cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Creators: name: Nassif, Ali Bou
name: Talib, Manar Abu
name: Nasir, Qassim
name: Afadar, Yaman
name: Elgendy, Omar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than 276,000 new cases of invasive breast cancer and more than 48,000 non-invasive cases were diagnosed in the US. To put these figures in perspective, 64% of these cases are diagnosed early in the disease's cycle, giving patients a 99% chance of survival. Artificial intelligence and machine learning have been used effectively in detection and treatment of several dangerous diseases, helping in early diagnosis and treatment, and thus increasing the patient's chance of survival. Deep learning has been designed to analyze the most important features affecting detection and treatment of serious diseases. For example, breast cancer can be detected using genes or histopathological imaging. Analysis at the genetic level is very expensive, so histopathological imaging is the most common approach used to detect breast cancer. In this research work, we systematically reviewed previous work done on detection and treatment of breast cancer using genetic sequencing or histopathological imaging with the help of deep learning and machine learning. We also provide recommendations to researchers who will work in this field
Investing in Research Infrastructure Roles for Culture Change
Creators: name: Sharan, Malvika
Publisher: name: Zenodo
Year: 2023

description: Description: Data science and artificial intelligence are becoming ever more prevalent in the UK with common needs and challenges arising. Solving these challenges requires novel tools, practices and systems which can unlock advances across the wider sector and accelerate innovation. The Alan Turing Institute’s Tools, Practices and Systems (TPS) programme represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all and empower a global, decentralised network of people who connect data with domain experts.

 The core missions of the programme are to build trustworthy systems, embed transparent reporting practices, promote inclusive interoperable design, maintain ethical integrity, encourage respectful co-creation and champion open leadership roles. One of the biggest investments that the Turing institute has made to ensure that TPS can reach its goals is by helping establish teams with experts representing various research infrastructure roles. Building on the success of Research Engineering Groups, the TPS teams bring expertise in community management, and research application management (product management equivalent) while closely collaborating with data stewards, data wranglers, citizen scientists, ethnographers and ethicists to operationalise TPS’ mission in data science and AI projects at the Turing and beyond.

 Underlying these infrastructure roles are open, reproducible and ethical research practices guided through the TPS’ flagship project, The Turing Way - an open source community-led guide to collaborative data science. The Turing Way's goal is to provide all the information that researchers, industry professionals, government and members of the public need to understand reproducibility and ethical standards in data science at all stages of development.

 In this talk, I will present my work at the Turing Institute (Tools, Practices and Systems programme; and The Turing Way project) and with The Turing Way that engages people, which have designed, implemented and strengthened research and policies for supporting both traditional and emergent research infrastructure roles such as community managers, research engineers, open source experts, data stewards, ethicist and other non-traditional positions at organisation levels. Drawing from some successful examples, I will discuss where investments in research infrastructure roles are crucial to influencing meaningful culture change in modern data science and AI.

 This talk partly builds on a previous workshop delivered at AI-UK 2022: https://www.youtube.com/watch?v=ZukCcGfa_Rg
title: The Doorway from Heart to Heart: Diversity's Stubbornly Persistent Illusion
Creators: name: Baxter, Terry
Publisher: name: Utah State University
Year: 2020

description: Archivists have been working to diversify the archival endeavor for 35 years. On the face of things, this work has had limited success. Perhaps archivists should recognize that diversity is already in place and their role is in hiding and revealing that diversity. They should also recognize that their power flows from community and connection, not from control.
title: When Building Namesakes Have Ties to White Supremacy: A Case Study of Oregon State University’s Building Names Evaluation Process
Creators: name: Fernández, Natalia M
Publisher: name: Utah State University
Year: 2020

description: In recent years, more and more communities, including colleges and universities, across the United States are challenging the existence of memorials associated with the Confederacy and white supremacy. Archivists and special collections librarians are often called upon to provide historical context, and have the opportunity to engage their communities in productive and transformative discourses. As a case study, readers will learn about the Building and Places Names Evaluation process at Oregon State University; the process which included developing evaluation criteria, providing historical research assistance to scholars, designing a community engagement plan, and implementing a renaming process. Readers will be able to adapt the information learned to achieve successful evaluation processes within their own communities.
title: Физические механизмы влияния СВЧ электромагнитного поля на свойства полимерных композиционных материалов с периодически распределенными металлическими элементами
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2020

