Miracle-dz/UniFAR-FTUs huggingface dataset:
SOURCE APPORTIONMENT OF VOCS BY RECEPTOR MODELLING IN AN URBAN SITE IN HA NOI

Volatile organic compounds (VOCs) are atmospheric pollutants of concern because of the health effect including carcinogenic risk of some o f their species and the contribution in the formation of tropospheric ozone. The levels of VOCs in Hanoi were demonstrated to be higher than neighboring countries by previous research. Th e ozone potential formation (OFP) of VOCs was also some folds higher than others. Among trans portation sources, VOCs were proved to be mainly emitted from motorbikes. The contribution pe rcentages of transportation and other sources such as industrial, biomass burning sources are till remained unknown. In this research we applied chemical mass balance (CMB) receptor mod elling to determine VOCs source apportionment. One week VOCs observation data at Ha noi University of Science and Technology in June 2017 was applied for investigati on. Fourteen VOC species among 55 of which were applied for CMB modelling. Transportatio n and biomass burning source profiles were developed by monitoring in this study. Four ot her source profiles, namely gasoline evaporation, industrial production, cooking and pai nt that were compiled or calculated from previous studies. The results showed that the main sources of VOCs were vehicular emission, biomass burning, and gasoline evaporation contribut ing 37 %, 21 % and 20 % for VOCs levels, respectively. Other sources contributed for the lef tover. The results can support to initiate policy for future control of VOCs.
An efficient step method for a system of differential equations with delay

Using the step method, we study a system of delay differential equations and we prove the existence and uniqueness of the solution and the convergence of the successive approximation sequence using the Perov’s contraction principle and the step method. Also, we propose a new algorithm of successive approximation sequence generated by the step method and, as an example, we consider some second order delay differential equations with initial conditions.
Melting in the martian mantle: Shergottite formation and implications for present‐day mantle convection on Mars

Abstract— Radiometric age dating of the shergottite meteorites and cratering studies of lava flows in Tharsis and Elysium both demonstrate that volcanic activity has occurred on Mars in the geologically recent past. This implies that adiabatic decompression melting and upwelling convective flow in the mantle remains important on Mars at present. I present a series of numerical simulations of mantle convection and magma generation on Mars. These models test the effects of the total radioactive heating budget and of the partitioning of radioactivity between crust and mantle on the production of magma. In these models, melting is restricted to the heads of hot mantle plumes that rise from the core‐mantle boundary, consistent with the spatially localized distribution of recent volcanism on Mars. For magma production to occur on present‐day Mars, the minimum average radioactive heating rate in the martian mantle is 1.6 times 10−12 W/kg, which corresponds to 39% of the Wanke and Dreibus (1994) radioactivity abundance. If the mantle heating rate is lower than this, the mean mantle temperature is low, and the mantle plumes experience large amounts of cooling as they rise from the base of the mantle to the surface and are, thus, unable to melt. Models with mantle radioactive heating rates of 1.8 to 2.1 times 10 −12 W/kg can satisfy both the present‐day volcanic resurfacing rate on Mars and the typical melt fraction observed in the shergottites. This corresponds to 43–50% of the Wanke and Dreibus radioactivity remaining in the mantle, which is geochemically reasonable for a 50 km thick crust formed by about 10% partial melting. Plausible changes to either the assumed solidus temperature or to the assumed core‐mantle boundary temperature would require a larger amount of mantle radioactivity to permit present‐day magmatism. These heating rates are slightly higher than inferred for the nakhlite source region and significantly higher than inferred from depleted shergottites such as QUE 94201. The geophysical estimate of mantle radioactivity inferred here is a global average value, while values inferred from the martian meteorites are for particular points in the martian mantle. Evidently, the martian mantle has several isotopically distinct compositions, possibly including a radioactively enriched source that has not yet been sampled by the martian meteorites. The minimum mantle heating rate corresponds to a minimum thermal Rayleigh number of 2 times 106, implying that mantle convection remains moderately vigorous on present‐day Mars. The basic convective pattern on Mars appears to have been stable for most of martian history, which has prevented the mantle flow from destroying the isotopic heterogeneity.
LISTING STATUS, FAMILY FIRM AND THE COST OF BANK LOAN FINANCING

This research examines the impact of firm’s listing status on the relationship between corporate governance and cost of bank loans. The analysis yields four major findings after controlling for firm characteristics and prime interest rate. First, the financing cost of debt is higher for private firms. This result confirms that information risk is higher for private firms. Second, family firms enjoy lower cost of debt. The result found is consistent with the literature that family firms are related to a lower cost of debt financing. Third, that family firms having lower cost of debt is only found in listed firms. This evidence supports the prediction based on the lack of market perspective which suggests that the family effect requires a capital market to make it substantiate. Finally, strong corporate governance helps reduce financing cost of debt. However, these governance effects are not affected by the listing status. In other words, commercial lenders in this study price indifferently for good governance mechanisms regardless of public or private firms.
Determination of Lignin Monomer Contents in Rice Straw Using Visible and Near-infrared Reflectance Spectroscopy

