Do the Islamic Social Finance Institution Programs Realize the Sustainable Development Goals (SDGs)? Analysis of Dompet Dhuafa Program by Abdullah Sahroni, Siti Mardiah, Erdah Litriani

“…Data were collected through field observations, in-depth interviews with selected informants, and document analysis. …”
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The Non-Linear Relation between Governance and Efficiency: Evidence from Agriculture by Nizamettin Bayyurt, Zehra Vildan Serin

“…This study aims to explore the relations between governance and agricultural performance of countries. Data Envelopment Analysis was used to find out agricultural performance of 81 countries at first stage. …”
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ESG Integration in the Light of Regression Analysis by P. I. Sevostyanov, Z. V. Bogaturiya

“…These findings underline the necessity of well-balanced investment, data transparency and standard unification for successful ESG integration into corporate governance.…”
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Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection by Xin Luo, Liuliu Quan, Qingting Lin, Huiteng Rong, Yue Liu, Jiaqi Meng, Xin You

“…Therefore, in the present study, we aimed to elucidate the relationship between HCMV and autoantibodies in patients with SLE by integrating clinical data and genetic susceptibility. Methods Using various statistical methods, we conducted a retrospective analysis of the spectrum of SLE autoantibodies and HCMV infections among patients hospitalized at our center over the past 10 years. …”
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Innovative Efficiency Measurement Using Stackelberg Games and Neutrosophic Numbers by Ali Asghar Tatlari, Bijan Rahmani Perchkolaei, Farhad Hosseinzadeh Lotfi

“…This paper addresses the challenge of measuring efficiency in systems with two components using Stackelberg game theory and neutrosophic numbers to handle data uncertainty. Unlike traditional Data Envelopment Analysis (DEA) models that treat Decision Making Units (DMUs) as black boxes, we propose a new neutrosophic Network DEA (NDEA) model to compute efficiency scores for each division. …”
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A BIBLIOMETRIC ANALYSIS OF RESEARCH TRENDS ON GENDER AND SUSTAINABILITY: FUTURE RESEARCH PERSPECTIVES by Dilara Ünüvar Ünlüoğlu, Başak Demiray

“…This information includes authors, journals, year of publication, titles, and other bibliographic details. Then, the data obtained were evaluated by statistical analysis. …”
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Investigating whether connecting people can promote subnational economic development: Evidence from China–ASEAN friendship cities by Fangying Pang, Jingjing Tang, Hanwen Xie

“…We capture the ASEAN subnational economic development by calibrated satellite nighttime light data. …”
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Development of a Numerical Tool for Laminate Composite Distortion Computation Through a Dual-Approach Strategy by Cesar Banu, Mihai Bugaru

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Assessing the developmental effects of fentanyl and impacts on lipidomic profiling using neural stem cell models by Cheng Wang, Jinchun Sun, Rohini Donakonda, Richard Beger, Leah E. Latham, Leihong Wu, Shuliang Liu, Joseph P. Hanig, Fang Liu

“…These data indicated that despite the absence of clear neurodegeneration, fentanyl may still have a negative impact on the developing brain.…”
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Quantifying future Olympic sport selection: a data-driven framework for SDE evaluation and selection by Yunkun Song, Rui Dai, Qiaoyi Zhang, Yizhuo Sun, Yizhuo Sun

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The impact and mechanism of digital economy on agricultural development resilience: evidence from China by Xuandeng Xue, Jialin Gao, Shijie Xu

“…Clarifying the impact and mechanisms of digital economy on agricultural development resilience is of great significance for sustainable agricultural development.MethodsBased on the provincial panel data of 13 major grain-producing regions in China from 2010 to 2020, the evaluation system of digital economy and agricultural development resilience were constructed, and the entropy-TOPSIS method was used to measure them. …”
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Gasbag phase-change carbon dioxide energy storage: Development and economic study by Ao Ren, Yilin Liu, Qiji Sun

“…Finally, an economic analysis is conducted using specific data, demonstrating that optimizing temperature and pressure parameters at various nodes enhances overall system efficiency while reducing energy consumption. …”
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Peanut Value Chain Development: The Case of Lower Lake Victoria Basin of Kenya by George Okoth Odunga, John K. Bidzakin, Philip Okaka, Sheila Okoth, Beneah Mutsotso, Anil R. Graves

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Relationship between economic development, forest resources, and forest fires: European context by Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko, Svitlana Sytnyk, Iryna Dmytriieva

“…Conservation of forest resources is a prerequisite for sustainable development of human society, both in the context of preventing negative climate change and for economic growth. …”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…To identify the characteristics of professional development, a computer cluster analysis of texts was carried out using the K-means method of clustering. …”
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Employing sentinel-2 time-series and noisy data quality control enhance crop classification in arid environments: A comparison of machine learning and deep learning methods by Zahra Mohammadi Mobarakeh, Saeid Pourmanafi, Mohsen Ahmadi

“…In this study, we employed a novel hybrid approach, integrating time-series analysis, noisy data quality control, and different machine learning and deep learning models to classify croplands of complex multi-crop systems in central Iran. …”
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Remote sensing and climatic data for flood impact assessment in Al-Ain (UAE) by Mohand Bersi, Hakim Saibi, Kamal Abdelrahman, Mohammed S. Fnais, Mohamed Saber

“…This study presents a detailed geospatial assessment of the event, integrating optical satellite imagery, climatic data, and topographic analysis to quantify flood extent, depth, and impact. …”
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Were The “Best Made Better”? A Content Analysis of South Carolina 4-H Programming by Lauren B. Hood, Christopher J. Eck, K Dale Layfield, Joseph L. Donaldson

“…This study analyzes how 4-H, specifically in South Carolina, was implemented without meeting in person and how it affected retention rates during the pandemic. Analysis of quantitative data revealed a change in knowledge after participating in the virtual and take-home activities. …”
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Sex-related differences and associated transcriptional signatures in the brain ventricular system and cerebrospinal fluid development in full-term neonates by Yuxin Sun, Chenxin Fu, Lifan Gu, Huifang Zhao, Yuying Feng, Chao Jin

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Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

“…The classification of electroretinogram signals depends on the quality of labeled biomedical information or databases, in addition to this, the accuracy of the classification results obtained depends not only on computer technology, but also on the quality of the input data. To date, the analysis of electroretinogram signals is realized manually and largely depends on the experience of clinicians. …”
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