Interdisciplinary communicative competence: From conceptualising to operationalising by T. A. Martynova, E. V. Gilenko, E. M. Kitaeva, V. A. Bondar, E. V. Orlova, N. P. Drozdova, V. I. Cherenkov

“…The results of the empirical part of the study can be applied in the design of interdisciplinary learning process in higher education, for example, in the design of interdisciplinary courses, and teaching materials.…”
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STRATEGIC INNOVATION IN INTERNATIONAL EDUCATION AND DEVELOPMENT OF MICROECONOMICS OF SMALLAND MEDIUM-SCALE ENTERPRISES by S. Zappala

“…The assessment of RIM University’s experience in the organization of training of professors from Russia in Italy, with the main purpose of connecting the Financial University learning theory with practice, especially on small- and medium-scale business enterprises. …”
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Image Segmentation and Measurement of Trout Using a Convolutional Neural Network and Transformer Architecture by Jose Cruz, Luis Baca, Raul Castillo, Eudes Apaza, Christian Romero, Ferdinand Pineda

“…We conducted three experiments using UNET and UNETR architectures, varying image resolution, loss functions, and optimizers on a dataset of 1200 high-resolution images. …”
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Mechanisms and modelling of diffusion in solids: a multiscale framework with industrial case studies and AI enhancements by Barah, Obinna Onyebuchi, Natukunda, Faith, Bori, Ige, Ukagwu, Kelechi John

“…Diffusion in solids is a fundamental mechanism governing mass transport, phase transformations, and microstructural evolution in metals, alloys, and functional materials. This review presents a comprehensive overview of key atomic-scale diffusion mechanisms, including substitutional, interstitial, grain boundary, and surface/pipe pathways, within the classical framework of Fick’s steady-state and non-steady-state laws. …”
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Exploring relative instances of exposure in equilibrium of migration processes based on population characteristics by László Pitlik, Péter Kollár, Zsolt Fülöp, Imre Madarász

“…The modeling spectrum consists of three levels: (1) Explorative modeling is able to derive basic characteristics for ceteris paribus perspectives through the complex functions. The standard analytical potential works with ceteris paribus parameters, based on the appropriate literature sources. (2) Anti-discriminative modeling is capable of deriving ranks for objects without an actual learning pattern, for the so-called production functions. (3) A cybernetic state of law should be able to have robot-planning values supporting human decision processes. …”
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Improved Snake Optimization Algorithm for Global Optimization and Engineering Applications by Kaiyuan Zheng, Huiyong Liu, Bopeng Li

“…Its exploration-exploitation balance and convergence were analyzed on the 30-dimensional CEC-2017 benchmark functions. Additionally, ISO was tested on 23 classic benchmark functions, CEC-2011, and CEC-2017 benchmark functions. …”
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Phylogroup Homeostasis of <i>Escherichia coli</i> in the Human Gut Reflects the Physiological State of the Host by Maria S. Frolova, Sergey S. Kiselev, Valery V. Panyukov, Olga N. Ozoline

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Augmented virtuality technology in education: taxonomy of augmented virtuality types by Alexandr V. Grinshkun, Anastasia S. Zakova

“…The copy is a virtual copy display without functional changes, presented as a 3D model instead of a real object. …”
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Novel Nanomaterials for Developing Bone Scaffolds and Tissue Regeneration by Nazim Uddin Emon, Lu Zhang, Shelby Dawn Osborne, Mark Allen Lanoue, Yan Huang, Z. Ryan Tian

“…Furthermore, machine learning (ML) and artificial intelligence (AI) can further decode the current complexities of material design for BTR, notwithstanding the fact that these methods call for an in-depth understanding of bone composition, relationships and impacts on biochemical processes, distribution of stem cells on the matrix, and functionalization strategies of NMs for better scaffold development. …”
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Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder by Lei Shen, Ya-xin Hu, Qin-yu Lv, Zheng-hui Yi, Jing-bo Gong, Chao Yan

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Integration of over 9,000 mass spectrometry experiments builds a global map of human protein complexes by Kevin Drew, Chanjae Lee, Ryan L Huizar, Fan Tu, Blake Borgeson, Claire D McWhite, Yun Ma, John B Wallingford, Edward M Marcotte

