Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Edible Film from Corn Starch (Zea Mays L.) on the Quality of Minimally Processed Jackfruit

Minimally processed jackfruits can usually be found in traditional markets, but the fact found that jackfruit is sold unpackaged and the fruit is not fresh, some have even browned and are infested with flies. Refrigerator is usually applied, but this technology is relatively expensive and not all farmers/traders can afford it. Edible film is an alternative that is easily degraded and decomposed by natural composers plus zinc oxide (ZnO) which is a piezoelectric ceramic that has anti-microbial properties. The purpose of this research was to determine the effect of ZnO concentration on the characteristics of edible films and to determine the best concentration of ZnO and its effect on packaging in jackfruit. Variations in the concentration of ZnO used 0%, 3%, 9% and 12%. Observations on jackfruit were carried out at room temperature. Results showed the higher the concentration of ZnO, the better the ability of edible films with ZnO to maintain the quality and shelf life of jackfruit. Edible film with 12% ZnO was able to extend the shelf life of processed jackfruit for at least 5 days at room temperature . Keywords: Hardness, Weight loss, Total dissolved solid, Microbial test, Water content.
Positioning Errors in Panoramic Images Based on the Dentition Type of Patients Referring to the Oral and Maxillofacial Radiology Department of Tabriz Dental School During 2017-2018

Background: Panoramic imaging is a technique to create images of facial structures. Various factors affect the preparation of a high quality and proper panoramic image, such as the patient’s proper position. The aim of this study was to investigate positional errors in panoramic images based on the dentition type of patients referring to oral and maxillofacial radiology department of Tabriz Dental School Methods: This cross-sectional study was conducted in Radiology Department of Tabriz Dental School in 2017-18. Dentition of patients (primary, mixed, permanent, complete edentulous) was determined by radiography. 410 radiography per group (1640 samples) were selected from the archives of Radiology Department by simple random sampling method. one radiologist evaluated all the images in the same condition and in a semi-dark room, in a 21-inch DELL monitor, regarding the presence of each of the positioning errors. Radiographs that were repeated due to positioning errors and poor diagnostic quality were classified as unacceptable radiographic images. Results: In primary, mixed, permanent and edentulous dentitions, not attaching the tongue to the palate were the most errors in the radiographies, with 50.4%, 65.6%, 64.3% and 64.8%, respectively. The presence of 2 errors (563 radiographies, 34.3%) had the highest frequency. 123 radiographies (7.5%) were free of errors. Primary dentition with 95 radiographies (23.2%) had the highest unacceptable radiographies, and edentulous dentition with 29 radiographies (7.1%) had the lowest unacceptable radiographies. Chi-square test indicated that this finding was statistically significant (P <0.001). Conclusions: Positioning error has high prevalence in radiographic images, the most common of which is not attaching the tongue to the palate during radiography. In the primary dentition period, the number of acceptable radiographs was lower than the other periods.
A Robust Automatic Ionospheric O/X Mode Separation Technique for Vertical Incidence Sounders

The sounding of the ionosphere by a vertical incidence sounder (VIS) is the oldest and most common technique for determining the state of the ionosphere. The automatic extraction of relevant ionospheric parameters from the ionogram image, referred to as scaling, is important for the effective utilization of data from large ionospheric sounder networks. Due to the Earth's magnetic field, the ionosphere is birefringent at radio frequencies, so a VIS will typically see two distinct returns for each frequency. For the automatic scaling of ionograms, it is highly desirable to be able to separate the two modes. Defence Science and Technology Group has developed a new VIS solution which is based on direct digital receiver technology and includes an algorithm to separate the O and X modes. This algorithm can provide high‐quality separation even in difficult ionospheric conditions. In this paper we describe the algorithm and demonstrate its consistency and reliability in successfully separating 99.4% of the ionograms during a 27 day experimental campaign under sometimes demanding ionospheric conditions.
Subseasonal Forecasts of Convectively Coupled Equatorial Waves and the MJO: Activity and Predictive Skill

In this study, the contribution of low-frequency (>100 days), Madden–Julian oscillation (MJO), and convectively coupled equatorial wave (CCEW) variability to the skill in predicting convection and winds in the tropics at weeks 1–3 is examined. We use subseasonal forecasts from the Navy Earth System Model (NESM); NCEP Climate Forecast System, version 2 (CFSv2); and ECMWF initialized in boreal summer 1999–2015. A technique for performing wavenumber–frequency filtering on subseasonal forecasts is introduced and applied to these datasets. This approach is better able to isolate regional variations in MJO forecast skill than traditional global MJO indices. Biases in the mean state and in the activity of the MJO and CCEWs are smallest in the ECMWF model. The NESM overestimates cloud cover as well as MJO, equatorial Rossby, and mixed Rossby–gravity/tropical depression activity over the west Pacific. The CFSv2 underestimates convectively coupled Kelvin wave activity. The predictive skill of the models at weeks 1–3 is examined by decomposing the forecasts into wavenumber–frequency signals to determine the modes of variability that contribute to forecast skill. All three models have a similar ability to simulate low-frequency variability but large differences in MJO skill are observed. The skill of the NESM and ECMWF model in simulating MJO-related OLR signals at week 2 is greatest over two regions of high MJO activity, the equatorial Indian Ocean and Maritime Continent, and the east Pacific. The MJO in the CFSv2 is too slow and too weak, which results in lower MJO skill in these regions.
Dense water formation in the eastern Mediterranean under a global warming scenario

