Miracle-dz/UniFAR-FTUs huggingface dataset:
Teacher Emotion Research: Introducing a Conceptual Model to Guide Future Research.

This article reports on the development of a conceptual model of teacher emotion through a review of teacher emotion research published between 2003 and 2013. By examining 82 publications regarding teacher emotion, the main aim of the review was to identify how teacher emotion was conceptualised in the literature and develop a conceptual model to illustrate the findings. Interestingly, few papers explicitly defined ‘emotion’ or ‘teacher emotion’ but described the functions of emotion (such as providing information) and influences on emotion (such as personal characteristics), so these were also used to build the conceptual model. The literature also highlighted the complexities of emotion, with implications for how teacher emotion should be studied. The model proposed aims to clarify how emotion research has been conceptualised within education research contexts.
PspC, a Pneumococcal Surface Protein, Binds Human Factor H

ABSTRACT PspC was found to bind human complement factor H (FH) by Western blot analysis of D39 (pspC+) and an isogenic mutant TRE108 (pspC). We confirmed that PspA does not bind FH, while purified PspC binds FH very strongly. The binding of FH to exponentially growing pneumococci varied among different isolates when analyzed by fluorescence activated cell sorting analysis.
Optimization of the Logistics of a Courier Business

The logistics is a horizontal function with a strategic impact at both the macro level of a country and the micro level of a company. In fact, well run logistics systems have a direct impact on the competitiveness of the economy of a country as a whole and increase the shareholder value of its constituent companies. To increase their margins, provide cost effective solutions while increasing the quality of service offered to their prospects and customers, transportation companies are continuously looking to decrease their cost while offering the service level customers expect. In this paper we consider the case of an actual international courier business willing to reduce its cost and enhance the quality of the service delivered, and we address the question of optimizing its “Fleet Routing”. It is a known problem for which we suggest a solution based on the “Ant Colony System” algorithm. The different simulations we carried out allowed us to reach scenarios where we decreased both cost and shipping time. In fact, we were able to slash delivery time by 35.75% and trim down the total trip distance by 30.48%.
Acute life threatening event (ALTE) in an infant with human coronavirus HCoV‐229E infection

In this short report we discuss the temporal association between an acute life threatening event (ALTE) and a RT‐PCR confirmed coronavirus HCoV‐229E infection in a 4 months old otherwise healthy infant. More detailed microbiological investigations of affected children even without apparent signs of a respiratory tract infection may help to clarify the etiology in some patients and extend our understanding of the pathogenesis. PCR‐based techniques should be utilized to increase the sensitivity of detection for old and new respiratory viral pathogens in comparable cases. Pediatr Pulmonol. 2007; 42:393–396. © 2007 Wiley‐Liss, Inc.
The price elasticity for alcohol in Sweden 1984–2003

■ Aims The article addresses the following research questions: (i) How strong is the price elasticity for beer, wine and spirits? (ii) How rapid is the effect of a price change? (iii) Is the price elasticity stable across time and space? (iv) Does an increase in price give a corresponding effect as a decrease? ■ Methods & Data The sales data cover Systembolaget's retail sales of beer, wine and spirits for the period from January 1984 to March 2004. The price indexes are based on weighted baskets deflated by a consumer price index. Most of the analyses were performed on quarterly data. The data were analysed using the Box-Jenkins technique for time series analysis. ■ Results The price elasticities—as estimated from quarterly data—were statistically significant for all beverages; –0.8 for beer, –0.6 for wine and and –1 for spirits. Similar estimates were obtained from monthly data, suggesting a fast consumer response to price changes. The elasticity for beer was weaker during the period 1995–2004 (-0.6) than during the period 1984–1994 (-1.4), but it was no different in southern Sweden than in the remainder of the country. An increase in the price of spirits seems to affect sales as much as a price decrease, that is, the price effect seems to be symmetric. Finally, the results indicated that since 1995 sales of beer and wine increased more, and spirits sales less, than predicted from the development in prices. ■ Conclusions The study confirms previous findings that the demand of alcoholic beverages is responsive to changes in price; however, price is not the sole factor that drives the trends in sales. The reduced elasticity for beer may be due to the marked drop in beer prices.
Heparin‐induced thrombocytopenia (HIT) due to heparin flushes: a report of three cases

