Miracle-dz/UniFAR-FTUs huggingface dataset:
A bibliometric analysis of COVID-19 research published in nursing journals

Purpose: This bibliometric study investigated the current state of documents on coronavirus disease 2019 (COVID-19) published in nursing journals. The analysis focused on the description of most productive journals, institutions, and countries, as well as the characteristics of the documents. Methods: The publications analyzed in this study were retrieved from the Web of Science database with search keywords. The searches used to establish the study dataset were last updated on July 10, 2020. The inclusion criteria were relevant English-language publications in journals published in the Science Citation Index Expanded or Social Science Citation Index. Content analysis of original articles and reviews was done. Results: An analysis of 125 publications on COVID-19 from 48 journals showed that the most productive journal and country were the Journal of Clinical Nursing (n=18) and the USA (n=53), respectively. Original articles (n=27, 21.6%) and review papers (n=4, 3.2%) accounted for 24.8% of the articles, and the highest number of papers were found in early access (published ahead of print) (n=51, 40.8%) and Q1 journals (n=73, 58.4%). The content analysis found 10 data-based original articles or reviews, which dealt with the topics of nurse training (n=2), nurses' psychosocial status (n=2), nursing research methodology (n=1), nursing guidelines (n=4), and protection for nurses (n=1). Conclusion: This study presents the current situation of nursing research on COVID-19 based on an analysis of publications in nursing journals and provides meaningful information to nursing researchers and editorial board members. The number of data-based original articles on nursing related to COVID-19 remains low.
Draft Dimensional analysis of pore-water pressure response in a vegetated infinite slope

Complete List of Authors: Feng, Song; Fuzhou University, College of Civil Engineering; Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering Liu, Hong Wei; Fuzhou University, College of Environment and Resources; Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering Ng, C.W. W. ; the Hong Kong University of Science and Technology, Civil and environment l department
Study of chemical composition and mineral content of sun dried Azolla pinnata

In present study sun dried sample of Azolla pinnata was used for chemical composition analysis. The proximate composition, fibre fractions of cell wall constituents and minerals composition were estimated by standard methods. The proximate composition and cell wall constituent and trace minerals (Cu, Zn, Mn and Fe) of sun dried Azolla were estimated by standard methods. Dry matter, Crude protein, Organic matter, Eather extract and Total ash were 90.00±0.77, 22.05±0.72, 81.05±0.44, 3.25±0.76 and 18.94±0.31. The NDF, ADF, hemicellulose, lignin and cellulose content were 48.25±0.48, 37.14±0.11, 11.11±0.29, 8.07±0.25 and 28.87±0.64. The Zn (ppm), Cu (ppm), Mn (ppm), Fe (ppm) and Ca (%) was 30.02±2.39, 26.29±1.41, 348.17±7.26, 533.12±96.56 and 0.33± 0.03.
Design and Validation of the GA-based Sliding Mode Controller for a Two Degree-of-Freedom Translational Optical Image Stabilizer in Image Sensors

— This study proposes a genetic algorithm (GA) based sliding mode controller (SMC) for two degree-of-freedom (DOF) translational optical image stabilizer (OIS) of cell cameras installed in the mobile phone. Hand tremors vibrates the lens holder to causes the photographed object projected on different pixels of the image sensor while shooting a picture. The OIS can stabilize the lens holder and efficiently improve the blurring image. The OIS controls a two-DOF translational stage actuated by voice coil motors (VCMs) to stabilize the lens holder for up to four directions of involuntary vibrations. This study includes three main parts: (1) mechanism analysis, (2) establishments of the dynamic equation of motions (EOMs) of the two-DOF translational mechanism, and (3) designs and realizations of a sliding mode controller optimized by genetic algorithm. The first part shows the OIS four-parallel-wire suspension mechanism providing the two-DOF planar movement for the lens holder and magnets offering electro-magnetic force for actuation. In the second part, based on the Lagrange’s laws, the dynamics EOMs are derived and analyzed through considering kinetic and potential energy. The last parts include a GA-based SMC is designed to control the lens holder based on EOMs and associated simulations are conducted. According to the simulations, The GA-based SMC is forged and tested by a real-time system integrating a field programmable gate array (FPGA) module. The controllers containing the derived system is built up for anti-shake mechanism. After a series of experiments and verifications, the designed OIS can reduce the vibrations within 5-8 in 0.05 seconds. The setting time of experimental results are much less than 0.1 seconds of the previously report and the residual vibration is smaller than the pixel size of the most commercial image sensor. Thus, the prototype of the novel OIS is finally accomplished with satisfactory performance of vibration reduction.
A Stacked Ensemble Framework for Detecting Malicious Insiders

