Integration of transcriptomics and metabolomics data revealed role of insulin resistant SNW1 gene in the pathophysiology of gestational diabetes by Ravi Bhushan, Rimjhim Trivedi, Ritu Raj, Anjali Rani, Sangeeta Rai, Anima Tripathi, Shiv Govind Rawat, Ajay Kumar, Dinesh Kumar, Pawan K. Dubey

“…High-throughput RNA sequencing and computational bioinformatics analyses were conducted to identify novel hub genes, and their regulatory mechanisms were validated through qRT-PCR, western blot, and siRNA-mediated knockdown studies. …”
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Transfer Learning-Based Health Monitoring of Robotic Rotate Vector Reducer Under Variable Working Conditions by Muhammad Umar Elahi, Izaz Raouf, Salman Khalid, Faraz Ahmad, Heung Soo Kim

“…Traditional approaches for HM, including those using vibration and acoustic emission sensors, encounter such challenges as noise interference, data inconsistency, and high computational costs. Deep learning-based techniques, which use current electrical data embedded within industrial robots, address these issues, offering a more efficient solution. …”
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Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

“…Abstract Epitranscriptomic modifications, particularly N6-methyladenosine (m6A), are crucial regulators of gene expression, influencing processes such as RNA stability, splicing, and translation. Traditional computational methods for detecting m6A from Nanopore direct RNA sequencing (DRS) data are constrained by their reliance on experimentally validated labels, often resulting in the underestimation of modification sites. …”
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Characteristics and circulation of archipelagic waters with the three-dimensional hydrodynamic model approach by Suhaemi ., D.G. Bengen, C.P.H. Simanjuntak, A.F. Koropitan

“…A three-dimensional computational model was performed using MIKE3.FINDINGS: The water mass around the Misool Islands are more influenced by the local oceanographic processes than the water masses from the Pacific Ocean. …”
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Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southea... by Furqan Aftab, Furqan Aftab, Furqan Aftab, Furqan Aftab, Mohammad Zafar, Muhammad Iqbal Hajana, John H. Shaw

“…We suggest that it is theoretically possible for the ANN to make predictions about any attribute of the reservoir via bridging target logs and seismic data within a short computation time.…”
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An improved fuzzy time series forecasting model based on hesitant fuzzy sets by Lubna Shafi, Shilpi Jain, Praveen Agarwal, Pervaiz Iqbal, Aadil Rashid Sheergojri

“…The efficiency of the proposed forecasting approach is determined by rigorously comparing it to various computational fuzzy TSF methods in terms of error measurements like Root Mean Square Error (RMSE), Average Forecasting Error (AFE), and Mean Absolute Deviation (Mad). …”
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Marine energy harvesting from fluid flow via vortex induced vibrations by Zahrapanah Razaviyn, Milad Heidari, Sivasakthivel Thangavel, Vikas Verma, Ashwani Kumar, Ashok Kumar Yadav

“…This research study highlights into the dynamics of vortex-induced vibrations (VIV) in a rigid cylinder, employing computational fluid dynamics (CFD) simulations validated against experimental data. …”
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Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology by Yihao Hou, Yihao Hou, Christoph Bert, Christoph Bert, Christoph Bert, Ahmed Gomaa, Ahmed Gomaa, Ahmed Gomaa, Godehard Lahmer, Godehard Lahmer, Godehard Lahmer, Daniel Höfler, Daniel Höfler, Daniel Höfler, Thomas Weissmann, Thomas Weissmann, Thomas Weissmann, Raphaela Voigt, Raphaela Voigt, Raphaela Voigt, Philipp Schubert, Philipp Schubert, Philipp Schubert, Charlotte Schmitter, Charlotte Schmitter, Charlotte Schmitter, Alina Depardon, Alina Depardon, Alina Depardon, Sabine Semrau, Sabine Semrau, Sabine Semrau, Andreas Maier, Rainer Fietkau, Rainer Fietkau, Rainer Fietkau, Yixing Huang, Yixing Huang, Florian Putz, Florian Putz, Florian Putz

“…The QLoRA algorithm provides an efficient method for local intra-institutional fine-tuning of LLMs with limited computational resources (i.e., a single 48 GB GPU workstation within the hospital). …”
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Optimized design of a fault-tolerant 12-slot/10-pole six-phase surface permanent magnet motor with asymmetrical winding configuration for electric vehicles by Mahmoud Y. Mohamed, Mahmoud Fawzi, Ahmed Kalas, Ayman S. Abdel-Khalik, Shehab Ahmed, Ahmed Refaat

“…K-means clustering techniques are then employed to identify distinct loading points that accurately represent the full EV driving cycle, effectively minimizing computational power requirements. Following this, the Full Range Minimum Loss (FRML) strategy is applied to determine optimal current profiles across these loading points, significantly reducing copper losses. …”
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Theoretical and Practical Issues That Are Relevant When Scaling Up hMSC Microcarrier Production Processes by Valentin Jossen, Cedric Schirmer, Dolman Mostafa Sindi, Regine Eibl, Matthias Kraume, Ralf Pörtner, Dieter Eibl

