Miracle-dz/UniFAR-FTUs huggingface dataset:
Higher Education in China, a Paradigm Shift from Conventional to Online Teaching

The entire education system, from elementary school to higher education, distorted during the lockdown period. The latest 2019 coronavirus disease (COVID-19) is not only recorded in China, but also globally. This research is an account of the online teaching paradigm assumed in the teaching method by most of universities in China and subsequent tests over the course. It looks forward to offering resources rich in knowledge for future academic decision-making in any adversity. The aim of this research paper is to explain the prerequisites for online education and teaching during the COVID-19 pandemic and how to effectively turn formal education into online education through the use of virtual classrooms and other main online instruments in an ever-changing educational setting by leveraging existing educational tools. The paper uses both quantitative and qualitative research approaches to analyses the views of online teachers and students on the learning regime, with specific attention to the online learning regime implementation process. In the midst of the COVID-19 outbreak, the purpose of this article is to provide an in-depth overview of online learning. These activities took place during a time of isolation, including the creation of a link between the process of change management and the online learning process in the education system to tackle current issues of academic interference and, however, the re-establishment of educational practice and debate as a normal system of procedural education.
A hybrid model for fake news detection: Leveraging news content and user comments in fake news

Nowadays, social media platforms such as Twitter have become a popular medium for people to spread and consume news because of their easy access and the rapid proliferation of news. However, the credibility of the news posted on these platforms has become a significant issue. In other words, written news that contains inaccurate information aiming to mislead readers has been rapidly disseminated on these platforms. In the literature, this news is called fake news. Detecting such news on social media platforms has become a challenging task. One of the main challenges is identifying useful information that is exploited as a way to detect fake news. A hybrid model comprising a recurrent neural network (RNN) and support vector machine (SVM) is incorporated to detect real and fake news. An RNN with bidirectional gated recurrent units was used to encode textual data, including news content and comments, to numerical feature vectors. The encoded features were fed to an SVM with radial basis function kernel to classify the given input of real and fakenews. Experiments on the real ‐ world dataset yield encouraging results and demonstrate that the proposed framework outperforms state ‐ of ‐ the ‐ art methods.
Tertiary nitrification in an up flow biofilter on floating media: influence of temperature and COD load

The wastewater plant Seine Aval (located in Acheres, France) treats 6 million PE (25 m 3 /s average flow, 570 MGD) with activated sludge. Following a research program called Azote Acheres which demonstrated that biofilters are an economical solution, the Paris Metropolitan Area Sewage Service (SIAPP) has tested 3 industrial prototypes during a period of more than 4 years. One of these is an up-flow biofilter using a floating filter bed made of expanded polystyrene beads. This specific process is called BIOSTYR and is used here as a nitrifying tertiary biofilter. The purpose of this paper is to show that the biofilter process achieves very low, steady state, effluent ammonia concentrations with different applied nitrogen loads (0.3 to 2.7 kg NTK/m 3 .d), even with low temperature and high applied carbonaceous load. During this 4 years period, a model has been developed to explain the hydraulic behavior of the filter. By measuring the operating conditions (temperature, loads), the head loss of the filter can be predicted. After this test period, the prototype has been operated by Seine Aval plant staff. The results obtained have confirmed the previous test results.
Recent Advances in Plasma-Based Cancer Treatments: Approaching Clinical Translation through an Intracellular View

Plasma medicine is a multidisciplinary field of research which is combining plasma physics and chemistry with biology and clinical medicine to launch a new cancer treatment modality. It mainly relies on utilizing low temperature plasmas in atmospheric pressure to generate and instill a cocktail of reactive species to selectively target malignant cells for inhibition the cell proliferation and tumor progression. Following a summarized review of primary in vitro and in vivo studies on the antitumor effects of low temperature plasmas, this article briefly outlines the plasma sources which have been developed for cancer therapeutic purposes. Intracellular mechanisms of action and significant pathways behind the anticancer effects of plasma and selectivity toward cancer cells are comprehensively discussed. A thorough understanding of involved mechanisms helps investigators to explicate many disputes including optimal plasma parameters to control the reactive species combination and concentration, transferring plasma to the tumors located in deep, and determining the optimal dose of plasma for specific outcomes in clinical translation. As a novel strategy for cancer therapy in clinical trials, designing low temperature plasma sources which meet the technical requirements of medical devices still needs to improve in efficacy and safety.
Depression among health care students in the time of COVID-19: the mediating role of resilience in the hopelessness–depression relationship

