bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chatbot to predict need of a stent in cardiac treatment
Authors: Nagaraju Krishna Chythanya , Jandhyala Narayana Murthy , Konda Harika , Maheen Fazilath , Rapolu Reetica , Mudhunuri Alekhya , G Chaitanya Priya 
Published: November 2022

Background: Every year, across the globe about 1,800,000 people suffers with heart attack and India has the highest rate in the world with almost 25% families having a member who suffered heart attack at least once. One of the solutions to reduce the heart attacks in patients is placing a stent. Once the blockage is identified, it is suggested that a stent with the required size is inserted into the coronary artery. The invasive device and its associated cost automatically leads to a dilemma for both the doctors as well as patients. The young practitioners of cardiology may face a dilemma sometimes whether to go for stent or not. The patients undergoing treatment for cardiac issues would be in a two state mind whether to go for stent or not. The above two dilemmas can be mitigated and confidence of both doctors and patients in decision making can be enhanced with the help of a technology driven application that suggests requirement of stent with a degree of confidence. Methods: The chatbot in our project shall help in taking textual and image based inputs of the information of the heart and coronary artery of a patient and predicts the requirement of stent being placed. The real time data of 50 patients was used in training the model with a data set consisting of 349 scanned images of angiogram. The model developed consists of sequential CNN model with 5 convolutional 2D layers and 5 Maxpool layers. Results: The model could achieve an accuracy of 81%. Conclusions: The authors have successfully developed and tested a machine learning based chatbot model to predict the need of a stent in cardiac treatment.
Experiências Familiares de Homens Gays: Cuidado e Proteção como Mecanismos de Manutenção da Heteronormatividade
Authors: Silva Welligton Magno da , Tondin Celso Francisco , Queiroz Isabela Saraiva de 
Published: November 2022

Neste artigo analisamos as experiências de preconceito vivenciadas no contexto familiar por universitários autodeclarados homens gays. A pesquisa, de caráter qualitativo, contou com a participação de cinco estudantes, selecionados intencionalmente por meio da técnica Snowball. Como instrumentos de coleta foram utilizados entrevistas narrativas e grupo focal, e os dados produzidos foram submetidos à análise crítica do discurso. Contatou-se que, embora a família, em suas diversas configurações, desempenhe um papel ativo na proteção de seus membros, isso não reflete, necessariamente, na promoção do seu bem-estar individual e/ou coletivo, uma vez que quando não problematiza a lógica heteronormativa acaba por reproduzi-la, configurando-se como espaço de controle e violência, ainda que sob o disfarce do cuidado e proteção. Concluímos que tais famílias (re)produzem mecanismos de poder pautados na heteronormatividade e colaboram para a manutenção das hierarquias produtoras de modos subalternos de existência, levando à não aceitação, ocultação e silenciamento das experiências de homens gays e podendo trazer inúmeros prejuízos para sua saúde mental.
LITERATURAS: ESCRITA E EM LÍNGUA DE SINAIS. DIÁLOGOS POSSÍVEIS? / Literatures : written and in sign language. Possible dialogues?
Authors: Madeira Fabiana Ferreira Braga , Ramos Danielle Cristina Mendes Pereira 
Published: November 2022

A proposta do tema Literatura escrita e Literatura em língua de sinais, nasceu das aulas de Literatura na Pós-graduação em Ensino, tradução e Interpretação de Libras na UFRJ. O artigo em questão é fruto do trabalho final de curso. A presente pesquisa constitui-se por uma revisão bibliográfica de literatura e criação de uma proposta de ensino que dialoga entre o uso da Literatura em formato escrito e a natureza própria da Literatura em Língua de Sinais. As referências dialogam com Platão (427 a.C.), Santo Agostinho (354 d.C – 430 d. C.) até Stutton-Spence (2021) para tratar os conceitos teóricos das literaturas abordadas. O objetivo da pesquisa concentra-se em apresentar uma proposta de ensino de Literatura para surdos trabalhando com a Literatura escrita em língua portuguesa e a literatura em língua de sinais – Língua Brasileira de Sinais. O estudo investiga os conceitos acerca da literatura surda, literatura para os Surdos, verifica como foi abordado o ensino de Literatura para pessoas surdas. Principalmente, pretende-se, responder às perguntas qual é o lugar estabelecido pelo ensino de Literatura na Educação de pessoas Surdas, principalmente a partir do segundo segmento do ensino fundamental até o ensino médio, chegando ao ensino superior? Além de propor caminhos mais assertivos para a relação da pessoa surda com o mundo literário escrito por meio da leitura, interpretação textual e para o ensino de Literatura.
Mid-infrared laser heterodyne spectrometer by hollow optical fiber and its newly designed coupler
Authors: Nakagawa Hiromu , Tsukada Satoki , Katagiri Takashi , Kasaba Yasumasa , Murata Isao , Hirahara Yasuhiro , Matsuura Yuji , Yamazaki Atsushi 
Published: November 2022

