Design Guidelines for Fractional Order Cascade Control in DC Motors: A Computational Analysis on Pairing Speed and Current Loop Orders Using Oustaloup’s Recursive Method by Marta Haro-Larrode, Alvaro Gomez-Jarreta

“…This paper develops a computational model for fractional-order cascade control of DC motor speed (external) and current (internal) loops to derive appropriate combinations of internal and external fractional orders. …”
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Theoretical modeling of RF ablation with internally cooled electrodes:Comparative study of different thermal boundary conditions at theelectrode-tissue interface by María J. Rivera, Juan A. López Molina, Macarena Trujillo, Enrique J. Berjano

“…Previous studies on computer modeling of RF ablation with cooledelectrodes modeled the internal cooling circuit by setting surfacetemperature at the coolant temperature (i.e., Dirichlet condition,DC). …”
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Social observation differentially affects prosocial learning of selfish and prosocial people by Yuri Kim, Kun Il Kim, Hackjin Kim

“…A total of 102 participants were randomly assigned to either the observation or control group while performing a two-armed bandit task under self- and other-reward conditions, and their behavioral outcomes were analyzed using a reinforcement learning computational model. Under social observation, participants who were previously less prosocial exhibited increased prosocial learning. …”
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

“…This AVS model not only advances biologically inspired multi-channel processing but also provides a practical framework for efficient, integrated visual processing in computational models.…”
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Unveiling the content of frontal feedback in challenging object recognition by Nastaran Darjani, Jalaledin Noroozi, Mohammad-Reza A. Dehaqani

“…Notably, the observed disparity between human EEG and two deep computational models, both with and without the consideration of feedback connection, emphasize the necessity for expanding models to accurately simulate frontal feedback.…”
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Delayed Spiking Neural P Systems with Scheduled Rules by Qianqian Ren, Xiyu Liu

“…Therefore, it is necessary to introduce the concept of time delay into the membrane computing models. Spiking neural P systems (SN P systems), as an attractive type of neural-like P systems in membrane computing, are widely followed. …”
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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

“…This study presents a computational model utilizing machine learning techniques to predict genes in Chinese cabbage that respond to four abiotic stresses: cold, heat, drought, and salt. …”
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Spatio-temporal models of synthetic genetic oscillators by Cicely K. Macnamara, Mark A. J. Chaplain

“…If the binding reduces the transcription rate there is a negative feedback leading to oscillatory behaviour in mRNA and protein levels, both spatially (e.g. by observing fluorescently labelled molecules in single cells) and temporally (e.g. by observing protein/mRNA levels over time). Recent computational modelling has demonstrated that spatial movement of the molecules is a vital component of GRNs and may cause the oscillations. …”
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Experimental Biomechanics of Neonatal Brachial Plexus Avulsion Injuries Using a Piglet Model by Anita Singh, Kalyani Ghuge, Yashvy Patni, Sriram Balasubramanian

“…Conclusion: The obtained data are required to understand the avulsion injury biomechanics and provide the necessary experimental data for computational model development that serves as an ideal surrogate for understanding complicated birthing injuries in newborns.…”
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IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classificationMendeley Data by Md. Mehedi Hasan Shoib, Shahnewaz Saeem, Afia Benta Aziz Tonima, Mayen Uddin Mojumdar

“…This dataset will help researchers improve disease detection in Black Grams by developing effective computational models and applying advanced machine learning techniques.…”
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IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data by Adnan Rahman Sayeem, Jannatul Ferdous Omi, Mehedi Hasan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty

“…This dataset will help the researchers for further research on Malabar Spinach disease detection implementing various efficient computational models and applying advanced machine learning techniques.…”
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Assessing the Antenna Performance (Radiated Power) and Electromagnetic Impact (SAR) on a User of a Wearable RF Communication Device, Involving Variously Structured Models by Patryk Zradzinski, Jolanta Karpowicz, Krzysztof Gryz

“…The investigations focused on the significance of the structural design of models of a wearable device equipped with a wireless radiofrequency communication module (W-RFCD) operating at 2.45 GHz. Computer modeling was used to determine antenna performance (radiated power and related battery operating time), as well as the associated electromagnetic impact (SAR) in the user’s head. …”
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Kinetics of Solidification and Crystallization of Liquid Axial Zone of Fe-C Alloys in Cylindrical Molds by V. Khrychikov, O. Semenov, Y. Aftandiliants, S. Gnyloskurenko, T. Semenova, H. Meniailo

“…The obtained curves can also be used to assess the accuracy of computer modeling of the processes of Fe-C alloys solidification and further adaptation of mathematical models by the correction of thermophysical coefficients, the values of which are not always known in the liquidus-solidus temperature range.…”
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Biomechanical Investigation of the Efficacy of Conventional Bicycle Helmets at Preventing Facial Injury by Ghaidaa A. Khalid

“…A 3D biofidelic child head form and two conventional bicycle helmets (that is,” open face") were created in MSC ADAMS™ computer modelling and simulation software. Peak force and linear accelerations were measured for a series of head form impact simulations corresponding to an established testing standard and a newly proposed series of tests derived from modified motorcycle standards, incorporating injury thresholds from the facial bone impact tolerance literature. …”
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Altered Left Ventricular Ion Channel Transcriptome in a High-Fat-Fed Rat Model of Obesity: Insight into Obesity-Induced Arrhythmogenesis by Reza Ashrafi, Marianne Yon, Lucy Pickavance, Joseph Yanni Gerges, Gershan Davis, John Wilding, Kun Jian, Henggui Zhang, George Hart, Mark Boyett

“…The potential effects of the mRNA changes on the ventricular action potential and intracellular Ca2+ transient were predicted using computer modelling. Modelling predicted prolongation of the ventricular action potential and an increase in the intracellular Ca2+ transient, both of which would be expected to be arrhythmogenic. …”
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Defining Established and Emerging Microbial Risks in the Aquatic Environment: Current Knowledge, Implications, and Outlooks by Neil J. Rowan

“…Future effective risk-based assessment and management, post definition of the plethora of dynamic inter-related factors governing the occurrence, persistence and/or control of these presently undefined hazards in water will also demand exploiting and harnessing tangential advances in allied disciplines such as mathematical and computer modeling that will permit efficient data generation and transparent reporting to be undertaken by well-balanced consortia of stakeholders.…”
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Ontologies in bioinformatics and systems biology by N. L. Podkolodnyy, O. A. Podkolodnaya

“…In this sense, ontology associated with the entire set of formats, supporting research in systems biology, in particular, computer modeling of biological systems and processes can be regarded as a first approximation to the ontology of systems biology. …”
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Qualitative Properties of the Solution of a Conjugate Problem of Thermal Convection by A. A. Azanov, E. N. Lemeshkova

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Analysis and 3D modelling of percolated conductive networks in nanoparticle-based thin films by Stanislav Haviar, Benedikt Prifling, Tomáš Kozák, Kalyani Shaji, Tereza Košutová, Šimon Kos, Volker Schmidt, Jiří Čapek

“…The generated 3D structures have been then refined to cover the effect of oxidation of as-deposited nanoparticles and non-zero roughness of real films. A computational model incorporating a simplified adsorption model was developed to simulate the effects of oxygen adsorption on the surface conductivity of the nanoparticles. …”
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Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks by Wilson Castillo-Rojas, Juan Bekios-Calfa, César Hernández

“…The objective of this work is based on developing various computational models capable of making short-term forecasting about the generation of photovoltaic energy that is generated in a solar plant. …”
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