Miracle-dz/UniFAR-FTUs huggingface dataset:
A study on adverse events following ChAdOx1 nCoV-19 CovishieldTM vaccination among beneficiaries at tertiary care centre, Hyderabad, India

Background: COVID-19 vaccine in present pandemic situation has been emerged as a blessing in disguise. Studies found to be associated with vaccine side-effects and it is an important factor that influences the confidence of vaccine uptake in general population. Present study was designed to provide an independent evidence on ChAdOx1 nCoV-19 vaccine side effects.Methods: A cross sectional study was conducted between January 2021 and February 2021 at our tertiary care centre among health care workers vaccinated using a validated questionnaire. Study subjects were contacted through phone to know about any adverse events following immunization for 0-24 hours, 24-48 hours and 48-72 hours. Data collected was entered and analysed with MS excel software 2007 and Epi info 3.5. 3.Results: Healthcare workers participated were 1364. Majority of the symptoms following immunization were highest in age group of 18-28 years. Reported symptoms were pain at the site of injection- 619 (45.4%), fever- 423 (31%), Body pains- 318 (23.3%), headache- 189 (13.9%), tiredness- 142 (10.4%), swelling at the site of injection- 40 (2.9%), dizziness- 30 (2.2%), redness at the site of injection- 25 (1.8%), joint pains- 23 (1.7%), rash- 06 (0.4%), Breathlessness- 03 (0.2%) respectively.Conclusions: Overall results found the occurrence of side-effects which are in terms of manufacturer’s data and it has been noticed in young age. This study imparts the confidence for taking vaccination and further studies are required to minimize vaccine hesitancy (VH) and strengthen the public to boost their confidence in present vaccination drive.
English Teachers' Perceptions to Authentic Assessments

Authentic assessment is a meaningful measurement significantly over the study of students to the domain of attitudes, knowledge, and skills. In applying authentic assessment to determine the learning outcomes of students, teachers apply the criteria relating to the construction of knowledge, and try to observe activity, and value beyond school achievement. The purpose of this authentic assessment is to measure a variety of skills in a variety of contexts that reflect real-world situations where those skills are used. The types of authentic assessment in the curriculum in 2013 include performance assessment, portfolio assessment, project assessment, and a written assessment. Stages in authentic assessment in the 2013 curriculum are included analysing core competencies and basic competence. Basic competence determines the appropriate foundation to learning, to develop indicators of basic competencies chosen, and determining aspects, forms, rubrics, and assessment instruments. In order to implement effective authentic assessment the teacher must clearly understand the objectives to be achieved. This research has purposed to expose the response from the language teachers in Ambon after having curriculum 2013 training. The results show the teachers are grouped into two major opinions, the optimistic and pessimistic teachers.
Resource Allocation with Sigmoidal Demands: Mobile Healthcare Units and Service Adoption

Problem definition: Achieving broad access to health services (a target within the sustainable development goals) requires reaching rural populations. Mobile healthcare units (MHUs) visit remote sites to offer health services to these populations. However, limited exposure, health literacy, and trust can lead to sigmoidal (S-shaped) adoption dynamics, presenting a difficult obstacle in allocating limited MHU resources. It is tempting to allocate resources in line with current demand, as seen in practice. However, to maximize access in the long term, this may be far from optimal, and insights into allocation decisions are limited. Academic/practical relevance: We present a formal model of the long-term allocation of MHU resources as the optimization of a sum of sigmoidal functions. We develop insights into optimal allocation decisions and propose pragmatic methods for estimating our model’s parameters from data available in practice. We demonstrate the potential of our approach by applying our methods to family planning MHUs in Uganda. Methodology: Nonlinear optimization of sigmoidal functions and machine learning, especially gradient boosting, are used. Results: Although the problem is NP-hard, we provide closed form solutions to particular cases of the model that elucidate insights into the optimal allocation. Operationalizable heuristic allocations, grounded in these insights, outperform allocations based on current demand. Our estimation approach, designed for interpretability, achieves better predictions than standard methods in the application. Managerial implications: Incorporating the future evolution of demand, driven by community interaction and saturation effects, is key to maximizing access with limited resources. Instead of proportionally assigning more visits to sites with high current demand, a group of sites should be prioritized. Optimal allocation among prioritized sites aims at equalizing demand at the end of the planning horizon. Therefore, more visits should generally be allocated to sites where the cumulative demand potential is higher and counterintuitively, often those where demand is currently lower.
Database management system for mobile crowdsourcing applications

