Miracle-dz/UniFAR-FTUs huggingface dataset:
Strength and stiffness of cross laminated timber at in-plane beam loading

This report concerns element strength and stiffness of cross laminated timber (CLT) at in-plane beam loading and includes presentation of experimental investigations and a review of some analytical models for structural analysis. A total of 20 individual tests were carried out, divided into five different test series which each comprise four nominally equal tests. The test series include prismatic beams (two test series), beams with a hole (two test series) and beams with an end-notch (one test series). All CLT elements were composed of 5 layers of laminations, with three layers of longitudinal laminations of width 40 mm and two layers of transversal laminations of width 20 mm.Test results relating to beam strength are presented in terms of maximum applied load and also in terms of stress components as calculated by analytical models. The review of models for stress analysis reveals significant influence of the element layup and laminations width on the predicted stresses. Test results relating to beam stiffness are present as element shear stiffness and element local and global modulus of elasticity, evaluated based on the European test standard EN 408.
Teachers’ social self-efficacy: development and validation of a new scale

Abstract Teachers’ social self-efficacy is an important construct that has not been examined adequately in education yet. Developing a comprehensive understanding of teachers’ social self-efficacy requires measuring these beliefs in the social domain of teachers’ functioning. This study developed the Teachers’ Social Self-Efficacy Scale (TSSES) scale and investigated its psychometric properties in a total sample of 650 preschool teachers from Greece. Results from factor analysis revealed a bi-factor model underlying a global TSSE factor and five specific factors. Evidence of validity was obtained with the TSSES prediction on the closeness and conflict dimensions of teacher–student relationship quality. Findings showed that the TSSES can be considered as a valid and reliable instrument. Implications and directions for further research are discussed.
Transformative Consumer Research: How has the fat body been approached from this perspective in Brazilian research?

Objective: Completing 15 years of Transformative Consumer Research in 2020, this article aims to present an overview of the Brazilian scientific production about how the fat body was approached from this research perspective in this period between 2005 and 2019.Method: To analyze the national scientific production of the fat body in TCR studies from 2005 to 2019, an integrative literature review was carried out according the review steps indicated by Cooper (1984). Thus, a search for the terms "Transformative Research", "Transformative Consumer Research" and "TCR" was carried out in the annals of the main administration events; national journals registered in the SPELL database with Qualis/CAPES 2013-2016 ratings in the strata from B5 to A2 in the area of Administration; and the Brazilian Digital Library of Theses and Dissertations (BDTD). Findings: The results point to a significant growth of publications in TCR in the years 2018 and 2019 but indicate the need to study other groups of vulnerable consumers, in addition to those with some disability, such as consumers of the fat body archetype.Originality: The present study has merit since the results are important to broaden the discussion about the fat body within the theme of consumption, allowing to give visibility to this debate and bringing the theme to the knowledge of managers and market professionals who can contribute to expanding access to consumption by this public; in addition to, specifically, contributing to the propagation of studies from the perspective of transformative research and social marketing, encouraging new researchers and new studies within the aforementioned scopes.
Targeting Extension Programs to Opinion Leaders Guiding Genetic Modification Discussions

Despite communication efforts developed to educate the public about genetic modification (GM) science designed to ensure consumers are making educated purchasing decisions, most consumers do not seek out information about GM science and make emotional purchasing decisions. GM supporters and opponents can also be very vocal about their opinions, having an impact on those within their social realms of influence. Using opinion leadership theory, this study sought to identify GM opinion leaders within the U.S. who consider themselves to be outspoken and a source of information for GM science. An online survey was deployed with the purpose of identifying GM opinion leaders, determining their views on GM science, identifying where they go for information, and determining how they want to learn so that Extension professionals can better serve their needs. The findings imply GM science opinion leaders are younger, white or African American men, with a high average family household income, that are well educated. The GM science opinion leaders have a slightly negative attitude toward GM and want to learn about GM science from universities researching GM science and organizations in support of GM science through online mediums. Recommendations are offered for how Extension professionals can reach this audience.
Exploring the Relationship between Metalinguistic Knowledge and Communicative Competence of Chilean EFL Teacher Trainees

