bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Generative Model for Discovering Action-Based Roles and Community Role Compositions on Community Question Answering Platforms
Authors: Geigle Chase , Dev Himel , Sundaram Hari , Zhai ChengXiang 
Published: November 2022

This paper proposes a generative model for discovering user roles and community role compositions in Community Question Answering (CQA) platforms. While past research shows that participants play different roles in online communities, automatically discovering these roles and providing a summary of user behavior that is readily interpretable remains an important challenge. Furthermore, there has been relatively little insight into the distribution of these roles between communities. Does a community’s composition over user roles vary as a function of topic? How does it relate to the health of the underlying community? Does role composition evolve over time? The generative model proposed in this paper, the mixture of Dirichlet-multinomial mixtures (MDMM) behavior model can (1) automatically discover interpetable user roles (as probability distributions over atomic actions) directly from log data, and (2) uncover community-level role compositions to facilitate such cross-community studies.
A comprehensive experiment on all 161 non-meta communities on the StackExchange CQA platform demonstrates that our model can be useful for a wide variety of behavioral studies, and we highlight three empirical insights. First, we show interesting distinctions in question-asking behavior on StackExchange (where two distinct types of askers can be identified) and answering behavior (where two distinct roles surrounding answers emerge). Second, we find statistically significant differences in behavior compositions across topical groups of communities on StackExchange, and that those groups that have statistically significant differences in health metrics also have statistically significant differences in behavior compositions, suggesting a relationship between behavior composition and health. Finally, we show that the MDMM behavior model can be used to demonstrate similar but distinct evolutionary patterns between topical groups.
Event Detection and Tracking in Social Streams
Authors: Sayyadi Hassan , Hurst Matthew , Maykov Alexey 
Published: November 2022

Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and the graph of keywords for a document collection will contain clusters individual events. In this paper we build a network of keywords based on their co-occurrence in documents. We propose and develop a new event detection algorithm which creates a keyword graph and uses community detection methods analogous to those used for social network analysis to discover and describe events. Constellations of keywords describing an event may be used to find related articles. We also use the proposed algorithm to analyze events and track stories in social streams.
Information Diffusion in Computer Science Citation Networks
Authors: Shi Xiaolin , Tseng Belle , Adamic Lada 
Published: November 2022

The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we examine information diffusion in citation networks by analyzing the correlations between various citation choices and the subsequent impact of the articles. We find that citing recent papers and papers within the same scholarly community garners a slightly larger number of citations on average. However, this correlation is weaker among well-cited papers implying that for high impact work citing within one's field is of lesser importance.
Search in Social Tagging Systems Using Ontological User Profiles
Authors: Shepitsen Andriy , Tomuro Noriko 
Published: November 2022

In this paper we present a modified hierarchical agglomerative clustering algorithm for building tag ontologies for social tagging systems. The modified algorithm first uses a clustering algorithm called Domain Similarity Clustering By Committee (DSCBC) (Tomuro et al. 2007) to derive a set of tag committees. We apply DSCBC to the tags entered by the users of social tagging systems and derive (un-ambiguous) committees of tags. Using the committees, a tag ontology is constructed in which an ambiguous tag is separated into multiple, disambiguated tags/nodes. Then a tag profile of a given user is matched against the ontology, and an ontological profile of the user is created. Finally a preference vector is fed into the (modified) FolkRank algorithm (Hotho et al. 2006a), and the web resources ordered based on the user's preferences are returned. We run our system on the data from two social tagging systems and compare the results with other algorithms. The results showed our algorithm achieved marked improvements over other algorithms.
Factors Affecting End-User Satisfaction on Facebook
Authors: Sibona Christopher , Choi Jae Hoon 
Published: November 2022

