Solid Calcium Carbonate formation detected by SEM-EDS within the epileptic focus of an in vivo epilepsy model of Wistar rats by Tessy López-Goerne, Rafael Valiente, Emilio Chávez, Antonella González-Bondani, Joaquín Manjarrez, Francisco Javier Padilla-Godínez

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HES V2.0 surpasses GALAD for HCC detection: a review of multi-dimensional biomarker scores and studies by Fouad Jaber, Hashem B. El-Serag

“…We review the shift toward multi-dimensional scores such as HCC early detection screening (HES), GALAD, ASAP, and mt-HBT represents a significant advancement in biomarker research for hepatocellular carcinoma (HCC) detection. …”
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Sensitive detection of gene expression in mycobacteria under replicating and non-replicating conditions using optimized far-red reporters. by Paul Carroll, Lise J Schreuder, Julian Muwanguzi-Karugaba, Siouxsie Wiles, Brian D Robertson, Jorge Ripoll, Theresa H Ward, Gregory J Bancroft, Ulrich E Schaible, Tanya Parish

“…Treatment of cells with antibiotics demonstrated that mCherry could also be used as a reporter for cell death, since fluorescence decreased in the presence of a bactericidal compound, but remained stable in the presence of a bacteriostatic compound. mCherry was functional under hypoxic conditions; using mCherry we demonstrated that the P(mtbB) is expressed early in hypoxia and progressively down-regulated. mCherry and other far-red fluorescent proteins will have multiple uses in investigating the biology of mycobacteria, particularly under non-replicating, or low cell density conditions, as well as providing a novel means of detecting cell death rapidly.…”
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MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image by Wuyang Shan, Jingchuan Yue, Steven X. Ding, Junying Qiu

“…Finally, use the fused features to detect forgery and generate a predicted mask in a coarse-to-fine progression. …”
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A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

“…Abstract Alzheimer’s Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. Computer-aided systems can help physicians in the early and accurate detection of AD, enabling timely intervention and effective management. …”
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Moiré Pattern-Based Stripe Density Measurement Using Low-Frequency Component Detection by Pongsak Khokhuntod, Anucha Kaewpoonsuk

“…We use a method where grid lines are drawn with a lower density on the left side and progressively increase in density towards the right, surpassing the target stripe density. …”
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Prognostic Value of the Immunohistochemical Detection of Cellular Components of the Tumor Microenvironment in Oral Squamous Cell Carcinoma: A Systematic Review by Hannah Gil de Farias Morais, Caroline Fernandes da Costa, Maurília Raquel de Souto Medeiros, Bárbara de Assis Araújo, Everton Freitas de Morais, Ricardo D. Coletta, Roseana de Almeida Freitas

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Development of an Automated Crack Detection System for Port Quay Walls Using a Small General-Purpose Drone and Orthophotos by Daiki Komi, Daisuke Yoshida, Tomohito Kameyama

“…This approach ensures reliable detection with a sufficient safety margin and enables the proactive monitoring of crack progression for preventive maintenance. …”
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Automated violence monitoring system for real-time fistfight detection using deep learning-based temporal action localization by Baolong Qi, Baoyuan Wu, Bailing Sun

“…However, essential individual features can be extracted by examining human skeletal movements’ progression and temporal patterns. This paper presents a novel multimodal spatio-temporal fistfight detection model (MSTFDet) that integrates RGB images and human skeletal data to identify violent behaviors accurately. …”
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Adaptive Congestion Detection and Traffic Control in Software-Defined Networks via Data-Driven Multi-Agent Reinforcement Learning by Kaoutar Boussaoud, Abdeslam En-Nouaary, Meryeme Ayache

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Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…A precisely controlled hydrodynamic force field progressively disrupts adhesion in multiple stages, reducing mechanical stress and preserving cell integrity. …”
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Optimization of High-Frequency Ultrasound Imaging to Detect Incremental Changes in Mineral Content at the Cartilage–Bone Interface Ex Vivo by Akshay Charan, Parag V. Chitnis, Caroline D. Hoemann

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A Hybrid Model for Early Melanoma Detection: Integrating YOLOv9 and Faster R-CNN for Enhanced Diagnostic Accuracy by Mohamed I. Marie, Mohamed S. Elredeny, Ahmad Essayed Yakoub

“…Melanoma accounts for only 1% of skin cancer diagnoses yet causes the majority of skin cancer-related deaths due to its rapid progression and high metastatic potential. Early and accurate detection is crucial for improving patient outcomes; however, existing deep learning models often struggle to balance diagnostic precision with real-time efficiency. …”
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Improved potassium reliability in whole blood through hemolysis detection on the novel GEM Premier 7000 blood gas analyzer by Pighi Laura, Salvagno Gian Luca, Marcazzan Filippo, Rizza Mariateresa, Lippi Giuseppe

“…Background: Hemolysis is the most frequent preanalytical error in clinical laboratories, but its detection in point-of-care (POC) settings remains challenging due to the lack of sample separation. …”
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Rapid Microfluidic Biosensor for Point-of-Care Determination of Rheumatoid Arthritis via Anti-Cyclic Citrullinated Peptide Antibody Detection by Wei-Yu Tai, To-Lin Chen, Hsing-Meng Wang, Lung-Ming Fu

“…This study introduces a microfluidic detection platform that combines a microfluidic reaction chip with a micro-spectrometer to accurately detect the anti-cyclic citrullinated peptide antibody (anti-CCP Ab) biomarker, commonly associated with arthritis. …”
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Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data. by Jiaxin Fan, Xuran Wang, Rui Xiao, Mingyao Li

“…We further applied BSCET to two pancreatic islet bulk RNA-seq datasets, and detected genes showing cell-type-specific AEI that are related to the progression of type 2 diabetes. …”
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Deep Learning and Hydrological Feature Constraint Strategies for Dam Detection: Global Application to Sentinel-2 Remote Sensing Imagery by Hongyuan Gu, Yongnian Gao, Yasen Fei, Yongqi Sun, Yanjun Tian

“…This method leverages the efficient YOLOv5s model for preliminary deep learning-based dam detection. Next, based on the hydrological features of dams, constraints such as adjacent water body, single reservoir-based dam number, watershed river network, and detection box-based river network elevation difference are progressively introduced to eliminate false detections. …”
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Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model by S. M. Mahim, Md. Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Ming-Bo Niu

“…Alzheimer’s Disease (AD) is a significant cause of dementia worldwide, and its progression from mild to severe affects an individual’s ability to perform daily activities independently. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…The IoT network’s security can progressively become a critical concern as IoT technology obtains extensive use. …”
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Let‐7e as Potential Diagnostic Biomarkers in Early Detection of Peri‐Implant Diseases: A Cross‐Sectional Study by Nurul Latifah Zainal Abidin, Norjehan Latib, Fouad Hussain Al‐Bayaty, Mohd Faizal Hafez Hidayat

“…Conclusions Our study indicates that miRNA biomarkers, particularly let‐7e, may play a significant role in the development and progression of PID, highlighting the need for further in‐depth investigation, with PICF offering a practical, noninvasive sampling method.…”
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