A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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An efficient method for fabricating nanofiber air filters with minimized pressure drop for effective indoor particle removal by Zhuolun Niu, Chun Chen

“…To support practical applications, this study proposed an efficient method for producing electrospun nanofiber air filters that achieve a minimized pressure drop while meeting the target particle filtration efficiency. …”
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Optimal bone-implant contact sites in the zygomatic region for quad zygomatic implants placement: a retrospective study in Vietnamese patients on CBCT by Mi Nguyen-Tra Le, Tri Minh Tran, Phuc Ngoc Nguyen, Hung Chi Vo, Lam Hung Tran

“…This study utilized cone beam computed tomography (CBCT) to identify optimal zygomatic bone regions for implant placement by assessing bone-implant contact (BIC) while minimizing intrusion risks into the infratemporal fossa (ITF). …”
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Lightweight Design of a Connecting Rod Using Lattice-Structure Parameter Optimisation: A Test Case for L-PBF by Michele Amicarelli, Michele Trovato, Paolo Cicconi

“…The approach considers an early DoE analysis to explore the design space, Finite Element Analysis to evaluate the feasibility of possible design solutions, and Artificial Intelligence tools to look for optimal design solutions, including Genetic Algorithms and Response Surface Methods. …”
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection by Ruo-Fei Xu, Zhen-Jing Liu, Shunan Ouyang, Qin Dong, Wen-Jing Yan, Dong-Wu Xu

“…Conclusions This study contributes to the refinement of CES-D by developing a machine learning-derived stratified screening version, offering an efficient and reliable approach that optimizes assessment burden while maintaining excellent psychometric properties. …”
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A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

“…The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. …”
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Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform by Yuqian Zhang, Jie Jiang, Zhan Wang, Qi Zhang, Yudi Jiang, Jun Liu, Zeyao Hou

“…Unsupervised methods, while reducing dependency on paired images, often suffer from limited data priors, leading to artifacts and subpar image quality. …”
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Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic by Bin Yang, Bin Song, Yadegar Abdi

“…The effectiveness of the compact network is increased by using the Flexible Coyote Optimization Algorithm (FCOA), which plays a vital role in optimizing parameters and accelerating convergence. …”
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Optimizing Wound Healing in Radial Forearm Donor Sites: A Comparative Study of Ulnar-Based Flap and Split-Thickness Skin Grafting by Adam Galazka, Katarzyna Stawarz, Karolina Bienkowska-Pluta, Monika Paszkowska, Magdalena Misiak-Galazka

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Computational machine learning estimation of digitoxin solubility in supercritical solvent at different temperatures utilizing ensemble methods by Hadil Faris Alotaibi, Waqed H. Hassan, Ahmed Kateb Jumaah Al-Nussairi, Narinderjit Singh Sawaran Singh, Ahmed Salah Al-Shati, M. M. Rekha, Subhashree Ray, Aashna Sinha, Gunjan Garg

“…This work explores the modeling of digitoxin solubility as the case study in supercritical CO2 and solvent density utilizing ensemble methods. Temperature and pressure are the input parameters, while solvent density and digitoxin solubility are the output parameters. …”
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Aircraft Acquisition Post-Pandemic: Human vs. AI Perspectives using Multi-Criteria Decision Methods by Rizki Akbar Prasetya, Akhmad Hidayatno

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Optimizing Black Soldier Fly (Hermetia illucens) production: effects of substrate variation on biomass, nutritional quality, hatchability, fecundity, and frass quality by Erick O. Ogello, Nicholas O. Outa, Mavindu Muthoka, Fredrick Juma, Fredrick Juma, Jan Hoinkis

“…Frass quality mirrored substrate composition: vegetable waste produced the highest organic matter (75.4 ± 3.9%), while poultry and fish waste frass showed superior nitrogen and phosphorus content, with low C:N ratios (16.9–17.8) favorable for composting.DiscussionThe mixed organic waste emerged as the most effective substrate, optimizing BSF biomass production, nutritional value, reproductive output, and fertilizer potential. …”
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Advancing the Valuation of Grassland Carbon Sinks: A Study of Three Calculation Methods for Fair Value Measurement by Ye Yan, Yujie Liu, Changbai Xiu, Yanli Tian, Muhammad Umer Arshad, Baoyin Dureng

“…Specifically, MOC excels in preliminary carbon pricing during project initiation phases, SP is optimal for mature primary markets with established transaction histories, while OP exhibits superior technical capabilities for projects’ future value estimation in secondary market transactions. …”
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Optimizing high-frequency and low-frequency deep brain stimulation parameters for drug-resistant epilepsy: Mechanisms, clinical outcomes, and future directions by Faeze Sadat Ahmadi Tabatabaei, Mohammad Taghi Joghataei, Kiana Askarian, Leila Riahi Pour, Bita Kouhnavard Pour, Nooshin Ahmadirad

“…Conclusion: While DBS remains a cornerstone for DRE, parameter optimization is critical to balancing efficacy and safety. …”
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Evaluation of Optimized Lumbar Oblique X-Ray Angles with Positioning Assistance for Enhanced Imaging Quality: A Pilot Study in an Asian Cohort by Yu-Li Wang, Hsin-Yueeh Su, Chao-Min Cheng, Kuei-Chen Lee

“…Radiologists evaluated 600 images based on waist-to-hip ratio (WHR) and body mass index to identify the optimal angulation for various body types. <b>Results:</b> For individuals with a WHR of 0.85, a 35° angle provided superior image quality, while 45° was more effective for slimmer patients. …”
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Effects of harvest maturity coupled with various drying methods on the quality and aroma composition of gray jujube powder by Zhanxia Liu, Hongbin Wu, Yinglin Du, Xinwen Jin, Tarun Belwal, Hui Yang, Xizhe Fu

“…Notably, the combination of semi-ripe stage and FD-FID method effectively reduced browning while improving solubility, hygroscopicity, and antioxidant activity of the jujube powder, contributing to the overall enhancement of product quality. …”
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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“… BackgroundVancomycin is commonly dosed using standard weight–based methods before dose adjustments are made through therapeutic drug monitoring (TDM). …”
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AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes by Cao Zhongda

“…To address the problem of poor rendering of virtual city scene, the paper proposes an Artificial Intelligence (AI) based bundle adjustment point cloud optimization model based on cross-entropy loss by combining with the multi-detail hierarchy technique, the rendering efficiency is improved while guaranteeing the high consistency between the 3D model and the real world in terms of geometry. …”
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Optimization of Extraction Process of Rose-orange Essential Oil and Analysis of Its Inhibitory Activity Against HCT116 Colorectal Cancer Cells by Yanjiao LIU, Yajun ZHANG, Jie CHEN, Guosheng XIAO, Qinmin ZHU, Huihui DU, Donglin YANG

“…Extraction yield served as the optimization criterion, and the extraction process was optimized using a combination of single-factor experiments and response surface methodology. …”
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Optimal surgery sequence in the treatment of degenerative hip-spine syndrome: a propensity score-based inverse probability of treatment weighting analysis by Yiming Fan, Yi Huang, Tianhao Wang, Qi Wang, Han yu, Chao Xue, Guoquan Zheng, Yan Wang

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