Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisión sistemática del aprendizaje autorregulado en estudiantes de ciencias de la salud

Introduccion: Los desafios actuales plantean desarrollar el aprendizaje autorregulado en estudiantes de ciencias de la salud para prepararlos para un mundo cambiante y globalizado, al considerar que tienen a su cargo la vida de las personas. Objetivo: Caracterizar las investigaciones empiricas cuantitativas sobre aprendizaje autorregulado en estudiantes de ciencias de la salud. Metodos: Se realizo una revision sistematica de la literatura en las bases de datos Web of Science (WOS), Scopus y SciELO desde 2014 hasta 2019. De los 149 articulos encontrados, se seleccionaron 29. Resultados: Europa y Asia fueron los continentes con mas frecuencia de publicaciones. Destacaron el diseno de tipo no experimental, la utilizacion del cuestionario de motivacion y las estrategias de aprendizaje, y los tamanos muestrales de 51 a 100 y de 501 a 1000. Medicina y enfermeria se mostraron como las carreras que mas estudiaban el aprendizaje autorregulado. Las variables de mayor frecuencia resultaron las sociodemograficas y las relacionadas con el estudiante. El aprendizaje basado en problemas en formato intracurricular constituyo la metodologia mas usada para desarrollarlo. Las principales limitaciones reportadas tuvieron relacion con el instrumento y la muestra. Conclusiones: Es necesario desarrollar investigaciones en Sudamerica y establecer alianzas con otros paises de la region, ademas de superar las limitaciones metodologicas. Se sugiere desarrollar disenos cuasi experimentales e investigar variables de tipo afectivas, sociales y culturales que podrian incidir en el aprendizaje autorregulado. Las metodologias activas deberian incluirse de manera permanente en los planes de estudio ya que existe evidencia de su efectividad. Se invita a todas las carreras de las ciencias de la salud a avanzar en esta area.
Omparison of the neubauer bioassay with some classical and universal extractants for deter‐mining plant available p in cultivated soils

Abstract Four universal and three classical chemical extractants were tested against the Neubauer seedling P test to determine their sensitivity to the P status in a wide range of cultivated soils in Switzerland. Eighteen soil samples with varying chemical and physical properties were treated with 0, 20, 40, 80, and 160 ppm of N and K in order to determine the best nutrient status for the growth of winter rye seedlings. The bioassay plants took up an average of 167 kg/ha of P in the control soils during 17 days. Improvement of the soil nutrient status by the addition of N, K, and Mg resulted in an additional P uptake of 0–115 kg/ha of P. The tested soil did not show a low level of available P according to the Neubauer seedling method. The amount of P extracted by means of chemical methods decreased in the following order: Egner ‐ Riehm, Na2EDTA, NH4OAc ‐ EDTA, Mehlich No. 3, Morgan ‐ Wolf, water, CaCl2. However, the best correlations between soil P test values and bioassay P were found for the CO2 saturat.
On the Interaction of Melanoidin with Metallic Ions

Melanoidin, which is obtained from the browning solution prepared from glycine-D-glucose system by acid precipitation, displays a noticeable character attributable to an amphoteric polyvalent electrolyte with the isoelectric point at pH 2.5. The number of proton released during titration from the isoelectric point to pH 11.0 is ca. 500 per one molecule of melanoidin. Thus, melanoidin shows a remarkable coagulation in the presence of various metallic ions though affected by metal concentration, pH and the presence of other chelating agent such as EDTA. The behavior of melanoidin towards metallic ions is in common with anionic hydrophillic colloids. The metal binding ability of melanoidin was confirmed on the basis of difference spectra, titration curves and dialysis equilibria. The stability constants and the number of binding sites were approximately calculated from the results of dialysis equilibria in respect to Fe3+ and Cu2+. Melanoidin was evaluated as a powerful metal scavenger in an attempt to eluci.
Microsatellites for the Neotropical ant, Camponotus leydigi (Hymenoptera: Formicidae)

