Influence Of Environmental Variables Research Articles

Index for Assessing the Performance Level of Vehicular Traffic on Urban Streets

Vehicular transportation is one of the most widely used modes in modern cities for reaching key destinations such as workplaces, healthcare facilities, recreational areas, and educational institutions, among others. However, the performance of vehicular traffic on these roads can vary significantly due to the influence of different environmental variables. In the literature, factors such as traffic incidents, weather conditions, road infrastructure, and driving habits, among others, have been identified as impacting vehicular traffic performance. In this context, predictive models have been developed to anticipate congestion at specific points in cities based on statistics, machine learning, simulation, and complex networks. This study proposes a novel index aimed at assessing the level of performance of vehicular traffic on streets based on the relationship among relevant urban environmental variables. This index is generated through Genetic Programming, considering a set of variables related to traffic, incidents, and services. The case study will focus on the streets of the Tlalpan Municipality in Mexico City.

THE EFFECT OF COMPENSATION AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE AT D’BESTO CHICKEN & BURGER RESTO MARDANI RAYA CENTRAL JAVA

The purpose of this study was to determine the effect of compensation and work environment on employee performance at Resto D'Besto Chicken & Burger Mardani Raya Central Jakarta. The research method used in this study uses a quantitative approach. The population is 41 people. The sampling technique uses saturated samples so that the number of samples in this study is 41 respondents. The data analysis technique uses multiple regression. The results of the study show that: (1) There is a positive and significant effect of compensation variables on employee performance at Resto D'Besto Chicken & Burger Mardani Raya Central Jakarta. This is evidenced by the t count> t table value, namely 7.325> 2.024 with a probability value (significance) = 0.000, which is below 0.05. (2) There is a positive and significant effect of work environment variables on employee performance at Resto D'Besto Chicken & Burger Mardani Raya Central Jakarta. This is proven by the value of t count > t table, which is 6.304 > 2.024 with a probability value (significance) = 0.000 which is below 0.05. (3) There is a positive and significant influence of compensation and work environment variables together on employee performance at Resto D'Besto Chicken & Burger Mardani Raya Central Jakarta. This is proven by the value of F count > F table, which is 28.299 > 3.24.

Pengaruh Disiplin Pegawai, Kepemimpinan dan Lingkungan Kerja terhadap Kinerja Pegawai dengan Kepuasan Kerja sebagai Variabel Mediasi pada Kantor Kecamatan Maulafa Kota Kupang

The aim of this research is to determine the influence of leadership, work environment and job satisfaction variables on employee performance at the Maulafa District Office, and the ability of job satisfaction variables to mediate the influence of work discipline, leadership and work environment on the performance of Maulafa District Office employees. The quantitative approach used in this research, while the sample consisted of 37 employees of the Maulafa District Office. Questionnaires were used to collect data, which was then analyzed using the SmartPLS program and descriptive and inferential statistics. The research results show that work discipline, leadership, and work environment have a significant influence on employee job satisfaction. This also shows a significant influence on employee performance, with job satisfaction mediating the influence of leadership and work environment on employee performance compared to job satisfaction mediating the influence of work discipline on employee performance.

Discovery of Chemical Constituents with Anti-Atopic Dermatitis Properties from Aster koraiensis

Atopic dermatitis is an inflammatory dermatological disease characterized by persistent scratching and recurrent eczema. Due to the influence of environmental variables on the cause of this disease, there remains an ongoing interest in the development of therapeutic interventions. Previous studies have shown that various plants of the genus Aster and its derived phytochemicals possess efficacy in treating inflammatory-mediated diseases, including atopic dermatitis. Therefore, the present study investigated a potential compound with anti-atopic dermatitis properties derived from Aster koraiensis leaves, specifically targeting HaCaT keratinocyte cells. First, we isolated eleven compounds with three unknown compounds, including two polyacetylenes (1 and 3) and a benzoic acid derivative (4). The chemical structures of the isolates were elucidated by 1D and 2D NMR, specific rotation, acid hydrolysis, and quantum chemical calculations. Next, we treated an A. koraiensis extract and all isolates to HaCaT keratinocyte, followed by stimulation with TNF-α/IFN-γ. Among bioactive compounds, astersaponin J (7) exhibited a significant reduction in the levels of inflammatory cytokines associated with atopic dermatitis at a concentration of 2.5 μM. These findings suggest that chemicals obtained from an A. koraiensis 95% ethanol extract and derived compounds are potential therapeutics to help reduce the immunological response driven by atopic dermatitis.

