TCSRNet: a lightweight tobacco leaf curing stage recognition network model by Panzhen Zhao, Panzhen Zhao, Songfeng Wang, Shijiang Duan, Aihua Wang, Lingfeng Meng, Yichong Hu

“…Due to the constraints of the tobacco leaf curing environment and computational resources, current image classification models struggle to balance recognition accuracy and computational efficiency, making practical deployment challenging. …”
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Prostruc: an open-source tool for 3D structure prediction using homology modeling by Shivani V. Pawar, Wilson Sena Kwaku Banini, Musa Muhammad Shamsuddeen, Toheeb A. Jumah, Nigel N. O. Dolling, Abdulwasiu Tiamiyu, Olaitan I. Awe

“…Second, it evaluates model quality via QMEANDisCo to ensure high accuracy.ResultsThe top five models are selected based on these metrics and provided to the user. …”
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Wind farm capacity factor forecasting: An Australian case study by Aiman Albatayneh, Ragheb AbuAlRous, Merlinde Kay, Ramez Abdallah, Adel Juaidi, Amos García-Cruz, Francisco Manzano-Agugliaro

“…These observations were used to compute the wind farm's actual capacity factor and average wind speed. …”
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Unique and overlapping mechanisms of valbenazine, deutetrabenazine, and vitamin E for tardive dyskinesia by Chao Li, Chuanjun Zhuo, Xiaoyan Ma, Ranli Li, Ximing Chen, Yachen Li, Qiuyu Zhang, Lei Yang, Hongjun Tian, Lina Wang

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Study on the Optimal Number of Transducers for Pipe Flow Rate Measurement Downstream of a Single Elbow Using the Ultrasonic Velocity Profile Method by Sanehiro Wada, Kenichi Tezuka, Weerachon Treenuson, Nobuyushi Tsuzuki, Hiroshige Kikura

“…The optimal number of transducers is estimated based on the sampling theorem. To evaluate this method, a preliminary experiment and numerical simulations using Computational Fluid Dynamics (CFD) are conducted. …”
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Achieving stable implosion through hydro-equivalent analysis for direct-driven inertial confinement fusion by Z. Li, X.H. Yang, G.B. Zhang, B. Zeng, B.H. Xu, Z.H. Chen, Y.Y. Ma, F.Q. Shao, J. Zhang

“…Modeling the evolution of RTI by using high-dimensional radiation hydrodynamics simulations requires significant computational resources. In this paper, we present a novel approach to evaluate and predict the growth of RTI in direct-driven ICF. …”
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Sternal closure in patients with the high risk of sternal dehiscence by D. S. Panfilov, E. L. Sonduev, M. S. Kuznetsov, B. N. Kozlov

“…The efficacy of the «double twist» sternal closure was evaluated on the basis of clinical examination and multispiral computed tomography of the chest.Results. …”
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Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system by Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris

“…The novelty of this approach is that, by applying this methodology extensively in space and time, the probability curves of the variable T for each warning level are computed, allowing to evaluate the consistency between the warnings and the actual (estimated) severity of the event. …”
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Effects of virtual reality therapy on upper limb function after stroke and the role of neuroimaging as a predictor of a better response by Maicon Gabriel Gonçalves, Mariana Floriano Luiza Piva, Carlos Leonardo Sacomani Marques, Rafael Dalle Molle da Costa, Rodrigo Bazan, Gustavo José Luvizutto, Luiz Eduardo Gomes Garcia Betting

“…Lesions were segmented in the post-stroke computed tomography. A voxel-based lesion-symptom mapping approach was used to investigate the relationship between the lesion and upper limb function. …”
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Comparative Analysis of Fixed and Variable Step Size Methods for Solving Ordinary Differetial Equations: A Case Study of Runge-Kutta Order 4 and Dormand Prince. by Byonaneebye, Darius

“…It uses six function evaluations to compute solutions with fourth and fifth-order accuracy. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…Methods The proposed MTL framework was evaluated using endoscopic images of UC, focusing on its ability to classify disease stages with an emphasis on the accurate detection of advanced cases. …”
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Comparison of volumetric analysis between conventional and rotary files in the preparation of root canals in primary molars—an in vitro study by Satish Vishwanathaiah

“…BackgroundTo compare and evaluate the efficacy of canal preparation and volumetric filling of primary molars instrumented by conventional hand K-file, ProAF baby rotary file and Kedo-S square file using cone beam computed tomography.Materials and methodsThirty freshly extracted human primary second molars were randomly divided into 3 groups of 10 teeth each. …”
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Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. …”
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A Comparative Study of Linearization Techniques With Adaptive Block Hybrid Method for Solving First-Order Initial Value Problems by Salma Ahmedai, Precious Sibanda, Sicelo Goqo, Osman Noreldin

“…The efficiency and accuracy of these techniques are evaluated through solving nonlinear differential equations. …”
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Wavelet filterbank‐based EEG rhythm‐specific spatial features for covert speech classification by Sukanya Biswas, Rohit Sinha

“…The proposed approach has the potential to be useful in other brain‐computer interface paradigms that employ EEG signals.…”
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FruitNet: Lightweight CNN for High-Throughput Image-Based Fruit Yield Estimation by Yadav Kamlesh Kumar, Tandan Gajendra

“…A streamlined architectural design of FruitNet with minimal computational load but maintaining high prediction accuracy is devised. …”
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The impact of microburst-induced load variations on aircraft performance through numerical simulation by Ali Pourmoradi, Mehdi Sabzehparvar

“…This process facilitates the computation of microburst effects that vary with both time and space for each individual element. …”
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Numerical simulations in the Mala Nitra stream by 1D model by Lenka Szomorová, Peter Halaj

“…The next task was carrying out the model sensitivity analysis, which means to evaluate input data influences, especially longitudinal dispersion coefficient, on outputs computed by 1-dimensional simulation model HEC-RAS. …”
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Assessment of the axisymmetric load acting on the bogie frame of a wagon during derailment by G. I. Gadzhimetov

“…It confirms the need for refinement of design methods to ensure reliability and safety of cars in service.Materials and methods. Methods of computational analysis and computer modelling were used to determine the loading scheme and the magnitude of the axisymmetric load; experimental work was carried out on a passenger carriage with two-axle bogies and an all-welded frame in which the side beams are rigidly connected by cross beams.Results. …”
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Detection of Covid-19 from Chest CT Images using Xception Architecture: A Deep Transfer Learning based Approach by Özlem Polat

“…The results promise that the proposed method can be evaluated as a clinical option helping experts in the detection of Covid-19 from CT images.…”
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