cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
sj-pdf-1-cjk-10.1177_20543581211030396 – Supplemental material for Re-Envisioning the Canadian Nephrology Trials Network: A Can-SOLVE-CKD Stakeholder Meeting of Patient Partners and Researchers
Creators: name: Murdoch, Alicia
name: Tennankore, Karthik K.
name: Bohm, Clara
name: Clase, Catherine M.
name: Levin, Adeera
name: Vorster, Hans
name: Suri, Rita S.
Publisher: name: SAGE Journals
Year: 2021
Subjects: Medicine

description: Supplemental material, sj-pdf-1-cjk-10.1177_20543581211030396 for Re-Envisioning the Canadian Nephrology Trials Network: A Can-SOLVE-CKD Stakeholder Meeting of Patient Partners and Researchers by Alicia Murdoch, Karthik K. Tennankore, Clara Bohm, Catherine M. Clase, Adeera Levin, Hans Vorster and Rita S. Suri in Canadian Journal of Kidney Health and Disease
Additional file 1 of Development of a low-dose fipronil deer feed: evaluation of efficacy against two medically important tick species parasitizing white-tailed deer (Odocoileus virginianus) under pen conditions
Creators: name: Poché, David M.
name: Wagner, Donald
name: Green, Kylie
name: Smith, Zachary
name: Hawthorne, Noah
name: Tseveenjav, Batchimeg
name: Poché, Richard M.
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 1. Table S1. Group specifics. Summary of the test group deer utilized during the pen study and fed fipronil deer feed (FDF) or a placebo deer feed.
Additional file 1 of DANCE: a deep learning library and benchmark platform for single-cell analysis
Creators: name: Ding, Jiayuan
name: Liu, Renming
name: Wen, Hongzhi
name: Tang, Wenzhuo
name: Li, Zhaoheng
name: Venegas, Julian
name: Su, Runze
name: Molho, Dylan
name: Jin, Wei
name: Wang, Yixin
name: Lu, Qiaolin
name: Li, Lingxiao
name: Zuo, Wangyang
name: Chang, Yi
name: Xie, Yuying
name: Tang, Jiliang
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 1. Appendix A — Details About Supported Models in DANCE.
On Dickinson
Creators: name: Farris-Clayton, Cheryl
Publisher: name: unknown
Year: 2022
Subjects: subject: Literary form
subject: Poetry
subject: Gender identity
subject: Communication in politics
subject: Voice
subject: Poetics
subject: Women authors
subject: Speech

description: Essay on the poetry of Emily Dickinson and her impact upon literature. This essay celebrates her global reach from within societal spheres of gender. "Emily Dickinson transformed the genre of poetry from the academic salon styled idealism to the personal poignant voice of reality from the poet's point of view."
FAST COMMUNITY STRUCTURE ANALYSIS OF CALL GRAPHS FOR MALWARE DETECTION
Creators: name: Patil, Pooja
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Digital processor architectures
Other information and computing sciences not elsewhere classified

description: The use of graph-structured data in applications is increasing day by day. In order to infer useful information from such data, fast analytics and software tools are required. One of the graph analytics techniques used is community detection. Community detection is the technique of finding structural communities within a graph. Such communities are defined as groups which have highly connected nodes and have similarities with each other. This research proposes a parallel heuristic for faster community detection using the parallel version of the Louvain algorithm: Grappolo. The Louvain algorithm is a hierarchical algorithm that focuses on modularity optimization. It gained popularity because of its ability to detect high-quality communities faster than the other existing community detection algorithms. However, the Louvain algorithm is a sequential algorithm. To reduce the execution time of the Louvain algorithm, a parallel version named Grappolo exists in the literature. This algorithm proposes parallel heuristics that address the challenges that occur due to parallelizing the sequential Louvain algorithm. In this study, the researcher is investigating if Grappolo can be further parallelized to further reduce the execution time maintaining the quality of communities detected. To evaluate the proposed heuristic, it was tested on an OpenMP multithreaded environment. It was implemented on source codes of Android malware applications. However, as compared to Grapplolo, the proposed modified version resulted in higher execution times for the inputs tested. The modularity of the communities detected was similar to the Grappolo implementation.
Supplemental Material, sj-pdf-2-tva-10.1177_15248380211029398 - Understanding the Components and Determinants of Police Attitudes Toward Intervention in Intimate Partner Violence Against Women: A Systematic Review
Creators: name: Serrano-Montilla, Celia
name: Lozano, Luis M.
name: Alonso-Ferres, María
name: Valor-Segura, Inmaculada
name: Padilla, Jose-Luis
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental Material, sj-pdf-2-tva-10.1177_15248380211029398 for Understanding the Components and Determinants of Police Attitudes Toward Intervention in Intimate Partner Violence Against Women: A Systematic Review by Celia Serrano-Montilla, Luis M. Lozano, María Alonso-Ferres, Inmaculada Valor-Segura and Jose-Luis Padilla in Trauma, Violence, & Abuse
On Dickinson
Creators: name: Farris-Clayton, Cheryl
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Gender identity
subject: Literary form
subject: Communication in politics
subject: Voice
subject: Speech
subject: Poetics
subject: Poetry
subject: Women authors

