Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of eWom on purchase intention: meta-analysis

PurposeThe aim of this research is to combine and synthesize the findings of previous studies search for the effects of eWom on purchase intention by meta-analysis.Design/methodology/approachThe paper shows a meta-analysis process step by step. Within the scope of certain criteria, the studies in the Google Scholar and ITÜ library databases were eliminated and the results of the remaining 19 studies were analyzed in CMA (Comprehensive Meta-Analysis) program.FindingsBy conducting a meta-analysis of the research question, a common effect size was obtained from 19 studies. In addition, the effect size of 21 eWom (electronic word of mouth communication) factor on purchasing intention related to the 21 hypotheses defined in the study was obtained by means of meta-analysis separately.Originality/valueWith the increasing number of Internet users, the desire to share their comments and ideas on the Internet, and the increasing importance of electronic word of mouth communication in our lives, people's decisions have started to be affected by this situation. One of the decision-making movements is the purchase intention. Therefore, it is expected to see more researches on meta-analysis for the effect of eWom on purchase intention in the following years.
An Unofficial Account of the Beginnings of VLBI Polarimetry: From Jodrell Bank to the Event Horizon Telescope

I offer a brief and personal history of the development of polarization sensitive observations with widely separated antennas. The story starts at Jodrell Bank in the late 1960s with a 24 km baseline radio linked (but not phase stable) interferometer and reaches to the present Event Horizon Telescope (with global span and independent atomic clocks) which has just published an image of the linearly polarized radiation surrounding the black hole shadow of M87*. I was privileged to be witness to many of the developments along the way, either as an instigator, a bystander, or an unindicted co-conspirator. I am most interested in the technical developments that enabled these increasingly sophisticated observations, and in the ideas that advanced the data analysis and imaging.
Methane Separation And Purification Via Pressure Swing Adsorption

Investigations on alternative energy sources have gained increasing attention due to a significant shortage in the fossil fuel reserves and an increase in the use of internal combustion engines. Natural gas, which mainly consists of CH4, is playing a significant role as a short term solution. Although CH4 is a greenhouse gas, it is a valuable energy source. However, CH4 is not extracted from any source at 100% purity. Natural gas generally contains many other contaminants such as H20, CO2, N2, He, other hydrocarbons, sulphur compounds, etc. Hence, CH4 needs to be purified to meet various usage specifications. To this end, the development of a cost effective pressure swing adsorption (PSA) process, utilizing commercially available adsorbents, such as activated carbon, carbon molecular sieve and 13X zeolite, is underway to recover and concentrate CH4 from several sources. These sources include natural gas reservoirs, shale gas, biogas, landfill gas, coal beds, etc. In this study the goal was to separate a pretreated CH4 mixture from N2 and CO2. A systematic development effort was undertaken for this purpose including both mathematical modeling and experimentation. First, simulations were carried out using an in-house dynamic adsorption process simulator (DAPS) to purify CH4 using a 4-bed 4-step PSA cycle schedule. This scoping work led to the development of a unique 3-bed 8 step PSA cycle schedule for CH4-CO2 separation that was also studied using the DAPS. Single-bed and multi-bed PSA cycle experiments were carried out to validate the DAPS simulation results. Overall, this set of DAPS simulations and experimental results proved that pipeline quality CH4 (i.e., > 97% pure) at recoveries exceeding 90% can be produced by meticulously designing the PSA cycle schedule with a corresponding set of operating parameters and conditions. This presentation will provide an overview of these experimental and DAPS modeling studies.
Ability of pharmacy students to assess their learning

