Polynomial Regression Analysis Research Articles

Hybrid and native sesame seeds subjected to salinity

Sesame is a plant with great economic and social potential, being used for various purposes such as the food, pharmaceutical, medicinal industries, and more recently, as a source of renewable energy for the production of biofuel. One of the factors that most limit the productivity of this crop is salt stress. Based on this, the present work aimed to evaluate the germination and vigor of hybrid and creoles sesame seeds subjected to saline stress. The experiment was carried out at the Phytotechnics Laboratory of the Engineering and Agricultural Sciences Campus/UFAL. Two sesame cultivars were studied, BRS Anahí and Creole from the state of Sergipe. The seeds were aseptically treated by immersion in 70% alcohol for 1 minute, followed by washing in running water before being subjected to the treatments. To simulate salt stress, sodium chloride (NaCl) was used as a solute at concentrations of 0.0 (control); -0.1; -0.2; -0.3; -0.4 and -0.5 MPa. The material was placed, Biochemical Oxygen Demand (B.O.D.) germination type chamber, regulated at an alternate temperature of 20-30 °C. The experimental design used was completely randomized, with four replications of 25 seeds per treatments in a 2 x 6 factorial scheme (sesame cultivars x saline concentrations). Data were submitted to analysis of variance and polynomial regression, and the analyzes were performed using the SISVAR 5.6 software. The parameters evaluated were: water content, germination, first germination count, germination speed index, seedling length and dry mass. The results for the germination of sesame seeds submitted to salt stress showed that as the salinity levels increased there was a reduction in the percentage of germination of the sesame seeds studied, but until the concentration of -0.4 MPa they are within the standards allowed for commercialization of that culture. In the first count of germination, the Creoles sesame seeds showed the highest values, demonstrating better germination performance compared to BRS Anahí. In the germination speed index, BRS Anahí outperformed Creoles in all salt concentrations, except for the control. For seedling length, it was found that at the lowest salt concentrations both sesame varieties obtained the highest averages, with a significant reduction in length at the highest concentration (-0.5). The dry mass of the seedlings decreased as the water salinity increased, being more evident after the -0.3 MPa NaCl solution, especially for BRS Anahí. Thus, it can be concluded that salinity affects the physiological potential of sesame seeds, being more evident when at salt concentrations from -0.3 MPa. Creoles sesame seeds are less sensitive to saline stress.

Effect of graded levels of dietary methionine on growth performance, carcass composition and physio-metabolic responses of genetically improved farmed tilapia (GIFT) juveniles reared in inland saline water of 10 ppt

The current study aimed to optimize dietary methionine level for improving growth performance, carcass composition and physio-metabolic responses of genetically improved farmed tilapia (GIFT) juveniles reared in inland saline water of 10 ppt. Seven isonitrogenous (∿370 g crude protein/kg), isolipidic (∿80 g lipid/kg) and isocaloric (∿19 MJ gross energy/kg) purified diets were made with graded levels of methionine viz., 4.9 (M4.9), 7.2 (M7.2), 9.9 (M9.9), 12.3 (M12.3), 15.1 (M15.1), 17.4 (M17.4) and 19.8 g/kg (M19.8) with a constant level of cystine (3.2 g/kg). Completely randomized designs were followed to constitute seven distinct experimental groups and each group comprised of three experimental units. Fifteen juveniles (3.16 ± 0.01 g) were randomly stocked in each experimental unit. During the 60-day feeding trial, juveniles were fed with their respective experimental diets thrice daily at an apparent satiation level. The results revealed that growth (weight gain percentage, thermal growth coefficient and specific growth rate) and feed and nutrient utilization (feed conversion ratio, protein efficiency ratio and apparent net protein retention) were improved significantly with an increment in dietary methionine levels up to 12.3 g/kg, and methionine supplementation beyond that did not give extra benefit in relation to growth performance. Dietary methionine supplementation at various levels had no effect (P > 0.05) on the body indices, survival, carcass moisture and ash content and carcass essential amino acid composition of GIFT juveniles. The carcass protein level increased with an increment in dietary methionine levels up to 12.3 g/kg and then declined with further increment of dietary methionine level. However, carcass lipid content displayed the inverse trend of carcass protein content. GIFT juveniles fed a diet containing 12.3 and 15.1 g methionine/kg displayed elevated activities of liver and muscle aminotransferases activities, while the activity of digestive enzymes was unchanged among dietary groups. An increment of methionine up to 12.3 g/kg of diet resulted in a significant rise in serum protein and globulin concentration. Based on broken-line linear and second-order polynomial regression analysis in relation to weight gain percentage and feed conversion ratio, the optimum methionine requirements for GIFT juveniles reared in inland saline water of 10 ppt ranged from 12.1 to 14.1 g/kg of diet (32.7–38.1 g/kg of dietary protein) with supplementation of cystine at 3.2 g/kg.

