Miracle-dz/UniFAR-FTUs huggingface dataset:
Tailoring porosities and electrochemical properties of composites composed of microfibrillated cellulose and polypyrrole

Composites of polypyrrole and nanocellulose (PPy/nanocellulose) have a high potential as electrodes in energy-storage devices and as membranes for electrochemically controlled ion-exchange systems. In the present work, it is demonstrated that such composites with 42–72% porosity can be produced by using microfibrillated cellulose (MFC) prepared through enzymatic pretreatment or carboxymethylation, or by using different amounts of MFC in the composite synthesis. Together with previous work, this shows that the porosity of PPy/nanocellulose composites can be tailored from 30 to 98% with increments of ∼10%. Employing the full porosity range of the composites, it is demonstrated that the electrochemical oxidation rate of the materials depends on their porosity due to limitations in the counter ion diffusion process. By tailoring the porosities of PPy/nanocellulose composites, the electrochemical properties can consequently be controlled. The latter provides new possibilities for the manufacturing of electrochemically controlled ion-extraction and energy storage devices with optimized volumetric energy and power densities.
Concentration profiles of surface atoms during epitaxial growth on vicinal surfaces

Concentration profiles of surface atoms have been obtained from Monte Carlo simulations of epitaxial growth and compared with predictions based upon the original Burton–Cabrera–Frank (BCF) theory and with a modified BCF theory. The modification is a BCF‐type equation for a quantity that involves the concentrations of surface atoms in each of the possible environments and accounts for the fact that all atoms, not simply free adatoms, can participate in surface diffusion. Even at temperatures beyond those where growth becomes dominated by step advancement, the modified BCF equation provides a more accurate description of the adatom concentration profiles than that obtained using only the free adatom concentration, which is the central quantity in the original BCF theory. This is due to step detachment processes combined with the meandering of the steps, which leads to an effective source of free adatoms that is not taken into account in the original BCF approach.
The Cellular Senescence Stress Response in Post-Mitotic Brain Cells: Cell Survival at the Expense of Tissue Degeneration

In 1960, Rita Levi-Montalcini and Barbara Booker made an observation that transformed neuroscience: as neurons mature, they become apoptosis resistant. The following year Leonard Hayflick and Paul Moorhead described a stable replicative arrest of cells in vitro, termed “senescence”. For nearly 60 years, the cell biology fields of neuroscience and senescence ran in parallel, each separately defining phenotypes and uncovering molecular mediators to explain the 1960s observations of their founding mothers and fathers, respectively. During this time neuroscientists have consistently observed the remarkable ability of neurons to survive. Despite residing in environments of chronic inflammation and degeneration, as occurs in numerous neurodegenerative diseases, often times the neurons with highest levels of pathology resist death. Similarly, cellular senescence (hereon referred to simply as “senescence”) now is recognized as a complex stress response that culminates with a change in cell fate. Instead of reacting to cellular/DNA damage by proliferation or apoptosis, senescent cells survive in a stable cell cycle arrest. Senescent cells simultaneously contribute to chronic tissue degeneration by secreting deleterious molecules that negatively impact surrounding cells. These fields have finally collided. Neuroscientists have begun applying concepts of senescence to the brain, including post-mitotic cells. This initially presented conceptual challenges to senescence cell biologists. Nonetheless, efforts to understand senescence in the context of brain aging and neurodegenerative disease and injury emerged and are advancing the field. The present review uses pre-defined criteria to evaluate evidence for post-mitotic brain cell senescence. A closer interaction between neuro and senescent cell biologists has potential to advance both disciplines and explain fundamental questions that have plagued their fields for decades.
Prediction of thermal conductivity of aqueous solution at high pressures by using artificial neural network

The objective of this study is to predict thermal conductivity of aqueous solution with artificial neural network (ANN) model with three inputs (pressure, temperature and concentration). A feed forward artificial neural network with three neurons in its hidden layer is recommended to predict thermal conductivity and the accuracy of this method evaluated by regression analysis between the predicted and experimental value and it shows desired result.
Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media

