QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…QPPLab integrates correlation-based iterative algorithms, supports customizable parameter settings, and features automated workflows to simplify analysis. …”
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A comparison of DNA methylation detection between HiFi sequencing and whole genome bisulfite sequencing in monozygotic twins with Down syndrome. by Kanyanee Promsawan, Chalurmpon Srichomthong, Monnat Pongpanich, Vorasuk Shotelersuk

“…WGBS data were processed with two pipelines, wg-blimp and Bismark, while HiFi WGS data were analyzed using pb-CpG-tools. Our analysis focused on four key aspects: CpG site detection, genomic distribution of methylated CpGs (mCs), average methylation levels, and inter-platform concordance. …”
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Segmental Pulse Volume Recordings at the Forefoot Level as a Valuable Diagnostic Tool for Detection of Peripheral Arterial Disease in the Diabetic Foot Syndrome by Andreas Nützel, Lilly Juliane Undine Reik, Maximilian Hamberger, Christian Lottspeich, Sinan Deniz, Anja Löw, Holger Schneider, Hans Polzer, Sebastian Baumbach, Michael Czihal

“…<b>Conclusions:</b> PVRs with extraction of quantitative features offer promising diagnostic yield for detection of PAD in the setting of DFS. …”
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Critical Evaluation of Techniques to Detect and Measure Cell Death – Study in a Model of UV Radiation of the Leukaemic Cell Line HL60 by Marina Leite, Margarida Quinta‐Costa, Pedro Simas Leite, José Eduardo Guimarães

“…Each of these methods detects different morphological or biochemical features of these two processes. …”
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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

“…Abstract Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection. …”
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Few-Layer Graphene-Based Optical Nanobiosensors for the Early-Stage Detection of Ovarian Cancer Using Liquid Biopsy and an Active Learning Strategy by Obdulia Covarrubias-Zambrano, Deepesh Agarwal, Joan Lewis-Wambi, Raul Neri, Andrea Jewell, Balasubramaniam Natarajan, Stefan H. Bossmann

“…A hierarchical framework integrated with active learning (AL) as a prediction and analysis tool for early-stage detection of ovarian cancer was implemented, which obtained an overall accuracy score of 94.5%, with both a sensitivity and specificity of 0.94.…”
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AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study. by Li Sun, Yangyang Fan, Shan Shi, Minghong Sun, Yunyao Ma, Kuo Zhang, Feng Zhang, Huan Liu, Tong Yu, Haibin Tong, Xuedong Yang

“…The influence of patient characteristics, report time, and RF features on the performance of AI and radiologists was investigated. …”
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State-and-Evolution Detection Model for Characterizing Farmland Spatial Pattern Variation in Hengyang Using Long Time Series Remote Sensing Product by Yunong Ma, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Xiongwei Guan, Xiangnan Liu, Meiling Liu

“…Moreover, studies in which researchers have utilized dynamic process analysis to describe farmlands are relatively limited. …”
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Detection of mineralogical and lithological transitions in igneous Intrusion-Limestone boundaries using close-range hyperspectral remote Sensing: A resource perspective by Huy Hoa Huynh, Jaehyung Yu, Lei Wang, Trung Hieu Pham, Jin-Young Lee

“…This study presents an innovative solution for detecting complex geological formations, particularly in areas where field surveys are difficult or impossible. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

“…Abstract Molecular features are incorporated into the integrated diagnostic system for adult diffuse gliomas. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…When applying all available features (i.e., visual, acoustic, verbal, and physiological), or a combination of visual, acoustic and verbal features, performance ranged from acceptable to good, but only for the presentation task (accuracy up to.71, F1-score up to.73).ConclusionsThe complexity of input features needed for machine-learning detection of stress severity based on multimodal data requires large sample sizes with wide variability of stress reactions and inputs among participants. …”
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CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter study by Huancheng Yang, Yueyue Zhang, Fan Li, Weihao Liu, Haoyang Zeng, Haoyuan Yuan, Zixi Ye, Zexin Huang, Yangguang Yuan, Ye Xiang, Kai Wu, Hanlin Liu

“…The AI framework integrates segmentation, classification, and model interpretation, enabling fully automated analysis. The AI framework enables non-invasive preoperative detection of high-risk tumors, assisting clinical decision-making. …”
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Analysis of the existing approaches to in-flight aircraft rerouting by M. A. Kiselev, Yu. S. Kalyuzhny, A. V. Karpov, Yu. V. Petrov

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Expression Analysis of FANCD2 in Endometrial Carcinoma by Zhang L, Chang J, Wu X

“…The expression levels of FANCD2 in 62 cases of endometrial carcinoma and 28 cases of normal endometrial tissues were detected by RT-PCR, and the relationship between FANCD2 expression and clinicopathological features was analyzed. …”
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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

“…In the proposed algorithm, 1D signal analysis for HIF detection in the MV distribution system is performed for the first time for fault analysis. …”
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Analysis of dedifferentiated liposarcomas emphasizing the diagnostic dilemmas by Bhagat Singh Lali, Hema Kini, Shrijeet Chakraborti, Jyoti Kini, Pooja K Suresh

“…The present study analyzed the role of clinicopathologic and immunohistochemical (IHC) features in the diagnosis of DDLPS and its differentiation from mimics. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Comparisons with other optimization techniques, such as the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), reveal that the proposed method outperforms them in selecting key features and achieving faster convergence. These characteristics make the proposed method a suitable choice for real-world applications, including recommender systems, large-scale social network analysis, and interaction pattern detection. …”
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Prenatal diagnosis and molecular cytogenetic analysis of pure chromosome 10p15.3 microdeletion using chromosomal microarray analysis by Na Zhang, Nan Huang, Yu’e Chen, Xinying Chen, Jianlong Zhuang

“…Karyotyping and chromosomal microarray analysis (CMA) was conducted to assess chromosomal abnormalities and detect copy number variations (CNVs) within the families, respectively. …”
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CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…However, challenges such as lighting variations, occlusions, and diverse behaviors complicate sensor-based behavior analysis. To address these issues, we introduce CSSA-YOLO, a novel detection network that incorporates cross-scale feature optimization. …”
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Experimental Comparative Investigations to Evaluate Cavitation Conditions within a Centrifugal Pump Based on Vibration and Acoustic Analyses Techniques by Ahmed Ramadhan AL-OBAIDI

“…The results obtained from vibration and acoustic signals in time and frequency domains were analysed in order to achieve better understanding regarding detection of cavitation within a pump. The effect of different operating conditions related to the cavitation was investigated in this work using different statistical features in time domain analysis (TDA). …”
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