Medicinal herbs have been extensively utilized in the remediation of various health conditions. Dialium guineense fruit pulp, also well known as Velvet Tamarind is widely consumed in West Africa for its dietary and medicinal properties. The study aims to analyze the phytochemical constituents, vitamin content and the in vitro antioxidant effect of Dialium guineense fruit pulp (DGFP). The phytochemical constituents, vitamins (C, E, B1-12) composition, and in vitro antioxidant activity were examined utilizing standardized analytical methods. The qualitative and quantitative phytochemical screening of the fruit pulp of Dialium guineense was also carried out; the result indicated the presence of flavonoids, alkaloids, saponins, tannins, terpenoids, phenols, steroids, and cardiac glycosides in varying concentrations. The vitamin composition revealed that vitamin C was higher than other vitamins in the fruit pulp. The DPPH (2,2-diphenyl-1-picrylhydrazyl) and nitric oxide scavenging assay showed high radical scavenging activity while the FRAP (Ferric reducing antioxidant power) assay revealed significant reducing power. This indicates that Dialium guineense fruit pulp has potential health benefits.

Developing “New Quality Productive Forces” (NQPFs) has been accepted as a new theory to accelerate the high-quality development in China. In current, China’s high-quality development mainly relies on the traction of the digital economy. In view of this, developing NQPFs in China’s digital economy sector requires locate and remove some obstacles, such as the insufficient utilization of data, inadequate algorithm regulation, the mismatched supply and demand of regional computing power and the immature market environment. As a solution, it is necessary to allocating data property rights in a market-oriented way, establishing a user-centered algorithm governance system, accelerating the establishment of the national integrated computing network, and maintaining fair competition to optimize the market environment.

In recent years, the environment in the manufacturing industry has become strongly competitive, which is why companies have found it necessary to constantly adjust their strategies and take actions aimed at improving their performance and competitiveness in a sustainable way to grow and remain in the market. Therefore, this paper aims to present an analysis to explain the current situation in the manufacturing industry in Aguascalientes, Mexico, by means of a survey in which product eco-innovation (PEI), process eco-innovation (PrEI) and organizational eco-innovation (OEI) and its effect on environmental performance (EP) and sustainable competitive performance (SCP) were measured. The results show that (EP) is positively and significantly influenced by (PEI) and (PrEI), while no significant influence is found for (OE). Furthermore, it is confirmed that environmental performance positively and significantly influences (SCP). The findings obtained from this study point to the relevance of promoting eco-innovation activities in the manufacturing sector, as this will ensure sustainable competitiveness.

The article examines the modern vectors of implementation of measures to achieve results in the field of Sustainable Development Goals (SDGs), both at the level of national priorities and at the level of Central Asian countries. The purpose of this study is a multidimensional analysis of actions that make it possible to develop solutions to stabilize the environmental situation in Central Asian countries based on global international trends. The scientific novelty of the research lies in the integrated use of thematic modeling methods, as well as sociological surveys used to improve the efficiency of business processes in the field of environmental protection. The methodological basis for conducting a comparative assessment of the impact of environmental policy instruments used on regional development is the concept of sustainable development. In conclusion, conclusions are drawn about the need to develop effective mechanisms for the implementation of environmental policy in the studied countries.

Segregating the scavenging processes from the lubrication methodology is a very effective way of improving two-stroke cycle engine durability. The application of stepped or twin diameter pistons is one such method that has repeatedly shown significantly greater durability over comparable crankcase scavenged engines together with an ability to operate on neat fuel without any added oil. This research study presents the initial results observed from a gasoline/indolene fuelled stepped piston engine ultimately intended for Hybrid Electric Vehicle and/or Range Extender Electric Vehicle application using hydrogen fuelling. Hydrogen fuelling offers the potential to significantly reduce emissions, with near zero emission operation possible, and overcoming the serious issues of range anxiety in modern transport solutions. The low environmental impact is discussed along with results from 1-d Computational Fluid Dynamic modelling. The engine type is a low-cost solution countering the financial challenges of powertrain duplication evident with Hybrid Electric and Range Extender Electric Vehicles.

Unmanned Aerial Vehicles (UAVs) have gained spotlighted attention in the recent past and has experienced exponential advancements. This research focuses on UAV-based data acquisition and processing to generate highly accurate outputs pertaining to orthomosaic imagery, elevation, surface and terrain models. The study addresses the challenges inherent in the generation and analysis of orthomosaic images, particularly the critical need for correction and enhancement to ensure precise application in fields like detailed mapping and continuous monitoring. To achieve superior image quality and precision, the study applies advanced image processing techniques encompassing Fuzzy Logic and edge-detection techniques. The study emphasizes on the necessity of an approach for countering the loss of information while mapping the UAV deliverables. By offering insights into both the challenges and solutions related to orthomosaic image processing, this research lays the groundwork for future applications that promise to further increase the efficiency and effectiveness of UAV-based methods in geomatics, as well as in broader fields such as engineering and environmental management.