bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of systematic standard and Nordic Walking training on exercise tolerance and body weight components in women over 55 years of age
Authors: Kopec Dorota , Witkowska Anna , Nowak Zbigniew , Nowak-Lis Agata 
Published: October 2024

Abstract

Background. The simplest and the most common form of physical activity used by people in different ages is walking. One of the modification of this form of activity is Nordic walking. The aim of the study was to analyze the changes occurring before and after training in body mass components and exercise tolerance on the influence of physical activity in women (>55 years of age) using systematic and varied forms of march training .
Material and methods. 66 women aged 55-64 were examined and divided into two groups: I - 32 persons, participating in the marching training (without poles). II - 34 persons taking part in the marching training with poles. Walking pace during training: from 5 to 6 km/h. The whole training program lasted 12 weeks. Electrocardiographic exercise test, and body composition analysis were performed in each of the examined women before and after the training program.
Results. There were significant changes in VO2peak both in standard walking group and Nordic walking, distance and test duration. In the standard walking group there were significant changes in HRpeak. The evaluation of body composition in both groups concerned significant changes in the same indicators at the same level of significance: percentage fat content, percentage water content inside and outside the cell . There were no correlation between body composition and the results of the exercise test in the standard walking group. In Nordic walking group the correlations were found between the changes in percentage of body fat, body weight, visceral obesity and fitness scores, changes in metabolic cost associated with the exercise test, changes in percentage of body fat content and increase in the duration of the exercise test, as well as percentage changes in body fat content and increase in the distance of the test. After trainings, in both studied groups, a similar level of significant changes in the same body mass indices was obtained in relation to the other components, the results were not significant. The relation between change in exercise tolerance level and changes in body mass composition was shown only in the Nordic walking group
Gut Microbiota Mediates Prenatal METH Exposure-Induced Anxiety- and Depression-Like Behaviors by Modulating the Wnt Signaling Pathway
Authors: Li Jia-Hao , Liu Jia-Li , Li Xiu-Wen , Yang Jian-Zheng , Liu Yi , Hsu Clare , Chen Long , Zeng Jia-Hao , Chen Li-Jian , Zhang Kai-Kai , Xie Xiao-Li , Wang Qi 
Published: October 2024

Abstract

Background: Prenatal methamphetamine (METH) exposure poses a significant threat to offspring health, including anxiety and depression-like behaviors. This study investigated the neurotoxicity of prenatal METH exposure in offspring and explored the underlying mechanisms.
Results: Our results showed that prenatal METH exposure induced anxiety- and depression-like behaviors in offspring, accompanied by increased hippocampal inflammation and decreased hippocampal neurogenesis. Importantly, offspring exposed to prenatal METH exhibited gut microbiota dysbiosis, characterized by a reduced abundance of beneficial bacteria and an increased abundance of pro-inflammatory bacteria. To assess the involvement of the gut microbiota, we conducted cross-fostering and inulin supplementation experiments. Cross-fostering with control dams partially reversed METH-induced behavioral deficits, suggesting a role for maternal microbiota transmission. Inulin supplementation, both during pregnancy and in offspring, effectively remodeled the gut microbiota composition and alleviated anxiety and depression-like behaviors. This effect was associated with reduced hippocampal inflammation and increased hippocampal neurogenesis, potentially mediated by activation of the canonical Wnt signaling pathway.
Conclusions: Gut microbiota mediates prenatal METH exposure-induced anxiety- and depression-like behaviors by modulating the WNT signaling pathway. This study provides evidence for the critical role of the gut microbiota in mediating the neurodevelopmental consequences of prenatal METH exposure, and highlights the potential of inulin supplementation as a promising therapeutic strategy.
TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles
Authors: Liu Guiliang , Qiao Guanren , Quan Guorui , Yu Jiawei , jia shujun 
Published: October 2024