There is enough evidence that Metalinguistic Knowledge (MK) benefits second language (SL) and foreign language (FL) learners’ communicative skills and SL and FL teachers’ classroom performance, therefore it should be an important component in SL and FL teacher training. Very little is known, however, about Chilean English as Foreign Language (EFL) teacher trainees, who are, at the same time, language learners. The study reported here aimed to find out the correlation and regression of future Chilean EFL teachers’ MK and their Communicative Competence (CC). In order to measure their MK, two tests were used: the Metalinguistic Knowledge Test and the Grammaticality Judgement Test. In regard to their CC, the grades of the English CC Development Course were considered. The participants were 59 first year EFL teacher trainees of an EFL teacher training program of a Chilean university. General results show that there is a positive moderate correlation between MK and CC and that the GJT and the MKT explain 26,5 % of the CC Final Grade.
Dirichlet problem on unbounded domains and at infinity

We consider one formulation of the Dirichlet problem for A-harmonic functions on an unbounded domain of a Riemannian manifold. More specifically if M is a connected Riemannian manifold, � M is an unbounded domain, and � : M ! R is a bounded Lipschitz function, then we provide a sufficient condition so that there exists an A-harmonic function u : ! R such that limx! x0 u(x) = �(x0) for every x0 2 @ and |u(x) �(x)| ! 0 as d(x,o) ! 1, where o 2 M is a fixed basepoint. This condition involves geometric inequalities for M and an integral condition for |r�|. We then apply this results in the context of the Dirichlet problem at infinity on a Cartan-Hadamard manifold and prove new solvability results. The existence of globally defined bounded nonconstant harmonic functions on a given Riemannian manifold M = M n depends heavily on the manifold. Yau [13] proved that if M has nonnegative Ricci curvature, then there are no positive (or bounded) harmonic functions other than the constants. This fact and the work of Greene and Wu [5] has motivated people to study the existence of bounded harmonic functions on Cartan-Hadamard manifolds, in other words, complete simply connected Riemannian manifold with nonpositive sectional curvature. Greene and Wu conjectured in [5] that a Cartan-Hadamard manifold M admits a bounded nonconstant harmonic function if
Pulmonary Delivery of Hydroxychloroquine Nanostructured Lipid Carrier as a Potential Treatment of COVID-19

Coronavirus Disease 2019 (COVID-19) is a pandemic caused by severe acute respiratory syndrome coronavirus 2. Pneumonia is considered the most severe and long-term complication of COVID-19. Among other drugs, hydroxychloroquine (HCQ) was repurposed for the management of COVID-19; however, low efficacy and cardiac toxicity of the conventional dosage form limited its use in COVID-19. Therefore, utilizing nanotechnology, a pulmonary delivery system of HCQ was investigated to overcome these limitations. HCQ was formulated in nanostructured lipid carriers (HCQ-NLCs) using the hot emulsification–ultrasonication method. Furthermore, the prepared formulation was evaluated in vitro. Moreover, the efficacy was tested in vivo in a bleomycin-induced acute lung injury mice model. Intriguingly, nanoformulations were given by the intratracheal route for 6 days. HCQ-NLCs showed a mean particle size of 277 nm and a good drug release profile. Remarkably, acute lung injury induced by bleomycin was associated with a marked elevation of inflammatory markers and histological alterations in lung tissues. Astoundingly, all these changes were significantly attenuated with HCQ-NLCs. The pulmonary delivery of HCQ-NLCs likely provided adequate targeting to lung tissues. Nevertheless, there is hope that this novel strategy will eventually lead to the improved effectiveness and diminished probability of alarming adverse drug reactions.
Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study

