Academic literature on the topic 'Recipe Search Engine'
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Journal articles on the topic "Recipe Search Engine"
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Davis, Sutton A., Linda L. Knol, Kristi M. Crowe-White, Lori W. Turner, and Erin McKinley. "Homemade infant formula recipes may contain harmful ingredients: a quantitative content analysis of blogs." Public Health Nutrition 23, no. 8 (March 11, 2020): 1334–39. http://dx.doi.org/10.1017/s136898001900421x.
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AbstractObjective:When breast-feeding is not possible, commercially made human milk substitute is recommended. Some consumers would prefer to make their own homemade infant formula (HIF) and may seek information on this practice from internet sources. The purpose of the current study was to investigate the content of blogs posting HIF recipes.Design:Blog postings were identified through a comprehensive search conducted using the Google search engine and the following search terms along with the term ‘blog’: ‘Make Your Own Baby Formula’, ‘Homemade Baby Formula’, ‘Do It Yourself (DIY) Baby Formula’, ‘DIY Baby Formula’, ‘Baby Formula Recipe’ and ‘All Natural Baby Formula’. A quantitative content analysis of blogs offering recipes for HIF was completed. Blogs that met the inclusion criteria were reviewed for disclaimers, blogger’s credentials, rationale for HIF use, advertisement or sale of recipe ingredients and recipe ingredients.Setting:Worldwide Web.Results:Fifty-nine blogs, featuring one hundred forty-four recipes, met inclusion criteria. Among reviewed blogs, 33·9 % did not provide a disclaimer stating breast milk is the preferred option, 25·4 % recommended consulting a healthcare professional before using, and 76·3 % and 20·3 % either advertised or sold ingredients or recipe kits, respectively. Credentials of bloggers varied and only seven bloggers identified themselves as ‘nutritionists’. The three most frequently mentioned recipe ingredients were whole raw cow’s milk (24·3 %), raw goat’s milk (23·6 %) and liver (14·5 %).Conclusions:Clinicians should be aware of this trend, discuss source of formula with parents, advocate for appropriate infant feeding practices and monitor for side effects.
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Wartenberg, Lisa, Margaret Raber, and Joya Chandra. "Unique Features of a Web-Based Nutrition Website for Childhood Cancer Populations: Descriptive Study." Journal of Medical Internet Research 23, no. 9 (September 13, 2021): e24515. http://dx.doi.org/10.2196/24515.
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Background Children with cancer experience a myriad of nutritional challenges that impact their nutrition status during treatment and into survivorship. Growing evidence suggests that weight at diagnosis impacts cancer outcomes, but provider guidance on nutrition and diet during treatment varies. Nutrition literacy and culinary resources may help mitigate some common nutritional problems; however, many patients may face barriers to accessing in-person classes. Along with dietitian-led clinical interventions, web-based resources such as the newly updated electronic cookbook (e-cookbook) created by The University of Texas MD Anderson Cancer Center, @TheTable, may facilitate access to nutrition and culinary education during treatment and into survivorship. Objective We sought to define and describe the features and content of the @TheTable e-cookbook and compare it with analogous resources for a lay audience of patients with childhood cancer and childhood cancer survivors as well as their families. Methods We evaluated freely available web-based resources via a popular online search engine (ie, Google). These searches yielded three web-based resources analogous to @TheTable: the American Institute for Cancer Research’s Healthy Recipes, The Children’s Hospital of San Antonio’s Culinary Health Education for Families Recipe for Life, and Ann Ogden Gaffney and Fred Hutchinson Cancer Research Center’s Cook for Your Life. These sites were analyzed for the following: number of recipes, search functionality, child or family focus, cancer focus, specific dietary guidance, videos or other media, and miscellaneous unique features. Results Cook for Your Life and Culinary Health Education for Families Recipe for Life were the most comparable to @TheTable with respect to cancer focus and family focus, respectively. Healthy Recipes is the least user-friendly, with few search options and no didactic videos. Conclusions The @TheTable e-cookbook is unique in its offering of child- and family-focused content centered on the cancer and survivorship experience.
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Bello, Rotimi-Williams, and Firstman Noah Otobo. "Conversion of Website Users to Customers-The Black Hat SEO Technique." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (June 29, 2018): 29. http://dx.doi.org/10.23956/ijarcsse.v8i6.714.
