Analysis of ecological network evolution in an ecological restoration area with the MSPA-MCR model: A case study from Ningwu County, China by Ziyan Guo, Chuxin Zhu, Xiang Fan, Muye Li, Nuo Xu, Yuan Yuan, Yanjun Guan, Chunjuan Lyu, Zhongke Bai

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Safety profiles of IDH inhibitors: a pharmacovigilance analysis of the FDA Adverse Event Reporting System (FAERS) database by Ximu Sun, Han Zhou, Yanming Li, Yanhui Luo, Qixiang Guo, Yixin Sun, Chenguang Jia, Bin Wang, Maoquan Qin, Peng Guo

“…Disproportionality analyses including the reporting odds ratio and the Bayesian confidence propagation neural network were performed in data mining to assess IDH inhibitor-relatedAEs. Differentiation syndrome was the AE of special interest. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…This study provides a scientific basis for high throughput and rapid prediction of unknown pollutants, data mining, nontargeted screening, etc.…”
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Heavy metal and metalloid pollution: A systematic review of health implications for pregnant women, children, and geriatrics in the East African region by Godswill J. Udom, Brian Turyahabwe, Ayodeji Aturamu, Omoirri M. Aziakpono, Richard D. Agbana, Omole G. Joseph, Nita-wills G. Udom, Nuru Mugide, Omali P. Odey, Haron Olot, Orish E. Orisakwe

“…Despite increasing industrialisation and mining activities in the region, there is a lack of comprehensive analysis addressing the exposure pathways and associated health implications of these toxicants. …”
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How to transform cultivated land protection on the Northeast Tibetan Plateau？ A multifunctional path exploration by Rongrong Ma, Yuhan Huang, Wei Zhou, Jun Ren, Hongyu Wang, Zeyu Shi, Juan Wang

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Revealing Land-Use Dynamics on Thermal Environment of Riverine Cities Under Climate Variability Using Remote Sensing and Geospatial Techniques by Nazia Iftakhar, Fakhrul Islam, Mohammad Izhar Hussain, Muhammad Nasar Ahmad, Jinwook Lee, Nazir Ur Rehman, Saleh Qaysi, Nassir Alarifi, Youssef M. Youssef

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Optical time-lapsed in situ mechanochemical studies on metal halide perovskite systems by Yonghao Xiao, David G. Bradley, Wei Xin Chan, Xinwen Hu, Lian Xiao, Zhenpeng Liu, Zi Yang Tan, Xin Zhao, Chenfei Li, Mansour Sadek, Vikash Kumar Ravi, Ying Hern Tam, Xiaotao Wang, Felipe García, Handong Sun, Seow Chin Low, Poh Boon Phua, Tze Chien Sum, Xiuwen Zhou, Yee-Fun Lim, John V. Hanna, Han Sen Soo

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Molecular cloning and expression dynamics of Atrogin-1 in muscle tissue of Russian sturgeon (Acipenser gueldenstaedtii) under high salt stress by Yong-Juan Mo, Yi-Li Gao, Shi-Jjian Xu, Bin Wang, Jingping Wu, Peng Yu, Ming Li, Xiangtao Kang, Zhi-Qiang Han

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Identifying factors affecting the distribution strategy in the food industry with the attitude of marketing and online sales by solmaz seyedghafouri, Vahid nasehifar, Farid askari

“…Eventually, 16 components were evaluated and identified, and finally the ultimate framework was confirmed and identified by applying the total opinions of experts on the components of human factors, creating value for the customer, paying attention to the competence of managers, internal factors, external factors, management factors, opinion mining, digital marketing, environmental factors, content marketing, business strategies, complete knowledge of the internal and external environment, direct marketing, visual features, optimization, competitive performance. …”
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Bridging Land and Sea: Geophysical insights into coastal karstic groundwater dynamics, freshwater plumes and saltwater intrusions in the urban regions of Antalya (Türkiye) by Jasper J.L. Hoffmann, Ercan Erkul, Simon Fischer, Irfan Yolcubal, Pritam Yogeshwar, Wolfgang Rabbel, Amir Haroon, Şerif Bariş, Ahmet Şener, Jens Schneider von Deimling, Ismail Kaplanvural, Bülent Tezkan, Elif Şen, Felix Gross, Ertan Pekşen, Elnur Gasimov, Aaron Micallef

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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…The questionnaire assesses proficiency in providing accurate information on COVID-19 in relation to pregnancy. Text-mining, sentiment analysis, and readability (Flesch-Kincaid grade level and Flesch Reading Ease Score) were also conducted. …”
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Uranium Mineral Transport in the Peña Blanca Desert: Dissolution or Fragmentation? Simulation in Sediment Column Systems by Victoria Pérez-Reyes, Rocio M. Cabral-Lares, Jesús G. Canche-Tello, Marusia Rentería-Villalobos, Guillermo González-Sánchez, Blanca P. Carmona-Lara, Cristina Hernández-Herrera, Fabián Faudoa-Gómez, Yair Rodríguez-Guerra, Gregorio Vázquez-Olvera, Jorge Carrillo-Flores, Ignacio A. Reyes-Cortés, Daniel Hernández-Cruz, René Loredo-Portales, María E. Montero-Cabrera

