Miracle-dz/UniFAR-FTUs huggingface dataset:
Collaborative Online Learning Using a Blended Learning Design for a Physiology Course in Nursing Education

Background: This paper is based on implementation of Salmon’s model for online collaborative learning in a blended learning context for part-time nursing students at a Norwegian university. Objectives: The aim of this study was to explore and describe students’ experiences and to assess the relevance of Salmon’s model applied in a blended learning course in physiology. Methods: The study used a qualitative descriptive design. Data were collected from students enrolled in a physiology course in 2011 and 2012. Qualitative data came from survey and focus group interviews. Collaborative Online Learning Using a Blended Learning Design for a Physiology Course in Nursing Education Seminar.net International journal of media, technology and lifelong learning 2 Vol. 17 – Issue 1 – 2021 Findings: Three themes emerged from this study: participation in both steps of the twostep design is important but challenging; online socialisation and a sense of group community support student participation and learning in group e-tivities; and the students’ perception of responsibility when collaborating online. Conclusions: The teacher’s facilitation of online socialisation, participation, collaboration, feedback and intervention promoted a sense of community and was crucial for the students’ learning of physiology. However, a lack of confidence concerning professional physiology knowledge led to a greater dependency on the teacher than Salmon’s model suggests. The model may have limited potential in physiology, which requires causal reasoning. We suggest combining Salmon’s asynchronous model with synchronous activities.
Strategy to Improve Edge-Based Smoothed Finite Element Solutions Using Enriched 2D Solid Finite Elements

In this paper, we present an automatic procedure that enhances the solution accuracy of edge-based smoothed 2D solid finite elements (three-node triangular and four-node quadrilateral elements). To obtain an enhanced solution, an adaptive enrichment scheme that uses enriched 2D solid finite elements and can effectively improve solution accuracy by applying cover functions adaptively without mesh-refinement is adopted in this procedure. First, the error of the edge-based finite element solution is estimated using a devised error estimation method, and appropriate cover functions are assigned for each node. While the edge-based smoothed finite elements provide piecewise constant strain fields, the proposed enrichment scheme uses the enriched finite elements to obtain a higher order strain field within the finite elements. Through various numerical examples, we demonstrate the accuracy improvement and efficiency achieved.
A Hybrid Method to Eliminate Leakage Current and Balance Neutral Point Voltage for Photovoltaic Three-Level T-Type Inverter

Nowadays, neutral point voltage (NPV) balancing control and leakage current (LC) reduction methods are considered to improve the reliability of transformerless three-level T-type (3LT2) inverter. Medium vector pulse width modulation (MVPWM) method can control the inverter operation to eliminate the LC; however, is powerless to balance the NPV. Alternatively, discontinuous PWM (DPWM) methods can be implemented to balance the NPV. In this article, a hybrid method for transformerless 3LT2 inverter is proposed to simultaneously minimize the LC and accomplish balancing control in case of NPV unbalancing. The proposed method applies MVPWM switching patterns to eliminate LC while the NPV is balanced. If the NPV becomes unbalanced, it applies specific switching patterns of the DPWM methods as alternative patterns to balance the NPV with minimal LC. Accordingly, the proposed method not only maintains the LC elimination advantage of the MVPWM method but also realizes the NPV balancing capability without any topology modification or adding electrical components. Noteworthy, even the NPV balancing is accomplished with minimal flow of the LC. The proposed method is carrier-based PWM, which shortens execution time and simplifies practical implementation. Experimental tests have been accomplished and results demonstrate the effectiveness of the proposed method on adding the NPV balancing capability with minimal LC to the MVPWM method.
Supply versus demand of health care facilities in a competitive context: Case of tuberculosis care in Douala-Cameroon

