Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis de las producciones escritas de un joven con altas capacidades desde la psicología positiva

La educación de las personas con altas capacidades tiene muchos conflictos e inconsistencias que pueden ser válidos y ricos para discusiones académicas, pero que también contribuyen a estimular barreras que impiden que estos estudiantes reciban reconocimiento educativo. De manera general esos estudios han avanzado en la búsqueda de la comprensión de los factores que, además de la inteligencia, son significativos en este proceso y resaltan el papel de los factores ambientales, sociales y emocionales en la expresión de habilidades superiores. Considerando la Psicología Positiva que estudia lo que hace que la vida merezca ser vivida y donde se estudia la experiencia óptima, esto es, a las personas siendo y dando lo mejor de sí mismas, se aborda un estudio de caso. Se plantea el análisis de 3 producciones de texto elaboradas por un joven con altas capacidades entre los 12 y 14 años, que participó en un programa de mentoría universitaria en Cantabria. En las producciones textuales se pudo observar la mejora en la calidad técnica de la escritura, más allá de la imaginación, la creatividad y la trascendencia como fortalezas que han evolucionado, integrado y asentado a rasgos personales al largo del tiempo. Se espera que los resultados del presente estudio puedan ampliar la comprensión de la dimensión emocional de estos individuos.
Power quality disturbance data compression using wavelet transform methods

In this paper, the authors present a wavelet compression technique for power quality disturbance data. The compression technique is performed through signal decomposition, thresholding of wavelet transform coefficients and signal reconstruction. Threshold values are determined by weighting the absolute maximum value at each scale. Wavelet transform coefficients whose values are below the threshold are discarded, while those that are above the threshold are kept along with their temporal locations. The authors show the efficacy of the technique by compressing actual disturbance data. The file size of the compressed data is only one-sixth to one-third that of the original data. Therefore, the cost related to storing and transmitting the data is significantly reduced.
Quantitative assessments for transient voltage security

Transient voltage security means that the power system is both transient voltage stable and transient voltage dips acceptable. These definitions are clarified in this paper. A self-start technique for computing transient voltage stability related limits is proposed. Based on a margin for transient voltage dip acceptability, a criterion for early termination of the simulation is put forward. Moreover, the procedure of calculating critical clearing time for transient voltage security is extended to that of calculating the critical load level, the minimum reactive power resources and minimum load shedding for keeping transient voltage security. It is also suggested that transient angle stability and transient voltage stability and transient voltage dip acceptability be quantitatively assessed along the same simulation trajectory. The most critical one among the three kinds of limits is regarded as the global transient security limit. The effectiveness and robustness of the proposed approach are demonstrated in this paper with statistic information resulting from 47,987 test cases on two practical power systems.
Impact of driving characteristics on electric vehicle energy consumption and range

This study investigates the impact of driver behaviour/driving-style on the energy consumption, state-of-charge (SOC) usage and range, of all-electric vehicles (EVs). Results from many driving cycles using a sole driver, along with those from a pre-defined ~40 km route encompassing both urban and rural roads in Sheffield (UK) with various drivers, are given and analysed. The platform for the study is an all electric-drive Smart Fortwo ED, supplied using Zebra battery technology. Measurements of real-time quantities such as wheel speed and SOC over a number of driving trials show that energy consumption is significantly affected by driving style, and that through basic statistical analysis of acceleration profiles, for instance, a metric for assessing 'good driving practice' can be obtained. It is ultimately shown that the difference between driving in a moderate manner, and more aggressively, can make ~30% difference in energy consumption - amounting to 30 g/km of CO 2 (equivalent) over the driving duty considered in this case. The results also highlight the substantial savings that can be accrued by appropriate traffic management in congested areas, by allowing the driver to minimise periods of repeated acceleration/deceleration and allow longer periods of steady-speed motion. Although a pure EV platform is used to focus the study, ultimately the results are more widely applicable to plug-in hybrid counterparts.
What Young People Pursuit? The Value in Social Interaction Platforms

The reach of social interaction platforms (SIP) has rapidly risen to 2 nd place, just falling behind major portal websites. Due to the communication features and possibilities that social interaction platforms offer, it became extremely easy for web users to become unconsciously "hooked" to the platform. To examine the user value sought by SIP, this study drew on the Means-end Chains (MECs) method as a theoretical basis. Soft Laddering method was also adopted as a tool for in-depth interviews. Content analysis was used to analyze the "Attributes-Consequence-Value" for SIP players, then converted into a Hierarchical Value Map (HVM). The study found that. Results of the study revealed seven primary factors of consideration for respondents in their selection of social interaction platforms, namely: rich in functions, multiple users, real time interaction, simple and easy-to-use interface, ample news topic, peer strength and high level of control. Respondents identified eight platform usage results, including resource sharing, kill time, save costs on connection, high repetitive browsing rate, boost interaction, relieves stress, boost efficiency and a sense of excitement. Fun and enjoyment of life, warm relationships with others, sense of belonging, sense of accomplishment and security and being well respected were the six fundamental perceptions of value that social interaction platform users experienced.
Samen werken aan innovatie:een onderzoek naar de samenwerking tussen commercie en ontwikkeling bij produktinnovatie

