Miracle-dz/UniFAR-FTUs huggingface dataset:
A Qualitative Assessment of the Determinants of Faculty Engagement in Internationalization: A Chinese Perspective

Faculty is the key agent for internationalization. This interview-based study explored faculty views about the internationalization understanding, rationales, roles, engagement, and motivation in a research-centric, double-first class university in China. Faculty motivation was analyzed using the lens of the motivation systems theory (MST). The main findings concerning the five main themes emerging from the analysis of documents and interviews of twenty-eight faculty members are as follows. First, Chinese faculty’s understanding, rationales, roles, engagement, and motivation were significantly influenced by the national and university policies. Second, they mainly understood internationalization as activities, openness, and cross-cultural exchange. Third, unlike other countries, Chinese faculty espoused a broader scope of internationalization in their rationales, spanning from personal to university, higher education, China, and world development. Fourth, faculty perceived roles in internationalization included main drivers, role models, liaisons, and coordinators. Fifth, faculty motivation comprised goals, beliefs, and emotions. Faculty, among other goals, aspired to improve teaching content and expand students and self-abilities, yet they had mixed context and capacity beliefs. For example, they appreciated the university and national support for international travel, funding, and research but criticized complex travel procedures and teaching evaluation methods. They also felt concerned about their teaching, research, and communicating in a foreign language with students and international peers, except those with foreign backgrounds and experience. Faculty experienced different emotions when undertaking international activities, for example, joy, interest, and excitement to explore and learn. Finally, there was a high-medium level of faculty engagement in teaching and research than service internationalization (low or no engagement).
Developing an Evaluation Model for Monitoring Country-Based Tourism Competitiveness

Using pillars and sub-index from the Travel and Tourism Competitiveness Index (T & TCI) to measure a destination’s competitiveness is popular. Still, its methodology underlying the calculation has been criticized. So the T&TCI Index has not been regarded as a reliable measure of a destination’s competitiveness. In this regard, this paper sought to set out a country-based tourism competitiveness evaluation model with various statistical methods to indicate how important tourism policy development has to design. We used data from an expert survey to examine the attributes and sub-attributes and shape the decision-making. We addressed a theoretical six-step procedure to ensure the evaluation model’s rigor in the model development context. The first was to do data collection. The second was to examine construct underrepresentation. The third was to examine common method bias. The fourth was to examine construct-irrelevant variances. The fifth was to evaluate intergroup consistency. And the sixth was to develop attribute weight. Our study showed that a country-based tourism competitiveness evaluation model encompassed 8 attributes and 28 sub-attributes. We identified cultural uniqueness, ecology and the environment as the two most important attributes. In the end, we addressed the practical contributions of this study and methods to policy-makers and researchers.
The Future of TV and Online Video Platforms: A Study on Predictors of Use and Interaction with Content in the Egyptian Evolving Telecomm, Media & Entertainment Industries

This study examines the future of TV and online video platforms in the evolving Egyptian market through using the predictors of use and interaction. Built on the unified theory of acceptance and use of technology, and the theory of technology discontinuities and platforms development, this study extends its framework to explore the relationship between the intention of use and the interaction with content behavior. A sample size of 396 university students answered the survey questions. Unlike other studies, the study found that the perceived ease of use (PEU) is the only variable that is positively correlated to the intention to use online video platforms, yet it shows a significant positive relationship between consumer characteristics (including instrumental orientation [IO], perceived behavioral control [PBC], online flow experience [FLOW]) and intention to use online video platforms. Results show that people are watching less TV, yet the low disposable income might be a serious challenge toward the growth of video platforms. This study offers valuable indicators about changing consumer behavior in the research-weak transitional Egyptian media system.
International Organizations Lending Policy, are There Strings Attached? A Case Study From the Latest Wave of Reforms in the Albanian Social Security System

