bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE EFFECT OF LISTENING TO HARSH WORDS ON THE REWARD OF FASTING : A Study Based on the Views of Prof. Dr. Shauqi Ibrahim Allam
Authors: Prasetya Debby Eka , Hafidzi Anwar 
Published: August 2024

This research aims to examine the fatwa issued by Prof. Dr. Shauqi Ibrahim Allam regarding the influence of listening to rude words on the rewards of fasting in Islam. The research method used is qualitative with a descriptive approach and literature review. The primary data analyzed is the fatwa of Prof. Dr. Shauqi Ibrahim Allam, while the secondary data includes related literature. The analysis is based on the content of the fatwa as well as its historical and theological context, considering its relevance in the modern life context. The research findings are expected to provide a deeper understanding of the Islamic perspective on speech ethics and listening and its implications for fasting worship. This is expected to provide practical guidance for Muslims in conducting fasting worship with full awareness and obedience to religious teachings.
Keywords: Influence of listening to rude words, reward of fasting, fatwa of Prof. Dr.
Shauqi Ibrahim Allam, Islam, speech ethics and listening, fasting worship

Abstrak
Penelitian ini bertujuan untuk mengkaji fatwa yang dikeluarkan oleh Prof. Dr. Shauqi Ibrahim Allam mengenai pengaruh mendengarkan perkataan kasar terhadap pahala puasa dalam Islam. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan deskriptif dan kajian pustaka. Data utama yang dianalisis adalah fatwa dari Prof. Dr. Shauqi Ibrahim Allam, sementara data sekunder meliputi literatur terkait. Analisis dilakukan terhadap isi fatwa serta konteks historis dan teologisnya, dengan mempertimbangkan relevansinya dalam konteks kehidupan modern. Temuan penelitian diharapkan dapat memberikan pemahaman yang lebih mendalam mengenai pandangan Islam terhadap etika berbicara dan mendengar serta implikasinya terhadap ibadah puasa. Hal ini diharapkan dapat memberikan pedoman praktis bagi umat Muslim dalam menjalankan ibadah puasa dengan penuh kesadaran dan kepatuhan terhadap ajaran agama.
Kata Kunci: Pengaruh Mendengarkan Perkataan Kasar, Pahala Puasa, Fatwa Prof. Dr.
Shauqi Ibrahim Allam, Islam, Etika Berbicara dan Mendengar, Ibadah Puasa
Dampak Riyāḍah Al-Qur’an Terhadap Santri
Authors: Fitriyani Kurnia Nur , Ulinnuha Muhammad 
Published: August 2024

In the complex challenges of modern times, the building of strong character and integrity is a top priority in pesantren-based education. This research is inspired by people who have finished reciting the Qur'an but might not be very good at memorizing the Qur'an.riyadah Al-Qur’an is a form of effort to maintain memorization of the Qur'an. This study provides an in-depth understanding of the practice of the riyadah of the Qur'an. The formulation of the problem in this study is how the genealogy of the Qur'an riyadah at the Asshiddiqiyah II Islamic Boarding School, how the practice of the Qur'an riyadah at the Asshiddiqiyah II Islamic Boarding School, and the impact of the Qur'anic riyadah on students at the Asshiddiqiyah II Islamic Boarding School. Then in this study using descriptive qualitative research with field research, which is a study that utilizes data sources using interview results. Initially, the genealogy that occurred began with students who had read the Qur'an 30 juz so as not to waste their memorization. Therefore, in order for students to get used to continuing to read and maintain memorization of the Qur'an, riyadah activities of the Qur'an are held. The practice carried out in the riyadah activities of the Qur'an is carried out individually by staying focused on reading the Qur'an in one day one khataman for 41 days. Then there is the effect that occurs when the riyadah of the Qur'an on the students of Asshiddiqiyah II Islamic Boarding School is different for each recipient. This research shows that the riyadah of the Qur'an that took place in Pondok Asshiddiqiyah II was good. Because Asshiddiqiyah II Islamic Boarding School is a modern Islamic boarding school located in the middle of the capital city but can bring Sufism teachings in it.
KONSEP MAHABBAH TOKOH UTAMA NOVEL LAYLA MAJNUN (Pendekatan Psikologi Sastra)
Authors: Lestary Merry , Sobari Dolla , Sumarna Luqman 
Published: August 2024

