Positive Coefficient Research Articles

The Relationship Between Digital Innovation, Digital Marketing, and MSME Performance: The Mediation Role of Processed Fish Environmentally Friendly Supply Chain Management

This inquire about points to investigate the interceding impact of naturally inviting supply chain administration on the relationship between advanced advancement, advanced showcasing, and the execution of MSMEs in the angle handling division in Gresik. Analysts utilized a cross-sectional investigate technique to collect information from 90 angle handling bungalow industry proprietors through a self-administered overview survey utilizing a doable inspecting procedure. The inquire about strategy employments quantitative and information is prepared utilizing WarpPLS 8.0. Relapse examination discoveries appear that the advanced advancement variable has a noteworthy impact on green supply chain administration with a p-value of 0.24 and a negative beta coefficient esteem, to be specific β = -0.07. Computerized showcasing has a positive and critical impact on progressing green supply chain administration with a p-value <0.001 and a positive β coefficient esteem of β 0.29. Advanced advancement and advanced promoting have a noteworthy impact on progressing the execution of MSMEs with green supply chain administration as intervention with a p-value of 0.09 and a positive beta coefficient esteem of β=0.14

Consensus Analysts Target Price and Stock Price Returns in Nigeria

This study focuses on the effect of an Investment Valuation technique (Consensus Analysts Target Price) on Stock Price Return of listed companies in the Nigerian Exchange between the period of 2011 and 2023. The ex-post facto research design was employed in this research due to the use of historic (secondary) data from the selected fifteen (15) companies across 3 major sectors on the Nigeria Exchange (NGX). Panel autoregressive distribution lag model was the estimation techniques and inference made on 5% significance level. Prior to the data analysis, a number or pre-estimation test were carried out such as co-integration, homogeneity, and cross-sectional dependence in addition to basis correlation and descriptive analysis.  Findings from the short run reveals a significant negative coefficient (-0.273) for lagged Stock Price Return (L.STR), indicating a substantial short-term correction effect. Conversely, the lagged Consensus Analyst Target Price (L.CATP) shows a positive coefficient (0.141) without statistical significance, suggesting a modest positive relationship without an immediate impact on Stock Price Return. Transitioning to the long run, the highly significant negative coefficient (-1.273) for long-run Stock Price Return (lr_STR) emphasizes a robust and persistent negative adjustment effect. Over an extended period, Consensus Analyst Target Price (lr_CATP) introduces a marginally significant positive coefficient (0.077), implying a modest positive impact on Stock Price Return. Based on the results, one recommendation concerning Consensus Analyst Target Price (CATP) and Stock Price Return is to exercise caution in relying solely on CATP for short-term decision-making. Investors should be aware that, in the short term, deviations from the lagged return may not be significantly influenced by CATP. Therefore, considering additional factors or indicators alongside CATP could enhance the accuracy of short-term decision-making in understanding stock price movements.

A 2D Acridine‐Based Covalent Organic Framework for Selective Detection and Efficient Extraction of Gold from Complex Aqueous‐Based Matrices

Developing candidate materials which possess the ability of both selective detection and efficient capture of precious metal gold is highly desirable for environment and economy. However, most of reported materials only focus on single function, which seriously restricts their practical application as probes or adsorbents. Herein, a two dimensional (2D) acridine‐based covalent organic framework (TpDa‐COF) is prepared via the linkage of imine bonds for gold detection and adsorption. The synthesized COF can achieve both fluorescence and colorimetric dual sensing for Au3+ in a low concentration range (0.1 – 1.5 ppm) with the limit of detection (LOD) of 0.036 ppm. Impressively, the selectivity of TpDa‐COF for the detection of Au3+ is admirable (Fe3+, Fe2+ and Cu2+ for negligible influence on its fluorescence). In addition, TpDa‐COF exhibits ultrahigh adsorption capacity of 982.5 mg·g‐1 for gold at pH = 4, which is attributed the synergistic effect of both selective coordination and reductive process of Au(III) to Au(0). Meanwhile, both positive entropy change (ΔS = 76.07 J·mol‐1·K‐1) and high distribution coefficient (Kd = 12484.8 mL·g‐1) confirm the good affinity between TpDa‐COF framework and gold. This work gives us a new insight to prepare COF with pyridine nitrogen sites for gold detection and adsorption.

