A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment by Mohammed Achite, Manish Kumar, Nehal Elshaboury, Aman Srivastava, Ahmed Elbeltagi, Ali Salem

“…Abstract Evaporation represents a fundamental hydrological cycle process that demands dependable methods to quantify its fluctuation to ascertain sustainable agriculture, irrigation systems, and overall water resource management. …”
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Cardiac Niche Influences the Direct Reprogramming of Canine Fibroblasts into Cardiomyocyte-Like Cells by Giacomo Palazzolo, Mattia Quattrocelli, Jaan Toelen, Roberto Dominici, Luigi Anastasia, Guido Tettamenti, Inès Barthelemy, Stephane Blot, Rik Gijsbers, Marco Cassano, Maurilio Sampaolesi

“…Exogenous gene expression was obtained using four lentiviral vectors carrying transcription factor genes and different resistance genes. …”
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The detection of erosive changes in the joints of hands and feet in rheumatoid arthritis: a comparison of ultrasound and radiology methods by Olga G. Alekseeva, Alexander V. Smirnov, Svetlana I. Glukhova, Maria V. Severinova, Evgeny L. Nasonov, Alexander V. Volkov

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An Improved <i>Agrobacterium</i>-Mediated Transformation Method for an Important Fresh Fruit: Kiwifruit (<i>Actinidia deliciosa</i>) by Chun-Lan Piao, Mengdou Ding, Yongbin Gao, Tao Song, Ying Zhu, Min-Long Cui

“…Furthermore, over 71% of kanamycin-resistant plantlets exhibited robust <i>GFP</i> expression, and the entire transformation process was completed within four months of culture. …”
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A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study by Zongjie Wei, Xuesong Bai, Yingjie Xv, Shao-Hao Chen, Siwen Yin, Yang Li, Fajin Lv, Mingzhao Xiao, Yongpeng Xie

“…Five radiomics-based ML models, namely logistic regression (LR), support vector machine (SVM), k-nearest neighbors (KNN), eXtreme Gradient Boosting (XGBoost) and random forest (RF), were developed. …”
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Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment by Yihao Zhao BSc, Cuiyun Yuan MSc, Ying Liang PhD, Yang Li MSc, Chunxia Li MSc, Man Zhao MSc, Jun Hu PhD, Ningze Zhong Bsc, Wei Liu PhD, Chenbin Liu PhD

“…However, an effective QA process for these automatic contours remains an unmet need in clinical practice. …”
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Applications of mutagenesis methods on affinity maturation of antibodies in vitro by LIU Yuan, LIN Manman, ZHANG Xiao, XU Chongxin, JIAO Linxia, ZHONG Jianfeng, WU Aihua, LIU Xianjin

“…However, by mutator strains, mutations are also produced in the vector part to cause deleterious effects. In site-directed mutagenesis, selected residues are targeted to be mutated. …”
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Gene therapy in cardiomyopathies - Review of the latest reports by Magdalena Strzelczyk, Gabriela Pabis, Joanna Wziątek, Paula Bętkowska, Iwona Koziołek, Piotr Kowalik, Patrycja Fatyga, Wiktoria Fatyga, Daria Krzyżanowska, Kinga Dowierciał

“…Antisense therapy (ASO) uses antisense oligonucleotides to exclude a particular exon and causes the translation process to stop. Gene replacement involves introducing a healthy copy of a mutated gene into the genome along with an appropriate vector. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

“…In this study, the predictive accuracy of six different machine learning models, including Natural Gradient-based Boosting (NGBoost), Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Support vector regression (SVR), Gaussian Process Regression (GPR), and Extremely Randomized Tree (ERT) was evaluated for modelling the parameter of permeate flow as a key element in system efficiency, energy consumption, and water quality using six various input combinations of feed water salt concentration, condenser inlet temperature, feed flow rate, and evaporator inlet temperature. …”
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Cellular senescence promotes macrophage-to-myofibroblast transition in chronic ischemic renal disease by Yu Zhao, Xiang-Yang Zhu, Wenqi Ma, Ying Zhang, Fei Yuan, Seo Rin Kim, Hui Tang, Kyra Jordan, Amir Lerman, Tamara Tchkonia, James L. Kirkland, Lilach O. Lerman

“…Cellular senescence was induced in human renal proximal tubular epithelial cells (HRPTEpiC) in vitro, and interferon-induced transmembrane protein-3 (IFITM3), a cellular senescence vector, was silenced (siRNA) or over-expressed (plasmid). …”
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Design and Development of Information Content of an Open Online School for Foreign Citizens in Russian by N. I. Gorodetskaya, I. E. Belotserkovskaya, T. V. Tumanova, N. B. Sherbakova

“…The results of the design, development and testing of the functionality of the open online school “Russia. Vector of possibilities” are presented in the article. …”
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Mosquito prevention strategies can improve indoor heat stress in hot climates: a case of traditional Kenyan homes by Haiwei Li, Haimavati Raman, Bernard Abong’o, Teresa Bange, Yongling Zhao, Carol Brayne, Ronita Bardhan

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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…Such accurate instrumentation of transposon-associated piRNA tags can considerably involve the study of small ncRNAs and support the understanding of the gametogenesis process. First, a number of moments were adopted for the conversion of the primary sequences into feature vectors. …”
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Application of Spectral Phototherapy in the Treatment of Patients with Ronchopathy and Obstructive Sleep Apnea Syndrome: a Prospective Study by Bair A. Zhigzhitov, Larisa A. Marchenkova, Vladimir B. Knyazkov, Daria D. Lebedeva, Lev G. Agasarov

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Osteoplastic biomaterials from organic and mineral components of the bone matrix: a literature review by Pavel А. Markov, Petr S. Eremin, Elena S. Berezkina, Marina V. Volkova, Irina A. Usova, Ilmira R. Gilmutdinova

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Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study by Shu Wang, Shuang Wang, Rong Chen, Ling Luo, Qiaoli Zhang, Danli Kong, Rudai Cao, Chunwen Lin, Jialu Huang, Haibing Yu, Yuan Lin Ding

“…In the initial population, we excluded individuals with more than 20% missing data and eventually included 4106 subjects.Design K nearest neighbour algorithm and synthetic minority oversampling technique were used to process the data. Single factor analysis was used for preliminary selection of variables. …”
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Assessing veterinary professionals’ perspectives on community knowledge, attitudes, and practices regarding dog rabies in Turkana, Kenya by Moumita Das, Moumita Das, María Sol Pérez Aguirreburualde, Job Ronoh Kipkemoi, Erenius Lochede Nakadio, Andres M. Perez, Andres M. Perez, Melinda Wilkins

“…The main reservoir and vector for human transmission of the disease is domestic dogs. …”
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…Moreover, we used the SHAP model to interpret the results of the machine learning process. Finally, we examined the relationships between the differentially expressed genes and immune cells. …”
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Optimizing flood resilience in China’s mountainous areas: Design flood estimation using advanced machine learning techniques by Xuemei Wang, Ronghua Liu, Chaoxing Sun, Xiaoyan Zhai, Liuqian Ding, Xiao Liu, Xiaolei Zhang

“…Study region: China Study focus: We developed machine learning (ML) models for design flood estimation in mountainous catchments (≤ 500 km²) across China. This process considered different ML algorithms (random forest, extreme gradient boosting, and support vector regression), model scopes (nation and hydrological zones), and feature input sets (1–14 features) to optimize model development strategies. …”
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