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To improve the profitability of production of solar energy products, the authors comprehensively propose to dispose their waste by use of the latter in the adjacent silicon production, as well as in other sectors, including manufacturing of consumer goods.

Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the world’s society—poverty. Our goal is to investigate utilities of AI in poverty prediction via finding answers to the following research questions: (1) How many papers on utilities of AI in poverty prediction were published up until March, 2022? (2) Which approach to poverty was applied when AI was used for poverty prediction? (3) Which AI methods were applied for predicting poverty? (4) What data were used for poverty prediction via AI? (5) What are the advantages and disadvantages of the created AI models for poverty prediction? In order to answer these questions, we selected twenty-two papers using appropriate keywords and the exclusion criteria and analyzed their content. The selection process identified that, since 2016, publications on AI applications in poverty prediction began. Results of our research illustrate that, during this relatively short period, the application of AI in predicting poverty experienced a significant progress. Overall, fifty-seven AI methods were applied during the analyzed span, among which the most popular one was random forest. It was revealed that with the adoption of AI tools, the process of poverty prediction has become, from one side, quicker and more accurate and, from another side, more advanced due to the creation and possibility of using different datasets. The originality of this work is that this is the first sophisticated survey of AI applications in poverty prediction.

Les montagnes abritent une part considérable de la population humaine. Environ un milliard de personnes vivent dans des zones montagneuses, qui abritent une riche diversité naturelle et socioculturelle. Aujourd'hui, de nombreuses personnes vivant dans des zones montagneuses du monde entier sont confrontées à des changements fondamentaux de leurs conditions de vie culturelles et économiques. Dans le même temps, les communautés de montagne ont défié les environnements difficiles dans le passé en s'adaptant aux conditions naturelles changeantes et en faisant preuve de niveaux remarquables de résilience. Dans cet article de synthèse, nous fournissons un aperçu complet de la littérature scientifique de langue anglaise sur les sujets liés à la résilience dans les zones de montagne sur la base d'une revue systématique de la base de données documentaire Scopus®. Nous proposons un point de départ structuré pour les interactions science-pratique et les activités concrètes basées sur l'action pour soutenir les moyens de subsistance et renforcer la résilience dans les zones de montagne. Nous suggérons que les lacunes existantes en matière de connaissances puissent être comblées en s'appuyant sur les connaissances locales et en co-créant des solutions avec les communautés. De cette façon, nous pouvons renforcer les capacités d'innovation et amortir activement l'impact des crises tout en soutenant la transformation délibérée vers la durabilité et la régénération pour améliorer davantage la résilience. Las montañas son el hogar de una parte considerable de la población humana. Alrededor de mil millones de personas viven en zonas montañosas, que albergan una rica diversidad natural y sociocultural. Hoy en día, muchas personas que viven en zonas montañosas de todo el mundo se enfrentan a cambios fundamentales en sus condiciones de vida culturales y económicas. Al mismo tiempo, las comunidades de montaña han desafiado los entornos hostiles en el pasado al adaptarse a las condiciones naturales cambiantes y mostrar niveles notables de resiliencia. En este documento de revisión, proporcionamos una descripción general completa de la literatura científica en inglés sobre temas relacionados con la resiliencia en áreas montañosas basada en una revisión sistemática de la base de datos de literatura Scopus®. Proponemos un punto de partida estructurado para las interacciones entre la ciencia y la práctica y actividades concretas basadas en la acción para apoyar los medios de vida y fortalecer la resiliencia en las zonas montañosas. Sugerimos que las brechas de conocimiento existentes se pueden abordar confiando en el conocimiento local y cocreando soluciones con las comunidades. De esta manera, podemos crear capacidad innovadora y amortiguar activamente el impacto de las crisis, al tiempo que apoyamos la transformación deliberada hacia la sostenibilidad y la regeneración para mejorar aún más la resiliencia. Mountains are home to a considerable share of the human population. Around a billion people live in mountainous areas, which harbor rich natural and sociocultural diversity. Today, many people living in mountainous areas worldwide face fundamental changes to their cultural and economic living conditions. At the same time, mountain communities have defied harsh environments in the past by adapting to changing natural conditions and showing remarkable levels of resilience. In this review paper, we provide a comprehensive overview of English-language scientific literature on resilience-related topics in mountain areas based on a systematic review of the Scopus® literature database. We propose a structured starting point for science–practice interactions and concrete action-based activities to support livelihoods and strengthen resilience in mountain areas. We suggest that existing knowledge gaps can be addressed by relying on local knowledge and cocreating solutions with communities. In this way, we can build innovative capacity and actively buffer against the impact of crises while supporting deliberate transformation toward sustainability and regeneration to further enhance resilience. الجبال هي موطن لنسبة كبيرة من السكان. يعيش حوالي مليار شخص في المناطق الجبلية، التي تضم تنوعًا طبيعيًا واجتماعيًا ثقافيًا غنيًا. اليوم، يواجه العديد من الأشخاص الذين يعيشون في المناطق الجبلية في جميع أنحاء العالم تغييرات جوهرية في ظروفهم المعيشية الثقافية والاقتصادية. وفي الوقت نفسه، تحدت المجتمعات الجبلية البيئات القاسية في الماضي من خلال التكيف مع الظروف الطبيعية المتغيرة وإظهار مستويات ملحوظة من المرونة. في ورقة المراجعة هذه، نقدم نظرة عامة شاملة على الأدبيات العلمية باللغة الإنجليزية حول الموضوعات المتعلقة بالمرونة في المناطق الجبلية بناءً على مراجعة منهجية لقاعدة بيانات أدبيات Scopus®. نقترح نقطة انطلاق منظمة للتفاعلات بين العلوم والممارسات والأنشطة العملية الملموسة لدعم سبل العيش وتعزيز القدرة على الصمود في المناطق الجبلية. نقترح أنه يمكن معالجة الفجوات المعرفية الحالية من خلال الاعتماد على المعرفة المحلية وإيجاد حلول مشتركة مع المجتمعات. وبهذه الطريقة، يمكننا بناء قدرات مبتكرة والوقاية بنشاط من تأثير الأزمات مع دعم التحول المتعمد نحو الاستدامة والتجديد لزيادة تعزيز المرونة.