Ants (Hymenoptera: Formicidae) are dominant social insects that play important ecological roles in terrestrial ecosystems. Camponotus leydigi (Forel) is widely distributed in the Neotropical region and is frequently found in the Brazilian cerrado savanna interacting with plants and other insects. Field observations indicate that C. leydigi has a polydomous nesting habit, but little is known about the genetic relationship among workers. In this study, we identify the first nine microsatellite loci for C. leydigi that will allow further investigation on its genetic diversity. We used a microsatellite‐enriched library method. According to this method, repetitive sequences are captured with (CT)8 and (GT)8 biotin‐linked probes, with subsequent recovery by streptavidin magnetic‐coated beads. We observed that eight loci were polymorphic. The mean (± standard error) observed and expected heterozygosities were 0.55 ± 0.23 and 0.73 ± 0.28, respectively. The rarified allelic richness ranged from 1 to 5.32. The polymorphism contents were similar to diversity estimates found in markers previously developed for other Camponotus ants. These markers will be useful for future studies on population genetics and ecology of Camponotus ants in cerrado, including nesting ecology, colony structure, dispersal and conservation.
A Major Outbreak of COVID-19 in the Diamond Princess Cruise Ship

The COVID-19 pandemic broke out in Wuhan, China, and declared an international public health emergency by the World Health Organization in 2019. It mainly manifests as symptoms of respiratory infections, and severe cases can cause pneumonia and death. The Diamond Princess cruise ship outbroke cluster infection outside China during the early pandemic. The incident occurred on February 1, 2020, and an 80-year-old Hong Kong man was diagnosed with COVID-19. The cruise docked in Yokohama, Japan, for 14 days on-board quarantine; however, cluster infection outbroke rapidly. The results show that after 14 days of quarantine, 634 (17.1%) cases were diagnosed with a total of 3,711 population, and 328 (51.7%) cases were asymptomatic. As of April 24, 2020, 712 cases have been diagnosed and 14 deaths have occurred. A cumulative mortality rate reaches 1.96%. Using a nonlinear least-squares curve fitting with Microsoft Excel Solver, we obtain the parameters of the SIR mathematical model of infectious disease and the reproduction number (R0) of the COVID-19 outbreak is 2.37±0.26. Without an emergency evacuation plan, the total infection rate will reach 88.47%. These data show “only one” COVID-19 case could still outbreak cluster infection on large cruise ships. The possible causes and countermeasures are discussed.
UTILIZATION OF NUCLEOTIDE PROBES FOR THE MEASUREMENT OF SPECIFIC MESSENGER RNA: APPLICATION FOR MOLECULAR DIAGNOSIS OF AUTOSOMAL RECESSIVE SPINAL MUSCULAR ATROPHY

ABSTRACT Spinal muscular atrophy (SMA) is a lethal autosomal recessive disease. SMA is characterized by degeneration of motor neurons in the spinal cord, causing progressive weakness of the limbs and trunk, followed by muscle atrophy. The gene most highly associated with SMA is the survival motor neuron (SMN) gene. This paper describes the results concerning the development of a quantitative method for the molecular diagnosis of SMA by measuring the amount of cytosolic mRNA from human muscle cells. The procedures using radioactive material and the Enzyme-Linked Immunosorbent Assay (ELISA) non-radioactive method were developed using 32P-dCTP labeled and biotinylated nucleotide probes, respectively; the results obtained demonstrate that the measurement of specific mRNA could be used as a quantitative method for the molecular diagnosis of SMA. There was a perfect concordance of the results obtained between the procedure using radioactive material, the ELISA method and the single-strand conformation polymorphism (SSCP) analysis regarding negative and positive SMA samples. All values obtained for the control group were significantly greater than the ones obtained for the SMA positive samples (33–76% in radioactive method and 38–54% in ELISA method). The methods developed in this study may be applicable to the diagnosis (detection of homozygous and heterozygous deletions in exons 7 and 8 of the SMN gene) and the control of mRNA concentrations in future gene therapy of patients with SMA.
Speech Enhancement Based on Discrete Wavelet Packet Transform and Itakura-Saito Nonnegative Matrix Factorisation

