A Package Level Regression Test Selection Approach for Java Software Systems by Mohammed Al-Refai, Mahmoud M. Hammad

Get full text

Modelling radiological features fusion and explainable AI in pneumonia detection: A graph- based deep learning and transformer approach by Pratham Kaushik, Eshika Jain, Vinay Kukreja, Shanmugasundaram Hariharan, Murugaperumal Krishnamoorthy, Vandana Ahuja, Abhishek Bhattacherjee, Rajesh Kumar Kaushal, Shih-Yu Chen

Get full text

MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification by Md. Eshmam Rayed, Jamin Rahman Jim, Md Juniadul Islam, M. F. Mridha, Md Mohsin Kabir, Md. Jakir Hossen

Get full text

Efficacy and safety of endoscopic ultrasonography‐guided radiofrequency ablation of small pancreatic neuroendocrine neoplasms: A prospective, pilot study by Kazuyuki Matsumoto, Daisuke Uchida, Yasuto Takeuchi, Hironari Kato, Yuki Fujii, Kei Harada, Nao Hattori, Ryosuke Sato, Taisuke Obata, Akihiro Matsumi, Kazuya Miyamoto, Shigeru Horiguchi, Koichiro Tsutsumi, Kazuya Yasui, Ryo Harada, Masakuni Fujii, Motoyuki Otsuka

“…The complete response rates on contrast‐enhanced computed tomography at one and 6 months were 100%. …”
Get full text

Cumulative effect of digital manufacturing techniques, preparation taper and finish line designs on the retention of aged temporary molar crowns − An in vitro study by Firas K. Alqarawi, Mohammed E. Sayed, Harisha Dewan, Fawzia Ibraheem Shaabi, Hina Naim, Manawar Ahmad, Hanan Ibrahim Hakami, Ebrahim Fihaid Alsubaiy, Areen Sultan, Saad Saleh AlResayes

“…Two subgroups of the prepared teeth received temporary crowns that were either “Computer-Aided Design” and “Computer-Aided Manufacturing (CAD/CAM) milled or 3D printed. …”
Get full text

Assessment of effectiveness and safety of thrombolytic therapy to pulmonary emboli by endobronchial ultrasound-guided transbronchial needle injectionCentral MessagePerspective by Yuki Sata, MD, PhD, Masato Aragaki, MD, PhD, Terunaga Inage, MD, PhD, Nicholas Bernards, PhD, Alexander Gregor, MD, PhD, Shinsuke Kitazawa, MD, PhD, Fumi Yokote, MD, PhD, Takamasa Koga, MD, PhD, Hiroyuki Ogawa, MD, PhD, Yoshihisa Hiraishi, MD, PhD, Tsukasa Ishiwata, MD, PhD, Andrew Effat, MS, Kate Kazlovich, MS, Harley Chan, PhD, Ichiro Yoshino, MD, PhD, Kazuhiro Yasufuku, MD, PhD, FRCSC

“…On day 7, pigs were humanely killed to evaluate the residual clot volume in the pulmonary arteries. …”
Get full text

Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models by Son K. Do, Tien L. T. Du, Hyongki Lee, Chi‐Hung Chang, Duong D. Bui, Ngoc T. Nguyen, Kel N. Markert, Johan Strömqvist, Peeranan Towashiraporn, Stephen E. Darby, Linh K. Bui

“…The framework enables the isolated assessment of long‐term hydropower impacts on downstream inundation dynamics with computational efficiency and reduced ground data requirements, making it suitable for poorly gauged regions. …”
Get full text

Winglet Geometries Applied to Rotor Blades of a Hydraulic Axial Turbine Used as a Turbopump: A Parametric Analysis by Daniel da Silva Tonon, Jesuino Takachi Tomita, Ezio Castejon Garcia, Cleverson Bringhenti, Luiz Eduardo Nunes de Almeida, Jayanta Kapat, Ladislav Vesely

“…The application of these techniques on gas turbines has been widely evaluated; however, there is a lack of analyses of hydraulic turbines. …”
Get full text

Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy by Aarohi Deshpande, Aarohi Gherkar, Avni Bhambure, Girish Shivhare, Shreyash Kolhe, Bhupendra Prajapati, Shama Mujawar

“…Our study thus represents a step toward a more holistic, computationally driven framework for neurological disorder management. …”
Get full text

A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

“…Despite its importance, there is a lack of computational methods capable of predicting its production as a function of the consortium composition. …”
Get full text

