Quantifying Plasmodium falciparum infections clustering within households to inform household-based intervention strategies for malaria control programs: An observational study and... by Gillian Stresman, Charlie Whittaker, Hannah C Slater, Teun Bousema, Jackie Cook

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Correction: Diagnostic accuracy of nanopore sequencing for detecting Mycobacterium tuberculosis and drug-resistant strains: a systematic review and meta-analysis by Timothy Hudson David Culasino Carandang, Dianne Jaula Cunanan, Gail S. Co, John David Pilapil, Juan Ignacio Garcia, Blanca I. Restrepo, Marcel Yotebieng, Jordi B. Torrelles, Kin Israel Notarte

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How Sensitive Are the Free AI-detector Tools in Detecting AI-generated Texts? A Comparison of Popular AI-detector Tools by Sujita Kumar Kar, Teena Bansal, Sumit Modi, Amit Singh

“…We aimed to investigate the sensitivity of the free versions of popular AI-detection software programs in detecting AI-generated text. …”
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Myopia Detection from Eye Fundus Images: New Screening Method Based on You Only Look Once Version 8 by Nicola Rizzieri, Luca Dall’Asta, Maris Ozoliņš

“…Advancements in technology and artificial intelligence (AI) applications in the medical field are improving the speed and efficiency of patient care programs. In an effort to provide a new, objective AI-based method for early myopia detection, we developed an algorithm based on the YOLOv8 convolutional neural network, capable of classifying eye fundus images from myopic and non-myopic patients. …”
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control. by Higor Souza Cunha, Brenda Santana Sclauser, Pedro Fonseca Wildemberg, Eduardo Augusto Militão Fernandes, Jefersson Alex Dos Santos, Mariana de Oliveira Lage, Camila Lorenz, Gerson Laurindo Barbosa, José Alberto Quintanilha, Francisco Chiaravalloti-Neto

“…Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through mosquitoes. This study aims to detect water tanks installed on rooftops and swimming pools in digital images to identify and classify areas based on the socioeconomic index, in order to assist public health programs in the control of diseases linked to the Aedes aegypti mosquito. …”
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Fatores que interferem na adesão da mulher idosa a programas de prevenção do câncer ginecológico [Factors affecting adhesion by older women to gynecological cancer prevention progr... by Aline Fatima Correia Batista, Célia Pereira Caldas

“…Conclusion: health education to break down health professionals’ prejudice towards aging will help to ensure that older women adhere to cancer prevention programs and facilitate the prevention, early detection and treatment of oncological diseases. …”
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Effects of Self-Assisted Manual Therapy Combined with a High-Intensity Walking Program on Musculoskeletal Pain, Functionality, and Posture in Older Adults: A Multicentre Randomized... by Gemma Victoria Espí-López, Laura Fuentes-Aparicio, Rocío Cogollos-de-la-Peña, Lucas Monzani, Elena Marques-Sule, Dagmar Pavlu, Anna Arnal-Gómez

“…This study aims to analyse the effect of a combined protocol of self-assisted manual therapy and high-intensity walking on musculoskeletal back pain, functionality, and shoulder posture in older adults, and to establish the short- and medium-term effects of this program. Methods: A multicentre, double-blind, randomized trial was conducted on older adults. …”
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Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images by Prosper Oyibo, Brice Meulah, Tope Agbana, Lisette van Lieshout, Wellington Oyibo, Gleb Vdovin, Jan-Carel Diehl

“…Our system highlights the potential of the Schistoscope, enhanced with artificial intelligence, for detecting STH and S. mansoni infections in remote, resource-limited settings and for supporting the monitoring and evaluation of neglected tropical disease (NTD) control programs.…”
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C2IDTL: Novel Click to Image Conversion Approach for Deep Transfer Learning in Click Fraud Detection on Digital Platforms by Channa Fernando, Chamila Walgampaya, Janaka Alawatugoda

