PROMISE (Program Refinements to Optimize Model Impact and Scalability based on Evidence): a cluster-randomised, stepped-wedge trial assessing effectiveness of the revised versus or... by Katherine Penrose, Denis Nash, Mary K Irvine, Bruce Levin, McKaylee M Robertson, Jennifer Carmona, Graham Harriman, Sarah L Braunstein

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Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. <i>Energies</i> 2021, <i>14</i>, 8029 by Rehan Akram, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh, Sheraz Khan, Muhammad Shiraz, Kashif Rizwan

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SEED (Stoke Disease Early Detection Application) - Rancang Bangun Aplikasi Mobile Berbasis Android untuk Mendiagnosis Gejala Dini Penyakit Stroke Menggunakan K-Nearest Neighbor (K-... by Dedin Anike Putra, Muhammad Dimas Setiawan Sanapiah, Azifatul Istna Hanifah, Tri Afirianto

“…SEED (Stroke Disease Early Detection Application) is an android based application that can measure the risk level of stroke disease. …”
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YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation by Madalena de Oliveira Barbosa, Fernanda Pereira Leite Aguiar, Suely dos Santos Sousa, Luana dos Santos Cordeiro, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

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Triple-mode point-of-care diagnostics for high-risk human papillomavirus in urine by Duc Anh Thai, Jing Liu, Angel Gutierrez Ruiz, Yuqian Zhang, Marina Walther-Antonio, Yuguang Liu

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Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

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Significance of initial clinical laboratory parameters as prognostic factors in patients with COVID 19 by Popovska-Jovičić Biljana, Raković Ivana, Pavković Aleksandar, Marković Vladan, Petrović Sara, Gavrilović Jagoda, Čanović Predrag, Radojević-Marjanović Ružica, Folić Marko

“…The study showed that routine, clinical laboratory parameters can be important in the early detection of patients with a potentially severe clinical picture and fatal outcomes. …”
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Performance Evaluation of Robotic Harvester with Integrated Real-Time Perception and Path Planning for Dwarf Hedge-Planted Apple Orchard by Tantan Jin, Xiongzhe Han, Pingan Wang, Yang Lyu, Eunha Chang, Haetnim Jeong, Lirong Xiang

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Association Between Diabetes and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis of Observational Studies by Ana Paula Pagano, Bruna Ramos da Silva, Flávio Teixeira Vieira, Luiz Fernando Meira Filho, Sarah A. Purcell, John D. Lewis, Michelle L. Mackenzie, Paula J. Robson, Jennifer E. Vena, Flávia Moraes Silva, Carla M. Prado

Large deflection angle resonant 1D scanning micromirror fabricated with multi jet fusion 3D printed parts by Wookyung Kim, Jeong-Yeon Hwang, Chang-Hyeon Ji

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Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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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 Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data by Adriano Liso, Cosimo Patruno, Angelo Cardellicchio, Pierfrancesco Ardino, Nicola Gallo, Giuseppe del Prete, Valerio Dentico, Veronica Vespini, Sara Coppola, Pietro Ferraro, Vito Reno

“…Here, we present a deep learning-based method for the non-destructive detection of defects in composite samples based on a laser ultrasonic system (LUT). …”
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Exoplanets in the Antarctic Sky. V. The Second Data Release of AST3-II/CHESPA and Newly Found Variables within the Southern Continuous Viewing Zone of TESS by Bixuan Zhao, Hui Zhang, Michael C. B. Ashley, Jiapeng Zhu, Huigen Liu, Zhouyi Yu, Dan Zhou, Bin Ma, Jeremy Mould, Robert A Wittenmyer, Xiangyan Yuan, Zhengyang Li, Xiaoyan Li, Jianning Fu, Jilin Zhou, Lifan Wang

“…Its cold, dry, and stable atmosphere allows continuous observation for over 40 days during polar winter, ideal for detecting short-period transiting exoplanets. Since 2008, the Antarctic Survey Telescopes (AST3) project has pursued the CHESPA program to search for exoplanet candidates. …”
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Emerging Tumor Biomarkers in Pancreatic Cancer and Their Clinical Implications by Dimitrios Stefanoudakis, Maximos Frountzas, Nikolaos V. Michalopoulos, Dimitrios Schizas, Dimitrios Theodorou, Konstantinos G. Toutouzas

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THE ROLE OF HUMAN PAPILLOMA VIRUS (HPV) INFECTION IN THE DEVELOPMENT OF ORAL SQUAMOUS CELL CARCINOMA - LITERATURE REVIEW by Elitsa Deliverska, Milena Ivanova-Shivarova, Stanislav Yordanov, Svetoslav Slavkov, Daniel Markov, Viktor Lenkov, Vessela Raykova, Deyan Neychev

“…., while in people ≤ 40 years old, HPV is indicated as a risk factor for the occurrence and progression of OSCC. Aim We aimed to investigate the relationship between HPV infection and the development of oral squamous cell carcinoma in more depth in the current literature as well as the different methods for the detection of HPV subtypes, which can be useful for treatment plan and prognosis. …”
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Evaluating the implementation of colorectal cancer screening practices at King Abdul-Aziz Medical City, Riyadh by Maram S. Al Turki, Adel F. Yasky, Ghadi Alotaibi, Majed N. Alosaimi

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Multilingual Investigation of Cross-Project Code Clones in Open-Source Software for Internet of Things Systems by Wenqing Zhu, Norihiro Yoshida, Yutaka Matsubara, Hiroaki Takada

“…We used MSCCD, a multilingual code clone detector to detect Type-3 code clones for each group. The results show that cross-project clones exist in more than 30% of the projects, particularly in communication-related functionalities. …”
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Correcting for measurement errors in a long‐term aerial survey with auxiliary photographic data by Jamie L. Brusa, Matthew T. Farr, Joseph Evenson, Emily Silverman, Bryan Murphie, Thomas A. Cyra, Heather J. Tschaekofske, Kyle A. Spragens, Sarah J. Converse

“…Ignoring measurement error, such as partial availability, imperfect detection, and species misidentification, can lead to mischaracterizations of population states and processes. …”
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Lightweight defocus deblurring network for curved-tunnel line scanning using wide-angle lenses by Shaojie Qin, Taiyue Qi, Xiaodong Huang, Xiao Liang

“…Our method employs an innovative progressive structure that balances network depth and feature breadth to simultaneously achieve good performance and short inference time. …”
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