Billions of photos are uploaded to the Web daily through various types of social networks. Some of these images receive millions of views and become popular, whereas others remain completely unnoticed. This raises the problem of predicting image popularity on social media. The popularity of an image can be affected by several factors, such as visual content, aesthetic quality, user, post metadata, and time. Thus, considering all these factors is essential for accurately predicting image popularity. In addition, the efficiency of the predictive model also plays a crucial role. In this study, motivated by multimodal learning, which uses information from various modalities, and the current success of convolutional neural networks (CNNs) in various fields, we propose a deep learning model, called visual-social CNN (VSCNN), which predicts the popularity of a posted image by incorporating various types of visual and social features into a unified network model. VSCNN first learns to extract high-level representations from the input visual and social features by utilizing two individual CNNs. The outputs of these two networks are then fused into a joint network to estimate the popularity score in the output layer. We assess the performance of the proposed method by conducting extensive experiments on a data set of approximately 432K images posted on Flickr. The simulation results demonstrate that the proposed VSCNN model significantly outperforms state-of-the-art models, with a relative improvement of greater than 2.33%, 7.59%, and 14.16% in terms of Spearman’s Rho, mean absolute error, and mean-squared error, respectively.
Surface Enthalpies of Nanophase ZnO with Different Morphologies

A direct calorimetric measurement of the dependence of the surface enthalpy of nanophase ZnO on morphology is reported. Nanoparticles, nanoporous composites, nanorods, and nanotetrapods were prepared with various sizes, and their surface enthalpies were derived from their drop solution enthalpies in molten sodium molybdate. Water adsorption calorimetry for nanoparticles and nanorods was carried out to characterize the stabilization effect of surface hydration. The surface enthalpies of hydrated surfaces for nanoparticles, nanoporous composites, nanorods, and nanotetrapods are 1.31 ± 0.07, 1.42 ± 0.21, 5.19 ± 0.56, and 5.77 ± 2.50 J/m2, respectively, whereas those of the anhydrous surfaces are 2.55 ± 0.23, 2.74 ± 0.16, 6.67 ± 0.56, and 7.28 ± 2.50 J/m2, respectively. The surface enthalpies of nanoparticles are the same as those of nanoporous composites and are much lower than those of nanorods and nanotetrapods, which also are close to each other. The dependence of surface enthalpy on morphology is discuss.
Effects of leaf shape plasticity on leaf surface temperature

Aims The shape plasticity of plant leaves is an important survival strategy to high temperature and drought in arid region, yet reliable evidences are insufficient to validate the fundamental concepts. Our objective was to demonstrate the specific effects of leaf morphology on leaf surface temperature. Methods Infrared thermal images were processed to determine the leaf temperature and shape parameters of simulated and actual leaf shape. Microclimatic conditions were recorded using a automatic weather station near the sampling plot, including wind speed, radiation and air temperature. Under the drought and high temperature, the plasticity of leaf shape appeared an important measure to regulate leaf temperature, except leaf transpiration. The exchange rates of matter and energy between leaves and the environment were enhanced by smaller leaves that effectively decreased leaf temperature. With low wind speed and high temperature, leaf surface temperature decreased 2.1 °C per 1 cm reduction in leaf width. However, leaf surface temperature of a simulated leaf decreased 0.60–0.86 °C per 1 cm reduction in leaf width. Results from this study will help us to understand plant adaptability and survival strategy in arid region.
Anti-inflammatory and anti-allergic activity of the methanolic extract from Annona sylvatica (Annonaceae)

Annona sylvatica (Annonaceae) is a common medicinal plant used in folk medicine for fever and cough; it is found in several Brazilian states, including Mato Grosso do Sul. The local population uses A. sylvatica leaves for treating fever and cough; however, how this medicinal plant affects the patients is little understood. We evaluated the anti-inflammatory and anti-allergic properties of a methanolic extract of A. sylvatica (MEAS) leaves in mouse models of inflammation and allergy. The study employed male C57bL/6 mice for allergy models and male Swiss mice for the inflammation study. Oral treatments with MEAS (30 to 150 mg/kg) significantly inhibited the carrageenan-induced leukocyte migration and protein extravasation to the cavity in an air pouch model. In the allergic animal models, oral treatment with MEAS (150 mg/kg) significantly reduced histamineand ovalbumin (OVA)-
A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

