Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…This data allowed for dynamic adjustments to be made to the spraying system, ensuring that pesticides were delivered with high precision. …”
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Human immunodeficiency virus prevention and testing strategies among men who have sex with men in the UK: the PANTHEON research programme including the SELPHI RCT by Janey Sewell, T Charles Witzel, David Dunn, Fiona Lampe, Fiona Burns, Peter Weatherburn, Sheena McCormack, Leanne McCabe, Alec Miners, Valentina Cambiano, Roger Pebody, Roy Trevelion, Nadia Hanum, Andrew Phillips, Alison Rodger

“…Setting Internet-based study conducted in England and Wales. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…However, the cloud radar detects composite information about multiphase particles and lacks temperature data within cloud layers, leading to significant aliasing of phase state characteristics of cloud particles. …”
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Information from pharmaceutical companies and the quality, quantity, and cost of physicians' prescribing: a systematic review. by Geoffrey K Spurling, Peter R Mansfield, Brett D Montgomery, Joel Lexchin, Jenny Doust, Noordin Othman, Agnes I Vitry

“…Of the set of studies examining prescribing quality outcomes, five found associations between exposure to pharmaceutical company information and lower quality prescribing, four did not detect an association, and one found associations with lower and higher quality prescribing. 38 included studies found associations between exposure and higher frequency of prescribing and 13 did not detect an association. …”
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Attribution of the Increased Intensity of Upper‐Level Hadley Circulation Under Climate Change by Bo Sun, Yi Zheng, Wanling Li, Siyu Zhou, Jiarui Cai, Huixin Li, Shengping He, Huijun Wang

“…An increasing (decreasing) trend of UP‐NH‐HCI (UP‐SH‐HCI) is observed during 1979‐present using five reanalysis data sets, which denotes increased intensity of upper‐level Hadley circulation in Northern Hemisphere (Southern Hemisphere). …”
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Enhanced surface deformation monitoring in open-pit mines via dynamic filtering and multiscale adaptive interpolation of D-InSAR/offset tracking fusion by Yuejuan Chen, Dejun Zhao, Pingping Huang, Bo Yin, Zhiqi Gao, Weixian Tan, Yaolong Qi, Wei Xu

“…This approach shows strong potential for broader application in complex geological settings and multisource SAR monitoring.…”
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A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions by Raman Kumar, Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanović

“…ML models hold considerable potential by utilizing large-scale healthcare data to enhance predictive diagnostics. To systematically investigate this field, the literature is organized into five thematic categories such as “Heart Disease Detection and Diagnostics,” “Machine Learning Models and Algorithms for Healthcare,” “Feature Engineering and Optimization Techniques,” “Emerging Technologies in Healthcare,” and “Applications of AI Across Diseases and Conditions.” …”
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Adapting Young Adults’ In-Shoe Motion Sensor Gait Models for Knee Evaluation in Older Adults: A Study on Osteoarthritis and Healthy Knees by Chenhui Huang, Kenichiro Fukushi, Haruki Yaguchi, Keita Honda, Yusuke Sekiguchi, Zhenwei Wang, Yoshitaka Nozaki, Kentaro Nakahara, Satoru Ebihara, Shin-Ichi Izumi

“…Traditionally, assessing knee health requires complex gait analysis in clinical settings, which limits opportunities for convenient and continuous monitoring. …”
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SARS-CoV-2 variants and genomic surveillance in the low-resource north-west region of Pakistan by Muhammad Waseem Shah, Muhammad Iqbal Qureshi, Ishaq Nasib Khan, Muhammad Zakria, Shahzad Ahmad, Tariq Rahim, Nasir Ahmad, Hafsah Muhammad, Sami Siraj, Asif Ali, Saeed Ahmed, Steve Harakeh, Yasar Mehmood Yousafzai

“…Our method provides a rapid and cost-effective detection assay for SARS-CoV-2 in a resource-constrained setting.…”
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<i>Naegleria fowleri:</i> Portrait of a Cerebral Killer by Nguyen The Nguyen Phung, Huong Thien Pham, Thuc Thanh Tran, Vu Hoang Dinh, Nhut Minh Tran, Nuong Ai Nguyen Tran, Minh Quang Ngoc Ngo, Huong Thanh Thi Nguyen, Duy Khanh Tran, Thao Kieu Thi Le, Camelia Quek, Van Hung Pham, Son Truong Pham

