Miracle-dz/UniFAR-FTUs huggingface dataset:
Difference-based matrix perturbation method for semi-parametric regression with multicollinearity

ABSTRACT This paper addresses the collinearity problems in semi-parametric linear models. Under the difference-based settings, we introduce a new diagnostic, the difference-based variance inflation factor (DVIF), for detecting the presence of multicollinearity in semi-parametric models. The DVIF is then used to device a difference-based matrix perturbation method for solving the problem. The electricities distribution data set is analyzed, and numerical evidences validate the effectiveness of the proposed method.
IMPROVED LUMPED-DIFFERENTIAL FORMULATION OF TRANSIENT CONJUGATED CONDUCTION-CONVECTION IN EXTERNAL FLOW

Mathematica is employed in the symbolic computation implementation of a hybrid numerical-analytical solution for transient laminar forced convection over flat plates of non-negligible thickness, subjected to arbitrary time variations of applied wall heat flux from above. This conjugated conduction-convection problem is first simplified by employing the Coupled Integral Equations Approach (CIEA) to reformulate the heat conduction problem on the plate by averaging the related energy equation in the transversal direction. As a result, a partial differential formulation for the average wall temperature is obtained, while a third kind boundary condition is achieved for the fluid in the heat balance at the solid-fluid interface. An approximate solution is then proposed for the coupled partial differential equations by combining the classical integral method for the boundary layer equations and the method of lines implemented in the Mathematica routine NDSolve. The integral method is initially employed to yield polynomial approximations for both the steady velocity field and the transient temperature field within the fluid. Then, the governing partial differential equation for the ratio of thicknesses of the boundary layers is symbolically determined, from the solution of the related integral form of the energy equation in the transient state. Numerical solution for the thermal boundary layer thickness and for the average solid temperature is then obtained through the automatic use of the built in function NDSolve, yielding the time evolution and the longitudinal distribution of these parameters, for any specific prescribed wall heat flux time function. Finally, local heat transfer coefficients are readily determined from the wall temperature distributions, as well as the temperature values at any desired point within the fluid.
Earnings and market ratio: Additional evidence from Jordanian banks

The primary objective of this study is to investigate the correlation between profitability and the banks market value, while controlling for bank size as indicated by total assets. Two main models are analyzed, namely the benchmark model and the main model, to estimate the impact of high and low profitability on market value. The sample for this study consists of Jordanian banks covering the period from 2010 to 2020. The study results reveal that banks with high profitability exhibit a higher market value compared to those with low profitability, underscoring the crucial role of profitability as a determinant of bank value. Furthermore, the study establishes a link between low and high ROE and market value, indicating that variations in ROE significantly affect market value. Moreover, the study demonstrates a positive link between earnings and market value, emphasizing the significance of bank earnings in influencing market value. Lastly, the study emphasizes the role of bank size in shaping the link between ROE and market value, highlighting the importance of considering bank size when examining the link between profitability and market value. AcknowledgmentI thank Amman Arab University for funding this research.
A Compact and Efficient Boost Converter in a 28 nm CMOS with 90 mV Self-Startup and Maximum Output Voltage Tracking ZCS for Thermoelectric Energy Harvesting

There are increasing demands for the Internet of Things (IoT), wearable electronics, and medical implants. Wearable devices provide various important daily applications by monitoring real-life human activities. They demand low-cost autonomous operation in a miniaturized form factor, which is challenging to realize using a rechargeable battery. One promising energy source is thermoelectric generators (TEGs), considered the only way to generate a small amount of electric power for the autonomous operation of wearable devices. In this work, we propose a compact and efficient converter system for energy harvesting from TEGs. The system consists of an 83.7% efficient boost converter and a 90 mV self-startup, sharing a single inductor. Innovated techniques are applied to adaptive maximum power point tracking (A-MPPT) and indirect zero current switching (I-ZCS) controllers for efficient operation. The startup circuit is realized using a gain-boosted tri-state buffer, which achieves 69.8% improved gain at the input VIN = 200 mV compared to the conventional approach. To extract the maximum power, we use an A-MPPT controller based on a simple capacitive divider, achieving 95.2% tracking efficiency. To address the challenge of realizing accurate voltage or current sensors, we propose an I-ZCS controller based on a new concept of maximum output voltage tracking (MOVT). The integrated circuit (IC) is fabricated using a 28 nm CMOS in a compact chip area of 0.03 mm2. The compact size, which has not been obtained with previous designs, is suitable for wearable device applications. Measured results show successful startup operation at an ultralow input, VIN = 90 mV. A peak conversion efficiency of 85.9% is achieved for the output of 1.07 mW.
Design of an Integrated Transformer With Parallel Windings for a 30-kW LLC Resonant Converter

