cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Understanding HIV/AIDS knowledge deprivation among Bangladeshi women: A multidimensional approach
Creators: name: Piu, Zobaida Ahmed
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Background: While global cases of Human Immunodeficiency Virus (HIV) have decreased in recent years, the incidence of Acquired Immunodeficiency Syndrome (AIDS) is increasing in Bangladesh, and women are more susceptible to it. An equitable knowledge about this disease plays a crucial role in the successful prevention of HIV/AIDS. Despite an evident inequality in the existing knowledge and awareness of HIV/AIDS, the extent of the inequality and the responsible factors have not been investigated in the context of Bangladesh before. Objective: This study aims to quantify the level of knowledge deprivation about HIV/AIDS and explore the existing socioeconomic class-based inequality in that knowledge. Data: Data for the study was extracted from 2011 and 2014 Bangladesh Demographic and Health Survey, which collected information on ever-married women of Bangladesh. Methods: The study constructed a multidimensional knowledge deprivation score using the information on eleven HIV/AIDS-knowledge questions from four domains (prevention, transmission, misconception and practical knowledge) employing the Rasch model. Ranking the score into three categories, the determinants of HIV/AIDS knowledge deprivation were analysed using a partial proportional ordered logistic regression analysis. Concentration indices and decomposition techniques were applied to investigate the extent and drivers of HIV/AIDS-related knowledge inequality. Results: The results suggest that knowledge deprivation about HIV/AIDS increased from 2011 to 2014, and it was mostly concentrated among poorer women. Decomposition analysis demonstrated that education, exposure to media, and empowerment beliefs accounted for a substantial share of overall inequality in HIV/AIDS-related knowledge. Interestingly, higher age at first marriage reduced HIV/AIDS knowledge deprivation significantly in both survey years. Conclusion: The findings of this study highlight the importance of female education in spreading the knowledge and awareness of HIV/AIDS in Bangladesh. Specifically, the education-oriented programs which clearly elucidate the rights of women should be prioritised. Regular exposure to mass media should be ensured. Additionally, stringent policy enforcement to prevent early marriage is necessary for better control of HIV/AIDS in Bangladesh.
On the history of Lie brackets, crossed modules, and Lie-Rinehart algebras
Creators: name: Huebschmann, Johannes
Publisher: name: arXiv
Year: 2022
Subjects: subject: History and Overview (math.HO)
subject: Algebraic Topology (math.AT)
subject: Differential Geometry (math.DG)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 01A60, 17B66, 18G45 (Primary) 12G05, 12H05, 17-03, 17B55, 20J05, 53-03, 53D17, 55Q15, 58H05 (Secondary)

description: The aim here is to sketch the development of ideas related to brackets and similar concepts: Some purely group theoretical combinatorics due to Ph. Hall led to a proof of the Jacobi identity for the Whitehead product in homotopy theory. Whitehead introduced crossed modules to characterize a second relative homotopy group; guided by combinatorial group theory considerations, Reidemeister and Peiffer explored this kind of structure to develop normal forms for the decomposition of a 3-manifold; but crossed modules are also lurking behind a forgotten approach of Turing to the extension problem for groups: Turing concocted the obstruction 3-cocycle isolated later by Eilenberg-Mac Lane and already proved the Eilenberg-Mac Lane theorem to the effect that the vanishing of the class of that cocycle is equivalent to the existence of a solution for the corresponding extension problem. This Turing cocycle is related to what has come to be known as Teichmueller cocycle. There was a parallel development for Lie algebras including a forgotten paper by Goldberg and, likewise, for Lie-Rinehart algebras and Lie algebroids. Versions of Turing's theorem were discovered several times under such circumstances, and there is rarely a hint at the mutual relationship. Also, Lie-Rinehart algebras have for long occurred in the literature on differential algebra, at least implicitly.
description: This is a pre-print version of an article published in [J. Geom. Mech. 13 (2021), 385-402] [https://doi.org/10.3934/jgm.2021009]. This version is free to download for private research and study only. Not for redistribution, re-sale or use in derivative works
Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs
Creators: name: Alahmed, Ahmed S.
name: Tong, Lang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: Econometrics (econ.EM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Economics and business

