Radiological findings of Secondary Synovial Chondromatosis of Elbow Joint: A Case Report by Pulkit Kumar Santoshi, Nahid Niaj, Soumyabrata Debnath

“…Therefore, extensive radiological evaluation is necessary for the accurate and early diagnosis of the condition. …”
Get full text

BIOFEEDBACK: A NEW METHOD FOR CORRECTION OF MOTOR DISORDERS IN PATIENTS WITH MULTIPLE SCLEROSIS by Ya. S. Pekker, V. M. Alifirova, N. G. Brazovskaya, A. A. Ryazantseva, A. N. Pribylskaya

“…In the study, we have developed scenarios for training rehabilitation program computer EMG biofeedback aimed at correction of motor disorders in patients with multiple sclerosis (MS). …”
Get full text

Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills by Salwa Ahmad Sarow, Hasan Abbas Flayyih, Maryam Bazerkan, Luttfi A. Al-Haddad, Zainab T. Al-Sharify, Ahmed Ali Farhan Ogaili

“…This study harnessed computer science-based algorithm to forecast the productivity of hemispherical solar stills (HSS) enhanced by various sand beds, reflectors, and a vapor extraction fan using XGBoost analysis. …”
Get full text

Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…Compared to Differential Evolution (DE) techniques and Deep Learning (DL) models from the literature, this recommended algorithm demonstrates superior efficiency, as verified through quantitative and qualitative evaluation metrics. Furthermore, the computational complexity of the GA is intricately compared to that of DE and DL-based approaches, highlighting the distinct efficiencies and performance features.…”
Get full text

Numerical investigation of the simultaneous effect of twisted tape and nanofluid hybrid in shell and spiral tube heat exchanger with a special design by Seyed Hossein Hashemi Karouei, Dheyaa J. Jasim, Mohammad N. Fares, Laith S. Sabri, Ahmed Salah Al-Shati

Get full text

Integrative green synthesis and molecular simulation of ibrutinib cocrystals for enhanced biopharmaceutical performance and in vivo pharmacokinetics by Divya Dhatri Kara, Pragathi Devanand Bangera, Mahesha Keerikkadu, Mahalaxmi Rathnanand

“…Several carboxylic acid and carboxyl amide coformers were chosen in accordance with computational evaluations and predictions for the solubility parameter to formulate IBR-CC. …”
Get full text

Optimization and image quality in CT studies: application of DRLs based on clinical indication by Carmine Picone, Annamaria Porto, Roberta Fusco, Claudio Granata, Maria Chiara Brunese, Vincenza Granata, Alessandro Ottaiano, Marialuisa Barretta, Ferdinando Caranci, Biagio Pecori, Eugenio Sorgente, Sergio Salerno, Raffaella Mormile, Fabio Pinto, Antonio Pinto, Andrea Magistrelli, Antonella Petrillo

“…Abstract The use of ionizing radiation in computed tomography (CT) has significantly enhanced diagnostic accuracy and clinical decision-making. …”
Get full text

Modular iodinated carboxybetaine copolymers as charge-sensitive contrast agents for the detection of cartilage degradation by Patrick Weber, Annalena Maier, David Fercher, Maryam Asadikorayem, Marcy Zenobi-Wong

“…Accurately assessing cartilage tissue degradation is a big challenge in osteoarthritis (OA) research, as histology only provides information about a 2D tissue section, and currently available contrast agents for tomographic evaluation suffer from low specificity. In this study, we present a modular platform based on zwitterionic carboxybetaine (CBAA) to create multivalent polymeric contrast agents for x-ray computed tomography (CT) with high specificity towards the anionic glycosaminoglycans in the cartilage tissue. …”
Get full text

Prediction of Severity and Adverse Outcomes Associated with Perforation in Patients Presenting to the Emergency Department with Esophageal Injury by Eui Sun Jeong, Hye-Kyung Jung, Ju Ran Byeon, Ayoung Lee, Ji Taek Hong, Seong-Eun Kim, Chang Mo Moon

Get full text

Automatic Diagnosis of Traumatic Brain Injury Using Deep Learning with CT scan Images by Behrang Rezvani Kakhki, Hossein Zakeri, Sayyed Majid Sadrzadeh, Seyed Mohammad Mousavi, elnaz vafadar moradi, golnoush shahraki