Transformer design is critical to high-power high-frequency dc/dc resonant converters. For the design of a high-current transformer with parallel windings, current sharing, resonant inductance integration, as well as performance optimization are still quite challenging. Therefore, a comprehensive analytical model of the current distribution between the parallel litz wire windings is developed in this article. Based on this model, a novel winding structure is proposed to eliminate the current discrepancy. Furthermore, the performances of two typical resonant inductance integration methods are compared when applied to parallel windings. With the selected transformer structure, loss and volume optimization is also conducted. It is worth mentioning that the proposed transformer structure and design principles have good scalability and can be extended to higher power ratings easily. Finally, the analysis and design are verified in two 100-kHz transformers for a 30-kW LLC resonant converter. The current difference between parallel windings does not exceed 3.6%. The efficiency and power density of the transformer at 30 kW is up to 99.6% and 22.4 kW/L, respectively.
Does Brand Love Make Every Consumer Behave On Social Media ? The Role of Personality Traits and Brand Love On Customer Engagement Behavior

The customer engagement behavior is an important concept for the company along with the increasing use of social media by consumers. Previous studies examined customer engagement behavior on social media by the role of technology factors or features on the brand page. Nevertheless, the role of individual consumer traits and the consumer-brand relationships on customer engagement in brands on social media are still limited. This paper aims to explore customer engagement behaviours to brands in social media. This explores the extent to which personality traits are related to consumer-brand relationship and customer engagement behaviours in social media. The findings are presented from a survey of Instagram users who engage with fashion brand pages. The data collecting was done by online survey from 209 respondents, age between 18 and 34 years. The results support four of the seven hypotheses with significant relationship between the constructs analysed. Customers with openness and extraversion tend to love brands. Openness performs engagement behavior to brands in Instagram but extraversion does not. On the other hand, individuals who have neuroticism tend not to love brands and not perform engagement behavior. Eventually, brand love is a strong customer motivation to perform customer engagement. This study contributes to existing literature by examining consumer behavior on social media in the presence of emotional motivation. This paper extends literature by studying combined effect of emotional motivation resulting from the presence of personality traits in individual customer behavior
Clamping Force Control Strategy of Electro-Mechanical Brake System Using VUF-PID Controller

Clamping force control is one of the key technologies in the algorithm design and implementation of electro-mechanical braking system, whose control effects directly affect the vehicle braking performance and safety performance. In order to improve the clamping force control performance of electro-mechanical braking (EMB) system, an EMB clamping force control method based on Variable universe adaptive fuzzy PID (VUF-PID) controller is proposed, and stretching factors are added to the fuzzy PID control. According to the operation of the controlled object, the fuzzy theory domain can be adjusted in real time to keep the system in the proper parameter value and improve the adaptive ability of the system. The response characteristics and effectiveness of clamping force under step braking condition, gear switching braking condition and sine braking condition are verified by simulation experiments using MATLAB/Simulink. The results show that the proposed VUF-PID control method has strong tracking characteristics and stability characteristics, and meet the braking requirements under different braking conditions.
Wide-Scale Internet Disconnection: Impact and Recovery on Social-Based P2P Overlays

In the recent years, there have been situations where wide-scale network fraction of Internet users have been disconnected from the rest of the network, due to natural hazards or national censorships (e.g., a government cuts connectivity to the outside world as a mechanism for suppression of uprisings). Peer-to-peer systems are known to be resilient in the presence of churn and uncorrelated failures. However, their behavior in extreme scenarios, where massive correlated failures occur, is not well-studied. In this paper, we consider nodes within a relatively small geographical region of the network (2.5 percent or fewer Internet users), and study whether users can communicate with their ($n$-hop away) social neighbors in a peer-to-peer fashion after network partitions. The contribution of our work is twofold: 1) we study the effect of such partitions on topology and routing of structured and social-based unstructured P2P overlays, including a newly proposed Social-aware overlay; 2) for the overlay with better routability observed from the first step, we propose and evaluate a social-based bootstrapping method for nodes to join the overlay, under the constraints imposed by firewalls and NATs. In our analysis, we consider both real and synthetic datasets of online social networks. The results of our evaluation show that structured P2P overlay routability is severely hampered by wide-scale partition events. In addition, the proposed social-based unstructured overlay network provides improved routability while maintaining a smaller number of links. Furthermore, in the evaluation of bootstrapping, by varying several input parameters, from 90 to 97 percent of nodes in Social-aware overlay could bootstrap and reach their direct-neighbors.
Use of Marketing Communication Tools in Tourism in Accommodation Facilities during the COVID-19 Pandemic