The evaluation of mobile crowdsourcing activities and reports require a viable and large volume of data. These data are gathered in real-time and from a large number of paid or unpaid volunteers over a period. A high volume of quality data from smartphones or mobile devices is pivotal to the accuracy and validity of the results. Therefore, there is a need for a robust and scalable database structure that can effectively manage and store the large volumes of data collected from various volunteers without compromising the integrity of the data. An in-depth review of various database designs to select the most suitable that will meet the needs of a real-time, robust and large volunteer data handling system is presented. A non-relational database was proposed for the mobile- end database: Google Cloud Firestore specifically due to its support for mobile client implementation, this choice also makes the integration of data from the mobile end-users to the cloud-hosted database relatively easier with all proposed services being part of the Google Cloud Platform; although it is not as popular as some other database services. Separate comparative reviews of the Database Management System (DBMS) performance demonstrated that MongoDB (a non-relational database) performed better when reading large datasets and performing full-text queries, while MySQL (relational) and Cassandra (non-relational) performed much better for data insertion. Google BigQuery was proposed as an appropriate data warehouse solution. It will provide continuity and direct integration with Cloud Firestore and its Application Programming Interface (API) for data migration from Cloud Firestore to BigQuery, and the local server. Also Google BigQuery provides machine learning support for data analytics.
Development and optimization of operational parameters of a gas-fired baking oven

This study presented the development and optimization of operational parameters of an indigenous gas-fired bread-baking oven for small-scale entrepreneur. It is an insulated rectangular box-like chamber, made of galvanized-steel sheets and having a total dimension of 920mm×650mm×600mm. This oven consists of two baking compartments and three combustion chambers. The oven characteristics were evaluated in terms of the baking capacity, baking efficiency and weight loss of the baked bread. The physical properties of the baked breads were measured and analyzed using Duncan multiple range test of one way ANOVA at significant level of p<0.05. These properties were optimized to determine the optimum baking temperature using 3D surface response plot of Statistical Release 7. The baking capacity, baking efficiency, weight loss and optimum baking temperature were: 12.5 kg/hr, 87.8%, 12.5 g, 200-220C, respectively. The physical properties of baked bread dough were found to correspond with the imported product (control sample). These results showed that, the developed gas-fired baking oven can be adopted for baking of bread at domestic and commercial levels. Development and optimization of operational parameters of a gas-fired baking oven Afolabi Tunde MORAKINYO, Babatunde OMIDIJI, and Hakeem OWOLABI
Evaluating city-scale urban mobility restriction in Jakarta due to the COVID-19 pandemic: the impact on subjective wellbeing

ABSTRACT The COVID-19 pandemic has forced cities worldwide to implement social distancing on a large scale and even lockdowns. City lockdowns are considered a public health policy to reduce virus spread and at the same time to protect vulnerable groups of the population. However, studying the implications of city lockdowns on urban populations’ mental and emotional wellbeing has been widely neglected. Using a case study of Indonesia’s capital and the largest metropolitan area of Jakarta, this study investigates the temporal dynamics of emotions experienced by the citizen during two months of city-scale lockdown. This paper uses Twitter text data as the source for emotional analysis with almost 9000 tweets. The study suggests that positive emotions were more common than negative texts across all periods under study, with lockdown acting as momentum for enhancing family gatherings and serving as a reminder of the importance of health, as the common positive emotions identified. The study provides evidence on the possibility of crowdsourcing data such as Twitter as an alternative source of data for urban analytics that allows researchers to understand the effect of activities and events in a certain location on its citizens.
Properties of Saharan Dust Versus Local Urban Dust—A Case Study

