bluuebunny/crossref_metadata_2025_split huggingface dataset:
The feasibility of integrating an alcohol screening clinical decision support tool into primary care clinical software: A review and Australian key stakeholder study
Authors: Canaway Rachel , Dai Libby , Hallinan Christine Mary , Caddy Cassandra , Hegarty Kelsey , Boyle Douglas IR 
Published: January 2024

Abstract

Background: This study explored the feasibility of integrating a clinical decision support tool into general practice clinical management software in Australia to prompt for alcohol screening among patients who are pregnant or planning a pregnancy. The study aimed to increase understanding of what is an appropriate and acceptable clinical decision support tool, the circumstances when a prompt to use such a screening tool should occur, and the barriers and enablers of successful implementation.
Methods: This research study employed a mixed methods approach and purposive sampling to identify key stakeholders to interview. Participants included vendors of clinical software used in Australian general practice, clinicians in general practice, and relevant others. Data from a literature review and 23 interviews were analysed leading to recommendations which were ‘sense-tested’ by an additional 22 stakeholders.
Results: Although there are at least 18 clinical software packages used in Australian general practice, it is feasible to integrate an alcohol screening tool for pregnancy into software for the majority of general practices in Australia. The AUDIT-C alcohol screening tool for pregnancy was widely accepted as suitable for such a purpose. Clinicians suggested the greatest barriers to screening were lack of time within antenatal consultations and insufficient remuneration for longer consultations. Many clinicians saw opportunity for introducing a multifunctional antenatal tool that could incorporate screening and clinical decision support for alcohol, tobacco and other substance use, mental health, domestic and family violence and potentially other areas informing healthy pregnancy. It could also be used opportunistically for preconception screening and counselling. Deployment of the tool could be supported by an education campaign from professional associations.
Conclusion: The integration of a tool for screening for alcohol use among women who are pregnant or planning pregnancy into general practice clinical software is feasible; however, a multifunctional antenatal screening tool, incorporating other psychosocial elements, was considered more useful than a stand-alone alcohol screening tool. Further work is needed with vendors and end-users to develop an acceptable tool that can be widely implemented. Issues with GP renumeration need also to be addressed to encourage alcohol screening pre-pregnancy and in the early months of pregnancy.
Exploring Decentralized Data Management: A Case Study of Changing Energy Suppliers in Germany
Authors: Rülicke Linda , Fehrle Florian , Martin Arne , Monti Antonello , Berkhout Volker , Warweg Oliver , Möller Sven 
Published: January 2024

Abstract
This paper presents an innovative approach to decentralized data management in the German energy market, focusing on the use of decentralized data management with the help of Data Spaces to facilitate the automated change of energy suppliers within 24 hours. The central focus of this research is the MakoMaker Space, a demonstrator project that employs the Connector from the Eclipse Data Space Components. The MakoMaker project demonstrates the successful automation of energy supplier changes, emphasizing the preservation of customer data sovereignty. It shows an alternative approach to the process, putting the customer into the center. Customers retain control of their data, which is accessible to providers as needed. While the paper discusses the potential for further enhancements, such as the integration of an identity provider and the development of a sustainable business model for service coordination, the primary focus is on the demonstrator’s successful application in a pilot setting.
Clinical characteristics and risk factors of severe COVID-19 in hospitalized neonates with Omicron variant infection: a retrospective study
Authors: Wei Huijing , Wei Fu , Peng Xiaokang , Liu Pan , Tang Li , Liu Yishan , Liao Shan , Bo Yajing , Zhao Yuzhen , Li Ruina , Liu Xiaoguai , Ji Fanpu 
Published: January 2024

