Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Mobile Devices’ Acceptance in Developing EFL Listening Skill among Vietnamese High School Learners

This research explored mobile devices' acceptance in EFL listening skills among Vietnamese high school learners by utilizing the updated Unified Theory of Acceptance and Use of Technology (UTAUT). The data collection method used was semi-structured interviews and quantitative surveys with 260 students from several high schools located throughout central and southern Vietnam. It was revealed that high school learners in Vietnam had a positive perspective toward the integration of mobile devices to develop their EFL listening skills and showed their readiness to adopt these educational tools in the future to this skill, owing to the educational benefits offered by these devices and the fruitful achievement achieved by learners. The findings also indicated that the constructs of the UTAUT positively correlated with each other. Specifically, effort expectancy, performance expectancy, facilitating condition, social influence, behavioral intention, and attitude had a positive correlation with one another. Moreover, the outcomes suggested that this model could explain up to 63% of the variance in learners' behavioral intention to adopt mobile devices to enhance the development of their EFL listening skills. Furthermore, the strongest predictor of behavioral intention was attitude, followed by performance expectancy and facilitating condition. Additionally, performance expectancy was discovered to best predict attitude, subsequently facilitating condition and social influence. Based on the main findings, some implications were addressed.
Event‐trigger‐based approximate optimal control of modular robot manipulators using zero‐sum game

An event‐triggered‐based approximate optimal control is developed for modular robot manipulators (MRMs) using zero‐sum game strategy. By utilizing the joint torque feedback method, robotic systems' dynamic model is formulated and state space equation is derived. According to event‐triggered mechanism and neural network algorithm, the tracking control issue is converted to a zero‐sum game optimal control issue. The optimal control policy and worst disturbance policy are acquired by Hamilton–Jacobi–Isaacs function respectively. The MRM system's tracking error is ultimately uniformly bounded. Finally, experiments demonstrate advantages of the method.
Workload, Aspiration, and Fun: Problems of Balancing Self-Exploitation and Self-Exploration in Work Life

Contemporary working life highlights the challenge between exploitation and exploration both on a general and a more individual level. Here, we focus on the latter, and connect the critical debate regarding self-management to March's exploitation/exploration trade-off, as this forms a useful theoretical frame to understand how employees make sense of their self-management efforts. The employee is subjected to an individual responsibility to understand and manage an exploration of the self while handling the norms of self-exploitation that a self-management culture creates. Through an empirical study of a large group of management consultants, we explore how they perform and make sense of self-exploitation and self-exploration through three specific discourses: the discourse of workload, the discourse of aspiration, and the discourse of fun. Through these, the consultants try to identify optimal amounts of work, play, and ambition, all while handling the trade-off between self-exploitation and self-exploration. We show how this keeps failing, but how it reappears as a necessary condition for avoiding future failures. In all three discourses, the trade-off therefore presents itself as the problem of as well as the solution to self-management.
Characterization of the complete mitochondrial genome of Garra motuoensis (Cypriniformes: Cyprinidae) and its phylogenetic position within genus Garra

Abstract Garra motuoensis, an endemic labeonine fish, was reported distributed in the lower Yarlung Tsangpo River drainage with little published biological information. Herein, we sequenced and characterized the complete mitochondrial genome of G. motuoensis, which was 16,806 bp in length, containing 13 PCGs, 22 tRNA genes, two rRNA genes, one light strand replication origin (OL ), one control region (D-loop), and one replication region. Phylogenetic analysis based on 13 PCGs sequences revealed that G. motuoensis had a closest relationship with G. qiaojiensis. Then, both species clustered with other species of Garra, and next grouped with other genera of subfamily Labeoninae.
Circulating Inflammatory Markers May Mediate the Relationship between Healthy Plant-Based Diet and Metabolic Phenotype Obesity in Women: A Cross-Sectional Study

Background It has been posited that both metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) could be emergent from diet and inflammatory markers. Thus, we sought to investigate the influence of plant-based diet on MHO and MUHO phenotypes mediated by inflammatory markers in overweight and obese women. Methods This cross-sectional study was conducted on 289 women aged ≥18 years, with a body mass index (BMI) ≥25 kg/m2. Dietary intake was measured using 147 item food frequency questionnaire, as well as anthropometrics and biochemistry panel, in all participants. Metabolic health phenotypes were considered using Karelis score, while plant-based diet indices (PDI) were evaluated based on 18 food groups, where healthy and unhealthy PDI were identified. Results Accordingly, 26.9% of women had MHO and 73.1% had MUHO phenotypes. After adjusting for potential confounders, TGF-β1 had a significant inverse association with hPDI (β: −0.28; 95% CI: 452.99, −85.25; P: 0.004). Moreover, we found that women with higher hPDI had lower odds of MUHO (OR: 0.95; 95% CI: 0.39, 2.30; P: 0.03). Regarding the mediatory effect of the inflammatory markers, TGF-β1 (P: 0.73), IL-β1 (P: 0.14), and MCP1 (P: 0.51) played a role in decreasing the odds of MUHO among hPDI tertiles. Conclusion There was a significant inverse relationship between adherence to hPDI and MUHO phenotype in overweight and obese Iranian women. This association appeared to be mediated by TGF-β1, IL-β1, and MCP1.
Securing Software as a Service Model of Cloud Computing:Issues a nd Solutions

