Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Entrepreneurship Learning Courses with Entrepreneurship Career Options on Students of UT

Unemployment is a strategic problem in Indonesia. The number of unemployed in Indonesia reached 7:24 million (CBS, 2014), therefore we need a national movement to improve the entrepreneurial spirit of the society. The government launched the National Entrepreneurship Movement on February 2, 2011 in Jakarta. The main focus of the government is trying to provide jobs for the unemployed. In 2009 fiscal year, the Government through the Directorate General of Higher Education, Ministry of National Education has launched the Student Entrepreneurial Program (PMW) to be implemented and developed by universities. Seeing that the importance of the entrepreneurial spirit is developed or even born among students, the researchers are interested in doing research to see how the role of entrepreneurship courses in fostering the entrepreneurial spirit among students. The analytical method used is a binary logistic regression. From the analysis, states that personality is the dominant factor affecting the interest in entrepreneurship among students not because the learning of entrepreneurship courses.
A DESIGN OF ANTENNA ARRAY WITH IMPROVED PERFORMANCE FOR FUTURE SMARTPHONES

In this study, a new multiple-input-multiple-output (MIMO) antenna array is introduced for fifth-generation (5G) smartphones. Its schematic contains eight planar invertedF antenna (PIFA) elements placed at edges of the mobile-phone mainboard with a 75 × 150 × 0.8 mm3 FR-4 substrate. The ground plane and antenna resonators are etched on the back layer of the mainboard. By employing arrow strips between the adjacent elements, the frequency bandwidth and isolation level of the PIFA radiators are improved. The proposed smartphone antenna array is designed to support the spectrum of commercial sub 6 GHz 5G communication and cover the frequency range of 3.25–3.85 GHz with isolation levels better than −15 dB. Due to the compact size and corner placements of the PIFAs, the presented MIMO antenna array occupies a small part of the board. In addition, the proposed smartphone antenna array provides not only sufficing radiation coverage supporting different sides of the mainboard but also the polarization diversity. The MIMO performance and characteristics of the proposed smartphone antenna design in the presence of the user phantom are also discussed.
Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach

Distributed detection of covert attacks for linear large-scale interconnected systems is addressed in this article. Existing results consider the problem in centralized settings. This article focuses on large-scale systems subject to bounded process and measurement disturbances, where a single subsystem is under a covert attack. A detection methodology is proposed, where each subsystem can detect the presence of covert attacks in neighboring subsystems in a distributed manner. The detection strategy is based on the design of two model-based observers for each subsystem using only local information. An extensive detectability analysis is provided and simulation results on a power network benchmark are given, showing the effectiveness of the proposed methodology for the detection of covert cyber-attacks.
Weight Reduction for Overweight and Obese Adults: Challenges Experienced In a Nigerian Community

Prevalence of overweight and obesity in low/medium income countries is on the increase with associated co-morbidities. This qualitative study was carried out to explore various challenges and barriers experienced by overweight and obese individuals in a sub-Saharan Africa setting. Focus group discussions were conducted in 13 census enumeration areas with a purposive sample size of 83 overweight and obese individuals. The data collected was subjected to thematic analysis after going through rigorous transcriptions from the tape recorder. The three main emerging themes were lack of knowledge about the need to reduce weight and health consequences of overweight, lack of money for consultation and dietary regimen as well as lack of support and motivation from immediate family and friends. This study was able to explore various challenges that impair weight reduction among overweight and obese persons from a low income country. These challenges need to be seriously considered if the increasing tide in the prevalence of overweight and obesity is to be reduced and checked.
Identification of an agent suitable for disinfecting boots of visitors to the Antarctic

