Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation and Psychometric Properties of the German Version of the Evidence Based Practice Attitudes Scale (EBPAS-36D)

Background: The implementation of evidence-based practice (EBP) in mental health care confers many benefits to patients, and research into factors facilitating the implementation of EBP is needed. As an important factor affecting the implementation of EBP, service providers’ attitudes towards EBP emerged. The Evidence-Based Practice Attitude Scale (EBPAS-36) is an instrument with good psychometric characteristics that measures positive and ambivalent attitudes towards EBP. However, a German version is missing. The present study therefore aims to provide a validated German translation of the EBPAS-36.Methods: The scale was translated and back-translated as recommended by standard procedures. To evaluate the psychometric properties of the translated version, German psychotherapists (N = 599) were recruited to participate in an online survey. They provided demographic and professional information, completed the EBPAS-36, the Implementation Climate Scale (ICS) and the Intention Scale for Providers (ISP). Standard item and reliability analyses and exploratory (EFA) and confirmatory factor analyses (CFA) in two subsamples (random split) were conducted and correlations with demographic and professional characteristics calculated.Results: The item analyses showed a mean item difficulty of pi = . 64, a mean inter-item correlation of r = . 18, and a mean item-total correlation of ritc = . 40. The internal consistency was very good for the total score (α = .89) and ranged from adequate to very good for the subscales (.65 – .89), indicating high reliability. The original factor structure showed an acceptable model fit (RMSEA = .064 (90% CI = .059–.068); SRMR = . 0922; AIC = 1400.77), confirming the 12-factor structure of the EBPAS-36. However, a second-order factor structure derived by the EFA had an even better model fit (RMSEA = .057 (90% CI = .052–.062); SRMR = . 0822; AIC = 1274.56). When the EBPAS-36 was entered in a hierarchical regression model with the criterion Intention to use EBP, the EBPAS-36 contributed significantly to the prediction (Change in R2 = .28, p < .001) over and above gender, age and working in science.Conclusions: The present study confirms good psychometric properties and validity of a German version of the EBPAS-36 in a sample of psychotherapists.
Lightweight Transfer Learning Models for Ultrasound-Guided Classification of COVID-19 Patients

Lightweight deep convolutional neural networks (CNNs) present a good solution to achieve fast and accurate image-guided diagnostic procedures of COVID-19 patients. Recently, advantages of portable Ultrasound (US) imaging such as simplicity and safe procedures have attracted many radiologists for scanning suspected COVID-19 cases. In this paper, a new framework of lightweight deep learning classifiers, namely COVID-LWNet is proposed to identify COVID-19 and pneumonia abnormalities in US images. Compared to traditional deep learning models, lightweight CNNs showed significant performance of real-time vision applications by usingmobile devices with limited hardware resources. Four main lightweight deep learning models, namely MobileNets, ShuffleNets, MENet and MnasNet have been proposed to identify the health status of lungs using US images. Public image dataset (POCUS) was used to validate our proposed COVID-LWNet framework successfully. Three classes of infectious COVID-19, bacterial pneumonia, and the healthy lungwere investigated in this study. The results showed that the performance of our proposedMnasNet classifier achieved the best accuracy score and shortest training time of 99.0% and 647.0 s, respectively. This paper demonstrates the feasibility of using our proposed COVID-LWNet framework as a new mobilebased radiological tool for clinical diagnosis of COVID-19 and other lung diseases. © 2021 Tech Science Press. All rights reserved.
Industrial Corporation’s Transformation into a Digital Platform Provider: A Case Study on Enablers

Digital platforms are among the key drivers of digital transformation. Following the successful example of platform providers within the business-to-consumer (B2C) sector, such as Facebook and Google, B2B companies increasingly strive to tap the potential of digital platforms for their business. Especially for industrial corporations, digital platforms offer novel opportunities to digitalize and to foster inter-organizational collaboration in their networks. Therefore, industrial corporations search for guidance and actionable insights on how to transform into a digital B2B platform provider. For this reason, we conduct a qualitative case study and interview twelve representatives of two companies-an industrial corporation and a start-up-that cooperate to establish a digital B2B platform. Drawing on the dynamic capabilities framework as a theoretical lens, our work identifies seven enablers that foster the transformation of an industrial corporation into a digital platform provider. We find that adopting a service ecosystem perspective supports sensing market opportunities such as complementary service providers to incorporate on the platform. To seize these opportunities and build a digital platform with a cooperation partner, especially social and relational capabilities are required such as establishing a trusting relationship at eye level. Overall, our study offers three valuable contributes to theory and practice. First, it provides empirical insights into B2B platform building and establishing, which is still an under-researched phase. Second, it suggests social and relational aspects in cooperative platform building as a promising area for future research. Third, it equips managers seeking to build digital platforms with actionable guidance with respect to digital transformation and cooperating with platform complementers.
Association of serum apolipoprotein B with cerebrospinal fluid Alzheimer’s disease biomarkers in patients with subjective cognitive decline

