Miracle-dz/UniFAR-FTUs huggingface dataset:
Tailoring the alignment of string-like nanoparticle assemblies in a functionalized polymer matrix via steady shear

Recent work has shown that nanoparticles (NPs) dispersed in a sequence specific functionalized polymer matrix can be organized into a variety of superstructures, such as strings, sheets, and percolated networks. However, these spontaneously formed structures are generally ordered within the short range. To exploit the use of NPs to their full potential, defect-free, long-range ordered NP organization is usually necessary. The use of a shear field may be an appropriate means to reach this objective due to its well-understood orientation effect. Therefore, the present study seeks to probe the effect of steady shear on the ordering of string-like NP assemblies in a functionalized polymer matrix on the basis of coarse-grained molecular dynamics simulations. We found that by properly tuning shear rate, the shear can induce one-dimensional alignment to the NP strings, and the emerging structures can remain stable after the cessation of shear, which is required for many applications such as the fabrication of nanomaterial arrays. The mechanism for forming such a well-defined structure can be interpreted from the competition among the NP mobility, polymer relaxation, NP-functional group interaction, and external shear effect. It may be expected that the information derived in the present study provides a useful foundation for guiding the design and preparation of tailored PNCs.
MICROWAVE IRRADIATION AS AN ALTERNATIVE PROCESS FOR BIODIESEL PRODUCTION USING MACAUBA OIL (Acrocomia aculeata)

: Macauba is an oleaginous palm tree widely found in Brazil. Its productive potential can reach 6000 kg of oil per hectare. In this study, crude vegetable oil was mechanically extracted from the mesocarp (pulp) of fresh Macauba fruit and subjected to physical-chemical determinations to analyse the following parameters: acid value, moisture content and kinematic viscosity. The results strongly indicate that Macauba palm oil is an alternative source of raw material for biodiesel production. Furthermore, concerning fatty acid composition, a predominance of unsaturated compounds was noted (75.92%) of which 63.21% are oleic acid, and 9.21% are linoleic acid. In this context, to produce ethyl esters, Macauba palm oil was subjected to alkaline transesterification by homogeneous catalysis, with microwave irradiation being applied to the heating step. The results indicated a conversion rate of 96.6%, for a molar ratio ethanol/oil of 12:1, a catalyst concentration equal to 1.0 wt% (KOH) and a reaction time equal to 60 seconds. ___________________________________________________________________________
The Moderation Effect of e-Trust and Big Data Quality in e-Grocery: An Empirical Research from Outside of Java Island.

E-grocery is the next big thing that change grocery retail landscape. Even in Indonesia still in the pilot phase towards success, e-grocers have started to retain e-loyalty of their customers. Although e-loyalty in e-grocery is important but it is less explored in e-commerce literature. Big data as part of industry 4.0 has been utilized in many retail include e-grocery and it plays important role to understand of consumer motivation and attract new customers. The purpose of this paper is to investigate the effect of e-trust and big data quality as moderating variable that help in building e-loyalty towards e-grocery business. An online survey was distributed to more than 130 respondents from many major cities outside of Java Island in Indonesia. Structural equation modeling was used and its results reflect the impact on e-loyalty. The main findings of this research are related with the importance of big data quality whether strengthen or not the relation between e-tailing quality and consumer motivation as antecedents of e-satisfaction that fostering e-loyalty in e-grocery business.
Sports Fans' Behaviors On Twitter: A Big Data Analysis of Sentiments 2018 World Cup Final Match

The purpose of the present study is to determine the words that came to the 5 forefront in the sharing of the fans on 2018 World Cup Final Match, the 6 most frequently expressions that were used together with these words, and 7 the emotional tendencies of the fans. For this purpose, 56.877 tweets that 8 were written in English and that were shared on Twitter on 2018 World Cup 9 Final Match were received through the software that is called “The R-10 Project”, and were then analyzed. According to the analysis results, it was 11 concluded that a total of twenty statements that were used with the highest 12 frequency in the sharing of the fans were positive; and it was also 13 determined that the positive emotional trend was dominant compared to the 14 negative trend no matter what the result of the final match was. As a result, 15 it may be claimed that the perceptions and reactions of the fans about the 16 World Cup Final Match are different from the competitions among the clubs 17 at national level, and that mostly the positive emotions came to the 18 forefront.
Finding influential users in microblogs: state-of-the-art methods and open research challenges

