bluuebunny/crossref_metadata_2025_split huggingface dataset:
НОВІТНІ ІНГРЕДІЄНТИ ДЛЯ НАТУРАЛЬНОЇ КОСМЕТИКИ НА ОСНОВІ МОЛОЧНОЇ СИРОВАТКИ
Authors: Ткаченко Н. А. , Чагаровський О. П. , Ізбаш Є. О. , Ланженко Л. О. , Котляр Є. О. 
Published: November 2022

У роботі наведено вимоги до натуральної і органічної косметики; обґрунтовано необхідність розробки новітніх інгредієнтів для виробництва натуральних і органічних косметичних засобів на основі молочної сироватки.Наведено розроблену авторами схему комплексного перероблення молочної сироватки із застосуванням мембранних методів оброблення з метою отримання новітніх сировинних інгредієнтів для індустрії краси. Визначено сферу застосування запропонованих сировинних інгредієнтів у виробництві натуральної косметики: розчини мінералів, отримані при нанофільтраційному та електродіалізному обробленні сироватки, рекомендовані до використання у виробництві лосьйонів та тоніків, ферментований культурами лакто— та біфідобактерій ультрафільтраційний фільтрат (УФ—фільтрат) — для виробництва «живих» безспиртових тоніків; «пробіотичні» засоби для тонізації шкіри з лізатами пробіотичних культур лакто— і біфідобактерій можуть вироблятися із пастеризованого ферментованого УФ—фільтрату; сухий концентрат пробіотичних культур лакто— та/або біфідобактерій і сироваткових білків, отриманий ліофільним сушінням ферментованого заквасками безпосереднього внесення ультрафільтраційного демінералізованого концентрату, рекомендовано використовувати як інгредієнт «живих» шампунів, кремів, бальзамів, скрабів, убтанів, масок, декоративної косметики; концентрати коротко—ланцюгових пептидів з молекулярною масою до 1,5 кДа, отримані у процесі ферментолізу концентратів сироваткових білків із застосуванням комплексів протеаз, з подальшим центрифугуванням, можуть бути інгредієнтами косметики з anti—age ефектом.Обґрунтовані параметри ферментації УФ—фільтрату сирної сироватки, заквашувальними композиціями зі змішаних культур лакто— та біфідобактерій: температура 37…40 °С, тривалість — 24…36 год. Визначені показники якості ферментованих УФ—фільтратів сирної сироватки, наведені рекомендації щодо їх застосування у виробництві натуральних «живих» косметичних засобів для тонізації шкіри.
“It Is Just a Flu”: Assessing the Effect of Watch History on YouTube’s Pseudoscientific Video Recommendations
Authors: Papadamou Kostantinos , Zannettou Savvas , Blackburn Jeremy , Cristofaro Emiliano De , Stringhini Gianluca , Sirivianos Michael 
Published: November 2022

The role played by YouTube's recommendation algorithm in unwittingly promoting misinformation and conspiracy theories is not entirely understood. Yet, this can have dire real-world consequences, especially when pseudoscientific content is promoted to users at critical times, such as the COVID-19 pandemic. In this paper, we set out to characterize and detect pseudoscientific misinformation on YouTube. We collect 6.6K videos related to COVID-19, the Flat Earth theory, as well as the anti-vaccination and anti-mask movements. Using crowdsourcing, we annotate them as pseudoscience, legitimate science, or irrelevant and train a deep learning classifier to detect pseudoscientific videos with an accuracy of 0.79.

We quantify user exposure to this content on various parts of the platform and how this exposure changes based on the user's watch history. We find that YouTube suggests more pseudoscientific content regarding traditional pseudoscientific topics (e.g., flat earth, anti-vaccination) than for emerging ones (like COVID-19). At the same time, these recommendations are more common on the search results page than on a user's homepage or in the recommendation section when actively watching videos. Finally, we shed light on how a user's watch history substantially affects the type of recommended videos.
Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
Authors: Kessler Jason , Nicolov Nicolas 
Published: November 2022

