bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visual tracking of a moving target in 360-degree virtual reality: Analysis of the effects on attention and mood
Authors: Sellner Tabea , Ehmann Paul , Spielmann Jan , Gogolla Falk , Rösgen Ann-Kathrin , Meyer Jan , Schönfeld Mircea Ariel , Flor Herta 
Published: January 2024

Abstract

The training of attentional capacities is an important part of many rehabilitative efforts, for example, in the treatment of stroke. Considerable research is currently focusing on virtual reality applications. The Helix-Arena is an innovative training device, which enables a multimodal training in to a 360-degree virtual environment. A pursuit training that is suited for rehabilitation purposes was developed for the Helix-Arena. This study evaluates the effectiveness of the pursuit training in the Helix-Arena in 34 healthy participants. The experimental group (EG, N=19) participated in four training sessions in the Helix-Arena over a period of two weeks, the control group (CG, N=15) completed similar training sessions in a non-VR environment on a PC. During each training session, changes in attention (Test of Attentional Performance battery, TAP) and general mood (Positive and Negative Affect Schedule, PANAS) were assessed pre and post training. In the EG compared to the CG, a significantly higher pre to post improvement was observed for the TAP subtest attention shift as well as for the positive subscale of the PANAS. These results suggest advantages of the virtual reality environment for attentional and affective processes. The VR training can thus improve not only cognitive abilities but also training motivation. In a next step, the training can be used with patients in a rehabilitation context.
Integrating Optical and Electrical Sensing with Machine Learning for Advanced Particle Characterization
Authors: Kokabi Mahtab , Tayyab Muhammad , Rather Gulam M. , Khamseh Arastou Pournadali , Cheng Daniel , DeMauro Edward P. , Javanmard Mehdi 
Published: January 2024

Abstract

Particle classification plays a crucial role in various scientific and technological applications, such as differentiating between bacteria and viruses in healthcare applications or identifying and classifying cancer cells. This technique requires accurate and efficient analysis of particle properties. In this study, we investigated the integration of electrical and optical features through a multimodal approach for particle classification. Machine learning classifier algorithms were applied to evaluate the impact of combining these measurements. Our results demonstrate the superiority of the multimodal approach over analyzing electrical or optical features independently. We achieved an average test accuracy of 94.9% by integrating both modalities, compared to 66.4% for electrical features alone and 90.7% for optical features alone. This highlights the complementary nature of electrical and optical information and its potential for enhancing classification performance. By leveraging electrical sensing and optical imaging techniques, our multimodal approach provides deeper insights into particle properties and offers a more comprehensive understanding of complex biological systems.
Integrative Analysis of Homologous Recombination Repair Patterns Unveils Prognostic Signatures and Immunotherapeutic Insights in Breast Cancer
Authors: Li Yan-Shuang , Jiang Hong-Chuan 
Published: January 2024

Abstract
Background: Globally, breast cancer (BC) is the leading cause of female death and morbidity. Homologous recombination repair (HRR) is critical in BC. However, the prognostic role and immunotherapy response of HRR in BC remains to be clarified.
Methods: Firstly, we identified HRR types in BC samples from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) dataset (GSE42568) based on 65 HRR genes (HRRGs). A differentially expressed genes (DEGs) list for different HRR types was generated. Then, the influences of gene sets composed of these DEGs on biological pathways and BC prognosis were explored. Next, we identified gene clusters based on gene sets composed of DEGs. Genes associated with prognosis for DEGs were identified using univariate Cox regression. Finally, the HRR score was constructed based on genes associated with prognosis. We analyzed how HRR score correlates with tumor mutation burden (TMB), immune cell infiltration (ICI), and immunotherapy response.
Results: Three HRR clusters were discovered. HRR subtype A demonstrated decreased infiltration and a high number of immunosuppressive cells with a poor prognosis. DEGs among various HRR types were predominantly enriched in cell cycle and genomic stability-related pathways. The prognostic model based on sixteen DEGs accurately predicted BC prognosis. The HRRGs were differentially expressed in three DEGs clusters. TMB, ICI, and immunotherapy responses differed significantly between the high and low HRR groups (HSG, LSG). The HSG was distinguished by a high degree of ICI and low TMB. LSG had a better response to anti-PD-1 or anti-PD-1 and anti-CTLA4 combination therapy.
Conclusion: This work revealed that HRR patterns would contribute to predicting prognosis and immunotherapy response in BC, which may benefit patients.
Perceived barriers and opportunities of providing quality family planning services among Palestinian midwives, physicians and nurses in the West Bank: A qualitative study Authors’ details
Authors: Hassan ٍDr. Sahar , Masri Hadeel , Sawalha Israa , Mortensen Berit 
Published: January 2024

