A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance by Soumya Basu, Subhra Chakraborty

“…Gaps in the existing diagnostic methods, algorithms, and operational costs were also reviewed. …”
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Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

“…Accurately perceiving spatial distribution patterns, detecting dynamic evolution characteristics, and issuing early warnings set higher standards for indoor safety and protection efforts. …”
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Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package. by M J Pohl, L Lehnert, B Thies, K Seeger, M B Berdugo, S R Gradstein, M Y Bader, J Bendix

“…From a certain level of mass the cold air starts to flow downslope towards the valley centers leading to temperature inversions. …”
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning by Xueshen Li, Yu Gan, David Duan, Xiao Yang

“…We have achieved high accuracy (0.8882), F1 (0.8192), and AUC scores (0.9400) for detecting human gastric peristalsis, and low error rate (8.36%) in measuring peristalsis periods from the clinical dataset. …”
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RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? by Prajwalita Saikia, Anand Jee, Keshav Singh, Cunhua Pan, Wan-Jen Huang, Theodoros A. Tsiftsis

“…To address the non-convexity, we propose a low-complexity alternating optimization (AO) algorithm. …”
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Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies by Yero S. Ndiaye, Yero S. Ndiaye, Peter Cramton, Peter Cramton, Chavdar Chernev, Chavdar Chernev, Axel Ockenfels, Axel Ockenfels, Tobias Schwarz

“…AI did better than the median radiologist overall in low- and high-ambiguity cases. In high-ambiguity cases, AI's accuracy remained high, though it was less effective at detecting abnormalities but better at identifying normal findings. …”
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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy by Jing Zhang, Lulu Cheng, Shan Jiang, Duosheng Zhu

“…In addition, seven key genes, including PDK4, S100A8, HTRA1, CHI3L1, WT1, CDKN1B, and EGF, were screened by machine learning algorithm. Most of these genes exhibited low expression in renal tissue of DN patients and positive correlation with neutrophils, and their expressions were verified in an external dataset cell model. …”
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Comparative analysis of antibodies and lymphocytes in pulmonary tuberculosis patients with negative and positive cultures by Fernando-Renato Cázares-Sosa, Alejandro Hernández-Solís, Atenea-Estela Andrés-Dionicio, Heliodora González-González, Miguel Ibáñez-Hernández, Raúl Cicero-Sabido, Herón Huerta, Raquel Tapia-Romero, Jorge-Luis de-la-Rosa-Arana

“…The numbers of CD4, CD8 and CD19 lymphocytes were determined by flow cytometry. Levels of IgA and IgG to M. tuberculosis were measured by ELISA. …”
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Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

“…In such a formulation, orthogonal Bessel functions are utilized to represent different gestures and used as the target for the adaptation algorithm. This method aims at detecting and evaluating the prolonged motor movements as well as identifying highly complex sub-gestures. …”
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Automated pavement marking integrity assessment using a UAV platform – a test case of public parking by Payam Rahnamayiezekavat, Di Wang, Jian Chai, Sungkon Moon, Maria Rashidi, Xiangyu Wang

“…Given intensity differences between pixels of paintings and asphalt backgrounds, the pixels belonging to painting regions are classified using the K-mean clustering algorithm. After detecting all parking lines from images, the Otsu method was employed to determine the threshold of 0.9 as the quantitative indicator of painting quality. …”
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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…The system, characterised using ideal gratings and benchmarked against the event camera motion segmentation dataset, reaches a mean IoU of 82.2% and a mean structural similarity index of 96% in multi-object motion segmentation. Additionally, the detection of salient objects reaches an accuracy of 88.8% in office scenarios and 89.8% in challenging indoor and outdoor low-light conditions, as evaluated on the event-assisted low-light video object segmentation dataset. …”
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Improving the continuous photogrammetric monitoring system by M. A. Núñez-Andrés, A. Prades-Valls

“…These changes in the appearance of the rockfall decrease the sensitivity of the photographic system to the detection of premonitory movements or low-volume rockfalls. …”
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Diagnostic characteristics of Xpert MTB/RIF assay for the diagnosis of tuberculous meningitis and rifampicin resistance in Southern Brazil by Sergio Monteiro de Almeida, Gislene Maria Botão Kussen, Laura Cogo, José Henrique Carvalho, Keite Nogueira

“…Molecular diagnostic tools are necessary for TBM, particularly in low- and middle-income countries. Objectives: We aimed to calculate the diagnostics characteristics of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis in the cerebrospinal fluid (CSF) and the frequency of rifampicin (RIF)-resistance in the CSF samples. …”
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Isolated fiber-optic transmission of IGBT UCE signals for precise HV switching analysis by Sylwester Bułka

“…The architecture employs analog signal transmission using modulated laser diodes and fiber-optic links, with each IGBT monitored by a dedicated optical transmitter (HiBox) and a ground-referenced receiver (LowBox). The solution enables broadband observation of dynamic UCE(t) waveforms with a bandwidth from DC to at least 50 MHz, supporting precise analysis of switching events, detection of anomalies, and implementation of advanced timing correction algorithms. …”
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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

“…This specific property of the slot waveguide provides interaction between active material and electric field, which led to many interesting applications, such as optical amplification, optical switching, and optical detection in integrated photonics. In the present work, we combine machine learning (ML) algorithms and finite element simulation to predict the power confinement ( $$\hbox {P}_{conf}$$ ) and mode effective index ( $$\hbox {n}_{eff}$$ ) of slot waveguides with respect to geometric parameters such as gap, slab width, and slab height. …”
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Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…Prospective research could investigate this further by applying our algorithms to soon-available high-resolution observations of the flow. …”
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Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching by Jennifer Leahy, Shabnam Jabari, Derek Lichti, Abbas Salehitangrizi

“…Registering light detection and ranging (LiDAR) data with optical camera images enhances spatial awareness in autonomous driving, robotics, and geographic information systems. …”
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A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

“…Training and validation of algorithms for cancer detection and grading were completed with three large datasets containing a total of 580 whole-mount prostate slides from 191 RP patients at two centers and 6218 annotated needle biopsy slides from the publicly available Prostate Cancer Grading Assessment dataset. …”
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Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla

“…This study introduces a novel approach to these changes by integrating Coupled Non-negative Matrix Factorization (CNMF) image fusion with an automatic pixel purification algorithm. By fusing low-resolution hyperspectral (30m) with high-resolution panchromatic (5m) PRISMA imagery, we achieved enhanced spatial resolution, crucial for accurate land use and land cover (LULC) classification. …”
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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…In addition, it is suitable for handling high-dimensional input data and produces efficient results with low computational cost. We evaluated the efficiency and performance of the ML algorithms using a set of metrics to measure their ability to accurately predict the HFF slope within the data set. …”
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