Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo by Abigail S. McGovern, Pia Larsson, Volga Tarlac, Natasha Setiabakti, Leila Shabani Mashcool, Justin R. Hamilton, Niklas Boknäs, Juan Nunez-Iglesias

“…Our pipeline covers four steps: detection, tracking, estimation of tracking accuracy, and quantification of platelet metrics. …”
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Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials by Guanghui Zhang, Xueyan Li, Fengyu Cong

“…To further investigate the related neuronal processes, a novel approach was proposed including three steps: (1) extract the temporal and spatial components of interest simultaneously by temporal principal component analysis (PCA) and Promax rotation and project them to the electrode fields for correcting their variance and polarity indeterminacies, (2) calculate the time-frequency representations (TFRs) of the back-projected components, and (3) compute the regions of evoked EROs of interest on TFRs objectively using the edge detection algorithm. We performed this novel approach, conventional TFA, and TFA-PCA to analyse both the synthetic datasets with different levels of SNR and an actual ERP dataset in a two-factor paradigm of waiting time (short/long) and feedback (loss/gain) separately. …”
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Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

“…In the second stage, as the SampEn has advantage in analyzing the EEG signal, we use the approximation coefficient to compute the SampEn values. Finally, we detect the PD patients using three-way decision based on optimal center constructive covering algorithm (O_CCA) with the accuracy about 92.86%. …”
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Limbal stem cell deficiency diagnostics by B.E. Malyugin, S.A. Borzenok, S.Yu. Kalinnikova, M.Yu. Gerasimov

“…One of the important problems is the lack of a clear diagnostic algorithm and a standardized set of diagnostic techniques for this condition. …”
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Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology by Chen Bin, Lei Dong, Huang Liangjun, Liu Qingdong, Zhao Xuan, Shi Yuanping

“…Combining the deep learning model with the multi model hierarchical classification algorithm, the remote sensing prediction map based on deep learning is used as the classification base map, and the normalized difference vegetation index threshold is used to classify the uncovered area. …”
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An Integrated Mycobacterial CT Imaging Dataset with Multispecies Information by Zhilin Han, Yuyang Zhang, Wenlong Ding, Xiaoting Zhao, Bingzhen Jia, Tingting Liu, Liang Wan, Zhiheng Xing

“…This resource aims to catalyze AI algorithm development for differential diagnosis, ultimately enhancing precision in NTM management through advanced machine learning applications.…”
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THE THYMIDINE KINASE-1(TK-1) AS A POTENTIAL TUMOR MARKER: SERUM LEVELS IN SERUM OF PATIENTS WITH SOLID AND SYSTEM MALIGNANCE NEOPLASMS by N. S. Sergeeva, N. K. Parilova, N. V. Marshutina, N. G. Tyurina, A. G. Mustafin

“…When solid MN shown that the activity of TK-1 accurately reflects the proliferative status of tumor.A comparison of the dynamics of TC-1 in the process of chemotherapy and its clinical efficacy, different authors have received fundamentally different results: in some cases the marker reduction was associated with treatment efficacy, and in part of publications they show that the clinically relevant effects of the treatment observed increase in the marker after the first chemotherapy.The entire set of received data demonstrates the relevance of the further development of the algorithm use of TK-1 in oncology practice.…”
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Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau by Guang Pu, Lingyu Han, Liangliang Chen, Dan Wan, Hongfen Teng

“…While numerous studies have analyzed vegetation changes on the Tibetan Plateau from 1982 to 2015 using remote sensing data, most have been limited by insufficient temporal coverage and low-resolution datasets, constraining the accuracy of trend detection and driver analysis. To address this gap, we utilize a high-resolution Normalized Difference Vegetation Index (NDVI) dataset, generated by merging GIMMS and SPOT data via the Extended Observation Time (EOT) algorithm, to investigate vegetation trends, breakpoints, and their climatic drivers over 34 years, with a specific focus on elevation effects. …”
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Changes in objective characteristics in brain electrical activity in newborns as a function of birth weight by Anastasiya E. Runnova, Yuliya A. Zhuravleva, Evgeniy N. Egorov, Evgeniya E. Drozhdeva

“…Monitoring of EEG signals according to the proposed algorithm may become the basis for the development of additional tools for early detection of possible disorders of neurological development of the newborn.…”
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A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection by Rui Chen, Huigang Wang, Haoji Wang, Huijiang Wang, Li Bai, Xinpei Ai, Lifu Liu, Zhihao Hu, Zean Yuan

“…However, achieving inner‐pipe detection for pipeline‐climbing robots challenges the integration of sensors without compromising the robot's flexibility and operational functionalities. …”
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Two-Dimensional Correlation Infrared Spectroscopy for Rapid Analysis of the Effect of pH on the Secondary Structure Content of Soybean Protein Isolate by LIU Chang, WU Dandan, WANG Ning, WANG Ruiying, WANG Liqi, LIU Feng, YU Dianyu

“…The results of this study provide a theoretical basis for product quality detection and processing condition control in industrial settings.…”
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IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition by Mashael Maashi, Huda G. Iskandar, Mohammed Rizwanullah

“…Finally, the attraction-repulsion optimization algorithm (AROA) adjusts the hyperparameter values of the CNN-BiGRU-A method optimally, resulting in more excellent classification performance. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…The approach integrates advanced technologies including UM-MIMO, cognitive radio, and Artificial Intelligence (AI)-based detection to enhance robustness against adversarial attacks. …”
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. …”
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Development and validation of a machine learning model for prediction of cephalic dystocia by Yumei Huang, Xuerong Ran, Xueyan Wang, Defang Wu, Zheng Yao, Jinguo Zhai

“…Abstract Background Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. …”
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Aspect-Based Sentiment Analysis on User Perceptions of OVO using Latent Dirichlet Allocation and Support Vector Machine by Eka Fahira Aprilia, Amalia Anjani Arifiyanti, Nambi Sembilu

“…A classification model was then developed using the Support Vector Machine (SVM) algorithm across six testing scenarios. The best-performing model, using a Linear kernel without ML-SMOTE, achieved a macro-average precision of 0.843, recall of 0.786, and F1-Score of 0.804. …”
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An Active RIS-Aided DFRC System for Improved Multi-User Communications by Ravi Patel, Aayush Singh, Keshav Singh, Shahid Mumtaz, Chih-Peng Li, Sudip Biswas

“…We develop a optimization algorithm that leverages weighted minimum mean square error (WMMSE) and fractional programming techniques to maximize the weighted sum rate (WSR) for communication users while ensuring robust radar detection performance. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…Traditional methods fail to detect low-observable (LO) UASs effectively, thus presenting considerable threats in defense and civil sectors. …”
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Combining Higher-Order Statistics and Array Techniques to Pick Low-Energy P-Seismic Arrivals by Giovanni Messuti, Mauro Palo, Silvia Scarpetta, Ferdinando Napolitano, Francesco Scotto di Uccio, Paolo Capuano, Ortensia Amoroso

“…We propose the HOSA algorithm to pick P-wave arrival times on seismic arrays. …”
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Changing “portrait” of patients with newly diagnosed idiopathic pulmonary hypertension over the past two decades by A. M. Shariya, T. V. Martynyuk

“…The diagnosis was established according to the algorithm of the Eurasian (2019) and Russian guidelines for the diagnosis and treatment of pulmonary hypertension (PH) (2020).   …”
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