Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework

While different variants of COVID-19 dramatically affected the lives of millions of people across the globe, a new version of COVID-19, "SARS-CoV-2 Omicron," emerged. This paper analyzes the public attitude and sentiment towards the emergence of the SARS-CoV-2 Omicron variant on Twitter. The proposed approach relies on the text analytics of Twitter data considering tweets, retweets, and hashtags' main themes, the pandemic restriction, the efficacy of covid-19 vaccines, transmissible variants, and the surge of infection. A total of 18,737 tweets were pulled via Twitter Application Programming Interface (API) from December 3, 2021, to December 26, 2021, using the SentiStrength software that employs a lexicon of sentiment terms and a set of linguistic rules. The analysis was conducted to distinguish and codify subjective content and estimate the strength of positive and negative sentiment with an average of 95% confidence intervals based upon emotion strength scales of 1-5. It is found that negativity was dominated after the outbreak of Omicron and scored 31.01% for weak, 16.32% for moderate, 5.36% for strong, and 0.35% for very strong sentiment strength. In contrast, positivity decreased gradually and scored 16.48% for weak, 11.19% for moderate, 0.80% for strong, and 0.04% for very strong sentiment strength. Identifying the public emotional status would help the concerned authorities to provide appropriate strategies and communications to relieve public worries about pandemics.
Performance Comparison of 1.5 T Endorectal Coil MRI with NonEndorectal Coil 3.0 T MRI in Patients with Prostate Cancer

Rationale and Objectives— To compare prostate morphology, image quality, and diagnostic performance of 1.5 T endorectal coil MRI and 3.0 T non-endorectal coil MRI in patients with prostate cancer. Materials and Methods— MR images obtained of 83 patients with prostate cancer using 1.5 T MRI systems with an endorectal coil were compared to images collected from 83 patients with a 3.0 T MRI system. Prostate diameters were measured and image quality was evaluated by one ABR-certified radiologist (Reader 1) and one ABR-certified diagnostic medical physicist (Reader 2). The likelihood of the peripheral zone cancer presence in each sextant and local extent were rated and compared with histopathologic findings. Results— Prostate anterior-posterior diameter measured by both readers was significantly shorter with 1.5 T endorectal MRI than with 3.0 T MRI. The overall image quality score difference was significant only for Reader 1. Both readers found that the two MRI systems provided similar diagnostic accuracy in cancer localization, extraprostatic extension, and seminal vesicle involvement. Conclusion— Non-endorectal coil 3.0 T MRI provides prostate images that are natural in shape and that have comparable image quality to those obtained at 1.5 T with an endorectal superior diagnostic performance. These findings suggest an opportunity exists for improving technical aspects of 3.0 T prostate MRI.
Technostress: A catalyst to leave the teaching profession - A survey designed to measure technostress among teachers in Pakistan during COVID-19 pandemic

The world has changed drastically in terms of telecommunication, running online businesses and daily life activities to keep social distancing and to perform the regular everyday tasks since the pandemic COVID-19. Governments have several times declared smart, partial or full lockdowns to deal with the health crisis situation, that has impacted the social activities, gatherings and has impacted the functionality of several professions, including education that are directly or indirectly impacted by the lockdowns. In the education environment the students in large numbers are expected to gather for lectures, labs and meet folks from industry and/or other sectors. The lockdown required the teachers to come up with alternative to meeting in person to online meetings and adapting to online-synchronous and asynchronous teaching styles. To meet the targets set for an academic year, a distinctive rise in e-learning has been observed where teaching and learning is undertaken remotely using digital platforms. This study aims to reveal the impact of computer-assisted teaching on the development of technostress among Pakistani teachers during the pandemic COVID-19. In addition, the role of teachers’ self-efficacy is evaluated and motivation to leave the teaching profession is investigated in the coming endemic climate. The researchers have opted to a quantitative approach with a cross-sectional survey to generalize the statistically obtained results and test hypotheses. A total of 242 teachers at different levels of education voluntarily participated in the research during the lockdown from March to April 2020, where all regular educational activities were suspended and online classes were introduced as an alternative way to meet educational goals. The findings revealed that Learning Teaching Process Oriented and Technical Issues Oriented are the main contributing factors towards the development of technology stress and motivation to leave the teaching profession. Moreover, teachers' perception of self-efficacy in using computers is negatively associated with technology stress. It is recommended that computer-based instructional coaching be designed for teachers prior to engaging them in digitally oriented online courses to improve their self-efficacy in using computers and to promote a well-developed digital infrastructure to avoid the development of technology stress and discouragement for tutelage.
Design of novel 3D auxetic structures based on S-shaped unit-cells