description: The rapid growth of the behind-the-meter (BTM) distributed generation has led to initiatives to reform the net energy metering (NEM) policies to address pressing concerns of rising electricity bills, fairness of cost allocation, and the long-term growth of distributed energy resources. This article presents an analytical framework for the optimal prosumer consumption decision using an inclusive NEM X tariff model that covers existing and proposed NEM tariff designs. The structure of the optimal consumption policy lends itself to near closed-form optimal solutions suitable for practical energy management systems that are responsive to stochastic BTM generation and dynamic pricing. The short and long-run performance of NEM and feed-in tariffs (FiT) are considered under a sequential rate-setting decision process. Also presented are numerical results that characterize social welfare distributions, cross-subsidies, and long-run solar adoption performance for selected NEM and FiT policy designs.
description: 20 pages, 11 figures, 6 tables
Family history of diabetes mellitus and long-term endocrine morbidity of the offspring
Creators: name: Alon, Yuval
name: Wainstock, Tamar
name: Sheiner, Eyal
name: Pariente, Gali
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Background: Little is known regarding the long-term outcomes of offsprings to non-diabetic mothers with family history of diabetes mellitus (FHDM). Objective: The aim of the study was to determine whether being born to a non-diabetic mother with FHDM increases the risk for long-term endocrine morbidity. Methods: This is a population-based cohort study, comparing long-term endocrine morbidity between offspring born to non-diabetic mothers with and without FHDM. The Kaplan–Meier survival curve was used to compare cumulative morbidity incidence. Cox proportional hazards model was performed to control for confounders. Results: During the study period, 208,728 children met the inclusion criteria. Using a Kaplan–Meier survival curve, offspring born to non-diabetic mothers with a FHDM had higher cumulative incidence of endocrine morbidity compared to their counterparts without FHDM (Log rank test p = .014). Using a Cox model, controlling for confounders, being born to a non-diabetic mother with FHDM was an independent risk factor for long-term endocrine morbidity of the offspring (adjusted HR = 1.24, 95%CI 1.001–1.54; p = .043). Conclusion: Being born to a non-diabetic mother with a FHDM is independently associated with higher risk for long-term endocrine morbidity of the offspring.
Additional file 1 of Donor notification of permanent deferral: a qualitative study on the perceptions and practices of notifier and blood donor in Mexico
Creators: name: Serrano-Delgado, V Moisés
name: Valdez-Martínez, Edith
name: Márquez-González, Horacio
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1. Outline of the topic guide.
Low Power Neuromorphic EMG Gesture Classification
Creators: name: Bezugam, Sai Sukruth
name: Shaban, Ahmed
name: Suri, Manan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Hardware Architecture (cs.AR)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Human-Computer Interaction (cs.HC)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: EMG (Electromyograph) signal based gesture recognition can prove vital for applications such as smart wearables and bio-medical neuro-prosthetic control. Spiking Neural Networks (SNNs) are promising for low-power, real-time EMG gesture recognition, owing to their inherent spike/event driven spatio-temporal dynamics. In literature, there are limited demonstrations of neuromorphic hardware implementation (at full chip/board/system scale) for EMG gesture classification. Moreover, most literature attempts exploit primitive SNNs based on LIF (Leaky Integrate and Fire) neurons. In this work, we address the aforementioned gaps with following key contributions: (1) Low-power, high accuracy demonstration of EMG-signal based gesture recognition using neuromorphic Recurrent Spiking Neural Networks (RSNN). In particular, we propose a multi-time scale recurrent neuromorphic system based on special double-exponential adaptive threshold (DEXAT) neurons. Our network achieves state-of-the-art classification accuracy (90%) while using ~53% lesser neurons than best reported prior art on Roshambo EMG dataset. (2) A new multi-channel spike encoder scheme for efficient processing of real-valued EMG data on neuromorphic systems. (3) Unique multi-compartment methodology to implement complex adaptive neurons on Intel's dedicated neuromorphic Loihi chip is shown. (4) RSNN implementation on Loihi (Nahuku 32) achieves significant energy/latency benefits of ~983X/19X compared to GPU for batch size as 50.
description: 3 Pages, 5 figures, 1 table
Uniform in Time Convergence to Bose-Einstein Condensation for a Weakly Interacting Bose Gas with an External Potential
Creators: name: Dietze, Charlotte
name: Lee, Jinyeop
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 81V73, 35Q55, 81V70

