bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical hydrogen storage behavior of Hg-Fe-Ni on graphite in alkaline media
Authors: Hassanlou Fatemeh , Sefidi Pariya Yardani , Jafarian Majid 
Published: November 2024

Abstract

The electrochemical properties of hydrogen evolution reaction and hydrogen storage behavior of Hg-Fe-Ni on graphite (C/Hg-Fe-Ni) were examined in 0.1M NaOH using Cyclic voltemetry(CV), chronopotentiometery(CP), Tafel polarization and electrochemical impedance spectroscopy(EIS).
The examination of the physical features and chemical composition of the alloy was conducted using a field emission scanning electron microscope and Energy-dispersive X-ray spectroscopy.
The electrochemical discharge capacity of C/Hg-Fe-Ni, was obtained 20302 mAh/g, which was about 6 times higher than the capacity of C/Hg-Ni (3577 mAh/g). Discharge capacity of C/Hg-Ni-Fe in repeated cycles was studied, the electrode's performance peaks at the 13th cycle, reaching a value of 1(100% yield), indicating the excellent performance of this electrode. After 140 cycles, the hydrogen evolution reaction activity has negligible change.
In the following, the impact of applied current, the charging duration and the time lag between charging and discharging on the discharge capacity of the electrode were examined.
The C/Hg-Fe-Ni also exhibits significantly superior catalytic efficacy for hydrogen evolution reaction evidenced by the obtained Tafel slope value, the exchange current density, and over potential that was found -5.7 mVdec−1, 1.45 mAcm−2 and 140 mV (vs. RHE), respectively. The diffusion coefficient of hydrogen into the ternary C/Hg-Fe-Ni was also obtained 1.7×10−14 cm2 s−1.
The C/Hg-Fe-Ni electrode can be recognized as an efficient easy prepared electrode for both electrochemically hydrogen storage and hydrogen evolution reaction.
Assessing Seasonal Fluctuations in Forecast Precision through Comparative Regression Modelling in Meteorology
Authors: Masalvad Shravankumar , Paliwal Vartika 
Published: November 2024

Abstract

This study provides an in-depth review of various regression models used to forecast meteorological parameters across seasons. Regression models that use traditional regression can be evaluated against advanced machine learning techniques like Random Forest and Gradient Boosting to evaluate their predictive power using metrics such as root mean square Error (RMSE), Mean Absolute Error (MAE) as well as Mean Absolute Percentage Error (MAPE) to calculate R2 and ratio between RSR/RMSE to observer Standard Deviation ratio, Kling-Gupta Efficiency (KGE). The research highlights notable performance differences over time, highlighting both the variability of weather data as well as the challenges associated with accurate forecasting. The Ridge Regression model stands out from other models with one of the most accurate error metrics (RMSE: 294.87, MAE: 232.58, MAPE 7.74 RSR = 0.81); as well as consistently producing R2 values of 0.34 and KGE values of 0.53 within its model parameters. The methods adopted in this research would help the stakeholders, civic bodies and others for attaining sustainable water resources approach to tackle the repercussions of climate change.
A Histopathological Snapshot of Bladder Cancer: a Johannesburg Experience of 1480 Histopathology Reports
Authors: Jonosky Jaclyn , Adam Ahmed , Wadee Reubina 
Published: November 2024