In this study, four novel three-dimensional (3D) warp and woof structures with negative Poisson’s ratio (NPR) were designed and assembled using the interlocking assembly method. The designed structures, including S-shaped auxetic unit-cells (UCs), exhibited NPR properties in two perpendicular planes. Because of the lower stress concentration of S-shaped than conventional re-entrant UCs, this UC was suggested for use in energy absorber structures. Furthermore, the mechanical behavior of the designed structures under quasi-static loading was simulated using the finite element method. In addition, two designed structures were fabricated using fused deposition modeling 3D printing technology and subjected to quasi-static compressive loading. The results of FE simulation and experimental work were verified and good agreement was found between them. Stress–strain diagrams, values of energy absorption (W), specific energy absorption (W s), and NPRs in two perpendicular planes were evaluated. The results showed that four designed auxetic structures had NPR in two perpendicular directions. In addition, stress concentration contours of the structures were investigated using FE simulation. Finally, considering the results of energy absorption and stress concentration for designed structures, the proposed structure to be utilized for energy-absorbing systems was introduced.
Direct CFD prediction of dynamic derivatives for a complete transport aircraft in the dry and heavy rain environment

ABSTRACT Among various aviation meteorological conditions, heavy rain is an important one that may seriously affect aircraft flight safety. Over the past decades, appreciable efforts have been made to study the impacts of heavy rain on aircraft flight performance. Although there has been a consistent conclusion that heavy rain can cause great static aerodynamic performance degradation, such as lift decrease and drag increase, little has been known on the effects of heavy rain on aircraft dynamic flight performance. This article explores the static and dynamic aerodynamic performance of an approximated model of the DLR-F12 transport aircraft in simulated heavy rain environment. A novel synthesised approach is proposed to study the stability dynamic derivatives in a heavy rain condition. The results suggest that heavy rain not only causes more fuel consumption to compensate the lost lift performance but also induces great dynamic flight performance degradations, especially the short-period mode performance, thus seriously threatens aircraft flight safety.
Impact of Industry 4.0 adoption on workload demands in contact centers

This paper examines the impact of Industry 4.0 (I4.0) technologies on employees workload in contact centers. For that, we adopted the NASA task load index questionnaire to assess the workload of 100 employees from different contact centers in India that have been adopting I4.0 technologies. The collected data is analyzed through multivariate techniques. This study is grounded on concepts from the multiple resource theory. Our findings indicate positive and negative effects of I4.0 on employees workload, conditioned on the adopted technologies (i.e., Internet‐of‐Things, cloud computing, big data, machine learning/artificial intelligence, remote monitoring, and wireless sensors) and workload dimensions considered (i.e., mental demand, physical demand, temporal demand, overall performance, effort, and frustration level). Identifying I4.0's impacts on employees workload allows planning of managerial efforts to mitigate potential issues while setting clear expectations related to the digital transformation of contact centers' processes and services.
Prevalence of Electronic Cigarette Use in Saudi Arabia