A2D Acridine-Based Covalent Organic Framework for Selective Detection and Efficient Extraction of Gold from Complex Aqueous-Based Matrices.

Developing candidate materials which possess the ability of both selective detection and efficient capture of precious metal gold is highly desirable for environment and economy. However, most of reported materials only focus on single function, which seriously restricts their practical application as probes or adsorbents. Herein, a two dimensional (2D) acridine-based covalent organic framework (TpDa-COF) is prepared via the linkage of imine bonds for gold detection and adsorption. The synthesized COF can achieve both fluorescence and colorimetric dual sensing for Au3+ in a low concentration range (0.1 - 1.5 ppm) with the limit of detection (LOD) of 0.036 ppm. Impressively, the selectivity of TpDa-COF for the detection of Au3+ is admirable (Fe3+, Fe2+ and Cu2+ for negligible influence on its fluorescence). In addition, TpDa-COF exhibits ultrahigh adsorption capacity of 982.5 mg·g-1 for gold at pH = 4, which is attributed the synergistic effect of both selective coordination and reductive process of Au(III) to Au(0). Meanwhile, both positive entropy change (ΔS = 76.07 J·mol-1·K-1) and high distribution coefficient (Kd = 12484.8 mL·g-1) confirm the good affinity between TpDa-COF framework and gold. This work gives us a new insight to prepare COF with pyridine nitrogen sites for gold detection and adsorption.

Spectral analysis for weighted extended Vicsek polygons

Because of the application of fractal networks and their spectral properties in various fields of science and engineering, they have become a hot topic in network science. Moreover, deterministic weighted graphs are widely used to model complex real-world systems. This paper studys weighted extended Vicsek polygons W(G m,t ), which are based on the Vicsek fractal model and the extended fractal cactus model. The structure of these polygons is controlled by the positive integer coefficient m and the number of iterations t. From the construction of the graph, we derive recursive relations of all eigenvalues and their multiplicities of normalized Laplacian matrices from the two successive generations of the weighted extended Vicsek polygons. Then, we use the spectra of the normalized Laplacian matrices to study Kemeny’s constant, the multiplicative Kirchhoff index, and the number of weighted spanning trees and derive their exact closed-form expressions for the weighted extended Vicsek polygons. The above results help to analyze the topology and dynamic properties of the network model, so it has potential application prospects.

Estimation of Correlation Coefficient Analysis for Yield and Component Traits in Field Pea (Pisum sativum L.)

The present investigation entitled “Estimation of Correlation Coefficient Analysis for Yield and Component Traits in field pea (Pisum sativum L.)” for 10 characters. The experiment comprising of 23 genotypes of pea were grown in a Randomized Block Design (RBD), with three replications at Research Farm, Department of Genetics & Plant Breeding, Post Graduate College, Ghazipur, during rabi season of 2017-2018, plant to plant and row to row distance was kept 10 cm and 45 cm, respectively. The maximum positive and significant phenotypic correlation coefficient (0.834) was found between seed yield per plant, biological yield per plant. Positive and significant correlations were observed between seed yield per plant and number of pods per plant, plant height. Positive and significant correlations were also recorded between biological yield per plant and plant height, number of pods per plant. Similarly number of pods per plant had positive and significant correlation with plant height.

Assessing the Influential Factors that Guide Students of the University of Education, Winneba, Toward Choosing Teaching Career Path

