An impact of the EpiTapp® application on the quality of life of patients with drug-resistant structural focal epilepsy by E. А. Narodova, N. A. Shnayder, Е. Е. Erakhtin, V. V. Narodova

“…However, the issues of rehabilitation of adult patients with drug-resistant epilepsy remain not fully resolved.Objective: to evaluate an impact of the author-proposed EpiTapp® method on QoL of patients with drug-resistant structural focal epilepsy (SFE).Material and methods. …”
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Structural Tectonic Scheme Creation Based on Seismic-Gravity Models and Isostasy Usage: Ural Case by Martyshko Petr, Ladovskii Igor, Byzov Denis, Tsidaev Aleksandr

“…They contain solution of non-linear (structural) inverse problem and the solution of the linear three-dimensional inverse problem taking note of the side sources. …”
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The role of mental toughness, sport imagery and anxiety in athletic performance: structural equation modelling analysis by Gönül Tekkurşun Demir, Sevinç Namlı, Ergün Çakır, Batuhan Batu, Fatih Ateş, Eda Yılmaz, Burcu Güvendi, Selda Kocamaz Adaş, Musab Çağın

“…The fact that these three characteristics, which have a direct effect on the performance of athletes (especially elite athletes), have not been examined by structural equation modeling in the literature to the best of our knowledge has led to the need for this study. …”
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Structural, Thermophysical, and Radiation Shielding Properties of Lead–Bismuth Eutectic (LBE) Synthesized by Induction Melting by Radu Cristian Gavrea, Emanoil Surducan, Răzvan Hirian, Mioara Zagrai, Vasile Rednic

“…Radiation shielding performance over photon energies ranging from 0.015 to 15 MeV was simulated using the Phy-X/PSD program. The results revealed the eutectic structure comprising Pb₇Bi₃ and Bi phases with near-ideal stoichiometry and a melting point of 127.6 °C. …”
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Key Factors Shaping Green Logistics in Thailand’s Auto Industry: An Application of Structural Equation Modeling by Wuttichai Youngswaing, Sajjakaj Jomnonkwao, Ekkapong Cheunkamon, Vatanavongs Ratanavaraha

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Prevalence rate of structural scoliosis in school children of Novosibirsk according to the computed optical topography data by V. N. Sarnadskiy, M. V. Mikhaylovskiy, T. N. Sadovaya, T. N. Orlova, S. B. Kuznetsov

“…A program of annual examination of the posture (using special developed COMOT) among school children of decreed ages, which was started in 2010 in all schools of the city, enabled data collection of more than 190,000 school children aged 6 to 18, including 49,0% girls and 51,0% foys COMOT provides reconstruction of a 3D-model of the dorsal surface of the body, assessment of the posture state, identification of structural scoliosis at an early stage, and precise determination of the scoliosis degree by angle of lateral asymmetry (LA) which is a topographic analogue of the Cobb angle.Results. …”
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Exploring household water conservation behaviors in Saudi Arabia: A structural equation modeling approach by Abdulaziz I. Almulhim, Ismaila Rimi Abubakar

“…This study employs structural equation modeling (SEM) to investigate water conservation behaviors among households in Saudi Arabia. …”
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Structural substitutions on the methoxybenzene ring retain the biological activity of the zaxinone mimics MiZax3 by Jian You Wang, Muhammad Jamil, Lamis M. Tareq Berqdar, Ikuo Takahashi, Tsuyoshi Ota, Tadao Asami, Salim Al-Babili, Salim Al-Babili, Salim Al-Babili

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Bioinformatic Characterization of the Functional and Structural Effect of Single Nucleotide Mutations in Patients with High-Grade Glioma by Sara Vélez Gómez, Juliana María Martínez Garro, León Darío Ortiz Gómez, Jorge Emilio Salazar Flórez, Fernando P. Monroy, Ronald Guillermo Peláez Sánchez

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Structural Equation Modeling (SEM) on mechanisms of non science students' attitudes toward statistics courses by Erni Septianawati, Ervin Abdillah

“…Analisa data menggunakan Structural Equation Modeling berbantuan software SmartPLS. …”
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Influence of solubilizer PEG-40 hydrogenated castor oil on carbopol gels’ structural-mechanical properties by Ye. V. Gladukh, І. М. Grubnik, Н. Р. Kukhtenko

“…The graphs of the gels were automatically plotted using the computer program. Results. Analysis of the rheological parameters of the carbopol with PEG-40 hydrogenated castor oil gel base shows that the solubilizer has an active influence on the structural and mechanical properties of the base. …”
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The impact of the structural state of the tubulin cytoskeleton on chlorophyll fluorescence indicators and auxin content in Solanum tuberosum by I.Yu. Makeeva, T.I. Puzina

“…Information on the dependence of light reactions of photosynthesis on the structural state of cytoskeletal elements is extremely limited. …”

Pharmacological and structural characterization of vibostolimab, a novel anti-TIGIT blocking antibody for cancer immunotherapy by Hongmei Wang, Maribel Beaumont, Wendy Blumenschein, Laurence Fayadat-Dilman, Mingmei Cai, Jing Yuan, Douglas Wilson, Thierry O Fischmann, Jeanne Baker, Tanya Keenan, Daniel Malashock, Eunseon Ahn, Komal Pradhan, Jeffery Grein, Srishti Chakravorty, Soheila Bahmanjah, David Ban, Ellen Chien, Mark Hsieh, Todd Mayhood, Janica C Wong, Mark A McCoy, Sybil M G Williams, Wolfgang Seghezzi, Jin-Hwan Han