Objective: The aim of the study was to evaluate the ability of pharmacy students to assess their learning. Methods: Without pre-class preparation or access to learning resources, third-year pharmacy students were asked to list in preset templates the important points of topics that were covered two weeks earlier including Alzheimer’s, Huntington’s chorea and Parkinson’s diseases, structure short essay questions guided by these lists and answer them. In the first section, students worked individually while in the second and third sections they worked in groups of four. At the end of each session, students were asked to fill in a pre-piloted ethically approved questionnaire on their perception of the present exercise and learning strategies and examinations. Results: The majority of participants (n: 51; 85%) were females and with GPAs ranging from 2.5-4. The important points listed by students focused on the aetiology and treatment of the disorders. However, the questions framed by grouped students and their answers were more thorough and well organised. Half of the participants reported the aim of tests was to improve their learning and the majority (93%, 85% and 85%) of students preferred pre-scheduled tests, paper examinations and lectures using PowerPoint presentations respectively. In their reflection on the exercise, most students enjoyed it and found it effective in enhancing their learning. Conclusion: The present pedagogy enhances learning, writing skills, group collaboration and team spirit. Its application in other classes and topics would strengthen its value in enhancing learning.
The mediating role of ICT regulation on the effects of ICT access and ICT use on e-participation: Evidence from structural equation modelling and necessary condition analysis

Recently, governments have been using information and communication technologies (ICTs) to provide platforms for citizen engagement and involvement through e-participation. This paper aims to explore the drivers behind e-participation in a global context. The discourse on e-participation in the information systems literature has concentrated on how technology access generally serves as a factor of citizens’ e-participation. Specifically, ICT access and ICT usage have largely been examined as disparate critical success factors in e-participation even though ICT access and ICT usage are complementary factors whose presence are mutually exclusive in achieving effective e-participation. Relying on the technology-organization-environment (TOE) theory and secondary data for 121 countries for 2018, we adopt a multi-method approach by combining partial least squares structural equation modelling (PLS-SEM) and necessary condition analysis (NCA) to understand the direct effects of ICT access, ICT usage and ICT regulation on e-participation. We also explore the mediating effects of ICT regulation in driving ICT access and ICT usage towards citizen e-participation. Our results show that ICT usage and ICT regulation significantly contribute to e-participation. ICT regulation was found to significantly mediate the nexus between ICT usage and e-participation. From our combined use of PLS-SEM and NCA, we present how researchers and policymakers can identify the factors that are critical and can result in the best possible outcome. Our study contributes to extensions of the TOE theory by drawing on constructs from the theory to identify critical factors that determine e-participation in a global context.
Development of a New Dosage Form of Naproxen

The aim of the study was to create a new dosage form of naproxen — granules for rapid dissolution in the oral cavity, also to develop their optimum composition and drug formulation. Materials and Methods. The active ingredient: naproxen substance; excipients: lactose monohydrate, mannitol 100 SD (fillers), polyvinylpyrrolidone Kollidon CL (a disintegrant), sodium hydrogen carbonate and citric acid (gas-forming agent). Moisture-activated dry granulation with subsequent addition of citric acid was used to produce granules. Alcohol in different concentrations (5, 10, 20, and 30%) served as granulating liquid. Results. There has been developed the composition and drug manufacturing technology of the new dosage form of naproxen — granules for rapid dissolution in the oral cavity. It has been established experimentally that granules obtained with the use of 20% alcohol have the most favorable technological characteristics. Quality assessment was carried out in accordance with the State Pharmacopoeia XIII. Conclusion. There has been obtained a new easy-to-use dosage form of naproxen with a high safety profile.
INVESTIGATION OF CHARGE TRAPS AT Al-DOPED HfO2/(100)InGaAs INTERFACE BY USING CAPACITANCE AND CONDUCTANCE METHODS

In this study, capacitance and conductance methods were used to investigate the charge traps at a HfO2/(100)InGaAs interface with an atomic layer deposition HfO2 layer doped with Al2O3 by co-deposition technique. The effect of Al doping on the quality of the HfO2/In0.53Ga0. 47As interface will be evaluated. The density of interface traps (Dit) near In0.53Ga0. 47As midgap is close to 2×10 12 cm −2 eV −1 . Based on comparison to the HfO2/In0.53Ga0. 47As interface without Al2O3 interfacial passivation where the value Dit∼10 13 cm −2 eV −1 is encountered near the midgap, we can conclude that the presence of Al2O3 passivation noticeably improves the interface quality.
Interference Mitigation and Power Minimization in 5G Heterogeneous Networks

