Miracle-dz/UniFAR-FTUs huggingface dataset:
PROPERTIES OF EPOXY-LAYERED SILICATE NANOCOMPOSITES

Nanotechnology has brought rapid progress in various fields. Polymer-nanocomposites have attracted special interest, since the Toyota research group developed nylon-layered silicate nanocomposites [1]. These materials are organic-inorganic hybrid materials and greatly improve some properties of resins. Most research has focused on thermoplastics. Application of these materials will be enhanced by applying this technology to thermosetting resins [2-4]. For example, thermosetting resins are used in heavy apparatuses such as generators, rotators and switchgears because of their excellent electrical, mechanical and thermal properties. Innovative apparatuses are expected with development of high performance thermosetting nanocomposites. This report describes layered silicates dispersed to epoxy resins used for heavy apparatuses, to enhance the thermal, mechanical and electrical insulation properties of the composites.
COMPUTATIONAL ASSESSMENT OF REDUCTION METHODS IN FE-BASED FREQUENCY-RESPONSE ANALYSIS

State-of-the art FE solvers offer several methods for dimensional reduction of the matrices, including the traditional method of Component Mode Substructuring (CMS) and the more recent approach of Automated Multilevel Substructuring (AMLS). All reduction methods are associated with specific rectangular transformation matrices T. Those matrices represent the basis of a subspace onto which the full frequency response analysis is projected. The subspaces are usually based on dynamic modes (eigenvectors) or static modes (Ritz vectors), or a combination of both. From a mechanical viewpoint, the eigenmodes represent the inherent dynamic features of the structure while the static modes capture the action of the applied load. We give a short overview of several dimensional reduction and modal enrichment approaches, and discuss computational results for a medium-scale model problem and a large-scale industrial application.
angostanaxanthone VIIII , a new xanthone from Garcinia mangostana ericarps ,-amylase inhibitory activity , and molecular docking tudies abrin

A new xanthone: mangostanaxanthone VIIII [1,3,5,6,7-pentahydroxy-2-(3-methylbut-2-enyl)-8-(3hydroxy-3-methylbut-1-enyl) xanthone] (5) and four known xanthones: mangostanaxanthones I (1) and II (2), -mangostin (3), and mangostanaxanthone VII (4) were separated and characterized from the acetone fraction of Garcinia mangostana L. , Clusiaceae (mangosteen) pericarps. Their structures were established based on various spectroscopic analyses in addition to HRMS and comparison with the literature. The -amylase inhibitory potential of the isolated metabolites was evaluated. Compounds 1, 2, and 5 had the highest activity with % inhibition 72.5, 86.5, and 81.8, respectively compared to acarbose (97.1%, reference -amylase inhibitor). The molecular docking study of the tested metabolites was estimated to shade up the rational explanation of the -amylase inhibitory activity results. Moreover, the pharmacokinetic parameters were assessed using Swiss ADME. It is noteworthy that 1, 2, and 5 had iabetes similar binding poses as the X-ray crystal structure of acarbose, whereas the other metabolites possessed different binding mode that decreased their inhibitory capacity. Thus, these data reinforced the health benefit of mangosteen as an alternative medicine to help lowering the postprandial glucose absorption. Therefore, it could have a good potential for the treatment of diabetes. © 2019 Sociedade Brasileira de Farmacognosia. Published by Elsevier Editora Ltda. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Investigation of iron uptake and virulence gene factors (fur, tonB, exbD, exbB, hgbA, hgbB1, hgbB2 and tbpA) among isolates of Pasteurella multocida from Iran

Background and Objectives: Iron is an essential compound in metabolic pathway of wide range of organisms. Because of limited free iron supply in mammalian and avian hosts, bacteria have applied various ways to acquire iron. Materials and Methods: In this study, the frequency of 8 iron acquisition factors was examined among 63 avian and ovine Pasteurella multocida field isolates and their vaccine strains using PCR method. Results: Five candidate genes (fur, tonB, exbD, exbB and hgbA) were identified among all isolates. For the first time, 2 loci (hgbB1 and hgbB2) of the hgbB gene were identified, which were previously reported as 1 gene. Also, it was found that 5 ovine and 1 avian isolates possessed all the virulence factors, which could also be considered for evaluating the frequency of other virulence factors. Conclusion: More studies need to be conducted on the frequency of all other virulence factors among these isolates, which can provide basic information for improvement or substitution of current vaccinal strains. Overall, as the new designed sets of primers showed more potential in detecting the corresponded genes, researchers can consider them in further studies.
Clasificador de imágenes de frutas basado en inteligencia artificial