Abstract. Dense water formation in the eastern Mediterranean (EMed) is essential in sustaining the Mediterranean overturning circulation. Changes in the sources of dense water in the EMed point to changes in the circulation and water properties of the Mediterranean Sea. Here we examine with a regional climate system model the changes in the dense water formation in the EMed through the 21st century under the RCP8.5 emission scenario. Our results show a shift in the dominant source of Eastern Mediterranean Deep Water (EMDW) from the Adriatic Sea to the Aegean Sea in the first half of the 21st century. The projected dense water formation is reduced by 75 % for the Adriatic Sea, 84 % for the Aegean Sea, and 83 % for the Levantine Sea by the end of the century. The reduction in the intensity of deep water formation is related to hydrographic changes in surface and intermediate water that strengthen the vertical stratification, hampering vertical mixing and thus convection. Those changes have an impact on the water that flows through the Strait of Sicily to the western Mediterranean and therefore on the whole Mediterranean system.
CONTRIBUTION OF NIRDHAN UTTHAN MICROFINANCE INSTITUTION TO SAVING MOBILIZATION AND MANAGEMENT AT MICROENTERPRISES: A CASE STUDY OF RAMKOT BRANCH IN KATHMANDU OF NEPAL

The objectives of this study were to assess the contribution of Nirdhan Utthan Microfinance Institution, Ramkot branch in Kathmandu on saving mobilization and investment in different types of businesses or enterprises and to determine the roles of the microfinance to the economic status of its borrowers and entrepreneurs. The study applied both quantitative and qualitative data using a descriptive research design and case study method. It has employed both primary and secondary sources of data. Thematic analysis was used for primary data. Secondary data was analyzed using simple statistical tools such as tabulation and percentage. The finding has shown that microfinance has been successful to mobilize and manage saving in different business and economic sectors such as agriculture and forestry, cottage industries, services, trading, social and consumption, and other sectors. The finding of the study has also indicated that about 98.70 percent of the borrowers were successful to receive a collateral-free loan from microfinance. Likewise, the analysis reveals that microfinance has been successful to motivate household members to deposit in different saving accounts such as Personal Savings, Central Fund savings, Sambridhi Savings, and Nari savings and to create entrepreneurs. The study has found that microfinance was an important tool to improve the economic status of borrowers and entrepreneurs. Nirdhan Utthan Microfinance Institution should increase its number of borrowers and entrepreneurs and try to collect savings and mobilize them efficiently and effectively to enhance the economic status of the borrowers and stakeholders.
The role of placement and practicum in the professional readiness of ECEC educators working with infants and toddlers

ABSTRACT This study took place in the University of West Attica, Department of Early Childhood Education and Care (ECEC) in Greece, founded in 2018, which focuses on the learning, development and education of children under four years of age. Greece has a split early childhood education system, and there is minimal attention given to infant and toddler research. This study explored students’ views before and after their final practicum through two online questionnaires to identify the effectiveness of the undergraduate programme of studies in preparing ECEC educators for their professional roles. The study also interviewed in-service educators in their first year of employment and graduates who have completed their practicum in a foreign country under the Erasmus+ programme. Findings revealed an overall satisfaction with the existing programme and the effectiveness of the final practicum. Students who completed an Erasmus+ practicum were particularly positive about their experience and the knowledge they acquired, and they encouraged more students to apply for the Erasmus+ mobility scheme. All participants provided useful insights and suggestions for further improving the programme, such as extending the placement and practicum. Implications for ECEC educators’ education are discussed, along with recommendations for future research.
Accurate Interface Schemes for Resistance Thermometers With Lead Resistance Compensation

Simple low-cost interfacing circuits for resistance thermometers are proposed in this article. The proposed circuits are designed to provide many salient features, including simplicity of architecture, lead-wire compensation, constant-current excitation, and requirement of minimal number of analog-to-digital converters (ADCs) for digitization. The first of the proposed circuits uses a twin-Op-amp signal conditioner for three-wire sensor. This circuit is then modified to act as an efficient front-end for four-wire resistance thermometer, and thus negate the effect of lead-wire mismatches. The performance of the proposed circuits is extensively verified using experimental studies. Results show that the nonlinearity and relative error of the developed circuits is less than 0.05% and 0.32%, respectively, when tested with Pt1000 sensor. Finally, a comparison study is performed to show the superiority of the proposed techniques.
What Determines the Health-related Quality of Life of Vietnamese Migrant Workers in Korea?