Nonnegative matrix factorization (NMF) is one of the most popular machine learning tools for speech enhancement (SE). However, there are two problems reducing the performance of the traditional NMFbased SE algorithms. One is related to the overlap-and-add operation used in the short time Fourier transform (STFT) based signal reconstruction, and the other is the Euclidean distance used commonly as an objective function; these methods can cause distortion in the SE process. In order to get over these shortcomings, we propose a novel SE joint framework which combines the discrete wavelet packet transform (DWPT) and the Itakura-Saito nonnegative matrix factorisation (ISNMF). In this approach, the speech signal was first split into a series of subband signals using the DWPT. Then, the ISNMF was used to enhance the speech for each subband signal. Finally, the inverse DWPT (IDWT) was utilised to reconstruct these enhanced speech subband signals. The experimental results show that the proposed joint framework effectively enhances the performance of speech enhancement and performs better in the unseen noise case compared to the traditional NMF methods.
Structural, Electronic, Mechanical and Thermal Properties of CoVZ (Z= Si, Ge, Sn, Pb) half-Heusler Compounds

Half-Heusler compounds pose unusual behavior because of their variable band gap and as well as both metallic and semi-metallic nature. These compounds can be used in different applications on the basis of band gap tenability. We have discussed the structural, electronic, elastic and magnetic properties of CoVZ (Z = Pb, Si, Sn, Ge) by using WIEN2k simulation code based on density functional theory (DFT). We have optimized the all possible structural configuration of each compound and considered which optimized with lowest energy and lowest equilibrium volume. For determination of electronic exchange correlation energy the generalized gradient approximation (GGA) is used in both platforms. We have also obtained the individual elastic constants, shear modulus, Young's moduli, B/G ratio and Poisson's ratio, which shows that these compounds are ductile except CoVGe shows little ductility. Debye temperatures are calculated by compression wave velocity, shear wave velocity and with their average value.
Optimistic bias influences hazardous drinking among beer drinkers in Nigeria

ABSTRACT Objective: Predominant research findings indicate that through optimistic bias, people’s perception of their chances of experiencing negative consequences associated with risky behaviors are lower, compared to others with similar behaviors. Also, research evidence suggests that personal vulnerability to risky behavior, such as alcohol consumption, rises with the level of involvement. One explanation for these contradictory results is the inadequacy of the formulation of items in instruments used in measuring risk perception. This study aimed to use instruments incorporating conditional statements to assess the perceived susceptibility of individuals to the negative consequences of alcohol in an understudied population in central Nigeria. Methods: Four hundred and eighty participants took part in this cross-sectional study. They responded to an optimistic bias questionnaire, and the Alcohol Use Disorder Identification Test (AUDIT), to assess their perceived susceptibility to alcohol related harm in relation to consumption, and comparative risk assessment. Results: The perception of personal risk susceptibility to alcohol-related harm and consumption were positively related. However, compared to others, drinkers exhibited optimistic bias, ascribing lower personal risk to their consumption. Conclusion: These results suggest that one way to reduce hazardous drinking is to modify one’s optimistic bias.
Carbon Nanotubes: Applications to Energy Storage Devices

Carbon nanotubes (CNTs) are an extraordinary discovery in the area of science and technology. Engineering them properly holds the promise of opening new avenues for future development of many other materials for diverse applications. Carbon nanotubes have open structure and enriched chirality, which enable improvements the properties and performances of other materials when CNTs are incorporated in them. Energy storage systems have been using carbon nanotubes either as an additive to improve electronic conductivity of cathode materials or as an active anode component depending upon structural and morphological specifications. Furthermore, they have also been used directly as the electrode material in supercapacitors and fuel cells. Therefore, CNTs demand a huge importance due to their underlying properties and prospective applications in the energy storage research fields. There are different kinds of carbon nanotubes which have been successfully used in batteries, supercapacitors, fuel cells and other energy storage systems. This chapter focuses on the role of CNTs in the different energy storage and conversion systems and impact of their structure and morphology on the electrochemical performances and storage mechanisms.
Optical spectroscopy and microscopy techniques for assessment of neurological diseases