Background The preclinical stage of Alzheimer's disease (AD) has become a key target stage for future AD prevention trials. Serum apolipoprotein, an important lipid-related factor, has been found to be involved in the pathogenesis of AD. This study was to examine whether apolipoprotein B (ApoB), apolipoprotein A-1 (ApoA1) or the ratio of ApoB and ApoA1 (ApoB/A1) were associated with early changes of cerebrospinal fluid (CSF) AD biomarkers in elderly adults with subjective cognitive decline. Methods This study included 201 cognitive normal (CN) elderly adults and 101 participants with subjective cognitive decline (SCD) from the Chinese Alzheimer’s Biomarker and LifestylE (CABLE) database. The Kruskall-Wallis test and Chisquare test were applied in the intergroup comparisons. Multiple linear regression models were used to examine the cross-sectional associations of serum ApoB, ApoA1 and ApoB/A1 levels with CSF AD-related biomarkers. Results Compared with the control group, SCD participants with significant AD biological characteristics had lower ApoB levels. In the total participants, higher level of serum ApoB was associated with increases in CSF Aβ42 (p = 0.0009) and Aβ42/40 (p = 0.0038) as well as decreases in CSF t-tau/Aβ42 (p < 0.0001) and p-tau/Aβ42 (p < 0.0001), independent of APOEɛ4 status. In the further subgroup analysis, these associations were much more significant in the SCD participants. In addition, higher levels of serum ApoB were also found associated with decreases in CSF t-tau (p = 0.0224), p-tau (p = 0.0086) and Aβ40 (p = 0.0297) in the SCD subgroup. Furthermore, we found that these protective associations between serum ApoB and CSF AD core biomarkers were much more significant in the overweight participants. Results showed no association between ApoA1 and all CSF biomarkers in either total participants or subgroups. Conclusions This study is the first to find protective associations of serum ApoB, but not ApoA1, with CSF AD core biomarkers in elderly adults, and these associations were more significant in SCD individuals. This finding indicated that ApoB may play a protective role in the preclinical stage of AD. Identifying the underlying mechanisms may contribute to the discovery of new pathogenic mechanisms and therapeutic targets.
Technological Factors Facilitating B40's Motivation in Malaysia to Continue Using Online Crowdsourcing Platform

The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: Ul design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.
Analysis of Lightning-Induced Voltages on a Matched Experimental Overhead Line

This article presents an analysis of 64 lightning-induced voltage waveshapes recorded on a 2.7 km long, nonenergized experimental line located on the campus of the University of São Paulo, São Paulo, Brazil. The line had two conductors separated by 6 m crossarms; one was equipped with surge arresters, whereas the other was unprotected. The data presented in this article refer to the unprotected conductor, which was matched at both ends. Although, strictly speaking, all the recorded voltages were bipolar, they were classified into four categories and the parameters which characterize each type are presented and discussed. About 67.2% of the induced voltages were classified as unipolar (Type I) and, except for one case, all of them had positive polarity. About 20.3% of the voltages were classified as Type II, whose waveshape is composed of two semicycles, the first one of positive polarity. About 9.4% of the recorded voltages were classified as Type III, whose waveshape is also composed of two semicycles, but the first one which a much shorter duration and lower magnitude. Only 3.1% were classified as Type IV, whose waveshape has three semicycles and the peak value occurs in the third one, which has negative polarity and the longest duration.
Leveraging Green Finance for Low-Carbon Energy, Sustainable Economic Development, and Climate Change Mitigation during the COVID-19 Pandemic

This article presents an empirical study carried out to evaluate and analyze green finance for low-carbon energy, sustainable economic development, and climate change mitigation during the COVID-19 pandemic. Building my argument by drawing on data collected from NGFS and UN, I performed analyses and made estimates regarding the transition to a low-carbon/sustainable economy. Data collected from 6,500 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. © 2021, Addleton Academic Publishers. All rights reserved.
Lipids Oxidized Volatile Compounds Profuced in Pine Pollen as affected by Electron-beam Sterilization and Ultra-high Temperature Sterilization

