Miracle-dz/UniFAR-FTUs huggingface dataset:
Wheatgrass juice and its nutritional value as affected by sprouting condition.

Wheatgrass juice is the young grass of the common wheat plant (Triticum aestivum) freshly juiced for human consumption. The objective of the investigation performed was to assess the nutritional value of wheatgrass juice under laboratory and open field conditions at two different cuts. Protein, chlorophyll contents, minerals content (Ca, Fe, Mg, Zn and Se) and amino acids content as well as phytochemical constituents were determined. Grown wheatgrass at laboratory caused an increase of the protein content of its juice over open field condition. High chlorophyll content was observed under open field especially at second cut. Most of minerals content underwent to increase under open field except Mg content. Aspartic acid was recorded the highest amino acid in both laboratory and open field. Total essential amino acids were increased under open field condition at both first and second cut followed by first cut at laboratory. No big changes of natural phytochemicals constituents can shown between laboratory and open field condition while it was more pronounced compare with wheat seeds. The study suggested that sprouting wheat seeds at laboratory and open field improve the nutritional value of grass juice with preferably to laboratory condition especially at first cut and for saving agricultural land.
Use of Great Lakes Recreational Beaches and Human-Waste Sites by Ring-Billed Gulls

Abstract - Larus delawarensis (Ring-billed Gull) populations have increased >4% annually in the Great Lakes region since 2003. Gull–human interactions and conflicts have similarly increased, particularly concerning human health and safety issues related to gull feces deposited at recreational beaches. During June–August 2013, we conducted a radiotelemetry study of Ring-billed Gulls in a Lake Michigan coastal region to determine patterns of habitat use and movement between recreational beaches and human infrastructure by gulls. Of 14 individuals relocated, we found Ring-billed Gulls selected recreational beaches and landfill sites and avoided agricultural fields. We found 5 of 14 gulls made a minimum of 2 roundtrips between beaches and landfills over the study period. Gulls may serve as transport vectors for bacteria and other pathogens from human-waste sites to areas of probable human contact and concentration, such as public recreational beaches. As such, pathogen distribution and connectivity within a landscape could be established, maintained, and enhanced by gull movements. Managers may need to implement exclusion tools for gulls at both of these sites to maintain human-health standards.
Association of early neonatal-maternal outcomes with timing of elective caesarean section at term gestation

Caesarean section (CS) is one of the most commonly performed surgical interventions in obstetrics. The neonatal and maternal outcome depends on numerous factors among which mode of delivery and gestation age are the most important determinants. Recent systemic review and meta-analysis have concluded that newborn delivered by ECS is at a higher risk of developing respiratory complications in comparison to normal vaginal delivery (NVD). Changes taking place in NVD contributing towards smooth neonatal respiratory transition include upsurge of catecholamine, corticosteroid release, mechanical chest compression by the birth canal and expression of sodium channel on foetal lung epithelium. In ECS, lack of this catecholamine upsurge contributes to surfactant deficiency, making the neonatal transition more complex leading to increased incidence of NRM. NRM ranges from respiratory distress syndrome (RDS), transient tachypnea of the newborn (TTN) to respiratory failure warranting for admission to neonatal intensive care unit (NICU), affecting mother-child bond, increased cost of care owning to an extended hospital stay and complications from invasive procedures such as artificial ventilation. ABSTRACT
Theoretical approach to point defects in a single transition metal dichalcogenide monolayer: conductance and force calculations in MoS 2

We present here a small review on our exhaustive theoretical study of point defects in a MoS2 monolayer. Using Density Functional Theory (DFT), we characterize structurally and electronically different kinds of defects based on S and Mo vacancies, as well as their antisites. In combination with a Keldysh–Green formalism, we model the corresponding Scanning Tunneling Microscopy (STM) images. Also, we determine the forces to be compared with Atomic Force Microscopy (AFM) measurements, and explore the possibilities of molecular adsorption. Our method, as a support to experimental measurements allows to clearly discriminate the different types of defects. Finally, we present very recent results on lateral conductance calculations of defective MoS2 nanoribbons. All these findings pave the way to novel applications in nanoelectronics or gas sensors, and show the need to further explore these new systems. Résumé. Nous présentons ici une mini-revue de nos différents travaux sur l’étude théorique des défauts dans une monocouche de MoS2. En utilisant la Théorie de la Fonctionnelle de la Densité (DFT), nous avons caractérisé structurellement et électroniquement différents types de défauts à partir de lacunes de S et Mo, ainsi que leurs antisites. En combinaison avec un formalisme de Green–Keldysh, nous avons simulé les images de microscopie à effet tunnel (STM) correspondantes. Egalement, nous avons déterminé les forces, ∗Corresponding authors. ISSN (electronic) : 1878-1535 https://comptes-rendus.academie-sciences.fr/physique/ 2 César González and Yannick J. Dappe afin d’interpréter les expériences de microscopie à force atomique (AFM). Nous avons également étudié l’adsorption de molécules sur ces défauts. Finalement, nous présentons de récents résultats sur le calcul de conductance latérale dans des nano-rubans de MoS2 avec défauts. Ces travaux ouvrent la voie à de nouvelles applications en nanoélectronique ou pour les capteurs de gaz, et soulignent la nécessité d’explorer plus avant ces nouveaux systèmes.
Prototype-CNN for Few-Shot Object Detection in Remote Sensing Images