Machine vision and image analysis applications are nowadays capable of solving various problems in the industrial, scientific or safety sectors. Image classification is very useful for the automation of processes in a company. In order to perform an image classification task, the features identifying each kind of image, such as color, shape, and texture, must be extracted. In the present work, it is necessary to implement the algorithms for the construction of a fruit image classifier, based on image color features extraction in certain regions of interest. For developing the fruit image classifier, the threedimensional color histogram extraction technique is used, and with the implementation of artificial intelligence algorithms, image automatic classification is accomplished. The dataset used consists of: four fruit types with a varied number of images per class, then the images are prepared by selecting regions of interest through the use of masking techniques and they are then divided into two datasets: training data and test data. After the classifier is trained, classification tests are performed to evaluate the effectiveness of the fruit image classifier. This classifier implementation and construction methodology can be used in various applications, depending on the types of object images to be analyzed in similar conditions, and to automate classification and object recognition processe
THE GENETIC APPROACH TO PHYSIOLOGICAL STUDIES IN BREAD

Genetics has long been applied as a tool to dissect biological processes in plants. Using genetic approaches, the phenotypic variation for many traits has received physiological and molecular genetic characterization. The natural variation for most physiological traits such as developmental processes, vegetative growth, nutrient uptake and utilization, stress tolerance and adaptation, etc., is continuous and determined by multiple genes. In addition, these traits are environmentally dependent and, therefore, their genetic analysis requires a quantitative trait locus (QTL)-based approach in which linkage maps are combined with phenotypic data. The large genome and the allopolyploid nature of bread wheat (Triticum aestivum L.) have long been substantial barriers to genetic dissection of quantitative traits. The boost in molecular marker technologies, the generation of dense linkage maps, coupled with improved statistical methods and development of precise genetic stocks have immensely increased the power of genetic analysis of complex physiological traits in wheat. In this paper, recent applications to two important phenology processes in bread wheat – seed germination and flowering time, are presented. These are examples of using QTL approach and novel segregating populations to map responsible loci followed by the use of the homology-based understanding of plant gene functionality to suggest the putative function of the candidate genes within the regions harboring the detected QTL. The gained knowledge could aid the fine tuning of seasonal phenology in wheat cultivars tailored for growing in specific environments and in response to climatic changes.
LAMINATE ELEMENT METHOD FOR ELASTIC GUIDED WAVE DIFFRACTION SIMULATION

The laminate element method (LEM) [1] is a special case of the method of fundamental solutions (MFS). In contrast to the conventional MFS, which assumes meshless expansion in terms of classical fundamental solutions for a homogeneous elastic space, the LEM is based on the use of the fundamental solutions for the elastic layered structure under consideration as a whole. Such basis functions called laminate elements (LEs) identically satisfy the governing equations in the sub-layers and the homogeneous boundary conditions at all plane-parallel surfaces and interfaces. Therefore, only conditions on the remaining non-planar parts of the domain’s boundary, e.g., at obstacle boundaries, surface irregularities or structural edges, are to be approximated by LEs. This property considerably reduces the number of basis functions and thereby the computational expenses. It makes this method well-suitable for guided wave propagation and diffraction problems, especially in lengthy and expanded structures with localized obstacles.
Schedule Trees

Schedules in the polyhedral model, both those that represent the original execution order and those produced by scheduling algorithms, naturally have the form of a tree. Generic schedule representations proposed in the literature encode this tree structure such that it is only implicitly available. Following the internal representation of isl, we propose to represent schedules as explicit trees and further extend the concept by introducing different kinds of nodes. We compare our schedule trees to other representations in detail and illustrate how they have been successfully used to simplify the implementation of a non-trivial polyhedral compiler.
Term Efficacy of Laparoscopy Assisted vs Open Gastrectomy with D 2 Lymph Node Dissection for Advanced Gastric Cancer