Abstract. Kadidal VV, Mayo DJ, Horne MK (National Institutes of Health, Bethesda, MD 20892, USA) Heparin‐induced thrombocytopenia (HIT) due to heparin flushes: a report of three cases (Case Report). J Intern Med 1999; 246: 325–329.
Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models

Recently, the learning hidden unit contributions (LHUC) method is proposed for the adaptation of deep neural network (DNN) based acoustic models for automatic speech recognition (ASR). In LHUC, a set of speaker dependent (SD) parameters is estimated to linearly recombine the hidden units in an unsupervised fashion. Although LHUC performs considerably well, the gains diminish when the availability of the adaptation data amount decreases. Moreover, the per-speaker footprint of LHUC adaptation is in thousands and it is not desirable. Therefore, in this work, we propose the subspace LHUC, where the SD parameters are estimated in a subspace and connected to various layers through a new set of adaptively trained weights. We evaluate the subspace LHUC in the Aurora4 and AMI IHM tasks. Experimental results show that the subspace LHUC outperforms standard LHUC adaptation. With utterance-level fast adaptation, the subspace LHUC achieved 11.3% and 4.5% relative improvements over the standard LHUC for the Aurora4 and AMI IHM tasks respectively. Furthermore, the subspace LHUC reduces the per-speaker footprint by 94% over the standard LHUC adaptation.
[3H]Org 43553, the First Low-Molecular-Weight Agonistic and Allosteric Radioligand for the Human Luteinizing Hormone Receptor

The luteinizing hormone (LH) receptor plays a pivotal role in reproduction. The high-molecular-weight (HMW) human chorionic gonadotropin (hCG) and LH are the endogenous ligands of this receptor and bind to its large N terminus. The present study characterizes the binding of a new low-molecular-weight (LMW) radioligand, [3H]5-amino-2-methylsulfanyl-4-[3-(2-morpholin-4-yl-acetylamino)-phenyl]-thieno[2,3-d]pyrimidine-6-carboxylic acid tert-butylamide (Org 43553), at the LH receptor. Equilibrium saturation and displacement assays were developed and optimized. Specific binding of [3H]Org 43553 to CHO-K1 cell membranes expressing the human LH receptor and a cAMP response element-luciferase reporter gene was saturable with a KD value of 2.4 ± 0.4 nM and a Bmax value of 1.6 ± 0.2 pmol/mg protein. Affinities of five LMW analogs of Org 43553 were determined. All displaced the radioligand competitively, with Ki values ranging from 3.3 to 100 nM. Finally, the potency of these compounds in a cAMP-induced luciferase assay was also determined. There was a high correlation between affinity and potency (r = 0.99; P < 0.0001) of these compounds. In the search for LMW ligands, which bind allosterically to the seven-transmembrane domain of the LH receptor, a HMW radioligand (e.g., 125I-hCG) is not suitable as it is not displaced by a LMW compound. Therefore, [3H]Org 43553, a new radioligand with good binding properties, allows screening for new LMW ligands that mimic the action of the endogenous hormone at the LH receptor.
Guarantor Financing in a Four-Party Supply Chain Game with Leadership Influence

