bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between psychological symptoms and illegal driving behaviors in a sample of Chinese private car drivers
Authors: Chen Hongguang , Li Hui , Pu Changqin , Xu Hubo , Wang Tingwei , Du Ling , Liu Xiuxiu , Li Shunfei , Li Mengqian 
Published: October 2022

BackgroundFindings on the associations between psychological symptoms and driving behaviors in private car drivers are inadequate.MethodThe study consisted of 3,115 private car drivers in Yulin, China. The measurements included socio-demographic data, traffic violations, accidents, and Symptom Checklist-90 (SCL-90). In addition, an ordered logistic regression model was employed to examine the association between each psychological symptom and risky driving behaviors.ResultsThe overall prevalence rate of any self-reported psychological symptom was 10.24%, with 9.22% for males and 11.49% for females. Among them, obsessive-compulsive, interpersonal sensitivity, additional items, hostility, and depression were the five most common psychological symptoms, with prevalence rates of 7.90, 6.29, 6.00, 5.91, and 5.62%, respectively. Any psychological symptom factor was associated with a higher risk of traffic violations and accidents. However, the intensity of the correlations varied, with obsessive-compulsive symptoms the strongest in general traffic violations and anxiety symptoms in traffic accidents. All psychological symptoms except phobic anxiety and paranoid ideation contributed to a higher risk of failing the driver's license test.ConclusionsThe prevalence rate of psychological symptoms was high in private car drivers. This study calls for an urgent need to establish a pilot tertiary prevention strategy to reduce risky driving behaviors through psychological symptom screening and interventions among private car drivers.
The state of artificial intelligence in pediatric urology
Authors: Khondker Adree , Kwong Jethro CC. , Malik Shamir , Erdman Lauren , Keefe Daniel T. , Fernandez Nicolas , Tasian Gregory E. , Wang Hsin-Hsiao Scott , Estrada Carlos R. , Nelson Caleb P. , Lorenzo Armando J. , Rickard Mandy 
Published: October 2022

Review Context and ObjectiveArtificial intelligence (AI) and machine learning (ML) offer new tools to advance care in pediatric urology. While there has been interest in developing ML models in the field, there has not been a synthesis of the literature. Here, we aim to highlight the important work being done in bringing these advanced tools into pediatric urology and review their objectives, model performance, and usability.Evidence AcquisitionWe performed a comprehensive, non-systematic search on MEDLINE and EMBASE and combined these with hand-searches of publications which utilize ML to predict outcomes in pediatric urology. Each article was extracted for objectives, AI approach, data sources, model inputs and outputs, model performance, and usability. This information was qualitatively synthesized.Evidence SynthesisA total of 27 unique ML models were found in the literature. Vesicoureteral reflux, hydronephrosis, pyeloplasty, and posterior urethral valves were the primary topics. Most models highlight strong performance within institutional datasets and accurately predicted clinically relevant outcomes. Model validity was often limited without external validation, and usability was hampered by model deployment and interpretability.DiscussionCurrent ML models in pediatric urology are promising and have been applied to many major pediatric urology problems. These models still warrant further validation. However, with thoughtful implementation, they may be able to influence clinical practice in the near future.
A comparison of the energy demands of quadrupedal movement training to walking
Authors: Buxton Jeffrey D. , Sherman Sally A. , Sterrett Micah T. , Kannel Kristia D. , Blanchflower Morgan E. , Jancay Kelli T. , Jenkins Anna K. , Donofrio Troy P. , Prins Philip J. 
Published: October 2022

