Miracle-dz/UniFAR-FTUs huggingface dataset:
An Econometric Measurement of the Impact of Marketing Communication on Sales in the Indian Cement Industry

This study analyzes the relationship between net sales revenue and Integrated Marketing Communications (IMC) viz. advertising, sales promotion, personal selling and direct marketing. It attempts to find the existence of a long-term relationship between the two variables and goes on to analyze the impact of one variable on the other and its possible implications. Seven year quarterly data of ten firms in the Indian Cement industry when analyzed reveals that there is no evidence of cointegration between the above mentioned variables, but the Vector Autoregression (VAR) model suggests that although past sales do not influence current advertising, advertising and sales promotion have a significant effect on the sales of cement after one year. The Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) also support this view. Keywords: Advertising, Cointegration, Forecast Error Variance Decomposition, Impulse Response Function, Net sales, Sales Promotion, Vector Autoregression.
LakeMIP Kivu: evaluating the representation of a large, deep tropical lake by a set of one-dimensional lake models

The African great lakes are of utmost importance for the local economy (fishing), as well as being essential to the survival of the local people. During the past decades, these lakes experienced fast changes in ecosystem structure and functioning, and their future evolution is a major concern. In this study, for the first time a set of one-dimensional lake models are evaluated for Lake Kivu (2.28°S; 28.98°E), East Africa. The unique limnology of this meromictic lake, with the importance of salinity and subsurface springs in a tropical high-altitude climate, presents a worthy challenge to the seven models involved in the Lake Model Intercomparison Project (LakeMIP). Meteorological observations from two automatic weather stations are used to drive the models, whereas a unique dataset, containing over 150 temperature profiles recorded since 2002, is used to assess the model's performance. Simulations are performed over the freshwater layer only (60 m) and over the average lake depth (240 m), since salinity increases with depth below 60 m in Lake Kivu and some lake models do not account for the influence of salinity upon lake stratification. All models are able to reproduce the mixing seasonality in Lake Kivu, as well as the magnitude and seasonal cycle of the lake enthalpy change. Differences between the models can be ascribed to variations in the treatment of the radiative forcing and the computation of the turbulent heat fluxes. Fluctuations in wind velocity and solar radiation explain inter-annual variability of observed water column temperatures. The good agreement between the deep simulations and the observed meromictic stratification also shows that a subset of models is able to account for the salinity- and geothermal-induced effects upon deep-water stratification. Finally, based on the strengths and weaknesses discerned in this study, an informed choice of a one-dimensional lake model for a given research purpose becomes possible.
GRB 130603B: No Compelling Evidence for Neutron Star Merger

The near infrared (NIR) flare/rebrightening in the afterglow of the short hard gamma ray burst (SHB) 130603B measured with the Hubble Space Telescope (HST) and an alleged late-time X-ray excess were interpreted as possible evidence of a neutron star merger origin of SHBs. However, the X-ray afterglow that was measured with the Swift XRT and Newton XMM has the canonical behaviour of a synchrotron afterglow produced by a highly relativistic jet. The H-band flux observed with HST 9.41 days after burst is that expected from the measured late-time X-ray afterglow. The late-time flare/rebrightening of the NIR-optical afterglow of SHB 130603B could have been produced also by jet collision with an interstellar density bump. Moreover, SHB plus a kilonova can be produced also by the collapse of a compact star (neutron star, strange star, or quark star) to a more compact object due to cooling, loss of angular momentum, or mass accretion.
Resource selection of moose Alces alces at multiple scales from trees, plantations and home ranges up to landscapes and regions

