Miracle-dz/UniFAR-FTUs huggingface dataset:
FACTORS AFFECTING STUDENT’S SATISFACTION ON TECHNOLOGY-ENHANCED LEARNING IN HIGHER EDUCATION

-Technology-enhanced learning method has been adopted worldwide in order to develop globalised competitiveness among graduates. It becomes very important to examine the other side i.e., student’s satisfaction on technology-enhanced learning, especially in a state like Chhattisgarh where limited number of students are engaged in online educational resources. This research investigates various factors affecting the student’s satisfaction on technology-enhanced learning in higher education in Chhattisgarh, India. The primary data were collected based on the usage of technology-enhanced learning resources from 600 students studying in different government and private universities and colleges. Authors used purposive sampling technique with inclusion criteria of having used any online learning resources for at least one year. Step wise multiple regression analysis using SPSS was incorporated to test the conceptual framework of the research. To test the reliability and validity of the instrument used in the study, Smart PLS software was applied. The results indicated that informational quality, compatibility, subjective norms, subject interest and institutional branding of technology-enhanced learning is found to have positive and significant influence on student’s satisfaction on technology-enhanced learning whereas resource availability and self-efficacy variables did not provide significant effect on satisfaction of students for online learning.
Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions

1 Introduction to Locally Convex Topological Vector Spaces and Dual Pairs. - 1. Locally Convex Vector Spaces. - 2. Hahn-Banach Theorems. - 3. Dual Pairs. - Notes and Remarks. - 2 Radon Measures and Integral Representations. - 1. Introduction to Radon Measures on Hausdorff Spaces. - 2. The Riesz Representation Theorem. - 3. Weak Convergence of Finite Radon Measures. - 4. Vague Convergence of Radon Measures on Locally Compact Spaces. - 5. Introduction to the Theory of Integral Representations. - Notes and Remarks. - 3 General Results on Positive and Negative Definite Matrices and Kernels. - 1. Definitions and Some Simple Properties of Positive and Negative Definite Kernels. - 2. Relations Between Positive and Negative Definite Kernels. - 3. Hubert Space Representation of Positive and Negative Definite Kernels. - Notes and Remarks. - 4 Main Results on Positive and Negative Definite Functions on Semigroups. - 1. Definitions and Simple Properties 86 2. Exponentially Bounded Positive Definite Functions on Abelian Semigroups. - 3. Negative Definite Functions on Abelian Semigroups. - 4. Examples of Positive and Negative Definite Functions. - 5. T-Positive Functions. - 6. Completely Monotone and Alternating Functions. - Notes and Remarks. - 5 Schoenberg-Type Results for Positive and Negative Definite Functions. - 1. Schoenberg Triples. - 2. Norm Dependent Positive Definite Functions on Banach Spaces. - 3. Functions Operating on Positive Definite Matrices. - 4. Schoenberg's Theorem for the Complex Hilbert Sphere. - 5. The Real Infinite Dimensional Hyperbolic Space. - Notes and Remarks. - 6 Positive Definite Functions and Moment Functions. - 1. Moment Functions. - 2. The One-Dimensional Moment Problem. - 3. The Multi-Dimensional Moment Problem. - 4. The Two-Sided Moment Problem. - 5. Perfect Semigroups. - Notes and Remarks. - 7 Hoeffding's Inequality and Multivariate Majorization. - 1. The Discrete Case. - 2. Extension to Nondiscrete Semigroups. - 3. Completely Negative Definite Functions and Schur-Monotonicity. - Notes and Remarks. - 8 Positive and Negative Definite Functions on Abelian Semigroups Without Zero. - 1. Quasibounded Positive and Negative Definite Functions. - 2. Completely Monotone and Completely Alternating Functions. - Notes and Remarks. - References. - List of Symbols.
Rheological Behaviour of Nickel -Titanium Powder Mixture Feedstock Prepared by Dual Assymetric Centrifuge (DAC) Speed Mixer