Abstract Neurological diseases are a category of disease that deals with any damageable changes in the nervous system. Neurodegenerative diseases like Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and a few others also come under this category. Detection of the cause of such diseases can be mainly studied by digging deep into the anatomical and physiological features of the nervous system. Hence, various imaging techniques have been profusely developing recently that aim to discover the anatomical as well as physiological changes in the brain and spinal cord that lead to specific neurological diseases. This review discusses some of the spectroscopic and microscopy techniques that are beneficial in diagnostic procedures of neurological diseases. Listed down techniques are mainly categorized based on fluorescence, scattering, and infrared absorption principle and include the information on resolution, magnification, and penetration depth of each technique, respectively. In this review, the applications of confocal fluorescence microscopy, two-photon fluorescence microscopy, harmonic generation microscopy including second harmonic generation (SHG), third harmonic generation (THG), coherent Raman scattering including coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS), fluorescence and near-infrared spectroscopy are discussed with an advantage in diagnosis but a few being more advantageous than others.
Promoting hemiplegic gait

Introduction and Aim: Balance synergy includes a number of postural response that enable an individual to arise and remain erect during standing and locomotion. Balance deficits causes an insufficient coordination, postural instability and impaired gait. Maintaining the independence in activities of activities of daily living is an important factor for the quality of life. Hence this study is done to promote Hemiplegic Gait in stroke patients. Materials and Methods: 150 community dwelling hemiparetic subjects from Chennai aged <65 both male and female subjects were allocated in three groups (n=50) using convenient sampling method and were followed up for a period of 12 weeks with intervention duration of 45 mins daily and were assessed with POMA, FALL RISK , TUG and 6 minute walk test. Paired‘t’ test was used for assessing pre and post-test values. Results: There was significant difference with p < 0.001 at both Tinetti Performance oriented mobility assessment, Time up and Go Test, Fall Risk and 6 minute walk test minimal significant difference in chair stand test in both the groups. Conclusion: There was significant difference in POMA, FALL RISK , TUG and 6 minute walk test p<. 005 in Group C & Group B.
Street Vendors Based on Tribal Groups in Kendari City, Indonesia

The main impact of urbanization is to increase urban population density. Increased investment in the industrial sector has opened up job opportunities in various sectors, including the informal sector. Street vendors (PKLs) are one of the informal sector jobs that are often found in plural urban communities. The plurality of the population in society creates different perceptions in terms of the type of work they are engaged in. This study aims to (1). Identify the socio-economic characteristics of PKLs; (2). Identify the strategies used by street vendors in maintaining their existence. This research is a descriptive-qualitative study obtained from interviews and direct observations of PKLs in Kendari. The informants were determined purposively. The analysis data is performed by compiling the data then interpreted by referring to the relationship between various concepts and social realities. The results showed that the street vendors in Kendari were generally villagers. They moved to Kendari, because the village where they lived was considered no longer representative for their survival. PKLs are generally urban mobility actors who live on the edge of Kendari. To maintain their existence, they perform various ways, including by strengthening ties between ethnic groups, improving services, finding strategic locations and making cheaper 'counter' products.
A Fully Integrated Clocked AC-DC Charge Pump for Mignetostrictive Vibration Energy Harvesting

