bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Blockchain Lightweight Authentication Technology for Industrial Internet of Things
Authors: Zhao Mingrui , Shi Chunjing , Yuan Yixiao 
Published: October 2023

Abstract
Industrial Internet of Things (IIoT), as an important subset of the Internet of Things, is increasingly being applied in industrial production. Cross-domain trustworthy authentication between IIoT devices in different management domains is crucial for safeguarding sensitive data security of on-site equipment. To address the issues of resource consumption and low efficiency in traditional blockchain consensus mechanisms, this paper proposes a Reputation-based Lightweight Consensus Mechanism (LRBCM) tailored for distributed network structures in industrial IoT. LRBCM algorithm is designed based on node reputation values, enabling fast and accurate completion of the ledger consensus process while reducing communication overhead and computational complexity, thus achieving the goal of lightweight consensus. Furthermore, building upon this lightweight consensus mechanism, we introduce the Distributed Lightweight Authentication Mechanism (ELAM) based on Elliptic Curve Cryptography (ECC) to address device trustworthiness authentication concerns. Leveraging this authentication mechanism, we devise intelligent lightweight transaction identity authentication smart contracts. Finally, comprehensive research and analysis of the proposed mechanisms' performance are conducted through experimental results.
Deciphering Mutational Signature Dynamics in Hormone-Sensitive Breast Cancer During Treatment Adaptation.
Authors: Magnani Luca , Ivanoiu Diana , Rosano Dalia , slaven neil , Sofyali Emre , barozzi Iros , James Chela , Cresswell George , Corleone Giacomo , dhiman Heena , Singh Anup , Ali Simak , Sottoriva Andrea , Ramazzotti Daniele 
Published: October 2023

Abstract
The DNA accumulates somatic changes before and after tumor initiation. These changes have been classified into mutational signatures (1) but only recently have studies begun to experimentally validate and functionally dissect these signatures. The role of the underlying functional annotation of DNA and long-term exposure to endocrine therapies in shaping signatures in breast cancer remains to be elucidated. In this study we use novel patients- and in vitro-derived longitudinal datasets to dissect the dynamic nature of mutational processes throughout the evolution of hormone-sensitive breast cancer. We demonstrate that chromatin and epigenetic cues can actively shape the local mutational processes, with significant impact on regulatory elements and cancer drivers. We also conclude that the etiology of APOBEC and clock-like SBS5 signatures needs further experimental corroboration. In conclusion, our research illuminates the dynamic nature of mutational processes and their direct influence on tumor evolution
Social Support and Self-management Behavior and Quality of Life among Rural People with Type 2 Diabetes in Eastern China: The Mediating Role of Self-efficacy
Authors: Wang Lizhu , Qiu Yang , Li Sihan , Li Li , Wang Zhonghua 
Published: October 2023

Abstract
BACKGROUND
Type 2 diabetes (T2D) patients in rural China often demonstrate inadequate diabetes self-management (DSM) and a lower quality of life (QoL). Social support and self-efficacy can directly influence DSM or QoL. However, the mediating effect of self-efficacy on social support and DSM and social support and QoL among Chinese rural T2D patients remains unclear.
METHODS
Based on a survey among rural T2D Patients in eastern China, we employed structural equation modeling (SEM) to explore the direct and indirect influences of social support on DSM and QoL and to investigate the mediating role of self-efficacy.
RESULTS
It was found that the DSM score was less than half of the maximum theoretical score. The dimension of medication adherence behaviors exhibited the highest score (5.92) and blood glucose monitoring behaviors showed the lowest score (1.23). The QoL score accounted for 36% of the maximum theoretical score. The dimension of social relationships demonstrated the lowest score (1.33) and physiological function garnered the highest score (2.03). Social support directly and positively affected the DSM and QoL of Chinese rural T2D patients and exhibited an indirect positive influence mediated by self-efficacy. The mediating effect of self-efficacy accounted for 30.2% and 28.6%, respectively, of the total effect of social support on DSM and QoL.
CONCLUSIONS
The study confirmed the direct and indirect influences of social support on DSM and QoL and elucidated the mediating effect of self-efficacy. Interventions aimed at both fostering social support and self-efficacy should be developed to create a positive cycle of mutual reinforcement to improve DSM and QoL among rural T2D patients.
What is the meaning of LGE in right ventricle insertion points in pulmonary arterial hypertension? – a PET/MRI study
Authors: Kazimierczyk Remigiusz , Szumowski Piotr , Nekolla Stephan G. , Malek Lukasz A. , Blaszczak Piotr , Hladunski Marcin , Sobkowicz Bozena , Mysliwiec Janusz , Kaminski Karol A. 
Published: October 2023

