Chatbots’ Role in Generating Single Best Answer Questions for Undergraduate Medical Student Assessment: Comparative Analysis by Enjy Abouzeid, Rita Wassef, Ayesha Jawwad, Patricia Harris

“…Bing scored low in most evaluation areas but generated appropriately structured lead-in questions. …”
Get full text

Disaster Recognition and Classification Based on Improved ResNet-50 Neural Network by Lei Wen, Zikai Xiao, Xiaoting Xu, Bin Liu

“…Experimental results demonstrate that the proposed model achieves a classification accuracy of 87% on the validation set and outperforms the traditional VGG16 model in most evaluation metrics, including precision, recall, F1-score, AUC, specificity, and log loss. …”
Get full text

Evaluating in a Fragmented Society by Ernest R. House

“…These professional ethics and practices can be applied singly or collectively to most evaluation approaches to strengthen the evaluator’s role and address major societal problems. …”
Get full text

Evaluation of Deep Learning Models for Polymetallic Nodule Detection and Segmentation in Seafloor Imagery by Gabriel Loureiro, André Dias, José Almeida, Alfredo Martins, Eduardo Silva

“…The initial results suggest that transformer-based methods perform better in most evaluation metrics, but at the cost of higher computational resources. …”
Get full text

EVALUATION OF MODIFIED MILLARD'S TECHNIQUE WITH PREMAXILLA SHORTENING IN BILATERAL LABIOPLASTY AT MALAHAYATI HOSPITAL BANDA ACEH 2016- 2019 by Muhammad Taufik, Muhammad Jailani

“…Conclusion: The majority of male sex is the most, the highest in the age group 2 years and above, the most evaluation time is 6-9 months, the most common diagnosis is complete bilateral labiolasty and the most results on bilateral labioplasty using modified millard techniques with premaxillary shortening is good outcome.…”
Get full text

LFEN: A language feature enhanced network for scene text recognition by Hui Chen, Runming Jiang, Fang Hu, Min Chen, Yin Zhang

“…Compared to the baselines, the experimental results demonstrate that LFEN achieves superior performance in most evaluation metrics. Specifically, LFEN has around 2% in recall improved to BERT. …”
Get full text

Perceived Pathways of Change in an Interpersonal Violence Intervention for Mothers: The Importance of Self-Compassion by Kirsten MacAulay, Naomi C. Z. Andrews, Mary Motz, Gloria J. Lee, Debra J. Pepler

“…Interventions to support mothers experiencing interpersonal violence are critical, yet most evaluation research focuses on outcome evaluation, rather than understanding the pathways of change. …”
Get full text

HPRT-DETR: A High-Precision Real-Time Object Detection Algorithm for Intelligent Driving Vehicles by Xiaona Song, Bin Fan, Haichao Liu, Lijun Wang, Jinxing Niu

“…Additionally, its generalization ability is assessed on the SODA 10M dataset, where HPRT-DETR outperforms RT-DETR in most evaluation metrics, confirming the model’s effectiveness.…”
Get full text

Evaluation of Simulation-based Training in Airway Management among Maiden Workshop Participants in Enugu, Nigeria: A Mixed-method Study by Nwosu ADG, Ossai EN, Amucheazi AO, Onyekwulu FA, Achi J, Ilo DI

“… Context: Simulation-based training is a growing format in healthcare education in Nigeria. So far, most evaluation of the outcome have been limited to the usual pre- and post- tests of knowledge acquisition. …”
Get full text

How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple i... by K. P. Junaid, Tanvi Kiran, Madhu Gupta, Kamal Kishore, Sujata Siwatch

“…Evaluation metrics exhibited ‘high performance’ for the dataset with a 50% missing proportion for various health indicators However, with missing proportions exceeding 70%, the majority of indicators demonstrated a ‘low’ performance level in terms of most evaluation metrics. The visual inspection of the box plot revealed severe variance shrinkage in imputed datasets with missing proportions beyond 70%, corroborating the findings from the evaluation metrics. …”
Get full text

FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…The obtained experimental results show that FUSCANet outperforms existing models on most evaluation metrics, while maintaining low parameter counts, making it suitable for deployment in resource-constrained environments.…”
Get full text

Anterior Endocrowns as An Alternative to Core Crown restorations: A Systematic Review by Hisham A. Mously, Ghada H. Naguib, Ahmed O. Abougazia, Afaf A. Almabadi, Osama A. Qutub, Mohamed T. Hamed

“…Overall, the studies included provided sufficient information for most evaluation criteria of the QUIN risk of bias assessment tool. …”
Get full text