description: We consider a gas of weakly interacting bosons in three dimensions subject to an external potential in the mean field regime. Assuming that the initial state of our system is a product state, we show that in the trace topology of one-body density matrices, the dynamics of the system can be described by the solution to the corresponding Hartree type equation. Using a dispersive estimate for the Hartree type equation, we obtain an error term that is uniform in time. Moreover, the dependence of the error term on the particle number is optimal. We also consider a class of intermediate regimes between the mean field regime and the Gross-Pitaevskii regime, where the error term is uniform in time but not optimal in the number of particles.
Knowledge of PCOS in physicians-in-training: identifying gaps and educational opportunities
Creators: name: Chemerinski, Anat
name: Cooney, Laura
name: Shah, Divya
name: Butts, Samantha
name: Gibson-Helm, Melanie
name: Dokras, Anuja
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in reproductive-aged women. A recent study found that many obstetrics and gynecology (ObGyn) practicing physicians are unaware of the Rotterdam criteria recommended for diagnosis. Our objective was to identify gaps in trainee knowledge of PCOS diagnostic criteria and management. An online survey was sent out to US ObGyn physicians-in-training in 2018. The primary outcomes were identification of at least one component of each Rotterdam criteria (Rot-3): (1) oligomenorrhea/amenorrhea, (2) clinical or biochemical hyperandrogenism, and (3) ovarian volume or antral follicle count, and identification of all five components (Rot-5). Secondary outcomes were identification of comorbidities and management of PCOS. Multivariable logistic regression was used controlling for gender, seniority (PGY) status, program type, completion of an REI rotation, and number of PCOS patients seen. 85.4% of 347 trainees completing the survey reported using Rotterdam criteria to diagnose PCOS. However, only 55% identified Rot-3 and less than 10% identified Rot-5. Seniority (PGY4 OR 2.2; 95% CI: 1.2–4.1; p = .01) and completion of REI rotation (OR 1.8 95% CI: 1.2, 1.8; p = .006) were associated with identifying Rot-3. Similar findings were noted with identifying Rot-5. Our study identified significant gaps in knowledge regarding PCOS, suggesting an urgent need for improving strategies for trainee education to increase patient satisfaction and provide comprehensive care.
Chemistry-specific Data Management Plan Template based on DFG checklist
Creators: name: Hausen, Daniela Adele
name: Andres, Ann-Christin
Publisher: name: Zenodo
Year: 2024

description: Die vorliegende Datenmanagementplanvorlage ist aus einer Arbeitsgruppe innerhalb des Konsortiums NFDI4Chem entstanden und basiert auf der Checkliste der Deutschen Forschungsgemeinschaft (DFG). Die Checkliste wurde mit chemie-spezifischen Details angereichert und soll so die Chemikerinnen und Chemiker bei den Fragen des Datenmanagements unterstützen. Im Fokus der Anpassungen standen dabei die Antworten, die größtenteils von Freitextantworten zu Antwortoptionen umgewandelt wurden, sowie auf der Erstellung von Hilfetexten. Die Fragen wurden wie in der Checkliste beibehalten.

 

Neben der hier veröffentlichten Word- und pdf-Version bietet NFDI4Chem auch eine Version für den Research Data Management Organiser (RDMO) an. Unter RDMO4Chem wird die Vorlage zur Verfügung gestellt und kann dort kollaborativ bearbeitet werden. Aufgrund der Struktur von RDMO musste die Reihenfolge einzelner Fragen getauscht werden und die Eingangsfrage "Um was für einen Datensatz handelt es sich?" war notwendig, was den Inhalt aber nicht beeinflußt. Das Arbeiten mit RDMO erlaubt Ihnen die Zusammenarbeit mit Projektpartnern und Kollegen und hilft Ihnen durch die Datensetstruktur sich frühzeitig Gedanken zu machen, wie Ihre Daten zusammenhängen und organisiert werden können.Eine Bearbeitung von DMP-Vorlagen in RDMO ist auf grundsätzlich zu empfehlen, da es durch die Struktur den großen FDM-Berg aufbricht und in einzelne Fragenabschnitte unterteilt.

 

_________________

This data management plan template has been developed by a working group within the consortium NFDI4Chem and is based on the German Research Foundation (DFG) checklist. In order to assist chemists with data management issues, the checklist has been enriched with chemistry-specific information. The focus of the adaptations was to convert the free-text answers mostly into answer options and to create helping texts. The questions have been retained as in the checklist.

In addition to the Word and PDF versions published here, NFDI4Chem also provides a version for the Research Data Management Organiser (RDMO). The template will be made available at RDMO4Chem in May 2024 and can be collaboratively edited. Due to the structure of the RDMO, the order of the questions had to be slightly changed and the opening question "What kind of data set is it?" was necessary, but it does not affect the content. Working with the RDMO allows you to collaborate with project partners and colleagues, and helps you with the dataset structure to think at an early stage about how your data are related and can be organised. Processing DMP templates in RDMO is generally recommended, as its structure breaks up the large FDM mountain and divides it into individual question sections.
description: Funded by the German Research Foundation (DFG) Project number. 441958208 Research program: national research data infrastructure (NFDI)
Share of open access journal articles published by Berlin authors from 2018: data
Creators: name: Hampl, Martin
name: Finke, Pamela
name: Voigt, Michaela
Publisher: name: Technische Universität Berlin
Year: 2020
Subjects: subject: 020 Bibliotheks- und Informationswissenschaften
subject: open access monitoring
subject: Berlin
subject: gold open access
subject: green open access
subject: hybrid open access
subject: journal articles
subject: Publikationsanalyse
subject: Kennzahlen
subject: Zeitschriftenartikel