Abstract
Presence of late gadolinium enhancement (LGE) in right ventricle insertion points (RVIPs) has been found in majority of pulmonary arterial hypertension (PAH) patients and is often recognized as evidence of myocardial fibrosis. The aim of the study was to evaluate the relationship between LGE mass and myocardium metabolic activity in RVIPs using PET/MRI imaging.
Twenty-eight clinically stable PAH patients had PET/MRI scans during baseline and 2-year follow up (FU) visits. Fluorodeoxyglucose cardiac uptake was assessed in the area of LGE (SUVRVIPS). Clinical end-point (CEP) was defined as death or clinical deterioration.
Mean LGE mass in RVIPs was 6.67±4.41 g and mean SUVRVIPS was 7.28±5.36. FU values were 8.01±7.75 g (p=0.27) and 5.81±3.16 (p=0.16), respectively. Decrease of SUVRVIPS was observed in 70% (n=14) cases. No statistically significant correlation was found between LGE mass and SUVRVIPS (in both baseline and FU scans).
PAH therapy have an impact on both LGE mass and FDG uptake in cardiac local tissue changes. Lack of reverse correlation between those two parameters suggests that LGE is not less metabolically active than the surrounding myocardium and hence it is unlikely to be simple fibrotic change, however this finding requires further studies.
Trial Registration: Clinical Trials.gov; NCT03688698, 09/26/2018, retrospectively registered; Protocol ID: 2017/25/N/NZ5/02689l https://clinicaltrials.gov/ct2/show/NCT03688698
Automatically listing senior members of departments as co-authors is highly prevalent in the health sciences: meta-analysis of survey research
Authors: Reynders Reint A. Meursinge , Cavagnetto Davide , Riet Gerben ter , Girolamo Nicola Di , Malički Mario 
Published: October 2023

Abstract
A systematic review with meta-analysis was conducted to assess the prevalence of automatically listing (a) senior member(s) of a department as co-author(s) on all submitted articles in health sciences and the prevalence of various justifications for doing so. Survey research was searched in PubMed, Lens.org, and Dimensions.ai. until January 5 2023. We assessed the methodological quality of studies and conducted quantitative syntheses. We identified 15 eligible surveys, that provided 67 results, of which all were rated as having low quality. A pooled estimate of 20% [95% CI 16–25](10 surveys, 3,619 respondents) of researchers in various health sciences reported that a senior member of their department was automatically listed as an author on all submitted articles. Furthermore, 28%[95% CI 22–34] of researchers (10 surveys, 2,180 respondents) felt that this practice was ‘never’, 24%[95% CI 22–27] ‘rarely’, 25%[95% CI 23–28] ‘sometimes’, 13%[95% CI 9–17] ‘most of the time’, and 8%[95% CI 6–9] ‘always justified’. The practice of automatically assigning senior members of departments as co-authors on all submitted manuscripts is common in the health sciences and yet those who conduct it do not find it justified in most cases. Increasing awareness of authorship guidelines, or credit taxonomies may help alleviate these issues. Registration of the protocol. The protocol was registered in Open Science Framework. Link: https://osf.io/4eywp/
Inhibition of KDM6A Decreased the Reactive Astrocytes Proliferation Induced by Hypoxic and Ischemic
Authors: Feng Chenxi , Xu Lixiao , Liu Qin , Li Mei , Feng Xing 
Published: October 2023