Estimation of Fractal Dimensions and Classification of Plant Disease with Complex Backgrounds by Muhammad Hamza Tariq, Haseeb Sultan, Rehan Akram, Seung Gu Kim, Jung Soo Kim, Muhammad Usman, Hafiz Ali Hamza Gondal, Juwon Seo, Yong Ho Lee, Kang Ryoung Park

“…Therefore, previous studies have proposed disease classification methods based on machine learning or deep learning techniques; however, most did not consider real-world plant images with complex backgrounds and incurred high computational costs. To address these issues, this study proposes a computationally effective residual convolutional attention network (RCA-Net) for the disease classification of plants in field images with complex backgrounds. …”
Get full text

Molecular simulation and ANN modelling for Cadmium (Cd) and Lead (Pb) adsorption from water using zeolites by Noor e Hira, Serene Sow Mun Lock, Lam Ghai Lim, Ushtar Arshad, Mehtab Ali Darban, Abid Salam Farooqi, Suhaib Umer Ilyas, Chung Loong Yiin

“…In this work, 24 zeolites were evaluated using computational chemistry approach to find the most efficient adsorbents, thereby avoiding experimental hurdles. …”
Get full text

Age‐Related Outcomes of Valve‐in‐Valve Transcatheter Aortic Valve Replacement for Structural Valve Deterioration by Takashi Nagasaka, Vivek Patel, Kazuki Suruga, Alon Shechter, Ofir Koren, Tarun Chakravarty, Wen Cheng, Hideki Ishii, Hasan Jilaihawi, Mamoo Nakamura, Raj R. Makkar

“…Echocardiography and computed tomography were used for follow‐up evaluations. …”
Get full text

3D-printed porous tantalum for acetabular reconstruction in complex primary arthroplasty and revision of hip by Zonghan Wang, Zonghan Wang, Zonghan Wang, Ze Wang, Ze Wang, Ze Wang, Lingchuan Gu, Lingchuan Gu, Lingchuan Gu, Ying Zhang, Ying Zhang, Ying Zhang, Tiao Su, Tiao Su, Tiao Su, Jiangming Luo, Jiangming Luo, Jiangming Luo, Chengjun Huang, Chengjun Huang, Chengjun Huang, Xiaoyuan Gong, Xiaoyuan Gong, Xiaoyuan Gong, Yang Peng, Yang Peng, Yang Peng, Guangxing Chen, Guangxing Chen, Guangxing Chen

“…Renowned for its compatibility with human biology, tantalum facilitates superior integration with natural bone.MethodsThe development process started with the generation of meticulous computer-aided design (CAD) models, derived from preoperative imaging techniques such as computed tomography (CT) scans and (magnetic resonance imaging) MRIs, which allowed for the creation of components precisely matching each patient’s unique anatomical structure. …”
Get full text

In silico profiling of neem limonoids and gut microbiome metabolites for Alzheimer’s therapeutics: targeted inhibition of BACE1 and elucidation of intricate molecular crosstalk wit... by Oluwaseun E. Agboola, Zainab A. Ayinla, Samuel S. Agboola, Esther Y. Omolayo, Abimbola E. Fadugba, Othuke B. Odeghe, Oluranti E. Olaiya, Babatunji E. Oyinloye

“…BBB permeability was computationally evaluated using six molecular descriptors: molecular weight, LogP, hydrogen bond acceptors/donors, polar surface area, and rotatable bonds, categorizing compounds as highly or poorly BBB permeable based on established predictive criteria. …”
Get full text

Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…Model performance was evaluated through generalization and accuracy measurements, including the coefficient of determination (R²), root mean square error (RMSE), mean square error (MSE), and mean squared logarithmic error (MSLE). …”
Get full text

Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…The proposed solutions’ analysis shows low computational complexity and fast convergence, achieving near-optimal EE performance for different network settings. …”
Get full text

NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…Conclusions NeXtMD offers a high-performance and interpretable computational framework for AIP identification, with significant potential to facilitate the discovery and design of peptide-based anti-inflammatory therapeutics. …”
Get full text

Automatic Non-Urban Road Surface Point Extraction Based on Geometric Features Using Neural Networks and Raster Structure Approach by M. Dowajy, M. Fawzy, M. Fawzy, A. Barsi, T. Lovas

“…The proposed approach computes multiple geometric features of the point cloud at two resolutions, 0.2 and 0.4 meters, to enhance segmentation accuracy. …”
Get full text

Extended DPL-VIKOR Method for Risk Assessment of Technological Innovation Using Dual Probabilistic Linguistic Information by Shahzaib Ashraf, Muhammad Ijaz, Muhammad Naeem, Saleem Abdullah, Lula Babole Alphonse-Roger

Get full text