The article discusses the sorption of purification of water bodies from impurities using natural inorganic sorbents. The availability and low cost of minerals are an important economic advantage of their use for the purification of all types of water. The article describes a method of using an effective sorbent with high ion-exchange and sorption properties for purification of light oil products, for the purification of drinking or industrial water with a high content of heave technogenic metal ions and organic substances. Based on the data obtained, conclusions are drawn about the possibility of using the studied natural mineral sorbents for the extraction of impurities from waste and natural waters.

The association between trade, financial development, consumption of renewable energy, environmental quality, foreign direct investment, and economic growth is important for sustainable growth and environmental strategies. Hence, this research unveils this association in selected low- and high-income economies from 1996 to 2020. Unlike most of the previous literature, this study uses a composite environmental quality index, a composite financial development index, and a composite trade share measure to better represent environmental quality, financial development, and trade openness, respectively. The Continuously Updated Fully Modified and Continuously Updated Bias Corrected estimators along with the Dumitrescu Hurlin causality method are utilized to scrutinize the nature of the linkage between the modeled variables. The long-run estimation provided that consumption of renewable energy and environmental quality augment economic growth in high-income nations, while both these variables do not contribute to the economic growth in low-income countries. Financial development upsurges economic growth in high- as well as low-income nations. Interestingly, trade openness boosts economic growth in high-income countries, while in low-income countries, it obstructs economic growth. In causal linkage, the conservation hypothesis for low-income countries and the feedback hypothesis for high-income countries are confirmed in the context of consumption of renewable energy and economic growth association. The supply-leading hypothesis for low-income countries and the feedback hypothesis for high-income countries are supported regarding the financial development-economic growth nexus. Moreover, one-way causality from growth to environmental quality and bidirectional causality between environmental quality and economic growth for low- and high-income countries are established, respectively. Lastly, exhaustive environmental and economic policies are directed.