This study predicts end-user satisfaction on Facebook through two constructs: perceived ease-of-use and perceived usefulness. Usefulness was operationalized to reflect the perception that the site is helpful for friendship maintenance and social surveillance. The results show that Facebook users perceive the site to be both easy-to-use and useful. Perceived ease-of-use and perceived usefulness were statistically significant predictors for satisfaction; the perceived usefulness of the site has a greater impact on satisfaction than perceived ease-of-use. Several control variables were included to adjust the results. Satisfaction is statistically significantly higher for users who have more friends and interact with more people compared to those who had fewer friends and fewer interactions. Satisfaction is not statistically different for males and females when accounting for users' perception of usefulness and ease-of-use. This study applies the IS success model developed for more utilitarian systems to a hedonic social network site.
The Tweets They Are a-Changin’: Evolution of Twitter Users and Behavior
Authors: Liu Yabing , Kliman-Silver Chloe , Mislove Alan 
Published: November 2022

The microblogging site Twitter is now one of the most popular Web destinations. Due to the relative ease of data access, there has been significant research based on Twitter data, ranging from measuring the spread of ideas through society to predicting the behavior of real-world phenomena such as the stock market. Unfortunately, relatively little work has studied the changes in the Twitter ecosystem itself; most research that uses Twitter data is typically based on a small time-window of data, generally ranging from a few weeks to a few months. Twitter is known to have evolved significantly since its founding, and it remains unclear whether prior results still hold, and whether the (often implicit) assumptions of proposed systems are still valid. In this paper, we take a first step towards answering these question by focusing on the evolution of Twitter's users and their behavior. Using a set of over 37 billion tweets spanning over seven years, we quantify how the users, their behavior, and the site as a whole have evolved. We observe and quantify a number of trends including the spread of Twitter across the globe, the rise of spam and malicious behavior, the rapid adoption of tweeting conventions, and the shift from desktop to mobile usage. Our results can be used to interpret and calibrate previous Twitter work, as well as to make future projections of the site as a whole.
Predicting User Replying Behavior on a Large Online Dating Site
Authors: Xia Peng , Jiang Hua , Wang Xiaodong , Chen Cindy , Liu Benyuan 
Published: November 2022

Online dating sites have become popular platforms for people to look for potential romantic partners. Many online dating sites provide recommendations on compatible partners based on their proprietary matching algorithms. It is important that not only the recommended dates match the user's preference or criteria, but also the recommended users are interested in the user and likely to reciprocate when contacted. The goal of this paper is to predict whether an initial contact message from a user will be replied to by the receiver. The study is based on a large scale real-world dataset obtained from a major dating site in China with more than sixty million registered users. We formulate our reply prediction as a link prediction problem of social networks and approach it using a machine learning framework. The availability of a large amount of user profile information and the bipartite nature of the dating network present unique opportunities and challenges to the reply prediction problem. We extract user-based features from user profiles and graph-based features from the bipartite dating network, apply them in a variety of classification algorithms, and compare the utility of the features and performance of the classifiers. Our results show that the user-based and graph-based features result in similar performance, and can be used to effectively predict the reciprocal links. Only a small performance gain is achieved when both feature sets are used. Among the five classifiers we considered, random forests method outperforms the other four algorithms (naive Bayes, logistic regression, KNN, and SVM). Our methods and results can provide valuable guidelines to the design and performance of recommendation engine for online dating sites.
SEEFT: Planned Social Event Discovery and Attribute Extraction by Fusing Twitter and Web Content
Authors: Wang Yu , Fink David , Agichtein Eugene 
Published: November 2022

Social events comprise some of the most popular topics in social media. Automatically identifying planned social events and extracting structured information, such as event title, date, and location, would enable more effective index, display and search for social events. However, the informal and noisy nature of language used in social media can degrade the quality of event extraction, resulting in broken titles, incorrect or absent attributes - making the resulting event databases not suitable for realistic applications. Previous work mostly focused on event identification and categorization in Twitter. Yet, event title extraction, arguably one of the most useful and difficult tasks in this domain, has never been investigated. In this paper, we address the task of identifying and extracting structured information (titles, dates, locations) for planned social events, and introduce SEEFT, a social event extraction system, which uses social media content to discover events. To extract the event title and other attributes, SEEFT fuses the original social media content and the content of other Tweets and webpages. Experiments over multiple popular event types and more than a thousand of event instances show that SEEFT significantly outperforms the previous state-of-the-art system in event identification. Moreover, by fusing information from multiple sources, SEEFT is able to extract event titles with high accuracy, providing the foundation for practical applications such as event discovery, search, and recommendation.
GAC for a Linear Inequality and an Atleast Constraint with an Application to Learning Simple Polynomials
Authors: Razakarison Naina , Carlsson Mats , Beldiceanu Nicolas , Simonis Helmut 
Published: November 2022

