Comprehensive Environment Research Articles

The Impact of Dialectical Studies on the Description of the Morphological Structures


 
 
 
 Dialect constitutes an ecosystem in all languages that is by nature part of a broader and comprehensive environment that includes several dialects, each of which has its own distinct characteristics, and all of them are linked by a group of linguistic phenomena that facilitate the communication of members of these environments with each other and the understanding of what may take place from speech. It is the term Its name ((language)) is the relationship between language and dialect is the relationship between the general and the specific, as it has been proven, and in light of the above, the research has dealt with an original scientific view of issues presented in the course of the research, including:
 The view of Arab scholars to different forms of dialects.
 
 
 
 
 we can say that the interest in the dialectic lesson on the part of the Arabs stands the auditor’s position at the beginning of the study of modern dialects that appeared at the hands of the Orientalists who came to the Arab world to research its conditions and culture, and most of these studies were modest based on collecting the material and studying it in a traditional way.

Quality management of the newborn screening network: the Chinese experience.

Quality management of the newborn screening network: the Chinese experience.

PRN SABAH 2020: TINJAUAN TERHADAP SENTIMEN PEMBANGUNAN

The 16th Sabah State Assembly took place after the Sabah State Assembly was dissolved on 30 July 2020 and the polling day was set by the EC on 26 September 2020 with 73 state seats contested. Generally, the GeOPES research panel will analyze the findings of studies conducted before, during and after the 16th Sabah PRN. Undeniably, the 16th Sabah PRN has shown interesting political and electoral dynamics in Sabah to study and explore; especially from the aspect of political development, central-state relations, media and political communication, as well as primordial sentiment. In addition, electoral issues are also interesting and have been highlighted by political parties or candidates in the Sabah PRN this time such as development issues, Sabah rights issues, subsistence/poverty issues, local issues as well as national issues as capital to win the support of voters. In the context of media and elections, for example, the medium used to deliver campaign materials, express issues to voters and promote manifesto is usually through mass media (electronics and print), cyber media, talks and posters. Generally, the objective of this panel session was to analyze the political dynamics that color the Sabah PRN 2020, as well as to see the influence or sentiment on the election issues. The research methodology carried out by GeOPES is to combine qualitative and quantitative methods. The data observed and analyzed through a combination of the two (2) methods scientifically can help us to understand the nature and form of Sabah's political dynamics in a more comprehensive Malaysian political environment. Thus, the findings of the 2020 Sabah PRN study by GeOPES can either be symbiosis or antagonist, understanding the political development of Malaysia ahead of the Sarawak PRN as well as the 15th general election.

Selection of the Most Appropriate Sustainable Buildings Assessment Categories and Criteria for Developing Countries: Case of Ethiopia

Sustainable buildings can save 36% of total energy use, 65% of electricity consumption, 30% of greenhouse gas emissions, 30% of raw materials use, 30% of waste output, and 12% of potable water consumption. Several sustainable building assessment tools were used by both developed and developing countries. However, Ethiopia’s buildings were not critically assessed and evaluated from a sustainability point of view because there was no such type of study conducted so far. This paper aims to explore the most significant and widely used tools as well as the basis for other sustainable building assessment tools, such as Building Research Establishment Environmental Assessment Methodology (BREEAM), Leadership in Energy and Environmental Design (LEED), Comprehensive Assessment System for Built Environment Efficiency (CASBEE), Sustainable Building Tool (SBTool), Comprehensive Environmental Performance Assessment Scheme (CEPAS), Deutsche Gesellschaft für Nachhaltiges Bauen (DGNB), and Green Mark and Green Star. The methodology employed is the selection of the 10 most commonly and widely utilized sustainable building assessment tools (SBATs) from the 57 SBATs based on desk review and document analysis. The results of the study identified that all 10 SBATs have their own assessment categories and criteria based on many factors, such as climatic conditions and availability of resources, plus methods employing demographic dynamics and legal aspects of the sector for assessing the sustainable/green buildings. It distinguishes the most commonly and repeatedly used assessment categories and criteria and uses a consensus-based approach with experts in the building sectors, a four-quadrant model, and a circular and helical flow model, to develop a new sustainable building assessment tool suitable for Ethiopia.

