Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis Motivacional del Alumnado Universitario Transfronterizo de Ceuta y Melilla

La motivación es uno de los principales factores psicológicos que influye en el éxito académico del alumnado universitario, así como en el fracaso académico y/o el abandono del mismo. En este estudio, con un diseño descriptivo, de carácter transversal, participaron un total de 292 estudiantes universitarios (195 mujeres y 97 hombres) matriculados en la Universidad de Granada, en los Campus de Ceuta y de Melilla, con el objetivo de analizar la motivación en relación a la religión y la titulación de este alumnado. Metodología: Respondieron a un instrumento cuantitativo formado por un cuestionario sociodemográfico ad-hoc y a la Escala de Motivación Situacional de Guay, Vallerand y Blanchard (2000) adaptada al español por Martín-Albo, Núñez y Navarro (2009). Resultados: Entre los resultados cabe destacar que el alumnado cristiano cuenta con valores medios de motivación intrínseca superiores a los del alumnado musulmán. Asimismo, el alumnado del grado en Administración y Dirección de Empresas es el que obtiene valores más bajos de motivación intrínseca. El alumnado del grado en Educación Infantil es el que se encuentra más motivado intrínsecamente, correspondiéndose este hecho con el carácter vocacional de la titulación. En cuanto a la relación entre las dimensiones, existe una relación negativa significativa entre la motivación intrínseca y la amotivación, por lo que el alumnado que se encuentra intrínsecamente motivado tiene menos riesgo de desmotivación. Asimismo, la regulación introyectada tiene una relación positiva con la motivación intrínseca y negativa con la amotivación, por lo que el alumnado que manifiesta una mayor regulación interna adquiere una mayor motivación intrínseca y una menor amotivación. Discusión y conclusiones: Los resultados de este estudio destacan la repercusión que tiene la motivación del alumnado universitario sobre sus decisiones, así como el papel del género, la religión y la titulación universitaria como reguladores motivacionales.
Predicting Attitudes toward Marital Infidelity Based on Attachment and Perfectionism Styles

The present study aims to predict the attitude towards marital infidelity based on attachment and perfectionism styles. The research method was correlational-descriptive and the statistical population was all married students of Islamic Azad University, Lahijan Branch. A sample of 369 students was selected by convenience sampling method. Attachment Styles (Hazen & Shaw, 1987), Perfectionism (Terry Short et al., 1995), and Attitude to Marital Infidelity (Watley, 2006) Questionnaires were used to collect data. The research hypotheses were examined through Pearson correlation test and multiple regression and found that a significant correlation exists between marital infidelity with ambivalent attachment style (0.450), avoidant attachment style (0.348), safe style (-0.519), positive perfectionism (-0.403) and negative perfectionism (0.433). In addition, the multiple regression model indicated that attachment and perfectionism styles could accurately predict 34% and 25% of the variance of marital infidelity, respectively. The results indicated that creating a secure attachment style and positive perfectionism in individuals is related to reducing marital infidelity and consequently increasing family stability
Optimizing RDF Stream Processing for Uncertainty Management

RDF Stream Processing (RSP) has been proposed as a way of bridging the gap between the Complex Event Processing (CEP) paradigm and the Semantic Web standards. Uncertainty has been recognized as a critical aspect in CEP, but it has received little attention within the context of RSP. In this paper, we investigate the impact of different RSP optimization strategies for uncertainty management. The paper describes (1) an extension of the RSP-QL⋆ data model to capture bind expressions, filter expressions, and uncertainty functions; (2) optimization techniques related to lazy variables and caching of uncertainty functions, and a heuristic for reordering uncertainty filters in query plans; and (3) an evaluation of these strategies in a prototype implementation. The results show that using a lazy variable mechanism for uncertainty functions can improve query execution performance by orders of magnitude while introducing negligible overhead. The results also show that caching uncertainty function results can improve performance under most conditions, but that maintaining this cache can potentially add overhead to the overall query execution process. Finally, the effect of the proposed heuristic on query execution performance was shown to depend on multiple factors, including the selectivity of uncertainty filters, the size of intermediate results, and the cost associated with the evaluation of the uncertainty functions.
Design of Event-Triggered Controllers Using Gaussian Processes