Abstract
Background
Previous study on coronavirus disease 2019 (COVID-19) in neonates was limited, especially in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) Omicron variant. This study aims to analyze the clinical characteristics and identify risk factors associated with severe COVID-19 in neonates infected with Omicron variant.
Methods
The study population was neonates with COVID-19 who were admitted to The Affiliated Children’s Hospital of Xi’an Jiaotong University in northwest China, from December 10, 2022 to January 20, 2023. Chinese Center for Disease Control and Prevention (CDC) announced that all local COVID-19 cases were infected with Omicron variant during the study period. Clinical and laboratory data was collected retrospectively. We used logistic regression analysis to investigate the risk factors for severe COVID-19, and derived odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) from it.
Results
A total of 108 neonates have a median age of 18.1 days (interquartile range 9.4–23.0) for diagnosis of COVID-19 including 84 in mild group and 24 in severe group. Of them, 6.5% were premature and 22.2% had severe infection. There were no deaths. The most common clinical manifestations were fever (88.9%) and cough (55.6%), with 5 cases (4.6%) complicated by pneumonia. 4 cases (3.7%) received respiratory support, including 2 cases of high-flow oxygen and 2 cases of non-invasive ventilation. Gestational age at birth (OR: 0.615; 95% CI: 0.393–0.961), neutrophil count (NEU) (OR:0.576; 95% CI : 0.344–0.962) and lymphocyte count (LYM) (OR: 0.159; 95% CI: 0.063–0.401) were independent risk factors for severe COVID-19. The combination of NEU and LYM had the largest receiver operating characteristic area under the curve [0.912 (95% CI:0.830–0.993)] for identifying severe COVID-19, with a sensitivity of 0.833 and a specificity of 0.917.
Conclusions
The general presentations and outcomes of neonatal COVID-19 caused by Omicron variant were not severe and very few patients required respiratory support. The simultaneous decrease in NEU and LYM can be used to identify severe infection.
The Relationship between Proactive Personality, Individual Innovation, and Mental Health among University Students
Authors: KILIC Mahmut , USLUKILIC Güllü , OCAL Nursel USTUNDAG 
Published: January 2024

Abstract

Purpose: The aim of this study was to determine the effects of proactive personality and individual innovation characteristics of university students on their mental health.
Methods: This cross-sectional study was conducted among students of Yozgat Bozok University in 2022. Data was collected using a sociodemographic information form, Individual Innovation Scale (IIS), Proactive Personality Scale (PPS), and the Depression-Anxiety-Stress Scale (DASS-21). The questionnaire forms were presented to students online through Google Forms.
Results: The proportion of students who rated their overall health as very good, moderate, or poor was 34.0%, 28.6%, and 37.4%, respectively. The mean scores for the anxiety, depression, and stress subscales of the DASS were 6.0±3.7, 6.8±4.4, and 7.4±3.8, respectively. The proportion of students with advanced or very advanced symptoms of anxiety, depression, and stress was 31.5%, 17.0%, and 9.8%, respectively. The PPS and IIS scores of the students, their age, and their parents' educational levels did not have a significant effect on the level of anxiety, depression, and stress symptoms.
Conclusion:Anxiety was found to be the most common mental health problem among university students, followed by depression and stress. There was no relationship between the students' proactive personality, individual innovation characteristics, and their mental health.
Strategy to achieve low-dielectric-constant for benzoxazine-phthalonitriles: introduction of 2,2'-bis[4-(4-Maleimidephen-oxy)phenyl)]propane by in-situ polymerization
Authors: Pu Zejun , Wu Fang , Wang Xu , Zhong Jiachun , Liu Xiaobo , Pan Yongke , Wang Yulu , Jiang Diyong , Ning ZhongPei 
Published: January 2024