Cloud computing, undoubtedly, has become the buzzword in the IT industry today. Looking at the potential impact it has on numerous business applications as well as in our everyday life, it can certainly be said that this disruptive technology is here to stay. Many of the features that make cloud computing attractive, have not just challenged the existing security system, but have also revealed new security issues. This paper provides an insightful analysis of the existing status on cloud computing security issues based on a detailed survey carried by the author. It also makes an attempt to describe the security challenges in Software as a Service (SaaS) model of cloud computing and also endeavors to provide future security research directions.
Dynamic Model and Control of a Photovoltaic Generation System using Energetic Macroscopic Representation

Abstract This paper addresses the Energetic Macroscopic Representation EMR, the modelling and the control of photovoltaic panel PVP generation systems for simulation purposes. The model of the PVP considers the variations on irradiance and temperature. A maximum power point tracking MPPT algorithm is considered to control the power converter. A novel EMR is proposed to consider the dynamic model of the PVP with variations in the irradiance and the temperature. The EMR is evaluated through simulations of a PVP generation system.
Kron Reduction Based on Node Ordering Optimization for Distribution Network Dispatching with Flexible Loads

Kron reduction is a general tool of network simplification for flow calculation. With a growing number of flexible loads appearing in distribution networks, traditional Kron reduction cannot be widely used in control and scheduling due to the elimination of controllable and variable load buses. Therefore, this paper proposes an improved Kron reduction based on node ordering optimization whose principles guarantee that all the boundary nodes are retained eventually after eliminating the first row and the first column in every step according to the order, thereby making it possible to take full advantage of their potential to meet different requirements in power system calculation and dispatching. The proposed method is verified via simulation models of IEEE 5-bus and 30-bus systems through illustrating the dynamic consistency of the output active power of the generator nodes and the power flow data of preserved nodes before and after reduction.
Usage of the Ranson criteria and neutrophil-lymphocyte ratio measured on presentation to the emergency department in the prediction of mortality in acute pancreatitis

The aim of this study is to examine the usefulness of the Ranson criteria and neutrophil-to-lymphocyte ratio (NLR) on admission to the emergency department (ED) in regard to the prediction of mortality for patients diagnosed with acute pancreatitis (AP) and compare the predictive ability of these two parameters. All patients information aged over 18 years who presented to ED and were diagnosed with AP in the three-year study period were analyzed retrospectively. The data were provided from the electronic-based hospital information system. To assess the cut-off value of each variable in discriminating between the survivor and non-survivor groups, the receiver operating characteristic (ROC) analysis and the area under the curve (AUC) were used. This study included 318 adult patients (47.5% male) with a mean age of 58.6 ± 17.6 years. As a result of the ROC analysis of the Ranson criteria for mortality prediction, the AUC value was calculated as 0.65 (95% confidence interval (CI): 0.57–0.70), the Youden index as 0.28, and the p value as 0.002, while the ROC analysis of NLR revealed an AUC value of 0.58 (95% CI: 0.52–0.64), Youden index of 0.29, and p value of 0.08. The Ranson criteria can provide a clinical guide in the prediction of the prognosis of AP patients. However, according to the results of this study, NLR recorded at the time of admission was found to be ineffective on predicting the prognosis of AP patients.
H2SA-ALSH: A Privacy-Preserved Indexing and Searching Schema for IoT Data Collection and Mining

Currently, smart devices of Internet of Things generate massive amount of data for different applications. However, it will expose sensitive information to external users in the process of IoT data collection, transmission, and mining. In this paper, we propose a novel indexing and searching schema based on homocentric hypersphere and similarity-aware asymmetric LSH (H2SA-ALSH) for privacy-preserved data collection and mining over IoT environments. The H2SA-ALSH collects multidimensional data objects and indexes their features according to the Euclidean norm and cosine similarity. Additionally, we design a c - k -AMIP searching algorithm based on H2SA-ALSH. Our approach can boost the performance of the maximum inner production (MIP) queries and top- k queries for a given query vector using the proposed indexing schema. Experiments show that our algorithm is excellent in accuracy and efficiency compared with other ALSH-based algorithms using real-world datasets. At the same time, our indexing scheme can protect the user’s privacy via generating similarity-based indexing vectors without exposing raw data to external users.
Fear of the dark: a cross-cultural study into how perceptions of antisocial behaviour impact the acceptance and use of Twitter

