bluuebunny/crossref_metadata_2025_split huggingface dataset:
Waqif Preference of Waqf-Based Qardhul Hassan Financing in Malaysia: An Analytic Hierarchy Process Perspective
Authors: Amin Hanudin , Abduh Muhamad , Shaikh Imran Mehboob , Panggi Faizah , Ag Omar Pg Mohd Faezul Fikri , Rizal Hamid , Ghazali Mohd Fahmi , Razak Dzuljastri Abdul 
Published: October 2023

Although Islamic banking products like tawarruq and bay al-inah personal financing products available in the Malaysian Islamic banking market, their ability to meet the need of those disadvantaged in the case of health crisis like COVID-19 or financial crisis are somehow marginal. There is a need for Islamic social finance products to meet this challenge and one of them is the offered qardhul hassan financing funded through crowdfunding on the basis of waqf. This is called waqf-based qardhul hassan financing. For this purpose, this study introduces QAFSCALE, referred to qardhul hassan financing scale to gauge waqif preference on the facility should it is made available in the market. A total of 324 waqif or donors were participated in this study to identify their preference in donating their money in the facility should it is introduced. This study used Attia’s (2010) maqasid al-Shariah theory to generate the QAFSCALE, beginning from the conceptualisations, dimensions and importantly the batter items that represent the QAFSCALE. Analytic Hierarchy Process (AHP) is used. The results obtained indicate that humanity factor is ranked first in importance, followed by family factor, consumer factor and ummah factor. This study limitation is the sample size. A broader sample would have made the result better. Adding to that, the newly designed scale is first of its kind in the context of waqf-based qardhul hassan financing and more studies needed to prove its applicability and generalization, at least. The results obtained might be of interest to managers of Islamic banks and the like to understand their potential waqif preference in the context of waqf-based qardhul hassan financing. Four factors drawn from QAFSCALE were evaluated to identify important factors leading to the waqif contribution on waqf.
Plasticity of red wine sensory profiles: improved understanding through grape berry sugar loading profiles
Authors: Antalick Guillaume , Šuklje Katja , Blackman John W. , Schmidtke Leigh M. , Deloire Alain 
Published: October 2023

Reproducible aromatic red wine styles can be predicted based upon the measurement of grape berry sugar accumulation (corresponding to the quantity of sugar that accumulates per berry; mg/berry/day) and berry fresh mass. Distinct maturity stages, “Fresh Fruit” reminiscent of fresh/red fruits notes and “Mature Fruit” associated with dark fruit and plum characters could be correlated to berry sugar accumulation (mg/berry) and berry fresh mass evolution without any direct relationship with berry sugar concentration. After berry sugar accumulation plateaued, wine aromatic and phenolic maturity were uncoupled from technological maturity.
Splenic Stiffness Measured by 3-Tesla Magnetic Resonance Elastography Is Correlated with Age in Healthy Individuals
Authors: Poçan Süheyl , Karakaş Levent 
Published: October 2023

Background: We aimed to determine the splenic stiffness (SS) values in healthy individuals as measured by 3 Tesla magnetic resonance elastography (3T MRE) and to investigate the possible effects of parameters such as age, sex, spleen volume, diameter, and parenchyma thickness on SS.
Methods: A total of 54 healthy volunteers were included in this cross-sectional study. Participants&#039; age and sex information were recorded, in addition to spleen craniocaudal and anteroposterior diameter, cortical thickness, spleen volume, and SS, which were measured using 3T magnetic resonance imaging and MRE. Results: Twenty-nine male and 25 female subjects with a mean age of 54.78±15.40 years were included in the study. Mean cradiocaudal diameter was 10.46±1.16 cm, anteroposterior diameter was 9.88±1.29 cm, parenchyma thickness was 4.08±0.67 cm, SS was 3721.94±709.69 Pascal (Pa), and median spleen volume was 292.54 (239.40-311.00) cm3. A significant positive correlation was observed between age and SS (r=0.779, p&lt;0.001). The SS values were not associated with sex, craniocaudal diameter, anteroposterior diameter, parenchymal thickness, or volume Conclusion:Age should be considered when using SS in the diagnosis and staging of relevant diseases such as portal hypertension and esophageal varices. Our results should be confirmed by future studies using 3T MRE in larger populations.
Dynamic Relationship between Environmental Degradation and Institutions in Pakistan
Authors: Idrees Muhammad Asif , Anjum Sadia , Ali Hammad , Rehman Qazi Mouqaddas 
Published: October 2023