description: В монографии на основе анализа результатов экспериментальных исследований влияния СВЧ электромагнитного поля на структуру, прочность, устойчивость к воздействию электрических разрядов и состав находящихся в отвержденном состоянии армированных углеродными волокнами композиционных материалов с распределенными в объеме связанными металлическими элементами в виде молниезащитных сеток и сотовых конструкций предложена гипотеза, объясняющая выявленные эффекты значимого повышения прочности при действии статических и динамических нагрузок структурированием матрицы и изменением состава зоны контактного взаимодействия «матрица – волокно». Определены возможные механизмы, стимулирующие указанные процессы. Разработана физическая модель воздействия СВЧ электромагнитного поля на композиционный материал, содержащий токопроводящие структуры в виде углеродных волокон и металлической сетки. Путем модифицирования составленного с учетом изучения механических и теплофизических свойств композиционных материалов критериального уравнения получена феноменологическая модель, позволяющая определять целесообразные режимы СВЧ воздействия, обеспечивающие заданную прочность конструкции с учетом физико-механических свойств материала по критерию недостижения температуры расстекловывания матрицы в результате совместного влияния диэлектрического нагрева матрицы и скин-эффекта в области армирующих волокон и металлических элементов. Монография может быть полезна аспирантам, магистрантам, студентам и инженерно-техническим работникам, работающим в сфере разработки и внедрения технологий формирования конструкций из полимерных композиционных материалов с внедренными в структуру металлическими элементами. Монография подготовлена при поддержке гранта РНФ № 18-79-00240 «Раскрытие механизма взаимодействия микроволнового излучения с отвержденными полимерными композиционными материалами на основе углеродных волокон в сочетании с внедренными в поверхностный слой связанными металлическими элементами, периодически распределенными в плоскости армирования наполнителем, применительно к конструкционным элементам авиационных робототехнических комплексов».
title: Understanding My Home: The Potential for Affective Impact and Cultural Competence in Primary Source Literacy
Creators: name: Vos, Jaycie
name: Guzman, Yadira
Publisher: name: Utah State University
Year: 2020

description: The archival profession is currently embracing primary source literacy in significant ways and fostering important conversations about diversity, inclusion, and affect in libraries and archives. This all contributes to concrete steps toward change and a more open conception of who uses archives and how, and what the impact could be. Taking one student’s experience from a series of assignments designed to encourage archival research and discovery of community history, the authors encourage the serious consideration of the emotional impact of primary source materials, particularly those that reveal underrepresented historical narratives, and their power to connect students to complex, larger narratives that can inform their understanding of their place in the world and within broader cultural contexts. As conversations about primary source literacy, diversity and inclusion, and affect continue to grow and inspire new standards, archivists should consider the ways these areas overlap and can inform one another. Intentionally and explicitly including affective impact and cultural competence in primary source literacy guidelines could guide priorities and practices toward better teaching students and better serving users and communities.
The role of lateral hypothalamus corticotropin releasing factor-expressing neurons in the effects of chronic stress on feeding behaviors
Creators: name: Bazer, Allyson
Publisher: name: No Publisher Supplied
Year: 2023

description: The lateral hypothalamus (LH), which regulates feeding, stress, reward, and motivation behavior, is a heterogeneous structure with distinct cell populations defined by expression of specific neural markers. One such population are corticotropin releasing factor (CRF) neurons, which are implicated in chronic stress. However, LH CRF neurons are poorly characterized and their impact on feeding behavior and motivation is unknown. This study aimed to characterize CRF neurons in the LH by comparing co-expression of VGat and VGlut2 mRNA through in situ hybridization (RNAscope). We also aimed to assess the function of CRF neurons using chemogenetics. CRF-ires-cre mice injected with either Gq-DREADD, Gi-DREADD, or control were run through free access feeding and effort-related choice to gauge appetite and motivated behavior. CRF neurons in the LH were found to be primarily GABAergic. Activation of LH CRF neurons via Gq-DREADD increased motivated behavior and locomotion but did not have an impact on feeding behavior.
title: The Cost of Care and the Impact on the Archives Profession
Creators: name: Braun Marks, Alexis
name: Dreyer, Rachael
name: Johnson, Jennifer
name: Sweetser, Michelle
Publisher: name: Utah State University
Year: 2020

description: The archives profession has, in recent years, exerted considerable effort to become more welcoming and inclusive to diverse archival professionals. Many of these efforts have focused intensively on recruiting a diverse workforce. In this article, the authors propose a new approach through which to create and sustain inclusive archival work environments: caregiving. National research has shown that caregiving responsibilities affect women more than their male counterparts, and within these gender divides there are aspects of caregiving that impact individuals of different racial and cultural backgrounds unequally. The issue of navigating the demands of caregiving, work responsibilities, and professional engagement must be discussed openly and with the goal of mitigating the long-term consequences on caregivers’ health, career advancement, and financial stability. As professionals who care for archival collections, the additional demands and central importance of caregiving for loved ones incur measurable impact on archival careers. If the archival profession desires to be truly inclusive, then the issues surrounding the related factors of development opportunities, wages, and affordable care need to be confronted. This article aims to provide context for the argument that supporting caregiving responsibilities during archival employment is a crucial component of creating a wholly inclusive profession. The authors provide a literature review across disciplines, outline factors that directly influence archivists who are caregivers, and identify areas for further research.
title: Voices from Drug Court: Partnering to Bring Historically Excluded Communities into the Archives
Creators: name: Williams, Randy
name: Duncan, Jennifer
Publisher: name: Utah State University
Year: 2020

