Miracle-dz/UniFAR-FTUs huggingface dataset:
“Thumb Exercise”: An Interpretative Phenomenological Analysis of Psychosocial Factors Encouraging Inactive Adults to Engage with Their Smartphones Rather than Physical Activity

Background: Physical inactivity accounts for up to 1.6 million deaths each year. With UK adults spending approximately eleven times longer using their smartphones than exercising, research suggests that frequent smartphone use is linked to poor physical fitness. Previous research on the psychosocial influences of both problem smartphone use, and physical activity barriers and facilitators exist, however insight into the psychosocial underpinnings of why inactive individuals choose to engage with their smartphones rather than physical activity is understudied. Aims: This study provides a qualitative exploration of the psychosocial factors that encourage inactive adults to engage with their smartphones rather than physical activity. Methods: Thirteen (female = 10) participants aged between 18 and 39 completed an online qualitative survey. The subjective experiences and perceptions from participants’ survey responses were analysed using interpretative phenomenological analysis, with a phenomenological epistemological approach. Results: Three themes were identified: the first theme identified that the psychosocial influence of smartphone engagement was to escape unpleasant realities; the second theme depicts that the psychosocial barrier of physical activity engagement was perceptions in relation to the financial and task-oriented costs that physical activity incurs; the third theme captured that social support necessities are being fulfilled through smartphone communication, therefore as a counterpart, physical activity is deemed to be a desolate operation. Conclusions: The findings from this study provide recommendations that harness social support and smartphone capabilities for motivating inactive adults to maintain physically active lifestyles.
SiC-Based High Efficiency High Isolation Dual Active Bridge Converter for a Power Electronic Transformer

This paper discusses the benefits of using silicon carbide (SiC) devices in a three-stage modular power electronic transformer. According to the requirements to be fulfilled by each stage, the second one (the DC/DC isolation converter) presents the most estimable improvements to be gained from the use of SiC devices. Therefore, this paper is focused on this second stage, implemented with a SiC-based dual active bridge. Selection of the SiC devices is detailed tackling the efficiency improvement which can be obtained when they are co-packed with SiC antiparallel Schottky diodes in addition to their intrinsic body diode. This efficiency improvement is dependent on the dual active bridge operation point. Hence, a simple device loss model is presented to assess the efficiency improvement and understand the reasons for this dependence. Experimental results from a 5-kW Dual Active Bridge prototype have been obtained to validate the model. The dual active bridge converter is also tested as part of the full PET module operating at rated power.
PERILAKU PENGGUNAAN INTERNET BANKING SEBAGAI ALAT TRANSAKSI FINANSIAL

Internet banking is one of the bank services to do financial and non-financial transactions via an internet network. Internet banking provides consumers’ benefits such as fast, safe, convenient, and inexpensive transactions. Moreover, the bank gains business expansion and customer loyalty as their own benefits. Internet banking usage is influenced by perceived usefulness, perceived ease of use, visibility, enjoyment, social influences, attitude toward using, behavioral intention, and actual usage. The study’s purpose was to analyze these variables and formulate managerial implications in developing internet banking for the future. The study approach used the Technology Acceptance Model (TAM), which was tested by Structural Equation Modeling (SEM). The results showed five-factor relationships. First, the perceived ease of use had a significant influence on perceived usefulness. Second, the perceived usefulness was a significant toward the behavioral intention. Third, visibility and enjoyment had significant influence on attitude toward using. Fourth, the attitude toward using had significantly influenced behavioral intention. Five, the behavioral intention had significant toward actual usage. While the variable of visibility and enjoyment indirectly affected the actual usage. Keywords: internet banking, perceived ease of use, perceived usefulness, behavioural intention, visibility Abstrak: Internet banking merupakan salah satu bentuk layanan perbankan kepada nasabah untuk melakukan transaksi perbankan seperti transaksi finansial dan nonfinansial melalui jaringan internet. Internat banking dapat memberikan keuntungan bagi nasabah berupa layanan perbankan yang cepat, aman, nyaman, dan murah, sementara dari segi perusahaan dapat memberikan manfaat seperti perluasan usah dan, kesetiaan pelanggan. Beberapa variabel yang mempengaruhi penggunaan internet banking diantaranya, yaitu perceived usefulness, perceived ease of use, visibility, enjoyment, social influent, attitude toward using, behavioral intention, dan actual usage. Tujuan dari penelitian ini adalah untuk menganalisis variabel tersebut dan merumuskan implikasi manajerial yang dapat diterapkan dalam mengembangkan internet banking untuk perusahaan. Penelitian menggunakan pendekatan Technology Acceptance Model (TAM) dengan uji statistik menggunakan teknik Structural Equation Modelling (SEM). Hasil penelitian menunjukkan perceived ease of use berpengaruh signifikan terhadap perceived usefulness, perceived usefulness berpengaruh signifikan terhadap behavioral intention, visibility dan enjoyment berpengaruh signifikan terhadap attitude toward using, attitude toward using berpengaruh signifikan terhadap behavioral intention dan behavioral intenton berpengaruh signifikan terhadap actual usage. Variabel visibility dan enjoyment secara tidak langsung berpengaruh terhadap actual usage. Kata kunci: internet banking, perspektif kemudahan pengaplikasian, perspektif penggunaan, niat berperilaku, visibilitas
Towards an Inclusive Social Welfare Institution for Disabilities: The Case of Indonesia