Background Identifying the socio-economic factors associated with the supply and the demand of health facilities (HF), can contribute to the decision-making of the creation of the HF. This study aims to contribute to this issue, in the competitive context of the tuberculosis diagnosis and treatment centres (DTC), and to describe the spatial distribution of the residence of TB patients and DTC, to understand the DTC attendance’ rate in the city of Douala, Cameroon. Methods The Spatial analysis was performed to access the spatial-economic model hiding behind the distribution of the “observed” number of patients attending the DTCs compared to the “expected” number. Multivariate analysis using logistic regression and the analysis of variance were used to identify the factors associated to the demand and supply of DTCs respectively. Results The decentralization policy advocated by the national program against tuberculosis (NTP) is not always followed by the patients: The “expected” and the “observed” number of patients in DTCs are not correlated. The attendance of DTCs in Douala is in accordance with the spatial-economic theory models of Salop and Hotelling, which is an artefact. Patients seeking treatment in DTCs closer to their residence are mainly women and patients from relative poor households, while attendance of DTC was associated with the quality of service and the level of the HF. Conclusion Attendance HF is dictated by the spatial-economic theory models. The policy of creating HF for TB is not followed by patients in competitive context. Attendance of HF by TB patients is associated with socioeconomic factors;
Solar and visible light photocatalytic enhancement of halloysite nanotubes/g-C3N4 heteroarchitectures

Novel heteroarchitectures made of graphitic carbon nitride (g-C3N4) and halloysite nanotubes (HNTs) were prepared by a facile and soft self-assembly strategy. The morphological, structural and electronic properties of the HNTs/g-C3N4 nanocomposites were determined by means of a plethora of techniques including N2 physisorption, XRD, FT-IR, TEM, UV-Vis absorption, XPS, ζ potential and photoluminescence (PL). Their photocatalytic activity was evaluated under both simulated solar light and pure visible light irradiation against the photodegradation of neutral, positively and negatively charged pollutants, namely phenol, methylene blue (MB) and methyl orange (MO), respectively. The prepared HNTs/g-C3N4 nanocomposites were proven to be durable and significantly more efficient than the pure g-C3N4 reference for the degradation of positively charged and neutral organics. The nanocomposites presented increased charge carrier formation and reduced recombination rates due to the tight contact between the two components. The enhanced photoactivity was attributed to the dual function of HNTs enhancing (a) the abundance and stability of the photogenerated e− and h+ pairs and (b) the adsorption of positively charged organics on the nanocomposite. Both functions originate from the charged surface of HNTs.
Inquiry-based learning as a tool during transitions in the teacher education program

The transitions between the statuses of pupil, student teacher and professional teacher remain some of the most fundamental challenges for student teachers. Teacher education programs emphasize that students should become equipped with competences to cope with change and adhere to career-long learning. In this study, we make use of inquiry-based learning (IBL) and qualitative data collected from student teachers at three different departments at a university in Norway to investigate how student teachers reflect on these transitions. The findings suggest the need to assist the students in engaging in a dialogue between theory and practice in relation to these transitions, and that IBL cannot be developed hermetically at the university without a close dialogue with the practice field.
A Review Paper on Facial Recognition for Automated Attendance System

: Taking attendance in the traditional manner, i.e. calling out the names of each student present in the class, and maintaining these records can be very tiresome and time consuming. There are also high chances of false attendance being marked, or a student unable to mark themselves present despite being present in the class. Numerous biometric techniques have been proposed for finding an easier method to mark attendance, to improve the system and enable it to automatically store the attendance database. In this work, the authors have focused on facial recognition. The facial recognition system takes the faces of the people as objects and uses them to identify with the images present in the database to mark whether or not they were present. The emphasis of this work was to analyze, summarise and discuss the accuracies and limitations of the various techniques proposed by different authors. This work also highlights the previous research and future scope of face recognition systems.
Structural and mechanical stabilities, electronic, magnetic and thermophysical properties of double perovskite Ba2LaNbO6: Probed by DFT computation

