Kansas City is the biggest city in the state of Missouri. In the year 2016, this city has an estimated population of 461,420. Kansas City is the most centrally positioned city in the Kansas City Metropolitan area. It was established as a Missouri river port in 1830s, and was officially incorporated in 1850. This Missouri metropolis sits on the western border of the state, and its downtown area is situated close to the meeting point of the Rivers Kansas and Missouri. This makes it the 23rd biggest city in terms of total area in the US. Most of it lies in Jackson County, and it is one of the 2 seats of the County.
This Missouri city is situated in the Midwest portion of the United States, and is noted for being very near to the geographical center of the nation. It mostly experiences a humid sub-tropical climate. However, it sometimes has a humid continental climate. The summer season here is hot and humid, and is characterized with moist air floating from the Gulf of Mexico. The warmest month in Kansas is July, while the coldest month is January. The winter season here tends to be cold, and 22 days in it register temperatures beneath 32 degrees F.
Generally speaking, the US federal government happens to the biggest employer in this region of Missouri. As such, more than 146 federal government organizations maintain a very strong presence here. It is also very important to note that Kansas City MO is one of 10 regional office cities for the federal government. The IRS has a big service complex in this city. This facility is one of the 2 in the entire nation, which process paper returns as well. At the moment, the IRS employs around 2,700 fulltime workers here. On the other hand, the General Services Administration employs over 800 workers in Kansas City. There is the Kansas City Plant too that is a regional nuclear security administration facility, which is run by Honeywell. Honeywell has employed almost 2,700 workers. At the same time, the social security administration employs over 1,200 workers in this Missouri metropolis. Over 1,200 of these employees work in the social security administration's downtown American Program Service Center facility. The United Postal Services runs many post offices in Kansas City as well.
When it comes to the private sector, the Ford Motor Company maintains a big manufacturing plant in Claymore, a suburb of this city. While General Motors has set up its Fairfax assembly facility here too. Also, Sanofi–Aventis, one of the biggest drug manufacturing facilities in the United States, is located in the southern end of Kansas City MO. Moreover, many agriculture firms have extensive business operations in this Missouri metropolis. One of the most notable of these is the Dairy Farmers of America.
The main trade exchange for hard red wheat in the country is the Kansas City Board of Trade as well.
In 1992, the residents of the state of Missouri approved a referendum on legalizing riverboat gambling on the Rivers Missouri along with Mississippi. After 2 years, the very first casino was inaugurated in the region. At the present moment, The Kansas City metropolis region has 6 casinos.
Kansas City is famous for its steak and barbeque dishes. Together with Texas, North Carolina, Memphis and South Carolina, it is universally considered as one of the globe's barbeque capitals. Presently, over 90 barbeque eateries are located in the Kansas City Metropolis area. Additionally, the world's biggest barbeque competition is held here on an annual basis by American Royal. Kansas City is home to a number of James Beard Award winners and nominees including both chefs as well as restaurants as well. Some of the chefs from this region of the state of Missouri who have won this coveted accolade are Michael Smith, Debbie Gold, Celina Tio together with Martin Heuser.
Like it was earlier said, Kansas City is one of the most notable cultured and progressive cities in the United States. This definitely means it teems with a wide variety of fascinating attractions to suit virtually any inclination. This varies from world class museums, performing arts venues, animal orphanages, aquariums to name but a few.
The Nelson-Atkins Museum of Art is a very popular hotspot in Kansas City. It is highly renowned for its award winning neo-classical architectural design. Not to mention its fascinating collection of Asian works of art. Among its impressive exhibitions, this Kansas City museum has European paintings, American paintings, native Amerindian works of art, Kansas City sculptures and an assortment of quality photographs. The Nelson-Atkins Museum of Art is also home to original art works by great masters including the likes of Caravaggio and Pissaro to name but a few. This Kansas City art museum hosts educational programs, art classes and even workshops all through the year, for both adults and kids.
This is yet another top attraction that has both locals and visitors alike, stumbling over each other to experience its awesomeness. The SEA LIFE Kansas City Aquarium is at the moment home to over 5,000 sea creatures that are lodged in numerous ocean habitats. These artificial sea habitats are highly acclaimed for being very diversified in nature. One of the most popular of which is the interactive 'TouchPool Experience.' In this particular habitat, guests get to touch crabs or even handle starfish.
Also, there is the underground tunnel, which offers magnificent wraparound views of life as it is underwater. This amazing aquarium regularly hosts fun and insightful talks along with workshops and even educational presentations too. One of the favorite highlights of a visit to the SEA LIFE Kansas City Aquarium for most guests is, of course, the feeding sessions. These are conducted multiple times during the facility's open hours. What makes this aquarium commendable is the fact it carries out a number of conservations programs. This includes seahorse breeding, the re-homing of lost or abandoned sea creatures and even seal rescue.
This is an exquisite and serene urban recreational garden, which is situated in downtown Kansas City. It comprises of open spaces, intimate enclaves and bronze sculptures. The enclaves are patterned after those that are prevalent in European public parks. While the sculptures are the work of Tom Corbin. This urban recreational park can be the best place to take some steam off in the midst of the city, and is very popular with both the locals and visitors. Tree Service Kansas City was recently recommended to evaluate an area of the garden.