description: While many archivists have evolved their professional scope to bring diversity into their collections, we posit that much can still be done. One area for growth is greater work by archival professionals to partner with communities to help them tell and preserve their own stories, incorporating a community’s own perspective and goals. This article discusses the community-based project between the Cache Valley Utah Drug Court and Utah State University Library’s Special Collections & Archives. The project was conceived and co-managed by Andrew Dupree (name used with permission), a participant and now graduate of the Cache Valley Drug Court. Perhaps the only project of its kind as of this writing, this effort gives voice to a historically excluded community in archival records. This article examines the importance of ensuring that archivists include the voices of a diverse community in their collections by actively partnering to facilitate community participation in framing and building these collections. This approach will make archival collections more diverse, socially just, and inclusive, especially with historically excluded communities.
Impacts environnementaux du numérique (Poster JOBIM 2022)
Creators: name: Benaben, David
Publisher: name: Zenodo
Year: 2022
Subjects: subject: https://www.wikidata.org/entity/Q30749549
subject: https://www.wikidata.org/entity/Q128570

description: Poster, Impacts environnementaux du numérique , JOBIM 2022 L’urgence climatique, l’empreinte environnementale de l’homme grandissante ou le dépassement de limites planétaires nous oblige à nous interroger sur nos pratiques et nos impacts. Notamment ceux du numérique, au cœur des activités d’un bioinformaticien. Si ce n’est pas le poste le plus important en terme d’émission de gaz à effet de serre (GES) parmi toutes nos activités (transport, alimentation, bâtiment, etc), le numérique représenterait quand même 2 à 4% des GES. En France, ces impacts sont principalement liés à la fabrication (78%) et aux terminaux utilisateurs (79%). Mais le numérique, c’est aussi des minerais (600Kg de matières premières mobilisées pour la fabrication d’un ordinateur). Cette exploitation minière, industrie parmi les plus polluantes au monde, provoque localement des bouleversements sociaux-économiques, environnementaux, sanitaires et parfois des violations de droits humains. C’est aussi de l’eau (0,2% eau douce mondiale) pour l’extraction de métaux ou la fabrication de composants électroniques. C’est encore des déchets pas toujours collectés et peu recyclés. Et ce secteur est en croissance (en contradiction avec les objectifs de réduction globale) avec des effets rebonds difficiles à évaluer. Les traitements réalisés en bioinformatique (alignement, assemblage, docking, etc.) s’appuient sur les équipements informatiques. On peut alors essayer d’évaluer ces impacts, de même que certains centres de calcul ont estimé leur empreinte carbone. On notera notamment le GRICAD et la plateforme bioinformatique GenoToul qui évaluent l’heure par cœur de calcul autour de 5g eqCO2. A cette empreinte du numérique on peut ajouter le stockage des données, les transferts, les visioconférences, nos terminaux utilisateurs, etc. Ces impacts peuvent être mitigés en rallongeant la durée de vie des équipements, en mutualisant, en améliorant l’efficacité énergétique, etc. Finalement, si on estime nos projets nécessaires, il faut allonger autant que possible la durée de vie des équipements, réduire leur nombre et tendre vers une certaine sobriété de nos usages.
title: Utah State University’s Cache Valley Latinx Voices Project: Social Justice in the Archives
Creators: name: Williams, Randy
name: Ortiz, Eduardo
name: Spicer-Escalante, Maria Luisa
Publisher: name: Utah State University
Year: 2020

description: Northern Utah Speaks is an in-depth ethnographic effort by Utah State University Libraries’ Special Collections and Archives (SCA) to bring diverse voices of Northern Utah communities into the Archives. Since 2006, the focus is with social justice in mind as SCA endeavors to bring the voices of underrepresented and historically excluded people into the Archives. Calls to make archival records more inclusive stretch back fifty years, however for many archival institutions this work has moved forward in fits and starts, if at all, and most often without the input and assistance from the community to be studied, collected, and included. In 2007, USU partnered with the local Latino community to produce the award-winning Latino/a Voices Project that collaboratively and ethically gathered, preserved, and now presents the voices from Cache Valley’s robust Latinx communities. The interviews explore the richness and diversity of Latinos and Latinas in Cache Valley. Through archiving the voices from a small but representational section of the local Latinx community, the Project allows opportunities for equal participation and representation of the Hispanic community in the local archive, and thus the social fabric of the community for present and future researchers, enhancing scholars’ ability to reconstruct our shared history.
The individual and societal level impact of broad-based share compensation and workplace experience
Creators: name: Kim, Jungook
Publisher: name: No Publisher Supplied
Year: 2023