This study examined the multilayered factors that determined the career selection of students at the University of Education, Winneba (UEW), particularly emphasizing the decision-making process for the selection of teaching career paths. The study adopted a concurrent design of the mixed-methods approach. Stratified and simple random sampling techniques (proportional) were utilized to sample 627 level 400 students from six departments. Out of the 627 respondents, 617 submitted completed questionnaires for the study. Purposive sampling technique was also utilized to select 12 students from the sample for interview, two from each department. Frequencies, percentages and regression were used to analyse the quantitative data while qualitative content analysis was used for the qualitative data analysis. The results revealed that avenues for academic progression (n=512, 82.9%), personal attributes (n=488, 79.0%), achievement of career aspiration (n=459, 75.5%), motivated by teachers (n=400, 64.8%) are important influential factors for choosing teaching career path. The findings also revealed that temperament, interest and personal qualities were the personal factors that motivated the students to opt for a teaching career path. It was also revealed that financial challenges and inability to satisfy admission requirements compelled some students to select teacher education programmes. It was discovered that encouragement from family has a positive coefficient (0.085) with a p-value of 0.030, signifying a significant positive relationship between the predictor and outcome variables. It was recommended that the government, NGOs and universities should launch campaigns to educate parents about the need to respect their children's independence in career decisions.

Essential oils mix effect on chicks ileal and caecal microbiota modulation: a metagenomics sequencing approach

IntroductionMicrobiota plays a pivotal role in promoting the health and wellbeing of poultry. Essential oils (EOs) serve as an alternative solution for modulating poultry microbiota. This study aimed to investigate, using amplicon sequencing, the effect of a complex and well-defined combination of EOs feed supplement on both ileal and caecal broiler microbiota, within the context of Salmonella and Campylobacter intestinal colonization.Material and methodsFor this experiment, 150-day-old Ross chicks were randomly allocated to two groups: T+ (feed supplementation with EO mix 500 g/t) and T– (non-supplemented). At day 7, 30 birds from each group were orally inoculated with 106 CFU/bird of a Salmonella enteritidis and transferred to the second room, forming the following groups: TS+ (30 challenged birds receiving infeed EO mix at 500g/t) and TS– (30 challenged birds receiving a non-supplemented control feed). At day 14, the remaining birds in the first room were orally inoculated with 103 CFU/bird of two strains of Campylobacter jejuni, resulting in the formation of groups T+C+ and T–C+. Birds were sacrificed at day 7, D10, D14, D17, and D21. Ileal and caecal microbiota samples were analyzed using Illumina MiSeq sequencing. At D7 and D14, ileal alpha diversity was higher for treated birds (p <0.05).Results and discussionNo significant differences between groups were observed in caecal alpha diversity (p>0.05). The ileal beta diversity exhibited differences between groups at D7 (p < 0.008), D10 (p = 0.029), D14 (p= 0.001) and D17 (p= 0.018), but not at D21 (p = 0.54). For all time points, the analysis indicated that 6 biomarkers were negatively impacted, while 10 biomarkers were positively impacted. Sellimonas and Weissella returned the lowest (negative) and highest (positive) coefficient, respectively. At each time point, treatments influenced caecal microbiota beta diversity (p < 0.001); 31 genera were associated with T+: 10 Ruminoccocaceae genera were alternatively more abundant and less abundant from D7, 7 Lachnospiraceae genera were alternatively more and less abundant from D10, 6 Oscillospiraceae genera were variable depending on the date and 4 Enterobacteriaceae differed from D7. During all the experiment, Campylobacter decreased in treated birds (p < 0.05). This study showed that EO mix modulates ileal and caecal microbiota composition both before and during challenge conditions, increasing alpha diversity, especially in ileum during the early stages of chick life.

Aerobic exercise attenuates dysautonomia, cardiac diastolic dysfunctions, and hemodynamic overload in female mice with atherosclerosis

Cardiovascular risk increases during the aging process in women with atherosclerosis and exercise training is a strategy for management of cardiac risks in at-risk populations. Therefore, the aims of this study were to evaluate: (1) the influence of the aging process on cardiac function, hemodynamics, cardiovascular autonomic modulation, and baroreflex sensitivity in females with atherosclerosis at the onset of reproductive senescence; and (2) the impact of exercise training on age-related dysfunctions in this model. Eighteen Apolipoprotein-E knockout female mice were divided equally into young (Y), middle-aged (MA), and trained middle-aged (MAT). Echocardiographic exams were performed to verify cardiac morphology and function. Cannulation for direct recording of blood pressure and heart rate, and analysis of cardiovascular autonomic modulation, baroreflex sensitivity were performed. The MA had lower cardiac diastolic function (E'/A' ratio), and higher aortic thickness, heart rate and mean arterial pressure, lower heart rate variability and baroreflex sensitivity compared with Y. There were no differences between Y and MAT in these parameters. Positive correlation coefficients were found between aortic wall thickness with hemodynamics data. The aging process causes a series of deleterious effects such as hemodynamic overload and dysautonomia in female with atherosclerosis. Exercise training was effective in mitigating aged-related dysfunctions.