Genetic modification of plant lignin composition is an important strategy for improving biomass enzymatic digestibility without sacrificing the normal growth of the plant. However, the absence of fast and convenient methods for rapid determination of lignin composition has impeded corresponding research. Near-infrared reflectance spectroscopy (NIRS) analysis has potential as a solution for this dilemma, while the NIRS measurement for expediently assaying lignin composition in rice straws is still lacking. In this study, visible and near-infrared reflectance spectroscopy (VIS/NIRS) and modified partial least squares (MPLS) method were combined to develop calibration models for predicting the lignin monomer contents in a diverse rice population. Four optimal equations for predicting the content of p-hydroxyphenyl (H), guaiacyl (G), and syringyl (S) lignin units and their total amount (H + S + G) were generated with acceptable determination coefficients for calibration (0.85 to 0.93), cross-validation (0.75 to 0.88), and external validation (0.82 to 0.88), and the ratio performance deviation (RPD, 2 to 3.01). This study was the first to demonstrate that VIS/NIRS could give a sufficiently accurate prediction of lignin monomer contents in rice and could be applied for rapid assessments of large-scale rice straw samples.
Performance Characteristics Of Non-Arc Double Stator Permanent Magnet Generator

The improvement in the power density in the double stator configurations is feasible with increase in the electrical loading of the electrical machines. This type of newer configuration is finding significant applications in improvising energy generation, more commonly for renewable energy generation. Various double stator configurations with non-arc permanent magnet machines for power density are modelled and analyzed in this paper. Finite Element Method (FEM) is used to simulate for the generation capability including the electromagnetics parameters such as flux linkage and open circuit voltage. A new slotted rotor structure is evolved based on the magnetic flux flow control inside the machine. The proposed structure is then fabricated in the laboratory and tested for operating characteristics with load circuit. The proposed machine produces a maximum power of 600W at speed of 2000 rpm with 75% of maximum efficiency with the micro-hydro generation unit.
A Decision Model for Fuzzy Clustering Ensemble Yanqiu

Recent researches and experiments have showed that clustering ensemble approaches can enhance the robustness and stabilities of unsupervised learning greatly. Most of them focused on crisp clustering combination. However, in this paper, we offer a decision model based on fuzzy set theory for fuzzy clustering ensemble. Firstly, obtain the optimal partition called “expert” from H individual fuzzy partitions generated by fuzzy c-means algorithm. Then, use fuzzy voting scheme to generate the majority judger. Finally, the two matrixes are combined by Decision Model. Experimental results show the effectiveness of the proposed method comparing to the results based on crisp clustering.
Service Learning as a Pedagogy of Interruption.

As a teacher, educator, and strong advocate for service learning, I became very interested in both the opportunities and the limitations of current approaches to service learning. This article begins to sketch an as yet unrealized relational approach to service learning, drawing on ideas about encounters with Others in the work of the philosopher Emmanuel Levinas. The first part of the article offers a brief introduction to the field of service learning and explores problematic aspects related to traditional and critical approaches in service learning initiatives, where ideas of objective knowledge of self and Other, teleological notions of progress, and server–served relationships limit possibilities of engagement and transcendence. The second part of the article draws on post-structuralist ideas in education to propose a distinction between the desire ‘to learn from the Other’ and the risky and difficult disposition to be open ‘to being taught by the Other’ (Biesta, 2012). I propose a strategic step beyond the limitations of traditional and critical approaches to service learning, where difference is seen as a productive and indispensable force, and where education is about encountering the world/ the Other and being altered by it.
Population consequences of individual heterogeneity in life histories: overcompensation in response to harvesting of alternative reproductive tactics