This study investigates manufacturer guarantor financing (MG) and third-party logistics (3PL) guarantor financing (LG) in a four-party supply chain game that features a manufacturer, a 3PL, a capital-constrained retailer, and a bank. The manufacturer or 3PL can act as the guarantor for the retailer who borrows bank credit. Two different leadership structures are investigated, namely, Nash game and manufacturer leadership Stackelberg game, where the manufacturer and 3PL decide simultaneously and sequentially, respectively. The supply chain under both leadership structures prefers guarantor financing to traditional bank financing when the supply chain is sufficiently cost-efficient. In the Nash game, however, firms encounter a free-rider dilemma when choosing between MG and LG, wherein both potential guarantors prefer the other to be the guarantor. This free-rider dilemma can be resolved in the Stackelberg game. We also observe the follower–guarantor advantage in the Stackelberg game, wherein all firms favor the follower to provide guarantor financing. Our analysis shows that the supply chain under guarantor financing with a longer decision hierarchy (i.e., the Stackelberg game) can be conditionally more effective than that with a shorter one (i.e., the Nash game). By further analyzing different cost structures, pricing mechanism, and retailer’s initial capital, we find that most of our qualitative results remain accurate under more sophisticated conditions. These findings enhance our understanding of the value of guarantor financing in a capital-constrained supply chain and the impact of leadership structure on financing decisions.
The efficient finite element method with impedance transmission boundary condition for computing optical waveguide modes

In this paper, we propose an efficient finite element method with impedance transmission boundary condition (ITBC) to significantly improve the numerical solutions of the optical waveguide problems. It utilizes the curl-conforming linear tangential and quadratic normal (LT/QN) edge elements to expand the tangential component of the electric field, and the second order nodal-based scalar basis functions to expand the longitudinal component. Furthermore, to avoid the very fine spatial discretization of thin lossy sheet, ITBC has been proposed for the FEM formulations. The graphene plasmonic waveguide verify that the FEM with ITBC technique has high efficiency.
METHODOLOGIES FOR ESTIMATING THE OUTPUT GAP WITH AN APPLICATION TO CYPRUS

Output gap estimates are used in the calculation of structural fiscal balance indicators which are subsequently employed for the surveillance of economic growth and stability. This paper reviews the main methodologies for estimating the potential output and output gap. Methodologies can be grouped into two categories: the non-structural ones, which are not based on economic theory and are mainly statistical procedures; and the structural methodologies, which are based on economic foundations. The main advantages and disadvantages of each group of methodologies are discussed. Special attention is given to the production function approach adopted by the European Commission for the surveillance of the EU member states. ♣ Email: polycarpou@ucy.ac. cy
Analysis of Genetic Diversity in Poeciloneuron pauciflorum Bedd.―An Endemic Tree Species from the Western Ghats of India

Poeciloneuron pauciflorum is a narrow endemic having highly restricted distribution in the southern-western Ghats region of India. 18 accessions of P. pauciflorum collected from four different locations were analyzed for genetic variation using 20 random primers. Out of 141 amplicons generated, 130 of them were polymorphic (92.20% polymorphism). Contrary to the general concept of low genetic variation associated with endemic plant species, P. pauciflorum exhibits high genetic diversity as the similarity index value based on Nei & Li’s similarity coefficient ranges from 0.36 to 0.95 with mean GS = 0.72 and Shannon’s information measure (0.43). Cluster analysis showed grouping of all accessions from the State of Tamil Nadu into two major clusters with few outliers while those from the State of Kerala also clustered with them. Accessions from Kalliankadu forest segment harbors maximum diversity as indicated by various genetic diversity indices like h, I, Ht, Hs, Gst, PL and hence this site is recommended for in situ conservation of this narrow endemic. The main factors responsible for the high level of genetic diversity among accessions are probably related to the reproductive isolation and ecological breadth. The strong genetic variability among accessions indicates that the management for the conservation of the genetic diversity in P. pauciflorum should aim to preserve every accession. The present study assumes significance as it negotiates endemism and genetic variation in tree species, a global phenomenon having wide implications in species diversity and conservation.
HEURISTIC TECHNIQUES IN PROJECT SEQUENCING

