A Microfluidic-Based Sensing Platform for Rapid Quality Control on Target Cells from Bioreactors by Alessia Foscarini, Fabio Romano, Valeria Garzarelli, Antonio Turco, Alessandro Paolo Bramanti, Iolena Tarantini, Francesco Ferrara, Paolo Visconti, Giuseppe Gigli, Maria Serena Chiriacò

“…We investigated the design and characterization of a Lab-On-a-Chip (LoC) cell detection system primarily designed to support immunotherapy in cancer treatment. …”
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Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia by Xiaoyun Feng, Yufeng Qin, Yulong Feng, Yingquan Zhuo

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Transceiver Design of a Secure Multiuser FDSS-Based DFT-Spread OFDM System for RIS- and UAV-Assisted THz Communications by Md. Najmul Hossain, Kottakkaran Sooppy Nisar, Tetsuya Shimamura, Md. Rakibul Islam, Sk. Tamanna Kamal, Shaikh Enayet Ullah

“…Furthermore, we included repeat and accumulate (RA) channel coding with Cholesky decomposition-based zero-forcing (CD-ZF) and minimum mean square error (MMSE) signal detection schemes to improve the bit error rate (BER). …”
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Establishment of an In-House Indirect Enzyme-Linked Immunosorbent Assay to Detect Antibodies Against African Horse Sickness Based on Monovalent and Polyvalent Live Attenuated Vacci... by Darsaniya Punyadarsaniya, Machimaporn Taesuji, Khate Rattanamas, Sakchai Ruenphet

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Principal Component Analysis-Multilinear Perceptron-based model for Distributed Denial of Service Attack Mitigation by Opeyemi Oreoluwa Asaolu, Oluwasanmi Segun Adanigbo, Afeez Adekunle Soladoye, Nnamdi Stephen Okomba

“…In this study, a PCA-MLP (Principal Component Analysis-Multi-Layer Perceptron) intrusion detection model combined with a packet-filtering firewall for enhanced prevention is presented. …”
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A novel fluorescence immunoassay for the quantitative detection of HPV16 L1 antibodies in human serum samples using ZnCdSe/ZnS quantum dot-labeled antibodies by Aiping Wang, Cheng Xin, Zhuting Chen, Jingming Zhou, Yumei Chen, Yankai Liu, Hongliang Liu, Chao Liang, Xifang Zhu, Yanhua Qi, Gaiping Zhang

“…This study aimed to develop a novel quantum dot-labeled blocking enzyme-linked immunosorbent assay (QDs-B-ELISA) for the quantitative detection of anti-HPV16-L1 antibodies. …”
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Implementation of a peer support intervention to promote the detection, reporting and management of adverse drug reactions in people living with HIV in Uganda: a protocol for a qua... by Freddy Eric Kitutu, Victoria Nambasa, Ronald Kiguba, Helen Byomire Ndagije, Cordelia Katureebe, Phil Tregunno, Kendal Harrison, Jacquellyn Nambi Ssanyu, Henry Zakumumpa, Corinne S Merle, Stella Maris Nanyonga, Marie-Eve Raguenaud

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Improving Quality of Care Through Detection of Complexity Among Community‐Dwelling Older People Receiving District‐Nurse Support: ImPaCt Study Randomised Controlled Trial by Jennifer Boak, Tshepo Rasekaba, Irene Blackberry

“…Design A parallel‐group‐blocked pragmatic randomised controlled trial. Methods A mixed‐method study conducted within a regional Australian community nursing service. …”
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Utilização de sensor óptico ativo para detectar deficiência foliar de nitrogênio em algodoeiro Use of an active optical sensor to detect leaf nitrogen deficiency in cotton by Anamari V. de A. Motomiya, José P. Molin, Ederaldo J. Chiavegato

“…The sensor may be a potential tool for nitrogen deficiency detection in cotton.…”
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WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