Assessing the influence of environmental variables on energy efficiency changes in the provision of drinking water services

Within the context of the water-energy nexus in drinking water provision, it is crucial to evaluate temporal shifts in energy efficiency. Utilizing the Stochastic Nonparametric Envelopment of Data (StoNED) approach, this research estimates longitudinal variations in the energy efficiency of drinking water services integrating multiple environmental variables. The analysis, conducted in England and Wales from 2008 to 2020, indicates that the source and quality of raw water, as well as population density, influenced the energy performance of water utilities. Quantitative findings evidenced marked disparity in energy efficiency among different companies, with an average efficiency of 0.617 and a range from 0.437 to 0.944. The dynamic assessment indicates an average annual enhancement of 1.1% in the sector, predominantly propelled by technical advancements (0.9%) rather than by improvements in efficiency (0.2%). This study emphasizes the critical need for bespoke policies and incentives to boost energy efficiency and support sustainable urban water management.

Prediction and Analysis of the Global Suitable Habitat of the Oryctes rhinoceros (Linnaeus, 1758) (Coleoptera: Scarabaeidae) Based on the MaxEnt Model.

The Asiatic rhinoceros beetle, Oryctes rhinoceros (Linnaeus, 1758) (Coleoptera: Scarabaeidae), is a destructive invasive species that poses a serious threat to palms, oil palms, and other plants. Defining a suitable area for the distribution of O. rhinoceros is essential for the development of appropriate policies and preventive measures. In this work, the MaxEnt niche model and ArcGIS software were used to predict the potential geographic distribution of O. rhinoceros in the world based on occurrence data and related environmental variables and to speculate on the influence of environmental variables on the distribution of O. rhinoceros. The results showed that the suitable areas of O. rhinoceros beetle were mainly distributed in 30° N-30° S, and the highly suitable areas were concentrated in South Asia, East Asia, Southeast Asia, and northern Oceania. The key environmental variables that determine the distribution location of O. rhinoceros are Precipitation of Wettest Month (bio13), Temperature of July (tmin7), Minimum Temperature of November (tmin11), and Precipitation of September (prec9). The prediction results of the MaxEnt model can reflect the global distribution of O. rhinoceros. This study can provide a theoretical basis for the prevention and control of O. rhinoceros and the development of relevant quarantine measures.

Unraveling the influence of environmental variability and cryptic benthic assemblages on reef-scale primary production and calcification

Unraveling the influence of environmental variability and cryptic benthic assemblages on reef-scale primary production and calcification

Growth and yield of direct seeded rice as influenced by irrigation levels and varieties

The combined influence of agronomic, environmental and genetic variables results in better crop yield. Among these components, an appropriate irrigation system and varietal choice are crucial. With this background, a field experiment with a split-plot layout was planned during the summer period of 2020 at the Agriculture and Horticultural Research Station, Bhavikere, Karnataka, India, to examine the effects of four different irrigation levels (0.75, 1.00, 1.25 and 1.50 IW/CPE ratio) in the main plot and four different varieties (Local variety, Jyothi, MAS 946-1 and MAS-26) in the subplots on growth and yield performance under direct seeded rice condition. Results of the experiment revealed that among four different levels of irrigation, scheduling irrigation at 1.50 IW/CPE ratio recorded higher growth and yield parameters at harvest viz., plant height (82.76 cm), number of tillers per plant (13.29), leaf area index (2.66), total dry matter accumulation (73.36 g/plant), number of panicle per plant (10.35), panicle length (21.59 cm), number of filled grains per panicle (90.4), grain yield (5569 kg/ha) and straw yield (7514 kg/ha). While, among the varieties used for the study, MAS 946-1 recorded the higher growth and yield parameters at harvest (64.19 cm, 13.96, 2.45, 73.34 g/plant, 10.96, 21.25 cm, 84.3, 5743 kg/ha and 7288 kg/ha, respectively). Hence, scheduling irrigation at 1.50 IW/CPE ratio and use of MAS 946-1 variety demonstrated superior performance, making it most appropriate for maximising higher production under direct seeded rice condition. Bangladesh J. Bot. 53(3): 527-533, 2024 (September)