On June 29–30, 2019, the Barcelona Dust Forecast Center with Non‐hydrostatic Multiscale Model (NMMB/BSC‐Dust) and the Navy Aerosol Analysis and Prediction System forecasted huge amounts of mineral dust over Poland. The Hybrid Single Particle Lagrangian Integrated Trajectory model confirmed uniquely fast (120 hr) long‐range air‐mass transport form North Africa to Poland. This remarkable dust event was observed using lidar at the Aerosol, Clouds and Trace Gases Research InfraStructure site in Warsaw, Central Poland; the only site equipped with Raman‐Mie polarization water vapor lidar in East‐Central Europe. The excellent capabilities of PollyXT lidar allowed to obtain an impressive number of 31 full sets of aerosol optical properties profiles, which enabled study of dust properties evolution on a rare hourly scale. The analyses were completed with the separation of fine and coarse mode dust particles form non‐dust particles using the POlarization‐LIdar PHOtometer Networking algorithm. Huge amount of an exceptionally pure mineral dust from Sahara measured in the free troposphere was characterized by a gradually decreasing coarse dust fraction (76%–21%) with a peak of fine dust fraction (67%) and particle linear depolarization ratio (26%) in the middle of the event. Within the boundary layer, a local urban dust mixed with pollution was observed with fine mode dust particles dominating (44%) and lower particle linear depolarization ratio (7.4%). The influx of pure mineral dust has been unique to this geographical region and will therefore be a reference point for future research and comparative studies.
Perception of major life events and personality trait change

Major life events can trigger personality trait change. However, a clear, replicable pattern of event-related personality trait change has yet to be identified. We examined whether the perception of major life events is associated with personality trait change. Therefore, we assessed young adults’ personality traits at five measurement occasions within 1 year. At the second measurement occasion, we also assessed their perception of a recently experienced major life event using the Event Characteristics Questionnaire. Contrary to our expectations, perceived impact of the event was not associated with the amount of personality trait change, but perceived valence was associated with changes in agreeableness and neuroticism. Exploratory analyses revealed some weak associations between other perceived event characteristics and the amount of personality trait change as well as interactions between perceived event characteristics and event categories in predicting changes in neuroticism. In general, effect sizes were small, and associations depended on the time interval between pre-event and post-event personality assessment. Results indicate that perceived event characteristics should be considered when examining event-related personality trait change.
Numerical simulation of the influence of pores sizes on moisture migration dynamic in masonry wall

The sometimes extreme hydro-climatic stresses that buildings undergo can lead to significant deterioration which can lead to their collapse. The concern to realize durable works and ensuring a comfortable framework for the life of occupants leads to seek effective solutions, as well for the new construction as for the renovation of old construction, answering the sempiternal problem of harmful action of water on buildings materials. This paper proposes a numerical simulation of moisture migration in concrete building walls, the aim being to highlight the influence of pore size on the kinetics of moisture migration, and its gradient in the wall. A mathematical model taking into account the mechanisms of moisture migration due to liquid moisture gradient and by vapor diffusion is proposed; the discrete formulation of the equa-tion by the numerical scheme of Crank Nicolson is then carried out, and results from computer modeling using Matlab software version 7.10. 0.499 (R2010a), show that pore size is a key parameter that influences the dynamics of moisture migration in the wall. Indeed, this parameter qualitatively and quantitatively influences the kinetics of moisture migration, as well as it gradient in the concrete wall. It appears a greater migration dynamic when the pores sizes decrease, means a greater kinetics of moisture migration and lower moisture gradient in the walls at the hygrometric equilibrium, for a decreasing pore size.
Information seeking and information sharing during the COVID-19 pandemic