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Search Engine Optimization (SEO) is a technique which helps search engines to find and rank one site over another in response to a search query. SEO thus helps site owners to get traffic from search engines. Although the basic principle of operation of all search engines is the same, the minor differences between them lead to major changes in results relevancy. Choosing the right keywords to optimize for is thus the first and most crucial step to a successful SEO campaign. In the context of SEO, keyword density can be used as a factor in determining whether a webpage is relevant to a specified keyword or keyword phrase. SEO is known for its contribution as a process that affects the online visibility of a website or a webpage in a web search engine's results. In general, the earlier (or higher ranked on the search results page), and more frequently a website appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. It is the objective of this paper to re-present black hat SEO technique as an unprofessional but profitable method of converting website users to customers. Having studied and understood white hat SEO, black hat SEO, gray hat SEO, crawling, indexing, processing and retrieving methods used by search engines as a web software program or web based script to search for documents and files for keywords over the internet to return the list of results containing those keywords; it would be seen that proper application of SEO gives website a better user experience, SEO helps build brand awareness through high rankings, SEO helps circumvent competition, and SEO gives room for high increased return on investment.
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Tobey, Lauren, Christine Mouzong, Joyce Angulo, Sally Bowman, and Melinda Manore. "How Low-Income Mothers Select and Adapt Recipes and Implications for Promoting Healthy Recipes Online." Nutrients 11, no. 2 (February 5, 2019): 339. http://dx.doi.org/10.3390/nu11020339.
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We describe a 5-year (2011–2015) qualitative evaluation to refine the content/delivery of the Food Hero social marketing campaign recipes to low-income mothers. Objectives were to: (1) identify characteristics looked for in recipes; (2) determine recipe sources; (3) understand motivation for seeking new recipes and recipe adaptations; and (4) identify recipe website characteristics users valued. Nine focus groups (n = 55) were conducted in Portland, Oregon. Participants (35–52 years) were primary caregivers for ≥ one child, the primary household food shoppers/preparers, enrolled in the Supplemental Nutrition Assistance Program (SNAP) and able to speak/read English. Participants reported having “go-to” family recipes and regularly searching online for new recipes, especially those using ingredients available/preferred by family members. Recipe websites with highest appeal were polished and engaging to mothers/children, offered user-ratings/comments and were reachable from search engines. Results identified key recommendations: (1) understand the target audience; (2) aim to add healthy/customizable recipes to family “go-to’ recipe rotations and understand the impact of generational influences (e.g. how mothers/grandmothers cooked) on family meals; and (3) create websites that meet target audience criteria. Seeking the target audience’s input about the content/delivery of recipes is an important formative step for obesity-prevention projects that include healthy recipes.
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Bonart, Malte, Anastasiia Samokhina, Gernot Heisenberg, and Philipp Schaer. "An investigation of biases in web search engine query suggestions." Online Information Review 44, no. 2 (December 5, 2019): 365–81. http://dx.doi.org/10.1108/oir-11-2018-0341.
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Purpose Survey-based studies suggest that search engines are trusted more than social media or even traditional news, although cases of false information or defamation are known. The purpose of this paper is to analyze query suggestion features of three search engines to see if these features introduce some bias into the query and search process that might compromise this trust. The authors test the approach on person-related search suggestions by querying the names of politicians from the German Bundestag before the German federal election of 2017. Design/methodology/approach This study introduces a framework to systematically examine and automatically analyze the varieties in different query suggestions for person names offered by major search engines. To test the framework, the authors collected data from the Google, Bing and DuckDuckGo query suggestion APIs over a period of four months for 629 different names of German politicians. The suggestions were clustered and statistically analyzed with regards to different biases, like gender, party or age and with regards to the stability of the suggestions over time. Findings By using the framework, the authors located three semantic clusters within the data set: suggestions related to politics and economics, location information and personal and other miscellaneous topics. Among other effects, the results of the analysis show a small bias in the form that male politicians receive slightly fewer suggestions on “personal and misc” topics. The stability analysis of the suggested terms over time shows that some suggestions are prevalent most of the time, while other suggestions fluctuate more often. Originality/value This study proposes a novel framework to automatically identify biases in web search engine query suggestions for person-related searches. Applying this framework on a set of person-related query suggestions shows first insights into the influence search engines can have on the query process of users that seek out information on politicians.
