Whole-genome amplification as a tool to improve bacterial detection by PCR in microbiological samples after endodontic treatment by Gabriela Ceccon Chianca, Gabriela Ceccon Chianca, Caroline Corrêa Fendeler, Caroline Corrêa Fendeler, Sérgio Pinto Chaves Junior, Sérgio Pinto Chaves Junior, Gabriella Lorena Dias Pereira, Helvécio Cardoso Corrêa Póvoa, Helvécio Cardoso Corrêa Póvoa, Helvécio Cardoso Corrêa Póvoa, Lívia Azeredo Alves Antunes, Lívia Azeredo Alves Antunes, Lívia Azeredo Alves Antunes, Leonardo Santos Antunes, Leonardo Santos Antunes, Leonardo Santos Antunes, Natalia Lopes Pontes Póvoa Iorio, Natalia Lopes Pontes Póvoa Iorio, Natalia Lopes Pontes Póvoa Iorio

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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

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The Impact of Race, Education, Economic Vulnerability, and Stigma on Viral Load Detectability Among People Living with HIV in Brazil by Brandelli Costa A, Graeff Bins-Ely I, Penzato V, Vaitses Fontanari AM, Alckmin-Carvalho F, Pereira H, Welter Wendt G

“…Angelo Brandelli Costa,1,2 Isadora Graeff Bins-Ely,1 Valentina Penzato,2 Anna Martha Vaitses Fontanari,3 Felipe Alckmin-Carvalho,4 Henrique Pereira,4 Guilherme Welter Wendt5 1Graduate Program in Psychology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; 2Department of Psychological and Social Sciences, John Cabot University, Rome, Italy; 3Graduate Program in Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; 4Department of Psychology and Education, University Beira Interior, Covilhã, Portugal; 5Graduate Program in Applied Health Sciences, Western Paraná State University, Francisco Beltrão, Paraná, BrazilCorrespondence: Angelo Brandelli Costa, Pontifical Catholic University of Rio Grande do Sul, Av. …”
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A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems by Vinicius M. de Oliveira, Henrique M. de Oliveira, Gabriel M. Santos, Jhonatan Geremias, Eduardo K. Viegas

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Detection of paralytic shellfish poisoning (PSP) toxins using a colorimetric immunosensing tool for food safety control by Ambbar Aballay-González, Sandra Leonardo, Margarita Fernández-Tejedor, Maria Rambla-Alegre, Jorge Diogène, AhlamAl Kharusi, Maximiliano Figueroa, Allisson Astuya-Villalón, Mònica Campàs

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Detecting changes in large-scale metrics of climate in short integrations of a global storm-resolving model of the atmosphere by Ilai Guendelman, Timothy M Merlis, Kai-Yuan Cheng, Lucas M Harris, Christopher S Bretherton, Maximilien Bolot, Linjiong Zhou, Alex Kaltenbaugh, Spencer K Clark, Stephan Fueglistaler

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A ribodepletion and tagging protocol to multiplex samples for RNA-seq based virus detection: application to the cassava virome by Daniel H. Otron, Justin S. Pita, Murielle Hoareau, Fidèle Tiendrébéogo, Jean-Michel Lett, Pierre Lefeuvre

“…Nevertheless, the development of next generation sequencing (NGS) methods has revolutionized plant virus detection and identification. One NGS method that has been successfully used in virus detection and identification is ribodepleted RNA sequencing. …”
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Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images by Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni

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Enhancing Weather Monitoring for Agriculture with Deep Learning: Anomaly Detection in East Java Using LSTM Autoencoder and OCSVM by Maulana Ahsan Fadillah, Yenni Angraini, Rahma Anisa

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Inkjet-printed colorimetric indicators from the peels of red pitaya and Kyoho grape for the detection of food spoilage gases by Tianxi Gong, Xiaoyu Luo

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Spontaneously regressing pulmonary tuberculosis detected by computed tomography in a patient with positive interferon‐gamma release assay by Yuya Kimura, Hiroyuki Arai, Reo Tome, Kyohei Kaburaki, Shinji Sasada

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An efficient method for early Alzheimer’s disease detection based on MRI images using deep convolutional neural networks by Samia Dardouri

“…AD remains a global health challenge, requiring effective early detection strategies to prevent its progression and facilitate timely intervention. …”
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Unmanned Aerial Vehicle-Based RGB Imaging and Lightweight Deep Learning for Downy Mildew Detection in Kimchi Cabbage by Yang Lyu, Xiongzhe Han, Pingan Wang, Jae-Yeong Shin, Min-Woong Ju

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From prenatal detection to postnatal evaluation: a retrospective observational ultrasound study of patent urachus with allantoic cyst by Lanxin Du, Xinyue Jing, Ying Tang, Houqing Pang, Xiayu Yan, Lu Ye, Hong Luo

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Assessment of Serum Angiotensin Converting Enzyme 2 and Urine Albumin to Creatinine Ratio as Early Detection of Diabetic Nephropathy by Sarah sattar Jabar, Sanad Baqir Mahammed

“…From the current data, it can be concluded that ACR and ACE2 play a key protective role in preventing progressive renal damage, which is a good indicator for the early detection of DN. …”
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Protocol for detecting neuronal subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB by Jui-Yen Huang, Gautam Chauhan, Pei-Ying Chen, Esen Tuna, Hui-Chen Lu

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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

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Synthesis of Silver Nanoparticles and Gold Nanoparticles Used as Biosensors for the Detection of Human Serum Albumin-Diagnosed Kidney Disease by Tiarpa Thongwattana, Ronnakorn Chaiyo, Khanittha Ponsanti, Benchamaporn Tangnorawich, Patcharee Pratumpong, Surachet Toommee, Ratchapol Jenjob, Su-Geun Yang, Yardnapar Parcharoen, Sitakan Natphopsuk, Chiravoot Pechyen

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Detection of Escherichia coli Contamination using Most Probable Number (MPN) methods in Chicken Meats in Market of Surabaya by Dhandy Koesoemo Wardhana, Devi Ayu Safitri, Suwaibatul Annisa, Mustofa Helmi Effendi, Nenny Harijani

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A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

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