Optimization of Filter-aided Sample Preparation Method Based on High-resolution Mass Spectrometry by Ying ZHANG, Xuan SUN, Ling-jie MENG

“…Moreover, the improved FASP method shows no bias for identifying proteins with different molecular weights and isoelectric points, and its optimal protein loading is determined to be 20 μg. …”
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Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism by Jin-Ling Bei, Ji-Quan Wang

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Optimization of Sulfur Determination in Vanadium-Titanium Magnetite Ore in the Panxi Area by Yong WANG, Zijing LI, Lin LIU, Guowei LI

“…The relative standard deviation (RSD) in samples was 0.40%−0.67%, with satisfactory precision. The range of the method was 0.0004%−1.52%, and the detection limit was 0.0004%.…”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…As part of further work, it is possible to consider the optimization of the parameters used in the methods of detecting and correcting outliers to study their effect on the results of the models.…”
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Development and Application of a TaqMan RT-qPCR for the Detection of Foot-and-Mouth Disease Virus in Pigs by Changying Dong, Xingyu Xiao, Meiqi Wang, Yajuan Sun, Hui Jin, Yongzhe Zhang, Hongri Zhao, Qianyue Cao, Yanran Yang, Rui Yin

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Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology by A. Z. Kotarba, I. Wojciechowska

“…Results indicate that even with optimal parameter configurations, DCC detection accuracy remains moderate and is below 75 % (Cohen's <span class="inline-formula"><i>κ</i></span> <span class="inline-formula">&lt;</span> 0.4) for all methods. …”
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Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process by Yixuan Xie, Zhiqiang Liu, Yinqi Li, Yueyue Zong

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Methods for the detection of tumor-specific single nucleotide somatic mutations in plasma cDNA samples by L. M. Dyakov, O. M. Krivtsova, P. A. Khesina, I. F. Kustova, N. A. Dyakova, N. S. Muge, N. E. Kudashkin, Yu. I. Patyutko, N. L. Lazarevich

“…Liquid biopsy is considered as a minimally invasive method of molecular genetic analysis that can be used for early diagnosis, prognosis of disease development, monitoring of residual disease or treatment outcomes, and selection of optimal drug therapy schemes for a patient. …”
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Wireless Sensor Network Deployment: Architecture, Objectives, and Methodologies by Frantz Tossa, Yves Faga, Wahabou Abdou, Eugène C. Ezin, Pierre Gouton

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Bitemporal Remote Sensing Change Detection With State-Space Models by Lukun Wang, Qihang Sun, Jiaming Pei, Muhammad Attique Khan, Maryam M. Al Dabel, Yasser D. Al-Otaibi, Ali Kashif Bashir

“…This article investigates the impact of different scanning mechanisms within Mamba, evaluating five mainstream methods to optimize its performance in change detection. …”
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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

“…Furthermore, to improve the detection of gradual faults, artificial intelligence-based fault detection methods were also explored. …”
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Spectrophotometric and cloud point extraction methods to detect Quercetin Dihydrate in supplement formulations and urine samples by Sadeem Subhi Abed, Mayasa Mansour Mohammed

“…The CPE method significantly improved the sensitivity of QRC detection, reducing the LOD from 0.0351 μg/mL (without CPE) to 0.0234 μg/mL (with CPE). …”
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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…All anomaly detection methods improved the baseline classifier’s performance, with the majority voting ensemble achieving the highest F1 score.…”
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Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Further, research is needed to create robust, efficient techniques that generalize datasets and detect anomalies in complex industrial images. The outcome of this study focuses on various AD methods from 2019 to 2023. …”
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Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

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Minimal Residual Disease Detection: Implications for Clinical Diagnosis and Cancer Patient Treatment by Meiling Song, Wenjing Pan, Xinjie Yu, Jie Ren, Congli Tang, Zhu Chen, Zhe Wang, Yan Deng, Nongyue He, Hongna Liu, Song Li

“…In hematological malignancies, MRD pose an increasingly serious threat to the health of Chinese people. Accurate MRD detection is essential for assessing relapse risk and optimizing therapeutic strategies, yet current methods such as flow cytometry, polymerase chain reaction (PCR), and next‐generation sequencing (NGS) each have distinct limitations, and significant gaps remain in achieving optimal sensitivity and specificity of these technologies. …”
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RPA-CRISPR/Cas12a detection based on HCMV-UL123 gene: A way with higher detection rate than clinical detection methods by Tianyang Liu, Yao Wang, Zihao Liao, Xiaowen Li, Shanshan Tang, Zhongming Zhang, Ming Chu, Lanlan Wei

“…The current clinical detection methods are insufficient in sensitivity, highlighting the need for more effective approaches. …”
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A Nondestructive Detection Method for the Muti-Quality Attributes of Oats Using Near-Infrared Spectroscopy by Linglei Li, Long Li, Guoyuan Gou, Lang Jia, Yonghu Zhang, Xiaogang Shen, Ruge Cao, Lili Wang

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