Human umbilical cord blood cells suffer major modification by fixatives and anticoagulants by Roberta Danusso, Roberta Danusso, Riccardo Rosati, Luca Possenti, Elena Lombardini, Francesca Gigli, Maria Laura Costantino, Enrico Ferrazzi, Giustina Casagrande, Giustina Casagrande, Debora Lattuada

“…Additionally, such information is crucial in computational models increasingly being employed to simulate biological events.…”
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NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use by Satya S. Sahoo, Matthew D. Turner, Lei Wang, Jose Luis Ambite, Abhishek Appaji, Arcot Rajasekar, Howard M. Lander, Yue Wang, Jessica A. Turner

“…The NeuroBridge ontology is a computable model of provenance terms to implement FAIR principles and together with an international effort to annotate full text articles with ontology terms, the ontology enables users to locate relevant neuroimaging datasets.MethodsBuilding on our previous work in metadata modeling, and in concert with an initial annotation of a representative corpus, we modeled diagnosis terms (e.g., schizophrenia, alcohol usage disorder), magnetic resonance imaging (MRI) scan types (T1-weighted, task-based, etc.), clinical symptom assessments (PANSS, AUDIT), and a variety of other assessments. …”
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Possibilities of personalized finite element segmental analysis of the cervical spine for predicting the course of dorsopathy by E. V. Yakovlev, A. L. Ovsepyan, S. A. Zhivolupov, A. A. Smirnov, E. N. Gnevyshev

“…Based on the combined data of computed and magnetic resonance imaging of the patient (female, born in 1951), a model of the C5 – C7 segment was generated, including: vertebrae C5, C6, C7, IVD, anterior and posterior longitudinal ligaments, two pairs of facet joints, spinal cord, nuchal ligament. Computer modeling and finite element method were used to  analyze the stress-strain state of the cervical spine of a patient with degenerative-dystrophic changes in the C2 – C7 segments. …”
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The importance of parameterization when simulating the hydrologic response of vegetative land-cover change by J. White, V. Stengel, S. Rendon, J. Banta

“…Computer models of hydrologic systems are frequently used to investigate the hydrologic response of land-cover change. …”
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Colloidal Physics Modeling Reveals How Per-Ribosome Productivity Increases with Growth Rate in Escherichia coli by Akshay J. Maheshwari, Alp M. Sunol, Emma Gonzalez, Drew Endy, Roseanna N. Zia

“…Yet, faster-growing cells are more crowded, seemingly making it harder for each ribosome to do its work. Our computational model of the physics of translation elongation reveals the underlying mechanism for how individual ribosomes become more productive: proximity and stoichiometry of translation molecules overcome crowding. …”
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Conserved allosteric inhibition mechanism in SLC1 transporters by Yang Dong, Jiali Wang, Rachel-Ann Garibsingh, Keino Hutchinson, Yueyue Shi, Gilad Eisenberg, Xiaozhen Yu, Avner Schlessinger, Christof Grewer

“…Our results show that UCPH-101 slows substrate translocation rather than substrate or Na+ binding, confirming a non-competitive inhibitory mechanism, but only partially inhibits wild-type ASCT2. Guided by computational modeling using ligand docking and molecular dynamics simulations, we selected two residues involved in UCPH-101/EAAT1 interaction, which were mutated in ASCT2 (F136Y, I237M, F136Y/I237M) in the corresponding positions. …”
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Harnessing Rare Actinomycete Interactions and Intrinsic Antimicrobial Resistance Enables Discovery of an Unusual Metabolic Inhibitor by Dylan J. McClung, Yongle Du, Dominic J. Antonich, Bailey Bonet, Wenjun Zhang, Matthew F. Traxler

“…Genome sequencing of partially resistant mutants revealed a 2-oxo acid dehydrogenase E2 subunit as the likely molecular target of the dynaplanins, and this finding was supported by computational modeling of the dynaplanin scaffold within the active site of this enzyme. …”
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A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice by Hao Luan, Qinbing Fu, Qinbing Fu, Yicheng Zhang, Mu Hua, Shengyong Chen, Shigang Yue, Shigang Yue

“…However, little computational modeling has been done for implementing looming spatial localization analogous to the specific functionality of MLG1s ensemble. …”
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Therapeutic Study of Cinnamic Acid Derivative for Oxidative Stress Ablation: The Computational and Experimental Answers by Oluwafemi Adeleke Ojo, Akingbolabo Daniel Ogunlakin, Rotdelmwa Filibis Maimako, Gideon Ampoma Gyebi, Christopher Busayo Olowosoke, Odunayo Anthonia Taiwo, Tobiloba Christiana Elebiyo, David Adeniyi, Bolaji David, Matthew Iyobhebhe, Juliana Bunmi Adetunji, Damilare IyinKristi Ayokunle, Adebola Busola Ojo, Ramzi A. Mothana, Abdullah R. Alanzi

“…This study aimed to examine the therapeutic activity of the cinnamic acid derivative KAD-7 (N′-(2,4-dichlorobenzylidene)-3-(4-methoxyphenyl) acrylohydrazide) on Fe²⁺-induced oxidative hepatic injury via experimental and computational models. In addition, the role of ATPase and ectonucleoside triphosphate diphosphohydrolase (ENTPDase) in the coordination of cellular signals is speculated upon to proffer suitable therapeutics for metabolic stress disorder upon their inhibition. …”
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An overview of Hadoop applications in transportation big data by Changxi Ma, Mingxi Zhao, Yongpeng Zhao

