Construction of an Ecological Security Structure in Fuzhou City of Jiangxi Provicne Based on an MCR Model by Chen Qun, Liu Pinghui, Zhu Chuanmin

“…A minimum cumulative resistance (MCR) model was constructed by selecting various land use factors, soil and water conservation function importance, and ecological sensitivity. …”
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Energy­Saving Lighting of Agricultural Premises and its Parameters Calculation by L. Yu. Yuferev

“…It has been noted that the LED light sources’ functioning has such features that make the application of standard calculation methods impossible. …”
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Pathogenicity and virulence of Aeromonas schubertii in farmed Asian seabass (Lates calcarifer) in Thailand by Clara Trullàs, Sirikorn Kitiyodom, Komkiew Pinpimai, Putita Chokmangmeepisarn, Manoj Tukaram Kamble, Channarong Rodkhum, Nopadon Pirarat

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Distribution of β-casein variants and effects on milk composition in Podolian cows reared in Gargano Promontory (Southern Italy) by Antonella Santillo, Francesca d'Angelo, Cristina Lamberti, Maria Gabriella Giuffrida, Francesco Romaniello, Marzia Albenzio

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The ‘crisis’ of fat body in the neoliberal era: the case of obesity in Turkey by Seda Keklik, Neriman Berna Güler

“…Qualitative data, systematically selected from academic and institutional sources, are used to examine the structural roots of obesity in capitalist social relations, focusing on how individuals function as both labour and consumers. …”
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Oil, Metal, and Agricultural Raw Material Prices in Global Markets and the Iranian Economy by simin akbari, Seyed aziz Arman, Abdolmajid Ahangari

“…Moreover, since oil revenues are higher than other revenue sources, the inflationary effects of oil could be stronger. …”
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Battery Energy Storage System Placement And Sizing In Distribution Networks by Sorokin Dmitry

“…The methodology is applicable to BESS which implement the functions of ensuring the reliability of power supply to consumers (use of BESS as a backup or emergency source of power supply), as well as the function of regulating voltage levels in the electrical network (regulating reactive power by the BESS inverter).…”
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Evaluation of Self-Regulating Doped Ferrite Nanoparticles with Glucose, Chitosan, and Poly-Ethylene Glycol Coatings for Hyperthermia and Dual Imaging by Negri A, Conti A, Milan E, Forlin E, Gherlinzoni F, Morana G, Gottardi M, Matteazzi P, Speghini A, Bongers A, Marzola P

“…Following intravenous administration, MRI and MPI functionalities were analyzed through phantom studies and in vivo murine models.Results: Coated M55 NPs displayed high colloidal stability in water and effective functionalization. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Of all the images obtained, 70%, 20%, and 10% were randomly selected for the network's training, validation, and testing, respectively. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

“…Point-of-care ultrasound and portable diagnostic devices have expanded real-time imaging and functional assessment capabilities across diverse clinical settings. …”
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Immunoexpression of tumor suppressor genes p53, p21WAF1/CIP1 and p27KIP1 in humam astrocystic tumors Imuno-expressão dos genes supressores tumorais p53, p21WAF1/CIP1 e p27KIP1 em t... by Mário Henrique Girão Faria, Régia Maria do Socorro Vidal do Patrocínio, Manoel Odorico de Moraes Filho, Silvia Helena Barem Rabenhorst

“…These results indicated the p53 mutation as an initial, relevant and potentially predictor of tumor progression event in astrocytomas, with the detection of p21 protein as an important resource for the deduction of functional situation of this gene. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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The Bio-Uptaking and Fermenting Characteristics of Various Lignocellulose-Digested Mono- and Oligo-Saccharides by <i>Bacillus subtilis</i> by Liang Wu, Yong Xu

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Unraveling the microbiome–aroma Nexus: a metagenomic and volatile compound analysis of Yunnan cigars by Jing Pan, Ming-Da Huang, Jin Wang, Jian-Xiong Zhao, Bin Yang, Hong-Hui Yang, Jin-Sheng Huang, Yu-Long Su, Xue-Ru Song, Wei-Guang Wang, Ling-Duo Bu

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De novo transcriptome assembly of the Mediterranean sea-rock pool mosquitoes Aedes mariae and Aedes zammitii by Valentina Mastrantonio, Daniele Porretta, Franco Liberati, Roberta Bisconti, Tiziana Castrignanò, Daniele Canestrelli

“…Validation by BUSCO confirmed the high quality of our resources. Homology alignments of predicted ORFs showed that 21,842 sequences from Ae. mariae and 21,944 sequences from Ae. zammitii mapped to the Nr, SwissProt, and TrEMBL databases, while 19,208 and 19,393 predicted ORFs, respectively, were functionally annotated using the COG and KEGG databases. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Moreover, integrating machine learning into risk management enhances decision-making by providing precise, data-driven predictions, allowing for more effective strategies and efficient resource allocation.Future research could incorporate additional data, such as historical records, economic indicators, and internal process information, to further improve prediction accuracy. …”
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Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China by Wan Zhou, Dedi Liu, Yufei Cheng, Junde Wang

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Protective effects of Maillard products of skipjack trypsin hydrolysate on uric acid-induced injury of human kidney-2 cell (HK-2) by Yurou Chu, Jiaxing Wang, Jipeng Sun, Ru Song, Liang Chen, Xiaoyu Zou

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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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