CRISPR-Cas for hepatitis virus: a systematic review and meta-analysis of diagnostic test accuracy studies by Zhenzhen Pan, Ling Xu, Zihao Fan, Feng Ren

“…These analyses revealed that the type of hepatitis virus detected and the format of the final result presentation could be potential sources of this heterogeneity.ConclusionThis systematic review and meta-analysis demonstrates the high diagnostic accuracy of CRISPR-Cas system in detecting hepatitis viruses. …”
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Optimized T7 Amplification System for Microarray Analysis by C. Pabón, Z. Modrusan, M.V. Ruvolo, I.M. Coleman, S. Daniel, H. Yue, L.J. Arnold, M.A. Reynolds

“…However, standard hybridization and detection protocols are insufficient for milligram quantities of tissue, such as those derived from needle biopsies. …”
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Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating by Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe

“…Although nonlinear interfered spin‐wave multi‐detection exhibits high nonlinearity and the ability to map in high dimensional feature space, it does not have sufficient performance to process time‐series data precisely. …”
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Application of graph theory in liver research: A review by Xumei Hu, Longyu Sun, Rencheng Zheng, Xueqin Xia, Meng Liu, Weibo Chen, Xinyu Zhang, Chengyan Wang

“…This has allowed significant advancements in the detection, treatment, and control of liver disorders. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…Pattern matching algorithms have gained a lot of importance in computer science, primarily because they are used in various domains such as computational biology, video retrieval, intrusion detection systems, and fraud detection. Finding one or more patterns in a given text is known as pattern matching. …”
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PCR master mixes harbour murine DNA sequences. Caveat emptor! by Philip W Tuke, Kate I Tettmar, Asif Tamuri, Jonathan P Stoye, Richard S Tedder

“…<h4>Conclusions/significance</h4>Methodologies for the detection of viruses highly homologous to endogenous murine viruses require special caution as the very reagents used in the detection process can be a source of contamination and at a level where it is not immediately apparent. …”
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The search of personified approach in the diagnostics of osteo-articular system changes in tuberculous spondylitis by S. V. Smerdin, Yu. A. Tsybulskaya, I. V. Shutikhina, R. V. Stavitsky, I. M. Lebedenko, L. S. Kokov, N. V. Selyukova

“…Any of the imaging techniques (radiography, CT and MRI) has its own possibilities and limitations in the detection of this disease. Objective was to clarify the possibility of using a multislice linear tomography (digital tomosynthesis) of the spine and an automated classifi ed system of experimental scientific association in physics science and technology (ACS ESAPST) in detecting bone destructive changes in tuberculous spondylitis. …”
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Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis by Yunhang Wang, Hongwei Wang, Ruoyang Bai, Yuxin Shi, Xicong Chen, Qingang Xu

“…A decision-level multimodal fusion deep learning strategy is proposed for the effective fault detection of rolling bearings based on long-term fault signals collected from multiple sensors. …”
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Derivative spectrophotometric method for simultaneous determination of ascorbic acid and folic acid in the pharmaceutical formulation; Comparative greenness assessment by Kayan S. Aziz, Hemn A. Qader

“…The GAPI assessment highlighted low environmental and health risks throughout the analytical process, making this method a green and sustainable choice for the simultaneous determination of ascorbic acid and folic acid. …”
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Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases by Yerken Mirasbekov, Nurduman Aidossov, Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, Eddie Yin Kwee Ng, Anna Midlenko

“…Breast cancer remains a global health problem requiring effective diagnostic methods for early detection, in order to achieve the World Health Organization’s ultimate goal of breast self-examination. …”
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Automated 3D defect inspection in shield tunnel linings through integration of image and point cloud data by Hongwei Huang, Shuyi Liu, Mingliang Zhou, Hua Shao, Qingtong Li, Phromphat Thansirichaisree

