Protein Folding: Search for Basic Physical Models by Ivan Y. Torshin, Robert W. Harrison

“…In particular, elaboration of such simple models is likely to produce extremely effective computational techniques with value for modern genomics.…”
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A novel computational analysis of boundary-driven two-dimensional heat flow with internal heat generation by Muhammad Abid, Madiha Bibi, Nasir Yasin, Muhammad Shahid

“…The transient heat equation is integrated in time via the Crank-Nicolson implicit scheme, also utilizing conjugate gradients.The methods effectively compute solutions matching analytical and boundary conditions. …”
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Development of the intelligent traffic light system based on image processing and fuzzy control techniques by Hoang Dung Nguyen, Hoang-Dang Le, Van Khanh Nguyen, Hung Minh Lam

“…The fuzzy logic model and the programmable logic controller were able to effectively compute reasonable signal timings based on real-time vehicle density. …”
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Damage Behaviour of Quasi-Brittle Composites: Mathematical and Computational Aspects by Jiří Vala, Jiří Tomáš

“…Nevertheless, all of the software packages reflect certain compromises between the need for effective computational tools, with parameters obtained from inexpensive experiments, within the possibilities and the complexity of both physical and geometrical descriptions of structure deformation within processes. …”
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Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma by Liam Burrows, Declan Sculthorpe, Hongrun Zhang, Obaid Rehman, Abhik Mukherjee, Ke Chen

“…This study aimed to develop a robust method to automate stromal stain analyses using 2 of the commonest stromal stains (SMA and desmin) employed in clinical pathology practice as examples. An effective computational method capable of automatically assessing and quantifying tumour-associated stromal stains was developed and applied on cores of colorectal cancer tissue microarrays. …”
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Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies by Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi

“…This paper overviews one of the most important, interesting, and challenging problems in oncology, the problem of lung cancer diagnosis. Developing an effective computer-aided diagnosis (CAD) system for lung cancer is of great clinical importance and can increase the patient’s chance of survival. …”
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A Decade in Software-Based Side and Covert Channel Attacks and Countermeasures: A Survey by Teodora Vasilas, Remus Brad

“…Furthermore, we examine defense mechanisms, assessing their effectiveness, computational overhead, and applicability across various attack scenarios. …”
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Comparison of Electric Field Calculation Methods for Optimization Routines to Design Medium-Frequency Transformer Insulation by Bastian Korthauer, Jurgen Biela

“…Such optimization requires fast and accurate electric field computations in several critical regions of the MFT, making the choice of effective computation methods essential. This paper compares suitable methods, including the Schwarz-Christoffel transformation (SCT), the charge simulation method (CSM), and commonly used analytical approaches, by benchmarking them against nearly 4000 finite element analysis (FEA) simulations. …”
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Generative Artificial Intelligence in Computer Programming: Does It Enhance Learning, Motivation, and the Learning Environment? by Claudio Cubillos, Rafael Mellado, Daniel Cabrera-Paniagua, Enrique Urra

“…This study aims to determine the capacity of GenAI to generate effective computer programming learning in STEM university students, comparing it with active learning methods based on video. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…The PMS model, validated against measured data, effectively computes the incident boundary conditions for the BW model, which in turn has been refined to enhance wave prediction accuracy and model stability through optimized boundary settings. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…To overcome these limitations, hybrid structures that integrate multiple techniques have emerged as effective computational methods, offering superior performance and efficiency compared to single-method solutions. …”
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Full Downwind Turbine Simulations Using Actuator Line Method by A. Matiz-Chicacausa, Omar D. Lopez

“…The case study used is the Unsteady Aerodynamics Experiment (UAE) Phase VI turbine to analyze its suitability in capturing the tower shadow effect. Computational Fluid Dynamics (CFD) simulations were carried out using the open-source code OpenFOAM and the class of horizontal wind turbine AL from the toolbox SOWFA developed by the National Renewable Energy Laboratory (NREL). …”
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A Fast Approach for Reoptimization of Railway Train Platforming in Case of Train Delays by Yongxiang Zhang, Qingwei Zhong, Yong Yin, Xu Yan, Qiyuan Peng

“…In addition, the model and algorithm developed in this paper can provide an effective computer-aided decision-making tool for the train dispatchers in case of train delays.…”
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CESE Schemes for Solar Wind Plasma MHD Dynamics by Yun Yang, Huichao Li

“…Among these, the space–time conservation element and solution element (CESE) method stands out as an effective computational approach. Unlike traditional numerical schemes, the CESE method significantly enhances accuracy, even at the same base point. …”
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Predicting Scattering From Complex Nano-Structures via Deep Learning by Yongzhong Li, Yinpeng Wang, Shutong Qi, Qiang Ren, Lei Kang, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner

“…Recent advances in deep learning (DL) techniques have demonstrated superior efficiency and provide an alternative pathway for speeding up simulations by serving as effective computational tools. In this paper, we propose a DL framework for real-time predictions of the scattering from an isolated nano-structure in the near-field regime. …”
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Artificial Intelligence in Bronchopulmonary Dysplasia: A Review of the Literature by Tony Jha, Sana Suhail, Janet Northcote, Alvaro G. Moreira

“…This study aims to provide a comprehensive summary of current AI applications in BPD risk stratification, treatment, and management and seeks to guide future research towards developing practical and effective computational tools in neonatal care. This review highlights breakthroughs in predictive modeling using clinical-, genetic-, biomarker-, and imaging-based markers. …”
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Successful percutaneous transhepatic lymphangiography and embolization for intractable hepatic lymphorrhea after laparoscopic distal gastrectomy: a case report by Kohei Harigane, Hiroshi Nemoto, Yoshiyuki Yoshida, Hiromasa Komori, Hideki Sarukawa, Naoki Yazawa, Taku Miyamae

“…She underwent percutaneous transhepatic lymphangiography and embolization on postoperative day 81, with obvious effect. Computed tomography images demonstrated complete disappearance of ascites. …”
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Spatial–Spectral Interaction Super-Resolution CNN–Mamba Network for Fusion of Satellite Hyperspectral and Multispectral Image by Guangwei Zhao, Haitao Wu, Dexiang Luo, Xu Ou, Yu Zhang

“…However, these methods do not fully utilize the characteristics of data for network design, and cannot guarantee effective computational efficiency in extracting local and global features. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…This model offers an effective computational solution for CAB prediction and holds significant potential for advancing our understanding of plant functional traits, ultimately supporting agricultural and conservation efforts in a changing climate.…”
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A Flight Slot Optimization Model for Beijing-Tianjin-Hebei Airport Cluster Considering Capacity Fluctuation Factor by Jie Ren, Shiru Qu, Lili Wang, Changjie Liu, Lijing Ma, Zhiyuan Sun

“…A case study based on real-world data from the Beijing-Tianjin-Hebei region demonstrates the model’s effectiveness. Computational experiments show that incorporating capacity fluctuations significantly reduces the need for slot adjustments, particularly at secondary airports with volatile demand. …”
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