Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF BEETROOT BISCUITS (Beta vulgaris) ON THE HEMOGLOBIN LEVEL OF PATIENTS WITH PULMONARY TUBERCULOSIS

hemoglobin levels in patients with pulmonary tuberculosis. This study aimed to examine the effect of beetroot biscuits consumption on the increase of hemoglobin levels in patients with pulmonary tuberculosis at the Integrated Service Unit of the Pulmonary Central Hospital of North Sumatera. The research design was quasi experimental and used pre-tests and post-tests without a control approach. This study was conducted with a sample of 100 patients selected using the purposive sampling technique. Firstly, the hemoglobin level of the patients was measured. Then, beetroot biscuits were given to the patients for thirty days as the intervention. A Wilcoxon test was performed to pinpoint the differences between the pre-test and post-test results. It was found that there was a 2.01 gr/dl increase in hemoglobin after beetroot biscuits were given to patients with pulmonary tuberculosis at the Integrated Service Unit of the Pulmonary Central Hospital of North Sumatera. It was also found that the differences were significant when comparing the average level of hemoglobin before and after the intervention with a p value of 0.000. This study suggests that doctors and nurses play important roles in constructing patients’ knowledge and understanding on the importance of anemia prevention in order to improve community knowledge to use local resources to improve health outcomes. Keywords: anemia, biscuit, beetroot, tuberculosis
Towards an Internet of Things for Health Centers in the Southern Saudi Arabia Region

The health centers in the village are well equipped in terms of infrastructure. It also has a large group of patients and staff who usually run services such as opening the file and adding data of patients or doctors using the papers and searching between the patient files. This manual job is challenging to do and wastes time. The developed system in the research aims to transform the center into a technology-based center by leaving paperwork in their daily work. The proposed system is considered as the first part of a global and integrated solution based on Internet of Things (IoT) technology. It seeks the enhancement of the Saudi Arabia health system, especially in the current pandemic period. The whole analysis diagrams are realized through the Visual Paradigm tool suite. The patient file management system has three types of modules, including the administrator, doctor, and receptionist. The proposed system provides a computerized patient file management in the health center. It will benefit the small health center and the receptionists who currently depend on the manual system. The proposed system is automated patient file management by integrating hospital information and details and healthcare information of the patients to a central system database. It also provides receptionists an easy way for booking an appointment according to patients’ preference, and they can search and access patients’ information conveniently.
A soft-switching high gain DC–DC converter for renewable energy systems

ABSTRACT In order to improve the efficiency of high gain DC-DC converter using MOSFET as switching device, a novel zero-voltage soft-switching high gain DC-DC converter is presented. A main switch tube is used to replace the output diode in the conventional boost converter, and an auxiliary network is added to make the two switches realise true ZVS soft turn-on and all diodes realise true ZCS soft turn-off, which improves the efficiency and effectively suppresses the negative effect of diode reverse recovery. Furthermore, the output end of the converter is composed of three output capacitors in series, which avoids the converter working at the limit duty cycle, increases the voltage gain and reduces the switch voltage stress. Therefore, MOSFET with low voltage level and low on resistance can be selected as switching devices. The resonant capacitor and leakage inductance are used to reduce the current at the turn-off time of the switch. The operating principle and steady-state characteristics of the converter are analysed in detail. The design idea of the main parameters is given, and the efficiency and loss of the converter are evaluated. Finally, the experimental results on a 100 W prototype show that the efficiency reaches 95.79% at rated power.
Design of AI-based gamification platform for effective educational service using child behavior prediction/change