BackgroundQuadrupedal movement training (QMT) is a novel alternative form of exercise recently shown to improve several fitness characteristics including flexibility, movement quality, and dynamic balance. However, the specific energy demands of this style of training remain unknown. Therefore, the purpose of this study was to compare the energy expenditure (EE) of a beginner-level quadrupedal movement training (QMT) class using Animal Flow (AF) to walking, and to compare EE between segments of the AF class and gender.MethodsParticipants (15 male, 15 female) completed 60-min sessions of AF, treadmill walking at a self-selected intensity (SSIT) and treadmill walking at an intensity that matched the heart rate of the AF session (HRTM). Indirect calorimetry was used to estimate energy expenditure.ResultsAF resulted in an EE of 6.7 ± 1.8 kcal/min, 5.4 ± 1.0 METs, and HR of 127.1 ± 16.1 bpm (63.4 ± 8.1% of the subjects' age-predicted maximum HR), while SSIT resulted in an EE of 5.1 ± 1.0 kcal/min, 4.3 ± 0.7 METs, HR of 99.8 ± 13.5 bpm (49.8 ± 6.7% age-predicted maximum HR), and HRTM resulted in and EE of 7.6 ± 2.2 kcal/min, 6.1 ± 1.0 METs, and HR of 124.9 ± 16.3 bpm (62.3 ± 8.2% age-predicted maximum HR). Overall, EE, METs, HR and respiratory data for AF was greater than SSIT (p's &lt; 0.001) and either comparable or slightly less than HRTM. The Flow segment showed the highest EE (8.7 ± 2.7 kcal/min), METs (7.0 ± 1.7) and HR (153.2 ± 15.7 bpm). Aside from HR, males demonstrated greater EE, METs, and respiratory values across all sessions and segments of AF than females.ConclusionsQMT using AF meets the ACSM's criteria for moderate-intensity physical activity and should be considered a viable alternative to help meet physical activity guidelines.
Analysis of risk factors for postoperative dysphagia after C1-2 fusion
Authors: Sun Dong , Mou Jianhui , Wang Zhaolin , Liu Peng 
Published: October 2022

ObjectiveThis study aimed to analyze the risk factors for dysphagia after C1-2 fusion in patients with C1-2 junction diseases.Summary of the background dataDysphagia is a common postoperative complication of posterior C1-2 junction surgery. The incidence is 9.5% to 26.3%. However, the etiopathogenisis of postoperative dysphagia remains controversial.MethodsThis retrospective study included patients who underwent C1-2 fusion from January 2016 to January 2020. The patients were divided into dysphagia group and control group in accordance with the Bazaz R dysphagia scoring system. The patients' age, gender, BMI(body mass index), cause of disease, and changes in the C01cobb, C02cobb, C12cobb, C27cobb, dC02cobb, dC01cobb, dC12cobb, d C27cobb angles before and after operation, were recorded. The parameters and changes were compared to analyze the risk factors for dysphagia after C1-2 fusion.Results65 cases (15, with dysphagia; 50, without dysphagia) were included. The incidence of postoperative dysphagia was 23%. The differences in age, gender ratio, and BMI between the two groups were not significant (P &gt; 0.05). The differences among postoperative C12 (29.8° ± 11.24° vs. 20.46° ± 13.39°), postoperative C27cobb (10.56° ± 8.53° vs. 20.21° ± 13.21°), and dC12cobb (9.49° ± 5.16° vs. 1.07° ± 12.44°) between the two groups were significant (P &lt; 0.05). Multiple logistic regression analyses revealed that dC12cobb &gt; 5° was a significant independent risk factor for postoperative dysphagia, And preoperative C27cobb was a preventive factor of postoperative dysphagia.ConclusionsDysphagia after the C1-2 fusion was common. dC02cobb and dC12cobb were the significant independent risk factors for postoperative dysphagia. Preoperative c27cobb was a preventive factor of dysphagia.
Carbon dioxide tolerability and toxicity in rat and man: A translational study
Authors: van der Schrier Rutger , van Velzen Monique , Roozekrans Margot , Sarton Elise , Olofsen Erik , Niesters Marieke , Smulders Chantal , Dahan Albert 
Published: October 2022