In networked control systems, it is an important issue to reduce communication costs using ape-riodic communication. In this paper, we propose a method to design the event-triggered controllers, which contains the control policy and the communication policy, for uncertain discrete-time non-linear systems with disturbances. The control policy determines the control inputs to drive the system to the target state
AnneBot: Um Chatbot para Auxiliar no Processo de Ensino e Aprendizagem do Pensamento Computacional

Este trabalho apresenta um chatbot intitulado com AnneBot desenvolvido na linguagem de programação Python para auxiliar os alunos no processo de ensinoaprendizagem do Pensamento Computacional(PC). O chatbot foi disponibilizado no aplicativo mensageiro Telegram, sendo possível realizar modificações das perguntas e respostas quando necessário, objetivando melhorar o aprendizado dos alunos.Link para o vídeo de apresentação: https://youtu.be/snj1CGRBHiQ
A Clock Distribution Scheme Insensitive to Supply Voltage Drift With Self-Adjustment of Clock Buffer Delay

In this brief, a clock distribution scheme insensitive to supply voltage drift is proposed that minimizes variation of the clock propagation delay caused by the supply voltage change. While the overall clock distribution is composed of a current mode logic (CML) path and a CMOS path, most delay variations occur in the CMOS path. In the proposed scheme, delays in the CMOS path such as CML-to-CMOS converter (C2C) and inverters, are adjusted to compensate for the supply voltage drift. The bias generator provides self-generated bias voltages in response to the supply voltage drift for delay adjustment in the C2C and inverters. The proposed clock distribution path is fabricated in a 40 nm CMOS process with an active area of 0.004 mm2. Measured results show that the proposed scheme reduces the root-mean-square (RMS) jitter from 3.97 psRMS to 1.62 psRMS when the 1.1-V supply voltage is modulated by a sinusoidal wave of the 10-MHz, 100-mV peak-to-peak swing. Power consumption with differential 6-GHz clock is 11.02 mW over the clock path distance of 0.4 mm.
Automatic Detection for Privacy Violations in Android Applications

While providing significant convenience for people, mobile applications (Apps) bring serious privacy leakage and invasion threats over certain platforms (e.g., Android) due to privacy violations. To protect users from these threats, a lot of works related to privacy violation detection have been proposed. However, few of them particularly check the violations, including lacking privacy policy, collecting privacy before statement, lacking account cancelation service, and stubborn permission request. Toward this end, we design an automatic detection tool named PVDetector to detect these violations in Android Apps. We extract and construct relevant threat forms by statically and dynamically analyzing Apps’ behaviors, and then fine tune these forms through threat-form-matching methods on problematic Apps. Finally, a comprehensive experiment is conducted to detect privacy violations on different Android application markets by PVDetector. Specifically, we detect 16 162 Android Apps (involving people’s various aspects of life) collected from six popular official application markets and three special categories. The experiment results indicate that the situation that Apps contain privacy violations is greatly serious in these markets and categories. We also randomly check the experiment results of 385 Apps. The check results illustrate that the detection accuracy of PVDetector can reach 93%.
Knowledge of Pharmacists about Nuclear Pharmacy Services in Saudi Arabia