We provide a filtering algorithm achieving GAC for the conjunction of constraints atleast (b, [x(0),x(1),...,x(n-1)], V) and (a(0)*x(0) +...+ a(n-1)*x(n-1)) <= c, where the atleast constraint enforcesb variables out of x(0), x(1), ..., x(n-1) to be assigned to avalue in the set V. This work was motivated by learning simplepolynomials, i.e. finding the coefficients of polynomialsin several variables from example parameter and function values.We additionally require that coefficients be integers, andthat most coefficients be assigned to zero or integers close to0. These problems occur in the context of learning constraintmodels from sample solutions of different sizes. Experimentswith this more global filtering show an improvement by severalorders of magnitude compared to handling the constraintsin isolation or with cost gcc, while also out-performing a0/1 MIP model of the problem.
Quantitative determination of the N-glycoside derivative of substituted indolo[2,3a]carbazole in innovative dosage forms
Authors: Ignatieva E. V. , Yartseva I. V. , Shprakh Z. S. , Kolpaksidi A. P. , Dmitrieva M. V. , Lantsova A. V. , Nikolaeva L. L. , Prosalkova I. R. 
Published: November 2022

Background. A glycoside derivative of indolocarbazole LHS-1269, one of the new drugs selectively affecting tumors, which was first synthesized at the N.N. Blokhin National Medical-Research Center of Oncology of the Ministry of Health of Russia, is of particular scientific interest. Experimental studies demonstrated a multi-target mechanism of action of this compound. LHS-1269 interacts with several intracellular targets and induces various pathways of cell death. Several innovative models of the dosage forms were designed to achieve the highest antitumor activity of the compound and to perform further preclinical studies.Aim. To develop the methods for the quantitative determination of LHS-1269 in pharmaceutical compositions proposed as a result of the search for the optimal dosage form.Materials and methods. The study analyzed the spectrophotometric characteristics of LHS-1269 solutions in dimethylformamide, dimethylsulfoxide (DMSO) and in the mixture of solvents DMSO–ethyl alcohol, as well as electronic absorption spectra of the excipients in the mixture of solvents DMSO–ethyl alcohol. Spectrophotometric measurements were performed on a Cary 100 spectrophotometer (Varian, Inc., Australia) in the wavelength range from 200 to 500 nm. The standard sample is the substance LHS-1269 (N.N. Blokhin Oncology Research Center of the Ministry of Health of Russia).Results. The carried out studies showed that LHS-1269 solutions in dimethylformamide, DMSO and mixture of DMSO– ethyl alcohol are suitable for spectrophotometric measurements. Several variants of the methodology for the assay of LHS-1269 in various dosage form models that differ in the content of the active substance and the excipients composition have been developed: LHS-1269 concentrate for solution for injection and infusion; lyophilisate for solution for injection; liposomal lyophilisate for dispersion for injection.Conclusion. Techniques for the assay of LHS-1269 in dosage form models have been developed. It has been shown that the developed techniques are applicable for LHS-1269 quantitative determination in innovative dosage forms containing polymeric low molecular weightsolubilizers, lipids, cholesterol, mono- or oligosaccharides as excipients.
L’autodétermination : de la difficile naissance à l’impossible application du droit par les Nations Unies ?
Authors: Ouendo Akonassou Fleury 
Published: November 2022

