Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…The best-performing approach—Visual Saliency combined with Feature Extraction and Feature Selection—achieved the highest correlation with subjective quality scores (PCC = 0.997, KRCC = 0.955, SROCC = 0.995) and the lowest Mean Squared Error (MSE = 1.318). This highlights the effectiveness of visual saliency and feature selection in improving the reliability and efficiency of VQA models, making them more aligned with human perception.…”
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Simultaneous determination of 101 volatile organic compounds released from plastic runway tracks based on the environmental chamber-canister sampling-three-stage cold trap preconce... by Gan Liu, Gan Liu, Yong Ma, Yong Ma, Hong Wang, Hong Wang, Yanrong Meng, Yanrong Meng, Yu Huang, Yu Huang, Weitao Zheng, Weitao Zheng

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Soil moisture product consistency for operational drought monitoring in Europe by J. Gaona, D. Bavera, G. Fioravanti, S. Hahn, P. Stradiotti, P. Filippucci, S. Camici, L. Ciabatta, H. Mosaffa, S. Puca, N. Roberto, L. Brocca

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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors. …”
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Using satellite-derived attributes as proxies for soil carbon cycling to map carbon stocks in alpine grassland soils by Ren-Min Yang, Lai-Ming Huang, Zhifeng Yan, Xin Zhang, Shao-Jun Yan

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Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality by SU Xuesong, GENG Jianhua, ZHENG Rong, WANG Xuejuan

“…Low-dose imaging represents a significant research focus within the field of PET, with delayed PET imaging also encountering situations with lower imaging doses. …”

Relationship between Tai Chi and clinical outcomes in elderly patients with COVID-19: a protocol for systematic review and dose–response meta-analysis by Yang Wang, Na Li, Xiao Peng, Chun Wang, Sheng He, Jinfeng Yang, Yuanpeng Liao

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The Utility of Virtual Reality in Ophthalmology: A Review by Ahuja AS, Paredes III AA, Eisel ML, Ahuja SA, Wagner IV, Vasu P, Dorairaj S, Miller D, Abubaker Y

“…VR training simulators have decreased surgical error rates and improved technique in cataract surgery. …”
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Association of prognostic nutritional index with all-cause and cardiovascular mortality in adults with depression: NHANES 2005–2018 by Haiyan Ding, Xinchun Zou

“…Restricted cubic spline analyses were utilized to explore the potential nonlinear association between PNI levels and mortality.ResultsThe weighted mean PNI level was 41.89 (standard error 0.1), and the median follow-up duration was 84 months. …”
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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…According to the results, the simultaneous application of Q and SC lag time values as inputs has led to the best SL estimates by XGB-MPA, with XGB-MPA9 (RMSE = 103.7 ton/day; NSE = 0.96) exhibiting the lowest error rates. In addition, XGB-MPA has performed better than XGB in all scenarios, with the lowest and highest reduction in RMSE being 19.3% (scenario 5) and 97.4% (scenario 1), respectively. …”
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Large Gradient Subsidence Monitoring in Mining Area Based on LuTan-1 SAR Images by X. Zhang, H. Zhao, X. Tang, T. Li, X. Zhou, X. Zhang

“…The monitoring results obtained by Sentinel-1 data in the same period presented obvious decoherence phenomenon, and only the subsidence basin margin deformation details was obtained. (3) Combined with the synchronous levelling measurements results of the mining area, the LuTan-1 time series deformation monitoring accuracy is better than 40mm, and the maximum relative error is better than 4%. For the large gradient deformation monitoring of mining area, the complete and reliable subsidence information can be obtained by using multi-temporal LuTan-1 SAR data, which provides effective technical support for the mining subsidence law research and the safety monitoring of mining area.…”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

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Kinship analyses in forensic genetics: when complex hypotheses meet (very) complex genotypes by Marisa Faustino, Leonor Gusmão, António Amorim, Daniel Kling, Nádia Pinto

“…We established the algebraic formulae for the framework and observed that they depend not only on the kinship hypotheses at stake but also on the genotypic configurations of the individuals, and origin of the parental error (maternal or paternal). Additionally, we investigated the probability of the individual with an aneuploidy inheriting a pair of identical-by-descent (IBD) alleles from the disomic gamete. …”
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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

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Electroencephalography-Based Recognition of Low Mental Resilience Using Multi-Condition Decision-Level Fusion Approach by Rumaisa Abu Hasan, Tong Boon Tang, Muhamad Saiful Bahri Yusoff, Syed Saad Azhar Ali

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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

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Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

“…The model trained exclusively on synthetic data (TSTR) outperformed the model trained on real data (TRTR), with error reductions (RMSE decreased by 56.3%, MAE by 58.2%, and MSE by 80.9%) and improved variance explanation (R2 increase of 31.2%). …”
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Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…Through an in-depth study, this research evaluates the accuracy, learning speed, and adaptability of the models in a dynamic industrial environment. …”
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Improved estimation of stomatal conductance by combining high-throughput plant phenotyping data and weather variables through machine learning by Junxiao Zhang, Kantilata Thapa, Geng (Frank) Bai, Yufeng Ge

“…The experiment was conducted in a research field equipped with an HTP platform in 2020 and 2021 involving maize, sorghum, soybean, sunflower, and winter wheat. …”
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Interplay of education and community norms in justifying intimate partner violence among ever-married women aged 15–49 years in Bangladesh: a cross-sectional study by Mohammad Hridoy Patwary, Sumaiya Nusrat Esha

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