description: Essay on the poetry  of Emily Dickinson and her impact upon literature. This essay celebrates her  global reach from within societal spheres of gender. "Emily Dickinson transformed the genre of poetry from the academic salon styled idealism  to the personal poignant voice  of reality from the  poet’s point of view."
Supplemental Material, sj-pdf-4-tva-10.1177_15248380211029398 - Understanding the Components and Determinants of Police Attitudes Toward Intervention in Intimate Partner Violence Against Women: A Systematic Review
Creators: name: Serrano-Montilla, Celia
name: Lozano, Luis M.
name: Alonso-Ferres, María
name: Valor-Segura, Inmaculada
name: Padilla, Jose-Luis
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental Material, sj-pdf-4-tva-10.1177_15248380211029398 for Understanding the Components and Determinants of Police Attitudes Toward Intervention in Intimate Partner Violence Against Women: A Systematic Review by Celia Serrano-Montilla, Luis M. Lozano, María Alonso-Ferres, Inmaculada Valor-Segura and Jose-Luis Padilla in Trauma, Violence, & Abuse
Additional file 2 of DANCE: a deep learning library and benchmark platform for single-cell analysis
Creators: name: Ding, Jiayuan
name: Liu, Renming
name: Wen, Hongzhi
name: Tang, Wenzhuo
name: Li, Zhaoheng
name: Venegas, Julian
name: Su, Runze
name: Molho, Dylan
name: Jin, Wei
name: Wang, Yixin
name: Lu, Qiaolin
name: Li, Lingxiao
name: Zuo, Wangyang
name: Chang, Yi
name: Xie, Yuying
name: Tang, Jiliang
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 2. Appendix B — Environment Dependencies in DANCE.
Generation of cyber attack data using generative techniques
Creators: name: Sakhala, Nidhi Nandkishor
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: System and network security
Knowledge representation and reasoning

description: The presence of attacks in day-to-day traffic flow in connected networks is considerably less compared to genuine traffic flow. Yet, the consequences of these attacks are disastrous. It is very important to identify if the network is being attacked and block these attempts to protect the network system. Failure to block these attacks can lead to loss of confidential information and reputation and can also lead to financial loss. One of the strategies to identify these attacks is to use machine learning algorithms that learn to identify attacks by looking at previous examples. But since the number of attacks is small, it is difficult to train these machine learning algorithms. This study aims to use generative techniques to create new attack samples that can be used to train the machine learning based intrusion detection systems to identify more attacks. Two metrics are used to verify that the training has improved and a binary classifier is used to perform a two-sample test for verifying the generated attacks.
sj-pdf-1-smo-10.1177_20503121211032810 – Supplemental material for Prevalence of depressive symptoms due to COVID-19 and associated factors among healthcare workers in Southern Ethiopia
Creators: name: Wayessa, Zelalem Jabessa
name: Melesse, Girma Tufa
name: Amaje Hadona, Elias
name: Wako, Wako Golicha
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-pdf-1-smo-10.1177_20503121211032810 for Prevalence of depressive symptoms due to COVID-19 and associated factors among healthcare workers in Southern Ethiopia by Zelalem Jabessa Wayessa, Girma Tufa Melesse, Elias Amaje Hadona and Wako Golicha Wako in SAGE Open Medicine
Sacrificio, forza e debolezza ne La peste di Camus
Creators: name: Verna, Marisa
Publisher: name: Vita e Pensiero
Year: 2022
Subjects: subject: Twentieth century
subject: Literature and medicine
subject: Literature--Philosophy
subject: French literature
subject: Ethics
subject: Literature

description: In this essay we reinterpret Camus's novel The Plague in light of the urgency of history, that with Covid 19 pandemia made us face a real pestilence, thus allowing us to read reality and fiction as even. Our rereading relativizes the traditional allegoric interpretation of critics, while at the same time it widens its perspectives. It is in fact in the universality of illness that evil acquires its authentic value in the novel, both in its ethical dimension than in its social and political stance. For our analysis we focus on the stylistic level, considered by Camus himself as the most appropriate key to understand the novel, built as a Greek tragedy and as such not reducible to specific ideological dimension.
Additional file 1 of Routine patient assessment and the use of patient-reported outcomes in specialized palliative care in Japan
Creators: name: Ito, Nao
name: Ishii, Yoko
name: Aoyama, Maho
name: Abo, Hirofumi
name: Sakashita, Akihiro
name: Matsumura, Yuko
name: Miyashita, Mitsunori
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Table S1: Items of the questionnaire, and Table S2: Interview guide.
A Thesis Evaluation System
Creators: name: Zong, Yanhua
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Other engineering not elsewhere classified

description: With the development of web-based technologies, online evaluation systems have been replacing paper-based ones in various domains at a fast pace because of their many advantages such as easy administration, high efficiency, and eco-friendliness. This study aims at developing an online thesis evaluation system which can act as a substitute to the paper-based one being currently used in Department of Computer Graphics Technology at Purdue. It contains two parts: the development of the online thesis evaluation system, and the assessment of the system. The system was developed using Angular as the client-side technology, PHP as the server-side technology, MySQL as the database management system, and D3 for the data visualization. Bootstrap was also used to simply format the table and forms. The developed system features easy administration, easy to do evaluations, visual reports of evaluation results and so on. Surveys were used to assess the system. The experimental results indicate this system has relatively good performance, usability, and reliability. However, further development and assessment are in need to make it a better substitute of the current paper-based evaluation system.
WEB-SAHIFA BOʻLIMINI OʻQITISH METODIKASI
Creators: name: Umirova, Maxliyo
name: Yaxiyaxonova, Muxiba
Publisher: name: Zenodo
Year: 2025

