The scientific article analyzes the dynamics of textile industry production in the USSR and the Russian Federation from 1985 to 2022 years.The article provides a fairly complete overview of modern methods of forecasting the development of objects, mainly based on time series analysis, including issues of forecasting cyclic and discontinuous processes, forecasting multidimensional objects with a correlated system of indicators. Authors calculate the forecast until 2026 year based on a bank of mathematical forecasting models implementing various monotonic nonlinear transformations both along the ordinate axis and along the abscissa axis. The criterion of the minimum variance of the forecast error was used as a criterion for selecting a specific model from the bank. The scientific value of the article lies in the fact that, for the first time, it offers a criterion for choosing a mathematical model from a set of them, which uses the minimum estimate of the variance of forecast errors for this model. This work can be considered a step towards the creation of artificial intelligence since the selection of the optimal model for a specific time series allows to obtain a training sample for it, which is fundamentally impossible to obtain without it.
This paper presents a methodology for fast-track documentation of landscape alterations before and after natural hazards, specifically focusing on the impacts of storms Daniel and Elias (2023) in Northern Euboea, Greece, which flooded larger areas than the storm Zorbas (2018). This happened because the plane trees had been affected by the disease Ceratocystis platani and had dried up, and the forest had burned. Therefore, the water moved faster, and in recent storms, the riverbed widened. This research aims to capture the transformed landscape rapidly by utilizing modern mapping technologies, including Google Earth, digital terrain models and drone-based photogrammetry. The methodology involves on-site inspections and the creation of three-dimensional models to document and analyze the affected areas. This approach facilitates a more comprehensive understanding of how the landscape can dynamically change due to a natural disaster. It highlights the importance of the on-site landscape inspection with sophisticated tools based on commercial equipment and open-source software.
This manuscript describes the research path when extending a maturity model. The initial model—ManuMaturity—was for manufacturing companies aiming beyond Industry 4.0. The extended OSME model covers data sharing within a supply chain, an open innovation ecosystem and sustainable manufacturing. The OSME maturity model has five maturity levels: traditional factory, modern factory, agile factory, agile cognitive factory and agile cognitive industry and seven dimensions (such as infrastructure, data, customer, business model, employee, sustainability and processes). The tool was experimented with in manufacturing companies on two occasions: with a set of manufacturing companies and a group of companies. In both cases, feedback was gathered from the respondents. The article follows the maturity assessment development phases such as scope, design, populate, test, deploy and maintain, and reports the software implementation of the maturity tool. With the help of the developed maturity model and the tool, it was possible to make assessments in case companies, where the tool and its results were commented mostly positively. The tool can be applied in various ways. For example, a group of people can jointly submit their common understanding and have a thorough discussion or a group of company representatives submit their responses and the variation is discussed afterwards.
This study investigated the type and amount of solid waste generation from textile wet processing industries and analyzed the disposal and recycling strategies implemented for its utilization. The method involved industrial interactions with textile processing mills. Data was gathered based on a field survey of manufacturing units and their compliance management teams. The solid waste generated in textile processing stages against input raw materials and fuel sources was recorded. The challenges in recycling solid waste are identified and further scope for its valorization is suggested. The results indicate that significant solid waste produced during the wet processing of textiles arises from waste fabric cuttings, combustion of fuels used in processing stages, and sludge generated from the post-effluent treatment. Around 80% of solid waste generated during the wet processing of textiles can find applications in the construction industry. Effective management of solid waste and its potential applications in construction are elaborated in detail.
Species was one of the most controversial concepts in biological science. Not even the “New Systematics” of the 1930s and 1940s succeeded in bringing complete clarity to the issue. During the first half of the twentieth century the conceptualization of species was challenged by paleontology, a then-emerging discipline, but an ancient essentialist conception resisted, whereby each species is characterized by its own immutable essence (eidos). This simplification was transferred to physical anthropology in the study of human populations, with further cultural and political outcomes. For example: the meaning of species developed a series of biopolitical and legal implications regarding the construction of a society preserved from foreign dangerous bodies. From this perspective, the racial policy of the Third Reich established that the German national community was to be based on belonging to a same species (Art), from which Jewish population was excluded, considering it an alien species (Artfremd) and therefore incompatible. The concept of species, defined from an essentialist perspective, was in fact considered more differentiating and selective than that of “race”. Consequently, foreignness to the human species became a more radical distinguishing factor than racial classification. The article, with a focus on German academia, aims to reconstruct the debate in paleoanthropology during interwar period.