Penelitian ini merupakan penelitian sastra yang memanfaatkan teori psikologi sastra dalam melihat kejiwaan tokoh perilaku kecintaannya. Adapun rumusan masalah dalam penelitian ini yaitu; 1) Bagaimana konsep mahabbah Qays selaku tokoh utama dalam novel dengan melihat konsep mahabbah yang ditunjukkannya. Dalam penelitian ini, peneliti menggunakan teori mahabbah Erich Fromm sebagai tolak ukur untuk melihat konsep mahabbah tokoh Qays. Selanjutnya, peneliti menggunakan teori psikologii Erich Fromm sebagai media dalam menarik perilaku mahabbah tokoh Qays dalam novel Layla Majnun Layla Majnun ? 2) Bagaimana konsep mahabbah Qays selaku tokoh utama Novel Layla Majnun jika dilihat dalam kajian psikologi sastra? Tujuannya adalah untuk melihat lebih lanjut, psikologi tokoh dalam novel Layla Majnun . Metode penelitian yang digunakan dalam penelitian ini adalah penelitian perpustakaan atau penelitian kepustakaan, yang artinya penelitian ini menggunakan buku-buku sebagai sumber data utama. Sumber primer yang digunakan dalam penelitian ini adalah novel Qays bin Mulawah Majnun Layla atau Layla Majnun. Teknik data yang digunakan dalam penelitian ini adalah teknik dokumentasi, yaitu dalam mengumpulkan data peneliti menggunakan dokumen-dokumen sebagai sumber untuk mendapatkan data. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis wacana. Hasil dari penelitian ini menunjukkan bahwa konsep mahabbah yang ditunjukkan oleh tokoh Qays sepanjang alur kisah novel tersebut merupakan kecintaan yang cenderung egois, serta pernyataan individu yang sudah liberal jika dilihat dari kajian psikologi sastra.
Mengungkap Aspek Makna Pidato Kenegaraan Presiden Tunisia Qais Saied
Authors: Putri Nadya Syafira , . Masyhur 
Published: August 2024

Penelitian ini membahas tentang analisis ilmu ma’any yang terkandung dalam pidato kenegaraan Presiden Qais Saied dari Negara Tunisia. Tujuanpenelitian ini yakni untuk mendeskripsikan nilai-nilai ilmuma’anyyang terkandung dalam pidato kenegaraan tersebut dan mengungkapkan kebenaran terkait media massa yang mengatakan bahwa Presiden Qais Saied adalah sosok negarawan Tunisia yang fasih dan petah lidahnya dalam berbicara bahasa Arab. Adapun rumusan masalah dalam penelitian ini, yaitu: pertama, apa saja aspek ilmu ma’anyyang terkandung dalam pidato kenegaraan Presiden Qais Saied; Kedua, bagaimana aspek ilmu ma’anydalam pidato tersebut. Penelitian ini merupakan penelitian kualitatif dengan analisis isi terhadap pidato kenegaraan Presiden Qais Saied. Metode pengumpulan data yang peneliti gunakan dalam penelitian ini adalah metode dokumentasi dengan teknik pengumpulan datanya adalah dengan simak bebas libat cakap dan teknik catat. Berdasarkan hasil analisis data pada penelitian ini, peneliti menyimpulkan bahwasanya Presiden Qais Saied belum bisa sepenuhnya dikatakan sebagai seseorang yang fasih dan petah lidahnya dalam berbicara bahasa Arab dari segi ilmu ma’any. Karena peneliti menemukan kalimat yang keluar dari kriteria fashahah. Adapun kalimatyang tidak memenuhi kriteria fashahah terdiri dari kalimat keluar dari kaidah ilmu nahwu dan ilmu sharaf serta satu kalimat termasuk dalam kalimat yang jarang digunakan. Hasil analisis selanjutnya adalah ditemukannya kalam khabar dan kalam insya’ (namun tidak ditemukannya insya’ ghairu thalabi), musnad dan musnad ilaih, uslub pada bab qashar, data dalam bab washal dan data pada bab fashal. Kemudan data yang terkat dengan ijaz, data yang mengandung unsur ithnab dan kalimat yang menjadi data hasil dari musawah.
COMPETITION AS A KEY PROPERTY OF THE AGRICULTURAL PRODUCTS MARKET
Authors: Volyk Serhii 
Published: August 2024