Recently, due to the excellent representation ability of convolutional neural networks (CNNs), object detection in remote sensing images has undergone remarkable development. However, when trained with a small number of samples, the performance of the object detectors drops sharply. In this article, we focus on the following three main challenges of few-shot object detection in remote sensing images: 1) since the sample number of novel classes is far less than base classes, object detectors would fail to quickly adapt to the features of novel classes, which would result in overfitting; 2) the scarcity of samples in novel classes leads to a sparse orientation space, while the objects in remote sensing images usually have arbitrary orientations; and 3) the distribution of object instances in remote sensing images is scattered and, therefore, it is hard to identify foreground objects from the complex background. To tackle these problems, we propose a simple yet effective method named prototype-CNN (P-CNN), which mainly consists of three parts: a prototype learning network (PLN) converting support images to class-aware prototypes, a prototype-guided region proposal network (P-G RPN) for better generation of region proposals, and a detector head extending the head of Faster region-based CNN (R-CNN) to further boost the performance. Comprehensive evaluations on the large-scale DIOR dataset demonstrate the effectiveness of our P-CNN. The source code is available at https://github.com/Ybowei/P-CNN.
Solidification Pattern of Si-Alloyed, Inoculated Ductile Cast Irons, Evaluated by Thermal Analysis

The solidification cooling curve itself as well as its first derivative, and related temperatures, reported to the calculated equilibrium temperatures in stable and metastable solidification systems, are used to predict the solidification characteristics of the cast iron. Silicon, as the most representative cast iron element, and inoculation, as graphitizing metallurgical treatment, have a major influence on the transition from the liquid to the solid state. Six experimental programs are performed, with Si content typically for non-alloyed (<3.0% Si), low (3.0–3.5% Si) and medium alloyed (4.5–5.5% Si) ductile cast irons, as Si-content increasing, and inoculation simultaneous effects. Silicon is an important influencing factor, but the base and minor elements also affect the equilibrium eutectic temperatures, much more in the Fe-C-Si-Xi stable system (15–20 °C) than in the metastable system (5–10 °C), comparing with their calculation based only on a Si effect (Fe-C-Si system). The highest positive effect of inoculation is visible in non-Si alloyed cast irons (2.5% Si): 9–15 °C for the eutectic reaction and 3 to 4 times increased at the end of solidification (37–47 °C). Increased Si content decreases inoculation power to 7–9 °C for low alloying grade (up to 3.5% Si), with the lowest contribution at more than 4.5% Si (0.3–2.0 °C). 2.5–3.5% Si ductile cast irons are more sensitive to high solidification undercooling, especially at the end of solidification (but with a higher efficiency of inoculation), compared to 4.5–5.5% Si ductile cast irons, at a lower undercooling level, and at lower inoculation contribution, as well.
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm

ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by inventing several advanced extensions. However, most of the proposed extensions have exclusively been improved in a pedagogical sense, as the improvements have mostly been limited to the analysis of students’ behaviour during their learning process. In contrast, Machine Learning provides many powerful methods that could be efficient to enhance, in the technical sense, the prediction of student performance. Our goal is to focus on the exploitation of Ensemble Learning methods as an extremely effective Machine Learning paradigm used to create many advanced solutions in several fields. In this sense, we propose a new PFA approach based on different models (Random Forest, AdaBoost, and XGBoost) in order to increase the predictive accuracy of student performance. Our models have been evaluated on three different datasets. The experimental results show that the scalable XGBoost has outperformed the other evaluated models and substantially improved the performance prediction compared to the original PFA algorithm.
STUDENTS' PERCEPTIONS OF USING GOOGLE CLASSROOM DURING THE COVID-19 PANDEMICC