The potential of a material to switch the squander heat into electricity depends on the magnitude of conductivities and the Seebeck coefficient. In this comprehensive report, we have made an effort to simulate the properties of Ba2LaNbO6 within the instructions of density functional theory. The exchange‐correlation potential is probed through local density approximation and generalized gradient approximation. The modified Becke‐Johnson potential was also incorporated. The mechanical and structural stabilities are defined through the computation of elastic constants and optimization of total energy, respectively. The computed lattice parameters are consistent with the experimentally reported results. Band structure and energy state distribution plots portray the semiconducting behavior for Ba2LaNbO6. The thermoelectric effectiveness of Ba2LaNbO6 is predicted by computing parameters like the Seebeck coefficient, the figure of merit. The Seebeck coefficient exhibits pronounced peaks on either side of the Fermi level while ZT peaks have a value close to unity.
Knowledge and adherence to social distancing guidelines in Nigeria during the COVID-19 pandemic

Social distancing refers to actions or steps taken by an individual or groups of individuals with the main purpose of reducing physical and social interaction to curb the spread of infectious disease. This study sought to determine Nigerians’ knowledge of social distancing and why most people do not adhere to the guidelines amid the COVID-19 pandemic. A non-probability sampling method was used for this study; data were generated from respondents who filled an online form distributed on all social media platforms. All respondents living in Nigeria were included in the study while those living outside at the time of the survey were excluded. Results from the survey revealed that most Nigerians are knowledgeable about social distancing guidelines but observed low or non-adherence to the rules. This non-compliance was partly attributed to poor knowledge of the guidelines due to inadequate information from the government, and majorly due to lack of basic amenities, poverty and hunger. Further research and policies on the best avenue of reaching this group of Nigerians with a substantial economic package, an improvement on information dissemination on social distancing guidelines will make a great difference. Finally, the authorities and policymakers can develop programmes to prepare citizens for the eventuality of a future pandemic. Key words: Adherence, social distancing, knowledge, guidelines.
A Review on MXene: Synthesis, Properties and Applications on Alkali Metal Ion Batteries

As a new type of two-dimensional material, MXene has been extensively known due to its various functional groups. The profuse surface terminated functional groups bring good conductivity and hydrophilicity to MXene, make it a good material for batteries. In this article, the synthesis, properties and batteries applications of MXenes were introduced, and the current challenges and outlook for future research on MXene applications was discussed.
Task-Decomposition based Anomaly Detection of Massive And High-Volatility Session Data on Academic Backbone Network

The Science Information Network (SINET) is a Japanese academic backbone network for more than 800 universities and research institutions. The characteristic of SINET traffic is that it is enormous and highly variable. In this paper, we present a task-decomposition based anomaly detection of massive and highvolatility session data of SINET. Three main features are discussed: Tash scheduling, Traffic discrimination, and Histogramming. We adopt a task-decomposition based dynamic scheduling method to handle the massive session data stream of SINET. In the experiment, we have analysed SINET traffic from 2/27 to 3/8 and detect some anomalies by LSTM based time-series data processing.
Audiovisual Production by the Contemporary European Extreme Right: Filmic Inheritances and Intertexts to Spread the Hate

This article analyses the narrative techniques of major far-right political parties in contemporary Europe, based on their promotional videos on YouTube. It argues that the construction of their discourse is based mainly on cinematic references that connect with both the post-modern epic and the propaganda machinery of the Third Reich. Their visual motifs are thus positioned on two intertextual axes: post-classical cinema and Nazi propaganda. To support this hypothesis, a qualitative methodology of discourse analysis is applied, with special emphasis on the textual analysis of both formal features (staging, framing, and editing) and thematic content (the political messages conveyed). After offering a brief outline of the current state of the dissemination of right-wing extremist messages on YouTube, the article examines a sample of 53 of the most important institutional videos by the 12 far-right parties that have been most successful in their respective national elections. The results confirm that their visual motifs evoke three of the most characteristic fields of signification of the extreme right: the construction of the leader, the idea of nation, and the creation of an external enemy. In all three cases, a series of images is used with the aim of both captivating the audience with historical-military references and appropriating stylistic features from the nationalist iconography of the Heimat, which inspired many of the UFA films of the Nazi
Determining the Influence of Participatory Evaluation on Conservation of Mau Forest Programme in Bomet County, Kenya