Competition in the agricultural sector results from the unity of conflicting factors: the maximum freedom of activity of market forces and the significant influence of the state on the
processes taking place in the industry, which ensures the overall efficiency of social production. Regulation of competition in the agricultural market in developed countries is a developed and expensive system. Currently, it is impossible to provide the same robust support to the agricultural sector in the country, but the principles and methods used for this can be taken into account. Different types of competition are developing in the agri-food market. Intra-industry competition is possible only if production and sales costs are reduced and weak, technically backward enterprises are pushed out of the market. Interindustry competition leads to the redistribution of capital and other resources between industries, taking into account the rate of return. Participation in agriculture in this competition is only possible with state support due to the low speed of capital turnover and high capital intensity in this field. Intra-industry competition initiates technical progress, and inter-industry competition contributes to the structural development of the agricultural industry. To a certain extent, agricultural product markets are characterized by perfect competition, and food markets are characterized by monopolistic competition. It is emphasized that competition covers all spheres of commodity production, distribution, market exchange, and consumption. It manifests differently in each branch of the economy, which is determined by the specifics of their activity. Conducted studies of competition in the market of agricultural raw materials and food indicate the need to strengthen the competitiveness of domestic agricultural products and ensure consumer, quality, and price characteristics of agricultural products, raw materials, and food that are comparable to the world level, regardless of orientation to domestic or foreign markets. It is noted that competition in agriculture is characterized by many competitors on the market and obstacles in the production and sale of agricultural products.
INFERRING THE SIGNATURE OF PAST INTRA-PREDATORY COMPETITION FROM DRILLING PREDATION PATTERNS: INSIGHTS FROM RED SEA AND ADRIATIC SEA DEATH ASSEMBLAGES
Authors: CHATTOPADHYAY DEVAPRIYA , NAWROT RAFAŁ , ZUSCHIN MARTIN 
Published: August 2024

Abstract
The fossil record of drill holes on molluscan shells left by carnivorous predators has often been used to test the evolutionary impact of ecological interactions. Ecological experiments document a significant change in the predatory behavior of drillers due to competition and predict a substantial influence of such interaction on predator-prey dynamics. However, it is not always reliable to extrapolate results from experiments to the fossil record. The well-studied bivalve death assemblages from the Bay of Safaga (northern Red Sea) and the Bay of Panzano in the Gulf of Trieste (northern Adriatic Sea) provide a unique opportunity to test if the experimentally observed impact of competition on predatory drilling behavior can be detected in time-averaged molluscan assemblages. The death assemblages of the two regions exhibit unequal molluscan predator-prey abundance ratios (PPAR). Considering that competition among the predators increases when the number of prey individuals per predator decreases, we used PPAR as a new indirect proxy for intra-predatory competition and evaluated its relationship with various measures of drilling predation intensity and predatory behavior. In contrast to the expectations from the behavioral experiments of previous studies, our results show that higher PPAR in the Adriatic assemblage indicating more competitive seascape is associated with higher drilling frequency (DF), and lower edge-drilling frequency (EDF) compared to the Red Sea assemblage. On the other hand, the Adriatic assemblage has higher incidence of incomplete drill holes, which were mostly produced by larger predators. However, a number of taphonomic, ecological and environmental factors may obscure the relationship between PPAR and drilling predation measures observed in the studied death assemblages. Because it is nearly impossible to account for all of these factors in fossil assemblages, the PPAR-based approach of tracking intra-predatory competition may be difficult to apply in deep time, demonstrating the limits of using indirect proxies and experimental results to trace competition in the fossil record.
Benzodiazepines: a descriptive study of prescription patterns in Tabriz, Iran, 2021-2022
Authors: Fakhari Ali , Azimian Ali , Farahbakhsh Mostafa , Khameneh Amin , Matinkia Mahsa , Aghajani Ehsan 
Published: August 2024