Abstract
Background:
Despite advancements in family planning (FP) services and increased access, several barriers persist in the Occupied Palestinian territory (oPt), blocking women’s access to suitable, high-quality and equitable FP services. The aim of this study was to explore knowledge and training regarding contraception among midwives, physicians and nurses engaged in providing FP services. Furthermore, it seeks to understand how healthcare providers perceive their abilities, barriers and opportunities in providing good quality FP services.
Methods:
A qualitative study was undertaken from August to September 2022 in seven Primary Health Care (PHC) clinics distributed in three governorates and operating under the Palestinian Ministry of Health (MoH) in the West Bank, oPt. Semi-structured, in-depth face-to-face interviews were conducted with 13 health providers, using an interview guide in Arabic language. Transcripts were subsequently analyzed using the six phases of reflexive thematic analysis.
Results:
FP services face various challenges, including shortages in resources such as staff, supplies, infrastructures and FP methods. Midwives possess significant potentials to offer accessible, high-quality, efficient and equitable FP services, yet, their capacities remain underutilized, representing a missed opportunity for a country like Palestine. The study highlighted the landscape guide for quality FP services and the need for an updated continuous education and training, updated standardized guidelines and protocols and supportive supervision are needed across all levels of healthcare providers. Finally, providers reported a wide range of structural barriers to FP services.
Conclusions:
It is crucial to meticulously address both community-related and health system factors to enhance the fulfillment of FP needs and reduce unintended and closely spaced pregnancies. Policymakers should invest in the development of a comprehensive and holistic approach to FP services. This includes formulating supportive policies, capacity building of human resources and maintaining security of FP commodities.
Reliability, Validity and Measurement Invariance of the Difficulties in Emotion Regulation Scale-8 in Chinese Adolescents
Authors: Zhang Yali , Bian Yuewen , Zhang Fuhai 
Published: January 2024

Abstract
Objective At present, the Difficulties in Emotion Regulation Scale-8 (DERS-8) has not been tested in China, which limits cross-cultural research. Therefore, this study intends to test its reliability, validity and measurement invariance in Chinese adolescents.
Methods 424 participants were invited to complete the DERS-8 for the first time. In the second test, 586 participants filled in the DERS-8, General Anxiety Disorder Scale, Depression Scale and Emotion Regulation Scale. The interval between the two measurements was one month, and 104 adolescents participated in two measurements.
Results Each item of the DERS-8 had a good discrimination. Both exploratory and confirmatory factor analysis confirmed the one-factor model of the scale, and the fitness indicators were χ2/df=4.05，RMSEA=0.07，CFI=0.98，TLI=0.97. The internal consistency reliability coefficient, split-half reliability coefficient and test-retest reliability coefficient of the scale were 0.90、0.87and 0.66 respectively. The total score of DERS-8 was positively correlated with anxiety (r = 0.43, p < 0.01), depression (r = 0.41, p < 0.01), as well as negatively correlated with expression inhibition (r =﹣0.58, p < 0.01) and cognitive reappraisal (r =﹣0.61, p < 0.01). Furthermore, the multi-group CFA showed that the configural, metric, scalar, and strict invariances of the DERS-8 across gender were all acceptable.
Conclusion The Chinese version of DERS-8 meets the measurement standards and could be used to measure the Difficulties in Emotion Regulation in Chinese adolescents.
Ancient DNA study provides clues to leprosy susceptibility in medieval Europe
Authors: Bonczarowska Joanna H. , Caliebe Amke , Ӧzer Onur , Silva Nicolas da , Mejía Nicolás Mendoza , Pedersen Dorthe Dangvard , Boldsen Jesper , Larsen Lars Agersnap , Seeberg Lone , Søvsø Morten , Rieger Dirk , Prescher Andreas , Krause-Kyora Ben , Nebel Almut 
Published: January 2024