Forests are considered the second most important natural resource after water throughout the world. There is need to undertake review of policies and legislation on forestry to incorporate aspects of Participatory Forest Management to conserve and manage resources in a sustainable way. The paper sought to determine the extent to which Participatory evaluation influences conservation of Mau Forest programme. This study was guided by descriptive survey and correlational research designs. A sample size of 364 respondents was drawn from a target population of 4100 people using Yamane (1967) Formula.From the findings, r = -0.048 indicated that there was a weak negative linear correlation between Participatory evaluation and Conservation of Mau Forest programme. With a p-value=0.43), the null hypothesis was not rejected and recommended that there is need to do a holistic analysis of local people, their livelihood assets and strategies, resource-use patterns and power relations before the implementation of conservation programs.
The effects of unburned-gas temperature on intrinsic instability of premixed flames at high Lewis numbers under the adiabatic and non-adiabatic conditions

We treated numerically premixed flames at high Lewis numbers under the adiabatic and non-adiabatic conditions to elucidate the effects of unburned-gas temperature on intrinsic instability. Numerical calculations of two-dimensional unsteady reactive flow were performed, based on the compressible Navier-Stokes equation including one-step chemical reaction. Lewis numbers higher than unity were adopted, and radiative heat loss was employed. Superimposing a sinusoidal disturbance with sufficiently small amplitude on a stationary planar flame, we obtained the relation between the growth rate and wave number, so-called dispersion relation. When the Lewis number was higher than unity, the growth rate was small and the unstable range was narrow, compared with premixed flames at Lewis number of unity, which was because of the weakness of intrinsic instability due to diffusive-thermal effects. As the unburned-gas temperature became higher, the growth rate increased and the unstable range widened. This was because of the increase of the burning velocity of a planar flame. Taking account of radiative heat loss, we obtained small growth rates and narrow unstable range. To study the characteristics of cellular flames generated by intrinsic instability, we superimposed a disturbance with the critical wave number corresponding to the maximum growth rate. The superimposed disturbance evolved, and a cellular flame formed. The burning velocity of a cellular flame normalized by that of a planar flame decreased as the unburned-gas temperature became higher. As the heat loss became larger, the normalized burning velocity of a cellular flame decreased. This indicated that the heat loss inhibited the instability of premixed flames at high Lewis numbers.
A nutrigenetic approach to examine the relationship between vitamin B12 status and cardio‐metabolic traits in multiple ethnic groups – findings from the GeNuIne Collaboration

Low vitamin B12 concentration has been shown to be a risk factor for cardiometabolic traits in numerous observational studies; however, the relationship has remained inconsistent. It is possible that certain genotypes jointly contribute to cardio-metabolic diseases and vitamin B12 deﬁciency, and these may be modulated by dietary factors. The main objective of this article is to summarise the ﬁndings from the GeNuIne (Gene-Nutrient Interactions) Collaboration on the effect of gene – nutrient interactions on vitamin B12 concentrations and cardio-metabolic disease risk factors in population-based studies from different ethnic groups. Interactions between vitamin B12-related single-nucleotide polymorphisms (SNPs) and protein energy intake (%) on waist circumference ( P interation = 0.002) and body fat percentage ( P interaction = 0.034) were observed in Sri Lankan and Indonesian populations, respectively. In the study in Brazilian adolescents, the metabolic and vitamin B12-related SNPs showed a signiﬁcant interaction with dietary carbohydrate and protein intakes on oxidised low-density lipoprotein cholesterol and homocysteine concentrations, respectively. In the Asian Indian population, an association between obesity-related SNPs and vitamin B12 concentrations ( P = 0.018) was observed. In summary, these studies in multiple ethnic groups show that the association between genetically low vitamin B12 concentrations and cardio-metabolic traits may be modiﬁed by dietary intake. Further studies utilising larger sample sizes are needed to conﬁrm or refute our ﬁndings.
Reduced Asymmetric Memory Window Between Si-Based n- and p-FeFETs With Scaled Ferroelectric HfZrOₓ and AlON Interfacial Layer

