Inteligencia artificial: retos y desafíos de la ética laboral en la sociedad tecnológica by Daniel Augusto Duarte Arias, Orlando Ortega Chacón

“…These models address the ability of machines to perform tasks ranging from communication to solving complex problems, such as those encountered in business environments. …”
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Quantification of elastomers in CR/NR/BR blends by Taynara Alves de Carvalho, Alexandra Helena de Barros, Rachel Farias Magalhães, Milton Faria Diniz, Lídia Mattos Silva Murakami, Jorge Carlos Narciso Dutra, Natália Beck Sanches, Rita de Cássia Lazzarini Dutra

“…Quantifying rubbers in a blend, in which each content influences the result, is a task complex and usually requires the coupling of techniques. …”
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Factors influencing K-12 teachers’ experiences of using Generative AI Tools: opportunities and barriers by memnüne kokoç

“…Its importance in the research field stems from its ability to process and analyze large datasets, identify patterns and trends, provide new insights, and automate complex tasks. …”
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Factor structure and psychometric properties of the Hungarian version of the Mentalized Affectivity Scale (MAS): A cross-sectional study. by Veronika Bóné, Éva Kalla, Attila Pilinszki

“…Mentalized affectivity is a complex cognitive and affective ability to understand thoughts, feelings and intentions of oneself and others.…”
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PRIVACY PREFERENCES AND TRUST IN CENTRAL BANKS: HETEROGENEITY IN CASE OF CBDC by Віктор Козюк, Юрій Івашук, Юрій Гайда

“…Although baseline consistency in privacy preferences is observed, it dissipates when choice complexity increases. Significantly, we find no systematic relationship between individuals' quantified privacy preference levels and their choices regarding CBDC anonymity vs. functionality, their trust in the central bank's ability to protect CBDC privacy, or their belief in central bank independence as essential for that protection. …”
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Key wound healing genes as diagnostic biomarkers and therapeutic targets in uterine corpus endometrial carcinoma: an integrated in silico and in vitro study by Fuchuan Jiang, Sajjad Ahmad, Sadia kanwal, Yasir Hameed, Qian Tang

“…Abstract Background Uterine Corpus Endometrial Carcinoma (UCEC) is a prevalent gynecologic malignancy with complex molecular underpinnings. This study identifies key woundhealing genes involved in UCEC and elucidates their roles through a comprehensive analysis. …”
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THE IMPORTANCE OF USING GIS IN INCREASING THE EFFICIENCY OF AGRICULTURAL FARMS - A BIBLIOMETRIC APPROACH by Mirela PLESA, Liviu MARCUTA, Alina MARCUTA, Alexandru FINTINERU, Andreea Roxana FIRĂŢOIU, Ovidiu GUSAN

“…GIS technology provides solutions to these problems through its ability to collect, analyze and visualize complex geospatial data. …”
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Modeling ESG Relationships with the Employability-Operational Growth-Profitability Trilogy in the European Food System by Mirela Sichigea, Laura Vasilescu, Laurențiu Mihai, Cătălina Sitnikov

“…Modelling the complex structure of links between the variables relevant to the management of the transition to climate neutrality creates new perspectives on the correlations between them, exercised directly and indirectly (the ability to mediate). …”
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Triassic source rocks of the Eastern Ciscaucasia by P. A. Volkova, E. A. Lavrenova, M. S. Levitskaya, T. N. Suyunbayev

“…The results of basin analysis were used to construct the distribution maps of Neftekumskaya, Kultaisko-Demyanovskaya and Kizlyarskaya source rocks and to assess their charging ability for Lower and Middle Triassic reservoirs.Conclusion. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In particle swarm optimization for complex optimization challenges, parameter selection significantly influences performance across various population states. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby compromising prediction accuracy and stability. …”
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Scanning microwave impedance microscopy and its applications: A review by Diego Tami, Douglas A. A. Ohlberg, Cássio Gonçalves do Rego, Gilberto Medeiros-Ribeiro, Jhonattan C. Ramirez

“…Recent advancements in finite element modeling and the application of lumped-element circuit models have further enhanced the precision of signal interpretation, enabling more accurate analysis of complex systems. This review highlights sMIM’s wide-ranging applications, from material science and semiconductor diagnostics to biological systems, showcasing its ability to perform non-destructive, high-resolution imaging down to the single-digit nanometer scale. …”
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Motor dysfunction in elderly patients with chronic musculoskeletal system diseases (locomotive syndrome) by M. V. Putilina, N. V. Teplova, O. A. Gromova, I. Yu. Torshin, M. Yu. Maksimova, Yu. S. Prokofieva

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Is Seeing Believing? A Practitioner’s Perspective on High-Dimensional Statistical Inference in Cancer Genomics Studies by Kun Fan, Srijana Subedi, Gongshun Yang, Xi Lu, Jie Ren, Cen Wu

“…Connections in high-dimensional inferences between the two realms have been fully exploited under the “unpenalized loss function + penalty term” formulation for regularization methods and the “likelihood function × shrinkage prior” framework for regularized Bayesian analysis. In particular, we advocate for robust Bayesian variable selection in cancer genomics studies due to its ability to accommodate disease heterogeneity in the form of heavy-tailed errors and structured sparsity while providing valid statistical inference. …”
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Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11. by Matthew B Tessier, Oliver C Grant, Jamie Heimburg-Molinaro, David Smith, Snehal Jadey, Andrew M Gulick, John Glushka, Susan L Deutscher, Kate Rittenhouse-Olson, Robert J Woods

“…The analysis employed a structure of the immune complex, generated by docking the TF-disaccharide (Galβ1-3GalNAcα) into a crystal structure of the JAA-F11 antigen binding fragment, which was shown to be consistent with saturation transfer difference (STD) NMR data. …”
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An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result by Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le

“…The primary goal is to accurately assess the solver’s ability to replicate theoretical analysis of interface behaviors under various conditions. …”
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Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. by Yankun Jiang, Jinhui Liu, Xiaotuan Li

“…The rationale behind employing the CIMA-AttGRU model lies in its ability to effectively tackle the inherent challenges of financial market analysis. …”
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Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning by Chengping Chai, Omar Marcillo, Monica Maceira, Junghyun Park, Stephen Arrowsmith, James O. Thomas, Joshua Cunningham

“…With advances in machine learning and computing power, new opportunities have emerged to explore the seismic wavefield in these complex environments. We applied two unsupervised machine learning algorithms to analyze continuous seismic data collected from an industrial facility in Texas, United States. …”
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Creativity: Myths and reality by Manokhina, Nadezhda Vasilievna, Mityaeva, Natalia V.

“…Formation processes of creativity as a universal competence are investigated from a comparative position and a theoretical methodological basis is developed for the debunking of myths about creativity. Theoretical analysis. Creativity is interpreted by the authors as a special ability of subjects (individuals, groups, organizations) to create something new, original, non-trivial. …”
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The Role of Optical Coherence Tomography in the Diagnosis of Angle Closed Diseases of the Anterior Chamber. Part 2: Visualization of the Posterior Segment of the Eye by N. I. Kurysheva, G. А. Sharova

“…Optical coherence tomography is a standard in modern diagnostics and evaluation of the effectiveness of treatment of diseases of primary angle closure, allowing a better understanding of the pathogenesis of the disease and its complex nature. Imaging improves the ability to accurately diagnose and choose the right treatment strategy.…”
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