Miracle-dz/UniFAR-FTUs huggingface dataset:
Transition characteristics of driver's intentions triggered by emotional evolution in two‐lane urban roads

Driver's intention is a self-internal state that represents a commitment to carrying out driving action at the next moment, which could be affected by driver's emotion. Therefore, understanding driver's emotion is an important basis for developing driver intention recognition models. This study aims to gain a better insight of the characteristics of driver intention transition trigged by driver's emotion. The Hidden Markov model was used to develop a driver intention recognition model with the involvement of driver's emotions. Assorted materials including visual, auditory and olfactory stimuli were used to evoke driver's emotions before the driving experiments, as well as keep and increase the emotional level during driving. Real and virtual driving experiments were conducted to collect human-vehicle-environment dynamic data in two-lane roads. The results show that the proposed model can achieve high accuracy and reliability in estimating driver's intention transition with the evolution of driver emotion. Our findings of this study can be used to develop the personalized driving warning system and intelligent human-machine interaction in vehicles. This study would be of great theoretical significance for improving road traffic safety.
Photocatalytic and antibacterial effects of silver nanoparticles fabricated by Bacillus subtilis SJ 15

ABSTRACT Nanoparticle fabrication by microorganisms is highly remarkable due to its control over the size and shape. In the current study, Bacillus subtilis SJ 15 isolated from soil has been confirmed to have the potential to form silver nanoparticles (AgNPs) using UV-visible spectroscopy, FT-IR spectroscopy, XRD, scanning electron microscopy (SEM), high-resolution transmission electron microscopy, and energy-dispersive spectroscopy (EDS) analysis. The synthesized AgNPs showed promising antimicrobial activity and excellent photocatalytic degradation of methylene blue. As the synthesized AgNPs were confirmed to have the potential to be exploited as a nanomedicine or as a catalytic agent for next generation dye degradation systems, the obtained result is highly remarkable.
Factors Affecting the Decision to Shop Online Via E-Commerce Platforms in Vietnam

The purpose of this study is to develop a better understanding of factors affecting online shopping behavior via e-commerce platforms among Vietnamese consumer. The survey was conducted online by 346 consumers in Vietnam to test the proposed conceptual model of online shopping intention using multiple regression analysis. The research methodology used in this study is combining TAM and TPB (C-TAM-TPB). The results support all proposed hypotheses. Perceived Usefulness, Perceived Ease of Use, Perceived Risk, Social Influence and Awareness of Behavior Control are the factors that have direct impacts (positive and negative) on online shopping decisions of Vietnamese consumers via e-commerce platforms. Based on the findings, business managers can have a better understanding of online shopping behavior of Vietnamese consumers. Especially, e-commerce marketers should develop strategies to promote customers' purchasing decisions among Vietnamese consumers. There is positive evidence to show that Vietnamese e-commerce platforms have enormous potentials for development; meanwhile, the e- commerce industry in Vietnam are becoming more competitive. The findings of this study are expected to help marketers and businesses remain competitive via proposed managerial implications.
Evaluation of policies for regional development: Unifesspa actions for social inclusion and empowerment in Pará Amazônia

Objective: The purpose of this article is to compare the actions of UNIFESSPA for the territorial development of the municipalities in their campuses. The second objective is to present the budget management trajectory in the years 2015 to 2020 in the institution, as a source to subsidize the actions of its provinces. Methodology: Institutional documents were analyzed, National Policy for Regional Development (NPRD), 2005, the Institutional Development Plan of UNIFESSPA 2014-2020 and the Management Reports 2015, 2016, 2017 and 2018, and the Budget Management Plans of 2019 and 2020. Results: The resource framework of UNIFESSPA in the years 2015 to 2020 corroborates to measure the growth of the institution, however, there was a continuous fall in resources from the federal government, via the Ministry of Education, which can hinder the strengthening of the university's actions. Limitation or implication of the research: The main limitation is related to obtaining the new version of the Institutional Development Plan for the next quadrennium, 2020-2024. Originality: Present the relationship between (NPRD) and the Federal Government's Program to Support Plans for Restructuring and Expansion of Brazilian Federal Universities, delimited by the case of UNIFESSPA in Southern Pará, from 2013 to 2020.
Immuno electron microscopic study on the origin of milled wood lignin