Abstract

With the upgrading demand of high-frequency and high-speed communication field, it is imperative to develop low dielectric constant (Low-k) materials with higher temperature resistance. In the study, the thermosetting bi-functional benzoxazine-phthalonitrile bearing pendant allyl groups (Boz-ph) was modified with the 2,2'-bis[4-(4-Maleimidephen-oxy)phenyl)]propane (BMI-80). Specifically, the BMI-80 was reacted with the pendant allyl groups of Boz-ph by in-situ polymerization, and a series of high-performance Boz-ph/BMI-80 resins were synthesized. The effect of different proportions of Boz-ph/BMI-80 resins on the curing behavior, thermal stability, mechanical and dielectric properties was investigated. With the introduction of BMI-80, the microstructure of cured Boz-ph/BMI-80 resins was changed from brittle fracture to ductile fracture. Compared with pure Boz-ph (70.1 MPa), the flexural strength of Boz-ph/BMI-80-100% is up to their maximums of 102.8 MPa. Moreover, the Boz-ph/BMI-80 resins showed high glass transition temperature (Tg=325~333℃), low water absorption (less than 2.5%) and good dielectric properties. The dielectric properties improved with the increase of BMI-80 content, and the dielectric constant and dielectric loss of Boz-ph/BMI-80-100% were 3.51 and 0.008 (at 10 MHz). This work suggested that the Boz-ph/BMI-80 resins had great potential to be used as the matrix of the high-temperature and high-frequency copper-clad laminates.
Production Chain Modeling based on Learning Flow Stochastic Petri Nets
Authors: Mesmia Walid Ben , Barkaoui Kamel 
Published: January 2024

Abstract

In this study, we propose a model called LFSPN, which serves as an extension of stochastic Petri nets dedicated to the multi-agent systems paradigm. The main objective is to specify, verify, validate, and evaluate the flow of materials within an automated production chain. We illustrate the practicality of our model by engaging in a systematic process of modeling and simulating a production chain involving material flow. To evaluate the performance, we employ a mobile learning agent, which has distinct characteristics, namely mobility and learning. The distinctive characteristics of the learning agent are manifested in two key behaviors: mobility and learning. Notably, the learning agent is equipped with a flexible learning algorithm that integrates stochastic elements based on transitions. We validate the effectiveness of our model by performing a comparative analysis with similar existing works. The advantages of our LFSPN model are twofold. Firstly, it offers a representation with two levels of abstraction: a graph representing the classic components of an SPN, and an additional layer encompassing the learning and migration aspects inherent to a mobile learning agent. Secondly, our model stands out for its flexibility and simulation simplicity.
Clinical utility of pegfilgrastim on day 3 of preoperative docetaxel, cisplatin and 5-fluorouracil chemotherapy in elderly patients with resectable esophageal cancer
Authors: Ikeda Go , Yamamoto Shun , Azuma Ikuko , Kadono Toru , Ohara Akihiro , Itoyama Mai , Hirose Toshiharu , Yokoyama Kazuki , Honma Yoshitaka , Hashimoto Taiki , Sekine Shigeki , Ishiyama Koshiro , Oguma Junya , Daiko Hiroyuki , Iwakiri Katsuhiko , Kato Ken 
Published: January 2024

Abstract
Background
Preoperative docetaxel, cisplatin, and 5-fluorouracil (DCF) has become the standard treatment for resectable esophageal squamous cell carcinoma (ESCC) based on the results of the JCOG1109 trial. However, preoperative DCF is associated with a high frequency of febrile neutropenia (FN), especially in elderly patients with risk factors for FN. The utility of primary prophylactic pegfilgrastim (PPP) on day 3 of preoperative DCF for preventing FN was demonstrated in a Phase II study, but it did report comparison data in elderly ESCC patients. We aimed to evaluate the utility of PPP in these patients.
Methods
We retrospectively evaluated the clinical utility of PPP on day 3 of preoperative DCF in elderly patients with resectable ESCC. The patients were divided into a day 3 pegfilgrastim group (D3PG) and a no pegfilgrastim group (NPG). The incidence of FN and grade ≥ 3 neutropenia, histopathological effects, and relapse-free survival (RFS) were compared between the groups.
Results
Thirty patients were enrolled in each group. FN was observed in 3.3% of patients in the D3PG and 26.6% of those in the NPG (p = 0.026), and grade ≥ 3 neutropenia was observed in 10% and 70%, respectively (p < 0.001). The pathological complete response rate was 24.1% in the D3PG and 33.3% in the NPG (p = 0.436); the respective 3-year RFS rates were 70.1% and 57.1% (p = 0.304).
Conclusion
PPP on day 3 of preoperative DCF significantly reduced the risks of FN and grade ≥ 3 neutropenia in elderly patients with ESCC. There was no significant difference between the groups in histological effects or RFS.
A Robust Network-based Spatiotemporal Analysis of Filamentous Structures
Authors: Nikoloski Zoran , Østerlund Isabella , Ma Zhiming , Miao Yansong , Persson Staffan 
Published: January 2024