Pension policy reform in post-communist countries received attention from most international organizations since the early 1990s. Accordingly, Albania has implemented comprehensive liberalization and privatization of the state sector since transitioning to a market economy. This study will look at the impact that the European Union (EU), the World Bank, and the International Monetary Fund had in guiding the Albanian state-run social security system toward principles of decentralization, liberalization and privatization. Specifically, social security reforms between 2009 to 2019 will be examined, along with a focus on the side-effect of the conditions imposed by the three organizations. A mixed-method including literature review and secondary data analysis will empirically evidence growing inequality, with senior citizens poverty rate sharply rising due to reforms in social security. Our conclusions will argue that closer ties with the EU will keep social security in its current form, as the EU does not push for a specific pension system, while the World Bank policy influence will lose ground, thus freeing Albania from periodic social security reforms.
Fostering Creativity and Work Engagement Through Perceived Organizational Support: The Interactive Role of Stressors

The increasing interest of organizations in innovating and surviving during stressful work environments has led scholars to ponder ways to increase employee’s creativity. The study aims to empirically examine the relationship between perceived organizational support (POS) and employee creativity through work engagement and the moderating effect of challenge and hindrance stressors. The theoretical lens of social exchange theory was used to explain the study framework. Data was collected from 324 marketing personnel of the beverage and telecom sector in Pakistan and analyzed using structural equation modeling (SEM) with AMOS. The findings revealed that the direct relationship between POS with work engagement and employee creativity and work engagement with employee creativity was significant. Interestingly, the moderator has shown a prominent effect, which illustrated that low hindrance stressors strengthened the relationship between POS and work engagement. The study contributes by enhancing the employee’s creativity by reducing stressful working environments in many ways.
Evaluating the Impact of a Targeted Approach Designed to Build Executive Function Skills: A Randomized Trial of Brain Games

This paper reports results from an impact study of Brain Games (BGs), a classroom-based intervention designed to build preschool and school-aged children’s executive functions (EFs) and related self-regulation skills. The study employed a classroom-randomized, experimental design with 626 students in 36 pre-K through fourth grade classrooms in charter schools in a mid-sized urban district. In one set of models with child covariates, children in intervention classrooms showed marginal positive impacts on regulation-related behaviors, attention control and impulsivity, and negative effects on global EF and marginal increases in discipline problems. A second set of models with a smaller sample and both child and classroom covariates included indicate positive impacts of BGs on global EFs, prosocial behavior, and attention control and impulsivity. There were no significant impacts on the teacher–student relationship as reported by the teacher or on direct assessments of inhibitory control, short term and working memory, or another measure of global EF in either set of models. These promising findings offer a signal that implementation of targeted, easy to implement intervention approaches in classroom contexts can influence children’s regulation-related and prosocial outcomes, but this signal should be investigated further with larger and more tightly controlled designs.
Exercise-Induced Benefits for Alzheimer’s Disease by Stimulating Mitophagy and Improving Mitochondrial Function

Neurons are highly specialized post-mitotic cells that are inherently dependent on mitochondria due to their higher bioenergetic demand. Mitochondrial dysfunction is closely associated with a variety of aging-related neurological disorders, such as Alzheimer’s disease (AD), and the accumulation of dysfunctional and superfluous mitochondria has been reported as an early stage that significantly facilitates the progression of AD. Mitochondrial damage causes bioenergetic deficiency, intracellular calcium imbalance and oxidative stress, thereby aggravating β-amyloid (Aβ) accumulation and Tau hyperphosphorylation, and further leading to cognitive decline and memory loss. Although there is an intricate parallel relationship between mitochondrial dysfunction and AD, their triggering factors, such as Aβ aggregation and hyperphosphorylated Tau protein and action time, are still unclear. Moreover, many studies have confirmed abnormal mitochondrial biosynthesis, dynamics and functions will present once the mitochondrial quality control is impaired, thus leading to aggravated AD pathological changes. Accumulating evidence shows beneficial effects of appropriate exercise on improved mitophagy and mitochondrial function to promote mitochondrial plasticity, reduce oxidative stress, enhance cognitive capacity and reduce the risks of cognitive impairment and dementia in later life. Therefore, stimulating mitophagy and optimizing mitochondrial function through exercise may forestall the neurodegenerative process of AD.
Case Report: High-Gamma Oscillations on an Ictal Electroencephalogram in a Newborn Patient With Hypoxic–Ischemic Encephalopathy