Software Package to Support Students’ Research Activities in the Hybrid Intellectual Environment of Mathematics Teaching

The urgent need of society for creative and critical thinkers dictates the need to manage and develop the project-based and research activities of schoolchildren. Neural networks, as effective tools for solving complex, multi-component, multifunctional problems, have created an opportunity to develop tools for the content and quality assessment of project-based, research activities and personal achievements of each student with a dynamic and stratified sampling of complex knowledge, to identify individual educational paths, tools and instructions for research and creative activity reflected on the layers of an artificial neural network. The purpose of this study is to define and develop the concept of supporting a hybrid intelligent system of project-based and research activities in a comprehensive information and educational environment to create an applied intellectual technology that supports project-based and research activities and classifies the growth of schoolchildren’s scientific potential. The paper considers the development of technologies for the pedagogical, algorithmic and information organization of ontological engineering and support models for project-based and research activities, as well as the growth of scientific student training based on the construction of an artificial neural network with a teacher and an array of training samples using expert systems and decision theory. It also defines the selection criteria, hierarchies and content of the generalized constructs of complex knowledge (modern achievements in science) by modeling creative activities while further predicting the growth of a student’s scientific potential based on the layers of the neural network. The original technology of training samples used for constructing hybrid neural networks was determined using expert systems, the psychological method of parallel slices and clustering of the personal characteristics of schoolchildren. An innovative intellectual environment is being introduced into the practice of mathematical education in high schools in Russia. The study made it possible to create applied intelligent technology to support and display the dynamic profiles of the project-based and research activities of schoolchildren and act as a growth classifier of their scientific potential. In terms of concept implementation, the phased growth technology to analyze students’ scientific potential was developed during the study of the generalized construct of complex knowledge. Individual educational workshops for school students to master project-based and research activities and display their dynamic profiles during the implementation of a hybrid intellectual environment for support and decision-making will allow school students to develop their personal potential, increase their educational motivation and allow researchers and educators to realize the potential of adapting modern achievements in science to school mathematics and create conditions for the modernization of educational programs in a developing digital environment.

LISA-T part three: The design and space environments testing of a thin-film power generation and communication array

This paper describes the design and space environments testing of a power generation and commutation array referred to as the Lightweight Integrated Solar Array and AnTenna (LISA-T). LISA-T is the first fully thin-film array for small spacecraft. Inherently, small spacecraft are extremely resource limited. Restricted mass, volume, and surface area choke capability. This drives the need to do more from less, especially for power generation and communications. Herein, a solution, LISA-T, is presented. LISA-T is formed by coupling recent advancements in thin-film solar cell and antenna elements with new solar sail propulsion technologies. Cell and antenna elements are directly embedded into a solar sail-based polyimide substrate and coated with a protective thin-film top layer. The elements are electrically interconnected via welded ribbon and backed by a multifunctional structural deployment system. Both power generation and antenna emission have been achieved from this array. Benchtop deployments have also been successfully completed. A comprehensive space environments test campaign, including ascent vent, thermal deployments, thermal cycling, particulate radiation, ultraviolet radiation, and atomic oxygen, has been conducted to characterize and predict the array performance and survivability in space. The array is shown to be currently suitable for space missions with a >300% improvement in power performance metrics compared to state-of-the-art arrays.

