Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Dynamics Simulation of the Interaction between Common Metal Ions and Humic Acids

Humic acids (HAs) have important environmental and geochemical effects on soil, water environments and sediment. HAs strongly complex some metal ions, which affects the migration of metal ions and the colloidal aggregation of HA. Here, the complexation of Ca2+ and Mg2+ with HA in aqueous solution under neutral conditions has been systematically studied by molecular dynamics (MD) simulation. The results show that the aggregation of HA is caused by the complexation of HA and metal ions, mainly due to the intermolecular bridging between Ca2+, Mg2+ and COO− groups. Monodentate and bidentate coordinations have been found between Ca2+ and COO− groups of different HA molecules in the same simulation system. Mg2+ only has a monodentate coordination with COO− group.
Factors Affecting Innovative Work Behavior: Mediating Role of Knowledge Sharing and Job Crafting

This study aimed to investigate the influence of spiritual leadership on innovative work behavior and the effect of knowledge sharing on job crafting. Furthermore, the roles of knowledge sharing as a mediator for the impact of spiritual leadership on innovative work behavior, and job crafting as a mediator for the relationship between variables, were also examined. This research employed quantitative analysis, including the PLS-SEM approach; SMART-PLS, a measurement and structural equation model was employed to explain the relationship between variables, and the effect of mediation. The population study consisted of all lecturers at the Faculty of Economics and Faculty of Economics and Business at the PTKIN in East Java, Indonesia, comprising 220 randomly-selected samples. The result showed spiritual leadership does not directly influence innovative work behavior, while knowledge sharing directly affects job crafting. The findings indicated knowledge sharing mediates the impact of spiritual leadership on innovative work behavior, and the role of job crafting as a mediator for the relationship between variables was accepted. Therefore, this research confirms a positive influence of knowledge sharing on job crafting, and indicates both factors play an important role in mediating between variables, and are important for lecturers’ innovative work behavior.
Associations between music training and the dynamics of writing music by hand

Learning to write music in the staff notation used in Western classical music is part of a musician’s training. However, writing music by hand is rarely taught formally, and many musicians are not aware of the characteristics of their musical handwriting. As with any symbolic expression, musical handwriting is related to the underlying cognition of the musical structures being depicted. Trained musicians read, think, and play music with high-level structures in mind. It seems natural that they would also write music by hand with these structures in mind. Moreover, improving our understanding of handwriting may help to improve both optical music recognition and music notation and composition interfaces. We investigated associations between music training and experience, and the way people write music by hand. We made video recordings of participants’ hands while they were copying or freely writing music, and analysed the sequence in which they wrote the elements contained in the musical score. The results confirmed experienced musicians wrote faster than beginners, were more likely to write chords from bottom to top, and they tended to write the note heads first, in a flowing fashion, and only afterwards use stems and beams to emphasize grouping, and add expressive markings.
The Comparison of Constant and Dynamic Red and Blue Light Irradiation Effects on Red and Green Leaf Lettuce

In this study, we sought to evaluate and compare the effects of constant and dynamic lighting on red and green leaf lettuce (Lactuca sativa L. Red Cos and Lobjoits Green cos) cultivated in a controlled environment. Plants were illuminated with the combination of red 662 and 638 nm, blue 452 nm, and far-red 737 nm at 16 h photoperiod and constant daily light integral (DLI) of each component. Five constant or dynamic lighting treatments were performed: (BR) constant flux of both B452 and R662; (B*R) constant flux of R662, but the DLI of B452 condensed in 8 h in the middle of photoperiod doubling the PPFD of blue light; (BR*) constant flux of B452, but the DLI of R662 light condensed in the middle of photoperiod; (BdynR) constant flux of R662, but the flux of B452 varies in the sinusoidal profile during 16 h photoperiod, imitating diurnal increase and decrease in lighting intensity; and (BRdyn) constant flux of B452, but the flux of R662 varies in sinusoidal profile. The lettuce’s response to dynamic lighting strategies was cultivar specific. Dynamic lighting strategies, mimicking natural lighting fluctuations, did not have a remarkable effect on photosynthesis and antioxidative parameters, but the dynamic flux of blue light component had a pronounced effect on higher macro and microelement contents in lettuce leaves.
Voces autorizadas en Twitter durante la pandemia de COVID-19: actores, léxico y sentimientos como marco interpretativo para usuarios ordinarios.