Abstract

While modern Autonomous Vehicle (AV) systems can develop reliable driving policies under regular traffic conditions, they frequently struggle with safety-critical traffic scenarios. This difficulty primarily arises from the rarity of such scenarios in driving datasets and the complexities associated with predictive modeling of multiple vehicles. The simulation of safety-critical traffic events that can support the testing and refinement of AV policies is an essential challenge to be addressed. In this paper, we introduce TrafficGamer, which facilitates game-theoretic traffic simulation by viewing common road driving as a multi-agent game. When we evaluate the empirical performance across various real-world datasets, TrafficGamer ensures both the \textit{fidelity} and \textit{exploitability} of the simulated scenarios, guaranteeing that they not only statically aligned with real-world traffic distribution but also efficiently capture equilibriums for representing safety-critical scenarios involving multiple agents. Additionally, the results demonstrate that TrafficGamer provides highly flexible simulations across various contexts. Specifically, we demonstrate that the generated scenarios can dynamically adapt to equilibriums of varying tightness by configuring risk-sensitive constraints during optimization. To the best of our knowledge, TrafficGamer is the first simulator capable of generating more realistic and adaptable traffic simulations based on the game-theoretic oracles, enhancing decision-making for autonomous agents and improving the overall quality of safety-critical scenarios. We have provided a demo webpage for the project at: https://qiaoguanren.github.io/trafficgamer-demo/.
Enhancing Lubrication Performance of Water-Lubricated Bearings Using Combined Effects of Herringbone Groove and Porous Bush
Authors: Huang Xun , Zhang Shanwen 
Published: October 2024

Abstract

To expand effective working speed range of machine tool spindle with the fluid film bearings, this study proposes a novel hybrid porous herringbone groove journal bearing (PHGJB) by integrating herringbone grooves and a porous bush into a water-lubricated bearing. However, existing literature lacks a model that accurately describes the lubrication behavior of the PHGJB. To address this gap, this paper presents a lubrication model for the PHGJB that incorporates velocity-slip, angular misalignment and turbulence effects. This model employs the boundary-fitted coordinate system and finite control volume methods to address the challenges posed by the herringbone grooves and three-dimensional flow within the porous bush. The performances of the PHGJB, a typical hydrodynamic herringbone groove journal bearing (HGJB), and a hydrostatic porous plain journal bearing (PPJB) are compared. Differences between the calculated results from the one- and three-dimensional flow models for the flow within the porous bush are also analyzed. Results show that the PHGJB significantly improves stiffness at low speeds, while enhancing stability and controlling temperature rise at high speeds compared to the HGJB and PPJB. Consequently, it offers a broader operating speed range. The proposed model offers an effective tool for structural design and performance analysis of PHGJBs.
Development and Longitudinal Neurocognitive Functioning in Mucopolysaccharidosis type IIIC: A Case Study
Authors: Anikiej-Wiczenbach Paulina , Limanówka Monika , Mazurkiewicz-Bełdzińska Maria , Pierzynowska Karolina , Węgrzyn Grzegorz , Wierzba Jolanta , Milska-Muza Katarzyna , Mański Arkadiusz 
Published: October 2024

Abstract

This case study presents a comprehensive analysis of the neurocognitive, medical, and developmental functioning of a 9-year-old girl diagnosed with mucopolysaccharidosis type IIIC (MPS IIIC). Genetic testing revealed a homozygous pathogenic variant of the HGSNAT gene (c.1872C>A), typically associated with severe neurodegeneration. However, her clinical presentation has been milder compared to the expected progression, based on her genetic profile and residual enzyme levels. This study incorporates data from various assessments, including yearly intelligence quotient (IQ) scores over the past four years, adaptive skills evaluated by parents and two teachers, neuropsychological functioning, MRI brain imaging, and extensive medical tests. The results revealed that the child maintains the majority of her cognitive skills at a stable level, except for a marked decline in working memory. The study highlights the complexity and variability in the progression of MPS IIIC, emphasizing the need for early diagnosis, regular monitoring, and a multidisciplinary approach. This case highlights the need to consider individual variability in MPS IIIC progression, even when genetic and biochemical markers suggest a more severe course.
M01 tool: An automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures
Authors: Sheikholeslami Mahsa , Nazari Mohammad Hassan , Fassihi Afshin 
Published: October 2024

Abstract

The field of computational drug design is rapidly advancing, necessitating innovative methods to enhance the efficiency and accuracy of ligand-receptor interactions. We introduce M01 tool, a comprehensive computational package designed to facilitate the generation and docking of small molecule-peptide hybrids. M01 tool integrates several established tools, including RDKit and EasyDock, into a user-friendly platform that automates the workflow from hybrid generation to docking simulations. Key features include an intuitive interface for visualizing molecules and selecting connection points, automated receptor preparation from UniProt or PDB IDs, generation of default docking configuration files, ligand preparation and docking using EasyDock, and calculation of molecular descriptors related to ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties. M01 tool aims to simplify the use of advanced computational tools for researchers with limited chemistry expertise, providing a robust and streamlined solution for hybrid design and docking studies. Validation using peptide-alkoxyamine hybrids demonstrated M01 tool's capability to generate and dock over 8,000 unique hybrid molecules, confirming its potential as a powerful tool in drug design.
A probability prediction model for flood disasters based on Multi-layer Perceptron
Authors: Wang Yiquan , Zhang Jialin , Chang Yuhan 
Published: October 2024