Biosensor for integrin inhibition of mammalian cell adhesion and migration using micropatterned cell culture substrate and retroreflective optical signaling by Kyung Won Lee, Eun Kyeong Yang, Duc Long Nguyen, Soo A Park, Moon Suk Kim, Jae-Ho Kim, Min Young Lee, Hyun C. Yoon

“…However, because most evaluation methods for newly developed RGD variants focus on affinity strength, tools for cellular effects are required. …”
Get full text

Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…The integration of machine learning models demonstrated improved classification accuracy, with ReLU-based neural networks outperforming others in most evaluation metrics.Discussion: The study demonstrates the potential of a robust, integrated machine learning framework to analyze high-dimensional neuroimaging data and identify biologically relevant markers of ADHD. …”
Get full text

Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey by Wei Gong, Wei Gong, Wei Gong, Xiaoxiao Hu, Huimin Cui, Huimin Cui, Yuxin Zhao, Yuxin Zhao, Hong Lin, Hong Lin, Hong Lin, Peng Sun, Peng Sun, Jianjun Yang, Jianjun Yang

“…SHapley Additive exPlanations (SHAP) were used to interpret model outputs.ResultsXGBoost achieved the best predictive performance (AUC = 0.788 on the test set), outperforming both linear and non-linear models across most evaluation metrics. SHAP analysis revealed that education level, activities of daily living (ADL), work status, self-assessed health status, and per capita income were the top factors associated with of multimorbidity. …”
Get full text

Repellent Activity of DEET Combined with Botanical Compounds Against <i>Amblyomma sculptum</i> Nymphs: Laboratory and Field Evaluations by Mayara Macêdo Barrozo, Haile Dean Figueiredo Chagas, Gabrielly Bernardes Rodrigues Damaceno, Emilly Faria Santos, Rafael Assunção Carvalho, Isabela Santos Silva, Francisca Letícia Vale, Lainny Jordana Martins Pereira e Sousa, Hermes Ribeiro Luz, Lorena Lopes Ferreira, Caio Monteiro

“…Eugenol and methyl eugenol exhibited the highest average repellent percentages (60 to 90%), with significant effects (<i>p</i> < 0.05) across most evaluation periods, in contrast to 1,8-cineole. Therefore, eugenol and methyl eugenol were selected for combination testing with DEET. …”
Get full text

Evaluation of generative AI assistance in clinical nephrology: Assessing GPT-4, GPT-4o, Gemini 1.0 Ultra, and PaLM 2 in patient interaction and renal biopsy interpretation by Shih-Yi Lin, Chang-Cheng Jiang, Kin-Man Law, Pei-Chun Yeh, Min-Kuang Tsai, Chu-Lin Chou, I-Kuan Wang, I-Wen Ting, Yu-Wei Chen, Che-Yi Chou, Ming-Han Hsieh, Heng-Chih Pan, Sung-Lin Hsieh, Chien-Hua Chiu, Pei-Wen Lee, Yu-Cyuan Hong, Ying-Yu Hsu, Huey-Liang Kuo, Shu-Woei Ju, Chia-Hung Kao

“…Conclusions and Relevance GPT-4o emerged as the most accurate and consistent model across most evaluation categories, while GPT-4 demonstrated superior empathy and balanced performance. …”
Get full text

AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Comparative experiments indicated that AGW-YOLO outperformed several mainstream object detection algorithms, including Faster R-CNN, YOLOv8n, YOLOv9-tiny, YOLOv10n, RT-DETR-R50, and TPH-YOLO, across most evaluation metrics, offering high recognition accuracy with lower computational complexity. …”
Get full text

Using natural experiments to evaluate population health interventions: a framework for producers and users of evidence by Peter Craig, Mhairi Campbell, Manuela Deidda, Ruth Dundas, Judith Green, Srinivasa Vittal Katikireddi, Jim Lewsey, David Ogilvie, Frank de Vocht, Martin White

“…An evaluation design with a combination of methods, both qualitative and quantitative, is often needed to provide a comprehensive understanding of a natural experiment, with theory and planning required for how to bring different study designs, types of data and analyses can be brought together. As with most evaluation designs, it is good practice to develop a protocol, or methods-appropriate advance study plan, and to place it in the public domain before analysis commences. …”
Get full text

A systematic review of methods used for COVID-19 telehealth systems evaluation: lessons from past experiences for future use by Aynaz Nourani, Seyed Mohsen Hosseini, Mozhgan Rassoulian, Laaya Joudivand, Tahereh Samimi, Bahlol Rahimi

“…Also, the methodology used in most evaluations was Qualitative and quantitative (non-integrated) (n = 18, 69.23%). …”
Get full text