Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and characterisation of microwave processed SS2205 joints

ABSTRACT In this paper, selective microwave hybrid heating (SMHH) based microwave joining of SS2205 specimens has been performed. SS2205 specimens have been successfully joined through SMHH-based joining method without using any filler material at 300 seconds of exposure time. The exposure time of 300 seconds has been found through trial experiments using insulation brick of thickness 6.5 cm and refractory brick of thickness 3.1 cm. The cost of the joining process was significantly reduced due to the absence of filler material. The charcoal powder which is a microwave absorber was used to commence as well as stimulate the heating process. The charcoal powder was fed through the vertical cavity of diameter 8 mm over the joint region. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) tests have been carried out to examine the physical characteristics of the fabricated joints. The joints were also mechanically characterised through micro-hardness tests and tensile tests. Average microhardness at joint region was 410 HV, whereas microhardness of the original specimen was 252 HV. Average tensile strength and percent elongation of the joints was 223 MPa and 11.9%, respectively.
The Use of “Genotyping-by-Sequencing” to Recover Shared Genealogy in Genetically Diverse Eucalyptus Populations

The recovery of genealogy in both natural and captive populations is critical for any decision in the management of genetic resources. It allows for the estimation of genetic parameters such as heritability and genetic correlations, as well as defining an optimal mating design that maintains a large effective population size. We utilised “genotyping-by-sequencing” (GBS) in combination with bioinformatics tools developed specifically for GBS data to recover genetic relatedness, with a focus on parent-offspring relationships in a Eucalyptus nitens breeding population as well as recognition of individuals representing other Eucalyptus species and putative hybrids. We found a clear advantage on using tools specifically designed for data of highly variable sequencing quality when recovering genetic relatedness. The parent-offspring relatedness showed a significant response to data filtering from 0.05 to 0.3 when the standard approach (G1) was used, while it oscillated around 0.4 when the specifically designed method (G5) was implemented. Additionally, comparisons with commonly used tools demonstrated vulnerability of the relatedness estimates to incorrect imputation of missing data when shallow sequencing information and genetically distant individuals are present in the population. In turn, these biased imputed genotypes negatively affected the estimation of genetic relatedness between parents and offspring. Careful filtering for both genetic outliers and shallowly sequenced markers led to improvements in estimations of genetic relatedness. Alternatively, a method that avoided missing data imputation and took sequence depth into consideration improved the accuracy of parent-offspring relationship coefficients where sequencing data quality was highly variable.
Scents from the Brazilian Atlantic Forest Biome: chemical composition of essential oils from the leaves and flowers of seven species of Ipomoea (Convolvulaceae)

ABSTRACT Ipomoea alba, I. indica, I. amnicola, I. tiliacea, I. carnea, I. pes-caprae and I. batatas occur in fragments of the Atlantic Forest in the state of Pernambuco, Brazil. Essential oils from the leaves and flowers of these plants were analyzed using GC/FID and GC/MS. Ninety-one compounds were identified, accounting for more than 95% of the oils analyzed. Differences in the chemical profile were found among the Ipomoea oils. Greater chemical diversity was found in the leaf oils. β-Caryophyllene (leaves: 7.0 ± 0.6 to 42.1 ± 1.6%; flowers: 6.4 ± 0.8 to 36.5 ± 1.3%) was identified in abundance in all oils. cis-Cadina-1(6),4-diene was another sesquiterpene found in high percentages in the oils (11.8 ± 0.9 to 44.2 ± 1.7%), but was absent from the I. alba oils, in which the major constituent was germacrene D (leaves: 27.8 ± 1.0%; flowers: 45.8 ± 2.0%).
Antimicrobial Resistance Profile and Extended Spectrum Beta-Lactamase Resistance Genes in Escherichia coli from Poultry Droppings in Nasarawa, Nigeria