This work explores the use of antibody probes produced to milled wood lignin (MWL) for the visualization of this biopolymer by immuno-electron microscopy. We were particularly interested in the pattern of antibody labelling of MWL in various wood cell wall layers, as the application of immunocytochemical technique allowed the detection and localization of specific antigen (MWL in the present work) in the wood cell walls.
Measurements of Water Flow Rate and Slip Length in Single Nanopipes

Author(s): Mallin, David | Advisor(s): Taborek, Peter | Abstract: We have experimentally measured flow rates of water through hydrophilic and hydrophobic single pipes with diameters ranging from 10 $\mu$m to 200 nm. We developed a method of coating the pipes with a hydrophobic polymer roughly 2 nm thick and verified the hydrophobic nature of the pipes after treatment. The exact diameters of the tubes were measured using a gaseous flow impedance test or imaged directly via scanning electron microscopy. The flow rates through both the hydrophobic and hydrophilic pipes agree with theory for viscous Poiseuille flow and are effectively indistinguishable from each other.
DDOS Botnets Attacks Detection in Anomaly Traffic: A Comparative Study.

One of the major challenges that faces the acceptance and growth rate of business and governmental sites is a Botnet-based DDoS attack. A flooding DDoS strikes a victim machine by means of sending a vast amount of malicious traffic, causing a significant drop in the service quality (QoS) in IoT devices. Nonetheless, it is not that easy to detect and tackle flooding DDoS attacks, owing to the significant number of attacking machines, the usage of source-address spoofing, and the common areas shared between legitimate and malicious traffic. New kinds of attacks are identified daily, and some remain undiscovered, accordingly, this paper aims to improve the traffic classification algorithm of network traffic, that hackers use to try to be ambiguous or misleading. A recorded simulated traffic was used for both samples; normal and DDoS attack traffic, approximately 104.000 cases of each, where both datasets -which were created for this study- represent the input data in order to create a classification model, to be used as a tool to mitigate the risk of being attacked. The next step is putting datasets in a format suitable for classification. This process is done through preprocessing techniques, to convert categorical data into numerical data. A classification process is applied to capture datasets, to create a classification model, by using five classification algorithms which are; Decision Tree, Support Vector Machine, Naive Bayes, K-Neighbours and Random Forest. The core code used for classification is the python code, which is controlled by a user interface. The highest prediction, precision and accuracy are obtained using the Decision Tree and Random Forest classification algorithms, which also have the lowest processing time.
Association Between Different Lipid Ratios and Diabetes in Chinese Adults With H-type Hypertension

Background: Previous studies have shown that lipid ratios [total cholesterol (TC)/high-densitylipoprotein cholesterol (HDL-C), atherogenic index of plasma (AIP, lg [triglyceride (TG)/HDL-C]), low-density lipoprotein cholesterol (LDL-C)/HDLC, non-HDL-C/HDL-C] were associated with the risk of diabetes in non-hypertension population. However, the relationship between different lipid ratios and diabetes is unclear in the H-type hypertension population. The purpose of this study is to investigate the relationship between lipid ratios and diabetes in Chinese adults with H- type hypertension.Methods: The current study included 13,581 H-type hypertension participants from the China hypertension registry study. Logistic regression analysis and smooth curve fitting were used to assess the association between different lipid ratios and diabetes.Results: Prevalence of diabetes was 17.8%. All lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were positively and independently associated with diabetes. In the fully adjusted model, AIP manifested the largest ORs of diabetes (OR:2.84, 95%CI:2.37-3.41). However, the fully adjusted ORs (95%CI) of TC/HDL-C, LDL-C/HDL-C and non-HDL-C/HDL-C ratio was only 1.34 (1.27, 1.43), 1.40 (1.29, 1.51), 1.42 (1.35, 1.50), respectively. Comparing the area under receiver-operating characteristic curve (AUC), we found that AIP had the stronger ability to identify diabetes.Conclusions: all lipid ratios (TC/HDL-C, AIP, LDL-C/HDL-C, and non-HDL-C/HDL-C) were independently and positively correlated with the risk of diabetes in the Chinese population with H-type hypertension. Compared with other lipid ratios (TC/HDL-C, LDL-C/HDL-C, and non-HDL-C/HDL-C), AIP was superior in discriminating diabetes.
Incorporation of High-Mobility and Room-Temperature-Deposited CuxS as a Hole Transport Layer for Efficient and Stable Organo-Lead Halide Perovskite Solar Cells