People with disabilities are vulnerable to experience exclusion and discrimination in society. Likewise in Indonesia, a common condition for people with disabilities is the low level of participation in various sectors, such as the economy, education, healthcare, and public infrastructure. However, Indonesia has committed and started efforts to improve the equality of people with disabilities’ access. One institution that plays an important role in this regard is the social welfare institution. On a related note, this study discusses the dynamic of the social welfare institution’s roles in Indonesia in providing welfare for people with disabilities. Furthermore, the roles are explored based on the current context of society, which over the last few years, has been changing rapidly due to technological advancements, information acceleration, and big data utilization. This study argues building an inclusive social welfare institution is fundamental to fulfill the people with disabilities’ welfare. This study uses a qualitative approach with literature review and secondary data analysis as data collection methods.
The role of PAK6 in HGF-induced prostate cancer cell migration

Table of contents. List of tables. List of figures. Abbreviations. Chapter 1 Introduction. 1.1 Cell migration. 1.1.1 The importance of cell migration. 1.1.2 The role of the actin cytoskeleton during cell migration. 1.1.2.1 The role of cell-substratum adhesions during cell migration. 1.1.3 Carcinoma metastasis. 1.1.4 Differences in 2-Dimensional and 3-Dimensional cancer cell migration. 1.2 Growth factor-stimulated cell migration in cancer. 1.2.1 Growth factor signalling in cancer. 1.2.2 HGF. 1.2.2.1 HGF signalling in prostate carcinoma. 1.2.2.2 HGF-induced cell scattering. 1.3 Cell-cell dissociation in carcinoma metastasis. 1.3. 1 Adherens junctions. 1.3. 2 Structure of adherens junctions. 1.4 Rho family GTPases are central to cell migration dynamics. 1.4. 1 GDP/GTP cycle. 1.4. 2 Activity of Rho GTPases at cell-cell junctions. 1.4. 2.1 Assembly and maintenance of junctions. 1.4. 2.2 Disassembly of junctions. 1.5 IQGAP1. 1.5. 1 IQGAP family of proteins. 1.5. 2 Domain structure of IQGAP1. 1.5. 3 IQGAP1 in cancer . 1.5. 4 IQGAP1 in cell junction modulation. 1.6 PAKs. 2
Mortalidad de serpientes en la vía El valle de Toledo-Toledo, Antioquia –Colombia

Mortality of snakes caused by vehicular traffic in a segment of 17 km of the road between El Valle de Toledo and the municipality of Toledo, department of Antioquia, Colombia was determined through four months of continuous sampling between 1 October 2018 and 31 January 2019. Eighteen individuals corresponding to 14 species and three families were registered, Colubridae being the most representative (12 spp.), and Mastigodryas pleei and Leptophis ahaetulla the most run over species. Roadkill rate was 0.0043 individuals/km, which is relatively low when compared to those obtained in other related studies. 50% of the records occurred in the month of January, the time of least rainfall in the study area. Finally, these results show a small part of the vehicular affectation on this group of fauna, which could have a greater impact in the future according to the development of road infrastructure in this region, for which some strategies to mitigate the negative effects on wildlife are proposed.
On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.
Estimating Minimal Domains of Attraction for Uncertain Nonlinear Systems

In this article, we investigate the inner estimations of the minimal domains of attraction (MDA) for uncertain nonlinear systems, whose uncertainties are modeled by parameters defined in a semialgebraic set. We begin from an initial inner estimation of MDA and then enlarge this initial inner estimation by iterative calculating common Lyapunov-like functions with a linear sum of squares programming-based approach. Afterwards, this enlarged inner estimation of MDA is further improved by iterative computations of parameter-dependent Lyapunov-like functions. Especially, we use a simple semialgebraic set, described by a polynomial level-set function, to under-approximate this improved estimation. In the end, our methods are implemented and tested on several uncertain examples with comparisons to existing methods in the literatures.
Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation

An ecosystem model serves as an important tool to understand the carbon cycle in the forest ecosystem. However, the sensitivities of parameters and uncertainties of the model outputs are not clearly understood. Parameter sensitivity analysis (SA) and uncertainty analysis (UA) play a crucial role in the improvement of forest gross primary productivity GPP simulation. This study presents a global SA based on an extended Fourier amplitude sensitivity test (EFAST) method to quantify the sensitivities of 16 parameters in the Flux-based ecosystem model (FBEM). To systematically evaluate the parameters’ sensitivities, various parameter ranges, different model outputs, temporal variations of parameters sensitivity index (SI) were comprehensively explored via three experiments. Based on the numerical experiments of SA, the UA experiments were designed and performed for parameter estimation based on a Markov chain Monte Carlo (MCMC) method. The ratio of internal CO2 to air CO2 ( f C i ) , canopy quantum efficiency of photon conversion ( α q ) , maximum carboxylation rate at 25 ° C ( V m 25 ) were the most sensitive parameters for the GPP. It was also indicated that α q , E V m and Q 10 were influenced by temperature throughout the entire growth stage. The result of parameter estimation of only using four sensitive parameters (RMSE = 1.657) is very close to that using all the parameters (RMSE = 1.496). The results of SA suggest that sensitive parameters, such as f c i , α q , E V m , V m 25 strongly influence on the forest GPP simulation, and the temporal characteristics of the parameters’ SI on GPP and NEE were changed in different growth. The sensitive parameters were a major source of uncertainty and parameter estimation based on the parameter SA could lead to desirable results without introducing too great uncertainties.
Livestock browsing affects the species composition and structure of cloud forest in the Dhofar Mountains of Oman

Questions: It is frequently reported that overstocking of camels, cattle and goats is degrading the Anogeissus cloud forest, which is endemic to a 200 km stretch of coastal mountains in southern Arabia. However, livestock impacts on the vegetation have not been assessed. Furthermore, we have a limited understanding of the impacts of large-bodied browsing livestock, such as camels, in woodland and forest rangelands. Therefore, in this study, we examine the effects of livestock browsing on the species composition, density, and hytomorphology of woody vegetation in the Anogeissus cloud forests in the Dhofar Mountains of Oman. Location: Data was collected at 30 sites in the Jabal Qamar mountain range in western Dhofar, Oman. Methods: The point-centered quarter method was used to sample the composition, density and structure of woody vegetation. Constrained correspondence analysis was used to quantify the effects of livestock browsing on woody plant species composition, whilst effects on plant density were analysed using mixed effects models. Standardised major axis regression was used to examine differences in height-diameter allometry (stunting) under different stocking rates. Results: Fog density, topographic position and long-term stocking rates were found to be important factors affecting woody species composition. We found lower species diversity and plant density, and higher frequencies of unpalatable species, under higher stocking rates. Juveniles showed a stronger response to stocking rates than adults, and several common species exhibited stunted morphology under high stocking rates. Conclusions: Browsing by large-bodied livestock, such as camels and cattle, can substantially alter the species composition, structure, and phytomorphology of woody vegetation in semi-arid woodlands and forests. Juveniles are particularly susceptible to browsing which alters woody vegetation demography and inhibits regeneration potential. Our results support previous suggestions of overstocking in Dhofar and highlight the importance of swift measures to reduce livestock browsing pressure in the Anogeissus cloud forests.
Exploring the Social Construction of Crime by Neighborhood: News Coverage of Crime in Boston

ABSTRACT Information disseminated by the news shapes the way that the public perceives criminal events, often providing a distorted view of crime. Previous research has largely overlooked neighborhoods in discussions of how the news portrays crime. This study examines the ways that the news media report the neighborhoods in which homicides, robberies, and assaults are committed. Multiple theoretical perspectives rooted in the law of opposites and racial typification provide differing explanations for the reporting of crime. Using Boston as a test site, this study employs a content analysis of The Boston Globe crime articles to identify the neighborhoods in which instances of homicide, robbery, and assault receive coverage. A comparison with official crime data from the Boston Police Department suggests differences in neighborhood reporting trends for robbery and assault but not for homicide. Specifically, the news media tend to disproportionately report more robberies and assaults in neighborhoods with lower levels of neighborhood disadvantage. Implications for the social construction of crime and neighborhoods as well as criminal justice response for disadvantaged neighborhoods are discussed.
EVALUATION OF THE SWIMMING ABILITY OF WILD-CAUGHT ONYCHOSTOMA BARBATULA (CYPRINIDAE) AND APPLICATIONS TO FISHWAY DESIGN FOR RAPID STREAMS IN TAIWAN