Watch Nati dance performance at the Annual Function of the Himachal Mahasabha at Chandigarh.
Watch Dr. Satish Sharma, President Himachal Mahasabha, addressing the annual function in Chandigarh.
Theatre For Theatre, Chandigarh felicitates Rolling Frames Entertainment!
Watch Taylor Swift Wins Country Music Awards 2015 - ACM Awards 2015 - The 50th Annual ACM Awards 4-19-15 Video.
Watch the full video of Felicitation and awards ceremony at the annual function of the Himachal Mahasabha at Chandigarh.


text:
Wolf Joachim Singer (né le , Munich) est un neurophysiologiste allemand. Il a été directeur de l'Institut Max Planck pour la recherche sur le cerveau de 1981 à 2011.

Biographie

Enfance
Wolf Joachim Singer est né dans la ville de Munich un jour du mois de  où les bombardements alliés commencèrent à faire rage sur cette ville. Pour les années restantes de la guerre et jusqu'à l'âge de dix ans, il grandit dans le petit village de Solen situé dans le District de Haute-Bavière, proche de la ville de Wasserburg am Inn. C'est dans ce cadre idyllique qu'il passe son enfance. Comme il n'y avait pas d'écoles secondaires proches du village, il entre en internat à dix ans au sein du Landschulheim Neubeuern, fondé au début du  par la baronne von Wendelstadt et la Comtesse Degenfeld-Schonburg.

Études

Wolf Singer termine ses études secondaires en 1962. Le baccalauréat (Abitur en Allemagne) en poche, il suit des cours de physique et des séminaires de philosophie. Après divers tâtonnements, il est admis en 1962 à l'université Louis-et-Maximilien de Munich pour y entreprendre des études de médecine.

Publications

Articles
Voir la liste des articles scientifiques dans la section « Main publications » de cette page du site de l'Académie pontificale des sciences.

Ouvrages
  Ein neues Menschenbild?: Gespräche über Hirnforschung. Éd. Suhrkamp, 2003.
  Dynamic Coordination in the Brain: From Neurons to Mind. Éd. MIT Press, 2010.
  Der Beobachter im Gehirn: Essays zur Hirnforschung. Éd. Suhrkamp Verlag, 2013.
 Cerveau et méditation. Dialogue entre le bouddhisme et les neurosciences. Matthieu Ricard, Wolf Singer. Allary éditions, 2017.

Source
Pour la section Biographie :
  Wolf Singer (PDF) sur le site de la Society for Neuroscience

Notes et références

Voir aussi

Articles connexes
 Neurosciences
 Neurobiologie

Liens externes
  Wolf Singer (PDF) sur le site de la Society for Neuroscience
  Wolf Joachim Singer sur le site de l'Académie pontificale des sciences
  Singer Emeritus Group sur le site de l'Institut Max-Planck pour la recherche sur le cerveau

Naissance en mars 1943
Naissance à Munich
Neurophysiologiste
Membre de l'Académie allemande pour la langue et la littérature
Naissance dans le Troisième Reich

redpajama_set_name: RedPajamaWikipedia


The Migraine Centre - In Pain Now?
You are invited to phone up (8 a.m. to 8 p.m.) or get someone else to phone up for you when you actually have a migraine. Early intervention is important. If you have someone to drive you, I will try and see you when you have the pain. Tel 01626-779992. This includes Saturdays which can be the most common time for migraines. I cannot however guarantee to be available. Alternatively you can phone at a different time to discuss your migraines or make an initial appointment for an assessment. It is good to bring a friend or family member with you.


A beam of light has been teleported in Australia, which might seem a long way from Star Trek, but it's the first step to large scale teleportation.Though humans are a long way off (if ever) the applications of being able to teleport sub atomic particles and light are numerous, such as telecommunications and encryption.
Being a scientist, I view this with a lot of scepticism. Sounds not unlike cold water fusion... and the BBC article has few details on how they got a light beam to "jump."
Seems like just a larger scale application of how they teleported a photon(well, it's properties atleast) a few years ago.


text:
from emspy.query import *
from query import Query

import pandas as pd
import sys, json

class FltQuery(Query):

	def __init__(self, conn, ems_name, new_data = False):

		Query.__init__(self, conn, ems_name)
		self._init_assets(new_data)
		self.reset()

	def _init_assets(self, new_data):

		# Query._init_assets(self)
		self.__flight = Flight(self._conn, self._ems_id, new_data)

	def reset(self):
		'''
		Resets the API query to send. This should be called before creating a new query.
		'''

		self.__columns = []

		self.__queryset = {
			"select": [],
			"groupBy": [],
			"orderBy": [],
			"distinct": True,
			"format": "none"
		}

	def select(self, *args, **kwargs):
		'''
		Functionally equivalent to SQL's select statement

		Example
		-------
		Following is the example of select method to query three fields and one more with
		aggregation function applied. The values are appended until the whole query is
		reset.