The paper’s attempt is to fill up the gap in the energy literature with a complete nation revise for Pakistan. We examine the affiliation between CO2, institution quality (IQ), GDP, energy expenditure (EU) and trade openness (TO) for Pakistan over the period of 1984-2014. ARDL model is used for co-integration, CUSUM test for analysis. The consequence shows that there is a long run affiliation with the variables. In addition, we find in one direction fundamental affiliation successively from GDP to CO2 emissions.
Exploring the Role of Well-being for Improving Students’ Performance at Secondary Level in Pakistan
Authors: Jabeen Shazia , Hisham ul Hassan Dr. Khawaja , Akmal Farhana 
Published: October 2023

The present study was aimed to exploring the role of Well-being for improving students’ performance at secondary level in Pakistan. well-being included students’ happiness, positive emotions, school satisfaction and personality development. A qualitative method was used to research. The purposive random sampling technique was used for data collection. Four students were selected as participants from two schools. The participants were studying in 10th grade. The purpose of the study was to explore the opinion of students about their schools. And to explore the role of well-being for students ‘academic performance and school life satisfaction. The semi structured interviews were taken from the participants. The interviews were recorded and transcribed and thematic analysis was made. Main themes and sub themes were developed from the data. The result showed that well-being has a significant role in students’ performance in Pakistani students.
Encuesta Nacional de Salud y Nutrición 2023: metodología y avances de la Ensanut Continua 2020-2024
Authors: Romero-Martínez Martin , Shamah-Levy Teresa , Barrientos-Gutiérrez Tonatiuh , Cuevas-Nasu Lucía , Bautista-Arredondo Sergio , Colchero M Arantxa , Gaona-Pineda Elsa B , Martínez-Barnetche Jesús , Alpuche-Aranda Celia , Gómez-Acosta Luz M , Mendoza-Alvarado Laura R , Rivera-Dommarco Juan , Lazcano-Ponce Eduardo 
Published: October 2023

Objetivo. Presentar la metodología de la Encuesta Nacional de Salud y Nutrición 2023 (Ensanut 2023) y describir los procedimientos de inferencia para conjuntar la información colectada por la Ensanut Continua 2020-2024. Material y métodos. La Ensanut 2023 es la cuarta encuesta de la serie Ensanut Continua. Se describe el alcance de la Ensanut 2023 junto con sus procedimientos de muestreo, estimación, medición y organización logística. Además, se discute el procedimiento básico de estimación para analizar la integración de las encuestas Ensanut Continua 2020-2024. Resultados. La Ensanut 2023 obtendrá a nivel nacional al menos 11 720 entrevistas completas de hogar y 13 378 cuestionarios completos de adulto. La unión de las Ensanut Continua 2020-2023 permitirá, en general, estimar a nivel estatal prevalencias p≥5% en adultos, con confiabilidad tolerable según las recomendaciones del Instituto Nacional de Estadística y Geografía. Conclusiones. El análisis de la unión de la Ensanut Continua 2020-2023 permitirá iniciar la generación de estimaciones nacionales y estatales sobre el estado de salud y nutrición de la población mexicana.
IKK2 controls the inflammatory potential of tissue-resident regulatory T cells
Authors: Cook Matthew , Cardinez Chelisa , Hao Yuwei , Kwong Kristy , Davies Ainsley , Downes Morgan , Chand Rochna , Feng Zhi-Ping , Enders Anselm , Vinuesa Carola , Miraghazadeh Bahar 
Published: October 2023

