“The role of ai-driven social media marketing in shaping consumer purchasing behaviour: An empirical analysis of personalization, predictive analytics, and engagement” by Patil Ruturaj, K Shivashankar, Porapur Shantavva M., Kagawade Shivanand

“…Here we discuss and analyse the effects that interaction tools, personalization, and predictive analysis in AI SMM have on customer buying behaviour are discussed and analyzed. …”
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Shifts in seasonal influenza patterns in Australia during and after COVID-19: A comprehensive analysis by Cynthia Lu, Ian G. Barr, Stephen Lambert, Kerrie Mengersen, Liping Wang, Weizhong Yang, Zhongjie Li, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu

“…The rapid resurgence of influenza activity in 2022 and 2023, combined with altered onset timings, highlights the importance of ongoing surveillance and adaptive forecasting models to address the evolving complexity of influenza epidemiology in the post-pandemic era.…”
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Long-term Characterization of Urban PM10 in Hungary by Zita Ferenczi, Kornélia Imre, Mónika Lakatos, Ágnes Molnár, László Bozó, Emese Homolya, András Gelencsér

“…An important aspect of studying the trends of air pollution is that the tendencies depend not only on the emissions of certain pollutants but also on the meteorological conditions in the area of interest. To analyse emission-related trends, the meteorological signal must be removed from the data series. …”
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Impact of Fire Recurrence and Water Stress on the Root Nucleolar Activity of Maritime Pine (<i>Pinus pinaster</i> Ait.) Individuals Whose Seeds Were Harvested in Post-Fire Naturall... by Ana Carvalho, Inês Margarida Lopes, Stéphanie Ribeiro, Teresa Fonseca, José Lima-Brito

“…Hypothesising that fire recurrence and/or polyethylene glycol (PEG)-induced water stress would cause nucleolar changes in <i>Pinus pinaster</i> roots, nucleolar parameters were analysed upon the germination of seeds harvested in post-fire naturally regenerated stands with different fire regimes. …”
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A critical systematic review of extracellular vesicle clinical trials by Rachel R. Mizenko, Madison Feaver, Batuhan T. Bozkurt, Neona Lowe, Bryan Nguyen, Kuan‐Wei Huang, Aijun Wang, Randy P. Carney

“…As academic research identifies more chemically distinct subpopulations and technologies for their enrichment, we forecast to more refined EV trials in the near future. …”
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Machine Learning-Driven Parametric Analysis of Eco-Friendly Ultrasonic Welding for AL6061-CU Alloy Joints by A. Karan, S. Arungalai Vendan, M. R. Nagaraj, M. Chaturvedi, S. Sivadharmaraj

“…A machine learning tool is employed to forecast the weld strength and joint resistance for differing ranges of process parametric values and accordingly optimize it.…”
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Methylation Status of the Telomerase Reverse Transcriptase Promoter in Parotid Tumours and Adjacent Parotid Gland Tissue: A Pilot Study on the Implications for Recurrence and Devel... by António Paiva-Correia, Joana Apolónio, Alfons Nadal, José Ricardo Brandão, Nádia Silva, Bianca Machado, Ivan Archilla, Pedro Castelo-Branco, Henrik Hellquist

“…TERT promoter mutations (TPMs) were analysed by Sanger sequencing. Results: THOR methylation significantly differed across the seven groups. …”
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Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) by José Ginés Giménez Manuel, José Giner Pérez de Lucia, Marco Antonio Celdrán Bernabeu, José Norberto Mazón López, Juan Carlos Cano Escribá, José María Cecilia Canales

“…To address this data gap, our prior research employed ARIMA modelling on Airbnb booking time series and analysed tourism‐related Twitter conversations to forecast occupancy levels in Torrevieja (Alicante); a prominent second‐home tourism destination in Southeastern Spain. …”
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The use of smart technologies for enhancing palliative care: A systematic review by Kudakwashe Maguraushe, Belinda Mutunhu Ndlovu

“…Resultantly, 19 articles met the inclusion criteria and were analysed. Findings The main results reveal that smart technologies enhance the quality of life and efficiency of palliative care, notably telemedicine, wearable devices, and mobile health apps. …”
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MARKET EVALUATION OF RAPESEED IN UKRAINE: PERSPECTIVES AND CHALLENGES by Oksana MAKARCHUK, Tetyana KUTS, Oleksandr LABENKO, Oleksandr KUTS