description: Mazkur maqola "Web-sahifa bo'limini o'qitish metodikasi" mavzusiga bag'ishlangan bo'lib, web-sahifa dizayni va dasturlashni o'qitishda samarali metodlarni tahlil qiladi. Maqolada web-sahifa bo'limini o'qitishda o'quvchilarga interaktiv va amaliy yondashuvlarni qo'llash, shuningdek, web-sahifaning turli bo'limlarini o'rgatishda innovatsion pedagogik metodlar orqali bilimlarni mustahkamlash imkoniyatlari ko'rib chiqiladi. O'qitish jarayonida, web-sahifa dizayni, HTML, CSS, JavaScript kabi texnologiyalarni o'rgatish orqali o'quvchilarga nafaqat dasturlash ko'nikmalarini, balki kreativ fikrlash va amaliy tajriba ham berish zarurati ta'kidlanadi.
Additional file 3 of DANCE: a deep learning library and benchmark platform for single-cell analysis
Creators: name: Ding, Jiayuan
name: Liu, Renming
name: Wen, Hongzhi
name: Tang, Wenzhuo
name: Li, Zhaoheng
name: Venegas, Julian
name: Su, Runze
name: Molho, Dylan
name: Jin, Wei
name: Wang, Yixin
name: Lu, Qiaolin
name: Li, Lingxiao
name: Zuo, Wangyang
name: Chang, Yi
name: Xie, Yuying
name: Tang, Jiliang
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 3. Appendix C — Codebase Structure Tree in DANCE.
Three Dimensional Checkerboard Synergy Analysis of Colistin, Meropenem, Tigecycline against Multidrug-Resistant Clinical Klebsiella pneumonia Isolates
Creators: name: Stein, Claudia
name: Makarewic, Oliwia
name: Bohnert, Jürgen A.
name: Pfeifer, Yvonne
name: Kesselmeier, Miriam
name: Hagel, Stefan
name: Pletz, Mathias W.
Publisher: name: Robert Koch-Institut, Infektionskrankheiten / Erreger
Year: 2015
Subjects: subject: Bacterial Proteins/metabolism
subject: Anti-Bacterial Agents/pharmacology
subject: Microbial Sensitivity Tests
subject: Colistin/pharmacology
subject: Drug Resistance Multiple Bacterial/drug effects
subject: Drug Synergism
subject: Gene Expression Regulation Bacterial/drug effects
subject: Klebsiella pneumoniae/drug effects
subject: Klebsiella pneumoniae/enzymology
subject: Klebsiella pneumoniae/isolation & purification
subject: Minocycline/analogs & derivatives
subject: Minocycline/pharmacology
subject: Porins/metabolism
subject: Thienamycins/pharmacology
subject: 610 Medizin

description: The spread of carbapenem-non-susceptible Klebsiella pneumoniae strains bearing different resistance determinants is a rising problem worldwide. Especially infections with KPC (Klebsiella pneumoniae carbapenemase) - producers are associated with high mortality rates due to limited treatment options. Recent clinical studies of KPC-blood stream infections revealed that colistin-based combination therapy with a carbapenem and/or tigecycline was associated with significantly decreased mortality rates when compared to colistin monotherapy. However, it remains unclear if these observations can be transferred to K. pneumoniae harboring other mechanisms of carbapenem resistance. A three-dimensional synergy analysis was performed to evaluate the benefits of a triple combination with meropenem, tigecycline and colistin against 20 K. pneumoniae isolates harboring different β-lactamases. To examine the mechanism behind the clinically observed synergistic effect, efflux properties and outer membrane porin (Omp) genes (ompK35 and ompK36) were also analyzed. Synergism was found for colistin-based double combinations for strains exhibiting high minimal inhibition concentrations against all of the three antibiotics. Adding a third antibiotic did not result in further increased synergistic effect in these strains. Antagonism did not occur. These results support the idea that colistin-based double combinations might be sufficient and the most effective combination partner for colistin should be chosen according to its MIC.
The type IV secretion protein TraK from the Enterococcus conjugative plasmid pIP501 exhibits a novel fold
Creators: name: Goessweiner-Mohr, Nikolaus
name: Fercher, Christian
name: Arends, Karsten
name: Gruenberger, Ruth Birner-
name: Gomez, Diana Laverde-
name: Huebner, Johannes
name: Grohmann, Elisabeth
name: Keller, Walter
Publisher: name: Robert Koch-Institut
Year: 2014
Subjects: subject: TraK
subject: 4hic
subject: 610 Medizin