		>> query.select("customer id", "takeoff valid", "takeoff airport iata code")
		>> query.select("p301: fuel burned by all engines during cruise", aggregate="avg")
		'''
		aggs = ['none', 'avg', 'count', 'max', 'min', 'stdev', 'sum', 'var']
		aggregate = kwargs.get('aggregate', 'none')
		if aggregate not in aggs:
			sys.exit("Wrong aggregation selected. Use one of %s." % aggs)
		fields = self.__flight.search_fields(*args)
		if type(fields)!=list: fields = [fields]

		for field in fields:
			d = {}
			d['fieldId'] = field[1]['id']
			d['aggregate'] = aggregate
			self.__queryset['select'].append(d)
			self.__columns.append(field)

	def group_by(self, *args):
		'''Functionally equivalent to SQL's groupby'''
		for field in self.__flight.search_fields(*args):
			self.__queryset['groupBy'].append({'fieldId': field[1]['id']})

	def order_by(self, field, order='asc'):
		'''Functional equivalent of SQL's order by'''
		if order not in ['asc', 'desc']:
			sys.exit("Ordering option must be one of %s." % ['asc', 'desc'])
		self.__queryset['orderBy'].append({
			'fieldId': self.__flight.search_fields(field)[1]['id'],
			'order': order,
			'aggregate': 'none'})

	def filter(self, expr):
		'''
		Translate the give filtering conditions to json queries.
		'''
		if not self.__queryset.has_key('filter'):
			self.__queryset['filter'] = {
				'operator': 'and',
				'args': []
			}
		expr_vec = self.__split_expr(expr)
		jsonobj  = self.__translate_expr(expr_vec)
		self.__queryset['filter']['args'].append(jsonobj)

	def __split_expr(self, expr):

		import re

		for pattern in ['[=!<>]=?'] + sp_ops.keys():
			a = re.search(pattern, expr)
			if a is not None:
				break

		if a is None:
			sys.exit("Cannot find any valid conditional operator from the given string expression.")
		splitted = expr.partition(a.group())
		return splitted

	def __translate_expr(self, expr_vec):

		fld_loc = [False, False]
		fld_info = None
		fld_type = None
		val_info = None
		op = expr_vec[1]

		for i, s in enumerate([expr_vec[0], expr_vec[2]]):
			x = eval(s)

			if i == 0:
				fld = self.__flight.search_fields(x)
				if fld is not None:
					fld_info = [{'type':'field', 'value': fld[1]['id']}]
					fld_type = fld[1]['type']
					fld_loc[i] = True
				else:
					raise ValueError("No field was found with the keyword %s. Please double-check if it is a right keyword." % x)
			else:
				if type(x) != list:
					x = [x]
				val_info = [{'type':'constant','value':v} for v in x]

		if fld_loc[1]:
			if '<' in expr_vec[1]:
				op = expr_vec[1].replace('<','>')
			else:
				op = expr_vec[1].replace('>','<')

		arg_list = fld_info + val_info

		if fld_type=="boolean":
			fltr = _boolean_filter(op, arg_list)
		elif fld_type=="discrete":
			fltr = _discrete_filter(op, arg_list, self.__flight)
		elif fld_type=="number":
			fltr = _number_filter(op, arg_list)
		elif fld_type=="string":
			fltr = _string_filter(op, arg_list)
		elif fld_type=="dateTime":
			fltr = _datetime_filter(op, arg_list)
		else:
			raise ValueError("%s has an unknown field data type %s." % (fld[0], fld_type))
		return fltr

	def distinct(self, x=True):

		self.__queryset['distinct'] = x

	def get_top(self, n):

		self.__queryset['top'] = n

	# def readable_output(self, x=False):

	# 	if x:
	# 		y = "display"
	# 	else:
	# 		y = "none"
	# 	self.__queryset['format'] = y

	def in_json(self):

		return json.dumps(self.__queryset)

	def in_dict(self):

		return self.__queryset

	def simple_run(self, output = "dataframe"):
		'''
		Sends query to EMS API via the regular query call. The regular query call has a size limit
		in the returned data, which is 25000 rows max. Any output that has greater than 25000 rows
		will be truncated. For the query that is expected to return with large data. Please use the
		async_run method.

		Input
		-----
		output: desired output data format. Either "raw" or "dataframe".

		Output
		------
		Returned data for query in Pandas' DataFrame format
		'''
		print('Sending a simple query to EMS ...')
		resp_h, content = self._conn.request(
			rtype="POST",
			uri_keys=('database','query'),
			uri_args=(self._ems_id, self.__flight.get_database()['id']),
			jsondata= self.__queryset
			)
		print('Done.')

		if output == "raw":
			return content
		elif output == "dataframe":
			return self.__to_dataframe(content)
		else:
			raise ValueError("Requested an unknown output type.")

	def async_run(self, n_row = 25000):
		'''
		Sends query to EMS API via async-query call. The async-query does not process
		the query as a single batch for a query expecting a large data. You will have
		to call it multiple times. This function do this multiple calls for you.