ABSTRACT Pine pollen is rich in unsaturated fatty acids. However, unsaturated fatty acids are oxidized during processing. The oxidation of lipids may affect the odor of pine pollen. Different sterilization methods have different effects on lipid oxidation. In this study, we found that electron-beam sterilization is superior to ultra-high temperature sterilization in odor preservation. Using gas chromatography–mass spectrometry, volatile components were identified in electron-beam sterilization and ultra-high temperature sterilization processed pine pollen. Furthermore, the loss of vitamin C and polyphenols in the processing aggravated lipid oxidation, which made the odor of pine pollen worse. Moreover, lipid oxidase can accelerate lipid oxidation, thus affecting the odor of pine pollen, which was not conducive to the preservation of pine pollen. The results suggested that the components of unpleasant odor were identified as volatile aldehydes and volatile acids, and the odor was mainly produced by the oxidation of linoleic acid.
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers

The presence of outliers (anomalous values) in synthetic aperture radar (SAR) data and the misspecification in statistical image models may result in inaccurate inferences. To avoid such issues, the Rayleigh regression model based on a robust estimation process is proposed as a more realistic approach to model this type of data. This article aims at obtaining Rayleigh regression model parameter estimators robust to the presence of outliers. The proposed approach considered the weighted maximum likelihood method and was submitted to numerical experiments using simulated and measured SAR images. Monte Carlo simulations were employed for the numerical assessment of the proposed robust estimator performance in finite signal lengths, their sensitivity to outliers, and the breakdown point. For instance, the nonrobust estimators show a relative bias value 65-fold larger than the results provided by the robust approach in corrupted signals. In terms of sensitivity analysis and break down point, the robust scheme resulted in a reduction of about 96% and 10%, respectively, in the mean absolute value of both measures, in compassion to the nonrobust estimators. Moreover, two SAR datasets were used to compare the ground type and anomaly detection results of the proposed robust scheme with competing methods in the literature.
Effects of Social Distancing in Reducing the Spread of COVID-19 Pandemic: A Perspective of Bayelsan Residents in Nigeria

This research work essentially explored the efficacy of social distancing in reducing the spread of corona virus disease (COVID-19) in Yenagoa metropolis. The objectives of this study were to examine the level of coronavirus disease and investigate whether social distancing have help reduce the spread of COVID-19 in Bayelsa State, Nigeria. The research design used for this study is survey, the population targeted for this study consists of residents of Yenagoa. Four hundred (400) residents were used as sample size and cluster sampling technique was applied. Instrument used for this study is the questionnaire. Results showed that the level of coronavirus disease in Yenagoa metropolis was below average, and around 70% of respondents strongly agreed that social distancing can help reduce the spread of COVID-19. Following these findings, it is recommended that social distancing and other aseptic measures should be ensured. The study concludes that social distancing can help reduce the spread of COVID-19.
Surgery provides improved overall survival in surgically fit octogenarians with esophageal cancer after chemoradiation therapy

Background Multiple randomized controlled trials have shown that multimodal therapy provides the best overall survival for patients who had locally advanced esophageal cancer. However, it is unknown if multimodal therapy offers the best overall survival in octogenarians. Methods We performed retrospective cohort study using data obtained from the National Cancer Database (NCDB) for octogenarians who had locally advanced esophageal cancer from 2004 to 2015. We evaluated the 5-year overall survival for patients among different therapies. We compared the 5-year overall survival between patients receiving chemoradiation therapy followed by surgery and a propensity-matched group of patients who underwent chemoradiation only. Results There were 21,710 octogenarians (15%) with esophageal cancer in the NCDB database. Among octogenarians, there were 6,960 patients (32%) who had clinical stage II–III esophageal cancer. Among 6,922 patients whose treatment data were available, the most common therapy was chemoradiation (n=3,360, 49%). Two of the most common therapies that included surgical resection were surgery only (n=314, 5%) and chemoradiation therapy followed by surgery (n=172, 2%). Among different treatments, the best 5-year overall survival was achieved in patients receiving chemoradiation therapy followed by surgery (P<0.001). In the propensity score-matched cohort between chemoradiation therapy followed by surgery (n=83) to chemoradiation therapy only (n=83), there was an association with improved 5-year overall survival in the patients who had chemoradiation therapy followed by surgery (17.9%) compared to the patients who underwent chemoradiation only (5.7%, P=0.003). Conclusions Most octogenarians with locally advanced esophageal cancer underwent definitive chemoradiation therapy. Very few patients underwent chemoradiation followed by surgery; however, the multimodality treatment provided increased overall survival. Surgically fit octogenarians should be considered for chemoradiation therapy followed by surgery.
A Self-Matched Multi-Band Rectifier for Efficient Electromagnetic Energy Harvesting

