Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model by Sheng Jiang, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Shilei Lyu, Zhen Li

“…By optimizing the CIoU loss function, the calculation of overlapping areas, center point distances, and aspect ratios between predicted and ground truth boxes is preserved, thereby accelerating the convergence process and reducing the computational resource requirements on edge devices. …”
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A semantic segmentation-based automatic pterygium assessment and grading system by Qingbo Ji, Qingbo Ji, Wanyang Liu, Wanyang Liu, Qingfeng Ma, Qingfeng Ma, Lijun Qu, Lin Zhang, Hui He

“…The framework merges deep learning with traditional computational methods for comprehensive analysis.ResultsThe semantic segmentation model achieved an average Dice coefficient of 0.9489 (0.9041 specifically for pterygium class) on test datasets. …”
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Mitigation of Methanogenesis in Ruminants Using Wheatgrass Compounds as Methyl Coenzyme M Reductase Inhibitors: An In Silico Study by Ananya Saluguti, Ameer Khusro, Prabhalakshmi Balasubramaniyan, Dhanraj Ganapathy, Maximilian Lackner, Moises Cipriano-Salazar

“…The enzyme methyl coenzyme M reductase (MCR) is crucial for this process in rumen archaea. Targeting MCR via computational tools has emerged as a novel approach to reduce CH4 emissions in ruminants by inhibiting methanogenesis. …”
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Ocular biometric parameters in Chinese preschool children and physiological axial length growth prediction using machine learning algorithms: a retrospective cross-sectional study by Yan Li, Kai Wang, Tao Tang, Heng Zhao, Jingwei Zhou, Mingwei Zhao, Duanke Liu, Xuewei Li, Xiaoqing Shi, Jiahui Ma, Chenxu Zhao

“…Predicted AL was obtained through the application of the Gaussian process regression model as an optimisation technique. …”
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Study of harmful gas migration law and influencing factors after tunnel blasting in high-altitude tunnels under push ventilation conditions by Shigui Fu, Zegong Liu, Jinwei Qiu, Shuai Yang, Guodong Qiao, Gangjian An

“…The study utilizes computational fluid dynamics to explore the temporal and spatial evolution characteristics of CO under various operational conditions. …”
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DCLTV: An Improved Dual-Condition Diffusion Model for Laser-Visible Image Translation by Xiaoyu Zhang, Laixian Zhang, Huichao Guo, Haijing Zheng, Houpeng Sun, Yingchun Li, Rong Li, Chenglong Luan, Xiaoyun Tong

“…However, laser images exhibit significant modal discrepancy in contrast to the visible image, impeding human perception and computer processing. Consequently, it is necessary to translate laser images to visible images across modalities. …”
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Analysis of Stirling engine’s performance in recovering waste heat from wood pellet, coconut husk and bagasse by Nik Kechik Mujahidah NIK ABDUL RAHMAN, Syamimi SAADON, Abd Rahim ABU TALIB, Ezanee GIRES, Hanim SALLEH, Nasser ABDELLATIF

“…Consequently, in this study a computational fluid dynamic (CFD) simulation model of Stirling engine was introduced in order to evaluate the possibility of recovering low temperature waste heat from biomass combustion. …”
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Thermal radiation and thermo-diffusion in Casson-ferrofluid over a magnetized porous surface: RSM analysis by S. Manjunatha, J. Santhosh Kumar, Khalil Ur Rehman, Wasfi Shatanawi, S.V.K. Varma

“…These include heat exchangers, materials research, and a host of other industries, such as food processing, solar trough collectors, and aerospace engineering. …”
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Atrial Cardiomyopathy in Atrial Fibrillation: A Multimodal Diagnostic Framework by Paschalis Karakasis, Panayotis K. Vlachakis, Panagiotis Theofilis, Nikolaos Ktenopoulos, Dimitrios Patoulias, Barbara Fyntanidou, Antonios P. Antoniadis, Nikolaos Fragakis

“…Atrial fibrillation (AF) is increasingly recognized as the clinical manifestation of an underlying atrial disease process rather than a purely electrical disorder. …”
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Simulation of interferometric imaging with EISCAT_3D for fine-scale in-beam incoherent scatter spectra measurements by D. Huyghebaert, D. Huyghebaert, B. Gustavsson, J. Vierinen, A. Kvammen, M. Zettergren, J. Swoboda, I. Virtanen, S. M. Hatch, K. M. Laundal

“…The pre-calculation of the inversion matrix can reduce computational overhead in the imaging solution. This study provides a framework for data processing of ion-line incoherent scatter radar spectra to be imaged at fine scales. …”
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Novel Dynamic Chord Reference Method in Railway Track Irregularity Measurement Based on Vehicle by Yan Wang, Wenbo Zhao, Shibin Wei, Jiyou Fei, Fei Yang, Peng Dai