ABSTRACT This study investigates the impact of the perceptions of antisocial behaviour on the use of the social media platform Twitter. We extend the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Perception of Antisocial Behaviour as a risk factor, and two supporting constructs: Strategic Self-Presentation and Protective Self-Presentation. We call this extended model Technology Acceptance and Use under Risk (TAUR). We investigate two groups via an online questionnaire, contrasting Anglophone countries (the UK, USA, and Canada, 200 responses), with Saudi Arabia (540 responses). In both cases the data shows that the Perception of Antisocial Behaviour impacts Twitter use, but not directly, rather it negatively impacts the influence of other factors such as Behavioural Intention – it also shows that this affects Anglophones more than Saudis. This indicates that future work should differentiate between different cultural groups, and different solutions may be needed to assuage users’ fears in different parts of the world.
How Do Balanced Budget Rules Impact Fiscal Performance Based On Revenue Structure?: Evidence From U.S. States

Revenue condition needs to be considered in the design of balanced budget rules (BBRs), because revenue stream, which varies across state governments, is an important factor in balancing the budget. Also, revenue factors may influence state responses to economic crises through the employment of BBRs.Thus, this study examines the influence of BBRs on states’ fiscal performance depending on revenue structure using a panel data set from 1997 to 2016. The results demonstrate that the strongest BBRs are effective in reducing deficit shocks, although this amplifies fiscal volatility. However, the weakest BBRs play a role in stabilizing volatility. Considering revenue structure, if a state government is concerned about deficit shocks, it would do well to adopt the strongest BBRs, with lower levels of own-source revenue. Conversely, if a state government wishes to pursue fiscal stabilization, it should adopt the weakest BBRs, with lower levels of own-source revenue and less diversified source.
Multilevel Conflict Analysis Based on Fuzzy Formal Contexts

Uncertainties are widespread in real-world situations. In the existing studies, the uncertainties expressed by the agents engaged in a conflict situation have been extensively investigated. However, to what extent these agents can be trusted is often ignored and seldom taken into account. In this article, to manage these two sides of uncertainties, we propose a mathematical framework for multilevel conflict analysis from an outsider's perspective. Concretely, in order to indicate the analysis levels and manage the conflict situation with an extent-intent view, we resort to fuzzy formal concept analysis. At first, we explain what is multilevel data analysis. After that, based on fuzzy concept lattices, we present a general framework for multilevel conflict analysis and a method for computing the maximal coalitions and minimum conflict sets. And then, we describe how to update conflict analysis results when increasing analysis levels. Experimental analysis demonstrates that managing two sides of uncertainties can bring much more conflict resolution, and increasing analysis levels is helpful for postponing decision making and bringing more economical conflict resolutions. Finally, case studies are made to show the application of multilevel conflict analysis model and some interesting findings are obtained. Specifically, once the cost of increasing analysis levels is taken into consideration, it is interesting to choose the optimal analysis level for making the most economic decision. The main contribution of this study is the model of multilevel conflict analysis based on fuzzy concept lattices, which can incorporate the uncertainties of two sides.
A performance evaluation of geophysical methods for detecting underground cavity around sewer

In recent years, the phenomenon of ground subsidence in major cities has caused social problems such as damage to roads and structures, inhibition of people’s safety, and property damage. A survey released by the City of Seoul has showed that more than 80% of the phenomenon of ground subsidence occurred mainly around sewer pipes. Since sewer pipes tend to rapidly deteriorate, a technical standard is needed in order to effectively carry out replacements and repair reinforcement by evaluating the soundness of the existing sewer pipe and identifying any common occurrences of danger. In this study, the effective seismic survey technology for detecting a cavity near to sewer pipe was chosen as GPR, density logging, and impulse response method for the deteriorated sewer pipe. The pilot plant test was carried out so as to verify the performance of the cavity detection of the corresponding technique. Each method could detect the cavity proximity to the sewage pipe, but there was a difference in the applicable limit and detection performance according to each method.
Challenging civil society perceptions of NATO: Engaging the Women, Peace and Security agenda

