Did you know that if you want to get a home loan for a house and land package, then you'll need to get a specialised loan for it? Our latest blog talks will tell you everything you need to know about construction loans!
For the uninitiated, home loans can be pretty confusing, with all the different lenders, rates and so many different types of loans - it's no wonder people often rely on experts like mortgage brokers to help them find a suitable deal! Plus, did you know that if you are planning to build your first home with a house and land package, you will need a different sort of loan all together? Yep, you are going to need a loan called a constuction loan.
A construction loan is the type of loan you would need to get when you purchase a house and land package … but how does it differ from a 'normal' home loan?
A construction loan is a unique type of home loan for people who are building their home, the main difference between a construction loan and a regular home loan is that instead of receiving a lump sum of the loan amount at settlement like with a regular home loan, the loan amount is made available in a series of progress payments, in time with the stages of construction.
The payment made at each of these stages is called a draw down and interest is only charged on the amount that is outstanding in the loan balance as the home is built. So, if you have a $400,000 loan but have only drawn down $20,000, you'll only be charged interest on that $20,000 until you make further draw downs. Once your home is finished, you will begin paying principal and interest repayments on the loan.
One of the main benefits of having a construction loans when building a house and land package, is that by paying in stages, you are only paying for work that has been completed – if work on your home stalls then you don't need to make the next payment until the next stage is reached. You will also benefit from paying less interest and lower repayments while your new home is being constructed – more money to pay your rent or save up for furniture for your new home!
If you'd like to learn more about construction loans and how to get the best one for you, talk to the construction loan experts at Bluebay Home Loans today!


text:
What Is Added to Ponds to Slow Down Algae Growth?
By Mike Maxfield
What Plants Can Use Fish Scales as Fertilizer?
Shade Structures for Ponds
Pond Herbicides for Algae Weeds
The Dangers of Landscape Ponds
Slime Algae on Backyard Ponds
Algae are essential to a healthy pond ecosystem, providing oxygen to the water and forming the base of the pond's food chain. However, too much algae in a pond can be unsightly and create a range of other problems. Several things can be added to ponds to control algae growth, both over the short term as well as on an ongoing basis.
Barley Straw
Barley straw is an all-natural product that prevents the development of string algae. As the straw decomposes in water, it releases hydrogen peroxide which inhibits algae growth. Since it is more effective at preventing algae than killing existing blooms, it is recommended that any existing algae be physically removed from the pond before the initial application. Barley straw can be purchased in a variety of forms, including bales, packed in mesh bags, pellets and liquid. It is not harmful to fish, pets or livestock.
Pond dye, also known as shading, slows algae growth by limiting the amount of sunlight penetration into the water. Available in either blue or black, the dye also colors the water in a way that some people find aesthetically pleasing. Dyes are most effective and last longer in excavated ponds that receive very little runoff water. Additional dye needs to be added periodically as the color will fade over time due to physical degradation and dilution from rain and runoff. Natural pond dyes are not harmful to fish, but copper sulfate dyes should be avoided.
Fish and Scavengers
Having fish and other aquatic creatures in your pond can help limit algae growth. Snails and tadpoles eat multicelled algae as well as decomposing plant material that provides nutrients for algae. Several species of fish, including Koi and goldfish, also eat algae. It's important to not over feed the fish, giving them only what they will eat in a few minutes as uneaten food will decompose and provide additional nutrients for algae.
Bacteria and Enzymes
Another biological approach to controlling algae is the use of bacteria, enzymes and other microbes. They work by feeding on the nutrients found in decomposing plant material that would otherwise support algae growth. They can be applied directly to the pond, in the pond's pump filter or a combination of both. In addition to controlling algae, these bacteria can reduce the amount of suspended particulate matter and solids and control odor.
Commercial algaecides are a highly effective, fast-acting method to control algae. They are also a temporary solution as their effectiveness wears off quickly. Most algaecides are also toxic to fish and other algae-controlling bacteria. However, algaecide products containing sodium carbonate peroxyhydrate are not toxic since they work by releasing hydrogen peroxide into the water, similar to using barley straw.
Bordine's: Water Gardens Algae Control & Pond Balance
Sportsturf: Pond Management 101
Ohio State University Extension: Dyes and Aquatic Plant Management
New Mexico State University: Managing Filamentous Algae in Ponds
Mike Maxfield began writing professionally in 1981. After earning his BA in communications from California State Fullerton, he spent the next 26 years providing public affairs and media relations services for several local government agencies. Maxfield's writing career has included public relations and copywriting work for a range of public agencies, private sector companies and not-for-profit organizations.
Pond Algae Control Products
How to Shade a Garden Pond
How to Kill Pond Moss
How Long Will Firestone Pond Liners Last?
Mosquito Killer for a Pond
How to Shock a Pond
Types of UV Pond Filters
How to Maintain Clear Water in Garden Ponds
Does Freshwater Seaweed Make Good Fertilizer?
1 Pond Algae Control Products
2 How to Shade a Garden Pond
3 How to Kill Pond Moss
4 How Long Will Firestone Pond Liners Last?

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Convert SQL to PL/SQL For "IF NOT EXISTS" I have some SQL code that I want to convert into PL/SQL for Oracle, however I'm struggling to find a good alternative for the "IF NOT EXISTS" function. Can someone help?
Here's the SQL that needs converting:
IF NOT EXISTS (SELECT * FROM SEC_ConfigSetting WHERE ItemKey='Version')
    BEGIN
        INSERT INTO SEC_ConfigSetting
               ([VersionNo]
               ,[Section]
               ,[ItemKey]
               ,[ItemValue]
               ,[ItemType])
         VALUES
               (1,4,'Version','V1.4.0',0)
    END
ELSE
    BEGIN
        /* Update database version */
        UPDATE [SEC_ConfigSetting]
        SET [ItemValue] = 'V1.4.0'
        WHERE ItemKey='Version'
    END

A: What you're doing looks like you need merge
merge into SEC_ConfigSetting s
  using (select 1 VersionNo, 4 Section,'Version' ItemKey,'V1.4.0' ItemValue, 0 ItemType from dual) d
  on (s.ItemKey = d.ItemKey)
when matched then update set
  ItemValue = d.ItemValue
when not matched then
  INSERT (VersionNo, Section,ItemKey,ItemValue,ItemType)
  VALUES (d.VersionNo, d.Section, d.ItemKey, d.ItemValue, d.ItemType);

And this can be used as a plain SQL or as part of PL/SQL script.

redpajama_set_name: RedPajamaStackExchange


text:
Research Canada Welcomes Fall Economic Update Commitment to a More Skilled and Innovative Canada, but where's the Research Investment?
OTTAWA, OCTOBER 25, 2017 – Minister Bill Morneau's Fall Economic Update presented to Parliament yesterday committed the government to a fiscal agenda in support of a more skilled and innovation nation through investments in the Innovation Superclusters Initiative, the Strategic Innovation Fund and a Pan Canadian Artificial Intelligence Strategy. Missing, however; was recognition of the vital importance of fundamental science, which underpins innovation, educates innovators and is a path to new technologies, new businesses, new jobs and new value creation for Canada.
"Research Canada applauds the Government of Canada in taking definitive steps in support of innovation and equipping Canadians with the skills they need to succeed in a knowledge-based economy," says Dr. Robert McMaster, Chair of Research Canada and VP, Research at Vancouver Coastal Health. "The government's efforts will be stifled; however, if investment in publically-funded research stagnates in the 2018 Budget. Canada's innovation engine requires enhanced public support of its primary fuel — basic science research — in order to attract and spur further investment and development by the private sector."
"We call on the federal government to implement the recommendations detailed in Canada's Fundamental Science Review including multi-year investments for renewal of fundamental science in Canada," says Ms. Deborah Gordon-El-Bihbety, President and CEO of Research Canada. "In particular, Research Canada fully supports the Report's recommendation of an increased investment of $485 million over four years to fund investigator-led research."
Research Canada looks forward to working with the Government of Canada in an effort to strengthen Canada's research and science base by investing in the discovery research that will fuel the next generation of innovations, create new industries, spur job creation and fuel economic growth.
Sean Dillon-Fordyce
E-mail: sfordyce@rc-rc.ca
Research Canada is a national, broad-based alliance dedicated to advancing health research and health innovation through collaborative advocacy. Our mission is to improve the health and prosperity of all Canadians by championing Canada's global leadership in health research and innovation. Our key goals are to ensure that health research is a high priority of the Federal Government and to increase investments in health research from all sources.
Research Canada announces winners of 2017 Leadership in Advocacy AwardResearch Canada Celebrates Leadership in Indigenous Health Research and Health Research Advocacy


text:
# coding: utf-8

module UIAutoMonkey
  require 'fileutils'
  require 'timeout'
  require 'rexml/document'
  require 'erubis'
  require 'json'

  class MonkeyRunner
    TRACE_TEMPLATE='/Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/PlugIns/AutomationInstrument.xrplugin/Contents/Resources/Automation.tracetemplate'
    RESULT_BASE_PATH = File.expand_path('crash_monkey_result')
    RESULT_DETAIL_EVENT_NUM = 20
    TIME_LIMIT_SEC = 100

    include UIAutoMonkey::CommandHelper

    def run(opts)
      @options = opts
      if @options[:show_config]
        show_config
        return true
      elsif @options[:list_app]
        list_app
        return true
      elsif @options[:list_devices]
        list_devices
        return true
      elsif @options[:reset_iphone_simulator]
        reset_iphone_simulator
        return true
      end
      ###########
      log @options.inspect
      FileUtils.remove_dir(result_base_dir, true)
      FileUtils.makedirs(result_base_dir)
      generate_ui_auto_monkey
      ###########
      start_time = Time.now
      result_list = []
      total_test_count.times do |times|
        @times = times
        setup_running
        result = run_a_case
        finish_running(result)
        result_list << result
      end
      #
      create_index_html({
          :start_time => start_time,
          :end_time => Time.now,
          :result_list => result_list,
      })
      all_tests_ok?(result_list)
    end

    def setup_running
      # kill_all('iPhone Simulator')
      FileUtils.remove_dir(result_dir, true)
      ENV['UIARESULTSPATH'] = result_dir
      @crashed = false
    end

    def run_a_case
      log "=================================== Start Test (#{@times+1}/#{total_test_count}) ======================================="
      cr_list = crash_report_list
      start_time = Time.now
      watch_syslog do
        begin
          Timeout.timeout(time_limit_sec + 5) do
            run_process(%W(instruments -w #{device} -l #{time_limit} -t #{TRACE_TEMPLATE} #{app_path} -e UIASCRIPT #{ui_auto_monkey_path} -e UIARESULTSPATH #{result_base_dir}))
          end
        rescue Timeout::Error
          log 'killall -9 instruments'
          kill_all('instruments', '9')
        end
      end
      new_cr_list = crash_report_list
      # increase crash report?
      unless cr_list[0] == new_cr_list[0]
        @crashed = true
        log "Find new crash report: #{new_cr_list[0]}"
        FileUtils.copy(new_cr_list[0], result_dir)
      end
      # output result
      create_result_html(parse_results)

