Miracle-dz/UniFAR-FTUs huggingface dataset:
Stability of surface atomic structures of ionic crystals studied by atomic force microscopy observation of various faces of CaSO4 crystal in solutions

Dissolution processes on three low index faces of anhydrite (CaSO4) crystal in water were monitored in situ with atomic force microscopy. Well‐controlled layer‐by‐layer dissolution was observed on the most stable (010) surface, where rectangular pits with monolayer depth grew in the directions of the crystal axes until they met each other forming an atom‐flat surface. The shape of the pits suggests that the dissolution proceeds row by row, by formation of vacancies at the step edge followed by rapid removal of kink ions. Speeds of the step retreat decreased markedly when sulfate and calcium ions were added to water. The steps got saturated at different concentrations. Stabilities of the steps are discussed in relation to the ionic arrangement. On a highly directional (100) face, marked anisotropy was observed in step stabilities. In addition to the numbers of ionic bonds and charge neutrality as a whole, local polarity greatly affects the stabilities of the step structures. The speeds of the step retreat vary by five orders of magnitude depending on the structures, but they all approach zero toward the bulk saturation concentration of CaSO4 in water.
Phenotypic plasticity of eddoe and dasheen taro genotypes in response to saturated water and dryland cultivations

Hidayatullah CSR, Santosa E, Sopandie D, Hartono A. 2020. Phenotypic plasticity of eddoe and dasheen taro genotypes in response to saturated water and dryland cultivations. Biodiversitas 21: 4550-4557. The phenotypic plasticity of dasheen and eddoe taro genotypes was evaluated based on growth and yield characters to select proper genotypes in response to climate change. The study was conducted at the Leuwikopo Experimental Farm, Bogor, Indonesia from May to October 2019. Dasheen (Talas Sutra and Talas Bentul) and eddoe genotypes (S28 and S19) were planted in saturated water cultivation (SWC) and dryland cultivation (DC). DC relied on rainwater, and SWC was manipulated dryland by flooding. SWC promoted vigorous growth and tuber weight, irrespective of genotypes. Increasing taro biomass production in SWC was supported by higher photosynthetic rate, leaf number, and size. Dasheen genotypes produced higher tuber weight than the eddoe in SWC, conversely, the eddoe tended to produced heavier tuber than the dasheen in DC; indicating phenotypic plasticity is strongly affected by soil moisture and genotype. The dasheen had more plastic growth and yield characters to soil moisture than the eddoe genotypes, with plasticity level, ranging from low to very high. Taro had high resiliency to multiple abiotic stresses, e.g. flood, and drought. Considering the marketable value of the yield, dasheen and eddoe genotypes are recommended in flooding and drought-prone areas, respectively.
Only Gamble in Town: Stock Market Gambling Around the World and Market Efficiency

This paper examines how gambling-motivated trading affects aggregate financial market outcomes. Using a unique global gambling data set covering 39 countries, we show that the dollar volume of stock market gambling is at least 3.5 times the combined volume of “traditional” gambling outlets such as casinos and lotteries. The two forms of gambling are positively related as they have common drivers, including wealth, culture, and economic environment. Restrictions on traditional forms of gambling generate spillover effects into stock markets. Exploiting casino regulation as an instrument, we find that stock market gambling increases liquidity and consequently improves the informational efficiency of prices.
A Dynamic Multilayer Winding Thermal Model for Electrical Machines With Concentrated Windings

This paper presents a dynamic multilayer winding lumped-parameter thermal model dedicated to electrical machines with concentrated windings. The winding is layered into a series of circular rings by a novel layer strategy according to the winding temperature distribution obtained by a two-dimensional analytical slot winding thermal model. Accordingly, the layer number can be automatically and dynamically adjusted so as to accurately model the winding temperature distribution using the smallest layer number. Besides, the end-winding is also layered similarly to the slot-winding based on the thermal behavior of the nonoverlapping concentrated windings. The proposed winding model could accurately calculate the temperature distribution within the slot, including the winding maximum and average temperature. Experiments on a winding motorette and a water-cooled permanent magnet machines with concentrated winding intended for electric vehicles have been implemented to validate the proposed winding thermal model.
The effect of online mathematics learning on junior high school mathematic resilience during covid-19 pandemic