One of the mainstream strategies identified for detecting Malicious Insider Threat (MIT) is building stacking ensemble Machine Learning (ML) models to reveal malevolent insider activities through anomalies in user activities. However, most anomalies found by these learning models were not malicious because MIT was treated as a single entity, whereas there are various forms of this threat with their own distinct signature. To address this deficiency, this study focused on designing a stacked ensemble framework for detecting malicious insider threat which utilizes a one scenario per algorithm strategy. A model that can be used to test the framework was proposed.
Axisymmetric flows on the torus geometry – Supplementary Material ( SM ) –

In this section, the numerical method employed in this paper is described. In Subsec. SM:1.1, the governing equations are written collectively, in a manner suitable for the implementation of the flux vector splitting (FVS) method (Toro 2009). The time-stepping algorithm, described in Subsec. SM:1.2, is based on the explicit third order total variation diminishing (TVD) Runge-Kutta (RK-3) algorithm introduced by Shu & Osher (1988). The details concerning the implementation of the advection, which is performed using the fifth-order weighted essentially non-oscillatory (WENO-5) scheme (Jiang & Shu 1996), are given in Subsec. SM:1.3. The details concerning the implementation of the FVS (the Jacobian matrix, its eigenvectors and its eigenvalues) are also presented therein. Finally, Subsec. SM:1.4 discusses the implementation of the source terms. The numerical scheme presented herein is benchmarked against the flows discussed in Sections 3, 4 and 5 of the main text in Appendix A (also in the main text).
The Permanent Income Hypothesis: Evidence from Ghana

This study aims to test the validity of the PIH for Ghana using aggregate annual data of GDP per capita and household consumption expenditure per capita from 1971 to 2017. The data used were taken from UN statistics. The PIH holds that the income a consumer expects to persist throughout his or her life is what determines their consumption. Earlier studies have shown that the PIH implies the magnitude of the revision in permanent income arising from innovation in the income process is proportional to the magnitude of the revision in consumption arising from the same innovation. This study tests this implication. Innovation in the income process here is the part of the income process that could not be forecasted. The study generates the innovation in the income process by estimating an ARMA model for income and then estimates a consumption equation by OLS using the consumption variable and the generated innovation in income variable. The study finds that the magnitude of the revision in permanent income arising from the innovation in income is larger than the magnitude of the revision in consumption resulting from the same innovation. This implies consumption response to changes in income is smaller than what the PIH predicts. This result is taken as evidence that the PIH does not hold for Ghana.
Facile engineering of silk fibroin capped AuPt bimetallic nanozyme responsive to tumor microenvironmental factors for enhanced nanocatalytic therapy

Background: Reactive oxygen species (ROS), as a category of highly reactive molecules, are attractive for eliminating tumor cells in situ. However, the intrinsic tumor microenvironment (TME) always compromises treatment efficacy. In another aspect, silk fibroin (SF), as a category of natural biomacromolecules, is highly promising for synthesis of metallic nanocrystals via biomineralization. Methods: As a proof-of-concept study, AuPt bimetallic nanozyme derived from bioinspired crystallization of chloroauric acid and chloroplatinic acid was facilely developed in the presence of silk fibroin (SF). Antitumor effects caused by the as-synthesized AuPt@SF (APS) nanozyme were demonstrated in 4T1 tumor cells in vitro and xenograft tumor models in vivo. Results: APS nanozyme can decompose glucose to constantly supply H2O2 and deplete intracellular glutathione (GSH). APS nanozyme can simultaneously convert adsorbed O2 and endogenic H2O2 into superoxide radicals (•O2-) and hydroxyl radical (•OH), respectively, upon highly efficient catalytic reaction. Subsequently, these cytotoxic ROS cause irreversible damage to the cell membrane, nucleic acid and mitochondria of tumors. Upon fluorescence/photoacoustic (FL/PA)-imaging guidance, remarkable tumor damage based on the current nanoplatform was confirmed in vivo. Conclusion: The objective of our investigation is to supply more useful insights on the development of SF-based nanocatalysts, which are specifically responsive to TME for extremely efficient tumor theranostics.
Reconstructing Reflection Maps Using a Stacked-CNN for Mixed Reality Rendering

