Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimisation of energy consumption of a solar-electric dryer during hot air drying of tomato slices

High-energy demand of convective crop dryers has prompted study on optimisation of dryer energy consumption for optimal and cost effective drying operation. This paper presents response surface optimisation of energy consumption of a solar-electric dryer during hot air drying of tomato slices. Drying experiments were conducted with 1 kg batch of tomato samples using a 33 central composite design of Design Expert 7.0 Statistical Package. Three levels of air velocity (1.0, 1.5 and 2.0 ms–1), slice thickness (10, 15 and 20 mm) and air temperature (50, 60 and 70°C) were used to investigate their effects on energy consumption. A quadratic model was obtained with a high coefficient of determination (R2) of 0.9825. The model was validated using the statistical analysis of the experimental parameters and normal probability plot of the energy consumption residuals. Results obtained indicate that the process parameters had significant quadratic effects (P<0.05) on the energy consumption. The energy consumption varied between 5.42 kWh and 99.78 kWh; whereas the specific energy consumption varied between 5.53 kWhkg–1 and 150.61 kWhkg–1. The desirability index method was applied in predicting the ideal energy consumption and drying conditions for tomato slices in a solar-electric dryer. At optimum drying conditions of 1.94 ms–1 air velocity, 10.36 mm slice thickness and 68.4°C drying air temperature, the corresponding energy consumption was 5.6 8kWh for maximum desirability index of 0.989. Thermal utilisation efficiency (TUE) of the sliced tomato samples ranged between 15 ≤TUE ≤58%. The maximum TUE value was obtained at 70°C air temperature, 1.0 ms–1 air velocity and 10 mm slice thickness treatment combination, whereas the minimum TUE was obtained at 50°C air temperature, 2.0 ms–1 air velocity and 20 mm slice thickness. Recommendation and prospect for further improvement of the dryer system were stated.
Determinants of Orthopaedic Service Utilisation among Young People Aged 5-24 Years Old in Zambia

Background Musculoskeletal conditions and/or disorders (MSDs), which affect muscles, tendons and ligaments, are the main causes of disability in many patients even though such disorders can be addressed through orthopaedic care. Little was known on the determinants of Orthopaedic services utilisation among young people between the ages of 5-24 in Zambia.Methods An embedded mixed methods design was used to conduct a hospital based cross sectional study that focused on high and low level of orthopaedic services utilisation. Stratified random sampling was used to draw a sample of 162 children and young people (5-24) from the hospital registers. Purposive sampling was used for eight service providers and convenient sampling for 10 parents and six young people. A data extraction checklist and self-administered questionnaires were for service providers. In-depth interviews with parents and a focus group discussion with six clients aged 15 to 24. Quantitative data was analysed using STATA version 14. Statistical tests included chi square, univariate and investigator led stepwise multiple logistic regression. Content and thematic analysis were done for qualitative data.Results 41 percent of clients had high level of service utilisation. Physiotherapy clients were 84 percent significantly less likely to use services compared to clients from prosthetic and orthotics workshops [AOR 0.16; 95% CI 0.05, 0.59; P=0.01]. Clients living in low density residential areas were 86 percent times less likely to use Orthopaedic services compared to those in high density residential areas [AOR 0.14; 95% CI 0.05, 0.43; P<0.0001]. Participants without Insurance were 83 percent less likely to use Orthopaedic services compared to those with Insurance [AOR 0.17; 95% CI 0.05, 0.55; P=0.003]. At service level, barriers were inadequate financial and human resources. For care givers,key barriers included inadequate information about practices and other essential health actions to manage MSDs at home; costs of transport and fear of marital discord to discuss matters at length.Conclusion The type of service used, area of residence and Health Insurance are significant determinants of Orthopaedic services utilisation. It is highly recommended that such services be decentralised to address key family barriers. Inadequate resources for orthopaedic service provision also need to be adequately addressed.
Whole-genome Sequencing to Track Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission in Nosocomial Outbreaks