Abstract
HIBD (hypoxic-ischemic brain damage) is a common clinical problem, which is often accompanied by serious sequelae. This disease affects the life quality of patients and increases the economic burden on sufferers’ families. Many precipitating factors of HIBD have been studied, but its specific pathogenesis has not been thoroughly explored. Reactive astrogliosis is ubiquitous in HIBD and performs a variety of pathological and physiological functions. KDM6A (lysine-specific demethylase 6A) is a member of the α-ketoglutarate dioxygenase superfamily, and prolyl hydroxylase (PHD) of HIF (hypoxia-inducible factor) also belongs to this family. In this study, we focused on the role of KDM6A in the proliferation of reactive astrocytes. Astrocytes proliferated with KDM6A increased were found in the ischemic lateral brain of HIBD rats. After OGD/R (oxygen-glucose deprivation/ reoxygenation), KDM6A was significantly up-regulated, which accompanies astrocytes proliferation mediated by the imbalance of cell cycle regulation. While knockdown of KDM6A restored astrocytes proliferation and reversed pathological damage in the brain of HIBD-model rats. Transcriptome and qRT-PCR datum showed that KDM6A might contribute to post-transcriptional levels of the cell cycle pathway through the proteasome pathway (KO03050). Inhibitors of the proteasome pathway, MG-132, and Bortezomib (PS-341), could significantly up-regulate the expression of cyclin proteins after KDM6A knock-down. To sum up, this study suggested that KDM6A accelerates ischemia-hypoxia-induced astrocyte proliferation by regulating proteolysis of the cell cycle pathway. This study provides a new idea on dealing with reactive astrogliosis and novel possible evidence for the prevention and treatment of HIBD.
OncoReport: a system for integrative NGS analysis in precision medicine
Authors: Pulvirenti Alfredo , Privitera Grete Francesca , Alaimo Salvatore , Micale Giovanni , Giaimi Luca , Mare Marzia , Martorana Emanuele , Villa Riccardo , Ferro Alfredo , Forte Stefano 
Published: October 2023

Abstract
Objective: Next Generation Sequencing (NGS) has evolved into a mature technology that is becoming increasingly prevalent in the clinical setting. However, one of the significant challenges physicians and oncologists face is effectively handling the vast amount of genome-scale data generated by NGS experiments and translating it into actionable insights to support complex clinical decision-making. Several commercial systems have been developed to achieve this crucial goal, aiming to synthesize relevant information from custom and targeted NGS experiments. These systems generate comprehensive reports detailing prognosis and treatment possibilities. Unfortunately, a notable limitation of many existing tools is their closed-source nature, which restricts access to the underlying algorithms and hinders transparency. Furthermore, some of these systems do not leverage publicly available data, limiting their ability to tap into the vast pool of valuable genomic information collected by various databases. Another essential improvement aspect is the lack of flexibility in using different NGS panels. Each clinical scenario may demand a specific set of genetic markers, and a rigid tool that cannot adapt to different panel configurations may not effectively address the diverse needs of patients and clinicians.
Results: To overcome these challenges, in this paper, we present OncoReport, an innovative open-source tool designed to generate comprehensive reports derived from Next-Generation Sequencing (NGS) analysis, seamlessly integrating data from various freely-accessible databases. By providing a robust environment equipped with a wide range of software and tools essential for conducting a thorough NGS analysis, OncoReport emerges as a powerful solution for clinicians seeking to enhance data interpretation and decision-making processes. Through rigorous testing and validation, we demonstrate the effectiveness of OncoReport's pipeline in generating rich, informative reports that are easy to comprehend and utilize. Indeed, OncoReport significantly reduces the manual effort required for data synthesis, thereby expediting the analysis and interpretation of NGS results. Our findings underscore the invaluable role of OncoReport in fostering a more efficient and reliable framework for clinicians to access, comprehend, and apply genomic insights to patient care.
Availability: OncoReport is freely available for download at the following URL https://oncoreport.atlas.dmi.unict.it. Source code and issue reporting are available at https://github.com/knowmics-lab/oncoreport.
Using joint species distribution modelling to predict distributions of seafloor taxa and identify vulnerable marine ecosystems in New Zealand waters
Authors: Stephenson Fabrice , Bowden David A , Rowden Ashley A , Anderson Owen F , Clark Malcolm R , Bennion Matthew , Finucci Brittany , Pinkerton Matt H , Goode Savannah , Chin Caroline , Davey Niki , Hart Alan , Stewart Rob 
Published: October 2023