Preparation of porous NiTi alloy by Metal Injection Moulding (MIM) requires several important steps, starting from mixing of elemental powders with polymeric binder until the final process of sintering. In this present work, some initial findings on the powder-binder mixture, so called feedstock were investigated. Theoretical density of Nickel, Titanium and NiTi powders which were determined using pycnometer are 8.97 g/cm 3 , 4.58 g/cm 3 and 6.36 g/cm 3 respectively. The composition for Nickel and Titanium powders mixture studied was 56wt% Ni - 44wt% Ti or nearly around 50.9at% Ni – 49.1at% Ti and mixing torque analysis performed using a Brabender Mixer suggested two powder-binder volume fractions of 61%vol and 64%vol. The elemental powders of Nickel and Titanium with particle size of 20 µm and 22 µm were mixed along with water soluble binder system comprised of Polyethelene Glycol/Polymethyl-metacrylate/Stearic Acid (PEG/PMMA/SA) by a Dual-Asymmetric Centrifuge (DAC) speed mixer. The feedstock prepared was evaluat-ed by flow analysis using Capillary Rheometer at four different temperatures; 120ºC, 130ºC, 140ºC and 150ºC and morphological analysis by scanning electron microscopy (SEM). Results showed that DAC technique used in the present work promoted significantly fast processing of MIM feedstock in comparison with conventional method. Besides, the feedstock prepared exhibited good flow behavior, particularly at the temperature of 140ºC, which is supported by SEM morphology that showed uniform powder-binder bonding.
The role of miR-377 on atrial fibrillation by regulating calcium channel proteins

[Abstract] (cid:542) Objective (cid:542) To explore the effect of targeted regulation of miR-377 on atrial fibrillation (AF)-associated ion channel protein by means of overexpression and interference. Methods (cid:542) The study designs 4 groups as follows: overexpression, interference, negative control and blank groups. The recombinant luciferase reporter plasmids, miR-377 mimics and negative control mimics were co-transfected into HEK293 cells, and the relative activity of luciferase in each group was assayed. MiR-377 mimics, inhibitor and negative control mimics were transfected into H9C2 cells to investigate the effect on regulation of target gene expression and function. Results (cid:542) The relative activities of CACNA1C recombinant plasmids luciferase were lower in miR-377 overexpression group than that in negative control group (0.316 ± 0.006 vs 0.455 ± 0.008, P =0.009). The mRNA levels of CACNA1C and CACNB2 showed no significant difference in overexpression group or interference group compared with that in negative control group. The CACNA1C protein expression was inhibited by miR-377 mimics-transfected H9C2 cells, and L-type calcium current peak density decreased from –3.23 ± 0.64pA/pF to –2.26 ± 0.16pA/pF ( P <0.05). Conclusion (cid:542) Voltage-gated L-type calcium channel alpha subunit CACNA1C is probably the direct target gene of miR-377, and it may become a new AF intervening target in future by influencing CACNA1C expression, L-type calcium current as well as AF electrical remolding.
Title A conceptual framework of impression management: new insights from psychology, sociology, and critical perspectives

In this paper we develop a conceptual framework, based on the concepts of rationality and motivation, which uses theories and empirical research from psychology/behavioural finance, sociology and critical accounting to systematise, advance and challenge research on impression management. The paper focuses on research which departs from economic concepts of impression management as opportunistic managerial discretionary disclosure behaviour resulting in reporting bias or as ‘cheap talk’. Using alternative rationality assumptions, such as bounded rationality, irrationality, substantive rationality and the notion of rationality as a social construct, we conceptualise impression management in alternative ways as (i) self-serving bias, (ii) symbolic management and (iii) accounting rhetoric. This contributes to an enhanced understanding of impression management in a corporate reporting context.
THE LARGE MAGELLANIC CLOUD'S TOP 250: CLASSIFICATION OF THE MOST LUMINOUS COMPACT 8 μm SOURCES IN THE LARGE MAGELLANIC CLOUD