Relationship between Parents’ Beliefs in Early Mathematics and Learning Environment Provision at Home

Mastering early mathematics is crucial for young children's development and future, and parents' beliefs in early mathematics development and learning environment provision at home have been identified as factors that affect children's mathematical mastery. This cross-sectional survey study was conducted to examine the relationship between the level of parents' beliefs in early mathematics and learning environment provision at home. Two adapted structured questionnaires were used for data collection, namely, parents’ beliefs in early mathematics, and learning environment provision at home. The questionnaire was distributed online using the Google form platform and a total of 478 respondents completed it. Later, data were analyzed using the Statistical Program Package for Social Science through inferential statistics (Pearson's correlation coefficient test). Findings indicated that there was a weak, significant, positive relationship between the level of parents' beliefs in early mathematics and learning environment provision at home. These findings proved that parents’ belief in early mathematics was positively associated with provision of a learning environment at home. The increase in the level of parents’ belief in early mathematics is associated with increases in the learning environment provision at home. Therefore, support programs or workshops can be provided to parents to increase their knowledge of how to provide an appropriate, comprehensive and effective learning environment at home. These efforts, in turn, may help children to do well in mathematics.

Has green finance improved China's ecological and livable environment?

Green finance can promote economic transformation and technological innovation and play a key role in solving the ecological environment and energy crisis. This paper constructs a comprehensive ecological livable environment evaluation system based on the provincial panel data in China from 2011 to 2019. At the same time, the panel mediation effect and spatial econometric model are used to test the impact of green finance on the ecological and livable environment. The main research conclusions include the following: (1) green finance has significantly improved China's ecological and livable environment; (2) green finance improves the ecological and livable environment by improving the level of technological innovation; (3) the impact of green finance on the ecological livable environment has regional heterogeneity, and green finance in the central provinces has a better effect on the improvement of the ecological livable environment; and (4) the ecological livable environment among Chinese provinces has a significant positive spatial correlation. Among them, green finance has significantly improved the local ecological livable environment but reduced the ecological livable environment of surrounding provinces. Based on the above conclusions, this paper suggests that the government should pay more attention to green finance and technological innovation and coordinate the development of the ecological livable environment among provinces. The research results provide empirical evidence for better developing green finance and improving the ecological livable environment and also provide certain theoretical guidance for China's coordinated regional development and high-quality economic development.

Load Prediction Algorithm Applied with Indoor Environment Sensing in University Buildings

Recently, building automation system (BAS) and building energy management system (BEMS) technologies have been applied to efficiently reduce the energy consumption of buildings. In addition, studies on utilizing large quantities of building data have been actively conducted using artificial intelligence and machine learning. However, the high cost and installation difficulties limit the use of measuring devices to sense the indoor environment of all buildings. Therefore, this study developed a comprehensive indoor environment sensor module with relatively inexpensive sensors to measure the indoor environment of a university building. In addition, an algorithm for predicting the load in real time through machine learning based on indoor environment measurement is proposed. When the reliability of the algorithm for predicting the number of occupants and load according to the indoor CO2 concentration was quantitatively assessed, the mean squared error (MSE), root mean square deviation (RMSD), and mean absolute error (MAE) were calculated to be 23.1, 4.8, and 2.5, respectively, indicating the high accuracy of the algorithm. Since the sensor used in this study is economical and can be easily applied to existing buildings, it is expected to be favorable for the dissemination of load prediction technology.

Capital market efficiency in transitioning Southeastern European countries

Purpose: This paper is a continuation of research in the series that examines the weak form of the efficient capital markets theorem in Southeast European transitioning economies. Model modifications are based on learnings through the previously established inapplicability of foreign exchange metrics. At the same time, the model is being expanded by incorporating new research markets, extending the time coverage to the longest duration to date, between 2005 and 2021, to cover economic bust and recovery periods and research inherent improvements in the capital market context, and adding new variables to provide more sturdiness and conclusiveness. Methodology: The paper applies the panel pooled mean group estimator by aggregating cross-country data. By using level series prime data instead of differentials, this method enables efficient use of information and resolves at best the identified market shallowness. Results: The statistical results of empirical research infer the inefficiency of the investigated markets with greater robustness and supplementary new information revealing more powerful corrective investor and policy behavior in collectively more mature markets. Conclusions: The findings firmly reiterate subpar capital markets performance in a prolonged and more comprehensive environment. The recommendations conclusively emphasize the importance of structural reforms to support sustainability through elementary setup drivers, such as transparency, governance, judiciary productivity, and policy support, inter alia.

