Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Social Loafing Perception to Workers' Feelings of Burnout in Organisations*

This study seeks to use the concept of Data Envelopment Analysis for setting benchmarks of efficiency using two inputs and two outputs. In the process , the study h ighl ights the inherent contradictions in the application. In case of deficient divisions, instead of increasing the inputs to better the output, the DEA analysis recommends reducing the inputs. Design / Methodology / Approach: Cross-sectional study of data is used for analysis of the performance of the various divisions in NMIMS. Findings: Data Envelopment Analysis (DEA) is a wonderful method for benchmarking and enhancing productivity of services. As services are entirely different from products, concepts like productivity cannot be applied without modifications. Further, services being customer-centric characterised by customer participation, simultaneity, perishability, intangibility, and hetereogeneity, the concept of an 'absolute' benchmark is also not feasible. With the input and output metrics being ill-defined,setting milestones and targets for improvement become difficult. DEA technique uses the concept of 'relative' benchmark and also provides sufficient directions for improvement. Practical Implications: In the Indian context, these concepts become very relevent because in the present state of evolution of services, we have much to improvise. Further, India being a geographical expanse with wide variation in customer preferences, expectations and preceptions, the process of improvement of services becomes more complex. At present, the demand for services exceeds supply and hence, the need for competitiveness is not felt. In the near future when the performance metrics of services becomes an important criteria for business success, the role of DEA will be crucial for productivity improvements and in deciding the viability of service outlets. Originality / Value: This DEA analysis in the Indian higher education context is one of the few analyses that demonstrate the utility of the DEA technique, its limitations and its role in qualitative aspects of services benchmarking. DEA analysis is applied in the context of linear relationships of inputs and outputs with the focus on controlling the inputs rather than focusing on output performance. The outputs in terms of performance are more difficult to manage whereas the inputs are comparitively easy to manage.
Performance Comparison of GPS Fault Detection and Isolation via Pseudorange Prediction Model based Test Statistics

Fault detection and isolation (FDI) algorithms provide fault monitoring methods in GPS measurement to isolate abnormal signals from the GPS satellites or the acquired signal in receiver. In order to monitor the occurred faults, FDI generates test statistics and decides the case that is beyond a designed threshold as a fault. For such problem of fault detection and isolation, this paper presents and evaluates position domain integrity monitoring methods by formulating various pseudorange prediction methods and investigating the resulting test statistics. In particular, precise measurements like carrier phase and Doppler rate are employed under the assumption of fault free carrier signal. The presented position domain algorithm contains the following process; first a common pseudorange prediction formula is defined with the proposed variations in pseudorange differential update. Next, a threshold computation is proposed with the test statistics distribution considering the elevation angle. Then, by examining the test statistics, fault detection and isolation is done for each satellite channel. To verify the performance, simulations using the presented fault detection methods are done for an ideal and real fault case, respectively.
READINESS AND CHALLENGES OF USING INFORMATION AND COMMUNICATIONS TECHNOLOGY (ICT) IN HIGHER EDUCATION OF BANGLADESH

Integration of ICT in Education especially in higher education is the demand of time at present as ICT is being used in many other sectors all over the world. Regarding this Government of Bangladesh is working for using ICT and implementing the Digital Bangladesh. This study was conducted to explore the use of ICT in Higher Education of Bangladesh both in academic and administrative sector. Data was collected by interviewing the teachers, questioning the staff, Focus Group Discussion (FGD) with the students and by observing the classrooms of universities and colleges. Data revealed that, each and every institution was facing the infrastructural problems in using ICT such as lack of ICT equipment, lack of manpower, lack of training and so on. Students were more interested about ICT integration in Education than the teachers and staff. Recommendations have been made based on the findings emerged from the collected data and analysis that ICT facilities need to provide in classroom for teaching-learning activities and ICT based service system should be developed and practiced in administrative and academic purposes. It was concluded that teachers remain crucial importance for continuing the improvement of quality education. Given this importance, the study then focused on ICT training on multimedia classroom management and professional development of the teachers and staff.
HAPTIC AND AUDITORY INTERFACES AS A COLLISION AVOIDANCE TECHNIQUE DURING ROADWAY DEPARTURES AND DRIVER PERCEPTION OF THESE MODALITIES

