Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…For bidirectional step detection, the proposed algorithm with vector calibration improved step detection accuracy from 67.63% to 99.25% and forward/backward classification from 65.54% to 100% across various device orientations.…”
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A robust deep learning framework for multiclass skin cancer classification by Burhanettin Ozdemir, Ishak Pacal

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Using sightability‐adjusted brood‐pair ratios to estimate waterfowl productivity by Anthony M. Pagano, Courtney L. Amundson, Matthew R. Pieron, Todd W. Arnold, Timothy C. Kimmel

“…Traditional roadside brood surveys detected only 30–45% of the available broods, depending on species. …”
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Coverage Hole Recovery in Hybrid Sensor Networks Based on Key Perceptual Intersections for Emergency Communications by He Li, Shixian Sun, Chuang Dong, Qinglei Qi, Cong Zhao, Zufeng Fu, Peng Yu, Jiajia Liu

“…Then, the percentage of each unit covered by nodes can be accurately calculated and holes can be detected. Finally, the holes are recovered using the average of the key perceptual intersections as the initial value of the global optimal point of the particle swarm optimization algorithm. …”
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Epidemiological trends of hand, foot, and mouth disease in children under age 10, Jiangning District, Jiangsu, China (2009–2023) by Baiqun Wu, Xiangnan Zhang, Minhui Fu, Xiaoming Ji

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Integration of wing pattern morphology and deep learning to support Plusiinae (Lepidoptera: Noctuidae) pest identification by Karina M. Torres, Chenjiao Tan, Kayla A. Mollet, Allan H. Smith-Pardo, Rui Xu, Changying Li, Silvana V. Paula-Moraes

“…Sex pheromone trapping in IPM programs represents a tool to detect initial infestations and promote timely management decisions. …”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…The framework comprised three key stages: first, a curvature-adaptive weighting mechanism was adapted to optimized the Fast Point Feature Histogram (FPFH) descriptors for initial coarse registration, utilizing terrains features. …”
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Urine PD-L1 as a non-invasive biomarker for immune checkpoint inhibitor (ICI) therapy in bladder cancer by Qianyun Ge, Peng Wang, Shang-jui Wang, Akshay Sood, Lingbin Meng, Cheryl Lee, Anil V. Parwani, Jenny Li, Xuefeng Liu

“…Bladder cancer (BCa) is a common urological malignancy with a high recurrence rate, often within 2 years of initial diagnosis and treatment. Due to this high recurrence, near all patients require cystoscopic surveillance, which is invasive, uncomfortable, and costly. …”
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TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor [version 1; peer review: 2 approv... by Liang Fu, Yunfeng Xie, Tingyu Liu, Yifeng Sun, Qing Hong

“…Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high individual initiative of humans, it is difficult to realize real-time action detection in a digital twin shop-floor. …”
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Diagnostic utility of auramine O smear microscopy for detecting non-tuberculous mycobacteria versus Mycobacterium tuberculosis complex in adult clinical samples: a 5-year retrospec... by Nadia Atiya, Leong Tung Ong, Thian Chee Loh, Chee Kuan Wong, Azwani Abdullah

“…In settings with a higher burden of TB than NTM disease, AOSM-positive patients with a clinical history suggestive of TB disease should be considered for TB treatment initiation while awaiting culture confirmation. In contrast, AOSM-positive patients whose clinical history is not strongly suggestive of TB—or is suggestive of NTM disease—should undergo additional testing using alternative methods, such as rapid molecular assays, that can reliably detect and distinguish between MTBC and NTM while awaiting culture confirmation.…”
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Conceptual Design of an Anti-collision System for Light Rail Vehicles by Mariusz WAŻNY, Krzysztof FALKOWSKI, Mirosław WRÓBLEWSKI, Konrad WOJTOWICZ, Adam MARUT

“…The purpose of the anti-collision system is to develop and provide information to support the driver’s decision to initiate the braking of a tram. The anti-collision system is based on the processing of data from multiple sources (obstacle detection, image processing, and visual light communication system) and an expert system. …”
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Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility by Jemar R. Bather, Melody S. Goodman, Adrian Harris, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Daniel Chavez-Yenter, Lingzi Zhong, Lauren Kaiser-Jackson, Rachelle Chambers, Richard Bradshaw, Wendy Kohlmann, Sarah Colonna, Whitney Espinel, Rachel Monahan, Saundra S. Buys, Ophira Ginsburg, Kensaku Kawamoto, Kimberly A. Kaphingst, on behalf of the BRIDGE research team

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Development of an enhanced anti-pan-N-formylmethionine-specific antibody by Dasom Kim, Kyu-Sang Park, Cheol-Sang Hwang

“…Both bacterial and eukaryotic ribosomes can initiate protein synthesis with formylmethionine (fMet), but detecting fMet-bearing peptides and fMet-bearing proteins has been challenging due to the lack of effective anti-pan-fMet antibodies. …”
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Biological functions of 5-methylcytosine RNA-binding proteins and their potential mechanisms in human cancers by Tingting Zhao, Zhe Zhang, Zhuo Chen, Guozheng Xu, Yongxi Wang, Fang Wang

“…This paper introduces several common methodologies for detecting m5C methylation; and reviews the molecular structure and biological functions of m5C readers, including ALYREF, YBX1, YBX2, RAD52, YTHDF2, FMRP, and SRSF2. …”
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A Proposed Method for Deep Learning-Based Automatic Tracking with Minimal Training Data for Sports Biomechanics Research by Daichi Yamashita, Minoru Matsumoto, Takeo Matsubayashi

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Online Tuning of Koopman Operator for Fault-Tolerant Control: A Case Study of Mobile Robot Localising on Minimal Sensor Information by Ravi Kiran Akumalla, Tushar Jain

“…To mitigate this, we are proposing a method to use the information from the analytical models when a fault is detected. Specifically, we obtain the analytical models through data-driven techniques. …”
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Spatiotemporal interactions facilitate sympatry in a diverse mammalian community by Vratika Chaudhary, Varun R. Goswami, Chandan Ri, James E. Hines, Madan K. Oli

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Efficient labeling of french mammogram reports with MammoBERT by Nazanin Dehghani, Vera Saliba-Colombani, Aurélien Chick, Morgane Heng, Grégory Operto, Pierre Fillard

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Enhancing driver emotion recognition through deep ensemble classification by Faizan Zaman, Zhigang Xu, Adil Hussain, Anees Ullah, Khalid Zaman

“…This study proposes a comprehensive facial recognition model for drivers that uses a unified architecture comprising a convolutional neural network (CNN), a recurrent neural network (RNN), and a multilayer perceptron (MLP) classification model. Initially, a faster region-based convolutional neural network (R-CNN) was employed for accurate and efficient facial detection of drivers in live and recorded videos. …”
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Time series analysis of energy usage patterns by Tanzania large power users by Diana Rwegasira, Edward Ngailo, Elimboto Yohana, Noel Masasi

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