“…Pre-trained ResNet18 and ResNet34 models were employed for classification. Evaluation metrics such as accuracy, precision, recall, and F-score were computed using a confusion matrix.Results: The CNN model achieved an accuracy of 0.94, a precision of 1.0, and a recall of 0.88 in classifying CT images.Conclusion: These findings indicate that CNN-based models can assist radiologists in faster and more consistent diagnosis of traumatic brain injuries. …”
Get full text

An evaluation of spatial–temporal dynamics of city size distribution & CO2 emission in China from nighttime light data: a Pathway to sustainable urban planning by Neel Chaminda Withanage, Jingwei Shen, N. P. Ravindra Deyshappriya, Prabuddh Kumar Mishra, K. Samitha Udayanga

Get full text

Research on Scenarios and Modeling of Co-Frequency Interference Between NGSO Communication Constellation Systems by Wei LI, Kang YAN, Jingru GENG, Wen WANG

“…Aiming at the serious problem of frequency overlapping among non-geostationary satellite orbit (NGSO) communication constellation systems.The potential interference scenarios under multiple NGSO communication constellation systems sharing the same spectrum band was comprehensively analyzed, with the aid of analyzing frequency plan of typical constellation systems.Then the possibility of interference risk in each scenario was qualitatively evaluated.According to the characteristics of interference scenarios, the key parameters and models for the co-frequency interference analysis between the NGSO communication constellation systems were discussed, and the computing models of co-frequency interference based on three diff erent protect criterion were presented.Finally, challenges and key research directions of co-frequency interference analysis between NGSO communication constellation systems were pointed out.The research can provide a reference for the study of compatibility and coexistence between broadband Internet constellation systems.…”
Get full text

A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

“…Conclusion: In this study, an evaluation of five different classification methods revealed that all of them exhibited sufficient level of specificity. …”
Get full text

A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation by Hugo J. M. Miniere, David A. Hormuth, Ernesto A. B. F. Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D. Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Sophia Ty, Caroline Chung, Thomas E. Yankeelov

“…We present a novel computational platform that assimilates MRI data to continually predict spatiotemporal tumor changes during chemoradiotherapy. …”
Get full text

Survival Prediction of Esophageal Cancer Using 3D CT Imaging: A Context-Aware Approach With Non-Local Feature Aggregation and Graph-Based Spatial Interaction by Fuce Guo, Chen Huang, Shengmei Lin, Yongmei Dai, Qianshun Chen, Shu Zhang, Xunyu XU

“…In the current study, we aimed to develop an effective EC survival risk prediction using only 3D computed tomography (CT) images.The proposed model consists of two essential components: 1) non-local feature aggregation module(NFAM) that integrates visual features from tumor and lymph nodes at both local and global scales, 2) graph-based spatial interaction module(GSIM) that explores the latent contextual interactions between tumors and lymph nodes.The experimental results demonstrate that our model achieves superior performance compared to state-of-the-art survival prediction methods, emphasizing its robust predictive capability. …”
Get full text

Potential of Chest Radiography in Primary Diagnosis of Lung Cancer by A. V. Bereznikov, S. O. Shkitin, I. E. Tyurin

“…Objective: to evaluate the effectiveness of diagnostics for non-small cell lung cancer (LC) based on chest radiography/fluorography data for LC screening diagnostics during preventive medical examination and check-ups.Material and methods. …”
Get full text

Evaluation of food waste treatment techniques using aczel alsina based MAGDM model in the q-rung orthopair fuzzy soft structure by Rana Muhammad Zulqarnain, Hongwei Wang, Usman Zulfiqar, Rifaqat Ali, Imran Siddique, Abdullatif Saleh Ghallab, Hafiz Shahzar Riaz Khan Tareen, Sohaib Abdal

Get full text

Landslide Hazard Assessment and Zonation by using Slope Susceptibility Evaluation Parameter (SSEP) Rating Scheme- a Case from Debre Sina, Northern Ethiopia by Tamene Tadele

Get full text

Landslide Hazard Assessment and Zonation by using Slope Susceptibility Evaluation Parameter (SSEP) Rating Scheme- a Case from Debre Sina, Northern Ethiopia by Tamene Tadele

Get full text

Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient by Yanxiang Niu, Xin Chen, Jianqi Fan, Chunli Liu, Menghao Fang, Ziquan Liu, Xiangyan Meng, Yanqing Liu, Lu Lu, Haojun Fan

Get full text