Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating a Structured Online Peer Evaluation System Among Graduate-Level Communication Capstone Students Through Action Research

Although enrollment in online courses continues to accelerate, challenges exist in online learning. A failure to experience collaboration and interaction can impact student retention and success. While peer review activity promotes student interaction, a collaborative community of learners, and critical thinking skills, higher education environments have failed to equip students with the knowledge and tools to ensure adept participation. As students offered limited participation and low-quality engagement in routine online peer review activities, the purpose of this action research was to implement and evaluate the impact of a structured online peer evaluation system for Graduate Communication Capstone students at the University of North Coast Muscari (UNCM). This study incorporated a structured peer evaluation system, including an interactive educational technology peer review tool kit innovation. The theoretical framework of the innovation was aligned to learning theory and grounded in Vygotsky’s zone of proximal development, cognitive and mind tools, and Constructivist theory of cognitive apprenticeship. Data collection offered seven methods and data analysis included quantitative and qualitative approaches as part of a triangulation mixed methods design. Community of Inquiry (CoI) deductive analysis was performed to denote social and cognitive presences, while further validating the themes that had emerged through qualitative data analysis. As an impact of this research study, students used the structured peer evaluation system to transform anxiety into social and cognitive freedom, producing a focused, responsible approach to peer learning.
Covid-19 pandemic and school sporting activities in Ghana: The perceived impacts on students well-being

The Coronavirus pandemic has extremely affected various activities worldwide including school sports. Despite this, little has been done on the consequences of the cancellation of school sporting activities due to the pandemic on the well-being of students. The present study ascertained how cancellation of school sports due to the Covid-19 pandemic influenced the general well-being of students and suggested appropriate interventions to bring back school sports. The purposive sampling technique was used to collect data from Nineteen (19) Senior High School Student` athletes through semi-structured interviews. The data collection tool was created on seven themes: sports programmes, sedentary activities, impacts of the pandemic on sports, sports opportunities, impacts of sports on students` well-being, consequences, and measures to bring back school sports. Content analysis procedures were the main analytical technique. The findings revealed that students are faced with physical, psychological, emotional, economic, mental, and social health challenges. Consequently, students have gained weight, lost scholarship opportunities and friends, and go through fear and anxiety. Therefore, appropriate measures and directives such as; reduction in the number of spectators at stadiums, fumigation of stadiums, vaccination of students, and testing and quarantine are recommended to be followed to help bring back the school sports.
Insights into the genome sequence of the glyphosate-degrading bacterium Enterobacter sp. Bisph1

Abstract. Benserradj O, Benslama O, Ghorri S. 2021. Insights into the genome sequence of the glyphosate-degrading bacterium Enterobacter sp. Bisph1. Biodiversitas 23: 817-882. Glyphosate is by far the most extensively utilized herbicide in the world, and because of its negative effects on the environment and animal health, finding microorganisms with the ability to degrade this herbicide is one of the scientists’ top priorities. Enterobacter sp. Bisph1 was isolated during prospecting glyphosate-degrading bacteria from a sandy soil of the region of Biskra in Algeria. To better understand the involvement of this strain in the degradation of glyphosate, a sequencing of the 4.5 MB genome of Enterobacter sp. Bisph1, as well as an annotation, and analysis of its genome sequence were performed in this study. Genomic DNA was sequenced on a MiSeq sequencer llumina using paired-end sequencing with the Nextera XT protocol. The genome of strain Enterobacter sp. Bisph1 comprises one chromosome of 4,578,487 bp with a GC content of 53.6%. Its 4,330 genes (78.13%) were assigned a putative function. The genome contains two intact phages and no CRISPR was found. The genome inspection also revealed the presence of the carbon-to-phosphorus (C-P) bond lyase coding genes clusters that consists of eight genes phnFHIJKLMP. The draft genome of the Enterobacter sp. Bisph1 provides insight into the role of this strain as an important agent of bioremediation of glyphosate by examining the genes known to encode the biodegradation enzymes of this herbicide. The sequencing of the genome of Bisph1 allows a better understanding of the taxonomy of this strain within the Enterobacteriaceae family.
A Motif-Based Network Analysis of Regulatory Patterns in Doxorubicin Effects on Treating Breast Cancer, a Systems Biology Study

