MANAGEMENT INFORMATION SYSTEM IN THE INTERACTION BETWEEN UNIVERSITIES AND BUSINESS IN THE AGE OF ARTIFICIAL INTELLIGENCE by Rustam E. Asizbaev, Aziza B. Karbekova, Zhumagul K. Umarbekova, Venera Akylbek kyzy, Siuita М. Kasymova

“…The importance of this collaboration is emphasized, its directions and components are characterized, stages of the development of management information systems and the influence of evolution on relationships between universities and business structures are considered, and the potential of AI in the improvement of the level of this cooperation and ensuring a higher level of innovativeness is characterized, the key directions for the influence of AI algorithms on the improvement of collaboration are described. …”
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Genetically distinct within-host subpopulations of hepatitis C virus persist after Direct-Acting Antiviral treatment failure. by Lele Zhao, Matthew Hall, Prahalad Giridhar, Mahan Ghafari, Steven Kemp, Haiting Chai, Paul Klenerman, Eleanor Barnes, M Azim Ansari, Katrina Lythgoe

“…These results suggest the virus is compartmentalised within individuals, with the varying evolutionary rates due to different viral replication rates and/or different selection pressures. …”
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Exploring Immersive Solutions for Surgery in the Virtuality Continuum: A Review by Belén Palma, Pablo Casanova-Salas, Jesús Gimeno, Manuel Pérez-Aixendri, José Vicente Riera

“…The evolution of technology and computer graphics algorithms has had a significant impact on the healthcare sector. …”
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Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling by A. Kampouri, A. Kampouri, V. Amiridis, T. Georgiou, T. Georgiou, S. Solomos, A. Gialitaki, A. Gialitaki, M. Tsichla, M. Tsichla, M. Rennie, S. Scollo, P. Zanis

“…We leverage data from the ACTRIS <span class="inline-formula">Polly^XT</span> lidar that operates at the PANhellenic GEophysical observatory of Antikythera of the National Observatory of Athens (PANGEA-NOA). The inversion algorithm utilizes lidar observations and an empirical a priori emission profile to estimate the volcanic particle source strength, accounting for altitude and time of the plume's evolution. …”
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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Then, computational algorithms and standardized procedures were used for characterization. …”
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Assessing uncertainties in parton showers at double logarithmic accuracy for jet quenching studies by Carlota Andres, Liliana Apolinário, Néstor Armesto, André Cordeiro, Fabio Dominguez, José Guilherme Milhano

“…These are coupled with two kinematic reconstruction schemes defined by different phase-space constraints. We show that, while global features are relatively stable, differences emerge in the temporal evolution of the cascade. …”
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies by Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

“…ResultsThe analysis revealed significant regional and temporal differences in collective sense-making during the pandemic. …”
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Research progress on shale gas productivity evaluation: concepts, methods and future directions by ZHU Suyang, PENG Zhen, DI Yunting, PENG Xiaolong, LIU Dongchen, GUAN Wenjie

“…In addition, further work is needed to incorporate mechanism-informed constraints into machine learning algorithms, enhance model transparency through causal inference, and improve interpretability. …”
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Transcriptomic and proteomic analysis reveals wall-associated and glucan-degrading proteins with potential roles in Phytophthora infestans sexual spore development. by Xiaofan Niu, Audrey M V Ah-Fong, Lilianna A Lopez, Howard S Judelson

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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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ANALISIS OF THE INFLUENCE OF THE MAIN PARAMETERS AND CONDITION OF WORK OF AIRCRAFT CESN ON THE EFFICENCY OF THEIR USE METHODS OF MATHEMATICAL MODELING by V. I. Troitsky

“…The aim of the numerical experiments was the analysis of the influence of the main parameters (characteristics of the radiometer and antenna, a means of reviewing the space, parameters of the current image and the reference image, methods for image processing (algorithms for image correlation), conditions of the equipment operation (the speed and altitude of aircraft, the evolution of media) on the efficiency of CESN. …”
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Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…To retain the original network’s performance as much as possible, we combine population evolution and ant colony algorithms for dynamic search processes to automatically find efficient sparse sub-networks. …”
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Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

“…White dwarfs (WD) with main-sequence (MS) companions are crucial probes of stellar evolution. However, due to the significant difference in their luminosities, the WD is often outshined by the MS star. …”
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Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. by Roland F Schwarz, Charlotte K Y Ng, Susanna L Cooke, Scott Newman, Jillian Temple, Anna M Piskorz, Davina Gale, Karen Sayal, Muhammed Murtaza, Peter J Baldwin, Nitzan Rosenfeld, Helena M Earl, Evis Sala, Mercedes Jimenez-Linan, Christine A Parkinson, Florian Markowetz, James D Brenton

“…The objective of this study was to determine whether intra-tumour genetic heterogeneity resulting from clonal evolution and the emergence of subclonal tumour populations in HGSOC was associated with the development of resistant disease.…”
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Application of the LDA model to identify topics in telemedicine conversations on the X social network by Mario Sierra Martín, Fang-Wei Chen, Pilar Alarcón Urbistondo

“…Abstract The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. …”
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Detection and Analysis of Malicious Software Using Machine Learning Models by Selman Hızal, Ahmet Öztürk

“…The continuous evolution of malware poses a significant challenge in cybersecurity, adapting to technological advancements despite implemented security measures. …”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Corporate Social Responsibility: Completeness and Transparency of Information by M. V. Melnik, M. T. Velikhanov

“…The main stages of the formation and evolution of this concept in the world scientific literature and in practice of corporate structures are shown. …”
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QoS Analysis for a Nonpreemptive Continuous Monitoring and Event-Driven WSN Protocol in Mobile Environments by Israel Leyva-Mayorga, Mario E. Rivero-Angeles, Chadwick Carreto-Arellano, Vicent Pla

“…Specifically, mobile applications require the system to respond in a certain manner in order to adequately track the target object. Hybrid algorithms that perform Continuous Monitoring (CntM) and Event-Driven (ED) duties have proven their ability to enhance performance in different environments, where emergency alarms are required. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…Cultural contexts can significantly influence how students from different backgrounds understand and use AI systems. …”
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