Studies of Antarctic fauna have led to tentative identification of a range of potential pathogens for both animals and humans. The rapid increase in visitors on tourist ships to the continent, now exceeding 10,000 per year, raises the concern that humans might transmit pathogens into and between wildlife colonies. The authors investigated the feasibility and efficacy of chemical disinfection of the microbial contamination on visitors' boots. During three voyages to penguin colonies in the Ross Sea, swabs were collected from the boots of visitors prior to landing, immediately on return to the ship, after a water wash, and after a chemical disinfectant wash using Virkon S. For the first two visits, abundant growth of bacteria was identified on boots at all three stages prior to disinfection. Following disinfection, the growth of bacteria was virtually eliminated. On the third visit, previously disinfected boots grew virtually no bacteria. After this landing the bacterial growth was substantially reduced by disinfection. These results indicate that consideration should be given to including disinfection in cleaning the boots of visitors to wildlife sites in the Antarctic to reduce the risk of translocation of microbial pathogens.
A review on deep learning for future smart cities

The advancements in Information and Communication Technologies (ICT) made the concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are deployed across several locations to collect the data about traffic, drainage, mobility of citizens etc. and the insights gained from these data are used to manage resources, assets etc. effectively. Deep Learning has been used extensively on the data generated by IoT sensors in a smart city by several researchers. In this article an attempt is made to survey several state‐of‐the art on usage of Deep Learning on Smart City data. Several future research directions are suggested at the end of the article.
Algebraic and Geometric Properties of Hierarchical Models

OF DISSERTATION Algebraic and Geometric Properties of Hierarchical Models In this dissertation filtrations of ideals arising from hierarchical models in statistics related by a group action are are studied. These filtrations lead to ideals in polynomial rings in infinitely many variables, which require innovative tools. Regular languages and finite automata are used to prove and explicitly compute the rationality of some multivariate power series that record important quantitative information about the ideals. Some work regarding Markov bases for non-reducible models is shown, together with advances in the polyhedral geometry of binary hierarchical models.
Optimum Split Ratio in Surface-Mounted Permanent Magnet Machines With Pieced Halbach Magnet Array

The split ratio, defined as the outer radius ratio of the magnet to stator, has been investigated and optimized in surface-mounted permanent magnet (PM) machines having conventional/novel pieced Halbach magnet array. The air-gap magnetic field in PM machine with novel pieced Halbach magnet has been analytically obtained. The influences of split ratio and magnet arc length ratio on the torque density have been separately and analytically investigated for the machines with conventional pieced Halbach magnet array. In order to achieve the maximal torque density in the conventional pieced Halbach magnetized machines, the optimum split ratio and/or pole arc ratio have been obtained. In addition, the influences of one or both of the split ratio and magnetization angle on the torque density have been analytically investigated for the machines with novel pieced Halbach magnet array. In order to achieve the maximal torque density in the novel pieced Halbach magnetized machines, the optimum split ratio and/or magnetization angle have been determined. Finally, the linear analytical predictions have been compared with linear and nonlinear finite element analyses.
Spectral–Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation

This letter introduces a novel spatial–spectral classification method for hyperspectral images (HSIs) based on a structural-kernel collaborative representation (SKCR), which considers one weak assumption of spatial neighborhood that of the pixels in a superpixel belong to the same class when exploiting contextual information in HSI. The proposed method consists of the following steps. First, a superpixel segmentation strategy is used to construct self-adaptive regions for the HSI. Then, the structural information within each superpixel block is extracted based on the density peak and $K$ nearest neighbors. Next, dual kernels are separately utilized for the exploitation of the spectral and the spatial information. Finally, the dual kernels are combined and incorporated into a support-vector-machine classifier. Since the weak assumption of spatial neighborhood is well considered in the collaborative representation, the proposed method showed excellent classification performance for two widely used real hyperspectral data sets even when the number of training samples was relatively small.
Xenoprotec: Antimicrobial Agent Derived from Xenorhabdus indica