In this article, a novel torque boundary-based model predictive torque control (MPTC) is proposed to improve the torque and flux performance in permanent magnet synchronous motor (PMSM) drives by straightforwardly reducing the corresponding ripples. For this purpose, an optimal sequential list of two voltage vectors is considered as candidate input and the time durations of the two vectors to be applied are determined based on a predefined torque ripple tolerance band. Considering the torque outcomes both at the switching instant and at the end of the control period, the torque can be limited within the upper and lower boundaries of the preset tolerance band during the whole control period. Meanwhile, by monitoring the number of defined valid vector sequences, the torque boundaries can be optimized online. As a result, the torque ripple can be restrained to a fairly small range, and the torque boundary design work is avoided. In addition, according to the predicted torque outcomes of the candidate inputs, a group of vector sequences can be excluded from the control set before optimization, reducing the computation cost. Moreover, due to the preset torque ripple tolerance, the weighting factor in the cost function is eliminated, thereby avoiding the corresponding tuning work. Experimental results are presented to reveal the effectiveness of the proposed strategy.
The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies

For patients with hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM), screening for pathogenic variants has become standard clinical practice. Genetic cascade screening also allows the identification of relatives that carry the same mutation as the proband, but disease onset and severity in mutation carriers often remains uncertain. Early detection of disease onset may allow timely treatment before irreversible changes are present. Although plasma biomarkers may aid in the prediction of disease onset, monitoring relies predominantly on identifying early clinical symptoms, on imaging techniques like echocardiography (Echo) and cardiac magnetic resonance imaging (CMR), and on (ambulatory) electrocardiography (electrocardiograms (ECGs)). In contrast to most other cardiac diseases, which are explained by a combination of risk factors and comorbidities, genetic cardiomyopathies have a clear primary genetically defined cardiac background. Cardiomyopathy cohorts could therefore have excellent value in biomarker studies and in distinguishing biomarkers related to the primary cardiac disease from those related to extracardiac, secondary organ dysfunction. Despite this advantage, biomarker investigations in cardiomyopathies are still limited, most likely due to the limited number of carriers in the past. Here, we discuss not only the potential use of established plasma biomarkers, including natriuretic peptides and troponins, but also the use of novel biomarkers, such as cardiac autoantibodies in genetic cardiomyopathy, and discuss how we can gauge biomarker studies in cardiomyopathy cohorts for heart failure at large.
Pengaruh Job Satisfaction, Pay Satisfaction dan Organizational Commitment terhadap Turnover Intention Pada Karyawan Consumer Marketing PT. Bank Tabungan Negara Cabang Bekasi (Persero) Tbk

Penelitian ini bertujuan untuk mengetahui pengaruh peran Job Satisfaction, Pay Satisfaction, dan Organizational Commitment terhadap Turnover Intention pada karyawan consumer marketing PT. Bank Tabungan Negara (Persero) Tbk. cabang Bekasi pada tahun 2016. Populasi dalam penelitian ini adalah karyawan tetap yang menjabat sebgai consumer marketing pada unit branch consumer lending unit (BCLU). Peneliti melakukan survei dan responden diambil dari karyawan tetap consumer marketing untuk 84 responden. Teknik pengumpulan data yang digunakan dalam penelitian ini dengan cara menggunakan metode kuesioner untuk mengumpulkan informasi dari responden. Data dianalisis dengan menggunakan Patial Least Square (PLS) dengan perangkat lunak SmartPLS 3.0 Hasil kesimpulan penelitian ini adalah sebagai berikut : 1) Job Satisfaction terbukti berpengaruh signifikan terhadap Turnover Intention. 2) Pay Satisfaction terbukti berpengaruh signifikan terhadap Turnover Intention. 3) Organizational Commitment terbukti berpengaruh signifikan terhadap Turnover Intention. 4) Pay Satisfaction terbukti berpengaruh signifikan terhadap Organizational Commitment. Kata kunci : Job Satisfaction, Pay Satisfaction, Organizational Commitment, Turnover Intention.
Eliminating Perceived Stigma and Burnout among Nurses Treating HIV/AIDS Patients Implementing Integrated Intervention