The Moose is a valuable game animal in Fennoscandia but also the most severe pest in forest plantations. In this thesis, I examined factors that affect the habitat selection of moose and moose damage at multiple scales. At the plot level, browsing increased with an increasing number of artificially regenerated pines and deciduous trees taller than pines. The damage risk was the highest in plantations with heavy soil preparation. Moose summer home ranges had more fertile sites than the overall study area. Within summer ranges moose, selected non-pine-dominated habitats and mature forests and avoided human settlements. Winter ranges contained more pine-dominated plantations and other young successional stages, more pine dominated peatland forests and less human settlements and agricultural fields. Within winter ranges, moose used more non-pinedominated plantations and mature forests and less human-inhabited areas than expected. At the home range level, there were no significant differences between sexes, but within home ranges males and females used different habitats during both seasons. The occurrence of damage in nearby landscape decreased the probability to find a landscape without damage and predicted an increase in the number of damaged plantations. Increased food-cover adjacencies of mature forests and plantations increased damage. An increasing proportion of inhabited areas and the length of connecting roads decreased the number of damage at the landscape sizes of 1 km and 5 km. Moose-damaged stands were concentrated in SW and eastern Lapland in Peräpohja Schist Belt and Lapland’s Greenstone Belt with nutrient-rich bedrock. There was less damage in landscapes with an abundant amount of pine-dominated thinning forests. Moose damage plantations were located more on fertile bedrock and soils than undamaged ones. Regenerating Scots pine on fine-grained soils derived from nutrient-rich rocks and naturally occupied by Norway spruce might increase damage risk.
Local cluster expansion for the treatment of vacancy energies in Ni3Al

Viele Eigenschaften kristalliner Festkorper werden von Diffusion im Festkorper bestimmt. Die Bewegung einzelner Atome durch den Kristall wird haufig mittels Monte-Carlo Simulationen untersucht. Dabei muss fur jeden moglichen Atomsprung die Energiedifferenz zwischen Ausgangs- und Endzustand des Kristalls bekannt sein. Die Genauigkeit der Monte-Carlo Simulationen hangt also von der genauen Kenntnis der potentiellen Energie der betreffenden Struktur ab, welche mittels Dichtefunktionaltheorie (DFT) oder heuristischer Modelle berechnet werden kann. DFT Rechnungen sind grundsatzlich exakt, benotigen aber einen hohen Rechenaufwand und sind daher auf verhaltnismasig einfache Systeme beschrankt, wie beispielsweise hoch geordnete Strukturen aus wenigen Atomsorten. Die Cluster-Entwicklung (CE) ist eine mathematisch exakte Methode, mit der die Genauigkeit der DFT Rechnungen auf weit grosere Rechenzellen ubertragen werden kann. Gerade fur binare Legierungssysteme ist sie heute eine Standardmethode. Die CE der potentiellen Energie ist eine Reihenentwicklung in Clusterfunktionen auf geometrischen Figuren (Clustern) am Gitter und in effektive Clusterwechselwirkungen. Vom Standpunkt der Linearen Algebra ist die CE ein Basiswechsel von den kartesischen Koordinaten am Gitter in den Konfigurationsraum. Da es im Allgemeinen aber keinen analytischen Ausdruck fur die Energie gibt, konnen die Entwicklungskoeffizienten nicht direkt berechnet werden und mussen mittels Fit an eine Menge bereits bekannter Energien ermittelt werden (Connolly-Williams Methode). Fur die Beschreibung des Leerstellenmechanismus der Diffusion muss die Leerstelle grundsatzlich als dritte Atomsorte behandelt werden. Die CE ist zwar auf Systeme mit beliebig vielen Atomsorten anwendbar, die Beschreibung wird aber sehr aufwendig. Im Falle der verdunnten Leerstellenkonzentration kann die Ternare CE aber umgangen werden, indem man die Leerstellen als lokale Storungen im Kristall mittels der Lokalen Cluster-Entwicklung (LCE) behandelt. Wir haben eine LCE fur die technologisch interessante Superlegierung Ni3Al berechnet. Dabei haben wir an L1_2 und D0_{22} Defekt-Konfigurationen gefittet. Die Gultigkeit der LCE ist daher auf diesen Konzentrationsbereich beschrankt.
WAVE ENERGY ASSESSMENT AND WIND CORRELATION FOR THE NORTH REGION OF SCOTLAND, HINDCAST RESOURCE AND CALIBRATION, INVESTIGATING FOR IMPROVEMENTS OF PHYSICAL MODEL FOR ADAPTATION TO TEMPORAL CORRELATION.