Рост потребления и неэффективного использования электросетей, колебания тенденций спроса и предложения, отсутствие критической аналитики для успешного управления – вот лишь некоторые из проблем, с которыми в настоящее время сталкиваются энергетические предприятия во всем мире. Оценка возможностей технологий искусственного интеллекта и машинного обучения для содействия расширению производства энергии в развивающихся странах является одной из целей данного исследования. Эти проблемы становятся общепринятыми из-за роста несанкционированных подключений к электросети и того факта, что большое количество энергии не учитывается и не оплачивается. Решение проблем, возникающих из-за частых отключений электроэнергии и повсеместного отсутствия доступа к электроэнергии во многих развивающихся странах, является одним из ключевых факторов требующих особого внимания. Результаты показывают, что искусственный интеллект и машинное обучение вносят значительный вклад в области прогнозного обслуживания турбин, оптимизации энергопотребления, управления сетями, прогнозирования цен на энергию, а также оценки спроса на энергию и эффективность строительства домов нового поколения. В исследовании также рассматриваются вопросы о том, что необходимо сделать для того, чтобы развивающиеся страны смогли использовать искусственный интеллект и машинное обучение в энергетическом секторе. The growth of consumption and inefficient use of power grids, fluctuations in supply and demand trends, the lack of critical analytics for successful management are just some of the problems that energy companies around the world are currently facing. Evaluating the capabilities of artificial intelligence (AI) and machine learning (ML) technologies to promote the expansion of energy production in developing countries is one of the goals of this study. These problems are becoming common due to the growth of unauthorized connections to the power grid and the fact that a large amount of energy is not taken into account and is not paid for. Addressing the problems arising from frequent power outages and widespread lack of access to electricity in many developing countries is one of the key factors requiring special attention. The results show that AI and ML make a significant contribution in the field of predictive maintenance of turbines, optimization of energy consumption, network management, forecasting energy prices, as well as assessing energy demand and the efficiency of the construction of new generation homes. The study also examines what needs to be done in order for developing countries to be able to use artificial intelligence and machine learning in the energy sector. Экономика и предпринимательство, Выпуск 3 (152) 2023, Pages 147-150

Abstract The article discusses the formulation and solution of scientific, theoretical, and practical problems in the field of land reclamation of irrigated lands in general and, in particular, the protection of land reclamation facilities and the territory of cities and settlements from the effects of groundwater. In the Aral Sea basin, due to the intensive commissioning of new irrigated areas and various types of hydraulic structures (reservoir, village storage, canals, etc.), on a large scale, there is a violation of the natural laws of the regime and balance of groundwater. As a result of the hydrotechnical impact on water resources, the usual “losses” affecting the water balance and runoff, in the initial stage of their formation, cause processes such as flooding and flooding of adjacent territories, excessive wetting of non-irrigated lands and worsen the operation of reclamation projects. The open collector-drainage network existing around the land reclamation projects and cities does not provide a normal outflow of groundwater; its maintenance into a working and sanitary state requires large capital expenditures. High groundwater level with high salinity leads to the destruction of the basement of buildings and structures, the complete flooding of groundwater communications, the death of green spaces. According to some available data, losses incurred from exposure to aggressive groundwater in a number of cities in Uzbekistan range from 2.5 to 10 million dollars. The objects of reclamation control are established depending on the main factor determining the reclamation state of irrigated lands, on the degree of their natural drained. Essential criteria for determining the relationship of groundwater with soil – soils and their influence on the reclamation state of irrigated lands are the depth of groundwater table and the degree of mineralization, as well as their seasonal and long-term regime. The presented dissertation is devoted to the study of this insufficiently solved problem. Scientific and technical solutions to this problem are considered on the example of the built-up areas of irrigated areas of the Republic of Uzbekistan, where there are problems of engineering protection from the negative effects of groundwater.

Renewable energy sources are becoming increasingly popular since they are less expensive and more effective than conventional energy sources. New green energy technologies, such as wind energy, are mostly used in emerging regions to provide a sustainable and clean environment. This study investigates the effect of wind-based renewable energy consumption for environmental sustainability in top-10 wind energy consumer countries of European Union for the years 1991 to 2018. Ecological footprint is utilized as a proxy for the environmental sustainability. Most past studies have relied on panel data methods to produce common outcomes on the wind energy-clean environment nexus by overlooking the individual country-based evidences. On the other hand, this study adopts a unique method known as "Quantile-on-Quantile (QQ)", which can assess the time-series dependency in each country separately in order to provide global yet country-specific proof for the relationship between the variables. The empirical findings show that wind-based renewable energy consumption is a main cause of reducing ecological footprint at different quantiles of the data distribution in 8 out of 10 selected countries. The degree of the asymmetric relation, however, differs by country, needing specific awareness and attention on the part of the authorities when formulating the policies relating to wind energy and environmental sustainability. (C) 2022 Elsevier Ltd. All rights reserved.