Miracle-dz/UniFAR-FTUs huggingface dataset:
A Link Between Human Resource Management Practices and Customer Satisfaction: A Moderated Mediation Model

This study attempts to investigate the linkage of human resources management practices with customer satisfaction through intervening role of employee job satisfaction. The study also examined the moderating role of procedural justice between human resource management practices and job satisfaction. A conceptual model with four hypotheses was developed and two-source field data were collected from paramedical staff members and patients (n= 228, dyads) working in the health care sector of Pakistan. Results indicate that full mediation where job satisfaction fully mediates between human resource management practices and customer satisfaction. Furthermore, moderated regression analysis also proved the significant moderating role of procedural justice between human resource practices and job satisfaction. The findings of the study provide useful insights to evaluate and improve human resource management practices for the wellbeing of the employees and to enhance the customer satisfaction.
Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network

This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-scale rail-transit planning and construction in Hangzhou. The six-dimensional data of morning peak/evening peak average speed, average speed at peak, average station distance, proportion of dedicated lanes, and nonlinear coefficients were selected as input data for the neural network to output the operating speed grade of bus lines. Improving and optimizing the membership function of the Takagi–Sugeno (T-S) model improves its predicted result accuracy compared to a traditional T-S model. The line data of 28 typical trunk lines or expressways in Hangzhou were used as an example; the results demonstrate that the speed grade evaluation method based on an improved T-S fuzzy neural network can effectively and quickly evaluate the speed grade of Hangzhou public-transportation lines. This paper presents a novel analysis and method for large-scale rail-transit planning and evaluation of urban public-transport lines. The aim is to provide practical instruction for the subsequent optimization of public-transportation lines in Hangzhou.
Physical fitness and conditioning in badminton school matches: a comparison between modalities and sexes

ABSTRACT The aim of the present study was to examine physical fitness and conditioning external workload depending on different badminton modalities (badminton (BAD) and mini badminton (BADMini)) and sex. Twenty-eight scholar-age children (16 boys and 12 girls) participated in a two days congested-fixture tournament (84 matches), and external training load was quantified using six antennae ultra-wideband technology. The results showed that different badminton modalities (BAD and BADMini) induce different external workloads. In addition, sex-related differences were found in both modalities. In conclusion, the differences found between both BAD modalities (BAD and BADMini) make suitable the use of space restriction to adapt BAD to scholar badminton players, allowing a walk among elite players and young players. Moreover, sex-related differences found in both modalities demonstrate that the coaches should make individualised training programmes. The quantification of external training load reported would be helpful to provide badminton academy coaches to prepare specific near competition programmes such as tournaments.
Retention Rate Enhancement of Antioxidant and Cyaniding 3-O-Glucoside Components of the Reconstituted Product from Spray-Dried Black Raspberry Juice by Optimizing Process Parameters

The effects of four operating parameters involved in the spray-drying process, including air inlet temperature (120–150°C), air flow rate (3.5–5.0 m3/h), feed flow rate (2–10 mL/min), and aspirator rate (50–70 m3/h), to produce black raspberry juice powders with the highest retention rate of healthy functional components were optimized using a response surface design. Second-order polynomial models with high R 2 (0.955–0.972) values were developed using multiple linear regression analysis. Results showed that the most significant (p < 0.05) process conditions that affected the antioxidant activity and cyanidin-3-O-glucoside content (C3GLU) of powders respectively were the quadratic effects of air inlet temperature and air flow rate and quadratic terms of air and feed flow rates. Laser diffraction particle size analysis and scanning electron microscopy were used to relate the microstructure and quality features. The lowest EC50 (0.0060 mL juice/g 1,1-diphenyl-2-picrylhydrazyl [DPPH]) and the highest C3GLU (4.721 mg/100 mL) values were achieved at an inlet temperature of 120.0°C, air flow rate of 4.20 m3/h, feed flow rate of 8.65 mL/min, and aspirator rate of 55.87 m3/h.
Viscosity model for pure liquids based on Eyring theory and cubic EOS