One of the problems faced by planners when designed an expansion plan for water resources systems is selecting the sequence of projects that satisfies a given demand at minimum cost, some prescribed time into the future. This problem is indeed closely related to what is generally known as the capacity expansion problem although unique local conditions at each project site result in a somewhat different problem formulation. To ensure an optimal solution to the project sequencing problem the usual approach has been to use dynamic programming techniques, although it suffers from the commonly known limits on problem size due to the associated excessive computational requirements. The need of planners in search of a practical screening method useful at all stages in the planning process, involving possibly a large number of projects, has led to the introduction of several heuristic algorithms. While such algorithms do not guarantee an optimal solution, their usefulness is based on the assumption that the solution obtained is close enough to being optimal for some practical purposes. Little has, however, been written about their performance in general. This paper deals with performance evaluation of several such algorithms. The algorithms are tested by creating a number of sequencing problems which are in turn solved by each of them as well as by dynamic programming. By keeping track of each algorithms performance for varying assumptions such as the shape of the demand function and the cost-capacity characteristics for individual projects, a performance profile is established for each algorithm. Such performance measure should be helpful when selecting the appropriate solution procedure to a project-sequencing problem for instance in a practical setting.
Synthesis of Cholesterol Analogues Bearing BODIPY Fluorophores by Suzuki or Liebeskind–Srogl Cross‐Coupling and Evaluation of Their Potential for Visualization of Cholesterol Pools

We report a synthetic route to BODIPY–cholesterol conjugates in which the key steps were Suzuki or Liebeskind–Srogl cross‐coupling of cholesterol phenyl moieties with structurally diverse BODIPY scaffolds. All conjugates feature single‐bonded and hydrophobic linkages between the fluorophore and sterol that are devoid of heteroatoms. Using HeLa cells, we show that these BODIPY–cholesterol analogues can be used simultaneously with the parent BODIPY–cholesterol for cell imaging and flow cytometry. The BODIPY–cholesterol analogues exhibit similar cellular localization in HeLa cells and show similar cholesterol efflux properties from THP‐1 cells to HDL acceptors. These results demonstrate that the red‐shifted BODIPY–cholesterol analogues behave in a manner similar to unlabeled cholesterol and are useful probes for simultaneous visualization of intracellular cholesterol pools and for monitoring cholesterol efflux from cells to extracellular acceptors.
Energy Consumption Measurement of C/C++ Programs Using Clang Tooling

While in the previous century computer manufacturers and software developers primary and single goal was to produce very fast computers and software systems, in this century this has changed: the widespread use of nonwired but powerful computer devices is making battery consumption/lifetime the bottleneck for both manufacturers and software developers. Unfortunately there is no software engineering discipline providing techniques and tools to help software developers to analyze, understand and optimize the energy consumption of their software! As a consequence, if a developer notices that his/her software is responsible for a large battery drain, he/she gets no support from the language/compiler he/she is using. The hardware manufacturers have already realized this concern and much work in terms of optimizing energy consumption by optimizing the hardware has been done. Unfortunately, the programming language and software engineering communities have not yet completely realize that bottleneck, and as consequence, there is little support for software developers to reason about energy consumption of their software. Although is the hardware that consumes energy, the software can greatly influence such consumption [Bener et al. 2014], very much like a driver that operates a car influences its fuel consumption. In this paper we introduce an automated instrumentation-based method to measure the process level energy consumption for C/C++ programs. The source code is compiled by our Clang tooling based compiler to produce an instrumented code. The generated executable will measure the energy con-
How Fast Do Students Forget What They Learn in Consumer Behavior? A Longitudinal Study

The retention curve for knowledge acquired in a consumer behavior course is explored in a longitudinal study, tracking individual students from 8 to 101 weeks following course completion. Rasch measurement is used to link tests and to achieve intervally scaled measures of knowledge. The findings indicate that most of the knowledge gained in the course is lost within 2 years. Evidence is provided that knowledge acquired at a deep level of understanding is more likely to be retained than knowledge acquired at a surface level of understanding, and knowledge tested more than once during a course is more likely to be retained than knowledge tested only once. No significant differences in retention were observed related to material covered in a project. Implications are discussed.
Silicon carbide based DSG MOSFET for high power, high speed and high frequency applications