ABSTRACT Based on the risk information seeking and processing model, this study examines socio-psychological variables that influence the American public’s information seeking and information sharing at different stages of the COVID-19 pandemic. Data were collected through three surveys that spanned from February to April, 2020. Results indicate that people seek and share information mostly to fulfill social expectations regarding their own knowledge of the pandemic. Individuals who perceive information about the pandemic on social media as credible are more likely to share information. Those who view themselves as capable to gather information are more likely to seek information, but this perceived ability is related to information sharing only as the pandemic becomes more pertinent to Americans. Consistent with past research, people with higher risk perception report stronger affective response to the pandemic, which increases their information insufficiency. This need for information, however, is not consistently related to seeking and sharing.
Associations of preschoolers’ language skills with aggressive behaviour, positive peer relations, and the hostile intent attribution from preschool to early adolescence

ABSTRACT Deficits in language skills are a risk factor for later aggressive behaviour. However, previous research has mainly addressed clinical or high-risk samples and relations between language and aggressive behaviour in preschoolers and children in primary school. Based on a German longitudinal project with N = 547 typically developing children, the present study investigated whether the effects of young children’s language skills on their aggressive behaviour and their hostile intent attribution (HIA) can still be observed in adolescence. Path models showed that language at age 3 predicted aggressive behaviour (measured with self-ratings of various facets of aggression) and HIA (assessed with the Intent Attributions and Feelings of Distress Measure adopted from) over a 10-year period, while controlling for important child and family characteristics and initial levels of aggressive behaviour at age 3. Moreover, the predictive impact of early language on aggressive behaviour was mediated by HIA but not by parental ratings of their children’s positive peer relations with classmates at age 7. Implications and directions for future research are proposed.
“We Were Absolutely in the Dark”: Manifest Content Analysis of Developmental Disability Nurses’ Experiences During the Early COVID-19 Pandemic

People with developmental disabilities (DD) are devastatingly impacted by COVID-19, yet no studies have explored the experiences of developmental disability nurses during the pandemic. In April 2020, as part of a multiple method study, we used manifest content analysis to evaluate nurses' 287 open-ended responses to our online survey question: "What is the experience of being a developmental disability nurse while encountering challenges to meeting basic care needs during the early COVID-19 pandemic? " We identified four themes: living with fear and stress, helping others to understand and cope, navigating a changing landscape, and being left out. Findings reinforce the need for accessible health information for people with developmental disability, guidelines relevant to developmental disability nursing settings, emotional support for developmental disability nurses, and education of health care professionals about the contribution of the developmental disability nurse in supporting the holistic well-being of people with DD.
Performance Evaluation of Elliptical and Multi-part Mirrors for Concentrating Diffused Light onto Collector Surface from Half Celestial Sphere

An elliptical mirror has a mirror surface at the first focal point on a plane perpendicular to its central axis, which, in turn, passes through the first and second focal points. It can collect diffused light from a half celestial sphere, which extends 360◦ in the axial rotation direction and 180◦ in the axial direction at the second focal point. An elliptical mirror allows only the light incident on the first focal point to be concentrated on only the second focal point. A single elliptical mirror consists of only one elliptical mirror. A multi-part mirror is composed of multiple elliptical mirrors. In a multi-part elliptical mirror, the first focal point lies on its surface, and the second focal point is so positioned that it is aligned with the top of its surface. A multi-part mirror can concentrate diffused light from a wider area than a single elliptical mirror because its first focal points are dispersed. Furthermore, in a single elliptical mirror, only the light incident on the first focal point is concentrated on only the second focal point; therefore, the light-concentrating efficiency is low. In this study, we installed a collector surface on the second focal point of an elliptical mirror to increase its light-concentrating efficiency. Subsequently, we evaluated single elliptical and multi-part mirrors that capture the diffused light from a half celestial sphere not incident on the first focal point and concentrate it on the collector surface as well as the second focal point. We configured a coordinate system for the design of single elliptical and multi-part mirrors and subsequently analyzed the mechanism by which the light will strike these designed mirrors and concentrate on their collector surfaces. Based on the design values, we manufactured actual single elliptical and multi-part mirrors, which were illuminated with diffused light, and measured the illuminance of the light concentrated on their collector surfaces. Finally, we evaluated the light-concentrating performance of these mirrors based on the analysis results and measured illumination.
Bovine Leukaemia Virus: Current Epidemiological Circumstance and Future Prospective