Background Digital health literacy is the use of information and communication technology to support health and health care. Digital health literacy is becoming increasingly important as individuals continue to seek medical advice from various web-based sources, especially social media, during the pandemics such as COVID-19. Objective The study aimed to assess health professionals’ digital health literacy level and associated factors in Southwest Ethiopia in 2021. Methods An institution-based cross-sectional study was conducted from January to April 2021 in Ethiopia. Simple random sampling technique was used to select 423 study participants among health professionals. SPSS (version 20) software was used for data entry and analysis. A pretested self-administered questionnaire was used to collect the required data. Multivariable logistic regression was used to examine the association between the digital health literacy skill and associated factors. Significance value was obtained at 95% CI and P<. 05. Results In total, 401 study subjects participated in the study. Overall, 43.6% (n=176) of respondents had high digital health literacy skills. High computer literacy (adjusted odds ratio [AOR] 4.43, 95% CI 2.34-5.67; P=.01); master’s degree and above (AOR 3.42, 95% CI 2.31-4.90; P=.02); internet use (AOR 4.00, 95% CI 1.78-4.02; P=.03); perceived ease of use (AOR 2.65, 95% CI 1.35-4.65; P=.04); monthly income of >15,000 Ethiopian birr (>US $283.68; AOR 7.55, 95% CI 6.43-9.44; P<.001); good knowledge of eHealth (AOR 2.22, 95% CI 1.32-4.03; P=.04); favorable attitudes (AOR 3.11, 95% CI 2.11-4.32; P=.04); and perceived usefulness (AOR 3.43, 95% CI 2.43-5.44; P=.02) were variables associated with eHealth literacy level. Conclusions In general, less than half of the study participants had a high digital health literacy level. High computer literacy, master’s degree and above, frequent internet use, perceived ease to use, income of >15,000 Ethiopian birr (>US $283.68), good knowledge of digital health literacy, favorable attitude, and perceived usefulness were the most determinant factors in the study. Having high computer literacy, frequent use of internet, perceived ease of use, perceived usefulness, favorable attitude, and a high level of education will help to promote a high level of digital health literacy.
Fetal and Neonatal Middle Cerebral Artery Hemodynamic Changes and Significance under Ultrasound Detection in Hypertensive Disorder Complicating Pregnancy Patients with Different Severities

Colour Doppler ultrasound was applied for monitoring the hemodynamic parameters of fetal uterine artery (UtA), umbilical artery (UA), and middle cerebral artery (MCA) during pregnancy. In hypertension disease complicating pregnancy, these hemodynamic measures and their therapeutic applicability value were reviewed (HDCP). 120 singleton pregnant women were chosen, with 40 cases of mild preeclampsia (mild group), 40 cases of severe preeclampsia (severe group), and 40 normal control pregnant women (control group). The hemodynamic parameters of UtA, MCA, and UA were monitored in the three groups, including pulsatility index (PI), resistance index (RI), and the systolic/diastolic velocity (S/D). The parameters PI, RI, S/D, and venous catheter shunt rate (Qdv/Quv) of UtA and UA in the severe group were higher than those in the normal group and the mild group, showing the differences statistically significant (P < 0.05). The PI, RI, and S/D of MCA in the severe group were lower than those in the normal group and the mild group (P < 0.05). The changing trends of PI, RI, and S/D in the severe group were all first increased and then decreased in the early, middle, and later pregnancy (P < 0.05). The area under the curve (AUC) was 0.98 in the receiver operating characteristic (ROC) curve created using a combination of hemodynamic measures and pregnancy outcomes, and the sensitivity and specificity for predicting bad outcomes were 94.7 percent and 96.4 percent, respectively. Colour Doppler ultrasound may accurately detect changes in the PI, RI, and S/D of UtA, MCA, and UA in pregnant women and serve as a reference for determining the intrauterine state of the fetuses and predicting bad pregnancy outcomes. In particular, the parameters in later pregnancy were higher worthy of diagnostic value for adverse pregnancy outcomes. The combination of various parameters could make an improvement of the diagnostic accuracy and provide a basis for guiding treatment as well as determining the optimal timing of delivery.
Single Phytoplankton Species Growth with Nonlocal Crowding Effect Caused by Chemosensory Aggregation in a Water Column