      {
        :start_time => start_time,
        :end_time => Time.now,
        :times => @times,
        :ok => !@crashed,
        :result_dir => File.basename(result_history_dir(@times)),
        :message => nil
      }
    end

    def finish_running(result)
      FileUtils.remove_dir(result_history_dir(@times), true)
      FileUtils.move(result_dir, result_history_dir(@times))
      kill_all('iPhone Simulator')
    end

    def create_index_html(result_hash)
      er = Erubis::Eruby.new(File.read(template_path('index.html.erb')))
      result_hash[:test_count] = result_hash[:result_list].size
      result_hash[:ok_count] = result_hash[:result_list].select {|r| r[:ok]}.size
      result_hash[:ng_count] = result_hash[:test_count] - result_hash[:ok_count]
      open("#{result_base_dir}/index.html", 'w') {|f| f.write er.result(result_hash)}
      copy_html_resources
    end

    def copy_html_resources
      bootstrap_dir = File.expand_path('../../bootstrap', __FILE__)
      FileUtils.copy("#{bootstrap_dir}/css/bootstrap.css", result_base_dir)
      FileUtils.copy("#{bootstrap_dir}/js/bootstrap.js", result_base_dir)
    end

    def all_tests_ok?(result_list)
      result_list.select {|r| !r[:ok]}.empty?
    end

    def show_config
      puts File.read(config_json_path)
    end

    def show_extend_javascript
      if @options[:extend_javascript_path]
        filename = @options[:extend_javascript_path]
        return File.exist?(filename), filename
      end
    end

    def list_app
      puts find_apps('*.app').map{|n| File.basename n}.uniq.sort.join("\n")
    end

    def list_devices
      puts devices.join("\n")
    end

    def log(msg)
      puts msg
    end

    def reset_iphone_simulator
      FileUtils.rm_rf("#{Dir.home}/Library/Application\ Support/iPhone\ Simulator/")
      puts 'reset iPhone Simulator successful'
    end

    def total_test_count
      (@options[:run_count] || 2)
    end

    def device
      @options[:device] || devices[0]
    end

    def app_path
      @app_path ||= find_app_path(@options)
    end

    def app_name
      File.basename(app_path).gsub(/\.app$/, '')
    end

    def find_apps(app)
      `"ls" -dt #{ENV['HOME']}/Library/Developer/Xcode/DerivedData/*/Build/Products/*/#{app}`.strip.split(/\n/)
    end

    def devices
      `"instruments" -s devices`.strip.split(/\n/).drop(2)
    end

    def find_app_path(opts)
      app_path = nil
      if opts[:app_path].include?('/')
        app_path = File.expand_path(opts[:app_path])
      elsif opts[:app_path] =~ /\.app$/
        apps = find_apps(opts[:app_path])
        app_path = apps[0]
        log "#{apps.size} apps are found, USE NEWEST APP: #{app_path}" if apps.size > 1
      end
      unless app_path
        raise 'Invalid AppName'
      end
      app_path
    end

    def time_limit
      time_limit_sec * 1000
    end

    def time_limit_sec
      (@options[:time_limit_sec] || TIME_LIMIT_SEC).to_i
    end

    def ui_auto_monkey_original_path
      File.expand_path('../../ui-auto-monkey/UIAutoMonkey.js', __FILE__)
    end

    def ui_auto_monkey_path
      "#{result_base_dir}/UIAutoMonkey.js"
    end

    def result_base_dir
      @options[:result_base_dir] || RESULT_BASE_PATH
    end

    def result_dir
      "#{result_base_dir}/Run 1"
    end

    def result_history_dir(times)
      "#{result_base_dir}/result_#{sprintf('%03d', times)}"
    end

    def crash_report_dir
      "#{ENV['HOME']}/Library/Logs/DiagnosticReports"
    end

    def crash_report_list
      `ls -t #{crash_report_dir}/#{app_name}_*.crash`.strip.split(/\n/)
    end

    def grep_syslog
      'tail -n 0 -f /var/log/system.log'
    end

    def console_log_path
      "#{result_dir}/console.log"
    end

    def template_path(name)
      File.expand_path("../templates/#{name}", __FILE__)
    end

    def generate_ui_auto_monkey
      extend_javascript_flag, extend_javascript_path =  show_extend_javascript
      orig = File.read(ui_auto_monkey_original_path)
      config = JSON.parse(File.read(config_json_path))
      replace_str = "    this.config = #{JSON.pretty_generate(config, :indent => ' '*6)}; \n"
      js = replace_text(orig, replace_str, '__UIAutoMonkey Configuration Begin__', '__UIAutoMonkey Configuration End__')
      if extend_javascript_flag
        js = File.read(extend_javascript_path) + "\n" + js
      end
      File.open(ui_auto_monkey_path, 'w') {|f| f.write(js)}
    end

    def config_json_path
      @options[:config_path] || template_path('config.json')
    end

    def replace_text(orig, replace_str, marker_begin_line, marker_end_line)
      results = []
      status = 1
      orig.each_line do |line|
        if status == 1 && line =~ /#{marker_begin_line}/
          status = 2
          results << line
          results << replace_str
        elsif status == 2 && line =~/#{marker_end_line}/
          status = 3
        end
        results << line unless status == 2
      end
      results.join('')
    end

    def parse_results
      filename = "#{result_dir}/Automation Results.plist"
      log_list = []
      if File.exists?(filename)
        doc = REXML::Document.new(open(filename))
        doc.elements.each('plist/dict/array/dict') do |record|
          ary = record.elements.to_a.map{|a| a.text}
          log_list << Hash[*ary]
        end
        @crashed = true if log_list[-1][LOG_TYPE] == 'Fail'
      end
      log_list
    end

    def create_result_html(log_list)
      latest_list = LogDecoder.new(log_list).decode_latest(RESULT_DETAIL_EVENT_NUM)
      hash = {}
      hash[:log_list] = latest_list.reverse
      hash[:log_list_json] = JSON.dump(hash[:log_list])
      crash_report = Dir.glob("#{result_dir}/*.crash")[0]
      hash[:crash_report] = crash_report ? File.basename(crash_report) : nil
      hash[:crashed] = @crashed

      er = Erubis::Eruby.new(File.read(template_path('result.html.erb')))
      open("#{result_dir}/result.html", 'w') do |f|
        f.write(er.result(hash))
      end
      FileUtils.copy(template_path('result_view.js'), "#{result_dir}/result_view.js")
    end

    def watch_syslog
      STDOUT.sync = true
      stdin, stdout, stderr = Open3.popen3(grep_syslog)
      log_filename = "#{result_base_dir}/console.log"
      thread = Thread.new do
        File.open(log_filename, 'a') do |output|
          begin
            while true
              line = stdout.readline
              output.write(line) if line.include?(app_name)
            end
          rescue IOError
            log 'tail finished: system.log'
          end
        end
      end
      yield
      sleep 3
      stdout.close; stderr.close; stdin.close
      thread.join
      FileUtils.makedirs(result_dir) unless File.exists?(result_dir)
      if File.exists?(log_filename)
        FileUtils.move(log_filename, console_log_path)
      end
    end
  end

  LOG_TYPE = 'LogType'
  MESSAGE = 'Message'
  TIMESTAMP = 'Timestamp'
  SCREENSHOT = 'Screenshot'

  class LogDecoder
    def initialize(log_list)
      @log_list = log_list
    end

    def decode_latest(num=10)
      hash = {}
      ret = []
      @log_list.reverse.each do |log|
        break if num == 0
        if log[LOG_TYPE] == 'Screenshot'
          if log[MESSAGE] =~ /^action/
            hash[:action_image] = log[MESSAGE]
          elsif log[MESSAGE] =~ /^monkey/
            hash[:screen_image] = log[MESSAGE]
            hash[:timestamp] = log[TIMESTAMP]
            # emit and init
            if block_given?
              yield(hash)
            else
              ret << hash
            end
            hash = {}
            num -= 1
          end
        elsif log[LOG_TYPE] == 'Debug' && log[MESSAGE] =~ /^target./
          hash[:message] = log[MESSAGE] unless log[MESSAGE] =~ /^target.captureRectWithName/ && log[MESSAGE] =~ /switcherScrollView/
        end
      end
      ret
    end
  end
end

redpajama_set_name: RedPajamaGithub


text:
"Down by the River" este un cântec inspirat din muzica folk a formației germane Milky Chanse. Este al doilea single de pe albumul lor de debut, Sadnecessary, pe 28 martie 2014  prin casa de discuri Lichtdicht Records. Piesa a intrat în topuri în țări precum Franța, Germania, Elveția și Marea Britanie. Piesa a fost scrisă si produsă de membrii trupei. Cântecul apare pe coloana sonoră pentru  jocuri video publicate de EA Sports, FIFA 15.

Sensul
Înțelesul piesei, așa cum a explicat vocalistul trupei, Clemens, într-un comentariu, este chiar despre un râu; Fulda, pentru a fi mai exact. Piesa a fost scrisă pe baza unei experiențe ce a avut în josul râului.