2 Abstract: The use of Xenoprotec in medical purposes as new antimicrobial agent with low production cost and affecting antibiotic resistant bacteria as Staphylococcus aureus and Pseudomonas fluresence had been carried out. Four bacterial strains were isolated (Xenorhabdus indica, Xenorhabdus nematophila, Xenorhabdus sp. and Photorhabdus lumenscens laumondii) from the four entomopathogenic nematodes species, Steinernema abbasi, Steinernema carpocapsae DD , Steinernema carpocapsae all strain and 136 Heterorhabditis bacteriophora HP , respectively. The morphological and biochemical identification of the four 88 bacterial isolates was confirming their genus characters and followed by genotyping identification using 16SrDNA technique with its specific primers. The antimicrobial activity was detected in the cell free supernatant (CFS) when screened against indicator pathogenic strains of both Gram +ve bacteria (Staphylococcus aureus and Enterooccus fecalis) and Gram -ve bacteria (Pseudomonas flurecens, Vibrio anatum, Salmonella typhemurium and Aeromonus hydrophila). We recorded that X. indica CFS gives the highest inhibitory reaction as it induced inhibition zone ranging from (9 to 35 mm) against all tested strains except Vibrio anatum and Aeromonus hydrophila strains which were not affected. The CFS of the selected strain (X. indica) was chemically fractionated into three main groups: protein fractions, lipid fractions and carbohydrate fractions. The three groups were tested against both Gram positive (Staphylococcus aureus and Enterooccus fecalis) and Gram negative (Salmonella typhemurium and Pseudomonas flurecens) indicator pathogenic microorganisms. The antimicrobial activity was estimated in the protein fractions only with inhibition zone 13, 16, 14 and 11 mm, respectively. The antibacterial activity was retained in the protein fractions having a molecular weight ranging from 100 to 300 kDa. Electrophoretic analysis of active protein fraction on 12% SDS-PAGE revealed that its molecular weight is 220 kDa (Xenoprotec) with recovery 1.5% from CFS total proteins. These results will open a fruitful scientific argue about the nature of the Xenorhabdus spp. antibiotics as it is the first time we recorded with persuasive evidences that the antibiotic activity was remained in the protein fraction.
The Impact of Brand Trust, Brand Loyalty, Brand Image on Service Quality

The value of customer loyalty for the institution has the effect of decision making involving alternative available brands. More value in loyalty can minimize costs in marketing, leverage, attract new customers, be responsive in responding to threats, opportunities, opportunities, strengths from competitors. Looking at the 33-year Open University experience, the study tries to broaden our understanding of understanding college branding that focuses on diverse brand concepts. The principles of brand management and good strategies that will be used will overcome the imaging barriers of brand distance education. The methodology in this research uses Structure Modelling Partial Least Square with stratify random sampling, the number of samples 285 people through four Likert scales. The findings prove that Service Quality has a significant positive effect (5,147) on Brand Image, Service Quality has a significant positive effect (2,978) on brand trust level, Service Quality has a significant positive effect (7,719) on Brand Loyalty, Service Quality has a significant positive effect on (11,489) Tangible, (9,519) empathy, (9,857) responsiveness, (15,819) reliability and (8,568) guarantees and greater than t-tables. Based on the results of the discussion of research on the Factor Analysis of the Relationship Structure between Brand Trust, Brand Loyalty, Brand Image on Service Quality shows the conclusion that Service Quality has a significant positive effect on Brand Image. Quality of Service Significantly positive effect. The level of brand trust. Service Quality has a significant positive effect on Brand Loyalty. The positive experience of students in service needs to be appreciated by UPBJJ in supporting the promotion and public education. Enhancing services is perfect to support the experience effects of new customers. From these results customers will spread good news to prospective customers / prospective students, can increase loyalty efforts by paying attention to the needs of students in improving services.
THE SPLICEOSOMAL PROTEIN SnRNP F BINDS TO BOTH U3 AND U14 CLASS OF snoRNA IN Giardia lamblia