Abstract

Introduction
Benzodiazepines are widely prescribed medications for anxiety, insomnia, and other conditions; they offer therapeutic benefits but also pose risks such as dependence and misuse. This study aimed to analyze the prescribing patterns of benzodiazepines among physicians in Tabriz, Iran, over a one-year period, considering factors such as physician specialty, age, and sex.
Method
A descriptive study was conducted using data extracted from the Social Security Organization in Iran. Benzodiazepine prescriptions in Tabriz from March 2022 to March 2023 were analyzed. Prescription data were categorized by physician specialty, age group, and sex. The statistical analysis was performed using SPSS 2022.
Results
A total of 217,154 benzodiazepine prescriptions were issued by 5,118 physicians to 144,386 individuals during the study period. Alprazolam was the most frequently prescribed benzodiazepine, followed by chlordiazepoxide and clonazepam. The prescription patterns showed that approximately age 40 was the mode, and the patterns were similar for both genders. General practitioners accounted for the highest frequency of prescriptions, followed by psychiatrists, internists, and cardiologists. Long-acting benzodiazepines were predominantly prescribed psychiatrists, who were particularly interested in this topic.
Conclusion
The differences in prescribing patterns among medical specialties highlight the nuanced considerations guiding benzodiazepine use in various clinical contexts. While cardiologists and surgeons prioritize short-acting benzodiazepines for perioperative anxiety management, neurologists and psychiatrists demonstrate a predilection for clonazepam, emphasizing familiarity and perceived efficacy based on clinical experience.
PM10 pollutant concentration forecasting through statistical and intelligent methods applied to Celaya City, México.
Authors: Gavira Amanda E. Violante , Trujillo-Romero Felipe 
Published: August 2024

Abstract

In recent decades, the World Health Organization and the scientific community have provided convincing evidence of the harmful effects on health due to exposure to atmospheric particles with a diameter of fewer than 10 microns or PM10. For this reason, this organization has alerted governments to measure, control, and evaluate air quality in real-time and in the medium term. For this reason, this work predicts PM10 particles using time series and a multilayer perceptron system to estimate PM10 concentrations over time. Four-time series models were analyzed, and four different multilayer perceptron architectures were used to determine the best prediction and know the pollutant's in short-term and medium-term future behavior. The results show that the neural system provides a better forecast in the short term with an error of 7.68% compared to the best time series method, the TIE, whose error was 27.20%. While in the medium term, the error was 31.10% for the TIE and 9.16% for the neural network.
Nurses’ Support of Treatment Decision-Making for Patients with Cancer During the COVID-19 Pandemic in Japan
Authors: Yoshida Shiori , Sasaki Konosuke , Sato Fumiko 
Published: August 2024

Abstract

Background
During the COVID-19 pandemic, cancer patients became reluctant to come to the hospital, receive cancer treatment, and were willing to interrupt or postpone treatment due to concerns about infection. The purpose of this study was to discuss effective treatment strategy decision making support for cancer patients by nurses recognized during the COVID-19 pandemic.
Methods
The study population comprised nurse of decision-making support at cancer care during COVID-19 from May to July 2021 at 49 the cancer care center hospitals were established in each prefecture, who had engaged 50% of their nursing care provided to patients with cancer. Data were collected on treatment strategy decision-making support using an online cross-sectional survey. Factors that influenced patients’ decision-making were identified using multivariable logistic regression analysis.
Results
A total of 182 (25.0%) were nurses engaged in decision making were enrolled in this study. Factors that influenced patients’ decision to receive treatment to their satisfaction were their resignation or compromise in accepting the decision due to the pandemic (odds ratio [OR] 0.44 (95% CI [0.22, 0.87]), videoconference follow-up (OR 0.17, 95% Cl [0.04, 0.66]), and infection prevention information provision (OR 3.82, 95% Cl [1.54,9.46]). Factors influencing patients’ decision to give up and accept the doctor’s recommendation even though they were not convinced included fear of disease progression (OR 2.51, 95% Cl [1.21, 5.22]), anger at not receiving the treatment they desired (OR 2.48, 95% Cl [1.17, 5.27]), and compromise with the pandemic situation (OR 3.15, 95% Cl [1.53, 6.50]). The factor that influenced patients’ continued treatment even though they were not convinced included the nurse listened to the patients’ thoughts (OR 0.07, 95% Cl [0.01, 0.51]).
Conclusion
Treatment decision support of patients with cancer during COVID-19 included lifestyle guidance to prevent the spread of infection and listening to their concerns to help them find meaning in their choices.
Research on target detection method of distracted driving behavior based on improved YOLOv8
Authors: Zhou Muyao , Shao Pengfei 
Published: August 2024