description: Conjugative plasmid transfer presents a serious threat to human health as the most important means of spreading antibiotic resistance and virulence genes among bacteria. The required direct cell-cell contact is established by a multiprotein complex, the conjugative type IV secretion system (T4SS). The conjugative core complex spans the cellular envelope and serves as a channel for macromolecular secretion. T4SSs of Gram-negative (G-) origin have been studied in great detail. In contrast, T4SSs of Gram-positive (G+) bacteria have only received little attention thus far, despite the medical relevance of numerous G+ pathogens (e.g. enterococci, staphylococci and streptococci). This study provides structural information on the type IV secretion (T4S) protein TraK of the G+ broad host range Enterococcus conjugative plasmid pIP501. The crystal structure of the N-terminally truncated construct TraK was determined to 3.0 resolution and exhibits a novel fold. Immunolocalization demonstrated that the protein localizes to the cell wall facing towards the cell exterior, but does not exhibit surface accessibility. Circular dichroism, dynamic light scattering and size-exclusion chromatography confirmed the protein to be a monomer. With the exception of proteins from closely related T4SSs, no significant sequence or structural relatives were found. This observation marks the protein as a very exclusive, specialized member of the pIP501 T4SS.
Additional file 4 of DANCE: a deep learning library and benchmark platform for single-cell analysis
Creators: name: Ding, Jiayuan
name: Liu, Renming
name: Wen, Hongzhi
name: Tang, Wenzhuo
name: Li, Zhaoheng
name: Venegas, Julian
name: Su, Runze
name: Molho, Dylan
name: Jin, Wei
name: Wang, Yixin
name: Lu, Qiaolin
name: Li, Lingxiao
name: Zuo, Wangyang
name: Chang, Yi
name: Xie, Yuying
name: Tang, Jiliang
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 4. Appendix D — Contribution Instructions in DANCE.
Lessons Learned in the Space Sector: An Interactive Tool to Disseminate Lessons Learned to Systems Engineers
Creators: name: Rink, Kimberly Anne Quilang
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Aerospace engineering not elsewhere classified

description: Organizations, like individuals, are expected to learn from their mistakes. Companies that successfully rely on past knowledge to inform programmatic decisions use knowledge management tools to capture and disseminate this information, often in the form of lessons learned databases. However, past mistakes continue to happen in the aerospace industry, including NASA. Although NASA has taken measures to stress the importance of lessons learned in organizational culture, relatively little work has been done to develop the user interface of their lessons learned database. Encouraging engineers to review lessons only goes so far when the interface itself is outdated and difficult to use. We propose that an interactive network tool is an effective way to disseminate lessons learned to novice systems engineers.
In this thesis, I begin by developing a model to represent spacecraft anomaly narratives and applying this model to the Jet Propulsion Laboratory’s publicly available lessons learned database. I then create an interactive network tool and populate it with the set of modeled lessons. Then, I design an experiment to determine how novice engineers use two different knowledge management tools—the interactive network and the NASA database. I use transcripts of users’ thought processes, verbalized to me during the experiment, to create a mental model of how users with access to knowledge management tools respond to engineering scenarios. From the mental model, I identify the functional strengths and weakness of both the interactive network and the NASA database. Finally, I discuss the results of the experiment and recommend future improvements to the interactive network tool.
We found that the interactive network was a better resource for users to make connections between topics, and that the NASA database was a better resource for users to search for specific information. Using the interactive network over the NASA database correlated with an increase in performance for the majority of the experiment, but data we collected do not provide enough evidence for us to conclude that the interactive network is a better dissemination tool than the NASA database in all scenarios. We found that receiving lessons learned from either of the tools takes time because each tool’s functionality elicits new tasks from the user. Finally, we found that the top performers in the experiment used each of the tool’s strongest features.
Genome Sequence of a Central Chimpanzee-Associated Polyomavirus Related to BK and JC Polyomaviruses, Pan troglodytes troglodytes Polyomavirus 1
Creators: name: Madinda, Nadège F.
name: Robbins, Martha M.
name: Boesch, Christophe
name: Leendertz, Fabian H.
name: Ehlers, Bernhard
name: Calvignac-Spencer, Sébastien
Publisher: name: Robert Koch-Institut, Infektionskrankheiten / Erreger
Year: 2015
Subjects: subject: 610 Medizin

description: We amplified and sequenced the genome of a polyomavirus infecting a central chimpanzee (Pan troglodytes troglodytes). This virus, which is closely related to BK and JC polyomaviruses, may help shed a new light on these human pathogens’ evolutionary history.
Associations between Meteorological Parameters and Influenza Activity in Berlin (Germany), Ljubljana (Slovenia), Castile and León (Spain) and Israeli Districts
Creators: name: Soebiyanto, Radina P.
name: Gross, Diane
name: Jorgensen, Pernille
name: Buda, Silke
name: Bromberg, Michal
name: Kaufman, Zalman
name: Prosenc, Katarina
name: Socan, Maja
name: Alonso, Tomás Vega
name: Widdowson, Marc-Alain
name: Kiang, Richard K.
Publisher: name: Robert Koch-Institut, Infektionsepidemiologie
Year: 2015
Subjects: subject: Humans
subject: Incidence
subject: Temperature
subject: Influenza Human/epidemiology
subject: Berlin/epidemiology
subject: Residence Characteristics
subject: Humidity
subject: Israel
subject: Meteorological Concepts
subject: Slovenia/epidemiology
subject: Spain/epidemiology
subject: 610 Medizin