During the first wave of the coronavirus disease 2019 (COVID-19) pandemic, outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in healthcare institutions posed a significant problem. Due to limited evidence, guidance on appropriate infection prevention and control (IPC) measures such as the wearing of face masks varied. Here, we applied whole virus genome sequencing (WvGS) to analyze transmission routes of SARS-CoV-2 in hospital-acquired (HA) COVID-19. An investigation was undertaken for all HA cases of COVID-19 from March to April 2020. Fifty SARS-CoV-2 samples were analysed by WvGS and their phylogenetic relationship established. WvGS identified transmission events previously undetected by epidemiological analysis and provided evidence for SARS-CoV-2 transmission between healthcare workers (HCW) and patients and among HCW themselves. The majority of HA COVID-19 cases occurred in patients highly dependent on nursing care, suggesting the likely route of transmission was by close contact or droplet, rather than aerosol, transmission. Mortality among HA COVID-19 infections was recorded as 33%. This study provides evidence that SARS-CoV-2 transmission occurs from symptomatic and asymptomatic HCWs to patients. Interventions including comprehensive screening of HCWs for COVID-19 symptoms, PCR testing of asymptomatic HCWs upon identification of HA cases and implementation of universal use of surgical masks for all clinical care is indicated to prevent viral transmission. Our study highlights the importance of close collaboration between guidance bodies and frontline IPC experts for developing control measures in an emergency pandemic situation caused by a virus with undefined transmission modus.
Application of EKD-CM Method for Quality Assurance Information System Modeling

The purpose of this research is to develop a model of quality assurance information system based on integration of BAN-PT accreditation and ISO 9001: 2008 for ISO certified university, using the approach of "Knowledge Development-Change Management (EKD-CM) method. The EKD-CM method is a method in developing information system model based on the business goal model, business process model up to model information system. The use of this method will improve the knowledge of academic resources on the quality of the study program, provide reasons for alternative solutions from different perspectives, and develop knowledge in support of organizational learning. This study is the next stage of previous research showing a framework of accreditation results of BANT-PT and ISO 9001: 2008. This Research is a type of applied research that uses a qualitative approach. The result of this research is a model of Quality Assurance Information System (QAIS) based on integration of BAN-PT and ISO 0001: 2008 for ISO certified higher education. By using EKD-CM method approach, this modeling will present business purpose model, business process model, and information system modeling (process modeling, data modeling, and Information System architecture modeling ). This quality nassurance information system model will be able to support the change of study program management to improve the accreditation standard of study program significantly .
Macroanatomy and Angiography of Coronary Arteries in Equus asinus

| The present study was investigated the morphological features of the coronary arteries in the donkey. The study was carried on the hearts of thirty adult donkeys. The specimens were injected with red gum milk latex/barium suspension through the right and left coronary arteries. The injected hearts were imaged then preserved in 10% acidified formalin solution before the dissection. The coronary artery is a bilateral coronary type. No anastomosis was observed between both left and right circumflex branches. A high incidence of right coronary dominance was observed. The present study traced rare cases of arterial trifurcation of the left coronary artery along with the presence of a left diagonal branch. The conus arteriosus had supplied by two main branches, R. coni arteriosus dextra from A. coronaria dextra and R. coni arteriosus sinister from A. coronaria sinistra and they were anastomosed together at the margo cranialis . The myocardial bridge as a congenital heart defect was recorded in five specimens. In conclusion, the coronary circulation of donkeys was more similar to those of horses and mules.
Adoption of Renewable Energy Technologies and Energy Source Choice of Households

Renewable energy technologies are the best option for rural peoples until hydroelectric power is well disseminated in the country of Ethiopia where critical energy access and supply problems exist with a poorly ventilated cooking places. The current study examined the factors determining households’ decision to adopt renewable energy technologies and energy source choices in Boset District. A two-stage stratified random sampling was employed to draw a sample of 210 respondents. Binary logit model has revealed that age, family size, education, income, number of livestock owned, landholding size, and training were significant to adopt technologies. On the other hand, multinomial model has indicated that age, family size, landholding size, income, livestock ownership, education, and training have significant role in the modern and mixed energy choices vis-à-vis traditional energy. The study has suggested that continued training and education are required to enhance households’ awareness concerning renewable energy sources.
Rice Plants Disease Classification Using Transfer Learning

