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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Research on Arc Fault Detection Based on Conditional Batch Normalization Convolutional Neural Network with Cost-Sensitive Multi-Feature Extraction by Xin Ning, Tianli Ding, Hongwei Zhu

“…Although existing studies have made progress in improving the accuracy of their detection, most methods have not proposed effective solutions that address the cost-sensitive problem of feature selection. …”
Get full text

Early Detection, Diagnosis, Prevention, and Treatment of Infection to Avoid Sepsis and Septic Shock in Severely Burned Patients: A Narrative Review by Patrick M. Honoré, Sydney Blackman, Emily Perriens, Jean-Charles de Schoutheete, Serge Jennes

“…The early detection, diagnosis, anticipation, and therapy of infections to prevent sepsis and septic shock remain significant challenges in cases of grave burns. …”
Get full text

Vibrational energy harvesting in micro-electro-mechanical systems integrated with sacrificial anode metal sheets for detecting steel corrosion in concrete by Nithimethaporn Nicharin, Hashimoto Katsufumi, Iwasaki Makoto, Mitsuya Hiroyuki, Ashizawa Hisayuki, Ishiguro Takuma

“…Sacrificial Anode Metal Sheets (SAMS), integrated with a Micro Energy Harvester (MEH) based on Micro-Electro-Mechanical Systems (MEMS) technology, are proposed and employed to continuously monitor the environmental conditions affecting the degradation of the targeted structure. The sensor detects the frequency shift of vibrational behaviour in real-time, providing critical information on corrosion progress of steel bars in concrete. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image by V. Sheejakumari, K. Sundravadivelu, S. Pushparani, P. Gururama Senthilvel, S. Balasubramaniam, Mohd Asif Shah, Mohammed S. Alqahtani, Mohamed Abbas

“…Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant features that when it linked with complicated categorization structure create this as an engaging and difficult task. The automatic progression of DR detection consumes more time and cost. …”
Get full text

RDSF-Net: Residual Wavelet Mamba-Based Differential Completion and Spatio-Frequency Extraction Remote Sensing Change Detection Network by Shuo Wang, Dapeng Cheng, Genji Yuan, Jinjiang Li

“…Although the remote sensing change detection technology has made great progress in recent years, it still faces many thorny problems: first, the complex heterogeneity of ground objects leads to imperfect processing of the change structure information; second, the influence of nonstationary changes due to seasonal factors. …”
Get full text

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.…”
Get full text

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. …”
Get full text

Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Sami Saad Albouq, Mutasim Al Sadig

“…A network intrusion by malicious or unauthorized consumers may cause severe interruption to networks. So, the progress of a strong and dependable network intrusion detection system (IDS) is gradually significant. …”
Get full text

AΚtransU-Net: Transformer-Equipped U-Net Model for Improved Actinic Keratosis Detection in Clinical Photography by Panagiotis Derekas, Charalampos Theodoridis, Aristidis Likas, Ioannis Bassukas, Georgios Gaitanis, Athanasia Zampeta, Despina Exadaktylou, Panagiota Spyridonos

“…This configuration allows the network to maintain semantic coherence and spatial continuity in AK detection. This global awareness is critical when applying the model to whole-image detection via tile-based processing, where continuity across tile boundaries is essential for accurate and reliable lesion segmentation. …”
Get full text

Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

“…The foremost intention of this study is to improve cybersecurity detection and classification in smart city environments. …”
Get full text

SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images by Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu

“…Arbitrary-oriented object detection in remote sensing images has witnessed significant progress in recent years. …”
Get full text

Two fatal cases of anti-melanoma differentiation-associated gene 5 antibody (anti-MDA5) rapidly progressive interstitial lung disease (RP-ILD): Exploring pitfalls and differences by Dina Ismail, Fatema Ezzy, Bibi Ayesha

“…Introduction: Rapidly progressive interstitial lung disease (RP-ILD) poses a critical challenge in clinical practice, characterized by nonspecific symptoms that rapidly progress to respiratory failure despite intensive management. …”
Get full text

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.…”
Get full text