Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…The descriptive statistics was performed. The Cohen kappa correlation coefficient was used for assessment of reliability of the diagnostic methods. …”
Get full text

Patient Reported Outcomes from an Open Label, Multi-Center, Retrospective Study of a Biodegradable Graft for Soft Tissue Reconstruction in Patients Suffering from Chronic Lateral A... by Bryan G. Vopat MD, Ryan Scott DPM

“…Methods: This multi-center, IRB approved study is collecting data on patients that have undergone ATFL repair (isolated and non-isolated) with PUUR augmentation. …”
Get full text

Sediments of northeastern shelf of the sea of Okhotsk in the area of South Kirin hydrocarbon deposits: microstructure, mineral, chemical and trace element composition by T. G. Ryashchenko, S. I. Shtel'makh, N. N. Ukhova, G. S. Lonshakov, S. S. Kolesnikov

“…The content of rock-forming oxides (method of silicate analysis) and statistical data processing showed a homogeneous distribution of silicon, aluminum and potassium oxides in the section, the coefficient of variation (V, %) was only 1—3 %. …”
Get full text

Study of the relationship between cutaneous elastic fibers and breast ptosis in patients undergoing breast implant surgery by Javier Enrique Brod Méndez

“…Data on the degree of degeneration of the elastic fibers and breast ptosis were collected and a p value of 0.05 was considered for all statistical analyses. …”
Get full text

Steady-State Visually Evoked Magnetic Signal Classification and BCI Evaluation Based on a Convolutional Neural Network by Yutong Wei, Fudan Zhao, Fengwen Zhao, Shiqiang Zheng, Chaofeng Ye, Liangyu Liu

“…A three-block temporal convolutional neural network (3B-TCN) is developed to classify brain magnetic signals. A data augmentation method based on statistical analysis of SSVEF signals is proposed, which generates 30,000 sets of data to train the 3B-TCN. …”
Get full text

Long-term survival of dental implants placed in the grafted maxillary sinus: systematic review and meta-analysis of treatment modalities. by Fabian Duttenhoefer, Cyriel Souren, Dieter Menne, Dominik Emmerich, Ralf Schön, Sebastian Sauerbier

“…However, the role of different factor combinations and associated reciprocal effects remain unclear. Conventional statistical methods do not consider inconsistency of study designs and do not take covariables into account. …”
Get full text

Education on Adolescent Reproductive Health at MTsS Thawalib Pesantren Padang by Melisa Yenti, Ahmad Hidayat, Bella Novriani, Arni Melati, Novia Larasati

“…Data analysis was conducted through a paired sample t-test, a statistical method that compares the means of two related groups to determine if there is a significant difference between them. …”
Get full text

Effect of knee sleeves on joint angle variability during gait in older adults: a principal component analysis by Wakako Tsuchida, Wakako Tsuchida, Wakako Tsuchida, Takuma Inai, Takuma Inai, Takuma Inai, Shoma Kudo, Shoma Kudo, Shoma Kudo, Yoshiyuki Kobayashi, Yoshiyuki Kobayashi, Masahiro Fujimoto, Masahiro Fujimoto, Masahiro Fujimoto

Get full text

Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

“…Five DL models—DenseNet201, EfficientNet B0, ResNet-18, VGG-19, and MaxVit-T—were trained using transfer learning and data augmentation techniques. Performance was evaluated using accuracy, AUC and MCC. …”
Get full text

Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…A novel approach, the multi-dimensional fusion feature-enhanced (MDFFE) prediction method has been devised. Additionally, a data augmentation framework leveraging multi-dimensional feature engineering has been established. …”
Get full text

Evolution and trends in the management of acromioclavicular joint dislocations: an epidemiological analysis from Germany between 2013 and 2023 by Philipp Herrmann, MD, Martin Luedemann, MD, Thilo Lehmeyer, MD, Sebastian Frischholz, MD, Maximilian Rudert, MD, Kilian List, MD, Ioannis Stratos, MD, Felix Hochberger, MD