Fast oscillations (FOs) >40 Hz in electroencephalograms (EEGs) are associated with ictogenesis and epileptogenesis in adults and children with epilepsy. However, only a few previous studies showed FOs in neonates. Reported frequencies of such neonatal FOs were in the low-gamma (<60 Hz) band and, therefore, they were not high compared to those in pediatric patients. We herein report a newborn patient with severe hypoxic–ischemic encephalopathy (HIE), who showed pathological FOs with a frequency in the high-gamma band. She was born at a gestational age of 39 weeks 4 days by emergency cesarean section because of non-reassuring fetal status. She had focal motor seizures involving unilateral upper and lower limbs lasting for tens of seconds on days 0, 1, 4, 5, 8, and 9 and subclinical seizures on days 4–11. Phenobarbital (PB) was intravenously administered on days 0, 2, 4, 5, and 6. We found FOs that were superimposed on the ictal delta activities using visual inspection and time–frequency analysis on 8–11 days of age. Among them, we detected high-gamma (71.4–100 Hz) oscillations that appeared to be temporally independent of low-gamma activities in the ictal EEG on 11 days of age. To the best of our knowledge, this is one of the earliest reports showing pathological FOs with a frequency of >60 Hz in the high-gamma band in human neonatal seizures, which were previously observed in animal studies. Further studies are needed to elucidate the pathophysiology of ictal FOs in neonatal seizures.
Synthesis and antimalarial activity of some triphenyltin(IV) aminobenzoate compounds against Plasmodium falciparum

Abstract This paper presents antimalarial activity of several triphenyltin(IV) aminobenzoate compounds synthesized from the reaction of triphenyltin(IV) hydroxide with 2-, 3-, and 4-aminobenzoic acid. The activity of the compounds as anti-malaria agents was evaluated using Plasmodium falciparum, and demonstrated that the compounds have about the same IC50 with that of chloroquine (2×10−3 μg/mL) applied as the positive control. The result also showed that the Plasmodium is non-resistent to the compounds synthesized, which is the opposite to chloroquine.
Substantial Cyano‐Substituted Fully sp2‐Carbon‐Linked Framework: Metal‐Free Approach and Visible‐Light‐Driven Hydrogen Evolution

Polymeric semiconductors are emerging as a kind of competitive photocatalysts for hydrogen evolution due to their well‐tunable structures, versatile functionalization, and low‐cost processibility. In this work, a series of conjugated porous polymers with substantial cyano‐substituted fully sp2‐carbon frameworks are efficiently synthesized by using electron‐deficient tricyanomesitylene as a key building block to promote an organic base‐catalyzed Knoevenagel condensation with various aldehyde‐substituted arenes. The resulting porous polymers feature donor‐acceptor structures with π‐extended conjugation, rendering them with distinct semiconducting properties. They possess hierarchically porous structures, nanoscale morphologies, and intriguing wettability. These promising physical characters, finely tailorable by varying the arene units, are essentially relevant to the abundant cynao substituents over the whole frameworks. The as‐prepared porous polymers exhibit excellent visible‐light‐driven photocatalytic activity for water‐splitting hydrogen evolution with apparent quantum yield up to 2.0% at 420 nm or 1.9% at 470 nm, among the highest values yet reported for porous polymer‐based photocatalysts, also representing the first example of such kinds of catalysts formed through a metal‐free‐catalyzed carbon–carbon coupling reaction.
How Has Digitalisation Influenced Value in the Music Market?