Corresponding lighting and reflectance between real and virtual objects is important for spatial presence in augmented and mixed reality (AR and MR) applications. We present a method to reconstruct real-world environmental lighting, encoded as a reflection map (RM), from a conventional photograph. To achieve this, we propose a stacked convolutional neural network (SCNN) that predicts high dynamic range (HDR) 360<inline-formula><tex-math notation="LaTeX">${}^\circ$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mo>∘</mml:mo></mml:msup></mml:math><inline-graphic xlink:href="chalmers-ieq1-3001917.gif"/></alternatives></inline-formula> RMs with varying roughness from a limited field of view, low dynamic range photograph. The SCNN is progressively trained from high to low roughness to predict RMs at varying roughness levels, where each roughness level corresponds to a virtual object’s roughness (from diffuse to glossy) for rendering. The predicted RM provides high-fidelity rendering of virtual objects to match with the background photograph. We illustrate the use of our method with indoor and outdoor scenes trained on separate indoor/outdoor SCNNs showing plausible rendering and composition of virtual objects in AR/MR. We show that our method has improved quality over previous methods with a comparative user study and error metrics.
Testing the light acclimatization potential of Chrysalidocarpus lutescens Wendl

This experiment was conducted to evaluate the interior performance of Chrysalidocarpus lutescens grown for 8 months under 481,820, and 1241 μmol. m -2 . s -1 and fertilized weekly with a 20N-4.7P-16.6K soluble fertilizer at 440, 880, and 1660 mg/pot. Afterwards, plants were placed indoors and maintained at 20 μmol. m -2 . s -1 for 12 h daily at 21±1C and a relative humidity of 50%±5% for 3 months. At the end of the production phase, light compensation point (LCP) varied from 243 μmol. m -2 . s -1 at the high irradiance level to 140 μmol. m -2 . s -1 at the lowest one. Chlorophyll concentration in the leaves was not affected by irradiance or fertilizer rate. Starch concentration in stems and roots were higher the lower the fertilizer rate applied during production and the higher the irradiance level. After 3 months indoors, LCP declined for all the treatments, but the lowest LCP reached, 126 μmol. m -2 . s -1 , was still too high if the plant has to survive an interior environment. After the interior holding period, a 45 % to 55 % reduction was observed on leaf, stem, and root soluble sugar concentrations, and stem and root starch concentrations decreased by 97%, and 62% to 72%, respectively, compared to the concentration at the end of production. The number of fronds increased in all treatments during the postproduction evaluation. However, the drastic carbohydrate concentration depletion during the interior holding period indicates that C. lutescens is not a species for extended use under very low interior light conditions.
Efficacy of Modified Vavoua and Nzi Traps in the Capture of Stable Flies: A Preliminary Field Trial in Cameroon

There is need for a simple, cheap and efficient collection and control tool for the different stable fly-species in hyperinfested foci. The efficacy of a modified unbaited Vavoua trap (MVT) was compared with an unbaited Nzi as a standard. Each trap type was set either inside or outside the cattle overnight pen with rotation taking place after four days for eight days in September 2018 in Ngaoundere. Fly collection was made every 24 hours and sorted using standard identification keys. In total, 2105 hematophagous flies were caught and constituted of 1417 S. niger niger (89 S.n/t/d), 124 S. calcitrans (8 S.c/t/d), 562 Musca spp. (25 m/t/d) and 2 Chrysops distinctipennis (0.1 Cd/t/d). The overall mean catches with the MVT (50.96 ± 57.16) was higher than with the Nzi (27.43 ± 27.73), with no statistically significant difference (t=0.9, df=46. 0, P=0.37). Higher mean catches were recorded outside the overnight cattle pen (47.79 ± 55.27) than inside (39.83 ± 55.40) with no statistically significant difference (t=0.5, df=46.0, P=0.62). Stable flies and tabanids were highly caught outside the overnight stable, while Musca spp. were highly caught inside. In conclusion, the MVT had similar efficacy and specificity as Nzi and can serve as a simple and efficient tool for the survey and control of stable flies in the Adamawa plateau and elsewhere.
In vitro cytocompatibility assessment of nitrogen doped graphene oxide gold (N2-GO-Au) nanohybrid in caprine wharton’s jelly derived mesenchymal stem cells (WJ-MSCs) and erythrocytes