Monitoring of Land Surface Temperature from Landsat Imagery: A Case Study of Al-Anbar Governorate in Iraq

Land surface temperature (LST) estimation is a crucial topic for many applications related to climate, land cover, and hydrology. In this research, LST estimation and monitoring of the main part of Al-Anbar Governorate in Iraq is presented using Landsat imagery from five years (2005, 2010, 2015, 2016 and 2020). Images of the years 2005 and 2010 were captured by Landsat 5 (TM) and the others were captured by Landsat 8 (OLI/TIRS). The Single Channel Algorithm was applied to retrieve the LST from Landsat 5 and Landsat 8 images. Moreover, the land use/land cover (LULC) maps were developed for the five years using the maximum likelihood classifier. The difference in the LST and normalized difference vegetation index (NDVI) values over this period was observed due to the changes in LULC. Finally, a regression analysis was conducted to model the relationship between the LST and NDVI. The results showed that the highest LST of the study area was recorded in 2016 (min = 21.1°C, max = 53.2°C and mean = 40.8°C). This was attributed to the fact that many people were displaced and had left their agricultural fields. Therefore, thousands of hectares of land which had previously been green land became desertified. This conclusion was supported by comparing the agricultural land areas registered throughout the presented years. The polynomial regression analysis of LST and NDVI revealed a better coefficient of determination (R2) than the linear regression analysis with an average R2 of 0.423.

On the Accuracy of Correlation Estimator Based Fault Location Methods in Transmission Lines via Polynomial Chaos and Regression Analysis

The electromagnetic time reversal (EMTR) method has recently shown a novel advantage in locating faults along transmission lines. Under the ideal condition for EMTR, the key parameters in the transmission line between the direct and reversed phases are assumed to be identical. Thus, the fault position can be pinpointed via the cross-correlation matching theory. However, due to natural and geographical causes, the parameters vary along the line; therefore, accurately obtaining the parameters is difficult. In this article, we first investigate the impact of uncertain parameters on the performance of EMTR-based fault location methods. It has been observed that the performance is insensitive to the variation of the parameters in the lossless case of transmission lines. But in the case of the overhead line above the lossy ground, a significant error in fault location is witnessed. So, under parameter uncertainty, a novel approach to finding the confidence fault interval is proposed, based on utilizing the polynomial chaos and regression analysis. A simulation case with uncertain parameters for different scenarios is presented to validate the performance of the proposed approach.

Analisis Anomali Iklim Dalam Hubungan Dengan Produksi Padi Sawah (Oryza sativa L .) Di Kabupaten Minahasa Utara

This study aims to look at the relationship between rainfall and lowland rice production in North Minahasa Regency from 2010 to 2020, and this research was carried out from August to October 2021. Data collection was taken using secondary data, and presented in the form of tables and graphs. The study used polynomial regression analysis using order 6 and Microsoft Excel 2016 software. The results showed that the rainfall in 2010-2020 in North Minahasa Regency fluctuated every year. The highest rainfall occurred in 2016, namely 5,322 mm and low rainfall occurred in 2015, namely 2,730 mm, the highest lowland rice production occurred in 2020, namely 8.32 tons/ha and the lowest rice production in 2010, namely 4.89 tons/ha. Based on the results of the analysis, it was found that R2 = 0.7218, which means that the correlation value is good and rainfall has a very good effect on the growth of paddy rice plants.