Abstract

Effective ecosystem-based management of bottom-contacting fisheries requires understanding of how disturbances from fishing affect seafloor fauna over a wide range of spatial and temporal scales. Using an extensive dataset of faunal abundances collected using a towed camera system, with spatially explicit predictor variables including bottom-trawl fishing effort, we developed spatial predictions of abundance for 67 taxa using Hierarchical Modelling of Species Communities. The model fit metrics varied by taxon: the mean ten-fold cross-validated AUC score was 0.70 ± 0.1 (standard deviation) for presence-absence and an R2 of 0.11 ± 0.1 (standard deviation) for abundance models. Spatial predictions of probability of occurrence and abundance (individuals per km2) varied by taxon, but there were key areas of overlap, with highest predicted taxon richness in areas of the continental shelf break and slope. The resulting joint predictions represent significant advances on previous predictions because they are of abundance, allow the exploration of co-occurrence patterns and provide credible estimates of taxon richness (including for rare species that are often not included in community-level species distribution assessments). Habitat-forming taxa considered to be Vulnerable Marine Ecosystem (VME) indicators (those taxa that are physically or functionally fragile to anthropogenic impacts) were identified in the dataset. Spatial estimates of likely VME distribution (as well as associated estimates of uncertainty) were predicted for the study area. Identifying areas most likely to represent a VME (rather than simply VME indicator taxa) provides much needed quantitative estimates of vulnerable habitats, and facilitates an evidence-based approach to managing potential impacts of bottom-trawling.
Should social withdrawal be held responsible for social media addiction? The chain mediating effect of alexithymia and negative body image
Authors: Li Shuang , Liu Li-li , Sun Chongyong 
Published: October 2023

Abstract

To explore the influence of social withdrawal on college students' addiction to social media and its underlying mechanisms.Using the Middle School Student Social Withdrawal Questionnaire, Social Media Addiction Questionnaire, Toronto Alexithymia Scale, and Negative Body Image Scale, 2582 college students (33.46% male, average age = 19.46 years, SD = 2.23) were surveyed.Social withdrawal, alexithymia, negative body image, and social media addiction were significantly correlated with each other.Social withdrawal positively predicted social media addiction, and both alexithymia and negative body image played a chain-mediating role between social withdrawal and social media addiction.Conclusion: Individual social withdrawal not only directly affects college students' addiction to social media but also indirectly affects it through the chain mediating effects of alexithymia and negative body image.
Development of Web Based Medical Equipment Inventory Maintenance System
Authors: Nwaneri Solomon , Olaoye Gabriel 
Published: October 2023

Abstract
Background and Purpose
The functionality of medical equipment is critical to quality healthcare delivery. With regular preventive maintenance, the usability and lifetime of medical equipment can be extended. Adherence to preventive maintenance schedule is challenging without a robust inventory management system. This paper presents a web based medical equipment inventory maintenance system (MEIMS) software.
Methods
The MEIMS software was developed using the waterfall model of software engineering methodology based on a 3-tier architecture comprising the graphical user interface, processor, and database server. The system consists of a user-friendly interface which ensured an effective and efficient medical equipment management with prompt maintenance schedule notification for the biomedical engineers. Data collected from a public hospital in Lagos, Nigeria were tested on the MEIMS software.
Results
The results revealed that the MEIMS software is user friendly and easy to use. The dashboard of the interface design indicates a summary of the total number of equipment, the total registered users, total medical equipment under repair, total equipment purchased, monitoring log, usage analysis, and inventory. the usage analysis interface design for new equipment and its daily usage input. It displays the total usage checks, percentage usage and indicates if the equipment was used that day.
Conclusions
This developed software was shown to be a helpful system for medical equipment workflow management to control asset, inventory, scheduled preventive maintenance, and corrective maintenance module.
Innovative Approach to Teaching EFL through a Game-based Speaking Mobile Application
Authors: Espiritu Jarah Gertrudes Mallillin , Buaraphan Khajornsak 
Published: October 2023