We demonstrate a newly designed, to the best of our knowledge, hollow optical fiber coupler for a mid-infrared (IR) laser heterodyne spectrometer that mixes a targeted light source with local oscillator (LO) light. The hollow fiber achieves a high transmission efficiency

∼

80

−

90

%

/

m

, not only for a coherent laser source but also for an incoherent blackbody source. The branching characteristics of the hollow optical fiber coupler are found to be strongly dependent on the curvature and length of the input port fiber, indicating that the branching ratio could be designed independently for each input port. Our laboratory measurements demonstrate that the branching ratio and transmittance of the coupler can be varied by coupling a flexible fiber to the input side owing to the excitation of higher-order modes. Using the hollow optical fiber coupler, a high-resolution emission spectrum of the quantum cascade laser at 10.3 µm for our

C
O

2

laser-based heterodyne spectrometer is successfully achieved. Using a

C
O

2

laser with a hollow fiber and a blackbody as a direct input signal in free space, we obtain the sensitivity performance of IR laser heterodyne spectrometer as 2000–3000 K of the system noise temperature. This suggests that the transmission of a coherent LO laser through a hollow optical fiber has almost the same sensitivity for the IR heterodyne detection as that without a fiber.
High prevalence of burnout syndrome among medical and nonmedical residents during the COVID-19 pandemic
Authors: Pinho Rebeca da Nóbrega Lucena , Costa Thais Ferreira , Silva Nayane Miranda , Barros-Areal Adriana Ferreira , Salles André de Matos , Oliveira Andrea Pedrosa Ribeiro Alves , Rassi Carlos Henrique Reis Esselin , Gomes Ciro Martins , Silva Dayde Lane Mendonça da , Oliveira Fernando Araújo Rodrigues de , Jochims Isadora , Vaz Filho Ivan Henrique Ranulfo , Oliveira Lucas Alves de Brito , Rosal Marta Alves , Lima Marta Pinheiro , Soares Mayra Veloso Ayrimoraes , Kurizky Patricia Shu , Peterle Viviane Cristina Uliana , Gomides Ana Paula Monteiro , Mota Licia Maria Henrique da , Albuquerque Cleandro Pires de , Simaan Cezar Kozak , Amado Veronica Moreira 
Published: November 2022

Background
Since the beginning of the COVID-19 pandemic, health professionals have been working under extreme conditions, increasing the risk of physical and mental illness. We evaluated the prevalence of burnout and its associated factors among postgraduate student residents in health professions during the global health crisis.

Methods
Healthcare residents were recruited from all across Brazil between July and September 2020 through digital forms containing instruments for assessing burnout (Oldenburg Burnout Inventory (OLBI)), resilience (brief resilient coping scale (BRCS)) and anxiety, stress and depression (depression, anxiety and stress scale (DASS-21) and Patient Health Questionnaire (PHQ-9)). Additionally, the relationships between burnout and chronic diseases, autonomy and educational adequacy in the residency programme, personal protective equipment (PPE), workload and care for patients with COVID-19 were evaluated. The chi-square test, Student’s t test, Pearson’s correlation test and logistic regression were performed.

Results
A total of 1,313 participants were included: mean (standard deviation) age, 27.8 (4.4) years; female gender, 78.1%; white race, 59.3%; and physicians, 51.3%. The overall prevalence of burnout was 33.4%. The odds (odds ratio [95% confidence interval]) of burnout were higher in the presence of pre-existing diseases (1.76 [1.26–2.47]) and weekly work > 60 h (1.36 [1.03–1.79]) and were lower in the presence of high resilience (0.84 [0.81–0.88]), autonomy (0.87 [0.81–0.93]), and educational structure (0.77 [0.73–0.82]), adequate availability of PPE (0.72 [0.63–0.83]) and non-white race (0.63 [0.47–0.83]). Burnout was correlated with anxiety (r = 0.47; p < 0.05), stress (r: 0.58; p < 0.05) and depression (r: 0.65; p < 0.05).