User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their blog, message board, etc. posts with respect to topics expressed as a search query. In the scenario we consider the matches of the search query terms are expanded through coreference and meronymy to produce a set of mentions. The mentions are contextually evaluated for sentiment and their scores are aggregated (using a data structure we introduce call the sentiment propagation graph) to produce an aggregate score for the input entity. An extremely crucial part in the contextual evaluation of individual mentions is finding which sentiment expressions are semantically related to (target) which mentions --- this is the focus of our paper. We present an approach where potential target mentions for a sentiment expression are ranked using supervised machine learning (Support Vector Machines) where the main features are the syntactic configurations (typed dependency paths) connecting the sentiment expression and the mention. We have created a large English corpus of product discussions blogs annotated with semantic types of mentions, coreference, meronymy and sentiment targets. The corpus proves that coreference and meronymy are not marginal phenomena but are really central to determining the overall sentiment for the top-level entity. We evaluate a number of techniques for sentiment targeting and present results which we believe push the current state-of-the-art.
Visualizing Cross-Lingual/Cross-Cultural Differences in Concerns in Multilingual Blogs
Authors: Nakasaki Hiroyuki , Kawaba Mariko , Yamazaki Sayuri , Utsuro Takehito , Fukuhara Tomohiro 
Published: November 2022

The goal of this paper is to cross-lingually analyze multilingual blogs collected with a topic keyword. The framework of collecting multilingual blogs with a topic keyword is designed as the blog feed retrieval procedure. Multilingual queries for retrieving blog feeds are created from Wikipedia entries. Finally, we present an interface for visualizing cross-lingual/cross-cultural differences in concerns and opinions that are closely related to a given topic. Preliminary evaluation results support the effectiveness of the proposed framework.
Blogging Together: An Examination of Group Blogs
Authors: Hearst Marti , Dumais Susan 
Published: November 2022

This paper presents the first examination of the growing phenomenon of multi-author, or group blogs. Using a large collection of blog posts gathered over an eight month period, we conducted some quantitative assessments. Multi-author blogs were found to differ significantly from single-and-two author blogs on several quality metrics, including having longer posts on average and being ranked higher according to an in-link metric. Visualization of patterns of posting revealed that individual authors often dominate the posts in multi-author blogs, and that in some cases tags are shared, but usually not extensively.
Detecting and Tracking Political Abuse in Social Media
Authors: Ratkiewicz Jacob , Conover Michael , Meiss Mark , Goncalves Bruno , Flammini Alessandro , Menczer Filippo 
Published: November 2022

We study astroturf political campaigns on microblogging platforms: politically-motivated individuals and organizations that use multiple centrally-controlled accounts to create the appearance of widespread support for a candidate or opinion. We describe a machine learning framework that combines topological, content-based and crowdsourced features of information diffusion networks on Twitter to detect the early stages of viral spreading of political misinformation. We present promising preliminary results with better than 96% accuracy in the detection of astroturf content in the run-up to the 2010 U.S. midterm elections.
Social Media Is NOT that Bad! The Lexical Quality of Social Media
Authors: Rello Luz , Baeza-Yates Ricardo 
Published: November 2022

There is a strong correlation between spelling errors and web text content quality. Using our lexical quality measure, based in a small corpus of spelling errors, we present an estimation of the lexical quality of the main Social Media sites. This paper presents an updated and complete analysis of the lexical quality of Social Media written in English and Spanish, including how lexical quality changes in time.
Magnet News: You Choose the Polarity of What You Read
Authors: Reis Julio , Gonçalves Pollyanna , Olmo Pedro , Prates Raquel , Benevenuto Fabrício 
Published: November 2022

When was the last time you read a newspaper and was bombarded with articles you would rather not see? Current news media shows massive number of news every day. But from tragedies to happy stories, people might want to choose to read only those articles that fit their current mood. The purpose of this project is to present the Magnet News, a Web tool in which users can choose if they want to see positive or negative news. Our system monitors the sentiment of news from important newspapers using the SentiStrength, a sentiment method proposed by literature that has been proved to be efficient in previous analysis.
Linguistic Reflections of Student Engagement in Massive Open Online Courses
Authors: Wen Miaomiao , Yang Diyi , Rose Carolyn 
Published: November 2022