Covid-19 Pandemic has changed all sectors, one of which is the system in education. Teachers and students are required to learn from home through online learning, it affects the mathematical resilience of students. This research is motivated by the number of findings of decreased student resilience in learning mathematics. The purpose of this study is to examine: (1) Steps of online learning by teachers (2) Mathematical resilience of students during online learning (3) students responses for online learning. The method in this research is descriptive qualitative, the sample selected as many as 4 teachers and 6 students with high, medium and low abilities in one junior high school in Cimahi. Data collection techniques used questionnaires for students to study students ‘mathematical resilience during online learning, interviews to examine students’ responses to online learning, and interviews and observations with teachers to analyze the steps of online learning that were carried out. The results of the study show: 1) The online learning process begins with handouts through Google Classroom, followed by an explanation of the material using a zoom meeting and assignments through the Google Classroom (2) Student resilience of mathematics is high during online learning. (3) students give positive responses for online learning.
Birds of prey (Accipitriformes and Falconiformes) of Serra de Itabaiana National Park, Northeastern Brazil

Birds of prey are important for maintaining ecosystems, since they can regulate the populations of vertebrates and invertebrates. However, anthropic activities, like habitat fragmentation, have been decreasing the number of birds of prey, affecting the habitat ecological relations and, decreasing biodiversity. Our objective was to evaluate species of birds of prey (Accipitriformes and Falconiformes) in a protected area of the Atlantic forest in northeastern Brazil. The area was sampled for 17 months using fixed points and walking along a pre-existing trail. Birds of prey were classified by their Punctual Abundance Index, threat status and forest dependence. Sixteen birds of prey were recorded, being the most common Rupornis magnirostris and Caracara plancus. Most species were considered rare in the area and not dependent of forest vegetation. None of the registered species were threatened with extinction. Our results showed that the studied area presents a considerable diversity of birds of prey, including species sensitive to environmental changes. Thus, it is important to protect this area to increase the availability of feeding and nesting areas for birds of prey.
Non-Isothermal Crystallization of High-Impact Polystyrene/Poly(Phenylene Sulfide) Blends

The morphology of isothermally crystallized poly(phenylene sulfide) (PPS) and a blend combining it with high-impact polystyrene (HIPS) were observed through a polarized optical microscope equipped with a CSS450 hot-stage. The crystalline superstructure of PPS is mainly spherulite, and it was found that the presence of HIPS has little influence on the morphology of PPS, but decreases the nucleation rate of PPS. The effect of HIPS on the non-isothermal crystallization of PPS was investigated by differential scanning calorimetry (DSC). The maximum and onset crystallization temperatures for the HIPS/PPS blend were about 10°C lower than those of neat PPS, which indicates that the crystallization of PPS was retarded by HIPS. The Ozawa model was used to analyze the non-isothermal crystallization kinetics of PPS and its blends. The Avrami exponent values of neat PPS were higher than those of its blend, which shows that the presence of HIPS changed both the nucleation rate and the crystallization rate of PPS.
Assessment of Tooth Shade After De-and Re-Hydration During Clinical Restorative Procedures: A Randomized Clinical Trial

Objectives: this study was aimed to assess any tooth color change resulting from dehydration due to rubber dam application and the required time for any change to recover to baseline. Materials and methods: Ten Participants with intact maxillary central incisors were recruited. with age ranging from 20 to 55 years according to inclusion and exclusion criteria. Patients were randomized. The spectrophotometer was used for evaluating tooth shade at A baseline, 10 min and 30 min. Further measurements were done at,40 min and 60 min during rehydration. Data was collected. For statistical analysis, ANOVA was used at the significance level P ≤ 0.05. Results: Color change (ΔE): there was a statistically significant change in mean (ΔE) values (P-value <0.001, Effect size = 0.602). Pair-wise comparisons revealed that there was no statistically significant change in mean (ΔE) values from 10 to 30 minutes. From 30 to 40 minutes, there was a statistically significant decrease in mean (ΔE) value followed by non-statistically significant change from 40 to 60 minutes (A statistically significant decrease after rehydration). Conclusions: There is an obvious change in teeth shade upon dehydration as clinically assessed by spectrophotometer. It is recommended by the clinicians to wait more than 60 min in order to properly assess color match, or to carry out the shade matching procedure on another dental visit. Dental shade matching procedures should be performed before the teeth exposure to dehydration to avoid shades mismatch that may not be satisfactory and would require modification or even remake of restorations.
Prediction for the spread of COVID-19 in India using Machine Learning Methods