Macro cells’ (MCs) densification with small cells (SCs) is one of the promising solutions to cope with the increasing demand for higher data rates in 5G heterogeneous networks (HetNets). Unfortunately, the interference that arises between these densely deployed SCs and their elevated power consumption have caused huge problems facing the 5G HetNets. In this paper, a new soft frequency reuse (SFR) scheme is proposed to minimize the interference and elevate the network throughput. The proposed scheme is based on on/off switching the SCs according to their interference contribution rate (ICR) values. It solves the interference problem of the densely deployed SCs by dividing the cell region into center and edge zones. Moreover, SCs on/off switching tackles the elevated power consumption problem and enhances the power efficiency of the 5G network. Furthermore, our paper tackles the irregular nature problem of 5G HetNets and compares between two different proposed shapes for the center zone of the SC: circular, and irregular shapes. Additionally, the optimum radius of the center zone, which maximizes the total system data rate, is obtained. The results show that the proposed scheme surpasses the traffic and the random on/off switching schemes, as it decreases the outage probability and enhances the total system data rate and power efficiency. Moreover, the results demonstrate the close performance of both the irregular and circular shapes for the center zone.
A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations

Bias correction of General Circulation Model (GCM) is now an essential part of climate change studies. However, the climate change trend has been overlooked in majority of bias correction approaches. Here, a novel signal processing‐based approach for correcting systematic biases in the time‐varying trend of GCM simulations is proposed. The approach corrects for systematic deviations in spectral attributes of raw GCM simulations using discrete wavelet transforms. The order one and two moments of the underlying trend represented by the lowest frequency of wavelet component are corrected to ensure continuity in the corrected time series from the current to the future simulation period. The approach is applied to correct two data sets that exhibit opposite time‐varying trends representing the global mean sea level (GMSL) and the Arctic sea‐ice extent. Results indicate that bias in trend is corrected, while continuity in time and observed variability at all frequencies in current climate simulations are maintained.
Super-colored paths in digraphs

We work in an Anthropology application where it is desired to enumerate colored rings (structures that look like cycles) present in kinship net-works. For this goal, we came across the following question: for all vertex v of a vertex-colored digraph, how many colors (in maximum) a path starting in v can have? The answer for this question would help us to enumerate the colored rings since we would know how many colors a ring evolving some vertices could have, in maximum. Here, we call a path as v-super-colored if it starts in vertex v and it has the maximum amount of colors among all paths starting in v. We show that the problem to find the number of colors of v-super-colored paths for all v is NP-hard when the input digraph is general. We describe a simple algorithm which demonstrates that the problem is tractable if the input digraphis acyclic and the number of colors is small.
A Survey of Research on Data Analytics-Based Legal Tech

Data analytics provides important tools and methods for processing the data generated during legal services. This paper aims to provide a systematic survey of the research papers on the application of quantitative data analytics algorithms in the legal domain. To this end, relevant research papers were collected and used to analyze topics and trends of research on data analytics-based Legal Tech. The key findings of this paper are as follows. Firstly, the number of research papers about Legal Tech has increased dramatically recently. Secondly, the application of supervised learning techniques to legal judgment data is a very popular approach in this research area. Thirdly, preprocessing legal documents is a very important procedure as many legal documents exist in text form. Fourthly, artificial neural networks and their variations are widely used in research on data analytics-based Legal Tech. Fifthly, data analytics-based Legal Tech is a multidisciplinary research topic related to computer science and social science, etc.
Recirculatory Fibrinolytic-Assisted External Ventricular Drainage (EVD) for Intraventricular Hemorrhage