Goal: The knowledge of nuclear pharmacy is essential in pharmacy practice. In addition, the nuclear pharmacy services demand various diagnoses and drug therapy management. In this study, we aimed to explore pharmacists’ knowledge about nuclear pharmacy in the Kingdom of Saudi Arabia. Methods: This is a cross- sectional qualitative study. In this study, we distributed an electronic validated reliability questionnaire to all pharmacists and pharmacy interns. Students were excluded from this study. The survey collected demographic data of the responders and the knowledge of pharmacists about nuclear pharmacy, radioactive drugs, and resources of nuclear pharmacy. Data were analyzed using Statistical Package of Social Science (SPSS), Microsoft Excel, and Survey Monkey system. Results: A total of 235 pharmacists responded to the survey questionnaire. Of them, 142 (63.96%) were male, and 80 (36.04%) were female, with a statistically significant difference between them (p<0.001). About two-thirds of the pharmacists had earned a Bachelor’s degree (149 (63.40%)) and Diploma in Pharmacy (75 (31.91%)), with statistically significant differences among all qualifications (p<0.001). The average score for pharmacists’ knowledge of nuclear pharmacy services was 1.61, with high scores obtained for the elements—knowledge of the nuclear pharmacist has additional salary in Saudi Arabia (1.76) and radiation safety considerations (1.73). The average score was obtained for knowledge of radiopharmaceutical products (1.63), and the highest score on knowledge was obtained for 131 I-Sodium Iodide capsule five mCi (for thyroid therapy) (1.8) and 201 Tl-Thallium solution five mCi (for cardiac imaging) (1.8). The resources used to access information about nuclear pharmacy services were drug information resources (93 (40.09%)), scientific literature (83 (35.78%)), and the internet (83 (34.48%)). Conclusion: The pharmacist’s knowledge of nuclear pharmacy services and radiopharmaceutical products was poor. Therefore, to expand nuclear medicine, including pharmacy-related nuclear services, we recommend implementing the education and training program on nuclear pharmacy in Saudi Arabia.
Analysis of single telomeres using fluorescence microscopy

Eukaryotic chromosome ends are protected by special DNA structures known as telomeres. In mammals the DNA of telomeres consist of TTAGGG repeats which, in cooperation with specialized proteins, “cap” the ends of chromosomes to protect the chromosomes from end-to-end fusion and erosion. Thus, telomeres are important to maintain chromosome stability and play a vital role in preserving the information in our genome. A key factor of telomeric function is the length of the telomeres. Short and dysfunctional telomeres with less than a few dozen repeats are associated with genomic instability and tumorigenesis. Furthermore, loss of telomere function is implicated in numerous diseases like bone marrow failure, hematological malignancies and other cancers. There is a substantial body of evidence indicating that the average length of telomeres can provide prognostic information in human diseases. However, limitations in the currently available technologies for detecting and measuring the length of telomeres has hampered progress in translating telomere length assays into clinical practice. Additionally, many questions about the relation between telomere length and telomere function remain to be answered. Consequently, novel approaches to study single telomeres are of significant interest. In this study, I investigated two cutting-edge technologies to assess properties of telomeres. I used quantitative fluorescence in situ hybridization (Q-FISH) to identify the length of telomeres based on fluorescence values. Using Q-FISH, I was able to generate DNA measurements using plasmids with different size telomeric inserts that served as a reference for length quantifications taken on different platforms. Also, I initiated explorations of a novel high-throughput method to study physical properties of single telomeres and, potentially, measure the length of telomere repeats. Convex Lens-induced Confinement technique (CLiC) is a technique developed to image individual biological molecules and study their dynamics. Using the CLiC platform, I sought to define the length of plasmid DNA based on diffusion coefficient values.
A case report and first-person account of an individual at risk for psychosis who improved during the COVID-19 pandemic

ABSTRACT Background The COVID-19 pandemic is expected to increase stress and mental health symptoms. We present the case of a young man at risk for psychosis who has paradoxically shown symptomatic and functional improvement as a result of circumstances produced by COVID-19. These changes were unexpected given the client’s persistent mental health struggles in the year leading up to the COVID-19 outbreak in the United States and the expectation of an exacerbation of psychotic-like symptoms. Methods This report is based on clinical assessments and the client’s first-person account during the height of the pandemic when stay at home orders were in place. Results During the pandemic, the client demonstrated increased agency by taking on more responsibility at home and obtaining part-time employment. He showed improvement in his mood and relationships with others, had less symptom-related distress, and significantly reduced his cannabis use. The client interpreted these improvements in terms of changing his mindset toward more adaptive thoughts and engaging in healthy coping skills such as praying, reading, and healthy eating. Discussion This case highlights the importance of fostering agency in clients during a time of crisis and ensuring that clinicians be aware of potential biases about mental health symptom exacerbation.
CFD Analysis of Solid Desiccant Dehumidifier Wheel

