text:
Girls remain in control of NCC; Drop game to FC
by Marianne Gasaway
The Clear Lake girls remained in control in the North Central Conference with a win over Webster City Friday night, but 15th ranked Forest City knocked off the seventh ranked Lions, 62-46, Saturday. Clear Lake is 5-0 in the NCC and 6-2 overall. This week they host St. Edmond (0-6, 0-9) Friday and Algona (3-2, 4-6) Tuesday, Jan. 18.
CL 63, Webster City 24
The Lions were in control at Webster City from the start and cruised to a 63-24 victory.
"Pretty good for our first game back. It took us a quarter to get settled in, but we started to take what the defense was giving us and that was open three's from inside out passes," said Head Coach Bart Smith.
The Lions opened with a 12-7 first quarter lead which they built to 33-14 by the halfway point. They continued to score in double digits in the third and fourth quarters while holding the Lynx to just 10 second half points.
"We shot the ball really well from the perimeter, which is always nice," added Smith.
The Lions shot 50 percent from the field and had an effective field goal average of 59 percent.
"Finishing by the basket with contact seemed to be the biggest thing we noticed right out of the break that we need to concentrate on."
Jordan Ainley had a good night, draining three of seven three-point attempts and going 9/16 from the field for 21-points. Emily Theiss finished with 11 on 50 percent shooting, including three treys. Reese Brownlee couldn't miss and finished with seven points off the bench, including a three-pointer.
Also contributing greatly from the bench was Autumn VanHorn with six points and Annika Nelson with five. Starting center Xada Johnson had
To read more of this article, please login or sign up for our E-Edition


text:
CAH Events
Events in the College of Arts and Humanities
Expand Events List
10 a.m. "But Before Bone is Skin" curated by Jonell Logan
1 p.m. NEA Big Read: Central Florida Kick-Off
12:30 p.m. Le Café Francophone - French Conversation
3 p.m. Hidden in Plain Sight
6:30 p.m. Tertulia, an evening of music, poetry, books, and stories (in Spanish)
6 p.m. Keynote Address: Jonell Logan
1 p.m. Second Annual UCF Virtual Bassoon Workshop
7 p.m. Character Animation Virtual Open House
8 p.m. Animation & Visual Effects Virtual Open House
3 p.m. Me and My Shadow
2 p.m. BATE-PAPO: Portuguese Club Chat
6 p.m. Graphic Design Portfolio Info Session
6 p.m. "But Before Bone is Skin:" Artist Panel
10 a.m. "Afrofuturism — What is its Sound?" Conference - 2021 ZORA! Festival of the Arts and Humanities
1 p.m. Studio Art Portfolio Info Session
1:45 p.m. Interreligious Work in American Prisons, a discussion
4 p.m. Faculty Research Lecture: Technē Culture of the Gauchos & Caudillos in Nineteenth Century Argentina
4 p.m. RICHES presents An Oral History Workshop: Capturing the Living Past Through Personal Experiences
7:30 p.m. Songs of Inspiration: A Musical Concert
10:30 a.m. SVAD Virtual Info Session
7 p.m. Lecture: The Destruction of the Library of Alexandria
2 p.m. Songs of Inspiration: A Musical Concert