Stigma is essentially one of the most important barriers to public action, disease disclosure and treatment adherence, worse even it gets exacerbated when those who provide treatment hold stigmatizing attitudes or at the receiving end of stigma. Stigma is of global concern and it requires an intensive integrated approach across all levels to eliminate it from healthcare settings for the betterment of patients and nurses. Objective: The present study intended to explore whether there were significant association between Perceived Stigma and Burnout Syndrome among nurses treating cancer patients and nurses treating HIV/AIDS patients and the extent to which the Integrated Intervention facilitates eliminating Perceived Stigma and Burnout. Methods: Around 120 nurses treating HIV/AIDS patients were selected from a sample of 240 nurses working in government hospitals in Chennai. Later, the Nurses were classified into two groups – as Experimental Group (N=30) and Control Group (N=30) treating HIV/AIDS patients in Government Hospitals. Their level of Perceived Stigma was measured using the HASI-N developed by Uys and others and burnout level was assessed using questionnaire developed by Maslach. The comprehensive Integrated Intervention covering cognitive restructuring, Jacobson’s Progressive Muscle Relaxation, yoga and mindfulness meditation, etc was administered exclusively to the Experimental Group of Nurses for the duration of three months. The required data on Perceived Stigma and Burnout levels were measure at three phases of time period – pre and post period of the administration of Integrated Intervention. Results: In this study, these two categories of nurses were tested at three points of time (pre-test, post-test and follow-up). The within-subjects factor was the three phases of testing (pre-test, post-test, and follow-up) of the variables under investigation or time and the between-subjects factor was the two Category of nurses. Therefore, a mixed model factorial ANOVA was used to analyse differences over time and between the two categories of nurses Conclusions: There were significant differences among nurses treating HIV/AIDS patients with regard to stigma and burnout.
GESTÃO POR COMPETÊNCIA MONITORANDO O DESEMPENHO DOS COLABORADORES DA FRÍSIA COOPERATIVA AGROINDUSTRIAL/ COMPETENCY MANAGEMENT MONITORING THE PERFORMANCE OF COLLABORATORS OF FRISIA AGROINDUSTRIAL COOPERATIVE

This article aims to describe the association of management by competence with performance management in the organization, inserted in the strategic context of human resources management. The implementation of the process is analyzed, indicating the importance of the evaluation system to result in a subsidy for the implementation of a Corporate Education program, which works to train people with a focus on reducing skills gaps in order to achieve organizational objectives through the monitoring of indicators, extracted through process mapping. A qualitative case study was carried out regarding the implementation of Management by competence in Frisia Agroindustrial Cooperative, organization of the production branch, with diversified industrial activities. One of the researchers was responsible for the implementation, allowing wide access to the data, which were analyzed and from the categories defined in the construction of the theoretical reference. The work contributes to the competency management research by describing a specific and appropriate methodological process to mapping human, business and technical competencies, evaluating the performance of its employees, so that business results are largely satisfactory in relation to goals and objectives sought by the managers, improving the
Selective sequential dissolution techniques for trace metals in arid‐zone soils: The carbonate dissolution step