“…C2IDTL enhances the fraud detection by exceeding 91.18% accuracy, 90.90% F1 score and 96.45% AUC based on the k-fold cross validation performed on all three datasets. …”
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Development and application of a quantitative polymerase chain reaction assay for the detection and genotyping of bovine leukemia virus in cattle from Kazakhstan by Alexandr Ostrovskii, Alexandr Shevtsov, Marat Kuibagarov, Dinara Kamalova, Ayan Dauletov, Aralbek Rsaliyev, Yergali Abduraimov, Kassym Mukanov

“…This molecular surveillance provides essential baseline data for national BLV eradication programs and contributes to global BLV epidemiological mapping.…”
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Comparative evaluation of three polymerase chain reaction primer sets for accurate molecular detection of Trypanosoma lewisi in wild rodents in Indonesia by Aditya Yudhana, Gusti Ayu Illiyin Putri Santosa, April Hari Wardhana, Frenky Laksana Putra, Ryanka Edila, Dyah Haryuningtyas Sawitri, Ratih Novita Praja, Muhammad Aqil Kurnianto, Aldi Gusnizar Rizaldy Tanjung, Marc Desquesnes, Makoto Matsubayashi

“…CATLew F/CATLew R detected 29 positives with 96.43% sensitivity and 97.22% specificity, whereas TC121/TC122 detected 21 positives, yielding 67.86% sensitivity and 97.22% specificity. …”
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An evaluation of hunter surveys to monitor relative abundance of bobcats by Tyler J. Mahard, John A. Litvaitis, Patrick Tate, Gregory C. Reed, Derek J. A. Broman

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P560: Implementing homocysteine into first-tier mass spectrometry tests in newborn screening for detection of homocystinurias in New York State by Jing Xiao, C. Austin Pickens, Konstantinos Petritis, Matthew Wojcik, Carlos Saavedra-Matiz, Joseph Orsini, Michele Caggana

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Colorimetric Reverse Transcription Loop-Mediated Isothermal Amplification with Xylenol Orange Targeting Nucleocapsid Gene for Detection of Feline Coronavirus Infection by Kotchaporn Khumtong, Witsanu Rapichai, Wichayet Saejung, Piyamat Khamsingnok, Nianrawan Meecharoen, Siriluk Ratanabunyong, Hieu Van Dong, Supansa Tuanthap, Amonpun Rattanasrisomporn, Kiattawee Choowongkomon, Oumaporn Rungsuriyawiboon, Jatuporn Rattanasrisomporn

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Early Detection for Determinant Factor of National Health Insurance Membership for Workers in Central Java Using C4.5 Algorithm by Aprianti Aprianti, Sifai Izzatul Alifah, Nurjanah Nurjanah, Ratna Wulan Widya, Ratnawati Juli, Ahsan Abdillah

“…At the same time, the AUC curve has a value of 0.941, which, according to Gorunescu, is included in the Superior Classification. The program is expected to prioritize fishermen groups as members of the NHI program.…”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

“…This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. …”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. …”
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Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture by Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz, Jorge Luis García Alcaraz, Emilio Jiménez Macías

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Comprehensive surveillance and molecular detection of the Nipah virus in fruit bats (Pteropus vampyrus) across Indonesia: Insights from 2023 to 2024 by Reviany V. Nidom, Setyarina Indrasari, Dhani Prakoso, Astria N. Nidom, Balqis Afifah

“…The findings emphasize the urgent need for a continuous, nationally coordinated surveillance program integrating wildlife, livestock, and human health sectors. …”
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TextNeX: Text Network of eXperts for Robust Text Classification—Case Study on Machine-Generated-Text Detection by Emmanuel Pintelas, Athanasios Koursaris, Ioannis E. Livieris, Vasilis Tampakas

“…Efficient and accurate text classification is essential for a wide range of natural language processing applications, including sentiment analysis, spam detection and machine-generated text identification. …”
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