Wave energy sites around Scotland, are considered one of the most energetic waters, as they are exposed to the Atlantic Ocean. The amount of energy reaching the shoreline provides an opportunity for wave energy deployments. Currently, considerations on wave devices expect them to be installed at nearshore locations. That means that the potential wave resource has to be investigated, since deep to shallow water interactions alter the shape of propagated waves. Resource assessment for these regions is essential in order to estimate the available and extractable energy resource. Although several numerical models exist for wave modelling, not all are suitable for nearshore applications. For the present work, the nearshore wave model SWAN has been used to simulate waves for the Hebridean region. The set-up, calibration and validation of the model are discussed. The resulting wave conditions are compared with buoy measurements. Results indicate that the modelling technique performed well.
Corporate Governance and Bank Insolvency Risk: International Evidence

This paper finds that shareholder-friendly corporate governance is positively associated with bank insolvency risk, as proxied by the Z-score and the Merton’s distance to default measure, for an international sample of banks over the 2004-2008 period. Banks are special in that ‘good’ corporate governance increases bank insolvency risk relatively more for banks that are large and located in countries with sound public finances, as banks aim to exploit the financial safety net. ‘Good’ corporate governance is specifically associated with higher asset volatility, more non-performing loans, and a lower tangible capital ratio. Furthermore, ‘good’ corporate governance is associated with more bank risk taking at times of rapid economic expansion. Consistent with increased risk-taking, ‘good’ corporate governance is associated with a higher valuation of the implicit insurance provided by the financial safety net, especially in the case of large banks. These results underline the importance of the financial safety net and too-big-to-fail policies in encouraging excessive risk-taking by banks.
Nitrogen Retention and Chemical Composition of Urea Treated Wheat Straw Ensiled with Organic Acids or Fermentable Carbohydrates

The influence of varying levels of urea and additives on nitrogen (N) retention and chemical composition of wheat straw was studied. The wheat straw was treated with 4, 6 and 8% urea and ensiled with 1.5, 2 and 2.5% of acetic or formic acid and 2, 4 and 6% of corn steep liquor (CSL) or acidified molasses for 15 days. The N content of wheat straw was significantly different across all treatments. The N content of urea treated wheat straw was increased with the increasing level of urea. The N content was higher in urea treated wheat straw ensiled with acetic or formic acid as compared to urea treated wheat straw ensiled without these organic acids. The N content of urea treated wheat straw was further enhanced when it was ensiled with CSL or acidified molasses. This effect was significant across all levels of urea used to treat the wheat straw. Nitrogen retention in urea treated wheat straw was decreased linearly as the urea level was increased to treat the wheat straw. The N content was increased linearly when higher levels of CSL or acidified molasses were used to ensile the urea treated wheat straw. Most of the N in urea treated wheat straw was held as neutral detergent insoluble N (NDIN). The NDIN content was increased linearly with the increasing levels of urea and additives. The neutral detergent fiber (NDF) contents were higher in urea treated wheat straw ensiled with acetic or formic acid as compared to urea treated wheat straw ensiled without additive. The NDF content further increased in urea treated wheat straw ensiled with CSL and acidified molasses. The entire increase in NDF content was because of fiber bound N. The hemicellulose content of urea treated wheat straw ensiled with CSL or acidified molasses was higher as compared to urea treated wheat straw ensiled with acetic or formic acid. The acid detergent fiber content of urea treated wheat straw ensiled with or without additives remained statistically non-significant. The cellulose contents of wheat straw was linearly reduced when urea level was increased from 4 to 6 and 8% to treat the wheat straw. This effect was further enhanced when urea treated wheat straw was ensiled with different additives. The results of the present study indicated that fermentable carbohydrates might improve the Nitrogen retention and bring the favorable changes in physiochemical nature of wheat straw. However, biological evaluation of urea treated wheat straw ensiled with fermentable carbohydrates is required.
The Evolution and Influencing Factors of Chinese Out-of-Pocket Healthcare Expenditure Efficiency: DEA-Tobit Analysis Based on Panel Data