Background: The electronic cigarette (e-cigarette) was aggressively promoted as a healthier alternative to tobacco smoking. Despite the fact that e-cigarettes gained popularity among youth and young adults, there are no national data assessing the prevalence of e-cigarette use in Saudi Arabia. Objective: The present study aims at establishing the prevalence and correlates of electronic cigarette use among adults in Saudi Arabia. Design and setting: A cross-sectional study was carried out to evaluate the prevalence of using electronic cigarettes in Saudi Arabia through a self-administered questionnaire. The data collected from the questionnaire were focusing on socio-demographic data as well as information on the type of smoking that adults are using. Data were represented in terms of frequencies and valid percentages for categorical variables. Statistical analysis was carried out using SPSS version 26. Results: A total of 3374 participants responded to this questionnaire. Around 26% of this cohort have tried electronic cigarettes at least once in their lives. Additionally, there was a statistically significant difference (p value <0.001) in using smokeless tobacco, where e-cigarette smokers had higher incidence of smokeless tobacco smoking. Also, e-cigarette smokers had significantly higher (p value=0.002) frequency of smoking tobacco. Moreover, e-cigarette smoking was significantly higher among males (p value <0.001), with higher educational levels (p value <0.001) and age group between 18 and 24 years old. Conclusion: Electronic cigarette use is more common among young adults and those who have previously tried tobacco smoking. Other randomized studies are urgent to explore the extent of harmful effects of electronic cigarettes smoking (e-smoking) in the Kingdom.
Discrepancy between the Actions of Glucagon-like Peptide-1 Receptor Ligands in the Protection of the Heart against Ischemia Reperfusion Injury

Tirzepatide is a dual glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) receptor agonist and a promising therapy for type 2 diabetes mellitus (T2DM). GLP-1 is an incretin hormone with therapeutic potential beyond type 2 diabetes mellitus. However, GLP-1 is rapidly degraded by dipeptdyl peptidase-IV (DPP-IV) to GLP-1 (9-36). Exendin-4 (Ex-4) is a DPP-IV-resistant GLP-1 receptor agonist which, when truncated to Ex-4 (9-39), acts as a GLP-1 receptor antagonist. In the present study, hearts isolated from Wistar rats (n = 8 per group) were perfused with a modified Langendorff preparation. Left ventricular (LV) contractility and cardiovascular hemodynamics were evaluated by a data acquisition program and infarct size was evaluated by 2,3,5-Triphenyl-2H-tetrazolium chloride (TTC) staining and cardiac enzyme levels. Hearts were subjected to 30 min regional ischemia, produced by ligation of the left anterior descending (LAD) coronary artery followed by 30 min reperfusion. Hearts were treated during reperfusion with either the non-lipidated precursor of tirzepatide (NLT), GLP-1, GLP-1 (9-36), or Ex-4 in the presence or absence of Ex-4 (9-39). Infusion of GLP-1 (9-36) or Ex-4 protected the heart against I/R injury (p > 0.01) by normalizing cardiac hemodynamic and enzyme levels. Neither GLP-1, NLT, nor Ex-4 (9-39) showed any protection. Interestingly, Ex-4 (9-39) blocked Ex-4-mediated protection but not that of GLP-1 (9-36). These data suggest that Ex-4-mediated protection is GLP-1-receptor-dependent but GLP-1 (9-36)-mediated protection is not.
Resign or carry‐on? District and principal leadership as drivers of change in teacher turnover intentions during the COVID‐19 crisis: A latent growth model examination

Abstract During the COVID‐19 pandemic, teachers in the United States, an already at‐risk occupation group, experienced new work‐related stressors, safety concerns, and work‐life challenges, magnifying on‐going retention concerns. Integrating the crisis management literature with the unfolding model of turnover, we theorize that leader actions trigger initial employee responses but also set the stage for on‐going crisis response that influence changes in teachers' turnover intentions. We apply latent growth curve modelling to test our hypotheses based on a sample of 617 K‐12 teachers using nine waves of data, including a baseline survey at the start of the 2020–2021 school year and eight follow‐up surveys (2‐week lags) through the Fall 2020 semester. In terms of overall adaptation, teachers on average, experienced an increase in work‐life balance and a decrease in turnover intentions over the course of the semester. Results also suggest that district and school leadership provide unique and complementary resources, but leader behaviours that shape initial crisis responses do not similarly affect employee responses during crisis, contrary to theory. Instead, teachers' adaptive crisis response trajectories were triggered by continued resource provision over the semester; increasing provision of valued resources (i.e., continued refinement of safety practices) and improvements in work‐life balance prevented turnover intentions from spiralling throughout the crisis. Crisis management theory and research should continue to incorporate temporal dynamics and identify factors that contribute to crisis response trajectories, using designs and analyses that allow for examination as crises unfold in real time.
Influence of water application levels and plant densities on the plasticity of canola in the central Free State, South Africa