“…The mouse surrogate anti-TIGIT antibodies were identified and used to extensively investigate the mechanism of action of anti-TIGIT antibodies as monotherapy or in combination with anti-programmed cell death protein-1 (PD-1) antibody in vivo by gene expression profiling and flow cytometry analyses with a mouse syngeneic tumor model.Results Structural analyses with solution NMR and X-ray crystallography revealed that vibostolimab binds the CC’C’’FG loop interface of TIGIT, completely competing for the binding site of CD155 with a larger coverage area than another anti-TIGIT antibody tiragolumab, consistent with surface plasmon resonance analysis, though mouse models with similar antibodies revealed no functional difference in antitumor efficacy. …”
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Structural and Functional Characterization of the Most Frequent Pathogenic PRKN Substitution p.R275W by Bernardo A. Bustillos, Liam T. Cocker, Mathew A. Coban, Caleb A. Weber, Jenny M. Bredenberg, Paige K. Boneski, Joanna Siuda, Jaroslaw Slawek, Andreas Puschmann, Derek P. Narendra, Neill R. Graff-Radford, Zbigniew K. Wszolek, Dennis W. Dickson, Owen A. Ross, Thomas R. Caulfield, Wolfdieter Springer, Fabienne C. Fiesel

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A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study by Cheryl R.Z. See, Shuqing Si, C. Lexi Baird, Courtney C. Haswell, Ahmed Hussain, Miranda Olff, Dick J. Veltman, Jessie L. Frijling, Mirjam van Zuiden, Saskia B.J. Koch, Laura Nawijn, Li Wang, Ye Zhu, Gen Li, Yuval Neria, Xi Zhu, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Jennifer S. Stevens, Kerry Ressler, Negar Fani, Tanja Jovanovic, Sanne J.H. van Rooij, Milissa L. Kaufman, Lauren A.M. Lebois, Isabelle M. Rosso, Elizabeth A. Olson, Justin T. Baker, Scott R. Sponheim, Seth G. Disner, Nicholas D. Davenport, Amit Etkin, Adi Maron-Katz, Murray B. Stein, Martha E. Shenton, Dan J. Stein, Jonathan Ipser, Sheri-Michelle Koopowitz, Soraya Seedat, Stefan du Plessis, Leigh L. van den Heuvel, Shmuel Lissek, Hannah Berg, Thomas Straube, David Hofman, Lee A. Baugh, Gina L. Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent A. Magnotta, Kelene A. Fercho, Xin Wang, Andrew S. Cotton, Erin N. O’Leary, Hong Xie, Daniel W. Grupe, Jack B. Nitschke, Richard J. Davidson, Christine L. Larson, Terri A. deRoon-Cassini, Carissa W. Tomas, Jacklynn M. Fitzgerald, Jennifer Urbano Blackford, Bunmi O. Olatunji, Evan M. Gordon, Geoffrey May, Steven M. Nelson, Ruth Lanius, Jean Théberge, Maria Densmore, Richard W.J. Neufeld, Chadi G. Abdallah, Christopher L. Averill, Ilan Harpaz-Rotem, Ifat Levy, John H. Krystal, Elbert Geuze, Remko van Lutterveld, Emily L. Dennis, David F. Tate, David X. Cifu, William C. Walker, Elisabeth A. Wilde, Nic J.A. van der Wee, Robert R.J.M. Vermeiren, Steven J.A. van der Werff, Katie McLaughlin, Kelly Sambrook, Matthew Peverill, Joaquim Radua, Lauren E. Salminen, Neda Jahanshad, Sophia I. Thomopoulos, Anthony James, Lucia Valmaggia, Paul M. Thompson, Rajendra A. Morey, Matthew J. Kempton

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OPTIMALITY IN AGRICULTURE: GENERATING OPTIMAL STRUCTURE OF CULTURES WITHIN A FARM USING GENETIC ALGORITHMS by Victor TIȚA, Doru Anastasiu POPESCU, Nicolae BOLD

“…The genetic algorithm uses basic structures (chromosomes, genes) and operations (mutation, crossover) to generate a repartition. …”
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Structuring a textile knitting dataset for machine learning and data mining applicationsMendeley Data by Toufique Ahmed, Abu Saleh Muhammad Junayed

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A conversion tool for translating Python-based machine learning models to structured text codes by Yasmin Adriane de Paula Campos, Paulo Haron da Silva Pereira, Robson Aparecido Duarte, José Manuel Gonzalez Túbio Perez, Gustavo Pessin, Thomas Vargas Barsante Pinto

“…We present a converter software program that automatically translates Python-based machine learning algorithms into Structured Text codes. …”
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METHOD OF CONSTRUCTION OF A NEUROREGULATOR MODEL WHEN OPTIMIZING THE CONTROL STRUCTURE OF A TECHNOLOGICAL CYCLE by V. S. Smorodin, V. A. Prokhorenko

“…In this paper authors present the results of a research that had a purpose to develop a method of constructing a neuroregulator model for the case of optimization of the control structure of a technological cycle. The method's implementation is based upon the automation of a production process when a physical controller, that operates the technological process according to a given program, is present. …”
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This article reads the options for further quality improving of training for aviation personnel in higher education insti-tutions of the Russian Federation via introduction of inno... by Yu. M. Сhinyuchin, B. P. Eliseev, A. S. Borzova, V. P. Berlev

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