Vitacrystallography: Appearance and Development of Cancer-Induced Structural Biomarkers in a Mouse Model by Oleksii Avdieiev, Sergey A. Denisov, Ashkan Ajeer, Lois Adams, Charlene Greenwood, Heather Nesbitt, Keith Thomas, Keith Rogers, Olga Solovyeva, Lev Mourokh, Pavel Lazarev

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Bridging Physical and Psychological Factors in Sepak Takraw: A Structural Equation Model by Zulkifli Zulkifli, Yudanto Yudanto, Alficandra Alficandra, M. Fransazeli Makorohim, Raffly Henjilito, Jet Longakit, Sm Farooque

Subjects: “…Sepak Takraw; sports biomechanics; self-confidence; structural equation modeling; strength training; sport psychology…”
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A Structural Equation Model for Sustainable Supply Chain Management in the Food Industry by Theofilos D. Mastos, Katerina Gotzamani, Petros Ieromonachou, George Tsiotras

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Information hiding algorithm based on mapping and structure data of 3D model by Shuai REN, Zhen WANG, Dongxu SU, Tao ZHANG, Dejun MU

“…The existing 3D information hiding schemes are not robust enough against the joint attacks,as a result the secret information will be vulnerable and cannot be extracted correctly.In order to solve the above problem,an information hiding algorithm based on mapping and structure data of 3D models was proposed.First,several texture maps of the original 3D models in .stl format were picked from the standard model library,so the backup secret data after twice two-dimension discrete Daubechies transform can be embedded using dbl function just as the watermark.Secondly,the original 3D model in .stl format was operated by frame sampling in wavelet domain to obtain the coefficient in transform domain,thus the secret data was embedded into the corresponding transform coefficient.Finally,the .obj documents with the secret information were generated by multiplying the 2D texture map data and the 3D .stl data matrix based on orthogonal projection.Texture maps and coordinate space of 3D model were both used to embed the secret information repeatedly in order to enhance the robustness.The experiment analysis indicated that the imperceptibility,robustness and resistance against analysis are improved and information transmission safety in complex environment can be achieved based on the redundancy space of multi-type carriers.…”
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Modeling vaccination prioritization strategies for post-pandemic COVID-19 in the Republic of Korea accounting for under-reporting and age-structure by Geunsoo Jang, Jihyeon Kim, Robin N. Thompson, Hyojung Lee

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Factors and processes determining the impact resistance of PP impact copolymers with multi-phase structure by Milán Ferdinánd, Michael Jerabek, Róbert Várdai, Emese Pregi, Thomas Lummerstorfer, Markus Gahleitner, Gábor Faludi, János Móczó, Béla Pukánszky

“…The impact resistance of four polypropylene impact copolymers (ICPs) with multi-phase structures and widely differing characteristics was related to their structure. …”
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Analyzing the impact of disaster-related factors on student preparedness using Structural Equation Modelling by Arinda Soraya Putri, Adryan Rizky Martin, Eko Setiawan, Afiqoh Akmalia Fahmi, Munajat Tri Nugroho, Evitania Salmadita Putri, Yuda Aditiya Pratama

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Identification of nonlinear structural parameters based on particle filtering algorithm by Dandan Xia, Wanghua Yu, Li Lin

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Producible Structure as a Factor of Russian Economy Sustainable Development* by Y. S. Bogachev

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Structural design and research of multifunctional auxiliary defecation nursing bed by WANG Fang, LIN Wanying, TIAN Botian, CAO Zhanhong, HU Jun, PAN Guoxin

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Static and dynamic emulation analysis on frame structure of farm tricycle by MA Guang, HUANG Dong-ming, WANG Zhi-ming

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Structural and tectonic conditions for the development of the Bering Sea sedimentary basin by S. A. Guryanov

“…In this paper, a structural and tectonic modelling of the Bering Sea is carried out.Aim. …”
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Biomimetic Lattice Structures Design and Manufacturing for High Stress, Deformation, and Energy Absorption Performance by Víctor Tuninetti, Sunny Narayan, Ignacio Ríos, Brahim Menacer, Rodrigo Valle, Moaz Al-lehaibi, Muhammad Usman Kaisan, Joseph Samuel, Angelo Oñate, Gonzalo Pincheira, Anne Mertens, Laurent Duchêne, César Garrido

Subjects: “…lattice structures…”
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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. …”
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A numerical model based on ALE formulation to predict crack propagation in sandwich structures by Marco Francesco Funari, Fabrizio Greco, Paolo Lonetti, Saverio Spadea

“…A numerical model to predict crack propagation phenomena in sandwich structures is proposed. …”
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Analysis of Various Damping Models in The Simulation of the Seismic Response of Structures in the STARK ES Software by V. N. Simbirkin, Yu. V. Panasenko, V. V. Kurnavin

“…When performing structural calculations for dynamic loads including seismic impacts, the STARK ES software package allows to implement various damping models. …”
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Modelling Functional Thyroid Follicular Structures Using P19 Embryonal Carcinoma Cells by Fatimah Najjar, Liming Milbauer, Chin-Wen Wei, Thomas Lerdall, Li-Na Wei

“…These thyrocytes further maturate to form follicle-like structures expressing and accumulating thyroglobulin that can be secreted into the medium upon TSH stimulation. …”
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Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

“…This work introduces a comprehensive analysis of various YOLO models for detecting cracks in concrete structures, aiming to assist in the selection of an optimal model for future detection and segmentation tasks. …”
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Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model by Wanmin Lin, Ling Chu, Xiangyu Yao, Zhihua Chen, Peng Xu, Wenbin Liu

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A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity by Gemma Rosell-Tarragó, Emanuele Cozzo, Albert Díaz-Guilera

“…Furthermore, we show that different network topologies lead to different plausible statistical models concerning the correlation structure, ranging from one to multiple factor models and richer correlation structures.…”
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