Versiuni

Lansare

Referințe

Discuri single din 2014
Cântece din 2014

redpajama_set_name: RedPajamaWikipedia


I have a few pics to show you of the Colt Collector's Association 2009 Auction Gun (on which I scrimmed the ivory grips). I am hoping for pics that show the entire thing, and I know I'll be getting more eventually, but yeah right like I could wait!
In other news I HATE HOT WEATHER. It was over 100 this weekend. There's just no need for that. Grumble.
I am rearranging the scrimshaw/engraving part of the studio again. I just have not been happy with the setup, and since at least for the next while I'm doing more scrim than metal engraving, I'm going to try working on the tabletop again instead of at the vise. This will change the whole placement of the scope and chair and actually allow me to sit more like a normal person. Less back pain = yay. And I bought a set of plastic storage drawers at Staples so I can get all my supplies in order. I have trouble maintaining tidiness, but for some reason sorting things into labeled plastic baggies and organizing into drawers brings great glee. Weird.


text:
Estimating Traffic Disruption Patterns with Volunteered Geographic Information
by Chico Q. Camargo, et al.
Accurate understanding and forecasting of traffic is a key contemporary problem for policymakers. Road networks are increasingly congested, yet traffic data is often expensive to obtain, making informed policy-making harder. This paper explores the extent to which traffic disruption can be estimated from static features from the volunteered geographic information site OpenStreetMap (OSM). We use OSM features as predictors for linear regressions of counts of traffic disruptions and traffic volume at 6,500 points in the road network within 112 regions of Oxfordshire, UK. We show that more than half the variation in traffic volume and disruptions can be explained with static features alone, and use cross-validation and recursive feature elimination to evaluate the predictive power and importance of different land use categories. Finally, we show that using OSM's granular point of interest data allows for better predictions than the aggregate categories typically used in studies of transportation and land use.
Chico Q. Camargo
Jonathan Bright
Sridhar Raman
Scott A. Hale
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
Transportation networks are highly complex and the design of efficient t...
Yihang Zhang, et al. ∙
Let Trajectories Speak Out the Traffic Bottlenecks
Traffic bottlenecks are a set of road segments that have an unacceptable...
Hui Luo, et al. ∙
Traffic flow prediction using Deep Sedenion Networks
In this paper, we present our solution to the Traffic4cast2020 traffic p...
Alabi Bojesomo, et al. ∙
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
Accurate traffic prediction is a key ingredient to enable traffic manage...
Luca Hermes, et al. ∙
Dynamic and interpretable hazard-based models of traffic incident durations
Understanding and predicting the duration or "return-to-normal" time of ...
Kieran Kalair, et al. ∙
On feature selection and evaluation of transportation mode prediction strategies
Transportation modes prediction is a fundamental task for decision makin...
Mohammad Etemad, et al. ∙
Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
We develop a modeling framework to characterize the functional relations...
Jeffrey W. Doser, et al. ∙
Understanding and forecasting traffic is an important task for urban policymakers. Road networks are by far the most heavily used part of transport infrastructure (for example, 64% of all trips in the UK were made by car in 2016 [1] ); yet compared to other transportation modes (such as rail and air) basic data about traffic flow on roads is largely lacking. In the last decade, a variety of novel data sources have started to offer the possibility of filling this gap, such as data from GPS transponders on mobile phones (see ref. [2] for a review) or data from social media [3] , which are generating considerable academic interest. Here, we contribute to this growing literature on the use of new data sources to understand traffic by using volunteered geographic information from OpenStreetMap (OSM) to understand what types of land use are associated with traffic jams, as well as increased traffic volume.
The connection between land use and transport is a classic subject in the literature [4, 5, 6]
, though land use categories are often classified at a highly aggregate level (e.g., defining areas as
residential, commercial, or industrial) and data have typically been expensive to put together [7] . OSM is very promising in this regard in that its data is highly granular, offering a classification of different types of commercial activity, public amenities and other forms of land use, but also in the fact that all this data is freely and openly available. The completeness and accuracy of OSM coverage has been assessed in previous studies [8, 9, 10, 11, 12, 13, 14, 15, 16] , yielding positive but cautious results, particularly about road networks. It has also been used to successfully identify the types of trips which human mobility models struggle to predict accurately [17] .
We test the extent to which OSM data can offer a good estimation of the volume of overall traffic and the number of traffic disruptions, defined as any deviation from normal smooth traffic on a road network, by making use of a series of linear regression models. For the models of the traffic disruptions volume, observations are the geographic (latitude and longitude) points where traffic disruptions were observed in the network and the response variable is the number of traffic disruptions observed during the month of March 2017.
The data analysis pipelines for the two sets of linear models in this study are described in Figure 1. As shown in the top panels (a)
, we first produce kernel density estimates (KDE) of every OSM category and meta-category. We then estimate the number of traffic disruptions at a given latitude and longitude using the KDEs of either the OSM meta-categories or of the OSM categories at each point. To produce the KDEs, we made use of a Gaussian kernel searched over a range of bandwidth parameters before adopting a bandwidth of
0.001, which captures the range of spatial variation of all OSM points of interest. The specific value of the bandwidth parameter did not qualitatively affect our results. These KDEs allow us to estimate the density of any type of OSM feature at all of the points where traffic disruptions were reported.
As shown in the bottom panels (b), we also perform a second set of linear regressions where we aggregate the OSM data points into a total count for every one of the 112 electoral wards in the county of Oxfordshire, UK. We then estimate the volume of traffic going into every ward using either counts of the OSM meta-categories or all OSM categories for each ward.
-0.09**
-0.10*
0.26***
Adjusted R2
(a) Meta-categories only
(b) Granular model
Table 3: Granular land-use categories from OpenStreetMap allow for more detailed understandings of traffic disruptions. Compared with the traditional land-use categories shown in (a) that produce an adjusted R2=0.11, the granular classifications used in (b) increase the adjusted R2 to 0.55
. Only a small subset of the 40 predictor variables are shown for (b). Respectively, *, ** and *** indicate
p<0.05, p<0.01 and p<0.001.
Estimating traffic disruptions
The first linear model to estimate traffic disruptions only makes use of the meta-categories of OSM features (see Table 3a). These meta-categories represent traditional classifications of land use types. The model only weakly fits the traffic disruptions data, resulting in an adjusted R2 of 0.11. Individual coefficients show that commercial areas are the ones most associated with high traffic, whilst industrial areas are the least so. We also tested different versions of the model only estimating distributions on weekdays and weekends, as the nature of traffic disruptions on these days could be different, but the overall fit to the log-transformed data was similar.
The second model has more granular land-use data by making use of all OSM categories that were observed at least a hundred times in Oxfordshire, resulting in KDEs for 40 different types of point (from pubs, schools and restaurants to graveyards, postboxes and gardens). This model fits the log-transformed data considerably better than the meta categorization model as captured by the adjusted R2, which is a goodness-of-fit metric that takes into account the different number of independent variables and is a common metric for model comparison in computational social science [18, 19, 20] . This granular model results in an adjusted R2=0.55. The model coefficients of largest absolute value are represented in Table 3b, and their corresponding p-values are indicated as well.
The second, granular model gives estimates of how things we might expect to explain local traffic jams vary with actual traffic disruptions. For example, one would expect places of worship and schools to both have a relatively high number of traffic disruptions, but the coefficients in this model indicate a large difference between the coefficient corresponding to the relationship between the number of points of interest tagged as schools and the log-transformed number of traffic disruptions and the corresponding coefficient for places of worship. The analysis, however, is only correlational: OSM points of interest tagged as farmland, parking and graveyards all have high positive coefficients. The high number of traffic disruptions around such points might be due to traffic network features such as narrow roads rather than the effects of these OSM features directly.
Estimating traffic volume
We also test the effectiveness of OSM data in estimating the traffic volume in Oxfordshire. For this variable, rather than using KDEs to estimate the density of each OSM feature at a given road, we aggregate the number of points of interest tagged with each meta-category and category, producing two sets of independent variables for every ward: one corresponding to the total number of points tagged with each one of the 6 OSM meta-categories, and one corresponding to the points in every ward in the 40 categories. We then produce two corresponding linear regression models using the log-transformed total traffic flowing into a ward as the dependent variable.
The linear regression models built with the traffic volume data show the same qualitative trend as the ones built with traffic disruption data. The first model, with the 6 meta-categories, results in an adjusted R2 of 0.26. Its coefficients indicate that OSM points tagged as commercial are associated with heavier incoming traffic, while points tagged as recreational are negatively associated with it. Coefficients are presented in Table S1.
The finer-grained model, featuring 40 OSM categories, naturally shows a more nuanced scenario. Not only does it provide a better fit to the data, with an adjusted R2 of 0.45, but it also provides more detail into the meta-categories used in the simpler linear models. Categories such as telephone and university show strong associations with higher levels of incoming traffic, whereas categories such as forest, meadow and allotments show weaker associations.
Not surprisingly, some OSM categories are also highly correlated, in the sense that they often appear in the same wards. Figure 2 shows these correlations in detail. It shows a heatmap displaying the Pearson correlation between the distribution of OSM categories over wards, giving higher values to pairs of OSM categories that often appear in the same wards (e.g, forest and meadow), and lower values to pairs of wards that rarely co-occur (e.g., farmyard and fast food
). The figure also shows the result of performing hierarchical clustering on the OSM categories according to their correlation. There is a cluster formed by
farm, farmland, farmyard, forest, meadow, graveyard and reservoir, which separates these rural categories from more urban categories as university or retail.
For both the incoming traffic volume per ward and the number of traffic disruptions, the jump from 6 meta-categories to 40 OSM categories implied a change from a linear model with a poor fit to a model with a better fit, indicated by the changes in their adjusted R2. It is natural to then ask if all 40 OSM categories are necessary for the new model to work, or if an equally good fit could be obtained by selecting a different number of meta-categories, or a subset of those 40 OSM categories, excluding correlated categories. This is discussed in the next subsection.
We address the explanatory power of each variable in these linear models using feature ranking with recursive feature elimination, aided by cross-validated selection of the best number of features, as implemented in the scikit-learn Python library [21] . For both dependent variables, i.e., the incoming traffic volume per ward and the volume of traffic disruptions on a point in the road network, we perform 1000 rounds of k-fold cross-validation with k=10, scoring models for their R2. For every cross-validation round, the 6 or 40 independent variables are then ranked according to their importance, which in this case is the magnitude of their corresponding coefficients in the linear models. Selected features are assigned rank 1, with the next-best variable being assigned rank 2, and so on until the last variable.
As multiple cross-validation rounds might result in different rankings of their predictor variables, we combine all rankings by calculating the stability of every variable, as well as its mean rank. Stability selection [22]
is a method which provides a useful balance between feature selection and data interpretation, by evaluating how often a given feature is included among the most important (i.e., rank
1) for a model. Strong or important features should achieve scores close to 1, indicating that most of the 1000 cross-validation rounds ranked them as one of the best features for prediction. Any weaker but still relevant features should still have non-zero scores, as they ought to be selected as best features at least occasionally. Finally, irrelevant features should return near-zero scores, indicating that they are very unlikely to feature among the selected variables.