The impact of eco-preneurship and green technology on greenhouse gas emissions - An analysis of East Asian economies

The pressing need to address the effects of rising greenhouse gas emissions on the environment has become a global concern. Policymakers, governments, and stakeholders advocate a sustainable clean environment. Therefore, green technology and eco-entrepreneurship initiatives are being implemented to reduce these emissions. Despite their efforts in sustainable environments, there is insufficient research on how these initiatives impact economies. This study explores the impact of eco-entrepreneurship and green technology on reducing greenhouse gas emissions in East Asia. Using China and Japan, ranked the first and fifth highest greenhouse gas emitters globally, as case studies, the study employed ARDL and NARDL models for empirical analysis. The findings show that short-run linear estimates of eco-entrepreneurship are significant only in China, while nonlinear short-run estimates are significant for both China and Japan. Comparably, short-run linear estimates of green technology are significant for both China and Japan, while nonlinear coefficient estimates are significant only in Japan. The linear estimate of eco-entrepreneurship was significant and negative in both countries. The coefficient estimates for green technology are significant and negative for both countries. In the nonlinear model, the positive shock coefficient estimates for eco-entrepreneurship are negative and significant in China and Japan. These initiatives are vital for reducing greenhouse gas emissions and improving East Asian economies.

Analyzing the spatial relationship between land surface temperature and elevation in three gullies locations in southeastern Nigeria

Gully erosion is a dangerous phenomenon that threatened human existence, plants and animals communities. Families are being separated from their ancestral home and livelihood due to gully erosion. Also, available agricultural lands to combat food insecurity are contently depleted on yearly basis across the globe as a result of gullies menace. Southeastern Nigeria is highly vulnerable to gully erosions due to it geology and studies on spatial relationships between gully LST and elevation has not been carried out, particular by applying remote sensing and GIS technique to investigate it variations. Available studies where limited to mapping and causes of gully erosion in the region. The study applies LST and elevation data to investigate correlation on three gullies locations. LST was derived from Landsat data and was first converted to radiance image while the elevation data was obtained from Google Earth image. Elevation data was used to produce raster surface in that cell values equivalent to LST at every point can be extracted. Three sets of paired sample points of LST and elevation was extracted from the three gullies locations and used to compute correlation coefficient (r). The study observed at Nanka gully a strong negative correlation of -0.665. This implies an increase in LST correspond to decrease in elevation within the gully. At Ekwolobia and Aguluezechukwu gullies sites, positive correlation coefficient of 0.692 and 0.910 were obtained. The positive correlation coefficients implied that LST and elevation increase or decrease within the gullies. This might be due to unequal distribution of radiation within gully surface as a result of three canopies. For further study, it is recommended that improve elevation data source like LiDAR elevation data should be use to investigate spatial correlation between LST and elevation at gully location.

Влияние природных и антропогенных факторов на формирование микроэлементного состава буроземов острова Рейнеке

The role of natural and anthropogenic factors in the formation of the microelement composition of the brown soils of the Reinecke Island is considered. Analysis of the concentration coefficients of heavy metals in the island brown soils showed that during soil formation, active accumulation occurs in the surface horizons of Zn, Cu, Cd and Co. The research results indicate the prevailing influence of soil formation features on the content and distribution of heavy metals in areas remote from the coast. As we approach the coastal zone, beloved by tourists for recreation, the content of Zn, Cu, Cd increases significantly in the surface layer of the island's brown soils, which is probably due to the local anthropogenic impact that takes place there. The data on the profile distribution of heavy metals in the studied brown soils reflect the intensity of the processes of humus formation occurring in the profile of brown soils and indicate the affinity of Pb, Cd to organic complexes. This is confirmed by the presence of significant positive correlation coefficients between organic matter and Pb and Cd content. The role of physical indicators of borozems on the fixation of a number of heavy metals in their profile is also noted. Quantitative indicators of Cr and Ni content are most determined by the distribution of the silty fraction. High values of the correlation coefficient between pH, the sum of exchange bases and the Mn content may indicate the influence of acid-base properties on its accumulation in the soil profile. Manganese hydroxide plays an important role in fixing Co in the brown soils of the island. The correlation between Co and Mn is estimated as noticeable.