“…In this regard, in the article the rapeseed prices were forecasted to evaluate their change in a short term period under a favourable external rapeseed market conjuncture. …”
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Integration of Augmented Reality Elements in Hotel Management: Customer Experience by Oksana Oliinyk

“…The aim of the study is to analyse how the use of augmented reality technologies is transforming management practices in the hospitality industry by improving the quality of customer service and promoting service personalisation. …”
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White blood cell Indices to predict first trimester missed miscarriage by Esraa Hameed Humadi, Hana,a Asa,ad Maki

“…Reduced MLR and NLR levels can be utilised to forecast miscarriages in a cost-effective manner. …”
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CONCENTRATION OF TOXIC INGREDIENTS (HAEVY METALS AND AROMATIC HYDROCARBONS) IN ORGANS AND TISSUES OF HYDROBIONTS IN CENTRAL CASPIAN DISTRICT by S. A. Guseinova, A. A. Gadzhiev

“…The analysis of the dynamics of the pollutant concentration in tissues reflects the situation created in the drilling areas; it will help forecast and avert the negative impact of hydrocarbon production on the Caspian Sea ecosystem.…”
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Software Package for Remote Diagnostics of Agricultural Machinery Condition by M. N. Kostomakhin, E. V. Pestryakov

“…(Conclusions) A neural network for equipment condition diagnostics was created, which increases the efficiency of decision-making in case of repair, and improves forecast and predictability. The criteria for equipment operation were proposed.…”
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DEVELOPMENT OF THE CHARACTERISTICS OF THE INSTITUTIONAL ENVIRONMENT FOR THE MODELING OF SUSTAINABLE DEVELOPMENT OF REGIONS by N. A. Ivanov, I. V. Kozhushkina, M. S. Oborin, M. Yu. Sheresheva

“…Research methods comprise the system analysis, socio- economic modelling and forecasting. The method of graphic images  is used in order to visualise the analytical data and the results.Results. …”
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Severe Convection at Burgas Airport: Case Study 17 September 2022 by Bilyana Kostashki, Rosen Penchev, Guergana Guerova

“…Convection monitoring and forecasting are crucial for air traffic management as they can lead to the development of intense thunderstorms and hazards such as severe turbulence and icing, lightning activity, microbursts and hail that affect aviation safety. …”
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Incidence and disability-adjusted life-years of infective endocarditis in China from 1990 to 2021: comparison with G20 based on the Global Burden of Disease Study 2021 by Yan Gu, Chong Liu, Hong Chenliang, Zhu Weimin, Peng Qianping

“…Objectives Infective endocarditis (IE) is a global public health challenge, and our understanding of its temporal evolution in China compared with the Group of Twenty (G20) countries remains limited. This study aims to analyse the disease burden of IE in China from 1990 to 2021, forecast trends for the next 15 years and compare the findings with those in G20 countries.Design Observational study.Setting The data of 20 countries and regions in G20 were obtained from the Global Burden of Disease (GBD) Study 2021.Participants Data were publicly available and individuals were not involved.Main outcome measures Using data from the GBD 2021, we collected incidence, disability-adjusted life-years (DALYs) and age-standardised rates for both China and G20 countries. …”
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Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods by Chaitanya B. Pande, Sunil A. Kadam, Rajesh Jayaraman, Sunil Gorantiwar, Mukund Shinde

“…Soil chemical properties analysis and forecast model was developed and validated with the Wavelet transform methods and multispectral satellite images. …”
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Basic Models for the Development of Inclusive Education in Moscow by M. R. Husnutdinova

“…In addition, the knowledge of characteristics of each of them contributes to forecasting its possible development and adopting more effective management decisions.…”
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La télédétection de la neige dans les Andes comme outil de prévision des débits des rivières du Cuyo by Nicolas Delbart, Samuel Dunesme, Emilie Lavie, Malika Madelin, Régis Goma

“…Our research indicates that it is possible to use remote sensing to forecast the average discharge in the September-April period (high-water season) from MOD10A2 images with an average uncertainty of 15%. …”
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