		Input
		-----
		n_row: batch size of a single async call. Default is 25000.

		Output
		------
		Returned data for query in Pandas' DataFrame format
		'''

		print 'Sending and opening an async-query to EMS ...',
		resp_h, content = self._conn.request(
			rtype = "POST",
			uri_keys = ('database', 'open_asyncq'),
			uri_args = (self._ems_id, self.__flight.get_database()['id']),
			jsondata = self.__queryset
			)
		if not content.has_key('id'):
			sys.exit("Opening Async query did not return the query Id.")
		query_id = content['id']
		query_header = content['header']
		print 'Done.'

		ctr = 0
		df = None
		while True:
			print " === Async call: %d ===" % (ctr+1)
			try:
				resp_h, content = self._conn.request(
					rtype= "GET",
					uri_keys = ('database', 'get_asyncq'),
					uri_args = (self._ems_id,
								self.__flight.get_database()['id'],
								query_id,
								n_row*ctr,
								n_row*(ctr+1)-1)
					)
				content['header'] = query_header
				dff = self.__to_dataframe(content)
			except:
				print "Something's wrong. Returning what has been sent so far."
				from pprint import pprint
				pprint(resp_h)
				pprint(content)
				return df

			if ctr == 0:
				df = dff
			else:
				df = df.append(dff, ignore_index = True)

			print "Received up to %d rows." % df.shape[0]
			if dff.shape[0] < n_row:
				break
			ctr += 1

		print "Done."
		return df

	def run(self, n_row = 25000):
		'''
		Sends query to EMS API. It uses either regular or async query call depending on
		the expected size of output data. It supports only Pandas DataFrame as the output
		format.

		Input
		-----
		n_row: batch size of a single async call. Default is 25000.

		Output
		------
		Returned data for query in Pandas' DataFrame format
		'''
		Nout = None
		if self.__queryset.has_key('top'):
			Nout = self.__queryset['top']

		if (Nout is not None) and (Nout <= 25000):
			return self.simple_run(output= "dataframe")

		return self.async_run(n_row = n_row)

	def __to_dataframe(self, json_output):
		'''
		Changes Dict (JSON) formatted raw output from the EMS API to Pandas'
		DataFrame.
		'''

		print("Raw JSON output to Pandas dataframe...")
		col      = [h['name'] for h in json_output['header']]
		coltypes = [c[1]['type'] for c in self.__columns]
		col_id   = [c[1]['id'] for c in self.__columns]
		val      = json_output['rows']

		df = pd.DataFrame(data = val, columns = col)

		if self.__queryset['format'] == "display":
			print("Done.")
			return df

		# Do the dirty work of casting a right type for each column of the data
		# Note
		# ====
		# Runway IDs are discrete data but their key-value mapping is not provided
		# because the mapping itself is quite big in size (45K entries). That means
		# the regular routines to handle the discrete data won't work. As a result
		# the discrete data routine has a dirty, custom routine particularly for
		# the runway IDs. What it basically does is to send a separate but redundant
		# query for runway IDs with "queryset$format = display", and then push the
		# this query result at the runway ID column of the original query result.
		# I know this is crappy but it seems the best way I could find.
		for cid, cname, ctype in zip(col_id, col, coltypes):
			try:
				if ctype=='number':
					df[cname] = pd.to_numeric(df[cname])
				elif ctype=='discrete':
					k_map = self.__flight.list_allvalues(field_id = cid, in_dict = True)
					if len(k_map) == 0:
						df[cname] = self.__get_rwy_id(cname)
					else:
						df[cname] = df[cname].astype(str)
						df = df.replace({cname: k_map})
				elif ctype=='boolean':
					df[cname] = df[cname].astype(bool)
				elif ctype=='dateTime':
					df[cname] = pd.to_datetime(df[cname])
			except ValueError:
				pass
		print("Done.")
		return df

	def __get_rwy_id(self, cname):
		'''
		Deprecated
		'''

		print("\n --Running a special routine for querying runway IDs. This will make the querying twice longer.")
		qs = self.__queryset
		qs['format'] = "display"

		resp_h, content = self._conn.request(
			rtype="POST",
			uri_keys=('database','query'),
			uri_args=(self._ems_id, self.__flight.get_database()['id']),
			jsondata= qs
			)
		return self.__to_dataframe(content)[cname]

	def update_datatree(self, *args):
		self.__flight.update_tree(*args)

	def save_datatree(self, file_name = None):
		self.__flight.save_tree(file_name)

	def load_datatree(self, file_name = None):
		self.__flight.load_tree(file_name)

