Metadisciplinary strategy in students’ ecological competence forming by Elena N. Chekanushkina, Elena N. Ryabinova

“…The formation and development of students’ environmental competence is also significant as it is a metadisciplinary concept and suggests acquiring common educational activities aimed at mastering the basic educational programs, realizing the internal potential and producing an educational result for solving complex professional problems, increasing efficiency own professional activity and importance for others. …”
Get full text

Innovative Applications of Nanopore Technology in Tumor Screening: An Exosome-Centric Approach by Heng Chi, Liuxin Shi, Songlin Gan, Guangyi Fan, Yuliang Dong

“…Cancer remains one of the leading causes of death worldwide. Its complex pathogenesis and metastasis pose significant challenges for early diagnosis, underscoring the urgent need for innovative and non-invasive tumor screening methods. …”
Get full text

Developing a multidimensional scale for presenteeism: A study on measurement and implications by S. Mumlu-Karanfil, A. Doğan, S. Bozkurt

“…The paper’s primary purpose is to develop a comprehensive measurement tool suitable for the individual and organizational multi-factor structure of presenteeism that accurately reflects the complex nature of today’s business world. …”
Get full text

Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…This index is used to construct a graph representation, where nodes correspond to ECG features and edges reflect their relationships based on MI values. The GCN model is trained on this graph, enabling it to learn complex patterns for user identification efficiently.ResultsExperimental results demonstrate that the proposed GCN-MI model achieves 100% accuracy with a 5-layer architecture at a k-fold of 75, outperforming conventional approaches that require less training data.DiscussionThis work introduces several innovations: the integration of MI indices enhances feature selection, improving model robustness and efficiency; the graph-based learning framework effectively captures both spatial and statistical relationships within ECG data, leading to higher classification accuracy; the proposed approach offers a scalable and real-time biometric authentication system suitable for applications in finance, healthcare, and personal device access. …”
Get full text

Strategizing AI in Healthcare: A Multidimensional Blueprint for Transformative Decision-Making in Clinical Settings by Simon Martina, Kamin Stefan, Hamper Andreas, Wittenberg Thomas, Schmitt-Rüth Stephanie

“…By creating a comprehensive categorization system, we attempt to navigate the complex array of possible AI applications within the field of healthcare, hence enabling the identification, selection, and advancement of AIdriven initiatives. …”
Get full text

The Level of Cybersecurity of the BRICS Member Countries in International Ratings: Prospects for Cooperation by O. Ovchinnikova, N. K. Upadhyay

“…Based on the ITU rating, we assess the cybersecurity efficiency of the BRICS member countries versus other countries. …”
Get full text

Quality balanced scorecard for the outpatient clinic by O. A. Latukha, I. M. Son, Yu. I. Bravve, A. V. Kalinichenko, E. A. Pushkareva, K. S. Tolstova

“…Patients were interviewed and quality criteria important for the patients' parents were determined. The complexity, multi-stage nature and short time frame for providing medical services determined the criteria for the economic efficiency. …”
Get full text

The Transcriptomic Signature of Donkey Ovarian Tissue Revealed by Cross-Species Comparative Analysis at Single-Cell Resolution by Yu Tian, Yilin Niu, Xinhao Zhang, Tao Wang, Zhe Tian, Xiaoyuan Zhang, Jiachen Guo, Wei Ge, Shuqin Liu, Yujiang Sun, Jianjun Li, Wei Shen, Junjie Wang, Teng Zhang

“…However, their reproductive efficiency remains suboptimal compared with other livestock. …”
Get full text

Adaptive damage analysis method for ultimate bearing capacity of steel truss structures with box section by JingJing Han, WeiWei Xie, Wei Zhang, LuFeng Yang

“…Abstract Traditional damage analysis of steel truss structures requires detailed finite element meshing, and there is a coupling between stress-strain and damage solving, resulting in complex damage analysis and massive computations. …”
Get full text

Stiffness based in-situ assessment of static recrystallization kinetics for cold-rolled aluminum alloys by Thomas Obermayer, Christian Krempaszky, Ewald Werner

“…However, the characterization of SRX kinetics by established methods is costly and complex. The analysis of the relation between the recrystallization kinetics and the influence of alloying elements, dislocation density and temperature is elaboratory. …”
Get full text

Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Results affirm the hypothesis that experts formulate more efficient strategies, reflected in HMMs with fewer hidden states compared to those describing novice behavior. …”
Get full text

A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This optimization problem involves accurately identifying parameters that reflect the complex and nonlinear behaviours of photovoltaic cells affected by changing environmental conditions and material inconsistencies. …”
Get full text

In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
Get full text

Study results in curvilinear motion of high-speed track machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…The research results can be used to create, based on the existing scientific and technical background, a promising robotic complex with an electromechanical transmission.…”
Get full text

Study on multi-parameter optimization of seismic isolation bearings for continuous girder bridges considering interactions among key parameters by Zhaolan Wei, Bowen Yang, Qixuan You, Konstantinos Daniel Tsavdaridis, Shaomin Jia

“…Abstract Traditional isolation design for continuous girder bridges often focuses on single-parameter tuning, overlooking the complex interactions among yield strength, pre-yield stiffness, and post-yield stiffness. …”
Get full text

Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Assessment of fish feeding intensity is crucial for achieving precise feeding and for enhancing aquaculture efficiency. However, complex backgrounds in real-world aquaculture scenarios—such as water surface reflections, wave disturbances, and the stochastic movement of fish schools—pose significant challenges to the precise extraction of feeding-related features. …”
Get full text

STRUCTURAL COMPONENTS OF INSTRUMENTAL AND PERFORMANCE SKILLS OF FUTURE TEACHERS OF MUSIC ART by L.O. Kovalova-Honchariuk

“…It is proved that it is a complex of features and traits of an individual that ensures psychological readiness to the public performance of musical works and efficiency of teaching activity of future music teachers in general due to the skills to implement personal interpretation intentions, learn and help students discover a sense of music, show students music images by using different means of musical expression, theorize and perform analysis of a musical work. …”
Get full text

Enhanced Localisation and Handwritten Digit Recognition Using ConvCARU by Sio-Kei Im, Ka-Hou Chan

“…Predicting the motion of handwritten digits in video sequences is challenging due to complex spatiotemporal dependencies, variable writing styles, and the need to preserve fine-grained visual details—all of which are essential for real-time handwriting recognition and digital learning applications. …”
Get full text

A Novel Model for Optimizing Roundabout Merging Decisions Based on Markov Decision Process and Force-Based Reward Function by Qingyuan Shen, Haobin Jiang, Aoxue Li, Shidian Ma

“…Autonomous vehicles (AVs) are increasingly operating in complex traffic environments where safe and efficient decision-making is crucial. …”
Get full text

Depth-dependent microskeletal features modify light harvesting in Turbinaria reniformis corals by Netanel Kramer, Claudia Tatiana Galindo-Martínez, Steven L. Jacques, Martin Tresguerres, Yossi Loya, Daniel Wangpraseurt

“…Mesophotic corals showed higher scattering coefficients and a lower anisotropy of scattering values, yielding increased reflectivity. Regardless of depth, coenosteum grooves facilitated forward scattering, while protruding features such as spines and septa increased surface reflectivity and isotropic scattering. …”
Get full text