Miracle-dz/UniFAR-FTUs huggingface dataset:
TOWARDS AN EVALUATION MODEL OF EMOTIONAL COMPETENCIES IN NURSE STUDENTS

During the past years, multiple studies have demonstrated the importance of emotional intelligence for the positive professional development of nurse students. This document has been created due to the need of an instrument that can allow us to measure clearly and objectively the emotional competencies of the nurse students. After having done a bibliographical review of scientific articles and libraries online such as Pubmed, Medline Plus, ENFISPO and SCIELO in which we have taken into account the publication date and the number of citations, we have analysed the different existing methods to evaluate this factor, such as self-report- measures, the ability measures or the ECOE method, we conclude that the information they provide, even though it is pertinent, could be better adapted to the academic environment. In this project, we suggest a new tool that will include the advantages of the three mentioned above and complete the information with the role-playing that will evaluate the student according to a simple rubric, this way anyone can use it without previous specialized knowledge. Consequently, the student will be able to identify improvements in their performance and recognize the correct aspects of their enactment, as a result of this, apart from using it as a tool to evaluate; it can be considered for the personal development of the nurse student.
High-intensity intermittent swimming improves cardiovascular health status for women with mild hypertension

To test the hypothesis that high-intensity swim training improves cardiovascular health status in sedentary premenopausal women with mild hypertension, sixty-two women were randomized into high-intensity ( 𝑛 = 21 ; HIT), moderate-intensity ( 𝑛 = 21 ; MOD), and control groups ( 𝑛 = 20 ; CON). HIT performed 6–10 × 30 s all-out swimming interspersed by 2 min recovery and MOD swam continuously for 1h at moderate intensity for a 15-week period completing in total 44±1 and 43±1 sessions, respectively. In CON, all measured variables were similar before and after the intervention period. Systolic BP decreased ( 𝑃 < 0.05 ) by 6±1 and 4±1 mmHg in HIT and MOD; respectively. Resting heart rate declined ( 𝑃 < 0.05 ) by 5 ± 1 bpm both in HIT and MOD, fat mass decreased ( 𝑃 < 0.05 ) by 1.1 ± 0.2 and 2.2 ± 0.3 kg, respectively, while the blood lipid profile was unaltered. In HIT and MOD, performance improved ( 𝑃 < 0.05 ) for a maximal 10min swim ( 13 ± 3 % and 22 ± 3 %), interval swimming ( 23 ± 3 % and 8 ± 3 %), and Yo-Yo IE1 running performance ( 58 ± 5 % and 45 ± 4 %). In conclusion, high-intensity intermittent swimming is an effective training strategy to improve cardiovascular health and physical performance in sedentary women with mild hypertension. Adaptations are similar with high- and moderate-intensity training, despite markedly less total time spent and distance covered in the high-intensity group.
Prevalence of M. Tuberculosis Complex Isolates amongst Cases of Extrapulmonary Tuberculosis in a Tertiary Care Centre in Central Kerala

Introduction: Extrapulmonary tuberculosis (EPTB) is an important health problem. About 25% of all the tuberculosis cases are manifested as extrapulmonary. This study was aimed to determine the prevalence and drug resistance profile of Mycobacterium tuberculosis complex in patients with extrapulmonary tuberculosis attending a tertiary care centre in Central Kerala. Materials and methods: A prospective study was conducted in Pushpagiri Medical College, Tiruvalla, Kerala from November 2015 to October 2017. During this period, 216 site-specific samples were collected from patients with clinical suspicion of EPTB. Specimens were subjected to Ziehl-Neelsen (Z-N) staining and culture using liquid (BD BACTEC TM Micro MGIT TM {Mycobacteria Growth Indicator tube}) and solid (Lowenstein Jensen) media. Drug susceptibility testing (DST) for streptomycin (S), isoniazid (I), rifampicin (R), ethambutol (E) and pyrazinamide (PZA) were performed on all culture positive isolates using the Micro MGIT. Results: Out of 216 extrapulmonary samples, Mycobacterium tuberculosis complex was isolated in 21 (9.7%) cases by MGIT, 14 (6.4%) by LJ and MGIT while only 4 (1.8%) of the culture-confirmed samples were found to be positive by Z-N staining method. Drug susceptibility testing was done on all the culture positive isolates, of which 7 (33%) were sensitive to all drugs while 3 (14.2%) were multi-drug resistant. Conclusion: Early diagnosis and timely treatment is of paramount importance for the efficient management of the disease
The New Era of Salivaomics in Dentistry: Frontiers and Facts in the Early Diagnosis and Prevention of Oral Diseases and Cancer