Background: Due the increasing need for storage of carbon dioxide (CO2) more individuals are prone to be exposed to high concentrations of CO2 accidentally released into atmosphere, with deleterious consequences.Methods: We tested the effect of increasing CO2 concentrations in humans (6–12%) and rats (10–50%) at varying inhalation times (10–60 min). In humans, a continuous positive airway pressure helmet was used to deliver the gas mixture to the participants. Unrestrained rats were exposed to CO2 in a transparent chamber. In both species regular arterial blood gas samples were obtained. After the studies, the lungs of the animals were examined for macroscopic and microscopic abnormalities.Results: In humans, CO2 concentrations of 9% inhaled for &gt;10 min, and higher concentrations inhaled for &lt;10 min were poorly or not tolerated due to exhaustion, anxiety, dissociation or acidosis (pH &lt; 7.2), despite intact oxygenation. In rats, concentrations of 30% and higher were associated with CO2 narcosis, epilepsy, poor oxygenation and, at 50% CO2, spontaneous death. Lung hemorrhage and edema were observed in the rats at inhaled concentrations of 30% and higher.Conclusion: This study provides essential insight into the occurrence of physiological changes in humans and fatalities in rats after acute exposure to high levels of CO2. Humans tolerate 9% CO2 and retain their ability to function coherently for up to 10 min. These data support reconsideration of the current CO2 levels (&lt;7.5%) that pose a risk to exposed individuals (&lt;7.5%) as determined by governmental agencies to ≤9%.
Prenatal exposure to a low dose of BPS causes sex-dependent alterations to vascular endothelial function in adult offspring
Authors: Connors Liam T. , Zhu Hai-Lei , Gill Manvir , Walsh Emma , Singh Radha D. , Easson Sarah , Ahmed Sofia B. , Habibi Hamid R. , Cole William C. , Thompson Jennifer A. 
Published: October 2022

Background: Bisphenol S (BPS) is among the most commonly used substitutes for Bisphenol A (BPA), an endocrine disrupting chemical used as a plasticizer in the manufacture of polycarbonate plastics and epoxy resins. Bisphenols interfere with estrogen receptor (ER) signaling, which modulates vascular function through stimulation of nitric oxide (NO) production via endothelial nitric oxide synthase (eNOS). BPS can cross into the placenta and accumulates in the fetal compartment to a greater extent than BPA, potentially interfering with key developmental events. Little is known regarding the developmental impact of exposure to BPA substitutes, particularly with respect to the vasculature.Objective: To determine if prenatal BPS exposure influences vascular health in adulthood.Methods: At the time of mating, female C57BL/6 dams were administered BPS (250 nM) or vehicle control in the drinking water, and exposure continued during lactation. At 12-week of age, mesenteric arteries were excised from male and female offspring and assessed for responses to an endothelium-dependent (acetylcholine, ACh) and endothelium-independent (sodium nitroprusside, SNP) vasodilator. Endothelium-dependent dilation was measured in the presence or absence of L-NAME, an eNOS inhibitor. To further explore the role of NO and ER signaling, wire myography was used to assess ACh responses in aortic rings after acute exposure to BPS in the presence or absence of L-NAME or an ER antagonist.Results: Increased ACh dilation and increased sensitivity to Phe were observed in microvessels from BPS-exposed females, while no changes were observed in male offspring. Differences in ACh-induced dilation between control or BPS-exposed females were eliminated with L-NAME. Increased dilatory responses to ACh after acute BPS exposure were observed in aortic rings from female mice only, and differences were eliminated with inhibition of eNOS or inhibition of ER.Conclusion: Prenatal BPS exposure leads to persistent changes in endothelium-dependent vascular function in a sex-specific manner that appears to be modulated by interaction of BPS with ER signaling.
Mulheres e Covid-19: a contribuição de narrativas jornalísticas feministas
Authors: Borela Suzanne , Escosteguy Ana Carolina D. 
Published: October 2022