Assessment of overhead environments on pedestrian thermal comfort in a dense urban district

Outdoor thermal comfort in urban environmental settings is often investigated at a small scale, e.g., in street canyons. Yet, pedestrian thermal comfort in a district is scarcely assessed, especially in terms of the comprehensive overhead environments such as sky openness, green coverage, and sun exposure. This study provides a systematic methodology to quantify the district-scale pedestrian thermal comfort performance considering overhead environments. Mobile transects were designed for data collection during peak hot hours within a medium-scale district. A portable weather station was used to measure outdoor thermal environments and a fisheye lens was to capture hemispherical images of overhead environments. A universal thermal comfort index, Physiological Equivalent Temperature (PET), was subsequently calculated with the collected thermal environment data. Meanwhile, hemispherical images were segmented into areas of visible sky, overhead greenery, and sun, which were further weighed into corresponding view factors. Eventually, a multiple regression model was developed between PET and view factors together with meteorological variables. The results showed that a decrease in the sky view factor of 0.17 or an increase in the green view factor of 0.21 could reduce PET by 0.5°C. The findings scientifically support resilient urban planning in greening and cooling urban dense spaces for comfortable and liveable environments.

A Brief Review on Voice Assisted Hands-free Virtual Painting System

This study employs various Human-Computer Interaction methods to introduce an innovative system that empowers individuals with diverse abilities to use computers in novel ways. It combines gesture-based virtual mouse control and painting, along with eye and voice integration. Advanced eye-tracking technology to accurately detect and interpret ocular movements is incorporated. These movements are then mapped to specific on-screen actions, facilitated by the computer webcam. Simultaneously, hand gesture-based mouse control is also available, where it captures and analyzes intricate hand motions, translating them into precise on-screen commands. The hand tracking painting feature revolutionizes by providing users with a virtual canvas. Through hand movements, users can write and draw with ease with various tools, expanding the potential for interactive creativity. Easy switching between the traditional mouse, virtual mouse, and gesture-based painting modes are controlled by a voice assistant. This integration provides a comprehensive and adaptable digital environment, enhancing user convenience and mobility. This method seamlessly integrates of cutting-edge technologies, culminating in the creation of an inclusive and exceptionally intuitive user experience.

The influence of news on ideological and political education

This article discusses the important role of news media in conveying the will of the party and the people, as well as in guiding public opinion and shaping people's values. In the field of ideological and political education, news media has a significant impact on students' overall growth and development. The article also introduces a book by Zou Hui, which explores the use of new media in the field of ideological and political education and provides innovative methods for improving the quality of education. The article concludes by emphasizing the importance of a comprehensive and systemic environment for ideological and political education, including the role of news media in providing educational resources and helping students understand various aspects of society, politics, and culture.

Coupling of regulated deficit irrigation at maturity stage and moderate fertilization to improve soil quality, mango yield and water-fertilizer use efficiency