With the rapid development of wireless technologies, the electromagnetic energy scattered in the environment becomes one of the most attractive energy sources for low power devices which are highly demanded in various applications. Since the available electromagnetic signals may have different frequencies, the corresponding receiving antenna and rectifier are required to support multi-band operation to obtain as much energy as possible. However, existing multi-band rectifiers usually have a complex structure or unsatisfactory performance. For this issue, a self-matched rectifying structure is proposed. The theoretical analysis of the proposed configuration demonstrates the unique self-matched characteristics, which is important to implement multi-band operation with simplicity in design procedure and structure. For validation, two rectifiers are designed, fabricated and measured. The dual-band rectifier achieves measured conversion efficiencies of 69.37% and 55.28% at 2.38 GHz and 4.99 GHz with 5 dBm input power in actual measurement, respectively. Owing to the self-matched property, a tri-band design operating at 1.78 GHz, 2.35 GHz, and 4.97 GHz can be easily implemented and achieve efficiency of 60.95%, 71.37%, and 54.01% under test, respectively. Compared with the existing works, the proposed rectifier has high simplicity in both design and structure maintaining high conversion efficiencies at different frequencies.
La Cognición Social en la Esclerosis Múltiple Temprana: Enfoque neuropsicológico y anatómico

Cognitive impairment and deficits in Social Cognition (SC) are frequent in patients with Multiple Sclerosis (MS). The aim of the present work is to study SC in patients with early MS and to analyze its neuroanatomical correlation. Thirty-four patients with relapsing remitting MS, with ≤ 2 years of disease progression and EDSS and ≤ 2, and 30 healthy control subjects matched for age, sex, and educational level were recruited. Subjects performed a comprehensive neuropsychological assessment (Rao BRB). SC was assessed using the International Affective Picture System IAPS, The Eyes in the Mind Test, the Empathy Quotient, and the Faux Pas Test. The anatomical correlation of patients with deficits in social cognition was studied through brain MRI and voxel-based morphometric for which cortical reconstruction and volumetric segmentation were performed us ing Freesurfer processing software. Patients showed significant deficits in executive functions, verbal memory and language tests. SC assessment showed that patients presented greater difficulties in the Faux Pas Test (p = 0.023), The Mind in the Eyes Test (p = 0.014), and presented a posi tive bias in the interpretation of neutral images of the IAPS (P = 0.023). Furthermore, patients with CS deficits presented less cortical thickness in areas of the right supramarginal gyrus, pars opercularis, and anterior cingulum.
The role of e-satisfaction, e-word of mouth and e-trust on repurchase intention of online shop

The purpose of this study was to analyze the relationship between E-Satisfaction, E-Word of Mouth and E-Trust on Repurchase Intention of Online Shop. The approach in the research used is a quantitative approach using PLS-SEM SmartPLS software as a data processing tool. In this study, the data collection technique was carried out using an online questionnaire which was distributed to 150 respondents’ consumers of online shops. Sampling system with snowball sampling method. Based on the results of hypothesis testing, it was found that this study found that satisfaction had a positive and insignificant effect on repurchase intention. This shows that the e-satisfaction of online shop consumers does not significantly affect the repurchase intention of these consumers towards e-commerce online shops. In addition, e-word of mouth has a positive and insignificant effect on repurchase intention. This shows that the higher the e-word of mouth perceived by e-commerce consumers, the less significant customers will repurchase online. E-trust has a positive and significant effect on repurchase intention. This shows that the higher the e-trust perceived by online shop e-commerce consumers, the more customers will repurchase online. The novelty of this research is the new correlation model of e-satisfaction, e-word of mouth and e-Trust on repurchase intention of online shops and the research can be a reference for further research to be applied in other places or countries.
Tourism and economic growth in the Pacific region: evidence from five small island economies

Abstract We present a country-specific analysis on the effect of tourism on the economic growth of five small Pacific Island Countries (PICs) – Fiji, Samoa, Solomon Islands, Tonga and Vanuatu. The results show tourism development is growth-enhancing for all five countries. Foreign direct investment (FDI) is growth-enhancing for Fiji, Samoa, Solomon Islands and Vanuatu, and in the short run, a delayed negative association for Fiji and Vanuatu is found. Remittances are growth-retarding for Fiji, Samoa and Tonga, with a short-run delayed positive association for Fiji, Tonga and Samoa. Financial development is growth-retarding for Solomon Islands and Tonga, with a short-run positive association for Fiji and Samoa. While the results underscore the huge importance of tourism in generating growth and FDI in the Pacific, given the ongoing adverse effects of Coronavirus disease 2019 (COVID-19) pandemic, PICs will have to focus on alternative sectors to progress economic activities. Policy suggestions are discussed along these lines.