Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Workplace Bullying on Organizational Commitment: A Structural Equation Modeling Assessment

The goal of this research was to investigate the effect of workplace bullying on organizational commitment. Also, the analysis the mediating role of self-esteem in this particular relationship and mod explores Power distance erasing function. The survey was carried out on employees and peers working in the public sector universities of Pakistan. Via convenience sampling, data was collected from 236 employees of the Public Sector Universities of Pakistan. Data was analyzed by using structural equation modeling technique in Smart-PLS3. PLS-SEM represents significant relationship as the entire proposed hypotheses were supported. Results show that bullying in the workplace has negated a strong and significant relationship with organizational commitment. The mediating role of Self-esteem between the workplace bullying relationship and organizational commitment was backed by effects as well. While the Power Distance's moderating function between the outcomes was supported by occupational bullying and organizational commitment. Accordingly, a mutually trusting ecosystem should be created and encouraged by organization; a significant buffer can be used for the efficient functioning of organizations to reduce the negative feelings and also help to increase the organizational commitment. This research is not only for education sector, it is also helpful for all sectors like Agriculture, industrial and mining sectors. This research talks about how to tackle bullying activities during work
A Secure, Flexible, and PPG-Based Biometric Scheme for Healthy IoT Using Homomorphic Random Forest

Advances in the Internet of Things, such as biosensing and camera-capturing technologies, have also resulted in biometric-based authentication approaches becoming more viable. Photoplethysmography (PPG), for example, can be leveraged to provide better biometric features for continuous authentication, in comparison to other biometrics such as fingerprint. However, the fewer morphological features in PPG signals can complicate the accurate authentication of PPG signals. Furthermore, one has to also consider transmission security and PPG template storage security. These two considerations are typically not taken into consideration in most existing PPG-based authentication schemes. Therefore, we design a secure PPG-based biometric system to achieve accurate authentication with biometric privacy protection. In our design, Homomorphic Random Forest is adopted to classify the homomorphically encrypted biometric features, thus protecting the user’s PPG biometrics from being compromised in authentication. Furthermore, beat qualification screening is set up to avoid the interference of unqualified signals, and 19 features with the least redundancy from the 541 features extracted are selected as the biometric features of the user. Doing so allows us to ensure the accuracy of authentication, as demonstrated in our evaluations using five PPG databases collected by three different collection methods (contact, remote, and monitor). In addition, our experiments adopt PPG signals acquired from remote cameras, which are not considered in other PPG-based biometric systems. The experimental results show that the average accuracy of our biometric system is 96.4%, the F1 score is 96.1%, the equal error rate is 2.14%, and the authentication time is about 0.5 s.
The mechanics of and robotic design for quadrupedal galloping

To make galloping available as a high-speed gait of quadrupedal robots, this dissertation addresses the mechanics of galloping and the design o f legged robots for rapid locomotion. A simple method of measuring an animal’s geometric and inertial properties is used to de­ velop reasonable model parameters for the animal. An impulsive model of galloping is extended to all dynamic quadrupedal gaits to show that with equal stride frequencies, gal­ loping requires smaller vertical oscillations of the mass center than trotting does at high speeds. In contrast, spring-mass models of both gaits indicate that trotting is accomplished with smaller vertical oscillations and/or lower stride frequencies at lower speeds. In con­ junction, these two results suggest that animals transition from a trot to a gallop in order to minimize their stride frequencies without experiencing large vertical displacements. For a quadruped robot to gallop in an energy-efficient manner, it must be designed to exhibit this same behavior at high speeds. The generalized inertia ellipsoid is presented as visualization tool for comparing leg designs in terms o f impact losses and energy re­ quired for leg return. BCinetostatic analysis of effective stiffness is introduced as a means of establishing leg geometry in order to match the leg stiffness of animals. This method is implemented in the design of an articulated, prototype leg which stores elastic energy in mechanical extension springs during its return phase and releases that energy as thrust during stance. Experimental results with this leg indicate that it has the performance capa­ bilities to be used in a quadruped galloping machine. To the first engineer [ ever met
A Discrete Multi-Objective Optimization Method for Hardware/Software Partitioning Problem Based on Cuckoo Search and Elite Strategy

This paper attempts to provide a desirable solution to hardware/software partitioning of the embedded system. For this purpose, the author developed a discrete multi-objective optimization method based on the cuckoo search (CS) algorithm (MODCS) and the elite strategy of stratification and congestion degree comparison. Then, the MODCS was compared with two other typical simulation algorithms. The results show that the MODCS is superior to typical optimization algorithms in terms of many indices, including diversity, stability and generational distance (GD) of optimal solution. The superiority is positively correlated with the number of modules. The findings shed new light on the bionic optimization of hardware/software partitioning.
Principal stratification : applications and extensions in clinical trials with intermediate variables

