bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of processes controlling the regional distribution of fluoride and arsenic in groundwater of the Western Jilin Province, Northeast China
Authors: Li Mingqian , Wang He , Gu Hongbiao , Sun Jiang , Chi Baoming 
Published: April 2024

Abstract

Groundwater is a critical resource for a locality, and high F and As contents in groundwater can substantially impact regional ecological stability. The Western Plain of Jilin has groundwater > 128 m, and F and As levels exceed the World Health Organization's (WHO) safe drinking levels. To assess the primary processes controlling the regional distribution of F and As in the aquifer, 225 wells at varying depths were selected and analyzed for groundwater sampling in the plain. Concentration ranges of F and As in the groundwater were 0.16–7.99 and 1–310 µg/L, respectively. Approximately 33% and 20% of the samples exceeded the WHO limit for F (1.5 mg/L) and As (10 µg/L), respectively. F and As were not significantly correlated. In the central part of the plain, the groundwater upstream of the Huolin River Basin had higher As concentrations, whereas the groundwater downstream had higher F concentrations. The sources and enrichment of F and As predominantly resulted from widespread natural processes with little signs of anthropogenic influence. Regional of F and As distributions are controlled by two processes: hydrogeological controls primarily in the upstream region of the Huolin River and hydrogeochemical controls mainly occurring in the middle and downstream areas of the river. The primary hydrogeochemical processes controlling F and As distribution and migration in the study area are the dissolution of carbonate rock (where HCO3− may act as a sorption competitor), an increase in pH, and cation exchange (release of Na+ and adsorption of Ca2+). Evapotranspiration only influences the enrichment process of F and As concentrations in localized shallow groundwater. Human–induced groundwater extraction is the primary cause of F and As migration in medium and deep groundwater. The mixing of highly concentrated F- and As-containing groundwater with uncontaminated groundwater presents a potential problem for future research.
Design of artificial island system use solar energy application in the development and recovery of coral in the sea of Viet Nam
Authors: Tài Lê Thanh , Văn Trần Gia , Tùng Lê Hoàng 
Published: April 2024

Abstract

Recognized coral reefs provide many benefits to the marine environment and ocean economy (such as marine biodiversity, coastal protection, fisheries and tourism, etc.). However, in recent years, many factors such as storms, pollution, overfishing and climate change have led to the decline of coral reefs worldwide. To address these damages, many reef restoration techniques have been developed such as direct transplantation, artificial reef creation or coral gardening. In general, some common methods apply only to small-scale or non-production projects. However, our idea is based on the principle of electrolysis (a method commonly used in the world) to increase the self-regeneration efficiency of coral reefs by direct current. Moreover, our solar island system can be applied for large scale and long term by using energy from solar panels with the support of a monitoring system. This research will refer to the design of a floating energy island system for the cultivation and restoration of corals at sea, and analyze the energy and buoyancy of the island. The results show that solar island applying coral electricity technology to restore and develop coral is a new method with high practical application. The island system achieved a safe free float per island station and the minimum buoyancy achieved was 175% higher than the safe buoyancy standard. However, the design of a solar island to restore coral still needs to be studied, tested and calculated with actual environmental conditions (convection, ocean waves, wind direction, current ...) to the island system.
Career Path Insights
Authors: Jadhav Aditya , Pandey MohitKumar , Zine Sahil , Baksh Muzfaar , Pawar Deepti 
Published: April 2024

Abstract

“Career Path Insights” is a digital platform that helps students navigate their path to success through a blend of technology, user engagement, and educational tools. It provides a user-friendly website with various features to support students in making well-informed career choices. Some of its key features include user registration, data input forms for academic and skill details, prediction of eligibility using machine learning, personalized career suggestions, user dashboards, interactive data display, a resume creator, and additional features to improve the overall user experience.
An Leakage detection Method for Water Supply Network Based on Federal Learning Network
Authors: Li Juan , Feng Weijia 
Published: April 2024

Abstract

Detecting leaks in water supply networks is a significant global challenge that faces several obstacles. Traditional methods for leak detection often exhibit limitations including low accuracy and high costs due to the complexity of the process. Furthermore, real-world application of these methods is hindered by factors such as scarce leak events, inadequate data collection methods, expensive data procurement, and privacy concerns around water supply network data. To overcome these barriers, our study proposes a leakage detection strategy for water supply networks that leverages a weighted optimization federal learning framework. By merging conventional leak detection techniques with federal learning, we enrich the leak detection dataset, enhancing the model's anomaly recognition abilities and fortifying its resilience. Through the implementation of effective weight allocation strategies, our method attains promising outcomes in identifying leaks within water supply network datasets, showcasing the efficacy of federal learning in leakage detection. This approach streamlines accurate detection and classification across diverse leak scenarios, introducing a novel perspective in tackling water supply network leakage challenges.
Examining Anxiety and Depression Levels among Undergraduate Nursing Students: A Cross-Sectional Study
Authors: Uddin Jalal , Fariha Tazveen 
Published: April 2024

