PSYCHOLOGICAL AND PEDAGOGICAL BASES OF FORMATION OF THE FUTURE SPECIALISTS’ INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITIES by Lavrentieva Olena, Krupskyi Oleksandr

“…It has been established that the individual style of professional activity is a complex personal creation including a stable system of work methods and techniques, and determining a certain behaviour strategy in their labour activity. …”
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Novel Cerium‐Based p‐Dopants with Low Parasitic Absorption for Improved Organic Devices by Stephanie A. Buchholtz, L. Conrad Winkler, Maximilian F. X. Dorfner, Fred Kretschmer, Anncharlott Kusber, Léonard Y. M. Eymann, Theresa Schmidt, Hans Kleemann, Johannes Benduhn, Frank Ortmann, Karl Leo

“…Abstract High electrical conductivity and improved charge carrier injection enabled by molecular doping are pivotal for high‐performance, energy‐efficient, and stable organic optoelectronic devices. …”
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Transparent memory testing based on dual address sequences by V. N. Yarmolik, I. Mrozek, V. A. Levantsevich, D. V. Demenkovets

“…There are two new non-destructive tests of memory devices March_2A_1 and March_2A_2 and an estimation of their time complexity and efficiency of failure detection are given. …”
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Hypergraph-based analysis of weighted gene co-expression hypernetwork by Libing Bai, Libing Bai, Zongjin Li, Chunyang Tang, Chunyang Tang, Changxin Song, Feng Hu, Feng Hu

“…BackgroundWith the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network analysis (WGCNA), which relies on pairwise gene relationships, struggles to capture higher-order interactions and exhibits low computational efficiency when handling large, complex datasets.MethodsTo overcome these challenges, we propose a novel Weighted Gene Co-expression Hypernetwork Analysis (WGCHNA) based on weighted hypergraph, where genes are modeled as nodes and samples as hyperedges. …”
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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…The 2D images are subsequently processed using a recurrent neural network (RNN) architecture, which effectively detects complex patterns essential for accurate classification, while its capability to manage sequential data is further augmented by fully connected layers specifically designed for this purpose. …”
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Advanced Cancer Classification Using AI and Pattern Recognition Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…Accurate cancer classification is essential for early detection and effective treatment, yet the complexity of gene expression presents significant challenges. …”
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Use of UAVs to assess fire hazard of areas adjacent to trunk pipelines by Sharafutdinov Azat, Abdullin Nail, Balyklov Alexander, Akhmetkhafizov Aydar

“…The purpose of using multi-and hyperspectral complexes based on unmanned aerial vehicles is to increase the efficiency of fire safety control of trunk oil pipelines. …”
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MARSweb: a fully automated web service for set-based association testing by Taegun Kim, Jaeseung Song, Jong Wha J. Joo

“…It offers an intuitive user interface, making complex analyses more accessible while significantly reducing processing time for enhanced efficiency. …”
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Fat-tail allele-specific expression genes may affect fat deposition in tail of sheep. by Hossein Mansourizadeh, Mohammad Reza Bakhtiarizadeh, Luciana Correia de Almeida Regitano, Jennifer Jessica Bruscadin

“…The genetic background underlying fat deposition in the tail of sheep is complex, multifactorial, and may involve allele-specific expression (ASE) mechanism to modulate allelic expression. …”
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Stem cell culture conditions affect in vitro differentiation potential and mouse gastruloid formation. by Marloes Blotenburg, Lianne Suurenbroek, Danique Bax, Joëlle de Visser, Vivek Bhardwaj, Luca Braccioli, Elzo de Wit, Antonius van Boxtel, Hendrik Marks, Peter Zeller

“…Aggregating low numbers of mouse embryonic stem cells (mESCs) and inducing Wnt signalling generates 'gastruloids', self-organising complex structures that display an anteroposterior organisation of cell types derived from all three germ layers. …”
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GPR Diffraction Separation by Incorporating Multilevel Wavelet Transform and Multiple Singular Spectrum Analysis by Haolin Wang, Honghua Wang, Zhiyang Hou, Fei Zhou

“…Numerical tests showcase that the biorthogonal wavelet basis function bior4.4 provides remarkably efficient GPR diffraction separation performance, and the number of clusters in the k-means clustering algorithm typically ranges from 9 to 15, accounting for the complexity of the wave components. …”
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Experimental modeling of the relationship between adhesion and friction forces in assessing the stickiness of materials by Grigorev P.A., Sladkova L.A.

“…For ground-based transport and technological complexes, soil sticking is characteristic of the surfaces of the working bodies of earthmoving and agricultural machines, conveyor belts, walls of mixing plants, etc. …”
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Determination of High Content of Molybdenum in Molybdenum Ore by Emission Spectrometry with Solid Sampling Technique by Xinwei GUO, Kun LI, Zhihong HAO, Jianzhen YAO, Jinli XU, Jinfeng BAI

“…., which are primarily based on liquid injection, with a lengthy analytical procedure, complex steps, and a measurable range of 0.01%-5.17%[16]. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…It exploits the fundamental trade-off between the complexity and simplicity of statistical sets in high-dimensional spaces without relying on global optimization techniques. …”
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Development and reliability of test to measure perceptual-motor performance in combat sports: the Striking Reaction Time Task (SRTT) by Heloiana Faro, Lucas Arthur Duarte de Lima, Rodrigo Diego Morais da Silva, Arnaldo L. Mortatti, Daniel Gomes da Silva Machado

“…The intraclass correlation coefficient (ICC), coefficient of variation (CV), and minimal detectable change (MDC) of reaction time (RT) were analyzed. …”
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A fair dividend approach for aggregating wearable sensor data to improve electronic health records. by Turki M Alanazi, Noha Alduaiji, Chahira Lhioui, Rim Hamdaoui, Somia Asklany, Monia Hamdi, Ali Elrashidi, Ghulam Abbas

“…The sequence determination uses balanced linear scheduling, optimizing the structure of sensing operations and increasing WS input availability when interruptions from multiple sensors, thereby boosting operating efficiency. The proposed approach outperforms baseline methods in access time, computational complexity, data utilization, processing time, aggregation ratio, and error rate by 10.18%, 5.19%, 10.57%, 8.48%, and 10.42%, respectively. …”
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Chemotactic response and adaptation dynamics in Escherichia coli. by Diana Clausznitzer, Olga Oleksiuk, Linda Løvdok, Victor Sourjik, Robert G Endres

“…Specifically, we use a condensed representation of adaptation time courses for efficient evaluation of different adaptation models. …”
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Metabolomic Biomarkers Differentiate Soy Sauce Freshness under Conditions of Accelerated Storage by Thiruchelvi R. Reddy, Katherine A. Overmyer, Joshua J. Coon, MaryAnne Drake, Taro Horiba, Scott A. Rankin

“…We present a metabolomic approach for the analysis of complex food systems capable of differentiating a quantifiable extrinsic variable, which is, in this case, storage time with a correlation coefficient of 0.99. …”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…As the number of dependent parameters increases, assessing the residual life of the structural elements and providing a practically applicable suitable model become very complex. Machine learning (ML)-based prediction models are beneficial in dealing with such complex databases. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The complexity and fusion dynamism of the modern industrial and chemical sectors have been increasing with the rapid progress of IR 4.0–5.0. …”
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