Abstract
Background
Leprosy is a chronic infectious disease caused by Mycobacterium leprae (M. leprae) that reached an epidemic scale in the Middle Ages. Nowadays, the disease is absent in Europe and host genetic influences have been considered as a contributing factor to leprosy disappearance. In this study, a case-control association analysis between multiple human leukocyte antigen (HLA) alleles and leprosy was performed in a medieval European population for the first time. The sample comprised 293 medieval individuals from 18 archaeological sites in Denmark (N = 16) and Germany (N = 2).
Results
Our results indicate that HLA-B*38 was associated with leprosy risk. Furthermore, we detected three novel variants that were possibly involved in leprosy susceptibility (HLA-A*23, DRB1*13 and DPB1*452). Interestingly, we noted a subtle temporal change in frequency for several alleles previously associated with infectious diseases, inflammatory disorders and cancer in present-day populations.
Conclusions
This study demonstrates the potential of ancient DNA in the identification of genetic variants involved in predisposition to diseases that are no longer present in Europe but remain endemic elsewhere. Although it is difficult to pinpoint the reason behind the temporal frequency shift, past epidemics of infectious diseases have likely influenced the HLA pool in present-day Europe.
Implementing Automatic Microservices Detection in Business Processes Using Association Rules
Authors: Mohamed DAOUD , Sabri Abdelouahed , Benslimane Djamal , Zougari Soundous , Zougari Ayoub 
Published: January 2024

Abstract
Microservice-oriented architectures are increasingly becoming the preferred architectural style over monolithic systems, both in academic research and industrial applications. This shift is largely due to microservices' ability to deconstruct large, monolithic applications into smaller, independent, highly cohesive, and loosely connected services.However, the process of identifying appropriate microservices is a significant challenge, which, if not addressed adequately, could hinder the effectiveness and benefits of transitioning to this architectural style. In this paper, we introduce an innovative method based on association rules to automate the identification of microservices within a business process. This technique leverages association analysis to uncover latent correlations among the attributes of various activities. Activities sharing similar attributes are then grouped into the same microservice categories. To validate and demonstrate the practicality of our method, we conduct a case study focusing on a bicycle rental system.
Exploring the Nexus of Sustainable Entrepreneurship: A Qualitative Inquiry into the Interplay of Inflation, Service Quality, and Technology Adoption in Business Processes within the TOE Framework
Authors: Cooper Mason , Bennett Noah , Hayes Isabella 
Published: January 2024

Abstract
This qualitative inquiry delves into the intersection of sustainable entrepreneurship, exploring the interplay among inflation, service quality, and technology adoption within the Technology-Organization-Environment (TOE) framework. The primary objective is to gain profound insights into the adaptive strategies employed by entrepreneurs, illuminating their commitment to sustainability amidst economic uncertainties. In adopting a qualitative research design, the study employed semi-structured interviews with entrepreneurs actively immersed in sustainable ventures. Thematic analysis served as the methodological lens, allowing for the systematic identification of patterns and connections within the collected data. The findings reveal the intricate dynamics of sustainable entrepreneurship. Entrepreneurs strategically navigate the challenges posed by inflation, showcasing innovative approaches such as dynamic pricing mechanisms. Service quality emerges as a linchpin, not merely as a transactional consideration but as a fundamental element fostering customer relationships. Moreover, technology adoption is unveiled as a transformative force, influencing both operational efficiency and the overarching sustainability of ventures within the TOE framework. Acknowledging the qualitative nature of the study, there is a recognition of the limitations in terms of generalizability. Future research endeavors could enrich the exploration by incorporating the perspectives of diverse stakeholders and broadening the sample, thereby enhancing the applicability of the study's insights. Practically, entrepreneurs stand to benefit from the study's findings by gaining practical insights for adeptly navigating economic uncertainties. The research underscores the significance of fostering customer relationships and strategically incorporating technology to align with sustainability goals. In the realm of societal implications, this study contributes significantly to the ongoing discourse on sustainable entrepreneurship. It emphasizes the broader benefits accruing to society when businesses are steadfastly committed to environmental and social responsibility. The originality and value of this research lie in its provision of unique insights into the interconnected dynamics of sustainable entrepreneurship. By shedding light on how entrepreneurs intricately balance economic viability with environmental and social goals, the study adds depth to the current understanding of sustainable business practices. As with any research endeavor, limitations are acknowledged. Sample specificity and potential researcher bias are recognized factors that may influence the generalizability of the findings. These constraints, however, do not diminish the valuable contributions made by this exploration into the multifaceted landscape of sustainable entrepreneurship.
Jeotgalibacillus haloalkaliphilus sp. nov., a novel alkaliphilic and halotolerant bacterium, isolated from the estuary of the Fenhe River into the Yellow River
Authors: Zhang Ya-Fei , Peng Yun-Lin , Xiao Yong-Hui , Yu Bing , Cao Ming-Yue , Zhang Zhi-Ling , Huang Le-Qun , Li Yi 
Published: January 2024