Nanomaterials are applied in stem cell culture and in vivo transplantation as well as tracking and in this study nitrogen doped graphene oxide gold (N2-GO-Au) nanohybrid dose dependent (100, 50, 25, 10 and 0 μg/ml) in vitro cytocompatibility was analysed in caprine Wharton’s jelly derived mesenchymal stem cells (WJ-MSCs) and erythrocytes. Caprine WJ-MSCs were grew in colonies and exhibited fibroblastic morphology. N2-GO-Au nanohybrid was greatly disturbed cell morphology, significantly (P< 0.01) decreased viability and proliferation rate and significantly (P< 0.05) increased population doubling time (PDT) at 100 and 50 μg/ml doses, but unchanged cell morphology and significantly (P< 0.01) increased viability and proliferation rate was observed at 25 and 10 μg/ml doses as compared to control. However, N2-GO-Au nanohybrid did not alter cell PDT and growth characteristics at 25 and 10 μg/ml doses and significantly (P< 0.05) declined growth was observed at 100 and 50 μg/ml doses as compared control and N2-GO-Au nanohybrid did not hemolysed caprine erythrocytes. In conclusion, N2-GO-Au nanohybrid was cytocompatible at 25 and 10 μg/ml doses and cytotoxic at 100 and 50 μg/ml doses in caprine WJ-MSCs alongwith no hemolytic effect on erythrocytes.
Learning Management Strategy of Communication Studies through Blended Learning in Higher Education

This study aims to identify learning management strategies on communication studies through Blended Learning in Higher Education. This study uses a quasi-experimental method with a non-equivalent control group research design. This design uses two groups, namely the experimental group and the control group. Data collection was conducted with 82 Communication Studies students in 2019, Faculty of Social Sciences, Jakarta State University. Researchers also work with ethics communication lecturers and new media lecturers. The results of this study indicate that blended learning can increase students' knowledge of ethical communication. The average pretest value of the experimental class was 55.93, and the posttest value was 81.85. The average N-Gain in both the experimental class and the control class falls into the medium category. The average results of the N-Gain experimental class were higher at 0.56 compared to the control class at 0.36. Student learning attitudes in handling hoaxes get an average value of 2.99 while the control class is only 2.61. Although both of them have proper criteria, blended learning can also encourage participants to make the best use of face-to-face contact in developing knowledge. Thus, students are able to identify hoax news and implement it by providing information through social media to the public. The implications of this study provide convenience for lecturers in conducting learning strategies on learning ethical communication and new media for handling hoaxes.
Thermochemical Processing of Biomass: Graphic User Interface Models for Costing and Material Balances Calculations

This paper presents models for the calculations of the costs involved and the general material balances during the conversion of the biomass into the final products. These models deal primarily with the conversion processes through thermochemical processing of biomass including gasification, combustion and pyrolysis. The models were developed in the MATLAB environment, all with Graphic User Interface (GUI), meaning that they interact with the user through windows and dialogs instead of through user-input commands. The user only needs to insert values in the model inputs and click a button or two, and the models will be able to generate the results. The developed models can save time and cost to understand and design biomass utilizing systems that deal with thermochemical routes. Keywords— Graphic User Interface Model; biomass; bio-products; combustion; gasification; pyrolysis
New Record of Gadella jordani and Redescription of Physiculus japonicus (Pisces: Moridae) in Korea