description: Background: Studies in the literature have indicated that the timing of seasonal influenza epidemic varies across latitude, suggesting the involvement of meteorological and environmental conditions in the transmission of influenza. In this study, we investigated the link between meteorological parameters and influenza activity in 9 sub-national areas with temperate and subtropical climates: Berlin (Germany), Ljubljana (Slovenia), Castile and León (Spain) and all 6 districts in Israel. Methods: We estimated weekly influenza-associated influenza-like-illness (ILI) or Acute Respiratory Infection (ARI) incidence to represent influenza activity using data from each country’s sentinel surveillance during 2000–2011 (Spain) and 2006–2011 (all others). Meteorological data was obtained from ground stations, satellite and assimilated data. Two generalized additive models (GAM) were developed, with one using specific humidity as a covariate and another using minimum temperature. Precipitation and solar radiation were included as additional covariates in both models. The models were adjusted for previous weeks’ influenza activity, and were trained separately for each study location. Results: Influenza activity was inversely associated (p
Из окупационог живота српског језика и писма
Creators: name: Радић, Првослав
Publisher: name: Zenodo
Year: 2024
Subjects: српски језик
србистика
језичка политика
Serb language
лингвополитика
linguistic‑political studies

description: ● У превасходно католичком Дубровнику назив „српски језик“ је, као домаћи, међу становништвом био присутан вековима, а дубровачка културна баштина је и иначе носила снажан српски печат. Аустријски попис становништва у Дубровнику и околини на самом крају XIX столећа (1890) показује да од 11.177 становника 9.713 говоре у кући „српски“, где је, наравно, углавном реч о тамошњим Србима католицима. Према овом попису, осталих језика (нпр. италијанског, мађарског, немачког) има несравњиво мање, а „хрватски“ нема чак ни своју рубрику. Упркос томе, овде је аустријска власт још 1849. године била увела „srpsko-hrvatski jezik“ као школски предмет.● Посредно или непосредно, хрватска подршка аустроугарској управи у овоме била је присутна и у тим временима (А. Старчевић, Ј. Ј. Штросмајер, В. Јагић и др.), а утолико се пре сада, у условима окупације Србије (1915), могло рачунати на издашну помоћ хрватскога кадра у спровођењу окупаторових планова за денационализацију Србијиног становништва. Тако је хрватска страна била ударна песница у аустроугарским подухватима расрбљавања, тежећи да се ти процеси одвијају и преко својеврсне хрватизације српске културе.● Ваљда су због оваквог стања нације трагови југословенског духа међу Србима остали и у називима низа институција који и даље чувају придев југословенски (нпр. „Југословенско драмско позориште“, „Југословенска кинотека“, „Југословенско речно бродарство“, исп. и ТАНЈУГ као скр. од некадашње партизанско-комунистичке „Телеграфске агенције нове Југославије“), а чак два главна србијанска фудбалска клуба („Партизан“ и „Црвена звезда“) и даље се такмиче под титоистичком називном симболиком. То све доста говори о жалосном данашњем стању националне свести међу Србима.● Дакле, несвакидашња процена предности употребе оба писма (исп. „двоазбучје не може бити штетно“), уз процену степена угрожености ћирилице („док ћирилица не би заиста била егзистенцијално угрожена“) – остале су у надлежности приређивача Матичинога правописа. П. Ивић ће, међутим, у вези с познатом флоскулом о предности употребе оба писма, још 1992. године устврдити да „то више није предност“, али ће његов глас надаље бити све више утуљиван од стране далеко мање вредних, али бројнијих гласова његових „наследника“.● Удар на основна национална обележја Срба, – назив језика с традиционалним националним предзнаком („српски језик“) и српско писмо (ћирилица), – несумњиво је део вајкадашњег, превасходно западњачког пројекта голе отимачине над српском културном баштином (и материјалном и духовном), распрострањеном широм западног Балкана, и не само ту. Стари савезници, западњачке интережџије, предвођене и данас различитим лобијима и обавештајним службама, и дубока комунистичка држава, која није без својих савремених лингвистичких испостава, главна су претња слободи српскога народа.
Enhancing Metadata Quality through Persistent Identifiers: Insights from PID4NFDI and DataCite
Creators: name: El-Gebali, Sara
Publisher: name: Zenodo
Year: 2025
Subjects: Persistent Identifiers
Metadata Quality
FAIR Principles
DataCite
Metadata Assessment
PID4NFDI
Sustainability
Metadata Interoperability

description: Persistent Identifiers (PIDs) and their accompanying metadata play a crucial role in effective research data management and the realization of FAIR principles (Findable, Accessible, Interoperable, Reusable). The PID4NFDI coordination hub is dedicated to creating a sustainable, scalable, and community-driven framework for metadata interoperability across the NFDI landscape. This initiative seeks to harmonize metadata practices, enhance metadata quality and completeness, and ultimately improve the discoverability of research outputs.