• Underground continuous fertigation was applied to mango cultivation in the dry-hot region. • Regulated deficit irrigation could increase soil nutrient content, but reduce soil enzyme activity and microbial quantity. • Regulated deficit irrigation at maturity stage and medium fertilization increased mango yield by improving soil quality. Reasonable irrigation and fertilization practices can not only improve soil quality, but also increase crop yield, and water-fertilizer use efficiency. However, it is still unclear that the micro-irrigation and fertilization mode is conducive to improving the soil comprehensive environment, the mango yield and water-fertilizer use efficiency in the dry-hot region. The effects of regulated deficit irrigation (RDI) and fertilization levels on soil enzyme activity, soil microbial quantity, soil nutrient content, yield, water use efficiency (WUE) and partial fertilizer productivity (PFP) of mango in dry-hot region were studied. A randomized block design study with four irrigation levels [full irrigation throughout the growth period (FI), RDI during flowering (RDI FS ), RDI during fruit expansion (RDI ES ), and RDI at maturity (RDI MS )] and three fertilization levels [F H , a water-soluble compound fertilizer (N:P 2 O 5 :K 2 O = 12:8:40) applied at 129.0 kg ha −1 ; F M , 103.2 kg ha −1 ; and F L , 77.4 kg ha −1 ] was implemented in 2018 and 2019. The results showed that RDI reduced soil enzyme and microbial quantity, but increased nutrient content. With the decrease of fertilizer application rate, soil nitrate nitrogen, available phosphorus, available potassium content, urease, fungi and actinomycetes quantity decreased, while soil catalase, phosphatase activity and bacteria quantity increased first and then decreased. RDI reduced soil quality comprehensive index (SQI), and SQI decreased with the reduction of fertilization. Compared with FI, RDI FS and RDI ES reduced mango yield and PFP, RDI FS reduced WUE, while RDI MS increased WUE and PFP. Compared with F H , F M increased mango yield, WUE and PFP, F L increased PFP. The yield, single fruit weight and PFP increased first and then decreased with the increase of SQI at different growth stages. RDI MS F M obtained the maximum mango yield and WUE. Thus, the treatment of regulated deficit irrigation at maturity stage and moderate fertilization (103.2 kg ha −1 ) was the suitable mode of water and fertilizer management for mango, which could realize water-saving and high yield of mango simultaneously in the dry-hot region of Southwest China.

Experimenting with Agent-Based Model Simulation Tools

Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on the individual level (i.e., micro-level) leads to the understanding of emergent phenomena on the system level (i.e., macro-level). ABMs represent an interdisciplinary approach to examining complex systems, and the heterogeneous background of ABM users demands comprehensive, easy-to-use, and efficient environments to develop ABM simulations. Currently, many tools, frameworks, and libraries exist, each with its characteristics and objectives. This article aims to guide newcomers in the jungle of ABM tools toward choosing the right tool for their skills and needs. This work proposes a thorough overview of open-source general-purpose ABM tools and offers a comparison from a two-fold perspective. We first describe an off-the-shelf evaluation by considering each ABM tool’s features, ease of use, and efficiency according to its authors. Then, we provide a hands-on evaluation of some ABM tools by judging the effort required in developing and running four ABM models and the obtained performance.

Rice flowering improves the muscle nutrient, intestinal microbiota diversity, and liver metabolism profiles of tilapia (Oreochromis niloticus) in rice-fish symbiosis

BackgroundRice-fish symbiosis, as an ecological and green aquaculture model, is an effective measure to relieve the environmental stress from intensive aquaculture. Compared with traditional aquaculture, the altered rearing pattern and environment will make differences in muscle nutrient and quality, intestinal microbiota, body metabolism, and even disease resistance in fish.ResultsTo investigate this, we explored the differences between rice-tilapia (aRT and bRT) and tank-tilapia (aTT and bTT) models at the periods before and after rice flowering using 16S rRNA sequencing and untargeted metabolomics. The results showed that compared with tilapia reared in the tank model, the fish body length and weight, the muscle total umami amino acid, and monounsaturated fatty acid content were obviously higher in the rice-fish model, especially after rice flowering. Compared with other groups, the intestinal microbiota diversity of fish in the bRT group was significantly higher; the dominant microbiota was Bacteroidetes and Firmicutes at the phylum level, Bacteroides and Turicibacter at the genus level, and the relative abundances of Gram-negative, potentially pathogenic, and stress-tolerant bacteria were the highest, lowest, and highest, respectively. Besides, the differential metabolite analysis indicated that rice-fish symbiosis improved the metabolic profiles and modulated the metabolic pathways in tilapia. Moreover, the correlation analysis of 16S sequencing and metabolomics showed that Bacteroides showed a positive correlation with many metabolites related to amino acid, fatty acid, and lipid metabolism.2e2Pq8QQo51bRYuGfijeGGVideo ConclusionsIn summary, rice flowering improves the tilapia muscle nutrient, intestinal microbiota diversity, and disease resistance and modulates the host metabolism to acclimatize the comprehensive environment in rice-fish symbiosis. Specifically, rice flowering alters the microbiota abundance involved in amino acid, fatty acid, and lipid metabolism, resulting in improving the muscle nutrient and quality through the crosstalk of gut microbial and host metabolism. Our study will provide not only new insight into the gut microbiota-metabolism-phenotype axis, but also strong support for the promotion and application of rice-fish symbiosis in aquaculture.

