Miracle-dz/UniFAR-FTUs huggingface dataset:
Students’ Perceptions of the Classroom Learning Environment and Engagement in Cooperative Mastery Learning-Based Biology Classroom Instruction

Literature confirms that students’ engagement in biology is necessary predictor of their learning outcomes. However, how to do so is less certain. Therefore, this study investigated whether students taught biology using Cooperative Mastery Learning (CML) had different perceptions of learning environment and engagement when compared to those taught using Conventional Teaching Methods (CTM). A sample of 298 students (151 male and 147 female) in 7 intact biology classes was used. A modified What Is Happening In this Class (WIHIC) and Student Engagement Questionnaire (SEQ) were used to collect data. Data were mainly analyzed using the multivariate analysis of variance and simple correlation analysis. The findings indicated a statistically significant difference for all WIHIC and SEQ scales with students in CML scoring higher than students in CTM classes. Students’ perceptions of WIHIC scales were statistically significantly associated with SEQ scales. The findings provide important information about how students’ exposure to CML can help them be more engaged in biology classes. Hence, the CML is a practical instructional strategy with significant implications for teachers, biology syllabus designers, and curriculum planners.
Being careful what we wish for? Challenges and opportunities afforded through engagement with business and management research

Abstract Despite the proliferation of work within construction management that draws upon management and organizational theory, two omissions stand out from the body of published work: the absence of any real debate about the values of rigour and relevance in research; and the under-use of dominant perspectives in business and management research (such as institutional theory) to frame construction management and organizational issues. Drawing specifically upon the ideas of institutional logics and institutional work, this paper explores the tensions, ironies and contradictions of the rigour-relevance debate; and the challenges and opportunities facing construction management research (CMR) and its institutions in furthering management and organizational research agendas. In doing so, attention is directed to the complex, contested and changing nature of the knowledge base within the business and management field; as well as key differences between that community of practice and CMR.
How does instructional leadership influence opportunity to learn in mathematics? A comparative study of pathways for grade 4 students in the U.S. and Belgium

While achievement gaps have been well-established, much remains to be understood about the manner and extent to which school leadership either increases or decreases student access to opportunity to learn. The current study uses nationally representative samples of U.S. and Flemish students in Grade 4 from the 2011 Trends in International Mathematics and Science Study (TIMSS2011) to test a series of structural equation models. U.S. and Belgium have contrasting academic tracking (formal vs informal) systems and Gini Index scores (economic inequality). Flemish schools had no significant paths between student family resources, instructional leadership, and learning; however, for the U.S., we found a negative path across these measures. This current study extends the instructional leadership literature by demonstrating that school leaders can implement goals intended to close achievement gaps but instead might unintentionally exacerbate them.
Real-time implementation of combined Ring-type Magnitude Modulation and LINC techniques on SoC Zynq-7000 Architecture

The development of low-cost systems is a constant goal of Telecommunications engineering, where bandwidth and transmitting power are resources that need to be optimized, especially in mobile devices. In these cases, in which it is necessary to use power amplification (PA) for radio-frequencies (RF), power efficiency becomes one of the main focuses. In most cases, amplification is achieved through high power amplifiers (HPA) with a high level of linearity, which is a requirement in case the signals to transmit have high peak-to-average-power ratio (PAPR), which is typical in signals with high spectral efficiency. One way to avoid this problem is to use the Linear Amplification with Nonlinear Components (LINC) technique. However, digital LINC implementation has large oversampling requirements, as well as its power efficiency gains are limited at the LINC’s combiner stage by the PAPR of the signals to transmit. In the project GLANCES (UID/EEA/50008/2013) from the Instituto de Telecomunicações, a new transmitter front-end architecture was envisioned. Leveraging on the decomposition of high order constellations as a sum of offset-quadrature phase sift keying (OQPSK) signals, is it possible to use LINC techniques on the separate amplification of each OQPSK component, with considerable gains in efficiency due to the much lower OQPSK signal’s PAPR. This performance can even be leverage by a new proposed Ring-Magnitude Modulation (RMM) technique, that warranties a perfect amplitude ring shape of a bandwidth limited OQPSK signal at the input of the LINC amplifier. This thesis aims to develop a proof of concept of the described system, working in real time and supported by a field programmable gate array (FPGA) architecture: Zynq-7000 system on chip (SoC), to implement LINC techniques together with ring-type magnitude modulation (RMM), with two different hardware approaches: 1) a look-up table (LUT) based implementation for each of the LINC and RMM techniques and 2) a LUT based implementation for RMM and a hardware module to perform the LINC decomposition, based in its vectorial form.
Impact of Type 2 Diabetes Mellitus on the Incidence and Outcomes of COVID-19 Needing Hospital Admission According to Sex: Retrospective Cohort Study Using Hospital Discharge Data in Spain, Year 2020