In South Africa canola (Brassica napus L.) is cultivated in rotation with wheat under winter rainfall in the Western Cape Province. Expansion of the crop to the other eight provinces is advocated to reduce a shortage of locally produced plant oils. Moreover, canola can serve as a rotational crop for wheat in the summer rainfall provinces. In the central Free State, agronomic information for canola production is lacking. An experiment with a line source sprinkler irrigation system was conducted to establish the influence of water application levels (175, 233, 295, 351 and 420 mm) in combination with plant densities (25, 50, 75, 100 and 125 plants m−2) on yield responses, yield components and growth parameters of canola. Seed (653–4653 kg ha−1) and stover (1983–6733 kg ha−1) yields induced by the treatment combinations proved that canola has a high level of plasticity. Over the full range of water application levels, highest seed and biomass yields were realised at densities of 25 and 75 plants m−2, respectively. The compensation of yields at lower plant densities was due to the production of more branches, pods and seeds per plant. Under full irrigation, densities of 25 and 75 plants m−2 are optimal for seed and biomass production, respectively.
An Improved Empirical Model for Estimating the Geometry of the Soil Wetting Front with Surface Drip Irrigation

Wetting pattern geometry is useful in determining the spacing between emitters and the irrigation time in drip irrigation systems. This research aimed to generate an empirical model to estimate the width and depth of the wetting front in surface drip irrigation based on experimental tests in a cube-shaped container with transparent walls in soils with a sandy clay loam texture, with hydraulic conductivities from 2.316 to 3.945 cm h−1, and organic matter contents from 1.7 to 2.8%, and different irrigation conditions: discharge rates of 1.44, 2.90, 3.00, 3.75, and 4.00 L h−1, initial moisture levels between permanent wilting point and field capacity, and irrigation times from 0.58 to 9.50 h. The experimental conditions and the strategy for measuring the wetting front and soil moisture are detailed so the experiment is verifiable. The proposed model performed better than five other empirical models, with average values of 3 cm for the root mean square error and 0.88 for the Nash and Sutcliffe efficiency coefficient. The generated model is efficient and simple and can be a very useful tool for the design and operation of surface drip irrigation systems in soils with conditions similar to those of this study.
The inflation-unemployment trade-off: empirical considerations and a simple US-Euro Area comparison

This paper uses recently developed robust estimation methods to empirically reassess the long-standing inflation-unemployment trade-off debate. Indeed, we study to what extent unemployment-based New Keynesian Phillips Curves are informative about the relationship between inflation dynamics and labour market conditions. In particular, we attempt to quantify the ‘elasticities’ of inflation with respect to unemployment of two economies, the US and the Euro Area, which are known to have markedly distinct labour market characteristics. We find that the relevance of the inflation-unemployment trade-off and its empirical adequacy is greatly enhanced once the informational content of key labour market variables is explored in our estimations.
Unified Extended-Frequency Model of Buck Converters Under Different Carriers

From the perspective of the conventional average modeling, a power converter under different modulation modes have the same model. In this article, a unified extended-frequency model for the buck converter working in continuous conduction mode under the general triangular carrier is built, which considers all the sideband effects. Based on the extended-frequency model, more details of the buck converter can be seen and some differences in the dynamic behavior under different modulation modes are revealed, which breaks the traditional cognition. Furthermore, taking leading-edge, trailing-edge, and symmetric pulsewidth modulators as examples, the resulting stability margin differences due to the modulation mode are analyzed, providing guidance for selecting an appropriate modulation mode for a given application. Finally, the experiments are conducted to verify the effectiveness of the proposed model.
Fat-to-lean mass ratio as a new anthropometric indicator in predicting metabolic syndrome among Malay adolescents in Terengganu, Malaysia