In this talk, we will share actionable insights derived from recent metadata assessments using metrics from DataCite’s DOI metadata records, complemented by key findings from our survey on metadata practices within the NFDI community. These insights highlight critical factors influencing metadata quality and researcher engagement. Drawing from real-world examples, we demonstrate how comprehensive metadata, including bibliographic information and provenance details, supports the discoverability, reusability, and longterm sustainability of research outputs. Additionally, we outline upcoming initiatives within PID4NFDI to address identified metadata needs, emphasizing the critical role of PID service providers in improving metadata management practices. By highlighting strengths and pinpointing gaps in current metadata practices among NFDI consortia, we offer targeted recommendations that inform strategic decision-making and enhance organizational metadata workflows.Our collaborative approach aims to reduce administrative burdens, raise awareness among researchers and infrastructure providers about the importance of highquality metadata, and foster a unified metadata ecosystem, ultimately enhancing the value and impact of research data.
Additional file 11 of Development of a low-dose fipronil deer feed: evaluation of efficacy against two medically important tick species parasitizing white-tailed deer (Odocoileus virginianus) under pen conditions
Creators: name: Poché, David M.
name: Wagner, Donald
name: Green, Kylie
name: Smith, Zachary
name: Hawthorne, Noah
name: Tseveenjav, Batchimeg
name: Poché, Richard M.
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 11. Table S6. Fipronil sulfone in white-tailed deer tissues.
Optimization Frameworks for Graph Clustering
Creators: name: Veldt, Luke N
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Theory of computation not elsewhere classified

description: In graph theory and network analysis, communities or clusters are sets of nodes in a graph that share many internal connections with each other, but are only sparsely connected to nodes outside the set. Graph clustering, the computational task of detecting these communities, has been studied extensively due to its widespread applications and its theoretical richness as a mathematical problem. This thesis presents novel optimization tools for addressing two major challenges associated with graph clustering. The first major challenge is that there already exists a plethora of algorithms and objective functions for graph clustering. The relationship between different methods is often unclear, and it can be very difficult to determine in practice which approach is the best to use for a specific application. To address this challenge, we introduce a generalized discrete optimization framework for graph clustering called LambdaCC, which relies on a single tunable parameter. The value of this parameter controls the balance between the internal density and external sparsity of clusters that are formed by optimizing an underlying objective function. LambdaCC unifies the landscape of graph clustering techniques, as a large number of previously developed approaches can be recovered as special cases for a fixed value of the LambdaCC input parameter. The second major challenge of graph clustering is the computational intractability of detecting the best way to cluster a graph with respect to a given NP-hard objective function. To address this intractability, we present new optimization tools and results which apply to LambdaCC as well as a broader class of graph clustering problems. In particular, we develop polynomial time approximation algorithms for LambdaCC and other more generalized clustering objectives. In particular, we show how to obtain a polynomial-time 2-approximation for cluster deletion, which improves upon the previous best approximation factor of 3. We also present a new optimization framework for solving convex relaxations of NP-hard graph clustering problems, which are frequently used in the design of approximation algorithms. Finally, we develop a new framework for efficiently setting tunable parameters for graph clustering objective functions, so that practitioners can work with graph clustering techniques that are especially well suited to their application.
Creating and Enriching Geometric Digital Twins for Pipe Systems: A Case Study Using Laser Scanning Point Clouds and Photos
Creators: name: Pan, Yuandong
name: Noichl, Florian
name: Alexander, Braun
name: Andre, Borrmann
name: Brilakis, Ioannis
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022

description: An information-enriched digital twin for pipe systems is valuable for facility management and maintenance. Currently, the process of creating a twin of pipes requires much human effort and the available information is also very limited. In this paper, we propose a novel approach that can automatically create a geometric digital twin of pipes from laser scanned point cloud and enrich it with information extracted from photos, such as fluid type, fluid direction, etc. In our method, text detection is applied to extract information on pipes in 2D images. Then photogrammetric point clouds are reconstructed and further used to map the extracted information from 2D camera photos into the 3D laser scanned point cloud. The final information-enriched digital twin contains geometric information, semantic information, along with all information included in code-compliant pipe labels. We compare the output of our approach with the manually created model to prove our approach has convincing performance in pipe detection, pipe reconstruction and the recognition of useful information from labels.
EQUIVARIANT MATRIX FUNCTION NEURAL NETWORKS
Creators: name: Batatia, I
name: Schaaf, LL
name: Csányi, G
name: Ortner, C
name: Faber, FA
Publisher: name: Apollo - University of Cambridge Repository
Year: 2024

description: Graph Neural Networks (GNNs), especially message-passing neural networks (MPNNs), have emerged as powerful architectures for learning on graphs in diverse applications. However, MPNNs face challenges when modeling non-local interactions in graphs such as large conjugated molecules, and social networks due to oversmoothing and oversquashing. Although Spectral GNNs and traditional neural networks such as recurrent neural networks and transformers mitigate these challenges, they often lack generalizability, or fail to capture detailed structural relationships or symmetries in the data. To address these concerns, we introduce Matrix Function Neural Networks (MFNs), a novel architecture that parameterizes non-local interactions through analytic matrix equivariant functions. Employing resolvent expansions offers a straightforward implementation and the potential for linear scaling with system size. The MFN architecture achieves state-of-the-art performance in standard graph benchmarks, such as the ZINC and TU datasets, and is able to capture intricate non-local interactions in quantum systems, paving the way to new state-of-the-art force fields.
Bio-Inspired CACO3 Nanocomposite for Efficient Radiative Cooling
Creators: name: Zhao, Zixuan
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Mechanical engineering not elsewhere classified