Aims: This study investigated the antimicrobial resistance profile and extended spectrum beta-lactamase resistance genes of Escherichia coli isolated from droppings of from selected poultry farms in Nasarawa, Nigeria. Study Design: Investigative Place and Duration of Study: Department of Microbiology, Nasarawa State University, Keffi, between November 2019 and February 2020. Methodology: A total of 90 samples from poultry droppings were collected from selected farms. Escherichia coli was isolated from the samples using standard cultural and microbiological methods. Antibiotic susceptibility testing and minimum inhibitory concentrations were evaluated as described by the Clinical and Laboratory Standards Institute (CLSI). The detection of extended-spectrum beta-lactamase (ESBL) production in E. coli isolates was carried out using double disc synergy test. In addition, molecular detection of ESBL genes was carried out using Polymerase Chain Reaction (PCR) method. Results: The prevalence of E. coli was 100%. Antibiotic resistances of E. coli were recorded as follows: streptomycin (S: 94.4%), sulphamethoxazole / trimethoprim (SXT: 90.0%), ampicillin (AMP: 88.9%), gentamicin (CN: 68.9%), amoxicillin/clavulanic acid (AMC: 55.6%), ciprofloxacin (CIP: 41.1%), cefoxitin (FOX: 35.6%), ceftazidime (CAZ: 34.4%), cefotaxime (CTX: 22.2%), and imipenems (IPM: 17.8%). The most common antibiotic resistant resistance phenotype was AMP-CTX-CAZ-CIP-CN (11.1%). Multiple antibiotic resistance (MAR) was observed in 97.7% (88/90) of the isolates, with the common MAR index being 0.5 (33.3%). Twenty five of the thirty beta-lactam resistant isolates (83.3%) were confirmed ESBL producers. The 25 ESBL positive isolates carried bla genes as follows: blaTEM (11/25, 44.0%) and blaCTX-M (18/25, 72.0%). blaSHV was not found in any isolate. Conclusion: E. coli isolated from the droppings of selected poultry farms in Nasarawa were less resistant to imipenem, cefotaxime, ceftazidime and cefoxitin in the study location. This implies that the antibiotics are useful in the treatment of infection caused by E. coli. Also, ESBL-positive E. coli isolates harbored ESBL genes, with blaCTX-M as the most common.
Reflecting on the Intersection of Critical Pedagogy, Identities, and Spaces: An Indonesian Doctoral Student’s Autoethnography

To address a student-teacher educator perspective in the engagement of critical pedagogy (CP), I employed a critical and analytical autoethnography to self-investigate my lived experiences during coursework in a doctoral program in the United States. Framed in postcolonial CP in border-crossing notion, I engaged in critical and analytical autoethnography. I critically carried out thematic analysis on learning artifacts and personal memory during the Summer course 2020 which was expanded to analytical thematic analysis as I drew on artifacts and personal memory during coursework from Fall 2018 to Spring 2020. The analysis was intended to explore how CP was enacted during coursework and the implications of the enactment. Three key themes were identified: ideology work; co-construction of knowledge and mutuality; and imagined spaces and unfinishedness. The themes embodied the perceived enactment of CP in my coursework experience and they revealed how criticality intersected CP is with pedagogical practices, transformed identities, and spaces. They further served as the basis for implications for English teacher education programs and teacher educators in Indonesia to implement CP in a higher educational landscape.
Techno‐economic assessment and sensitivity analysis of biodiesel production intensified through hydrodynamic cavitation

Since the last two decades, hydrodynamic cavitation has been introduced as one of the most efficient approaches to intensify transesterification. However, the number of industrial biodiesel plants utilizing this process is still minimal. One primary reason is the lack of information on both its economic and environmental impacts. In this study, a simulation‐based model was developed using Aspen HYSYS V8.4 for comparing flow‐through hydrodynamic cavitation with conventional mechanical stirring in terms of total capital investment, total product cost, net present value, modified internal rate of return, materials, and energy consumption. The two plants operated 7920 hours per year and produced 100 tons of biodiesel per day from fresh sunflower oil. The results showed that total capital investment and total product cost for hydrodynamic cavitation were roughly 65% and 10% lower than those for the mechanical stirring process, respectively. While the net present value was negative for the mechanical stirring, a positive net present value and a modified internal rate of return of 25.61% were obtained in the hydrodynamic cavitation process. Performing sensitivity analysis using the Box‐Behnken design and response surface methodology revealed that net present value was most affected by the linear term of the sunflower oil price. It was also found that hydrodynamic cavitation could significantly reduce materials and energy consumption, owing to higher reactor yield and lower alcohol and catalyst consumption.
Morpholino-driven transcriptional blockade of Dkk-1 in experimental osteosarcoma inhibits bone damage and tumor expansion by multiple mechanisms.