Randomized clinical trials (RCTs) are considered to be the “gold standard” in order to demonstrate a causal relationship between a treatment and an outcome because complete randomization ensures that the only difference between the two units being compared is the treatment. The intention-to-treat (ITT) comparison has long been regarded as the preferred analytic approach for RCTs. However, if there exists an “intermediate” variable between the treatment and outcome, and the analysis conditions on this intermediate, randomization will break down, and the ITT approach does not account properly for the intermediate. In this dissertation, we explore the principal stratification approach for dealing with intermediate variables, illustrate its applications in two different clinical trial settings, and extend the existing analytic approaches with respect to specific challenges in these settings. The first part of our work focuses on clinical endpoint bioequivalence (BE) studies with noncompliance and missing data. In clinical endpoint BE studies, the primary analysis for assessing equivalence between a generic and an innovator product is usually based on the observed per-protocol (PP) population (usually completers and compliers). The FDA Missing Data Working Group recently recommended using “causal estimands of primary interest. ” This PP analysis, however, is not generally causal because the observed PP is post-treatment, and conditioning on it may introduce selection bias. To date, no causal estimand has been proposed for equivalence assessment. We propose co-primary causal estimands to test equivalence by applying the principal stratification approach. We discuss and verify by simulation the causal assumptions under which the current PP estimator is unbiased for the primary principal stratum causal estimand the “Survivor Average Causal Effect” (SACE). We also propose tipping point sensitivity analysis methods to assess the robustness of the current PP estimator from the SACE estimand when
Energy harvesting from suspension system and self-powered vibration control for a seven degree of freedom vehicle model

Traditionally, a quarter-car model and a sky-hook controller are employed to derive analytical expressions that describe conditions for self-powered operation. The main contribution of this work consists in using a seven degree of freedom vehicle model to determine numerically the condition for self-powered operation of an active suspension system with electromagnetic actuators. The performance of proportional–integral–derivative, linear quadratic regulator, and fuzzy Logic suspension controllers that employ feedback information for heave, pitch, and roll motion is evaluated under self-powered operation. An objective function consisting of a weighted sum of performance measures, including root mean square values for accelerations, road holding, actuator travel, and power regeneration capability, is used to determine equivalent actuator damping values and controller gains that enhance self-powered operation. The resulting optimal designs for each control strategies are compared by means of frequency responses to evaluate their performance and power regeneration capability, as well as to determine the effect of self-powered operation on these characteristics. This investigation shows that the performance of a self-powered active suspension systems, based on heave, pitch, and roll motion information, can be optimized to approach that of an active suspension system with external power supply; the degree of degradation depends on the particular suspension controller and the design objectives that are adopted. The performance improvement compared to a suspension system designed using a quarter car model and a sky-hook controller is also presented.
Effects of EPs 7630 on the duration of inability to work in acute bronchitis – a meta-analysis

Background Acute bronchitis (AB) has an enormous economic impact through lost working time. We investigated whether treatment with Pelargonium extract EPs 7630 may reduce the time of inability to work. Methods A meta-analysis of double-blind, randomized, placebo-controlled trials with adult patients suffering from AB was performed. The average number of days of inability to work and the proportion of patients who were still unable to work after one week’s treatment were assessed. Results Four clinical trials with a total of 1,011 evaluable patients who received the marketed dosage of EPs 7630 (n=505) or placebo (n=506) for seven days were included in the meta-analysis. At baseline, 845/1,011 patients (83.6%) were unable to work. In the four trials, the proportion decreased to between 19 and 14% for EPs 7630 and to between 41 and 55% for placebo (meta-analysis risk ratio and 95% confidence interval: 0.35; 0.26-0.45; p<0.001). For the number of sick days, a weighted mean difference of 1.73 days (1.17-2.29 days; p<0.001) favoring EPs 7630 was observed. Conclusions For adults suffering from AB, this meta-analysis demonstrates that seven days’ treatment with Pelargonium sidoides extract EPs 7630 significantly reduces the average number of sick days and significantly increases the proportion of patients who are able to return to work.
Broadband Emission in a New Two-Dimensional Cd-Based Hybrid Perovskite