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Serrano, Will. "Neural Networks in Big Data and Web Search." Data 4, no. 1 (December 30, 2018): 7. http://dx.doi.org/10.3390/data4010007.
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As digitalization is gradually transforming reality into Big Data, Web search engines and recommender systems are fundamental user experience interfaces to make the generated Big Data within the Web as visible or invisible information to Web users. In addition to the challenge of crawling and indexing information within the enormous size and scale of the Internet, e-commerce customers and general Web users should not stay confident that the products suggested or results displayed are either complete or relevant to their search aspirations due to the commercial background of the search service. The economic priority of Web-related businesses requires a higher rank on Web snippets or product suggestions in order to receive additional customers. On the other hand, web search engine and recommender system revenue is obtained from advertisements and pay-per-click. The essential user experience is the self-assurance that the results provided are relevant and exhaustive. This survey paper presents a review of neural networks in Big Data and web search that covers web search engines, ranking algorithms, citation analysis and recommender systems. The use of artificial intelligence (AI) based on neural networks and deep learning in learning relevance and ranking is also analyzed, including its utilization in Big Data analysis and semantic applications. Finally, the random neural network is presented with its practical applications to reasoning approaches for knowledge extraction.
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Serrano, Will. "Smart Internet Search with Random Neural Networks." European Review 25, no. 2 (February 6, 2017): 260–72. http://dx.doi.org/10.1017/s1062798716000594.
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Web services that are free of charge to users typically offer access to online information based on some form of economic interest of the web service itself. Advertisers who put the information on the web will make a payment to the search services based on the clicks that their advertisements receive. Thus, end users cannot know that the results they obtain from web search engines are exhaustive, or that they actually respond to their needs. To fill the gap between user needs and the information presented to them on the web, Intelligent Search Assistants have been proposed to act at the interface between users and search engines to present data to users in a manner that reflects their actual needs or their observed or stated preferences. This paper presents an Intelligent Internet Search Assistant based on the Random Neural Network that tracks the user’s preferences and makes a selection on the output of one or more search engines using the preferences that it has learned. We also introduce a ‘relevance metric’ to compare the performance of our Intelligent Internet Search Assistant against a few search engines, showing that it provides better performance.
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Lachmann, Alexander, Brian M. Schilder, Megan L. Wojciechowicz, Denis Torre, Maxim V. Kuleshov, Alexandra B. Keenan, and Avi Ma’ayan. "Geneshot: search engine for ranking genes from arbitrary text queries." Nucleic Acids Research 47, W1 (May 22, 2019): W571—W577. http://dx.doi.org/10.1093/nar/gkz393.
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Abstract The frequency by which genes are studied correlates with the prior knowledge accumulated about them. This leads to an imbalance in research attention where some genes are highly investigated while others are ignored. Geneshot is a search engine developed to illuminate this gap and to promote attention to the under-studied genome. Through a simple web interface, Geneshot enables researchers to enter arbitrary search terms, to receive ranked lists of genes relevant to the search terms. Returned ranked gene lists contain genes that were previously published in association with the search terms, as well as genes predicted to be associated with the terms based on data integration from multiple sources. The search results are presented with interactive visualizations. To predict gene function, Geneshot utilizes gene–gene similarity matrices from processed RNA-seq data, or from gene–gene co-occurrence data obtained from multiple sources. In addition, Geneshot can be used to analyze the novelty of gene sets and augment gene sets with additional relevant genes. The Geneshot web-server and API are freely and openly available from https://amp.pharm.mssm.edu/geneshot.
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Hepworth, Allison, Meg Small, and Timothy Brick. "Fathers’ Information Seeking and Use Regarding Infant Feeding: Results From a Survey of Fathers’ Unique Information Needs and Preferences." Current Developments in Nutrition 5, Supplement_2 (June 2021): 999. http://dx.doi.org/10.1093/cdn/nzab052_002.