Due to the advancement of advanced technologies such as artificial intelligence, robots, autonomous vehicles, healthcare, virtual reality, augmented reality, etc. and the popularization of smartphones, it stimulates customer interest and leads voluntary participation in order to maximize interactive communication in all industries The gamification strategy incorporating games began to emerge. A representative field that generates results by easily introducing such a gamification strategy is the education industry that seeks to improve the educational effect by utilizing the elements of corporate marketing strategies and games such as challenge, competition, achievement, and reward. Recently, gamification research is being conducted to effectively apply AI and big data, the core technologies of the 4th industrial revolution in all industries. Gamification is actively forming markets in Europe and the US, and it can increase customer loyalty and productivity by applying various roles applied to games in other industries as well as serious games. The purpose of this study is to design and implement a gamification service platform based on artificial intelligence technology and operate the implemented system to expand the area where the gamification service applied to the existing marketing and consulting fields can be used. The designed gamification service platform can be applied to education services that increase learning efficiency by analyzing the predicted learning attitudes of trainees, and through successful research cases, it will be able to provide immersion effect to trainees and teaching method research to educators.
“Crystal Is Creepy, but Cool”: Mapping Folk Theories and Responses to Automated Personality Recognition Algorithms

This article examines Crystal Knows, a company that generates automated personality profiles through an algorithm and sells access to their database. These algorithms are the result of a long line of research into computational and predictive algorithms that track social media practices and uses them to infer individual characteristics and make psychometric assessments. Although it is now computationally possible, these algorithms are not widely known or understood by the general public. Little is known about how people would respond to them, particularly when they do not even know their online activities are being assessed by the algorithm. This study examines how people construct “snap” folk theories about the ways personality algorithms operate as well as how they react when shown their outputs. Through qualitative interviews (n = 37) with people after being presented with their own profile, this study identifies a series of folk theories that people came up with to explain the personality algorithm across four dimensions (data source, scope, collection process, and outputs). In addition, this study examined how those folk theories contributed to certain reactions, fears, and justifications people had about the algorithm. This study builds on our theoretical understanding of folk theory literature as well as certain limitations of algorithmic transparency/sovereignty when these types of inferential and predictive algorithms get coupled with people’s hopes and fears about employment, hiring, and promotion.
Non-invasive electric arc fault detection based on sliding approximate entropy

In recent years, electrical fires have occurred frequently and have become the first cause of various fires. Among them, the electric arc is one of the important causes of electrical fires. In this paper, the research on non-invasive electric arc fault detection is carried out for low-voltage users, which can discover and detect the electric arc only by analysing the aggregated current measurements from outdoors. In order to achieve this goal, firstly, the abrupt change of the current mode is discovered and detected with sliding window from the total load current signal based on the approximate entropy. Then the current signature samples are extracted around the abrupt change. Finally, according to the pre-set electric arc signature classifier, it is judged whether the abrupt change is caused by the electric arc fault. In addition, under laboratory conditions, an electric arc simulation experiment is carried out for common appliances of actual low-voltage users. The results show the effectiveness of the proposed non-invasive electric arc fault detection method based on approximate entropy.
Comparison of performance-related responses to an endurance running training between untrained men and women