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Nutritional Status, Selected Nutrients Intake and Their Relationship with the Concentration of Ghrelin and Adiponectin in Patients with Diabetic Nephropathy

Background: Overnutrition is one of the risk factors of chronic kidney disease (CKD). The factors related to both obesity and CKD are adiponectin and ghrelin. The aim of the study was to assess if there is a link of nutritional status and selected nutrients intake with adiponectin and ghrelin in patients with diabetic nephropathy (DN). Methods: The study involved 55 patients diagnosed with DN in the pre-dialysis period (two groups: GFR < 30 and >30 mL/min/1.73 m2). In all participants standard blood tests, total ghrelin and total adiponectin plasma concentrations and anthropometric measurements (BMI, WHR- waist–hip ratio, body composition analysis) were performed. The evaluation of energy and nutrient intakes was made using the three-day food record method. Results: Excessive body weight was found in 92.80% patients. The average daily energy intake was 1979.67 kcal/day (14.45% protein energy, 28.86% fat, and carbohydrates 56.89%). In the group with eGFR < 30 mL/min/1.73 m2 the analysis showed a negative relationship between ghrelin and WHR value, and the creatine and albumin concentrations. There was a positive correlation between ghrelin concentration and the consumption of carbohydrates and sucrose. In the group of patients with eGFR > 30 mL/min/1.73 m2, a positive correlation was found between the concentration of ghrelin and the consumption of vegetable protein, carbohydrates, and glucose. Conclusions: The study confirms the high prevalence of obesity in patients with DN-Excessive supply of protein was found in the patients’ diets, which may contribute to the deterioration of the course of the disease and its prognosis. In patients with eGFR < 30 there was a negative correlation between ghrelin concentration and nutritional status, and in patents with eGFR > 30 between ghrelin concentration and some nutrients intake.
Noninvasive risk factors for the prediction of inducibility on programmed ventricular stimulation in post‐myocardial infarction patients with an ejection fraction ≥40% at risk for sudden cardiac arrest: Insights from the PRESERVE‐EF study

In the PRESERVE‐EF study, a two‐step sudden cardiac death (SCD) risk stratification approach to detect post‐myocardial infarction (MI) patients with left ventricle ejection fraction (LVEF) ≥40% at risk for major arrhythmic events (MAEs) was used. Seven noninvasive risk factors (NIRFs) were extracted from a 24‐h ambulatory electrocardiography (AECG) and a 45‐min resting recording. Patients with at least one NIRF present were referred for invasive programmed ventricular stimulation (PVS) and inducible patients received an Implantable Cardioverter ‐ Defibrillator (ICD).
Dynamic Analysis and Quasi-Sliding Mode Control of Mobile Robot

To avoid the chattering disadvantage of sliding-mode control (SMC), in this paper, a quasi-sliding mode controller is proposed for real-time fine control of a nonholonomic mobile robot. First, the dynamics of mobile robot is analyzed by Lagrangian formula. Then, the quasi-sliding mode controller is used to generate the control torque that drives the mobile robot, such that the linear and angular velocities of the mobile robot follow the desired velocities. At last, computer simulation results confirm the effectives of SMC.
AAPOR Roundtable: Improving Income Measurement

The Census Bureau established the SIPP Methods Panel project to evaluate and redesign the core instrument for SIPP, a recurring, nationally representative, longitudinal survey of people and their socio-economic characteristics. The objectives of the project are to improve response rates in SIPP, to reduce burden, and to improve data quality. It is a research project consisting of analysis of extant data as well as experimental research. The data analysis component includes examining patterns of nonresponse, examining reporting patterns across waves of interviewing, and analyzing patterns of income receipt. The program of experimental research consists of three phases, designed to allow for three iterations of testing and refining the Wave 1 core instrument and two iterations for Wave 2. Each experiment involves the selection of an independent sample of the population in six regional offices—half of which are to be randomly assigned to a control group, and half assigned to a treatment group. Each sample is designed to have 2000 interviewed cases, with the half in the control group receiving the SIPP instrument in the field at the time of the experiment and the other half in the treatment group receiving an experimental instrument. The AAPOR roundtable discussion presents findings from the first two field tests conducted in summer 2000 and summer and fall 2001 and uses that to promote dialogue on successful approaches to designing instruments for complex longitudinal surveys. Topics to address include approaches to reducing item nonresponse and income underreporting, methods of collecting earnings and their impact on response rates and data quality, nonresponse follow up techniques and their success, methods of improving interview efficiency and assessment of interviewer satisfaction, the success of new methods of assessing within household coverage, and a cognitive assessment of dependent interviewing techniques. Background
Application of Neural Networks in Diagnosis of Valve Physiological Heart Disease from Heart Sounds