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Abstract Objectives Fathers are often marginalized in infant nutrition education, which limits fathers' opportunities to develop responsive, nutritious infant feeding practices. To effectively engage fathers in infant nutrition education, research is needed to describe fathers’ unique information needs and preferences, which was the objective of the current study. Methods First-time parents of infants ≤24 months old completed a cross-sectional online survey about their experience obtaining information about infant feeding in the last 30 days, including: Search frequency, information basis preferences, search topics, sources of information, and information use. Chi-square analyses were conducted to explore gender differences. Results Fathers were the minority of participants (n = 47, 11%). Fathers primarily identified as white (66%) or Black (21%) and were diverse in education and income. Most fathers (87%) sought information about infant feeding ≥ once per week. Fathers most frequently ranked supported by scientific information as the most important basis of infant feeding information (32%). In the last 30 days, fathers most commonly sought information about bottle feeding (51%), breastfeeding (40%), recipe ideas (40%), and infant nutritional needs (40%). Fathers’ top most recent search topics were breastfeeding (15%), food allergies (11%) and introducing solid foods (11%). In their most recent search, fathers most commonly sought information from relatives (62%), search engines (51%), websites (43%), co-parents (38%), and pediatricians (36%). Compared to mothers, fathers were more likely to have sought information about bottle feeding in the last 30 days (51% vs. 23%, P < .001) and most recently. Fathers’ most recent search was less likely about recipe ideas (6% vs. 20%, P = .021). Fathers were more likely to seek information from relatives (62% vs. 43%, P = .013) and co-parents (38% vs. 20%, P = .005). Fathers were more likely to feel empowered by the information they obtained (38% vs. 22%, P = .013), and to use that information (98% vs. 85%, P = .014), specifically to make a plan (79% vs. 64%, P = .042), or use a new feeding approach (57% vs. 43%, P = .032). Conclusions Fathers reported unique information needs and preferences that could be incorporated into infant nutrition education programming. Funding Sources NSF GRPF; USDA NIFA; University dissertation endowment.
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Chen, Yu Wen, Ju Zhang, Kun Hua Zhong, Lei Feng Liu, and Yuan Yao. "Improve the Search and Ranking with Neural Networks." Applied Mechanics and Materials 441 (December 2013): 721–26. http://dx.doi.org/10.4028/www.scientific.net/amm.441.721.
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The full text retrieval system can receive constant feedback in the form of user behavior. In the case of a search engine, each user will immediately provide information about how much he likes the results for a given search by clicking on one result and choosing not to click on the others. This paper will look at a way to record when a user clicks on a result after a query, and design a Click-Tracking Network. Then training it with BP neural networks to intelligently improve the rankings of the results for users. Finally, we implement a search and ranking system content-based ranking and improve the search and ranking with neural network. By experiments we have shown good results.
Dissertations / Theses on the topic "Recipe Search Engine"
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Malladi, Rajavardhan. "Recipe search engine using Yummly API." Kansas State University, 2016. http://hdl.handle.net/2097/32661.
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Master of ScienceDepartment of Computing and Information Sciences
Daniel A. Andresen
In this project I have built a web application "Recipe Search Engine Using Yummly API". This application is central information hub for the kitchen--connecting consumers with recipe ideas, ingredient lists, and cooking instructions. It will serve best for the people who uses digital tools to plan their cooking, these days almost everyone does. The various features available for users in this application are as following. Users can search for their favorite dishes. The search results contain information about ingredients list, total time needed for cooking, user's rating and cooking directions. Basic search filters are provided to filter out the search results like Breakfast, Lunch and Dinner recipes. The order of displayed results can be sorted according to ratings, total time required to prepare the dish. User can create an account and build their own favorite recipe collection by liking the recipes displayed. The liked recipes are stored into user’s account and user can view, add and delete those recipes anytime from his recipe collection. Users can use their social networking platform Facebook account credentials to log into this application or create a new account in this application. The application will communicate with the Yummly API to consume data from it. The Yummly API is largest recipe information aggregator with over one million recipes data.
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Abrignani, Federico. "Cookgle, architettura a basso livello di un motore di ricerca per ricette culinarie." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
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La realizzazione di un motore di ricerca per uno specifico ambito documentale comporta molte scelte. Questo documento intende esplicarne problemi riscontrati e soluzioni ottenute durante la realizzazione di un motore di ricerca per ricette culinarie.
Questa dissertazione illustra il problema sia da un punto di vista architetturale che implementativo, in particolare, la tesi tratta sia del design pattern MVC, usato come base del progetto, che di algoritmi di stemming e ranking.
Books on the topic "Recipe Search Engine"
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Das, Subhankar. Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing. Taylor & Francis Group, 2020.
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Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing. Taylor & Francis Group, 2020.
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Das, Subhankar. Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing. Taylor & Francis Group, 2020.
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Das, Subhankar. Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing. Taylor & Francis Group, 2020.