Abstract

Background
Mental health is a critical aspect of well-being, especially among undergraduate nursing students. Nursing students face unique stressors that can impact their mental health. This study aimed to determine the of anxiety and depression level among undergraduate nursing students at Chattogram International Nursing College (CINC) in Bangladesh.
Methods
A cross-sectional study design was employed, and data were collected using an online questionnaire (google form) that included the Hospital Anxiety and Depression Scale (HADS). Convenience sampling was used to select 120 BSc Nursing students aged over 18 years. Data analysis was conducted using SPSS version 25.
Results
The majority of participants were female (88.3%), and the mean age was 20.47 years. The prevalence of anxiety was 66.0%, with 28.0% scoring in the normal range, 28.0% in the borderline abnormal range, and 38.0% in the abnormal range. For depression, 59.2% scored in the normal range, 22.4% in the borderline abnormal range, and 18.4% in the abnormal range. Pearson correlation test showed gender was significantly associated with anxiety (p = 0.004), while no significant associations were found between depression and gender, academic qualifications, contagious disease status, or close family members' infection status.
Conclusion
This study highlights a significant burden of anxiety among undergraduate nursing students at CINC, with a substantial proportion experiencing abnormal levels of anxiety. The findings underscore the importance of addressing mental health issues among nursing students and implementing strategies to promote their mental well-being.
Application of Explainable Artificial Intelligence to model the influence of firm-specific factors on stock performance in sub-Saharan Africa during COVID-19.
Authors: Ncube Mbongiseni , Sibanda Mabutho , Matenda Frank R 
Published: April 2024

Abstract

The COVID-19 pandemic has brought forth a novel and challenging investment environment for stock markets in both developed and emerging economies. This study delves into the under-researched field of factor investing, analysing the influence of firm-specific factors on stock performance in sub-Saharan Africa during the pandemic in four selected stock exchanges. Using explainable artificial intelligence (XAI), we analysed the cross-sectional data of firms listed on these exchanges in both the pre-pandemic and pandemic periods to identify the key factors driving stock returns. Our findings reveal that quality factors such as high profitability and low leverage emerged as the dominant drivers of resilience during the pandemic. This contrasts with the pre-pandemic scenario, where traditional factors, such as size, momentum, and value, were the primary determinants. We also find that during the pandemic, small-cap stocks generally outperformed large-cap stocks on larger stock exchanges, whereas large-cap stocks outperformed on smaller stock exchanges. The pandemic also ushered in a shift in the norm, as we found that highly volatile stocks outperformed low-volatility stocks and stocks classified as winners in the pre-pandemic period experienced a momentum crash. Further analysis explores the potential of factor-based portfolios. We demonstrate that portfolios constructed based on the identified key factors consistently outperform their market-cap weighted counterparts across all exchanges, both pre- and post-pandemic. This research highlights the importance of focusing on firm-specific factors to construct more resilient investment portfolios and potentially attain superior returns, even during times of economic turbulence.
Enhancing Crop Image Classification: Comparative Analysis of Augmentation Techniques for Small Datasets
Authors: Mandavalli Satish 
Published: April 2024

Abstract

In crop image classification, the sets of data often aren't very big, aren't balanced well, and don't exactly match what happens in real life. When models are trained using this data, they end up getting too good at the data they were trained on—and don't work so well on real data. The potency of three methods—transformative augmentation, data augmentation, and generative augmentation, in improving a small dataset of pests was estimated in this study. These methods were compared to a setup where the dataset wasn't changed at all. In the first method, random changes were made to things like brightness, rotation, and colors in the images to create more of them. In the second method, Generative Adversarial Network (GAN) is used to create fake images of pests to add to the small dataset. Three different models were then trained for each method to see how well they could identify the pests. This experiment was repeated a thousand times to ensure genuine results. It was found that at a certain level of confidence, the three methods made a big difference in how well the models could identify pests. The method using transformative augmentation worked the best. It helped make the images clearer by reducing things like background noise and differences in lighting and angles.
Effectiveness of mental health education among high school teachers in Japan: A prospective cohort study
Authors: Fujita Junichi , Sasaki Tsukasa , Miyazaki Hidehito , Saigusa Yusuke , Mochida Noriko , Aoyama Kumi , Takahashi Yuichi , Hironai Chiaki , Yamamoto Kyohei , Toyohara Nao , Nakamura Noriaki , Hishimoto Akitoyo 
Published: April 2024