(1) Background: To analyze incidence and in-hospital mortality (IHM) of COVID-19 needing hospital admission in Spain (2020) in patients with T2DM. (2) Methods: We conducted a retrospective cohort study. Using the Spanish Register of Specialized Care-Basic Minimum Database we estimated age-adjusted incidence rates (IR). (3) Results: We included 203,488 patients (56.77% men), of whom 45,620 (22.41%) had T2DM. Age-adjusted IRs/1000 for men with and without T2DM was 12.90 and 5.87, respectively (IRR 2.20; 95% CI 2.18–2.22; p < 0.001), and for women with and without T2DM was 9.23 and 4.27, respectively (IRR 2.16; 95% CI 2.13–2.19; p < 0.001). Crude IHM was 23.86% in people with T2DM, and 15.94% in non-T2DM people (p < 0.001). After matching, intensive-care admission (7.37% vs. 6.15%; p < 0.001) and IHM (23.37% vs. 20.41%; p < 0.001) remained higher in women with T2DM. After matching, IHM among T2DM men was 1.5% higher than among non-T2DM men (24.27% vs. 22.72%; p < 0.001). Men with T2DM had a 34% higher IHM than women with T2DM. Prevalent T2DM increased IHM among women (1.09; 95% 1.03–1.16) and men (1.05; 95% 1.01–1.10). (4) Conclusions: Incidence rates of COVID-19 needing hospital admission were higher in men vs. women, and for people with T2DM vs. non-T2DM. Men had higher IHM beside T2DM status. Prevalent T2DM was associated with higher IHM for both sexes.
Optimizing Convolutional Neural Networks with Transfer Learning for Making Classification Report in COVID-19 Chest X-Rays Scans

The coronavirus disease (COVID-19) outbreak, which began in December 2019, has claimed numerous lives and impacted all aspects of human life. COVID-19 was deemed an outbreak by the World Health Organization (WHO) as time passed, putting a tremendous strain on substantially all countries, particularly those with poor health services and delayed reaction times. This recently identified virus is highly contagious. Controlling the rapid spread of this infection requires early detection of infected people through comprehensive screening. For COVID-19 viral diagnosis and follow-up, chest radiography imaging is an excellent tool. Deep learning (DL) has been used for a variety of healthcare purposes, including diabetic retinopathy detection, image classification, and thyroid diagnosis. DL is a useful strategy for combating the COVID-19 outbreak because there are so many streams of medical images (e.g., X-rays, CT, and MRI). In this study, we used the benchmark chest X-ray scan (CXRS) dataset for both COVID-19-infected and noninfected patients. We evaluate the results of DL-based convolutional neural network (CNN) models after preprocessing the scans and using data augmentation. Transfer learning (TL) is used to improve the algorithm’s classification performance for chest radiography imaging. Finally, features of the attention and feature interweave modules are combined to create a more accurate feature map. The architecture is trained for COVID-19 CXRS using CNN, and the newly generated feature layer is applied to TL architecture. The experimental results found that training enhances the CNN + TL algorithm’s ability to classify CXRS with an overall detection accuracy of 99.3%, precision (0.97), recall (0.98), f-measure (0.98), and receiver operating characteristic (ROC) curve (area = 0.97). The results show that further training improves the classification architecture’s performance by 99.3%.
Implementation of Visual Clustering Strategy in Self-Organizing Map for Wear Studies Samples Printed Using FDM