Background Elevated intracranial pressure and acute obstructive hydrocephalus secondary to intraventricular hemorrhage (IVH) can be treated by external ventricular drainage (EVD). The treatment time and the risk of EVD-related complications can be reduced with fibrinolytic agents’ instillation via an EVD catheter, but previous clinical trial results did not reveal a significant improvement in terms of long-term functional outcomes. A recirculatory fibrinolytic-assisted EVD system was designed. The clot dissolution effectiveness of the system under different drug dosages and fluid flow rates was tested in an ex vivo model. Results The results showed that the mean clot mass was quickly reduced in an initial fibrinolytic agent dose-independent stage, followed by a dose-dependent stage. Elevating fibrinolytic agent dosages beyond a certain threshold did not contribute to shorter dissolution times. Optimal treatment parameters for such a system were determined. A recirculatory flow rate of 10–18 ml/min with a low-dose of 30 000–60 000 IU of uPA resulted in an 80% clot mass reduction within four hours. Conclusions This recirculating fibrinolytic system is a promising novel modification of conventional IVH treatment that could reduce clot dissolution times and procedure-related complications.
Supercritical water gasification of a heavy fuel oil

ABSTRACT In this research, the supercritical water gasification for a sort of heavy fuel oil, Mazut, has been investigated. Mazut was modeled with a 33-pseudo-component using the corresponding distillation curve. In a reactor, the equilibrium reactions were simulated using the Gibbs free energy minimization method. A parametric study was performed on this system. The parameters were included mass fraction of fuel and pressure and temperature of the gasifier. Two approaches were investigated, one with constant pressure (P = 22.1 MPa) and the other with constant temperature (T = 600°C), varying the other two parameters. H2 production efficiency reaches a maximum at fuel mass fraction about 30 percent and gasifier temperature in the range of 500°C to 700°C.
The Realistic Dilemma and Path Exploration of the Construction of Physical Education Teaching MOOCs Platform in Colleges and Universities

With the widespread application of artificial intelligence and big data technology, the era of higher education informatization has come. Physical education is an important means of cultivating higher education talents, and information-based teaching methods should be in the forefront of the development of the times. However, the construction of a sports MOOCs platform is not an overnight effort, especially in the absence of sports information-based talents. This article uses literature research methods and logical deductive research methods to systematically analyze the many difficulties faced by the construction of the physical education MOOCs platform in the current actual construction of colleges and universities. The research proposes the organic combination of MOOCs and traditional physical education to improve teachers’ teaching abilities and strengthening of student’s supervision and assessment system are practical improvement strategies.
Parenting of 1.5 generation Chinese Americans’ parents: A case study

Individuals who arrive in a new country during their childhood and early adolescence are referred to as the 1.5 generation. In this exploratory case study, five Chinese families were interviewed and examined about the effects of their parenting styles on those 1.5 generation Chinese American students. Findings revealed that these parents’ parenting styles—educational values, educational practices, and family dynamics—have exerted a great impact on the students’ academic performance, psychological well-being, and adaptation to their life in the US. Insights about comparisons between American and Chinese education will be inspiring to educators and scholars for culturally comparative analysis and mental health practitioners working with the adolescents of this ethnicity and their families.
Risk Management of Time Overrun in Multiple Phases of Construction: Consultant Perspective

This article reports a study on the construction of a food factory building in Indonesia by investigating the root causes of time overruns from the perspective of a consultant. Although many risks have been identified at various stages of the construction project, it is not clear which risk is the main cause of project delays. To better understand the optimization of risk management and risk mitigation, a multi-stage risk management is proposed, which is divided into four phases: pre-design, design, project bidding, and construction. Therefore, the use of bow tie analysis allows for more in-depth inspections to identify risks. From each bow tie diagram, a detailed risk mitigation table can be developed, and it is easier to plan the response to each risk. From this research, the top 5 reasons for the delay of the project were found. The first reason for the delay is X3a2, which has a value of 4.578, which is a change in design idea. The second value of X3c1 is 4.533, which is the technical data of new machines appearing. The third row is X2b4, the value is 4.467, waiting for owner's decision. The fourth place is the variable X1b3 Machine technical data appears after tender, with a value of 4.422, and the fifth place is the difference between local regulations and foreign regulations, with a value of 4.378. Keywords: factory building, risk management, time overrun.
Assessment of the Regional and Sectoral Economic Impacts of Heat‐Related Changes in Labor Productivity Under Climate Change in China