“…Materials and methods: Hospital billing data from the Federal Statistical Office of Germany (2013-2023) were analyzed, including patients diagnosed with ACJD (International Classification of Diseases-10: primary diagnosis International Classification of Diseases S43.1) who underwent surgical reconstruction of the ACJD (German Operation and Procedure Classification System codes: 5-814b, 5-807.4, 5-807.5, 5-807.6, 5-930.0, 5-852.f, and 5-852.f8). …”
Get full text

Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers by Hyo-Bin Lee, So-Yeon Kwon, Ji-Hae Park, Bori Kim, Geon-Ha Kim, Jang-Hwan Choi, Young Mi Park

“…To address the limitation of small sample sizes, data augmentation leveraging large language models improved the model’s robustness. …”
Get full text

Quranic Stories and Creative Thinking in Quranic Students by Abdolrazagh Rahmani, Abdolah Foroozanfar, Shahla Jaafari

“…Consequently, the objective of the current research is to explore the correlation between Quranic narratives and the creative thinking skills of Quranic learners. Methods: This investigation is classified as a survey study, with the data being subjected to analysis via a single-sample t-test and the Friedman test. …”
Get full text

Rainfall prediction based on CNN-LSTM model under sliding window by Rui Yuan

Get full text

Ultrasound Doppler renal pulsatility index is a predictive marker of arterial stiffness in children with solitary functioning kidney by Seçil Conkar Tunçay, Gonca Koç, Gülden Hakverdi

“…Demographic, biochemical, anthropometric, and blood pressure data were recorded. The renal Doppler ultrasound hemodynamic parameters renal resistive index (RRI), renal pulsatility index (RPI), carotid-femoral pulse wave velocity (cfPWV), central augmentation index (cAIx) and carotid intima media thickness (cIMT) were evaluated. …”
Get full text

The influence of carotid plaque on carotid artery stiffness indicators in hypertensive patients with and without accompanying type 2 diabetes by V. V. Syvolap, A. O. Bohun

“…Basic anthropometric data, laboratory indicators of lipid and carbohydrate metabolism, creatinine, data of daily blood pressure monitoring, echocardiography, intima-media thickness, local stiffness indicators: artery diameter, distensibility, the distensibility coefficient (DC), and compliance coefficient (CC), stiffness indices α, β, local pulse wave velocity (PWV), pressure and augmentation index (using radiofrequency-based technologies) were studied. …”
Get full text

Impact of growth parameters on refraction and ocular biometry in Chinese preschool children (3–6 years): the Beijing children eye study by Chao Wang, Jing Yuan, Qing Xu, Aimin Jiang

“…BackgroundThis study aims to investigate the relationship between growth and ocular biometry/refraction in preschool children aged 3–6 years.MethodsThis study performed a retrospective evaluation utilizing anonymized data from a pre-existing cohort of children aged 3–6 years, who were recruited from 11 kindergartens in the Shunyi District of Beijing. …”
Get full text

The effect of retentive interlocking on the push-out failure of fiber post/composite core system by Adel M. Abdelmoneam, Muhammad F. Khan, Khalid M. Abdelaziz, Bader S. Al-Qahtani, Abdulaziz S. Alqarni, Wael A. Al Shehri

“…Results: Statistical analysis of the collected data indicated significant differences between test groups (p < 0.05). …”
Get full text

Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…In addition, the ACC rate was found to be 100%, and it proved that the method used to increase the data also produced successful results in walking data. …”
Get full text

RF-Based Sensing and AI Decision Support for Stroke Patient Monitoring: A Digital Twin Approach by Sagheer Khan, Usman Anwar, Aftab Khan, Tughrul Arslan

“…The implementation of Machine Learning (ML) and Deep Learning (DL) technologies for stroke classification provides the necessary decision support to healthcare professionals in DT stroke patient monitoring. The statistical and autonomous (AutoEncoders (AE) and Stacked AutoEncoders (SAE) with structure 32-16-32, 64-32-16-32-64, and 128-64-32-16-32-64-128) feature data is enlarged through Gaussian noise feature data augmentation. …”
Get full text