A non-electrical pneumatic hybrid oscillator for high-frequency multimodal robotic locomotion by Genliang Chen, Yongzhou Long, Siyue Yao, Shujie Tang, Junjie Luo, Hao Wang, Zhuang Zhang, Hanqing Jiang

“…Leveraging the characteristic capabilities of the oscillator, three distinct robots are developed, including a bionic jumping robot with high motion speed, a crawling robot with a pre-programmed logic gait, and a swimming robot with adjustable motion patterns. …”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…We construct an FPGA + CPU heterogeneous detection system featuring a five-tuple segmented matching architecture, which integrates hash bitmap and shift-or algorithms to achieve fast-pattern matching. …”
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Morphological markers of secretory activity in prostatic adenocarcinoma by Janković-Veličković Ljubinka, Katić Vuka, Ignjatović Ivan

“…The vast majority of prostatic tumors developing in adult males are adenocarcinomas (ACP). …”
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Early Hippocampal Synaptic Loss Precedes Neuronal Loss and Associates with Early Behavioural Deficits in Three Distinct Strains of Prion Disease. by Kathryn J Hilton, Colm Cunningham, Richard A Reynolds, V Hugh Perry

“…There are several different strains of prion disease defined by different patterns of tissue vacuolation in the brain and disease time course, but features of neurodegeneration in these strains have not been extensively studied. …”
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Coaches' insights: Determinants of athlete success, physical demands and training approaches in single-handed Olympic-class dinghy sailing. by Chelsie E Winchcombe, Paul S R Goods, Martyn J Binnie, Peter Peeling

“…Finally, in the topic area of training practices and philosophies there were two general dimensions: i) periodisation, and ii) specific training. Overall, hiking featured across all three topic areas, highlighting its importance in ILCA sailing. …”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

“…These methods typically use ML algorithms to identify patterns within features extracted from data representing structural conditions, thereby inferring damage from changes in these patterns. …”
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A Data Model and Method Framework for Cyberspace Map Visualization by Zheng Zhang, Chenghu Zhou, Minjie Chen, Yibing Cao, Shaojing Fan

“…Using the Routers, BrightKite, and Cables datasets, we developed a web-based CMV system and generated a statistical map, a node-link map, an edge bundling map, a flow map, and a feature distribution map. …”
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Trajectory Prediction and Intention Recognition Based on CNN-GRU by Jinghao Du, Dongdong Lu, Fei Li, Ke Liu, Xiaolan Qiu

“…Accurate trajectory prediction and intention recognition are essential for effective decision-making, as different intents manifest in distinct trajectory patterns. This study focuses on trajectory prediction and intention recognition for airborne moving targets by proposing an integrated approach that leverages trajectory data for both tasks. …”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…The increasing complexity of malware poses significant challenges in cybersecurity due to the inability of existing methods to understand detailed and contextual relationships in modern software behavior. Therefore, developing innovative detection frameworks that can effectively analyze and interpret these complex patterns has become critical. …”
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…Furthermore, the ResNet50 model is employed for feature extraction to capture complex spatial patterns in visual data. …”
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Regulatory signatures involved in the cell cycle pathway contribute to egg production heterosis in chicken by Jingwei Yuan, Yuanmei Wang, Yanyan Sun, Yunlei Li, Aixin Ni, Qin Li, Hanhan Yang, Xinying Xu, Yunhe Zong, Hui Ma, Jilan Chen

“…Then, we identified consensus co-expression modules (CMs) that showed divergent expression pattern among crossbred (WY or YW) and purebreds (WW and YY). …”
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Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning by Swetha Valavarasu, Yasaswini Sangu, Tanmaya Mahapatra

“…Abstract Antimicrobial resistance is a growing global health threat, and artificial intelligence offers a promising avenue for developing advanced tools to address this challenge. …”
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lexible sensors for food monitoring. Part II: Applications by D. Luo, M. A. Nikitina, X. Xiao

“…This article attempts to critically review the present state-of-arts developments in relation to the materials, manufacturing techniques and sensing mechanisms of the devices, as well as the applications of the electrically-transduced flexible sensors. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…To tackle data heterogeneity, we developed a multimodal feature fusion strategy that effectively integrates battery sensor data from different sources and formats, including time-series charge-discharge sensor data and spectral impedance sensor measurements. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. The pattern and confusion produced during the methodology procedure safeguards the data more effectively as shown in the cipher text generated.…”
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Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors by Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang

“…Through meticulous finite element analysis optimization, the Hall effect‐based auxetic tactile sensor (HEATS), featuring a rotating square plate configuration as the most effective auxetic pattern to enhance sensitivity, is developed. …”
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Effects of weed interference, sowing date and method on growth, yield and yield components of Red Bean (Phaseolus vulgaris L.) by mohsen edalat, Maryam Kamali, Seyed Abdolreza Kazemeini, Bahram Heidari

“…Introduction Red beans (Phaseolus vulgaris L.) with 22-25 % protein and 50-60 % carbohydrates are one of the most important legumes in the world, particularly in some developing countries. It is one of the major sources of vegetable protein. …”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…To address this, five regression models were developed to predict VF measures from OCT, Shapley Additive exPlanations (SHAP) analysis was performed for interpretability, and a clinical software tool called OCT to VF Predictor was developed. …”
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Systemic Hemodynamic Changes after Maximally Allowable Liver Resection in Rats by P. A. Ermolaev, T. P. Kramykh, L. O. Barskaya

“…The critical time found by the authors for the minimum cardiac output was an hour after surgery. The distinctive features of low cardiac output syndrome after maximally allowable liver resection are its reversible pattern and reflectory bradycardia on postoperative day 1. …”
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