Abstract

Purpose
To evaluate the histopathological characteristics of bladder cancer in patients presenting to Johannesburg hospitals over a 13-year period (2010–2023).
Methods
Following ethical clearance, a retrospective study of 1480 histopathological reports was done. Normality of distribution was tested using the Shapiro Wilk test. Histopathological results were compared by patient gender using the Fisher's exact, and by age, using either one-way ANOVA or the Kruskal-Wallis test.
Results
Urothelial carcinoma accounted for 88.8% of bladder cancer cases, squamous cell carcinoma (7.7%), adenocarcinoma (1.5%), and other malignancies (2%). High-grade urothelial carcinoma was the predominant subtype, accounting for 75% of cases. Non-muscle invasive disease accounted for 72% of these cases, while 28% were muscle invasive. Data from radical cystectomies showed a high proportion of aggressive and advanced disease.
Conclusions
The study highlights the predominance of high-grade non-muscle invasive bladder cancer in Johannesburg, consistent with global trends. However, the presence of advanced disease at diagnosis, particularly in cases needing radical cystectomy for urothelial carcinoma, and squamous cell carcinoma, reflects the ongoing challenges in early detection and treatment in this population. The findings suggest a shift in bladder cancer trends in Africa away from assumed squamous cell carcinoma towards urothelial carcinoma, possibly influenced by increasing urbanisation, smoking and changes in risk factor profiles.
Long-term changes of bird diversity revealed historical manor parks as biodiversity hotspots in cities
Authors: Machar Ivo , Schlossarek Martin , Pechanec Vilém , Šimek Pavel 
Published: November 2024

Abstract

Environmental sustainability and resilience of cities is based on the biological diversity of green urban areas. Biodiversity of green infrastructure in dynamic urbanized environments is changing very fast. Understanding these ecological processes (and using them to environmental management of urban ecosystems) supports the application of birds as bioindicators. Although there is a consensus that long-term bird studies are extraordinarily valuable for better understanding of real temporal trends in avian urban diversity changes, these are still very rare. The main aim of this study is the assessment of long-term changes (during 30 years) in avian communities in historic manor parks in Central-European urbanized landscapes. Statistical testing of hypotheses as well as using calculation of faunistic indexes based on guild approach revealed high stability in bird diversity of large historic manor parks for a period 1994–2023. Results revealed the role of historic manor parks not only as historical sites but also as important urban biodiversity hotspots, which need specific management practice to maintain biodiversity in environmentally sustainable cities. Results also supported our better understanding of the joining of natural and historical heritage in cities worldwide in the frame of new scientific concept of Biocultural Diversity.
A Study on the Impact of Platform Economy on Labor Work Poverty from the Perspective of Common Prosperity ——Analysis of Mixed Cross Section Data Based on CGSS
Authors: Yu Shan , Sun Han 
Published: November 2024

Abstract

Leveraging digital technology, the platform economy, characterized by data-driven dynamics, platform support, and network coordination, is continuously transforming the labor market structure. It has demonstrated a notable impact on poverty reduction. Utilizing mixed cross-sectional data from the China General Social Survey (CGSS), this study constructs a comprehensive index system to measure the development of the platform economy through the entropy method. This approach aims to facilitate the pursuit of common prosperity. Furthermore, it employs a Logit model to empirically investigate the influence of platform economy development on working poverty, particularly in the context of promoting common prosperity. The results reveal that the expansion of the platform economy significantly aids in diminishing working poverty. The development of the platform economy mitigates working poverty by enhancing regional wage levels and the frequency of Internet use among workers. Regional disparities are observed, with Eastern China showing a more pronounced alleviation effect compared to Central and Western China. The decline in working poverty is particularly pronounced among the young, the married, full-time employees, and those with higher education levels.
Analyzing Spinal Dysraphism's on Fetal MRI
Authors: Yadu Neha , Clarke Rebekah , McConahey Jessica , Twickler Diane 
Published: November 2024

Abstract

Background: Spinal dysraphic states are one of the major indications for fetal MRI. Although widely established nomenclature has been used to describe these lesions in pediatric literature, application to fetal studies is inconsistent.
Objective: To describe spinal dysraphic states on fetal MRI using defined measurements and descriptors. An additional objective is to perform gestational age analysis of open spinal dysraphism's to determine any statistical difference in the ability to discern anatomic structures at gestational age ≤24 weeks and ≥24 weeks respectively.
Materials and methods: This is a retrospective review of fetal MRI in 206 pregnancies complicated by fetal spinal dysraphism. All studies underwent evaluation for occurrence of certain variables of the spine and central nervous system described in pediatric literature to determine diagnostic groups. Gestational age analysis of cases with open spinal dysraphism was performed.
Results: Open spinal dysraphism occurred in 84.5% of the studies followed by closed spinal dysraphism (7.3%), caudal regression (3.9%), scoliosis (2.9%), isolated tethered cord (0.5%), and limb-body-wall defect (0.5%). Fetal MRI performed at gestational age ≥24 weeks was statistically superior for anatomical assessment of open spinal dysraphism (P <0.001).
Conclusion: MR findings of fetal spinal lesions can be qualitatively and quantitatively defined and assigned to diagnostic groups that convey important clinical information. Gestational age affects the evaluation of findings.
Dual-path denoising and feature-domain optimization network for image compressed sensing
Authors: Ouyang ning , Huang jiongjia , Lin leping 
Published: November 2024