A crucial part of the crop protection system in the early and accurate identification of healthy and unhealthy plants. The orthodox methods of identification involve either visual inspection or laboratory testing. Visual inspection involves experience and can vary depending on the individual, which could lead to an error, but laboratory testing takes time and might not be able to give the results quickly. Therefore, in this paper, we propose an image-based machine learning technique to recognize and classify healthy and unhealthy plants. In this work, we have focused solely on the rice plant (Oryza Sativa). The original dataset is available on Kaggle, which includes images of both healthy and unhealthy rice plants. Dataset consists of 501 healthy rice plants and 505 unhealthy rice plants. After validation, we obtained a total of 900 images, including both healthy and unhealthy rice plants. There are 4 models that we use in this experiment: VGG16, VGG19, ResNet50, and InceptionV3. In this project, we tried data augmentation and regularization to improve the performance of our program. After regularization, the results that were obtained improved. However, the results we got when we included data augmentation were worse, so we opted to solely apply regularization. The model that provides the best accuracy for the loss model is VGG19 with 84.4% accuracy and 55.1% loss. The early identification of healthy and unhealthy rice plants using this model could serve as a preventative measure as well as an early warning system. It might also be expanded to create a model for identifying rice plants' health in the actual agricultural fields.
The work competence of Shanghai’s GPs: a cross-sectional study based on self-assessment

Background: General practitioners(GPs) have taken new challenges as requested in a new model introduced in China recently. Unlike some countries where general medicine are well developed, there is a lack of a standard in China that can be generalized to assess GPs’ work competence. The aim of the study was to investigate work competence of GPs in Shanghai’s community health services(CHS) in China by self-assessment, providing evidences for effectiveness of GPs’ post-education and training. Methods: A stratified and proportional cluster sampling method was adopted in this cross-sectional study from 116 CHS in Shanghai. (n=2954). We collected data on GPs demographic variables and work competence which was separated as patient care ability, teaching ability, communication skill and coordination ability, using a self-designed questionnaire. Results: The mean score of patient care ability, teaching ability, communication skill and coordination ability were 76.93±12.55, 63.47±28.97, and 76.31±20.25 on a scale of 100, respectively. GPs who were 30-39 years old, worked in urban CHSs, and participated in GP trainer’s training or had teaching experience got higher scores in patient care ability. Those GPs who worked for 5-20 years in CHS, especially in training CHSs which is involved in post-graduate GPs training program, and participated in GP trainer’s training program had higher scores in teaching ability. As for communication skill and coordination ability, GPs who were older than 30-39 years old and with a senior professional title, worked in training CHSs, participated in GP trainer’s training and had teaching experiences in CHS can got higher scores.Conclusions: There is a large space to improve the patient care ability, teaching ability, communication skill and coordination ability for GPs in Shanghai’s CHS ,especially in teaching ability.
Generation of Cancelable Iris Templates via Randomized Bit Sampling