“…Additionally, the optimization framework of Hadoop has been studied in two main areas: the optimization of the computational model of Hadoop and the optimization of Hadoop combined with Spark. …”
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MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association by Chen Yang, Zhen Wang, Shanwen Zhang, Xiaoqian Li, Xuqi Wang, Jiashan Liu, Ruixiang Li, Sihao Zeng

“…To overcome the above limitations, this study proposes a multi-view computational model called MVNMDA, which predicts potential miRNA-disease associations by integrating features of miRNA and diseases from local views, global views, and semantic views. …”
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Computational simulation of the ore-forming processes associated with the Sanshandao-Haiyu gold belt, Jiaodong Peninsula, eastern China: implications for the duration of ore format... by Wenfa Shan, Wenfa Shan, Wenfa Shan, Xiancheng Mao, Xiancheng Mao, Zhankun Liu, Zhankun Liu, Hao Deng, Hao Deng, Lei Tang, Dutao Wang, Yong Pan, Yao Liu, Yao Liu

“…In this paper, we use computational modeling to study the spatial distribution of dilation (positive volumetric strain) and the mineralization rate, which can predict the mineralization patterns from a chemical perspective, so as to solve the fully coupled problem during ore-forming processes. …”
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The Impact of Amino Acids on Postprandial Glucose and Insulin Kinetics in Humans: A Quantitative Overview by Bart van Sloun, Gijs H. Goossens, Balazs Erdos, Michael Lenz, Natal van Riel, Ilja C. W. Arts

“…The extracted information is publicly available and can serve multiple purposes such as computational modeling.…”
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Auditory and reward structures reflect the pleasure of musical expectancies during naturalistic listening by Benjamin P. Gold, Benjamin P. Gold, Benjamin P. Gold, Benjamin P. Gold, Benjamin P. Gold, Benjamin P. Gold, Marcus T. Pearce, Marcus T. Pearce, Anthony R. McIntosh, Anthony R. McIntosh, Catie Chang, Catie Chang, Catie Chang, Catie Chang, Alain Dagher, Robert J. Zatorre, Robert J. Zatorre, Robert J. Zatorre, Robert J. Zatorre

“…Here, we assessed concurrent liking ratings and hemodynamic fMRI signals as 24 participants listened to 50 naturalistic, real-world musical excerpts that varied across wide spectra of computationally modeled uncertainty and surprise. As in previous studies, liking ratings exhibited an interaction between uncertainty and surprise, with the strongest preferences for high uncertainty/low surprise and low uncertainty/high surprise. …”
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Computational fluid dynamics model to predict the dynamical behavior of the cerebrospinal fluid through implementation of physiological boundary conditions by Sarah Vandenbulcke, Tim De Pauw, Frank Dewaele, Joris Degroote, Patrick Segers

“…In conclusion, a computational model of the CSF has been developed that can simulate CSF pressures and velocities by incorporating boundary conditions based on physiological processes. …”
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Rethinking statistical learning as a continuous dynamic stochastic process, from the motor systems perspective by Anna Vaskevich, Elizabeth B. Torres, Elizabeth B. Torres, Elizabeth B. Torres

“…The empirically derived continuous Gamma process smoothly converges to predictive Gaussian signatures comparable to those observed for the error-corrective mode that is captured by current optimization-driven computational models. We coin this initially seemingly purposeless stage exploratory. …”
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Anteroinferior bundle of the acromioclavicular ligament plays a substantial role in the joint function during shoulder elevation and horizontal adduction: a finite element model by Ausberto Velasquez Garcia, Farid Salamé Castillo, Max Ekdahl Giordani, Joaquin Mura Mardones

“…Therefore, our goal was to build a quasi-static finite element model to study the function of the acromioclavicular ligament based on its biomechanical performance patterns using the benefits of computational models. Methods A three-dimensional bone model is reconstructed using images from a healthy shoulder. …”
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Limited-Information Signal De-Embedding for a Grain Bin Electromagnetic Imaging System by Seth Cathers, Kyle Nemez, Max Hughson, Hannah Fogel, Mohammad Asefi, Jitendra Paliwal, Joe LoVetri, Ian Jeffrey, Colin Gilmore

“…A second experiment on a grain bin where the authors did not have physical access, shows that de-embedding the signal improves the computational model of the signals (a key indicator for future imaging success).…”
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Differences in running biomechanics between young, healthy men and women carrying external loads by Jose E. Rubio, Jose E. Rubio, Junfei Tong, Junfei Tong, Aravind Sundaramurthy, Aravind Sundaramurthy, Adhitya V. Subramani, Adhitya V. Subramani, Vivek Bhaskar Kote, Vivek Bhaskar Kote, Michael Baggaley, Michael Baggaley, W. Brent Edwards, W. Brent Edwards, Jaques Reifman

“…Using individualized computational models, we quantified the running biomechanics and estimated tibial SF risk over 10 weeks of BCT, for each load condition. …”
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Prenatal exposure to per- and polyfluoroalkyl substances and infant sleep disturbance: A prospective cohort study by Yun Huang, Fang Fang, Yan Chen, Xiaoqing He, Qian Chen, Hui Wang, Jun Zhang

“…We utilized a quantile-based g-computation model to determine the joint effects of the PFAS mixture on infant sleep outcomes. …”
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