China’s efforts on the CSEP and a retrospective case by Huaizhong Yu, Jingxue Zhang, Yue Liu, Yongxian Zhang, Chieh-Hung Chen, Rui Yan, Gang Li, Zeping Li, Yuchuan Ma, Zhengyi Yuan, Wen Yang, Donghui Jia, Binbin Zhao

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Integrated Multi-Omics Profiling Reveals That Highly Pyroptotic MDMs Contribute to Psoriasis Progression Through CXCL16 by Liping Jin, Xiaowen Xie, Mi Zhang, Wu Zhu, Guanxiong Zhang, Wangqing Chen

“…Immune cell infiltration profiles were evaluated via CIBERSORT, while cell-cell communication networks were analyzed by CellChat. …”
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…The model’s performance was evaluated using the standard classification metrics (accuracy, precision, recall, F1-score, and AUC). …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…A further objective is to evaluate the impact of these landslides on the built environment, particularly roads and buildings. …”
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Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data by Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashadul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim

“…We focus on One-Dimensional Convolutional Neural Networks (1D-CNNs) in our research, to recognize cat activity modeling for detection and classification. …”
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The role of weaning in brace treatment for developmental dysplasia of the hip: time to define best practice? by Joanna Craven, Ioan Davies, Daniel C Perry

“…Methods: A survey was developed using Google Forms and disseminated via professional networks, social media, and the British Society of Children’s Orthopaedic Surgery mailing list. …”
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Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…However, the increasing demand for high-performance wireless networks necessitates advanced frameworks that optimize both energy efficiency (EE) and security. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…In this stage, the filtered audio is represented as a graph using the proposed spiral pattern information extraction method. Graph coloring algorithms are applied to convert the graph into a visual representation, which is then input into a specially designed Convolutional Neural Network (CNN) model for classification. …”
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Exploring canyons beneath Devon Ice Cap for sub-glacial drainage using radar and thermodynamic modeling by Chris Pierce, Mark Skidmore, Lucas Beem, Don Blankenship, Ed Adams, Christopher Gerekos

“…The largest canyon connects a hypothesized brine network near the Devon Ice Cap summit with the marine-terminating Sverdrup outlet glacier. …”
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8-port MIMO antenna at 27 GHz for n261 band and exploring for body centric communication. by Anupma Gupta, Meet Kumari, Manish Sharma, Mohammed H Alsharif, Peerapong Uthansakul, Monthippa Uthansakul, Shonak Bansal

“…The antenna is investigated to use in body area network applications. To evaluate its on-body performance, an equivalent body model is virtually developed. …”
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Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification by Zhuozheng Wang, Yunlong Wang

“…The proposed model was evaluated on the Kaya dataset, achieving a five-class MI classification accuracy of 55.76%. …”
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A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis by Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang

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Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…Consequently, an improved Transformer-based convolutional neural network (CNN) model (ITCNN) is proposed to segment the affected region in the segmentation process. …”
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Experimental Validation of a GNSS Receiver Antenna Absolute Field Calibration System by Antonio Tupek, Mladen Zrinjski, Krunoslav Špoljar, Karlo Stipetić

“…Furthermore, the main goals of this contribution are to evaluate the accuracy of dual-frequency GPS calibration results on the pattern level with respect to independent calibrations obtained from Geo++ GmbH and to extensively experimentally validate LMMT calibration results in the spatial (coordinate) domain, i.e., to investigate how the application of LMMT PPC models reflects on geodetic-grade GNSS positioning. …”
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The Potential Biological Roles and Clinical Significance of Anaphase-Promoting Complex Subunit 1 in Colorectal Cancer by Yi Chen MD, Yu-Xing Tang MD, Da-Tong Zeng MD, Jia-Ying Wen MD, Yan-Ting Zhan MD, Dong-Ming Li MD, Rong-Quan He MD, Zhi-Guang Huang MD, Yu-Zhen Chen MD, Qiu-Yu Wei MD, Gang Chen PhD, Yu-Lu Tang MD, Hui Li MD

“…Materials and methods This study integrated 2329 mRNA expression data, single-cell RNA sequencing (scRNA-seq), and internal immunohistochemistry of 416 tissue samples to comprehensively evaluate the abnormal expression pattern of ANAPC1 in CRC. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…Conversely, CNN-based features are automatically acquired representations that identify complex patterns in nuclei images. To assess how effectively these techniques segment cell nuclei, their performance is evaluated. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Additionally, we evaluated five classical ML models for classifying the extracted patterns: (a) Support Vector Machine (SVM); (b) GaussianNB (GNB); (c) AdaBoost (ADB); (d) K-Nearest Neighbors (KNN); and (e) Random Forest (RF). …”
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Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study by Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O’Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke, Karen Spilsbury

“…Intervention and study delivery were evaluated against predefined progression criteria. …”
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Anamnestic, clinical, and dermoscopic predictors of malignancy in melanocytic lesions with peripheral globules: a retrospective study by Enrico Zelin, Vanessa Mazzoletti, Jessica Paladin, Andrea Corio, Raffaele Dante Caposiena Caro, Giulia Bazzacco, Enzo Errichetti, Nicola Di Meo, Iris Zalaudek

“… Melanocytic lesions with peripheral globules (MLPGs) usually represent lesions in an active growth phase and should be carefully evaluated in adults and the elderly, since melanoma can rarely present with this pattern. …”
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The status and trends of type 2 diabetic osteoporosis research: a global bibliometric and visualization analysis over the past 20 years by Haiyan Hou, Liying Zhu

“…Unlike classical osteoporosis, patients with T2DOP often exhibit a paradoxical pattern: they have normal or even elevated bone mineral density (BMD) in early stages despite deterioration in bone microarchitecture. …”
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