“…MPL-rPCR enabled timely detection of the pathogen and demonstrated its utility in resource-limited settings. …”
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Identification of 30,000 White Dwarf–Main-sequence Binary Candidates from Gaia DR3 BP/RP (XP) Low-resolution Spectra by Jiadong Li, Yuan-Sen Ting, Hans-Walter Rix, Gregory M. Green, David W. Hogg, Juan-Juan Ren, Johanna Müller-Horn, Rhys Seeburger

“…Our all-sky catalog of WD–MS binaries expands the available data set for studying binary evolution and WD physics and sheds light on the formation of WD–MS binaries.…”
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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…These approaches are hardly comparable as all models are designed, trained and evaluated on proprietary/silo-data sets. Methods With this study we propose a sensor fusion approach for assessing fidgety movements (FMs). …”
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Forecasting the incidence of acute lymphoid leukaemia in males and females in the Saudi population from 2020 to 2029: application of ARIMA models and public health implications by Saeed M. Kabrah, Budhi Handoko, Yasir Aljohani, Abdulrahman Mujalli, Mohammad Alobaidy, Arwa F. Flemban, Wesam F. Farrash, Abdulaziz H. Alharbi, M. S. J. Alzahrani

“…Despite advances in treatment, there is a lack of localized, sex-specific forecasts to guide public health interventions.Objective This study aims to forecast the future incidence of acute lymphoid leukaemia in males and females using ARIMA models.Methods Saudi national cancer registries data from 1990 to 2019 were used. The dataset was divided into training (80%) and testing (20%) sets. …”
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A bibliometric analysis of challenges and advancements in the integrated application of nanoparticles and chimeric antigen receptor T cell therapy by Yang Gao, Yang Zhou, Xiaolin He, Hongwei Lin, Keying Fang, Qijun Hou, Huafang Wang, Honghao Zhang, Yixi Zhang, Yuhua Li

“…Citation bursts and clustering analyses of references and keywords were conducted using CiteSpace with default detection settings. Our analysis revealed major research hotspots, especially the optimization of CAR-T cell manufacturing processes and strategies to overcome barriers within the immunosuppressive tumor microenvironment. …”
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Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care by Leonard Knoedler, Christian Festbaum, Jillian Dean, Helena Baecher, Grégoire de Lambertye, Maximilian Maul, Thomas Schaschinger, Tobias Niederegger, Alexandra Scheiflinger, Michael Alfertshofer, Khalil Sherwani, Claudius Steffen, Max Heiland, Steffen Koerdt, Samuel Knoedler, Andreas Kehrer

“…The dataset was divided into training (285 images), validation (29 images), and test sets (71 images). The model was trained over 18 epochs. …”
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Bringing AI to Clinicians: Simplifying Pleural Effusion Cytology Diagnosis with User-Friendly Models by Enrico Giarnieri, Elisabetta Carico, Stefania Scarpino, Alberto Ricci, Pierdonato Bruno, Simone Scardapane, Daniele Giansanti

“…These technologies have the potential to enhance data interpretation and support more effective clinical treatment strategies in the era of precision medicine.…”
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Harnessing contactless monitoring technology for sows and piglets within farrowing pens: A critical review by Zheng He, Mahejabeen Hossain Nidhi, Zhaojin Guo, Li Lyu, Chuanyi Guo, Junhui Hou, Xiaoshuai Wang, Kai Liu

“…., farrowing prediction, lactation behavior analysis, crushing detection, and health indicator monitoring). Challenges related to data collection, annotation, model design, and deployment in commercial settings are also discussed. …”
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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images [version 2; peer review: 2... by Srikanth Prabhu, Vinod Nayak, Aparna Jayakala, Krishna Prakasha K, Gangothri Sanil

“…The effectiveness of these algorithms was tested and validated using challenging ND Twins and 3D TEC datasets, the most difficult data sets for 2D and 3D face recognition research at Notre Dame University. …”
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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…Traditional methods rely on supervised learning, which requires a large amount of annotated data. In this study, we explore an alternative approach using prompt engineering with the Segment Anything Model and its variants in a zero-shot setting. …”
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Predictive accuracy of ophthalmic artery Doppler for pre-eclampsia: a systematic review by Kwame Adu-Bonsaffoh, Sam Ali, Emmanuel Srofenyoh, Joseph Arkorful, Joyce Linda Browne, Kitty M W Bloemenkamp

“…One reviewer then extracted data using a standardised data extraction sheet, and any uncertainties were discussed with a second reviewer. …”
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