Prediction of pressure drop from multivariate polynomial regression for membrane-based air-to-air energy recovery ventilator cores

Ventilation is an active control method that can improve the indoor environment by removing indoor air pollution. The membrane-based air-to-air energy recovery ventilator is a ventilation device that utilizes the heat exchange between the discharged polluted air and fresh outdoor air during ventilation. This study analyzed the pressure drop characteristics of the ventilator core and aimed to develop an equation to predict the pressure drop using polynomial regression based on the size of the core, the airflow rate, and the opening ratio of the core. Within elements having the same opening ratio, the channel velocity (uc ) and equivalent pressure drop (Pe ) values showed a linear relationship, regardless of the element size. The opening ratio of the elements varied depending on the cell height. To analyze the correlation between the opening ratio of the element, substantial flow rate inside the element, and equivalent pressure drop, a multivariate polynomial regression analysis was conducted for the three variables. The difference between the values of the derived prediction formula and the experimental value was found to be within 5% across the entire range in which the experiment was conducted. Using the interaction formula of equivalent pressure drop, channel velocity, and opening ratio derived in this study, the pressure drop across the entire driving area could be predicted for an arbitrary cell height and width of the ventilator core, as well as the operating airflow rate.

Dietary Supplementation with Chromium DL-Methionine Enhances Growth Performance of African Catfish (Clarias gariepinus).

Sustainable aqua feeds have become an urgent necessity for future-oriented aquaculture sector development, and especially mineral supply could be limited when diets are being prepared with low amounts of animal-based sources. Since knowledge about the efficiency of organic trace mineral supplementation in different species of fish is limited, the effects of chromium DL-methionine in African catfish nutrition were evaluated. Four commercially based diets with increasing chromium DL-methionine supplementation (0, 0.2, 0.4, and 0.6 mg Cr kg-1) in the form of Availa-Cr 1000 were fed to African catfish (Clarias gariepinus B., 1822) in quadruplicate groups for 84 days. Growth performance parameters (final body weight, feed conversion ratio, specific growth rate, daily feed intake, protein efficiency ratio, and protein retention efficiency), biometric indices (mortality, hepatosomatic index, spleen somatic index, and hematocrit), and mineral retention efficiency were assessed at the end of the feeding trial. The specific growth rate was significantly increased in fish-fed diets with 0.2 mg Cr kg-1 and 0.4 mg Cr kg-1 supplementation in comparison with control and based on the second-degree polynomial regression analysis; supplementation with 0.33 mg Cr kg-1 was optimal in commercially based diets for African catfish. Chromium retention efficiency was reduced with increasing supplementation levels; however, the chromium content of the whole body was comparable to literature. The results suggest that organic chromium supplementation is a viable and safe supplement for diets to increase the growth performance of African catfish.

Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition.

To investigate age-related neuromelanin signal variation and iron content changes in the subregions of substantia nigra (SN) using magnetization transfer contrast neuromelanin-sensitive multi-echo fast field echo sequence in a normal population. In this prospective study, 115 healthy volunteers between 20 and 86years of age were recruited and scanned using 3.0-T MRI. We manually delineated neuromelanin accumulation and iron deposition regions in neuromelanin image and quantitative susceptibility mapping, respectively. We calculated the overlap region using the two measurements mentioned above. Partial correlation analysis was used to evaluate the correlations between volume, contrast ratio (CR), susceptibility of three subregions of SN, and age. Curve estimation models were used to find the best regression model. CR increased with age (r = 0.379, p < 0.001; r = 0.371, p < 0.001), while volume showed an age-related decline (r = -0.559, p < 0.001; r = -0.410, p < 0.001) in the neuromelanin accumulation and overlap regions. Cubic polynomial regression analysis found a small increase in neuromelanin accumulation volume with age until 34, followed by a significant decrease until the 80s (R2 = 0.358, p < 0.001). No significant correlations were found between susceptibility and age in any subregion. No correlation was found between CR and susceptibility in the overlap region. Our results indicated that CR increased with age, while volume showed an age-related decline in the overlap region. We further found that the neuromelanin accumulation region volume increased until the 30s and decreased into the 80s. This study may provide a reference for future neurodegenerative elucidations of substantia nigra. • Our results define the regional changes in neuromelanin and iron in the substantia nigra with age in the normal population, especially in the overlap region. • The contrast ratio increased with age in the neuromelanin accumulation and overlap regions, and volume showed an age-related decline, while contrast ratio and volume do not affect each other indirectly. • The contrast ratio of hyperintense neuromelanin in the overlap region was unaffected by iron content.

