Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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Development of Cyber Security Platform for Experiential Learning by Abhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad

“…The present research proposes a comprehensive web-based platform that can be used to communicate, collaborate and practice various use cases in the domain of network intrusion detection tools using machine learning algorithms and to evaluate user experience. …”
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A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

“…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

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Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model by HOU Xiang-dong, ZHAO Xiang-ling

“…[Methods] The Nansu River Basin was selected as the research area. A one-dimensional hydrodynamic-water environment coupled MIKE11 model was constructed, utilizing chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) as key indicators. …”
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Comparative Analysis of the Bioactivity and Anti-Inflammatory Effects Against Endotoxin in Mitochondria for Transplantation: Impact of Muscle Origin in Rats by Da-Wei Huang, Heng-Juei Hsu, Pei-Wen Chen, Ming-Tse Wu, Chia-En Wong, Chi-Chen Huang, Po-Hsuan Lee, Hui-Fang Chen, Jung-Shun Lee

“…These findings provide critical insights into optimizing MT outcomes through the strategic selection of mitochondrial sources.…”
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Gut microbiome composition and diversity of wild-caught and hatchery-bred milkfish (Chanos chanos) fry by Gardel Xyza L. Silvederio, Therese F. Javellana, Ande Bryle N. Genciana, Maria Alexandra G. Fontanilla, Rex Ferdinand M. Traifalgar, Fredson H. Huervana, Carmelo S. del Castillo

“…Milkfish is the most produced finfish in the Philippines, with approximately 75 % of its fry sourced from hatcheries. Despite numerous studies on gut microbiota of wild and cultured fish species, the diversity and functional roles of the milkfish fry gut microbiome remain poorly understood. …”
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Identification of positive selection signatures associated with milk and composition traits in Murciano-Granadina and Barki by Hossein Mohammadi, amir hossien khaltabadi farahani, Mohammad Hossein Moradi

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SCIENTIFIC AND PRACTICAL APPROACHES TO THE FORMATION OF READINESS OF FUTURE SPECIALISTS IN THE SOCIONOMIC SPHERE FOR THE SOCIAL SUPPORT FOR PARENTS OF CHILDREN WITH SPECIAL NEEDS by Sapozhnykov Stanislav, Teplytska Alina

“…The article states that the integration of the above-presented scientific and practical approaches to the formation of a certain level of readiness in future specialists in the higher education system of Ukraine is realized in practical activities via the selection of the appropriate content of tasks, methods, techniques, forms and teaching tools. …”
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Egyptian pediatric kidney transplantation: highlights on post-transplant follow-up and management of complications by the Egyptian Pediatric Clinical Practice Guidelines Committee... by Bahia Moustafa, Neveen A. Soliman, Ihab Shaheen, Ahmed Badr, Fatma M. Atia, Mohamed K. El Hatw, Engy Adel Mogahed, Mona EL-Ghamrawy, Khaled El Khashab, Noha Shaheen, Mohamad G. Shouman, Abeer Selim, Magdy El-Sharkawy, Tarek Abd El Azeem, Mohamad Esmat, Manal Salman, Bedeir Ali-El-Dein, Mona Abdel Rahim, Muhamed A. El-Hadedy, Moatasem Elsayed Ghoneim, Mai S. Korkor, Tarek E. I. Omar, Yasser Amer, Ashraf Abdel Baky, On Behalf of Egyptian Pediatric Clinical Practice Guideline Committee

“…Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. Aim/objectives This national adapted guideline aims to frame evidence-based post-transplant recommendations adopted or adapted from EB source guidelines to optimize post-transplant patient care. …”
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Effects of Clozapine, Haloperidol, and the NMDA Antagonist Ketamine on Novel Object Recognition in <i>Gnathonemus petersii</i>: A New Possible Model for Schizophrenia Research by Petra Horká, Josefina Mavrogeni, Veronika Langová, Pavel Horký, Jan Hubený, Ivana Chrtková, Karel Valeš, Martin Kuchař, Jiří Horáček

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Crystallographic fragment screening reveals ligand hotspots in TRIM21 PRY-SPRY domain by Yeojin Kim, Aleksandar Lučić, Christopher Lenz, Frederic Farges, Martin P. Schwalm, Krishna Saxena, Thomas Hanke, Peter G. Marples, Jasmin C. Aschenbrenner, Daren Fearon, Frank von Delft, Andreas Krämer, Stefan Knapp

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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…Results show that the source-time function based on the fractional-order Gaussian function wavelet can better fit complex recording waveforms compared with the conventional Ricker wavelet-based source-time function, and the waveform misfit during the L-BFGS iteration decreased rapidly. …”
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A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq by Mailin Gan, Yuhang Lei, Kai Wang, Yan Wang, Tianci Liao, Jianfeng Ma, Li Zhu, Linyuan Shen

“…In this study, we utilized Pandora-seq technology to detect the small non-coding RNAs (sncRNAs) expression profile in the testicular tissue of heat-stressed mice. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Drought variation was predominantly influenced by interannual oscillations, with the periods of the components of intrinsic mode functions 1 (IMF1) and 2 (IMF2) being 3.1 and 7.3 years, respectively. …”
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TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

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Advances in key technologies for the management, restoration, development, and utilization of coal mining subsidence areas by Zhuanghan MENG, Yutao WANG, Yanzhe TIAN

“…BackgroundCoal mining subsidence areas, formed by the exploitation of coal resources, have emerged as severe challenges to the construction of ecological civilization and the sustainable development of the social economy in China. …”
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Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT by Mohamed Riad Sebti, Zohra Dakhia, Sonia Carabetta, Rosa Di Sanzo, Mariateresa Russo, Massimo Merenda

“…This study introduces a groundbreaking method for early detection and management of OTA, leveraging environmental data such as temperature and humidity. …”
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Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…To address these challenges and to establish a connected network, there is always a need for a system to evaluate the contents of detected data values and dynamically switch sensor states based on their function. …”
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