Background Metabolic syndrome (MetS) is defined as a cluster of risk factors for predicting type 2 diabetes mellitus and cardiovascular disease. Objectives This cross-sectional study aimed to develop a cut-off value for fat versus lean mass ratio (FLMR) in predicting MetS and to investigate the association between this indicator with MetS and its components. Methods Subjects comprised 238 Malay adolescents (79% female) aged 18–19 years old. Anthropometric assessment comprised weight, height and waist circumference (WC). Body composition was measured using bioelectrical impedance analysis techniques while blood pressure was measured using a blood pressure monitor. Fasting blood glucose, total cholesterol , triglycerides, high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol were determined from an overnight fasting blood sample. MetS was determined based on International Diabetes Federation (2007) definition for adolescents aged 16-year-old and above. Results The prevalence of MetS was 2.1%. Receiver Operating Characteristics curve analysis revealed that the optimal cut-off value for FLMR was 0.441 with an Area Under the Curve of 0.874 (95% CI: 0.825, 0.913); with sensitivity of 80.0% and specificity of 71.0%. FLMR cut-off of 0.441 was associated with high WC (p < .001), low HDL-c (p < .001) and MetS (p < .05). Binary Logistic Regression analysis revealed that adolescents with high WC, low HDL-c and MetS had higher odds of developing increased FLMR than the cut-off value with an odds ratio (OR) of 43.4 (95% CI: 9.7,193.9), 4.7 (95% CI: 2.3,9.8) and 13.3 (95% CI: 1.5,121.2), respectively. Conclusion FLMR possesses fair discriminatory ability in identifying MetS among adolescents and significant association exists between FLMR and MetS and some of its components.
Echocardiography-Guided Left Ventricular Lead Placement for Cardiac Resynchronization TherapyClinical Perspective

Background— Cardiac resynchronization therapy improves mortality and morbidity in patients with heart failure (HF) with wide QRS complex and diminished left ventricular (LV) function, but response is variable. Methods and Results— The Speckle Tracking Assisted Resynchronization Therapy for Electrode Region (STARTER) was a prospective, double-blind, randomized controlled trial testing the hypothesis that an incremental benefit to cardiac resynchronization therapy would be gained by echo-guided (EG) transvenous LV lead placement versus a routine fluoroscopic approach. EG LV lead placement was attempted at the site of latest time to peak radial strain by speckle tracking echocardiography. The prespecified primary end point was first HF hospitalization or death. Of 187 New York Heart Association class II to IV patients with HF (62% ischemic; ejection fraction 26±6%; QRS 159±27 ms), 110 were randomized to EG and 77 to routine strategies. Primary events included 30 deaths and 37 HF hospitalizations over 1.8 years. Using intention-to-treat, patients randomized to an EG strategy had a significantly more favorable event-free survival (hazard ratio, 0.48; 95% confidence interval, 0.28–0.82; P =0.006). Exact or adjacent concordance of LV lead with latest site could be achieved in 85% of the EG group and occurred fortuitously in 66% of controls ( P =0.010) and was associated with an improvement in event-free survival (hazard ratio, 0.40; 95% confidence interval, 0.22–0.71; P =0.002). Conclusions— A strategy of EG LV lead placement for cardiac resynchronization therapy improved patient outcomes by reducing the combined risk of death or HF hospitalizations and has implications for delivery of cardiac resynchronization therapy. Clinical Trial Registration— URL: . Unique identifier: [NCT00156390][1]. [1]: /lookup/external-ref? link_type=CLINTRIALGOV&access_num=NCT00156390&atom=%2Fcirchf%2F6%2F3%2F427.atom