Method of estimating three-dimensional direction-of-arrival based on monaural modulation spectrum

Humans have an amazing ability to monaurally locate sound sources by using various acoustical cues. However, it is not clear how humans can perceive the direction-of-arrival (DOA) of a sound source in three-dimensional (3D) space using monaural acoustic cues. It has been reported that humans can perceive modulation cues in the auditory-localization process. Therefore, it has become important to determine whether monaural DOA can be estimated by analyzing the modulation information of the observed signal. We propose a monaural modulation spectrum (MMS)-based monaural DOA-estimation method. Through polynomial regression analysis, we calculated the regression equation between monaural DOA and MMS features and modeled the features. This method is based on this polynomial regression model. We carried out simulations with several signal types and participants to simultaneously estimate the azimuth and elevation of an incoming sound source. The evaluation results indicate that the proposed method could adequately estimate the DOA of artificial amplitude-modulation (AM) noise signals in 3D space with a root mean square error (RMSE) of 5.59 degrees compared with the mean error of 12 degrees of human monaural hearing. We also carried out simulations using speech signals to determine the method’s applicability. The evaluation using test speech signals resulted in a mean RMSE of 6.81 with a small standard deviation. Compared with the evaluation results of AM noise, the mean RMSE increased by only 22.2%. This suggests that the proposed method is applicable to realistic monaural DOA estimation.

A Validation Study on Mechanical Properties of Foam Concrete with Coarse Aggregate Using ANN Model

The usage of foam concrete (FC) was extended from being used as a filler material to an alternative concrete due to the effect of conventional concrete on global warming. The diversified perspective on FC as an alternative to conventional concrete is due to its low density (400–1800 kg/m3) and good thermal conductivity, which also results in the reduction of costs in production, labor, and transportation. Generally, FC is produced by adding a pre-made foam to the cement slurry consisting of cement and aggregates. Here, the study was carried out by the addition of a coarse aggregate and foaming agent (i.e., 12%, 6%, 3%, 2%, 1%) at varying percentages in FC to improve the strength characteristics. FC was tested for its physical and mechanical properties. From the experimental results, an Artificial Neural Network (ANN) was developed to predict the strength of FC. The results from training and testing of the Polynomial Regression Analysis model (PRA) through ANN have shown great potential in predicting compression, split tensile, and flexural strength of FC. It was found that the strength of FC is increased with the reduction of foam volume and increase in coarse aggregate volume. However, a strength of 25.6 N/mm2 is achieved when 1% foam and 50% coarse aggregate is used.

Effect of water physicochemistry on amphibian abundance in Sub-tropical Kupinde Lake of the Nepal Himalaya

Abstract. Sunar CB, Pandey N, Chand B, Upadhyaya LP, Thapa B, Pant RR, Khanal L. 2022. Effect of water physicochemistry on amphibian abundance in Sub-tropical Kupinde Lake of the Nepal Himalaya. Intl J Bonorowo Wetlands 12: 92-99. Amphibians are the key bioindicators of ecosystem health. Their diversity and abundance are affected by the physicochemical factors of the environment. Wetland ecosystems of the Himalaya are under the threat of human activities and current climate change. However, hydrochemical status and faunal diversity are poorly documented in the wetlands of western Nepal. This study characterized the physicochemical parameters of water in Kupinde Lake in the Salyan District of Karnali Province, Nepal, and established the association between amphibian abundance and those parameters. A total of 24 samples of surface water were collected at the lake's edge during October 2021, and 18 physical and chemical parameters were analyzed. Visual encounter surveys were conducted at each water sampling site to count amphibians within a circle of two meters in diameter. The lake water was slightly alkaline (mean pH = 8.16±0.29), and the major dominating cation and anion were Ca2+ and HCO3-, respectively. Amphibian abundance was positively correlated with pH, HCO3-, and NH4+ and negatively correlated with EC, TDS, CO2, Cl-, and Na+. The polynomial regression analysis revealed amphibian abundance has a consistent positive association with water pH (r2 = 0.497, p &lt; 0.05) and unimodal relation with the temperature (r2 = 0.188, p &lt; 0.05). Low amphibian diversity and dominance of a single amphibian species, the Indian skipper frog (Euphlyctis cyanophlyctis Schneider, 1799), indicate poor ecosystem health of the lake. The findings of this study provide baseline information for monitoring and managing the Kupinde Lake.