INTRODUCTION: The most effective curative treatment for gastric cancer other than early stage is radical gastrectomy with D2 lymph node dissection. Laparoscopy assisted gastrectomy is one of the technique alternatives on this issue. Although the advantages of laparoscopic surgery as a minimal invasive procedure is well known, it should be evaluated for the reach of radical oncological principles and the results should be revealed. METHODS: The early results of patients with clinical stage IIA and over gastric carcinoma that had been operated with laparoscopy assisted (19 patients) and open surgery (23 patients) were evaluated. RESULTS: In laparoscopy assisted group, both the bleeding and the need for analgesics in postoperative period were significantly less (166.9±66.5ml vs 264.3±91.3ml, 6.4±1.5 vs 9.04±1.7, times respectively) but the time needed to complete surgery was longer (183± 31.1 min vs 155± 29.5 min). There was no difference in the numbers of lymph nodes removed and surgical resection margins. The pulmonary complications were more frequent in open surgery group. DISCUSSION and CONCLUSION: Laparoscopy assisted radical gastrectomy with D2 lymph node dissection is an effective and safe surgical technique for gastric cancers other than early stage. It is thought to have some superiorities in early postoperative healing.
MENDUKUNG VIRAL MARKETING ( STUDI : WEB PARIWISATA KABUPATEN BANTUL ) QUALITY MEASUREMENT OF MEDIA AND INFORMATION DISSEMINATION IN TOURISM WEBSITE FOR SUPPORTING VIRAL MARKETING ( STUDY : OFFICIAL BANTUL TOURISM WEB )

ABSTRAK Website pemerintah adalah alat promosi yang penting untuk tujuan wisata karena merupakan saluran informasi dalam memperkenalkan semua calon wisatawan sebagai dasar keputusan perjalanan dan pemilihan destinasi. Kabupaten Bantul telah menerapkan teknik promosi melalui website. Namun sayangnya, promosi dengan menggunakan website tersebut kurang maksimal dan kurang mendapat kepercayaan pengguna. Tujuan penelitian adalah untuk mengetahui faktor-faktor yang mempengaruhi tingkat kepercayaan dalam menggunakan website sebagai media promosi pariwisata. Hal tersebut diprediksi mendorong adopsi informasi dan terwujudnya viral marketing. Peneliti mengusulkan model tingkat kepercayaaan yang memberikan pengaruh terhadap terciptanya viral marketing berdasarkan model Filieri yang dimodifikasi. Populasi melibatkan masyarakat umum yang membutuhkan informasi tentang pariwisata di Bantul yang mempunyai media sosial. Sampel dengan menggunakan metode simple random sampling. Kuesioner digunakan untuk mengumpulkan data dengan menggunakan skala Likert dan dianalisis menggunakan Structural Equation Model – Partial Least Square (SEM-PLS). Hasil penelitian menunjukkan bahwa kualitas informasi dan kualitas website yang dirasakan oleh pengguna terbukti meningkatkan kepercayaan pengguna terhadap website pariwisata. Kepercayaan pengguna terhadap website pariwisata juga terbukti meningkatkan niat pengguna untuk mengadopsi informasi pariwisata dan mendorong pengguna untuk melakukan kegiatan viral marketing. Penelitian juga memberikan hasil yang menarik bahwa kualitas layanan, kepuasan pengguna serta pengalaman dan kemampuan pengguna tidak terbukti secara signifikan terhadap kepercayaan pengguna website pariwisata.
INFLUENCE OF THE NUMERICAL METHOD ON THE PREDICTED BONE DENSITY DISTRIBUTION IN ELEMENT BASED SIMULATIONS

Most bone remodeling simulations developed upon the basis of the strain energy density theory make use of Euler method for the numerical integration of density evolution equation. However, it is well known the imprecision of this method. In this work is accomplished a comparison between five numerical methods used for integration of the density evolution equation, namely Euler, Heun, forth order Runge Kutta, second order Adams Bashford uncorrected and corrected using Adams-Moulton. The comparison criteria are the computational time, convergence behavior and final apparent density distribution.
Preliminary Phytochemical and Antimicrobial Properties of Five Plants in Edo State Nigeria