Iris-based biometric models are widely recognized to be one of the most accurate forms for authenticating individual identities. Features extracted from the captured iris images (known as IrisCodes) conventionally get stored in their native format over a data repository. However, from a security aspect, the stored templates are highly vulnerable to a wide spectrum of adversarial attack forms. The study in this paper addresses this issue by introducing a privacy-preserving and secure biometric scheme based on the notion of locality sensitive hashing (LSH). In this paper, we have generated cancelable IrisCode features, coined as locality sampled code (LSC), which simultaneously provides strong security guarantees and satisfactory system performance. The functionality of our proposed framework pivots around the fact that intra-class IrisCode samples are “close” to each other, due to which they hash to the same location. Alternatively, the inter-class IrisCodes features are comparatively dissimilar and consequently hash to different locations. We have rigorously examined the intrinsic properties of the LSCs by estimating the intra-class and inter-class collision probabilities for two distinct IrisCodes. Furthermore, we have formally analyzed the security guarantees of non-invertibility, revocability, and unlinkability in our model by establishing various bounds on the adversarial success probability. Extensive empirical tests on the CASIAv3 and IITD benchmark iris databases demonstrate the superior performance of our proposed model, for which we have obtained the best EERs of 0.105% and 1.4%, respectively.
THE EFFECTS OF AUGMENTED REALITY ON LEARNING PERFORMANCE AND COGNITIVE LOAD USING THE SPATIAL CONTINUITY PRINCIPLE

In recent years, several studies have provided evidence for the positive impact of augmented reality in language acquisition. In particular, augmented reality as a multimedia learning environment has been found to be potentially more effective than learning using traditional methods, such as paper-based textbooks. According to the cognitive theory of multimedia learning, it can help reduce the extraneous cognitive load and improve learning by employing the spatial continuity principle. In this paper, the impact of the spatial continuity principle on the augmented reality learning system was tested by comparing the cognitive load and learning performance of two separate learning systems. The experimental results showed that the explanation integration system, which applies the principle of spatial continuity to the augmented reality learning system, was more effective in terms of knowledge retention. However, the results on the cognitive load contrasted previous research findings on the spatial continuity principle approach, as no differences were found in the extraneous cognitive load of the learners in the two systems.
Incorporating Memory Processes in the Study of Early Language Acquisition

Critical to the learning of any language is the learning of the words in that language. Therefore, an extensive amount of research in language development has examined how infants learn the words of their language so rapidly. In particular, research on statistical learning has suggested that sequential statistics may play a vital role in the discovery of candidate words, that become available to be mapped to meaning. One important limitation of this previous research is the lack of attention given to the memory processes involved in statistical word learning. Thus, the current set of experiments examine the availability of statistically defined words as object labels after a delay. To examine whether statistics found in speech supports infants’ memory for label-object associations, in Experiment 1, 22to 24-month-old infants were presented with 12 Italian sentences that contained 2 high transitional probability words (HTP) and 2 low transitional probability words (LTP). Ten-minute after familiarization, using a Looking-WhileListening procedure (Fernald et al., 2008), infants were trained and tested on 2 HTP and 2 LTP label-object associations. Results revealed that infants were able to learn HTP but not LTP words, suggesting that HTP words make better labels for objects after a minimal delay. Experiment 2 examined infants’ memory for meaning representations that are statistically defined or not. Stimuli and procedure were identical to that of Experiment 1, except that the 10minute delay was implemented after the referent training phase instead of after the familiarization phase. Infants in Experiment 2 were able to remember both HTP and LTP words when tested following a 10-min delay. Together, the findings suggest that statistical learning facilitates future word learning.
QUALITY OF LIFE OF USERS WITH CHRONIC NON- COMMUNICABLE DISEASES ASSISTED IN PRIMARY HEALTH CARE

Objective: to evaluate the Quality of Life and its association with demographic and clinical characteristics of users with Chronic Noncommunicable Diseases, assisted in Primary Health Care. Method: cross-sectional study with individuals diagnosed with chronic non-communicable disease, developed with sociodemographic/clinical questionnaire and WHOQOL-Bref, in Primary Health Care in a municipality in the northwest of Rio Grande do Sul Brazil, between July 2018 and June 2019. Results: quality of life with lower mean in the Physical domain (59.71) and higher in the psychological domain (73.30). Results with statistical difference for age group in the Physical (p<0.048), Psychological (p=0.041) and Environment (p=0.003) domains, and with the variables color and profession in the Environment domain (p=0.002). Conclusion: the study contributes to direct and strengthen health education actions developed by primary care teams, aiming at quality of life. DESCRIPTORS: Chronic Disease; Primary Health Care; Quality of Life; Noncommunicable Diseases; Community Health Nursing. Cogit. Enferm. 2021, v26:e75515
Personal centered care in long term residences: how to evaluate client satisfaction?