Climate change leads to heat‐related changes in labor productivity, which have additional economic impacts. Based on a framework that considers the impacts evolving from climate change to labor productivity to economic impact, we estimate the changes in labor productivity for indoor and outdoor activities and different work intensities at the grid level in China under a wide range of climatic and socioeconomic conditions and then evaluate the economic impacts in seven regions and eight sectors. The results show that (a) the negative impacts of labor productivity are concentrated in outdoor sectors, and the labor productivity of indoor sectors will decrease slightly or even increase due to high air‐conditioning device penetration rates under relatively optimistic scenarios. (b) The national results show that total economic impacts increase by 0.28%–0.61% of the GDP for each 1°C rise in the temperature, and the total economic impacts of labor productivity reductions in the most pessimistic scenario reach 1.15%–2.67% of the GDP in 2100. (c) The regional results indicate that the regions with lower labor productivity impacts (Northwest and Northeast China) still suffer large economic impacts, highlighting the importance of economic impact assessments across the regions. (b) The sectors in the seven regions of China that are most sensitive to climate change are agriculture and construction. The economic impacts in the manufacturing and service sectors, which contribute 22%–35% and 11%–15% of regional GDP losses, respectively, cannot be ignored, and should receive more attention in climate mitigation policies.
Entirely relaxed lattice-mismatched GaSb/GaAs/Si(001) heterostructure grown via metalorganic chemical vapor deposition

A GaSb epilayer is grown on a GaAs/Si(001) epitaxial substrate via metalorganic chemical vapor deposition. High-resolution transmission electron microscopy micrographs and high-resolution X-ray reciprocal space mapping indicate an entirely relaxed interfacial misfit (IMF) array GaSb epilayer. The valence-band offset and conduction-band offset of the Al2O3/GaSb/GaAs/Si structure are estimated to be 2.39 and 3.65 eV, respectively. The fabricated Al2O3/p-GaSb/GaAs/Si MOS capacitors exhibited good capacitance–voltage characteristics with a small accumulation frequency dispersion of approximately 1.05% per decade. These results imply that the GaSb epilayer grown on the GaAs/Si platform in the IMF mode can be used for future complementary metal–oxide semiconductor applications.
EMERGING TENDENCY OF BRANDS UTILIZATION AND ITS IMPACTS ON LIFE SATISFACTION OF UNIVERSITY STUDENTS

Purpose of the study: This research examines the emerging tendency of brands utilization and its impacts on the life satisfaction of university students. Methodology: It is a quantitative study where a survey research method has been used, and for data collection, the questionnaire has been prepared. Demographic variables like area, age, gender, qualification, and location are also included. A sample of 385 students was selected by using the proportional allocation method. Statistical analysis for data was done through SPSS software. Researchers used a linear regression analysis test to find out the impacts of brand utilization on the life satisfaction of university students. Principal Findings: The findings of the study show that life satisfaction has a significantly negative correlation with brand utilization. Research also indicates that most purchased items were branded clothing and cosmetic products. Application of the study: This paper will be helpful to understand brand utilization and its impacts on youth’s life satisfaction. Novelty/Originality of this study: To analyze the growing tendency of luxury and brands products, researchers determined to check the impacts of branded products on life satisfaction levels. To examine the impacts of brand utilization, this research focused on four Pakistani universities and the life satisfaction level of students has bees examined.