Based on the two-parameter model of Lei et al., the purpose of this study is three fold. The first purpose is to make use of a well-known cubic equation of state to calculate all of the thermodynamic properties required in the model, thus enabling the simultaneous calculation of vapor-liquid equilibria and saturated liquid viscosity. The second purpose is to improve the correlation of liquid viscosity over a wider temperature range by modifying the functionality between the activation energy and the internal energy of vaporization, and, the third purpose is to extend the use of the model to the calculation of compressed liquid viscosities (at pressure larger than the saturation point).
Identification of Economically Viable Cropping Systems for Vertisols of Northern Telangana Zone

A field experiment was conducted during 2016-17 at AICRP on Integrated Farming Systems, Regional Sugarcane and Rice Research Station, Rudrur to diversify existing rice-rice cropping system with less water requiring crops under irrigated dry conditions for vertisols of Northern Telangana Zone. The experiment was laid out with twelve cropping systems as treatments in Randomized Block Design (RBD) with three replications. The twelve combinations of cropping systems tested during kharif and rabi seasons were rice – rice (check), maize + soybean (2:4) – tomato, maize + soybean (2:4) rice, maize sunflower + chickpea (2:4), maize chickpea, Bt cotton + soybean (1:2) on broadbed – sesame + groundnut (2:4), Bt cotton sesame + blackgram (2:4), soybean – wheat, soybean – sunflower + chickpea (2:4), turmeric – sesame, turmeric + soybean (1:2) on flat bed – bajra and turmeric + soybean (1:2) on broadbed – sesame + blackgram (2:4). On system basis, significantly higher productivity in terms of rice equivalent yield (REY) of 23830 kg ha was recorded with turmeric+soybean (1:2) BBF– sesame+blackgram (2:4) turmeric – Original Research Article Shahana et al.; CJAST, 39(34): 98-106, 2020; Article no.CJAST. 61493 99 sesame cropping sequence. However it was on par with turmeric – sesame and turmeric + soybean (1:2) on flat bed – bajra crop sequence with productivity of 23332 kg ha -1 and 21389 kg ha -1 respectively. Lower productivity was recorded with rice-rice cropping system (10725 kg ha -1 ). Significantly higher system net returns were recorded with Bt. cotton – sesame + black gram (2:4) on BBF (Rs222838 ha -1 ) closely followed by Bt Cotton + Soybean (1:2) (BBF) Sesamum + Groundnut (2:4) (Rs221160 ha) and Maize+soybean (2:4)–tomato (Rs212909 ha). Lower system net returns were recorded in conventional rice-rice system (Rs88179 ha -1 ). Bt. cotton – sesame + black gram (2:4) and Bt Cotton + Soybean (1:2) (BBF)Sesamum + Groundnut ((2:4) and Maize+soybean (2:4)–tomato were economically superior with REE of 152.71%, 150.81% and 141.45%. RiceRice cropping adopted by majority of farmers is less productive and economically inferior indicating wider scope of diversifying existing ricerice cropping system with high productive, economically viable cropping systems in vertisols of Northern Telangana Zone.
Evaluating the effect of ecological and anthropogenic variables on site use by sympatric large carnivores in Gir protected area, Gujarat, India

Habitat destruction is one of the major causes of large carnivore decline worldwide. The present study assesses the ecological and anthropogenic determinants of site use by leopard and lion in the Gir forest. Data on leopard and lion site use was collected through camera traps and modeled using prey availability, proximity to water, woody cover, proximity to human habitation and grazing intensity as the predictor variable. A generalized linear model was used to find the effect of a predictor variable on leopard and lion site use intensity. Leopard site use intensity was positively associated with chital, nilgai, and sambar availability, and grazing intensity while negatively associated with proximity to water. Lion site use intensity was positively associated with nilgai availability, woody cover and grazing intensity while negatively associated with sambar availability, and proximity to water. The present study indicated that habitat might have a substantial role in determining prey–predator spatial relationships. Also, humans provide resources such as artificial water holes could potentially affect the distribution of both the predators in our study area. The present study could be useful while making management decisions in Gir.
A Meta-Analysis Study on The Effect of Software Education on Computational Thinking