While data from Massive Open Online Courses (MOOCs) offers the potential to gain new insights into the ways in which online communities can contribute to student learning, much of the richness of the data trace is still yet to be mined. In particular, very little work has attempted fine-grained content analyses of the student interactions in MOOCs. Survey research indicates the importance of student goals and intentions in keeping them involved in a MOOC over time. Automated fine-grained content analyses offer the potential to detect and monitor evidence of student engagement and how it relates to other aspects of their behavior. Ultimately these indicators reflect their commitment to remaining in the course. As a methodological contribution, in this paper we investigate using computational linguistic models to measure learner motivation and cognitive engagement from the text of forum posts. We validate our techniques using survival models that evaluate the predictive validity of these variables in connection with attrition over time. We conduct this evaluation in three MOOCs focusing on very different types of learning materials. Prior work demonstrates that participation in the discussion forums at all is a strong indicator of student commitment. Our methodology allows us to differentiate better among these students, and to identify danger signs that a struggling student is in need of support within a population whose interaction with the course offers the opportunity for effective support to be administered. Theoretical and practical implications will be discussed.
Great Question! Question Quality in Community Q&A
Authors: Ravi Sujith , Pang Bo , Rastogi Vibhor , Kumar Ravi 
Published: November 2022

Asking the right question in the right way is an art (and a science). In a community question-answering setting, a good question is not just one that is found to be useful by other people: a question is good if it is also presented clearly and shows prior research. Using a community question-answering site that allows voting over the questions, we show that there is a notion of question quality that goes beyond mere popularity. We present techniques using latent topic models to automatically predict the quality of questions based on their content. Our best system achieves a prediction accuracy of 72%, beating out strong baselines by a significant amount. We also examine the effect of question quality on the dynamics of user behavior and the longevity of questions.
A Tale of Cities: Urban Biases in Volunteered Geographic Information
Authors: Hecht Brent , Stephens Monica 
Published: November 2022

Geotagged tweets, Foursquare check-ins and other forms of volunteered geographic information (VGI) play a critical role in numerous studies and a large range of intelligent technologies. We show that three of the most commonly used sources of VGI – Twitter, Flickr, and Foursquare – are biased towards urban perspectives at the expense of rural ones. Utilizing a geostatistics-based approach, we demonstrate that, on a per capita basis, these important VGI datasets have more users, more information, and higher quality information within metropolitan areas than outside of them. VGI is a subset of user-generated content (UGC) and we discuss how our results suggest that urban biases might exist in non-geographically referenced UGC as well. Finally, because Foursquare is exclusively made up of VGI, we argue that Foursquare (and possibly other location-based social networks) has fundamentally failed to appeal to rural populations.
EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets
Authors: Kempter Renato , Sintsova Valentina , Musat Claudiu , Pu Pearl 
Published: November 2022

Spectators are increasingly using social platforms to express their opinions and share their emotions during big public events. Those reactions reveal the subjective perception of the event and extend its understanding. This has motivated us to develop a system to explore and visualize volume, patterns, and trends of user sentiments as they evolve over time. Previous work in sentiment analysis and opinion mining has addressed these issues. But the majority of them distinguish only two polarity categories, leaving a more detailed and insightful analysis to be desired. In this paper, we suggest using a fine-grained, multi-category emotion model to classify and visualize users' emotional reactions in public events. We describe EmotionWatch, a tool that constructs visual summaries of public emotions, and apply it to the 2012 Olympics as a test case. We report findings from a user study evaluating the usability of the tool and validating the emotion model. Results show that users prefer a more detailed inspection of public emotions over the simplified analysis. Despite its complexity, users were able to effectively grasp, understand, and interpret the emotional reactions using EmotionWatch. The same user study also pointed out few design improvements for the future development of analogous systems.
Applying Monte-Carlo Tree Search in HTN Planning
Authors: Wichlacz Julia , Höller Daniel , Torralba Alvaro , Hoffmann Jörg 
Published: November 2022

Search methods are useful in hierarchical task network (HTN) planning to make performance less dependent on the domain knowledge provided, and to minimize plan costs. Here we investigate Monte-Carlo tree search (MCTS) as a new algorithmic alternative in HTN planning. We implement combinations of MCTS with heuristic search in PANDA. We furthermore investigate MCTS in JSHOP, to address lifted (non-grounded) planning, leveraging the fact that, in contrast to other search methods, MCTS does not require a grounded task representation. Our new methods yield coverage performance on par with the state of the art, but in addition can effectively minimize plan cost over time.
Common Misconceptions Concerning Heuristic Search
Authors: Holte Robert 
Published: November 2022