The current study was undertaken to evaluate the phytochemistry and antimicrobial properties of five species; Alchornea cordifolia (Schum and Thonn), Aspilia africana (Pers), Chromolaena odorata (L.), Jathropha curcas L. and Luffa cylindrica (Linn.) M.J. Roem in Esan land, Edo State with a view to throw more light on their possible mechanism of action and justify their use as anti-microbial agents. Antimicrobial sensitivity assay was carried out by disc diffusion method where the alcohol extract of the some of the plants showed invitro potential of antimicrobial activities against the organisms tested. The extracts evaluated include cold water extract (CWE), hot water extract (HWE) and alcohol extract (AE) which was tested against four pathogenic organisms (Staphylococcus aureus, Klebsiella pneumoniae, Escherichia coli and Candida albicans) isolated from patients admitted in the Specialist Hospital, Irrua, Edo State, for various ailments. These plants contain tannins, saponins, alkaloids and flavonoids. When tested against Escherichia coli, Klebsiella pneumoniae, Candidas albicans and Staphylococcus aureus, alcohol extracts of Chromolaena odorata and Aspilia africana showed varying appreciable degrees of inhibition to the growth of tested organisms (1-11mm). Alcohol extracts of the plants was found to be more effective than the water extracts in inhibiting the growth of the pathogenic bacteria under study.
An Improved Centroid Localization Algorithm Based on Received Signal Strength

Centroid localization algorithm(CLA) is a distributed range-free localization method, with the advantages such as low-cost and simple to implement, whereas its localization error is big. APIT is an improvement of CLA . Location estimation of APIT is precise when anchors are deployed uniformly and densely whereas its computational cost is very high, moreover, the performance of APIT depends highly on the success of point in triangle test. When anchors and unknown nodes are deployed randomly, if some unknown nodes can not be covered by any anchor triangle, APIT will not perform on those nodes which make the average localization precision worse. In this paper, we design an improved centroid localization algorithm based on received signal strength. The core idea of our algorithm is, unknown nodes sort neighbor anchors according to corresponding RSS value, the estimation of location is then calculated as the centroid of the three closest anchors which satisfy unknown node in triangle test. A large number of simulations show that, when wireless sensor network is deployed randomly, the localization precision of RSSC is better than APIT; when WSN is deployed uniformly, the localization precision of RSSC is a little trivial. On average, computational cost of RSSC is less than a quarter of APIT.
1 Towards an Autonomy-Based Approach to Design and Develop Mobil i ty Assistive Technologies for Spinal Cord Injury Populations

Mobility impairment is the most prevalent type of disability in the United States and the third most common in Canada [1], [2]. A large number of people with mobility impairments rely on wheeled mobility assistive devices (WMADs) to perform activities of daily living. Specific recent design characteristics of existing WMADs make it possible to perform certain types of activities that they could not have performed without the use of these devices, such as reaching from elevated seats or navigating difficult terrains with the FreewheelTM. Technological growth has enabled the design and development of advanced WMAD concepts such as self-balancing, stair-climbing, and self-navigating wheelchairs. However, due to the diversity of users’ needs, use of even the most advanced WMADs might not fully satisfy users’ desires and demands. WMADs restrict the user to perform activities in a specific manner or under certain conditions only. In many cases, restrictions imposed by the device can prevent users from performing what they want to do.
Faster-ThanAt-Speed Test for Increased Test Quality and InField Reliability

Faster-than-at-speed testing is an effective approach to screen small delay defects (SDDs) and increase test quality and in-field reliability. This paper presents a novel framework of faster-than-at-speed test to minimize the slack of the sensitized path for each fault. The basic strategy is to use multiple faster-than-at-speed test timings with endpoint masking for each pattern. By performing a detailed analysis of the sensitized path delay for active faults and active endpoints in each pattern, we can minimize the slack for the detectable faults while preventing a large increase in pattern count. We also present methods to maximize the sensitized path delay and further reduce the pattern count under a constraint on the allowable slack size, instead of minimizing the slack. Experimental results for ITC’99 benchmark circuits show the effectiveness of the proposed methods in terms of slack size and sensitized path delay for detectable faults, statistical delay quality level (SDQL) and pattern count.
Acoustic characteristics of solid models based on vowel production MRI data