## Experimental...

basic_ops = {
	'==': 'equal', '!=': 'notEqual', '<': 'lessThan',
	'<=': 'lessThanOrEqual', '>': 'greaterThan',
	'>=': 'greaterThanOrEqual'
}
sp_ops = {
	' in ': 'in',
	' not in ': 'notIn'
}
# '=Null': 'isNull', '!=Null': 'isNotNull', 'and': 'And', 'or': 'Or', 'in': 'in', 'not in': 'notIn'

def _filter_fmt1(op, *args):
	fltr = {
		"type": "filter",
		"value": {
			"operator": op,
			"args": []
		}
	}
	for x in args:
		fltr['value']['args'].append({'type': x['type'], 'value': x['value']})

	return fltr

def _boolean_filter(op, d):

	fld_info = d[0]
	val_info = d[1]
	if type(val_info['value'])!=bool: raise ValueError("%s: use a boolean value." % val_info['value'])
	if op == "==":
		t_op = 'is'+str(val_info['value'])
	elif op == "!=":
		t_op = 'is'+str(not val_info['value'])
	else:
		raise ValueError("Conditional operator %s is given. Booleans shoule be only with boolean operators." % op)

	fltr = _filter_fmt1(t_op, fld_info)
	return fltr

def _discrete_filter(op, d, flt):
	fld_info = d[0]

	if op in basic_ops.keys():
		# Single input basic coniditonal operation
		t_op = basic_ops[op]
		val_info = d[1]
		vid  = flt.get_value_id(val_info['value'], field_id = fld_info['value'])
		val_info['value'] = vid
		fltr = _filter_fmt1(t_op, fld_info, val_info)

	elif op in [" in ", " not in "]:
		t_op = sp_ops[op]
		val_list = [{'type':x['type'], 'value':flt.get_value_id(x['value'], field_id=fld_info['value'])}\
					 for x in d[1:]]
		inp = [fld_info] + val_list
		fltr = _filter_fmt1(t_op, *inp)
	else:
		raise ValueError("%s: Unsupported conditional operator for discrete field type." % op)
	return fltr

def _number_filter(op, d):

	if basic_ops.has_key(op):
		t_op = basic_ops[op]
		fltr = _filter_fmt1(t_op, d[0], d[1])
	else:
		raise ValueError("%s: Unsupported conditional operator for number field type." % op)
	return fltr

def _string_filter(op, d):

	if op in ["==", "!="]:
		t_op = basic_ops[op]
		fltr = _filter_fmt1(t_op, d[0], d[1])

	elif op in [" in ", " not in "]:
		t_op = sp_ops[op]
		fltr = _filter_fmt1(t_op, *d)

	else:
		raise ValueError("%s: Unsupported conditional operator for string field type." % op)
	return fltr

def _datetime_filter(op, d):

	from datetime import datetime

	date_ops = {
		"<": "dateTimeBefore",
		">=": "dateTimeOnAfter"
	}

	if op in date_ops.keys():
		t_op = date_ops[op]
		fltr = _filter_fmt1(t_op, d[0], d[1])
		# Additional json attribute to specify this is UTC time
		fltr['value']['args'].append({'type':'constant', 'value': 'Utc'})
	else:
		raise ValueError("%s: Unsupported conditional operator for datetime field type." % op)
	return fltr

redpajama_set_name: RedPajamaGithub


To separate solids from process and drainage water has always been a serious problem often difficult to solve in many industrial sectors and waste water treatment plants.
IDRASCREEN™ represents the range of high capacity self-cleaning screen filters for the wastewaters pre-treatment. It is properly equipped with an inner washing system with low/medium pressure to do the periodical cleaning to avoid clogging phenomena, reducing cleaning maintenance and high costs.
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The solids are retained on the outside screen surface and removed by the doctor blade. The screen effluent passes again through the cylinder, carries on an efficacious backwashing of the screen openings. Thanks to this, the portion of the screen cylinder screen to be fed is always perfectly clean. Moreover, the backwash avoids the mucilage formations inside the cylindrical screen.
IDRASCREEN™ is properly equipped with an inner washing system with low/medium pressure to do the periodical cleaning.