This paper examines the following statements about heuristic search, which are commonly held to be true:More accurate heuristics result in fewer node expansions by A* and IDA*.A* does fewer node expansions than any other equally informed algorithm that finds optimal solutions. Any admissible heuristic can be turned into a consistent heuristic by a simple technique called pathmax.In search spaces whose operators all have the same cost A* with the heuristic function h(s)=0 for all states, s, is the same as breadth-first search.Bidirectional A* stops when the forward and backward search frontiers meet.The paper demonstrates that all these statements are false and provides alternative statements that are true.
COP27 Climate Change Conference: urgent action needed for Africa and the world
Authors: Atwoli Lukoye , Erhabor Gregory E. , Gbakima Aiah A. , Haileamlak Abraham , Kayembe Ntumba Jean-Marie , Kigera James , Laybourn-Langton Laurie , Mash Robert , Muhia Joy , Malaudzi Fhumulani Mavis , Ofori-Adjei David , Okonofua Fricay , Rashidian Arash , El Adawy Maha , Sidibe Siaka , Snouber Abdelmadjid , Tumwine James , Sahar Yassien Mohammad , Yonga Paul , Zakhama Lilia , Zielinski Chris 
Published: November 2022

The 2022 report of the Intergovernmental Panel on Climate Change (IPCC) paints a dark picture of the future of life on earth, characterised by ecosystem collapse, species extinction, and climate hazards such as heatwaves and floods (1). These are all linked to physical and mental health problems, with direct and indirect consequences of increased morbidity and mortality. To avoid these catastrophic health effects across all regions of the globe, there is broad agreement—as 231 health journals argued together in 2021—that the rise in global temperature must be limited to less than 1.5oC compared with pre-industrial levels.

While the Paris Agreement of 2015 outlines a global action framework that incorporates providing climate finance to developing countries, this support has yet to materialise (2). COP27 is the fifth Conference of the Parties (COP) to be organised in Africa since its inception in 1995. Ahead of this meeting, we—as health journal editors from across the continent—call for urgent action to ensure it is the COP that finally delivers climate justice for Africa and vulnerable countries. This is essential not just for the health of those countries, but for the health of the whole world.
Associativismo, correspondência e periodismo: tecendo uma rede de intelectuais feministas de língua portuguesa/ Associations, Letters and the Periodic Press: Weaving a Network of Portuguese-Speaking Feminist Intellectuals
Authors: Madeira Viviane 
Published: November 2022

Resumo: O presente artigo estuda e descreve algumas das cartas que fazem parte do Espólio Osório de Castro (N12) e do Fundo da Federação Brasileira para o Progresso Feminino (BR RJANRIO Q0) com o intuito de mapear a formação de uma rede intelectual transnacional que conta com a escritora, ativista feminista e professora goesa Maria Ermelinda dos Stuarts Gomes (1889-1937) e a ativista feminista e escritora portuguesa Ana de Castro Osório (1872-1933). A partir da análise das cartas e de sua ação nas associações de que faziam parte, observamos a prevalência de um ideal emancipatório pautado pela missão civilizatória, a que Françoise Vergès (2020) chama de feminismo civilizatório. As estratégias de propagação dessas ideias, proporcionadas pela mobilização de uma rede intelectual de mulheres, culminaram em publicações que superam as barreiras nacionais, já que ambas as autoras publicaram seus textos em periódicos tanto em Portugal, quanto no Brasil e em Goa, na Índia.Palavras-chave: Correspondência; imprensa periódica; feminismo; Brasil; Portugal; Goa.Abstract: This article studies and describes some of the letters that are part of the Espólio Osório de Castro (N12) and the Fundo da Federação Brasileira para o Progresso Feminino (BR RJANRIO Q0) in order to map the formation of a transnational intellectual network. The feminist activist and Goan teacher Maria Ermelinda dos Stuarts Gomes (1889-1937) and the Portuguese feminist activist and writer Ana de Castro Osório (1872-1933) are part of such a network. By analyzing their letters and their action in the feminist associations, we can observe the prevalence of an emancipatory ideal guided by the civilizing mission, which Françoise Vergès (2020) calls civilizing feminism. The strategies they adopted to propagate these ideas were put into action by mobilizing an intellectual network of women and culminated in the authors publishing their texts beyond national borders, which is reflected in their writings in the periodical press from Brazil, Portugal, and Goa, in India.Keywords: Correspondence; Periodical Press; Feminism; Brazil; Portugal; Goa.
ЕЛЕКТРОПРОВІДНІСТЬ НАДГРАТОК У НАПІВПРОВІДНИКОВИХ СТРУКТУРАХ В ПАРАХ ТЕРТЯ ГАЛЬМ
Authors: Вольченко Дмитро , Кіндрачук Мирослав , Нікіпчук  Сергій , Савчин  Ярослав , Болонний  Василь 
Published: November 2022