Background: Breast cancer is the most common malignancy worldwide. Doxorubicin is an anthracycline used to treat breast cancer as the first treatment choice. Nevertheless, the molecular mechanisms underlying the response to Doxorubicin and its side effects are not comprehensively understood so far. We used systems biology and bioinformatics methods to identify essential genes and molecular mechanisms behind the body response to Doxorubicin and its side effects in breast cancer patients. Methods: Omics data were extracted and analyzed to construct the protein-protein interaction and gene regulatory networks. Network analysis was performed to identify hubs, bottlenecks, clusters, and regulatory motifs to evaluate crucial genes and molecular mechanisms behind the body response to Doxorubicin and its side effects. Results: Analyzing the constructed PPI and gene-TF-miRNA regulatory network showed that MCM3, MCM10, and TP53 are key hub-bottlenecks and seed proteins. Enrichment analysis also revealed cell cycle, TP53 signaling, Forkhead box O (FoxO) signaling, and viral carcinogenesis as essential pathways in response to this drug. Besides, SNARE interactions in vesicular transport and neurotrophin signaling were identified as pathways related to the side effects of Doxorubicin. The apoptosis induction, DNA repair, invasion inhibition, metastasis, and DNA replication are suggested as critical molecular mechanisms underlying Doxorubicin anti-cancer effect. SNARE interactions in vesicular transport and neurotrophin signaling and FoxO signaling pathways in glucose metabolism are probably the mechanisms responsible for side effects of Doxorubicin. Conclusion: Following our model validation using the existing experimental data, we recommend our other newly predicted biomarkers and pathways as possible molecular mechanisms and side effects underlying the response to Doxorubicin in breast cancer requiring further investigations.
Domestic confinement crisis and its un-intensifying effect on service quality expectations towards e-stores: the case of the COVID-19 pandemic in Mexico

ABSTRACT Certain factors may exert un-intensifying effects on service performance expectations. In the pandemic crisis era of domestic confinement, as consumer shopping at physical stores is restricted, e-stores have become a useful source of goods. It is proposed that such a confinement crisis, as an extreme situational factor, can have a mitigating effect on the expectation level of service performance of e-stores. Hence, it is hypothesised that consumers may become more forgiving with e-suppliers, reporting a higher perceived performance under a confinement crisis than under normal social conditions. Two sets of data were compared for assessment, employing the same questionnaire to evaluate consumer opinions of service performance, brand perceptions, satisfaction, trust and intentions of e-stores. One set of data was collected under normal conditions, prior to domestic confinement being imposed due to the COVID-19 pandemic in Mexico. The second set of data was collected during a high point of contagion of the COVID-19 emergency in Mexico. Results suggest that there are significant differences in some variables related to perceived service performance, brand perceptions and behavioural intentions between the two sets of data. Apparently, consumers tend to perceive, in some respects, a higher level of performance of e-stores under confinement conditions than under normal social conditions. This work aims to shed light on how such extreme situational factors can affect consumer expectations and perceptions.
Mini Review: Hyperthermia Treatment for Bone Cancers