Technology has impacted most of the sectors, including the education field. Nowadays, many schools have incorporated technology through Information and Communication Technologies (ICT) into learning. This research investigates students' perception of Google Classroom as a learning tool during the covid-19 pandemic. The method used in this research is quantitative descriptive through an online questionnaire and online deep interview sessions with students from SMP Muhammadiyah Yogyakarta. Twenty-eight students have been joining Google Classroom in English learning for at least one term during the covid-19 pandemic. Five students also interviewed to seek more information about their experiences using Google Classroom. Findings showed that several factors influence the students' online learning process in a covid-19 pandemic, namely, usefulness, ease of use, ease of learning, and satisfaction. In general, Google Classroom is very useful in improving students' skills, abilities, discipline, and independent learning through teaching materials.
Construction of homogenized daily surface air temperature for the city of Tianjin during 1887–2019

Abstract. Century-long continuous daily observations from some stations are important for the study of long-term trends and extreme climate events in the past. In this paper, three daily data sources – (1) the Department of Industry Agency of the British Concession in Tianjin covering 1 September 1890–31 December 1931, (2) the Water Conservancy Commission of North China covering 1 January 1932–31 December 1950 and (3) monthly journal sheets for Tianjin surface meteorological observation records covering 1 January 1951–31 December 2019 – have been collected from the Tianjin Meteorological Archive. The completed daily maximum and minimum temperature series for Tianjin from 1 January 1887 (1 September 1890 for minimum) to 31 December 2019 has been constructed and assessed for quality control with an early extension from 1890 back to 1887. Several significant breakpoints are detected by the penalized maximal T test (PMT) for the daily maximum and minimum time series using multiple reference series around Tianjin from monthly Berkeley Earth (BE), Climatic Research Unit Time-Series version 4.03 (CRU TS4.03) and Global Historical Climatology Network (GHCN) v3 data. Using neighboring daily series the record has been homogenized with quantile matching (QM) adjustments. Based on the homogenized dataset, the warming trend in annual mean temperature in Tianjin averaged from the newly constructed daily maximum and minimum temperature is evaluated as 0.154 ± 0.013 ∘ C per decade during the last 130 years. Trends of temperature extremes in Tianjin are all significant at the 5 % level and have much more coincident change than those from the raw data, with amplitudes of −1.454 , 1.196, −0.140 and 0.975 d per decade for cold nights (TN10p), warm nights (TN90p), cold days (TX10p) and warm days (TX90p) at the annual scale. The adjusted daily maximum, minimum and mean surface air temperature dataset for Tianjin city presented here is publicly available at https://doi.org/10.1594/PANGAEA.924561 (Si and Li, 2020).
Spatial surface velocity pattern in the glaciers of Chandra Basin, Western Himalaya

Abstract Himalayan glaciers are distinct by their surface characteristics, such as debris-cover, supra/proglacial lakes, ice-cliff, and tributaries' contributions, thus complicating their surface velocity pattern and their response towards climate warming. While remote sensing and modelled surface velocity estimation are valuable on a larger scale, in situ high-resolution data is crucial to validate them. In this study, four glaciers (Batal, Sutri Dhaka, Samudra Tapu, and Gepang Gath) from Chandra Basin were monitored to measure point-wise surface displacement using a static GNSS system during 2017–2018. Among them, the highest surface velocity was observed over Samudra Tapu (∼64.3 ma−1), a large and clean-type glacier, while the lowest was for Batal (∼6.2 ma−1), a small and debris-covered glacier. Our study highlighted the contrasting behaviour of lake-terminating and debris-covered glaciers for the surface velocity and also emphasize the additional control of the slope, supraglacial lake, debris thickness and convergence of glacier channels on the glacier surface velocity.
Using Memes in the Language Classroom

Teaching vocabulary is a big challenge for teachers, and also a huge difficulty for students is to remember the vocabulary items. The main purpose of this study is to create an enjoyable learning and teaching environment to help students revise certain vocabulary items and make students have fun by being creative. In that, memes are trendy phenomena which are both entertaining and creative way of expressing one’s feelings on one topic. In this study, memes were used for vocabulary revision. To see its effect on vocabulary recall, a quiz was conducted before and after the experiment. To determine its effect on students’ opinions, a feedback form was also applied after the experiment. The results show that the use of memes affected the vocabulary recall of the Medicine students positively. Therefore, they could be used as one of the strategies to create an innovative learning and teaching process.
Charge Transport and Recombination in TiO2 Brookite-Based Photoelectrodes

The photoactivity of the stable nanosized TiO2 polymorphs is challenging for many advanced applications. In the present work, brookite TiO2 nanoparticles with two different shapes have been used as building blocks for the preparation of pure brookite mesoporous layers. The layers have been characterized before and after sensitization. They have been used as photoanodes in dye-sensitized solar cells (DSSCs). The cell functioning coupled processes have been investigated by the impedance spectroscopy (IS) technique at various applied voltages and compared to a reference anatase TiO2 solar cell. The investigations of the chemical capacitance and of the charge transfer resistance, Rct, show that, compared to anatase, the brookite surface is less active for the recombination side reaction. The larger Rct is shown to explain the higher open circuit voltage of the brookite cells. However, the charge transport is much slower in the brookite phase due to a lower electrical conductivity. This parameter has been quan.
Maternal Secondhand Smoke Exposure Enhances Macrosomia Risk Among Pregnant Women Exposed to PM2.5: A New Interaction of Two Air Pollutants in a Nationwide Cohort