ABSTRACT Social networks are online platforms that people use for interaction, information sharing and propagation of new ideas. Finding influential users in online social networks is a significant research problem due to its vast research applications in information diffusion, marketing and advertising. The relevant literature presents several models proposed for identifying influential users in social networks. In this survey, we present a review of the most relevant studies on influential users mining in microblog networks. First, we propose a new taxonomy by classifying the influence finding algorithms into five main categories based on their underlying framework and baseline methods. Second, each study is analysed according to the proposed framework, experimental datasets, validation approaches and evaluation results. Finally, the survey concludes with discussion on applications from the relevant literature, exploring open research challenges and presenting possible future research directions. The findings of this survey indicate that influential users mining in microblogs has many applications in marketing, advertising and information diffusion. In addition, this survey can be used as a guideline, particularly by young researchers, for establishing a baseline before initiating a research or identifying attractive as well as relevant research insights.
Comparative Analysis of Pejerrey Fish (Odontesthes bonariensis) Gonadal Development During Two Consecutive Spawning Seasons in Relation to Sex Steroids and Temperature Variation in Cochicó Lake (Pampas Region, Argentina)

1Instituto Tecnológico de Chascomús, INTECH (CONICET-UNSAM), Laboratorio de Ictiofisiología y Acuicultura, Avenida Intendente Marino Km 8.200 (B7130IWA), Chascomús, Buenos Aires, Argentina. 2Instituto de Limnología “Dr. Raúl a. Ringuelet” ILPLA-(CONICET-UNLP), Boulevard 120, Casco Urbano, 1900 La Plata, Buenos Aires, Argentina. 3Dirección Provincial de Pesca. Ministerio de Agroindustria de la provincia de Buenos Aires.
A new finite element approach to model microscale strain localization within olivine aggregates

Abstract. This paper presents a new mesoscopic full field approach for the modelling of microstructural evolutions and mechanical behavior of olivine aggregates. The mechanical framework is based on a reduced crystal plasticity (CP) formulation which is adapted to account for non-dislocation glide strain-accommodating mechanisms in olivine polycrystals. This mechanical description is coupled with a mixed velocity/pressure finite element (FE) formulation through a classical crystal plasticity finite element method (CPFEM) approach. The microstrutural evolutions, such as grain boundary migration and dynamic recrystallization, are also computed within a FE framework using an implicit description of the polycrystal through the level-set approach. This numerical framework is used to study the strain localization, at the polycrystal scale, on different types of pre-existing shear zones for thermomechanical conditions relevant to laboratory experiments. We show that both fine-grained and crystallographic textured pre-existing bands favor strain localization at the sample scale. The combination of both processes has a large effect on strain localization, which emphasizes the importance of these two microstructural characteristics (texture and grain size) on the mechanical behavior of the aggregate.
Description de la typicité aromatique de vins de Bourgogne issus du Cépage Chardonnay

La typicite aromatique de 23 vins blancs de Bourgogne issus du cepage Chardonnay est evaluee par 32 oenologues au cours de 3 seances. De maniere independante, une caracterisation de l'odeur et de l'arome de chaque vin est fournie par chaque sujet sous la forme d'un choix libre de 5 descripteurs au plus.Les vins se repartissent selon 3 groupes de typicite croissante sans rapport net avec les appellations. Sept descripteurs-clefs de l'odeur et de l'arome du Chardonnay de Bourgogne s'imposent: miel, vanille, pain grille, beurre frais, boise, floral et noisette. De plus, une liste de 9 autres descripteurs auxiliaires est etablie. Une analyse des correspondances permet de dresser une carte aromatique des vins etudies. Les vins de la Cote de Beaune sont separes des vins du Chablisien, du Maconnais et de la cote Chalonnaise en raison des notes davantage boisee, vanillee et pain grille des premiers et des notes davantage florale et miel des seconds. Les 3 groupes de typicite ne sont pas separes dans cette carte, soulignant ainsi la complexite de la typicite du Chardonnay de Bourgogne.
Diagnostic and Prognostic Value of microRNAs for Environmental Exposure to Asbestiform Fibers Causing the Malignant Mesothelioma