description: This study analyzes a unique data to examine the individual level and indirect societal level impact of broad-based share compensation (BBSC), which is a combination of compensation schemes that link employee wealth to the firm’s financial performance. Drawing on previous research evidence of individual and firm performance effect of BBSC, this study expands the knowledge towards if and how BBSC leads to increased perception of fairness and sense of ownership. In addition to the individual level outcomes which have performance implications, this study also explores the effect of BBSC on individuals’ willingness to participate in political and civic activities. The results of this study provide insights on individual level and indirect societal level outcomes of BBSC.
title: Финансовые рынки
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: В учебном пособии раскрыты основные понятия финансового рынка. Организация финансового рынка рассматривается в контексте его структуры и взаимоотношений его участников. Особое внимание уделяется специфике деятельности банков как финансовых посредников в современной реальности. Отражены современные мировые тенденции на различных сегментах финансового рынка и последние законодательные инициативы. Учебное пособие предназначено для студентов, обучающихся по направлению подготовки 38.03.01 «Экономика», направленности (профилям) «Банковское дело», «Финансы и кредит», «Деньги, банки и финансовые рынки».
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Creators: name: Yang, Hui
name: Alsadoon, Abeer
name: Prasad, P. W. C.
name: Al-Dala'in, Thair
name: Rashid, Tarik A.
name: Maag, Angelika
name: Alsadoon, Omar Hisham
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemented in this area, accuracy and processing time are still major problems preventing it from reaching its full potential. This paper proposes an Enhanced Leaky Rectified Linear Unit activation and Weighted Loss (ELReLUWL) algorithm for enhanced text emotion classification and faster parameter convergence speed. This algorithm includes the definition of the inflection point and the slope for inputs on the left side of the inflection point to avoid gradient saturation. It also considers the weight of samples belonging to each class to compensate for the influence of data imbalance. Convolutional Neural Network (CNN) combined with the proposed algorithm to increase the classification accuracy and decrease the processing time by eliminating the gradient saturation problem and minimizing the negative effect of data imbalance, demonstrated on a binary sentiment problem. The results show that the proposed solution achieves better classification performance in different data scenarios and different review types. The proposed model takes less convergence time to achieve model optimization with seven epochs against the current convergence time of 11.5 epochs on average. The proposed solution improves accuracy and reduces the processing time of text emotion classification. The solution provides an average class accuracy of 96.63% against a current average accuracy of 91.56%. It also provides a processing time of 23.3 milliseconds compared to the current average processing time of 33.2 milliseconds. Finally, this study solves the issues of gradient saturation and data imbalance. It enhances overall average class accuracy and decreases processing time.
description: 28 pages
title: Reflections on Digitization, Outreach, and the Value of Ephemera in Special Collections: A Case Study
Creators: name: Seppi, Gregory K
Publisher: name: Utah State University
Year: 2020

description: This case study describes the process L. Tom Perry Special Collections used to create and promote a digital collection of ephemera on Internet Archive. It follows the process from selection to uploading, discusses how decisions related to digitization were made, and how the collection was promoted following digitization. This paper establishes the value of digitizing ephemera related to topics known to be of interest to patrons and demonstrates one approach to special collections outreach. Data gathered during the creation of this case study demonstrates that even small efforts to promote digital collections can significantly improve usage of niche ephemera collections and improve relationships between institutions and researchers.
title: Case Studies in Campus and Community Outreach: The Life and Legacy of the USS Arizona Exhibit and the 75th Anniversary of the Bombing of Pearl Harbor
Creators: name: Purdy, Trent S.
Publisher: name: Utah State University
Year: 2020