Classification of the sound heart into different valve-physiological heart disease categories is a complex pattern recognition task. In this paper application of various types of neural networks are introduced for diagnosing heart disease). At first a method is described for extracting useful features from the sound hearts and then a simple algorithm is introduced for heart sounds recognition. In fact, feature vectors are formed based on a wavelet decomposition of the sounds. The heart sound diseases are classified into normal heart sound and the other six valve physiological heart categories. Different types of artificial neural networks (ANNs) are used for this purpose. Those are Multilayer perceptron (MLP) with back propagation training algorithm, Elman Neural Network (ENN) and Radial Basis Function (RBF) Network. Expensive experimental results show an average recognition score of 81.25% to 96.42%.
Is Elevated Red Blood Cell Distribution Width Value a Prognostic Marker in Sepsis Patients?

Sepsis and its complications are a common cause of infectious disease and death in worldwide. But the infection can be challenges to confirm and there is gold standard methods to confirm it. Red blood cell distribution width (RDW) value frequently measured at every complete blood count. In sepsis the RDW morphology changes are believed to be mainly related to prognosis. RDW has also been studied as an independent variable in different predictive score. We systematically review the articles can RDW be used as prognostic marker in patient with sepsis.
Are we a growing a green generation? Exploring young people’s pro-environmental orientation over time

ABSTRACT Young people are key actors in the transition to more sustainable lifestyles and consumption patterns. Therefore, it is important to understand how environmental values and behaviours change in the transition from youth to young adulthood. In this paper, we trace the development of a pro-environmental orientation from late adolescence through emergent adulthood to young adulthood in a longitudinal survey study that included a cohort of young Danish people born between 1987 and 1992, aged 16–20 in the first study and 30–34 in 2021. The main objective is to explore whether and in which direction the pro-environmental orientation of this cohort changed during late adolescence through emergent and young adulthood. We assess whether the observed changes derive from developmental, cohort or period effects. Overall, we see a weakening of pro-environmental values and attitudes, while the frequencies of pro-environmental behaviours are increasing.
Analysis of pixel circuits in CMOS image sensors

CMOS image sensors (CIS) have lower power consumption, lower cost and smaller size than CCD image sensors. However, generally CCDs have higher performance than CIS mainly due to lower noise. The pixel circuit used in CIS is the first part of the signal processing circuit and connected to photodiode directly, so its performance will greatly affect the CIS or even the whole imaging system. To achieve high performance, CMOS image sensors need advanced pixel circuits. There are many pixel circuits used in CIS, such as passive pixel sensor (PPS), 3T and 4T active pixel sensor (APS), capacitive transimpedance amplifier (CTIA), and passive pixel sensor (PPS). At first, the main performance parameters of each pixel structure including the noise, injection efficiency, sensitivity, power consumption, and stability of bias voltage are analyzed. Through the theoretical analysis of those pixel circuits, it is concluded that CTIA pixel circuit has good noise performance, high injection efficiency, stable photodiode bias, and high sensitivity with small integrator capacitor. Furthermore, the APS and CTIA pixel circuits are simulated in a standard 0.18-μm CMOS process and using a n-well/p-sub photodiode by SPICE and the simulation result confirms the theoretical analysis result. It shows the possibility that CMOS image sensors can be extended to a wide range of applications requiring high performance.
Quantifying domestic violence in times of crisis: An internet search activity‐based measure for the COVID‐19 pandemic

In contrast to widespread concerns that COVID‐19 lockdowns have substantially increased the incidence of domestic violence, research based on police‐recorded crimes or calls‐for‐service has typically found small and often even negligible effects. One explanation for this discrepancy is that lockdowns have left victims of domestic violence trapped in‐home with their perpetrators, limiting their ability to safely report incidents to the police. To overcome this measurement problem, we propose a model‐based algorithm for measuring temporal variation in domestic violence incidence using internet search activity and make precise the conditions under which this measure yields less biased estimates of domestic violence problem during periods of crisis than commonly used police‐recorded crime measures. Analysing the COVID‐19 lockdown in Greater London, we find a 40% increase in our internet search‐based domestic violence index at the peak occurring 3–6 weeks into the lockdown, ‐seven to eight times larger than the increase in police‐recorded crimes and much closer to the increase in helpline calls reported by victim support charities. Applying the same methodology to Los Angeles, we find strikingly similar results. We conclude that evidence based solely on police‐recorded domestic violence incidents cannot reliably inform us about the scale of the domestic violence problem during crises like COVID‐19.
Social Media for Clinical Trial Recruitment: How Real is the Potential?