In this paper, High Power Double Surrounding Gate(DSG) MOSFET with 4H-SiC as material has been studied. Also, the RF performance of DSG MOSFET has been investigated for various channel length and the results so obtained are compared with the conventional Surrounding Gate(SG) MOSFET, using ATLAS 3D device simulator. From the analysis, it is shown that cylindrical Double Surrounding Gate(DSG) MOSFET exhibits superior power and analog performance than conventional cylindrical Surrounding Gate(SG) MOSFET. DSG MOSFET has a number of desirable features, such as higher transducer power gain, better current gain, high on-state current, improved transconductance gm, high unity-gain frequency fT. The improvement is due to formation of two conducting paths because of the presence of two gates. Power has further been improved because Silicon Carbide has been used as material instead of Silicon.
Turbo source coding: a noise-robust approach to data compression

Summary form only given. All traditional data compression techniques, such as Huffman coding, the Lempel-Ziv algorithm, run-length limited coding, Tunstall coding and arithmetic coding are highly susceptible to residual channel errors and noise. We have previously proposed the use of parallel concatenated codes and iterative decoding for fixed-length to fixed-length source coding, i.e., turbo coding for data compression purposes. The work presented here extends these results and also considers the case when decompression must be done from compressed data corrupted by additive white Gaussian noise (AWGN).
To Study the Consumer Perceptions towards Building Self-motivation through Various Online Marketing Strategies

Abstract Marketers have long understood that consumers' self-concepts influence the products they purchase; conversely, products purchased influence people's self-concepts. Using the symbolic interactionist perspective of identity theory, this study empirically tests the proposition that online consumers use electronic word of mouth, and specifically the sharing of online advertising, to construct and express their self-concepts. The results suggest that self-brand congruity, entertainment value, and product category involvement increase the self-expressiveness of online ads, which then increase the likelihood of sharing those ads. These findings have both theoretical and managerial implications.
PENGARUH ZAKAT INFAQ DAN SADAQAH PRODUKTIF TERHADAP PERTUMBUHAN USAHA MIKRO DAN PENYERAPAN TENAGA KERJA SERTA KESEJAHTERAAN MUSTAHIK

The general aim of this study is to investigate the impact of productive and Zakah, Infaq and Sadaqah (ZIS) on the development of micro business and employment as well as the welfare of mustahik (recipient of ZIS). Furthermore, the specific aims of this study are: 1) to evaluate and analyze the impact of productive ZIS on mustahik micro business; 2) to evaluate and analyze the impact of productive ZIS on mustahik welfare; 3) to evaluate and analyze the impact of mustahik micro business on employment; and 4) to evaluate and analyze the impact of mustahik micro business development on mustahik welfare. The study was conducted in East Lombok District, West Nusa Tenggara, taking into consideration that this District is the only District/Municipal in West Nusa Tenggara that has Regional Regulations on . Data collection was conducted using survey sample method with 140 households as the study respondent. Quantitative approach was used to analyze data supported by qualitative and intuitive analyses. Quantitative approach used was the Partial Least Square (PLS), while data processing used SmartPLS version 2.0 M3 software program. Based on the analysis results, conclusion was drawn that although micro business development has no significant impact on welfare of mustahik , however in general the productive ZIS given as investment capital has a positive impact on micro business development and employment as well as mustahik welfare. In other words, investment capital given to mustahik can raise productivity of micro business and increase employment and welfare of mustahik. Study findings also indicate that welfare can be reached by anyone regardless of wealth including the mustahik. This is in line with Islamic view of welfare that is holistic and balanced in nature, has the dimension of this life and the afterlife reflected through sufficient material possession that is balanced with spiritual fulfilment, and not measured in abundant wealth. Keywords : Zakah, Infaq, Sadaqah, Productive and Mustahiq