For the volume of traffic disruptions, both the mean rank and the stability analysis reveal the same pattern, as shown in Tables 6 and 9. The meta-category residential features at the top, with both mean rank and stability equal to 1, indicating a variable that featured as important in all of the 1000 cross-validation rounds. It is then followed by the meta-category of recreational, which still features as important, with all other meta-categories featuring with a lower rank, and a stability less than 0.6. The corresponding granular OSM categories show the categories farmland, residential, parking, forest, and farmyard at the top, with mean rank and stability of 1.000, indicating that they were considered important variables in all 1000 cross-validation rounds. These categories are followed by farm, meadow, and industrial, with stability of 0.999 and respective mean ranks of 1.001, 1.002 and 1.003.
Tables 6 and 9 also show the mean rank and stability results for the total incoming traffic volume. Reported results are for trips on weekday mornings, but qualitatively similar results are obtained when using the full collection of trips in the dataset as shown in Table S2. The meta-category commercial features at the top, with both mean rank and stability equal to 1, indicating a variable that featured as important in all of the 1000 cross-validation rounds. It is then followed by the meta-category of recreational, which still features as important, with all other meta-categories featuring with a lower rank, and a stability less than or equal to 10%. The corresponding granular OSM categories show fast-food at the top, with a mean rank and stability of 1. The categories post box and cafe feature next. OSM categories such as farm and farmyard feature with lower mean ranks, and stability under 0.7. One must bear in mind that the OSM categories residential and commercial are not equivalent to the meta-categories residential and commercial. This point is discussed in more detail in the next section.
(a) Meta-categories only, traffic disruptions
(b) Meta-categories only, traffic volume
Table 6: Average ranking and stability of different meta-categories in predicting the number of traffic disruptions and the incoming volume for every Oxfordshire ward.
(a) Granular model, traffic disruptions
(b) Granular model, traffic volume
Table 9: Average ranking and stability of different OSM categories in predicting the number of traffic disruptions and the incoming volume for every Oxfordshire ward. Only the top 10 variables according to ranking are shown.
The analysis presented in this paper shows how fine-grained land use categories can be used to estimate traffic volume and traffic disruption patterns. In particular, we have shown that the fine-grained features available on OpenStreetMap can greatly increase the explanatory power of linear models. We have also shown the importance of different land use categories by using recursive feature elimination, and have used cross-validation to examine the predictive power of different models.
One useful application of these data and methods is to offer estimated answers to questions such as "what impact will placing another cafe at a given point have on traffic jams at that location?". For example, according to our fine-grained traffic models, the impact of a new school on the number of traffic disruptions in its area should be comparable to the impact of a new retail store or fast food restaurant. The linear model coefficients associated with the presence of these amenities are all approximately ci=0.05, meaning that that an increase by 1 in these variables (number of schools, retail stores, and restaurants) implies an increase of 5% in the log-transformed number of traffic disruptions, i.e., an increase in 12% in the monthly number of traffic disruptions at the location. These same categories—school, retail, and fast food—also have a positive correlation with the monthly volume of traffic going into a ward, even if with different coefficients. Respectively, the three categories have coefficients of 0.0010, 0.0021, and 0.0028, implying respective increases in 0.2%, 0.5%, and 0.7% in the total (non-log transformed) traffic flowing into areas.
It is important to remember the limitations of OpenStreetMap land use categories. For example, the OSM categories residential and commercial are not equivalent to the meta-categories residential and commercial, and the OSM dataset includes tags such as farmland and farmyard along with farm, which was deprecated and substituted by the two other farm categories in 2017 [23] . Categories and meta-categories might differ in the quality of the annotation, and in how informative they are to the traffic predictions. The cross-validation and recursive feature elimination performed here are first steps in tackling this issue. The rank and stability analysis provide additional evidence that higher numbers of traffic disruptions are observed in residential and rural areas, indicated by meta-categories such as residential and OSM categories such as farmland, forest and farmyard. This result matches the distribution of OSM categories over all wards, as indicated in Figure 2, which shows that OSM tags such as house, farmland, residential, and farmyard are often seen in the same wards, while rarely co-occurring with OSM categories such as commercial or cafe. The latter two OSM categories do not feature as important predictors for the number of traffic disruptions, but they do feature as important predictors for traffic volume, where they show the highest rank and stability, which is also observed for the meta-category commercial.
Our study also suggests promising avenues for future research. One of these would be to take advantage of the constantly evolving nature of OpenStreetMap to track the emergence of new physical features, and relate these to changes in traffic conditions, thus extending the correlations we have highlighted in this paper into a causal setting. Another would be to combine these with other sources of observational data, such as licensing applications, planning permission, and building regulations, to see if these can build on the baseline model we have constructed. Finally, it would be worthwhile extending our study to other countries and contexts, to see if the value of OSM's granular point of interest data is generalizable. As our ability to understand and explain traffic patterns improves so will the ability of policymakers to effectively design urban transport systems that serve the needs of their citizens.
OpenStreetMap data
Our geographical focus is the English county of Oxfordshire, a geographical area of just over 2,605 km2 and which contains around 680,000 inhabitants. For our OpenStreetMap (OSM) data, we downloaded points of interest from the OSM database which provide indications of the way land is used. Points of interest were downloaded in November 2017. One of the authors then assigned each point of interest to six meta-categories of land use: residential, industrial, commercial, recreational, institutional and green space. These categories are standard across the transport and land-use literature (see, for example, the typologies present in [4, 24, 7] ). We also preserved the more granular categorization given to the points by OSM itself. For example, our meta-category of commercial contains categories such as restaurant, pub and cafe. We chose to ignore OSM categories and meta-categories with less than a hundred points of interest in Oxfordshire, as well as categories indicating the location of the transport network itself, as these are obviously coterminous with our traffic disruption data.
Traffic volume and traffic disruptions data
We obtained the traffic disruption data from traffic disruption reports shared with us by the Oxfordshire County Council, which are sourced from a major traffic analytics company. These reports correspond to over 1.4 million traffic incidents from just over 6,500 points on the Oxfordshire traffic network (each point being approximately a 10m×10m square). The number of traffic disruptions counts at each point ranged from 1 to 64,313, and with an average of 219 traffic disruption counts per point. It is important to note that many traffic disruptions such as the ones studied in this paper do not result in casualties or police reports, meaning that data on car accidents only reflects a fraction of the incident estimates presented here.
For the traffic volume data, we used anonymised and aggregated GPS mobile phone data provided by a major smartphone operating system. Similar data sets have been validated and successfully used in urban mobility studies in San Francisco [25] and Amsterdam [26] . The data set contains estimated trip volumes for origin-destination pairs of wards in Oxfordshire between January and February 2017 in hourly increments. We took a subset of the data, only using trips inferred by the company to be made by vehicle (and not walking or cycling), and trips on weekdays made between 7am and 12pm (noon), which we aggregated into a total traffic going into every Oxfordshire ward over the two-month period. Using the whole day and/or including weekend trips yielded qualitatively similar results. Finally, we obtained shapefiles for the border of all Oxfordshire wards from the Digimap mapping data service [27] . Datasets were manipulated using dataframes from the Python Pandas library [28] .
[1] Department for Transport, Transport Statistics Great Britain 2016, https://bit.ly/2tsCsvq.
[2] E. I. Vlahogianni, M. G. Karlaftis, J. C. Golias, Short-term traffic forecasting: Where we are and where we're going. Transportation Research Part C: Emerging Technologies 43, 3–19 (2014).
[3] G. McNeill, J. Bright, S. A. Hale, Estimating local commuting patterns from geolocated twitter data.
EPJ Data Science
6, 24 (2017).
[4] M. Wegener, F. Fürst, Land-use transport interaction: State of the art, http://dx.doi.org/10.2139/ssrn.1434678 (2004).
[5] M. Lenormand, M. Picornell, O. G. Cantú-Ros, T. Louail, R. Herranz, M. Barthelemy, E. Frías-Martínez, M. S. Miguel, J. J. Ramasco, Comparing and modelling land use organization in cities. Royal Society Open Science 2, 150449 (2015).
[6] T. Louail, M. Lenormand, M. Picornell, O. G. Cantú, R. Herranz, E. Frias-Martinez, J. J. Ramasco, M. Barthelemy, Uncovering the spatial structure of mobility networks. Nature Communications 6 (2015).
[7] Y. Liu, F. Wang, Y. Xiao, S. Gao, Urban land uses and traffic 'source-sink areas': Evidence from gps-enabled taxi data in shanghai. Landscape and Urban Planning 106, 73–87 (2012).
[8] M. Haklay, How good is volunteered geographical information? a comparative study of openstreetmap and ordnance survey datasets. Environment and planning B: Planning and design 37, 682–703 (2010).
[9] J.-F. Girres, G. Touya, Quality assessment of the french openstreetmap dataset. Transactions in GIS 14, 435–459 (2010).
[10] D. Zielstra, A. Zipf, 13th AGILE international conference on geographic information science (2010), vol. 2010.
[11] M. Helbich, C. Amelunxen, P. Neis, A. Zipf, Comparative spatial analysis of positional accuracy of openstreetmap and proprietary geodata. Proceedings of GI_Forum pp. 24–33 (2012).
[12] A. Mashhadi, G. Quattrone, L. Capra, OpenStreetMap in GIScience (Springer, 2015), pp. 125–141.
[13] J. J. Arsanjani, P. Mooney, A. Zipf, A. Schauss, OpenStreetMap in GIScience (Springer, 2015), pp. 37–58.
[14] H. Senaratne, A. Mobasheri, A. L. Ali, C. Capineri, M. Haklay, A review of volunteered geographic information quality assessment methods. International Journal of Geographical Information Science 31, 139–167 (2017).
[15] J. Bright, S. De Sabbata, S. Lee, Geodemographic biases in crowdsourced knowledge websites: Do neighbours fill in the blanks? GeoJournal 83, 427–440 (2018).
[16] J. Bright, S. De Sabbata, S. Lee, B. Ganesh, D. K. Humphreys, Openstreetmap data for alcohol research: Reliability assessment and quality indicators. Health & place 50, 130–136 (2018).
[17] C. Q. Camargo, J. Bright, S. A. Hale, Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information. arXiv preprint arXiv:1905.07964 (2019).
[18] H. Choi, H. Varian, Predicting the present with google trends. Economic Record 88, 2–9 (2012).
[19] L. Wu, E. Brynjolfsson, Economic analysis of the digital economy (University of Chicago Press, 2015), pp. 89–118.
[20] A. Y. Lin, J. Cranshaw, S. Counts, Proceedings of the 2019 World Wide Web Conference (WWW'19), May (2019), pp. 13–17.
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay, Scikit-learn: Machine learning in Python.
Journal of Machine Learning Research 12, 2825–2830 (2011).
[22] N. Meinshausen, P. Bühlmann, Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72, 417–473 (2010).
[23] OpenStreetMap contributors, Openstreetmap mapnik and cartocss update, https://github.com/gravitystorm/openstreetmap-carto/blob/master/CHANGELOG.md (2017).
[24] S. Srinivasan, R. Provost, R. Steiner, Modeling the land-use correlates of vehicle-trip lengths for assessing the transportation impacts of land developments. Journal of Transport and Land Use (2013).
[25] B. Sana, J. Castiglione, D. Cooper, D. Tischler, Using Google's Aggregated and Anonymized Trip Data to Support Freeway Corridor Management Planning in San Francisco, California. Transportation Research Record: Journal of the Transportation Research Board 2643, 65–73 (2017).
[26] V. L. Knoop, P. B. C. van Erp, L. Leclercq, S. P. Hoogendoorn, 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (2018), pp. 3832–3839.
[27] EDINA Digimap Ordnance Survey Service, OS MasterMap Topography Layer [Shape geospatial data], Scale 1, Tile: Oxfordshire, Ordnance Survey, Using: EDINA Digimap Ordnance Survey Service, https://digimap.edina.ac.uk/ (Downloaded in June 2018).
[28] W. McKinney, et al., Proceedings of the 9th Python in Science Conference (Austin, TX, 2010), vol. 445, pp. 51–56.
-0.0303**
Table 12: *
(a) Meta-categories, total traffic volume
(b) Meta-categories, total traffic volume


