Clinical Performance of Non Caries Excavation and Conventional Techniques of Caries Removal in Primary Molars: A Split-mouth Randomised Control Trial by Aiyer Aishwarya, Penmatsa Chaitanya, Chandrapa Vinay, KS Uloopi, Penmetsa Ahalya, Gadisetti Lakshmi Surekha

“…These treatments halt the progression of decay while preserving natural tooth structure and supporting the tooth’s ability to heal. Aim: This study aims to evaluate the clinical performance of Non Caries Excavation (NCE) and conventional Caries Removal Techniques (CT) for restoration in primary molars. …”
Get full text

Impact of mandibular 4-implant overdenture base construction techniques on assessment of occlusion with digital occlusion analysis system (clinical crossover study) by Ahmed Ali Abdelghany, Mohammed M. Fouad, Radwa Mohsen Kamal Emera, Osama Askar, Ayman Ahmed Mustafa Yaseen

“…However, definitive evidence on this matter remains lacking. Thus, this study aimed to compare two fabrication techniques, CAD/CAM milled and conventional, for four-implant-supported complete mandibular overdenture bases, with a specific focus on their impact on occlusal balance. …”
Get full text

Safety and efficacy of the Yamane technique for intraocular three-piece lens implantation in Egyptian patients diagnosed with Marfan syndrome: a retrospective study by Fathy Mohamed Abo Elftouh Elsalhy, Ahmed Hassan Samir Assaf, Sarah Abbas Alshamarti, Noha Fawky Soliman, Abdelrahman Ahmed Ali Khattab, Mahmoud Mohammed Ahmed Ali Khalil, Mahmoud Fawzy Zaky Morsy, Ezzat Nabil Abbas Ibrahim, Ahmad Mohammad Salah Eldeen Abdul Hay, Mohamed Sayed Taha Abouzeid

“…Abstract Background This study aimed to investigate the safety and efficacy of the Yamane technique (flanged intrascleral haptic fixation with double-needle technique /FIHFT) for three-piece intraocular lens (IOL) implantation in Egyptian patients diagnosed with Marfan syndrome (MFS) presented with subluxated lenses (ectopia lentis, EL). …”
Get full text

Is the Use of Tourniquets More Advantageous than Other Bleeding Control Techniques in Patients with Limb Hemorrhage? A Systematic Review and Meta-Analysis by Roberto Cirocchi, Dominica Prigorschi, Luca Properzi, Matteo Matteucci, Francesca Duro, Giovanni Domenico Tebala, Bruno Cirillo, Paolo Sapienza, Gioia Brachini, Sara Lauricella, Diletta Cassini, Antonia Rizzuto, Andrea Mingoli

Get full text

Modeling the Impact of Water Hyacinth on Evapotranspiration in the Chongón Reservoir Using Remote Sensing Techniques: Implications for Aquatic Ecology and Invasive Species Manageme... by Carolina Cárdenas-Cuadrado, Luis Morocho, Juan Guevara, Manuel Cepeda, Tomás Hernández-Paredes, Diego Arcos-Jácome, Carlos Ortega, Diego Portalanza

Get full text

Does Syndesmotic Fixation Technique Impact Complication Rates and Functional Outcomes Measured by PROMIS Scores Following Operative Repair of Ankle Fractures? by Steven Hadley BA, Rachel Bergman MD, John Peabody MD, Sarah Westvold MPH, Ryan Filler MD, Milap Patel DO, Anish Kadakia MD

“…Due to rarity of complications and perfect separation in the data, we were unable to use statistical tests to compare complication incidence across techniques. …”
Get full text

Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study by Mahdi Imani, Jared Buratto, Thang Dao, Erik Meijering, Sara Vogrin, Timothy C. Y. Kwok, Eric S. Orwoll, Peggy M. Cawthon, Gustavo Duque

“…This study aims to develop a deep learning technique for segmentation and quantification of musculoskeletal tissues in CT scans of proximal hip. …”
Get full text

Detection of fraud in public procurement using data-driven methods: a systematic mapping study by Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho

“…This article aims to provide a better overview of how these techniques are used to detect corruption in public procurement. …”
Get full text

Analysis of confounders of the image quality of a high-resolution isotropic three-dimensional Dixon water-fat late gadolinium enhancement technique by Johanna Kuhnt, Edyta Blaszczyk, Leo Dyke Krüger, Leonhard Grassow, Claudia Prieto, René Botnar, Karl Philipp Kunze, Michaela Schmidt, Darian Steven Viezzer, Thomas Hadler, Maxmilian Fenski, Jeanette Schulz-Menger

“…Cardiac function, acquisition conditions, and demographic data were investigated as potential confounders for image quality and contrast ratio. …”
Get full text

Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…Various methods have been introduced for crime detection, including a wide range of innovative computer techniques. Data mining is regarded as one of the most effective tools for data and information analysis in the field of crime detection. …”
Get full text

Memorizing numerical data in the 17th and 18th centuries. Technical innovations and new practices by Clément Poupard

“…However, the memorization of numerical data remained a marginal topic in memory manuals, and the available techniques were cumbersome when dealing with multiple long numbers. …”
Get full text

Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…By addressing these issues, the review not only shows advancements in optimization techniques but also outlines future research directions, aiming to bridge the gap between theoretical developments and practical applications in civil engineering. …”
Get full text

Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…By addressing these issues, the review not only shows advancements in optimization techniques but also outlines future research directions, aiming to bridge the gap between theoretical developments and practical applications in civil engineering. …”
Get full text

Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy by Abdul Mizwar A Rahim, Ahmad Ridwan, Bambang Pilu Hartato, Firman Asharudin

“…This study aims to enhance the performance of AIDS infection prediction models by integrating feature selection, data balancing, and machine learning classification techniques. …”
Get full text

Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…Developing an intelligent system for analyzing semistructured data requires innovative methods and approaches that combine natural language processing (NLP), machine learning algorithms and big data analytics techniques. …”
Get full text

Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data by Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashadul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim

“…Therefore, this study aims to employ cat activity detection techniques to combine data from acceleration, motion, and magnetic sensors, such as accelerometers, gyroscopes, and magnetometers, respectively, to recognize routine cat activity. …”
Get full text

Mapping of hematite ore deposits using multi-sensor data in the Sekota District, Northern Ethiopia by Jerbaw Tiruneh Abejehu, Binyam Tesfaw Hailu, Worash Getaneh, Karuturi Venkata Suryabhagavan

“…Therefore, this study aims to identify the iron ore prospective zones in the Sekota district of Ethiopia utilizing ASTER and Sentinel−2A satellite data for further onsite exploration and testing. …”
Get full text

The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…With the increasing availability of real-world data (RWD) from diverse sources, such as electronic health records (EHRs), patient registries, and wearable devices, ML techniques present substantial potential to enhance clinical outcomes. …”
Get full text

Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data by Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley

“…Sinkholes are geohazards that commonly form in karstifiable terrain and are an ever-present danger to infrastructure and human life. This paper aims to answer the question: Can a cover–subsidence sinkhole’s volume be determined using fibre Bragg grating sensor strain data and machine-learning techniques? …”
Get full text

Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision by Jun Ha Lee, Su Jeong You

“…In recent years, the quality of training data has emerged as a critical factor for ensuring effectiveness in real-world scenarios. …”
Get full text