Osteosarcoma (OS) is the most common primary bone malignancy. Chemotherapy plays an essential role in OS treatment, potentially doubling 5-year event-free survival if tumor necrosis can be stimulated, but long-term treatment results in detriment to health and quality of life. The canonical Wnt inhibitor Dickkopf-1 (Dkk-1) enhances OS survival in part through upregulation of aldehyde-dehydrogenase-1A1 (ALDH1A1) which neutralizes reactive oxygen species from nutritional stress and chemotherapeutic challenge. Dkk-1 also inhibits bone repair, exacerbating formation of osteolytic lesions caused by tumor infiltration. Therefore, targeting the expression of Dkk-1 in OS could reduce tumor burden and increase susceptibility to chemotherapeutics while restoring bone repair. Herein, we report that inhibiting Dkk-1 transcription by means of a vivo morpholino (DkkMo) reduced the expansion of experimental OS tumors, preserved bone volume and architecture, and stimulated tumor necrosis. This was observed in the presence or absence of doxorubicin (DRB), and as a single agent, inhibition of tumor expansion by DkkMo was equivalent to that achieved by DRB. DkkMo stimulated apoptotic and necrotic mechanisms in tumors and appeared to deplete the tumor stroma. These results indicate that administration of DkkMo with or without chemotherapeutics can substantially improve OS outcome with respect to tumor expansion and osteolytic corruption of bone.
Effect of Support from Lecturers and Host Country Nationals on Cross-Cultural Adjustment among International Students: Evidence from a Malaysian University

Pursuing higher education abroad is a golden opportunity for any student’s personal development; however, international students’ cross-cultural adjustment (CCA) can be onerous in a foreign country. The purpose of this study is to empirically examine the roles of perceived lecturer support and host country national (HCN) support in international students’ CCA in three dimensions, i.e. general, academic, and interaction. Adopting the purposive sampling technique, survey data was collected from a sample of 124 first-year international students in a Malaysian university. The results of the partial least squares structural equation modelling analysis showed that both perceived lecturer support and HCN support are influential in international students’ general, academic, and interaction adjustment. These findings suggest that higher education institutions should amplify the role of lecturers and HCNs to help international students adjust to the various cultural aspects in Malaysia. This study contributes to the literature by applying the anxiety and uncertainty management theory to validate the influence of support on CCA in the international student context.
The Impact of HDI, Minimum Wages, Investment and GRDP on Poverty in East Java in 2019

Poverty is a serious problem in East Java. Many policies are carried out to reduce poverty such as intensified economic growth, improvement in the quality of human resources, increasing UMK annually and promoting investment. This research examined the influence of the Human Development Index (HDI), Small Medium Enterprises (SMEs), investment, and GRDP on poverty in East Java in 2019. Cross-sectional data of 38 regency cities in East Java were analyzed using linear regression. The results showed that HDI had a significant effect on poverty in East Java. Keywords: poverty, HDI, investment, minimum wage, GRDP
THE EPISTEMIC ROLE OF DESIGN EDUCATION IN AN ENGINEERING SCIENCE DEPARTMENT

Design courses in engineering education provide the space in the curriculum to synthesizetheoretical and technical knowledge gained from coursework. As students gain new knowledge and acquire skillsets, there is a need to demonstrate how the learning connects to their professional actions. With practice and rehearsals, students realize the values and dispositionsthey need to possess to be deemed a disciplinary member. In this paper, through semi-structured interviews of six design instructors, we report what instructors think is the epistemic role of design courses in instilling disciplinary values in an Engineering Science program.
CUSTOMER CHURN PREDICTION

