BUREAUCRATISM AS AN INDICATOR OF SYSTEMIC CONTRADICTIONS IN THE EDUCATION SYSTEM by A. P. Usol'tsev

“…The study is made up of the comparative, structural and functional analysis of educational systems with the methods of modeling and forecasting application.Results and scientific novelty. …”
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Stochastic behaviour of Ghana power grid with massive electro-mobility penetration by Emmanuel Yeboah Asuamah, Abass Ishaq, Samuel Jonas Yeboah, William Duodu Asihene

“…The study employed Microsoft Excel and DIgSILENT PowerFactory tools to forecast the EVs, electricity demand, and grid impact analysis. …”
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Structural and functional analysis of the accessory gene regulators of Staphylococcus aureus and Staphylococcus epidermidis: an in Silico approach by Subhamoy Dey, Tuhin Manna, Kartik Chandra Guchhait, Monalisha Karmakar, Debarati Jana, Priyanka Raul, Saroj Ballav, Mousumi Manna, Subrata Hazra, Amiya Kumar Panda, Chandradipa Ghosh

“…Structure-based ab initio models could forecast subcellular localization, domain length, molecular docking, and simulation of Agrs in the isolates belonging to Staphylococcus sp. …”
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Spatiotemporal trends in Anopheles funestus breeding habitats by Grace R. Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Onisimo Mutanga, John Odindi, Henri E.Z. Tonnang

“…The analysis spanned a five-year interval, 2008, 2013, and 2018 with 2013 serving as the base year for both hindcast and forecast predictions. The MCDA utilized categorical land use/land cover (LULC) and edaphic variables to identify potential breeding habitats, while climatic and topographic variables and spectral indices were analysed using fuzzy logic to assess the similarity or divergence of these habitats over time. …”
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A global survey addressing sustainability of pollen monitoring by Divya Dwarakanath, BSc, MPhil, Andelija Milic, BSc, PhD, Paul J. Beggs, BSc, PhD, Darren Wraith, BCom, GradDipHE, BMath, PhD, Janet M. Davies, BSc, PhD

“…Quantitative data were analysed by descriptive statistics and open text responses were examined by qualitative thematic analysis. …”
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“Spongetown” Christiania as an urban living lab: Nature-based solutions for resilient, circular, symbiotic, and regenerative transitions in urban waters by Manuel Higgs Morgado, Despoina Vasiliki Vastardi, Flore-Eva Baudot Almeida, Hanaa Dahy

“…These criteria inform scenario planning in our project, “Spongetown Christiania,” forecasting trajectories and pathways for local governance of infrastructure, urban renewal and development.…”
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Impact of climate and land use on the temporal variability of sand fly density in Sri Lanka: A 2-year longitudinal study. by Sanath C Senanayake, Prasad Liyanage, Dulani R K Pathirage, M F Raushan Siraj, B G D Nissanka Kolitha De Silva, Nadira D Karunaweera

“…<h4>Methodology/principal findings</h4>We analysed monthly collections of sand flies (n = 38,594) and weather data from ten sentinel sites representing three main geo-climatic zones across Sri Lanka, over 24 months. …”
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DYNAMICS OF URBAN LANDSCAPE AND ITS THERMAL INTERACTIONS WITH SELECTED LAND COVER TYPES: A CASE OF BENIN CITY, NIGERIA by Oseyomon John AIGBOKHAN, Oludare Hakeem ADEDEJI, Abiodun Olusegun OLADOYE, John Adebayo OYEDEPO

“…In this study, the spatiotemporal dynamics of the urban environment and thermal environment of Benin City are analysed. The maximum likelihood algorithm for land use and land cover (LULC) analysis was used to categorise Landsat images. …”
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MONITORING OF THE CURRENT STATUS OF STUDENTS AS A MEANS OF INCREASING THE EFFECTIVENESS OF EDUCATIONAL PROCESS by M. V. Alyushin, L. V. Kolobashkina

“…The research was based on: a systematic approach to the accumulation, systematization and analysis of individual biometric information that allows a reliable assessment and forecast of changes in the current FPES of students; implementation of the principle of biofeedback (BF) and passive remote non-contact measurements of current human biological parameters that exclude any impact on it. …”
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Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco by Abdelouafi Boukhris, Antari Jilali, Abderrahmane Sadiq