Onychostoma barbatula, a fi sh species commonly found in the upper- and mid-stream of mountain rivers in Taiwan, is migratory. Its swimming ability within specifi c habitats is likely to be very important to it as the 'maximum critical swimming speed' is considered a main survival factor. To obtain data that might be applied to the design of a fi shway for O. barbatula, a laboratory study of O. barbatula's maximum critical swimming speed was conducted in a circular tank with a high speed video camera system recording their swimming ability and pattern at four water temperatures (12, 16, 20 and 24°C) to refl ect seasonal water temperatures. Specimens of O. barbatula (total body length (BL) ranging from 4.8 to 20.7 cm) were selected and their tail beat frequency (TBF in Hz), tail beat amplitude (TBA), and swimming pattern were measured and compared. Their swimming speed was signifi cantly positively correlated with TBF. Their TBA, ranging from 0.14 to 0.18 BL, was only weakly correlated with swimming speed. When water temperature was increased, their maximum critical swimming speed increased progressively to 13.2 BL s �1 at 16°C but decreased beyond 16°C. In an anatomical study we found that the proportion of red muscle increased signifi cantly between the '45 % of BL' position and the caudal fi n, with the caudal region possessing the greatest proportion of red muscle. Onychostoma barbatula primarily depends on caudal fi n- generated forward thrust and this is no doubt related to the 'fast swimming' requirement imposed by its mountain stream habitat. We design a suitable fi shway that will support the conservation of this species; it should have a minimal width of 9 cm. (for individual fi sh) and a maximal water-fl ow speed of about 126.7 cm s �1 .
Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval

In headset and hearing aid applications, it is of interest to retrieve the user’s own voice in a noisy environment, e.g. for telephony applications. To do so, the cross-power spectral density (CPSD) of the interference-plus-noise is required. In this paper, a novel maximum likelihood (ML) estimator of the interference-plus-noise CPSD matrix is proposed. The proposed method is able to estimate the interference-plus-noise CPSD matrix, even during signal regions with own voice activity. The method uses a novel procedure for estimating the interference-plus-noise CPSD matrix by first estimating the interference PSD and afterwards the noise PSD in a maximum likelihood sense. Simulation experiments, where the proposed method is compared to other noise CPSD matrix estimators, show that it performs on par or better than competing methods, particularly, in situation where the interferenceto-noise ratio is large.
Treatment of Nonunion in the Mandible After Orthognathic Surgery to Correct Transverse Asymmetry of the Face

Purpose: The present study aims to report the reoperation of an unsuccessful orthognathic surgery with the use of heterogeneous graft and hybrid rigid internal fixation. Case Report: We report the case of V.M.S., a 19-year-old female patient with the main complaint of “crooked chin. ” The patient revealed that she previously underwent two operations that were conducted by a different team. The first surgery was carried out to correct the dentofacial deformity, while the second one was intended to eliminate a postoperative infection. After a detailed anamnesis, facial analysis, cephalometric analysis with tomography, and examination of gypsum models, we observed mandibular left-handedness and vertical maxillary excess on the right side. In addition to these previously reported problems, there was a nonunion in the region of the sagittal fracture of the left jaw. Results: The patient underwent surgery to correct dentofacial deformity using the Le Fort I maxillary osteotomy technique and bilateral sagittal osteotomy with hybrid rigid internal fixation plus mentoplasty. Conclusion: Six months following the procedure and orthodontic completion, the patient has a satisfactory occlusion and stability of nonunion without the laterognathism in the skeletal and soft tissue profile.
Secure Symbol-Level Miso Precoding

While constructive interference offers indirect advantages in physical layer security by reducing the transmit power required to achieve a desired performance level, additional gains are possible by choosing the symbols to degrade the eavesdropper’s ability to decode the desired data. An algorithm was recently proposed for this purpose, but it assumes an eavesdropper that employs simple nearest-neighbor decoding, and that only exploits a portion of the space available for destructive interference (DI). In this paper, we modify the technique to exploit the full DI region, but we show that even with this improvement, the general approach is vulnerable to an intelligent eavesdropper who can perform maximum likelihood detection. Based on this observation, we propose an alternative approach that, while requiring increased transmit power, can yield the best possible security.
Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization

The log-determinant optimization problem with general matrix constraints arises in many applications. The log-determinant term hampers the scalability of existing methods. This paper proposes a highly efficient stochastic method that has time complexity $\mathcal{O}$(N2), whereas existing methods have complexity $\mathcal{O}$(N3). In order to achieve the quadratic complexity, the proposed algorithm leverages an efficient stochastic gradient of the augmented Lagrangian form and relies on subgradient descent method. Convergence of this method is analyzed both theoretically and empirically. The resulting primal-dual stochastic subgradient method yields the same accuracy as existing methods yet only requires $\mathcal{O}$(N2) operations.