Introducción: La adherencia a los eventos de carreras de resistencia está aumentando exponencialmente en el mundo entre hombres y mujeres no entrenados, y por eso es necesaria la incorporación de un entrenamiento individualizado y apropiado. No se sabe si los hombres y mujeres desentrenados en carrera difieren en las respuestas al entrenamiento de carrera de resistencia en relación a las variables relacionadas con el rendimiento. Objetivo: Nuestro objetivo fue comparar las respuestas del rendimiento durante un programa de entrenamiento de carrera de resistencia entre hombres y mujeres no entrenados. Material y método: Dieciséis participantes (8 hombres y 8 mujeres) fueron emparejados en la línea de base por edad, índice de masa corporal y porcentaje del tiempo para completar los 5 km (t5km) representados por el promedio de los t5km de los 50 mejores corredores obtenidos en las mejores carreras regionales (para cada género). Los participantes completaron un protocolo de entrenamiento de 11 semanas alternando entrenamiento de intervalos de alta intensidad con entrenamiento continuo de intensidad moderada, tres veces por semana, en una pista de atletismo. En las semanas 1 y 11 del protocolo (línea de base y semana posterior al entrenamiento), se midieron la velocidad máxima de carrera en la cinta (Vpeak), el tiempo límite (tlim) en Vpeak, t5km y el índice rMSSD de la variabilidad de la frecuencia cardíaca (VFC) para la función cardíaca autónoma. En los análisis se consideraron las diferencias entre géneros en la línea de base. Resultados: Hombres y mujeres mejoraron significativamente la Vpeak (9,4 ± 1,7% y 7,2 ± 1,7%, respectivamente) y el t5km (-13,0 ± 1,8% para ambos), y se observaron diferencias relacionadas con el género para las adaptaciones en estas dos variables. El tlim en Vpeak y el rMSSD no han cambiado durante el período de entrenamiento en ambos grupos. El porcentaje de cambio en los hombres fue moderadamente superior al de las mujeres para la rMSSD (33,4 ± 40,7% vs. 13,9 ± 21,4%), aunque no fue significantemente diferente. Conclusión: Las respuestas de hombres y mujeres al entrenamiento fueron similares considerando el rendimiento de carrera y la función cardíaca autónoma. En relación con la aplicación práctica, Vpeak y su respectivo tlim se pueden aplicar en programaciones de ejercicio para prescribir intensidades de entrenamiento de carrera con intensidades moderadas a altas y con beneficios similares, independientemente del género. Palabras clave: Desempeño atlético. Ejercicio. Carrera. Géneros. Summary
An Attention-based Convolutional Neural Network for Melanoma Recognition

Early automatic and accurate melanoma recognition is an important method to reduce melanoma deaths. Existing methods are less sensitive to the position of the lesion areas. Network training may be affected by the uncorrelated noisy parts. In light of this circumstance, an end-to-end attention-based network AF-CNN for accurate melanoma recognition is proposed in this paper, which is mainly composed of pre-trained VGG19, attention blocks and a classification layer. Instead of treating each part of the input dermoscopy images equally, our AF-CNN model has strong discriminative ability to focus on the lesion areas. The AF-CNN was evaluated on the ISIC2017 dataset and concluded the proposed single model achieves the state-of-the-art result in melanoma recognition task.
OPTIMIZATION AND CHARACTERIZATION OF DOXORUBICIN LOADED SOLID LIPID NANOSUSPENSION FOR NOSE TO BRAIN DELIVERY USING DESIGN EXPERT SOFTWARE

Objective: The goal of the current study was to investigate the possible use of solid lipid nanosuspension (SLNs) as a drug delivery method to boost doxorubicin (DOX) brain-targeting performance after intranasal (i. n.) administration. Methods: 33 factorial design was applied for optimization by using lipid concentration, surfactant concentration, and High-speed homogenizer (HSH) stirring time as dependent variables, and their effect was observed on particles size, Polydispersity index (PDI), and entrapment efficiency. Results: With the composition of Compritol® 888 ATO (4.6 % w/v), tween 80 (1.9 % w/v), and HSH stirring time, the optimized formula DOX-SLNs prepared (10 min). Particle size, PDI, zeta potential, entrapment efficiency, percent in vitro release were found to be 167.47±6.09 nm, 0.23±0.02, 24.1 mV, 75.3±2.79, and 89.35±3.27 percent in 24 h, respectively, for optimized formulation (V-O). No major changes in particle size, zeta potential, and entrapping efficiency were found in the stability studies at 4±2 °C (refrigerator) and 25±2 °C/60±5% RH up to 3 mo. Conclusion: Following the non-invasive nose-to-brain drug delivery, which is a promising therapeutic strategy, the positive findings confirmed the current optimized DOX-loaded SLNs formulation.
Is There a Differential Market Size Effect in U.S. Free Agent Signings? Evidence From Localized Sentiment Trading

