Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

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Computational Evaluation of the Structural, Topological, and Solvent Effects on the Nonlinear Optical Properties of 1-Methylurea Butanedioic Acid Crystal by Stanley Numbonui Tasheh, Nyiang Kennet Nkungli, Charly Tedjeuguim Tsapi, Dodo Lydie Ajifac, Julius Numbonui Ghogomu

“…Geometric and infrared parameters were calculated and compared with experimental values. …”
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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

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The Extent of Honeycombing on Computed Tomography Cannot Predict the Treatment Outcome of Patients with Acute Exacerbations of Interstitial Lung Disease by Yurika Nishikawa, Yu Hara, Yoichi Tagami, Ryo Nagasawa, Kota Murohashi, Ayako Aoki, Katsushi Tanaka, Keisuke Watanabe, Nobuyuki Horita, Nobuaki Kobayashi, Masaki Yamamoto, Makoto Kudo, Takeshi Kaneko

“…The purpose of this retrospective study was to clarify whether the presence of honeycombing on computed tomography (CT) can affect the prognosis of patients with acute exacerbations (AEs) of interstitial lung diseases (ILDs). …”
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Attention-Guided Deep Reinforcement Learning for Realistic Neural Painting by Xin Huang, Minglun Gong

“…Specifically, the attention module computes an attention map to guide stroke generation, and a feature-masked reward function prioritizes important regions. …”
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Photodynamic Efficiency of Xanthene Dyes and Their Phototoxicity against a Carcinoma Cell Line: A Computational and Experimental Study by Suelen T. G. Buck, Fernanda Bettanin, Ednilson Orestes, Paula Homem-de-Mello, Hidetake Imasato, Rommel B. Viana, Janice R. Perussi, Albérico B. F. da Silva

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Computational exploration of a viable route to the Kitaev-quantum spin liquid phase in monolayer OsCl_{3} by Qiangqiang Gu, Shishir Kumar Pandey, Yihao Lin

“…In this computational study, we explore a viable route to access the Kitaev-quantum spin liquid (QSL) state in a recently synthesized monolayer of a so-called spin-orbit assisted Mott insulator OsCl_{3}. …”
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Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review by Xinyi Leng, Yu Liu, Thomas W Leung, Shuang Li, Xuan Tian, Haipeng Liu, Yuying Liu, Ziqi Li

“…Background Recently, computational fluid dynamics (CFD) has been used to simulate blood flow of symptomatic intracranial atherosclerotic stenosis (sICAS) and investigate the clinical implications of its haemodynamic features, which were systematically reviewed in this study.Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis of Observational Studies in Epidemiology statements, we searched PubMed and Embase up to March 2024 and screened for articles reporting clinical implications of haemodynamic parameters in sICAS derived from CFD models.Results 19 articles met the inclusion criteria, all studies recruiting patients from China. …”
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PRO-BiGRU: Performance Evaluation Index System for Hardware and Software Resource Sharing Based on Cloud Computing by Nan Wang

“… This study aims to address the performance evaluation challenges of computer hardware and software resource sharing in cloud computing environments. …”
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Effects of Aerodynamic Parameters on Performance of Galloping Piezoelectric Energy Harvester Based on Cross-Sectional Shape Evolutionary Approach by Xiaokang Yang, Bingke Xu, Zhendong Shang, Junying Tian, Haichao Cai, Xiangyi Hu

“…The effects of the aerodynamic parameters on performance are investigated computationally using a distributed parameter electromechanical coupling model. …”
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…The computed Approximate Entropy values for each load and configuration are then used as features in the proposed algorithm. …”
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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

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DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments by Ping Yu, Baoshu Zong, Xiaozhong Geng, Hui Yan, Baijin Liu, Cheng Chen, Hupeng Liu, Xiaoqing Xu

“…A novel fusion convolution, DGSConv, replaced the standard convolutions and effectively reduced the number of parameters while retaining detailed feature information. …”
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Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data by Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon

“…The measurement system considers the spatial distribution of the materials parameters to gather and predict large amounts of data by treating an inhomogeneous device as a series of thousands of micro‐devices, a novel feature compared to existing solutions. …”
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Theoretical studies of increasing the efficiency of mass transfer of magnetite suspension based on changes in the hydrodynamic parameters of the decontamination process by A.Y. Kryvenko, O.V. Bulakh, T.A. Oliinyk, S.A. Ruban

“…The presented mathematical models can vary the necessary parameters of the magnetic desolation process, taking into account the design features of the device itself and the power supply device, in order to obtain the final product of a given quality.…”
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The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules by Peng Yun, Zhencheng Zhan, Zijing Wu, Yutong Rao, Ke Sun, Lianggeng Gong

“…Abstract Purpose To explore the added value of quantitative parameters derived from routine chest contrast-enhanced computed tomography (CECT) in distinguishing malignant from benign solid pulmonary nodules (SPNs). …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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Decoding growth parameters of small pelagics: a critical examination of model effectiveness with a focus on the European anchovy by Margarita Rincón Hidalgo, Margarita Rincón Hidalgo, MariAngeles Gamaza, MaJosé Zúñiga, Fernando Ramos, Jorge Tornero

“…The results address a significant gap in existing integrated models used for scientific advice, which often do not have the “random effects on parameters” feature. Notably, this framework is widely applicable to other short-lived small pelagic species that typically exhibit a high data variability, offering a valuable solution for improving efficiency and robustness in fisheries management decision-making.…”
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Cone beam computed tomography findings as prognostic factors for maxillary sinus membrane perforation during maxillary sinus augmentation by Yifat Manor, Aya Khadija, Lazar Kats

“…The aim of the present study was to analyse cone beam computed tomography (CBCT) findings to identify prognostic factors for SM perforation. …”
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Hemodynamic-Based Evaluation on Thrombosis Risk of Fusiform Coronary Artery Aneurysms Using Computational Fluid Dynamic Simulation Method by Haoran Wang, Hitomi Anzai, Youjun Liu, Aike Qiao, Jinsheng Xie, Makoto Ohta

“…Four three-dimensional models were constructed, representing coronary arteries with a normal diameter (1x) and CAAs with diameters two (2x), three (3x), and five times (5x) that of the normal diameter. A lumped parameter model (LPM) which can capture the feature of coronary blood flow supplied the boundary conditions. …”
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