description: The publication output from nine research institutions from Berlin (Germany) was analysed and the share of open access for journal articles published in 2018 was determined. Journal articles whose authors are affiliated with at least one of the nine institutions were analysed. The data description includes: description of provided files and respective sheets, list of data fields and their source, data re-use cases. The data described here were retrieved from multiple bibliographic databases. Due to license terms raw data from individual databases cannot be provided for download. Data was aggregated, normalised and analysed with a Python script which is available at https://github.com/tuub/oa-eval (code documentation in English). For a detailed description of the retrieval process and the analysis steps see the report (https://doi.org/10.14279/depositonce-9606). Search queries and the respective download settings for these databases are included in the data file.
Phase field model for multi-material shape optimization of inextensible rods
Creators: name: Dondl, Patrick
name: Maione, Alberto
name: Wolff-Vorbeck, Steve
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 35Q74, 41A60, 49J45, 49Q10, 74B20, 74P10

description: We derive a model for the optimization of the bending and torsional rigidities of non-homogeneous elastic rods. This is achieved by studying a sharp interface shape optimization problem with perimeter penalization, that treats both rigidities as objectives. We then formulate a phase field approximation of the optimization problem and show the convergence to the aforementioned sharp interface model via $Γ$-convergence. In the final part of this work we numerically approximate minimizers of the phase field problem by using a steepest descent approach and relate the resulting optimal shapes to the development of the morphology of plant stems.
Achieving Social Optimality for Energy Communities via Dynamic NEM Pricing
Creators: name: Alahmed, Ahmed S.
name: Tong, Lang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: Theoretical Economics (econ.TH)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Economics and business
subject: FOS: Mathematics

description: We propose a social welfare maximizing mechanism for an energy community that aggregates individual and shared community resources under a general net energy metering (NEM) policy. Referred to as Dynamic NEM, the proposed mechanism adopts the standard NEM tariff model and sets NEM prices dynamically based on the total shared renewables within the community. We show that Dynamic NEM guarantees a higher benefit to each community member than possible outside the community. We further show that Dynamic NEM aligns the individual member's incentive with that of the overall community; each member optimizing individual surplus under Dynamic NEM results in maximum community's social welfare. Dynamic NEM is also shown to satisfy the cost-causation principle. Empirical studies using real data on a hypothetical energy community demonstrate the benefits to community members and grid operators.
description: 9 pages, 5 figures
Geschlechter-Geschichten. Zur Konstituierung des Politischen in der kleindeutschen Nationalhistoriographie
Creators: name: Kaduk, Svenja
Publisher: name: Universität Bielefeld
Year: 2020
Subjects: subject: 900

description: Gegenstand dieser Untersuchung ist die Konstituierung des Politischen in zentralen Texten der preußischen Nationalhistoriographie im 19. Jahrhundert. Geschichtsschreibung bedeutete insbesondere im Zeitalter des Historismus Gegenwartsbestimmung und Zukunftsorientierung. Vergegenwärtigte Vergangenheit vermittelte nicht nur eine Vorstellung von dem Woher einer Nation, sondern gab auch Antworten auf die Frage nach deren Wohin und dem dazu angebrachten Wie: Politisierung der Historie und Historisierung der Politik gingen Hand in Hand. Geschichtserzählungen erfüllten sinn- und identitätsstiftende Funktionen nicht nur bei der „Erfindung der Nation“1, sondern auch im Rahmen der politischen (Selbst)Verortung der (männlichen) Bürger im sich wandelnden Raum des Politischen. Sie trugen gleichzeitig zur Strukturierung und zur Umformung des politischen Raums bei. Die Arbeit untersucht die deutschsprachige Nationalhistoriographie des 19. Jahrhunderts diesbezüglich auf ihre sprachlich-narrativen Konstruktionsprinzipien. Dass die Kategorie Geschlecht als sinnstiftende Instanz bei der Konstruktion der jeweils als politisch oder unpolitisch entworfenen Entitäten wirksam wurde, ist eine erkenntnisleitende Arbeitshypothese.
Fighting Fakes on WhatsApp—Audience Perspectives on Fact Bots as Countermeasures
Creators: name: Frischlich, Lena
name: Klapproth, Johanna
name: Frank, Sara
name: Heckmann, Mara
name: Kunze, Susanne Elizabeth
name: Murgas, Thalía
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Science Policy