This paper describes a clocked AC-DC charge pump to enable full integration of power converters into a sensor or radio frequency (RF) chip even with low open circuit voltage magnetostrictive vibration energy transducer operating at a low resonant frequency of 10 Hz to 1 kHz. The frequency of the clock to drive an AC-DC charge pump was up-converted with an on-chip oscillator to increase output power of the charge pump without significantly increasing the circuit area. A model of the system including the charge pump and vibration energy transducer is shown. It was validated by HSPICE simulation and measured, resulting in a prototype chip with an area of 0.11 mm2 fabricated in a 65 nm 1 V CMOS process. The fabricated charge pump was also measured together with a magnetostrictive transducer. The charge pump converted the power from the transducer to an output power of 4.2 μW at an output voltage of 2.0 V. The output power varied below 3% over a wide input frequency of 10 Hz to 100 kHz, which suggests that universal design of the clocked AC-DC charge pump can be used for transducers with different resonant frequencies. In a low-input voltage region below 0.8 V, the proposed circuit has higher output power compared with the conventional circuits.
A Coherent and Privacy-Protecting Biometric Authentication Strategy in Cloud Computing

The Biometric authentication has become progressively more desired in current years. With this expansion of cloud computing, database holders be influenced to expand this extensive volume of biometric information & detection operations to CLOUD for eradicate of this high-priced storage and result overheads, is still conveys possible dangers to users’ seclusion. In this document, we recommend an well-organized, well planned and confidentiality-protecting biometric classification strategy. Particularly, biometric information was encrypted & farmed out for Cloud database. For complete a biometric confirmation, server holder encrypts the inquiry information and proposes that to cloud. The Cloud implements recognition tasks on the encrypted server and sends this conclusion to the server holder. The systematic protection assessment specifies the recommended system is protected still if attackers can fake detection appeals and conspire through the cloud. Evaluated with previous protocols, investigational and new outcomes prove the recommended strategy accomplishes enhanced performance in both preparation and discovery measures.
Design and Implementation of Automated Steganography Image-Detection System for the KakaoTalk Instant Messenger

As the popularity of social network service (SNS) messengers (such as Telegram, WeChat or KakaoTalk) grows rapidly, cyberattackers and cybercriminals start targeting them, and from various media, we can see numerous cyber incidents that have occurred in the SNS messenger platforms. Especially, according to existing studies, a novel type of botnet, which is the so-called steganography-based botnet (stego-botnet), can be constructed and implemented in SNS chat messengers. In the stego-botnet, by using various steganography techniques, every botnet communication and control (C&C) messages are secretly embedded into multimedia files (such as image or video files) frequently shared in the SNS messenger. As a result, the stego-botnet can hide its malicious messages between a bot master and bots much better than existing botnets by avoiding traditional botnet-detection methods without steganography-detection functions. Meanwhile, existing studies have focused on devising and improving steganography-detection algorithms but no studies conducted automated steganography image-detection system although there are a large amount of SNS chatrooms on the Internet and thus may exist many potential steganography images on those chatrooms which need to be inspected for security. Consequently, in this paper, we propose an automated system that detects steganography image files by collecting and inspecting all image files shared in an SNS chatroom based on open image steganography tools. In addition, we implement our proposed system based on two open steganography tools (Stegano and Cryptosteganography) in the KakaoTalk SNS messenger and show our experimental results that validate our proposed automated detection system work successfully according to our design purposes.
Deep reinforcement learning‐based optimal data‐driven control of battery energy storage for power system frequency support

: A battery energy storage system (BESS) is an effective solution to mitigate real-time power imbalance by participating in power system frequency control. However, battery aging resulted from intensive charge–discharge cycles will inevitably lead to lifetime degradation, which eventually incurs high-operating costs. This study proposes a deep reinforcement learning-based data-driven approach for optimal control of BESS for frequency support considering the battery lifetime degradation. A cost model considering battery cycle aging cost, unscheduled interchange price, and generation cost is proposed to estimate the total operational cost of BESS for power system frequency support, and an actor–critic model is designed for optimising the BESS controller performance. The effectiveness of the proposed optimal BESS control method is verified in a three-area power system.