Nowadays, with the development of new and highly sensitive, blood is not the only medium of choice for the diagnosis of several diseases and pathological conditions. Saliva is now considered a safe and non-invasive sample to study oral and systemic diseases, showing great diagnostic potential. According to several recent studies, saliva has emerged as an emerging biofluid for the early diagnosis of several diseases, indicated as a mirror of oral and systemic health and a valuable source of clinically relevant information. Indeed, several studies have observed that saliva is useful for detecting and diagnosing malignant tumours, human immunodeficiency virus, heart disease, and autoimmune diseases. The growing realisation that saliva is an inexhaustible source of information has led to the coining of the term ‘Salivaomics’, which includes five “omics” in connection with the main constituents of saliva: genome and epigenome, transcriptomics, metabolomics, lipidomics, proteomics and microbiota. All those may be changed by disease state, so they offer significant advantages in the early diagnosis and prognosis of oral diseases. The aim of the present review isto update and highlight the new frontiers of salivaomics in diagnosing and managing oral disorders, such as periodontitis, premalignant disorders, and oral squamous cell carcinoma (OSCC).
Análisis del impacto presupuestal en Colombia de la prueba de HPV con genotipificación comparada con la citología

Resumen Introducción. La detección del virus del papiloma humano mediante la combinación de la prueba de HPV y otras técnicas como la citología, ha demostrado su eficacia en el diagnóstico y tratamiento oportuno de lesiones asociadas con el cáncer de cuello uterino. Objetivo. Estimar el impacto presupuestal de la estrategia de detección temprana del HPV mediante la prueba de genotipificación combinada con la citología en comparación con la citología convencional, en mujeres de 30 a 65 años participantes en el programa de tamizaje de cáncer de cuello uterino en una Entidad Administradora del Plan de Beneficios en salud (EAPB) en Colombia. Materiales y métodos. Utilizando un árbol de decisiones y un modelo de Markov, se estimaron las implicaciones clínicas y los costos directos anuales de dos ciclos de tamizaje, diagnóstico y tratamiento, en una cohorte de mujeres. Las prevalencias de los resultados clínicos y los costos se tomaron de la base de datos de una EAPB y la información de la progresión, persistencia y regresión de los estados de salud provinieron del estudio ATHENA. Resultados. El esquema de tamizaje con la prueba de HPV, la genotipificación y la citología resultó en un ahorro de costos comparado con la citología convencional. El costo promedio por ciclo de tamizaje con la prueba de HPV se estimó en COP $129’201.363 y con la citología en COP $186’309.952, es decir, un ahorro de COP $57’108.589 (30,7 %). Conclusión. La implementación de la estrategia de tamizaje evaluada sugiere que habría ahorros derivados de la detección temprana de los estados de salud asociados con el desarrollo de cáncer de cuello uterino.
The Role of Digital Innovation in SMEs: A Financial Performance Perspective

This research identifies the driving factors of SMEs' digital innovation and their effects on improving SMEs' financial performance during the COVID-19 pandemic, intending to discover the mediating role of digital innovation in improving SMEs' financial performance through innovation orientation, IT readiness, and digital capability. The type of research is quantitative with a sample of 188 SMEs actors in Surakarta and its surroundings who have adopted e-commerce and fintech, with SEM-PLS modeling analysis. The results show that digital innovation has an important role as a mediator for the variables of digital orientation, IT readiness, and digital capability that affect the improvement of SMEs' financial performance during the COVID 19 pandemic. SMEs that carry out digital innovation through e-commerce and fintech have increased financial performance compared to previously, this was seen from the percentage increase in sales and profits compared to the previous one. This research gives contribution to the new knowledge about the digital innovation of SMEs, the new conceptual framework that connects digital innovation with business performance from the perspective of financial performance. The significant positive effect of digital innovation on improving financial performance shows that it is important for small enterprise to improve their digitization skills and knowledge in business development to fulfill customer needs and improve performance for future business sustainability
Optimization of the rib structure inside cooling channels with genetic algorithms