description: The messengerization of society and the rise of meso-communication spaces have created new opportunity structures for spreading misinformation. Countermeasures in this context must meet other privacy standards than, for instance, journalist fact-checking or community management on more public social media spaces. In this article, we are specifically interested in audience perspectives on fact-check delivering bots to counter misinformation thriving in meso spaces on instant messengers. Despite initial journalistic projects, there is scarce knowledge of audience perspectives on such fact bots in private and meso-spaces. The current study sought to fill this gap and describe the themes and beliefs characterizing instant messenger users’ considerations of fact bots. To this end, we conducted explorative qualitative interviews (N = 18) with a heterogeneous group of German instant messenger users. We identified four central themes in interviewees’ considerations of employing fact bots: questionable advantages in terms of ease, perceived usefulness for educating others, perceived injunctive norms between safety and privacy, and distrust towards information curators. We describe these themes using the technology acceptance model as an organizing framework. Overall, our study provides meaningful starting points for further research and practitioners fighting misinformation in the messengerized society with its increased digital meso spaces.
On Lie semiheaps and ternary principal bundles
Creators: name: Bruce, Andrew James
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 20N10, 22E15

description: We introduce the notion of a Lie semiheap as a smooth manifold equipped with a para-associative ternary product. For a particular class of Lie semiheaps we establish the existence of left-invariant vector fields. Furthermore, we show how such manifolds are related to Lie groups and establish the analogue of principal bundles in this ternary setting. In particular, we generalise the well-known `heapification' functor to the ambience of Lie groups and principal bundles.
description: 18 pages. Typos and editing artifacts were corrected, and the results of the paper are extended. The notion of left-invariant vector fields is now included. Comments are still welcomed
EURADOS Working Group 6, Computational Dosimetry, a history of promoting good practice via intercomparisons and training
Creators: name: Tanner, Rick
name: Agosteo, Stefano
name: Rabus, Hans
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: This paper is the editorial of a special issue of Radiation Measurements on EURADOS intercomparisons in computational dosimetry. The articles in this special issue cover complex problems in terms of geometry, particle types, energy ranges, coupled calculations and also scale, with the possibility of performing Monte Carlo calculations on micro and nano dosimetric scales now feasible. A summary of the exercises is provided in the first article of the Special Issue, which presents the findings and common conclusions from the ten articles reporting the results of the different exercises. One of these issues was the correct assessment of bone marrow dose, which prompted the inclusion of an article in this special issue explaining the ICRP-recommended method for bone marrow dosimetry.
description: 5 pages
Additional file 1 of Patients’ and relatives’ perspectives on best possible care in the context of developing a multidisciplinary center for endometriosis and adenomyosis: findings from a national survey
Creators: name: Omtvedt, Marianne
name: Bean, Elisabeth
name: Hald, Kirsten
name: Larby, Elisabeth Raasholm
name: Majak, Guri B.
name: Tellum, Tina
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Cancer
Science Policy

description: Additional file 1. Supplementary tables with results from questions about waiting time from referral, involvement of relatives, information types and the need for consultations with a sex therapist and a physiotherapist, and results from open-text questions about how to give patients and relatives an active role, involvement in a joint treatment decision, what patients and their relatives have missed the most with regards to follow-up or treatment and expectations to an endometriosis center.
ASQAD MUXTOR ASARLARIDA ANIQ HAMDA TABIIY FANLAR TERMINLARINING BADIIY USLUBGA XOSLANISHI.
Creators: name: Akbarova, Xolisxon
Publisher: name: Zenodo
Year: 2024

description: Ilmiy terminlar badiiy nutqda ham qo‘llanilib, ilmiylik ma’nosidan tashqari estetik vazifa ham bajarib keladi. Aniq hamda tabiiy fanlar tarkibidagi terminlar ham shunday vazifa bajara oladi.
Additional file 2 of Patients’ and relatives’ perspectives on best possible care in the context of developing a multidisciplinary center for endometriosis and adenomyosis: findings from a national survey
Creators: name: Omtvedt, Marianne
name: Bean, Elisabeth
name: Hald, Kirsten
name: Larby, Elisabeth Raasholm
name: Majak, Guri B.
name: Tellum, Tina
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Cancer
Science Policy

description: Additional file 2. Survey "The users' perspectives on best possible care in the context of developing a center for endometriosis and adenomyosis". English version.
What Explains the Spread of Misinformation in Online Personal Messaging Networks? Exploring the Role of Conflict Avoidance
Creators: name: Chadwick, Andrew
name: Vaccari, Cristian
name: Hall, Natalie-Anne
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Mental Health