: Nowadays, there is a very adverse impact on economic, cultural, social and almost all fields in the world because of Covid-19. The Covid-19 term is described as -'CO' for corona, 'VI' for virus, and 'D' for disease. It is an infectious disease caused by severe acute respiratory syndrome which is transmitted through respiratory droplets and contact routes. Since December 2019, corona-virus disease (COVID-19) has out-broke from the country China. The spread of COVID-19 in the whole world has put humanity at risk. The resources of some of the largest economies are stressed out due to the large infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, some prediction methods would be required to predict the number of cases in future. In this paper, we have used data-driven estimation methods like Random Forest-regression, XGBoost, LightGBM and prophet for prediction of the number of COVID-19 cases in India: 15 days ahead and also compares India with the worldwide data and the effect of preventive measures like social isolation and lockdown and the number of tests being conducted on the spread of COVID-19. The prediction of various parameters (total number of cases, number of positive cases etc.) obtained by the proposed method is accurate within a certain range and will be a beneficial tool for administrators and health officials
REVIEW OF SOME PARAMETERS RELATED TO THE BASE-CUTTER OF SUGARCANE HARVESTERS

MJAE, October 2020 325 REVIEW OF SOME PARAMETERS RELATED TO THE BASE-CUTTER OF SUGARCANE HARVESTERS Abdallah M. Zein El-den, Saad F. Ahmed, Waleed M. Hanafy, Abdallah E. Elwakeel 1 Prof., of Ag. Eng., Fac. of Ag. , Alexandria U. , Alexandria, Alshatby, Egypt. 2 Assist. Prof., of Ag. Eng., Fac. of Ag. , Aswan U. , Aswan, Egypt. 3 Assist. Lect. , of Ag. Eng., Fac. of Ag. , Aswan U. Aswan, Egypt. * abdallah_elshawadfy@agr.aswu. edu.eg
Volatile Composition and Outgassing in C/2018 Y1 (Iwamoto): Extending Limits for High-resolution Infrared Cometary Spectroscopy between 2.8 and 5.0 μm

We used the powerful high spectral resolution cross-dispersed facility spectrograph, iSHELL, at the NASA Infrared Telescope Facility (IRTF) to observe C/2018 Y1 (Iwamoto), a long-period comet from the Oort cloud. We report production rates for water and eight other parent molecules (native ices), C2H6, CO, CH4, H2CO, CH3OH, HCN, NH3, and C2H2, on three preperihelion UT dates, 2019 January 13 and (near perihelion) February 4–5. We present abundance ratios relative to both C2H6 (a nonpolar molecule) and H2O (a polar molecule), thereby providing a more complete picture of the parent volatile composition of C/2018 Y1 and potential associations of ices in its nucleus. Overall, the measured spatial distributions for polar molecules (in particular, H2O and CH3OH) were broader, exhibiting more complex structure compared with nonpolar or weakly polar species (CH4, C2H6, and CO). Our January 13 results permitted quantitatively assessing the significant improvement in sensitivity delivered by iSHELL compared with previous capabilities at the IRTF. The efficient spectral coverage of iSHELL plus the favorable geocentric Doppler shift of C/2018 Y1 allowed for measuring >50% of CH4 ν 3-band emission intensity on both January 13 and February 5. Compositionally, compared to their respective mean abundances among comets from the Oort cloud, C2H6 and CH3OH were enriched, CH4 and HCN were near normal, and all other species were depleted. The abundance ratio CH3OH/C2H6 was higher by 45% ± 8% on January 13 versus February 5, whereas CH4/C2H6 was unchanged within the uncertainty, suggesting nonhomogeneous composition among regions of the nucleus dominating activity on these dates.
Enhanced Emission from Photoactivated Silver Clusters Coupled with Localized Surface Plasmon Resonance