To ascertain the nature of the brightest compact mid-infrared (mid-IR) sources in the Large Magellanic Cloud (LMC), we have applied an updated version of Buchanan et al.'s Two Micron All Sky Survey (2MASS)–Midcourse Space Experiment (MSX) color classification system, which is based on the results of Spitzer Space Telescope spectroscopy, to a mid-IR (8 μm) flux-limited sample of 250 LMC objects for which 2MASS and MSX photometry is available. The resulting 2MASS–MSX (“JHK8”) color-based classifications of these sources, which constitute the most mid-IR-luminous objects in the LMC, were augmented, cross-checked, and corrected where necessary via a variety of independent means, such that only 46 sources retain tentative classifications and only 10 sources cannot be classified at all. The sample is found to consist primarily of carbon-rich asymptotic giant branch (AGB) stars (35%), red supergiants (RSGs) (18%), and compact H ii regions (32%), with additional, small populations of oxygen-rich AGB stars (∼5%), dusty, early-type emission-line stars (∼3%), and foreground, O-rich AGB stars in the Milky Way (∼3%). The very large ratio of C-rich to O-rich objects among the luminous and heavily dust-enshrouded AGB stars in our LMC IR source sample is consistent with the hypothesis that carbon stars form easily in lower metallicity environments. We demonstrate that very luminous C-rich and O-rich AGB stars and RSGs, identified here primarily on the basis of their JHK8 colors, also appear as distinct clusters in Spitzer Infrared Array Camera (IRAC)/Multiband Imaging Photometer for Spitzer (MIPS) color–color diagrams. Thus, in principle, the infrared spectrograph (IRS)-based IR photometric classification techniques applied here to the LMC can be applied to any external galaxy whose most luminous IR point sources are detectable and resolvable by 2MASS and Spitzer.
Collaborative Mapping and the Reliability of Volunteered Data

— Participation platforms, such as OpenStreet Map.org or Wheelmap.org represent a shift from a world defined by the few to a world where almost everyone can participate voluntarily. Emerging cultures of participation offer powerful mechanisms to raise awareness of some of today's most pressing societal problems. However, just because citizens could contribute to these platforms, does not mean that they will actually do it. Engaging volunteers and offering straight-forward means of participation whilst simultaneously ensuring that volunteers meet the necessary quality standards remains a known challenge. In this paper, we explore the robustness of a collaborative mapping process, specifically collecting accessibility data of cities' built environment. The paper combines theoretical considerations from the field of participatory de-sign and actual data from the authors' recent experiences with crowdsourcing open accessibility information. Finally, the paper makes the case for enhancing a categorical approach to mapping with a stronger consideration of a map's purpose and a healthy scepticism towards overly simplified crowdsourcing mechanisms.
A Numerical Technique For Simulating Viscoelastic Free Surface Flows Using The K-Bkz Integral Constitutive Equation

This work presents a numerical technique for simulating viscoelastic free surface flows governed by the K-BKZ integral constitutive equation. The numerical method solves the governing equations using the finite difference method on a staggered grid. The equation of motion is integrated by the GENSMAC methodology. The fluid surface is modeled by the marker-and-cell method which provides the visualization and the location of the fluid free surface. The full free surface stress conditions are employed. The Finger tensor is computed using the ideas of the deformation fields method. The integrand of the integral constitutive equation is approximated by a linear piecewise function which is integrated exactly and the transport term of the Finger strain tensor is approximated by a high order upwind scheme. Numerical results showing the convergence of the numerical method developed in this work for the flow in a two-dimensional channel are presented. In addition, the simulations of the flow through a planar 4:1 contraction and jet buckling are given.
Quantum frequency down-conversion of single photons in nonlinear optical waveguides

In this work, we experimentally study quantum frequency conversion of single photons from the visible spectral range (input) to a wavelength that lies in one of the low-loss telecom wavelength bands around 1. 3μm or 1. 55μm (output). To this end, we use difference frequency generation (DFG) in nonlinear optical waveguides made of periodically poled LiNbO3. The DFG process is driven by a strong coherent light field that is delivered by a home-built 532-nm-pumped continuous-wave optical parametric oscillator based on bulk periodically poled LiTaO3. We demonstrate two efficient schemes: frequency down-conversion from 738 nm to 1560 nm and from 711 nm to 1310 nm. In the first case, we have employed faint laser pulses to emulate single photons at 738 nm and extensively investigate noise effects. An external (internal) conversion efficiency of 8 % (73 %) was achieved and spontaneous Raman scattering was identified as a main noise source. In the second case, we used true single photons from an InP quantum dot. Here the external (internal) efficiency was 32 % (≥ 64 %). We demonstrate the preservation of the photon lifetime and of nonclassical intensity correlations under frequency down-conversion. Compared with the first process, a much better signal-to-noise ratio was observed in the second process. The results hold great promise with regard to the implementation of on-demand telecom single-photon sources and future quantum networks.
Diversity and Distribution of Escherichia coli Genotypes and Antibiotic Resistance Phenotypes in Feces of Humans, Cattle, and Horses (cid:1)