Abstract

The actin cytoskeleton forms a dynamic network composed of filaments that remain flexible when bundled up, leading to complex filamentous structures in plant cells. Understanding the properties of these filamentous structures under different conditions and in different cell types can provide insight into their function. Yet, despite developments in the study of the plant actin cytoskeleton, it remains challenging to segment and identify actin filamentous structures, preventing quantification of their spatiotemporal properties. To address this problem, we devised a network-based approach termed Graph of Filaments over Time (GraFT) to trace and track filamentous structures in cytoskeleton networks extracted from imaging data. Our comparative analyses using both synthetic and real-world actin cytoskeleton networks of Arabidopsis thaliana hypocotyls exposed to different treatments demonstrated that GraFT accurately traces and tracks actin filamentous structures. Moreover, GraFT facilitates automated quantification of properties for filamentous structures, providing fine-grained insights of effects of different treatments on the level of individual structures. Therefore, GraFT offers a substantial step towards an automated framework facilitating robust spatiotemporal studies of the plant actin cytoskeleton.
Relationship between metabolically healthy overweight/obesity and risk of type 2 diabetes in different ethnicity: A prospective cohort study in southwest China
Authors: Wang Xin , Wu Yanli , Wang Yiying , Zhou Jie , Liu Tao 
Published: January 2024

Abstract

Background To estimate and compare the association between metabolically healthy overweight/obesity (MHO) and the risk of type 2 diabetes (T2DM) among different ethnic groups in southwest China, while also exploring possible ethnic differences.
Methods This is a prospective cohort study of 6,820 participants in Southwest China. MHO was defined as body mass index (BMI) ≥24 kg/m2 and the presence of ≤1 component of metabolic syndrome. Cox proportional risk models were utilized to analyze the association between MHO and the risk of T2DM.
Results The median follow-up time was 6.58 years,during which 708 new cases of T2DM were diagnosed. In the total population, after adjusting for confounding factors, MHO was found to increase the risk of T2DM compared to metabolically healthy normal weight (MHNW) individuals (HR=1.49, 95% CI: 1.15-1.93). Subgroup analysis by ethnicity revealed that, MHO increased the risk of T2DM in the Han population (HR=1.64, 95% CI: 1.21-2.23), however, the difference was not statistically significant in the ethnic minority population.The results of sensitivity analysis further supported the robustness of these findings. Among the subgroups, the association between MHO and T2DM was not statistically significant in the total population and the Han population subgroup aged ≥45 years (p>0.05), but it was associated with an increased risk of diabetes in all other subgroups (p<0.05).
Conclusion In the Han population of Guizhou Province, MHO was associated with an increased risk of T2DM compared to MHNW, whereas no such association was found in ethnic minorities.
PSO-based contingency management strategy assessment of distribution system using multiple severity indices
Authors: Wahby Ghada , Morad Mohammed , El-Gaafary Ahmed A.M. , Elbaset Adel A. 
Published: January 2024

