Miracle-dz/UniFAR-FTUs huggingface dataset:
Role and Level of Engagement of Peer Researchers in Systematic Reviews: A Review Article

Aims: This article aims at examining the role of peer researchers in systematic reviews of sensitive topics. While there are articles on the participation of peer researchers in primary research, there are very few studies on their role in systematic reviews. This project asks three research questions: What role do refugee/immigrant peers play in the systematic literature reviews of collaborative research models? What are the effective models used for engaging peer researchers in conducting systematic reviews of literature? In what ways are peer researchers being used in systematic reviews? Study Design and Methodology: this is a review article. Ovid Medline, Embase, Scopus, CINAHL, and Web of Science databases were consulted to understand the extent, knowledge gap, and scope of this systematic literature review. The team developed Boolean operators with four keywords: (i) systematic review, (ii) role or contribution or participation or engagement, (iii) peer research or collaborative research, and (iv) participatory research. In total, 270 articles were found, from which 99 were duplicates, 164 articles were removed after checking their title and abstract, and seven articles were selected for full article review. Results: All seven articles were systematic reviews focusing on the involvement of peer researchers in the healthcare field and described succinctly the role of peer researchers in conducting systematic reviews. Of them, two articles described peers’ involvement during the systematic review's design, methodology, and analysis activities; however, the involvement of immigrants/refugees as peer researchers in systematic reviews was not available despite repeated intentional searches. There is no mention of engaging any refugee peers in research on refugee interest. Conclusion: Some studies show the benefits of involving peer researchers in a collaborative design. However, there is a scope for generating more evidence regarding the roles of refugee/immigrant peer-researchers in systematic reviews. From our practice, we recommend engaging at least two peers or 20% of the members of the research team for all levels of the research activity. The peer(s) need to have lived experience of the research of interest.
A Fiber Vibration Signal Recognition Method Based on CNN-CBAM-LSTM

By trying to solve the issue of identifying multiple types of intrusion vibration signals collected by distributed vibrating fiber optic sensors, this study investigates the signal identification and feature extraction of intrusion signals, and proposes an optical fiber vibration signal (OFVS) identification method based on deep learning. The external vibration signal is collected by the Sagnac fiber optic interferometer, and then denoised by spectral subtraction. Endpoint detection is carried out by combining the short-time logarithmic energy method and the spectral entropy method. Finally, the equal-length signal containing valid information is intercepted and the corresponding preprocessing is carried out. The method for feature processing incorporates the strong feature learning capability of the long-short-term memory (LSTM) and the great short-term feature extraction capability of the convolutional neural network (CNN). At the same time, to further enhance the signal feature identification, a convolutional block attention module (CBAM) is introduced to perform adaptive feature refinement on the signal. In summary, a network model combining CNN, LSTM, and CBAM is proposed to process the signal features, and finally, the multi-layer perceptron (MLP) is used to complete the task of classification and recognition of multi-type intrusion signals. The experimental findings indicate that the OFVS method of CNN-CBAM-LSTM can effectively identify four kinds of OFVS, and the overall average recognition accuracy reaches 97.9%. Walking and knocking signals among them are recognized with over 99% accuracy.
Impacts of a Workplace-Based Weight-Control Intervention on Objective and Perceived Physical Activity among a Subgroup of Workers