redpajama_set_name: RedPajamaCommonCrawl


text:
Home » FSIS releases comprehensive strategy to reduce Salmonella
FSIS releases comprehensive strategy to reduce Salmonella
KEYWORDS FSIS / Salmonella
The U.S. Department of Agriculture's (USDA) Food Safety and Inspection Service (FSIS) today released its Salmonella Action Plan that outlines the steps it will take to address the most pressing problem it faces--Salmonella in meat and poultry products. An estimated 1.3 million illnesses can be attributed to Salmonella every year.
"Far too many Americans are sickened by Salmonella every year. The aggressive and comprehensive steps detailed in the Salmonella Action Plan will protect consumers by making meat and poultry products safer." said Under Secretary for Food Safety Elisabeth Hagen.
The Salmonella Action Plan is the agency's strategy to best address the threat of Salmonella in meat and poultry products. The plan identifies modernizing the outdated poultry slaughter inspection system as a top priority. By focusing inspectors' duties solely on food safety, at least 5,000 illnesses can be prevented each year.
Enhancing Salmonella sampling and testing programs is also part of this comprehensive effort, ensuring that these programs factor in the latest scientific information available and account for emerging trends in foodborne illness. Inspectors will also be empowered with the tools necessary to expeditiously pinpoint problems. With more information about a plant's performance history and with better methods for assessing in-plant conditions, inspectors will be better positioned to detect Salmonella earlier, before it can cause an outbreak.
In addition, the plan outlines several actions FSIS will take to drive innovations that will lower Salmonella contamination rates, including establishing new performance standards; developing new strategies for inspection and throughout the full farm-to-table continuum; addressing all potential sources of Salmonella; and focusing the Agency's education and outreach tools on Salmonella.
These efforts will build upon the work that USDA has done over the past several years. In 2011, USDA strengthened the performance standards for Salmonella in poultry with a goal of significantly reducing illnesses by 20,000 per year. And through the Salmonella Initiative Program, plants are now using processing techniques designed to directly reduce Salmonella in raw meat and poultry. Thanks to these innovative technologies and tough policies, Salmonella rates in young chickens have dropped over 75 percent since 2006.
Learn more about the Salmonella Action Plan.
Source: FSIS
FSIS releases updated guide to help poultry processors reduce Salmonella, Campylobacter hazards
USDA launches new effort to reduce Salmonella illnesses linked to poultry
USDA finalizes new food safety measures to reduce Salmonella and Campylobacter in poultry
USDA releases roadmap to address Salmonella
Controlling Salmonella in Poultry Production and Processing
Frozen Meat (Meat) Market in the United States of America - Outlook to 2023...
A Systematic Approach to Humane Handling
HBC Holdings LLC (DBA) Sadex
Arm & Hammer Animal and Food Production


If you are studying in a college, you know how important it is for you to impress your teachers by writing high-quality essays on topics assigned by them. Your teachers judge your ability to think and argue in favor of a statement on the basis of the essays that you write. Writing essays is much harder than writing essays on general subjects but you cannot escape this responsibility being a student. You have to spend your evenings at home doing research on essay topics given as an assignment by your teachers. You are often irritated as this leaves no time to enjoy with your friends. Finally, there is a way to have high-quality essays to impress your teacher without having to work hard. Yes, you can have all the fun in the evenings with your friends and yet be able to hand over original, custom essays to your teacher. This means that you can buy cheap essay from any one of the several essay writing services operating on the internet these days.
The frustration of students, especially students is evident from the fact that write my essay has become one of the most common searches phrases on Google these days. Students are bombarded with essays on various topics by their teachers without thinking that students will be forced to spend all their time in evenings at home writing these essays. If you ask students one thing that irritates them the most, they would definitely name essay writing as it prevents them from going out and having fun in the outdoors with their friends. But today there is an easy way for students to complete their essay writing assignments without sweating it out at home. This is possible with the help of custom essay writer.
If you are a college student, you can make the most of the dozens of essay writing services by getting your essays written by experts in no time at all. Thousands of students are receiving invaluable help from these services as they get their custom essays delivered to the inbox of their emails. All that these students do is to post their orders on these websites and then just sit back and relax. Yes, in return for a small payment, experts write their college papers according to their requirement. These essay writing services have made students happy and relaxed as they know that they have nothing to worry about their essay assignments as long as they can pay for the price of custom essays. Prices start at $9 per page, making it ridiculously cheap for students to get custom essays that are well researched and original.
Just visit a few essay writing services and compare their features and services to decide upon the company that suits your requirements. All services claim to be the best in the business but you must do some research to find out a service that writes high-quality essays and hands them over to you in quick time to help with your essay assignments. You can check the quality of essays with samples present on the website. You can also read testimonials from actual users of the service to find if they are fully satisfied with the services offered to them or not. You get cheap custom paper writing service that is also efficient and quick if you are prepared to do some homework before joining the website as a member.
When the submission deadline is approaching and you haven't even started writing your essay, there is an easy way out. You can just get an essay online. The question is how you can be sure that it will be free from plagiarism and meet the high standards of your teacher. The following tips will help you with this.
There are plenty of websites offering essays for sale online, but they can be divided roughly into three groups, two of which you should avoid. The so-called automatic essay writers are simply online software programs which take content from different websites and usually rewrite it to make it look unique. However, it is simply plagiarized. You would not want to submit something like this to your teacher as you may end up with a serious academic punishment. It is best to stay away from such "simple solutions" even if they are available at practically no cost.
It may be tempting to get a high-quality essay which is readily available for sale. You save time and have good chances of securing your dream grade. However, you should remember that this piece of writing may have been sold to multiple students. This automatically makes it plagiarized and therefore extremely risky to use.
Your best bet is to focus entirely on custom writing services. With them, you hire a professional writer to do your homework for you. Usually, you will be able to pick the professional to work with and present a list of precise requirements for him to stick to. In fact, you can give the writer instructions to ensure that he will do a great job. After receiving the ready essay, you will have the chance to read it and run it through a plagiarism checker. After this, you can readily request changes to be made, if needed. The writer should be readily available to do the work. In the end, you will have an essay which is simply perfect and gives you the best chances of earning a high grade.
Now that you have a clear idea why a custom writing service is a top option, you can decide which one of the different providers available online will be right for you. What kind of professional writer should you hire? If you are looking for essays for sale UK, for example, you will benefit from hiring a local writer. He should have taken the same or a similar course to the one which your essay is for so check his educational qualifications.
Ask for an essay sample so that you can be confident about the professional's writing skills. The sample will tell you a lot about his grammar, spelling and punctuation and not only. You will get a clear idea of how good he is at research and analysis and at expressing himself. Remember to watch out for the use of terms which are specific to the academic discipline as teachers are particularly strict about them.
Check reviews of the writer's service to be absolutely certain that he is punctual when it comes to submitting the ready essays. The opinion of fellow students who have used his service is extremely valuable. Their reviews can give you other important details such as whether the writer is easy to communicate with, how quickly he responds to messages and how good he is at making modifications to the essay, when required.
You are now perfectly ready to buy essays on the web. Remember to focus on quality first and foremost while minding your budget, of course. When you are working with the right essay writer, you will certainly do well academically now and in the future.
© 2019 Custom Writing Service. All rights reserved.
Still you don't have to pay anything.
Ready to select one of the writers? Deposit funds into your EssayShark balance for writer to start on your order.