description: Online personal messaging platforms such as WhatsApp and Facebook Messenger are now hugely popular around the world. Yet their role in the spread and social correction of misinformation remains under-researched. We carried out in-depth, semi-structured interviews with the UK public (N = 102) to explore how social relationships and technological design interact and foster norms regulating how people respond when their everyday social ties share misinformation on these platforms. Conceptualizing messaging as hybrid public-interpersonal communication, we develop a framework that situates online political talk in the context of everyday social interaction. We show that, among our participants, a norm of conflict avoidance is particularly powerful on these platforms and makes people reluctant to speak out. Conflict avoidance should therefore be taken seriously as a contributor to the diffusion of misinformation in everyday life. Policymakers and other stakeholders, including news organizations, should explore new, tailored ways to empower citizens to challenge misinformation in these important online spaces, where automated and algorithmic interventions are impossible.
The complex hyperbolic form as a Weil-Petersson form
Creators: name: Wang, Xiangsheng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57M50, 32G15, 58G30, 58F05

description: For the moduli space of the punctured spheres, we find a new equality between two symplectic forms defined on it. Namely, by treating the elements of this moduli space as the singular Euclidean metrics on a sphere, we give an interpretation of the complex hyperbolic form, i.e. the Kähler form of the complex hyperbolic structure on the moduli space, as a kind of Weil-Petersson form.
description: v2, 29 pages. Final, various minor improvements according to referee's comment, to appear in Commun. Contemp. Math., the numbering of sections may be different from the published paper
Cosine polynomials with restrictions on their algebraic representation
Creators: name: Oganesyan, Kristina
Publisher: name: arXiv
Year: 2022
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We prove that for any even algebraic polynomial $p$ one can find a cosine polynomial with an arbitrary small $l_1$-norm of coefficients such that the first coefficients of its representation as an algebraic polynomial in $\cos x$ coincide with those of $p$.
description: 17 pages
Using Facebook Messenger versus Groups for News Engagement
Creators: name: Murray, Caroline
name: Riedl, Martin J.
name: Stroud, Natalie J.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: For online news organizations trying to improve audience engagement strategies, Facebook Groups and Messenger chats constitute promising avenues. We explore whether these meso news-spaces, with different discourse architectures and group sizes, affect the substance of the discussion and people’s impressions. In this study, we experimentally tested how training and intimate forms of news engagement in small-group discussions on Facebook Messenger compare with larger conversations in a Facebook Group. The study draws from a real-world experiment in collaboration with Vox Media and its popular Facebook Group for the political podcast The Weeds. Results show that participants perceive the Messenger group as more civil and respectful and report being less prone to self-censor in the Messenger group. Comments in the Messenger group, however, are less relevant to The Weeds podcast and participation in the Messenger group leads people to have less favorable views of the large Facebook Group. The ways in which discourse architecture and group size affect digital discussions provide theoretical and practical insights.
Additional file 1 of Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
Creators: name: Mahata, Chandreswar
name: Ismail, Muhammad
name: Kang, Myounggon
name: Kim, Sungjun
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Supporting information.
Communication Guideline
Network
Visual Arts Artists
Chanthaburi Province
Creators: name: Muanfun Kongsomsawaeng
Publisher: name: Faculty of Painting, Sculpture and Graphic Arts
Year: 2024
Subjects: Communication Guideline
Network
Visual Arts Artists
Chanthaburi Province

description: Silpa Bhirasri (Journal of Fine Arts), 12, 1, 1-24
Effective Heat Transfer Between a Porous Medium and a Fluid Layer: Homogenization and Simulation
Creators: name: Eden, Michael
name: Freudenberg, Tom
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 80M40, 35B27, 65N30, 80A19, 76S05