To increase the thermal efficiency of industrial gas turbines, the performance of the internal cooling channels is of utmost importance. These cooling channels are often equipped with ribs on the top and bottom walls to increase the turbulence and the mixing of the flow. Depending on the position of the cooling channel in the turbine blade and the external heat load, the ribs have to be designed differently. Until now, the decision regarding the optimal design parameters was mainly based on the knowledge of the engineer. The present work investigates genetic algorithms as an optimization method to find optimal designs for the rib configuration in internal cooling channels. The main optimization targets are the enhancement of the heat transfer with a low increase in pressure drop. Results are presented for simplified 2D as well as realistic 3D cooling channel configurations.
Investigation of Sodium Benzoate and Potassium Sorbate in Anti-Diabetic Herbal Drugs

The objective of the study was to assess sodium benzoate and potassium sorbate in some anti-diabetic herbal drugs (ADHDs) collected from local markets using UV-Vis spectrophotometric method. Analytes were measured in bulk and finished drug formulations at 224 nm for Sodium benzoate and 254.5 nm for potassium sorbate. The calibration curve obeyed Beer’s law in the range of 0-40 ppm for sodium benzoate and 0-50 ppm for potassium sorbate and passed the goodness of fit evaluation. Limit of detection, LOD and limit of quantification, LOQ for sodium benzoate was 0.13 pm and 0.40 ppm respectively. The limit of detection, LOD and limit of quantification country is unknown. To conclude, whether the herbal drugs are safe to consume in terms of preservatives, more assessment is required. , LOQ for potassium sorbate were 0.28 pm and 0.85 ppm respectively. No samples crossed safety limits for sodium benzoate and potassium sorbate. Overall picture of preservative content in herbal drugs of the country is unknown and, in this study, we identified both preservatives in the drug samples. To conclude, whether the herbal drugs are safe to consume in terms of preservatives, more assessment is required.
Assessment and Enhancement of Uncertain Renewable Energy Hosting Capacity With/out Voltage Control Devices in Distribution Grids

Nowadays, with excessive integration of renewable energy sources (RESs), the distribution systems face several challenges due to exceeding the hosting capacity limit (HCL) of RESs. This article proposes a bi-stage approach to maximize the HCL considering RESs and load uncertainties. The first stage develops a multiobjective framework to adjust the system voltage profiles in a specific manner to avoid exceeding the voltage boundaries with high penetration of RESs. In the second stage, two processes are employed to maximize the HCL as the main objective function. In the first one, the photovoltaic (PV) and wind turbine (WT) plants are optimally allocated, while in the second process, a combination of three voltage control devices is proposed. A correlated multidimension probability uncertainty model is used to emulate the uncertainty of PV, WT, and load demand. Manta Ray foraging optimization (MRFO) algorithm is proposed to solve single-objective and multiobjective frameworks in the bi-stage approach considering the performance limits. The proposed approach is tested and validated on medium- and large-scale distribution systems. The effectiveness of the proposed MRFO is approved compared with two optimization algorithms. The proposed approach achieves up to 77.8% RESs integration from the total load demand for the tested systems.
Performance Analysis of Wearable Dual-Band Patch Antenna Based on EBG and SRR Surfaces