Physical activity (PA) has many benefits; however, groups facing barriers to health-promoting behaviors are less likely to be physically active. This may be addressed through workplace interventions. The current study employs objective (accelerometry) and perceived (International Physical Activity Questionnaire [IPAQ]) measures of PA among a subset of participants from the “Working for You” study, which tests a multi-level (work group and individual) workplace intervention targeted at workers with low-incomes. Linear mixed and hierarchical logistic regression models are used to determine the intervention’s impact on moderate- to vigorous-PA (MVPA) and achieving the PA Guideline for Americans (≥150 minutes MVPA/week), respectively from baseline to 6- and 24-months, relative to a control group. Correlations (Spearman Rho) between perceived and objective PA are assessed. Of the 140 workers (69 control, 71 intervention) in the sub-study, 131 (94%) have valid data at baseline, 88 (63%) at 6-months, and 77 (55%) at 24-months. Changes in MVPA are not significantly different among intervention relative to control participants assessed by accelerometer or IPAQ at 6- or 24-months follow-up. The percent achieving the PA Guideline for Americans does not vary by treatment group by any measure at any time point (e.g., baseline accelerometry: [control: n=37 (57%); intervention: n=35 (53%)]). This study identifies limited agreement (correlation range: 0.04 to 0.42, all p>.05) between perceived and objective measures. Results suggest the intervention did not improve PA among the sub-study participants. Though agreement between objective and perceived MVPA is low, similar conclusions regarding intervention effectiveness are drawn. Trial registration: ClinicalTrials.gov: NCT02934113
BTO-Coupled CIGS Solar Cells with High Performances

In order to improve the power conversion efficiency (PCE) of Cu(In,Ga)Se2 (CIGS) solar cells, a BaTiO3 (BTO) layer was inserted into the Cu(In,Ga)Se2. The performances of the BTO-coupled CIGS solar cells with structures of Mo/CIGS/CdS/i-ZnO/AZO, Mo/BTO/CIGS/CdS/i-ZnO/AZO, Mo/CIGS/BTO/CdS/i-ZnO/AZO, Mo/CIGS/CdS/BTO/i-ZnO/AZO, Mo/CIGS/BTO/i-ZnO/AZO, Mo/CIGS/CdS/BTO/AZO, and Mo/ CIGS/CdS(5 nm)/BTO(5 nm)/i-ZnO/AZO were systematically studied via the SCAPS-1D software. It was found that the power conversion efficiency (PCE) of a BTO-coupled CIGS solar cell with a device configuration of Mo/CIGS/CdS/BTO/AZO was 24.53%, and its open-circuit voltage was 931.70 mV. The working mechanism for the BTO-coupled CIGS solar cells with different device structures was proposed. Our results provide a novel strategy for improving the PCE of solar cells by combining a ferroelectric material into the p-n junction materials.
Diplomacy and The Birth of Islamic Finance As An Alternative Financing Source for The Global South

2022, Abstract Islamic finance (IF) is the latest form of international financial system that emerged to offer an alternative source of financing development particularly among some countries in the global South. The aim of this article is to explore the role of diplomacy in the emergence of IF as an alternative financing source particularly for the global South. This article argues that IF was born out of diplomatic process, like its counterpart the Bretton Woods system. It further argues that, to understand the emergence and the forces behind the emergence of Islamic financial system, there is need to look at the context of the notion of South-South Cooperation that was conceived in 1950s and gained momentum in 1960s. The notion of South-South Cooperation showed to the Muslim world the possibility of creating a new financial system that began with the formation of the Organization of Islamic Conference (OIC) in 1969, the establishment of Islamic Development Bank (IDB) in 1973 and consolidated with the Mecca Conference in 1976. This article concludes that although international financial systems are always the product of diplomacy, however, the nexus between the two has been overlooked by researchers. It, therefore, recommends that future studies examine this relationship in an in-depth manner.
Coagulase-negative staphylococci isolates from blood cultures of newborns in a tertiary hospital in southern Brazil