Precipitation and Soil Nitrogen as Key Drivers of Species and Phylogenetic Diversity Across Growth Forms in Picea purpurea Forests of the Eastern Qinghai–Tibet Plateau

ABSTRACTPicea purpurea forests are a fundamental part of the coniferous forests of the Qinghai–Tibet Plateau. These forests support an extremely rich diversity of organisms while providing crucial ecological functions. Despite their importance, the species and phylogenetic diversity (PD) of these forests remain understudied. The extent to which different plant growth forms in the forest are influenced by the environment varies according to differences in the evolutionary history and characteristics of these taxa. Here, we investigate the variations in all, woody, and herbaceous plant species diversity (SD) and PD in the eastern Qinghai–Tibet Plateau's Picea purpurea forests, along with the associated environmental factors influencing these patterns. Our results show that both SD and PD exhibit similar patterns across all, woody, and herbaceous plants. Notably, mean annual precipitation, total nitrogen, and altitude were identified as the primary factors accounting for the majority of variance in SD and PD within plant communities. Specifically, we found positive correlations between SD and PD with soil total nitrogen content, while negative correlations were observed with mean annual precipitation and altitude. Furthermore, we find that the influence of environmental variables on all plants was found to be more pronounced compared to woody and especially herbaceous plants in terms of both SD and PD. Environmental factors had a direct effect on SD and PD in all woody and herbaceous plants. However, the strength of these effects varied. Importantly, our results indicate that environmental factors influence SD independently of PD. Our findings suggest that precipitation and total soil nitrogen were the most influential environmental factors affecting plant diversity across different growth forms in Picea purpurea communities. However, inferring SD from PD remains a challenging task. These findings of our study will provide guidance for forest biodiversity conservation and sustainable forest management in the Qinghai–Tibet Plateau.

Evaluating the conservation benefit of circle hooks for the Atlantic Striped Bass recreational fishery

AbstractObjectiveThe Striped Bass Morone saxatilis is one of the most sought‐after recreational fish species along the US Atlantic coast. Regulations and a strong conservation ethic among anglers make Striped Bass among the most frequently released coastal marine fishes. A recent rule requires anglers to use circle hooks when targeting Striped Bass with natural baits, yet the conservation benefit of this action remains unclear.MethodsWe used acoustic telemetry to monitor the fate of Striped Bass that were recreationally caught with baited hooks (n = 349) and to estimate the influence of various biological (fish size), fishery (fight time, handling time, hook location, bait type, and hook type), and environmental (water temperature and air temperature) variables on postrelease survival.ResultA semi‐quantitative score of fish release condition was the single best predictor of mortality. A broader dataset that included untagged fish (n = 716) was used to identify the best predictors of fish release condition, which included hook location and handling time.ConclusionContrary to expectations, the circle hooks used in this study did not result in lower release mortality than conventional J‐hooks.

Exploring the role of canopy cover and environmental factors in shaping carbon storage in Desa’a forest, Ethiopia