The most widely used hole transport layer (HTL) for n-i-p perovskite solar cells (PVSCs), 2,2′,7,7′-tetrakis(N,N-di-p-methoxyphenylamine)-9,9′-spirobifluorene (spiro-OMeTAD), suffers a severe degradation from the permeation of moisture and direct contact with the metal electrode, mainly due to hygroscopic additives and the presence of pinholes in the spiro-OMeTAD film. To overcome this problem, we developed a stable inorganic copper-based chalcogenide (CuxS, x = 1.75) that can cooperate with spiro to serve as the HTL for planar n-i-p PVSCs. The CuxS HTL has two main functions: 1) enhancing hole transport due to its high intrinsic mobility and proper energy level alignment, resulting in a better charge transfer and reduced charge recombination; 2) protecting the spiro layer from damage from both moisture and the top Au anode, through the formation of a physical hydrophobic buffer layer. PVSCs with enhanced power conversion efficiencies (PCEs) are realized through this simple approach, yielding the highest PCE of 18.58% and a steady-state PCE of 17.91%. Furthermore, benefiting from the hydrophobic nature of CuxS, PVSCs retained over 90% of their initial efficiency, even after storage in air with approximately 40% humidity for 1000 h without encapsulation. This study demonstrates that CuxS is a potential hole transport material for fabricating low-cost and efficient PVSCs with long-term stability.
Antecedents of employee performance in public services

This research conducted to confirm the effect of Task-Technology Fit (TTF), transformational leadership, and job satisfaction on employee performance. The study was conducted on 15 KPPN as an agency of the Directorate General of Treasury, Ministry of Finance in East Java, Indonesia with the method of saturated samples (census) to 412 employees with a Likert scale of five points. Structural Equation Model (SEM) approach used and finally 216 questionnaires processed with AMOS ver. 26. The findings confirm if Task-Technology Fit (TTF), transformational leadership, and job satisfaction have a significant effect on employee performance and job satisfaction as partial mediation in the model.
A Neural Network Scheme for Monetary Policy Rate Validation in Nigeria

This research work is an exploratory study that tried to examine the viability of adopting artificial neural network (ANN), an aspect of machine learning in the analysis of monetary data for the design and validation of monetary policy from both optimistic and normative approach. Methodologically, the research is motivated by the work of [33] which used the Greenbook real time data of the U.S. Federal Reserve's in the analysis of monetary policy reaction functions in forecasting performance using ANN. Following the work on the adoption of this technique, we tried to develop a framework based on machine learning for policy rate forecasting by analysing macroeconomic data with the aim of guiding and aiding monetary authority in making monetary policy decisions. From the results, the ANN perform better in predicting the monetary policy rate compared to the linear models and the univariate process. It also revealed the non-linearity in the behavior of the monetary policy rate in Nigeria during the study period. While the work does not mean to advocate that machine will replace human-being in policy rate determination in the monetary policy-making process; we believe that the development and implementation of this system would support building effective prediction system which can be validated. The result from the designed system is expected to enhance credibility, confidence and transparency of central banks in making an independent decision (s) based on objective forecasts and implied analysis in setting policy through a well-structured comparison of results.
Electronic Property of PdSe2 Thin Films Fabricated by Post-selenization of Pd Films