text:
Three Lessons From America's Legacy Cities
By NLC Staff	in Civic Engagement, Community, Economic Development, General, Love My City	on May 24, 2019 May 24, 2019
In the previous century, America's legacy cities experienced massive population growth, becoming centers of innovation known around the world. This status was then followed by rapid population decline, as a result of a shifting global economy. But even as many American communities struggled to adjust to the changing economic winds, many remain and have become centers of innovation and growth.
Perhaps no city has exemplified this better than the city of Pittsburgh. Last week, the National League of Cities (NLC) brought local leaders, including Pittsburgh Mayor Bill Peduto, from America's legacy cities and thought partners from the private and foundation sectors together to share stories of success and work through common challenges.
As Peduto shared in a presentation to the group, Pittsburgh has established a bold vision for the city, building on recent success and a wealth of community assets, while directly confronting the complex challenges that we all continue to face. But Pittsburgh isn't the only community with a comeback story to share. These three core lessons we learned over our few days together in Denver can be applied to all American communities.
Commit Time, Treasure and Talent to People and Places
For legacy cities to thrive, says Lansing, Michigan Mayor Andy Schor, the philanthropic and private sectors need to commit time, treasure and talent. On time and talent: local industries can support by donating their expertise and the time it takes to complete a project. Treasure is funding. Resources and investment are crucial to realizing your community's vision, but for places with limited budget, they can be hard to come by. Treasure can come from local businesses who see a future in your community.
Legacy cities are full of residents who have lived, worked and raised families as their community rose and fell. Their collective insight reveals an honest appraisal of the policies and practices that worked and ones that did more harm than good. When starting tough civic dialogues, such as tackling infant mortality or planning new economic development, start with residents and their stories.
Find Your Space Among Global Competition
During the massive economic growth of the last century, especially post World War II, many legacy cities prioritized building around just one industry. In today's global economy, that strategy has proven defunct. Instead, to compete in global and regional markets, legacy cities must become nimble.
Hartford, Connecticut is doing exactly that. The city is working to build an innovation ecosystem that is globally competitive as an insurance and manufacturing hub. Hartford took steps to realize this vision by gathering its legacy insurance companies to pool resources into a venture capital fund. This money will be used to bring in and learn from global competitors in the industry.
The city has also created a start-up seed fund to help manufacturers advance 21stcentury production. Lastly, Hartford is working to create a strong medical technology pipeline with neighboring universities like Yale, where students solving complex problems can test their products on a smaller market—while building a family and a future in Hartford. Scale and stay are Hartford's model.
You are a Member of Your Community
While leading the people of a legacy city, it is important for an elected official to show true vision and commitment. It is one thing to be a leader in name only, but communities are looking for a leader to be bold, try new things and embody the spirit of what legacy cities need.
Mayor Schor was the first mayor in 30 years to place his children into the Lansing Public School system. By doing so, the mayor showed his residents that he believed in his community. In addition, the city of Lansing was one of the first in the nation to pilot community policing, which can be a complicated and controversial policy. Public education and community policing can both be challenging issues to tackle, and Mayor Schor's dedication to and involvement in his community helped ease transitions and build support for his policies.
Councilmember John Kinnaird from Waco, Texas added that a shift in mentality has helped his Council feel more empowered. Elected officials, he said, went from saying "there is nothing we can do" to "let's see what we can do".
Our communities have always been a place to reimagine, reinvent and inspire for the next generation. Just ask the current legacy residents: they are ready to do whatever it takes to solve their communities' problems.
The National League of Cities will host another legacy cities convening this fall in Gary, Indiana.
About the Author: Kyle Funk is the research assistant, urban innovation, at the National League of Cities.
Tags: economic development, economic growth, LoveMyCity, Pittsburgh
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This statistic highlights the percentage of consumers becoming concern about farm animal welfare as of 2017. Survey participants were asked indicate the extent to which you agree or disagree with the statements: "I am more concerned than I was a few years ago about the treatment of animals raised for food". Some 26 percent of consumers responded to be very concerned about animal welfare in the United States lately. Only 14 percent of survey respondents stated to be not more concerned.
* The original question ran as follows: "Please indicate the extent to which you agree or disagree with the statements: I am more concerned than I was a few years ago about the treatment of animals raised for food".


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Healing Prayer in the chapel on Sundays after taking communion.
Every Sunday, at the 10:30 service, a prayer team is stationed in the chapel for anyone who wants prayer after receiving communion.
On the third Sunday of each month prayer teams are stationed around the sanctuary for those who want to go up for prayer after the sermon.
Healing prayer by our pastor, in our home groups and spontaneous moments.
Every Sunday, after the 10:30 service, from 1 to 2 PM, a prayer team sets up a table on the sidewalk next to a market in downtown Goleta with a sign inviting people to stop for prayer.
The Healing Prayer Hotline is a service for all people who desire prayer for a specific need in their life. This is an anonymous, no strings attached opportunity, to receive prayer at any time of the day or night.
Prayer teams are available to go, upon request, to prayer for non-church members.