Roadway departure fatalities accounted for 55 percent of all roadway fatalities in the United States in 2003. In an effort to reduce the number of roadway departures, many transportation agencies have introduced static rumble strips using physical alterations of the roadway surface in shoulder and/or centerline sections of the roadway. Recently, more advanced technology has been developed in the form of in-vehicle advanced lane departure warning systems that automatically detect the vehicle’s lane position and warn of possible roadway departures. These systems are currently showing their value in some commercial trucks in Europe, and are now available in some U.S. passenger cars. Two critical factors will govern their ultimate success; (1) their ability to warn the driver in an effective and timely manner to make the correct action, and (2) their success in gaining driver trust and acceptance. The primary goal of this research was to better understand basic human factors principles of haptic and auditory interfaces as a collision avoidance technique during run-off-road and head-on collisions and driver perception of these modalities. In this simulator study, fifteen participants received alerting cues in three sensory modalities; haptic (seat vibration), auditory (“rumble strip” sound), and combined auditory and haptic sensory warnings. A preliminary psychophysical study was conducted to determine appropriate and comparable intensities of the warning modalities. The results of this study determined that the haptic modality produced significantly faster reaction times than both the auditory and combination modalities. The auditory modality produced significantly more maximum steering response than the haptic and combination condition. Drivers perceived the haptic modality to be the least annoying with least interference, while the combination modality was the most preferred in benefit of driving, most likely to purchase, level of trust, level of appropriateness, level of urgency, and overall preference. Haptic (seat vibration) warnings demonstrate promise as an alerting strategy over auditory and combination modalities in reducing roadway departures. With a decrease in reaction time, less erratic steering responses, and relatively advantageous perceptions from drivers, haptic warnings have the potential to better assist drivers in returning to the lane more quickly and safely.
Commercial Credit Financing and Stock Price Crash Risk---From the Perspective of Debt Governance Effect

Using a sample of A--share listed firms in China for the period 2003--2014,our paper investigates the relationship between trade credit and stock price crash risk. The study finds, trade credit can decrease stock price crash risk significantly in the following year. Our result suggests the trade credit suppliers perform a beneficial role in the corporate governance of China’s listed firms. In the robustness test, with taking into account the endogenous problems and the influence of the time window of the stock price crash, the conclusions are consistent with the above. This paper extends the study of the risk factors of stock price crash, and deepens the understanding of commercial credit financing.
Impact of individual psychological contract breach on organizational citizenship behavior at individual level: Mediating role of trust in supervisor

This study investigates the relationship between individual psychological contract breach on organizational citizenship behavior at individual level and to test the mediation effects of trust in supervisor. The study was carried out in software industry of KPK, Pakistan. Data was gathered from 337 operational level executive (i.e. executive, assistant manager, manager) through randomly selected sampling method. Numerous statistical techniques (correlation, regression) had been used to deduct the results. Results indicate that individual psychological contract breach significantly predicts organizational citizenship behavior at individual level and with trust in supervisor and fully mediates the indirect relationship between individual psychological contract breach and organizational citizenship behavior at individual level. This research also provides the empirical evidence regarding significance of individual psychological contract grounded on social exchange and affective events theory in the context of KPK, Pakistan. Lastly, contribution of study, limitations and future directions are also discussed.
RECOGNIZING DEFECTS IN FUSED FILAMENT FABRICATED PARTS: A COMPUTER VISION BASED APPROACH

Fused filament fabrication (FFF) is becoming an increasingly popular additive manufacturing process that has found its place in industrial and home settings alike. However, FFF involves multiple process parameters that influence the final quality of the part being fabricated. Defects such as missed layers, shifted layers as well as overfill and underfill can occur if these parameters are not optimized. Thus, it is important to detect such defects as early as possible to prevent potential wastage. Current defect detection algorithm falls into two broad categories, sensor-based and vision-based defect detection. These methods are either complex, cost-prohibitive or a combination of both with the solution often costing many times more than the actual machine. Therefore the aim of this research is to propose a cost-effective and computationally efficient algorithm in defect detection of fused filament fabricated parts. This research follows an experimental approach. A vision-based defect detection framework is presented employing an integrated approach in the detection of error conditions. The first part utilizes a structural approach to detect missed layers and shifted layers defects. The second approach employs machine learning specifically a convolutional neural network to detect normal, underfill and overfill conditions. These two approaches are evaluated using a synthetic dataset generated by manipulating the process parameters of the FFF machine with promising results. Additionally, computational efficiency and cost-effectiveness of the algorithm are validated and serves to provide a practical dimension to this research.
Incidence report of traumatic brain injury in Mimika Public Hospital Papua