The name paints a pretty fierce mental image, does it not? Project Werewolf spawned in the creative mind of Jon Wolf, graphic artist extraordinaire and owner of the vinyl artisan business dubbed Wolf Designs. Do you see the pattern here?
With four times the horsepower and nearly six times the torque of the XP 1000's engine needing to be put to the sand, TMW turned to McMullen Racing, who set them up with a mid-engine Mendeola 2-D transmission/transaxle. If you think your UTV accessories are expensive, how about spending $7,500 on a transmission alone?
TMW set this car up with 934 full-size sand car CVs and axles. Their friends at Gear One provided 934 center board hubs for the rear, and 2 inch hollow spindle front hubs. With that much torque and a direct drive transmission, the factory axles would have splintered fairly quickly.
TMW quickly realized that their biggest obstacle was going to be creating a full rear suspension setup from scratch. The stock RZR rear end was never made to have a giant aluminum V8 and full-sized four speed transaxle hung off the back, and the trailing arms wouldn't accommodate the larger CV and hub diameters they were using.
Thankfully, TMW has some talented engineering power in-house. Using Solidworks (a powerful CAD-based computer software), the team drew up an entirely new front and rear suspension system. Using an in-house CNC waterjet cutter, TMW was able to cut the pieces, and then TIG weld their own chromoly suspension kit together for the Werewolf.
To accomplish this, TMW enlisted some special help from Mark Clark at Speed Sports, who provided the engine wiring harness and cooling parts, such as an electric water pump to conserve space at the front of the engine. No TMW build would be complete without a comfortable place to sit, and Herbie at Triple X Seats flexed his creative talent with a hand-tailored, one-off seat package.
After the engine and transaxle were installed, TMW had to figure out how to shift it. Jon at Outfront motorsports came up with an incredibly elegant, custom mid-engine shifting mechanism that allows the driver to shift the Mendeola like a sequential transmission, just as in the new Yamaha YXZ1000R.
The next obstacle was the shocks. Justin of Shock Therapy fame helped TMW determine the valving and spring rate that they needed to help the Werewolf function perfectly with all the added weight over the rear end. TMW and Wolf wanted this car to handle well through the whoops and in any terrain they might throw at it. Shock Therapy set the car up with 2.5 inch Walker Evans shocks on all four corners, accompanied by Walker Evans 2.5" triple bypass shocks in the rear.
Putting the power to the ground are a MASSIVE set of Sand Tires Unlimited Comp Cut paddles wrapped around gorgeous Raceline 17" forged aluminum wheels, undoubtedly the largest paddle set to ever be bolted to a UTV. The hookup came courtesy of the talented staff at Fullerton Sand Sports, or the "traction magicians" as we call them.
With all of these things going on in this XP4 1000, they needed more real estate in the dash, so a call was placed to GlazzCraft. A full carbon fiber custom dash allowed TMW to mount a 7″ Lowrance GPS, Auto Meter gauges, an array of switches, a Rugged Radio and intercom, and a full stereo system. Rockford Fosgate's new PX-2 full-function Bluetooth stereo receiver allows occupants to completely control the tunes, free of wires.
Being that the car was dreamed up by an artist, Jon and Amy at Wolf Designs came up with a breathtaking full metallic custom graphics design to really tie the project together. Billet Equipped dressed up the car with a plethora of custom billet products to complete the interior motif.
TMW incorporated their beautiful XP4 Dune Edition roll cage with a full safety glass windshield, and Sidewinder 4seater doors. They also added a 5-way, curved rear running brake and turn signal light. When it came to the exhaust, they ordered up some stainless tubing and built their own 4-2-1 custom headers, topped off with DynoMax bullet mufflers.
To take care of the loose wiring provided by the engine swap, TMW turned to XTC Motorsports. With all of the accessories added to this build, they needed a clean, simple, and reliable wiring install that wouldn't leave them stranded.
TMW has officially crossed the UTV/Sand Car barrier. It's the first UTV frame to ever be graced with a big American V8 to our knowledge (correct us if we are wrong!). The great thing about squeezing an LS2 into the XP4 1000 chassis is that you get the best of both worlds- all the accessories, comfort and function, and small size of a UTV, but you also get the massive horsepower and control of a full-size car.
It is named project Werewolf and rightly so- TMW has unleashed a wicked beast, with the most raw power ever stuffed into a performance Side by Side.
For more information on how you can spice up your rig, visit www.TMWOffroad.com.


text:
Do you have to move your ball from Ground Under Repair?
Is it compulsory to pick up from an area labelled GUR? Our Rules of Golf expert Steve Carroll explains
by Steve Carroll | December 16, 2022 | Rules of Golf
The bulldozers have been out, the rain has been falling like we all need to live in Arks rather than houses, and now it's frozen solid. Conditions on the course have been less than ideal.
That's winter golf for you, but whether it's inclement conditions or a course renovation, you can find yourself asking the sort of question that Ron Boyce recently emailed to me.
He wrote: "Can you please confirm the rule for taking relief from a bunker that has been deemed compulsory GUR?"
Rules of Golf explained: Is ground under repair compulsory?
I don't think this is specifically the question Ron is asking (we'll get to that in a minute) but his email raises a wider point about ground under repair that many players misunderstand.
If a committee has labelled an area of the golf course as GUR then you can take free relief, but you also have the option to play the ball as it lies.
There are a couple of caveats to this. If the area has been designated as a No Play Zone, then that's a very different matter.
Now, you are compelled to take relief and you must find the nearest point of complete relief where interference from the NPZ does not exist. You've got a one-club relief area in which to drop.
A committee could also bring in a drop zone and make it mandatory where there is an area of ground under repair they don't want you to play from but don't necessarily want to define as a no play zone.
On to Ron's main point. The definition of bunker says that when a bunker is being repaired and the committee defines the entire bunker as ground under repair, that means it is treated as part of the general area. It is not a bunker. You'd take relief as you normally would from an abnormal course condition under Rule 16.1.
Let's say the bunker is flooded with temporary water. There's a local rule – it's F-16 under the 2023 Rules – that allows committees to deal with this.
They need to specify exactly which bunker, or bunkers, are affected and they are also classified as ground under repair in the general area.
Now read more about Ground Under Repair relief
NOW READ: Can I play my ball from ground under repair?
NOW READ: Are tractor ruts ground under repair?
NOW READ: My ball is lost in GUR – what do I do?
Steve Carroll
A journalist for 23 years, Steve has been immersed in club golf for almost as long. A former captain and committee member, he has passed the Level 3 Rules of Golf exam with distinction having attended the national Tournament Administrators and Referee's Seminar. He has officiated at a host of high-profile tournaments, including Open Regional Qualifying and the PGA Fourball Championship. A member of NCG's Top 100s panel, Steve has a particular love of links golf and is frantically trying to restore his single-figure handicap.
Play Edgbaston & Sutton Coldfield in May for £160 per persom
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I hit my ball straight into the ground – can I have relief from the pitch mark?
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Møbelringen Cup 2011 var den 11. udgave af kvindehåndboldturneringen Møbelringen Cup og blev afholdt fra den 17. – 20. november 2011 i Norge.  vandt turneringen for sjette gang i træk.