description: December 7, 2016 marked the 75th anniversary of the Japanese attack on Pearl Harbor and the sinking of the USS Arizona. The University of Arizona Special Collections Library holds a large archive documenting the life of the ship and her crew. To commemorate this anniversary, Special Collections curated an exhibit highlighting materials from the collection and a complete refresh of an existing digital collection that was built in the mid 1990’s.
This case study discusses the unique collaborations and partnerships forged by Special Collections with the University of Arizona Athletics Department, University of Arizona Creatives Service & Brand Management Department, and campus and local groups to raise awareness of the exhibit and collection to campus, local, and national communities with emphasis given to promotion via traditional and social media outlets.
Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation
Creators: name: Bhusal, Akriti
name: Alsadoon, Abeer
name: Prasad, P. W. C.
name: Alsalami, Nada
name: Rashid, Tarik A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Background and Aim: Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc. Sleep-related diseases could be diagnosed using Convolutional Neural Network Classifier. However, this classifier has not been successfully implemented into sleep stage classification systems due to high complexity and low accuracy of classification. The aim of this research is to increase the accuracy and reduce the learning time of Convolutional Neural Network Classifier. Methodology: The proposed system used a modified Orthogonal Convolutional Neural Network and a modified Adam optimisation technique to improve the sleep stage classification accuracy and reduce the gradient saturation problem that occurs due to sigmoid activation function. The proposed system uses Leaky Rectified Linear Unit (ReLU) instead of sigmoid activation function as an activation function. Results: The proposed system called Enhanced Sleep Stage Classification system (ESSC) used six different databases for training and testing the proposed model on the different sleep stages. These databases are University College Dublin database (UCD), Beth Israel Deaconess Medical Center MIT database (MIT-BIH), Sleep European Data Format (EDF), Sleep EDF Extended, Montreal Archive of Sleep Studies (MASS), and Sleep Heart Health Study (SHHS). Our results show that the gradient saturation problem does not exist anymore. The modified Adam optimiser helps to reduce the noise which in turn result in faster convergence time. Conclusion: The convergence speed of ESSC is increased along with better classification accuracy compared to the state of art solution.
description: 20 pages
title: Фокусирующие системы электронных потоков приборов СВЧ
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2019

description: В учебном пособии изложены физические основы разработки магнитных фокусирующих систем. Рассматриваются конструктивные и технологические особенности, возможности улучшения их технических и эксплуатационных характеристик. Приведена историческая хроника развития, а также современные способы контроля распределения магнитного поля, используемые при изготовлении и анализе магнитных фокусирующих систем. Пособие предназначено для аспирантов, инженерно-технических и научных работников, связанных с разработкой микроволновых приборов, а также бакалавров и магистров, обучающихся по направлению «Электроника и наноэлектроника».
Martina Horn, Adam-und-Eva-Erzählungen im Bildprogramm kretischer Kirchen.
Creators: name: Rickelt, Lutz
Publisher: name: The Byzantine Review
Year: 2022

description: Martina Horn, Adam-und-Eva-Erzählungen im Bildprogramm kretischer Kirchen. Eine ikonographische und kulturhistorische Objekt- und Bildfindungsanalyse (Byzanz zwischen Orient und Okzident 16). Mainz: Verlag des Römisch-Germanischen Zentralmuseums 2020. 304 S. + 192 Farbtafeln. – ISBN 978-3-7954-3519-6 (€ 85.00)
description: The Byzantine Review, Bd. 4 (2022)
FACTORS AFFECTING EMPLOYEES' ENGAGEMENT: THE CASE OF SELECTED PRIVATE BANKS IN ADDIS ABABA
Creators: name: SEGENET NIGUSSE
Publisher: name: Zenodo
Year: 2018

description: The study was conducted to examine what factors influence employees' engagement in three selected private banks (Abyssinia, Buna, and Enat banks). The total number of respondents participated in the study were 252 out of which 141, 71 and 40 were taken from Abyssinia, Buna and Enate bank, respectively. Descriptive and multiple regression analysis were used to analyze the data. The findings of the study revealed that job chararacterstics, reward and recognition, organizational justice and perceived organizational support were all positively and significantly correlated with employees' engagement. The multiple regression result indicated that job characteristics, reward and recognition and perceived organizational support were the factors which had a statistically significant and positively effect on employees' engagement whereas organizational justice was the factor with insignificant effect on employees' engagement. Job characteristics was the most contributing factor in predicting employees' engagement followed by reward and recognition and perceived organizational support in their respective order
62nd Annual Meeting of the Canadian Association of Neuropathologists - Association canadienne des neuropathologistes (CANP-ACNP)
Creators: name: Canadian Association Of Neuropathologists-Association Canadienne Des Neuropathologistes (CANP-ACNP), The
Publisher: name: Free Neuropathology
Year: 2022

description: Free Neuropathology, Bd. 3 (2022)
Crafting to Thrive: A Self-Determination Perspective
Creators: name: IFTIKHAR, QUDSIA
Publisher: name: Monash University
Year: 2022
Subjects: classificationCode: 350503
subject: Human resources management

