Microlensing Events in Five Years of Photometry from the Zwicky Transient Facility by Ruocheng Zhai, Antonio C. Rodriguez, Shude Mao, Casey Y. Lam, Eric C. Bellm, Josiah Purdum, Frank J. Masci, Avery Wold

“…In the event selection, we use the efficient EventFinder algorithm to detect microlensing signals, which could be used for large data sets such as future ZTF data releases or data from the Rubin Observatory Legacy Survey of Space and Time. …”
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An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery by Menglei Liang, Ying Zhang, Liangfu Chen, Jinhua Tao, Meng Fan, Chao Yu

“…The traditional matched filter (MF) algorithm, commonly used to derive methane enhancement from hyperspectral satellite data, is limited by its tendency to underestimate methane plumes, especially at higher concentrations. …”
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Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis by Hang Chen, Biao Wu, Biao Wu, Kunyu Guan, Liang Chen, Kangjie Chai, Maoji Ying, Dazhi Li, Weicheng Zhao

“…Additionally, the ssGSEA algorithm further validated the association of these diagnostic genes with various immune cells. …”
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Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model by Lufeng Chen, Qingquan Chen, Zhimin Huang, Ling Yao, Jiajing Zhuang, Haibin Lu, Yifu Zeng, Jimin Fan, Ailing Song, Yixiang Zhang

“…A total of eight significant predictors finally identified by the LASSO algorithm was incorporated into prediction models. …”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing by Rui Guo, Chunhong Duan, Mehdi Zarrei, Miriam S. Reuter, Rui Dong, Guangye Zhang, Xiaomeng Yang, Haiyang Zhang, Ying Wang, Stephen W. Scherer, Yi Liu, Zhongtao Gai

“…Trio-based WES should be part of the diagnostic algorithm.…”
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Accuracy Assessment of the Antarctic Digital Elevation Model Based on the ICESat-2 Elevation Data by Jie WANG, Zhiyu ZHANG, Yang JIANG, Pufan ZHAO, Songhua WU

“…However, conventional ground calibration methods face implementation challenges in extreme Antarctic environments. Spaceborne Light Detection And Ranging (LiDAR) effectively addresses this limitation by directly acquiring high-precision surface elevation data. …”
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Distributed Temperature/Vibration Fiber Optic Sensor With High Precision and Wide Bandwidth by Tao He, Yanli Ran, Tao Liu, Hao Li, Cunzheng Fan, Wei Zhou, Zhijun Yan, Deming Liu, Qizhen Sun

“…With the assistance of the coherent phase detection, a high precision measurement of phase can be achieved. …”
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Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis by Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas

“…Pancreatic ductal adenocarcinoma (PDAC) is associated with a poor prognosis, primarily due to late-stage detection. This underscores the critical need for informative biomarkers enabling earlier diagnosis and improved patient outcomes. …”
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Discrimination between sea ice and clouds over the Chukchi Sea via China’s ultraviolet–visible-infrared observations by Ziyi Suo, Yingcheng Lu, Lijian Shi, Bin Zou, Qing Wang, Ling Li, Jun Tang, Weimin Ju, Manchun Li

“…In comparison to the MODIS MOD29 sea ice product, which masks cloud pixels with brightness temperature (BT) differences, this algorithm can effectively reduce the misclassification resulting from surface temperature inversions in polar regions. …”
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Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting by Stefania Ronzoni, Shamim Rashid, Aimee Santoro, Elad Mei-Dan, Jon Barrett, Nanette Okun, Tianhua Huang

“…Screening performance, adjusted for low-dose acetylsalicylic acid use, showed a detection rate of 88.9–90% (FPR 13.0% and 12.7%) for preterm preeclampsia. …”
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Differentiation of multiple adrenal adenoma subtypes based on a radiomics and clinico-radiological model: a dual-center study by Xinzhang Zhang, Yapeng Si, Xin Shi, Yiwen Zhang, Liuyang Yang, Junfeng Yang, Ye Zhang, Jinjun Leng, Pingping Hu, Hao Liu, Jiaqi Chen, Wenliang Li, Wei Song, Jianping Zhu, Maolin Yang, Wei Li, Junfeng Wang