Abstract Dissolution capacity and kinetics of carbonates by sodium acetate (NaOAc)‐acetic acid (HOAc) at various pHs were studied. A comparative study of the selectivity, specificity, and effectivity of NaOAc‐HOAc solution on carbonate bound fraction during the sequential selective dissolution procedure was conducted by comparing the dissolution of major and trace elements from arid zone soils by this buffer solution at various pHs. The effect of the pH of NaOAc‐HOAc solution on the following fractions in the sequential selective dissolution procedure was also studied. NaOAc‐HOAc solution at pH 5.5 at a soil to solution ratio of 1:25, can dissolve all the carbonate from calcareous soils with 10–20% of carbonate; at pH 5.0 it can dissolve all the carbonate in soils with about 30–50% calcium carbonate (CaCO3). A second extraction with fresh buffer solution at pH 5.0 is required for soils with more than 50% of carbonate. Six hours of extraction time is generally sufficient for complete carbonate dissolution.
Optimization of Self-Effication Based on the Christian Faith Community of SMA N 1 Amurang Students

The church is a Christian faith community whose duty is to educate, teach and train church members. Self-efficacy includes the confidence that an individual has in his or her abilities, and a person's evaluation of his or her ability and competence to perform a task to achieve certain results. Self-efficacy refers to a person's level of confidence or self-confidence in his abilities, which indirectly motivates himself to take the necessary actions to achieve a certain thing. Self-efficacy is also able to influence several aspects of one's cognition and behavior, given the different behavior of an individual with another. Training is an effective method for shaping character and optimizing the self-efficacy of students. The self-efficacy process in the school environment is formed through the school community which is named Pelsis (Student Service), and should be a means of holding various activities that explore the potentialof students. However, the development activities of students in the Pelsis community at SMAN 1 Amurang currently are only in the form of conventional worship or fellowship. The faith community which is the goal of religious education today includes three important things, namely normative ideals, reflection and support, as well as group discussions. Things like this will help students in developing their self-efficacy.
VALIDATION OF A NOVEL VIRTUAL REALITY PLATFORM FOR INVESTIGATING PEDESTRIAN-PEDESTRIAN INTERACTION IN THE CONTEXT OF STRUCTURAL VIBRATION SERVICE ABILITY

Pedestrian-pedestrian interaction (PPI) is one of the fundamental mechanisms purported to influence the amplitudes of structural response under the action of a walking crowd. This is because a pedestrian is likely to alter their gait due to the presence of other pedestrians, which in turns alters the magnitude of structural loading. However, little empirical data are currently available to assess the effect of PPI in the context of vibration serviceability. This is mainly due to logistical challenges in assembling and instrumenting a crowd of walking pedestrians, and the associated cost. To this end, a novel virtual reality platform is developed for experimental investigation of pedestrian-pedestrian interaction. In comparison to real-world crowd testing, the platform enables experimental protocols to be implemented repeatedly in a highly controlled environment while collecting a rich set of data on pedestrian behaviour. The platform incorporates state-of-the-art technology for motion capture, artificial intelligence and three-dimensional computer modelling, and comprises of three core modules: (i) the environment, (ii) the crowd and (iii) the user interface enabling real walking behaviour. To assess the validity of the platform for investigating PPI, tests were conducted to quantify gait synchronisation between a pair of walking pedestrians. The pair of pedestrians consisted of either two real humans or a real human and an avatar generated within a fully immersive VR environment. The test subject was either not explicitly asked to or specifically asked to synchronise their gait while walking side-by-side or front-to-back. It was found that walking with an avatar yields qualitatively the same results as walking with a real person, whether that is with or without the instruction to synchronise gait. However, the results differ quantitatively in terms of the synchronisation strength and the directionality. 1777 EURODYN 2020 XI International Conference on Structural Dynamics M. Papadrakakis, M. Fragiadakis, C. Papadimitriou (eds.) Athens, Greece, 23–26 November 2020 Available online at www.easdprocedia. org EASD Procedia EURODYN (2020) 1777-1790 ISSN:2311-9020 © 2020 The Authors. Published by EASD Procedia. Peer-review under responsibility of the Organizing Committee of EURODYN 2020. doi: 10.47964/1120.9143. 19028 Artur A. Soczawa-Stronczyk, Mateusz Bocian