RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

“…Unlike existing methods that rely on post-processing, RivAIr is purpose-built for real-time field deployment in data-scarce or emergency scenarios.RivAIr integrates YOLOv8 with an optimized Farneback dense optical flow algorithm focused on water bodies, improving motion estimation accuracy while reducing runtime for real-time UAV processing. …”
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A novel pulse-current waveform circuit for low-energy consumption and low-noise transcranial magnetic stimulation by Xinhua Tan, Ao Guo, Jiasheng Tian, Yingwei Li, Yingwei Li, Jian Shi

“…The duration and slope of the rising and falling segments of the current waveform were adjusted by the PWM pulse duration.ResultsThe optimized current waveform, represented by three segmented functions, reduces heat loss and noise while inducing a greater change in neural membrane potential compared with those obtained with conventional symmetric waveforms. …”
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USP5 Promotes Head and Neck Squamous Cell Carcinoma Progression via mTOR Signaling Pathway by Ni Xiong, Yue Wang, Junhong Jiang

“…ABSTRACT Background Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy characterized by limited prognostic markers and treatment options, contributing to high mortality rates. While Ubiquitin‐specific peptidase 5 (USP5) has been implicated in various cancers, its role in HNSCC remains poorly understood. …”
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The Hemodynamic Effect of Enhanced External Counterpulsation Treatment on Atherosclerotic Plaque in the Carotid Artery: A Framework of Patient-Specific Computational Fluid Dynamics... by Jianhang Du, Guangyao Wu, Bokai Wu, Chang Liu, Zhouming Mai, Yumeng Liu, Yawei Wang, Pandeng Zhang, Guifu Wu, Jia Liu

“…Mean AWSS level throughout the model increased by 16.9%, while OSI level did not show a significant change during EECP. …”
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Otitis externa in dogs (prevalence, etiology, clinical course, and treatment regimens) by D. L. Datsiuk, V. M. Hunchak, B. V. Gutyj, I. I. Khariv, R. O. Vasiv, V. P. Martynyshyn

“…Clinically, otitis externa in dogs, as a rule, is manifested by characteristic symptoms, while the existing peculiarities of the course are, in most cases, determined by etiological factors. …”
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Retinal Microvascular Characteristics—Novel Risk Stratification in Cardiovascular Diseases by Alexandra Cristina Rusu, Klara Brînzaniuc, Grigore Tinica, Clément Germanese, Simona Irina Damian, Sofia Mihaela David, Raluca Ozana Chistol

“…<b>Results:</b> Conventional multiple logistic regression had a classification accuracy of 78.7% based on traditional risk factors and retinal microvascular features, while machine learning algorithms had higher accuracies: 81% for K-NN and supervised logistic regression, 85.71% for Naive Bayes and 86% for SVM. …”
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Planar Inverse Statics and Path Planning for a Tendon-Driven Discrete Continuum Robot by Yeoun-Jae Kim, Daehan Wi

“…Furthermore, we propose a planar path planning algorithm and numerically evaluate it for a three-unit robot following an arc-shaped trajectory. …”
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A Centralized Multi-Agent DRL-Based Trajectory Control Strategy for Unmanned Aerial Vehicle-Enabled Wireless Communications by Getaneh Berie Tarekegn, Rong-Terng Juang, Belayneh Abebe Tesfaw, Hsin-Piao Lin, Huan-Chia Hsu, Robel Berie Tarekegn, Li-Chia Tai

“…The proposed MATC strategy achieves 97.41&#x0025; communication coverage while maintaining satisfactory system throughput performance. …”
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Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin by Wen Sun, Yejin Li, Fenghong Li, Guangsen Liu, Peng Rao

“…Static cloud-sea scenes are generated using Qilu-2 and New Technology satellite images, while dynamic scenarios are simulated with our iterative fractal dimension optimization algorithm. …”
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Multi-Omics Profiling Reveals Glycerolipid Metabolism-Associated Molecular Subtypes and Identifies ALDH2 as a Prognostic Biomarker in Pancreatic Cancer by Jifeng Liu, Shurong Ma, Dawei Deng, Yao Yang, Junchen Li, Yunshu Zhang, Peiyuan Yin, Dong Shang

“…To prioritize prognostically relevant GMRGs in PC, we employed a random forest (RF) algorithm to rank their importance across 930 PC samples. …”
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Tackling the Optimal Phasor Measurement Unit Placement and Attack Detection Problems in Smart Grids by Incorporating Machine Learning by Ramzi Al-Sharawi, Abdelfatah Ali, Mostafa Shaaban, Nasser Qaddoumi, Mohamed S. Abdalzaher

“…The proposed approach optimizes PMU allocation to maximize topological observability and minimize system cost while improving the FDIA detection performance using machine learning. …”
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Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

“…Among them, BMI and LE8 have a negative predictive effect on female infertility in the model, while Cd has a positive contribution to the prediction of female infertility. …”
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Adaptive optimization decision system for plate-fin heat Exchangers: An integrated approach to enhancing efficiency and performance by Na Sun, Shuai Zhang, Nan Li, Zijian Li, Meng He, Zhengchun Shen, Ke Wang, Xiaoyong Guo, Wen-Quan Tao

“…MIGWO outperformed previous studies in accuracy and efficiency, while NRBO achieved nearly equivalent results. Total Annual Cost was reduced by 86.36 % (NRBO) and 86.86 % (MIGWO), and heat exchanger area by 25.58 % (NRBO) and 26.28 % (MIGWO). …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…The proposed ECG segmentation algorithm introduces a distinct and original approach compared to prior research by integrating adaptive preprocessing, histogram-based lead separation, and robust point-tracking techniques into a unified framework. …”
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Aggregation and the economy prototyping of municipality in the conditions of lability and robust changes by O. O. Komarevtseva

“…As part of the stated goal, the author is  supposed to conduct the economy prototyping of the municipality  based on built-in management platforms; to form an adapted risk  assessment model in the implementation of smart-project; to  propose an aggregated model for assessing the development of the economy.Materials and methods. While writing a scientific article, the methods of situational and simulation modeling, approximation and grouping of specific elements of the structural  object, and the process of algorithmization of functional processes  are used. …”
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Deep learning based automation of mean linear intercept quantification in COPD research by Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, Daniela Wenzel, Robert H. Schmitt, Robert H. Schmitt

“…We develop and evaluate our image processing pipeline on stained histological microscope images that stem from a study including two groups of C57BL/6 mice where one group was exposed to cigarette smoke while the control group was not. The results indicate that the AIxCell segmentation algorithm achieves excellent performance, with IoU scores consistently exceeding 90%. …”
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Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar by Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi

“…The developed models were validated by means of error metrics, residual assessment, and external validation checks which revealed that XGB is the most accurate algorithm having testing $$\:{\text{R}}^{2}$$ of 0.998 followed by BR having $$\:{\text{R}}^{2}$$ values equal to 0.946 while MEP had the lowest testing $$\:{\text{R}}^{2}$$ of 0.893. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…Statistical tests, random forest algorithm, and generalized linear model were used to explain the sett selection criteria of Asian badgers. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The objective of this study was to develop regression models for litchi inflorescence development duration and flowering duration using machine learning algorithms including RF and STR and to analyze and assess the importance and relevance of selected features on the flowering duration according to RF algorithm in order to provide a theoretical basis for the prediction of litchi flowering period and realizing precise regulation. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Moreover, recent studies have focused on improving prediction performance using complex feature extraction and machine learning algorithms while ignoring comprehensive EEG channels and feature investigation in the prediction of finger movements from EEGs. …”
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