Veronica Filetti University of Catania Carla Loreto University of Catania Luca Falzone University of Catania Claudia L Lombardo University Of Catania Emanuele Cannizzaro University of Palermo: Universita degli Studi di Palermo Sergio Castorina University of Catania Caterina Ledda (  cledda@unict.it ) Universita degli Studi di Catania https://orcid.org/0000-0003-0739-8798 Venerando Rapisarda University of Catania
Impression of Company Size, Profitability, Earning Coefficient Response (ERC) Through Timeliness

This study examines how firm size and profitability can influence ERC through timeliness. This research is exploratory. The test model used is the path analysis model. The population used by this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2014-2018 period. The method used in sampling is purposive sampling method. The number of companies that met the assessment criteria was 58 companies, so that the number of observations during 2014 2018 was 290 observations. Data collection techniques using documentation data. The data analysis technique in this study used descriptive statistics and classical assumption tests and path analysis. Based on the results, it can be concluded that company size and profitability do not have a positive effect on timeliness, company size and profitability that are interacted with the EU has no effect on ERC, while the timeliness of submitting financial reports that are interacted with the EU has an effect on ERC. Firm size and profitability have no effect on ERC with timeliness as an intervening variable.
Spatial Scale-Depended Characteristic Of Moss and Soil C, N, P and K Stoichiometry and Their Relationships In A Temperate Desert of Central Asia

Background and aims: Previous studies showed that moss stoichiometric characteristics were influenced by moss patch size and shrubs in desert. Study of moss stoichiometry in different spatial scales is crucial for understanding of growth and adaptation strategy of the mosses in temperate desert. Methods: In this study, the dominant moss (Syntrichia caninervis Mitt.) of biological soil crusts, and soil under the moss patches in the Gurbantunggut Desert were selected to determine their stoichiometry in different dunes and sites. Carbon (C), nitrogen (N), phosphorus (P) and potassium (K) contents of the moss and soil, and soil available nutrients were measured. Results: Moss stoichiometry and soil available nutrients were significantly influenced by changes in spatial distance scales except for moss C. The scaling exponents of moss N, P and K elements between above-ground and below-ground parts were 0.251, 0.389, 0.442, which were less than 1. The N vs. P scaling exponents were 0.71, 0.84 in above-ground and below-ground parts of moss. Moss C, P and K elements content in above-ground parts higher than that in below-ground parts. Moreover, moss N, P and K elements were influenced by MAP, longitude and soil nutrients. Conclusion: This study provided the C, N, P and K stoichiometric characteristics of desert moss and explored their relationships with environmental variables, which can help understand nutrient stoichiometry patterns and utilization strategy of N, P and K and their potential responses to global climate changes in the desert ecosystem of central Asia.
Validation and Optimal Cut-Off Score of the WHO-5 as a Screening Tool for Depression among Young Adults in Malaysia

As depression has become a major disease burden in Malaysia, an easy-to-use tool with good psychometric is urgently needed to facilitate the screening process. The current study investigated the psychometric qualities of the 5-item World Health Organization Well-being Index (WHO-5) and the optimal cut-off point for depression screening in the Malaysian context. A total of 610 undergraduate students answered an online survey consisting of the English version of the WHO-5 and Patient Health Questionnaire-9 (PHQ-9). Confirmatory factor analysis supported the single-factor model. The WHO-5 also demonstrated good reliability and concurrent validity. Moreover, receiver operating characteristic analysis indicated that ≤ 13 was the optimal threshold with acceptable sensitivity and specificity. The results support the usability of the WHO-5 to screen for depression among young adults in Malaysia. Moreover, the findings are also consistent with the literature highlighting the potential of the WHO-5 as a cross-cultural tool for depression screening.
The Moderating Role Of Change Management And Leadership Turnover: A Study Of Performance Accountability In Local Goverment