Abstract
Loss-of-function mutations have provided crucial insights into the immunoregulatory actions of Foxp3 + regulatory T cells (Tregs). By contrast, we know very little about the consequences of defects that amplify aspects of Treg function or differentiation. We report that mice heterozygous for an Ikbkb gain-of-function (GoF) mutation develop psoriasis. Doubling the gene dose (IkbkbGoF/GoF) results in dactylitis, spondylitis, and characteristic nail changes, which are features of psoriatic arthritis. IkbkbGoF mice exhibit a selective expansion of Foxp3 + CD25 + Tregs of which a subset express IL-17. These modified Tregs were enriched in both inflamed tissues and spleen, and their transfer was sufficient to induce disease without conventional T cells. Single-cell transcriptional and phenotyping analyses of isolated Tregs revealed expansion of non-lymphoid tissue (tissue-resident) Tregs expressing Th17-related genes, Helios, tissue-resident markers including CD103 and CD69, and a prominent NF-kB transcriptome. Thus, IKK2 regulates tissue-resident Treg differentiation, and overactivity drives dose-dependent skin and systemic inflammation.
Integrating Structure Time Series Forecasting and Multicriteria Decision Analysis for Adaptive Operational Risk Assessment: An Empirical Study Using Real-Time Data
Authors: Peng Guicang , Selvik Jon Tømmerås , Abrahamsen Eirik Bjorheim , Bang Knut Erik , Markeset Tore 
Published: October 2023

Abstract

This study presents a framework for integrating Multi-Criteria Decision Analysis (MCDA) and Structure Time Series (STS) prediction for multifaceted operational risk assessment often with highly dynamic risk determinants. In particular, by utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an MCDA method, the framework is able to prioritize risk determinants according to their inherent uncertainties’ impacts on their respective operational objectives, and by employing Seasonal Autoregressive Integrated Moving Average (SARIMA) as an STS technique, the framework emphasizes real-time knowledge utilization for iteratively reducing uncertainty. By integrating SARIMA and TOPSIS, the framework aims to construct a multivariate operational risk assessment profile that is prioritized and continuously updated by the latest data and knowledge.
Based on the proposed framework, the study constructs a mathematical model, coded by Python, and employs the model to perform an empirical assessment of 161 countries’ operational risk, using the Armed Conflict Location & Event Data Project’s (ACLED) real-time data. A comprehensive analysis of the model’s functionality, quality, and sensitivity is provided based on the assessment result. Conclusions and limitations are also discussed, highlighting the model’s theoretical novelty and practical implications.
Dynamics of an Age-Structured Tumor Cell Population Model with Nutrition
Authors: Liu Chunhua , Liu Xianning , Wang Yan , Wei Yangjiang 
Published: October 2023

Abstract

A nonlinear age-structured tumor population model, in which the tumor population is divided into proliferating and quiescent cells, and the probability of mitosis in proliferating cells are determined by the concentration of nutrient and the proliferating cells, is provided and analyzed. The dynamic behaviors of the model are investigated by means of semigroup operator theory. Firstly, a threshold called $R_{0}$ is proposed, and the model always exists a tumor-free steady state, which is locally asymptotically stable if $R_{0}<1$, and a sufficient condition for its global stability is also obtained. Secondly, a special piecewise function with time delay describing the 'birth' of proliferating cells is introduced, and a particular threshold $R_{0s}$ in accordance with it is obtained. If $R_{0s}>1$ it is shown that there exists a unique positive steady state, which is locally asymptotically stable once it appears. Further, several numerical analyses are carried out to illustrate the validity of the theoretical results, which shows that the nonlinearity of split rate not only halts tumor's exponential growth but also forces the tumor population converge to constant and sometimes even like the Gompertz growth. The results suggest that it may be a good treatment to prolong the split time as long as possible during tumor therapy.
Mathematics Subject Classification (2020) 34D20 · 35A25 · 92C37
Human capital indicators as influenced by SES, cognitive and non-cognitive skills: Evidence from Taiwan’s most recent PISA survey
Authors: Boman Björn 
Published: October 2023

