Use of over-the-counter antiallergic products–analysis of sales data in Poland from 2020 to 2023 by Łukasz Dudziński, Marcin Weiner, Tomasz Kubiak, Julia Grochowska, Robert Gałązkowski, Lukasz Czyzewski

“…The stable demand also provides a basis for improving supply chain logistics and forecasting models related to allergy self-management.…”
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Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques by Rami Mustafa A. Mohammad, Malak Aljabri, Menna Aboulnour, Samiha Mirza, Ahmad Alshobaiki

“…The dataset provides detailed information on 582 COVID-19 patients and facilitates a robust forecasting model of the mortality rate. The dataset was analysed using seven ML classifiers, namely, Bagging, J48, logistic regression (LR), random forest (RF), support vector machine (SVM), naïve Bayes (NB), and threshold selector. …”
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Facilitating the shift to more collaborative microgrids by alleviating demand volatility using a precontracted order updates strategy by Hanaa Feleafel, Jovana Radulovic, Michel Leseure

“…Multiple simulation scenarios have been developed to analyse the performance of a grid-connected MG when the grid order update rules are altered. …”
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INTRODUCTION OF ALTERNATIVE (RENEWABLE) ENERGY IN UKRAINE AS A STRATEGIC RESPONSE TO ECONOMIC CHALLENGES IN A SPECIAL PERIOD by Fedir Shulzhenko, Volodymyr Iemelianov, Bohdan Chyzh

“…An important role is also played by statistical analysis and forecasting methods, which allow to assess future developments in the energy sector. …”
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Regional SDG Performance in Bulgaria and Romania: Poverty, Education, and Decent Work by Alexandra-Nicoleta Ciucu (Durnoi), Kosyo Stoychev, Camelia Delcea, Vanesa Mădălina Vargas, Carmen Păuna

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A Social Pragmatic Study of Selected Women Sex-Related Yorùbá Proverbs Translated In English by Festus Moses Onipede, Victoria Oluwakemi Olofin

“…The six philosophical background levels and the Yoruba worldview are taken into consideration when analysing the work. These include the levels of context, language, psychology, cosmology, sociology, and society. …”
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Comparison of Pavement Performance Models for Urban Road Management System by Igoris Kravcovas, Audrius Vaitkus, Rita Kleizienė

“…According to the measured data, the combined pavement condition indices using two methodologies were determined, as well as a global condition index for each road. The analysed roads were prioritized for maintenance and rehabilitation in respect to these criteria. …”
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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

“…The research focuses on analysing the complex characteristics of the agricultural industry, with a particular emphasis on the nutritional importance of tropical fruits, notably bananas and arecanut. …”
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Enhancing Supply Chain Resilience: The Impact of 4.0 Technologies by Federico Briatore, Francesca Vanni, Roberto Mosca, Marco Mosca

“…Internet of Things can collect data, analysed by AI and made available with AR and VR to operators. …”
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MONITORING OF THE FINANCIAL CONDITION OF THE COMPANY by V. E. Gladkova, V. V. Zharikov

“…In this study the methodology of calculation of the breakeven point and its projection of the dynamics of changes in the time lag will allow new businesses to forecast and take into account seasonal fl uctuations in demand for their products.Goals/objectives: the Authors of this publication have set ourselves three main goals: to improve the classical method of determining the breakeven point; to identify the dynamics and patterns of basic mathematical relations that determine the interdependence between the volume of sales (income) and total costs; the possibility of applying this methodology economists in production to implement predict the future costs of production.Methodology: the Authors used the conventional scientifi c approaches and methods to analyse and identify mathematical relationships that take into account the specifi c economic and industry conditions and can be further used as template functions to predict the break-even point at a certain time lag.Results: the study authors derived a mathematical relation of volume of sales and total costs, which allows the maximization of the profi ts of Russian companies [1, 2].Discussion/application (if any): explores options graphs break-even point. …”
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Transprofessional education in the student discourse: Demand, expectations, risks by A. N. Pinchuk, S. G. Karepova, D. A. Tikhomirov

“…The prospects and possibilities of implementing the concept of transprofessionalism in the modern system of higher education require understanding a number of conceptual and practical issues, therefore, it seems urgent and timely to analyse the needs of students themselves in obtaining this type of education.Aim. …”
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Exploring barriers and facilitators to capturing cancer stage at diagnosis in a population-based cancer registry: a cross-sectional survey of health information managers/clinical c... by Laura Woodings, Kris Ivanova, Linda Nolte, Kathryn Baxter, Carla Read, Fiona Kennett, Patsy Catterson, Kerry Davidson, Colin Hornby, Vivian Yang, Jodie Lydeker, Luc te Marvelde, Belinda Yeo, Sue M. Evans

“…Free text questions were analysed using the Theoretical Domains Framework, while all other questions were analysed using descriptive statistics, Spearman rank or Kruskall-Wallis tests. …”
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Effectiveness of predictive scoring systems in predicting mortality in relation to baseline kidney function in adult intensive care unit patients: a systematic review protocol by Greg Knoll, Ayub Akbari, Risa Shorr, Edward G Clark, Gregory L Hundemer, Amos Buh, Hajar El Wadia, Abdulghani Omar Kabli, Marisha Karim, Nandini Biyani, Inok Lee

“…The aim of this review is to assess the performance of predictive scoring systems in forecasting mortality in adult ICU patients in relation to baseline kidney function. …”
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An integrated Artificial neural network technique to optimize the various parameters of Pineapple/SiO2/epoxy-based nanocomposites under NaOH treatment by Natrayan Lakshmaiya, Naga Dheeraj Kumar Reddy Chukka, Seeniappan Kaliappan, V. Balaji, Nimel Sworna Ross, Ramya Maranan

“…The similarity between artificial neural networks and test findings expands the scope of ANN for forecasting strength properties. This approach will assist designers in predicting system failures concerning the operating duration and may be utilised in numerous industrial industries to analyse toughness attributes.…”
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OSH Management in Small and Medium Enterprises: A Bibliometric Review by Sofia Afifah Hazemi, Noor Diana Abdul Majid, Mirta Widia, Hanida Abdul Aziz

“…This study addresses the lack of thematic synthesis and trend forecasting by offering a structured overview of the field's intellectual landscape. …”
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Assessment of emotional intelligence level in intercultural educational environment by T. V. Kuprina, A. A. Evtyugina, S. M. Minasyan, O. V. Taranova

“…The test results were analysed using the SPSS.27 statistical package.Results. …”
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The role of artificial intelligence in innovative management: international experience and Kazakhstan’s opportunities by S.T. Kupeshova, A. Zhidebekkyzy, U.B. Bauyrzhan, J. Wirth

“…Using an evolutionary approach, the article evaluates international experience, while the induction method is applied to forecast the potential use in Kazakhstan’s innovation management sector. …”
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Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and healt... by Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew, Shimels Derso Kebede

“…The study employs machine learning techniques to analyse secondary data from the 2016 Ethiopian Demographic and Health Survey. …”
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Assessment of the hydrocarbon potential of the Bering Sea by E. A. Lavrenova, S. A. Guryanov, V. Yu. Kerimov

“…The issues of hydrocarbon (HC) forecasting and prospecting on sea shelves remain relevant. …”
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“Hot spots” of geoecological risk and problems of territorial planning by V. B. Svalova

“…The long-term consequences of such decisions should be forecasted and analysed.Aim. To identify “hot spots” according to their risk degree in order to exclude the most dangerous areas from further planning and use.Materials and methods. …”
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