The Si-based n- and p-FeFET with 5-nm ferroelectric (FE) HfZrO<sub>x</sub>(HZO) and high-k AlON interfacial layer (IL) were fabricated for the comparison of memory characteristics and reliability. The memory window (MW) of 1.37 V and 1.25 V are obtained by the n- and p-FeFET respectively by applying pulses of ±3.8 V/<inline-formula> <tex-math notation="LaTeX">$50~\mu $ </tex-math></inline-formula> s. The typical MW asymmetry for both types of FeFETs is significantly reduced which is attributed to the reduced remanent polarization (<inline-formula> <tex-math notation="LaTeX">$\text{P}_{\text {r}}$ </tex-math></inline-formula>) from the highly scaled HZO and the enhanced voltage drop across the HZO as well as the improved interfacial quality from the AlON IL. In addition, the p-FeFET demonstrates a MW of 1.02 V up to <inline-formula> <tex-math notation="LaTeX">$10^{{5}}$ </tex-math></inline-formula> cycles with a long pulse <inline-formula> <tex-math notation="LaTeX">$10^{-{4}}\text{s}$ </tex-math></inline-formula>, superior to that of the n-FeFET due to the mitigated hot-electrons induced hole generation. Furthermore, the p-FeFET shows comparable retention performance with the n-FeFET. These results indicate that the p-FeFET possesses the competence of future memory applications without adding process complexity and introducing new substrate material.
Coronavirus in News Text: Critical Discourse Analysis Detik.Com News Portal

At this time the whole world is being attacked by a virus called the Corona Virus or Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) is a type of virus that attacks the human respiratory system. This disease due to viral infection is called COVID-19. COVID-19 is a polemic that causes concern for the community due to its rapid spread and even causes many deaths, including in Indonesia. The condition of this social situation makes a lot of news done, one of which is related to prevention with social distancing published by Detikcom. This study aims to conduct a critical analysis of articles about COVID-19 on Detikcom. This research uses a descriptive method. The object of the research is an article entitled "Tentang Social Distance, Cara Pemerintah Cegah Penyebaran Virus Corona" released on Monday, March 16, 2020, by Detikcom. Data analysis was performed using Fairclough's critical discourse analysis. The results show that the text in the discourse has been selected using the appropriate words to represent the expectations of a social distancing policy and is also able to represent the social conditions of the panicked community with the outbreak of COVID-19. The discourse in the text has also been able to provide feedback in the form of the social conditions of the community which can be a little calm with the existence of the policies that have been released as well as the direct role of the government and the credibility of Detikcom. The ideology is related to influencing society in implementing social distancing for the success of Government programs. Thus, this research will foster public confidence in dealing with this coronavirus and influence to implement social distancing during the COVID-19 pandemic.
Higher-Order Phase-Space Reconstruction for Detection of Epileptic Electroencephalogram

Article History: Received: 11 January 2021; Accepted: 27 February 2021; Published online: 5 April 2021 Abstract: In this paper, the authors propose a new technique for the classification of seizures, non-seizures, and seizure-free EEG signals based on non-linear trajectories of EEG signals. The EEG signals are decomposed using the EMD technique to obtain intrinsic mode functions (IMFs). The phase space of these IMFs is then reconstructed using a novel technique of higherorder dimensions (3D, 4D, 5D, 6D, 7D, 8D, 9D, and 10D). The existing techniques of seizure detection have deployed 2D & 3D phase–space reconstruction only. The Euclidean distance of all higher-order PSR is used as a feature to classify seizures, non-seizures, and seizure-free EEG signals. The performance of the proposed method is analyzed on the Bonn University database in which 7D reconstructed phase space classification accuracy of 99.9% has been achieved both using Random Forest classifier and J48 decision tree.