description: Passive radiative cooling favors the transfer of energy to the deep space (2.7K) by emitting in the transparent atmosphere region (8-13m) and reflecting incoming solar irradiation. To achieve desired daytime or night time cooling performance, scientists have explored various fine-tuned photonic material combinations and layering techniques. However, the high cost, UV absorption or telecommunication interferences due to the metallic material used. Scalable and low-cost nonmetal materials have been studied, but the absorption in the UV range still remains a limitation. Single crystal CaCO_3was found to be highly reflective in the UV range, but it has not been explored for radiative cooling applications yet. In this work we first studied the reflectance in the solar range of seashells of multi-millimeters thick, and found over 70% reflectance. Inspired by this promising result, we fabricated a bio-inspired material — CaCO_3 acrylic nanocomposite, and optimized the nanoparticle size to most strongly reflect the sunlight. We analyzed its performance using Mie Theory and Monte Carlo Simulation for multiple size distribution with dependent scattering correction. The results are in excellent agreement with the experimental data. With 60% volume concentration, the simulation results showed that the total solar reflectance of CaCO_3 can achieve up to 97% . Insights obtained from this work will aid researchers in selecting economical, scalable, and manufacturable materials for radiative cooling applications.
Making references to Dutch newspapers in Wikipedia more sustainable, 08-06-2020
Creators: name: Olaf Janssen
Publisher: name: Zenodo
Year: 2020
Subjects: Delpher
Wikipedia
link sustainability
GLAMwiki
Olaf Janssen
Koninklijke Bibliotheek
KB, national library of the Netherlands

description: Dutch Wikipedia contains some 20.000 citations to Delpher, a digital historical newspaper archive in the Netherlands. Many of those URLs are sustainable, but until recently Dutch Wikipedia also contained thousands of non-future-proof links to Delpher. In this article I show how I found these links and replaced them with persistent URLs, and what the benefits of this search-and-replace operation are.
Tracing the Spread of Clostridium difficile Ribotype 027 in Germany Based on Bacterial Genome Sequences
Creators: name: Steglich, Matthias
name: Nitsche, Andreas
name: Müller, Lutz Von
name: Herrmann, Mathias
name: Kohl, Thomas A.
name: Niemann, Stefan
name: Nübel, Ulrich
Publisher: name: Robert Koch-Institut, Infektionskrankheiten / Erreger
Year: 2015
Subjects: subject: Germany
subject: Humans
subject: Bayes Theorem
subject: Bacterial Proteins/genetics
subject: Microbial Sensitivity Tests/methods
subject: Hospitalization
subject: Clostridium difficile/isolation & purification
subject: Enterocolitis Pseudomembranous/microbiology
subject: Anti-Bacterial Agents/therapeutic use
subject: Clostridium difficile/drug effects
subject: Clostridium difficile/genetics
subject: Enterocolitis Pseudomembranous/drug therapy
subject: Fluoroquinolones/therapeutic use
subject: Genetic Variation/genetics
subject: Genome Bacterial/genetics
subject: Phylogeography/methods
subject: Ribotyping/methods
subject: 610 Medizin

description: We applied whole-genome sequencing to reconstruct the spatial and temporal dynamics underpinning the expansion of Clostridium difficile ribotype 027 in Germany. Based on re-sequencing of genomes from 57 clinical C. difficile isolates, which had been collected from hospitalized patients at 36 locations throughout Germany between 1990 and 2012, we demonstrate that C. difficile genomes have accumulated sequence variation sufficiently fast to document the pathogen's spread at a regional scale. We detected both previously described lineages of fluoroquinolone-resistant C. difficile ribotype 027, FQR1 and FQR2. Using Bayesian phylogeographic analyses, we show that fluoroquinolone-resistant C. difficile 027 was imported into Germany at least four times, that it had been widely disseminated across multiple federal states even before the first outbreak was noted in 2007, and that it has continued to spread since.
An International Proficiency Test to Detect, Identify and Quantify Ricin in Complex Matrices
Creators: name: Worbs, Sylvia
name: Skiba, Martin
name: Bender, Jennifer K.
name: Zeleny, Reinhard
name: Schimmel, Heinz
name: Luginbühl, Werner
name: Dorner, Brigitte
Publisher: name: Robert Koch-Institut, Biologische Sicherheit
Year: 2015
Subjects: subject: ricin
subject: proficiency test
subject: reference material
subject: standardized detection
subject: 610 Medizin