Famowood Wood Filler Gallon-Fir/Maple Water Based . FAMOWOOD dries in 15 minutes and is stronger than the wood it replaces, with no signs of shrinkage, cracking or crumbling. Once dry, it can be sanded, sawed, stained, nailed, painted or planed.
Properties and Colors: Birch, Cherry/Dark Mahogany, Fir/Maple, Golden Oak, Natural, Oak, Red Oak, Walnut, White, White Pine.


text:
%%
% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %
% % % % % % % % Advanced testing for debugging dsPlot2 % % % % %
% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %
%% Advanced testing for debugging - set up data

% Make sure data is loaded and path is ready
if ~exist('dsSimulate','file'); error('Use demos_dsPlot2.m script to set up simulation path.'); end
if ~exist('data','var'); error('Use demos_dsPlot2.m script to load data'); end

xp = ds2mdd(data);
xp_single = xp(1,1,1,'v');
xp_single_pops = xp(1,1,:,'v');
xp_single_vars = xp(1,1,1,:);
xp_row = xp(:,1,1,'v');
xp_col = xp(1,:,1,'v');
xp_col_pops = xp(2,:,:,'v');
xp_col_vars = xp(1,:,1,:);
xp_col_varspops = xp(1,:,:,:);
xp_mat_pops = xp(:,:,:,'v');
xp_mat_vars = xp(:,:,1,:);

data_single = dsMdd2ds(xp_single);
data_single_squeeze = dsMdd2ds(squeeze(xp_single));
data_single_pops = dsMdd2ds(xp_single_pops); data_single_pops=rmfield(data_single_pops,{'varied','I_E_tauD','E_Iapp'});  % This removes all the "vary" fields
data_single_vars = dsMdd2ds(xp_single_vars); data_single_vars=rmfield(data_single_vars,{'varied','I_E_tauD','E_Iapp'});  % This removes all the "vary" fields
data_row = dsMdd2ds(xp_row);
data_col = dsMdd2ds(xp_col);
data_col_pops = dsMdd2ds(xp_col_pops);
data_col_vars = dsMdd2ds(xp_col_vars);
data_col_varspops = dsMdd2ds(xp_col_varspops);
data_mat_pops = dsMdd2ds(xp_mat_pops);
data_mat_vars = dsMdd2ds(xp_mat_vars);
data_all = dsMdd2ds(xp);

vis = 'off';

%% Plot waveforms, comparing dsPlot and dsPlot2
close all; d = data_single; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); %dsPlot(d,'visible',vis);
close all; d = data_single_squeeze; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); %dsPlot(d,'visible',vis);
close all; d = data_single_pops; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_single_vars; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); %dsPlot(d,'visible',vis);
close all; d = data_row; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_col; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_col_pops; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_col_vars; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_col_varspops; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_mat_pops; dsPlot2(d,'do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'do_mean',1,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_mat_vars; dsPlot2(d,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'visible',vis); dsPlot(d,'visible',vis);
close all; d = data_all; dsPlot2(d,'do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'do_mean',1,'visible',vis); dsPlot(d,'visible',vis);