Open access: http://isainsmedis.id/ Incidence report of traumatic brain injury in Mimika Public Hospital Papua Kevin Kristian Putra1,4*, Putu Ayu Indra Shanti Wardani2, I Wayan Niryana3 Introduction: Traumatic brain injury is a functional brain disorder caused by an external force, which giving persistent consequences, progressive, long-term care, and rehabilitation might be needed. It is also called a “silent epidemic” due to the increased global incidence rate, socio-economic burden, and quality of life. The major cause of TBI was road traffic injury, fall, and blunt
Robust supervisory control for avoiding deadlocks in automated manufacturing systems with one specified unreliable resource

The design of supervisory controllers to resolve any deadlock issue in automated manufacturing systems (AMSs) has attracted the efforts of many researchers. A great deal of work, which assumes that allocated resources do not fail, has been done, while only a few works pay attention to the existence of unreliable resources in AMSs. In this paper, we focus on the robust supervisory control for avoiding deadlocks in AMSs, each of which has one specified unreliable resource. We develop a robust supervisory control policy under which the system can continue producing without manual intervention in the face of the unreliable resource’s failure and recovery. Our policy consists of a modified Banker’s Algorithm and the available resource constraints. After proving the correctness of our policy, we show that there are more reachable states under our policy than the existing one. Therefore, our policy imposes less restrictive constraints on the system and is more permissive than the original one. Finally, an example is provided to illustrate our control policy’s advantage in permissiveness.
New hybrid structure for multilevel inverter with fewer number of components for high-voltage levels

Application of multilevel inverters for higher voltage goals in industries has become more popular. In this study, new structures for symmetric, asymmetric and hybrid multilevel inverter are recommended. The proposed hybrid structure is used in high-voltage levels. The proposed structures can generate a great number of output voltage levels with minimum number of power electronic components such as insulated gate bipolar transistors (IGBTs) and gate drivers. For proposed asymmetric and hybrid inverter, new methods for determination of dc voltage sources values are presented. Comparison of the results of various multilevel inverters is presented to reflect the merits of the recommended structures. The operations of the proposed multilevel inverter structures are verified with the experimental and simulation results of an asymmetric 15-level prototype and a 19-level hybrid inverter. Fundamental frequency-switching method is applied to the new topologies to trigger the power switches for controlling the voltage levels generated on the output. Verification of the analytical results is performed using MATLAB/SIMULINK software.
Online Lectures Student Satisfaction During the Covid 19 Pandemic

The Covid-19 pandemic has caused an instantaneous change in human behaviours, including those related to learning communication. Face-to-face lectures are replaced with online lectures using all available platforms. This change raises the question of whether online lectures can meet the needs of students, and generate satisfaction. Data was collected using a survey method which was distributed online. Data analysis includes descriptive statistics that are used to determine the level of student satisfaction with the implementation of online lectures. The results showed that in general, student satisfaction with the implementation of online lectures was high. However, satisfaction is low on the student motivation component.
An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing

In high diversity, Just In Time production environments, mixed-model assembly lines aim at producing a large amount of end products that use alternative variants of components used in the assembly process. Therefore, the availability of parts required at the border of the assembly line is critical for the production process. To ensure the availability of parts needed on the line, three line feeding modes are commonly used in practice: line stocking, kitting and sequencing. The relative performance of each mode, in terms of average total operating cost, depends on various factors such as the diversity of components, parts’ physical features (i.e. weight and volume), to name a few. The impact of such parameters on the performance of line feeding modes remains still weakly studied in the literature. Through an empirical approach based on a real case, our study aims at evaluating the average total cost pertaining to each mode. The total cost includes parts preparation before assembly, picking, in-plant transportation and storage costs. A thorough comparative study enables then to characterise situations which make one mode less costly compared with the others. Each situation corresponds to specific values taken by parameters that are considered in the cost formulation.
Study of Cylinder Wake Vortex Fluidic Control based on Lattice Boltzmann Method

When the flow past a cylinder, vortex shedding will occur in the near wake behind it. In order to suppress the vortex shedding of the circular cylinders, a numerical simulation program written by the Lattice Boltzmann Method was used based on the jet from the rear stagnation pointof cylinder. According to the numerical simulation of the jet with the same direction as the incoming flow, the effects of suppressing vortex shedding are analyzed. Results demonstrate that: (1) The correctness and validity of the main program and the expansion moduleare verified by simulating the flow around the square cavity and the cylinder. (2) With the increasing of the jet velocity, the effect of the jeton the suppression phenomenon for the cylinder’s wake vortex becomes more obviously. Additionally, the fluctuation of the transverse force of the circular cylinder is reduced. (3) Although the method of jet flow can suppress the cylindrical vortex shedding, it needs to control the jet velocity. In addition, it is easy to cause the large value of the drag coefficient of the cylinder and lead to the structural risk if the velocity of jet flow is too high.
MULTI-TASK PREDICTION OF FUEL PROPERTIES OF HYDROCHAR DERIVED FROM WET MUNICIPAL WASTES WITH RANDOM FOREST