Abstract This paper focuses on how digitalisation has influenced actors’ value determination and value creation in the Swedish music market. It draws on the service-dominant logic (SDL) and the service ecosystem perspective to conceptualise value as co-created through the integration of resources by multiple actors in service exchange, enabled and constrained by institutions and institutional arrangements. Empirically, we draw on a qualitative study of the digitalisation of the Swedish music market that consists of fifty-two interviews with various actors. The findings suggest that digitalisation has influenced service engagement and consequently value creation and determination for various actors, and especially for consumers and producers. This paper contributes by integrating SDL and the service ecosystem perspective into music business research in a novel way to promote a deeper understanding of value, value determination, and value co-creation. This paper also contributes to SDL by suggesting that both value-in-exchange and value-in-use are important aspects of value determination and value co-creation.
Matrix-Regularized One-Class Multiple Kernel Learning for Unseen Face Presentation Attack Detection

The functionality of face biometric systems is severely challenged by presentation attacks (PA’s), and especially those attacks that have not been available during the training phase of a PA detection (PAD) subsystem. Among other alternatives, the one-class classification (OCC) paradigm is an applicable strategy that has been observed to provide good generalisation against unseen attacks. Following an OCC approach for the unseen face PAD from RGB images, this work advocates a matrix-regularised multiple kernel learning algorithm to make use of several sources of information each constituting a different view of the face PAD problem. In particular, drawing on the one-class null Fisher classification principle, we characterise different deep CNN representations as kernels and propose a multiple kernel learning (MKL) algorithm subject to an ( $r,p$ )-norm ( $1\leq r,p$ ) matrix regularisation constraint. The propose MKL algorithm is formulated as a saddle point Lagrangian optimisation task for which we present an effective optimisation algorithm with guaranteed convergence. An evaluation of the proposed one-class MKL algorithm on both general object images in an OCC setting as well as on different face PAD datasets in an unseen zero-shot attack detection setting illustrates the merits of the proposed method compared to other one-class multiple kernel and deep end-to-end CNN-based methods.
Gasification of biomass in supercritical water

Conversion in hot compressed water (e.g. 600C and 300 bar) is considered to be a promising technique to treat very wet biomass or waste streams. In this chapter, a new experimental method is described that can be used to screen the operating window in a safe, cheap, and quick manner (one measurement takes about 5 min). Small sealed quartz capillaries (i.d. = 1 mm) filled with biomass or model compounds in water are heated rapidly in a fluidized bed to the desired reaction temperature. The reaction pressure can be controlled accurately by the initial amount of solution in the capillary. After a certain contact time, the capillaries are lifted out of the fluidized bed, rapidly quenched, and destroyed to collect the produced gases for GC analysis. Results of measurements for formic acid and glucose solutions have shown that the technique is reliable enough for screening purposes including trend detection. For conversions above 30%, three identical measurements are sufficient to produce reasonably accurate average values with a confidence level of 95%. This chapter has been published in Ind. Eng. Chem. Res, 43 (2004), p. 4580
Effects of Drought Manipulation on Soil Nitrogen Cycling: A Meta‐Analysis