“…Recent publications focusing on microcarrier-based stirred bioreactors have demonstrated the successful use of Computational Fluid Dynamics (CFD) and suspension criteria (NS1u, NS1) for rapidly scaling up hMSC expansions from mL- to pilot scale. …”
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A Novel Back‐Calculation Approach to Estimate Ocean Anthropogenic Carbon Using Carbon‐Based Data and a Total Matrix Intercomparison Method by M. López‐Mozos, F. F. Pérez, L. I. Carracedo, G. Gebbie, A. Velo

“…No single optimal BC method exists to date for computing Cant; therefore, it is necessary to continue advancing the broad range of approaches. …”
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Exploring the effects of ecological parameters on the spatial structure of genetic tree sequences by Ianni-Ravn, Mariadaria K., Petr, Martin, Racimo, Fernando

“…Recently, the development of highly flexible simulation tools and computational methods for genealogical inference has greatly increased the potential for incorporating space into models of population genetic variation. …”
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The identification of a SARs-CoV2 S2 protein derived peptide with super-antigen-like stimulatory properties on T-cells by Thai Hien Tu, Fatima Ezzahra Bennani, Nasser Masroori, Chen Liu, Atena Nemati, Nicholas Rozza, Amichai Meir Grunbaum, Richard Kremer, Catalin Milhalcioiu, Denis-Claude Roy, Christopher E. Rudd

“…In this study, we identify a region in the SARS-CoV-2 S2 spike protein with sequence homology to bacterial super-antigens (termed P3). Computational modeling predicts P3 binding to sites on MHC class I/II and the TCR that partially overlap with sites for the binding of staphylococcal enterotoxins B and H. …”
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Social media activism and women's health: Endometriosis awareness and support by Hyunjin Seo, K. Macy Burkett, Moses Okocha, Huong Ha, Rim Chaif, Nazra Izhar, Michaella Barros Coelho, Blessing Jona, Azhar Iqbal

“…Methods We used a mixed-method approach of combining computational analyses (topic modeling and word association) and human coding (qualitative thematic analysis) of Instagram posts on endometriosis. …”
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Impact of Branch Pipe Valve Closure Procedures on Pipeline Water Hammer Pressure: A Case Study of Xinlongkou Hydropower Station by Zilong Li, Jin Jin, Zhanpeng Pan, Jianren Sun, Kaiqiang Geng, Yu Qiao

“…The Bentley Hammer calculation software was used to simulate the changes in water hammer pressure in the pipeline and unit terminal valves under various valve closure scenarios. Additionally, computational fluid dynamics (CFD) was applied to analyze the dynamic effects of different factors on the water hammer in the branch pipelines of the station. …”
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Exploring the entrepreneurial behavior of vegetable growers: influential factors and implications for agricultural development by Niyati Thakur, Ravinder Sharma, Pankaj Thakur, Shilpa, Ashutosh Chaturvedi, Richa Khushwaha, Saswat Kumar Pani, Vijay Kumar Yadav, Akash Gaurav Singh, Ajit Sharma, Prashant Sharma

“…Whereas, data were analyzed using various statistical techniques including Entrepreneurial behavior index computation and Kendall’s tau correlation.ResultsThe results of the study reveal noteworthy associations between factors such as farm income, experience in protected cultivation, area allocated for polyhouse cultivation and extension contact with entrepreneurial behavior. …”
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Phthalazine based hydrazone as potent radical scavenger: Synthesis, spectral characterization, single crystal X-ray diffraction, DFT studies, molecular docking, ADME, antioxidant a... by Surya Uthrapathy, Balasankar Thirunavukkarasu, Kodisundaram Paulrasu, Tanzeer Ahmad Dar, Manikandan Palrasu, Morris Princey, Krishnapriya Thangaretnam, Vinoth Murali

“…FT-IR, 1H & 13C NMR, and Mass spectrometry were used to determine their structures, while Single crystal X-ray diffraction studies identified the hydrazone tautomer. Computational studies employing density functional theory (DFT) indicated that the compounds exhibited an E-configuration about the hydrazone linkage and provided insights into the chemical reactivity and stability through FMO energies and Mulliken charge analysis. …”
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Definition of minimum clearance height of railway bridges in a windblown sand area based on numerical simulation by Xian Zhang, Shengbo Xie, Yingjun Pang

“…To investigate the effect of beam clearance height on wind-sand movement near the surface, and to determine the minimum clearance height for railway bridges in such areas, computational fluid dynamics using the Euler-Euler two-phase flow model was employed to simulate the wind-sand flow field beneath bridges with different heights. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning by Ali Safi, Elisa Giunti, Omar Melikechi, Weiming Xia, Noureddine Melikechi

“…Proteins in the plasma were quantified using specialized panels designed for proteomic extension assays. Through computational analysis using a linear support vector machine algorithm, we identified 82 differentially expressed proteins between the two groups. …”
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