Artificial plasticenta: how polystyrene nanoplastics affect in-vitro cultured human trophoblast cells by Antonio Ragusa, Loredana Cristiano, Pierluigi Di Vinci, Giuseppe Familiari, Stefania Annarita Nottola, Guido Macchiarelli, Alessandro Svelato, Caterina De Luca, Denise Rinaldo, Isabella Neri, Fabio Facchinetti

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Prediction of Complications in Gunshot Wounds of the Pelvis in Women Received in Armed Conflict by M. A. Polidanov, V. V. Maslyakov, M. A. Barulina, S. V. Kapralov, A. V. Parshin, S. E. Uryadov, K. A. Volkov, D. T. Tashukhozhaeva

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A systematic review on environmental DNA (eDNA) Science: An eco-friendly survey method for conservation and restoration of fragile ecosystems by Ashish Sahu, Mahender Singh, Adnan Amin, Monisa Mehboob Malik, Shariq Nazir Qadri, Adnan Abubakr, S.Surya Teja, Shabir Ahmad Dar, Ishtiyaq Ahmad

“…Environmental DNA (eDNA) has emerged as a novel powerful tool for detecting and quantifying the presence or absence of species through genetic traces left in the environment. …”
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Diagnostic Accuracy of p16INK4a/Ki-67 Dual Immunostaining for Detection of High-Grade Cervical Intraepithelial Neoplasia in Women Involved in Cervical Cancer Screening in Georgia by Sopio Kakaliashvili-Dzagnidze, Omar Khardzeishvili, Sergo Tabagari

“…Furthermore, these findings emphasize the need to enhance support for preventive programs for cervical cancer in Georgia.…”
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Diagnostic accuracy of Fatty Liver Index (FLI) for detecting Metabolic Associated Fatty Liver Disease (MAFLD) in adults attending a tertiary care hospital, a cross-sectional study by Roshni Vamja, Yogesh M, Vijay Vala, Arya Ramachandran, Jay Nagda

“…These findings emphasize the need for larger population-based studies and the implementation of regular MAFLD screening programs in high-risk groups.…”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Although deep learning technologies have made notable progress in enhancing detection automation, several challenges remain, including insufficient detection accuracy, poor adaptability, and a lack of precise localization capabilities. …”
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Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIF... by Aris Papageorghiou, Aris T Papageorghiou, David Black, Lawrence Impey, Rachel Craik, Alison Noble, Rahul Ahuja, Christina Aye, Christos Ioannou, Beverly Tsai-Goodman, Kevin Roman, Anupama Nair, Jessica Farmer, J Alison Noble, Makrina Savvidou, Bernadette Brent, Julene Carvalho, Olga Patey, Netzahualcoyotl Hernandez-Cruz, Elena D’Alberti, Bojana Salovic, Theophilus Adu-Bredu, Ilaria Bo, Angelo Cavallaro, FabricioDa SivaCosta, Emma Eccleston, Joanne Everingham, CristianeDe FreitasPaganoti, Eleni Fotaki, Tyrrell Hatch, Joanna Kellett, Karina Lopes, Sally Mahler, Risa Miyazaki Sankar, Divyanshu Mishra, Jennifer Norville, Olivia Nunn, Lola Oshodi, Stavros Polyviou, Lorjah Rajah, Daifenir Rodriguezde LaCruz, Katja Shipp, Bethany Shobbrook, Sophie Tooth, Dimuthu Weerasuriya, Qianye Yang, Yingyu Yang

“…However, there is a wide variation in reported fetal heart problem detection rates from 34% to 85%, with some low- and middle-income countries detecting as low as 9.3% of cases before birth. …”
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Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks by Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling

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Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models by Renato Melo, Rafaelle Finotti, António Guedes, Vítor Gonçalves, Andreia Meixedo, Diogo Ribeiro, Flávio Barbosa, Alexandre Cury

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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

“…The method is evaluated through numerical simulations with noise-contaminated data and experimental tests on a masonry arch bridge model subjected to progressive damage. The numerical study shows detection accuracy above 90% with one-class support vector machine (OCSVM) and correct localization across all damage scenarios. …”
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Prevalence and associated factors of mammography uptake among the women aged 45 years and above: policy implications from the longitudinal ageing study in India wave I survey by Priyanka Sharma, Dipak Das, Divya Khanna, Atul Budukh, Anita Khokhar, Satyajit Pradhan, Ajay Kumar Khanna, Pankaj Chaturvedi, Rajendra Badwe

“…Conclusions Low rates of mammography among women across the country, along with inter-state disparities, highlight inadequate coverage of early detection of breast cancer under National program. …”
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Self-checking principle and design of ternary Berger code by Zhang Sulan, Shen Yunfu

“…Abstract With the gradual maturity of the hardware and programming platform of Ternary optical computer (TOC), TOC gradually enters the practical application stage. …”
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Acoustic Emission-Based Method for IFSS Characterization in Single-Fiber Fragmentation Tests by Felipe Romero, Franco Méndez, Javiera González, Víctor Tuninetti, Carlos Medina, Meylí Valin, José Valin, Alexis Salas, Cristián Vicuña

“…The AE technique captures the energy released during fiber fragmentation, represented as AE bursts, whose accurate detection is crucial. A signal-processing approach based on progressive simplification enhances burst detection. …”
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Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain by Christopher Lee Colaw, Garrett Madison, Bill Tseng, Grayson Michael Griser, Gage Truelson, Adam Gallo, Yildirim Hurmuzlu

“…Common-place hardware and infrastructure, including cloud-based facility security cameras, cloud-based commercial virtual environments, a virtual reality (VR) headset, and artificial intelligence (AI) detection algorithms, have been connected via application programming interfaces (API) to enable a 24-h surveillance and feedback capability for a representative aerospace manufacturing cell. …”
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Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis by Suruthy Sivanathan, Ting Hu

“…This method may allow for an efficient and accelerated discovery of potential candidates for AML, a rapidly progressing disease.…”
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Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease by Rahul Kumar, Kyle Sporn, Aryan Borole, Akshay Khanna, Chirag Gowda, Phani Paladugu, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

“…By presenting a unified diagnostic pipeline, this article advances the future of early detection and personalized monitoring in joint degeneration.…”
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An Interdisciplinary Design Project for Undergraduate Engineering Training – Portable Real-Time Polymerase Chain Reaction System by Lanju Mei, Lei Zhang, Willie Brown, Xianfang Tan

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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…To address these limitations, we introduce the Attention-Enhanced Fire Recognition Network (AEFRN). This novel progressive attention-over-attention framework achieves state-of-the-art (SOTA) performance while maintaining computational efficiency. …”
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Water resource management in tourism hotspot: A cost-effective, semi-automatic method for monitoring the diffusion of residential swimming pools by Giuseppe Cillis, Rosa Coluzzi, Luca Salvati, Andrea Colantoni, Bogdana Nosava, Vito Imbrenda, Maria Lanfredi

“…In spite of the intrinsic simplicity, the method achieved change detection accuracy (OA = 93.4 % for 2010 and 91.1 % for 2018) comparable to that reported in the literature for more sophisticated methodologies, such as those AI-based. …”
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Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations by Hailu Xu, Pinchao Liu, Boyuan Guan, Qingyang Wang, Dilma Da Silva, Liting Hu

“…The key insight in our approach is to amplify the effectiveness of state-of-the-art techniques to detect inappropriate posts by enabling the efficient large-scale propagation of detection information across domains. …”
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