In general, visual clusters are preferred over large data sets; this is an attempt to take advantage of cluster techniques to reduce the mathematical complexity of small data sets. To identify the possibility of implementing the clustering technique in a small dataset, the wear observations of PLA/Cu composite samples printed using the Fused Deposition Model (FDM) is taken into consideration. In this study, the Self Organizing Map (SOM) tool as a non-supervised Neural Network (NN) is used to visualize the data. Here, SOM combinations with vector quantification and projection are used to identify or rank the wear machinability parameters on the new composite filament printed under different FDM conditions. The competitive layer in SOM will classify the given parameters of the wear machine (vectors) at any number of dimensions may be into several groups of layer neurons. The limitation of SOM is map size which cannot exceed 1000 units of training. However, for the small data set under consideration, the extent of these limits will not affect performance. The SOM algorithm developed for the study of wear provides the outlet within the acceptable range. In addition, the linear regression analysis is carried out for the output response to measure the wear characteristics of the machining observation.
Thyroid and Corticosteroid Signaling in Amphibian Metamorphosis

In multicellular organisms, development is based in part on the integration of communication systems. Two neuroendocrine axes, the hypothalamic–pituitary–thyroid and the hypothalamic–pituitary–adrenal/interrenal axes, are central players in orchestrating body morphogenesis. In all vertebrates, the hypothalamic–pituitary–thyroid axis controls thyroid hormone production and release, whereas the hypothalamic–pituitary–adrenal/interrenal axis regulates the production and release of corticosteroids. One of the most salient effects of thyroid hormones and corticosteroids in post-embryonic developmental processes is their critical role in metamorphosis in anuran amphibians. Metamorphosis involves modifications to the morphological and biochemical characteristics of all larval tissues to enable the transition from one life stage to the next life stage that coincides with an ecological niche switch. This transition in amphibians is an example of a widespread phenomenon among vertebrates, where thyroid hormones and corticosteroids coordinate a post-embryonic developmental transition. The review addresses the functions and interactions of thyroid hormone and corticosteroid signaling in amphibian development (metamorphosis) as well as the developmental roles of these two pathways in vertebrate evolution.
Temporal Niche Overlap of Medium Sized Herbivores in the Seoraksan and Jirisan National Parks, South Korea

Studies on the daily activity patterns of species can contribute to gaining an understanding of community ecology. During the warm seasons of the years 2019 to 2021, we used camera traps to monitor the activity patterns of water deer Hydropotes inermis , roe deer Capreolus pygargus , and Amur goral Naemorhedus caudatus in the Seoraksan and Jirisan National Parks, South Korea. We compared activity patterns among pairs of sympatric species in each area, as well as those of water deer and roe deer populations inhabiting the two parks. Overlaps in activity patterns were estimated based on kernel density function and overlap coefficient analyses, and activity pattern distributions were compared using Watson’s two-sample test. We detected an overlap of the activity patterns of sympatric species and established that there were no significant differences in the distribution of activity patterns in the two areas. However, we detected differences between the Seoraksan and Jirisan sites with respect to the activity patterns of water deer particularly their patterns of nocturnal activity, which could be attributable to differences in community inter-specific interactions and food resources for water deer inhabiting the Seoraksan and Jirisan National Parks.
Deep Learning for Subgrid‐Scale Turbulence Modeling in Large‐Eddy Simulations of the Convective Atmospheric Boundary Layer

In large‐eddy simulations, subgrid‐scale (SGS) processes are parameterized as a function of filtered grid‐scale variables. First‐order, algebraic SGS models are based on the eddy‐viscosity assumption, which does not always hold for turbulence. Here we apply supervised deep neural networks (DNNs) to learn SGS stresses from a set of neighboring coarse‐grained velocity from direct numerical simulations of the convective boundary layer at friction Reynolds numbers Reτ up to 1243 without invoking the eddy‐viscosity assumption. The DNN model was found to produce higher correlation between SGS stresses compared to the Smagorinsky model and the Smagorinsky‐Bardina mixed model in the surface and mixed layers and can be applied to different grid resolutions and various stability conditions ranging from near neutral to very unstable. The DNN model can capture key statistics of turbulence in a posteriori (online) tests when applied to large‐eddy simulations of the atmospheric boundary layer.
The Effect of Financial Literacy, Life Style, Financial Attitude and Locus of Control to Financial Management Behavior