The purpose of this study is to provide empirical evidence of the effect of the goverment internal control system and transparency on performance accountability by considering change management and leadership turnover as the moderating variable. This study was conducted on Local Goverment Organization (OPD) of Muara Enim Regency. The unit of analysis is 118 employees whose work are involved in the preparation of performance accountability. This study using Structural Equation Modelling (SEM) statistical techniques with SmartPLS 3. This study finds that goverment internal control system and transparency has positive influence on performance accountability. Furthermore showed that change management doesn’t moderated the relationship between goverment internal control system and transparency on performance accountability. Leadership turnover successfully moderated the relationship between goverment internal control system and performance accountability. However leadership turnover doesn’t moderated the relationship between transparency and performance accountability. The results of this study can be used as evaluation material for the local government of Muara Enim Regency in the implementation of internal control system and transparency to achieve accountability of government performance. In addition, by looking at the factors of change management and change of leadership can provide benefits to local governments in carrying out tasks and obligations.
NDC-IVM: An automatic segmentation of optic disc and cup region from medical images for glaucoma detection

Glaucoma is an eye disease that usually occurs with the increased Intra-Ocular Pressure (IOP), which damages the vision of eyes. So, detecting and classifying Glaucoma is an important and demanding task in recent days. For this purpose, some of the clustering and segmentation techniques are proposed in the existing works. But, it has some drawbacks that include inefficient, inaccurate and estimates only the affected area. In order to solve these issues, a Neighboring Differential Clustering (NDC) — Intensity Variation Masking (IVM) are proposed in this paper. The main intention of this work is to extract and diagnose the abnormal retinal image by identifying the optic disc. This work includes three stages such as, preprocessing, clustering and segmentation. At first, the given retinal image is preprocessed by using the Gaussian Mask Updated (GMU) model for eliminating the noise and improving the quality of the image. Then, the cluster is formed by extracting the threshold and patterns with the help of NDC.
Large time behavior of solutions to a chemotaxis system with singular sensitivity and logistic source

In this paper, we study the following chemotaxis system with singular sensitivity and logistic source ut=Δu−χ∇·uv∇v+ru−μuk,x∈Ω,t>0,vt=Δv−v+u,x∈Ω,t>0,in a smooth bounded convex domain Ω⊂Rn ( n≥2 ) with the non‐flux boundary, where χ,r,μ>0,k>2 . The boundedness of solutions has been proved in the case that n≥2 , k>3(n+2)n+4 and r, χ>0 satisfying χ2
Drilling the Aptian–Albian of the Sergipe–Alagoas Basin, Brazil: paleobiogeographic and paleoceanographic studies in the South Atlantic

Abstract. The Aptian–Albian interval is characterized by significant paleoclimatic, paleoceanographic, and paleogeographic changes, which in turn affected the distribution and evolution of marine ecosystems. Despite the importance of such studies, there have been few correlations between Aptian–Albian sections of the Tethys Sea and those of the South Atlantic Ocean. This interval, including the Aptian–Albian transition, is preserved in the deposits of the Riachuelo Formation (Sergipe–Alagoas Basin, Brazil) located in the South Atlantic Ocean; therefore, this location was chosen for drilling four new cores. The goals of this paper are as follows: (1) to explain the drilling operation carried out in the deposits of the Riachuelo Formation and the methods used; (2) to present a brief lithostratigraphic characterization of the holes and the paleomagnetic data of core SER-03; and (3) to describe the high potential of the cores recovered for additional investigation in the future. The lithostratigraphic units of the SER-01 core consist mainly of coarse- to fine-grained sandstone, shales, marls, and mudstones; the SER-02 core was excluded due to low recovery; the SER-03 core is mainly composed of fine-grained sediments (shale, marls, and packstone) and bears some ammonite shells; the lithology of core SER-04 is mainly sandstones. Magnetic susceptibility values ( χ lf and χ hf) and frequency-dependent susceptibility ( χ fd) data suggest that the section is located within the Cretaceous Normal Superchron. Future studies on these cores integrating micropaleontological, paleoichnological, geochemical, stratigraphic, and paleomagnetic (e.g., relative intensity) data will allow for a better understanding of paleoceanographic and paleogeographic events related to the early evolution of the South Atlantic Ocean and how these events correlate to similar events in Tethyan sections.
Role of Diffusion Tensor Imaging in Parkinson's Disease Diagnosis