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Theatre, Ecology and Fun
Small World Theatre
Lady August- Small World Theatre , Llanerchaeron , July 21, 2014
Lady Augusta is an Edwardian lady of means, with the leisure to pursue her scientific curiosity and interest in nature. Bound by the dress code of her era she is obliged to wear a long skirt and tight bodice, even on a hot and sultry Saturday in July. She is visiting Llanerchaeron with a trio of fellow enthusiasts. One is in waistcoat and bowler hat and summons an audience in Llanerchaeron's courtyard. Lady Augusta comes with a natural advantage in attracting followers for her wood and meadow explorings. In the hands of Bill Hamblett she is ten feet tall- although "In the hands of" might be better be read as "on the shoulders of."
Theatre in Wales has put on a season of sparkle this year for young audiences. Lady Augusta makes her appearance after tours of "Gwyn" and "Madog." The three shows along with Agor Drysau are timely because a report of some weight has just been published.
"Critical Mass: Theatre Spectatorship and Value Attribution" is written by a seven-member group of theatre veterans. It is in truth a daunting one hundred and twenty-five pages, but its methodology is rock solid and it has the endorsement of heavyweight partners in the form of the Royal Shakespeare Company, the Young Vic and Plymouth's Theatre Royal. It is not for the casual reader but the graphic on page twenty-six deserves the widest circulation. It addresses and ranks the nine elements that an audience values.
One finding is that memories and images of theatre permeate a lifetime. That is unsurprising but it is revealing that sixty percent of the sample of respondents has experienced theatre before the age of ten and many have performed at school themselves. In a useful summary one of the authors David Edgar writes "the later you start, the less likely you are to place theatre at the centre of your life." Edgar's report from England is dispiriting. Primary school participation in arts activities is down by a third in four years. One aspect he does not mention is Ofsted and an attitude of indifference; if it cannot be measured it's dead stuff.
Back in Llanerchaeron Lady Augusta and her entourage end their explorations, one of three this day, in the long grasses of the meadow adjacent to the House. Big nets are handed out in search of interesting fauna- any to be caught will be swiftly released. The National Trust which is host has undergone a refreshing jolt under its Dolgellau resident of a Chair. These outings of Lady Augusta are part of a cross-Britain initiative by the charity Plantlife "Save Our Magnificent Meadows", whose ten partners include the National Trust in Wales.
But ecological purpose is not a motive force for theatre, although it well may be an incidental result. Its intention is delight and that is what is on show. Lady Augusta herself was to be seen last weekend in that most wonderful of locations, Sydenham's Horniman Museum. She is now back in her residence above the River Mwldan. Enquiries as to her future explorations should be made to that remarkable Cardigan building that is the home of Small World Theatre.
There are 5 other reviews of productions with this title in our database:
Small World Theatre- reviewed by Adam Somerset (22 October 2019)
Small World Theatre- reviewed by Adam Somerset (21 July 2018)
Small World Theatre- reviewed by Adam Somerset (12 April 2016)
Small World Theatre- reviewed by Adam Somerset (06 June 2014)
Small World Theatre- reviewed by Adam Somerset (20 August 2013)


An academic in Australia — half of the country's "Muslim power couple" — has decided to confuse the Islamophobes who troll her on social media, by donating $1 to children's charity UNICEF each time they insult her. Dr. Susan Carland, a former Muslim Australian of the Year who's married to media personality Waheed Aly, has raised more than $1,000 since making the pledge just over two weeks ago.
Carland, who teaches gender studies, politics, and sociology at Melbourne's Monash University, has used a variety of platforms, including Twitter and Facebook, to share her views on religion, immigration and society. To date, her response to trolls has generally been to mute them. "Sometimes I engage them — I write back 'someone needs a hug,'" she said.


You take your girlfriend to a concert...it may be her all-time favorite artist...and you end up getting stabbed in the face after defending her honor. But wait.... It gets really good here.... Your girlfriend is the one who stabs you! If only Dr. JoHo had been there to help.