We consider three professional sports and examine if there is a disparate return response to free agent signings with small versus big market franchises. After controlling for player ability, contract characteristics, and negotiation conditions, we find evidence of a more pronounced negative small market effect in response to both basketball and baseball signings, and a more pronounced negative big market effect in response to football signings. Our results suggest that differential market size sensitivities are complex, reflecting the influence of factors such as player ability and compensation in ways that are highly nuanced and unique to each league.
Monitoring, Delivery and Outcome in Early Onset Fetal Growth Restriction

Early fetal growth restriction (FGR) remains a challenging entity associated with an increased risk of perinatal morbidity and mortality as well as maternal complications. Significant variations in clinical practice have historically characterized the management of early FGR fetuses. Nevertheless, insights into diagnosis and management options have more recently emerged. The aim of this review is to summarize the available evidence on monitoring, delivery and outcome in early-onset FGR.
Effects of Ambient Oxygen Tension and Temperature on the Bimodal Respiration of an Air-Breathing Teleost, Channa maculata

Bimodal oxygen consumption of Channa maculata was measured at 15 C and 25 C in water of different oxygen tensions (Pwo2). In normoxic water (Pwo2 = 130 mmHg), aerial respiration accounted for 34% of the total oxygen consumption (V̇o2) at 15 C and for 60% at 25 C. No significant difference between water oxygen consumption (V̇wo2) at 15 C and 25 C was found. The Q10 value of the total V̇o2 was 2.3. During exposure to hypoxic water (Pwo2 ⩽ 30 mmHg), V̇wo2 decreased while aerial oxygen consumption (V̇ao2) increased, so that the total V̇o2 remained nearly constant at both 15 C and 25 C. At both temperatures, the frequency of aerial ventilation also increased with decreasing Pwo2. However, the amount of oxygen uptake per aerial ventilatory cycle decreased in hypoxic water at 25 C but remained unchanged at 15 C. It appeared that the maximum aerial oxygen consumption in hypoxic water at 25 C was limited by the rate of oxygen absorption in the air-breathing organ. Channa maculata decreased its gill ventilation frequency in response to hypoxic water. However, it continued to extract oxygen from water even when Pwo2 was 20 mmHg. This study showed that the relative contribution of aerial versus aquatic respiration to the total oxygen uptake in C. maculata was altered by changes in ambient temperature and oxygen tension.
An improved U-Net method with High-resolution Feature Maps for Retinal Blood Vessel Segmentation

The accurate segmentation of retinal blood vessels is of great significance for the diagnosis of diseases such as diabetes, hypertension, microaneurysms and arteriosclerosis. However, manual segmentation of retinal blood vessels is time-consuming and laborious. This paper proposes a convolutional network structure based on U-Net for retinal vessel segmentation. First, a new convolution block, which makes full use of shallow high-resolution feature maps to minimize the information loss caused by downsampling, is added to the network. Second, the network was downscaled. Particularly, this network application conducts downsampling twice to reduce the complexity of the network and the number of parameters during training. In addition, we retain the original short connection, which merges the feature information of the shallow and deep networks. Therefore, this network can capture the details of blood vessels more effectively. We tested the work on the DRIVE data set and evaluated the accuracy, sensitivity, specificity and AUC, which were 0.9552, 0.7603, 0.9839, and 0.9789, respectively. A comprehensive comparison between the proposed algorithm and the existing algorithms shows that the various indicators of the algorithm perform well.
Plant Conservation Biology: a view from the Mediterranean ecoregions

This Special Issue provides an overview of the current status of plant conservation biology in Spain and other regions around the World. Papers represent selected outstanding presentations made during the 9th Congress of the Spanish Society of Plant Conservation Biology, which took place in Granada (Spain) on July 9-12, 2019. These papers cover different topics, all illustrating present trends in plant conservation biology. They highlight the important contribution of different approaches to plant conservation in the area. This special issue is dedicated to the memory of the Spanish botanist José Antonio Fernández Prieto (1950-2019).
Trend of measles in Turkey: A retrospective secondary data analysis.