Conclusions
We observed a high prevalence of burnout among residents during the COVID-19 pandemic. Individual characteristics and conditions related to the work environment were associated with a higher or lower occurrence of the syndrome.
Olfactory testing as COVID-19 screening in school children; A prospective cross-sectional study
Authors: Gitomer Sarah A. , Tholen Kaitlyn , Pickett Kaci , Mistry Rakesh D. , Beswick Daniel M. , Kaar Jill L. , Herrmann Brian W. 
Published: November 2022

Background
Little is known about olfactory changes in pediatric COVID-19. It is possible that children under-report chemosensory changes on questionnaires, similar to reports in adults. Here, we aim to describe COVID-19-related olfactory dysfunction in outpatient children. We hypothesized that children with COVID-19 will demonstrate abnormal olfaction on smell-identification testing at a higher rate than children with negative COVID-19 testing.

Methods
A prospective cross-sectional study was undertaken from June 2020—June 2021 at a tertiary care pediatric hospital. A consecutive sample of 205 outpatients aged 5–21 years undergoing severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) PCR testing were approached for this study. Patients with prior olfactory dysfunction were excluded. Participants were given a standard COVID-19 symptom questionnaire, a Smell Identification Test (SIT) and home-odorant-based testing within 2 weeks of COVID-19 testing. Prior to study enrollment, power calculation estimated 42 patients to determine difference in rates of SIT results between groups. Data were summarized with descriptive statistics.

Results
Fifty-one patients underwent smell identification testing (23 positive (45%) and 28 negative (55%) for COVID-19; mean age 12.7 years; 60% female). 92% of all patients denied subjective change in their sense of smell or taste but only 58.8% were normosmic on testing. There was no difference in screening questionnaires or SIT scores between COVID-19 positive and negative groups.

Conclusions
Unlike adults, there was no statistical difference in olfactory function between outpatient COVID-19 positive and negative children. Our findings suggest a discrepancy between objective and patient-reported olfactory function in pediatric patients, and poor performance of current screening protocols at detecting pediatric COVID-19.
Choosing which in-hospital laboratory tests to target for intervention: a scoping review
Authors: Podolsky Eyal , Hudek Natasha , McCudden Christopher , Presseau Justin , Yanikomeroglu Sezgi , Brouwers Melissa , Brehaut Jamie C. 
Published: November 2022

Abstract

Introduction
Some laboratory testing practices may be of low value, leading to wasted resources and potential patient harm. Our scoping review investigated factors and processes that developers report using to inform decisions about what tests to target for practice improvement.

Methods
We searched Medline on May 30th, 2019 and June 28th, 2021 and included guidelines, recommendation statements, or empirical studies related to test ordering practices. Studies were included if they were conducted in a tertiary care setting, reported making a choice about a specific test requiring intervention, and reported at least one factor informing that choice. We extracted descriptive details, tests chosen, processes used to make the choice, and factors guiding test choice.

Results
From 114 eligible studies, we identified 30 factors related to test choice including clinical value, cost, prevalence of test, quality of test, and actionability of test results. We identified nine different processes used to inform decisions regarding where to spend intervention resources.

Conclusions
Intervention developers face difficult choices when deciding where to put scarce resources intended to improve test utilization. Factors and processes identified here can be used to inform a framework to help intervention developers make choices relevant to improving testing practices.
Accommodating representation in the neuroscience of memory: a conceptual blending analysis of replay and preplay in hippocampal place cell research
Authors: Berners-Lee Ben 
Published: November 2022