Background: Fine particulate matter (PM2.5) is one of the most common outdoor air pollutants, and secondhand smoking (SHS) is an important source of inhalable indoor air pollution. Previous studies were controversial and inconsistent about PM2.5 and SHS air pollutants on neonatal birth weight outcomes, and no studies assessed the potential interactive effects between PM2.5 and SHS on birth weight outcomes. Purpose: To investigate the interaction between gestational PM2.5 and SHS air pollution exposure on the risk of macrosomia among pregnant women and examine the modifying effect of SHS exposure on the association of PM2.5 air pollution and birth weight outcomes during pregnancy. Methods: Research data were derived from the National Free Preconception Health Examination Project (NFPHEP), which lasted 3 years from January 1, 2010, to December 31, 2012. At least 240,000 Chinese women from 220 counties were enrolled in this project. PM2.5 exposure concentration was obtained using a hindcast model specific for historical PM2.5 estimation from satellite-retrieved aerosol optic depth. Different interaction models about air pollution exposure on birth weight outcomes were established, according to the adjustment of different confounding factors and different pregnancy stages. The establishment of interaction models was based on multivariable logistic regression, and the main confounding factors were maternal age at delivery and pre-pregnancy body mass index (BMI) of participants. SHS subgroups analysis was conducted to further confirm the results of interaction models. Results: In total, 197,877 participants were included in our study. In the full-adjusted interaction model, maternal exposure to PM2.5 was associated with an increased risk of macrosomia in whole, the first-, second-, and third trimesters of pregnancy (p < 0.001). The interactive effect was statistically significant between maternal exposure to PM2.5 and SHS on the risk of macrosomia in the whole (interaction p < 0.050) and the first-trimester pregnancy (interaction p < 0.050), not in the second (interaction p > 0.050) or third trimester (interaction p > 0.050) of pregnancy. The higher frequency of SHS exposure prompted the stronger interaction between the two air pollutants in the whole pregnancy and the first-trimester pregnancy. Conclusions: In the whole and first-trimester pregnancy, maternal exposure to SHS during pregnancy enhanced the risk of macrosomia among pregnant women exposed to PM2.5 air pollutants, and the interaction became stronger with the higher frequency of SHS exposure.
An Empirical Study of HR Practices and Employee’s Engagement in Banking Sector

Companies around the world are grappling about how to improve employee engagement in an organization. For businesses to achieve long-term sustainability and well-being, employees must be engaged. Employees accept the job that could help them go through the ladder of their needs starting from the basic needs like security up to self-enhancement, for instance, self-ego or self-worth. Social exchange theory has been selected for this study, because this theory provide knowledge and understanding which is related to the study of employee engagement. This study used quantitative approach. The samples of this research were 132 employees of private banks in Sana’a, Yemen. Data retrieval used a questionnaire and the responses are accumulated through the structured questionnaires.
Nutritional Status and Dietary Pattern of the Elderly in Tshiulungoma and Maniini Village of Thulamela Municipality, Vhembe District.

Introduction: Dietary patterns provide a comprehensive information about the food consumption habits within a population. Dietary patterns of every individual changes as we grow older. Dietary pattern of elderly is essential to the evaluation of their nutritional status. This study aimed to describe the nutritional status and dietary pattern of the elderly. Methods: This was a cross sectional study involving elderly people aged 60 years and above. Socio demographic information was obtained from elderly people through a questionnaire. Dietary information was assessed using a questionnaire and dietary diversity score. Data on dietary intake were collected using Food Frequency Questionnaire (FFQ). Height and weight were measured. BMI were determined and classified using BMI category. Results: A total of 300 elderly people had participated in the study, 150 from Maniini village and 150 from Tshiulungoma village. The prevalence of underweight, overweight and obesity was 2%, 34% and 17% respectively. Most (66%) of the participants ate three meals per day. It was found that 13.7% of the elderly skipped breakfast every day. About 19.6% of elderly ate supper sometimes while 13.7% did not eat supper.Conclusion: The findings of study reveals that most of the participants ate three main meals a day, with minority skipping either breakfast or dinner or eat in- between meals. Obesity was more prevalent in female as compared to the male counterparts. Improving nutritional status of elderly should follow an integrated approach tackling both malnutrition at the same time considering behavioural approach.