The spread of the infectious disease COVID-19 throughout the world in 2020 caused a global pandemic, which, with subsequent measures, seriously affected the global tourism industry. The main purpose of the research study was to identify and analyse the use of marketing communication tools in tourism in accommodation facilities in the Czech Republic during the COVID-19 pandemic. This paper adds to the existing literature by offering a better understanding of the link between the effectiveness of marketing communication tools within the marketing strategy and the financial losses of the hotel sector. As part of the research, a total of 140 controlled, structured interviews were conducted with managers of selected accommodation facilities, in which the scope and primary forms of use of marketing communication tools during the COVID-19 pandemic were investigated. Research objectives were verified through research questions and hypotheses. The main findings of the research revealed that more than half of the monitored accommodation establishments in the Czech Republic did not change their promotion strategy during the pandemic. In contrast, almost 13% of the accommodation establishments surveyed did not use any tools to communicate with the customer. The research also showed that marketing communication of accommodation facilities takes place mainly in the form of websites and social media, while the most effective communication is via social networks. Therefore, the authors recommend professional associations operating in tourism and hospitality focus their educational activities on the possibilities of using innovative marketing communication tools to communicate with customers. The research was carried out for the requirements and needs of society and practice in connection with the effects of the pandemic crisis so that it was possible to communicate more effectively with the customer segment in the tourism sector.
Seamless disconnection and reconnection transients for Micro-Grids

The increasing penetration of generation power plants based on renewable energies in the electrical networks has boosted the number of systems connected to the grid. In this scenario the micro-grid, providing advanced functionalities to improve the stability and operation of the network, have become very popular. In this paper a control strategy for the micro-grid management is presented. The proposed system improves the performance of micro-grids and its interaction with the main network, or also with other micro-grids, under grid voltage transients. This technique gives rise to a simple and robust control scheme to ensure the appropriate micro-grid disconnection from the main grid. In the following, the control algorithm for the intelligent connection agent will be shown, and the grid synchronization system, as well as the voltage and current control loops will be detailed. Finally simulation results obtained using the MATLAB/Simulink & Psim platform will be presented and discussed.
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers

Human hand has amazing super-resolution ability in sensing the force and position of contact and this ability can be strengthened by practice. Inspired by this, we propose a method for robotic tactile super-resolution enhancement by learning spatiotemporal continuity of contact position and a tactile sensor composed of overlapping air chambers. Each overlapping air chamber is constructed of soft material and seals the barometer inside to mimic adapting receptors of human skin. Each barometer obtains the global receptive field of the contact surface with the pressure propagation in the hyperelastic seal overlapping air chambers. Neural networks with causal convolution are employed to resolve the pressure data sampled by barometers and to predict the contact position. The temporal consistency of spatial position contributes to the accuracy and stability of positioning. We obtain an average super-resolution (SR) factor of over 2500 with only four physical sensing nodes on the rubber surface (0.1 mm in the best case on 38 × 26 mm²), which outperforms the state-of-the-art. The effect of time series length on the location prediction accuracy of causal convolution is quantitatively analyzed in this article. We show that robots can accomplish challenging tasks such as haptic trajectory following, adaptive grasping, and human-robot interaction with the tactile sensor. This research provides new insight into tactile super-resolution sensing and could be beneficial to various applications in the robotics field.
Transversal injection for direct encoding of ancilla states for non-Clifford gates using stabilizer codes

Fault-tolerant, error-corrected quantum computation is commonly acknowledged to be crucial to the realization of large-scale quantum algorithms that could lead to extremely impactful scientiﬁc or commercial results. Achieving a universal set of quantum gate operations in a fault-tolerant, error-corrected framework suffers from a conservation of unpleasantness. In general, no matter what error-correction technique is employed, there is always one element of a universal gate set that carries a signiﬁcant resource overhead—either in physical qubits, computational time, or both. Speciﬁcally, this is due to the application of non-Clifford gates. A common method for realizing these gates for stabilizer codes such as the surface code is a combination of three protocols: state injection, distillation, and gate teleportation. These protocols contribute to the resource overhead compared with logical operations such as a CNOT gate and contribute to the qubit resources for any error-corrected quantum algorithm. In this paper, we introduce a very simple protocol to potentially reduce this overhead for non-Clifford gates: transversal injection. Transversal injection modiﬁes the initial physical states of all data qubits in a stabilizer code before standard encoding and results in the direct preparation of a large class of single qubit states, including resource states for non-Clifford logic gates. Preliminary results hint at high-quality ﬁdelities at larger distances and motivate further research on this technique.
Determinants of the Indonesian military’s career development: Mediating role of performance and moderating role of objectivity of organizational commitment