Small nuclear Ribonucleo Protein F (snRNP F) is a spliceosomal protein that binds with U1, U2, U4/U6 and U5 small nuclear RNA (snRNA) to form spliceosomal complexes responsible for pre mRNA processing. This study reports the unusual interaction of giardial snRNP F with small nucleolar RNAs (snoRNA) that are responsible for pre rRNA processing. Electrophoretic Mobility Shift Assay was used to demonstrate the interaction of this protein with U3 and U14 class snoRNA of the early branching eukaryote Giardia lamblia. It was also evident from our study that snRNP F in Giardia is evolutionary distinct from its other eukaryotic orthologues.
Synthesis of Acridin-2-yl(Phenyl)Methanone via Palladium Catalyzed Carboannulation of Internal Acetylene and Its Antibacterial and Anti-biofilms Activity

Many substituted acridin-2-yl(phenyl) methanones have been successfully prepared in good yields by reacting functionally substituted aryl halides with many internal acetylenes in presence of a palladium catalyst Pd(dba)2. The end product of this reaction has also been synthesized via reaction of cis- and trans3-(2-chloro-6-methoxyquinolin-3-yl)-1-(3,4,5-trimethoxyphenyl)prop-2-en-1-one palladium complexes towards acetylene in an aqueous medium. This reaction was believed to proceed via region-selective arylpalladation of the acetylene and subsequent nucleophilic displacement of the palladium, which further produced vinylpalladium intermediates. The intermediates and the final products have been tested for broad-spectrum antibacterial and antibiofilm activities.
Host Specificity of an Italian Population of Cosmobaris scolopacea (Coleoptera: Curculionidae), Candidate for the Biological Control of Salsola tragus (Chenopodiaceae)

1ENEA C.R. Casaccia UTAGRI-ECO, Via Anguillarese 301, 00123 S. Maria di Galeria (Rome), Italy mcristofaro@enea.it 2BBCA -Biotechnology and Biological Control Agency, Via del Bosco 10, 00060 Sacrofano (Rome), Italy a.paolini@bbcaonus.org 3USDA-ARS, European Biological Control Laboratories, Campus International de Baillarguet, 34980 Montferrier sur Lez, France mcbon@ars-ebcl.org 4University of Rome La Sapienza, Piazzale Valerio Massimo, 1, I-00185 Rome, Italy ecolonnelli@alice.it 5USDA-ARS, 800 Buchanan Street, Albany, CA 94710, USA link.smith@ars.usda. gov
Enhanced Resistance to Verticillium dahliae in Transgenic Strawberry Plants Expressing a Lycopersicon chilense Chitinase Gene

A chitinase gene (pcht28), isolated from Lycopersicon chilense, was transferred into 'Jolietteʼ strawberry using a stipule regeneration method and Agrobacterium-mediated gene transfer technique. Stipules showed a high rate of shoot regeneration (>90%) through direct or indirect organogenesis. Stipules were cocultured with a transformation plasmid in which pcht28 was under the control of the CAMV 35S promoter. A high tendency in production of chimaeric shoots was observed. Shoots which did not show any sign of bleaching after several subcultures in kanamycin containing medium were considered as stable transformants. These shoots were successfully rooted in the presence of 50 ∝g·mL-1 kanamycin. Transgenic nature of the plants was confi rmed by PCR as well as Southern blot analysis. Constitutive expression of the chitinase gene was demonstrated by Northern analysis. In growth chamber studies, the transgenic strawberry plants which expressed pcht28 had signifi cantly higher resistance to Ve rticillium dahliae as compared to nontransgenic controls. These results demonstrate that pcht28 plays a role in defense against this fungal disease in strawberry.
A novel cooperative bacterial foraging algorithm

A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.
Seasonal Distribution of Micronutrients in Mature ‘Concord’ Grape: Boron, Iron, Manganese, Copper, and Zinc