ATR MRI database of Japanese vowel production” was used to evaluate acoustic characteristics of realistic vocal tracts for five Japanese vowels through the measurements of frequency responses from vocal tract solid models formed by a stereo-lithographic technique. An optimized Aoshima’s time-stretched pulse signal generated from a horn driver unit was introduced into the solid model at the lip end. The response signals of the models were recorded at the model’s glottis. This method permits accurate measurement of acoustic characteristics of the vocal tract including the laryngeal cavity. The results provide a benchmark for testing numerical analysis methods that have been used to study vocal tract acoustics.
Meningite da Streptococcus pneumoniae in età pediatrica

D urante l’ultimo decennio, l’interesse per lo Streptococcus pneumoniae è andato progressivamente aumentando sia per una più approfondita conoscenza del ruolo di questo patogeno in numerose infezioni pediatriche sia per l’emergenza di ceppi resistenti alla penicillina e al ceftriaxone, sia anche per le sue implicazioni con l’introduzione di nuove formulazioni vacciniche. Attualmente, S. pneumoniae rappresenta una delle principali cause di morbilità e mortalità soprattutto in età pediatrica, sia nei paesi industrializzati sia, ancor più, in quelli in via di sviluppo, dove si stima che le infezioni pneumococciche invasive siano responsabili di 1,2 milioni di decessi/anno tra la popolazione pediatrica [1]. S. pneumoniae è causa di infezioni non invasive otite media, sinusite, polmonite non batteriemica, mastoidite e di infezioni invasive polmonite batteriemica, batteriemia/ sepsi senza localizzazione d’organo, meningite. Oltre a rappresentare l’agente eziologico più comune della polmonite, S. pneumoniae è responsabile della grande maggioranza delle batteriemie infantili, ed è attualmente al primo posto come causa di meningite batterica nei bambini di età inferiore ai 5 anni, con incidenza del 25 40% secondo le casistiche considerate, ancor più dopo l’introduzione negli ultimi 15 anni del vaccino per l’Hemophilus influenzae b, responsabile del radicale cambiamento dell’epidemiologia delle meningiti purulente nei Paesi dove è stato introdotto nell’uso routinario [2-5]. L’incidenza delle meningiti acute purulente da S. pneumoniae al di sotto dei 5 anni di vita è di circa il 15% (dati SIMI dell’ISS) [6]. La fascia di età dei primi 5 anni di vita è quella che paga il maggior tributo in termini di letalità: infatti, nel 2001 in Italia la letalità per meningite acuta purulenta da S. pneumoniae, specialmente se associata a sepsi batteriemia, è stata del 12% se riferita a tutta la popolazione. Risulta parimenti elevata anche l’incidenza di sequele neurologiche, con un range compreso tra il 29% e il 56%, secondo quanto riportato in casistiche differenti [7, 8]. Tali sequele comprendono encefalopatia epilettogena, idrocefalo, strabismo, amaurosi, compromissione neuropsicomotoria, ipocusia o anacusia neurosensoriale mono o bilaterale, onerose per le conseguenze individuali, sociali, economiche.
WORK BEHAVIOR AMONG EMPLOYEES IN EMOTIONALLY DEMANDING JOBS : THE ROLES OF PERCEIVED ORGANIZATIONAL SUPPORT , JOB BURNOUT

Interest in counterproductive work behavior (CWB) is growing in recent time because of the problems it creates for firms. The present study extended previous research on CWB by investigating the influence of perceived organizational support and job burnout on CWB among employees in emotionally demanding jobs. The study was a cross-sectional survey, in which a sample of 328 employees in organizations that render highly personalized service participated. The results of the multiple regression analysis showed that employees with favorable perception of organizational support were less likely to exhibit CWB. Employees who reported job burnout showed higher tendency of engaging in CWB than those who did not report job burnout. However, age did not influence employees’ tendency to engage in CWB. Employee assisted programs such as flexible working hours and cognitive re-training of employees to manage their expectations were recommended.