“…The advancement of artificial intelligence techniques, synchronized with satellite imagery, has emerged as a potent approach for forecasting crop yields in modern times. We used two types of data: spatial data and temporal data. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…Traditional methods for estimating horizontal well productivity exhibit limited applicability due to reservoir heterogeneity and unfavourable petrophysical properties; therefore, this study proposes the use of machine learning for IPHTSG forecasting by systematically analysing the engineering parameters and production metrics. …”
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Assessing how pro-environmental perspectives impact participation in rooftop organic agriculture in urban neighborhoods by Mohammad Enamul Hoque, Abdullah Al Mamun, Perengki Susanto

“…In addition, PNs and SNs forecasted the intention to produce organic food in urban-area rooftop gardens. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…Such calibrations are an essential complement to the development of erosion models which are able to forecast the impacts of future global change. For the first time, we use data with a very high spatio-temporal resolution to calibrate a soil erosion model.…”
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Right ventricular dysfunction for prediction of long‐term recovery in de novo HFrEF : a PROLONG‐II substudy by Aiste Monika Jakstaite, Johanna Mueller‐Leisse, Henrike A.K. Hillmann, Stephan Hohmann, Jörg Eiringhaus, Udo Bavendiek, Tibor Kempf, Christian Veltmann, Johann Bauersachs, David Duncker, D. Berliner

“…Abstract Aims To analyse the predictive value of advanced markers of right ventricular (RV) function and RV‐pulmonary arterial (PA) coupling in forecasting long‐term left ventricular (LV) improvement in de novo heart failure with reduced ejection fraction (HFrEF). …”
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Geophysical fingerprint of the 4–11 July 2024 eruptive activity at Stromboli volcano, Italy by L. Zuccarello, L. Zuccarello, D. Gheri, S. De Angelis, S. De Angelis, R. Civico, T. Ricci, P. Scarlato

“…Our findings offer valuable insights into Stromboli's eruptive dynamics and other open-conduit volcanoes, highlighting the importance of integrated geophysical observations for understanding eruption dynamics forecasting, and associated risk mitigation.</p>…”
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Long-Term Effectiveness and Safety of Proactive Therapeutic Drug Monitoring of Infliximab in Paediatric Inflammatory Bowel Disease: A Real-World Study by Susana Clemente Bautista, Óscar Segarra Cantón, Núria Padullés-Zamora, Sonia García García, Marina Álvarez Beltrán, María Larrosa García, Maria Josep Cabañas Poy, Maria Teresa Sanz-Martínez, Ana Vázquez, Maria Queralt Gorgas Torner, Marta Miarons

“…Background: This study evaluated the long-term effectiveness and safety of a multidisciplinary early proactive therapeutic drug monitoring (TDM) program combined with Bayesian forecasting for infliximab (IFX) dose adjustment in a real-world dataset of paediatric patients with inflammatory bowel disease (IBD). …”
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Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries: a scoping review by Odhran Mallon, Odhran Mallon, Odhran Mallon, Freddy Lippert, Freddy Lippert, Willem Stassen, Marcus Eng Hock Ong, Caitlin Dolkart, Caitlin Dolkart, Thomas Krafft, Eva Pilot

“…Articles assessing dispatch forecasting were the most common, although artificial intelligence tools are also utilised in classification and disease prediction. …”
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Combinational ability of varieties and self-pollinated lines of industrial hemp for seed and oil use in the topcross system by С. В. Міщенко, В. М. Кабанець, Г. І. Кириченко, Т. Ю. Марченко, Г. М. Лайко

“…Conclusions. In the analysed crosses, the additive effects of genes prevail in terms of thousand-seed weight and oil content, indicating the feasibility of selecting for phenotype. …”
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Assessment of Quality of Life in Patients with Chronic Systolic Heart Failure, Impact of Diuretics on Quality of Life by Ivanov V., Savitska Yu., Kovalchuk A.

“…The purpose of our study was to ascertain the impact of these drugs on QоL in patients with CHF. Aim. To analyse the current literature information in order to assess the quality of life in patients with systolic chronic heart failure and the effect of diuretic therapy on this indicator. …”
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Functions of a professional brand-building foresight technology in modelling the competitiveness of university graduates in the labour market by L. M. Semenova, V. Kačans

“…Based on the results of the conducted surveys, the authors analysed the level of formation of brand-building and foresight competencies and the interest in the technology of personal brand-building as a factor of career self-development. …”
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