“…Abstract Recent advancements in automated tunnel defect detection have utilized high-resolution cameras and mobile laser scanners. …”
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The 2015 guidelines for the laboratory diagnosis of rheumatic diseases by the All-Russian Public Organization «Association of Rheumatology of Russia» by E. N. Aleksandrova, A. A. Novikov, E. L. Nasonov

“…Serological antibody detection tests hold a central position in the laboratory diagnosis of RDs. …”
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End-to-End Interrupted Sampling Repeater Jamming Countermeasure Network Under Low Signal-to-Noise Ratio by Gane Dai, Xiaoxuan Yang, Sha Huan, Ziyang Chen, Cong Peng, Yuanqin Xu

“…A multi-domain combined loss function integrates the waveform and range-pulse-compression information to ensure the amplitude and phase integrity of the reconstructed echo waveform during the training process. The effectiveness of the proposed method was validated in terms of its jamming suppression capability, echo fidelity, and detection performance indicators under low-SNR conditions compared to conventional methods.…”
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Sarcocystis neurona, Toxoplasma gondii, and Neospora caninum infection in bovine fetuses from a slaughterhouse in southern Brazil by Isac J. Roman, Larissa G. Tagarra, Fernando S. Rodrigues, Juliana F. Cargnelutti, Luis Antonio Sangioni, Fernanda S.F. Vogel

“…ABSTRACT: This study aims to describe the molecular detection of Sarcocystis neurona, Toxoplasma gondii, and Neospora caninum in brain samples obtained from bovine fetuses at a slaughterhouse in South Brazil. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

“…Additionally, feature importance scores for Random Forest and Gradient Boosting provide insights into the most influential factors in the classification process. This work demonstrates the efficacy of combining dimensionality reduction, ensemble learning, and Optuna optimization, validated through 3-fold cross-validation, offering a novel and reliable approach to interpretable breast cancer detection systems.…”
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IECI: A Pipeline Framework for Iterative Event Causal Identification with Dynamic Inference Chains by Hefei Chen, Yuanyuan Cai, Zexi Song, Yiyao Zhang, Hongbo Zhang

“…This demonstrates the effectiveness and robustness of the proposed framework in both event detection and event causality identification.…”
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Ground Based Cloud Recognition with an Anchor Free Method by LI Yichao, GUO Rui, ZHANG Shaodi, SHOU Zefeng, CHEN Jing, LIU Yifei

“…In order to solve the problems of cloud type recognition of the ground-based cloud such as complex target candidate box selection and slow detection speed, a recognition method of cloud types in ground-based cloud map based on anchor free is proposed.First, the paper takes Center Net as the basic architecture of cloud type recognition.Based on thermodynamic diagrams prediction, key point prediction, center point prediction and candidate box prediction, a anchor free ground-based cloud type detection process is constructed.And then, the main network, loss function and candidate box prediction method of cloud type recognition model are designed.Finally, take CenterNet Resdcn101 as the model, compared the algorithm recognition accuracy, candidate boxes predict confidence and identify speed with mainstream target recognition methods and cloud type recognition method The results showed that the cloud type recognition method of the paper has higher recognition accuracy and faster recognition speed.…”
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Application of Object Based Image Classification Using Orthophotos: A Case Study of the Van-Erciş Earthquake by Aslı Sabuncu, Filiz Sunar

“…Earthquake-induced building damage detection is a very important step after earthquakes since such buildings pose a risk for cities. …”
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Current Practice and Emerging Molecular Imaging Technologies in Oral Cancer Screening by Arianna Strome BS, Susanne Kossatz PhD, Daniella Karassawa Zanoni MD, Milind Rajadhyaksha PhD, Snehal Patel MD, Thomas Reiner PhD

“…Several vital dyes, light-based detection systems, and cytology evaluation methods have been formulated to aid in the visualization process, but their lack of specific biomarkers resulted in high false-positive rates and thus limits their reliability as screening and guidance tools. …”
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