Vibration mitigation in interlocking metasurfaces by O. Bolmin, P.J. Noell, N. Leathe, B.L. Boyce

“…Interlocking metasurfaces (ILMs) are a new class of mechanical metamaterials with patterned surface features that enable joining of two adjacent bodies, serving as an alternative to welds, fasteners, or adhesives. …”
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Machine Learning Approach for Arabic Handwritten Recognition by A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri

“…Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition. …”
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Constrictive Pericarditis in a Hemodialysis Patient Who Presented with Rapidly Progressive Pericardial Calcification: A Diagnostic Challenge – A Case Report by Oho Tsunematsu, Shin-ichi Takeda, Mitsutaka Yamaguchi, Miwa Kaneko, Kazuho Oe, Yoshiaki Murakami, Daisuke Nagata

“…Cardiac catheterization subsequently revealed a dip-and-plateau pattern of right ventricular pressure, which led to a definitive diagnosis of CP. …”
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Graines d'histoire by Claire Newton, Jean-Frédéric Terral, Sarah Ivorra, Muriel Gros-Balthazard, Claire Tito de Morais, Sandrine Picq, Margareta Tengberg, Jean-Christophe Pintaud

“…We could also characterize ancestral seed shape features present in uncultivated populations. Within Phoenix dactylifera, the agrobiodiversity appears complex in terms of geographical structure; the distribution pattern of seed shapes points to human dispersal routes that spread cultivation from one or more initial ‘domestication centres’.In addition, this work provides a powerful tool to identify ancient forms as demonstrated by the analysis of well-preserved desiccated seeds from Egyptian archaeological sites (14th c. …”
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Integrative analysis of RNA-Seq data and machine learning approaches to identify Biomarkers for Rhizoctonia solani resistance in sugar beet by Bahman Panahi, Mahdi Hassani, Nahid Hosseinzaeh Gharajeh

“…We ranked differentially expressed genes (DEGs) using feature-weighting algorithms, such as Relief and kernel-based methods, to model expression patterns between sensitive and tolerant cultivars. …”
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Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…The novelty of this work resides in the developed network architecture. In comparison to previous research, this work presents a deep binarized neural network featuring two hidden layers, each containing 256 units to effectively capture the spike characteristics of complex neural data. …”
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Behavior Coding of Adolescent and Therapy Dog Interactions During a Social Stress Task by Seana Dowling-Guyer, Katie Dabney, Elizabeth A. R. Robertson, Megan K. Mueller

“…Future research should focus on identifying specific patterns of interactive behaviors between dogs and humans that predict anxiolytic outcomes.…”
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Design Guidelines for Material Extrusion of Metals (MEX/M) by Karim Asami, Mehar Prakash Reddy Medapati, Titus Rakow, Tim Röver, Claus Emmelmann

“…Geometric accuracy was quantitatively assessed through a 3D scan by comparing the manufactured parts to their original CAD models, allowing the identification of deformation patterns and shrinkage rates. Finally, the practical utility of the developed guidelines was demonstrated by successfully manufacturing an impeller designed according to the established geometric constraints. …”
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Methanol crossover and selectivity of nafion/heteropolyacid/montmorillonite nanocomposite proton exchange membranes for DMFC applications by M. Azimi, S.J. Peighambardoust

“…Methanol crossover through polymer electrolyte membranes is a critical issue and causes an important reduction of performance in DMFCs. The developed intercalated nafion/CsPW/MMT nanocomposite membranes have successfully improved the membrane barrier properties due to the unique feature of MMT which contributed to the formation of a longer pathway towards methanol across the membrane. …”
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Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

“…A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. …”
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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

“…Firstly, a GCN-based method is presented to learn the potential patterns between commitments and graph data associated with bus feature and power grid topology. …”
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Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models by Lina Yang, Shixia Zhang, Xinguo Wang, Jianjun Yang, Mengya Chen

“…This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital electronic medical record data. …”
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NPP estimation by fusing geodetector and deep spatio-temporal networks by Xiaohui He, Chenqiao Yuan, Panle Li, Xijie Cheng, Mengjia Qiao, Xiaoyu He, Nan Yang, Guangsheng Zhou, Jiandong Shang

“…Specially, the IGDSNet uses the geodetector to explore geographic mechanism of NPP and then introduces the spatio-temporal long- and short-term memory networks (ST-LSTM) to obtain the deep spatio-temporal feature of NPP. Finally, we develop a novel decoder by combining self-attention unit (SAU) and 3D convolution (Conv3D) to produce the spatio-temporal distribution of NPP. …”
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Tricho-Vision: The use of computer vision in trichotaxonomy for enhancing wildlife conservation of priority species by Alloy Das, Priyanka Banerjee, Sanket Biswas, Manokaran Kamalakannan, Joydev Chattopadhyay, Dhriti Banerjee, Tanoy Mukherjee

“…The methodology integrates automated feature extraction of cuticle patterns and medulla structures, enabling high-precision species differentiation. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…This paper presents an intelligent security defense framework that integrates intrusion detection, risk scoring, and response mechanisms to enhance the security and responsiveness of the T2G communication system. First, feature selection is performed on the TON_IoT dataset to develop a Dream Optimization Algorithm (DOA)-optimized backpropagation neural network (DOA-BPNN) model for efficient anomaly detection. …”
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Dopa-sensitive progressive dystonia of childhood with diurnal fluctuations of symptoms: a case report by José Luiz Dias Gherpelli, Lídia Mayumi Nagae, Aron Diament

“…We present the case of a 11 years old female patient that developed a dystonic posture in her feet that led her to a tip-toe walking pattern, since the age of 2. …”
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Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

“…A preprocessing protocol addressing multidimensional noise in raw VMS datasets was developed, incorporating velocity normalization and gap filling to ensure data reliability. …”
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ICT-Net: A Framework for Multi-Domain Cross-View Geo-Localization with Multi-Source Remote Sensing Fusion by Min Wu, Sirui Xu, Ziwei Wang, Jin Dong, Gong Cheng, Xinlong Yu, Yang Liu

“…Our approach harnesses the complementary strengths of CNNs in capturing local geometric details and Transformers in establishing long-range dependencies, enabling comprehensive joint perception of both local and global visual patterns. Furthermore, capitalizing on the Transformer’s flexible input processing mechanism, we develop an attention-guided non-uniform cropping strategy that dynamically eliminates redundant image patches with minimal impact on localization accuracy, thereby achieving enhanced computational efficiency. …”
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A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance by Mst Alema Khatun, Mohammad Abu Yousuf, Taskin Noor Turna, AKM Azad, Salem A. Alyami, Mohammad Ali Moni

“…Thus, we developed an ensemble activity recognition model, namely “Attention-CNN-BiLSTM with selective ML”. …”
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Detecting and Analysing Possible Outliers in Global Stock Market Returns by Ali A. Shehadeh, Sadam M. Alwadi, Mohammad I. Almaharmeh

“…We find a sequential pattern in outlier occurrence within individual return series, and a concurrent pattern across stock markets. …”
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