The main purpose of this study is to determine the effect of software education on elementary students' computational thinking. In this study, the meta-analysis method was employed which examined 24 studies conducted by year 2020 and have met the inclusion criteria. The types of software, group age, group size, and number of treatments were determined as moderating variables. An analysis based on a random effect model showed that the mean effect size value was calculated as 0.606 with an error of 0.08. It was also determined that there was no publication bias in the meta-analysis. According to the results of the moderator analysis, it was found that the effect of software on computational thinking of the students did not change according to the types of software education and group age, but it changed according to the group size and the number of software educational treatments. The effect size on computational thinking was high in small group(less than 6 students) and large group(more than 31 students who encouraged peer study). In addition, the number of treatments was 21 or more, the effect size was the highest.
Chitosan-drug encapsulation as a potential candidate for COVID-19 drug delivery systems: A review

Since the outbreak of COVID-19, the World Health Organization (WHO), Centre for Disease Control (CDC), and other health organizations around the world have coordinated the flow of information and given out preventive directives measures and guidelines to reduce the impact and spread of the disease. Meanwhile, bodies of scientists and researchers around the world are still working ceaselessly to study the virus, mode of transmission mechanisms, and are rapidly developing therapeutic antiviral drugs and vaccines. Thus, the urgent need for the fabrication of biocompatible and biodegradable composite materials as drug delivery vehicles for the efficient loading, targeted delivery and controlled release of antiviral drugs to the target site is been inspired. Therefore, this review highlights the antimicrobial and antiviral activities of chitosan as well as the potency of a combined therapy via electrostatic/hydrogen bonding encapsulation onto the WHO suggested clinical trial drugs and possible chelation with metal ions to form new improved antiviral compounds as a promising agent for the targeted drug delivery.
On Evolution of Some Associated Type Ruled Surfaces

In this study, we define three new type ruled surfaces obtained by using the evolution of involute-evolute curve pair in Euclidean 3-space. Then, we give some nice results for the Gaussian curvature and the mean curvature of these surfaces. Moreover, considering the given involute-evolute curve pair, the graphics of these new type surfaces were drawn with the help of Mathematica.
TAILORING THE NANOPARTICLES SURFACE FOR EFFICIENT CANCER THERAPEUTICS DELIVERY

Nanotechnology has tremendous advantages in many areas of scientific as well as clinical research. The development of nanoparticles (NPs) that can efficiently deliver drugs specifically to the cancer cells can help reduce normal cells toxicity and co-morbidities. Cancer can be treated by exploiting the unique physiochemical of the NPs, and modulating their surface modifications using ligands which further could be used as drug cargo vehicles. To enhance biocompatibility and drug delivery towards the target site, various modifications can be included to modify the surface of the NPs, such as carbohydrates, dendrimers, DNA, RNA, siRNA, drugs, and other ligands. These ligand-coated NPs have potential applications in the field of biomedical research, including diagnosis, contrast agents for molecular and clinical imaging (Magnetic Resonance Imaging (MRI), Computed tomography (CT), positron emission tomography (PET)), as cargo vehicles for drugs, increasing the blood circulation half-life, and blood detoxification. Further, the conjugation of anti-cancer drugs to the NPs can be efficiently used to target the cancer disease. This review highlights some of the features and surface modification strategies of the NPs, such as an iron oxide (IO), liposomes (LP)-based NPs, and polymer-based NPs, which show their effectiveness as cargo agents for cancer therapeutics.
Acoustic-driven Oscillations of a Bubble in a Narrow Gap