%% Plot rastergrams, comparing dsPlot and dsPlot2
close all; d = data_single_pops; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_single_vars; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_row; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_col; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_col_pops; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_col_vars; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_col_varspops; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
% close all; d = data_mat_pops; dsPlot2(d,'plot_type','rastergram','do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','do_mean',1,'visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
close all; d = data_mat_vars; dsPlot2(d,'plot_type','rastergram','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);
% close all; d = data_all; dsPlot2(d,'plot_type','rastergram','do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','rastergram','do_mean',1,'visible',vis); dsPlot(d,'plot_type','rastergram','visible',vis);

%% Plot FR2, comparing dsPlot and dsPlot2
close all; d = data_single_pops; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_single_vars; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_row; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_col; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_col_pops; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_col_vars; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_col_varspops; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
% close all; d = data_mat_pops; dsPlot2(d,'plot_type','heatmap_sortedFR','do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','do_mean',1,'visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
close all; d = data_mat_vars; dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);
% close all; d = data_all; dsPlot2(d,'plot_type','heatmap_sortedFR','do_mean',1,'visible',vis); d = dsMdd2ds(ds2mdd(d)); dsPlot2(d,'plot_type','heatmap_sortedFR','do_mean',1,'visible',vis); dsPlotFR2(d,'plot_type','heatmap_sorted','visible',vis);

keyboard

%% Advanced testing for debugging - set up data_img

xp_img = dsImg2MDD(data_img);

redpajama_set_name: RedPajamaGithub


Today is either a rest day, active recovery, or barbell skill work with optional conditioning.
A note about the gymnastic work we've been doing: Be patient. Just the way we don't care to do (Olympic) weightlifting with bad form, we're not going to care to learn muscle ups, handstands, or pull-up variations with piss poor technique. Focus on learning proper movement patterns, nailing the fundamentals, and everything will fall into place. Oh, and stop thinking of the muscle up as some holy grail. Building it up in your head will do you no favors.


Prof. Nissar Ahmed delivering the keynote address at the four-day conference titled 'Art, Body,Thought: Expressions'. The participants pictured here are: (from left to right) TV Madhu, Anita Thampi, Kalpetta Narayanan and Sashi Kumar.
Kochi: The Kochi-Muziris Biennale (KMB) has facilitated both a rise to primacy for art in Kerala and the consequent return of artists to the region, observed eminent artist and Biennale co-founder Riyas Komu at a conclave of scholars here.
Komu was responding to a question about the utility of art posed by renowned academician Prof. Nissar Ahmed during his keynote address at the opening of a four-day conference on Friday (Jan 13) titled 'Art, Body, Thought: Expressions'.
The conference – organised by the Kochi Biennale Foundation and supported by HCL and Kiran Nadar Musuem of Art – will run till Monday (Jan 16) at the Pavilion in Cabral Yard, Fort Kochi.
"To escape conservatism and the lack of patronage, there had been a tendency among Kerala artists to migrate in search of opportunity: from Raja Ravi Varma to KCS Panicker. The Biennale facilitated the emergence of a viable art space in the state," Komu said. "Traditional art works act as a cultural acupuncture in the contemporary world," he added.
Noted poet Latheesh Mohan had presented a paper on 'Regional as Language', where he discussed the relation between language and the physical make-up of a region. He observed that it was high time to discard the search for origin theories to language.
"Digging around a dark, blurred past only gives you more darkness. The monopoly of language should be broken, moving away from a situation where modulation of language signifies one's social positioning to a process where language is understood to be an evolving process that can accommodate every marginalised and ignored voice," Mohan said.
Renowned film critic Prof. C.S. Venkiteswaran contended that local cinema had become a response to globalisation. "Packaging the region in a beautified way for the global market has become a trend in regional film industry. A consumer state like Kerala, which is constantly exposed to and inspired by global trends, can never reflect the regional. Persisting with the local is how we can resist this trend," Prof. Venkiteswaran said.
In an earlier session, media veteran Sashi Kumar said the process of making art is being lost due to over interpretation. "Forms can be changed, especially art forms. The entire thrust of digitisation is to disembody – virtual reality instead of reality, hologram instead of human, part instead of whole. Video art is a manifestation of this phenomenon," he said.
The conference has already seen discussion by a number of eminent thinkers like poet Anita Thampi; writer Kalpetta Narayanan; scholar Prof. T.V. Madhu; Dileep Raj and Ranjini Krishnan.