“…Common uranium minerals in this area include uranophane, schoepite, and weeksite/boltwoodite, with several superficial occurrences. Mining activities in the 1980s left unprocessed uranium ore exposed to weathering, with potential transport towards Laguna del Cuervo. …”
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The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…The purpose of PDDIKTI data mining is to conduct early detection of students, so that lecturers can provide input when the students have been classified as students who graduate not on time and predict the number of students who will enter the tertiary institutions in one of the X study programs, so that management both the level of study program and university can take steps that are considered important to increase the number of students. …”
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29 m6A-RNA Methylation (Epitranscriptomic) Regulators Are Regulated in 41 Diseases including Atherosclerosis and Tumors Potentially via ROS Regulation – 102 Transcriptomic Dataset... by Ming Liu, Keman Xu, Fatma Saaoud, Ying Shao, Ruijing Zhang, Yifan Lu, Yu Sun, Charles Drummer, Li Li, Sheng Wu, Satya P. Kunapuli, Gerard J. Criner, Jianxin Sun, Huimin Shan, Xiaohua Jiang, Hong Wang, Xiaofeng Yang

“…We performed a database mining on 102 transcriptomic datasets for the expressions of 29 m6A-RNA methylation (epitranscriptomic) regulators (m6A-RMRs) in 41 diseases and cancers and made significant findings: (1) a few m6A-RMRs were upregulated; and most m6A-RMRs were downregulated in sepsis, acute respiratory distress syndrome, shock, and trauma; (2) half of 29 m6A-RMRs were downregulated in atherosclerosis; (3) inflammatory bowel disease and rheumatoid arthritis modulated m6A-RMRs more than lupus and psoriasis; (4) some organ failures shared eight upregulated m6A-RMRs; end-stage renal failure (ESRF) downregulated 85% of m6A-RMRs; (5) Middle-East respiratory syndrome coronavirus infections modulated m6A-RMRs the most among viral infections; (6) proinflammatory oxPAPC modulated m6A-RMRs more than DAMP stimulation including LPS and oxLDL; (7) upregulated m6A-RMRs were more than downregulated m6A-RMRs in cancer types; five types of cancers upregulated ≥10 m6A-RMRs; (8) proinflammatory M1 macrophages upregulated seven m6A-RMRs; (9) 86% of m6A-RMRs were differentially expressed in the six clusters of CD4+Foxp3+ immunosuppressive Treg, and 8 out of 12 Treg signatures regulated m6A-RMRs; (10) immune checkpoint receptors TIM3, TIGIT, PD-L2, and CTLA4 modulated m6A-RMRs, and inhibition of CD40 upregulated m6A-RMRs; (11) cytokines and interferons modulated m6A-RMRs; (12) NF-κB and JAK/STAT pathways upregulated more than downregulated m6A-RMRs whereas TP53, PTEN, and APC did the opposite; (13) methionine-homocysteine-methyl cycle enzyme Mthfd1 downregulated more than upregulated m6A-RMRs; (14) m6A writer RBM15 and one m6A eraser FTO, H3K4 methyltransferase MLL1, and DNA methyltransferase, DNMT1, regulated m6A-RMRs; and (15) 40 out of 165 ROS regulators were modulated by m6A eraser FTO and two m6A writers METTL3 and WTAP. …”
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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

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Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin by Ilham Kurniawan, Duwi Cahya Putri Buani, Abdussomad Abdussomad, Widya Apriliah, Rizal Amegia Saputra

“…Classification is a data mining method that determines categories in data groups to support more accurate predictions and analysis. …”
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Modeling Factors Influencing Project Financing Risk by Gholamreza Sharafi, Kiamars Fathi Hafashjani, Faegh Ahmadi

“…The study's statistical population comprises a diverse range of professionals, including experts, senior experts, supervisors, and managers from mining companies within the country under study. From this pool, a sample of 220 individuals was randomly selected to ensure robustness and representativeness in the analysis. …”
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Balanced displacement methods and effect evaluation of heterogeneous combination flooding in different reservoirs by Dejun WU, Jian HOU, Lijie LIU, Kang ZHOU, Zhibin AN

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Review and Prospect of Research on Urban Walking Safety and Environmental Influencing Factors Thereof by Lin LI, Yu YE, Yong CHEN

“…Especially in the field of data mining regarding urban form and walkers’ psychological perception, new technologies are helpful for in-depth analysis of the influence of built environment factors on walking safety. …”
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