Abstract
Taiwan’s high performance in the PISA surveys has not been unnoticed by researchers. However, both individual level research and cross-national research relevant for Taiwan’s PISA achievement is typically lacking, especially as regards the latest survey. This article examined Taiwan’s PISA mathematics and reading achievement in 2018 in two complementary studies, using individual level data (N = 7243) and cross-national data with aggregated data for 32 countries. At the individual level, socioeconomic and non-cognitive variables explain the most variance of PISA mathematics and reading. At the cross-national level, Taiwan’s greatest comparative advantage is the high cognitive abilities among schoolchildren. Individual level PISA data would likely benefit from cognitive ability tests and Five-Factor model variables as there is substantial unexplained variance.
Psoas mass index at the level of the third lumbar vertebra on computed tomography is a prognostic predictor for metastatic castration-sensitive prostate cancer
Authors: Owa Shunsuke , Sasaki Takeshi , Ikadai Ryota , Tabata Yusaku , Takeuchi Yushiro , Nishikawa Taketomo , Kato Momoko , Higashi Shinichiro , Sugino Yusuke , Masui Satoru , Nishikawa Kouhei , Inoue Takahiro 
Published: October 2023

Abstract
Background
Computed tomography-defined low skeletal muscle mass is associated with oncological outcomes in prostate cancer. However, its association with the outcomes in hormone-treated metastatic castration-sensitive prostate cancer is unclear. This study aimed to determine the association between metastatic castration-sensitive prostate cancer and psoas muscle parameters.
Methods
We retrospectively reviewed 121 patients with N1 and/or M1 metastatic castration-sensitive prostate cancer who underwent primary androgen deprivation therapy either with a luteinizing hormone-releasing hormone agonist/antagonist or with surgical castration accompanied by first-generation anti-androgen bicalutamide treatment between 2005 and 2021. Before treatment, the psoas muscle index at the level of the third lumbar vertebra (psoas muscle area [cm2]/height2 [m2]) and the mean Hounsfield units of the psoas muscle were evaluated in relation to oncological outcomes using non-contrast computed tomography.
Results
The median follow-up was of 56.9 months. Furthermore, 82 (67.7%) and 53 (43.8%) patients progressed to castration-resistant prostate cancer and died during follow-up, respectively. Multivariate analysis of castration-resistant prostate cancer-free survival and overall survival showed significant differences in the Gleason score, clinical N stage, and psoas muscle index (median cut-off: 3.044 cm2/m2). Kaplan–Meier curves of a novel prognostic model using these three risk factors showed significant differences (P <0.001).
Conclusions
A pretreatment low psoas muscle index was an independent predictor of a poor castration-resistant prostate cancer-free survival and overall survival in patients with N1 and/or M1 metastatic castration-sensitive prostate cancer. Our novel prognostic model could help predict worse outcomes in susceptible patients.
Carthamus tinctorius L. genome sequence provides insights into synthesis of unsaturated fatty acids
Authors: Dong Yuanyuan , Wang Xiaojie , Liu Xiuming , Yao Na , Jing Yang , Du Linna , Li Xiaowei , Wang Nan , Liu Weican , Wang Fawei , Li Xiaokun , Li Haiyan , Wang Yuanxin 
Published: October 2023

Abstract
Domesticated safflower (Carthamus tinctorius L.) is a widely cultivated edible oil crop. Here, we present the genome assembly for C. tinctorius variety Jihong01, which was obtained by integrating Oxford Nanopore Technologies (ONT) and BGI-SEQ500 sequencing results. The assembled genome was 1.04 Gb, and consisted of 32,379 protein-coding genes, 97.71% of which were functionally annotated. Safflower had a recent whole genome duplication (WGD) event in evolution history and diverged from sunflower approximately 37.3 million years ago. Comparative genomic and differential gene expression analyses at five stages of seed development revealed that genes encoding fatty acid desaturase 2, fatty acid desaturase 6 play key roles in determining linoleic acid composition. Analyses of fatty acids contents obtained from seeds at different stages revealed FAD2 and FAD6 are crucial for the biosynthesis of LA, the major fatty acids component of seed lipids. Our data can be used in breeding programs to improve quality traits and provide a foundation for further research on the natural properties of safflower.
Synthesis of meta-functionalized phenols and anilines
Authors: Wang Yong-Qiang , Zhao Bao-Yin , Jia Qiong 
Published: October 2023