Resultater

Eksterne henvisninger
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2011
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text:
Healthyton > Celeb Bio & Health > Hardwell
Hardwell - Bio, Net Worth, Salary Age, Height, Weight, Wiki, Health, Facts and Family
Hardwell is the best DJ for electronic music fans and a record producer at the moment. He is a saint DJ and fan-following worldwide. Hardwell is best known for his performance at music festivals like the Ultra Music Festival sunburn and Tomorrowland. DJ Hardwell was voted as the best DJ by DJ mag in the world in 2013 and 2014. He was then ranked fourth in the top 100 DJs in 2017 across the globe.
Well, how well do you know about Hardwell? If not much, we have compiled all you need to know about Hardwell's net worth in 2021, his age, height, weight, wife, kids, biography and complete details about his life. Well, if you're all set, here is what we know about Hardwell to date.
5 Is Hardwell Gay?
8 Net Worth, Salary & Earnings of Hardwell in 2021
DJ Hardwell was born in 1988 in Breda, North Brabant. His parents are Anneke and Corvan de Corput, and he began his musical training while he was still young at four years when he started piano lessons. When he was 12 years, he had already produced his first song in electro. He was influenced by DJ Tiesto when he was 14 years old, and he received a record deal by klubbheads.
So, how old is Hardwell in 2021 and what is his height and weight? Well, Hardwell's age is 33 years old as of today's date 2nd August 2021 having been born on 7 January 1988. Though, he is 5′ 8″ in feet and inches and 173cm in Centimetres tall, he weighs about 163.14 lbs in Pound and 74kg in Kilograms.
There is little information that is known concerning the Education of DJ Hardwell. Though he was born and raised in Dutch, many people believe that he went to one of the schools in the Netherlands. However, he joined a music school and piano classes when he was four years old.
Between 2014 and 2016, DJ Hardwell was in a romantic relationship with lady Yanicke Agnes, an event manager. The couple met in 2013 in a bar in his hometown Breda. Unfortunately, the couple broke up after many unresolved issues. Currently, reliable sources claim that Hardwell is single, but no one is certain about the case since he may have a secret affair.
Is Hardwell Gay?
Hardwell is among the world's best DJs, hence gathering many fans thanks to his fantastic work. It is no secret that fans love learning about the personal details of their idols, including their sexuality. Hardwell s straight and was once in a relationship with Yanicke Agnes, a Dutch event manager. The couple broke up, but this relationship means he is straight. Not to mention, there are no rumors to suggest otherwise.
Hardwell's breakthrough in music was in 2007 when he released a song, never Knew Love. This song became an instant hit, and it was on the German music charts, and he did not just stop there. He followed it with several other hit remixes that remained the top number for several weeks; these include You Do not Love Me.
He then founded a record label, Revealed Records, in 2010 to support and release music for young talents. Under this label, he has worked on over ten albums' compilations. He became very famous by 2011 thanks to founding his radio show, Hardwell on Air. Later he signed himself to another record deal with Kontor records which was essential for him because of the distributions it provided for him.
He later released a documentary that shows his travels and achievements, and he titled it I was Hardwell in 2013. He has grown in his stage performance, which makes him a global phenomenon across the globe, and people can describe his style as a mixture of different music styles like tech house, hip hop trance, and hardstyle drop.
Apart from just being a fan favorite and having a large following across the globe, Hardwell has consistently been acclaimed by his critics and counterparts. He has a long list of awards and nominations, which give strength to the facts mentioned above.
He received his first award at IDMA Best Breakthrough DJ in the year 2012, and this increased his firm. The following year, he was nominated for various categories like the best podcast, the best electro progressive house track, and the best global DJ, and the best remixes award.
Later on, he was also nominated and E1 the MTV European music award for the best global music label and the best-featured vocalist performance awards. He has recently been awarded as the best international DJ and the best big room house in 2017 in DJ awards. The many lists of awards he has received and nominations have justified how popular he is and his music and production creativity.
Net Worth, Salary & Earnings of Hardwell in 2021
As of 2021, Hardwell's net worth estimates to $30 million, a fortune that he has earned from his input in the music industry. The annual salary he gets is estimated to be around 905 million euros. His income comes from the public events he goes to and music festivals where he performs. He has released almost eight compilation albums.
There is also a studio album and a documentary film. There is a time that he had over 77 singles released in a year. Most of his albums and singles are often top in the music charts for several weeks. Also, Hardwell has frequent musicals that make him global popular with his friends, and he has scheduled for shows in places like Miami, Sao Paulo, London, Madrid, Shanghai, and Chicago.
When he was 13 years old, he dreamed of becoming the number one DJ in the world. And because of Hardwell's dedication and talent, he has been able to make this dream come true in 2013 after he became the globe's top DJ under SJ Mag
This celebrity has taken part in many music festivals
In 2018, he took a break from touring to focus more on his personal life
Hardwell is an inspiration to many young and upcoming DJs. He has been an active participant in the foundation that helps search young artists get contract managers and record labels. His parents are running this foundation, and he has set a perfect example for those who want to follow their dreams despite the challenges they may face in life.
Facts of Robbert van de Corput
full nameRobbert van de Corput
birthplaceBreda, Netherlands
Date of Birth January 07, 1988
Horoscope Capricorn
Lucky Stone Topaz
Lucky Color Brown
Best Match for Marriage Scorpio, Virgo, Taurus
nationalityDutch
net worth$30 million
professionDJ, Record Producer, and Remixer
weightIn Kilograms – 74 Kg, In Pounds – 163.14 lbs
eye colorDark brown
high schoolN/A
Rudy Mancuso


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ACCEPTED

#### According to
International Plant Names Index

#### Published in
Philipp. J. Sci. , C 6:388. 1912

#### Original name
null

### Remarks
null


Explore 2019 BMW 5 Series Touring, performance and technology features. We reviews the 2019 BMW 5 Series Touring Concept where consumers can find detailed information on specs, fuel economy, transmission and safety.
Explore the design, performance and technology features of the 2019 BMW 5 Series Touring. See models and pricing, as well as photos and videos. The 2019 BMW 5 Series Touring Price goes to excess the right kinds of excess to preserve its best-of status. Find out if the new 2019 BMW 5 Series Touring coupe takes a step forward in our first-drive review. See photos and get the story at Car and Driver.
Reviews, videos, latest news, specs and road tests on the 2019 BMW 5 Series Touring. Top Gear reviews the Release Date. Terrific refinement, class-leading technology, and incredible interior quality. Want to know more? Read more.
We've got one of many air vents twisting it would shut and open it which is a nicelittle contact coming along the sprint has a nice aggressive bezel above the gauges very clear trying – super minimalistic you have got some black leather-based and a few grey stitching alongside the dash as wellthen coming to the contact screen navigation system hitting the house button.
We've got many alternative settings your apple carplay and android auto after all your audio controls Wi-Fi and then you possibly can scroll over to your climate and see completely different settings like that you may see where all of the air is directed what's on and off extra controls beneath that and then all of your climate controls are positioned right here actually cool really this you spin left and rightand that really adjustments the temperature you even have an LCD display screen to correspond to that and then over on the suitable aspect this is how you modify your fan speed you get just a little screen as well and your research a see all the different buttons your defogger you're the Alcantara on the shift knob as well asthe shifter boot very easy to have interaction you to gear quick shifter extremely sighs good weighted shift knob to give 2019 BMW 5 Series Touring.


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Q: Linq-to-SQL cast exception with stored procedure that returns unnamed column I don't own the SP, but it returns a dataset with columns with names like:
FileID, SomethingNormal, Foo, Bar, SUM(bleh)

SUM(bleh) is unnamed. I add the stored proc using the dbml tool in VS2010 and it detects SUM(bleh) as Column1 and gives it an int type, which sounds alright.
However, when trying to run, the moment it tries to get the IEnumerable, it breaks by giving an error:

Specified cast is not valid.
Unhandled Exception: System.InvalidCastException: Specified cast is
  not valid.    at System.Data.SqlClient.SqlBuffer.get_Int32()    at
  System.Data.SqlClient.SqlDataReader.GetInt32(Int32 i)    at
  Read_RejectedRecordsHourlyBySubscriptionResult(ObjectMaterializer1 )
  at
  System.Data.Linq.SqlClient.ObjectReaderCompiler.ObjectReader2.MoveNext()

That happens the moment I try to iterate or if I get the enumerate manually.
In a dev environment I did SUM(bleh) as TotalBleh (rest assured all this names are fake >_>) and I had no issues with what I've done.
Anything I should know? Thanks!
EDIT:
This appears to be a bug with Linq-to-SQL. Strangely, the bug report says it supports -ONE- anonymous column (although no more) and in this case there is only one.
I will do it with basic SqlCommand and stuff. So much for commodity.


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Tenant sues for alleged injuries suffered after slipping in water from leaky roof
By Louisiana Record reports | Sep 4, 2015
GRETNA – A tenant is suing his landlord claiming he failed to repair a leaky roof that resulted in him being injured after slipping and falling in standing water.
David Hammer filed suit against Richard Jaeger and his insurer in the 24th Judicial District Court on July 9.
Hammer alleges that on Aug. 3, 2012 he moved into an apartment at 4509 Chalfont Drive in Metairie that had formerly been a garage. The plaintiff contends that Jaeger bought the property in 2013 and when he did the plaintiff told him about problems with the roof leaking during rainstorms. However, Hammer asserts Jaeger never repaired the leaky roof.
The plaintiff claims that on Feb. 23, 2015 he awoke and needed to use the bathroom and that as he was walking through the apartment's kitchen he slipped on water that had leaked from the roof and in falling to the floor suffered serious injuries.
The defendant is accused of negligence.
An unspecified amount in damages is sought for medical expenses, physical pain and suffering and mental anguish.
Hammer is represented by attorney James Maher III of New Orleans.
The case has been assigned to Division L Judge Donald A. Rowan Jr.
Case no. 751-392.
Case activity for Barrett Beach Bungalows vs BP Exploration & Production, Inc. on July 15
By The Louisiana Record | Jul 17, 2019
Court activity on July 12: Andrew Dodds vs BP Exploration & Production, Inc.
Case activity for Danyell Parker vs Elizabeth Callegari on July 15
Court activity on July 15: Barrett Beach Bungalows vs Bayer Healthcare Pharmaceuticals
Court activity on July 15: Barrett Beach Bungalows vs BP Exploration & Production, Inc.
Thank you for signing up for Louisiana Record Alerts! Please select the 0 organizations you wish to subscribe to.