Este trabalho busca compreender quais são e como são configurados os eixos temáticos e as estratégias comunicativas presentes na cobertura jornalística da pandemia de Covid-19 no Brasil, centrada em mulheres, bem como os campos problemáticos que emergem desta narrativa. Toma-se como ponto de partida, especialmente, a perspectiva interseccional, articulada aos estudos da narrativa jornalística. O corpus de análise está composto por 49 reportagens, centradas em experiências de mulheres e publicadas pela organização de mídia Gênero e Número — em parceria com outras organizações, na realização da cobertura Especial Covid-19, no período de março de 2020 a março de 2021. Ao reconstituir a intriga, identificam-se cinco eixos temáticos — Desigualdades/Vulnerabilidades, Trabalho, Saúde, Maternidade e Violência contra a Mulher, que configuram a narrativa com foco em gênero e suas interseccionalidades. Todos os eixos apresentam destaque maior à categorias de raça e territorialidades, os quais revelam como o jornalismo pode colaborar com as discussões sobre tais temas. Observar uma combinação de marcadores sociais que transformam histórias individuais em coletivas, considerando a realidade de cada situação, converte-se em um ponto de transformação do jornalismo contemporâneo, uma contribuição em busca de uma mudança social e política que favoreça as mulheres, especialmente em situações de vulnerabilidade. Essa é uma das características que qualifica tais narrativas jornalísticas como feministas.
HIGH TEMPERATURE PROCESSING OF RAW MILK
Authors: Semko Tetyana , Kolianovska Liudmyla 
Published: October 2022

Modes of pasteurization of raw milk, which are used in the production of hard rennet cheeses, do not destroy all microflora. Even pasteurization of milk at a temperature of 75...76 °C for 20-25 seconds, which corresponds to the upper limit of heat treatment of raw milk in the production of hard rennet cheeses, provides only 94.6% efficiency of heat-resistant bacteria.
Adopted modes of short-term pasteurization for most rennet cheeses at the level of 72...76 °C with a holding time of 20-25 s allow to achieve the residual amount of bacterial contamination of milk at 72 °C pasteurization mode - 3.2%, at 76 °C pasteurization mode - 0.7 %
ЧЕК-ЛИСТ ДЛЯ «ПРОКАЧУВАННЯ» РОБОЧОЇ НАВЧАЛЬНОЇ ПРОГРАМИ ОСВІТНЬОЇ КОМПОНЕНТИ ОП У ЗВО
Authors: Ворожбіт-Горбатюк Вікторія 
Published: October 2022

Робоча навчальна програма (далі – РНП) традиційно є одним з найважливіших документів, які свідчать про якість освіти, інноваційний характер усіх напрямів реалізації освітньо-професійних, освітньо-наукових програм у закладі вищої освіти. У Харківському національному педагогічному університеті імені Г.С. Сковороди накопичено значний арсенал ресурсів оптимізації організаційно-засадничих, змістовно-методичних та інших аспектів реалізації освітніх програм. Наш університет ретранслює цінності національної традиції через масив наукових шкіл і підтримку розвитку у здобувачів усіх рівнів вищої освіти національної ідентичності в контексті трендів і цінностей світової академічної і освітянської спільноти в площині чинного нормативно-правового поля. Це підтверджує узгоджуваність РНП, силабусів усіх освітніх компонент із Стратегія розвитку університету, освітніми програмами, навчальними планами [1]. Кожен науково-педагогічний працівник усвідомлює відповідальність розробника РНП, адже це – персоніфікація освітнього процесу, репутація ЗВО, важлива позиція рейтингування.
ОБРАЗОТВОРЧА СПАДЩИНА Т. ШЕВЧЕНКА ЯК ДЖЕРЕЛО ПРЕЗЕНТАЦІЇ ЕТНОКУЛЬТУРИ НАРОДІВ ЦЕНТРАЛЬНОЇ АЗІЇ
Authors: Білоус Віра 
Published: October 2022

У статті висвітлено місце мистецьких творів Т. Шевченка з теренів Арало-Прикаспію в освітніх, національно-виховних та репрезентаційних проектах. Встановлено, які саме акварелі та сепії прислужилися у справі збереження національної пам’яті казахів, з’ясовано зумовленість активної уваги до спадку українського художника від часу здобуття незалежності Казахстану
FeLebrities: a user-centric assessment of Federated Learning frameworks
Authors: Riviera Walter , Boscolo Galazzo Ilaria , Menegaz Gloria 
Published: October 2022