A LITERATURE REVIEW OF TELEMEDICINE IN INDONESIA: PAST, PRESENT, AND FUTURE PROSPECTIVE

Background: Indonesia has a great potential in the development of digital health technologies. However, several challenges might also arise in hand with the development of telemedicine. Aims: We aimed to conduct a literature review of the use of telemedicine in Indonesia in order to know how the start is, the development, and future considerations of its usage. Methods: From the digital databases of PubMed, Google Scholar, and Neliti (Indonesia's Research Repository), each author completed literature searches of telemedicine in Indonesia from 1985 to 2021. Results: A total of 8 studies were included in current literature review. In 1985-1987, Indonesia undertook the first satellite-based telemedicine. During the early twenty-first century, rapid improvements in information technology have expanded to other industries, including health care through telemedicine. Covid-19 dilemma compels physicians to adopt. Through telemedicine, many is experienced the benefit during the pandemic. However, in developing telemedicine system for the future, the use of telemedicine has several challenges, namely related to human resources, infrastructure and ethical regulations. Conclusion: When telehealth is successfully implemented in Indonesia, it will benefit both the developer and the consumer. Despite the benefits, the challenge of implementing and developing a comprehensive eHealth environment in Indonesia might be seen as tremendous, given that the country is currently developing its infrastructure.

Comprehensive Eco-Environment Quality Index Model with Spatiotemporal Characteristics.

Ecological environment assessment, which forms the basis for the survival and development of human society, is a crucial measure for the sustainable development of society and economy. However, current quantitative assessment models such as EI, EQI, RSEI et al. are insufficient to meet the requirements of dynamic research in large areas, long time series and dense time intervals. Therefore, in this paper, we constructed the comprehensive ecological environment quality index model SCEQI that can meet these needs by applying the remote sensing big data as the data source. The SCEQI aggregated the ecological indices NDVI, NDBSI, Lst and Wet by full-sequence dynamic dimensionless, automated principal component analysis and multi-temporal average method. In order to verify the spatial and temporal accuracy of the model, we took Henan Province as an example to compare the result of SCEQI with that of EI, EQI, RSEI and proved that SCEQI performed better in both time and space. Also, we verified the superiority of time, space, and precision of SCEQI with profiles, samples, and cluster analysis.

The influence of social support on the physical exercise behavior of college students: The mediating role of self-efficacy.

To study the influencing factors on college students' physical exercise behavior and the mediating relationship of self-efficacy based on the theory of social support and self-efficacy; to provide theoretical support and practical guidance for college students engaging independently in physical exercise. A total of 1,440 college students from six universities in the Inner Mongolia Autonomous Region of China were selected as the research objects, and three scales (Self-Efficacy Scale, Social Support Scale, and Physical Exercise Rating Scale) were used to construct a structural equation model. (1) A comprehensive sports facility environment is conducive to college students' physical activities and the emotional support of friends and family and the campus cultural atmosphere cannot be ignored. (2) Peer support has a direct impact on physical exercise behavior, family support and school support indirectly affect college students' physical exercise behavior, based on the intermediary role of self-efficacy. (3) According to the total effect, social support was ranked as school support (0.444), peer support (0.312), and family support (0.145). Social support not only directly affects physical exercise behavior but also indirectly affects physical exercise behavior based on the mediating effect of self-efficacy.

ACC lists American organizations opposing EPA's CERCLA proposal

ACC is strongly opposed to EPA's proposal to designate PFOA and PFOS as hazardous substances under Section 102(a) of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). They have told EPA, the proposal is expensive, ineffective, and unworkable. And they are not alone in their concerns: on November 29, 2022, they published the following list of quotes from organizations from a wide range of sectors across America asking EPA to reconsider.