Neonatal sepsis continues to be a major cause of morbidity and mortality worldwide. Coagulase-negative staphylococci (CoNS), commonly found on the skin, being the main agents isolated. The aim of this study was to evaluate CoNS isolated from blood cultures of newborn (NB) infants. The study took place between 2014 and 2016/2017 in a tertiary hospital in southern Brazil. Using the VITEK 2 system (bioMérieux, Marcy l’Etoile, France), the microorganisms were identified and had their sensitivity profiles determined. The minimum inhibitory concentrations of linezolid, tigecycline, and vancomycin were also determined. The clinical parameters and mortality rates of NBs were evaluated. From January to December 2014, 176 CoNS isolates were obtained from 131 patients and from June 2016 to July 2017, 120 CoNS isolates were obtained from 79 patients. Staphylococcus epidermidis was most prevalent in both periods. Resistance rates increased between 2014 and 2016/2017, especially against ciprofloxacin (52.27% and 73.11%, p = 0.0004), erythromycin (51.40% and 68.07%, p = 0.0054), gentamicin (50.59% and 67.23%, p = 0.0052), and penicillin (71.3% and 99.17%, p = 0.0001), respectively. With 100% susceptibility to linezolid, tigecycline, and vancomycin in both periods and methodologies tested. In 2014, 53.44% of the NBs received antibiotic therapy, and of these, 77.14% used a catheter; in 2016/2017, these were 78.48% and 95.16%, respectively. Regarding laboratory tests, a hemogram was ineffective, since patients with sepsis presented normal reference values. In 2014 and 2016/17, 15.71% and 17.74% of the NBs died, respectively. S. epidermidis was the predominant microorganism, related to catheter use in most cases. The resistance rates have increased over time, demonstrating the importance of adopting control and prevention measures in this hospital. CoNS are responsible for a significant neonatal sepsis mortality rate in infants
Developing a Competency-Based Model in Relation to the Training Needs of Adult Learners

The aim of the paper is to develop an innovative model of learners ' skills from the perspective of adult education. Several categories of skills are involved, as a result of the current holistic approaches in the field of adult education, as well as in connection with the current requirements of society. At the core of the model are several categories of skills, such as communication, scientific, intercultural, entrepreneurial, social and digital. Each type of competence provides the adult learner with the knowledge, skills, values and behaviors to determine professional success. The novelty of the work results from the determination of the categories of skills in accordance with the training needs of adult learners, which ensures their optimal integration in the socio-professional level.
Spherical neutron polarimetry (SNP) study of magneto-electric coupling in the multiferroic MnWO4

The electric-field dependence of the magnetic structure of multiferroic MnWO4 has been directly investigated using spherical neutron polarimetry as a function of temperature. The application of an electric field is shown to drive the magnetic structure to a single `chiral' domain. The magnitude of the electric field required to do this is shown to increase upon cooling. The coupling between the magnetic order and electric polarization is further demonstrated.
Diversity and composition of ant species in different urban areas in Bogor, West Java, Indonesia

Abstract. Harahap IS, Asnan TAW, Widayanti S, Widhiastuti H. 2022. Diversity and composition of ant species in different urban areas in Bogor, West Java, Indonesia. Biodiversitas 23: 4090-4096. Land use change, from natural to urban areas, is a threat to biodiversity because the disturbance created by human can destroy the habitat and decrease species richness. Ant is one of the most abundant animals in tropical habitats and most intrusive in an urban area. This research aims to determine the types of ants commonly found in various urban ecosystems in Bogor, West Java, Indonesia. Ant observation and sampling were carried out in Bogor City Areas at four different urban ecosystems, i.e., office area, shopping mall, housing area, and bus station. At each sampling location, ten observation plots were taken under different environmental conditions. Sampling was carried out for 6 months, from April to October 2021 with the direct collection and trapping method. The sample was then carried out to the laboratory for identification and data analysis process. The results of the species inventory obtained 7532 individuals and 28 species from 4 subfamilies, namely Dolichoderinae, Formicinae, Myrmicinae, and Ponerinae. The diversity of ant species at each location showed that the ant species in the bus station were not significantly different from the mall area. However, the diversity of ant species in three locations, namely bus stations, malls, and housing estates, showed significant differences with the diversity of ant species in office habitats. Anoplolepis gracilipes which is an invasive tramp species, is one type of ant found in all sampling locations with a relatively high abundance.
Connecting Cultural Knowledge with Western-Based School Science: Experiences of Marginalized Students