“…A consequence of such processes is gas porosity that controls many parameters of the medium and the oscillation regime of the threedimensional state of stresses of the block structures (Figures 6, 7, and 12), which impacts the dynamics of block movements. …”
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ResNet-SE-CBAM Siamese Networks for Few-Shot and Imbalanced PCB Defect Classification by Chao-Hsiang Hsiao, Huan-Che Su, Yin-Tien Wang, Min-Jie Hsu, Chen-Chien Hsu

“…Unlike previous deep learning models that require extensive datasets, our approach effectively performs defect detection with minimal data. We propose a Siamese network that integrates Residual blocks, Squeeze and Excitation blocks, and Convolution Block Attention Modules (ResNet-SE-CBAM Siamese network) for feature extraction, optimized through triplet loss for embedding learning. …”
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Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study by Shuhei Toba, Yoshihide Mitani, Yusuke Sugitani, Yusuke Sugitani, Hiroyuki Ohashi, Hirofumi Sawada, Mami Takeoka, Naoki Tsuboya, Kazunobu Ohya, Noriko Yodoya, Takato Yamasaki, Yuki Nakayama, Hisato Ito, Masahiro Hirayama, Motoshi Takao

“…For detecting electrocardiograms with ST-T abnormality, complete right bundle branch block, QRS axis abnormality, left ventricular hypertrophy, incomplete right bundle branch block, WPW syndrome, supraventricular tachyarrhythmia, and Brugada-type electrocardiograms, the specificity of the deep learning-based model was higher than that of the conventional algorithm at the same sensitivity.ConclusionsThe present new deep learning-based method of screening for abnormal electrocardiograms in children showed at least a similar diagnostic performance compared to that of a conventional algorithm. …”
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Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…Therefore, the proposed algorithm has a blind detection process which is more suitable for practical and online applications. …”
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An efficient camouflaged image segmentation with modified UNet and attention techniques by Isha Padhy, Prabhat Dansena, Sampa Sahoo, Rahul Priyadarshi

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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

“…ObjectivesThe surface morphology of diamond lapping pads has a direct impact on the lapping quality of hard and brittle materials such as sapphire and silicon carbide. Detecting and controlling the surface morphology of diamond lapping pads is a crucial step in improving the lapping quality. …”
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Evading control flow graph based GNN malware detectors via active opcode insertion method with maliciousness preserving by Hao Peng, Zehao Yu, Dandan Zhao, Zhiguo Ding, Jieshuai Yang, Bo Zhang, Jianming Han, Xuhong Zhang, Shouling Ji, Ming Zhong

“…Existing function-preserving adversarial attacks fall short of effectively modifying portable executable (PE) malware control flow graphs (CFGs), thereby failing to bypass the graph neural network (GNN) models that utilize CFGs for detection. To solve this issue, we introduce a novel base modification method called active opcode insertion, which modifies PE CFGs while preserving functionality by inserting a processed sequence of benign and jump opcodes to connect with the original base block. …”
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AAD-YOLO: An Improved YOLOv8 Model for Complex Remote Sensing Scenarios by Yue Hong, Yi Shu, Shuo Guo

“…Detecting small objects in remote sensing images is challenging due to complex background interference, the tendency for them to be misse, and multi-scale variations. …”
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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…Abstract Deep neural networks have significantly enhanced visual data-based fire detection systems. However, high false alarm rates, shallow-layered networks, and poor recognition in challenging environments continue to hinder their practical deployment. …”
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An electrocardiogram signal classification using a hybrid machine learning and deep learning approach by Faramarz Zabihi, Fatemeh Safara, Behrouz Ahadzadeh

“…Our findings demonstrate the effectiveness and efficiency of our approach in accurately classifying ECG signals for arrhythmia detection.…”
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An Analytical Framework for the Selective Extraction and Determination of Nine Multiclass Endocrine-Disrupting Chemicals from Haircare Products by Ilaria Neri, Ritamaria Di Lorenzo, Giacomo Russo, Teresa Di Serio, Lucia Grumetto, Sonia Laneri

“…A key concern is the presence of endocrine-disrupting chemicals, which means they can mimic, block or interfere with the body’s natural hormones, in many everyday items, among which are personal care products. …”
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