: Customers, additionally taken into consideration as the primary income source, are the maximum important belongings in any industry. The telecom enterprise has been increasingly aggressive in latest years. The fee of attracting new clients is greater than preserving current telecom clients. Telecom organization desires to apprehend client churn via client dating management (CRM). To are expecting which clients will churn CRM analysers are required. Customer churn is a huge problem and one of the maximum critical issues for massive corporations. Because of the direct effect on organization earnings, especially withinside the telecommunications industry, groups are searching to create fashions to research patron churn. Thus, figuring out the elements that make contributions to client churn is crucial if you want to make the right movements to lessen this churn. As existence appears to be steadily depending on using telecom merchandise and services, the worldwide market for telecommunication is slated to develop at a splendid price over the imminent years. The international telecommunication marketplace is constantly reworking because of the continued improvements and tendencies taking area consistently and at a quick pace. So for the boom of the telecommunication marketplace, the loyalty of the client has turned out to be a key factor. Nowadays, there are lots of churn clients withinside the telecom industries, that's why there’s a want for a website professional for predicting the churn clients. The strategies utilized in growing this version are gadget studying strategies and constructing a brand-new manner of features’ engineering and selection. The version became advanced and demonstrated the usage of the Spark surroundings on a massive dataset acquired via way of means of reworking widespread quantities of uncooked statistics furnished via way of means of the telecom provider. The dataset contained all clients’ statistics like Customer Id
IQ imbalance estimation and compensation in space‐time block code multiple‐input/multiple‐output systems

Direct‐conversion radio frequency transceivers are well‐substantiated structures for today's wireless communication systems due to their ability in complexity reduction, cost, and power consumption. The unavoidable mismatch between the in‐phase (I) and quadrature‐phase (Q) branch of the analog front‐ends in the direct‐conversion transceiver leads to degrading the performance of communication systems. In this article, we address the estimation and compensation of the IQ imbalance (IQI) parameters for both the transmitter (TX) and receiver (RX) in multiple‐input/multiple‐output systems with space‐time block code (STBC) in the digital domain. This article proposes a pre‐combiner estimation and compensation of the channel and the frequency‐independent IQI scheme based on the repetitive transmission of the pilot sequence using the least square technique. It is worth noting that the proposed method can be extended to any orthogonal STBC. Moreover, the study is applied to IQI in other scenarios including only TX and only RX. Simulation results show that the proposed method achieves better performance in comparison with the existing post‐combiner technique. Furthermore, the proposed method requires lower computational complexity when the number of receive antennas is limited.
mLEARn: An Implementation of Multi-layer Perceptron in C++

This paper presents mLEARn, an open-source implementation of multi-layer perceptron in C++. The techniques and algorithms implemented represent existing approaches in machine learning. mLEARn is written using simple C++ constructs. The aim of mLE ARn is to provide a simple and extendable machine learning platform for students in courses involving C++ and machine learning. The source code and documentation can be downloaded from https://github.com/kalu-o/mLEARn.
A holistic model of dynamic capabilities and environment management system towards eco-product innovation and sustainability in automobile firms