Purpose: Over time, the number of migrant workers in Korea has shown a steady increase. Notably, among all migrant workers, those from Vietnam constitute the third largest group in Korea. The main objective of this study was to investigate the factors that influence the health-related quality of life of Vietnamese migrant workers. The study aimed to provide essential data for the development of customized nursing intervention programs and policy preparation in the future. Methods: A total of 220 Vietnamese migrant workers aged between 18 and 64, who were employed in Korea through the Employment Permit System and had been residing in the country for more than 91 days, participated in this study. Results: The study results revealed that physical activity (β=.19, p=.002), hope (β=.50, p <. 001), cohabitation with colleagues (β=.16, p =.003), and sleep hour (β=.11, p =. 031) had a statistically significant impact on health-related quality of life. The findings showed that higher levels of physical activity and hope were positively associated with higher health-related quality of life. Moreover, cohabiting with colleagues and sleeping for more than six hours were also significantly related to higher health-related quality of life. Conclusion: Given these findings, it is imperative to develop programs that encourage physical activity and enhance the health-related quality of life of migrant workers from Vietnam. Policymakers and employers should also consider providing adequate living conditions that facilitate cohabitation with colleagues and sufficient time for sleep to improve the health and well-being of migrant workers.
Robust designs for field experiments with blocks

This thesis focuses on the design of field experiments with blocks to study treatment effects for a number of treatments. Small field plots are available but located in several blocks and each plot is assigned to a treatment in the experiment. Due to spatial correlation among the plots, the allocation of the treatments to plots has influence on the analysis of the treatment effects. When the spatial correlation is known, optimal allocations (designs) of the treatments to plots have been studied in the literature. However, the spatial correlation is usually unknown in practice, so we propose a robust criterion to study optimal designs of the treatments to plots. Neighbourhoods of correlation structures are introduced and a modified generalized least squares estimator is discussed. A simulated annealing algorithm is implemented to compute optimal/robust designs. Various results are obtained for different experimental settings. Some theoretical results are also proved in the thesis.
Perspectives of teachers at music schools toward children’s extra-musical abilities promoted by music lessons

Musical activities foster children’s social ability. However, the question remains whether professional music teachers consider musical training to have an influence on extra-musical abilities or only on the acquisition of musical skills. We conducted an online survey to collect open-ended responses regarding this question from over 2,000 music teachers in one of the biggest extracurricular fee-charging music school groups in Japan. Teachers’ free descriptions were classified into non-cognitive skills, and frequently occurring words were extracted through text mining. The results showed that, although the primary goal of music teachers who provide fee-charging lessons may be to teach musical skills to their students, they were aware of the effects of music lessons on children’s non-cognitive development. Our study’s main findings include: (1) despite free-descriptions, 92% of teachers reported that children acquired extra-musical abilities, and 98% of these responses were categorized as non-cognitive skills, (2) the most common responses within non-cognitive skills were “collaboration,” “task performance,” and “engaging with others”, and (3) there was a significant positive correlation between teaching experience and frequency of mentioning non-cognitive skills. Views on extra-musical abilities, which experienced music teachers especially had, may improve less-experienced teachers’ perspectives on teaching as well as their social roles and occupational awareness.
The Advantages of Hybrid 4DEnVar in the Context of the Forecast Sensitivity to Initial Conditions

Hybrid four‐dimensional ensemble variational data assimilation (hybrid 4DEnVar) is a prospective successor to three‐dimensional variational data assimilation (3DVar) in operational weather prediction centers currently developing a new weather prediction model and those that do not operate adjoint models. In experiments using real observations, hybrid 4DEnVar improved Northern Hemisphere (NH; 20°N–90°N) 500 hPa geopotential height forecasts up to 5 days in a NH summer month compared to 3DVar, with statistical significance. This result is verified against ERA‐Interim through a Monte Carlo test. By a regression analysis, the sensitivity of 5 day forecast is associated with the quality of the initial condition. The increased analysis skill for midtropospheric midlatitude temperature and subtropical moisture has the most apparent effect on forecast skill in the NH including a typhoon prediction case. Through attributing the analysis improvements by hybrid 4DEnVar separately to the ensemble background error covariance (BEC), its four‐dimensional (4‐D) extension, and climatological BEC, it is revealed that the ensemble BEC contributes to the subtropical moisture analysis, whereas the 4‐D extension does to the midtropospheric midlatitude temperature. This result implies that hourly wind‐mass correlation in 6 h analysis window is required to extract the potential of hybrid 4DEnVar for the midlatitude temperature analysis to the maximum. However, the temporal ensemble correlation, in hourly time scale, between moisture and another variable is invalid so that it could not work for improving the hybrid 4DEnVar analysis.
Early Detection of Infant Cerebral Palsy Risk based on Pose Estimation using OpenPose and Advanced Algorithms from Limited and Imbalance Dataset