Abstract
Phenols and anilines are of extreme importance for medicinal chemistry and material science. The development of efficient approaches to prepare both compounds has thus long been a vital research topic. The utility of phenols and anilines directly reflects the identity and pattern of substituents on the benzenoid ring. Electrophilic substitutions remain among the most powerful synthetic methods to substituted phenols and anilines, yet in principle achieving ortho- and para-substituted products. Therefore, the selective preparation of meta-substituted phenols and anilines is the most significant challenge. We herein report an efficient copper-catalyzed dehydrogenation strategy to exclusively synthesize meta-functionalized phenols and anilines from carbonyl substituted cyclohexanes. Mechanistic studies indicated that this transformation underwent a copper-catalyzed dehydrogenation/allylic hydroxylation or amination/oxidative dehydrogenation/aromatization cascade process.
Whether deep learning is an efficient method for carbon emission prediction research?
Authors: Yao Xiao , Zhang Hong , Wang Xiyue , Jiang Yadong , Zhang Yuxi , Na Xiaohong 
Published: October 2023

Abstract
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction policies. Among the current technologies for forecasting carbon emissions, the most prominent ones are econometric models and deep learning, but few works have systematically compared and analyzed the forecasting performance of the methods. Therefore, the paper make a comparison for deep learning model, machine learning model, and the econometric model to demonstrate whether deep learning is an efficient method for carbon emission prediction research. In model mechanism, neural network for deep learning refers to an information processing model established by simulating biological neural system, and the model can be further extended through bionic characteristics. So the paper further optimizes the model from the perspective of bionics, and proposes an innovative deep learning model based on the memory behavior mechanism of group creatures. Comparison results show that the prediction accuracy of the heuristic neural network is higher than that of the econometric model. Through in-depth analysis, the Heuristic neural network is more suitable for predicting future carbon emissions, while the econometric model is more suitable for clarifying the impact of influencing factors on carbon emissions.
Exploring Chaos and Ergodic behavior of an Inductorless Circuit driven by Stochastic Parameters
Authors: Seth Soumyajit , Bera Abhijit , Pakrashi Vikram 
Published: October 2023

Abstract

There exist extensive studies on periodic and random perturbations of various continuous maps investigating their dynamics. This paper presents a random piecewise smooth map derived from a simple inductor-less switching circuit. The bifurcation parameter is bounded and randomly selected from a stationary distribution. Due to the stochasticity inherent in either the parameter values or the state variable, the time evolution of the state variable cannot be predicted at a specific time instant. We observe that the state variable exhibits completely ergodic behavior when the minimum value of the parameter is 2.0. However, the ensemble average of the state variable converges to a fixed value. For parameter values ranging from 2.0 to 3.5, the system demonstrates nonchaotic behavior and the absolute value of the Lyapunov exponent increases monotonically with the asymmetry (ap) of the distribution from which the bifurcation parameter values are sampled. We determine the probability density function of the random map and verify its invariance under any initial condition. The most noteworthy result is the disappearance of chaotic behavior when the lower range of the distribution is varied while maintaining a fixed upper threshold for a particular distribution, even though the nonrandom map exhibits an array of periodic and chaotic behaviors within that range.
A novel surface topography prediction method for hybrid robot milling considering the dynamic displacement of end-effector
Authors: Qin Xuda , Li Yifei , Feng Gongbo , Bao Zhengwei , Li Shipeng , Liu Haitao , Li Hao 
Published: October 2023

Abstract
There are extremely high requirements for the surface quality and integrity of parts in the automotive, aerospace and die/mold industry. Meanwhile, due to the advantages of large workspace, strong flexibility and low cost, the hybrid robots have shown broad application prospects in the above fields of machining or manufacturing. However, limited by the stiffness of robot joints and links, the surface topography of milled workpiece is more susceptible to the dynamic response caused by the variation of robot postures and cutting forces. The simulation of the surface topography in the robotic milling process remains a challenging goal. This paper focuses primarily on the dynamic displacement of end-effector for the TriMule hybrid robot as well as its impact on the topography of milled surface. In this paper, a framework model for predicting the topography of milled surface is developed first, and then further perfected by incorporating the dynamic displacement of the robot-tool system in the machining process. In this method, the dynamic model of the robot milling process is developed based on the stiffness of the TriMule hybrid robot within the entire workspace. After that, the finite element method is introduced to discretize the tool and workpiece, and the topography of the milled surface can be regenerated through the Boolean operations and the Z-MAP method. Finally, a series of validation experiments are conducted and the results indicate that the proposed model can be used to predict the topography of the surface milled by the hybrid robot in different postures.