description: We are investigating the effective heat transfer in complex systems involving porous media and surrounding fluid layers in the context of mathematical homogenization. We differentiate between two fundamentally different cases: Case (a), where the solid part of the porous media is assumed to consist of disconnected inclusions and Case (b), where the solid matrix is assumed to be connected. For both scenarios, we consider a heat equation with convection where a small scale parameter epsilon characterizes the heterogeneity of the porous medium and conduct a limit process via two-scale convergence for the solutions of the epsilon-problems. In Case (a), we arrive at a one-temperature problem exhibiting a memory term and, in Case (b), at a two-phase mixture model. We compare and discuss these two limit models with several simulation studies both with and without convection.
description: 35pages, 7 figures, 3 tables
Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects
Creators: name: Santos, Jadson
name: da Costa, Daniel Alencar
name: Kulesza, Uirá
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Background: Much research has been conducted to investigate the impact of Continuous Integration (CI) on the productivity and quality of open-source projects. Most of studies have analyzed the impact of adopting a CI server service (e.g, Travis-CI) but did not analyze CI sub-practices. Aims: We aim to evaluate the impact of five CI sub-practices with respect to the productivity and quality of GitHub open-source projects. Method: We collect CI sub-practices of 90 relevant open-source projects for a period of 2 years. We use regression models to analyze whether projects upholding the CI sub-practices are more productive and/or generate fewer bugs. We also perform a qualitative document analysis to understand whether CI best practices are related to a higher quality of projects. Results: Our findings reveal a correlation between the Build Activity and Commit Activity sub-practices and the number of merged pull requests. We also observe a correlation between the Build Activity, Build Health and Time to Fix Broken Builds sub-practices and number of bug-related issues. The qualitative analysis reveals that projects with the best values for CI sub-practices face fewer CI-related problems compared to projects that exhibit the worst values for CI sub-practices. Conclusions: We recommend that projects should strive to uphold the several CI sub-practices as they can impact in the productivity and quality of projects.
description: Paper accepted for publication by The ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
Stress tensors of 3d Carroll CFTs
Creators: name: Dutta, Sudipta
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We discuss kinematical features of conformal Carroll field theories in three dimensions (3d). Conformal extension of Carroll algebra is infinite dimensional even in 3d unlike its relativistic counterpart, and hence 3d Carroll CFTs share similarities with 2d CFT. We provide a construction for the conserved charges for Carrollian CFTs and an expression for stress tensor OPEs consistent with the algebra of charges. We discuss a free field model where these symmetries are realised and explicitly compute the OPEs verifying our construction. In addition we comment on the possibility of extending the conformal symmetries to diffeomorphisms of spatial slice for these Carrollian theories.
description: 22 pages
title: Poroid hidradenoma of the palm
Creators: name: Iglesias, Gotzon
Publisher: name: EURORAD
Year: 2024
Subjects: subject: Musculoskeletal system
subject: Musculoskeletal soft tissue
subject: MR
subject: Ultrasound
subject: Clinical Case

description: Clinical History: We present the case of a 59-year-old female patient who had a tumour in the palm of her hand after several months of evolution. The mass was painless, showing slow growth during the last month.

description: 59 years, female
Additional file 1 of Impact of the ‘Healthy Youngsters, Healthy Dads’ program on physical activity and other health behaviours: a randomised controlled trial involving fathers and their preschool-aged children
Creators: name: Morgan, Philip J.
name: Grounds, Jacqueline A.
name: Ashton, Lee M.
name: Collins, Clare E.
name: Barnes, Alyce T.
name: Pollock, Emma R.
name: Kennedy, Stevie-Lee
name: Rayward, Anna T.
name: Saunders, Kristen L.
name: Drew, Ryan J.
name: Young, Myles D.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Supplementary Table 1. Description of intervention components in the ‘Healthy Youngsters, Healthy Dads’ program. Supplementary Table 2. Changes in primary and secondary outcomes for study participants (per-protocol). Supplementary Table 3. Changes in primary and secondary outcomes for study participants (completers). Supplementary Table 4. Facilitator reflections and fidelity findings.
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads
Creators: name: Portella, Felipe Albuquerque
name: Prats, David Buchaca
name: Rodrigues, José Roberto Pereira
name: Berral, Josep Lluís
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Artificial Intelligence (cs.AI)
subject: Performance (cs.PF)
subject: FOS: Computer and information sciences
subject: J.2; C.4; I.2

description: Reservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical parameters plays a vital role as it could save considerable computational efforts. State-of-the-art optimization techniques are based on running numerous simulations, specific for that purpose, to find good parameter candidates. However, using such an approach is highly costly in terms of time and computing resources. This work presents TunaOil, a new methodology to enhance the search for optimal numerical parameters of reservoir flow simulations using a performance model. In the O&G industry, it is common to use ensembles of models in different workflows to reduce the uncertainty associated with forecasting O&G production. We leverage the runs of those ensembles in such workflows to extract information from each simulation and optimize the numerical parameters in their subsequent runs. To validate the methodology, we implemented it in a history matching (HM) process that uses a Kalman filter algorithm to adjust an ensemble of reservoir models to match the observed data from the real field. We mine past execution logs from many simulations with different numerical configurations and build a machine learning model based on extracted features from the data. These features include properties of the reservoir models themselves, such as the number of active cells, to statistics of the simulation's behavior, such as the number of iterations of the linear solver. A sampling technique is used to query the oracle to find the numerical parameters that can reduce the elapsed time without significantly impacting the quality of the results. Our experiments show that the predictions can improve the overall HM workflow runtime on average by 31%.
description: 21 pages, 9 figures. Preprint submitted to Journal of Computational Science
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Creators: name: Han, Jiayi
name: Zeng, Longbin
name: Du, Liang
name: Ding, Weiyang
name: Feng, Jianfeng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this work, we propose a novel complementary learning approach to enhance test-time adaptation (TTA), which has been proven to exhibit good performance on testing data with distribution shifts such as corruptions. In test-time adaptation tasks, information from the source domain is typically unavailable and the model has to be optimized without supervision for test-time samples. Hence, usual methods assign labels for unannotated data with the prediction by a well-trained source model in an unsupervised learning framework. Previous studies have employed unsupervised objectives, such as the entropy of model predictions, as optimization targets to effectively learn features for test-time samples. However, the performance of the model is easily compromised by the quality of pseudo-labels, since inaccuracies in pseudo-labels introduce noise to the model. Therefore, we propose to leverage the "less probable categories" to decrease the risk of incorrect pseudo-labeling. The complementary label is introduced to designate these categories. We highlight that the risk function of complementary labels agrees with their Vanilla loss formula under the conventional true label distribution. Experiments show that the proposed learning algorithm achieves state-of-the-art performance on different datasets and experiment settings.
The congruence speed formula
Creators: name: Ripà, Marco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11A07, 11N13