BackgroundDry Afromontane forests play a vital role in mitigating climate change by sequestering and storing carbon, as well as reducing greenhouse gas emissions. Despite previous research highlighting the importance of carbon stocks in these ecosystems, the influence of canopy cover and environmental factors on carbon storage in dry Afromontane forests has been barely assessed. This study addresses this knowledge gap by investigating the effects of environmental factors and vegetation cover on carbon stocks in Desa’a forest, a unique and threatened Afromontane dry forest ecosystem in northern Ethiopia. Data on woody vegetation, dead litter, grass biomass, and soil samples were collected from 57 plots. A one-way analysis of variance (ANOVA) was performed at a 95% confidence level (α = 0.05) to examine the influence of canopy cover and environmental factors on the carbon stocks of various pools.ResultsAmong the 35 woody species identified, Juniperus procera was the most dominant, while Carissa edulis Vahl and Eucalyptus globulus were the least dominant. The average total carbon stock was 92.89 Mg ha−1, with contributions from aboveground carbon, below-ground carbon, litter carbon, grass carbon, and soil organic carbon. Among the carbon pools, soil organic carbon had the highest carbon stock, accounting for 76.8% of the total, followed by above-ground biomass carbon at 17.7%. Significant variations in carbon stocks were found across altitude class and canopy level but not slope and aspect factors.ConclusionsIn summary, altitude and canopy level were found to significantly influence carbon stocks in Desa’a forest, providing valuable insights for conservation and climate change mitigation efforts in dry Afromontane forests. Forest intervention planning and management strategies should consider the influence of different environmental variables and tree canopy levels.

The Influence of Family Environment, Social Media Utilization, Confidence, Motivation on Entrepreneurial Interest in Generation Z in Mataram City

In the development of the economy and the equitable distribution of income in a country, entrepreneurs have a big role in it. With the number of entrepreneurs increasing and continuing to increase, it marks that the country is a country with a developed economy. Currently, Generation Z is the largest generation so Generation Z will have an important role if their human resources are productive and competitive. This study aims to analyze the influence of family environment, social media utilization, confidence, and motivation on entrepreneurial interest in generation z. The population in this study is Generation Z in Mataram City. According to the latest data in 2022, the sample used was 100 respondents, research methods with quantitative methods, data collection techniques with questionnaires, data were processed with the help of IBM SPSS.27 test tools and the tests carried out were validity, reliability, classical assumptions, multiple linear regression analysis tests, and determination coefficients (R2). To test the hypothesis in this study, the F test (simultaneous) and the t test (partial). The results of the study showed that (1) There was a partial influence of family environment variables, social media utilization, confidence, and motivation on Generation Z's entrepreneurial interest in Mataram City (2) There was a simultaneous influence of family environment, social media utilization, confidence, and motivation on entrepreneurial interest.

Quantification of the Uncertainty in Ultrasonic Wave Speed in Concrete: Application to Temperature Monitoring with Embedded Transducers.

This article presents an overall examination of how small temperature fluctuations affect P-wave velocity (Vp) measurements and their uncertainties in concrete using embedded piezoelectric transducers. This study highlights the fabrication of custom transducers tailored for long-term concrete monitoring. Accurate and reliable estimation of ultrasonic wave velocities is challenging, since they can be impacted by multiple experimental and environmental factors. In this work, a reliable methodology incorporating correction models is introduced for the quantification of uncertainties in ultrasonic absolute and relative velocity measurements. The study identifies significant influence quantities and suggests uncertainty estimation laws, enhancing measurement accuracy. Determining the onset time of the signal is very time-consuming if the onset is picked manually. After testing various methods to pinpoint the onset time, we selected the Akaike Information Criterion (AIC) due to its ability to produce sufficiently reliable results. Then, signal correlation was used to determine the influence of temperature (20 °C to 40 °C) on Vp in different concrete samples. This technique proved effective in evaluating velocity changes, revealing a persistent velocity decrease with temperature increases for various concrete compositions. The study demonstrated the capability of ultrasonic measurements to detect small variations in the state of concrete under the influence of environmental variables like temperature, underlining the importance of incorporating all influencing factors.

Degradasi Lingkungan Terhadap Pertumbuhan Ekonomi di 5 Provinsi Pulau Jawa Tahun 2012-2021

Java Island has become the region that contributes the highest GDP in Indonesia. However, the problem of environmental quality degradation that has occurred on the island of Java for decades is still a dilemma. The aim of this study is to analyze the influence of environmental degradation variables on economic growth on the island of Java. This study took five provinces on the island of Java, namely DKI Jakarta, West Java, Central Java, DI Yogyakarta, and East Java in 2012-2021. The use of secondary data in this study comes from the Statistics Indonesia. Data analysis uses panel data regression. The findings from this study include CO2 emissions which are positively related, but not significant, to GRDP per capita. Population density is positively and significantly related to GRDP per capita. Likewise, the use of electricity consumption is positively and significantly related to GRDP per capita as a derivative of economic growth.