Cette recherche fait une analyse historique de l’exercice du droit à l’autodétermination des peuples qui peut susciter moult réflexions au regard de certains cas d’expériences concrètes. Créées pour promouvoir la paix et le règlement pacifique des conflits entre États, les Nations Unies se retrouvent bien souvent impuissantes face aux conflits internes et tiraillés entre des principes contradictoires : le respect des droits de l’homme et la non-ingérence dans les affaires internes des États. Sans oublier l’opposition des États membres au sein de l’organisation qui empêche son action. Ces conflits internes entre un État et une partie de sa population qui revendique sa libre détermination débouchent alors bien souvent sur des guerres fratricides au bilan humain lourd.
ТРИБОЛОГІЧНА ПОВЕДІНКА ПОЛІМЕРНИХ МАТЕРІАЛІВ ДЛЯ ГІБРИДНИХ МЕТАЛОПОЛІМЕРНИХ ВУЗЛІВ СУХОГО ТЕРТЯ КОВЗАННЯ. ЧАСТ. 3. ПОЛІЕФІРЕФІРКЕТОНИ, ТЕРЕФТАЛАНИ
Authors: Чернець Мирон , Корнієнко Анатолій 
Published: November 2022

За методикою модельних трибоекспериментальних досліджень матеріалів при терті ковзання за схемою торцевого тертя визначено зносостійкість поліефірефіркетону РЕЕК та його композиту РЕЕК+30GF, терефталану етилену РЕТ та його композиту РЕТ+PTFE. Вони використовуються у металополімерних (МП) зубчастих передачах та підшипниках ковзання, що працюють в умовах сухого тертя ковзання. Встановлено їх індикатори зносостійкості, на основі яких визначено характеристики їх зносостійкості, як використовуються у розрахункових методах дослідження вказаних гібридних трибомеханічних систем За результатами досліджень побудовано діаграми зносостійкості цих полімерних матеріалів, як їх графічні індикатори зносостійкості у прийнятому діапазоні питомих сил тертя. Встановлено кількісні закономірності трибологічної поведінки вказаних полімерів у трибопарі зі сталлю 45. Наведено результати впливу навантаження на зміну коефіцієнтів тертя ковзання.
Morphodynamique Hydrique dans le Bassin Versant de Ogo (Nord-est du Sénégal): Mesure du Ruissellement et de L’érosion sur les Terres Agricoles à partir de Parcelles D’expérimentation
Authors: Dia Amadou Tidiane , Sougou Abdoulaye , Badiane Léopold Mouguabie , Guéye Amadou 
Published: November 2022

Le bassin versant de Ogo est touché par les aléas climatiques et fait face à des défis écologiques et environnementaux considérables (montée de la désertification). Les terres agricoles sont devenues de plus en plus fragiles du fait de l’érosion hydrique. Dans cet article, la morphodynamique hydrique est étudiée par des mesures de terrain à différents sites sur des parcelles d’expérimentation. Les mesures sur les parcelles d’érosion entre 2015 et 2017 ont montré une forte variabilité des taux de ruissellement et d’érosion entre les sites observés. Cette variabilité est liée à la pluviométrie et au type de sol. Les coefficients de ruissellement varient entre 0,8 et 0,25 sur les sites d’observation (Thiankone Hiraye, Mbélone et Danthiady). L’érosion sur les parcelles est estimée à 18,7 t/h en 2015, à 13,4 t/ha en 2016 et à 14,95 t/ha de pertes en terre en 2017.

The Ogo watershed is affected by climatic hazards and faces considerable ecological and environmental challenges (increasing desertification). Agricultural land has become increasingly fragile due to water erosion. In this paper, water morphodynamics is studied by field measurements at different sites on experimental plots. Measurements on erosion plots between 2015 and 2017 showed a high variability of runoff and erosion rates between the observed sites. This variability is related to rainfall and soil type. The runoff coefficients vary between 0.8 and 0.25 on the observation sites (Thiankone Hiraye, Mbélone and Danthiady). Erosion on the plots is estimated at 18.7 t/h in 2015, 13.4 t/ha in 2016 and 14.95 t/ha of soil loss in 2017.
Kedudukan Hukum Surat Pernyataan Pelepasan Hak Atas Tanah (SPH) sebagai Dasar Bukti Kepemilikan Hak atas Tanah [The Legal Standing of Release Deed of Right For Land (SPH) as the Basis for Proof of Ownership of Land Rights]
Authors: Putri Sanindia Septia Kisedi 
Published: November 2022

