Isolation and identification of a matrine-producing fungal strain from petroleum-contaminated soil by Mao Dongxia, Guo Dandan, Wu Lingling, Tian Xiaoxue, Zhang Shengxiang, Liu Tao, Ma Xiaokui

“…The raw material of obtaining matrine is mainly the traditional Chinese medicine sophora. But the extraction method of matrine from plants often has its drawbacks, such as the cumbersome extracting steps, the high extraction temperature, the complex operation process, and using plenty of organic solutions. …”
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Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients by Xiaoyan Yin, Yongbin Cui, Tonghai Liu, Zhenjiang Li, Huiling Liu, Xingmin Ma, Xue Sha, Changsheng Ma, Dali Han, Yong Yin

“…Results: Total of 944 radiomics features were extracted from the pre-treatment contrasted enhanced CT images (CECT). …”
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Identification of pyrimidine metabolism-based molecular subtypes and prognostic signature to predict immune landscape and guide clinical treatment in prostate cancer by Yu-Zhong Yu, Xiao Xie, Mao-Ping Cai, Ya-Ying Hong, Yang-Zi Ren, Xi Kang, Hai-Chen Yan, Yang Xiong, Hong Chen, Xing-Cheng Wu, Dao-Sheng Luo, Shan-Chao Zhao

“…The PMGs is associated with the clinical prognosis of several cancers, but its biological role in PCa is still unclear.Methods This study extracted 98 reliable PMGs, and analyzed their somatic mutations, expression levels, and prognostic significance. …”
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Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound by Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan

“…A total of 101 patients with moderate/large PCE and 104 controls without PCE were included, and the images were extracted from the ultrasound (US) clips. We applied preprocessing techniques, including standardized image sizes and background removal, to reduce interference, and post-processing techniques, including adding filters to refine small effusion regions. …”
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EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification by Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, Ali Abu Bakar Mahmood, Quratul Ain, Naveed Ishtiaq Chaudhary, Abdullah Alshehri, Sultan S. Alshamrani, Muhammad Asif Zahoor Raja

“…Moreover, to further prove the efficiency, generalization ability, robustness, scalability and adaptability of this research, the architecture of proposed EA-CNN model is validated on another real-world dataset named as ‘Fruit Recognition’. …”
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A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis by Jia Sun, Jia Sun, Lixin Zhang, Zhaotang Gong, Hongling Ma, Dan Wu, Rihan Wu, Guleng Siri, Guleng Siri

“…This study aimed to develop a practical machine learning (ML) model for the prediction of the risk of SIC in critically ill patients with sepsis.MethodsIn this retrospective cohort study, patients were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and the Inner Mongolia Autonomous Region People’s Hospital database. …”
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Expression and diagnostic value evaluation of urinary exosomal miR-142-3p in diabetic nephropathy by Shengjie Li, Chuancai Sun, Shanshan Zheng, Sen Lin, Hao Li, Jing Wu, Yangyang Tian, Xinyuan Gao, Fang Qin, Yipeng Liu

“…Urinary exosomes were extracted using ultracentrifugation, and qRT-PCR was used to detect changes in urinary exosomal miRNA expression between the two groups of patients. …”
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Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics by Tie Deng, Junbang Feng, Xingyan Le, Yuwei Xia, Feng Shi, Fei Yu, Yiqiang Zhan, Xinghua Liu, Chuanming Li

“…PC and BP were automatically recognized, segmented using VB-net and radiomics features were automatically extracted. Four machine learning algorithms including Decision Trees, Logistic Regression, Random Forests and Support Vector Machines(SVM) were using to built the models. …”
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Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability by Siddhartha Bhattacharya, Siddhartha Bhattacharya, Aarham Wasit, Aarham Wasit, J Mason Earles, J Mason Earles, Nitin Nitin, Nitin Nitin, Jiyoon Yi

“…EfficientNetV2 backbone provided fine-grained feature extraction suitable for small targets, with few-shot learning enhancing scalability in data-limited domains. …”
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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