Organic–inorganic hybrid perovskites (OIHP) are developing rapidly as high-performance semiconductors for solid-state solar cells and light emitting devices. Recently, lead-halide two-dimensional (2D) OIHP were found to present bright broadband visible emission, thus, highlighting their potential as single component white-light (WL) emitters. This contribution deals with the preparation of a new Cd-based 2D hybrid perovskite, of the chemical formula (C6H11NH3)2CdBr4 (abbreviated as compound 1), of which structural and optical properties have been studied and analyzed. Room temperature optical absorption (OA) measurements, performed on spin-coated film of compound 1, revealed a sharp excitonic absorption peak at 3.24 eV, and a large exciton binding energy of 377 meV, estimated from low temperature OA spectrum. Upon 325 nm irradiation, compound 1 showed a very broadband WL emission consisting of one peak at 2.94 eV, attributed to exciton confined in the [CdBr4]2– inorganic layers, and a second peak at 2.53 .
Optimal energy management strategy of a hybrid electric vehicle considering engine noise

Noise emission from vehicles in urban transportation has become of interest for researchers in addition to the engine exhaust gas emissions due to its significant effect on public health. In this work, an optimal energy management strategy is proposed for a hybrid electric vehicle (HEV) by taking the effect of engine noise into account. The engine noise is calculated based on a pressure-based combustion noise model at different operating points of a 1.5 L gasoline engine. The optimal operating points of the engine are defined using the calculated engine noise from in-cylinder pressure data and experimental data of brake specific fuel consumption (FC). A modification on the electric assist control strategy is proposed to mask the engine noise below the road noise. The modified strategy is then optimized for different driving cycles. Comparison of the results demonstrates that the proposed modification not only masks the engine noise below the road noise, but also reduces the vehicle FC.
Validatie van een ontwikkelingsvaardighedenlijst voor jonge (0-5 jaar) Surinaamse kinderen

Vroege interventie is van groot belang voor kinderen met ontwikkelingsproblemen. Voor een effectieve interventie is het belangrijk dat deze interventie goed aansluit bij de ontwikkeling van een kind. Voor lage inkomenslanden, zoals Suriname, is dit een probleem, omdat de gebruikte interventiemethoden vaak ontwikkeld zijn in hoge inkomenslanden en niet volledig aansluiten bij de ecologische situatie in lage inkomenslanden en om die redenen minder valide zijn. Dit onderzoek richt zich op het aanpassen en valideren van een ontwikkelingsvaardighedenlijst, welke onderdeel is van een vroege interventie programma. Deze vaardighedenlijsten betreffen zes verschillende ontwikkelingsdomeinen, te weten cognitie, motoriek, sociale vaardigheden, zelfredzaamheid, taalbegrip en taalproductie. In totaal hebben 485 verzorgers van kinderen (in de leeftijd van 0 tot en met 5 jaar) samen met een onderzoeker de ontwikkelingsvaardighedenlijsten ingevuld. De vaardighedenlijsten bleken over het algemeen betrouwbaar te zijn voor Suriname, maar enkele vaardigheden sloten niet aan bij het Surinaamse kind. Om die reden moest de volgorde van de items in de vaardighedenlijst aangepast worden om beter aan te sluiten bij de Surinaamse ontwikkeling. De resultaten van het onderzoek bevestigen dat meetinstrumenten en interventies om afstemming vragen aan de socioculturele omstandigheden van een land en/of doelgroep.
Development of a symplectic and phase error reducing perturbation finite-difference advection scheme

ABSTRACT The aim of this work is to develop a new scheme for solving the pure advection equation. This scheme formulated within the perturbation finite-difference context not only conserves symplecticity but also preserves the numerical dispersion relation equation. The employed symplectic integrator of second-order accuracy in time enables calculation of a long-time accurate solution in the sense that the Hamiltonian is conserved at all times. The generalized high-order spatially accurate perturbation difference scheme optimizes numerical phase accuracy through the minimization of the difference between the numerical and exact dispersion relation equations. Our proposed new class of phase error reducing perturbation difference schemes can in addition locally capture discontinuities underlying the concept of applying a shope/flux limiter. The high-order spatial accuracy can be recovered in a smooth region. Besides the Fourier analysis of the discretization errors, anisotropy and dispersion analyses are both conducted on the dispersion-relation and symplecticity-preserving pure advection scheme to shed light on the distinguished nature of the proposed scheme. Numerical tests are carried out and the results compare well with the exact solutions, demonstrating the efficiency, accuracy, and the discontinuity-resolving ability using the proposed class of high-resolution perturbation finite-difference schemes.
Numerical Analysis of a Convective Drying Chamber from Drying AirVelocity and Temperature Perspective