Abstract

Image Compressed Sensing (ICS) reconstruction based on deep unfolding network has achieved remarkable success. However, most of the ICS deep unfolding networks do not take full advantage of the critical information contained in the feature channels in image processing as well as the correlation between the local features of the image and the feature channels. To solve these problems, we designe an ICS deep unfolding network called dual-path denoising and feature-domain optimization network (DDFONet) using the idea of progressively optimizing image features. For feature extraction of images, we combine convolution and depth-separable convolution to capture local features of an image and deal with dependencies between image feature channels. We design a model based on the channel attention mechanism to focus on key features in image processing for optimal denoising of feature maps. The experimental results show that our proposed network gets good performance in image performance metrics such as SSIM and PSNR, as well as visual effects of several public benchmark datasets.
Full genome sequence of a novel potyvirus infecting Sauropus androgynus
Authors: Zhu Li-Juan , Su Shulian , Li Jingke , Chi Yubin , Zhu Yankun , Chen Xing , Su Lan-Yi , Zhang Juncheng , Xu Zhongtian 
Published: November 2024

Abstract

In the present study, the full genome sequence of a novel potyvirus, provisionally named “Sauropus androgynus potyvirus 1” (SAPV1), was determined using a combination of high throughput sequencing (HTS) contig assembly, reverse transcription polymerase chain reaction (RT-PCR), and rapid amplification of cDNA ends (RACE) PCR. The full genome sequencing of SAPV1, excluding the 3’ poly(A) tail, was 10,365 nucleotides long and encoded a large polyprotein comprising 3,315 amino acids. Maximum likelihood phylogenetic analysis based on the multiple sequence alignment of the polyprotein sequence revealed that SAPV1 clustered with the genus Potyvirus as a monophyletic clade, with its closest evolutionary relative being the Plum pox virus (PPV). BLAST searches revealed that the polyprotein sequence of SAPV1 shares the highest amino acid sequence identity of 45.6% with known viruses, with the highest being PPV. According to the species demarcation criteria of the family Potyviridae and the phylogenetic analysis, we propose that SAPV1 represents a novel member of the genus Potyvirus, infecting Sauropus androgynus, a plant widely used in medicine and the food industry.
Exploring pharmacists’ experiences with the Electronic National Residential Medication Chart: A qualitative descriptive study
Authors: Tan Jonathan , Tan Jasmine , de Souza Leanna , Wang Qianying , Wong Alexander , Mcmaugh Jarrod , Lee Kenneth , Page Amy 
Published: November 2024

Abstract

Background: Electronic medication management systems are increasingly adopted worldwide to enhance medication safety and efficiency in clinical settings. In Australia, government grants to support the transition to the electronic National Residential Medication Chart (eNRMC) commenced in 2022 but there is still limited research on its use in aged care. The eNRMC has the potential to enhance medication safety, reduce administrative burden, and facilitate better communication among care providers, however some studies have identified barriers such as low uptake and system design. Notably, these studies only include a small number of community pharmacists. As pharmacists play a critical role in medication management, particularly for older adults, it is essential to address their underrepresentation in current research to better optimise their experience with the eNRMC.
Aim: This study aimed to explore the experiences of pharmacists who have used the (eNRMC) while providing care to residential aged care facilities.
Methods: A qualitative descriptive study design was employed, with thematic analysis conducted using The Framework Method. Pharmacists with experience using the eNRMC were invited to participate in semi-structured individual interviews. These interviews were audio-visually recorded, transcribed using clean verbatim and analysed with NVivo software.
Results: Twelve participants consented and completed semi-structured interviews. Three main themes were identified: 1) Improvements in Medication Management, 2) Limitations of the eNRMC Software, and 3) the Facility’s Transition to eNRMC Software.
Conclusion: Pharmacists from various roles described the eNRMC as beneficial for enhancing medication management, but software limitations and lack of support remain barriers that impede adoption.
Understanding the Health Status of Chinese Migrant Elderly: The Interactive Effects of Social Support and Social Integration
Authors: Wang Zhaoyang , Lv Bo , Feng Xingmiao , Meng Kai 
Published: November 2024