Abstract

Aims: This study aimed to evaluate the effectiveness of a mental health educational program for high school teachers to improve their knowledge of student mental health.
Methods: We conducted a single-arm interventional study between 2018 and 2019 to compare high school teachers’ awareness of student mental health before and after a mental health educational program with four themes: suicidal behaviors, behavioral problems with developmental disabilities, school absenteeism/social withdrawal, and violent behaviors. A mixed-effects linear regression analysis of 130 samples assessed the program’s effectiveness.
Results: The acceptability of the program was favorable. The analysis revealed mental health knowledge improved by an average of 1.6 points (9.6% from the pretest average score) (95% CI 0.3–3.1, p< 0.02) on a 24-point scale. Knowledge of suicidal behaviors continued to improve after 1 year.
Conclusion: The results indicated that the program may improve educators’ knowledge, especially regarding suicidal behaviors.
Development of Low-Cost Growing Media with Mungbean as A Source of Carbon for Spirulina
Authors: Thathsatani AOT , Arunakumara KKIU , Marikar FMMT 
Published: April 2024

Spirulina is a multicellular, photosynthesis, filamentous blue-green algae which is found naturally in a wide range of fresh, marine, and brackish waters. It is an excellent source of protein, vitamins, minerals, lipids, carbohydrates, and pigments thus considered as the “superfood” of the century. The commercial production of Spirulina depends on many factors such as nutrient availability, temperature, and light. Zarrouk’s medium is known to be the standard media (SM) which contains all the macro and micro-nutrients required for the growth of Spirulina. The cost of nutrients is however found to be the second limiting factor next to labor cost affecting the commercial-scale production of Spirulina. The cost of carbon source is higher than that of N and P sources. Therefore, this study aimed at developing a low-cost medium for large-scale production of Spirulina. This intention was implemented by substituting carbon sources present in SM with cheaper and locally available carbon sources. Two separate experiments were conducted using a complete randomized design (CRD) with 3 replicates. The conventional carbon source in Zarrouk’s medium (NaHCO3) was substituted with low-cost carbon sources i.e., Mungbean flour (before and after germination separately). The carbon content in SM was replaced by 100 %, 75 %, 50 % and 25 % of Mungbean flour. Zarrouk’s medium was used as the control. The culture was maintained at 30 0C ± 2 0C under 4000 Lux, continuous illumination using a white, fluorescent tube for 16 days. Growth was measured using a spectrometer and optical density (OD) values were recorded at 560 nm with two days interval. Data were analyzed using SAS version 9.4. The best growth of Spirulina was recorded at the 50 % replacement of carbon in SM by Mungbean flour (before germination). Mungbean flour (after germination) could also replace 25 % of carbon in Zarrouk’s media. Taking the cost factor into consideration, 50 % replacement of carbon in Zarrouk’s medium by Mungbean flour (before germination) can be recommended for commercial scale cultivation. The comparative cost reduction of this replacement is estimated to be 50 %.
Determinants of Telemedicine Service Use Among Middle-Aged and Older Adults in Germany During the COVID-19 Pandemic: Cross-Sectional Survey Study
Authors: Neumann Ariana , König Hans-Helmut , Hajek André 
Published: April 2024

Abstract

Background
The occurrence of the COVID-19 pandemic demanded fast changes in the delivery of health care. As a result, significant growth in the use of telemedicine services occurred. Research, especially from nationally representative German samples, is needed to better understand determinants of telemedicine use.

Objective
The purpose of this study was to identify determinants of telemedicine service use among middle-aged and older adults during the COVID-19 pandemic in Germany.

Methods
Cross-sectional, nationally representative data were taken from the German sample of the Survey of Health, Ageing and Retirement in Europe (SHARE). The German Corona Survey 2 (n=2039), which was conducted between June and August 2021, was used for this study. Reporting experience with remote medical consultations during the COVID-19 pandemic served as the outcome measure. Associations with socioeconomic, psychological, social, health-related, and COVID-19–related determinants were examined using multiple Firth logistic regressions.

Results
Psychological factors including feeling nervous, anxious, or on edge (odds ratio [OR] 1.61, 95% CI 1.04-2.50; P=.03), feeling sad or depressed (OR 1.62, 95% CI 1.05-2.51; P=.03) and feelings of loneliness (OR 1.66, 95% CI 1.07-2.58; P=.02) were positively associated with telemedicine use. Moreover, forgoing medical treatment because of being afraid of being infected by SARS-CoV-2 (OR 1.81, 95% CI 1.10-2.97; P=.02) and describing limitations because of a health problem as severe were positively associated with the outcome (OR 2.11, 95% CI 1.12-4.00; P=.02). Socioeconomic and social factors were not significantly associated with telemedicine use in our sample.

