Structural Explanation of Urban Tourism Development Challenges in Chaharmahal and Bakhtiari Cities by Arash Fazeli, Nafiseh Marsousi, Mohsen Saghaei

“…Data were analyzed using structural equation modeling with PLS software. …”
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Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…Results We performed a gene expression and structural analysis of ten taste receptor genes in Iberian and Duroc pigs. …”
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Multiparity induces persistent myocardial structural, functional and transcriptomic remodelling in mice by Ruth R. Magaye, Bing H. Wang, Hongyi R. Liu, Shanae Bailey, Rithy Nuon, Sabrina Sutano, Michael Nyugen, Helen Kiriazis, Kyah Grigolon, Luchen Shan, William W. H. Ho, Fumihiko Takeuchi, Daniel G. Donner, David M. Kaye

“…We evaluated blood pressure, body composition, gross weight and histologic cardiac structure. Cardiac function was assessed by echocardiography together with transcriptomic analysis of the left ventricular myocardium. …”
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Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment by Haixia Mao, Min Xu, Hui Wang, Hui Wang, Yuankun Liu, Feng Wang, Feng Wang, Qianqian Gao, Songyun Zhao, Lin Ma, Xiaoyun Hu, Xiaoxuan Zhang, Guangjun Xi, Guangjun Xi, Xiangming Fang, Yachen Shi, Yachen Shi

“…However, the molecular and cellular factors making the different brain structural regions more vulnerable to CSVD-related cognitive impairment remain largely unknown.Materials and methodsVoxel-based morphology (VBM) was performed on the structural magnetic resonance imaging data of 46 CSVD-related cognitive impairment and 73 healthy controls to analyze and compare the gray matter volume (GMV) between the 2 groups. …”
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SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms by Seán I O’Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin, Matt Adcock, Burkhard Rost

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Transformation of 3D Metal–Organic Frameworks into Nanosheets with Enhanced Memristive Behavior for Electronic Data Processing by Yuri A. Mezenov, Semyon V. Bachinin, Yuliya A. Kenzhebayeva, Anastasiia S. Efimova, Pavel V. Alekseevskiy, Daria Poloneeva, Anastasia Lubimova, Svyatoslav A. Povarov, Vladimir Shirobokov, Mikhail S. Dunaevskiy, Aleksandra S. Falchevskaya, Andrei S. Potapov, Alexander Novikov, Artem A. Selyutin, Pascal Boulet, Alena N. Kulakova, Valentin A. Milichko

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Efficacy of golimumab in the treatment of patients with ankylosing spondylitis (according to the data of a long-term follow-up) by A. V. Smirnov, T. V. Dubinina, Sh. F. Erdes

“…The paper summarizes the data of a randomized placebo-controlled phase 3 GO-RAISE trial of spondylitis (AS) patients receiving two different doses (50 and 100 mg) of golimumab (GLM), which evaluates its efficiency and safety and X-ray progression of changes in the axial skeleton. …”
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Decision model for determining the ownership structure of chemical park units, Integration of decision-making techniques and data envelopment analysis by Darush Mohamadi Zanjirani

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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions by Eungi Hwang, Jang Hyun Kim, Sangwan Kim, Garam Kim

“…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data by Vlasov Aleksandr

“…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

“…This study rigorously investigates cobalt chloride doped hydroxypropyl methylcellulose composite films, taking a significant step toward understanding structure property relations. The aim is to develop biodegradable yet conductive polymer composites by meticulously examining the effects of incorporating a metal salt like cobalt chloride. …”
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Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data by Zheng Ren, Ding Ma, Bin Jiang, Stefan Seipel

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A multi-stage algorithm based on data structure to deal challenges facing electric-supply restoration in smart grids by Mohamed Goda, Mazen Abdel-Salam, Mohamed-Tharwat EL-Mohandes, Ahmed Elnozahy

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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Objectives: To reconstruct age-structured case counts of COVID-19 using sentinel reporting, which replaced universal reporting of COVID-19 from May 2023 in Japan. …”
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The East-Mayotte new volcano in the Comoros Archipelago: structure and timing of magmatic phases inferred from seismic reflection data by Masquelet, Charles, Leroy, Sylvie, Delescluse, Matthias, Chamot-Rooke, Nicolas, Thinon, Isabelle, Lemoine, Anne, Franke, Dieter, Watremez, Louise, Werner, Philippe, Paquet, Fabien, Berthod, Carole, Cabiativa Pico, Victor, Sauter, Daniel

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System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak

“…The use of available systems for obtaining structured data from primary medical information is based on the use of various technologies, including digital transformation of primary data for the formation of electronic health records. …”
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NOSOLOGICAL STRUCTURE OF ACUTE CORONARY EVENTS AT ADMISSION AND AT DISCHARGE, PATIENT COMPLIANCE AND NEAREST FORECAST (DATA OF THE RACSMI-UZ REGISTER) by G. A. Nagaeva

“…Introduction. Basing on the data of the “RACSMI-UZ” register, the article provides comparative analysis of the structure and transformation of diagnoses during acute coronary conditions in the dynamics (at admission and discharge), assesses patients' adherence to drug therapy depending on gender and also describes analysis of its effect on the short-term prognosis.Material and methods. …”
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Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat and Sentinel data by Natasha Lutz, Pedro Rodriguez-Veiga, Imma Oliveras Menor

“…Worsening climate change impacts are amplifying the need for accurate estimates of vegetation structure and aboveground biomass density (AGBD) to assess changes in biodiversity and carbon storage. …”
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DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…However, existing DAG structure learning algorithms still have limitations in handling mixed-type data (including continuous and discrete variables), which restricts their practical utility. …”
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