description: I investigated self-initiated, proactive behaviours across different life domains in the form of crafting one’s job, leisure, and work-life balance activities, in terms of their contribution to thriving. Taking a holistic approach to understanding thriving, and in line with self-determination theory, the findings of my study provide important insights for how crafting behaviour, in particular work-life balance crafting, influences individual thriving, via satisfaction of basic human needs.
Neurotrauma: 2022 update
Creators: name: Priemer, David S.
name: Perl, Daniel P.
Publisher: name: Free Neuropathology
Year: 2022

description: The year 2021 was highlighted by many notable advancements in the field of neurotrauma and associated neuropathology. After a thorough review of the new literature, we call attention to what we feel are among the most impactful studies and publications. In brief, 2021 was marked by published consensus papers related to the diagnosis of chronic traumatic encephalopathy (CTE) and its clinical counterpart, traumatic encephalopathy syndrome. There was also progress toward our understanding of the impact of traumatic brain injury (TBI) on the general population, and how strongly CTE pathology may, or may not, commonly underlie long term clinical sequelae following TBI. Next, a critical new study has identified that acetylated tau protein, which has been found to be increased in the brains of Alzheimer’s disease and CTE patients, can be induced by TBI, is neurotoxic, and that its reduction via already-existent therapeutics is neuroprotective. There are also several important updates that pertain to military and blast TBI, particularly as they pertain to establishing causality of interface astroglial scarring. In addition, and for the first time, a specific signature for diffuse axonal injury has been identified in ex vivo tissues using multidimensional magnetic resonance imaging, providing promise for the clinical diagnosis of this lesion. Finally, several important radiologic studies from 2021 have highlighted long-standing structural reductions in a number of brain regions following both mild and severe TBI, emphasizing the need for neuropathologic correlation. We end by highlighting an editorial piece discussing how TBI is portrayed in entertainment media and how this impacts public perception of TBI and its consequences.
description: Free Neuropathology, Bd. 3 (2022)
Supplementary document for Experimental measurement of quadrature squeezing in quadripartite entanglement - 6212001.pdf
Creators: name: He, Huanrong
name: Lou, Yanbo
name: XU, XIAOYIN
name: Liu, Shengshuai
name: Jing, Jietai
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Supplemental document contains precise control methods of the angles, limitations and enhancement methods of the quadrature squeezing, explanation of two quadrature squeezings, and the physical reasons for quadrature squeezing in the subsystems.
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19
Creators: name: Farhangi, Ashkan
name: Huang, Arthur
name: Guo, Zhishan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: The COVID-19 pandemic has significantly impacted the tourism and hospitality sector. Public policies such as travel restrictions and stay-at-home orders had significantly affected tourist activities and service businesses' operations and profitability. To this end, it is essential to develop an interpretable forecast model that supports managerial and organizational decision-making. We developed DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic. The framework starts by selecting the top static and dynamic features embedded in the time series data. Then, it includes a nonlinear model which can provide interpretable insight into the previously seen data. Lastly, a prediction model is developed to leverage the above characteristics to make robust long-term forecasts. We evaluated the framework using daily hotel demand and revenue data from eight cities in the US. Our findings reveal that DemandNet outperforms the state-of-art models and can accurately predict the impact of the COVID-19 pandemic on hotel demand and revenues.
description: 55th Hawaii International Conference on System Sciences (HICSS) 2022
title: Читай и работай: самоучитель по физике для студентов вузов. Электричество и магнетизм
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2019

description: Учебное пособие содержит комплект задач, которые могут быть использованы как для самостоятельного изучения физики, так и для организации практических занятий в вузе. Каждая задача дана в трёх вариантах. Первый — тренировочный, он полностью разобран. Два других варианта предназначены для самостоятельного решения. Задачи разделены на девять тем, что соответствует одному семестру физики, включающему изучение электричества и магнетизма. Предназначено для студентов технических вузов.
On generative models as the basis for digital twins
Creators: name: Tsialiamanis, G.
name: Wagg, D. J.
name: Dervilis, N.
name: Worden, K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: A framework is proposed for generative models as a basis for digital twins or mirrors of structures. The proposal is based on the premise that deterministic models cannot account for the uncertainty present in most structural modelling applications. Two different types of generative models are considered here. The first is a physics-based model based on the stochastic finite element (SFE) method, which is widely used when modelling structures that have material and loading uncertainties imposed. Such models can be calibrated according to data from the structure and would be expected to outperform any other model if the modelling accurately captures the true underlying physics of the structure. The potential use of SFE models as digital mirrors is illustrated via application to a linear structure with stochastic material properties. For situations where the physical formulation of such models does not suffice, a data-driven framework is proposed, using machine learning and conditional generative adversarial networks (cGANs). The latter algorithm is used to learn the distribution of the quantity of interest in a structure with material nonlinearities and uncertainties. For the examples considered in this work, the data-driven cGANs model outperform the physics-based approach. Finally, an example is shown where the two methods are coupled such that a hybrid model approach is demonstrated.
Post-mortem neuropathologic examination of a 5-case series of CAR T-cell treated patients
Creators: name: Vidal Robau, Núria
name: Caballero, Gabriela
name: Archilla, Ivan
name: Ladino, Andrea
name: Fernández, Sara
name: Ortiz-Maldonado, Valentín
name: Rovira, Montserrat
name: Gómez-Hernando, Marta
name: Delgado, Julio
name: Suárez-Lledó, María
name: Fernández De Larrea, Carlos
name: Balagué, Olga
name: Frigola, Gerard
name: Muñoz, Abel
name: Ortiz, Estrella
name: Ribalta, Teresa
name: Martinez, Miguel J.
name: Angeles-Marcos, Maria
name: Español-Rego, Marta
name: González, Azucena
name: Benitez-Ribas, Daniel
name: Martinez-Hernandez, Eugenia
name: Castro, Pedro
name: Aldecoa, Iban
Publisher: name: Free Neuropathology
Year: 2022