“…Abstract Macromolecular protein complexes carry out many of the essential functions of cells, and many genetic diseases arise from disrupting the functions of such complexes. …”
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Characterizing and engineering post-translational modifications with high-throughput cell-free expression by Derek A. Wong, Zachary M. Shaver, Maria D. Cabezas, Martin Daniel-Ivad, Katherine F. Warfel, Deepali V. Prasanna, Sarah E. Sobol, Regina Fernandez, Fernando Tobias, Szymon K. Filip, Sophia W. Hulbert, Peter Faull, Robert Nicol, Matthew P. DeLisa, Emily P. Balskus, Ashty S. Karim, Michael C. Jewett

“…Abstract Post-translational modifications (PTMs) are important for the stability and function of many therapeutic proteins and peptides. …”
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Exploring Sleep Patterns in 3,475 College Students: A Comparative Study of Geographical Location, Gender, and Age by Imen Moussa-Chamari, Mohamed Romdhani, Abdulaziz Farooq, Khaled Trabelsi, Narimen Yousfi, Karim Kamoun, Arezou Ahmadian, Senaid Salem Almarri, Karim Chamari, Olivier Hue

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Iron deficiency in children - causes, consequences, treatment - review of the literature by Anna Dziewierz, Paulina Dziewierz, Patrycja Pietrusińska, Aleksandra Sadowska, Aleksandra Welkier, Adam Sobiński, Joanna Miśkiewicz, Aleksandra Dudek, Jakub Moder, Paula Kwaśniewska, Patrycja Śliwa-Tytko

“…ID can have unfavorable effects on brain development and the ability to learn. It can also impair the development of cognitive functions in children. …”
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Adenosine Receptor 3 in Liver Cancer: Expression Variability, Epigenetic Modulation, and Enhanced Histone Deacetylase Inhibitor Effects by Louise Kaldjob-Heinrich, Sandro Nuciforo, Steffen Lemke, Aaron Stahl, Stefan Czemmel, Sepideh Babaei, Lauriane Blukacz, Marie-Anne Meier, Yizheng Zhang, Christian M. Schürch, Irene Gonzalez-Menendez, Pascal Woelffing, Nisar P. Malek, Veit Scheble, Sven Nahnsen, Manfred Claassen, Markus Templin, Hans Bösmüller, Markus H. Heim, Daniel Dauch, Michael Bitzer

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Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors by Ramin Karimi Azari, Luan Pereira Camargo, José Ramón Herrera Garza, Liam Collins, Wan− Yu Tsai, Lariel Chagas da Silva Neres, Patrick Dang, Martin Schwellberger Barbosa, Clara Santato

“…Abstract Neuromorphic systems, inspired by the human brain, promise significant advancements in computational efficiency and power consumption by integrating processing and memory functions, thereby addressing the von Neumann bottleneck. …”
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An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…Abstract The human cutaneous lymphatic system strictly controls lymphatic functions by coordinating with skin cells. The lymphatic system plays important roles in removing cell waste, residual proteins, various antigens, and immune cells from tissues to maintain homeostasis and activate the immune system through the drainage of interstitial fluid1,2. …”
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AI-Enabled Tactical FMP Hotspot Prediction and Resolution (ASTRA): A Solution for Traffic Complexity Management in En-Route Airspace by Marianna Groia, Tommaso Vendruscolo, Paris Vaiopoulos, Stefano Bonelli, Jason Gauci, Maximillian Bezzina, Didier Berling, Mikko Jurvansuu, Nicolas Borovich, Cynthia Koopman, Leander Grech, Rémi Zaidan, Anthony De Bortoli, François Brambati

“…The feedback collected was validated by a board of Subject Matter Experts (SMEs) and transformed into a concrete set of functional and non-functional requirements. Overall, ASTRA’s operational concept was endorsed as a promising solution for reducing airspace complexity while alleviating operator workload during the tactical phase of operations. …”
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Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

“…Then, a two-stage solving method of multi-layer perceptron pre-solving and particle swarm optimization re-optimizing is developed after splitting the cost function into two pieces. An multi-layer perceptron neural network was designed and trained offline to learn the solution of the model predictive control local planner without considering obstacles after selecting the inputs and outputs. …”
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Cementless Tibial Fixation Results in Slower Recovery but Equivalent Outcome at 12 months in Primary Total Knee Arthroplasty by Khairul Anwar Ayob, MSOrth, Ishaan Jagota, BEng, Joshua Twiggs, PhD, David W. Liu, FRACS

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