La evaluación de la satisfacción del cliente permite mejorar la calidad de los servicios como resultado del feedback de sus clientes. El propósito de este estudio es desarrollar una escala para evaluar la satisfacción del cliente en el ámbito del modelo de atención centrada en la persona (PCC). Se realizó un estudio transversal, basado en entrevistas personales mediante el uso de un cuestionario de satisfacción del cliente, entre 160 adultos mayores de 12 servicios de atención a largo plazo (LTC). Se realizó un análisis de componentes principales para evaluar la estructura de escala subyacente y se calcularon las cargas de los factores. Se excluyeron las preguntas sobre temas que no son fácilmente evaluados por los ancianos y se reformularon otros ítems para hacerlos preguntas claras y sencillas de comprensión entre los ancianos y sin ambigüedades en cuanto al constructo teórico. Propusimos un instrumento más conciso, sensible a los problemas de cuidado centrado en la persona, para evaluar la satisfacción del cliente con el LTC.
Exploring the roles of school leaders and teachers in a school-wide adoption of flipped classroom: School dynamics and institutional cultures

While the development of digital technologies provides generous resources for educational practices, how the use of information and communication technology (ICT) supports instructional reforms in schools still needs further exploration. The purpose of the study is to understand the roles of school leaders and teachers play in an instructional reform supported by ICT as well as how these roles interact with each other. The study selected a Chinese middle‐high school that successfully had a school‐wide instructional reform supported by ICT as an exemplary case and collected data through document analysis, interviews and observations. The results indicated that the school leadership was critical in the instructional reform. While the executive vice principal was in an essential position as an initiator and strategic planner, the leadership was distributed and stretched over in the school. The school built supporting pedagogical and organizational systems for continuous and collaborative learning and helped the teachers develop four new roles: learners, facilitators to student‐centered learning, collaborators and researchers. [ABSTRACT FROM AUTHOR]
ANALYSIS OF ORGANOLEPTIC PARAMETERS AND HEAVY METALS IN ARTIFICIALLY RIPENED MANGO FRUITS IN PAKISTAN.

Calcium carbide (CaC 2 )is still commonly used as artificial fruit ripening agent for mangoes in many developing countries like Pakistan despite of the major concern of arsenic (As) and other metals contaminations. We used Particle Induced X-ray Emission (PIXE) for the detection of arsenic traces in commercially availableCaC 2 andartificially ripened mangoes (ARM). Presence of harmful arsenic residues in calcium carbide (CaC 2 ) treated fruits provided evidences that arsenic traces were transferred from calcium carbide (CaC 2 ) which is used for ripening. Mature green mangoes were treated with CaC 2 in three different ways (T 1- T 3 ) and were compared to fully ripened mangoes bought from local markets (T 4 ) and non-treated mangoes (T 0 ). Pulverized mango samples were irradiated by 3MeV collimated protons from 5MV tandem accelerator at National Institute of Physics, Pakistan and emitted X-ray spectrum was analyzed using GUPIXWIN to detect significant amount of As traces with differential presence of several other elements. Arsenic presence was further validated and endorsed in mango fruits using Graphite Furnace Atomic Absorption Spectrometry (GFAAS) and Inductivity Coupled Plasma Mass Spectrometry (ICP-MS). Absence of As traces in non-treated control mangoes has provided evidence of As contamination in artificially ripened mangoes is associated with CaC 2 used for ripening. Arsenic residues in CaC 2 treated mangoes can easily added up to already available arsenic exposure towards the limits shown for several cancerous diseases. Present study will not only provide a direct method of arsenic detection in fruits, but also suggest the need of strict implementations and improvements in the existing food safety rules and regulations to completely ban this carcinogenic chemical for its future applications.