“…Abstract Background The prevalence and detection rates of adrenal incidentalomas have been on the rise globally, with more than 90% of these lesions pathologically classified as adrenocortical adenomas. …”
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Mosquito breeding water parameters are important determinants for Microsporidia MB in the aquatic stages of Anopheles species by Esinam A. Akorli, Nana Efua Andoh, Richardson K. Egyirifa, Christopher Dorcoo, Sampson Otoo, Seraphim N. A. Tetteh, Reuben Mwimson Pul, Derrick B. Sackitey, Stephen K. D. Oware, Samuel K. Dadzie, Jewelna Akorli

“…Methods A non-column extraction method was used to extract DNA from the abdomens of 4255 adult Anopheles mosquitoes that emerged from larvae and pupae collected between August and October of 2021 and 2022. Detection of Microsporidia MB was achieved using quantitative PCR (qPCR), while mosquito species were molecularly identified using short interspersed nuclear elements (SINE), restriction fragment length polymorphism (RFLP) methods, and the ANOSPP algorithm. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…Brightfield images were used to train a YOLOv8 object detection network, achieving a mAP50 score of 86% for identifying single cells, clusters, and colonies, and 97% accuracy for Z-stack colony identification with a multi-object tracking algorithm. …”
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APLOSE: A web-based annotation platform for underwater passive acoustic monitoring by Gabriel Dubus, Maëlle Torterotot, Julie Béesau, Mathieu Dupont, Anatole Gros-Martial, Mathilde Michel, Elodie Morin, Paul Nguyen Hong Duc, Pierre-Yves Raumer, Olivier Adam, Flore Samaran, Dorian Cazau

“…Emerging detection and classification algorithms based on deep learning models require manageable large-scale manual annotations of ground truth data. …”
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Hybrid beamforming for ISAC based on mmWave cell-free MIMO by DUO Lin, YANG Xin, REN Yong, XU Boyu

“…Two kinds of power constraints are considered in the study, and the improved orthogonal matching pursuit algorithm and the Riemann conjugate gradient algorithm are used for optimization. …”
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Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility S... by William E Janes, Noah Marchal, Xing Song, Mihail Popescu, Abu Saleh Mohammad Mosa, Juliana H Earwood, Vovanti Jones, Marjorie Skubic

“…ResultsAs of this writing (fall 2024), machine learning algorithms are currently in development to predict those health outcomes from sensor-detected changes in health status. …”
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Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data by Yasir Hassan Ali, Roslan Abd Rahman, Raja Ishak Raja Hamzah

“…The approach is using an algorithm to monitor the oil film thickness and to detect which lubrication regime the gearbox is running either hydrodynamic, elastohydrodynamic, or boundary. …”
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Endovideosurgical aspects of treatment of bilateral inguinal hernias by V. P. Zemlyanoy, B. V. Sigua, D. S. Syomin, E. P. Sopiya

“…OBJECTIVE. The article detected risk factors of supravesial hernia formation and its recurrence in patients with bilateral inguinal hernias after laparoscopic herniaplasty. …”
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Mammography In Breast Cancer Screening – Current Knowledge, Challenges, The Impact of Artificial Intelligence, And Effectiveness With A Focus On Poland by Maciej Pachana, Marcin Piersiak, Hubert Sawczuk, Anna Tomasiewicz, Jan Zabierowski, Piotr Kukuła, Julia Marschollek, Maciej Ziomek

“… Mammography is a critical tool in breast cancer screening and secondary prevention, enabling early detection and significantly reducing breast cancer mortality. …”
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Vision-based autonomous object tracking using multi-rotor UAV by Talha Farooq Hashmi, Abdullah Rashid, Waleed Khan, Benish Sharfeen Khan

“…The profile of objects, frame rate of images, and unexpected motion make it hard to detect and track the object for a long period. To cater to this, we came up with an algorithm that was developed for long-term tracking which makes use of Discriminative correlation filter with Channel and Spatial Reliability. …”
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