When you have overdone it in the garden, or if you are feeling a little tender after your weekly round of golf now that you've retired, if your day job requires you to always be reaching, stretching, on your feet, on the go, if you work for yourself and can't afford down time when you feel worn out and fed up, or if you have reached the end of your tether with an ache that just will not go away, then I am just the person to help you.
I work in clinics in Bletchley, Bedford and Northampton, and you can bring your aches and pains to me. We will talk it through together, and I will help you understand what might be going on, provide treatment, and after care advice. You will feel better, and know a bit more about how to help yourself too.
I first attended as a visitor, and then was asked to sub for a member. For a while, I became a regular sub, but felt that I would not get the best of Enigma unless I joined. This year, I decided the time was right, and clicked on the website 'join' button. Even at my first visit, I felt I was among people who, as well as being passionate about their own businesses, would look for opportunities to help each others' business too, in a supportive and proactive way.
I have been made to feel very welcome, and the concerns I had about being maybe too small for a business network have been firmly rejected. It is certainly proving true, that you do business with people you know and trust, and the group of professionals I have joined in Enigma exemplify this.


Tournament starts at 9:30am prompt.
Expected finish times, 7:00pm for swiss and 11pm for final.
Prize Support will be given out on the day using the Official FFG Hyperspace Trial prize kit.
Make a weekend of it…Beanie Games will be open on Saturday 29th June from 10am-6pm for practice and general gaming, only £2.50 entry.
We have a Cafe on site and there will be a selection of Sandwiches and Hot dogs available on the day.
FREE PARKING all day Sundays at Wellington Square car park just opposite the shop.
Public transport: Stockton train station and main bus stops are 2 mins walk, Thornaby train station is 10 min walk.
Payment in full secures your place in the tournament.
This is an E-ticket - No physical tickets will be posted, simply show your order confirmation on the day.


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Jerome Steever (Wisconsin, 7 januari 1880 - San Diego, 5 januari 1957) was een Amerikaans waterpolospeler.

Jerome Steever nam als waterpoloër een maal deel aan de Olympische Spelen; in 1904. In 1904 maakte hij deel uit van het amerikaanse team dat het zilver wist te veroveren. Hij speelde voor de club Chicago Athletic Association

Amerikaans waterpoloër
Amerikaans zwemmer
Amerikaans olympisch deelnemer


ABBA are back with two new songs – some of us have been waiting for years for the next ABBA catchy tune. Agnetha (68), Anni-Frid (72), Bjorn (73) and Benny (71) have made a come-back.
At TPAS we support those that want to have fuller working lives and know that people don't just return to work for "Money, Money, Money" but also to give themselves a sense of "Knowing me, knowing you" purpose.
Much has changed though since 1982 when the group broke up, "the Winner takes it All" is no longer true and pension sharing on divorce is now possible; TPAS has a dedicated divorce appointment service to help people navigate this and other options. Consumers no longer have to "Take a chance on" their adviser and know that if they are on the FCA register they are regulated and qualified to give advice, please see our spotlight for more details. Since Pension Freedoms, you can do what "Voulez- Vous" with your Defined Contribution pension and can be guided by our team on the telephone with a Pension Wise appointment.
ABBA, alongside many musicians, are self-employed and TPAS is looking to do more work for the self-employed in the near future including piloting a self-employed Mid-Life Review in the summer. We hope to find "The Name of the Game" of retirement planning that works for people who are self-employed.
If you did indeed enjoy ABBA's "Arrival" the first time around, you are probably in those mid-life years too, so "When all is said and done", you may want to extend your working life or send out an "SOS" to build a bigger retirement income. We can give you tips on how this may affect your retirement.
Most people "I have a dream" that one day they will not have to work. In order to meet your retirement goals, you need to make sure that your pension is a real "Super Trouper". And if you want to have your own rock and roll comeback, "Does your Mother Know?".


Congratulations to Billy Pissions and all the designers that put together this amazing fashion show. Thank you to all the videographers, photographers and everybody involved with the production. Of course a very special thanks to all the Steven Papageorege Hair Academy students that worked on the hair and makeup for this event.
Visit us on facebook to see what our students are up to.


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Clarence Michael James Stanislaus Dennis, conocido como C. J. Dennis (7 de septiembre de 1876 - 22 de junio de 1938), fue un poeta australiano famoso por sus poemas humorísticos, especialmente The Songs of a Sentimental Bloke (en español: Cantos de un tipo sentimental), publicado a comienzos del siglo XX.

Biografía

Comienzos
C. J. Dennis nació en Auburn, South Australia. Su padre era propietario de hoteles en Auburn, y posteriormente en Gladstone y Laura. Su madre era de naturaleza enfermiza, por lo que Clarrie (como lo llamaban) fue inicialmente criado por sus tías abuelas, y finalmente concurrió al Christian Brothers College en Adelaida siendo ya adolescente.

Carrera
A la edad de 19 fue empleado como pasante de un abogado y mientras trabajaba allí publicó su primer poema. Posteriormente pasó a publicar en la revista The Bulletin, en forma similar a como habían hecho Banjo Paterson y Henry Lawson. Ellos tres son a menudo considerados los poetas más famosos de Australia; aunque en la actualidad la obra de Dennis es menos conocida, su edición de 1916 del The Sentimental Bloke vendió 65,000 copias el primer año, y para 1917 era el poeta más próspero de la historia australiana.

Muerte
Dennis falleció a los 61 años y Joseph Lyons, el Primer Ministro de Australia, lo definió como «el Robert Burns de Australia».

Publicaciones
Entre sus libros y cuadernos se cuentan:

 Backblock Ballads and Other Verses (1913)
 The Songs of a Sentimental Bloke (1915)
 The Moods of Ginger Mick (1916)
 The Glugs of Gosh (1917)
 Doreen (1917)
 Digger Smith (1918)
 Backblock Ballads and Later Verses (1918)
 Jim of the Hills (1919)
 A Book for Kids (1921) (reeditado como Roundabout, 1935)
 Rose of Spadgers (1924)
 The Singing Garden (1935)

Referencias

Enlaces externos
 Works by C J Dennis at Project Gutenberg of Australia
 Australian Authors - C. J. Dennis

Poetas de Australia


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Puerto Chacabuco Chile Cruise Port
Ships anchor in the bay of Chacabuco and passengers are tendered to shore. The transfer from ship to the pier takes about 15 minutes. The tender pier is near the town center.
The town is very small, most passengers wil head 10 miles north to Puerto Aysen or to the town of Coyhaique, 38 miles away.
Cruise calendar for this port.
Live Nautical Chart with Wikipedia Markers
Port Location on Google Maps
Monthly Climate Averages for Puerto Chacabuco Chile
Coyhaique and Puerto Aisen are one of the most beautiful areas in the country, because of their natural attractions and good weather conditions, special for plenty of outdoor activities. This patagonian area -with land, air and sea accesses- holds different cities, small towns, National Reserves, rivers and lakes with marvelous landscapes. The area has wild vegetation and native animals; its topography turns it in a pleasant place to practice different sports. In Simpson River you can practice fly fishing, kayak and canoeing, while sailing is mostly done in Elizalde Lake. Also, the National Parks are attractive places of the region. In Simpson River, Coyhaique and Castillo Hill National Reserves you can practice ecotourism, horseback ridings and walks while you enjoy the nature. 29 kilometers from Coyhaique, El Fraile Ski Resort has more than 500 millions square meters to practice winter sports. Coyhaique and Puerto Aisen are valleys that feature rural and agroturism; they combine tourism and commercial activities. Puerto Aisen, the district capital, is one of the most typical patagonian cities because of its location and cultural characteristics
Taxis are not metered. A round trip to Coyhaique should cost about 25 Euro.
There are very few shops in Puerto Chacabuco, but a much wider range is available in Aisén.
Credit Card acceptance is considerably reduced in small towns and communities, for which reason when visiting these it is recommended you take with you cash in local currency: the Chilean peso. 1 USD = 712 CLP. This will prevent any unpleasant surprises.
Spanish is Chile's official language
Chile has so-called cyber-cafes, stores offering Internet access. The cost of accessing the world info network varies from town to town. In Santiago, an hour online costs 4 dollars, while in Calama it costs 6 dollars, approximately. On the other hand, the main hotels and lodging places frequently offer Internet access to their guests, in many instances at no extra charge.
Ambulance service: 131 Fire Brigade: 132 Carabineros (Chilean police): 133 Drug Enforcement: 135 Andean Mountain Rescue Squad: 136 Sea Rescue: 137
Business and trade establishments in Chile are generally open to the public from Monday through Friday from 9 a.m. to 8 p.m., with a 60 minute lunch break at 1 p.m. Saturday timetable is 9 a.m. to 2 p.m. In malls, the timetable is Monday through Sunday from 10 a.m. to 9 p.m.
Holidays in Chile