“…First, acoustic features were extracted from all participants, and optimal features were selected by least absolute shrinkage and selection operator (LASSO) regression. …”
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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

“…We further confirm its ability to robustly characterize disease and dose-dependent drug response. …”
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Hydrogen and hydrogen sulphide in volcanic gases: abundance, processes, and atmospheric fluxes by Aiuppa, Alessandro, Moussallam, Yves

“…Hydrogen (H$_{2}$) and hydrogen sulphide (H$_{2}$S) are typically present at only minor to trace levels in volcanic gas emissions, and yet they occupy a key role in volcanic degassing research in view of the control they exert on volcanic gas reducing capacity (e.g., their ability to remove atmospheric O$_{2}$). In combination with other major compounds, H$_{2}$ and H$_{2}$S are also key to extracting information on source magma conditions (temperature and redox) from observed magmatic gas compositions. …”
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Cellulose nanomaterials in oil and gas industry and bio-manufacture: Current situation and future outlook by Qasim Allawi Bader, Zainab T. Al-Sharify, Jameel M. Dhabab, Haider Kamil Zaidan, Ahmed Mahdi Rheima, Duaa Mohammed Athair, Tomy Muringayil Joseph, Ehsan kianfar

“…Nanomaterials' primary characteristics are defined by their surface functionalization, extraction source, and extraction processes. In this article, we will examine their present production rates and their applications in several areas, including as healthcare, sustainable construction materials, and energy storage and generation. …”
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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…We sought to understand the current landscape of approaches for handling issues, such as noise, missing values, normalization or standardization, and transformation, as well as techniques for extracting meaningful features from raw sensor outputs and converting them into usable formats for subsequent AI/ML analysis. …”
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A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer by Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, Jianpeng Lin, Shuyan Li, Zhongxiao Wang, Zhendong Cao, Dong Wen, Tiange Liu, Hafiz Rashidi Harun Ramli, Hazreen Haizi Harith, Wan Zuha Wan Hasan, Xianling Dong

“…Radiomics features were extracted according to IBSI standards, and deep learning features were obtained using a 3D DenseNet-121 model. …”
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Effects of Artemisia argyi on the antioxidant activity, laying performance and egg quality in laying hens under heat stress by XU Hongrui, CHEN Xiaolian, SHI Jianqing, SONG Qiongli

“…The antioxidant ingredient and scavenging rates of A. argyi extracts for hydroxide radical, superoxide anion radical and DPPH radical were determined. …”
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Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis by Chi-Sheng Chen, Shao-Hsuan Chang, Che-Wei Liu, Tung-Ming Pan

“…Our proposed 2-stage NECOMIMI architecture effectively extracted semantic information from noisy EEG signals, showing its ability to capture and represent underlying concepts derived from brain wave activity. …”
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P-92 CAN HONEY AND APICULTURAL DERIVATIVES HELP IN FATTY LIVER DISEASE? by Liena Martina Bravo Urquiza, Marcelo Andia Kohnenkampf, Raquel Bridi, Juan Esteban Oyarzun Isamitt

“…The hepatoprotective effect was evaluated by inducing cellular damage with AAPH (0.2 mM for 24 hours), followed by the addition of phenolic extracts from honeys or bee pollens at various concentrations. …”
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The Analysis and the Optimizat ion of an Auto nomous Mobile Plat form Equipped with a Manipulator Arm for Sample Retrieval in Rough Terrain by A.M. Țîțu, D. Bâlc, M. Nabiałek, M.L. Rozemarie, E. Bâlc

“…But perhaps one of the most revolutionary aspects of this platform is its ability to stream live video feeds to its operators. …”
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The obstetrics comorbidity index as a predictive tool for risk-appropriate maternal care by Allison R. McCarter, Regan N. Theiler, Megan E. Branda, Rebecca M. Smith, Emily E. Sharpe, Vanessa E. Torbenson

“…SMM was determined via ICD-10 and CPT code extraction from time of transfer through six weeks postpartum and confirmed by the same reviewer. …”
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