This work addresses the communicative role of authorized voices on Twitter during the COVID-19 pandemic and their interaction with ordinary users. They are defined as public profile users who have a big number of followers, and whose messages are massively disseminated on the platform by ordinary users. A set of tweets was collected over two months through the Twitter API, and then a subset of data was formed with the tweets replicated more than 100 times. Labeling, data mining, and sentiment analysis techniques were applied to it. It is observed that the interpretive framework of the pandemic is modeled by the media, although there are perceptions of ordinary users about the pandemic as a time of economic, health, political and personal crisis that are not present in the authorized voices. It is concluded that the media and front-line government officials are the ones that achieved the greatest adherence and amplification of the word by ordinary users, although there is a significant gender gap between the voices of men and those of women.
Education quality detection method based on the probabilistic neural network algorithm

The traditional education quality detection method is too single and unreasonable, which is not suitable to evaluate students' ability comprehensively. In this paper, the probabilistic neural network (PNN) algorithm is used to detect the education quality by considering the important impact between the various achievements of students. PNN algorithm originates from Bayesian decision rule, and it uses the non-linear Gaussian Parzen window as the probability density function. As PNN model has the virtues of strong nonlinear and anti-interfering ability, it is fit to detect the education quality by classifying the students' achievements. Besides, the influences of different evaluation models on classification accuracy and efficiency are also discussed in this paper. Furthermore, the effect of spread value on PNN model is also discussed. Finally, the actual data are used to detect the education quality. Experimental results show that the detection accuracy can reach 95%, and the detection time is only 0.0156s based on the proposed method. That is to say, the method is a very practical detection algorithm with high accuracy and efficiency. Moreover, it also provides a reference for how to further improve the teaching quality.
Rotating Convection Driven by Differential Bottom Heating and Its Application.

Abstract : A laboratory convection experiment was performed as a model of the thermohaline circulation of the oceans with a rotating square container. Differential beating was applied along the bottom of the container using an electrical heater and a constant temperature cooling plate. The focus was given to scaling laws for meridional heat transport and a thermal boundary layer. Comparisons with earlier studies suggest that the heat transport of the experiment was mostly due to the meridional geostrophic flows and minor contribution due to the friction at the bottom. The same applies to the thermal boundary layer. The scaling law from the experiment (geostrophic scaling law) was applied to a two box model to study the stability of thermohaline circulation. The model shows that if the effects of the Earth's rotation are included, it is less likely to have a thermohaline catastrophic transition under the present conditions.
Do psychological and sociological capitals predict employee engagement

Employee engagement is a concept that is capable of predicting various employee outcomes. It could directly influence the success of any organization and its overall financial performance. The present study was undertaken to determine the relationship between Psychological and Social capitals and employee engagement. Data for the study was collected randomly from 395 respondents. Structural equation modeling was used to analyze the collected data. The data was found to be powerfully fitting, with all the indices having values above the thump's identified rules. The results indicated positive relationships between the constructs. The results of the study have multiple theoretical and practical implications.
Feasibility of Left Atrial Appendage Closure in Atrial Fibrillation Patients with a History of Intracranial Bleeding: A Systematic Review of Observational Studies

Background Left atrial appendage occlusion (LAAO) is performed in patients with nonvalvular atrial fibrillation to reduce the risk of ischemic stroke. The patients with a history of intracranial hemorrhage were excluded from the pioneer randomized controlled trials. The purpose of this systemic review was to evaluate the data from observational studies reporting the efficacy and safety of LAAO in patients with a history of intracranial hemorrhage. Methods Ovid MEDLINE, Embase, Cochrane Central Register of Controlled Trials, Web of Science Core Collection, Scopus, Global Index Medicus, and ClinicalTrials.gov data sources were utilized for data collection. Results A total of 12 studies met the inclusion criteria that included seven retrospective observational and five prospective observational studies. A total of seven hundred and twenty-seven patients with a history of intracranial hemorrhage underwent percutaneous left atrial appendage occlusion. There were 11 events of recurrent intracranial hemorrhage, 12 ischemic strokes, 4 transient ischemic attacks, and 26 all-cause deaths. The duration of follow-up varied from 3 months to 3.6 years in the included studies. Conclusion Left atrial appendage occlusion can potentially be an effective and relatively safe treatment option to reduce the risk of ischemic stroke in selected patients with nonvalvular atrial fibrillation patients and history of intracranial hemorrhage. Future prospective randomized trials are needed to validate this approach.
Barreiras à implementação de recomendações para assistência ao parto normal: revisão rápida de evidências