COVID-19 spread rapidly across the world, and by March 2020, the first case of COVID-19 was identified in South Africa. Lockdown-related measures such as restricted movement and isolation were implemented to contain the virus. Combined with these measures, factors such as economic decline, job losses, and food shortages can cause numerous mental health sequelae such as depression. Feelings of hopelessness and helplessness as well as cases of suicide have been reported around the world due to the pandemic and the associated feelings of anxiety and depression. The aims of this study were to investigate levels of hopelessness and depression in a sample of health care students. A random sample of students (N = 174) enrolled in a health sciences programme at the University of the Western Cape completed the Beck Hopelessness Scale, the Center for Epidemiological Studies Depression Scale, and a three-item Resilience Scale. The results revealed high levels of hopelessness and depression compared to previously reported normative data for these scales. In addition, the indirect effects of hopelessness on depression were significant, demonstrating the mediating role of resilience in the hopelessness–depression relationship. These results highlight a call for universities to take proactive measures in providing students with free and easily accessible resources to help them cope and manage stress during a traumatic event. More importantly, at a national level, preventive measures should be implemented to strengthen resilience in young adults.
Analysis of multi-factor regulated network and different clusters in hypertrophic obstructive cardiomyopathy

We herein explored the regulatory network between lncRNA, miRNAs, mRNAs, and TFs in the HOCM and divided HOCM samples into different clusters to identify key genes and regulatory factors. The four gene sets from GEO, GENE and OMIM databases were integrated and WGCNA network was used to obtain two modules and 32 core genes. Through online database, miRNA-lncRNA, miRNA-mRNA, and TF-mRNA interaction pairs were obtained to screen the regulatory factors, and finally a multi-factor regulatory network was obtained. The first 7 regulatory factors were obtained as the core regulatory factors. The unsupervised clustering method was used to divide HOCM samples into 4 clusters. As a result, four genes including COMP, FMOD, AEBP1 and SULF1 showed significant expression in different clusters. Finally, we got 4 genes are considered as important biomarkers for different progressive stages or prognosis of HOCM. These might assist in discovering molecular mechanisms of HOCM in the future.
The Rise of the Big Data Doctor: Recent Advances and Warnings in Digital Public Health Technology

The continuing expansion of social media and big data presents positive opportunities for healthcare research, public health surveillance, and dissemination of health information. However, caution must be used as online data can be harvested and sold without permission from the public. This includes social manipulation, such as the targeting of voters during elections, or pre-determining the likelihood of an individual engaging in high-risk behaviours with associated social, employment, or insurance consequences. The first independent COVID-19 contact tracing application (app) in the UK was unsuccessful. Subsequently, the UK Government has sought to develop apps with the help of large technology firms. These companies generate profit through surveillance capitalism - the mining of human digital activity for profit. Although large technology companies may have the resources available to assist with public health endeavours, their primary obligation to the shareholder should not be overlooked. This narrative review explores recent positive advances in the use of data derived from social media. It also highlights concerns about the potential to abuse this technology for outcomes that are not in the best interests of our patients or general population.
Towards a New Deep Learning Algorithm Based on GRU and CNN: NGRU

This paper describes our new deep learning system based on a comparison between GRU and CNN. Initially we start with the first system which uses Convolutional Neural Network (CNN) which we will compare with the second system which uses Gated Recurrent Unit (GRU). And through this comparison we propose a new system based on the positive points of the two previous systems. Therefore, this new system will take the right choice of hyper-parameters recommended by the authors of both systems. At the final stage we propose a method to apply this new system to the dataset of different languages (used especially in socials networks).
Influence of Lightning Characteristics on Back Flashover in Extra High Voltage Transmission Line: A case study

