In Silico Study of Bioactive Compounds from Yellow Bioherbal as Potential LpxC Protein Inhibitors for Controlling Pathogenic Bacteria in Broiler Chicken Intestinal by Zaen Yusuf, Muhammad Halim Natsir, Osfar Sjofjan

“…Molecular docking served as the initial screening process, evaluating 48 bioactive compounds based on energy affinity, conformation values, and interactions with protein residues. …”
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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…Existing speech recognition models struggle with diverse accents, variations in speaking styles, and computational efficiency, reducing their effectiveness in real-world applications. …”
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Final-state control for a system with load displacement-dependent stiffness in a two-inertia system by Mitsuo HIRATA, Rikuto NOMURA, Masayasu SUZUKI, Hiroshi ARAYA, Yoichi IGARASHI

“…These findings suggest that TVFSC provides an effective and computationally efficient alternative to vibration-suppressed positioning control in actuators with displacement-dependent stiffness.…”
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Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Our results reveal that while both methods provide consistent model parameter estimates, the modern SBI workflow yields significantly richer inferred distributions at an equivalent computational cost. We identify the computational scenarios that favor the modern SBI method over its classical counterpart, and propose a plausible strategy to exploit the complementary strengths of both workflows for enhanced parameter space exploration.…”
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Hybrid Deterministic Sensing Matrix for Compressed Drone SAR Imaging and Efficient Reconstruction of Subsurface Targets by Hwi-Jeong Jo, Heewoo Lee, Jihoon Choi, Wookyung Lee

“…After establishing the principles of signal sampling and recovery, SAR imaging simulations are conducted to evaluate the performance of the proposed method with respect to data compression, processing speed, and recovery accuracy. …”
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A Stability- and Aggregation-Based Method for Heart Rate Estimation Using Photoplethysmographic Signals During Physical Activity by Sabrina C. Crepaldi, Jiabin Wang, Fumiya Matsumoto, Hiroki Takeuchi, Tatsuhiko Watanabe, Yoshiharu Yamamoto

“…Although deep learning methods have shown promise in heart rate estimation and motion artifact removal from PPG signals recorded during physical activity, their computational requirements and need for extensive training data make them less practical for real-world conditions when ground truth data is unavailable for calibration. …”
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Upper body posture changes during sitting in female office workers with lower crossed syndrome by Pailin Puagprakong, Aris Kanjanasilanont, Wannaporn S. Brady, Kanphajee Sornkaew

“…Methods: Fifty-four office workers who use computer for at least 4 h/day, work for at least 5 years were recruited. …”
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H-ConvLSTM to Estimate Reference Evapotranspiration From Air Temperature and Relative Humidity by Abdul Haris, M. Marimin, Sri Wahjuni, Budi Indra Setiawan

“…This study aims to facilitate the computational process on devices with limited processing capabilities. …”
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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…STVMamba achieves high parallel computational efficiency, operates with linear time complexity, and excels at modeling long-range dependencies, overcoming the shortcomings of previous deep learning methods. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection by Debasish Ghose, Ayan Chatterjee, Indika A. M. Balapuwaduge, Yuan Lin, Soumya P. Dash

“…The publicly available SWELL-KW dataset has been utilized for evaluating the performance of our models. Our results demonstrate that lightweight models such as k-NN and Decision Tree can achieve competitive accuracy while ensuring lower computational demands, making them ideal for real-time applications. …”
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The impact of stenosis treatment on the hemodynamic crosstalk between carotid arteries by Valentina Ceserani, Michele Conti, Nicoletta Curcio, Francesco Secchi, Irene Baroni, Vlasta Bari, Paolo Righini, Giovanni Nano, Daniela Mazzaccaro

“…Both sides’ anatomical and hemodynamic remodeling parameters were evaluated before and after treatment. Forty-two patients underwent computed tomography angiography (CTA) and phase-contrast magnetic resonance imaging (PC-MRI) to measure carotid diameters and flow rates in the common, internal, and external carotids (CCA, ICA, and ECA, respectively) before and after CAS or CEA. …”
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Numerical Simulation of Turbulent Flow in River Bends and Confluences Using the k-ω SST Turbulence Model and Comparison with Standard and Realizable k-ε Models by Rawaa Shaheed, Abdolmajid Mohammadian, Alaa Mohammed Shaheed

“…The simulations were performed using OpenFOAM, an open-source computational fluid dynamics (CFDs) platform, with the k-ω SST (Shear Stress Transport) turbulence model, which is well-suited for capturing boundary layer behavior and complex turbulence structures. …”
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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…Our FL approach updates the global model in an asynchronous manner to achieve accurate and efficient anomaly detection, addressing computational overhead across diverse edge clients, including those that experience delays. …”
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Early markers of athrosclerotic cardiovascular diseases and osteoporotic fractures in a postmenopausal woman (сlinical case) by М. А. Kolchina, O. V. Kosmatova, V. E. Novikov, I. A. Skripnikova

“…Laboratory tests were performed to evaluate blood lipids level, calcium-phosphorus metabolism, determine marker of bone resorption – CTX (β-crosslaps), measure levels of vitamin D and parathyroid hormone. …”
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Role of image guided fine needle aspiration cytology of lung lesions in patients visiting Gandaki Medical College by Sunita Ranabhat, Suman Poudel, Gita Pun, Anita Awale

“…Background: Computed Tomography guided Fine needle aspiration cytology of lung mass is an effective modality to diagnose lung cancer. …”
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Genetic diversity of Trichoderma spp. isolated from alkaline pistachio soils using morphological and molecular characteristics by Hossein Alaei, Fahimeh Mirkhani, Amirhossein Mohammadi, Masoumeh Haghdel

“…The four primers produced DNA bands for the 16 Trichoderma isolates, of which 81 (95.3%) were polymorphic, and four (4.7%) were monomorphic. The RAPD data was computed into a similarity matrix using the NTSYS computer program. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…In recent studies, computer vision and human-computer interaction have focused heavily on facial expression recognition (FER). …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This, alongside their high computational and memory demands, limits the applicability of CNNs for edge deployment and applications where computational resources are constrained. …”
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Brief discussion on the artificial boundary conditions in numerical simulation of seismic wave motion by Xun Zhang, Haojie Xing, Ruixuan Zeng, Xiaojun Li

“…ABC is essentially a collective name for all computation methods used to calculate the motion on an artificial boundary caused by out-going waves. …”
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