Detection of the risk of cerebral palsy existance in infant phase is critical during human development. The fidgety movements of infant during this phase plays an important role in indication of normal or abnormality of balanced and coordination. Previous researches have shown the possibility of abnormality detection using infant pose estimation. However, in particular for predicting the risk of cerebral palsy (CP) based on the estimation of the infant’s movement poses, it is not optimal in its classification due to the rarity of dataset sources. This research aimed to develop a classifier based on OpenPose and advanced algorithms, including a Long Short-Term Memory (LSTM) network, 1-dimensional Convolutional Neural Network (CNN) combined with LSTM, and Gated Recurrent Unit (GRU), to predict the likelihood of cerebral palsy in infants, where amount of data is limited and there is an imbalance in categories. Such dataset was obtained from Chambers et al. and divided into ‘at-risk’ and ‘healthy’ categories. This research evaluates the performance of different algorithms in classifying infants with cerebral palsy and those without. After perfecting the model, ID CNN combined with LSTM outperformed other models with an accuracy of 0.96. Meanwhile, GRU achieved an accuracy of 0.83, and LSTM achieved an accuracy of 0.77. This research also highlights the potential of using OpenPose and advanced algorithms to accurately predict and prevent cerebral palsy in infants, providing valuable insights for future research in this area.
Body Mass Index Within Multifactor Predictors of Ventral Hernia Recurrence: A Retrospective Cohort Study

Background A ventral hernia is a protrusion of the peritoneum through the defective abdominal wall. Several risk factors increase the likelihood of hernial recurrence. One of the most common risk factors is obesity, defined by the World Health Organization (WHO) as increased body mass index (BMI). Few studies have explored the effects of BMI and other factors on hernia recurrence. Hence, we aimed to investigate the role of increased BMI in hernia recurrence in conjunction with various risk factors such as age, sex, type of hernia, the time elapsed between the occurrence and recurrence, complications of hernia, and procedure. Methods This retrospective cohort study was conducted at King Abdulaziz University Hospital (KAUH). All the patients were admitted between 2015-2022. A total of 1676 medical records were obtained from all patients who underwent hernia repair more than once or were diagnosed with a recurrent hernia during the study period. Results Our study revealed an insignificant correlation between a BMI of more than 25 kg/m2 and the recurrence of inguinal hernias, predominantly indirect hernias. Furthermore, overweight and obese patients experience a longer interval between the first and second hernia repairs. Interestingly, all the patients with inguinal and umbilical hernias had the same diagnosis at the second presentation. However, the findings also included a significant increase in umbilical hernias in individuals with a high BMI and higher recurrence rates among male patients with inguinal hernias. Conclusion BMI higher than 25 kg/m2 increases recurrence rates for umbilical hernias but decreases the recurrence of inguinal hernias.
Risk Assessment and Mitigation Strategy in The Halal Broiler Supply Chain

The chicken meat supply chain process in Indonesia usually starts from suppliers, namely large-scale chicken farmers who are then distributed to medium-scale chicken agents/toke, traditional slaughter chicken traders, then restaurants and housewives as end customers. In such a long supply chain, there may be contamination that can cause the halal status of slaughtered chicken products to be questioned. The problem studied is the potential risk that can cause contamination of halal slaughtered chicken products from suppliers to end customers. Therefore, this study aims to identify the risk of contamination in the halal supply chain of slaughtered chicken products and obtain recommendations for corrective actions so that slaughtered chicken products are maintained halal. Data processing is carried out using manual Interpretive Structural Modeling (ISM) methods, ISM Professional V 5.0 software, MICMAC Analysis, and Failure Mode and Effect Analysis (FMEA). The conclusions obtained from this study are the identification of the risk of contamination of the halal supply chain in slaughtered chicken products consisting of 26 risk elements, recommendations for corrective actions based on the assessment of contextual relationships between risk elements, among others, slaughterers should be given adequate rest time and the number of workers should be adjusted to the workload, and recommendations for corrective actions based on the assessment of the risk level of each element, among others, preferably slaughterers are given education and motivation; Every slaughterer should be required to attend halal slaughterer training; The slaughterer should be motivated to always apply the slaughter training he participates in; ante-mortem should be done before the chickens are delivered; it is best to provide enough containers for chickens after slaughter; And the chicken should be left for up to 3 minutes after slaughter and make sure the chicken has completely died.