Desiccant cooling and dehumidification systems control both the air humidity as well as the operating cost by reducing the energy requirements of the supply air systems. This study used flow simulation CFD high resolution to better understand the vapor flow through complex porous media. The CFD simulation of the adsorption cooling system showed that the design could have beneficial effects on the performance of the system. The emphasis is on optimizing the process to remove the moisture, and the optimal process inflow velocity for the particular desiccant wheel model is determined to be between 1.5
Civility in digital discourse : an experimental approach to the contagion of thoughtful and hurtful responses

Civility is a concept still not well understood or systematically defined by scholars of communication and political science. As such, many in the public sphere have echoed that certain linguistic behaviors characterized by civility and incivility set the tone and can affect downstream or peripheral conversation. This study measures if civility or incivility is contagious, especially as it relates to political disagreement on social media. In an experimental study (n=585), mTurk participants were randomly presented with short vignettes similar in length and framework to a social media post. These posts conveyed opinions in direct opposition to participants’ views on gun control and either contained language classified as informational (Control), civil (Treatment 1), or uncivil (Treatment 2). After reviewing a vignette, participants were then asked about their willingness to respond to the vignette as if the words were directly spoken to them on social media. Participants then were asked their if response to the vignette would be characterized by civility. The findings are mixed, but indicate that when a respondent received an uncivil
Expression of Elicitin Response Protein plus Alpha-Chemokines in Lung Cancer

To investigate the expression of elicitin response protein and alpha-chemokines in lung cancer, inflammatory tissues and normal tissues and to observe the relationship between the expression of age, sex, tumor type, stage, differentiation and vascular endothelial growth factor. To detect the expression of chemokines in squamous cell carcinoma, adenocarcinoma and small cell lung cancer and analyze the relationship between the expression of age, gender, pathological grade and stage. The high expression rate of elicitin response protein and alpha-chemokines in lung cancer was higher than that in normal tissue and the difference was statistically significant (p<0.05). The expression of elicitin response protein and alpha-chemokines in different pathological types was different (p<0.001). The expression of elicitin response protein and alphachemokines in lung cancer was independent of age and gender. C-X-C motif chemokine ligand 3, C-X-C motif chemokine ligand 5 and C-X-C motif chemokine ligand 7, as elicitin response protein members, may play a more important role in lung cancer formation than other C-X-C motif chemokine ligand members. There was correlation between the expression of alpha-chemokine and vascular endothelial growth factor. Elicitin response protein and alpha-chemokines may play important role in development of lung cancer, especially the C-X-C motif chemokine ligand 3, C-X-C motif chemokine ligand 5 and C-X-C motif chemokine ligand 7 may become new potential diagnostic and therapeutic targets.
CT Blend Signs are not Associated with Poor Outcome in Patients with ICH Following a Stereotactic Minimally Invasive Surgery