Abstract

Distracted driving is one of the main causes of road traffic accidents. With the rapid development of deep learning technology, the detection and classification of drivers' distracted driving behaviors have put forward higher accuracy requirements. However, the existing deep learning methods are computationally intensive and have many redundant parameters, which limits their efficiency and accuracy in practical applications. To solve this problem, this paper proposes an improved YOLOv8 driver distracted driving behavior detection method based on the original YOLOv8 model by integrating the BoTNet module, the GAM attention mechanism and the EIoU loss function. By optimizing the feature extraction and multi-scale feature fusion strategies, the model training and inference processes are simplified, and the detection accuracy and efficiency are significantly improved. Experimental results show that the improved model excels in both detection speed and accuracy, with an accuracy of 99.4%, and the model is small and easy to deploy. The model is able to identify and classify distracted driving behaviors in real time and issue timely alerts when dangerous driving behaviors are detected, thus improving driving safety.
Effects of brown rice supplementation on physical, cognitive and mental health among adults: Study protocol for a longitudinal, double-blind, randomized, placebo-controlled trial
Authors: Takahashi Michio , Kokubun Keisuke , Yoda Mayuko , Kawaoka Shinpei , Nakase Taizen , Tadashi Ohara , Taki Yasuyuki 
Published: August 2024

Abstract

Background
The consumption of brown rice, which contains bran and germs and is rich in fiber, micronutrients, and phytochemicals, can contribute to good physical, cognitive, and mental health. However, these health benefits and relevant mechanisms have not been fully elucidated, especially in human subjects. Therefore, we will conduct a randomized controlled trial to examine the effects of brown rice supplementation on various aspects of health and to elucidate the underlying mechanisms.
Methods
This study will be a prospective, longitudinal, double-blind, randomized, placebo-controlled trial. Eighty healthy adults aged 20 to 64 years will receive brown rice supplements or placebo for 6 months. We will assess immune function, metabolism, the gut microbiota, and physical and mental health at baseline and at the endpoint. We will also compare these data within and between intervention groups.
Discussion
This study is the first to examine the effectiveness of brown rice supplement consumption on various aspects of health, including immune, cognitive, physical and mental health. Furthermore, we hypothesize that changes in the variation in the gut microbiota play a key role in the mechanisms underlying these health effects; therefore, we will investigate how changes in the gut microbiota caused by the consumption of brown rice supplements affect health status. We hope that the information derived from this study will be useful for promoting the use of brown rice supplements as a healthy food and improving public health.
Trial registration:
University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR), UMIN000049330. Registered on 8 November 2022. https://rctportal.niph.go.jp/en/detail?trial_id=UMIN000049330
Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning
Authors: Chen Cai , Wang Jian , Li Dong , Sun Xiaohu , Zhang Jiyong , Yang Changjiang , Zhang Bo 
Published: August 2024

Abstract

Urban greening plays a crucial role in maintaining environmental sustainability and enhancing people's well-being. However, limited by the shortcomings of traditional methods, studying the heterogeneity and nonlinearity between environmental factors and green view index (GVI) still faces many challenges. To address the concerns of nonlinearity, spatial heterogeneity, and interpretability, an interpretable spatial machine learning framework incorporating the Geographically Weighted Random Forest (GWRF) model and the SHapley Additive exPlanation (Shap) model is proposed in this paper. In this paper, we combine multi-source big data, such as Google Street View data and remote sensing images, and utilize semantic segmentation models and geographic data processing techniques to study the global and local interpretation of the Beijing region with GVI as the key indicator. Our research results show that: (1) Within the Sixth Ring Road of Beijing, GVI shows significant spatial clustering phenomenon and positive correlation linkage, and at the same time exhibits significant spatial differences; (2) Among many environmental variables, the increase of vegetation coverage has the most significant positive effect on GVI, while the increase of building density shows a strong negative correlation with GVI; (3) Whether it is the vegetation cover rate, urban built environment or socio-economic factors, their influence on GVI shows non-linear characteristics and a certain threshold effect; (4) The performance of the GWRF model in simulating and predicting GVI is excellent and far exceeds that of existing models. Based on these findings, this study can provide an important reference for urban planners to enhance urban greening.