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Apache Solr 4 Cookbook: Over 100 recipes to make Apache Solr faster, more reliable, and return better results. 2nd ed. Birmingham, England: Packt Pub., 2013.
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Solr Cookbook: Solve Real-Time Problems Related to Apache Solr 4.x and 5.0 Effectively with the Help of Over 100 Easy-to-Follow Recipes. Birmingham, England: Packt Pub., 2015.
Find full textBook chapters on the topic "Recipe Search Engine"
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Whitney, Heather M., and Robert Mark Simpson. "Search Engines and Free Speech Coverage." In Free Speech in the Digital Age, 33–51. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190883591.003.0003.
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This chapter investigates whether search engines and other new modes of online communication should be covered by free speech principles. It criticizes the analogical reasoning that contemporary American courts and scholars have used to liken search engines to newspapers, and to extend free speech coverage to them based on that likeness. There are dissimilarities between search engines and newspapers that undermine the key analogy, and also rival analogies that can be drawn which do not recommend free speech protection for search engines. Partly on these bases, we argue that an analogical approach to questions of free speech coverage is of limited use in this context. Credible verdicts about how free speech principles should apply to new modes of online communication require us to re-excavate the normative foundations of free speech. This method for deciding free speech coverage suggests that only a subset of search engine outputs and similar online communication should receive special protection against government regulation.
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Basal, Bilgen. "On-Line Media Planning and On-Line Media Common Measurement Currencies." In Handbook of Research on Effective Advertising Strategies in the Social Media Age, 105–24. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8125-5.ch006.
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This chapter examines on-line media planning techniques and the common on-line measurement metrics, which are used in evaluating the effectiveness of an advertising campaign. It uses highly accessible and scalable Web-based and mobile communication techniques, which turn communication into interactive dialogue as opposed to traditional media. On-line media planning is analyzed in four different dimensions, such as on-line display advertising, performance marketing, social media marketing, and mobile advertising. In addition to this, the meanings and the implications of some concepts such as on-page and off-page search engine optimization and search engine marketing, impression, cost per thousand impressions, also click through rate, pay per click, cost per lead. Please note that conversion and engagement rates are also investigated in this chapter. Social media tools in building the social media strategy such as Facebook social graph, custom audiences, lookalike audiences, interest analysis, and Google analytics also receive special attention.
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Hamdi, Mohamed Salah. "Information Customization using SOMSE." In Methodological Advancements in Intelligent Information Technologies, 188–211. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-970-0.ch010.
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Information overload on the World-Wide Web is a well recognized problem. Research to subdue this problem and extract maximum benefit from the Internet is still in its infancy. Managing information overload on the Web is a challenge and the need for more precise techniques for assisting the user in finding the most relevant and most useful information is obvious. Search engines are very effective at filtering pages that match explicit queries. Search engines, however, require massive memory resources (to store an index of the Web) and tremendous network bandwidth (to create and continually refresh the index). These systems receive millions of queries per day, and as a result, the CPU cycles devoted to satisfying each individual query are sharply curtailed. There is no time for intelligence which is mandatory for offering ways to combat information overload. What is needed are systems, often referred to as information customization systems, that act on the user’s behalf and that can rely on existing information services like search engines that do the resource-intensive part of the work. These systems will be sufficiently lightweight to run on an average PC and serve as personal assistants. Since such an assistant has relatively modest resource requirements it can reside on an individual user’s machine. If the assistant resides on the user’s machine, there is no need to turn down intelligence. The system can have substantial local intelligence. In an attempt to circumvent the problems of search engines and contribute to resolving the problem of information overload over the Web, the authors propose SOMSE, a system that improves the quality of Web search by combining meta-search and unsupervised learning.
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Wilk, Stephen R. "Who Invented the Black Light?" In Sandbows and Black Lights, 7–16. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197518571.003.0002.
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If you ask a search engine, “Who invented the black light?,” odds are very good that the answer you will receive is “Dr. William H. Byler in 1935.” But, in fact, Dr. Byler never claimed to have invented the long-wave ultraviolet light, no such invention is recorded in any of his papers or patents, and what is certainly what we today call the “blacklight” was invented over fifteen years earlier. So who really did invent it, and how did Byler’s name and date get on it? We look into the history and development of the ultraviolet lamp and at the work of Dr. Byler.