Purpose Environmental pollution has emerged as a major concern in the 21st century following the introduction of sustainable development (SD) by the year 2030, whereby one of the predominant goals is related to the manufacturing industry. In Malaysia, the automotive industry is acknowledged as the backbone driving for economic growth and recognised as a source of environmental deterioration. Therefore, eco-innovation is, thus, introduced as one of the efforts for minimised environmental effects, reduced social impact and firm value sustenance. In particular, eco-product innovation is one of the renowned environmental innovation dimensions and displays high adoption and diffusion rates in developed countries due to green awareness and government financial assistance. However, developing countries such as Malaysia show relatively low adoption of such practices amongst companies, whereby most of the efforts are driven by the governments, supplier and customer demands. Therefore, this paper aims to delineate the factors of voluntary initiatives undertaken by the Malaysian automotive and auto parts industry towards eco-product innovation. Design/methodology/approach The research drew from the micro-level perspective, thus using dynamic capabilities (DC) constructs and environmental management system (EMS) strategy variables. The constructs included technology collaboration, green human resources and eco-culture, while the variables denoted formal EMS and top management support. Survey data were obtained from 242 entities within the Malaysian automotive and auto parts industry, which were subjected to analysis via confirmatory factor analysis and structural equation modelling. Findings The findings revealed the moderating role played by eco-product innovation for the association linking EMS strategy and sustainability development, while no moderator effects were observed between DC and sustainability development. Thus, future research can be performed in the meso and macro-level areas by using qualitative research across different sectors. Originality/value This paper explicates novel literature content, particularly for the field of eco-product innovation; it positions an empirical analysis from the micro-level perspective regarding the antecedence of DC and environmental strategy towards eco-product innovation and SD, mainly in the automotive industry.
Effective Pair Interactions and Structure in Liquid Noble Metals within Wills-Harrison and Bretonnet-Silbert Models

Recently, for calculating the effective pair interactions in liquid transition metals, we have developed an approach which includes the Wills-Harrison and Bretonnet-Silbert models as limit cases. Here, we apply this approach to noble liquid metals. The dependencies of pair potentials and corresponding MD-simulated pair correlation functions in pure liquid Cu, Ag and Au on the portion of the non-diagonal (with respect to the magnet quantum number) d-d-electron couplings in the metal under consideration are studied. The model provides a good agreement with experimental and ab initio data for pair correlation functions, structure factors and velocity autocorrelation functions.
Cepa de Pseudomonas syringae causante de la mancha bacteriana en cempasúchil (Tagetes erecta) en México

Marigold ( Tagetes erecta ) is an Asteraceae plant commonly used as an ornamental and ceremonial flower during the fall season in Mexico. Marigold plants cultivated in the field presented bacterial leaf spot disease symptoms. A bacterial strain that potentially causes spot disease was isolated. The main goal of this research was to classify this bacterium and assess its pathogenicity towards marigold and other plant species. The biochemical profiling identified this strain as Pseudomonas syringae LF2012. The phylogenetic analysis of the 16S rRNA gene revealed a close relation with Pseudomonas genomospecies. The I-CeuI macro-restriction profile of the chromosomal confirmed its high degree of similarity with distinct P. syringae pathovars. P. syringae LF2012 causes spot disease when inoculated by spray in marigold leaves. Infection assays towards plants from other families (Asteraceae, Brassicaceae, Amaranthaceae, Poaceae y Solanaceae) suggested that disease might be limited to marigold plants. Furthermore, this strain causes hypersensitive-like responses in Nicotiana tabacum leaves.
Landstorfer Printed Log-Periodic Dipole Array Antenna With Enhanced Stable High Gain for 5G Communication

A novel wideband stable high-gain Landstorfer printed log-periodic dipole array (PLPDA) antenna loaded with zero-index metamaterials (ZIMs) is proposed for wireless communication system. Based on the Landstorfer-shaped method, the dipoles and ground of the PLPDA antenna are Landstorfer-shaped and strung together by feeding lines to form a novel Landstorfer PLPDA antenna, which obtains a gain enhancement compared with the PLPDA antenna. To further enhance both the antenna gain and gain flatness, a series of novel ZIM are added to the shorter end of the Landstorfer PLPDA antenna. As an example, four-element Landstorfer PLPDA antennas with/without ZIM are designed, implemented, and measured in Ka-band for 5G application. Compared with the original PLPDA antenna, the proposed Landstorfer PLPDA antenna exhibits a maximum gain enhancement of 2.2 dB within the operating band of 26.5–40 GHz. Loaded with ZIM, the antenna gain can be further improved by 0.5–1.9 dB with a measured gain flatness of 10.5 ± 0.5 dBi over the band of 25.7–40 GHz while the size of antenna keeping unchanged. The proposed antenna presents a stable high-gain performance in terms of the parameter $\Delta G$ /BW ( $\Delta G$ is the gain variation, BW is the bandwidth) less than 0.07 within the whole Ka-band.