: At present, the approaches to fabricate PdSe 2 thin films mainly focus on mechanical exfoliation and chemical vapor deposition. In this study, we report a simple and efficient method to fabricate PdSe 2 thin films on SiO 2 /Si substrates. Firstly, a Pd metal layer was deposited on a SiO 2 /Si substrate using magnetron sputtering. Then the PdSe 2 thin film was obtained through selenization of the Pd layer at certain temperatures in a vacuum quartz ampule containing Se powder. According to the cross-sectional high-resolution transmission electron microscopy (HRTEM) image, the as-grown PdSe 2 thin film has an average thickness of about 30 nm. The correlation between selenization temperature and electronic transport properties of PdSe 2 thin films was investigated. PdSe 2 thin films with a hole carrier concentration of ~10 18 cm –3 and a mobility of ~48.5 cm 2 ·V –1 ·s –1 are realized at a low selenization temperature of 300 ℃ . It is worth noting that the mobility obtained by the vacuum selenization is superior to that of the p-type PdSe 2 thin films fabricated by mechanical exfoliation from bulk PdSe 2 single crystals. In addition, a relatively large room-temperature magnetoresistance (MR) of 12% is achieved for the PdSe 2 thin films selenized at 300 ℃ . With the increase in the selenization temperature from 300 ℃ , mobility and magnetoresistance decrease due to the evaporation of Se element at high temperatures. This work demonstrates that present one-step selenization process is a facile and efficient approach to synthesize PdSe 2 films, which could actually be used to prepare PdSe 2 films in a large scale and may have potential applications for next-generation electronic and magneto-electronic devices.
Panchina Calcarenite: A Building Material from Tuscany Coast

The “Panchina” calcarenite widely outcrops along the Tuscan coastline from Livorno to Baratti (western Tuscany). It is a stone, highly porous with medium sized grains rich in organogenic carbonate fragments, mainly consisting in shells of bivalves, gastropods, and echinoderms visible to the naked eye or by using a lens. In the framework of the ongoing research on the building stones and mortars used throughout the Middle Ages in and surrounding the Pisa’s city (western Tuscany), this study focuses on the determination of the main physical and mechanical properties of “Panchina” stone samples from Livorno coast (Tuscany, Italy). The “Panchina” stone is no longer quarried and data is collected from unweathered rocks sampled from currently accessible outcrops. The data collected on twenty-eight samples from six outcrops of the Tuscan coast showed that the analysed specimens are made up of abundant calcite, subordinate quartz and feldspars, and traces of phyllosilicates. The analysed samples are characterized by medium-high porosity, highly variable water absorption by both capillarity and total immersion at atmospheric pressure, low uniaxial compressive resistance. Thanks to the good physical and mechanical properties that characterize the stone, the “Panchina” calcarenite is easy to work and extensively used in the necropolis of the Gulf of Baratti since Etruscan times and, in medieval times, in various public and religious buildings in the city of Pisa.
Molecular Diagnosis of Chronic Respiratory Disease Associated with Mycoplasma gallisepticum in Ducks

Chronic respiratory disease is considered as one of the most economically significant diseases of poultry, caused by several pathogens. Among them, M.gallisepticum is the most important pathogen causing CRD in chickens (Ley and Yoder, 1997) and infectious sinusitis in turkey. Chronic Respiratory Disease affects mainly chicken, but turkey, pheasants, geese, pigeons, psittacine birds and rarely ducks are also getting infected. The disease is characterized by coryza, conjunctivitis, respiratory rales and sneezing in chicken. The present study describes the molecular detection of M.gallisepticum among ducks from a private farm in Thrissur district. The owner reported that the birds have been treated with antibiotics like Co-trimoxazole, Amoxycillinclavulanic acid and Enrofloxacin and were not responding to the therapy. The birds were submitted to the department of Veterinary Pathology, COVAS, Mannuthy for International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 11 (2020) Journal homepage: http://www.ijcmas. com
Application of biofertilizer in degraded pasture modified C dynamics and improved forage yield in a short-term period at the tropical region