Alternative reproductive tactics (ARTs) are examples of individual heterogeneity in which males adopt one of typically two alternative strategies to mate with females: males are either large, armed fighters or small, benign sneakers. ART expression is often conditionally determined, and variation in the expression of conditional ARTs due to genetic and/or environmental influences can greatly affect population composition and trajectory. For example, ecological feedback mechanisms resulting from strong density-dependent competition over food have been suggested to explain the observation that the harvesting of scramblers (= sneakers) in closed populations of the bulb mite Rhizoglyphus robini did not result in an increase (expected from quantitative genetics theory) but decrease in fighter expression. Here, we exposed closed bulb mite populations to selective fighter or scrambler harvesting for 5–6 generations under abundant food (to halt ecological feedbacks through density-dependence) to confirm predictions from quantitative genetics theory. However, we found no evolutionary shift in ART expression; rather, we observed an overcompensatory ecological response, whereby the number of fighters increased when we harvested them. Treatment effects on scrambler numbers could not be tested as there were too few in the experimental populations. Further experiments revealed that starved fighters preferentially killed immature males and immature fighters; possibly to reduce male-male competition as e.g. immature fighters have not yet developed their lethal weaponry. If this is so, then harvesting adult fighters reduced the killing pressure on immature males in our experiment, which resulted in an overcompensatory number of immature fighters that matured as adults. Our results highlight the complexity of how individual heterogeneity in ARTs affects the ecological and evolutionary processes that determine population fluctuations.
Forecasting Aus Rice Area and Production in Bangladesh using Box-Jenkins Approach

Forecasting of rice area and production is an essential procedure in supporting policy decision regarding food security and environmental issues. The main aim of this paper is to forecast Aus rice area and production in Bangladesh. Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) time-series methodology is considered for modeling and forecasting country's Aus rice area and production data commencing from 1971-72 to 2013-14. It was observed that ARIMA (1, 1, 5) and ARIMA (1, 1, 4) model were performed better than the other ARIMA models for forecasting Aus area and production respectively. The Aus rice areas were forecasted 1041.12 and 499.31 thousand hectares and for production it was 2059.642 and 1781.545 thousand metric tons in 2014-15 and 2023-24 respectively. The forecasted Aus rice area and production both were showed a decreasing trend. Government should create an enabling environment to develop HYV rice varieties for Aus rice crop to ensure ongoing food security by increasing cultivated area and production. Bangladesh Rice j. 2016, 20(1): 1-10
Quantum Cryptography Without Basis Switching

Quantum cryptography is one of the most interesting and popular fields in quantum information today. Its chief benefit lies in exploiting principles of quantum mechanics to offer absolute security in the transmission of information. This thesis introduces a new continuous variable quantum cryptographic protocol. The main difference between our protocol and all previous ones, is the elimination of switching between measurement bases a step that was thought crucial in maintaining security. Our theoretical analysis shows that by eliminating switching of measurement bases from the protocol, we still maintain the required security, but also achieve significantly higher secret key rates than any other known continuous variable quantum cryptographic protocol.
3D Monte Carlo simulation modeling for the electrical conductivity of carbon nanotube-incorporated polymer nanocomposite using resistance network formation

High electrical and thermal conductivity associated with high stiffness and strength offer tremendous opportunities to the development of a series of carbon nanotube incorporated composite materials for a variety of applications. In particular, a small amount of carbon fibers or carbon nanotubes in a non-conductive polymer will transform a composite into a conductive material, which reveals superb potential of their future application in electronic devices. The relation between the amount of carbon nanotubes in a polymer and the electrical conductivity of it can be studied experimentally as well as theoretically with various simulation models. A three-dimensional (3D) Monte Carlo simulation model using resistance network formation was developed to study the relation between the electrical conductivity of the polymer nanocomposite and the amount of carbon nanotubes dispersed in it. In this model, carbon nanotubes were modeled as curvy cylindrical nanotubes with various lengths and fixed tube diameter, all of which were randomly distributed in a non-conductive constrained volume, which represents polymer. The model can be used to find the volumetric electrical resistance of a constrained cubic structure by forming a comprehensive resistance network among all of the nanotubes in contact. As more and more nanotubes were added into the volume, the electrical conductivity of the volume increases exponentially. However, once the amount of carbon nanotubes reached about 0.1 % vt (volume percentage), electrical percolation was detected, which was consistent with the experimental results. This model can be used to estimate the electrical conductivity of the composite matrix as well as to acquire the electrical percolation threshold.
Relationship between Spokesperson’s Gender and Advertising Color Temperature in a Framework of Advertising Effectiveness

Abstract Advertising spokesperson is one of the undeniably important factors affecting advertising effectiveness. However, advertising spokesperson has to have some particular features to be effective. Various previous researches resulted in determination of different features of advertising spokesperson and their effectiveness; i.e. type of a spokesperson (celebrity vs. a regular person); gender and race of a spokesperson; etc. were found to have an impact on the spokesperson’s effectiveness. However, the research on the impact of shooting color temperature on its effectiveness is still scarce. Moreover, an assumption can be made that color temperature might cause a different effect depending on advertising spokesperson’s gender. The aim of this paper is to fill this gap by analyzing the relationship between spokesperson’s gender and advertising color temperature in a framework of advertising effectiveness. Neuromarketing research methods were applied to meet the aim and to determine the guidelines for its usage in advertising.
On Vorticity Prediction Using Limited Rotated Richtmyer Scheme