This study was conducted to examine whether Financial Literacy, Lifestyle, Financial Attitude and Locus of Control have an effect on Financial Management Behavior in Accounting Students at Yapis University, Papua. The population in this study were all active and registered accounting students at Yapis University Papua. Samples were taken using purposive sampling method with a sample size of 50 respondents. The data used in this study were obtained using a questionnaire. Data analysis was performed using multiple linear regression analysis. Based on the results of the study, it shows that financial literacy and locus of control have a positive and significant effect on financial management behavior in accounting students at Yapis University, Papua. While lifestyle and financial attitudes have no positive and insignificant effect on financial management behavior in accounting students at Yapis University Papua
PHYSIOLOGICAL RESPONSES OF DAIRY COWS AS A FUNCTION OF ENVIRONMENT IN HOLDING PEN

This research aimed to assess the climatization configuration in a holding pen for dairy cattle considering physiological responses of animals and thermal comfort indexes. Experimental design consisted of 16 cows in a Latin square design containing four groups of four animals (G1, G2, G3 and G4) and four periods (P1, P2, P3 and P4), in which four environments were used as treatments: EXT – external environment (control); SHA – shading with polypropylene mesh, 80% light interception; S+S – shading and water sprinkling; and S+S+V – shading, sprinkling and ventilation. Dry and wet bulb temperature, black globe temperature, wind speed and humidity were recorded during the climatization process, between October 13 and December 7. Subsequently, temperature-humidity index (THI), black globe temperature and humidity index (BGTHI), radiant heat load (RHL) and heat load index (HLI) were calculated. After climatization, respiratory rate (RR), surface temperature (ST), and rectal temperature (RT) were recorded. Animals submitted to EXT presented physiological responses that indicated heat stress. The best physiological response was found in S+S+V, which reduced RR by 58.6% when compared to the other environments.
Factors Associated with Job Stress among Hospital Nurses: A Meta-Correlation Analysis

This study aims to investigate research trends concerning job stress among hospital nurses. Articles about job stress among hospital nurses published in English from 2008 to 2018 were searched. In the first search, 2673 articles were extracted from the MEDLINE, EMBASE, KoreaMed, KERIS, KISS, KISTI, and KMbase databases. Altogether, 154 articles were used in the systematic review and meta-analysis. Thirty-nine variables were explored regarding job stress. Among the major variables, insufficient job control, personal conflict, and burnout had a positive correlation. In contrast, intention to stay, job satisfaction, and personal accomplishment had a negative correlation. In the meta-analysis conducted in relation to a specific conceptual framework, the negative-outcome factors showed significant positive correlations with job stress, whereas the positive-outcome factors showed significant negative correlations with job stress. This study identified factors associated with job stress in nurses through a meta-correlation analysis, and the overall correlation coefficient was relatively high at 0.51. Job factors and moderators had significant meta-correlation coefficients. These results can be utilized in clinical practice and research to help develop intervention programs to relieve job stress among nurses.
Anisi Stellati Fructus, a Significant Traditional Chinese Medicine (TCM) Herb and Its Bioactivity against Gastric Cancer