Escherichia coli is the most completely characterized prokaryotic model organism and one of the dominant indicator organisms for food and water quality testing, yet comparatively little is known about the structure of E. coli populations in their various hosts. The diversities of E. coli populations isolated from the feces of three host species (human, cow, and horse) were compared by two subtyping methods: ribotyping (using HindIII) and antibiotic resistance analysis (ARA). The sampling effort required to obtain a representative sample differed by host species, as E. coli diversity was consistently greatest in horses, followed by cattle, and was lowest in humans. The diversity of antibiotic resistance patterns isolated from individuals was consistently greater than the diversity of ribotypes. E. coli populations in individuals sampled monthly, over a 7- to 8-month period, were highly variable in terms of both ribotypes and ARA phenotypes. In contrast, E. coli populations in cattle and humans were stable over an 8-h period. Following the cessation of antibiotic therapy, the E. coli population in the feces of one human experienced a rapid and substantial shift, from a multiply antibiotic- resistant phenotype associated with a particular ribotype to a relatively antibiotic-susceptible phenotype associated with a different ribotype. The high genetic diversity of E. coli populations, differences in diversity among hosts, and temporal variability all indicate complex population dynamics that inﬂuence the usefulness of E. coli as a water quality indicator and its use in microbial source
Beyond and for

Deploying real WSN testbed provides a realistic testing environment, and allows users to get more accurate test results. However, deploying real testbed is highly constrained by the available budget when the test needs a large scale WSN environment. By leveraging the advantages of both simulators and real testbed, an approach that integrates simulation environment and testbed can effectively solve both scalability and accuracy issues. In this paper, we present NetTopo for providing both simulation and visualization functions to assist the investigation of algorithms in WSNs. One case study is described to prove the effectiveness of NetTopo.
An Architecture for Semantically Enriched Data Stream Mining

—Data stream mining (DSM) techniques can be used to extract knowledge from continuous data streams. In this paper, we present an approach providing a modelling and execution architecture for networks of DSM operators. It can be applied in resource-constrained environments, and provides capabilities for semantic enrichment of data streams. This allows processing of streams not only based on information contained in the streams, but also on their semantic contexts. The approach consists of a DSM runtime system, a concept for semantic tagging of stream elements, the integration of semantic information stores, and a domain-speciﬁc DSM network description language. A small ambient assisted living scenario is presented as an example application.
MENTALNO ZDRAVLJE I MEDIJI - MOGUĆNOSTI PROMOCIJE

Summary: Numerous researches show that media have an important role in crea-tion and maintaining of the negative image, and of different misconceptions and „myths“ related to people with mental pro-blems and disorders. Results of the research are not so unonimous when related to promotion of positive images and strengthening of positive attitudes. The well known fact that one in four people at some time in life has a mental problem or disorder, illustrates great need for health services. One part of those services is not delivered because there are no resources for them. The bigger part, in our system, is not delivered because there is stil discrimination and stigmatization of people with mental disorders, and subsequently, hesitation in demanding these services, since a visit to psychiatrist „labels“. The autors of-fer their view of possibilities for promotion of positive attitudes, promotion of mental health, but also of future work needed to im-prove position of both – people with mental disorders and services that provide mental healthcare, through the joint efforts with media representatives.
Microlensing search for extra solar planets