This paper presents the performance comparison of a dual-band conventional antenna with a split-ring resonator (SRR)- and electromagnetic bandgap (EBG)-based dual-band design operating at 2.4 GHz and 5.4 GHz. The compactness and dual-frequency operation in the legacy Wi-Fi range of this design make it highly favorable for wearable sensor network-based Internet of Things (IoT) applications. Considering the current need for wearable antennas, wash cotton (with a relative permittivity of 1.51) is used as a substrate material for both conventional and metamaterial-based antennas. The radiation characteristics of the conventional antenna are compared with the EBG and SRR ground planes-based antennas in terms of return loss, gain, and efficiency. It is found that the SRR-based antenna is more efficient in terms of gain and surface wave suppression as well as more compact in comparison with its two counterparts. The compared results are found to be based on two distinct frequency ranges, namely, 2.4 GHz and 5.4 GHz. The suggested SRR-based antenna exhibits improved performance at 5.4 GHz, with gains of 7.39 dbi, bandwidths of 374 MHz, total efficiencies of 64.7%, and HPBWs of 43.2 degrees. The measurements made in bent condition are 6.22 db, 313 MHz, 52.45%, and 22.3 degrees, respectively. The three considered antennas (conventional, EBG-based, and SRR-based) are designed with a compact size to be well-suited for biomedical sensors, and specific absorption rate (SAR) analysis is performed to ensure user safety. In addition, the performance of the proposed antenna under bending conditions is also considered to present a realistic approach for a practical antenna design.
IS MERCERIZATION THE ONLY FACTOR FOR (PARTIAL) POLYMORPHIC TRANSITION OF CELLULOSE I TO CELLULOSE II IN CELLULOSE NANOCRYSTALS?

"The present study aims to investigate the influence of factors such as the source of cellulose and cellulose extraction and acid hydrolysis conditions on the partial polymorphic transition of Cellulose I to the allomorphic form Cellulose II in cellulose nanocrystals (CNCs). CNCs were obtained from cellulose fibers extracted from four agro-industrial residues in Ethiopia: teff straw (TS), enset fiber (EF), sugarcane bagasse (SB) and coffee hull (CH). The cellulose fibers were extracted under chlorine-free extraction conditions, comprising alkaline pretreatment (with 17.5% (w/v) sodium hydroxide), then hydrolyzed with 64% (w/w) sulfuric acid to synthesize the CNCs. The as-obtained CNCs were characterized with X-ray diffraction (XRD), Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy, thermogravimetric analysis (TGA), and transmission electron microscopy (TEM). The XRD results revealed the CNCs isolated from cellulose fibers of EF and SB contained Cellulose I and II allomorphs like their cellulose precursors, but no Cellulose II was found in CH-CNCs. Morphological and dimensional studies of the CNCs by TEM showed shorter needle-shaped nanoscale structures. Higher alkaline conditions, with 17.5% sodium hydroxide, might not necessarily contribute to the polymorphic transition in lignocellulosic materials with higher lignin content, as evidenced in CH. Generally, the formation of Cellulose I and II allomorphs in the as-obtained CNCs was dependent on the cellulose source and cellulose extraction conditions, and less influenced by sulfuric acid hydrolysis. "
Game on: Can gamification enhance productivity?

Background: Research suggests that gamification can increase work engagement by providing employees with a sense of autonomy, competence, and relatedness, and by creating a fun and engaging work environment. Gamification is designed to increase consumer and employee engagement and see that they holistically collaborate to achieve a shared vision. The concept of gamification is as old as learning itself, just that the use of the terminology “Gamification” is of a recent origin. Methods: This article focuses on the impact of gamification in various organizations and simultaneously sees its relationship with job engagement and productivity. A primary investigation was done to determine the nexus between the various variables and data collection from 400 respondents working in various fraternities of the economy from both public and private domains from countries in the Gulf region. The structural equation model and SPSS has been inferred to analyse the results. Results: The study results show that variable such as perceived adoption and usefulness in the gamified system is significantly associated with job engagement. Similarly, employee’s recognition and perceived motivation have a positive impact on productivity. The study identified job engagement mediating factor to enhance organisational productivity in a gamified system. Conclusion: The effectiveness of gamification in enhancing work engagement may depend on factors such as the design of the gamification system, the preferences and motivations of individual employees, and the organizational culture and goals. The findings have significant implications for insight into how employees in the service sector are aware of the gamified working environment and react to the system through work engagement and productivity.
Simulation Based Fault Detection and Design Modification for Highly Dynamic Robotic Systems