Anisi stellati fructus (ASF) is the fruit of Illicium verum Hook F. (Chinese star anise), which is native to many countries, and is a significant Chinese medicinal herb. Gastric cancer (GC) is one of the major fatal types of cancers with multiple stages and a poor prognosis. The present review aims to discuss the bioactive properties of ASF and its phytocompounds against GC, with a particular insight into the molecular mechanisms and signaling pathways involved in its anti-GC mechanism. Furthermore, it highlights the potential mechanism of action of major phytocompounds of ASF against GC. Clinical studies (in vitro and in vivo) regarding the action of ASF and its major bioactive compounds such as quercetin, luteolin, kaempferol, d-limonene, and honokiol against GC were reviewed. For this review, search of literature was performed in Science, PubMed, Google Scholar, Web of Science, and Scopus related to ASF and its phytocompounds, from which only relevant studies were chosen. Major bioactive compounds of ASF and their extracts have proven to be effective against GC due to the mechanistic action of these compounds involving signaling pathways that target cancer cell apoptosis, proliferation, and tumor metastasis in GC cells. Existing reports of these compounds and their combinatory effects with other modern anticancer agents have also been reviewed. From its traditional use to its role as an anticancer agent, ASF and its bioactive phytocompounds have been observed to be effective in modern research, specifically against GC. However, further studies are required for the identification of molecular targets and pharmacokinetic potential and for the formulation of anti-GC drugs.
Reduction in Hospital Admissions for Cardiovascular Diseases (CVDs) during the Coronavirus Disease 2019 (COVID-19) Pandemic: A Retrospective Study from a Southern Italian Region in the Year 2020

(1) Background: The COVID-19 pandemic has indirect consequences for healthcare for other diseases, known as collateral damage. This situation heavily affects healthcare systems, causing changes in patterns of hospital admission. During the peak of the coronavirus disease 2019 pandemic, numerous studies reported a reduction in admissions for acute coronary syndrome. The aim of this study was to evaluate the incidence of admissions for cardiovascular diseases in Abruzzo, a region of Southern Italy, in the year 2020 and compare it to the two previous years (2018–2019). (2) Methods: This retrospective study was conducted in Abruzzo, Italy. The monthly number of admissions in the year 2020 was compared to a control period made from the average number of events that occurred in the previous two years (2018–2019). (3) Results: A global reduction in hospital admissions for all the cardiovascular diseases (CVDs) considered was observed. In particular, compared to the control period, in 2020, the number of admissions for ST-segment elevation myocardial infarction (STEMI) was lower by 34 (hospitalization rate ratio, HRR, 0.93; p < 0.001), the number of non-ST-segment-elevation myocardial infarctions (N-STEMI) was lower by 154.5 (HRR 0.89; p < 0.001), the number for acute coronary syndrome (ACS) was 340 lower (HRR 0.90; p < 0.001) and the number for heart failure (HF) was 1424.5 lower than during the control period (HRR 0.73; p < 0.001). (4) Conclusions: The results of this study show the impact of COVID-19 on admissions for CVDs, suggesting the need for strategic measures to overcome the burden of hospitalizations in future years.
Citizenship by vitality: rethinking the concept of health citizenship

ABSTRACT In this article, we develop a concept of health citizenship that is specific, historically informed, and flexible to use in the analysis of different domains of medicine and healthcare. Our starting point is that health citizenship is rooted in notions about the vitality and biological existence of populations and individuals. Key tensions in citizenship vis-à-vis health and illness emerge when ideas of membership of a nation, rights and responsibilities, and the related ethical principles of access, equality, and participation encounter ‘truths’ regarding the vital capacities and characteristics of individuals and populations. Drawing from historical and contemporary examples from Finland, we analyse how biological and medical facts and related expert knowledge enter into and influence the domains in which citizenship is defined and contested. Our concept shares the Foucauldian tenet of biological citizenship, but we expand its scope beyond the focus on recent developments in life sciences and biotechnology, situating it in a broader historical trajectory. Our approach also stresses the specificity of health within the field of social citizenship and offers a more balanced account of the historical development of health citizenship, as compared to the liberal reading focused on the right to health.
A Review of Systemic Biologics and Local Immunosuppressive Medications in Uveitis

Abstract Uveitis is one of the most common causes of vision loss and blindness worldwide. Local and/or systemic immunosuppression is often required to treat ocular inflammation in noninfectious uveitis. An understanding of safety and efficacy of these medications is required to individualize treatment to each patient to ensure compliance and achieve the best outcome. In this article, we reviewed the effectiveness of systemic biologic response modifiers and local treatments commonly used in the management of patients with noninfectious uveitis.