Bone is one of the most common sites for metastasis. Approximately 350,000 people die in the United States every year from bone metastases [1]. The most common site of bone metastases is the axial skeleton, with the lumbar region being the most frequently impacted site [2]. Bone cancer can lead to bone pain, hypercalcemia, spinal cord compression and bone fracture, decreasing the quality of life of cancer patients [3]. The most common treatments for bone cancers are surgical resection, radiotherapy and chemotherapy. Hyperthermia is another type of cancer treatment that is generally used for advanced cancers, in combination with radiotherapy or chemotherapy. Clinical trials have shown that hyperthermia reduces the size of tumours, enhancing the effect of radiation or anticancer drugs [4]. Hyperthermia affects both molecular and cellular levels. Alterations to the cytoskeleton and the cell membrane, as well as impairment of protein, Ribonucleic Acid (RNA) and Deoxyribonucleic Acid (DNA) synthesis, inhibition of DNA repair enzymes, altered gene expression and protein denaturation, unfolding and aggregation [5-7] are all changes caused by hyperthermia.
Lunar Lander Concepts for Human Exploration

Conceptual-level Human Lunar lander design concepts are presented for missions utilizing a single launch of the NASA Ares-V and a single launch of the Ares-I launch vehicles. Single stage, twostage and drop tank lander configurations are discussed, as are methodologies for off-loading cargo to the surface. Results show how propellant, staging location, delta-velocity, crew habitat mass and other choices affect lander payload delivery capability. The results serve as preliminary technical contexts for on-going evaluations. Landing systems for nuclear surface power generation stations are also presented.
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China

ABSTRACT Lidar has been regarded as the most accurate data source for forest-growing stock volume (FGSV) estimation, but inconsistent acquisition dates of lidar data with field survey often result in poor FGSV estimation accuracy. Spaceborne stereo imagery is captured at regular intervals, providing new opportunities for mapping and updating FGSV spatial distributions. Digital Surface Model derived from spaceborne stereo imagery and Digital Terrain Model (DTM) derived from airborne lidar can be used together to produce a canopy height model (CHM) (LS-CHM), which can then be used to predict FGSV spatial distributions, but this methodology has yet to be explored. Our research attempts to compare the performance of LS-CHM and lidar-CHM (L-CHM) for FGSV modeling and to explore the advantages of using the hierarchical Bayesian approach (HBA) over traditional linear regression and random forest modeling approaches when sample size is small. Considering different forest types and topographical conditions, as well as the number of sample plots for each forest type, HBA is used to develop the FGSV estimation model, and the results are compared with those from linear regression and random forest approaches. The research results in a northern subtropical forest ecosystem indicate that overall, L-CHM provides better predictions than LS-CHM using the same modeling approaches, and L-CHM is especially valuable when FGSV is small or large, but when FGSV falls within 100–200 m3/ha, LS-CHM–based variables produce better modeling accuracy than L-CHM–based variables using linear regression or HBA. The HBA based on stratification of both forest type and slope aspect provides the best FGSV estimation, using either L-CHM or LS-CHM, and solves the modeling problem due to limited sample sizes for forest types. Our research provides new insights to using the combination of satellite stereo images and lidar-derived DTM for mapping and updating FGSV in a large area.
Estimation Method of Copper Electroplating Current Density Distribution Using Measurement Data of Electric Potentials in Plating Bath

Copper electroplating is widely used for fabrications of Large-Scale Integration (LSI) besides other methods such as sputtering because of its excellent via/trench filling ability, good adhesion and lower process temperature and low cost. In the electroplating process, real-time estimating a growth rate of electroplating is essential. It is possible to estimate the growth rate of electroplating from the current density on the LSI wafer surface because the rate is mainly proportional to the current density. In this paper, a new monitoring method to estimate the LSI plating current density distribution from electric potentials in the plating bath is developed. The proposed method measures electric potentials at several points in the bath using capillaries, and estimates the current density on the LSI wafer surface by applying an inverse analysis method. In the inverse analysis, an observation equation is modeled by considering that the electric potentials in the bath obey the Laplace equation, which is solved by Bayesian estimation. In order to demonstrate the effectiveness of the proposed method, numerical simulations which involve measurement errors are performed for a sample polarization curve of Cu in CuSO4. The results show that this method could be applied to practical problems. In addition, using a priori information for the possible shape of the polarization curve, the estimate accuracy of the proposed method is shown to be improved.
Influence of Self-esteem and Preparation for Aging on the Happiness of Older Thai Adults: A Cross-sectional Study