Common prosperity is an important feature of the social state that the people of the world aspire to, and an important feature of the Chinese path to modernization. Taking common prosperity as the result of income and assets does not facilitate a full understanding of people’s common prosperity, because common prosperity also includes people’s pursuit of subjective happiness such as happiness and satisfaction. From the perspective of the need for a better life in China, this study constructs a subjective evaluation system of the common prosperity of urban residents, including 5 dimensions and 25 specific indicators. It uses survey data from 460 participants and applies the graded response models to estimate parameters and predict latent variables. We find that 21 indicators are in line with the reasonable range of basic assumptions and parameters. They have a strong ability to distinguish the common prosperity of residents in different regions, but have different functional characteristics. The confirmatory factor analysis shows that the common prosperity index of residents includes four potential factors: income, education, medical care, and old-age care, and ecology, which has a good structural effect. In terms of weight, education, medical care and old-age care are the most important factors influencing common prosperity. Among them, the classification policy of high school entrance examination, the quality and fairness of primary and secondary education, the degree of medical insurance security, and the waste sorting and community security are important aspects of evaluating the Common prosperity of residents.
The objective of this study is to investigate and analyze the effect of varying sources of energy inputs and their impact on carbon emissions during wool fiber processing. The method involved industrial visits to the textile wool processing mill and interaction with the manufacturing as well as commercial sourcing teams to gather relevant data. The results and outcome of this analysis indicate that wool wet processing is responsible for a significant carbon emission of about 0.031 tCO2e/unit of production. Coal as a source of energy has the highest carbon emission 0.066 tCO2e/product, while the use of biomass and Pressurized Natural Gas (PNG) had significantly lower CO2 emissions. Further, this study evaluated the scope 1 and scope 2 category emissions produced at the wool processing stage which accounted for 56303.2 tCO2e and 1817.10 tCO2e respectively.
The cultivation of topinambur (Helianthus tuberosus) has aroused the interest of producers since it is a source of inulin and can be used for biofuel production. During tuber processing, the aerial part of the crop remains as a by-product with no practical application. This work aimed to characterize the fibers obtained from the aerial part of topinambur and to evaluate their reinforcing potential in cassava starch-based films. Starch-based films with topinambur fiber (0, 5, and 10%) were prepared by extrusion followed by thermocompression. Topinambur residue contains 88.6% of total fiber, 8.5% ash, and 0.68% lipid. Mechanical film properties evidenced the reinforcement action of topinambur fiber, 10% content was able to increase up to 70% the Young’s modulus. SEM micrographs evidenced the good fiber-matrix interaction. UV-visible capacity, opacity, and chromaticity parameters of TPS films increased with fiber content in the formulation. Fiber incorporation improved the hydrophobicity of the biocomposite materials by increasing the contact angle. Starch-based films biodegraded more than 55% after 110 days, showing a similar trend to that of microcrystalline cellulose. Thus, topinambur residue can be effectively used as a reinforcing agent for TPS materials, being an innovative and non-toxic additive within the circular economy premises.
The occupation of the Amazon is driven by capitalist production, impacting climate change discussions. Despite constitutional protections since 1934, the influx of non-Indigenous settlers, particularly miners, led to significant conflicts. The Yanomami sought international recourse through the Inter-American Commission on Human Rights (IACHR). In the context of redemocratization, the 1988 Constitution marked a shift, reinforcing Indigenous rights and environmental protection. Brazil’s role in protecting the rainforest intersects with global climate efforts, including the REDD+ mechanism. The creation of the Amazon Fund in 2008, aligned with REDD+ initiatives, involved international cooperation and local governance, leading to a substantial decline in Amazon deforestation between 2004 and 2012. However, exploitative practices endorsed by the State pose threats to environmental and human rights, notably affecting indigenous communities. Amid Brazil’s democracy crisis, deforestation surged in the Amazon from 2013–2022 and the Yanomami face conflicts fueled by State support for non-Indigenous groups. The Yanomami sought international recourse through the IACHR and the Inter-American Court of Human Rights. These issues are intensified by an ideological bias, linked to authoritarian populism rooted in the legacy of the Dictatorship. Recent initiatives aim to enhance environmental and human rights protection. However, political instability poses challenges for the future.