Assessing maternal cardiac function by obstetricians: technique and reference ranges

A strong body of evidence has now coalesced indicating that some obstetrical syndromes may result from maladaptive responses of the maternal cardiovascular system. Longitudinal studies have shown that these changes are complex and present before the clinical recognition of preeclampsia and fetal growth restriction, suggesting that hemodynamic maladaptation may play an etiologic role in obstetrical complications. Chronic hypertension is one of the most frequent complications of pregnancy, and recent evidence suggests that control of mild hypertension in early pregnancy improves outcome. The management of chronic hypertension can be improved by understanding specific cardiovascular hemodynamic abnormalities such as increased cardiac output or increased systemic vascular resistance, which can respond to either beta or calcium channel blockers, depending on the hemodynamic findings. Evaluation of maternal cardiac function has not been previously available to obstetrical healthcare providers using diagnostic ultrasound equipment used for fetal evaluation. Obstetrical ultrasound machines may be configured for various probes (endovaginal, abdominal, 3D/4D, and cardiac). This study used a cardiac probe placed in the suprasternal notch to image and measure the descending aorta diameter and the velocity time integral using pulsed and continuous wave Doppler ultrasound in normal pregnant women between 11 and 39 weeks of gestation. These measurements were followed by computation of maternal left ventricular preload, afterload, contractility, and blood flow. This was a prospective cross-sectional study. A total of 400 pregnant women were recruited between 11 and 39 weeks of gestation. Imaging of the maternal aortic arch was performed by placing a cardiac probe in the suprasternal notch to identify the aortic arch using 2D and color Doppler ultrasound. The end-systolic diameter of the aorta was measured at the junction of the left subclavian artery with the descending aorta, which was followed by insonation of the descending aorta to obtain the Doppler waveform. Following insonation of the descending aorta, measurements of the aortic diameter, velocity time integral, ejection time, mean pressure gradient, heart rate, maternal weight and height, and systolic and diastolic blood pressures were entered into an Excel spreadsheet to compute the following: (1) preload measurements of stroke volume, stroke volume index, and stroke work index; (2) afterload measurements of systemic vascular resistance and the potential-to-kinetic energy ratio; (3) contractility measurements of inotropy and the Smith-Madigan inotropy index; and (4) blood flow measurements of cardiac output and the cardiac output index. Fractional polynomial regression analysis was performed for each of the above measurements using gestational age as the independent variable. The diastolic and mean arterial blood pressure decreased from 11 to 18 weeks of gestation and then increased until term. The afterload measurements demonstrated similar characteristics, as all values decreased from 11 weeks until the mid and late second trimester, after which all values increased until term. Changes in contractility demonstrated an increase from 11 weeks to 25 to 28 weeks, followed by a decline until term. Changes in blood flow demonstrated an increase from 11 to 27 weeks and then declined until term. The continuous wave Doppler values were greater than the pulsed Doppler values except for the contractility measurements. Examples of abnormal cardiac measurements were identified in pregnant patients with hypertension and fetal growth restriction. An Excel calculator was created to provide quick computation of z-score measurements and their corresponding centiles described in this study. The technique for evaluation of maternal cardiac function described in this study would allow screening of maternal left ventricular preload, afterload, contractility, and blood flow in the obstetrical clinical milieu once a cardiac probe is acquired for obstetrical ultrasound machines used for fetal evaluation. The above measurements would allow the clinician to select appropriate hypertensive medication on the basis of the results of the evaluation of the maternal left ventricle.

The Effect of Multicultural Attitudes and Perceived Intergroup Threat on Attitudes Towards Immigrants in Portugal: A Polynomial Regression With Response Surface Analysis.

Supported by the Intergroup Threat Theory (ITT), this study analyzes the effect of multicultural ideology on attitudes towards immigrants mediated by realistic, symbolic, and zero-sum threats. With a sample of Portuguese participants (N = 404)), polynomial regression analysis with response surface methodology was used to test the effects of multicultural attitude (MA) and perceived intergroup threat (PIT) on attitudes towards immigrants (ATI). This study also tested a model in which positive MA leads to a lower PIT, and consequently to more favorable ATI. Four hypotheses were proposed; all of which were confirmed. The results further showed that the direction of discrepancy between MA and PIT can provide a more comprehensive understanding of the complex role of multicultural ideology in predicting ATI. Findings, limitations, and directions for future research are discussed.