Lightning is one of the primary sources that cause failure on over head transmission system. It can lead to the transmission line insulator to be over voltage. Commonly, transmissions lines are equipped with ground wire and consist of one or two ground wire which it is depending on tower construction. Over voltage on the transmission line can occur in two ways viz., direct lightning strike on phase line and ground wire produce propagating wave to both sides the phase line and result in damage on insulator. Direct lightning stroke on ground wire or the tower structure of transmission can cause phenomenon back flashover (BFO) on insulator. The lightning current characteristic is distinguished in lightning maximum current and steepness of lightning current. This paper discusses influence of in different lightning characteristics on BFO in extra high voltage transmission line in simulation using ATP draw. The lightning surge currents of IEC and VDE standards were injected to the ground wire and phase lines. As the implementation, this paper used the data of extra high voltage transmission line of 275 kV, Galang - Binjai, North Sumatra Province, Indonesia.
Genome-Wide mRNA Profiling Identifies  the NRF2- Regulated Lymphocyte Oxidative Status in Patients with Silicosis

BackgroundThe immunomodulatory abnormalities of silicosis are related to the lymphocyte oxidative state. The potential effect of antioxidant therapy on silicosis may depend on the variation in nuclear factor erythroid 2-related factor 2 (NRF2)-regulated antioxidant genes in peripheral blood mononuclear cells (PBMCs). As NRF2 is a redox-sensitive transcription factor, its possible roles and underlying mechanism in the treatment of silicosis need to be clarified.MethodsIn this study, the lymphocyte oxidative state was investigated by evaluating NRF2 expression and NRF2-dependent antioxidative genes in PBMCs from patients with silicosis. Key differentially expressed genes (DEGs) and signaling pathways were identified utilizing RNA sequencing (RNA-Seq) and bioinformatics technology. Gene set enrichment analysis was used to identify the differences in NRF2 signaling networks between patients with silicosis and healthy controls.ResultsThe number of monocytes increased significantly through cytology detection in patients with silicosis. Furthermore, RNA-Seq findings were confirmed using quantitative polymerase chain reaction and revealed that NRF2-regulated DEGs were associated with glutathione metabolism, transforming growth factor-β, and the extracellular matrix receptor interaction signaling pathway in PBMCs from patients with silicosis. The top 10 hub genes were identified by PPI analysis: SMAD2, MAPK3, THBS1, SMAD3, ITGB3, integrin alpha-V (ITGAV), von Willebrand factor (VWF), BMP4, CD44, and SMAD7.ConclusionsThese findings suggest that NRF2 signaling regulates the lymphocyte oxidative state and may contribute to fibrogenic responses in human PBMCs. Therefore, NRF2 might serve as a novel preventive and therapeutic candidate for silicosis.
Competency-Based Education: Examining Educators’ Experiences

Competency-based education (CBE) is an increasingly popular instructional model in K-12 schools. In this qualitative case study, we examine how teachers make sense of CBE, and what challenges they in implementing a CBE model. We find that CBE teachers’ teaching identities had to undergo a shift to truly engage in CBE. Rather than acting as conveyors and assessors of knowledge, teachers had to construct their classrooms in a way that engaged and supported students in owning their own learning. We also found that educators face challenges around time, communication, and alignment.
Virtual experiment of simple pendulum to improve student’s conceptual understanding

The main purpose of this study is to figure out the effectivity of virtual laboratory on improving student’s conceptual understanding related to simple pendulum topic using PhET simulation. The study involved 75 students of Junior High School that grouped into 3 cluster (rural, suburban, and urban area). The result of pre-test and post-test based on 24 multiple choice questions in general revealed that the virtual experiment affects the improvement of student’s conceptual understanding with value classified into low to medium gain. Unexpectedly, the results of sample in rural area got highest gain compared to others.
Performance improvement of biomass combustion-basedstove byimplementing internally air-distribution