Prevalence of human intestinal helminths in Nnewi South Local Government Area, Anambra State, Nigeria

study on human intestinal helminths was conducted across eight primary schools in Nnewi South LGA, Anambra State. Stool samples were collected from 495 randomly selected pupils and examined using the direct smear technique to determine the prevalence of helminthic infections with predictor variables being regressed against outcome variables. A structured questionnaire was used to obtain biodata from the pupils to assess the association of intestinal helminths with socio-economic variables. The overall percentage of intestinal helminth-infected pupils had no statistical significance (p=0.1294). The probability of the outcome variable occurring rose by approximately 1.18 and 1.15 times for every unit higher in the predictor variable, as indicated by the positive coefficients for S1 and S4 schools (0.164821 and 0.136310). Only Trichuris infection exhibited a negative coefficient (-2.535188) among single infections and was significantly associated (p=0.0249). Ascaris + hookworm and Ascaris + Trichuris infections among the multiple infections revealed negative and positive coefficients (- 9.730077 and 1731.696, respectively), and they were strongly related (p=0.0001 and 0.0000). The number of infected students in (14-18) age range had a positive coefficient (0.020680) and was significantly (p=0.0441) associated with odds ratios of about 1.02, meaning that the odds of the dependent variables increase by about 1.02 times for every unit increase in the independent variable. The proportion of males with the infection displayed positive coefficients (0.980800) and was significantly (p=0.0052) associated with odds ratios of about 2.67, indicating that the likelihood of outcome variables occurring increases by approximately 2.67 times for every unit rise in the predictor variable. Conclusively, the findings observed could be attributed to the poor socio-economic status and poor personal hygiene arising from the lack of basic amenities such as pipe-borne water and other sanitary facilities in the study location. Adequate health education on sanitation, provision of portable drinking water, toilet facilities and mass deworming programmes are highly recommended in the area.

Farmers’ perceptions of sustainable agriculture in the Red River Delta, Vietnam

While economic growth and food security in Vietnam's Red River Delta are heavily reliant on agriculture, the intensive use of agricultural land has resulted in various negative impacts on the environment, such as soil degradation, water pollution, biodiversity loss, and health effects on humans and animals. The current situation emphasizes an increased need for sustainable agriculture practices in the region. Understanding farmers' decision-making processes and identifying factors that influence their choices is crucial in order to promote their adoption of sustainable agriculture practices. This study examines the impact of attitudes, subjective norms, perceived behavioral control, age, and gender on farmers' intention to adopt sustainable agriculture practices using the Theory of Planned Behavior and Partial Least Squares Structural Equation Modeling. The results show that attitude towards sustainable agriculture practices showed a path coefficient of 0.310 (p < 0.001), and perceived behavioral control had a coefficient of 0.305 (p < 0.001), indicating strong positive relationships with intention. However, subjective norms, despite a positive coefficient, did not significantly affect intentions (path coefficient 0.099, p > 0.05). Age was found to have a moderating effect; older farmers are less likely to adopt sustainable agriculture practices compared to their younger counterparts. Gender, however, did not present a significant influence. In light of these findings, policymakers face a challenge in creating incentives to encourage farmers' engagement in sustainable agriculture practices in the Red River Delta and at the same time discourage youth out-migration from the agricultural sector more generally. Overall, this study enriches our theoretical understanding of the factors influencing sustainable agriculture adoption in developing countries and offers practical insights for policymakers and agricultural stakeholders in the Red River Delta to promote more effective and targeted sustainable agriculture practices.