A cross-cultural examination of the fit between expected and observed leadership behaviors and employee satisfaction: an empirical study of the expectations and satisfaction of Chinese employees toward the leadership behaviors of their expatriate supervisors

Building on person-supervisor fit and implicit leadership theories, we examined the effect of the fit between expected and observed leadership behaviors on employee satisfaction in a cross-cultural context. The data we analyzed had been collected from 237 Chinese employees who reported directly to 40 expatriate senior managers. The results of the polynomial regression analyses and response surface modeling showed that a high degree of fit was associated with a high degree of supervisor satisfaction and that such satisfaction was higher when the expected and observed leadership behaviors exhibited a high level of alignment. Our study’s theoretical contributions and practical implications are discussed.

Research on the impact of leadership empowerment behavior on task performance - Based on the moderation of employee maturity

This paper explores the impact of leadership empowerment behavior on employee task performance and the moderation of employee maturity in it, based on conservation of resources theory. By analyzing 308 valid questionnaires through polynomial regression analysis, the research shows that (1) leadership empowerment behavior has a positive impact on task performance; (2) employee maturity moderates the relationship between leadership empowerment behavior and task performance. This research constructs the influence path of leadership empowerment behavior on employee task performance, reveals the moderation of employee maturity, and provides insights into the leadership behavior practices of Chinese enterprise managements.

Predictability of Proximal Enamel Thickness Assessment using Intraoral Periapical Radiographs: A Cross-sectional Study

Introduction: Measurements of tooth crown dimensions and enamel thickness are useful guides for interproximal stripping procedures aimed at creating space. In borderline non extraction orthodontic treatment cases, interproximal stripping is performed to gain space. Intraoral periapical radiographs and bitewing radiographs are commonly used to determine Proximal Enamel Thickness (PET). Aim: To determine the predictability of using IOPA-based PET measurements for assessing real/anatomic PET. Materials and Methods: This was a single-centre, crosssectional study conducted at Saveetha Dental College and Hospital, Chennai, Tamil Nadu, India, between March 2022 and April 2022. Digital Intraoral Periapical Radiographs (IOPAs) of 40 premolar teeth with intact crown structures were obtained using the paralleling technique. The PET of both the mesial and distal sides of the same teeth was measured using Carestream Imaging software. Subsequently, the extracted teeth were sectioned and examined under a Stereomicroscope (SM), and PET measurements of the mesial and distal surfaces were obtained along the heights of contour using ImageJ analysis software. Pearson’s correlation, along with linear and polynomial regression analyses, was performed using International Business Machines (IBM) Statistical Package for Social Sciences (SPSS) software. Results: A low but significant positive correlation between the PET of the sectioned teeth and the PET measured from IOPAs was observed (p=0.002, R=0.55). A significant difference in PET between the two methods for both sides was noted (p&lt;0.05). The mean distal enamel thickness was significantly greater than the mean mesial enamel thickness for both the IOPA and SM methods (p&lt;0.05). A polynomial regression equation, Y=2.084- 1.234X+0.318X3 , was established to predict PET of the sectioned teeth (Y) based on PET measured from IOPAs (X). Conclusion: The present study establishes a correlation between the true PET of teeth measured using cut-sections and PET measured from IOPAs, which are readily available in clinical practice. A correlation coefficient was determined, and PET can be predicted using IOPAs, although not with absolute accuracy. Distal PET was found to be higher than mesial PET, with no significant difference in enamel thickness between the two sides.

Multiscale soft computing-based model of shear strength of steel fibre-reinforced concrete beams

Concrete is weak in tension, so steel fibres are added to the concrete members to increase shear capability. The shear capacity of steel fibre-reinforced concrete (SFRC) beams is crucial when building reinforced concrete structures. Creating a precise equation to determine the shear resistance of SFRC beams is challenging since many factors can influence the shear capacity of these beams. In addition, the precision available equations to predict the shear capacity are examined. The current research aims to examine the available equations and propose novel and more accurate model to predict the shear capacity of SFRC beams. An innovative evolutionary polynomial regression analysis (EPR- MOGA) is utilized to propose the new equation. The proposed equation offered improved prediction and increased accuracy compared to available equations, where it scored a lower mean absolute error (mathrm{MAE}) and root mean square error (mathrm{RMSE}), a mean (mu) close to the optimum value of 1.0 and a higher coefficient of determination ({R}^{2}) when a comparison with literature was conducted. Therefore, the new equation can be employed to assure more resilient and optimized design calculations due to their improved performance.