Abstract

A Gram-stain positive, aerobic, alkaliphilic and halotolerant bacterium, designated HH7-29T, was isolated from the estuary of the Fenhe River into the Yellow River in Shanxi Province, PR China. Growth occurred at pH 6.0–12.0 (optimum, pH 8.0–8.5) and 15–40℃ (optimum, 32℃) with 0.5–24% NaCl (optimum, 2–9%). The predominant fatty acids (> 10.0%) were iso-C15:0 and anteiso-C15:0. The major menaquinones were MK-7 and MK-8. The polar lipids were phosphatidylglycerol, diphosphatidylglycerol and two unidentified phospholipids. Phylogenetic analyses based on the 16S rRNA gene sequence revealed that strain HH7-29T was a member of the genus Jeotgalibacillus, exhibiting high sequence similarity to the 16S rRNA gene sequences of Jeotgalibacillus alkaliphilus JC303T (98.4%), Jeotgalibacillus salarius ASL-1T (98.1%) and Jeotgalibacillus alimentarius YKJ-13T (98.1%). The genomic DNA G + C content was 43.0%. Gene annotation showed that strain HH7-29T had lower protein isoelectric points (pIs) and possessed genes related to ion transport and organic osmoprotectant uptake, implying its potential tolerance to salt and alkali. The average nucleotide identity, digital DNA–DNA hybridization values, amino acid identity values, and percentage of conserved proteins values between strain HH7-29T and its related species were 71.1–83.8%, 19.5–27.4%, 66.5–88.4% and 59.8–76.6%, respectively. Based on the analyses of phenotypic, chemotaxonomic, phylogenetic and genomic features, strain HH7-29T represents a novel species of the genus Jeotgalibacillus, for which the name Jeotgalibacillus haloalkaliphilus sp. nov. is proposed. The type strain is HH7-29T (= KCTC 43417T = MCCC 1K07541T).
Comparative Assessment of the Impact of COVID-19 Lockdown on Air Quality: A Multinational Study of SARS-CoV-2 Hotspots
Authors: Boudia Ahmed Ould 
Published: January 2024

Abstract
In response to the global COVID-19 pandemic, nations implemented lockdown measures to contain the virus. This study assessed air pollution levels during and after lockdowns, focusing on heavily affected locations: Oulu and Helsinki in Finland, Paris in France, Madrid in Spain, Milan in Italy, and Wuhan in China. Air Quality Index (AQI) data from these areas over two years were analyzed to understand lockdown effects. COVID-19 lockdowns in six cities were compared with SARS-CoV-2 measures using statistical methods. Pollutant Outdoor variations were evaluated via tests, showing significant differences. Parametric analyses and regression studied lockdown impacts on pollution and relationships. The study comprehensively analyzed COVID-19 lockdowns' effects on air quality, identifying differences, quantifying changes, and exploring patterns in Oulu and Helsinki. Pollutant correlations varied among cities during lockdowns. Regression analysis highlighted independent variables' impact on pollutants. Decreases in NO2 were seen in Helsinki, Madrid, Oulu, Paris, and Milan, reflecting reduced traffic and industry. PM2.5 and PM10 reductions occurred in these cities and also Wuhan, except for O3 levels which increased. Reduced human activities improved air quality, especially for NO2 and PM10. Regional variations necessitate tailored interventions. We observed that during the COVID-19 lockdowns, there was a substantial decrease in both PM2.5 and NO2 levels, indicating a direct correlation between reduced human activities, such as transportation and industrial operations, and improved air quality. This underscores the potential impact of environmental measures and suggests the need for sustainable practices to mitigate urban pollution.
An intriguing case of polyvinyl chloride solvent cement poisoning: A case report
Authors: Marambahewa S N , Chandrasiri D A C T , Weerasekara W A I C , Munasinghe B M 
Published: January 2024