<p>Federated Learning (FL) is a new paradigm aiming to solve the data access problem. It is gaining an increasing interest in a variety of research fields, including the Biomedical and Financial environments, where lots of valuable data sources are available but not often directly accessible due to the regulations that protect sensitive information. FL provides a solution by moving the focus from sharing data to sharing models. The FL paradigm involves different entities (institutions) holding proprietary datasets, contributing with each other to train a global Artificial Intelligence (AI) model using their own locally available data. Although several studies propose ways to distribute the computation or aggregate results, fewer efforts have been made on how to implement it. With the ambition of helping accelerate the exploitation of FL frameworks, this paper proposes a survey of public tools that are currently available for building FL pipelines, an objective ranking based on the current state of user preferences, and the assessment of the growing trend of the tool’s popularity over a six months time window. Finally, a ranking of the maturity of the tools is derived based on keyaspects to consider when building an FL pipeline. </p>
Numerical Claim Detection in Finance: A Weak-Supervision Approach
Authors: Shah Pratvi , Banerjee Arkaprabha , Shah Agam , Chaudhury Bhaskar , Chava Sudheer 
Published: October 2022

<p>In the past few years, Transformer based models have shown excellent performance across a variety of tasks and domains. However, the black-box nature of these models, along with their high computing and manual annotation costs have limited adoption of these models. In this paper, we employ a weak-supervision-based approach to alleviate these concerns. We build and compare models for financial claim detection task using sentences with numerical information in analyst reports for more than 1500 public companies in the United States from 2017 to 2020. The proposed aggregation function for the weak-supervision model outperforms existing aggregation functions. In addition to standard performance metrics, we provide cost-value analysis of human-annotation and weak-supervision labeling along with estimates of the carbon footprint of our models. We also analyze the performance of our claim detection models across various industry sectors given the considerable variation in numerical financial claims across industries. Our work highlights the potential of weak supervision models for research at the intersection of Finance and Data Engineering. </p>
The Role of the Internet of Things in the Future of Banking, Financial Services, and Insurance
Authors: Mistry Janki , Khatwani Ritesh 
Published: October 2022

<p>Purpose- The purpose of this paper is to understand how the Internet of Things can be used to reshape the BFSI sector; to understand the current scenario and find various new avenues that can be developed.</p>
<p>Design/methodology/approach- This study has used secondary research and literature reviews to get an understanding of the topic. Apart from that, emphasis was given to getting the primary information from the market. </p>
<p>Brief Understanding- The Internet of Things is a network or interconnection of computing devices. For the network to exist, internet infrastructure is required, which is used as the facilitator of information transfer. Data gathering followed by analysis is the basic tenet of the Internet Of Things. Information Technology and semiconductor industries are essentially the brain and heart of the IOT. It is through these semiconductor devices that the information is stored and then through the use of the internet passed to the appropriate destination. IT acts as the brain of the system and is used for the analysis of the huge data collected.</p>
<p>IOT can act as a game changer in Banking, Financial Services, and Insurance sector and till now has made its presence in the sector. Customer satisfaction and unique user experience are two of the fundamental objectives of Industry 4.0 and IOT can help in achieving these objectives.</p>
Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids
Authors: Nnoli Kosisochukwu Pal , Delić Fahrudin , Kettemann Stefan 
Published: October 2022

<p>The energy transition towards increased electric power production from renewable energy (RE) resources creates new challenges to ensure the stability of power grids. In conventional power grids voltage fluctuations can be controlled locally. Here, we explore whether the energy transition changes this situation. We study systematically the transients of voltage amplitude, phase and frequency deviations due to local contingencies in dependence on system inertia, heterogeneity and topology. The 3rd order dynamic power grid model is studied numerically and analytically and compared with real grid simulations for the Nigerian (330 kV) power grid and other grid models, using DigSILENT PowerFactory software. We provide a quantitative analysis of the parametric dependence of the velocity with which a disturbance propagates throughout the grid, and of the period of oscillations of the frequency and voltage transients. We find beating patterns in the transients which we identify as footprints of the location of the fault bus. We confirm that voltage deviations remain local for realistic ranges of parameters. However, we find that this no longer holds true when the electrical power in the grid approaches its critical value. We furthermore consider time dependent second moments of geodesic distance, weighted with frequency deviations and voltage deviations, respectively. We confirm thereby ballistic disturbance propagation in homogeneous model grids. However, in real grid simulations, we observe a linear time dependence of deviations indicating diffusive propagation due to multiple scattering from the inhomogeneities in these power grids.</p>