Abstract

Background This study aims to analyze the impact of social support on the health status of the migrant elderly population in the context of population aging, explore the mediating role of social integration, and provide a reference for improving the health status of the migrant elderly population. Methods A total of 6,478 samples were screened from the Migrant Population Dynamic Monitoring and Survey Database. Using a multiple linear regression model, this study analyzed the relationships among the health status, social support, and social integration status of the migrant elderly population in China. Bootstrap was conducted using the stepwise regression method and path analysis, and the mediation effect was tested using the Bootstrap method. Results The average social integration index score for individual migrant elderly population is 59.06. Social support has a significant impact on the health status and social integration status of the migrant elderly population (P < 0.05). Similarly, social integration status also significantly affects their health status (P < 0.05). The degree of community participation and communication within social integration mediates the effect of social support on health status (P < 0.05). Conclusions The health status of mobile elderly individuals in China is poor, and they face inadequate social support and limited social integration. Social support and social integration can directly influence the health status of the mobile elderly population. Additionally, social support can indirectly affect their health through the partial mediation of social integration. The health issues of mobile elderly individuals are not merely personal matters but rather social issues that require the collective attention of the entire society. Therefore, it is imperative to improve the implementation of social support for the mobile elderly population, enhance their social integration, and promote the health status of mobile elderly individuals through multifaceted approaches.
Experiences of Transgender Individuals in Accessing Oral Health Care in a Low and Middle- Income Country: A Qualitative Study from Pakistan
Authors: Jadoon Anhum Haroon , Shahzad Muhammad , Khattak Saad Ishaq , Ali Askar , Jennings Hannah Maria , Khattak Maria Ishaq 
Published: November 2024

Abstract

Background
Transgender individuals are one of the most marginalised groups globally, with their experiences of prejudice significantly impacting their dental care access and leading to social isolation. This study aimed to explore the experiences of transgender individuals in accessing oral health care services in Khyber Pakhtunkhwa, Pakistan.
Methods
A qualitative, phenomenological study design was utilized to gain in-depth insights. Eight transgender participants were purposively recruited from the districts of Haripur, Abbottabad, and Mansehra in the Hazara division of Khyber Pakhtunkhwa, Pakistan. Semi-structured interviews were conducted in Urdu and subsequently transcribed and translated. Thematic analysis based on a descriptive approach was utilised.
Results
The analysis revealed several barriers faced by transgender individuals in accessing oral health care, organised into key themes: 1. Healthcare discrimination and marginalisation, 2. Quality of care and dental professionals' attitude, 3. Cost and affordability of dental care, 4. Social stigma and the absence of community support, 5. Inclusive dental care facilities.
Results
The analysis revealed several barriers faced by transgender individuals in accessing oral health care, organised into key themes: 1. Healthcare discrimination and marginalisation, 2. Quality of care and dental professionals' attitude, 3. Cost and affordability of dental care, 4. Social stigma and the absence of community support, 5. Inclusive dental care facilities.
Conclusion
This research has identified several barriers faced by transgender individuals in Pakistan when accessing dental care, resulting in delayed treatment and poor oral health outcomes. Financial constraints and insufficient empathy from dental professionals further complicate these challenges. Implementing the participants’ recommendations of policy reforms, including anti-discrimination laws, separate waiting rooms and counters, to enhance access to dental care was highlighted. Policymakers may create a more inclusive dental service delivery system that meets the needs of transgender individuals.
MICPAT: Micro-architecture Independent Characteristics Profiling Analysis Tool for GPU Programs
Authors: Peng Wang , Kaiyuan Qi , Zhibin Yu , Guangfeng Su , Peng Liu 
Published: November 2024