Waste to energy is a promising way to ease the urban burden of waste treatment and hydrothermal carbonization (HC) can dewater the municipal wastes with high moisture efficiently with hydrochar left. The hydrochar with outstanding fuel characteristics can be used as fuel for incineration to generate power. To predict the fuel characteristics of hydrochar including the yield, higher heating value (HHV) and carbon content (C_char) based on the information of the wet municipal waste, machine learning methods have been explored in this work. Results show that the optimized Random Forest (80 trees with 10 maximum depths) has good multi-task prediction capability of fuel characteristics. The R for the predictions of the yield, HHV and C_char are 0.80, 0.91 and 0.95, respectively. Moreover, according to the feature importance analysis, the yield of hydrochar is mainly determined by the temperature and water content of HC, while the HHV and C_char are dominated by the carbon and ash content of the feedstock, respectively.
Chapter 3 German light verb construction in the course of the development of machine translation

The German light verb construction (lvc) is commonly used despite its relative complexity. Different writing guidelines recommend avoiding lvcs and replacing them with the base verb constructions (bvcs). However, since not every lvc has an equivalent bvc, replacement is not always possible. The present study addresses two aspects: first, how the machine translation (mt) of lvc has evolved in light of recent progress in mt and the increasing dominance of neural machine translation (nmt), and second, whether the use of bvcs improves mt output compared to lvcs. The analysis of the mt output of both scenarios, lvc and bvc, is performed for different mt approaches in terms of number and types of mt errors, style and content quality ratings, and scores from two automatic evaluation metrics (aems). For this, a mixed-methods triangulation approach that includes error annotation, human evaluation, and automatic evaluation was applied and five mt systems were examined: a rule-based system (rbmt), a statistical system (smt), two differently constructed hybrid systems (hmt), and a neural system (nmt). The study is conducted for the language pair German-to-English in the technical domain. The results show that systems that employ earlier mt approaches (rbmt, smt, hmt) benefited from replacing the lvc with the corresponding bvc as their output was improved (i.e., mt errors were reduced; quality and aems scores were increased). On the contrary, the nmt system was able to produce mt with minimal number of errors both for lvcs and bvcs and recorded the highest quality levels in both scenarios among the analyzed mt systems.
Predicting Asphalt Mixture Skid Resistance by Aggregate Characteristics and Gradation

The objective of this study was to investigate the influence of aggregate characteristics and gradation on the skid resistance of various asphalt mixtures. Asphalt mixture slabs with different combinations of aggregate sources and gradations were fabricated in the laboratory. These slabs were polished with a wheel-polishing device developed by the National Center for Asphalt Technology. The frictional characteristics of each slab were then measured by the sand patch method, British pendulum, dynamic friction tester, and circular texture meter. Aggregates used in these mixtures were characterized by petrographic analysis, conventional test methods (acid insolubility, magnesium soundness, Micro-Deval, and British polish value), and the aggregate imaging system (AIMS). In addition, the aggregate gradation of each mixture was described by the two-parameter cumulative Weibull distribution function. Statistical analysis of test results led to the development of a function for predicting the International Friction Index, which is a measure of skid resistance of asphalt mixtures, after different intervals of polishing. The parameters of this function were found to be related to (a) initial and terminal aggregate texture measured by using AIMS, (b) rate of change in aggregate texture measured by using AIMS after different polishing intervals in the Micro-Deval, and (c) the Weibull distribution parameters describing aggregate gradation. This function can be useful for estimating the frictional characteristics of an asphalt mixture surface during the mixture design stage.
Role of Meaningful Work in Interpreting the Connections between Motivational Mechanisms and Innovative Behaviour

Despite the significance of motivation in stimulating innovative behaviour, little is known about the mutual consequences of the numerous motivational mechanisms aimed at evaluating innovative behaviour. It is against this development that this study examined the unique impact of meaningful work on the connection between innovative behaviour and the numerous mechanisms of motivation. For this study, a total of 309 teachers were selected from Federal Colleges in North-Eastern Nigeria using convenient random sampling. The data was analysed using partial least square – structural equation modelling. The effect of Journal of Xi'an University of Architecture & Technology Volume XII, Issue III, 2020 Issn No : 1006-7930