This research aimed to enhance the performance of biomass combustion-based stove. Thermal performances were assessed in terms of power output (Pout), specific fuel consumption (SFC), thermal efficiency (ηth), and burning rate (BR). These performances were expected to meet the minimum standards established by the Indonesian biomass stove alliance regarding the use of a healthy and energy-saving of biomass stove in Indonesia. The stove tested was an improved stove with an advantage on the air distributor by adding a component to administrate air combustion needed placed on the centre of the combustion zones. This is a very effective way to distribute air for combustion required where the air could reach all the fuel and the combustion product that occupy entire the combustion zones to ensure high combustion zone temperature. Coconut shell was used as feedstock. This biomass was found abundant in Indonesia and was widely used as heat source by burning it directly. The coconut shell was sized uniformly about 5 cm x 5 cm, dried by utilizing sun energy. To estimate the stove performances, several combustion tests was carried out where the air flow rate into the stove (Qa) and the amount of biomass fuel (mb) referred as the air–fuel ratio (A/F) were considered. The Water Boiling Test (WBT) was performed to assess this improved stove. Parameter required such as initial mass of coconut shell, the mass of residual ash, the initial mass of water, mass of water after boiling, and the time required to boil as well as combustion flame temperature were recorded and used to determine the performance of the improved stove studied.
Post-Ovipositional Developmental Stages of the Japanese Grass Lizard, Takydromus tachydromoides (Squamata: Lacertidae)

Abstract: The Japanese grass lizard, Takydromus tachydromoides, is a species endemic to Japan. While several studies have investigated the reproductive ecology of T. tachydromoides, the embryogenesis of this species has not been reported in detail. In the current study, we observed the external morphological characteristics of 247 embryo specimens that developed under a constant temperature (28°C) throughout the duration from oviposition to hatching. We identified 17 consecutive developmental stages for the post-ovipositional developmental process of this species based on the staging criteria that have been widely used for the description of embryogenesis of lizards. The youngest embryos on the day of oviposition corresponded to stage 26, which is a relatively early period in pharyngula stages, and juveniles hatched at stage 42, approximately 30 days after oviposition. The entire developmental sequence of key morphological features was shared with other species of Lacertidae, except for the timing of the beginning of the first body pigmentation. This is the first description of the complete sequence of post-ovipositional developmental stages for the oviparous species of Lacertidae, providing valuable information for further evolutionary developmental studies.
Sewage Sludge Utilization for Power Production

It has been experimentally shown that the Metso Hybex steam boiler, installed at CHP-plant No.1 of AO APPM and designed to burn a mixture of bark and wood waste and sewage sludge, ensures their efficient utilization without fuel oil support flaming. The gross efficiency was 85.22–85.24% at boiler unit loads close to the nominal. The environmental performance of the boiler fully complies with the requirements established by directive 2010/75/EU and GOST 50831-95. The operation of the boiler ensured the complete utilization of sewage sludge generated at the water and wastewater treatment facility. The annual savings of fossil fuels amounted to more than 80 thousand tons of reference fuel. The total content of heavy metals emitted into the atmosphere with fly ash by a Hybex boiler with a bubbling fluidized bed when burning high-moisture biofuels is many times lower than when burning coal.
Determination of ultra-trace amount mercury (II) ion in Tap water and Riverwater samples with the barium di phenyl amine sulfonate by the chlorate ionin sulfuric acid with kinetic method