Abstract
Background:
S-Lon® (S) is a locally produced polyvinyl chloride (PVC)-based solvent cement. It is a clear, slightly viscous liquid. Other constituents include 1-cyclohexanone, 3-butanone, and 1-acetone. It is used ubiquitously for building construction in Sri Lanka. Although theclinical effects of the compound have not yet been ascertained, the constituents have been implicated in neurotoxicity, eye and skin irritation, and delayed liver and renal injury.
Case Description:
A 42-year-old South Asian male presented following self-ingestion of S. His vital parameters were stable,and he was initially managed symptomatically. A few hours later,he developed central nervous system (CNS) depression and stridor requiring elective intubation. An examinationof the upper airway revealed inflammation and edema. He was sedated and ventilated, and IV dexamethasone was administered. Attempts at removing the nasogastric tube (NGT) after extubation on day 3failed. The patient had to be reintubated and sedated due to extreme agitation not responding to routine doses of sedatives. The NGT wasamalgamated after reacting with S,forming a solid clump, which was later found after removal. The posterior pharynx and nasopharynx were packed and subsequentlyremoved before extubation. The patient made a full recovery and was transferred to the ward on day 05.
Conclusion:
The ingestion of a sufficient quantity of S could result in gut absorption with CNS depression, coma, and even death. No antidotes areavailable for toxicity, and management is largely supportive. As witnessed in our patient, chemical laryngitis and upper airway inflammation may lead to upper airway obstruction. Chemical reactions involvingmedical equipment may lead to unforeseen outcomes.
Integrating Deep Learning with Symbolic Reasoning in TinyLlama for Accurate Information Retrieval
Authors: Xiong Xingyu , Zheng Mingliang 
Published: January 2024

Abstract
This study presents a novel approach to enhancing information retrieval capabilities in Large Language Models (LLMs) by integrating deep learning with symbolic reasoning, specifically in the TinyLlama model. The research addresses the inherent limitations of LLMs in processing contextually complex queries and ensuring factual accuracy. By amalgamating the intuitive pattern recognition of deep learning with structured, rule-based logic of symbolic reasoning, the improved TinyLlama model demonstrates a significant elevation in performance. The study employs the BIG-bench benchmark tasks to empirically validate the model's enhancements in accuracy, logical consistency, and rule adherence. Additionally, the research emphasizes the importance of model interpretability and trust, positioning the hybrid model as a more transparent and reliable AI tool. The findings not only showcase the efficacy of the hybrid architecture but also pave the way for future AI research, focusing on sophisticated cognitive functions and autonomous adaptation in dynamic environments. This work sets a precedent in the evolution of LLMs, moving towards AI systems capable of nuanced reasoning akin to human cognitive processes.
Adipsin as a marker of preeclampsia in a Ghanaian community
Authors: Bawah Ahmed Tijani , Hussein Hawawu , Kuganab-Lem Robert , Yakubu Tamimu , Bawa Khadija Kande 
Published: January 2024

Abstract
Background: This study was aimed at determining the levels of serum adipsin and lipids during the first trimester in pregnant women and to evaluate the relationship between these biochemical markers and preeclampsia (PE). Available data suggest that changes in the levels of adipsin is linked to the development of PE hence this study examined the potential of using this biomarker and adiposity in the prediction of the disease.
Methods: This was a prospective case-control study which examined first trimester serum adipsin lipids and anthropometric parameters in pregnant women who later developed PE and those who did not. Urine protein and blood pressure were determined after 20th week of pregnancy and the values used to diagnose PE using the guidelines of the American Heart Association.
Results: There were significant differences (p < 0.05) in the body mass index (BMI), coronary risk, lipids and adipsin between the PE group and the normotensive group. Analyses of risk factors for PE revealed that family history of hypertension, overweight, and history of cesarean operation are strong predictors of the disease.
Conclusion: Our results suggest that adipsin may be involved in pregnancy related metabolic changes and these changes could be linked to the pathophysiology of PE.