Abstract

Amidst the growing body of research on mobile game-based apps, there remains a dearth of studies investigating teacher-developed game-based mobile apps. Employing a research and development framework, this study delved into the development and implementation process of a mobile game-based app created by teachers, evaluated its effectiveness, and identified key features for enhancing speaking skills. The research encompassed three distinct phases: initial need analysis (involving 287 participants, including 123 high school students and 164 college students); subsequent design and implementation (incorporating 21st century skills, task-based language teaching, mobile-assisted language learning, automatic speech recognition, and gamification); and final implementation (involving 16 participants, comprising 8 high school students and 8 college students). Data collection was facilitated through surveys (for the need analysis and the Unified Theory of Acceptance and Use of Technology (UTAUT)), pre- and post-speaking tests, as well as interviews. Data analysis encompassed descriptive statistics, the Wilcoxon signed-rank test, the Mann-Whitney U-test, and thematic analysis. The findings unveiled high school and college students both strongly believed in the effectiveness of a teacher-developed mobile speaking app for improving English proficiency. The SPEAK APP significantly improved speaking skills for both groups of students, with an emphasis on fluency and pronunciation. Interviews revealed positive experiences, suggestions for enhancement, and boosted self-confidence. Essential features for improved speaking skills in mobile apps included encouraging thinking, sharing experiences, English communication, and interactive play with friends. While user friendliness was appreciated, concerns about response time and speech recognition accuracy emerged, and confidence improvement was noted. The study underscores the importance of creating student-perceived useful and engaging apps aligned with the UTAUT model, combining quantitative skill improvement assessments with qualitative user experience insights to guide developers to prioritize essential features and address usability challenges.
A Framework on Combining the Symptoms With Dissimilar Features to Predict Multiple Diseases Using Machine Learning Algorithms
Authors: Gantayat Sasanko Sekhar , Suru Chaitanya 
Published: October 2023

Abstract
Health plays a vital role in the well-being of individuals. However, due to busy schedules, people often neglect regular health checkups. Engaging in weekly or monthly health checkups is crucial for leading a longer and healthier life. Contemporary food habits, lifestyle choices, pollution, and other factors contribute to various health issues. Unfortunately, many individuals remain unaware of numerous diseases, unknowingly spreading them due to their negligence. A striking example is the COVID-19 pandemic, where people struggle to differentiate between COVID-19 symptoms and those of other illnesses. In such circumstances, technology emerges as a key player. Machine Learning, a field focused on computer algorithms that learn from past experiences, has gained widespread usage and proven to be highly effective in healthcare. This project aims to develop a model that leverages various Machine Learning Algorithms by training a combination of classifiers to create super learners and meta learners. A user-friendly Graphical User Interface (GUI) will be designed to collect symptoms from the user. By utilizing Machine Learning algorithms such as Support Vector Machines (SVM), decision trees, logistic regression, Naive Bayes, and boosting algorithms like AdaBoost and XGBoost, the model will predict the disease based on the symptoms provided by the user. This prediction will assist the user in identifying the potential illness they may be experiencing. As the saying goes, "Prevention is better than cure," and this project emphasizes the significance of early disease detection. It provides a detailed explanation of how the model identifies diseases based on different symptoms using various algorithms. Armed with this information, individuals can promptly contact the appropriate healthcare professionals and take proactive steps to maintain their well-being and overall health.
Performance Analysis of Mimo-dwdm Fso Systems Using Modulation Techniques Over Atmospheric Turbulence
Authors: ELSAYED EBRAHIM E. 
Published: October 2023

Abstract
This paper analyses and enhances a Multiple-Input Multiple-Output (MIMO) lasers of Dense Wavelength Division Multiplexing Free Space Optical Communications (DWDM-FSO) communication using the On-Off Keying (OOK) and Q-ary Pulse Position Modulation (QPPM) for atmospheric turbulence regime. The result obtained for MIMO-DWDM/FSO Q-ary QPPM/OOK increase and improves the performance with maximum 4dB.
Assessing the Communication Skills of Postgraduate Students in India
Authors: SWARGIARY KHRITISH 
Published: October 2023

Abstract
Effective communication skills are crucial for academic and professional success. This research study aimed to assess the communication skills of postgraduate students in India and identify potential areas for improvement. A sample of postgraduate students from various disciplines was selected, and their communication skills were evaluated using standardized assessment tools and experimental tasks. The findings revealed both strengths and weaknesses in the communication skills of the participants, highlighting the need for targeted interventions to enhance communication abilities among postgraduate students in India.