Backgrounds: The initial CT blend sign has been used as an imaging maker to predict haematoma expansion and poor outcome in patients with small volume intracerebral haemorrhage (ICH). However, the relationship between the blend sign and the outcome of patients remains elusive. The present study aimed to retrospectively observe the impact of initial CT blend signs on the short-term outcome of patients with hypertensive ICH underwent a stereotatic minimally invasive surgery (sMIS). Methods: Two hundreds and forty-two patients with spontaneous ICH were enrolled. Based on the initial CT features, the patients were assigned to a blend sign group (including 91 patients) or a non-blend sign group (control group, including 151 patients). The NIHSS, GCS and the mRS were used to observe the efficacy of the sMIS. The rates of severe pulmonary infection, cardiac complications were also compared between the two groups. Results: No significant differences in NIHSS and GCS in one week or two weeks after surgery were observed between the two groups. The proportion of patients with good outcome during follow-up did not show any difference between the two groups. However, both the two groups displayed good functional outcome over admission. The rate of rehaemorrhage increased in the blend sign group. No significant differences in severe pulmonary infections and cardiac complications were noted between the two groups. Conclusions：The initial CT blend sign are not associated with poor outcome of patients with hypertensive ICH underwent sMIS. ICH patients with CT blend sign should be also treated by performing sMIS if they are candidates for surgery.
Harmonic Suppression Scheme for Multipulse Converter Fed Multilevel Inverter-Based IM Drive

The medium-voltage induction motor drives are regularly utilized for crucial application in enormous industries. It is difficult to design a highly efficient drive system with a satisfactory power quality standard not only at the drive end but also at the grid end. To breakthrough this issue, a 36-pulse ac–dc converter fed seven-level binary cascaded H-bridge multilevel inverter (CHB-MLI) based drive system is presented in this work, where a 36-pulse converter is employed to enhance the power quality at the grid end. For this, the phase-shifted technique is implemented on a multiwinding transformer to eliminate the harmonics injected by the nonlinear diode bridge rectifier toward the grid side. Apart from this, the genetic algorithm selective harmonic elimination (GA-SHE) is applied to a seven-level binary CHB-MLI to diminish lower order (fifth and seventh) harmonics at the drive end. Moreover, a GA is adopted to determine the optimized switching angles by the solution of the nonlinear trigonometric equation of SHE. Furthermore, the GA-SHE-based fundamental frequency modulation scheme is favorable to decrease the switching losses and to enhance the drive end converter efficiency. The performance during the dynamics and steady state of the presented drive system with the indirect field-oriented control is analyzed through simulations and experiments on 298.4 kW and 7.5 kW squirrel-cage induction motors, respectively.
QSPR Models for Prediction of Aqueous Solubility: Exploring the Potency of Randić-type Indices

The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally diverse set of over 1600 compounds with experimentally determined solubility values (AqSolDB database) is used for building the data-driven models based on multiple linear regression (MLR) and artificial neural network (ANN) methods to predict aqueous solubility. Molecular structures are encoded by numerous structural descriptors, including the connectivity index developed by Randić in 1975, and many later derived variations. To evaluate the potency of Randić-like descriptors in the structure-property relationship, we developed models based on two sets of descriptors, first using only Randićlike descriptors calculated with Dragon, and second using 17 commonly applied descriptors available in the AqSolDB database. All models were validated with external prediction sets, with the RMSE ranging from 0.8 to 1.1. Interestingly, the RMSE of predicted LogS values of models based only on the Randić-like descriptors were in average just 0.1 larger than the models with 17 descriptors preselected as suitable for modelling logS.
Efficient Performance Modeling for Automated CMOS Analog Circuit Synthesis

Fast and accurate performance estimation can significantly enhance the efficiency of automated analog circuit synthesis. This article presents a novel performance modeling method that can efficiently estimate circuit performance with ignorable model building overhead for variant circuit topologies. The proposed method starts with accurate transistor modeling by taking advantage of the advanced neural network (NN) fitting technique. It then utilizes the established transistor models and topology information from a circuit netlist to precisely discover the circuit dc operating point. Specialized deterministic schemes have been developed with the aid of an undirected bipartite graph converted from the circuit netlist. Moreover, the accurate NN transistor models help directly derive the small-signal model parameter values, which can be further applied to conduct symbolic analysis to evaluate circuit performances. Our experimental results not only compare various deterministic dc operating point computation schemes but also demonstrate the efficient model development, general applicability, speedy execution, and fair prediction of our proposed performance modeling method.