new kinetic spectrophotometic method for the determination of trace amount mercury(II) in Tap water and River water samples has been described based on it s the catalytic effect on the oxidations of barium die phenyl aminosulfunate, by potassium chlorate in sulfuric acid. The reaction is followed spec- trophotometrically by measuring the decrease in the absorbance at 469 nm. Under the optimum conditions of 0.2 molL-1 sulfuric acid, 1.0 × 10-4 mol L-1, barium die phenyl aminosulfunate, 0.01 mol L-1 potassium chlorate at 35oC, calibration graph in the rang of 0.001-0.06 ng L-1 mercury(II). Concentration was obtained with detection limit of 0.2303 g mL-1 by the fixed-time method of 4.5 min. The relative standard deviation for 0.05 ng L-1 mercury(II) is %90. No serious interference was identified. The applicability of the method was demonstrated by the determination of the mercury (II) in Tap water and River water samples.
Dynamic structural colour increases photosynthetic performance in the alga Ericaria selaginoides

ABSTRACT Structural colour occurs when nanoscale structures interfere with incident light transmission and reflect particular wavelengths. The brown alga Ericaria selaginoides (Fucales, Phaeophyceae) has an opalescent photonic crystal anatomy that creates the blue colour of this seaweed but which responds to light, leading to speculation that the crystals have a photosynthetic role by modifying light transmission. Here, we characterize the colour response of E. selaginoides using time-lapse photography to capture responses to light treatments of different timing, duration, intensity and spectrum. The amount of light drove the colour response, with the most intense blue found in the dark which reduced rapidly in strong light and was not spectrum dependent. Chlorophyll a fluorometry showed that the maximum quantum efficiency of photosynthesis coincided with strong blue colouration but was reduced over two to three hours of illumination. This supports opalescent photonic crystals having a photosynthetic role by regulating light transmission to chloroplasts. Studies such as this could be used to improve solar cell efficiency and increase crop yield through the use of bio-inspired self-tuning mechanisms to optimize light transmission.
PREPARATION AND CHARACTERIZATION OF (−)-EPIGALLOCATECHIN GALLATE LIPID BASED NANOPARTICLES FOR ENHANCING AVAILABILITY AND PHYSICAL PROPERTIES

(−)-Epigallocatechin gallate (EGCG) is the most abundant and biologically active polyphenol found in green tea. (−)-Epigallocatechin gallate (EGCG) is highly potent antioxidant therefore, it has great therapeutic effect against cancer disease. Furthermore, it has antibacterial and anti-inflammatory effect. but it has some limitations, such as the poor permeability, the highly affinity to intestinal P-glycoprotein efflux mechanism and short half-life. Therefore, it has very low oral bioavailability. In current study, Precirol ® ATO 5 (P), glyceryl monostearate (GMS) and Compritol ® 888 ATO (C) were selected as solid lipids and miglyol (M) and sesame oil (SO) as liquid lipids, to develop EGCG-NLC (nanostructured lipid carrier) and EGCGSLN (solid lipid nanoparticles). EGCG was successfully encapsulated into lipid nanoparticles to improve its bioavailability. EGCG-NLC and EGCG-SLN were formulated using a hot homogenization-ultrasonication technique, and the physicochemical properties were characterized. The developed EGCG-NLCs and EGCG-SLNs showed small and homogeneous particle size approximately (308 and 379 nm) with entrapment efficiency around (76 and 49%), respectively. Also, the resulted formulation EGCG-NLC3 appeared under transmission electron microscope in almost spherical shape.
Participative epistemology in social data science: combining ethnography with computational and statistical approaches

ABSTRACT In this paper, I introduce the notion of participative epistemology and discuss how it can contribute to make social data science more accountable. I do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By presenting here in greater detail research design and pilot results of a project using professional networking data to understand the careers of IT industry analysts, I suggest a view on the collaboration between data science and social science as coordinated labour. The application of participative epistemology to social data science is articulated in three points: (1) a more tactical view on the partnerships with commercial data where shared value system is not a pre-requisite for coordinated knowledge production; (2) an appreciation for complementarities in perspective between phenomenological sociology, expertise in computer science associated to digitalisation and the narrative positivism linked with the use of statistics and (3) a view on social data science as contributing empirical sociology with new sensitizing concepts, taking ethnography to reflectively address its own presuppositions.