Background: Happiness is necessary for older adults’ physical and psychological well-being. The objective of this study was to examine the associations of self-esteem and preparation for aging with happiness and to determine the predictive factors of the happiness of older Thai adults. Methods: The study had a cross-sectional predictive correlational design and included 225 older Thai adults aged 60–69 years selected using multi-stage random sampling. Data were collected through self-administered questionnaires, and the collected data were analyzed using frequency, percentage, Pearson’s product moment correlation coefficient, and multiple regression analysis. Results: The study results showed that 64.9% of the study participants were moderately happy. The factors that significantly influenced their happiness were self–esteem and preparation for aging (p < 0.05), meaning their self–esteem and preparation for aging were able to predict their happiness, accounting for approximately 67.0% of the variance of such happiness. Conclusion: Older adults’ healthcare providers should organize activities for enhancing older adults’ self-esteem and for helping them prepare well for old age.
Xanthan gum and sodium hypochlorite in vitro rooting of Gerbera hybrida cv. Essandre

The aim of this study was to check the use of the following gelling agents: the xanthan gum “Adicel®” and the stabilizer “Super Liga Neutra®” to replace agar in the in vitro rooting phase of Gerbera hybrida cv. Essandre. Additionally, the possibility of using chemical sterilization of both culture media and glassware with sodium hypochlorite to replace autoclaving was analyzed. The gelling agents, xanthan gum “Adicel®” and the stabilizer “Super Liga Neutra®” were tested at the following concentrations (g L-1): 7; 9; 11; 13; 15; 17; 19; and 21. No concentrations of Super Liga Neutra® provided effective solidification. Concentrations of 17 and 21 g of Adicel® provided a good gelling of the culture medium, which was compared to the medium containing agar (control) with two types of sterilization: autoclaving (for 20 and 40 minutes) and chemical sterilization. Autoclaving for 20 minutes did not provide effective elimination of contamination in the culture medium containing xanthan gum; this only occurred when autoclaving time increased to 40 minutes. Plant development in culture media containing 17 and 21 g of xanthan gum, either sterilized by autoclaving for 40 minutes or at a concentration of 17 g xanthan gum using sodium hypochlorite, was statistically the same as the control that contained agar. However, plant development at a concentration of 21g of xanthan gum in a sterilized medium using sodium hypochlorite was lower than that observed in media containing agar.
REVIEW OF INTELLIGENT MATERIALS AND THE POSSIBILITY OF THEIR USE IN ROCKET AND SPACE TECHNOLOGY

A new generation of materials – «intellectual» materials – is rapidly developing. Intelligent materials are materials that react in a certain way to changes in the state of the environment or the influence of force fields, vibrations or oscillations and radiation. This reaction results in the alterations of material properties, geometry and its adaptation to changes in operating conditions. Constructions are made of intelligent materials, in addition to the traditional functions of taking operational loads and ensuring load and strength, can provide self-monitoring, identification and localization of the fatigue damage. The material in such constructions can contain a set of electronics, built into the structure, which performs the function of receiving, processing and transmitting information in different frequency ranges. Intellectual material requirements are defined by the purpose and conditions of use of the structures and their components. The objective of this work is to give an overview of intellectual materials, in order to introduce the main information about their properties and their applicability in space and rocket technology. Furthermore, in this article data processing and analysis were carried out, which allowed to formalize the properties of the considered intellectual materials. Moreover, the application of intellectual materials can improve existing design schemes and elements or create entirely new design solutions in the future. For instance, the use of magnetostrictive materials allows to reduce the longitudinal oscillations of the launch vehicle on an active part of the trajectory along with absorbing vibrations and regulating the stringency of the stage separation. Structural analysis of the special properties of intellectual materials and their application not only will solve existing problems, but also enable further development of the space rocket industry.
The Use of Ubiquitous Computing/Computational Neuroscience for Distributed Battlefield Management