This study focuses on interactive, creative, collaborative, and inclusive science teaching environments both in school and at home to create and extend multicultural science knowledge based on the experience of culturally marginalized students toward science learning. This case study explored the knowledge construction system of students. Two culturally and economically marginalized students of a public secondary school located at Gorkha Municipality were purposively selected. To collect information in-depth interview was taken with two students jointly, and classroom teaching activities were observed and noted in the diary. The transcription of interviews and field notes taken from the classroom observation were coded, categorized and three global themes were identified. Based on global themes, the data were analyzed according to the view of participants compared to the culturally relevant pedagogy and cultural theories. The selected students were not satisfied with their teacher’s teaching strategies. The study found that culturally relevant science teaching is mainly affected by pedagogical, environmental, and strategic problems. Teachers and the school culture are seen as the main problem in implementing and braiding culturally relevant science teaching in the multicultural classroom. Science teacher is found to fail to link modern science teaching with community knowledge of culturally and economically marginalized students. Underestimating the other cultural students’ participation and teachers’ voices in science teaching is the limitation of this study.
Convolutional Neural Networks for Biometrics Applications

A convolutional neural network (CNN) is a feed-forward neural network that can react with other units in a specific range and can handle huge images well as a deep learning algorithm. CNN is a very convenient tool for conveying visual information and can be good for improving recognition accuracy. However, volumetric neural networks also increase the complexity of the networks, making them more challenging to optimize and more prone to overfitting. This paper will focus on the history of CNN development and the current use of the method, and the difficulties encountered. Furthermore, we will analyze its application in bioinformatics by discussing the papers published in the field about CNN. After the CNN was invented by Leon O. Chua and Lee Yang in 1988, researchers transformed a neural network into a CPU with thousands of cores. Improvements to the CNN in recent years have been made in six main parts: convolutional layer, pooling layer, activation function, loss function, regularization, and optimization, which have reduced the redundancy of the CNN and allowed it to process faster and more accurately processing. Nowadays, it is mainly used for image classification, text processing, video processing, etc. Above all, this paper realizes that CNN has excellent advantages in feature extraction and can play a huge role in dealing with eye biometrics, flower recognition, etc.
A Bidirectional Fast EV Charger for Wide Voltage Range Using Three-Level DAB Based on Current and Voltage Stress Optimization

Converter cost is the crucial concern while designing off-board electric vehicle (EV) chargers for high-voltage charging applications using advanced high breakover voltage power semiconductor switches. To solve this problem, multilevel topology is used with the typical dual active bridge (DAB) for the development of high-voltage and high-power EV charging. It offers low cost, compact, less complex control, highly efficient, and reliable development. This article presents the design and development of bidirectional off-board fast EV charger with voltage and current stress optimization for wide voltage range. It is designed with two-stage power conversion. Here, active front-end converter is connected to three phase grid and controlled through synchronous reference frame (SRF) d-q control approach for active rectification. The large range of power and voltage variation in off-board EV charger design makes it challenging to develop a controller that allows the converter to operate inside the zero voltage switching (ZVS) operating region. In this context, a detailed circuit analysis of dc–dc stage with dual phase shift (DPS) control under different operating conditions is presented to identify the coordinates of safe operating region with reduced voltage stress. To select the converter control parameters with optimum current stress in conjunction with reduced voltage stress, particle-swarm-optimization technique is applied to the identified operating regions. This provides a unique selection criterion for both control parameters over wide voltage conversion ratio. A coordinated control is designed based on the identified boundaries for easy implementation and less computation burden on microcontroller units (MCUs). A 7.2-kW system is designed and simulated on MATLAB/Simulink. A 3.3-kW laboratory prototype is designed to validate the identified operating points with wide battery voltage range under varying source and loading scenarios.
Concomitant Cytotoxic Effector Differentiation of CD4+ and CD8+ T Cells in Response to EBV-Infected B Cells