The Impact of Visual, Thermal, and Acoustic Environments in Urban Public Spaces in Cold Regions on the Psychological Restoration of the Elderly

Optimizing the visual, thermal, and acoustic environments of urban public spaces in severely cold regions can significantly enhance the psychological restoration of the elderly, addressing the increasing mental health demands in an aging society. Despite its importance, the mechanisms, strategies, and seasonal effects of various environmental variables on psychological restoration remain inadequately studied. This research uses Harbin as a case study, employing field surveys and tests to systematically examine the elderly’s psychological restoration across different seasons. By integrating environmental stimulus variables with a psychological restoration evaluation model, the study investigates the impact of urban public spaces on mental health. The key findings are: (1) The spring environment of urban public spaces has the most significant positive effect on psychological restoration, with an effect size of η2 = 0.360. (2) A significant correlation exists between environmental variables and psychological restoration year-round, with the panoramic green view index in winter showing the highest positive impact (correlation coefficient = 0.301, p < 0.01). (3) The influence of environmental stimulus variables on psychological restoration varies notably across seasons; the acoustic environment in spring contributes most significantly, with an R2 = 17.03%, while visual factors dominate in winter and summer. (4) Conditional probability analysis reveals the effects of various environmental variables on psychological restoration, proposing season-specific environment optimization strategies. Based on these findings, the paper presents a model for optimizing urban public space environments in severely cold regions, aiming to maximize elderly psychological restoration by tailoring environmental stimulus variables to their mental health needs.

Local environmental factors drive distributions of ecologically-contrasting mosquito species (Diptera: Culicidae)

Mosquitoes are important vectors of disease pathogens and multiple species are undergoing geographical shifts due to global changes. As such, there is a growing need for accurate distribution predictions. Ecological niche modelling (ENM) is an effective tool to assess mosquito distribution patterns and link these to underlying environmental preferences. Typically, macroclimatic variables are used as primary predictors of mosquito distributions. However, they likely undervalue local conditions and intraspecific variation in environmental preferences. This is problematic, as mosquito control takes place at the local scale. Utilising high-resolution (10 × 10 m) Maxent ENMs on the island of Bonaire as model system, we explore the influence of local environmental variables on mosquito distributions. Our results show a distinct set of environmental variables shape distribution patterns across ecologically-distinct species, with urban variables strongly associated with introduced species like Aedesaegypti and Culexquinquefasciatus, while native species show habitat preferences for either mangroves, forests, or ephemeral water habitats. These findings underscore the importance of distinct local environmental factors in shaping distributions of different mosquitoes, even on a small island. As such, these findings warrant further studies aimed at predicting high-resolution mosquito distributions, opening avenues for preventative management of vector-borne disease risks amidst ongoing global change and ecosystem degradation.

Implications of Digitalization on the Persistence of Startups

Digitalization is a transformative phenomenon catalyzing innovative paradigms and operational methodologies within the realm of business, with a pronounced impact on nascent enterprises, notably startups. The aim of this paper is to ascertain the influence of digitalization and the effects of the different sociodemographic variables, both internal and environmental, as key driving elements in the probability of a company’s success and as indicators of business persistence and growth. Taking a representative sample of entrepreneurs from the Community of Madrid, Spain, a statistical structural equation model (SEM) is built. The results show the importance that the degree of adaptation of the startup to digitization acquires in persistence, the effort to generate inter-entrepreneurship within the company, the preparation of the promoting team, their work skills, good practices, and the influence of environmental variables. This study contributes to dispelling the great uncertainty that afflicts entrepreneurs and making them understand the importance of innovation, training, and continuous updating, expansion, and renewal of knowledge and especially the value of learning about applications of new technologies, the transformation of processes within a business model, and the correct adaptation to an environment that is constantly changing.