Abstract
Neurons called place cells are selectively activated in correspondence with the location or place field that a rodent occupies. In a phenomenon that neuroscientists call replay, place cell activation sequences rapidly repeat during subsequent periods of rest and grooming. Replay has been theorized as a mechanism for reinforcement learning of the spatial trajectories represented by place cell coactivation. Preplay is a competing theory that suggests that these sequences also occur before a novel run and that sequences are not recordings of position made in real time, but rather pre-made repertoires that an organism selects from as it makes a trajectory through space. The preplay theory maintains the language of representation while breaking from the entailment of the conceptual metaphor “MEMORIES ARE RECORDINGS” that recordings are produced simultaneously to the experiences that they represent. It does so through a conceptual blend that affords preplay researchers flexibility in their theorizing about memory without requiring a break from representationalism. Broadly, these findings demonstrate how the blending of conceptual metaphors is a viable approach for the implicit development and contestation of theories of representation in the neural and cognitive sciences.
Reading perspectives on feeling and the semiotics of emotion
Authors: Reeve Victoria 
Published: November 2022

Abstract
This interdisciplinary approach to the semiotics of emotion offers insights on emotion as a semantic category organising an array of feelings, thoughts and sensations into meaningful (communicable) terms. This is achieved via an exploration of the role of perspective-taking in making meanings that are felt rather than expressly articulated through words. Forming a semiotic system based on embodied experiences and their contexts, emotions, as semantic categories, are the first stage in processes of expression and communication. I lay the groundwork for an interdisciplinary semiotics of emotion in accordance with findings and stances taken in the fields of literary and cultural studies, neuroscience, and cognitive and comparative psychology. Narrative empathy (sometimes called narrative emotion), like emotion per se, stands upon processes of communication involving the interpretive capacities of feeling, cognitive processes of identification, and perspective-taking. Feeling, beginning as an interpretation of sensorial and neurologically driven values, intensifies through the cognitive-affectual interpretative processes of perspective-taking. With recursive (multi-perspectival) feeling resulting in intensifications of feeling we recognise as emotion, I define emotion as a complex recursive pattern of feeling and affect that calls attention to itself in terms that are readily identifiable with semantic categories such as love, hate, shame, sadness, and anger.
Special values ofL-functions of one-motives over function fields
Authors: Geisser Thomas H. , Suzuki Takashi 
Published: November 2022

AbstractThe purpose of this paper is to give a formula for the leading coefficient ats=1{s=1}of theL-function of one-motives over function fields in terms of Weil-étale cohomology, generalizing the Weil-étale version of the Birch and Swinnerton-Dyer conjecture in the authors’ previous work. As a consequence we express the Tamagawa number of a torus introduced by Ono–Oesterlé in terms of Weil-étale cohomology, and reprove their Tamagawa number formula.
The relationship between oxygen therapy, drug therapy, and COVID-19 mortality
Authors: Yang Ling , Chen Guoxi , Cai Yuyang , An Ye , Li Xiaopan , Chen Ying , Xu Cheng , Ji Chen , Lan Xing , Wang Yaling , Huang Hai , Han Li 
Published: November 2022

Abstract
Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19). We conducted a retrospective study of COVID-19 inpatients in Wuhan Pulmonary Hospital (Wuhan, China) from January 1 to February 29, 2020. The subjects were divided into four groups due to different treatment regimes. We used the Kaplan–Meier method to determine the cumulative rates of in-hospital death and the Cox proportional hazard model to calculate the risk factors and corresponding hazard ratios. A total of 185 patients were included in this study. The median age of the patients was 62 years, including 94 men and 91 women. Kaplan–Meier analysis demonstrated that mortality was higher in older patients, higher in men, and lower in the low-flow oxygen therapy group. Body mass index (BMI) had no influence on mortality, as well as high flow oxygen therapy, Lopinavir–ritonavir (LPV/r) therapy, and the interferon-alpha add LPV/r therapy. Cox proportional hazard regression confirmed that the low flow oxygen therapy was independent protective factor for in-hospital death after adjusting for age, gender, and BMI. In conclusion, the mortality was higher in older patients, higher in men, and lower in the low-flow oxygen therapy group. BMI had no influence on mortality, as well as high flow oxygen therapy, LPV/r therapy, and interferon-alpha add LPV/r therapy.
Nachhaltige Datennutzung im Handwerk
Authors: Jagusch Konrad , Gerds Paul , Knitter Laura , Sender Jan , Flügge Wilko 
Published: November 2022