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DeCesare, Julie A. "Navigating Multimedia." In Open Source Technology, 981–96. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7230-7.ch047.
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The Web has quickly become a resource for multimedia and video content. Search engines have tools to mine for visual content, but finding video content creates different challenges than searching for text. This chapter presents a detailed guide on searching for visual multimedia content and provides a showcase of innovative collections and resources. The reader will learn research strategies, gain specific skills in navigating multimedia, and receive a list of resources for finding subject-specific and interdisciplinary video content. Resources are reviewed based on content quality, partnerships, technical specifications, and overall usability.
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DiGirolamo, Vincent. "Riding the Wanderlust Express." In Crying the News, 207–33. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780195320251.003.0007.
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Railroads reigned supreme in industrial America. They were the engines that drove the postbellum economy, stimulated western expansion, and imposed their corporate time zones on the nation. Local, state, and transcontinental railways employed thousands of men, carried millions of passengers, and brought a cornucopia of goods—including newspapers—to distant markets. Three types of newsboys emerged from this transportation network: salaried news agency hands who regularly met trains to ship and receive local and out-of-town papers, uniformed “news butchers” who plied passengers with reading material and sundry items, and footloose “tramp newsboys” who hitched rides on freight or passenger cars in search of work, adventure, or family. Each of these types occupied a separate niche in the distribution process and a different rung on the social ladder, but they shared a dependence on railroads and newspapers for their daily bread. Their experiences offer a crucial bottom-up perspective on the circulation of newspapers and the role of children and railroads in the development of print capitalism.
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Jones, Katy. "No strings attached? An exploration of employment support services offered by third sector homelessness organisations." In Dealing with Welfare Conditionality, 91–118. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781447341826.003.0005.
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In exchange for their receipt of conditional benefits such as JobSeekers Allowance and Universal Credit, people experiencing homelessness are expected to engage in mandatory job search or other work-related activities. However, many homeless people have become alienated from mainstream employment support as a result of difficulties in meeting these compulsory conditions. Recognising their exclusion from the mainstream welfare system, this chapter focuses on an alternative source of employment support for homeless adults - that offered by third sector homelessness organisations. Drawing on new data from interviews with homelessness practitioners, it uncovers a range of employment-related support available to homeless people accessing support from third sector providers. It then considers two key potentially contradictory issues. First, whilst a range of employment-related support services delivered by third sector organisations’ own programmes and initiatives are identified, much of this appears to be focussed on mitigating the impacts of the increasingly conditional nature of the statutory welfare system. Second, while appearing critical of the increasingly conditional statutory system and the impacts that a punitive welfare state is having on those they are supporting, some of the approaches adopted by these agencies also incorporate elements of conditionality.
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Johnson, Annette, Cassandra McKay-Jackson, and Giesela Grumbach. "Future Implications." In Critical Service Learning Toolkit. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190858728.003.0015.
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As presented in the case examples in Chapter 9, critical service learning (CSL) projects can be a tool for engaging young people in their school and neighborhood communities. Unfortunately, many US public schools may have limited resources (financial or personnel) to provide creative and innovative programming. (Spring, Grimm, & Dietz, 2008). However, a need still exists to ensure that all youth receive equal chances to succeed in school. According to Germain (2006), school mental health professionals such as school social workers should engage “the progressive forces in people and situational assets, and [effect] the removal of environmental obstacles to growth and adaptive functioning” (p. 30). Advocating against barriers that prevent equal access to resources is a cornerstone of social work practice, and CSL can be one vehicle by which equal opportunities are secured. As mentioned throughout this toolkit, CSL is appropriate for students at all tiers, including both regular education and students with disabilities. Many students who benefit from CSL projects and work with school- based social workers also receive special education support. Yet, even with targeted interventions, evaluative data from special education services continue to report poor outcomes for youth with emo¬tional and behavioral disorders (Lewis, Jones, Horner, & Sugai, 2010). Students who receive special education services may need additional supportive services to remain in and graduate from high school (Thurlow, Sinclair, & Johnson, 2002). According to 2010– 2011 data collected by the National Center for Education Statistics, more than 20% of students who received special education services dropped out of high school (US Department of Education, 2013). Approximately 20% of those students were diagnosed as emotionally disturbed, and 53% had a specific learning disability (US Department of Education, 2013). After controlling for gender, ethnicity, and socioeconomic status, youth with disabilities are still among those at greatest risk for dropping out of school. No single reason exists regarding why students disengage from school; the issue is multifaceted. Sinclair, Christenson, and Thurlow (2005) asserted that “practitioners and policymakers in search of empirically supported intervention strategies will need to rely on studies that examine secondary indica¬tors of dropout prevention, such as reduction in problem behavior through positive behavioral supports or increasing student’s affiliation with school through service learning programs” (p. 466).