Conclusions
Middle-aged and older individuals in Germany seem to use telemedicine services according to psychological needs and health limitations. Especially when psychological symptoms are experienced, telemedicine seems to be a promising service option in this age group. Future research is needed to confirm these initial findings in postpandemic circumstances.
Falsafah Ekonomi Syariah Sebagai Way Of Life Untuk Mencapai Falah
Authors: Faisal Mohammad , Tamrin Husni 
Published: April 2024

Tulisan ini bertujuan untuk menjadikan ekonomi syariah sebagai jalan hidup (way of life) untuk meraih falah, yakni kesuksesan yang hakiki, berupa tercapainya kebahagiaan dalam segi material dan spiritual, serta tercapainya kesejahteraan di dunia dan akhirat. Kekeliruan yang banyak terjadi adalah dalam memahami makna al-falah yang sesungguhnya, karena falah hanya dipahami sebatas materi saja, sehingga sikap dan tindakan seseorang dalam kegiatan ekonomi menjadi jauh dari asas dan konsep syariat Islam. Penelitian ini menggunakan metode pendekatan deskriptif-kualitatif dengan menggunakan teknik riset kepustakaan (library research). Dalam riset kepustakaan (library research), penelitian ini menggunakan data primer yang bersumber dari Al-Quran dan Hadits, dan data sekunder berupa jurnal, artikel, dan buku-buku referensi yang membahas topik yang berkaitan dengan masalah penelitian. Hasil penelitian menunjukkan bahwa untuk mencapai falah, manusia harus memahami filsafat Tuhan, manusia dan alam. Hakikat hubungan manusia dengan Tuhan dimaknai dengan mengemban amanah sebagai khalifah di muka bumi, yaitu untuk memakmurkan dan mensejahterakan umat manusia. Hakikat hubungan manusia dengan alam adalah bahwa manusia memanfaatkan alam demi terciptanya kebaikan di muka bumi dan menghindari perilaku pengrusakan alam, dan hakikat hubungan manusia dengan manusia lainnya adalah hubungan muamalah, dengan memperkuat ukhuwah sebagai pondasi awal dari kekuatan ekonomi Islam sebagaimana yang diajarkan Rasulullah pada saat membangun perekonomian di Madinah melalui sikap taathuf, tarahum, tafahum, takafful, tadhomun
Konsep Multiakad dalam Fatwa DSN-MUI: Sebuah Inovasi dalam Praktik Keuangan Syariah di Indonesia
Authors: Abduh Arridho , Asmuni Asmuni , Anggraini Tuti 
Published: April 2024

This article discusses the concept of hybrid contracts in Fatwa DSN-MUI which is an innovation in Islamic financial practice in Indonesia. The hybrid contracts concept is an approach that combines several Islamic contracts or financial instruments in one transaction to achieve the goals desired by the parties involved. This paper outlines various examples of the application of hybrid contracts in Islamic financial transactions. This article provides an overview of how the hybrid contracts concept became an innovation in Islamic financial practice in Indonesia. By using hybrid contracts, financial actors can achieve their goals in a sharia manner and minimize the risks associated with such transactions. However, a good understanding of sharia principles and guidance from authoritative institutions such as DSN-MUI is still needed to maintain the integrity and validity of sharia transactions.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
The Influence of Islamic Leadership and Organizational Culture on Lecturer Satisfaction and Performance Alkhairaat Palu University
Authors: Aldjufri Alwy , Basalamah Salim , Yunus Abd. Rahim , Bunyamin Andi 
Published: April 2024

Objectives: The aim of this research is twofold. Firstly, it seeks to analyze the influence of Islamic leadership and organizational culture on the job satisfaction and performance of lecturers at Alkhairaat University, Palu. Secondly, it aims to examine the impact of Islamic leadership and organizational culture on satisfaction and performance through job satisfaction.

Methods: This verification research employs a quantitative approach to analyze the influence of Islamic leadership variables and organizational culture variables on job satisfaction and performance of lecturers at Alkhairaat University, Palu.

Results: The results of this research reveal that Islamic leadership significantly affects the job satisfaction of lecturers at Alkhairaat University, Palu. Additionally, Islamic leadership has a significant effect on lecturer performance through job satisfaction, although it does not directly impact performance. This finding suggests that the influence of Islamic leadership on performance is mediated by job satisfaction. Organizational culture variables, on the other hand, significantly affect both job satisfaction and performance of lecturers at Alkhairaat University, Palu. Furthermore, organizational culture influences performance through satisfaction. Job satisfaction itself is found to significantly affect the performance of lecturers at Alkhairaat University, Palu.

Conclusion: In conclusion, this research highlights the significant influence of Islamic leadership and organizational culture on the job satisfaction and performance of lecturers at Alkhairaat University, Palu. While Islamic leadership directly impacts job satisfaction and indirectly affects performance through satisfaction, organizational culture directly influences both job satisfaction and performance. These findings underscore the importance of fostering positive Islamic leadership and a conducive organizational culture in enhancing the satisfaction and performance of lecturers in an Islamic-based institution like Alkhairaat University.