of Dissertation Simulation Based Fault Detection and Design Modification for Highly Dynamic Robotic Systems The current approach to creating and improving robots and their control systems follows a cycle where complex mechanisms and controllers are iteratively designed, briefly debugged in a simulated environment, built, tested and then redesigned to address anomalous behaviors that were observed during in situ testing. During the initial cycles of this procedure, when unvetted control systems are tested on physical hardware, easily avoidable errors (e.g., unexpected collisions from inexact link geometry measurements or parasitic oscillation in actuators and passive elements) can have catastrophic consequences. Although testing robots in situ can be costly, often entirely new phenomena emerge from situated testing that were not observed throughout early computerized simulation-based testing. The discovery of such unanticipated behavior is currently considered a normal occurrence during robotics testing in situ. This anticipated unanticipated behavior—the expectance of the unknown during robot operation—is due in part to the increased complexity of robotic systems (e.g., uneven terrain, impacting collision, unpredictable contact conditions) compared to typical automotive or aerospace applications that rely heavily on simulation-based testing before physical testing. I have investigated a statistical approach to simulation, where the indeterminacy of physical models or uncertainty in the structure of a mechanism or its environment is represented as a collection of particles in many parallel simulations. The aim of this approach is to inform roboticists of the possible unknown or unexpected behaviors that a robotic system may exhibit in order to address these faults before they have been observed on the physical system. Our approach excites many of the errors caused by modeling, sensory, actuation, and communication error or uncertainty and can assist roboticists in determining whether certain robot designs, control systems, or modeling assumptions might result in hard-to-predict behavior; I use this information to predict the robustness or brittleness control policies and then validate the predictions in situ, on low-cost quadrupedal robots. This dissertation presents tools for automating and or simplifying a roboticist’s typical workflow
Real-Time Access to Collisions between a Two-Soliton Molecule and a Soliton Singlet in an Ultrafast Fiber Laser

Optical solitons in ultrafast fiber lasers, as a result of dual balances between dispersion and nonlinearity as well as gain and loss, enable various soliton interactions. Soliton collisions are among the most intriguing soliton interactions, which fuel the understanding for particle-like properties of solitons. Here, we experimentally investigate the transient dynamics of collisions between a two-soliton molecule and a soliton singlet in a mode-locked fiber laser. By means of the dispersive Fourier transform technique, the evolving spectral interferograms of different collision scenarios are measured in real time. In particular, the “quasi-elastic” collision is observed, which shows that the soliton-molecule state remains unaltered after the collision and the group-velocity difference between the soliton molecule and the singlet is changed. It is directly demonstrated that a bond exchange occurs between the colliding solitons. By tuning the intra-cavity polarization controller, the dynamic processes of other collision outcomes, including the annihilation of a soliton in the soliton molecule as well as the formation of a stable unequally spaced soliton triplet, are also revealed. Our work facilitates a deeper understanding of soliton collision dynamics in ultrafast fiber lasers.
Bulk linearisation of the MOS resistor

A bulk-linearised composite MOSFET is presented, with an extended linear range and an equivalent saturation voltage of up to several hundred mV even in weak inversion. Some preliminary measurements are presented as well as a 300 MΩ equivalent resistor, with almost a 1 V quasi-linear range. A low frequency, 28 dB gain, biomedical bandpass filter/amplifier is also shown, taking advantage of the linearised MOSFETs to consume only 16 nA of supply current.
Obstacle avoidance and control of Swedish wheeled mobile robot

: The main focus of this work is on obstacle avoidance and trajectory tracking of Swedish wheeled omnidirectional mobile robot. The proposed obstacle avoidance algorithm takes information from its onboard sensors and modulates trajectory such that the robot moves towards the goal, having maximum distance from the obstacles and minimum deviation from the trajectory. The proposed trajectory tracking controller is formulated based on linear model predictive control (MPC). The motivation of the use of linear MPC is its less computational cost relative to the nonlinear MPC. Realistic simulations are performed to test the validity and performance of the proposed obstacle avoidance algorithm and the trajectory tracking controller .