Conference papers on the topic "Recipe Search Engine"
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Tang, Meng, Yuanjiang Pei, Hengjie Guo, Yu Zhang, Roberto Torelli, Daniel Probst, Carsten Fütterer, and Michael Traver. "Piston Bowl Geometry Effects on Gasoline Compression Ignition in a Heavy-Duty Diesel Engine." In ASME 2020 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icef2020-2990.
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Abstract A design optimization campaign was conducted to search for improved combustion profiles that enhance gasoline compression ignition in a heavy-duty diesel engine with a geometric compression ratio of 17.3. Three-dimensional computational fluid dynamics simulations were employed using the software package CONVERGE. A large-scale design of experiments (DoE) approach was used for the optimization. The main parameters explored include geometric features, injector specifications, and swirl motion. Both stepped-lip bowls and re-entrant bowls were included in the optimization effort in order to assess their respective performance implications. A total of 256 design candidates were prepared using the software package CAESES for automated and simultaneous geometry generation and combustion recipe perturbation. The design optimization was conducted for three engine load points representing light to medium load conditions. The design candidates were evaluated for fuel efficiency, emissions, fuel-air mixing characteristics, and global combustion behavior. Simulation results show that the optimum designs were all stepped-lip bowls, which exhibited better overall performance than re-entrant bowls due to improvements in fuel-air mixing, as well as reduced heat loss and emissions formation. Improvements in indicated specific fuel consumption of up to 3.2% were achieved while meeting engine-out NOx emission targets of 1–1.5 g/kW·hr. Re-entrant bowls performed worse compared to the baseline design, and significant performance variations occurred across the load points. Specifically, the re-entrant bowls were on par with the stepped-lip bowls under light load conditions, but significant deteriorations occurred under higher load conditions. As a final task, selected optimized designs were then evaluated under simulated full-load conditions.
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Muravitskaya, R. А., D. P. Babaryka, N. S. Shakura, and E. V. Aksiuta. "PROMOTION OF AGRARIAN SCIENTIFIC JOURNALS THROUGH THE «PORTAL OF PUBLICATIONS OF THE DEPARTMENT OF AGRARIAN SCIENCES OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS»." In БИБЛИОТЕКИ В ИНФОРМАЦИОННОМ ОБЩЕСТВЕ: СОХРАНЕНИЕ ТРАДИЦИЙ И РАЗВИТИЕ НОВЫХ ТЕХНОЛОГИЙ. ООО «Ковчег», 2020. http://dx.doi.org/10.47612/978-985-884-010-5-2020-53-64.
Full textAbstract:
Most agricultural periodicals do not adhere to recommendations for the design of a scientific journal recognized by world standards, and do not have adequate information platforms for interacting with both search engines and international citation indices. On June 5, 2020 State Institution “I.S. Lupinovich Belarus Agricultural Library” of the National Academy of Sciences of Belarus was appointed the executor of generation and filling the “Portal of publications of the Department of Agrarian Sciences of the National Academy of Sciences of Belarus”. The portal will consist of two elements. The first element is the portal itself, which will provide unified information about the new, most cited and viewed articles on agricultural topics, agricultural science news and will have a single search line for all materials posted on the portal. The second element is completely self-contained scientific journal sites. Each of the journals included in the project will receive its own separate site, which will fully comply with modern scientific publishing practices and the requirements of international scientific databases. The “Portal of the publications of the Department of Agrarian Sciences of the National Academy of Sciences of Belarus” and the sites of the journals will be developed in conjunction with the system of comprehensive support and support of the scientific journal “Elpub” Non-for-profit partnership “National Electronic Information Consortium”. The library has signed an agreement on cooperation with four organizations of the Department of Agrarian Sciences of the National Academy of Sciences of Belarus to provide materials published in their journals for filling the portal and sites. The implementation of this project will serve as a foundation for the future entry of Belarusian scientific agricultural journals into international scientific databases and will help to acquaint the world scientific community with the developments of Belarusian agrarian scientists.