Career development is a vital aspect of improving work effectiveness and the best contribution of employees to the organization. This study aims to explore the determinants of career development of the Indonesian military. This quantitative study uses a questionnaire (in print and Google Forms) to collect data from 384 Indonesian National Armed Forces personnel at the Iskandar Muda Military Command, Banda Aceh, Indonesia. The participants were army soldiers with the rank levels of non-commissioned, first, and middle officers. Data were processed using the AMOS software and structural equation modeling (SEM) approach. The findings show that the three constructs (work motivation, physical fitness, and emotional intelligence) are relevant in predicting the performance and career development of the Indonesian military. Next, the objectivity of organizational commitment moderates the relationship between performance and career development. In addition, performance mediates the relationship between the three independent variables and career development. These findings imply that the Iskandar Muda military command is expected to be able to apply them in improving performance and career development under applicable procedures.
Effect of Molecular Organization on the Properties of Fractionated Lignin-Based Thiol–Ene Thermoset Materials

In this study, the combination of sequential solvent fractionation of technical Kraft lignin was followed by allylation of most OH functionalities to give highly functional thermoset resins. All lignin fractions were highly functionalized on the phenolic (≥95%) and carboxylic acid OH (≥85%) and to a significant extent on the aliphatic OH moieties (between 43 and 75%). The resins were subsequently cross-linked using thiol–ene chemistry. The high amount of allyl functionalities resulted in a high cross-link density. Dynamic mechanical analysis measurements showed that the thioether content, directly related to the allyl content, strongly affects the performance of these thermosets with a glass transition temperature (Tg) between 81 and 95 °C and with a storage modulus between 1.9 and 3.8 GPa for all thermosets. The lignin fractions and lignin-based thermosets’ morphology, at the nanoscale, was studied by wide-angle X-ray scattering measurements. Two π–π stacking interactions were observed: sandwich (≈4.1–4.7 Å) and T-shaped (≈5.5–7.2 Å). The introduction of allyl functionalities weakens the T-shaped π–π stacking interactions. A new signal corresponding to a distance of ≈3.5 Å was observed in lignin-based thermosets, which was attributed to a thioether organized structure. At the same time, a lignin superstructure was observed with a distance/size corresponding to 7.9–17.5 Å in all samples.
STUDENTS’ PERCEPTION ON THE USE OF GOOGLE CLASSROOM IN WRITING ACTIVITIES

Google Classroom as a learning media is widely used for distant learning during pandemic to help students’ learning in English writing. This research is intended to find out students’ perceptions on the use of Google Classroom in writing activities at Universitas Musi Rawas. The numbers of ten students of Public Administration study program are taken by using maximum variation sampling technique. The qualitative method was used in this research with case study as research design. The data obtained from interviews were analyzed by using thematic analysis. The results of the research showed that there are some advantages and disadvantage of Google Classroom in writing activities. The advantages were (1) Easy to use and accessible from mobile phone, (2) Effective communication and sharing, and (3) Speed up the assignment process. Meanwhile, the disadvantage were (1) Networking problem, and (2) Google Classroom did not encourage the learners to share their work with their peers.
Experimental study on entrainment of Stirling engines to an external pacemaker

The Stirling engine, originally development in 1816 by R. Stirling, has been considered as one of the most efficient systems that convert energy resource to electric power using a thermodynamic cycle ideally close to the Carnot cycle. Use of the Stirling engine for realworld problems, however, has been limited because of its relatively low output power. Towards its more practical applicability, simultaneous operation of many individual Stirling engines is indispensable to increase the output power. This paper presents an experimental study of entraining two Stirling engines to an external pacemaker. Our aim is to achieve synchronized oscillations of the Stirling engines without lowering their oscillation frequencies, because both synchrony and high frequencies are important factors to enhance the total output power. Compared to our previous study of directly coupled Stirling engines, it is shown that the output power is significantly improved in the present framework.