This study investigated the distribution of the micronutrients boron (B), iron (Fe), manganese (Mn), copper (Cu), and zinc (Zn) in 42-year-old 'Concord' grapevines (Vitis labruscana Bailey) grown in a calcareous soil to understand seasonal partitioning and distribution of micronutrients throughout various grapevine tissues. In 2006 and 2007, four vines each were excavated at winter pruning, budbreak, the three- to four-leaf stage, bloom, veraison, harvest, and postharvest. Separated plant organs were measured for biomass and analyzed for B, Fe, Mn, Cu, and Zn. The results showed that seasonal patterns of micronutrient concentrations varied considerably with respect to organ and growth stage. Leaf blades, shoot tips, and petioles had the highest concentration of B at bloom and Mn at harvest, whereas Fe, Cu, and Zn concentrations were highest in fine roots but values varied over time each year. Whereas seasonal patterns of Fe, Cu, and Zn contents differed year by year, B and Mn contents had a similar pattern over both years. Translocation of B and Mn from woody tissue to actively growing organs occurred at the beginning of the season. The majority of B uptake occurred between bloom and veraison, whereas that of Mn occurred between bloom and harvest. There were similar B concentrations in shoot tips and leaf blades. Boron remobilization to woody tissues from the leaves occurred between veraison and harvest, suggesting moderate, late-season, phloem mobility of B in 'Concord' grapevines. Microsite differences in soil pH likely contribute to variable nutrient availability around the root system, demonstrated by high variability of Fe, Cu, and Zn contents in different vine organs.
Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks

Due to rapid developments in the deep learning model, artificial intelligence (AI) models are expected to enhance clinical diagnostic ability and work efficiency by assisting physicians. Therefore, many hospitals and private companies are competing to develop AI-based automatic diagnostic systems using medical images. In the near future, many deep learning-based automatic diagnostic systems would be used clinically. However, the possibility of adversarial attacks exploiting certain vulnerabilities of the deep learning algorithm is a major obstacle to deploying deep learning-based systems in clinical practice. In this paper, we will examine in detail the kinds of principles and methods of adversarial attacks that can be made to deep learning models dealing with medical images, the problems that can arise, and the preventive measures that can be taken against them.
DEAD-Box RNA Helicases are among the Constituents of the Tobacco Pollen mRNA Storing Bodies

Male gametogenesis in flowering plants is attributed by substantial changes in cellular reorganization, cell fate specification and changes in cellular metabolism including RNA metabolism. Sequestration from immediate translation of protein coding mRNAs has emerged as one aspect of mRNA post transcriptional regulation that is widespread during gametogenesis. Transcripts repressed from translation are confiscated into mRNA storing bodies and function later during development and at early stages of embryogenesis. In Arabidopsis, 88% and 12% of the zygotic transcriptome at 2-4 cells stage of development now known to originate from maternal and paternal gametes respectively [1]. Moreover, an activator of YODA (YDA) mitogen-activated protein kinase pathway in the zygote, the interleukin-1 receptor-associated kinase (IRAK)/Pelle-like kinase gene Short Suspensor (SSP) is specifically expressed in the Arabidopsis male gametophyte but only translated upon gamete fusion to promote suspensor development [2]. Previously we have reported the proteome of EPP complexes [3], the tobacco pollen large mRNPs granules containing translationally sequestered mRNAs, non-coding smRNAs and a repertoire of associated protein complexes including factors for initiation of translation [4]. Here, we have analysed our previous and new EPP proteome data set obtained from orbitrap LC-MS/MS as well as tobacco pollen Agilent microarray data [3-5] and highlighted that RNA helicases, predominantly DEAD-box domain containing helicases are among the constituents of the EPP RNA granules. Their potential function tied to local translation is explored. In addition, we discuss the recent report of RNA helicases localization within peroxisomes bodies and speculate their likely role as an additional site for mRNA control in the male gametophyte alongside EPP mRNA storing granules. Thus, mRNA homeostasis in the male gametophyte might be subjected to multiple controls at diverse but likely interconnected cytoplasmic foci.