description: While natural intoxications with seeds of Ricinus communis (R. communis) have long been known, the toxic protein ricin contained in the seeds is of major concern since it attracts attention of those intending criminal, terroristic and military misuse. In order to harmonize detection capabilities in expert laboratories, an international proficiency test was organized that aimed at identifying good analytical practices (qualitative measurements) and determining a consensus concentration on a highly pure ricin reference material (quantitative measurements). Sample materials included highly pure ricin as well as the related R. communis agglutinin (RCA120) spiked into buffer, milk and meat extract; additionally, an organic fertilizer naturally contaminated with R. communis shred was investigated in the proficiency test. The qualitative results showed that either a suitable combination of immunological, mass spectrometry (MS)-based and functional approaches or sophisticated MS-based approaches alone successfully allowed the detection and identification of ricin in all samples. In terms of quantification, it was possible to determine a consensus concentration of the highly pure ricin reference material. The results provide a basis for further steps in quality assurance and improve biopreparedness in expert laboratories worldwide.
Incremental Support Vector Machine Approach for DoS and DDoS Attack Detection
Creators: name: Lee, Seunghee
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Applied computing not elsewhere classified

description: Support Vector Machines (SVMs) have generally been effective in detecting instances of network intrusion. However, from a practical point of view, a standard SVM is not able to handle large-scale data efficiently due to the computation complexity of the algorithm and extensive memory requirements. To cope with the limitation, this study presents an incremental SVM method combined with a k-nearest neighbors (KNN) based candidate support vectors (CSV) selection strategy in order to speed up training and test process. The proposed incremental SVM method constructs or updates the pattern classes by incrementally incorporating new signatures without having to load and access the entire previous dataset in order to cope with evolving DoS and DDoS attacks. Performance of the proposed method is evaluated with experiments and compared with the standard SVM method and the simple incremental SVM method in terms of precision, recall, F1-score, and training and test duration.
Random sampling of the Central European bat fauna reveals the existence of numerous hitherto unknown adenoviruses
Creators: name: Vidovszky, Márton Z.
name: Kohl, Claudia
name: Boldogh, Sándor
name: Görföl, Tamás
name: Wibbelt, Gudrun
name: Kurth, Andreas
name: Harrach, Balázs
Publisher: name: Robert Koch-Institut, Biologische Sicherheit
Year: 2015
Subjects: subject: phylogeny
subject: Molecular virology
subject: bat viruses
subject: adenovirus
subject: 610 Medizin

description: From over 1250 extant species of the order Chiroptera, 25 and 28 are known to occur in Germany and Hungary, respectively. Close to 350 samples originating from 28 bat species (17 from Germany, 27 from Hungary) were screened for the presence of adenoviruses (AdVs) using a nested PCR that targets the DNA polymerase gene of AdVs. An additional PCR was designed and applied to amplify a fragment from the gene encoding the IVa2 protein of mastadenoviruses. All German samples originated from organs of bats found moribund or dead. The Hungarian samples were excrements collected from colonies of known bat species, throat or rectal swab samples, taken from live individuals that had been captured for faunistic surveys and migration studies, as well as internal organs of dead specimens. Overall, 51 samples (14.73%) were found positive. We detected 28 seemingly novel and six previously described bat AdVs by sequencing the PCR products. The positivity rate was the highest among the guano samples of bat colonies. In phylogeny reconstructions, the AdVs detected in bats clustered roughly, but not perfectly, according to the hosts’ families (Vespertilionidae, Rhinolophidae, Hipposideridae, Phyllostomidae and Pteropodidae). In a few cases, identical sequences were derived from animals of closely related species. On the other hand, some bat species proved to harbour more than one type of AdV. The high prevalence of infection and the large number of chiropteran species worldwide make us hypothesise that hundreds of different yet unknown AdV types might circulate in bats.
DEVELOPMENT OF SCALABLE STAKEHOLDER-NEEDS METRICS APPLIED IN ECONOMIC INPUT-OUTPUT SOCIAL IMPACT ASSESSMENT MODELS
Creators: name: Richter, Justin S
Publisher: name: Purdue University Graduate School
Year: 2019
Subjects: Environmental engineering not elsewhere classified

description: In the last half century, much research effort has gone into identifying the causes and effects of societal burdens. Industrial activity may arguably be the most widely responsible cause, but the effects, or social impacts (SIs), resulting from industrial activity are typically considered externalities and not evaluated alongside economic performance of industries. It is clear however that people are fundamental to the progress and development of economies. Understanding how people are affected by economies, and in particular industrial economic activity, starts with recognizing that impacts on people can no longer be considered externalities. The coordinating lack of understanding of social performance, i.e., how stakeholder needs are impacted by industrial production, limits the capacity of decision makers to make fully informed choices. A multidisciplinary perspective is needed to address this gap in understanding. The new approach, economic input-output social impact assessment, integrates economic production with social impacts and is further demonstrated to provide a measurable path forward to evaluate the social performance of industries. It is shown that changes in industrial activity, e.g., growth, in the U.S. will have a directly related and predictable change in social impact.
Additional file 5 of DANCE: a deep learning library and benchmark platform for single-cell analysis
Creators: name: Ding, Jiayuan
name: Liu, Renming
name: Wen, Hongzhi
name: Tang, Wenzhuo
name: Li, Zhaoheng
name: Venegas, Julian
name: Su, Runze
name: Molho, Dylan
name: Jin, Wei
name: Wang, Yixin
name: Lu, Qiaolin
name: Li, Lingxiao
name: Zuo, Wangyang
name: Chang, Yi
name: Xie, Yuying
name: Tang, Jiliang
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 5. Appendix E — More Performance Showup in DANCE.