Recovery of degraded pastures improves the sustainability of meat and milk production systems. Humic acids (HA) and endophytic diazotrophic bacteria (EDB) are known to have bio-stimulating effects on several crops but have not been tested for the recovery of degraded pastures. The aim of the present study was to evaluate soil C and N dynamics, nutrient uptake and forage yield of Brachiaria decumbens following the foliar application of HA and EDB in a degraded pasture. A randomized block design with six replications was used. The four treatments were: HA, EDB, HA+EDB and Control. The subplots consisted of four evaluation times for soil characteristics: before treatment application (0) and 30, 60 and 120 days after treatment application (ATA). Soil total organic carbon (TOC), recalcitrant carbon (Crecal), labile carbon (Clabil), total nitrogen (TN) and C and N stocks were determined in the 0-5, 5-10, 10-20 and 20-40 cm of soil layers. Forage yield and leaf nutrient contents were evaluated at 30 days ATA. The application of the HA and EDB increased the TOC, Clabil, soil C stock (≈18%), forage dry matter yield (16 to 52%) and nutrient uptake (≈30%) after 30 days ATA. Our results showed that the application of HA combined with EDB may be a strategy for the recovery of degraded pastures in the tropical region.
Data federation through on-demand queries in intelligent transport systems

The paper proposes a federated approach to data integration in intelligent transport systems when data are requested from various sources using the on-demand query technique rather than traditional approach when data are accumulated in a single storage. The proposed approach is designed to reduce the number of data manipulations, thereby increasing the processing speed and reducing the necessary computing resources. The study was carried out on synthetically generated data: 10 data sources are used; each of them consists of 650000 records. Data federation reduces the memory used by an average of 53%, while the time of virtual federal database creation is on average 71% less than the traditional integration approach implementation. The approach to data federation is designed for implementation in intelligent transport systems of a new generation, where it is required to process large amounts of data coming from various heterogeneous sources.
Molecular and fibrillar structure collagen analysis by FTIR spectroscopy

The main component of connective tissue and human organs — collagen protein is widely used in tissue engineering, regenerative medicine and cosmetology. The new methods search for assessing the structural and qualitative characteristics of collagen is currently an urgent area. This research is devoted to analyze by FTIR spectroscopy the various structural forms of collagen during the transition from molecular to fibrillar form and also collagen fibrils destruction. It was shown that during the formation of fibrils in the IR spectra, a peak arise with a wavenumber of 1083 cm−1. The magnitude of this peak can be used to judge the degree of fibrillation of molecular collagen in vitro. It was shown that the addition of a hydrogen peroxide solution with concentrations of 0.6, 1.5, and 3% in the initial solution with fibrillar collagen leads to the destruction of fibrils, which manifests itself in a noticeable fading of the peak with a wavenumber of 1083 cm−1.
Small‐signal‐based study of a two stage AC/DC and DC/DC battery charger using battery one time constant model

This study focuses on considering battery one time constant model in the design of controllers of a two-stage AC/DC and DC/DC battery charger using the small-signal approach. For this aim, small-signal models of DC/DC and AC/DC converters and also the battery model are obtained. Moreover, the effect of disturbance terms are analysed to be omitted in controller loops. Simulation and experimental results of a 1 kW laboratory prototype show appropriate performance of designed controllers in tracking reference signals. Also, tuned controllers using this approach have guaranteed unity power factor and low total harmonic distortion. Furthermore, a complete charge cycle of a lithium-ion battery evaluates the performance of the converter in different constant current/voltage controlling modes. In comparison with restive model consideration, results show a more accurate model with grater damping ration and better stability characteristics.