Background: Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease that affects the dopamine-containing neurons. In this study, the role of the Diffusion Tensor imaging (DTI) method was investigated in the detection of PD. Objectives: The purpose of this study was to investigate the microstructural damage of the brain's white matter in PD using a non-invasive DTI technique. Methods: Twenty patients with PD were studied with comprehensive clinical assessments and DTI data. Also, 10 normal subjects were investigated. Fractional anisotropic (FA) and mean diffusivity (MD) values were calculated by drawing region of interest (ROI) on eight distinctive areas of the brain. Results: The level of FA and MD in substantia nigra (SN) was significantly different between the PD and healthy control (HC) groups. Also, differences were found in DTI parameters between PD and HC groups in some regions, such as genu, anterior limb of internal capsule (ALIC), splenium, and putamen. Conclusions: To summarize, DTI as a non-invasive method can be useful in the detection of Parkinson's disease.
Characterisation of Steinernema abbasi (Rhabditida: Steinernematidae) isolated from Indian agricultural soils and their efficacy against insect pests

ABSTRACT Ten Steinernema abbasi isolates were obtained during a soil survey in Western Uttar Pradesh, India. The nematode isolates were characterised using morpho-taxometrical and molecular approaches, and their biopesticide properties against two lepidopteran pests (i.e. Helicoverpa armigera and Spodoptera litura) were assessed. In addition, their Xenorhabdus bacterial symbionts were isolated, and physiologically and molecularly characterised. Lastly, the geographical dissemination of Steinernema abbasi was studied using meta-analyses of their ITS rDNA NCBI GenBank records. The morphology of the nematode isolates of this study was comparable with the S. abbasi specimens used in the original description with the only discrepancy that well-developed mucrons were observed in the second generation males and females of this study. The analyses of ITS rDNA from NCBI records show that S. abbasi is ubiquitous throughout the Indian subcontinent but rarely reported from South East Asia. There are no reports of this species outside of Asia. The bacterial symbionts of S. abbasi isolates show the phenotypic and molecular similitude with Xenorhabdus indica. Bioassays showed that the nematode isolates were highly virulent against cotton bollworm (Helicoverpa armigera) and tobacco cutworm (Spodoptera litura) larvae. This species being native to Indian Subcontinent could be explored further as a biocontrol agent.
Lateral Strength Evaluation of Ferrocement Strengthened Masonry Infilled RC frame Based on Experimentally Observed Failure Mechanisms

In developing countries, lateral strengthening of seismically vulnerable masonry infilled RC buildings is one of the major concern. In this context, ferrocement can be used as a low cost and less labor-intensive strengthening scheme for those buildings. This study aims to experimentally identify major failure mechanisms, and to develop a lateral strength evaluation procedure of ferrocement strengthened masonry infilled RC frame. Subsequently, ductility of all of the identified major failure mechanisms is compared. Mainly four major failure mechanisms (i.e. overall flexural, column punching-joint sliding, diagonal compression, and diagonal cracking-sliding) are identified from the current experimental work and past experimental studies. The strength evaluation procedure, based on the identified failure mechanisms, is proposed and verified with an average calculated to experimental lateral strength ratio of 0.8. Among the identified failure mechanisms, overall flexural, and diagonal cracking-sliding mechanisms showed relatively ductile behavior when compared to the ductility of column punching-joint sliding, and diagonal compression failure mechanism.