Indirect Effects of Cattle Trampling on the Structure of Fruit-Feeding Butterfly Assemblages Inhabiting Restinga Forests in Southern Brazil

The impacts of anthropogenic activities are increasing at alarming rates, leading to biodiversity loss and the displacement of native habitats. One of the main contributors to human disturbances is livestock farming, which degrades native habitats through cattle grazing and trampling. To understand these impacts, we investigated the effects of cattle trampling on the structure and diversity of fruit-feeding butterflies in Restinga forests of southern Brazil. We addressed questions regarding the effects of cattle raising on butterfly diversity and composition, identified indicator species, and examined the influence of environmental variables on butterfly richness, dominance, abundance, and species composition. Our dataset comprises the long-term monitoring of fruit-feeding butterflies in Restinga forests from 2014 to 2019, across sites with low, medium, and high levels of disturbance due to cattle trampling. We found that medium and high levels of disturbance increased butterfly richness and abundance, whereas low-level disturbance was associated with lower abundance. Additionally, the species composition of butterflies in medium to highly disturbed sites differed from that in preserved Restinga forests, indicating that any perturbation can markedly alter alpha and beta diversity parameters. These changes simplify the native forest structure, open the canopy, disrupt the understory, and favor butterfly species commonly associated with disturbed forests.

Climate Change Threatens Barringtonia racemosa: Conservation Insights from a MaxEnt Model

Barringtonia racemosa (L.) Spreng. (Lecythidaceae), a crucial species in mangrove ecosystems, is facing endangerment primarily due to habitat loss. To address this issue, research is imperative to identify suitable conservation habitats for the endangered B. racemosa within mangrove ecosystems. The utilization of the optimized Maximum Entropy (MaxEnt) model has been instrumental in predicting potential suitable regions based on global distribution points and environmental variables under current and future climates conditions. The study revealed that the potential distribution area of B. racemosa closely aligns with its existing range with an Area Under the Curve (AUC) greater than 0.95. The Jackknife, AUC, percent contribution (PC), and permutation importance (PI) tests were employed alongside the optimized MaxEnt model to examine the influence of environmental variables on the distribution of B. racemosa. The primary factors identified as significant predictors of B. racemosa distribution included the average temperature of the ocean surface (Temperature), average salinity of the ocean surface (Salinity), precipitation of the warmest quarter (Bio18), precipitation of the driest month (Bio14), seasonal variation coefficient of temperature (Bio4), and isothermality (Bio3). Currently, the habitat range of B. racemosa is predominantly found in tropical and subtropical coastal regions near the equator. The total suitable habitat area measures 246.03 km2, with high, medium, low, and unsuitable areas covering 3.90 km2, 8.57 km2, 16.94 km2, and 216.63 km2, respectively. These areas represent 1.58%, 3.48%, 6.88%, and 88.05% of the total habitat area, respectively. The potential distribution area of B. racemosa demonstrated significant variations under three climate scenarios (SSP126, SSP245, and SSP585), particularly in Asia, Africa, and Oceania. Both low and high suitable areas experienced a slight increase in distribution. In summary, the research suggests that B. racemosa primarily flourishes in coastal regions of tropical and subtropical areas near the equator, with temperature and precipitation playing a significant role in determining its natural range. This study offers important implications for the preservation and control of B. racemosa amidst habitat degradation and climate change threats. Through a comprehensive understanding of the specific habitat needs of B. racemosa and the implementation of focused conservation measures, efforts can be made to stabilize and rejuvenate its populations in their natural environment.

Analytical modelling of an indirect evaporative cooler based on the Maisotsenko cycle for HVAC applications

Highly-efficient evaporative cooling systems can significantly reduce the energy use in buildings, thereby contributing to meet Europe’s climate commitments, including building decarbonisation by 2050. The Maisotsenko Cycle is an indirect, multi-stage type of evaporative cooling which can be used in different air-conditioning applications. The main objective of this study is to develop an analytical model of an indirect evaporative cooler based on the Maisotsenko cycle for HVAC applications. The conservation equations governing the heat and mass transfer processes occurring in the indirect evaporative cooler were solved by means of numerical methods, and the results provided by the model were validated using experimental data reported in the literature (differences lower than 2%). Finally, a parametric study was conducted where the influence of various operational and environmental variables on the system's performance were numerically analysed.