In this paper, a study on limited Rotated Richtmyer scheme is performed with a focus on vorticity prediction. It will be mathematically and numerically demonstrated that the Rotated Richtmyer scheme coupled with a TVD limiter can retain both irrotational and rotational flow when solving pure acoustics equations. However, the limited Rotated Richtmyer scheme cannot preserve irrotational flow if the advection terms are included.
Adoption and Diffusion Speed of New Technology with Network Externality in a Two-level Supply Chain : An Approach to Relative Factors in Buyer-Supplier Relationships

This paper develops a model to predict the adoption and level of usage of network technology in a two-level supply chain with buyer-supplier relationships. A firm`s adoption of a new technology depends not only on its own beliefs of the new technology`s costs and benefits, but also on the adoption decisions of other firms in the supply chain. A model first analyzes an individual supplier`s decision about a new technology adoption considering with multiple suppliers and buyers. Individual suppliers` decisions are aggregated with a population model to project how new technology diffuses across the supply chain and examine the pattern of diffusion process. This study found that as more firms adopt in initial periods, the total amount of information to the potential adopters in the population increases, and then the number of firms persuaded by the information increases as the process moves up the distribution of adoption process. We consider three factors influencing the diffusion speed of the new technology in a supply chain network : mean benefits, cost sharing, and information provision. This study examines how such factors affect the reduction of threshold levels, which implies that reductions in threshold levels have an aggregate effect by accelerating the rate of adoption. In particular, we explore relationship factors available in practice in a buyer-supplier relationship and numerically examines how these relationship factors contribute to increase the diffusion speed of the technology in a two-level supply chain.
USING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE OF FUZZY CLASSIFICATION SYSTEMS

This paper considers the automatic design of fuzzy rule-based classification systems based on labeled data. The classification performance and interpretability are of major importance in these systems. In this paper, we utilize the distribution of training patterns in decision subspace of each fuzzy rule to improve its initially assigned certainty grade (i.e. rule weight). Our approach uses a punishment algorithm to reduce the decision subspace of a rule by reducing its weight, such that its performance is enhanced. Obviously, this reduction will cause the decision subspace of adjacent overlapping rules to be increased and consequently rewarding these rules. The results of computer simulations on some well-known data sets show the effectiveness of our approach.
Autologous Stem Cell Transplantation—An Important Step Toward Improving Survival in Multiple Myeloma

proliferation of plasma cells. It accounts for 10% of hematological cancers and 1% of all cancers. The disease is uniformly fatal with a median survival of approximately three years with conventional chemotherapy (CC), although the outlook has improved with the integration of newer therapies including high-dose therapy followed by autologous stem cell transplantation (HDT-ASCT). Currently, multiple myeloma is the most common indication for ASCT in North America and Europe. ASCT remains the standard of care in eligible patients <65–70 years of age (although age is not a criteria in the US) performed either up-front or at relapse: it is mostly performed up-front after induction therapy. The attainment of complete response (CR) is held to be a surrogate for improved survival and is the aim of ASCT.
TEACHERS AND STUDENTS IN USE OF ICT IN TEACHING AND LEARNING

Information and Communication Technology (ICT) is beginning to be recognised as one of the major instructional components especially in science subjects. This study sought to investigate the status of ICT in the teaching and learning of physics in secondary schools. Among other objectives, it investigated management’s and technical support given to physics teachers and students. It was conducted in Kimilili District, Bungoma County, Kenya. A descriptive survey design was adopted. The target population comprised 23 secondary schools in the district out of which 11 schools that have had computers for at least three years were selected using a combination of stratified, purposive and random sampling procedures. This study involved 11 secondary school principals, 30 physics teachers and 250 Form Three students comprising 83 girls and 167 boys. Questionnaires, interview guide, lesson observation schedule and document analysis guide were employed in data collection. Data collection was preceded by a pilot study mainly to determine the validity and reliability of the instruments, which gave Cronbach’s alpha coefficient of 0.85 and 0.78 for Physics Students’ Questionnaire and Physics Teachers’ Questionnaire respectively. The data collected during the study was analysed using Statistical Package for Social Sciences (SPSS) version 17.0. Descriptive statistics comprising frequency counts, percentages, means and correlations were utilised in the analysis of the data. It was found that management and technical support was moderate; mainly in the provision of ICT facilities and employment of computer teachers respectively. The use of ICT in lesson delivery was low due to factors such as inadequate facilities and lack of appropriate ICT skills among others. This study recommends sensitization of school managers on importance of ICT, the need to invest more in ICTskills in teachers and lastly, invest in basic ICTresources.