description: We solve a few open problems related to a peculiar property of the integer tetration ${^{b}a}$, which is the constancy of its congruence speed for any sufficiently large $b=b(a)$. Assuming radix-$10$ (the well-known decimal numeral system), we provide an explicit formula for the congruence speed $V(a) \in \mathbb{N}_0$ of any $a \in \mathbb{N}-\{0\}$ that is not a multiple of $10$. In particular, for any given $n \in \mathbb{N}$, we prove to be true Ripà's conjecture on the smallest $a$ such that $V(a)=n$. Moreover, for any $a \neq 1 : a \not\equiv 0 \pmod {10}$, we show the existence of infinitely many prime numbers $p_j:=p_j(V(a))$ such that $V(p_j)=V(a)$.
description: 19 pages, 2 tables
Hygropoda gracilis Thorell 1891, comb. nov.
Creators: name: Jäger, Peter
Publisher: name: Zenodo
Year: 2011
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Pisauridae
Hygropoda
Hygropoda gracilis

description: Hygropoda gracilis (Thorell 1891) comb. nov.
Dendrolycosa gracilis Thorell 1891: 63 (description of subadult female; 1 subadult female syntype and 1 juvenile syntype, Nicobar Islands, Kamorta Island, Galathea-Expedition, ZMUC 0 0 0 13083, examined).
From both syntypes and their body shape is clear that the species belongs to the genus Hygropoda. It is transferred here formally, although no statements on its identity within this genus can be made, since both type specimens available are immature. Thorell (1891) mentions an adult female specimen, which could not be located. In the course of checking original descriptions, the incorrect placement of two additional species was recognised. Although those taxa were not the direct focus of this work, the transfers are provided below.
description: Published as part of Jäger, Peter, 2011, Revision of the spider genera Nilus O. Pickard-Cambridge 1876, Sphedanus Thorell 1877 and Dendrolycosa Doleschall 1859 (Araneae: Pisauridae), pp. 1-38 in Zootaxa 3046 on page 36, DOI: 10.5281/zenodo.278844
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns
Creators: name: Linåker, Johan
name: Rempel, Patrick
name: Regnell, Björn
name: Mäder, Patrick
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: [Context and motivation] Ecosystems developed as Open Source Software (OSS) are considered to be highly innovative and reactive to new market trends due to their openness and wide-ranging contributor base. Participation in OSS often implies opening up of the software development process and exposure towards new stakeholders. [Question/Problem] Firms considering to engage in such an environment should carefully consider potential opportunities and challenges upfront. The openness may lead to higher innovation potential but also to frictional losses for engaged firms. Further, as an ecosystem progresses, power structures and influence on feature selection may fluctuate accordingly. [Principal ideas/results] We analyze the Apache Hadoop ecosystem in a quantitative longitudinal case study to investigate changing stakeholder influence and collaboration patterns. Further, we investigate how its innovation and time-to-market evolve at the same time. [Contribution] Findings show collaborations between and influence shifting among rivaling and non-competing firms. Network analysis proves valuable on how an awareness of past, present and emerging stakeholders, in regards to power structure and collaborations may be created. Furthermore, the ecosystem's innovation and time-to-market show strong variations among the release history. Indications were also found that these characteristics are influenced by the way how stakeholders collaborate with each other.
Time and Space in Thai Mural Paintings: Case Studies of Wat Chong Nonsi and Wat Prasat
Creators: name: Chumpon Promjan
Publisher: name: Faculty of Painting, Sculpture and Graphic Arts
Year: 2024
Subjects: Space and Time
Mural Painting
Multi-Dimensions on a Single Plane
Wat Chong Nonsi
Wat Prasat

description: Silpa Bhirasri (Journal of Fine Arts), 12, 1, 53-96