The complex interaction of an acoustic cavitation bubble with a boundary is widely exploited in practical applications. In ultrasonic cleaning, acoustic cavitation is used to eliminate surface contamination and particulate debris following manufacturing. However, very little is known about the fundamental physics behind such processes. Furthermore, bubble collapse in the presence of two or more boundaries is considerably different than the traditional problem of collapse near a single rigid wall. In this study, we combine the complex pressure-driven dynamics of acoustic cavitation in confinement. We focus on the dynamics and jet development of an oscillating gas bubble (R0 = 50 μm) driven by a strong low-frequency acoustic field (pac = 95 kPa and fac = 20 kHz). Since inertial oscillations are responsible for most of the practical effects of acoustic cavitation, we select an acoustic driving frequency lower than the natural frequency of the bubble to demonstrate the transient response. We present results from compressible volume-of-fluid simulations with consideration of viscosity and surface tension conducted in the open-source framework of OpenFOAM. We find that the presence of a secondary opposing wall intensifies the jet velocities at collapse. We provide a detailed description of the flow inside the gap, particularly the complex interaction between flow deflected by the confining boundaries and the oscillatory driving pressure. By varying the gap height and the position of bubble inception, we observe significantly different bubble collapse dynamics across the considered parameter space, which can be categorised in three distinct jetting regimes according to relevant nondimensional parameters. We also demonstrate how an increased liquid viscosity alters the collapse mechanism and jet formation through a representative case. The results presented in this study have immediate consequences in acoustic cavitation applications involving confinement, since through careful choice of driving conditions and fluid properties, the desired behaviour to suit the application can be achieved.
Knowledge spillovers between universities and companies of low-density territories

ABSTRACT This work aimed to examine and compare the role of three universities, inserted in low-density territories, in the co-creation of knowledge as well as the mechanisms used in its transfer to the business sector. Interviews were conducted with individuals in charge of innovation in the rectories of three Portuguese universities in low-density regions, as well as the heads of these organisations’ Industrial Liaison Offices. All three universities have strong links to the business community. This exchange also includes cost-sharing since the vast majority of research carried out in partnerships depends on funding from both National and European Community funds. The relations established between universities and companies are clearly a source of economic development in the regions, as companies lack the human or financial resources to develop innovative solutions. This study contributes to the existing empirical knowledge about how universities in low-density areas promote knowledge spillovers through research projects involving the business community.
Trip Purpose Imputation Using GPS Trajectories with Machine Learning

We studied trip purpose imputation using data mining and machine learning techniques based on a dataset of GPS-based trajectories gathered in Switzerland. With a large number of labeled activities in eight categories, we explored location information using hierarchical clustering and achieved a classification accuracy of 86.7% using a random forest approach as a baseline. The contribution of this study is summarized below. Firstly, using information from GPS trajectories exclusively without personal information shows a negligible decrease in accuracy (0.9%), which indicates the good performance of our data mining steps and the wide applicability of our imputation scheme in case of limited information availability. Secondly, the dependence of model performance on the geographical location, the number of participants, and the duration of the survey is investigated to provide a reference when comparing classification accuracy. Furthermore, we show the ensemble filter to be an excellent tool in this research field not only because of the increased accuracy (93.6%), especially for minority classes, but also the reduced uncertainties in blindly trusting the labeling of activities by participants, which is vulnerable to class noise due to the large survey response burden. Finally, the trip purpose derivation accuracy across participants reaches 74.8%, which is significant and suggests the possibility of effectively applying a model trained on GPS trajectories of a small subset of citizens to a larger GPS trajectory sample.
Acute Response Moderate Intensity Treadmill Training On Decrease Malondialdehyde In Obesity Women