Bovine leukaemia virus (BLV) is a deltaretrovirus that is closely related to human T-cell leukaemia virus types 1 and 2 (HTLV-1 and -2). It causes enzootic bovine leukosis (EBL), which is the most important neoplastic disease in cattle. Most BLV-infected cattle are asymptomatic, which potentiates extremely high shedding rates of the virus in many cattle populations. Approximately 30% of them show persistent lymphocytosis that has various clinical outcomes; only a small proportion of animals (less than 5%) exhibit signs of EBL. BLV causes major economic losses in the cattle industry, especially in dairy farms. Direct costs are due to a decrease in animal productivity and in cow longevity; indirect costs are caused by restrictions that are placed on the import of animals and animal products from infected areas. Most European regions have implemented an efficient eradication programme, yet BLV prevalence remains high worldwide. Control of the disease is not feasible because there is no effective vaccine against it. Therefore, detection and early diagnosis of the disease are essential in order to diminish its spreading and the economic losses it causes. This review comprises an overview of bovine leukosis, which highlights the epidemiology of the disease, diagnostic tests that are used and effective control strategies.
Plasmatic Magnesium Deficiency in 101 Outpatients Living with Type 2 Diabetes Mellitus

(1) Background: Magnesium deficiency is usually associated with type 2 diabetes mellitus (T2DM). Individuals living with T2DM with hypomagnesemia show a more rapid disease progression and have an increased risk for diabetes complications. (2) Methods: This is a cross-sectional and descriptive study in the National Institute of Nutrition and Food Technology of Tunis in Tunisia, including all adult outpatients (≥18 years old) with a diagnosis of T2DM from 1 September 2018 to 31 August 2019. The aim of this study was to evaluate the prevalence of plasmatic magnesium deficiency in a Tunisian population of T2DM and to study the relationship between magnesium status and intake, glycemic control and long-term diabetes-related complications. (3) Results: Among the 101 T2DM outpatients, 13 (12.9%) presented with a plasmatic magnesium deficiency. The mean age was 56 ± 7.9 years with a female predominance (62%, n = 63). The mean of the plasmatic magnesium level was 0.79 ± 0.11 mmol/L (0.5–1.1), and the mean of 24 h urinary magnesium excretion was 87.8 ± 53.8 mg/24 h [4.8–486.2]. HbA1c was significantly higher in the plasmatic magnesium deficiency group than the normal magnesium status group (10% ± 1.3 vs. 8.3% ± 1.9; p = 0.04), with a significant difference in participants with a poor glycemic control (HbA1c > 7%) (100%, n = 13/13 vs. 53%, n = 47/88; p = 0.001). A weak negative relationship was also found between plasmatic magnesium and HbA1c (r = −0.2, p = 0.03). Peripheral artery disease was more commonly described in individuals with low plasmatic magnesium levels than in individuals with normal levels (39%, n = 5 vs. 0%, n = 0; p < 0.001). The mean plasmatic magnesium level in participants without diabetic nephropathy and also peripheral artery disease was significantly higher compared to individuals with each long-term diabetes-related complication (0.8 mmol/L ± 0.1 vs. 0.71 mmol/L ± 0.07; p = 0.006) and (0.8 mmol/L ± 0.1 vs. 0.6 mmol/L ± 0.08; p < 0.001), respectively. (4) Conclusions: Hypomagnesemia was identified in individuals with T2DM, causing poor glycemic control and contributing to the development and progression of diabetes-related microvascular and macrovascular complications.