OBJECTIVE To evaluate trends and epidemiological assessment about measles outbreak. Methods The retrospective secondary-data study was conducted at Turkey in the form of record scanning and the data of the whole country were scanned, from August 24, 2018, to April 5, 2020, and covered measles cases reported to the Ministry of Health between 1960 and 2019 and published in the statistical annuals. RESULTS Over the 60-year period, there were 1,050,567 reported cases of measles, translating into 17,509 cases per year, with an incidence rate of 32.03 cases per hundred thousand. There were 18(30%) years in which the outbreak touched epidemic proportions. With the onset of vaccination in 1969, the incidence rate decreased to about 27/100,000. The incidence rate of measles decreased by 62% compared to pre-vaccination after a single dose of vaccine, and approximately 80% after the initiation of the Extended Immunisation Programme. CONCLUSIONS Due to problems in school vaccination, rejection of vaccines and imported cases in the country, fresh measles outbreaks have occurred in Turkey in recent years. Measles elimination target, as such, will have to be extended.
Content, Structure, and Delivery Characteristics of Yoga Interventions for Managing Hypertension: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Objectives This systematic review aimed to synthesize the content, structure, and delivery characteristics of effective yoga interventions used for managing hypertension and to compare these characteristics with ineffective interventions. Design and Method The JBI and the PRISMA guidelines were followed in this systematic review. RCTs conducted among hypertensive adults were included. RCTs reporting at least one of the major components of yoga (i.e., asana, pranayama, and dhyana and relaxation practices) and comparing them with no intervention or any intervention were eligible. Sixteen databases were searched for published and unpublished studies without any date and language restrictions till March 15, 2021. Results The literature search yielded 13,130 records. 34 RCTs (evaluating 38 yoga interventions) met the inclusion criteria. Overall, included studies had low methodological quality mostly due to inadequate reporting. Yoga reduced SBP and DBP compared to a control intervention (MD −6.49 and −2.78; 95CI% −8.94– −4.04 and −4.11– −1.45, respectively). Eighteen, 14 and 20 interventions were effective in improving SBP, DBP, or either, respectively. 13 out of 20 effective interventions incorporated all the 3 major components of yoga and allocated similar durations to each component whereas ineffective interventions were more focused on the asana and duration of asana practice was longer. The most common duration and frequency of effective interventions were 45 min/session (in 5 interventions), 7 days/week (in 5 interventions), and 12 weeks (in 11 interventions) whereas the most common session frequency was 2 days a week (in 7 interventions) in ineffective interventions. Effective interventions were mostly center-based (in 15 interventions) and supervised (in 16 interventions) and this was similar with ineffective interventions. Conclusion Despite the low quality and heterogeneity of included studies, our findings suggest yoga interventions may effectively manage hypertension. The differences between the effective and ineffective interventions suggest that effective yoga interventions mostly incorporated asana, pranayama, and dhyana and relaxation practices and they had a balance between these three components and included regular practice. They were mostly delivered in a center and under supervision. Future studies should consider developing and evaluating an intervention for managing hypertension using the synthesized findings of the effective interventions in this review. Systematic Review Registration [PROSPERO], identifier [CRD42019139404].
Anomalous pressure-induced phase transformation in nano-crystalline erbium sesquioxide (Er2O3): partial amorphization under compression

Nanophase materials have novel physical and chemical properties, differing from bulk materials. It is of exceptional interest to investigate the size effect on structural stability in nanocrystals. Here, we investigated pressure-induced phase transitions in nanosized Er2O3 using angle-dispersive synchrotron X-ray diffraction up to 40.6 GPa. Nano-Er2O3 has enhanced transition pressure and higher bulk modulus (K0) than its bulk counterparts. Amorphous Er2O3 nanoclusters with traces of monoclinic phase are obtained upon compression. This is the first time that partial amorphous structure under compression was observed in nano-Er2O3, indicating a kinetic trapping of partial amorphous Er2O3 on pressurizing.