In this paper, we study the existence of positive steady states for a nonlocal reaction-diffusion model which describes the growth of a single phytoplankton species with nonlocal crowding effect caused by chemosensory aggregation in a water column. Our result shows that under some conditions, the nonlocal crowding effect is effective to the existence of steady states of phytoplankton populations. Based on a key boundedness Lemma, the main result is proved by fixed point index theory and some analytical techniques.
Enterprise 2.0

Social Media Tools ziehen als Kommunikationsmethode immer mehr in alle Bereiche des Lebens ein. Egal,ob im Privat- oder Berufsleben, stehen Menschen uber Social Tools wie Facebook oder Twitter in standigem Kontakt. Unsere Art miteinander zu kommunizieren und Inhalte auszutauschen verandert sich standig. Dies macht auch vor Unternehmen nicht halt und Social Tools verandern die Arbeitswelt. Begriffe wie Social Business, Social Enterprise oder Social Communication machen den Begriff Enterprise 2.0 noch komplexer. Aber was muss man sich unter all diesen Begriffen vorstellen und wie hangen diese miteinander zusammen? Dieses Buch beinhaltet Blogbeitrage aus dem Blog www.schulzekopp. de, in denen sich der Autor diesen Themen widmet. Erfahren Sie, wie Enterprise 2.0-Projekte zum Erfolg ihres Unternehmens beitragen konnen und warum die IT nur ein Teilaspekt eines jeden Social-Projektes ist.
Preparation of Zein-Based Nanoparticles: Nanoprecipitation versus Microfluidic-Assisted Manufacture, Effects of PEGylation on Nanoparticle Characteristics and Cellular Uptake by Melanoma Cells

Background The manufacture of nanoparticles using manual methods is hampered by its challenging scale-up and poor reproducibility. To overcome this issue, the production of zein nanoparticles entrapping a lipophilic drug model, coumarin-6, by using a microfluidic system was assessed in this study. The influence of PEG density and chain length on zein nanoparticle characteristics, as well as their uptake efficacy in melanoma cancer cells, was also evaluated. Methods Zein nanoparticles were prepared by both manual and microfluidic approaches to allow comparison between the two processes. PEGylated zein nanoparticles with various PEG densities and chain lengths were produced by nanoprecipitation and characterized. Their cellular uptake was evaluated on B16F10 melanoma cancer cells in vitro. Results Zein nanoparticles have successfully been produced by both manual and microfluidic approaches. Parameters such as total flow rate and flow rate ratio of the aqueous and organic phases in microfluidic process, as well as the method preparation and aqueous to organic phase volume ratio during nanoprecipitation, have been shown to strongly influence the characteristics of the resulting nanoparticles. Continuous microfluidics led to the production of nanoparticles with low yield and drug entrapment, unlike nanoprecipitation, which resulted in zein nanoparticles with an appropriate size and an optimal drug entrapment efficiency of 64%. The surface modification of the nanoparticles produced by nanoprecipitation, with lower PEG density and shorter PEG chain length made mPEG5K-zein (0.5:1) the most favorable formulation in our study, resulting in enhanced stability and higher coumarin-6 uptake by melanoma cancer cells. Conclusion mPEG5K-zein (0.5:1) nanoparticles prepared by nanoprecipitation were the most promising formulation in our study, exhibiting increased stability and enhancing coumarin-6 uptake by melanoma cancer cells.
Predicting the 2-Year Risk of Progression from Prediabetes to Diabetes Using Machine Learning among Chinese Elderly Adults