We describe the morphological characteristics of two morids, Gadella jordani and Physiculus japonicus, belonging to the order Gadiformes, based on Korean specimens collected from the Korean ocean. Two specimens of Gadella jordani was first collected from Jeju Island, Korea and the East Sea, Korea, in 2013-2014. This species is characterized by 8, 67-69 dorsal fin rays, 66-71 anal fin rays, 5+13 gill rakers, no barbel on the lower jaw, no vomerine teeth, and a ventral luminous organ closer to the anus than to the interventral line. We described it as the first record to the Korean fish fauna, and proposed the new Korean name “Min-su-yeom-dae-gu-sok” for the genus Gadella, and “Min-su-yeom-dae-gu” for the species G. jordani. Physiculus japonicus was first reported by Koh and Moon in the year 1999 based on a single specimen in Korea. However, no study has been attempted to describe the morphological characteristics in Korea since then. In 2013-2014, three specimens of P. japonicus was collected from Jeju Island, Korea and the East Sea, Korea, and we redescribe P. japonicus in detail. This species is characterized by 9-10, 63-64 dorsal fin rays, 70-73 anal fin rays, 3+7-8 gill rakers, a short barbel on the lower jaw, and a ventral luminous organ equidistant between the interventral line and the anus.
A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities

Generally, the emergence of Internet of Things enabled applications inspired the world during the last few years, providing state-of-the-art and novel-based solutions for different problems. This evolutionary field is mainly lead by wireless sensor network, radio frequency identification, and smart mobile technologies. Among others, the IoT plays a key role in the form of smart medical devices and wearables, with the ability to collect varied and longitudinal patient-generated health data, and at the same time also offering preliminary diagnosis options. In terms of efforts made for helping the patients using IoT-based solutions, experts exploit capabilities of the machine learning algorithms to provide efficient solutions in hemorrhage diagnosis. To reduce the death rates and propose accurate treatment, this paper presents a smart IoT-based application using machine learning algorithms for the human brain hemorrhage diagnosis. Based on the computerized tomography scan images for intracranial dataset, the support vector machine and feedforward neural network have been applied for the classification purposes. Overall, classification results of 80.67% and 86.7% are calculated for the support vector machine and feedforward neural network, respectively. It is concluded from the resultant analysis that the feedforward neural network outperforms in classifying intracranial images. The output generated from the classification tool gives information about the type of brain hemorrhage that ultimately helps in validating expert’s diagnosis and is treated as a learning tool for trainee radiologists to minimize the errors in the available systems.
DIVERSITY OF CYANOBACTERIA FROM SOME SELECTED TERRESTRIAL AND AQUATIC HABITATS IN HIGH ALTITUDES OF UTTARAKHAND, INDIA

Cyanobacteria, as most primitive life forms on earth, have minimal nutrient requirement but at present they reflect very diverse morphology by inhabiting diverse habitats, and are enable to colonize almost every illuminated habitat on Earth such as aquatic, terrestrial, arctic deserts, hydrothermal hot springs and ice-cold habitats. During the course of present investigation, a total of seventeen species of cyanobacteria representing 15 genera, and belonging to 10 families and 4 orders, were isolated from the thirteen studied freshwater and terrestrial habitats, located in high altitude region (above 1500 m a.s.l.) of Uttarakhand.
INFLUENCE OF EXCAVATION TO THE TEMPERATURE CONDITION OF PERMAFROST

Permafrost is a very complex ground for foundation. Predicting the stability and reliability of constructions in a rapidly changing climate is impossible without predicting the temperature condition of permafrost soil. Stabilization of permafrost soils on local object is provided with a considerable margin, due to the use of ventilated cellar, thermopiles and monitoring systems. On linear objects such as pipelines, laying above the ground or the use of thermopiles is a very expensive engineering protection method. Therefore, the pipeline is laid underground with the use of ring insulation. Thawing of permafrost soils leads to significant uneven vertical deformations of the pipeline. Therefore, the accuracy of predicting the temperature of the permafrost is a priority problem. Underground pipeline laying is accompanied by excavation and backfilling of the soil. In this case, the structure of the soil is destroyed, the density is decreased and the water content is increased due to mixing with snow and penetrating of precipitation. The article presents the results of a numerical experiment of influence of excavation to the temperature condition of soil. Soil loosening and filling the empty pore by water significantly increases the average soil temperature of plastic frozen soil (the soil with annual average temperature in the interval of the most intense phase transformations). Thus, the stability of constructions is determined not only by their impact on the permafrost, but also by changing the structure of the soil during excavation.