We report the effect of local surface plasmon resonance (LSPR) of Ag nanoparticles on the emission properties of photoactivated Ag clusters. The prepared Ag nanoparticles showed strong surface enhanced Raman scattering (SERS) upon green laser excitation (514.5 nm), which indicates the appearance of an effective field enhancement. Along with the strong SERS, selective emission from the photoactivated Ag cluster was also observed only for the emissive Ag cluster that was resonant with the LSPR. The coupling with the LSPR also demonstrated the ability to observe the emission from only a single emissive site, even if several nonresonant emissive clusters are present in close proximity.
Effect of Rice Plant Growth on Denitrification in Rhizosphere Soil

Abstract The effect of rice plant growth on the loss of basal nitrogen (N) through denitrification in the rhizosphere of subsurface soil was investigated by the 15N balance method. Labeled 15N was applied to the deep soil layer to distinguish between the N losses in the surface and subsurface soils. Denitrification in pots with whole plants (Control) was compared with that in pots with plants cut off at the base of the culm (Pcut) to evaluate the effect of plant growth on denitrification. The upward movement of the applied 15N from the deep soil was negligible. Thus, the amount of unrecovered 15N was equal to the amount of N lost through denitrification in the rhizosphere of the subsurface soil (20–150 mm soil depth). In the Control treatment, values of redox potential at 50 and 90 mm soil depths were negative throughout the experimental period. Therefore, it was assumed that the redox potential could not have been the limiting factor for the N loss through denitrification in this experiment. The α-naphth.
Relation Extraction using Language Model Based on Knowledge Graph

Relation extraction is an important task in natural language processing (NLP). The existing methods generally pay more attention on extracting textual semantic information from text, but ignore the relation contextual information from existed relations in datasets, which is very important for the performance of relation extraction task. In this paper, we represent each individual entity as a embedding based on entities and relations knowledge graph, which encodes the relation contextual information between the given entity pairs and relations. Besides, inspired by the impressive performance of language models recently, we used the language model to leverage word semantic information, in which word semantic information can be better captured than word embedding. The experimental results on SemEval2010 Task 8 dataset showed that the F1-score of our proposed method improved nearly 3% compared with the previous methods.
A Model for the Thermal Behaviour of an Offshore Cable Installed in a J-Tube

In the race for energy production, supplier companies are concerned by the thermal rating of offshore cables installed in a J-tube, not covered by IEC 60287 standards, and are now looking for solutions to optimize this type of system. This paper presents a numerical model capable of calculating temperature fields of a power transmission cable installed in a J-tube, based on the lumped element method. This model is validated against the existing literature. A sensitivity analysis performed using Sobol indices is then presented in order to understand the impact of the different parameters involved in the heating of the cable. This analysis provides an understanding of the thermal phenomena in the J-tube and paves the way for potential technical and economic solutions to increase the ampacity of offshore cables installed in a J-tube.
Electrocardiographic Evaluation of Cardiac Rhythm: A Comparative Study of Apparently Healthy German Shepherd Dogs Versus Dogs with Cardiac Affections

Background: The objective of the present study was to define existence of age and body weight related cardiac structural and functional changes in both healthy GSD as well as those having structural or functional cardiac affections. Thus the present study was conducted to establish the reference values of various parameters of ECG based on age and body weight and further evaluation of clinical cases based on these reference values. Method: The present study was conducted on eight apparently healthy German shepherd dogs aged 36-72 months with body weight 22-33.2 kg free from cardio-thoracic diseases to establish the reference values of various electrocardiographic parameters (Group-I) and used to evaluate the cardiac rhythm in 3 GSD dogs having some cardiac diseases (Group-II) based on the reference values obtained from Group-I. Result: Heart rate showed negative correlation with age and body weight. Positive correlation of amplitude of S and T wave, QRS complex, duration of T wave, P-R interval and R-R interval with age and body weight; amplitude of Q wave, duration of P wave and Q-T interval with body weight was observed. Negative correlation of amplitude of P and R wave, S-T interval with age and body weight; amplitude of Q wave, duration of P wave and Q-T interval with age was observed.
A Reactive Molecular Dynamics Algorithm for Proton Transport in Aqueous Systems