Abstract
Due to the competitive nature of the electrical market, ensuring the electrical system's secure, efficient, and cost-effective functioning is one of the most crucial challenges. This paper presents a new contingency management strategy for distribution systems to successfully deal with routine maintenance by applying the appropriate control action while taking operational requirements for voltage deviation and transmission line overloading into account. The proposed management strategy can help electricity company operators: 1) reduce generation costs by reducing the number of generators, 2) meet the required load demand with the least amount of generation consumption, and 3) ensure the system is secure so that all load lines are not loaded to their maximum power. The effectiveness of the proposed strategy is assessed using a multiple severity indices, which includes five indices. The five severity indices are real power performance index (PI), voltage deviation index (VDI), active power loss index (PLI), reactive power loss index (QLI), and line utilization factor (LUF). The proposed contingency management strategy has been implemented in MATLAB software utilizing the particle swarm optimization (PSO) technique for typical IEEE 14-bus distribution system operation considering three probable contingency cases. Case A considers the failure of a bus-containing generator. Case B considers the failure of a transmission line. Case C considers the failure of two transformers. The simulation results indicate a satisfactory range of proposed indices within safe limits.
Numerical Simulation and Tool Parameter Optimization of Aluminum Alloy Transmission Intermediate Shell
Authors: Zhao Haiyue , Cao Yan , Bai Yu , Yao Hui , Tian Chunlei 
Published: January 2024

Abstract
Due to its challenging manufacturing and intricate morphology, the aluminum alloy transmission intermediate shell used in vehicle transmission has been the focus of many academic studies. In this study, the three-dimensional cutting model is condensed to a two-dimensional cutting model and utilized to simulate the finishing process of an aluminum alloy workpiece using the finite element modeling program DEFORM-3D. Through orthogonal testing and range analysis, the impact of integral end mill side edge parameters on cutting performance was investigated. It is determined that tool chamfering has a greater impact on cutting performance than tool rake and relief angles, that chamfering width has the most impact on cutting force, and that chamfering angle has the greatest impact on cutting temperature. The workpiece's surface roughness is tested during a cutting experiment, and an analysis of the data reveals that the finite element simulation model is accurate and the orthogonal test method is reasonable. The tool chamfer has a greater impact on roughness than the tool rake angle and relief angle. The tool settings are further optimized using the firefly method. By examining the data, it is determined that the prediction model is correct and the optimization model is reasonable. The cutting efficiency is higher and the surface quality is better when the chamfer width is 0.17mm and the chamfer angle is 7.3° or 18.3°. Therefore, optimizing the side edge parameters of the integral end mill during the finishing process of a thin-walled aluminum alloy shell has practical technical value.
Choice impulsivity after repeated social stress is associated with increased perineuronal nets in the medial prefrontal cortex
Authors: Martinez Christopher A , Pantazopoulos Harry , Gisabella Barbara , Stephens Emily T , Garteiser Jacob , Arco Alberto Del 
Published: January 2024

Abstract
Repeated stress can predispose to substance abuse. However, behavioral and neurobiological adaptations that link stress to substance abuse remain unclear. This study investigates whether Intermittent Social Defeat (ISD), a stress protocol that promotes drug-seeking behavior, alters intertemporal decision-making and cortical inhibitory function in the medial prefrontal cortex (mPFC). Male Long Evans rats were trained in a delay discounting task (DDT) where rats make a choice between a fast (1s) small reward (1 sugar pellet) and a large (3 sugar pellets) reward that comes with a time delay (10 or 20s). A decreased preference for delayed rewards was used as an index of choice impulsivity. Rats were exposed to ISD and tested in DDT 24 hours after each stress episode, and one-and two-weeks after the last stress episode. Immunohistochemistry was performed in rats brains to evaluate perineuronal nets (PNNs) and parvalbumin GABA interneurons (PV) labeling as markers of inhibitory function in the mPFC. In the DDT, ISD significantly decreased the preference for delayed large rewards, in the short and long term. ISD also increased the density of PNNs in the mPFC. These results suggest that increased choice impulsivity and cortical inhibition predispose animals to seek out rewards after stress.