Small-scale variation of atmospheric dynamics applying chaos theory, case study

Characterization and knowledge of the variability of atmospheric dynamics on a small scale in the city of Riobamba, Ecuador, are achieved through the chaos theory. Meteorological data is taken every hour during four years, including variables such as wind speed, wind direction, incident radiation, temperature, and humidity, from the ESPOCH, SAN JUAN, and QUIMIAG weather stations in the canton of Riobamba. The van Ulden and Hostlang models are used to calculate the Obukhov length, surface heat fluxes, and latent heat flux. The chaos theory is applied to study the variation of atmospheric microdynamics. The Lyapunov coefficients, Kolmogorov-Sinai entropy, and Kaplan-Yorke fractal dimension are determined. Before analysis, noise reduction is necessary due to the lack of correlation, especially in the Obukhov length. This research follows a longitudinal design and employs quantitative and explanatory methods based on data analysis, statistical-mathematical techniques, and inductive-deductive approaches. The results indicate a highly variable system, reflected in a high number of Lyapunov coefficients, fractional dimensions, and entropy variations. The microdynamic parameters exhibit hyperchaotic behavior, as indicated by the presence of more than one positive Lyapunov coefficient. The variables also demonstrate a fractional fractal dimension, highlighting the irregularity in the geometric representation of the system.

Do Intellectual Capital in the Relationship between Governance and Corporate Financial Performance, Strengthening or Weakening?

This study aims to identify and analyze the role of intellectual capital as a moderating variable in the relationship between governance and firm financial performance. Using panel data regression, this study analyses 412 observation units from 103 manufacturing companies listed on the Indonesia Stock Exchange during 2018-2021. The results show that, partially, both governance and intellectual capital have no significant effect on financial performance. However, when the governance variable has interacted with intellectual capital and a moderation test is conducted, it is found that the interaction variable has a significant effect on financial performance with a positive coefficient. This indicates that intellectual capital acts as a pure moderator variable of the positive effect of governance on financial performance. This result implies that in the absence of high intellectual capital, governance proves to be inefficient in its efforts to improve the firm's financial performance

The conjugation of productive features of dairy cattle of the Holstein breed

Relevance. Currently, in the Sverdlovsk region, more than 75% of the total number of cattle belongs to the Holstein breed, created by absorbing domestic black-and-white cattle into Holsteins. The study of the variability of the productive qualities of cows during lactation is important for identifying the possibility of increasing productive longevity and the efficiency of breeding and using Holstein cattle of the Ural selection in the conditions of the Middle Urals.Methods. The study was conducted in one of the typical livestock complexes of the Holstein black-and white cattle breed in the Sverdlovsk region. All cows that completed four lactation periods were included in the assessment. Milk productivity was assessed by control milks, milk quality indicators: MJ and MDB in milk in an average milk sample from each cow, once a month correlation coefficients between productive characteristics were calculated in the Uralplemcenter dairy laboratory. The automated program “SELEX. Dairy cattle.”Results. As a result of the conducted studies, it was found that significantly more milk was produced from age-and-sex cows during the third lactation than during the first and second, as well as the fourth lactation (p ≤ 0.01 — for the first, p ≤ 0.05 — for the second and fourth). The live weight significantly increased with age in the second lactation at p ≤ 0.01 relative to the first, and from the third onwards — at p ≤ 0.001 relative to the first lactation. There is a tendency to decrease the mass fraction of fat (MJ) in milk and a simultaneous increase in MDB with age from the first to the fourth lactation. When carrying out breeding work, it is possible to take into account the positive correlation coefficients for predicting the further milk productivity of cows according to the milk yield of the first heifers, the invariance of milk quality indicators with changes in milk yield and the positive effect of live weight of cows on their productivity. The research is exploratory and was carried out within the framework of scientific research of the Ural State Agrarian University (state registration No. AAAA19-1191014000069).