Abstract

Flood disasters are characterized by high frequency, severe destructive power, and extensive impact. The prediction of flood disasters holds great significance. This paper proposes a flood disaster prediction model based on a multi-layer perceptron (MLP). Firstly, the model employs the Spearman correlation coefficient and random forest feature importance algorithm to identify the most influential feature indicators. Subsequently, an MLP neural network is established, trained, and optimized. Experimental findings demonstrate that the model accurately forecasts the likelihood of flood disasters through sample processing, achieving a coefficient of determination of approximately 85.27%.
“One-Stop Shop for Clients with Serious Mental Illness Who Often Use Substances”: A Qualitative Study on Assertive Community Treatment Clinicians’ Perspectives on Managing Substance Use Disorder
Authors: Adebowale Akinade , Ganjavi Hooman , Walke Jennifer 
Published: October 2024

Abstract

Assertive community treatment (ACT) can be an integrated treatment model for peoples with serious mental illness (SMI), many of whom have co-occurring substance use disorder (SUD). With its capacity to provide integrated care, ACT presents opportunities for the effective management of both mental illness and addiction. This study aimed to explore the role of ACT in managing concurrent disorders (CD), specifically focusing on the barriers and facilitators in treating SUD among peoples with SMI, as perceived by ACT clinicians. Semi-structured interviews were conducted with five ACT clinicians, from which five overarching themes and the 28 sub-themes were identified through thematic analysis. These established the role of ACT in managing CD, and identified systemic, clinician, and client-related barriers and facilitators in the management of SUD. The findings highlight the potential for integrating mental health and addiction services more effectively within ACT by addressing these barriers and enhancing the management of CD.
Application of Aalen’s additive regression model and the Cox proportional hazards to model HIV/AIDS progression
Authors: Shoko Claris , DelsChikobvuon  , Bessong Pascal , Manyeagae Gorata 
Published: October 2024

Abstract

Over thirty-nine million individuals globally are living with HIV, and has claimed millions of lives globally over the past decades. The study's aims to determine variables associated HIV/AIDS progression in individuals receiving antiretroviral therapy. The research employed a cohort analysis of surveillance data from the HIV Wellness Clinic in the province of Limpopo, South Africa, for 318 HIV-positive patients on antiretroviral therapy (ART). This study uses Aalen's additive regression (AAR) and Cox regression (CR) models in comparison. HIV/AIDS progression for patients receiving treatment therapy has a significant association with CD4 baseline, gender, age, and development of tuberculosis during treatment, according to results from AAR and CR models. With a very modest p value < 0.01, both models demonstrate that the CD4 baseline is highly significant when compared to the other factors in the models. Compared to female patients, male patients experience higher rates of immune system degradation. Compared to individuals with baseline CD4 counts over 350 cells/mm3, patients with baseline CD4 counts below 350 cells/mm3 have higher rates of immunological recovery. This study has reinforced the need for early detection of TB in people living with HIV so that these two diseases are concurrently managed for the benefit of the infected individual.
Immunomagnetic separation for the enrichment of trace enrofloxacin and analysis of degradation byproducts in water
Authors: Yang Ruonan , Zhu Lei , Gao Yuxiao , Li Bingzhi , Fang Longxiang , Meng Shunlong , Song Chao 
Published: October 2024

ABSTRACT
The presence of trace antibiotics in water can lead to the development of drug-resistant bacterial strains, posing risks to ecosystems and human health. Immunomagnetic separation (IMS) using magnetic nanoparticles (MNPs) is an effective technique for targeted enrichment. This study established and optimized a separation system for the immunomagnetic microsphere enrichment of enrofloxacin (ENR) antibiotics, achieving efficient enrichment and isolation of ENR. To address potential elution degradation, an analysis of ENR degradation pathways and toxicity assessment of degradation products was performed. The study manifested the successful conjugation of antibodies to magnetic microspheres, leading to a 97.68% separation efficiency for ENR in water through IMS. Specifically, 1 mg of MNP@Ab could specifically bind to 1.5 ng of ENR at 37 °C for 30 min, and the elution rate exceeded 83%. No degradation products of ENR were detected during the enrichment and isolation procedures. Nevertheless, extending the elution time to 1 h disclosed three major degradation pathways with higher toxicity risks than ENR based on ecological risk assessment. To strictly control the elution temperature and elution time, the increase in temperature and time will heighten the risk of degradation products. This study presents an efficient strategy for water treatment and environmental protection.
Behavioral Nudging With Generative AI for Content Development in SMS Health Care Interventions: Case Study
Authors: Harrison Rachel M , Lapteva Ekaterina , Bibin Anton 
Published: October 2024