RESUMO Objetivo. Identificar potenciais barreiras à implementação das recomendações das Diretrizes Nacionais de Assistência ao Parto Normal a partir das melhores evidências globais disponíveis. Métodos. Realizou-se uma revisão rápida com consulta a seis bases de dados em março/abril de 2019. Foram selecionados estudos secundários publicados em inglês, espanhol ou português sobre barreiras de qualquer natureza que pudessem ser relacionadas à implementação das recomendações das Diretrizes. Resultados. Foram incluídos 23 documentos (21 revisões sistemáticas e dois guias de prática clínica). As barreiras identificadas foram agrupadas em 52 categorias por semelhança de significado e, em seguida, reorganizadas em nove núcleos temáticos: modelo de atenção ao parto e nascimento, gestão de recursos humanos, crenças e saberes, relações de gênero, gestão de serviços de saúde, atitudes e comportamentos, comunicação, condições socioeconômicas e interesses políticos. Conclusões. Os resultados mostraram que a implementação das Diretrizes pode requerer abordagens combinadas para o enfrentamento de diferentes barreiras. O engajamento de gestores e profissionais de saúde no processo de mudança do modelo de atenção ao parto e nascimento e o envolvimento de usuários são indispensáveis para o sucesso da implementação. São necessárias, ainda, ações intersetoriais para melhorar as condições socioeconômicas de mulheres e famílias e para combater as iniquidades de gênero.
Who says what: members of the European Parliament and irregular migration in the parliamentary debates

ABSTRACT As migration and its securitisation change the political environment in the EU, we examine whether security speech acts (restrictive suggestions) prevail over human security speech acts (a liberal approach) towards irregular migration in the eighth (EU) parliamentary debates and which structural determinants predict delivering one or the other speech act. To achieve this goal, we first conducted a content analysis by which we selected (human) security speech acts; then, a set of binary logistic regressions followed. We explored whether, in the plenary debates, members of the European Parliament propose human security speech acts towards irregular migration rather than security speech acts. Thus, it seems that the attitudes of the members of the European Parliament differ in plenary sessions from the decision-making process. Based on the set of binary logistic regressions, we argue that the left-right division, attitudes toward European integration, and especially the division between the new and old member states are the crucial structural determinants for delivering (human) security speech acts in the plenary speeches.
A Prediction Model of Online Car-Hailing Demand Based on K-means and SVR

The paper proposed a prediction model of online car-hailing demand based on K-means and support vector regression (SVR) methods. In the past few years, online car-hailing market demand has grown rapidly, and prediction of rapid demand growth has become a hot topic. This study takes the initial longitude and latitude of online car-hailing orders as the eigenvalues for K-means clustering. The clustering results are taken as the result of area division. The number and size of potential demand areas could be determined automatically. This method of area division solves the shortcomings of traditional artificial meshing division and existing administrative division methods. The model takes a small-sample data set as the application object and uses the SVR method for data regression. Finally, we conduct an empirical study on Didi’s real data set in the core area of Chengdu City, China. The final experimental results suggest that the area division method based on K-means is reasonable and that the demand prediction model based on K-means and SVR is effective.
Developing Global Relevant Skills in the Fourth Industrial Revolution

This chapter carries out extensive review of literature on the 4th Industrial Revolution. In the last decades, many stakeholders such as industries, governments, employers and employers' organisations, workers and their unions, and academics have expressed divergent opinion of the 4th Industrial Revolution. The 4th industrial revolution is the 4th stage of a mechanical movement process that began towards the end of the 18th century where mechanised production replaced manual production process. Research shows that the 4th Industrial Revolution brought about ‘disruptive technologies' such as artificial intelligence, robotics, blockchain, and 3D printing, which transforms social, economic, and political systems, often in unpredictable ways.
Deciphering the many maps of the Xingu River Basin – an assessment of land cover classifications at multiple scales

ABSTRACT. Remote sensing is an invaluable tool to objectively illustrate the rapid decline in habitat extents worldwide. The many operational Earth Observation platforms provide options for the generation of land cover maps, each with unique characteristics and considerable semantic differences in the definition of classes. As a result, differences in baseline estimates are inevitable. Here we compare forest cover and surface water estimates over four time periods spanning three decades (1989–2018) for ∼1.3 million km2 encompassing the Xingu River Basin, Brazil, from published, freely accessible remotely sensed land cover classifications. While all showed a decrease in forest extent over time, the total deforested area reported by each ranged widely for all time periods. The greatest differences ranged from 9% to 17% (116,958 to 219,778 km2) deforestation of the total area for year 2000 and 2014–2018 time period, respectively. We also show the high sensitivity of forest fragmentation metrics (entropy and foreground area density) to data quality and spatial resolution, with cloud cover and sensor artefacts resulting in errors. Surface water classifications must be chosen carefully because sources differ greatly in location and mapped area of surface water. After operationalization of the Belo Monte dam complex, the large reservoirs are notably absent from several of the classifications illustrating land cover. Freshwater ecosystem health is influenced by the land cover surrounding water bodies (e.g., riparian zones). Understanding differences between the many remotely sensed baselines is fundamentally important to avoid information misuse, and to objectively choose the most appropriate classification for ecological studies, conservation, or policy making. The differences between the classifications examined here are not a failure of the technology, but due to different interpretations of ‘forest cover’ and characteristics of the input data (e.g., spatial resolution). Our findings demonstrate the importance of transparency in the generation of remotely sensed classifications and the need for users to familiarize themselves with the characteristics and limitations of each data set.
Drawbacks of Poor-Quality Ultrasound Images and its Enhancement