Gravitational microlensing may be used to probe distant stars for planetary companions. The presence of a planet in the vicinity of a star acting as the lens may cause a short lived anomaly in the observed lightcurve of the lensing event. By quantifying these anomalies we may place limits on the mass of the companion relative to the lens as well as the position of the planet relative to the primary lens. The detection probability is proportional to mp, where mp is the planet mass. All current follow-up teams use dedicated observations on a preselected sample of mainly high-amplification events. Microlensing has yet to yield an undisputed planetary detection. In chapter 1 we give an introduction to the field of extra-solar planets and proceed to present the theory employed in microlensing studies in chapter 2. Chapter 3 deals with the principles of data aquisition and data reduction techniques that provide the high precision photometry needed for these studies. In the data analysis presented in chapters 4 and 5 of this thesis, we use a different observing approach. We spread our observing time between many targets obtaining 1 to 2 frames per night on each event. Our aim is not to characterize, but only detect the first exoplanetary signal in a microlensing campaign. The pilot run presented in chapter 4 showed it is possible to place significant limits on the presence of planets even from observations performed from a Northern site. In Chapter 5 we analyse data obtained from the JKT at La Palma together with publicly available OGLE data to place useful constraints on the presence of planets orbiting the lens stars. We detect no undisputed planetary signals but calculate high detection probabilities for two events. In chapter 6 we present our analysis of three years (1998-2000) of OGLE data (146 events). We compute the detection probability for each event individually and the total detection probability for the whole sample. Our selection criteria return 6 candidate events, 5 of which could possibly be attributed to planets. However, the OGLE data is insufficient to draw definite conclusions. If we assume that the observed deviations are not due to planetary companions, we conclude that less than 18% of the lens stars have planets with mp = m5. , orbiting them at an orbital radius of 1.1 <a<3 AU. We conclude with a summary of this thesis in chapter 7.
SPECIAL ISSUE ON "SOCIAL RESPONSIBILITY ACCOUNTING AND REPORTING IN TIMES OF ‘SUSTAINABILITY DOWNTURN/CRISIS’ 1

At a time when sustainability performance does not seem to match the expectations raised by the sustainable development concept and, moreover, when the economic downturn and crisis could be further eroding social and environmental concerns and values, the notion of sustainability crisis provides an interesting starting point to reflect on the role of Social and Environmental Accounting Research. Lack of humanity and values, short term economic approach, institutional capture and misunderstanding and misuse of democracy, have all served as catalysts of sustainability downturn and crisis. Thus, this editorial attempts to advance public interest accounting by discussing the controversy around Sustainability and Corporate Social Responsibility, expecting that the constitutive effects of researchers’ words in this special issue and in future research agendas, will result in more transformative power relations able to enhance a healthy democracy inspired by the capacity to do things and to transform individuals’ attitudes and behaviours, as well as the institutional response to the sustainability crisis.
CAP2 dimerization regulates cofilin in synaptic plasticity and Alzheimer's disease

Regulation of actin cytoskeleton dynamics in dendritic spines is crucial for learning and memory formation. Hence, defects in the actin cytoskeleton pathways are a biological trait of several brain diseases, including Alzheimer's Disease. Here, we describe a novel synaptic mechanism governed by the cyclase-associated protein 2 (CAP2), which is required for structural plasticity phenomena and completely disrupted in Alzheimer's Disease. We report that the formation of CAP2 dimers through its Cys32 is important for CAP2 binding to cofilin and for actin turnover. The Cys32-dependent CAP2 homodimerization and association to cofilin are triggered by long-term potentiation and are required for long-term potentiationinduced cofilin translocation into spines, spine remodelling and the potentiation of synaptic transmission. This mechanism is specifically affected in the hippocampus, but not in the superior frontal gyrus, of both Alzheimer's Disease patients and APP/PS1 mice, where CAP2 is down-regulated and CAP2 dimer synaptic levels are reduced. Notably, CAP2 levels in the cerebrospinal fluid are significantly increased in Alzheimer's Disease patients but not in subjects affected by frontotemporal dementia. In Alzheimer's Disease hippocampi, cofilin association to CAP2 dimer/monomer is altered and cofilin is aberrantly localized in spines. Taken together, these results provide novel insights into structural plasticity mechanisms that are defective in Alzheimer's Disease.