text:
UCLA coach Mick Cronin fine-tunes his fashion game with Bruins-inspired wardrobe
UCLA men's basketball coach Mick Cronin shows off his penchant for style during Pac-12 media day.
(UCLA)
By Ben BolchStaff Writer
Mick Cronin arrived at UCLA with a blue collar. He just needed the suits, ties and shirts to match.
So like he does before every game, the Bruins' gritty new basketball coach devised an exhaustive game plan. He met with a haberdasher to assess his current look.
"Everything was black and gray and red, stuff that complements Cincinnati," said Chad Mihr, a senior executive clothier with David August, referencing Cronin's previous coaching stop. "He definitely needed our help."
Fifty thousand dollars later, the former Bearcats coach had a fresh wardrobe and one less worry on the eve of his first season with the Bruins. His ensemble included 17 dress shirts, 15 ties, seven suits, four sports coats and pants in addition to all the pocket squares, belts and dress shoes needed to accent each look.
Cronin won't receive the full collection until later this week but unveiled one of the outfits, including a dark blue suit with a subtle checkered pattern and matching light blue tie, this month in San Francisco at Pac-12 Conference media day.
"I better like them," Cronin cracked, "for what they cost."
David Singleton helping UCLA's basketball team avoid practice sprints
David Singleton brings an energy to UCLA basketball that's effective at helping the Bruins win — and in helping his teammates avoid mistakes in practice.
UCLA basketball coach Mick Cronin's clothing.
(Courtesy of David August Inc.)
Cronin was squeamish about divulging the five-figure outlay given that it's more than some people make in a year, but it's a necessary evil among college coaches who switch schools and color schemes. Cronin needed lots of blue and gold when he headed west last spring after 13 seasons at Cincinnati.
Remember those "Welcome to L.A. Coach Mick Cronin" billboards that sprung up around Southern California? They showed the coach in a blue tie, which was interesting considering he didn't own one. UCLA officials altered those images to make sure they were consistent with the school's colors.
Then there was the matter of figuring out what Cronin would wear to his introductory news conference inside Pauley Pavilion. Fortunately, Josh Rebholz, UCLA's senior associate athletic director for external relations, came prepared as he accompanied Cronin from Cincinnati to Los Angeles.
"On the plane, he threw me two ties," Cronin said of Rebholz. "I was like, 'Thank goodness.' "
Cronin picked a dark blue tie and paired it with a navy suit he had accidentally purchased during his final season at Cincinnati, thinking the sample swatch of fabric was black. Wearing anything blue around the Bearcats was considered taboo because it was the color of crosstown rival Xavier, so Cronin slipped it on when few would notice during a road game against Nevada Las Vegas.
UCLA coach Mick Cronin speaks to reporters during his introductory news conference on April 10.
(Jayne Kamin-Oncea / Getty Images)
Four months later, making his opening remarks in front of UCLA boosters and alumni, Cronin wore the same suit with confidence.
"It must have been an omen," Cronin said of buying the suit, "because it was not planned."
Cronin can thank a UCLA predecessor for his new look. Longtime friend Ben Howland, now the coach at Mississippi State after 10 seasons and three Final Fours with the Bruins, connected Cronin with Mihr, whose company also outfits Rams coach Sean McVay as well as running back Todd Gurley and wide receiver Robert Woods.
Mihr was thrilled that Cronin's taste in clothing veered wildly from Howland's.
"He likes his stuff really full to the point where it's hard for me to style it," Mihr said of Howland, "because I'm not used to making something so large."
Cronin attended a fitting at Mihr's Costa Mesa office this summer before speaking at a booster event in Orange County. Cronin's new threads spared him from having to wear that same navy blue suit or his one blue sports coat to any dressy event.
All Cronin needs to do before heading out now is consult the wardrobe book that Mihr provided. Every suit is numbered, one through seven, along with a description of the year-round, durable Loro Piana Italian fabrics and what shirt and tie might pair with each one.
UCLA coach Mick Cronin speaks during the Pac-12 media day in San Francisco on Oct. 8.
"It's kind of like Garanimals for adults," Mihr quipped.
Mihr found that Cronin shared his tastes, favoring modern patterns such as subtle plaids, beaded stripes and bird's eye, a design that resembles a woven basket. The coach also understood the importance of fit.
"A lot of coaches want super baggy and they want to be almost sloppy on the court because that's how they're comfortable," Mihr said, "but having something that fits you properly, you have better range of motion and it just looks a hell of a lot better."
Among Mihr's favorite items that he picked out for Cronin are a textured navy tie that can pair with almost everything. There's plenty of blue and gold in the ties but nothing reminiscent of a preppy look from the 1990s.
Mick Cronin will try to turn around underachieving UCLA basketball program
The first-year Bruins coach wants to change their work habits and culture after UCLA has missed the NCAA Tournament two of the past four seasons.
"It's not in your typical collegiate bold stripe going diagonally," Mihr said. "It's more sophisticated with tighter patterns or if it is a stripe, it's a finer stripe."
Not all of Cronin's new outfits are meant for work. Some shirts came with a hidden button-down collar that he can pair with dressy jeans and sneakers for dinner at a swanky restaurant.
It's also the sort of look that might impress Bruins guard Jules Bernard, a clothes fiend whose mother, Kristene, is a freelance makeup artist who works on television shows such as "Shark Tank."
"He's the trendier of the guys," Cronin said of Bernard, "so he's like, 'Coach, you've got to step your game up.' I told him, 'All right, man, I'm in Hollywood, I've got to step it up.' "
He's done just that, putting his best foot forward in rum antique Italian leather.
Ben Bolch
Ben Bolch has been a Los Angeles Times staff writer since 1999. He is serving his second stint as the UCLA beat writer, which seems fitting since he has covered almost every sports beat except hockey and horse racing. Bolch is also the author of the recently released book "100 Things UCLA Fans Should Know & Do Before They Die." He previously covered UCLA basketball from 2010-11 before going on to cover the NBA and the Clippers for five years. He happily traded in gobs of hotel points and airline miles to return to cover UCLA basketball and football in the summer of 2016. Bolch was once selected by NBA TV's "The Starters" as the "Worst of the Week" after questioning their celebrity journalism-style questions at an NBA All-Star game and considers it one of his finer moments.


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当前位置: 首页 > 世界 >资料 >人物 >《古墓丽影9》乔斯林·雷耶斯扮演者曝光(英文稿)
《古墓丽影9》乔斯林·雷耶斯扮演者曝光(英文稿)
发表时间:2014-2-5 来源:"ZZer"转载 作者:Dre 浏览次数:3911
原文网址:http://tombraiding.com/the-voice-of-reyes-interview/
The Voice of Reyes: Interview with Tanya Alexander
(Click to enlarge image)
Tomb Raiding recently got the chance to speak with Tanya Alexander about
stepping into the role of Joslin Reyes in the new Tomb Raider reboot!
Everything from Motion-Capture, to the creative direction of the game, Tanya gives us an insight look into the making of the new Tomb Raider!
Interested in revisiting Lara's adventure on Yamatai? You can pick up –
Tomb Raider: Definitive Edition,
available now for The Xbox One & PS4!
Can you tell us about Joslin Reyes, and who she is? Have you been in her boots long enough to understand her as a character?
Reyes is a police officer and single mother of a teenage daughter. Her boyfriend, Roth, and she were recruited to help Lara on her latest mission aboard the Endurance. I've never been in law enforcement or the military (my background is in performing arts – dance, acting, voice), but I was very attracted to the physicality of the character and her toughness. I understood that she loved strong, her man, her daughter and was not to be messed with. There was also a humor in her, which you saw briefly with her relationship with the 'Alex' character. Besides my voice and body, I felt I brought that bad-ass vibe to life that the character deserved. My work with the
director, Toby Gard, was all about showing her courage, yet emotion – particularly when Roth dies, as well as her drive to get back safe to her daughter. The relationship she has with Lara is love/hate. She respects her as another tough lady, but feels she puts them all in danger and maybe a bit careless. Later on, when survival is key, she begins to trust and forgive Lara for the death of her man. It's that mutual need to survive that brings them closer.
In what way was Toby Gard involved with the process of filming Tomb Raider?
Toby Gard was the director for all the scene-work between levels of play in the game. He also was in charge of casting and was the main person in the casting sessions that I attended. He was basically the go-to on set and worked very closely with all the actors. Noah Hughes was on set as well offering lots of ideas as the producer, but Toby was most certainly the hands on
director. They were both awesome to work with and were very cohesive in their ideas. It was
really an ideal environment for myself and the other actors, having the director and producer on one accord with the project.
How did you find inspiration to perform this role?
The biggest thing I did for this role was to study mothers. I know it sounds weird, but mothers are the toughest beings on the planet. The goal to get back to your child or protect those you care about is the strongest force in the world. And that's what I used for Reyes.
What do you think about Motion Capture technology, and the way Video Games are shot?
I love Motion Capture Technology! It's so cool to see yourself as a stick figure, then as a walking, full avatar. The first time I saw Reyes I was blown away. It was very surreal to see this computer generated person who walks and talks like you. I loved it. The mo-cap suits and head gear is
really…interesting. Ha! Having a camera mounted to your head 4 inches away from your nose while dressed in a skin-tight suit with glowing balls all over it while trying to run, dodge bullets and ACT is quite a challenge, but I was more than up for it! Tomb Raider was my first mo-cap project and I'm looking forward to doing a lot more.
What are your thoughts about the new Tomb Raider as a rebooted franchise?
I think it's great to have this new version of Tomb Raider for gamers and viewers. I don't play video games, but I have a friend who does and I've seen it, and it's so cool. I knew of the Tomb Raider games and films, but I didn't know I was auditioning for one. Video game production is very hush-hush. I got a call from my agent about some "multi-media project" and thought I was going in for a tv show or something. The first audition was just a read with the director, and I got a callback. During the callback I was asked to jump over things and wield a gun, and it got very physical. I found out only after I booked the gig and signed a non-disclosure agreement what I was really called in for. After I signed, I got the script by zip file and was like, "Whoa! This is Tomb Raider!" It was a fantastic surprise and I felt like I was about to be a part of something big. Every actor wants that.
Have they asked you to do another game? Will we see Reyes make an appearance in the next Tomb Raider sequel?
Well, I can't say if Reyes will be back, but I love the fact that she was one of only a few survivors. That is awesome. All I can say is,
I hope we'll be back!
Moving forward, where do you see Reyes going in the future?
I can't say what Crystal Dynamics has in store, but I'm sure it will be interesting! I'm hoping Reyes makes a return and remains a significant character for future games.
Connect with Tanya Alexander:
Twitter | Facebook
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