Military missions are increasingly contingent upon the ‘emergent qualities’ of distributed cognition. Cognition is situated and shared across multiple agents, objects, and environments. The total information surround is evolutionary, chaotic, and presents workers with ill-defined dilemmas that proliferate across geopolitical boundaries under stressed conditions. Crew members are bombarded with multiple constraints as they encounter automation, situational awareness, and information warfare. To address these concerns the use of computational neuroscience/ubiquitous computing technologies are described. Ubiquitous computing means that computing elements are not integrated in a single workstation but are ubiquitous; they are distributed as everyday objects in an operative work environment. When complemented with evolutionary computing technology, computer structures (cellular thoughtonoma) are designed to ‘genetically evolve’ through natural selection to be ‘fit’ with environmental, technological, and worker demands. This paper discusses the symbiosis underlying thoughtonomous technologies and describes possibilities to radically redefine intelligent interaction and collaboration.
Microbiome profiles of non-responding and responding paired periodontitis sites within the same participants following non-surgical treatment

ABSTRACT Aim Periodontitis is a site-specific, chronic disease treated by non-surgical debridement of subgingival plaque. We aimed to determine the microbiome of sites that did not respond to this treatment (NR) compared with paired good responding (GR) sites before and after treatment. Materials and methods In a longitudinal cohort study, clinical parameters of disease and biological samples were taken prior to and 3 months after treatment. Twelve NR sites from six participants were paired with GR sites within the same participant. Subgingival plaque samples were subjected to bacterial community analysis using 16S rRNA gene sequencing. Results There were no significant differences in clinical parameters and microbial communities at baseline between GR and NR sites. Bacterial communities in deep pockets were dominated by a small number of species, notably Porphyromonas gingivalis and Treponema denticola. In NR sites three months after treatment there was no significant change in bacterial composition whilst there was a collapse in the abundance of pathobionts in GR sites. Conclusion NR sites were not identifiable prior to treatment by clinical or microbiological parameters. Treatment failed to disrupt pathogenic bacterial community in NR sites. Targeted suppression of particular species should be considered to initiate community collapse and aid disease resolution.
A highly linear RF mixer using gate-all-around junctionless transistor

ABSTRACT In this paper, we investigate the performance of a radio-frequency (RF) mixer based on single-silicon nanowire gate-all-around (GAA) junctionless field-effect transistor (JLFET). The main novelty in this work is the achievement of high linearity of RF mixer using band-to-band tunnelling phenomenon of GAA-JLFET. Using technology computer-aided design (TCAD) simulations, we extracted the value of unity-gain cut-off frequency of 420 GHz, which shows its potential for circuit applications in the extremely high-frequency regime. The harmonic-balanced simulations in Agilent advanced design system tool with an emphasis on the device-circuit interaction are used to analyse the RF mixer performance, such as output spectrum, 1-dB compression point, and conversion gain in comparison with 32-nm conventional n-metal oxide semiconductor transistor.
A medical approach to the 2020 Elazig earthquake

Objective: Besides their direct effects, earthquakes may cause death by Crush syndrome and renal factors. In this study we aimed to evaluate the medical results of 2020 Elazig earthquake. Methods: We obtained the medical data from the National Medical Rescue Team (UMKE) and hospital records. Results: There were 1063 injured, 45 victims who were pulled out from the rubble and 41 deaths due to 2020 Elazig earthquake. Of the hospitalized patients 33% were treated with Crush/ compartment syndrome diagnosis. Conclusion: Catastrophic effects and collapsing buildings due to earthquakes, threat human life. In Elazig earthquake, none of the 48 hospitalized patients required dialysis probably due to early treatment and transfer to the hospital. Renal care and treatment such as fluid replacement, dialysis are as important as traumatological services in earthquakes in terms of increasing survival.