두 나르시시스트는 상호 배타적인가? 리더-부하 나르시시즘 (비)유사성의 효과에 관한 연구

Prior research suggests that leader narcissism can undermine important subordinate outcomes, such as subordinate behavior and performance. However, these studies have exclusively focused on leader narcissism, neglecting to consider that subordinate narcissism should also be taken into account. Based on narcissism and similarity-attraction theory, we provide an integrated perspective and predict that narcissism (dis)similarity shapes leader-subordinate dynamics. Using a multi-source and multi-wave survey, 448 leader-subordinate dyads data (from 76 teams) supported our model: Polynomial regression and response surface analyses showed that similarity predicts counterproductive work behaviors (CWBs), but this effect is asymmetrical; CWBs are lower when leader-subordinate narcissism are similar low rather than high. On the other hand, dissimilarity predicts high CWBs, and this effect is also asymmetric; this positive effect is stronger when subordinate narcissism is higher (rather than lower) than leader narcissism. Finally, these effects of (dis)similarity on CWBs were found to be moderated by high and low team performance pressures. Overall, our study suggests that narcissism (dis)similarity affects leader-subordinate dynamics and subordinate CWBs. We discuss the theoretical and practical implications of these findings for designing functional leader-subordinate dyads in organizations.

The effect of digital maturity level of workplace on perceived employee well-being as moderated by locus of control

Choices, determined by an employee's locus of control, affect their perceived well-being. But there is a lack of research that shows whether locus of control acts as a direct factor or a moderator. The aim of the research was to determine the effect of the level of digital maturity of the workplace on the perceived well-being of employees as moderated by the locus of control in the banking sector of Lithuania. The analysis and synthesis of scientific literature, as well as information interpretation and generalization were applied in the research. A survey of 232 employees of Lithuanian commercial banks was conducted. Descriptive statistics methods, significance tests, polynomial regression analysis were used for data analysis and formulation of conclusions. We found that locus of control moderates the relationship between employee perceived well-being and the salience of digital tools and the use of digital tools, although the relationship was weak. Employees with the dominance of internal locus of control believe that the importance of digital tools in their work is high and important, compared to the frequency of using these tools. Employees with an external locus of control tend to use digital tools more and feel greater psychological well-being when they use them to complete assigned tasks. Respondents with a high internal locus of control more often occupy high positions in the organisation, have subordinate employees and work with more complex digital tools. They are not concerned with the abundance or frequency of use of tools, but with the necessary functionality and capabilities. Therefore, the perceived psychological well-being of such employees is more influenced by the significance of digital tools.

Phytase Supplementation under Commercially Intensive Rearing Conditions: Impacts on Nile Tilapia Growth Performance and Nutrient Digestibility

This study evaluated the effects of phytase supplementation on growth performance and apparent digestibility of Nile tilapia (Oreochromis niloticus) in a commercial fish farm setting. Nile tilapia (6300 male, 57.48 ± 1.04 g) were randomly stocked into 42 floating cages. The experimental design was completely randomized, comprising six treatments and seven replications. Fish were fed five phosphorus deficient plant-based diets with graded levels of phytase supplementation (0, 500, 1000, 1500, 2000 UF kg-1) and an additional diet containing phosphorus supplementation to meet the requirement of this fish species (positive control). After 97 days of feeding, growth performance data were collected and 900 fish (500 ± 10 g) were relocated to 6 floating cages for the digestibility assessment. Quadratic polynomial regression analysis indicated 1537.5 and 1593.2 UF kg-1 as the optimum dietary levels for daily weight gain and feed conversion rate, respectively. Including 2000 UF kg-1 resulted in the higher dry matter, crude protein, energy, and ash apparent digestibility coefficient values. Therefore, phytase supplementation from 1500 to 2000 UF kg-1 is recommended to enhance growth performance and nutrient bioavailability of Nile tilapia reared according to industry practices.