Many regions on Earth are expected to become drier with climate change, which may impact nitrogen (N) cycling rates and availability. We used a meta‐analytical approach on the results of field experiments that reduced precipitation and measured N supply (i.e., indices of N mineralization), soil microbial biomass, inorganic N pools (ammonium (NH4+) and nitrate (NO3−)), and nitrous oxide (N2O) emissions. We hypothesized that N supply and N2O emissions would be relatively insensitive to precipitation reduction and that reducing precipitation would increase extractable NH4+ and NO3− concentrations because microbial processes continue, whereas plant N uptake diminishes with drought. In support of this hypothesis, extractable NH4+ increased by 25% overall with precipitation reduction; NH4+ also increased significantly with increasing magnitude of precipitation reduction. In contrast, N supply and extractable NO3− did not change and N2O emissions decreased with reduced precipitation. Across studies microbial biomass appeared unchanged, yet from the diversity of studies, it was clear that proportionally smaller precipitation reductions increased microbial biomass, whereas larger proportional reductions in rainfall reduced microbial biomass; there was a positive intercept (P = 0.005) and a significant negative slope (P = 0.0002) for the regression of microbial biomass versus % precipitation reduction (LnR = −0.009 × (% precipitation reduction) + 0.4021). Our analyses imply that relative to other N variables, N supply is less sensitive to reduced precipitation, whereas processes producing N2O decline. Drought intensity and duration, through sustained N supply, may control how much N becomes vulnerable to loss via hydrologic and gaseous pathways upon rewetting dry soils.
Experimental Measurements of R134a Flow Boiling Inside a 3.4-mm ID Microfin Tube

The minimization of the refrigerant charge in refrigerating and air conditioning equipment is now an important issue for the new environmental challenges. This paper presents R134a flow boiling heat transfer and pressure drop measurements inside a mini microfin tube with internal diameter of 3.4 mm. This study was carried out in a new experimental facility built at the Dipartimento di Ingegneria Industriale of the University of Padova, especially designed to study both single- and two-phase heat transfer processes in microstructured surfaces. The microfin tube was brazed inside a copper plate and electrically heated from the bottom by means of a wire resistance. Several T-type thermocouples were inserted in the wall to measure the temperature distribution during the phase-change process. In particular, the experimental measurements were carried out at constant saturation temperature of 30 °C, by varying the refrigerant mass velocity between 190 kg m−2 s−1 and 940 kg m−2 s−1, and the vapor quality from 0.2 to 0.99 at three different heat fluxes: 10, 25, and 50 kW m−2. The experimental results are presented in terms of two-phase heat transfer coefficient, vapor quality at the onset of dryout, and frictional pressure drop.
A Classification Model For Mall Customers Data

Now-a-days business people are targeting customers to sell their products to increase their business value. This is where machine learning comes into picture to segment the customers using some algorithms. It will be profitable to the company that creates great efficiency for developing, selling products and services. For this, it considers one clustering and one classification algorithm. The Customers data is considered which is unlabelled, by applying K-Means clustering algorithm the data will be labelled. Then classify the final clusters with the classification algorithm named SVM (Support Vector Machine). From this it is known that whether a new customer will be profitable to the business or not.
A Novel Hierarchical Situation Awareness Model for CBTC Using SVD Entropy and GRU With PRD Algorithms

As a typical and special cyber-physical system, Communication-Based Train Control (CBTC) systems require a different security model from the traditional Information Technology(IT) systems. In this paper, we propose a novel hierarchical situation awareness model for CBTC systems. The two major characteristics of the model are that it can achieve rapid dimensionality reduction of multi-source heterogeneous data, and it can also deal with complex situation variations (such as hacker attacks) by learning, classifying and predicting critical data from the physical layer, network layer and application layer of CBTC systems. The Singular Value Decomposition (SVD) entropy algorithm and Gated Recurrent Unit (GRU) neural network with Progressive Residuals Detecting (PRD) algorithm are proposed to support our hierarchical model. When the singular value entropy threshold is set to 0.85, the SVD entropy algorithm can effectively compress the training and classification time by about 80% while keeping the classification accuracy stable. The mean absolute error between the observed Movement Authority (MA) value and the MA value predicted by the GRU algorithm is 23.96, which can be set as a threshold. Then the PRD algorithm is proposed to continuously calculate the progressive residuals between the two adjacent groups of observations and predictions, and only when the residuals of both two adjacent groups are greater than the threshold, the possible abnormal data can be detected. The denial of service (Dos) attack, Probing attack and data tampering attack are introduced to verify our hierarchical model and the simulation results demonstrate that our model can achieve real-time and precise system situation awareness and alerting.