We present a model that incorporates the structural diffusion of a proton into a classical molecular dynamics simulation using a reactive molecular dynamics (RMD) algorithm. The transition state for proton transfer obtained from ab initio calculations is mapped onto a set of geometric and energetic triggers to describe the structural diffusion of the proton in the simulation. Numerical values of these triggers are parametrized to satisfy the experimental values of rate constant and activation energy in order to capture the molecular and macroscopic features of structural diffusion. The algorithm partitions the structural diffusion of a proton into three steps: (i) satisfaction of the triggers, (ii) instantaneous reaction, and (iii) local equilibration. The final step ensures that the ending point of the reaction provides the correct structure and heat of reaction. Hence, the reactivity is incorporated by the algorithm rather than through the development of a reactive potential. We have applied this scheme.
Dynamic hyperinflation, chronotropic intolerance and abnormal heart rate recovery in non-severe chronic obstructive pulmonary disease patients-reflections in the mirror.

BACKGROUND The presence of abnormal heart rate recovery (HRR) and chronotropic incompetence (CI) suggests autonomic dysfunction (AD) and is associated with diminished physical activity and increased cardio-vascular (CV) risk. AIM Our aim is to analyse the correlation between AD and airflow obstruction - forced expiratory volume in 1s (FEV1), dynamic hyperinflation (DH) and disease prognosis - the BODE - index (BMI; Obstruction - FEV1;Dyspnea - mMRC;E - exercise capacity) in non-severe COPD patients without overt CV comorbidities. METHODS We used cardio-pulmonary exercise testing (CPET) with 67 subjects. Inspiratory capacity (IC) manouevres were performed for DH assessment. Echocardiography was executed before CPET and 1-2min after peak exercise. Stress left ventricular diastolic dysfunction (LVDD) was assumed if stress E/e'>15.Wilkoff method calculated the metabolic-chronotropic relationship (MCR). Chronotropic incompetence (CI) and abnormal HR recovery (HRR) were determined. MAIN RESULTS CI was detected in 44% of the mild and 65% of the moderate COPD patients. Abnormal HRR was present in 75% of the mild and 78% of the moderate COPD subjects. Multivariate regression analysis showed no association between FEV1, CPET parameters, BODE index, stress LVDD and AD. DH was the only independent predictor for both abnormal HRR and CI. CONCLUSION Evaluation of AD during incremental CPET unravels lung hyperinflation as a potential mechanism of attenuated HR response and diminished physical activity in non-severe COPD free of overt CV comorbidities. This multifaceted approach to dyspnea may facilitate the discrimination of its pathogenesis and improve its proper clinical management.
Relationship between Emotional Intelligence and Marital Satisfaction of Male and Female Married Teachers in Anambra State

Marriages a bond between a man and a woman that is supposed to produce a satisfactory relationship whereby the married couple experience marital satisfaction that brings about mental and physical health of the individuals. This study determined the relationship between emotional intelligence and marital satisfaction of married teachers in Anambra state.three research questions were formulated to guide the study while three null hypotheses were tested at 0.05 level of significance. Correlational research design was adopted for the study. A sample size of 1,344 married teachers was drawn from a population of 6,987 married teachers. A multi-stage sampling procedure was followed selecting the sample. Two instruments: Emotional intelligence Scale (EIS) and Index of Marital Satisfaction (IMS) were adopted and used for data collection. The instruments are standardised measures and have the following reliability coefficient; 0.96 for IMS, 0.89 and for EIS. Data was collected through direct delivery approach. Data collected were analysed. Pearson correlation coefficients and regression analysis were used to answer research questions and test the hypotheses. Findings of the study showed among others that there is a significant low relationship existing among married teachers’ emotional intelligence and their marital satisfaction. Based on the findings of the study, it was recommended, among others that married teachers should be encouraged by the Counselors involved in marital counselling to pursue habits and attitudes that promote marital satisfaction through periodic seminars and counseling sessions.