Obesity is often associated with increased oxidative stress. Malondialdehyde (MDA) is the final product of fat peroxidation that can be used as a biological bio maker of fat peroxidation and it is used to describe the degree of oxidative stress. This study aims to analyze the acute response of moderate intensity treadmill exercise to a decrease in MDA levels in obese women. This study used a true experiment research method with the randomized control group design posttest-only design using 21 obese women and randomly divided into three groups, namely K1 (n=7, control without intervention), K2 (n=7, moderate intensity interval training) and K3 (n=7, moderate intensity continuous training). The intervention was carried out at 07.00-10.00 a.m. Moderate intensity interval training interventions were carried out for 45 minutes, whereas moderate intensity continuous training were carried out for 40 minutes. Blood samples were taken 10 minutes after the intervention. MDA levels were measured using the Thiobarbituric Acid Reactive substance (TBARs) method. Data analysis techniques using ANOVA test and LSD post hoc test with the Statistical Package for Social Science (SPSS). The results were obtained at K1 (811.286±72.539) ng/mL, K2 (615.571±96.855) ng/mL, K3 (658.429±113.934) ng/mL and (p=0.003). Based on the results of the study, it was concluded that the acute response of moderate intensity interval training significantly reduced MDA levels compared to moderate intensity continuous and control in obese women.
Short-Term Nitrogen Leaching Potential Of Fresh and Composted Beef Cattle Manure Applied to Disturbed Soil Cores

Although fresh beef cattle (Bos taurus) manure has traditionally been applied to cropland in southern Alberta, there has been a recent increase in application of composted manure to cropland in this region. Nitrogen leaching from fresh manure (FM) versus composted (CM) beef cattle manure application has not been investigated in this region. Our objective was to compare short-term (# 23 d) N leaching potential of NO3 -N and NH4 -N under increasing rates (0, 13, 39, 77 Mg ha−1 dry wt.) of FM and CM applied to a clay loam soil under uniform soil and simulated environmental conditions. Amendments were applied and incorporated into repacked 15-cm soil (surface Ah horizon) cores, incubated for 15 d, and then leached under constant-head and saturated conditions in the laboratory. An unamended control (CON) was also used. Leaching potential of NO3-N and NH4-N depended on how the N leaching variable was expressed: peak concentration vs flow-weighted mean concentration (FWMC) vs mass loss vs recovery in leachate. Peak concentrations of NO3-N were at least 90% greater for CM (125.8 mg L−1) than FM (66.3 mg L−1) and the CON (60.5 mg L−1) treatments. The FWMC of NO3-N was significantly (P # 0.05) greater for CM (21.0 mg L1) than FM (16.3 mg L−1). Recovery of NO3-N in leachate as a percentage of total N applied was significantly greater for CM (4.7%) than FM (0.8%). Peak concentrations of NH4-N, FWMC of NH4-N, mass loss of NO3 and NH4, and recovery of NH4, were similar between FM and CM. These results suggest that short-term N leaching potential of CM was greater than FM for peak concentration, FWMC, and recovery of NO3-N.
Impacts of the Real and Imaginary Components of Relative Permittivity on Time Domain Reflectometry Measurements in Soils

Time domain reflectometry (TDR) is widely used for routine field monitoring of water content and salts in soils. Most estimates of water content assume the TDR-measured apparent relative permittivity, e a , is a good approximation for the real component, e τ ', of the soil's complex relative permittivity with the magnitude of e τ ' being determined primarily by water content. We examine this assumption and show that e a is influenced by both the real and imaginary components of the relative permittivity. Increases in e a resulted from the de conductivity and dielectric loss arising from the presence of ions in solution and clay content. At water contents above 0.15 m 3 m -3 in soils with high clay content and/or salt, specific calibrations are needed for precise determinations of water content from TDR. We use the wave propagation equations to separate the real and imaginary component contributions to e a . The Giese and Tiemann interpretation for de conductivity was again shown to he within 10% of that from a conductance meter and this fact was used to propose a method using only TDR data to separate real and imaginary components of the relative permittivity. It was found that the dielectric losses and conductive losses did not differ according to the source of conductivity, whether from clay content in the soil matrix or electrolyte in the soil solution.