description: Introduction: Chimeric antigen receptor (CAR) T-cell therapy is a promising immunotherapy for the treatment of refractory hematopoietic malignancies. Adverse events are common, and neurotoxicity is one of the most important. However, the physiopathology is unknown and neuropathologic information is scarce. Materials and methods: Post-mortem examination of 6 brains from patients that underwent CAR T-cell therapy from 2017 to 2022. In all cases, polymerase chain reaction (PCR) in paraffin blocks for the detection of CAR T cells was performed. Results: Two patients died of hematologic progression, while the others died of cytokine release syndrome, lung infection, encephalomyelitis, and acute liver failure. Two out of 6 presented neurological symptoms, one with extracranial malignancy progression and the other with encephalomyelitis. The neuropathology of the latter showed severe perivascular and interstitial lymphocytic infiltration, predominantly CD8+, together with a diffuse interstitial histiocytic infiltration, affecting mainly the spinal cord, midbrain, and hippocampus, and a diffuse gliosis of basal ganglia, hippocampus, and brainstem. Microbiological studies were negative for neurotropic viruses, and PCR failed to detect CAR T -cells. Another case without detectable neurological signs showed cortical and subcortical gliosis due to acute hypoxic-ischemic damage. The remaining 4 cases only showed a mild patchy gliosis and microglial activation, and CAR T cells were detected by PCR only in one of them. Conclusions: In this series of patients that died after CAR T-cell therapy, we predominantly found non-specific or minimal neuropathological changes. CAR T-cell related toxicity may not be the only cause of neurological symptoms, and the autopsy could detect additional pathological findings.
description: Free Neuropathology, Bd. 3 (2022)
title: Donor Relations in the Twenty-First Century
Creators: name: Skeem, Dainan M.
Publisher: name: Utah State University
Year: 2020

description: This article explores the professional literature regarding donor relations and then addresses many issues the author has experienced in working with twenty-first century donors. Since manuscript repositories would not exist without individuals willing to donate their materials, it is vital that curators and archivists establish good relationships with their donors and maintain those relationships throughout their careers since many of them will continue to interact with their materials for decades after the initial gift. However, the twenty-first century has brought with it new challenges regarding donor relations that need to be recognized and addressed.
title: Describing Digital: The Design and Creation of a Born-Digital Archival Description Standard at the University of California Libraries
Creators: name: Berdini, Annalise
name: Macquarie, Charles
name: Peltzman, Shira
name: Tasker, Kate
Publisher: name: Utah State University
Year: 2020

description: This case study outlines the process of creating a set of standards to guide description of born-digital archival collections materials in an archival context across the University of California (UC) system. The authors outline the need for such a standard, including the research methodology that helped establish this need, and the procedures by which these new guidelines were created, refined, and accepted across the UC. The paper goes into detail about the processes, considerations, and discussions that went into drafting rules for each descriptive element included in the standards. The authors argue that much of the specific guidance for describing born-digital materials that is present in these new standards does not exist elsewhere, and that existing archival description standards could benefit from consideration or incorporation of these new descriptive rules. This is identified as an area for future work.
A longitudinal analysis of chronic stress, substance use, and mental health among a sample of young sexual minority men in New York City
Creators: name: Briganti, Michael
Publisher: name: No Publisher Supplied
Year: 2023