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Trump withdraws W.H. invite to NBA's Steph Curry in tweetstorm, Twitter erupts
Steph Curry, Donald Trump, via Twitter
After NBA star Steph Curry announced that he would not attend his team's visit to the White House, Donald Trump lost it on social media.
by Robert Sobel (article) and Milos Kitanovic (video)
September 23, 2017 at 9:20 AM September 23, 2017 at 9:20 AM
It's become tradition for a professional sports team who wins that year's championship to visit the White House. After Golden State Warriors star Steph Curry of the NBA refused to accept the invitation to attend due to his opposition of Donald Trump, the president made sure to lash out.
Trump on Curry
The election of Donald Trump has taken the world by storm, as the president has been surrounded by controversy since the early days of his campaign. Back when the former host of "The Apprentice" announced he was running for president, he quickly made headlines when he referred to illegal immigrants as "rapists" and "murderers." In the two years that have followed, the American people have been split on the billionaire real estate mogul, with many supporters sticking by him, while opponents have not been shy about sounding off.
One area that has plagued Trump has been over issues dealing with race, as many critics in the mainstream media and the political left have accused him of "bigotry" and "racism," which was evident following his controversial remarks after the white supremacy rally in Virginia over the summer. Due to the controversy, NBA star Steph Curry announced that he would not attend the ceremony for the Golden State Warriors at the White House, leading to Trump lashing out during a September 23 tweet.
Going to the White House is considered a great honor for a championship team.Stephen Curry is hesitating,therefore invitation is withdrawn!
Taking to Twitter on Saturday morning, Donald Trump was not happy with Steph Curry's recent opposition, and decided to withdraw the invitation for him to attend the White House to celebrate with his team.
"Going to the White House is considered a great honor for a championship team," Trump tweeted, before adding, "Stephen Curry is hesitating, therefore invitation is withdrawn!"
Steph Curry says he'll vote against Warriors visiting the White House https://t.co/RK8Tyho8ls pic.twitter.com/ZpP7qhTTfo
— Bleacher Report (@BleacherReport) September 22, 2017
Donald Trump's tweet stems from an interview with Steph Curry that occurred on Friday when the former NBA MVP was asked if he would be going to the White House to celebrate.
"I don't want to go," Curry said. "We don't stand for basically what our president has...the things that he said and the things that he hasn't said in the right terms, that we won't stand for it," he continued.
Within minutes of Donald Trump's Twitter attack on Steph Curry, critics of the president responded on social media. "It's called having the freedom of making your own choices," one tweet read.
Why would he want to meet a white supremacist who temporarily occupies the White House after being installed by another country's autocrat?
— StevenBoyer (@SteveBoyer5000) September 23, 2017
It's not an honor to go to the White House to greet a White Supremacist. It's actually a huge dishonor.
— Eugene Gu, MD (@eugenegu) September 23, 2017
Oh trump always outdoes himself in ugly
— Pamela Patriot (@PamelaPatriot) September 23, 2017
"Who would want to come to the White House to meet with a White Supremacist, especially when you are a black male?" another Twitter user wondered. "It's not an honor to go to the White House to greet a White Supremacist. It's actually a huge dishonor," an additional tweet added.
The White House used to be a place of honor and respect -- a place athletes went to be honored. Now it's a dumpster fire run by a goon!
— Ed Krassenstein (@EdKrassen) September 23, 2017
"What a petty, little man you are.
No one wants to meet you. Just resign," yet another social media user pointed out. As the negative reaction continued, it showed that Donald Trump's critics would not be holding back their thoughts, regardless of the issue at hand.
Follow the page Donald Trump
Follow the page Golden State Warriors
Robert Sobel
As an avid political junkie and full-time writer, Robert Sobel worked for Examiner.com for 5 years. During that time, Robert received over 15 million pages views, reaching people from all over the world.
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Read more on the same topic from Robert Sobel:
Robert De Niro drops F-bomb on Trump at Tony Awards, receives instant praise on Twitter Alec Baldwin mocks Trump, Giuliani 2020 presidential run on Twitter, gets instant praise Trump insults Jeff Flake's poll numbers and Dems on Twitter, faces immediate backlash
Blasting News recommends Arrington: Brady is a 'different animal' in the playoffs, Bucs will be too much for Saints Brady boosts Buccaneers local TV ratings; Boston viewers still watch TB12's games Tom Brady has late 'parting gift' to Patriots to help recoup lost 2021 Draft pick Saints' Malcolm Jenkins: Tom Brady 'the greatest to ever do it' when kept in the pocket Yuzuru Hanyu breaks his own world record Prince Harry gets ready for the 'Invictus Games' '90 Day Fiance: The Other Way': Kenneth says his relationship is not acted Video '90 Day Fiance: The Other Way:' Sumit is facing backlash for choosing Jenny Video


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Red Sox vs. Rays lineup: The moving days are upon us
It'd David Price vs. Charlie Morton, again, but this time in Boston.
By Bryan Joiner@bryanjoiner Jul 30, 2019, 5:01pm EDT
Share All sharing options for: Red Sox vs. Rays lineup: The moving days are upon us
I don't have to like him to want him to do well, and I certainly want him to do well.
Photo by Kathryn Riley/Getty Images
The Red Sox (59-48) and Rays (60-48) begin a series tonight at Fenway Park (7:10 p.m., NESN) in a pitching rematch of a game Boston lost last week and would like to win tonight. That's analysis, baby! It's (again) David Price versus Charlie Morton in a battle of players who have the back-end-career largely expected of the other. Price is good, but Morton is better, but obviously that doesn't matter if one of them slept on their arm last night or something. They are still playing the game, is all.
In other news, J think I'm going back to putting the lineups at the bottom of the post, just to conform. In other news you might care about, in all seriousness, the Sox are 9 games back of the Yankees, the Rays 8.5 back. The dog days of summer baseball's version of the intolerably cited but amusing named "moving day" at the Masters, and the Sox have heated up along with the mercury, taking three of four against the Yanks. The only problem is they're not alone in fighting uphill, but given the plaudits the Rays have earned this year — contrasted with the tongue-lashing I, among others, have given the Sox — it's a miracle Boston's this close, and if they/we are ever gonna do the thing where they/we come back on the Yankees in August and September, well, this would be a great year to try, and tonight would be a great night to start.
Game 108 vs. Rays
Lineup spot
1 Matt Duffy, 3B Mookie Betts, RF
2 Travis D'Arnaud, 1B Rafael Devers, 3B
3 Austin Meadows, DH Xander Bogaerts, SS
4 Tommy Pham, LF J.D. Martinez, DH
5 Avisail García, RF Andrew Benintendi, LF
6 Michael Brosseau, 2B Mitch Moreland, 1B
7 Willy Adames, SS Christian Vázquez, C
8 Guillermo Heredia, CF Brock Holt, 2B
9 Mike Zunino, C Jackie Bradley Jr., CF
SP Charlie Morton, RHP David Price, LHP


Here is the list of 110 high-frequency words for first grade. I can't figure out how to put this into columns, so in order to avoid a super long list, I'll break this up into three posts.
thanks for the list this is great to know!


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