Abstract

With the rapid evolution of GPU architectures, analyzing and optimizing the performance of GPU rendering programs has become increasingly complex and crucial. To tackle the challenges posed by this diversity and ensure microarchitecture-independent performance insights, this paper presents a comprehensive study of a GPU characteristic analysis tool called MICPAT. This tool assists users in observing the performance of microarchitecture-independent features in GPU programs before and after optimization. It extracts a series of key characteristics, including instruction mix, basic block count, instruction frequency, and CPU-to-GPU memory transfer allocation. Through comprehensive analysis of these characteristics, MICPAT provides developers with deep insights into their program behavior and performance. This enables developers to fully understand their programs and accurately identify optimization opportunities and performance bottlenecks. Taking the instruction mix characteristic as an example, it reveals the distribution of different types of instructions in the program, providing strong support for developers to perform performance optimization at the instruction level. The analysis of basic block count and program execution block size further reveals the parallelism and concurrency characteristics of the program. Additionally, MICPAT conducts a detailed analysis of instruction frequency, which helps developers optimize instruction-level performance and improve algorithm design. By using MICPAT, developers can collect and analyze characteristic data, evaluate the program's utilization of the memory hierarchy, and identify potential areas for performance optimization. To verify the effectiveness and practicality of MICPAT, this paper also presents experimental analyses using 100 GPU rendering programs, the Octane renderer, and the Rodinia and Parboil benchmark suites. Through microarchitecture-independent feature analysis, valuable insights into instruction mix, basic block count, and instruction frequency were obtained. These experimental results fully demonstrate the powerful capabilities and microarchitecture independence of MICPAT in GPU characteristic analysis. Therefore, by thoroughly analyzing program characteristics, developers can obtain important information about program performance and behavior, providing a strong reference for program optimization and performance improvement. The open source repo is https://zenodo.org/records/13623324.
Prevalence and Determinants of Chronic Non-Communicable Diseases among Prison Inmates in the City of Tete, Mozambique: A Cross-Sectional Study
Authors: Xavier Sancho Pedro , Motivo Nelson Jossefe Conde , Xavi Ramim , Cote Nelson Domingos , Silva Ageo Mário , Victor Audêncio 
Published: November 2024

Abstract

Background
High health inequalities and non-communicable chronic diseases (NCDs) are prevalent in the prison population, particularly in Sub-Saharan African countries, posing significant implications for morbidity and mortality. This study analyzes the prevalence and determinants of these diseases among prisoners in the city of Tete, Mozambique.
Methods
A cross-sectional study was conducted among inmates at the Tete City Prison, Mozambique. Diabetes Mellitus (DM) was diagnosed based on the criteria established by the International Expert Committee, which defines diabetes as a fasting plasma glucose (FPG) level of ≥ 126 mg/dL (7.0 mmol/L). Participants who reported a previous diagnosis of diabetes by a doctor or health professional were also classified as diabetic. Multivariate logistic regression was used to identify significant risk factors, reporting adjusted Odds Ratios (AOR) with a 95% confidence interval, considering a p-value < 0.05 as significant.
Results
The prevalence (95% CI) of hypertension, DM, and obesity was 36.90% (31.33; 42.73), 10.34% (7.09; 14.44), and 1.38% (0.38; 3.49), respectively. A family history of DM (AOR: 14.95; 95% CI: 3.32–67.44) and being female (AOR: 2.54; 95% CI: 1.43–4.52) were identified as risk factors associated with DM and Hypertension, respectively.
Conclusion
The study revealed high rates of DM and hypertension among inmates, highlighting family history as a risk factor for DM and the association of female with hypertension. Urgent implementation of preventive measures for hypertension, along with early screenings for individuals with a family history of DM, is essential to mitigate complications in prison environment.