Identifying people with a high risk of developing diabetes among those with prediabetes may facilitate the implementation of a targeted lifestyle and pharmacological interventions. We aimed to establish machine learning models based on demographic and clinical characteristics to predict the risk of incident diabetes. We used data from the free medical examination service project for elderly people who were 65 years or older to develop logistic regression (LR), decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost) machine learning models for the follow-up results of 2019 and 2020 and performed internal validation. The receiver operating characteristic (ROC), sensitivity, specificity, accuracy, and F1 score were used to select the model with better performance. The average annual progression rate to diabetes in prediabetic elderly people was 14.21%. Each model was trained using eight features and one outcome variable from 9607 prediabetic individuals, and the performance of the models was assessed in 2402 prediabetes patients. The predictive ability of four models in the first year was better than in the second year. The XGBoost model performed relatively efficiently (ROC: 0.6742 for 2019 and 0.6707 for 2020). We established and compared four machine learning models to predict the risk of progression from prediabetes to diabetes. Although there was little difference in the performance of the four models, the XGBoost model had a relatively good ROC value, which might perform well in future exploration in this field.
What we can learn from the interactions of food traceable attributes? a case study of Fuji apple products in China

ABSTRACT Using a face-to-face consumer survey in six cities across China to obtain stated-preference data from a choice experiment, this paper examines consumers’ preferences and willingness-to-pay for Fuji apple products’ food traceability, certification and region of origin claims attributes. The results show that consumers are willing to pay a positive premium for food traceable attributes. The paper finds strong complementary effects between food traceable attributes. Besides, substitution and complementary effects between attributes vary over the sample cities. In addition, there is less overlap in the value of certain food attributes in some cities. These findings provide insights into the marketing management strategies.
Genome-Wide Transcription Start Sites Mapping in Methylorubrum Grown with Dichloromethane and Methanol

Dichloromethane (DCM, methylene chloride) is a toxic halogenated volatile organic compound massively used for industrial applications, and consequently often detected in the environment as a major pollutant. DCM biotransformation suggests a sustainable decontamination strategy of polluted sites. Among methylotrophic bacteria able to use DCM as a sole source of carbon and energy for growth, Methylorubrum extorquens DM4 is a longstanding reference strain. Here, the primary 5′-ends of transcripts were obtained using a differential RNA-seq (dRNA-seq) approach to provide the first transcription start site (TSS) genome-wide landscape of a methylotroph using DCM or methanol. In total, 7231 putative TSSs were annotated and classified with respect to their localization to coding sequences (CDSs). TSSs on the opposite strand of CDS (antisense TSS) account for 31% of all identified TSSs. One-third of the detected TSSs were located at a distance to the start codon inferior to 250 nt (average of 84 nt) with 7% of leaderless mRNA. Taken together, the global TSS map for bacterial growth using DCM or methanol will facilitate future studies in which transcriptional regulation is crucial, and efficient DCM removal at polluted sites is limited by regulatory processes.
Application of Soft Skills Among Prospective TVET Teachers to Face the Industrial Revolution 4.0

The development of Malaysia's social and economic capital depends on the younger generation as a result of the country's education system. Education is also the trigger for creativity and the generator of innovation that equips the younger generation with the skills needed to compete in the job market and enable overall economic development. In this regard, in the national education system, teachers play a role as human builders to produce a younger generation in meeting the needs of the ethical industry revolution 4.0 (IR 4.0). Thus, a quantitative study was conducted on final year students who took TVET education programs at IPTAs in Malaysia to review the readiness and knowledge of the soft skills of future TVET teachers to meet the challenges of the Industrial Revolution 4.0. A set of questionnaires containing 62 items including demographics of respondents using 5 Likert scales was constructed using the Google Form application and distributed to a total of 175 respondents. The findings of the study were analyzed using Statistical Package for Social Sciences (SPSS) Version 20 software to identify the mean, standard deviation, and Pearson’s correlation coefficient. Overall, it was found that the level of readiness and acceptance of students towards IR 4.0 is still at a moderate level and there is a significant relationship between the level of students' knowledge of soft skills with the readiness of prospective TVET teachers to face the challenges of the Industrial Revolution 4.0.