Simple Summary The Epstein–Barr virus (EBV) is a γ-herpes virus that primarily infects human B cells, and more than 90% of adults have experienced infection. EBV+ B cells express several viral proteins, transmitting signals important for the transformation and tumorigenesis of the infected B cells. Immune surveillance by the host immune system is important to suppress such abnormal expansion of EBV-infected B cells. Here we found that both CD4+ T cells and CD8+ T cells show similar gene expression patterns relating to cytotoxicity towards EBV-infected B cells. EBV-specific cytotoxic CD4+ T cells markedly expressed T-bet, Granzyme B, and Perforin alongside killing activity, which could reflect mechanisms shared with cytotoxic CD8+ T cells. Our findings support the concept that, upon EBV and perhaps other viral infections, T cells of different subsets can be drawn into common pathways mediating immune surveillance through cytotoxicity. Abstract Most people infected by EBV acquire specific immunity, which then controls latent infection throughout their life. Immune surveillance of EBV-infected cells by cytotoxic CD4+ T cells has been recognized; however, the molecular mechanism of generating cytotoxic effector T cells of the CD4+ subset remains poorly understood. Here we compared phenotypic features and the transcriptome of EBV-specific effector-memory CD4+ T cells and CD8+ T cells in mice and found that both T cell types show cytotoxicity and, to our surprise, widely similar gene expression patterns relating to cytotoxicity. Similar to cytotoxic CD8+ T cells, EBV-specific cytotoxic CD4+ T cells from human peripheral blood expressed T-bet, Granzyme B, and Perforin and upregulated the degranulation marker, CD107a, immediately after restimulation. Furthermore, T-bet expression in cytotoxic CD4+ T cells was highly correlated with Granzyme B and Perforin expression at the protein level. Thus, differentiation of EBV-specific cytotoxic CD4+ T cells is possibly controlled by mechanisms shared by cytotoxic CD8+ T cells. T-bet-mediated transcriptional regulation may explain the similarity of cytotoxic effector differentiation between CD4+ T cells and CD8+ T cells, implicating that this differentiation pathway may be directed by environmental input rather than T cell subset.
On Optimization and Analysis of Enumerative Sphere Shaping for Short Blocklengths

Enumerative sphere shaping (ESS) has drawn considerable attention in recent years, yielding a practical solution for the application of probabilistic shaping in the short-blocklength regime. However, ESS suffers from some energy-efficiency degradation for binary transmission, because it orders sequences lexicographically. In this work, we propose the optimum ESS (OESS), as an optimized version of ESS, which can always achieve the lowest average energy at any blocklength. We conduct a comprehensive study on ESS and OESS in terms of energy efficiency, distribution, rate loss and practical performance. Moreover, we propose to use the reverse trellis to obtain the sequence energy distribution of ESS and OESS. Numerical analysis shows that OESS leads to better energy efficiency, as well as more Maxwell-Boltzmann-like distributions compared with ESS, yielding considerably lower rate loss. The effectiveness of OESS is verified by the Monte-Carlo simulation in the linear additive white Gaussian noise channel, and an experimental transmission in a single sideband discrete-Fourier-transform spread discrete multi-tone system. Compared with conventional constant composition distribution matcher, both ESS and OESS performs remarkably better for the short blocklengths. Moreover, OESS achieves observable gains over ESS for ultrashort blocklengths of 20 and 40.
Integrated STEM Education: A Content Analysis of Three STEM Education Research Journals

In this content analysis, the authors examined articles from three international STEM journals to highlight and indicate if there were any trends for iSTEM research from 2013 to 2018. Of the 296 articles analyzed in this content analysis, 41 investigated the integration of STEM disciplines. Findings revealed that integrated STEM (iSTEM) education research is often qualitative and occurs in the United States. This study also indicates an upward trend in the percentage of iSTEM education research from 2013 to 2018, and many of the articles focused on middle school students. A closer examination of the introductions, backgrounds, and literature reviews of the 41 articles revealed four explicit definitions for iSTEM education. Furthermore, STEM and Education were the most frequently used author keywords and ERIC descriptors.