Research teams increasingly use social media to supplement nondigital methods for recruiting research participants. This trend is likely to grow as recruitment continues to pose a major challenge to clinical trials and other forms of human subject research. The European Patients’ Academy (EUPATI) defines clinical trials as research studies involving people (healthy volunteers or patients) that test the safety and efficacy of a new medical treatment, device, surgical procedure, or medical test. Without these volunteers, this type of research and medical progress would be impossible; however, research participants can be hard to recruit. A recent systematic review found that 76.1% (131/172) of randomised clinical trials were discontinued due to poor recruitment.1
Att2ResNet: A deep attention‐based approach for melanoma skin cancer classification

This paper presents an in‐depth study on the contribution and integration of attention mechanisms into deep learning architectures for melanoma classification. Indeed, the concept of attention helps guide the learning process to focus on some parts of the input image deemed to be the most significant. Nevertheless, to the best of our knowledge, a study on how and where to integrate such mechanisms has never been conducted in the context of melanoma classification. Consequently, we propose such a study in three main stages. First, we propose an improvement in the transfer learning process for the specific case of melanoma classification. Then, we develop a basic variant of our architecture allowing to integrate an additive attention mechanism in an adapted ResNet network. We finally investigate the impact of the number of mechanisms and their location in the melanoma classification architecture. Better results are reported on two standard datasets.
Comparação entre os Efeitos da Ingestão de Sal do Himalaia e de Sal Comum sobre os Valores de Sódio Urinário e Pressão Arterial em Indivíduos Hipertensos

Resumo Fundamento O sal do Himalaia (SH) tornou-se uma alternativa popular para o sal de mesa (SM) devido às suas alegações de benefícios à saúde, principalmente para indivíduos com hipertensão arterial. Porém, apesar do aumento do consumo de SH, ainda faltam evidências clínicas que sustentem a recomendação de seu consumo por profissionais de saúde. Objetivo Este estudo teve como objetivo comparar o impacto da ingestão de SH e SM sobre a pressão arterial sistólica (PAS), pressão arterial diastólica (PAD) e concentração de sódio urinário em indivíduos com PA. Métodos Este estudo recrutou 17 pacientes do sexo feminino com hipertensão arterial que comiam fora de casa no máximo uma vez por semana. Os participantes foram divididos aleatoriamente em dois grupos, para receber e consumir SH ou SM. Antes e depois de cada intervenção, os participantes tiveram sua pressão arterial medida e urina coletada para análise mineral. Um valor de p <0,05 foi considerado estatisticamente significativo. Resultados Não houve diferenças estatisticamente significativas antes e depois da intervenção SH para PAD (70 mmHg vs. 68,5 mmHg; p = 0,977), PAS (118,5 mmHg vs. 117,5 mmHg; p = 0,932) e concentração urinária de sódio (151 mEq / 24h vs. 159 mEq / 24; p = 0,875). Além disso, a análise entre os grupos não mostrou diferenças significativas após a intervenção em relação a PAS (117 mmHg vs 119 mmHg; p = 0,908), PAD (68,5 mmHg vs 71 mmHg; p = 0,645) ou concentração urinária de sódio (159 mEq / 24h vs 155 mEq / 24h; p = 0,734). Conclusão Este estudo sugere que não há diferenças significativas no impacto do consumo de SH em relação ao SM na PA e concentração urinária de sódio em indivíduos com hipertensão arterial.
Urban Greenways, Trail Characteristics and Trail Use: Implications for Design

This paper illustrates how remote sensing technologies and geographic information systems (GIS) can be used to enhance modelling of urban greenway trail traffic and to draw inferences about the relationships between features of trail design and trail use. Measures of daily trail traffic come from a network of 30 infrared counters deployed over a 33-mile trail system in Indianapolis, Indiana. Among other results, the paper illustrates how Light Detection and Ranging (LIDAR) data obtained from an aircraft platform can be used to create three-dimensional surface models from which trail viewsheds can be measured and characterized. Regression modelling is used to correlate trail traffic with these viewshed characteristics and with other neighbourhood and control variables. The results provide empirical support for several design hypotheses. Other factors being equal, daily trail traffic is positively correlated with the openness of trail viewsheds, the greenness of trail viewsheds relative to surrounding neighbourhoods, and the diversity of land use within trail viewsheds. Trail traffic is inversely correlated with visual magnitude, a measure of the interconnectedness of a viewshed. Although theory suggests higher levels of pedestrian traffic may be associated with shorter block lengths, trail traffic is positively correlated with block length in trail neighbourhoods. Planners and designers can use this evidence base to enhance greenway planning and design.