The drying industry has been growing considerably due to the great demand to have non-perishable food. Convective drying is one of the most popular equipment on drying industry (food, chemical, pharmaceutical, etc.). One of the drawbacks of this equipment when it is used for convective drying, is the non-uniformity in the final product quality. This study presents the development of a mathematical model trough Computational Fluids Dynamics (CFD). The drying chamber of a heat pump dryer is assessed from a drying air velocity and temperature profiles perspective. The model was developed solving different transport phenomena related equations. The established procedure was set up with the aim of evaluating the distribution of drying air velocity and temperature on the drying chamber to define the need of redesigning it. The profile results of the air velocity and the temperature show that, in fact there is a need to redesign the chamber. Only trays 2, 3, and 4 are the ones that could achieve the drying of the products. The proposed solution is to implement air distributors or to modify the tray positioning to make the distribution of the drying air and temperature homegeneous.
DETERMINANTS OF YOUNG MALAYSIAN ADULTS’ FAST FOOD PURCHASING INTENTION

This paper extended the theory of planned behaviour model to fast food buying scenario among young Malaysian adults. Several factors constituted to the development and maintenance of attitude were tested and the influences of attitude, subjective norm and perceived behaviour control on purchase intention were further examined. A total of 210 valid responses were used. Malaysian young adults were found to stress more on the convenience aspect in forming their attitude while relying more on affective attitude to form buying intention. The impact of mood on attitude was introduced and the findings indicated that mood has significant impacts on both affective and cognitive attitudes. Both descriptive norm and injunctive norm were significance to purchase intention implying the influences of social approval and acceptance in fast food buying. Even though the influence of perceived control was weak, self-efficacy was strong in predicting fast food purchasing intention. The findings help marketing practitioners and academicians in planning for more effective societal marketing strategies to promote a healthy diet among young adults.
Development of surface plasmon resonance (SPR) biosensors for use in the diagnostics of malignant and infectious diseases

Surface plasmon resonance (SPR) has become an important optical biosensing technology due to its real-time, label-free, and noninvasive nature. These techniques allow for rapid and ultra-sensitive detection of biological analytes, with applications in medical diagnostics, environmental monitoring, and agriculture. SPR is widely used in the detection of biomolecular interactions, and improvements are required for both sensitivity and in vivo uses for practical applications. In this study, we developed an SPR biosensor to provide a highly sensitive and specific approach to early-stage detection of viral and malignant diseases, such as cancer tumors, for which biomarker detection is very important. A cancer cell line (HeLa cells) with biomarker Rodamine 6G was experimentally analyzed in vitro with our constructed SPR biosensor. It was observed that the biosensor can offer a potentially powerful solution for tumor screening with dominant angular shift. The angular shift for both regents is dominant with a time curve at a wavelength of 632.8 nm of a He–Ne laser. We have successfully captured and detected a biomarker in vitro for cancer diagnostics using the developed instrument.
Comparison of the Velocity and Power Parameters during Loaded-Squat Jump Exercise of National Athletes in Different Branches*.

The aim of this investigation is to compare velocity and power variables during loaded-squat jump (SJ Loaded ) exercise of national athletes dealing with different sports branches and to identify whether velocity and power parameters become different or not according to branches. In accordance with this purpose, a total of 36 national athletes (age: 20.3±1.68 years; height: 173.5±6.46 cm; weight: 72.3±10.29 kg) composed of 12 wrestlers (age: 19.5±.90 years; height: 172.3±6.19 cm; weight: 75.5±13.9 kg), 12 arm wrestlers (age: 20.5±2.02 years; height: 174.7±4.76 cm; weight: 72.6±8.31 kg) and 12 kickboxers (age: 20.7±1.81 years; height: 173.5±8.29 cm; weight: 68.9±6.94 kg) dealing with different sports branches have voluntarily participated in this study. For identifying velocity and power parameters, SJ Loaded exercise was executed with an external load that corresponds to 40% of body weights of the athletes by utilizing an isoinertial velocity transducer (T-Force dynamic measurement system) and values of mean velocity (MV), mean propulsive velocity (MPV), peak velocity (PV), mean power (MP), mean propulsive power (MPP) and peak power (PP) were determined. All data analyzes were performed in the SPSS 16.0 statistical program. Firstly, in order to analyze data, it was determined that the data indicated normal distribution by looking at the Shapiro-Wilk coefficient regarding the normality of the distribution of the data. Therefore one-way analysis of variance (One-way ANOVA) was utilized to identify statistical significant differences among athletes competing in different branches with regard to the velocity and power variables during the SJ Loaded exercise. According to analyze results, no statistical significant difference wasn’t seen among branches with regard to MV [f (2.33) = 1.306], MPV [f (2. 33)=2.195], PV [f (2. 33)=2.242], MP [f (2. 33)=1.225], MPP [f (2. 33)=2.787] and PP [f (2. 33)= 2.607] parameters during SJ Loaded exercise (p>0.05). The velocity and power parameters obtained in the SJ Loaded exercise don’t differ according to the branches.