BackgroundBrief message interventions have demonstrated immense promise in health care, yet the development of these messages has suffered from a dearth of transparency and a scarcity of publicly accessible data sets. Moreover, the researcher-driven content creation process has raised resource allocation issues, necessitating a more efficient and transparent approach to content development.ObjectiveThis research sets out to address the challenges of content development for SMS interventions by showcasing the use of generative artificial intelligence (AI) as a tool for content creation, transparently explaining the prompt design and content generation process, and providing the largest publicly available data set of brief messages and source code for future replication of our process.MethodsLeveraging the pretrained large language model GPT-3.5 (OpenAI), we generate a collection of messages in the context of medication adherence for individuals with type 2 diabetes using evidence-derived behavior change techniques identified in a prior systematic review. We create an attributed prompt designed to adhere to content (readability and tone) and SMS (character count and encoder type) standards while encouraging message variability to reflect differences in behavior change techniques.ResultsWe deliver the most extensive repository of brief messages for a singular health care intervention and the first library of messages crafted with generative AI. In total, our method yields a data set comprising 1150 messages, with 89.91% (n=1034) meeting character length requirements and 80.7% (n=928) meeting readability requirements. Furthermore, our analysis reveals that all messages exhibit diversity comparable to an existing publicly available data set created under the same theoretical framework for a similar setting.ConclusionsThis research provides a novel approach to content creation for health care interventions using state-of-the-art generative AI tools. Future research is needed to assess the generated content for ethical, safety, and research standards, as well as to determine whether the intervention is successful in improving the target behaviors.
Auricular Therapy to Control Pain in Women With Breast Cancer: Protocol for Systematic Review and Meta-Analysis
Authors: Ruela Ludmila Oliveira , Moura Caroline de Castro , Shieu Bianca , Cho Yu-Min , Yeh Chao Hsing , Pimentel Franklin Fernandes , Stefanello Juliana 
Published: October 2024

Background
The increased incidence of breast cancer implies the appearance of frequent symptoms associated with disease and treatments, such as pain. For the management of this issue, auricular therapy has been used in a complementary manner, especially for its safety and analgesic action.

Objective
This systematic review aims to summarize available evidence on the effects of auricular therapy on pain in women undergoing breast cancer treatment.

Methods
This is a systematic review that includes randomized controlled trials that evaluated the effects of auricular therapy on pain in women with breast cancer, as compared with other interventions (sham or placebo auricular therapy, other nonpharmacological interventions, and routine pain treatments) during the treatment of the disease. Pain, whether induced or not by cancer treatments, is the main outcome to be evaluated. The search for the studies was performed in the following databases: MEDLINE through PubMed, CINAHL, CENTRAL, Embase, Web of Science, Scopus, VHL, TCIM Americas Network, CNKI, and Wanfang Data. The reviewers have independently evaluated the full texts, and in the near future, they will extract the data and assess the risk of bias in the included studies. The certainty of the evidence will be assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE), and a meta-analysis will be carried out to evaluate the intervention, considering the homogeneity of the results, using the Cochran Q test and quantified by the Higgins inconsistency index. The guidelines of the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) have been respected in the elaboration of this protocol.

Results
The records screening stage has been completed, and the synthesis and meta-analysis were conducted in February 2024. We hope to have finished the preparation of the paper for publication by September 2024. Review reporting will follow standard guidelines for reporting systematic reviews. The results will be published in peer-reviewed scientific journals.

Conclusions
This review will compile the strength of evidence for the use of auricular therapy in the management of pain in women with breast cancer during the treatment of the disease, identifying gaps in the available evidence as well as assisting health professionals in indicating the intervention for clinical practice.

Trial Registration
PROSPERO CRD42022382433; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=382433

International Registered Report Identifier (IRRID)
DERR1-10.2196/55792