“…Secondly, the dynamic CRM value is computed by employing the basic chord length of 0.5 m, derived from the pitch angular velocity of the vehicle. …”
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Preferential Solvation of Cyclosporin in Aqueous Mixtures of Some Polymeric Cosolvents by María Ángeles Peña, Olga E. García-Serna, Darío A. Tinjacá, Daniel R. Delgado, Fleming Martínez

“…The preferential solvation parameters of cyclosporin in aqueous binarymixtures of diethylene glycol monoethyl ether (DEGME), polyethylene glycol 200 (PEG 200) andpolyethylene glycol 400 (PEG 400) were computed. Methods: Reported mole fraction solubilities of cyclosporin in DEGME-aqueous mixtures,PEG 200-aqueous mixtures, and PEG 400-aqueous mixtures were processed by following theinverse Kirkwood-Buff integrals (IKBI) method as suggested by Marcus and Ben-Naim using somethermodynamic parameters reported in the literature for these aqueous-polymeric mixtures at298.15 K. …”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Unlike transformers, RetNets overcome this time complexity bottleneck by processing data in parallel during training, and recurrently during inference. …”
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The decrease in zinc‐finger E‐box‐binding homeobox‐1 could accelerate steroid‐induced osteonecrosis of the femoral head by repressing type‐H vessel formation via Wnt/β‐catenin path... by Guangyang Zhang, Yuanqing Cai, Jialin Liang, Zhaopu Jing, Wang Wei, Leifeng Lv, Xiaoqian Dang, Qichun Song

“…Conclusions The ZEB1 expression decreased in SONFH, causing a decrease in type‐H vessel, and it mediated angiogenesis and osteogenesis by regulating the Wnt/β‐catenin pathway, ultimately accelerating the process of SONFH.…”
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Taxonomic hierarchical loss function for enhanced crop and weed phenotyping in multi-task semantic segmentation by Artzai Picon, Daniel Mugica, Itziar Eguskiza, Arantza Bereciartua-Perez, Javier Romero, Carlos Javier Jimenez, Christian Klukas, Laura Gomez-Zamanillo, Till Eggers, Ramon Navarra-Mestre

“…Currently, these tests are conducted manually and assessed visually, making the process time-consuming and labor-intensive. Developing a computer model to characterize species, damage, and growth stages is challenging due to the fine-grained differences between species and damage, significant intra-class variability, and difficulties in manual annotations. …”
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Investment Allocation Method for Distribution Networks Based on a Panel Data Model and an Incentive–Penalty Mechanism by Jian Zhang, Jianzhou Wen, Zhen Lu, Jiang Qian, Ning Wei

“…In response to the current subjectivity and lack of precision in the distribution network investment allocation process, this study proposed a method to allocate the investment amount to distribution networks based on a panel data model and an incentive–penalty mechanism. …”
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Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning by Fei Zhang, Hui Han, Minglin Li, Tian Tian, Guilei Zhang, Zhenrong Yang, Feng Guo, Maomao Li, Yuting Wang, Jiahe Wang, Ying Liu

“…The traditional methods for diagnosing and differentiating tuberculosis (TB) remain thorny issues, particularly in areas with a high TB epidemic and inadequate resources. Processing numerous images can be time-consuming and tedious. …”
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Energy efficiency and productivity improvements analysis in a Brazilian steel plant: simulation model using JaamSim open source software by Rodrigo de Paula Oliveira, Wilson Trigueiro de Sousa Júnior, Roberta Alves, Alexandre Ferreira de Pinho, Helio Tavares de Sá Neto

“…An important technical tool that can help to address these factors together is Discrete Event Simulation (DES), a well-known computational simulation method to support decision-making. …”
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Repurposing major metabolites of lamiaceae family as potential inhibitors of α-synuclein aggregation to alleviate neurodegenerative diseases: an in silico approach by Soham Bhattacharya, Neha Gupta, Adrish Dutta, Pijush Kanti Khanra, Ritesh Dutta, Jana Žiarovská, Nikolay T. Tzvetkov, Lucie Severová, Lenka Kopecká, Luigi Milella, Eloy Fernández-Cusimamani

“…They are molecularly classified based on the specific proteins involved, underscoring the critical role of protein-processing systems in their pathogenesis. Alpha-synuclein (α-syn) is a neural protein that is crucial in initiating and progressing various NDs by directly or indirectly regulating other ND-associated proteins. …”
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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data by Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata

“…To advance the development of materials through data-driven scientific methods, appropriate methods for building machine learning (ML)-ready feature tables from measured and computed data must be established. In materials development, X-ray diffraction (XRD) is an effective technique for analysing crystal structures and other microstructural features that have information that can explain material properties. …”
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