Abstract
In der handwerklichen Fertigung von Spezialprodukten wird dem Kunden eine lange Einflussnahme auf das Endergebnis eingeräumt. Aufgrund dessen treten extern wie intern initiierte Ereignisse auf, die eine schnelle und gezielte Reaktion erfordern. Hinweise sowie Erfahrungen helfen dabei, diese und weitere alltägliche Herausforderungen zu meistern. Eine nachhaltige Strategie zur Konservierung dieser Informationen fehlt jedoch in vielen Unternehmen. In diesem Beitrag wird ein Ansatz aufgezeigt, innerhalb dessen entsprechende Daten erfasst und zur gezielten Unterstützung unternehmensweit gestreut werden. Ferner wird dargelegt, wie diese Daten nachhaltig für neue Kundenaufträge verwendet und prozessoptimierend eingesetzt werden können.
Prozessoptimierung durch Flittergratvermeidung
Authors: Martini Alexander , Doede Nils , Kriwall Mareile , Stonis Malte , Behrens Bernd-Arno 
Published: November 2022

Abstract
Aufgrund der guten Fließeigenschaften von Aluminium neigt das Material beim gratlosen Präzisionsschmieden dazu, in Werkzeugspalte zu fließen und den sogenannten Flittergrat zu erzeugen. Zur industriellen Umsetzung von gratlosen Präzisionsschmiedeprozessen sollen, in Kooperation mit einem Industriepartner, eine innovative Prognosemethode für Flittergrat sowie Dichtungskonzepte erarbeitet werden. Simulative Untersuchungen zeigen, dass die lokale Formfüllung nicht gleichzusetzen ist mit einem hohen Druck respektive einer erhöhten Wahrscheinlichkeit für Flittergrat.
Modellierung der dynamischen Werkzeugnachgiebigkeit mithilfe der Receptance-Coupling-Analyse
Authors: Klemme Heinrich , Reimer Svenja , Uhlmannsiek Jonas 
Published: November 2022

AbstractFür die optimale Auslegung von Zerspanprozessen muss das dynamische Verhalten des Gesamtsystems aus Maschine, Werkzeughalter und Werkzeug bekannt sein. Bislang werden dafür für jede Prozesskonfiguration aufwändige experimentelle Modalanalysen durchgeführt. Durch Receptance Coupling kann das dynamische Prozessverhalten modular aus dem dynamischen Verhalten der Einzelkomponenten zusammengesetzt werden, sodass keine Messungen zur Identifikation des Gesamtsystems mehr notwendig sind.
The CRHR1/CREB/REST signaling cascade regulates mammalian embryonic neural stem cell properties
Authors: Kwon Mookwang , Lee Ju Hyun , Yoon Youngik , Pleasure Samuel J , Yoon Keejung 
Published: November 2022

AbstractGrowing evidence suggests that the corticotropin‐releasing hormone (CRH) signaling pathway, mainly known as a critical initiator of humoral stress responses, has a role in normal neuronal physiology. However, despite the evidence of CRH receptor (CRHR) expression in the embryonic ventricular zone, the exact functions of CRH signaling in embryonic brain development have not yet been fully determined. In this study, we show that CRHR1 is required for the maintenance of neural stem cell properties, as assessed by in vitro neurosphere assays and cell distribution in the embryonic cortical layers following in utero electroporation. Identifying the underlying molecular mechanisms of CRHR1 action, we find that CRHR1 functions are accomplished through the increasing expression of the master transcription factor REST. Furthermore, luciferase reporter and chromatin immunoprecipitation assays reveal that CRHR1‐induced CREB activity is responsible for increased REST expression at the transcriptional level. Taken together, these findings indicate that the CRHR1/CREB/REST signaling cascade plays an important role downstream of CRH in the regulation of neural stem cells during embryonic brain development.
Cross-lingual transfer of knowledge in distributional language models: Experiments in Hungarian
Authors: Novák Attila , Novák Borbála 
Published: November 2022

AbstractIn this paper, we argue that the very convincing performance of recent deep-neural-model-based NLP applications has demonstrated that the distributionalist approach to language description has proven to be more successful than the earlier subtle rule-based models created by the generative school. The now ubiquitous neural models can naturally handle ambiguity and achieve human-like linguistic performance with most of their training consisting only of noisy raw linguistic data without any multimodal grounding or external supervision refuting Chomsky's argument that some generic neural architecture cannot arrive at the linguistic performance exhibited by humans given the limited input available to children. In addition, we demonstrate in experiments with Hungarian as the target language that the shared internal representations in multilingually trained versions of these models make them able to transfer specific linguistic skills, including structured annotation skills, from one language to another remarkably efficiently.