<p class="MsoNormal"><em>In Indonesia, many land statuses, particularly in rural areas, still lack land rights certificates.</em><em></em><em>It becomes one of the factors that causes many land disputes.</em><em></em><em>One of them is land that is still in the status of statement of land rights (SPH) which is considered to have a position that is as strong as evidence of certificate of land rights.</em><em></em><em>The key contributing cause is that the community is still perplexed about how to obtain confirmation of ownership of land rights, as well as the conditions and processes for obtaining it. Therefore, research is needed so that the legal position of SPPHAT as the basis for proof of ownership of land rights is clearer and can be understood by the community. This research was conducted in a normative juridical manner with a legal and conceptual approach. Based on the result, it is concluded that according to land law, land status with SPPHAT evidence is state land. Therefore, efforts to process land rights applications and land registration are still needed. So that a land certificate is issued as proof of ownership of the land</em><em>.</em></p><p align="left"><strong>Bahasa Indonesia Abstrak: </strong>Masih banyaknya status tanah di Indonesia yang belum memiliki sertipikat hak atas tanah khususnya di wilayah-wilayah pedesaan. Menjadi salah satu faktor memunculkan banyak sengketa tanah yang terjadi. Salah satunya tanah yang masih berstatus Surat Pernyataan pelepasan hak atas tanah (SPH) dianggap memiliki kedudukan yang sama kuatnya dengan bukti sertipikat hak atas tanah. Faktor penyebab utamanya adalah masih terdapat kebingungan di masyarakat perihal pengaturan terhadap bukti kepemilikan hak atas tanah dan syarat-syarat serta mekanisme untuk memperolehnya. Oleh karena itu diperlukan penelitian agar kedudukan hukum SPH sebagai dasar bukti kepemilikan hak atas tanah semakin jelas dan dapat dipahami oleh masyarakat. Penelitian ini dilakukan secara yuridis normatif dengan pendekatan undang-undang dan konseptual. Dari penelitian ini disimpulkan bahwa secara hukum pertanahan, status tanah dengan bukti SPPHAT merupakan tanah negara. Oleh karenanya, masih diperlukan upaya proses permohonan hak atas tanah dan pendaftaran tanah. Sehingga terbit sertifikat tanah sebagai bukti kepemilikan atas tanah.</p>
Combined Axillary Block with Spinal Block Anaesthesia
Authors: Radiansyah Arsil , Sitepu John Frans , Bisono Luwih 
Published: November 2022

<p><strong>Background: </strong>Patients undergoing upper limb trauma surgery have reported various benefits of regional anesthesia over general anesthesia, including better perioperative analgesia, less opiate use, less postoperative nausea and vomiting (PONV), and a shorter post-anesthesia care period. ……………………………..<br /> <strong>Case Illustration: </strong>We reported an evaluation of 72 years old, 165 cm height and 60 kg weight male patient who was planned for open reduction and internal fixation surgery for neglected left radius ulna close fracture and left neglected tibia fibula close fracture that he was beneath follow-up for hypertension (HT), and was using antihypertensive drugs. Preoperative risk of the patient was assessed as with American Society of Anesthesiologists (ASA) with score 3.General anesthesia would be unsafe due to geriatric issue, cardiovascular problem and delayed surgery term, we chosed to utilize combine axillary block with spinal block. we utilized USG guided infusion procedure in arrange to diminish local anesthetic dosage, and minimize error. During surgical procedure there is no hypotension, bradycardia or decreased oxygen saturation. Surgical anesthesia occurred in left hand within 20 minutes after drug delivery and 10 minutes in lower extremity. Surgery complications was not reported particularly related to vascular punction or adjacent anesthetic and nerve block applications. No complaint was detailed from the patient who was watched for 12 hours after the surgery.<strong></strong></p><p class="Default"><strong>Conclusion:</strong> Peripheral nerve block and neuraxial block, when utilized appropriately in combination, appear be able to supplant common anesthesia within the larger part of case.</p>