Engagement with the Women, Peace and Security (WPS) agenda by military actors has caused concern among some of its civil society advocates. For example, NATO has adopted the WPS agenda as an increasingly visible part of its self-narrative. Yet what had distinguished NATO’s engagement with WPS from many other actors is that it came without civil society involvement. The establishment of a Civil Society Advisory Panel (CSAP) on WPS in 2014 is therefore highly significant for both NATO and the WPS agenda. Despite this, the efficacy of such consultation is not clear-cut nor its potential to mitigate militarised understandings of WPS and support transformative engagement with the agenda, particularly given the wariness of some civil society to engage with NATO. Drawing on interviews with civil society, this article interrogates their perceptions of NATO in order to understand the potential of such engagements to support transformative understandings of WPS and more broadly the efficacy of civil society engagement with military institutions. In so doing, it examines how such consultation adds to our understanding of NATO as an institution of international hegemonic masculinity.
Evaluation of Attitude and Knowledge of Endodontic, Pedodontic and SBARD Residents in Saudi Arabia toward Regenerative Endodontics—A National Survey

Background and Objectives: There are no guidelines on the regenerative endodontic procedures that should be followed in dental treatment. Thus, it is essential to learn the knowledge, attitudes, and opinions about regenerative endodontics among dental practitioners, particularly endodontists, as they are the first providers of this type of dental treatment. Aim: This study aimed to assess the knowledge and attitudes among residents of the Saudi Board of Advanced Restorative Dentistry (SBARD) in Saudi Arabia. Methods & Materials: A questionnaire-based survey was conducted among 128 residents of endodontics, pedodontics, and the SBARD in Saudi Arabia. The questionnaire was distributed to participants using the available electronic measures such as emails and social media. The questionnaire was made by Google Forms, and responses were received directly in the excel sheet in the email. The data were exported as an excel file, coded, and analyzed, and the p-value < 0.05 was set as significant. Results: More than 50% (74 dentists) of the participants reported receiving continuing education in regenerative treatment, with a significant difference found among specialty (p = 0.023). No significant association was found between knowledge, gender, and type of postgraduate study. The vast majority (89.1%) of the participants believed regenerative endodontics should be incorporated into dentistry curricula. About two-thirds (78.2%) of the participants declared their ability to attend future training courses in a regenerative endodontic, whereas 10.9% did not, and 10.9% were unsure. Conclusions: The dental practitioners were enthusiastic and interested in regenerative and stem cell treatment. The results also suggested incorporating regenerative treatment into the dental curriculum and signaled the need for more continued training courses.
Biodegradable Molybdenum (Mo) and Tungsten (W) Devices: One Step Closer towards Fully-Transient Biomedical Implants

Close monitoring of vital physiological parameters is often key in following the evolution of certain medical conditions (e.g., diabetes, infections, post-operative status or post-traumatic injury). The allocation of trained medical staff and specialized equipment is, therefore, necessary and often translates into a clinical and economic burden on modern healthcare systems. As a growing field, transient electronics may establish fully bioresorbable medical devices capable of remote real-time monitoring of therapeutically relevant parameters. These devices could alert remote medical personnel in case of any anomaly and fully disintegrate in the body without a trace. Unfortunately, the need for a multitude of biodegradable electronic components (power supplies, wires, circuitry) in addition to the electrochemical biosensing interface has halted the arrival of fully bioresorbable electronically active medical devices. In recent years molybdenum (Mo) and tungsten (W) have drawn increasing attention as promising candidates for the fabrication of both energy-powered active (e.g., transistors and integrated circuits) and passive (e.g., resistors and capacitors) biodegradable electronic components. In this review, we discuss the latest Mo and W-based dissolvable devices for potential biomedical applications and how these soluble metals could pave the way towards next-generation fully transient implantable electronic systems.
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement

Scientific simulations on high-performance computing systems produce vast amounts of data that need to be stored and analyzed efficiently. Lossy compression significantly reduces the data volume by trading accuracy for performance. Despite the recent success of lossy compression, such as ZFP and SZ, the compression performance is still far from being able to keep up with the exponential growth of data. This paper aims to further take advantage of application characteristics, an area that is often under-explored, to improve the compression ratios of adaptive mesh refinement (AMR) - a widely used numerical solver that allows for an improved resolution in limited regions. We propose a level reordering technique zMesh to reduce the storage footprint of AMR applications. In particular, we group the data points that are mapped to the same or adjacent geometric coordinates such that the dataset is smoother and more compressible. Unlike the prior work where the compression performance is affected by the overhead of metadata, this work re-generates restore recipe using a chained tree structure, thus involving no extra storage overhead for compressed data, which substantially improves the compression ratios. We further derive a mathematical proof that lays the foundation for our method. The results demonstrate that zMesh can improve the smoothness of data by 67.9% and 71.3% for Z-ordering and Hilbert, respectively. Overall, zMesh improves the compression ratios by up to 16.5% and 133.7% for ZFP and SZ, respectively. Despite that zMesh involves additional compute overhead for tree and restore recipe construction, we show that the cost can be amortized as the number of quantities to be compressed increases.