description: Sexual minority men (SMM) are at increased risk for psychosocial stressor exposure, substance use, and poor mental health relative to heterosexual men. While the burden of mental health and substance use is growing in the United States, among SMM these trends are increasing at a greater rate, driving already large health disparities. To better understand how psychosocial stressors drive disparities in substance use and mental health, this dissertation utilized an integrated framework built upon Meyer’s Minority Stress Model and Hatzenbuehler’s Psychological Mediation Framework. Data from seven timepoints over 36 months of a prospective cohort study of young SMM (n=528) were used to examine the extent to which stressors (stigma, discrimination, internalized homophobia, perceived stress) drive substance use (alcohol to intoxication, club drug, poly club drug) and poor mental health (anxiety, depression, PTSD), and how poor mental health impacts substance use. Using zero-inflated generalized linear mixed models, the differential impacts of stressors on the frequency of specific substance use and the severity of mental health symptomatology was observed, and how the severity of specific mental health outcomes drove the use of specific substances. By observing how these relationships differed by race, ethnicity, sexual identity, and SES, these analyses highlighted the social nature of substance use, and the challenges SMM face during young adulthood. Based on the findings from the primary analyses, a supplementary mediation analysis was conducted between perceived stress and substance use outcomes, to determine how depression and PTSD mediate these relationships. Overall, these findings support an increased need for public health interventions that target psychosocial stressors in order to address the growing mental health and substance use disparities among young SMM.
Supplementary document for On-chip size, low-noise fringe pattern projector toward highly accurate 3D measurement - 6290301.pdf
Creators: name: Hirose, Kazuyoshi
name: Watanabe, Koyo
name: Kamei, Hiroki
name: SUGIYAMA, TAKAHIRO
name: Takiguchi, Yu
name: Kurosaka, Yoshitaka
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: document
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
Creators: name: Yuan, Jun
name: Vig, Jesse
name: Rajani, Nazneen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Error analysis in NLP models is essential to successful model development and deployment. One common approach for diagnosing errors is to identify subpopulations in the dataset where the model produces the most errors. However, existing approaches typically define subpopulations based on pre-defined features, which requires users to form hypotheses of errors in advance. To complement these approaches, we propose iSEA, an Interactive Pipeline for Semantic Error Analysis in NLP Models, which automatically discovers semantically-grounded subpopulations with high error rates in the context of a human-in-the-loop interactive system. iSEA enables model developers to learn more about their model errors through discovered subpopulations, validate the sources of errors through interactive analysis on the discovered subpopulations, and test hypotheses about model errors by defining custom subpopulations. The tool supports semantic descriptions of error-prone subpopulations at the token and concept level, as well as pre-defined higher-level features. Through use cases and expert interviews, we demonstrate how iSEA can assist error understanding and analysis.
description: Accepted at IUI 2022, 11 pages, 6 figures
DAPHNE4NFDI. DAta from PHoton and Neutron Experiments
Creators: name: Amelung, Lisa
Publisher: name: Zenodo
Year: 2022
Subjects: Forschungsdatenmanagement
FDM
Forschungsdaten
NFDI
Nationale Forschungsdateninfrastruktur
Infrastruktur
FAIRe Daten
FAIR-Prinzipien
Metadaten
Metadatenerfassung
Datenanalyse
Photonenforschung
Neutronenforschung
research data management
RDM
research data
FAIR data
FAIR principles
National Research Data Infrastructure
infrastructure
metadata
metadata capture
data analysis
photon research
neutron research
DAPHNE4NFDI

description: DAPHNE4NFDI is the first (inter-)national attempt to bring together users and large-scale research facilities to create a comprehensive infrastructure to process research DAta from PHoton and Neutron Experiments (DAPHNE) according to the FAIR principles. Our community faces a common need for high-level, rapid data analysis and the challenge of implementing research data management for increasingly large and complex datasets. All this involves not only a broad range of scientific disciplines and stakeholders, but also the connection to complex instrumentation and IT. Within the talk, Lisa Amelung would like to inform about the DAPHNE4NFDI consortium and discuss (current) challenges and future tasks.
description: The HeFDI Data Talks are a bi-weekly open information and discussion event focused on data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and presents numerous – including local and regional – tools and services. The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).
title: Задачи концептуального проектирования технического обеспечения АСУ ТП. В 2 частях. Ч.1
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебное пособие состоит из двух частей. В первой части дана общая характеристика структур промышленных АСУ ТП различных видов. Детально рассмотрены задачи выбора концепции для локальных, иерархических и сетевых АСУ ТП. Во второй части описываются методы решения задач концептуального проектирования технического обеспечения АСУ ТП. Предлагается новая система критериев оценки элементов структуры и их свойств, основанная на процессном подходе. Приводится решение параметрических задач концептуального проектирования АСУ ТП при точечных и интервальных критериях. Учебное пособие предназначено для студентов направлений 27.03.04 «Управление в технических системах» и 27.03.02 «Управление качеством».