Understanding the operators’ cloud change errors based on cognitive abilities and personality traits: An investigation integrated with quantitative and qualitative methods

While cloud services make industrial data convenient, they also expose it to cloud incidents. Operators' error in cloud change activities is a leading factor for cloud incidents, which have received relatively less attention in cloud security research. This study conducted a two-stage research process using an integrated approach to explore the stable individual factors related to cloud change errors. First, in the qualitative research, content analysis based on interviews and historical documents was conducted to extract the operator's cognitive abilities and personality traits and develop hypotheses. Five cognitive abilities and six personality traits were extracted. Second, quantitative research based on an experiment was conducted to test relationships between operators' different types of cloud change errors and 1) cognitive ability and 2) personality traits, respectively. Results of error type comparisons suggested that operators generated more uncorrected errors than corrected errors and more operational errors than omission errors in cloud change activities. The multivariate Poisson regression analysis suggested that cognitive abilities of sustained attention, divided attention, and long-term memory negatively predicted the number of operators' total errors, uncorrected errors, and operational errors. Regarding personality traits, with the increase in resilience capacity and carefulness and the decrease in self-esteem, the number of different types of errors reduced, except for omission errors. Working memory and risk-taking propensity were also significant predictors of the number of uncorrected errors with negative and positive coefficients, respectively. Logical reasoning, emotional stability, and sense of responsibility were not observed as predictors of cloud change errors. The present findings have several implications for the industry and cloud providers to enhance industrial cloud data security regarding human cognitive abilities and personality traits.

Evaluating the influence of Cynodon dactylon on the wave force and wave erosion in the water-level fluctuation zone of the Three Gorges Reservoir Area

Wave erosion is the main erosion type in the water-level fluctuation zone (WLFZ) of the Three Gorges Reservoir Area (TGRA). Despite vegetation can effectively mitigate wave erosion in the WLFZ, its influence on the wave force and wave erosion remains unclear. Therefore, the wave experiments were conducted under 3 Cynodon dactylon coverage rates (0, 30% and 60%) and 9 wave conditions (3 wave heights of 4, 6 and 8 cm combined with 3 wave periods of 1, 2 and 3 s) to analyse the wave force (expressed as the wave pressure on the slope surface and the pore water pressure in the slope) and wave erosion rate, and the factors influencing wave erosion were identified. The results indicated that the wave pressure, pore water pressure and wave erosion rate increased by 19.14%–104.75%, 16.84%–65.04% and 23.33%–91.64%, respectively, as wave height increases. The wave pressure decreased by 1.50%–31.23% followed by an increase by 22.05% to 87.10% with the increase of wave period, whereas the pore water pressure and wave erosion rate decreased by 28.33%–53.59% and 20.46%–63.59%, respectively. However, these quantities decreased by 2.10%–50.84%, 17.06%–40.23% and 17.28%–82.18%, respectively, with the increase of Cynodon dactylon coverage rate. It was also discovered that the pore water pressure and Cynodon dactylon coverage rate attained the highest positive and negative correlation coefficients with the wave erosion rate, respectively. In addition, pore water pressure accumulation is the most critical influence factor on wave erosion, and Cynodon dactylon could effectively reduce the pore water pressure via its roots, thus improving the slope wave erosion resistance. This study could be useful to understand the mechanism of plants on controlling wave erosion and could provide a scientific reference for wave erosion control and the ecological construction in the WLFZ.

The Influence of Earnings Per Share and Interest Rate on Stock Prices in the Mediation of Firm Value (Study on Financial Companies Listed on the Indonesia Stock Exchange)

This study aimed to examine and analyse a company’s characteristic variables. Its earnings per share and interest rates were the macroeconomic variables, and their effect on stock prices was mediated by firm value. This study used quantitative methods and path analysis of 30 financial companies belonging to banks and non-banks that have been listed on the Indonesia Stock Exchange. The results showed that the direct effect of earnings per share on stock price had a positive and significant coefficient. Indirectly or through mediation (intervening) the firm value variable showed that the effect of the earning per share variable on the stock price was obtained by a positive and significant coefficient value. Furthermore, the results showed that the direct effect of interest rate on stock price had a positive direction coefficient and was not significant. The results of the research indirectly or through mediation (intervening) of firm value variable indicated that the effect of interest rate variable on stock price was obtained by positive and insignificant coefficient value. Meanwhile, the firm value directly on the stock price has a significant effect.&#x0D; Keywords: firm value, macroeconomic, Indonesia Stock Exchange