Наведено фізику багатошарових напівпровідникових мікроструктур так званих надграток, що знайшли важливе застосування в металевих фрикційних елементах гальмівних пристроїв. У стрічково-колодкових гальмах бурових лебідок надгратки обода шківа фрикційно взаємодіють з полімерною накладкою ФК-24А. Товщина надграткового напівпровідникового матеріала AlSiNi знаходиться в тілі обода шківа з постійною величиною ширини забороненої зони і перемінної його товщини через дію на них механічного, електричного і теплового полів. Кремній (Si), що знаходиться між матеріалами алюмінієм (Al) і нікелем (Ni) виступає в ролі теплоізолятора, і тим самим сприяє квазівирівнюванню енергонавантаженості поверхневих шарів обода шківа. При цьому знижується блукаючий електротепловий потенціал. При об'ємній температурі 350°С кремній починає пропускати теплоту нікелю. Останній маючи високий коефіцієнт теплопровідності, у свою чергу віддає теплоту шарам обода (сталі 35ХНЛ) шківа. Такий стан верхніх шарів обода шківа гальм дозволяє покращити експлуатаційні параметри його пар тертя. Ефект теплопровідності надграток у напівпровідникових структурах у парах тертя гальм базується на інтенсифікації рухливості в них зарядів Незвичайні електронні властивості легованих надграток випливають із специфічного характеру надграткового потенціалу, який у цьому випадку є потенціалом іонізованих домішок у легованих шарах. Потенціал об'ємного заряду в легованих надгратках модулює краї зон вихідного матеріалу таким чином, що електрони та дірки виявляються просторово розділеними. Відповідним вибором параметрів структури (рівнів легування та товщини шарів) цей поділ можна зробити практично повним.
ДОСЛІДЖЕННЯ ВПЛИВУ КОРИГУВАННЯ ЗУБІВ ЦИЛІНДРИЧНИХ КОСОЗУБИХ МЕТАЛОПОЛІМЕРНИХ ПЕРЕДАЧ НА НЕСУЧУ ЗДАТНІСТЬ ТА ДОВГОВІЧНІСТЬ: ЧАСТ. 2. ДОВГОВІЧНІСТЬ ПЕРЕДАЧ
Authors: Чернець Мирон , Корнієнко Анатолій , Чернець Юрій 
Published: November 2022

Згідно авторського методу розрахунку металевих і металополімерних зубчастих передач проведено дослідження впливу висотного коригування зачеплення циліндричних косозубих передач на довговічність. При різних кутах нахилу зубів і коефіцієнтах коригування зубів проведено оцінку довговічності металополімерних передач з колесом з двох видів поліамідів. Встановлено кількісні і якісні закономірності впливу обох чинників на мінімальну довговічність з урахуванням парності зачеплення зубів. Встановлено, що у передачі з колесом з поліамідного композиту РА6+30CF довговічність буде до 2.4 рази вищою, ніж з ненаповненого поліаміду РА6 і не залежатиме від величини коефіцієнтів коригування зубів. На довговічність передачі суттєво впливають як коригування зачеплення, так і кут нахилу зубів. Отримано кількісні і якісні закономірності цього впливу. Встановлено наявність оптимуму коефіцієнтів коригування зубів, при якому довговічність передачі буде найвищою.