Ultrasound waves are widely used in the field of medical sciences for diagnosis, therapeutic, and interventional use. It is commonly used in the areas of cardiology, urology, general abdominal imaging, obstetrics and gynecology, vascular imaging, and as a guide in surgical procedures. The noninvasive, cost-effective, flexible, and radiation-free properties of ultrasonography have made it popular among healthcare professionals. The ultrasound images are generated through pulsed acoustic waves that are transmitted and received by a transducer in the ultrasound machine. However, the quality of an image is affected when ultrasound signals degrade while propagating through biological tissues. The poor image quality affects the interpretation, thereby, delaying the diagnosis and intervention in the patient. The present article discusses the basics of ultrasonography, highlights various artifacts in an ultrasound image, and reviews some methods for the enhancement of ultrasound images.
Study of Neurocognitive Function in Type 2 Diabetes Mellitus Patients Using P300 Event-Related Potential

Background: Diabetes mellitus is the most prevailing metabolic disease. It causes structural and functional alterations in several organs, including the central nervous system. Altered glucose metabolism, atherosclerosis, and inflammation of blood vessels are seen in diabetes. This may lead to neuronal degeneration and decline in cognition. Event-related potential P300 can detect cognitive decline before the emergence of obvious neurological manifestations. Objective: The aim of this study is to assess and compare the P300 latencies in subjects with type 2 diabetes mellitus and in nondiabetic subjects and to determine the influence of type 2 diabetes mellitus on cognitive functions. Materials and Methods: In this study our sample size was 248 subjects, with type 2 diabetes mellitus patients (n = 124) and healthy controls (n = 124) between the age group of 31 and 60 years. This cross-sectional comparative study was conducted at SRM Medical College Hospital and Research Centre. The subjects were evaluated by a structured interview and they were assessed with a general health questionnaire to rule out any subpsychiatric illness. Fasting and postprandial blood glucose, HbA1c level, lipid profile, and creatinine were estimated. P300 amplitude and peak latencies were recorded using the standard auditory oddball paradigm. Results: The latencies of P300 were significantly increased and the amplitude of P300 was significantly reduced in the diabetic group when compared to the control group (P < .001). P300 latency has a positive correlation with the HbA1c levels (r = 0.136) and the duration of diabetes (r = 0.231). Conclusion: Prolongation of P300 latencies and the decreased amplitude in diabetic subjects may suggest the existence of a cognitive decline in individuals with type 2 diabetes compared to healthy individuals.
In a relationship, who tends to sext first?

Abstract Current research into sexting behaviours primarily focuses on adolescent and university student populations. Yet, recent research shows it is normative for adults older than typical college age students to sext as well. While previous studies have shown that men tend to initiate sexual behaviours with their partners, there is a paucity of research about who tends to initiate sexting behaviour first in a relationship. The current study aims to fill this gap in the literature. A logistic regression model was tested on a sample of 464 individuals who sext their relationship partners. Results indicated that discordance about sexual behaviour, age, and partner objectification predicted who sexted first. Of note was that gender was not a significant predictor, indicating that more traditional sexual initiation scripts may not apply to sexting behaviour for adults who are in a relationship.
Beamline and Flight Comparisons of the ARMAS Flight Module With the Tissue Equivalent Proportional Counter for Improving Atmospheric Radiation Monitoring Accuracy

Ionizing radiation at aircraft and commercial suborbital spaceflight altitudes is driven by space weather and is a health concern for crew and passengers. We compare the response functions of two radiation detectors that were exposed to four different ground‐based laboratory radiation fields as well as flown alongside each other on aircraft. The detectors were a tissue equivalent proportional counter (TEPC) and a Teledyne silicon micro dosimeter chip that was integrated into an Automated Radiation Measurements for Aerospace Safety Flight Module (ARMAS FM). Both detectors were flown onboard commercial and research aircraft. In addition, both detectors were exposed neutrons at the Los Alamos Neutron Science Center, protons at Loma Linda University Medical Center, 56Fe particles at the NASA Space Radiation Laboratory, and also a gamma radiation source at Lawrence Livermore National Laboratory. The response of each of these instruments as well as derived dosimetric quantities are compared for each radiation exposure and the ratio for converting ARMAS absorbed dose in silicon to an estimated absorbed dose in tissue is obtained. This process resulted in the first definitive calibration of the silicon‐based detector like ARMAS to TEPC. In particular, with seven flights of both instruments together, the ARMAS‐derived dose in tissue was then validated with the TEPC‐measured dose in tissue and these results are reported. This work provides a method for significantly improving the accuracy of radiation measurements relevant to human tissue safety using a silicon detector that is easy to deploy and can report data in real time.