Based on the panel data from 2002 to 2009 and with the method of DEA-Tobit, firstly we get the conclusion that the state health expenditure efficiency is increasing and personal health expenditure efficiency is descending since health reform and that total health expenditure efficiency is not rising so the problem of inadequate and overly expensive medical services is not solved. Then we analyze the influencing factors of personal health expenditure efficiency by panel Tobit model. The result shows that there are efficiency differences among different regions in China. The influencing factors include population structure, per local financial expenditure, urbanization ratio, per GDP and population scale.
Social Tagging for Personalized Location-Based Services

The current generation of location-based services (LBSs) does not provide users with personalized recommendations, but only suggests nearby points of interest (POIs) based on their distance from the user current location. To overcome such a limitation, we have realized a social recommender system able to identify user preferences and information needs, thus suggesting personalized recommendations related to possible POIs in the surroundings. The proposed approach allows users to leverage and assign freely chosen keywords (tags) to resources through collaborative tagging services (folksonomies). Our LBS employs a user-based tag model that derives correspondences between personal tag vocabularies (personomies) and folksonomies. Experimental tests performed on 15 real users enabled us to assess the benefits in terms of performance that our approach is able to provide.
Interfaces, wetting, and capillary nematization of a hard-rod fluid: Theory for the Zwanzig model

We investigate interfacial and capillary phenomena in a simple model for a fluid of hard rods, viz. the Zwanzig model, in which the orientations of rectangular blocks are restricted to three orthogonal directions. The theory, which is based on an Onsager-like free energy functional, predicts local biaxial ordering at the “free” interface between the coexisting isotropic and nematic phases. For an isotropic bulk fluid in contact with a single planar hard wall, we find a continuous surface phase transition from uniaxial to biaxial local symmetry, followed by complete wetting of the wall–isotropic fluid interface by a nematic film with director parallel to the wall, as the reservoir density approaches its value at bulk coexistence. For a fluid confined by two parallel hard walls we determine a first-order capillary nematization transition at large wall separation, which terminates in a capillary critical point when the wall separation is about twice the length of the rods. This transition is the analog of th.
Effectiveness of a Growth Mindset in Education

This literature review explores the effectiveness of how a growth mindset can be instrumental to student’s academic performance. Students who are able to persevere when given a difficult task are more likely to have success, than a student who feels intelligence is influenced by natural ability. Students with a fixed mindset are quick to give up when given a challenging task. Growth mindset and grit are a direct reflection of each other. This literature review consists of a study that was done to measure factors that would predict high school graduation. Results from the study were associated with both grit and growth mindset. Students who persevere in the education setting when faced with challenges and adversity seem to have grit, which correlates with a growth mindset. The effectiveness of a growth mindset in the school culture requires teachers to be knowledgeable and supportive of strategies and expectations, to be able to implement a growth mindset into academic instruction. EFFECTS OF GROWTH MINDSET 3 Effectiveness of a Growth Mindset in Education Growth mindset, or the belief that intelligence is something we can change, is becoming increasingly popular in the field of education today. The research of Carol Dweck (2008) suggests that having a growth mindset is associated with higher academic achievement. Success is not influenced by natural ability, but rather by mindset and desire to achieve to the highest potential and abilities. When individuals choose to quit and give up, others keep pushing and learning from experiences by adjusting work or mindset. Research claims there is more to academic success than intellectual abilities. A difference between a fixed mindset and a growth mindset is based on the inherent nature and the abilities to achieve based on actions. The findings of this literature review presents how a mindset affects the ability to learn and succeed.
A Novel Rotor Resistance Estimation Technique for Vector Controlled Induction Motor Drive Using TS Fuzzy

Induction motor with indirect field oriented control is well suited for high performance applications due to its excellent dynamic behavior. But, the indirect field oriented controller is sensitive to variations in rotor time constant, especially variation in rotor resistance. In this study a scheme based on the Rotor flux Model Reference Adaptive Controller is used for on line identification of the rotor resistance and thus improving the steady state performance of the drive. The overriding feature of this estimation technique is the accurate identification of rotor resistance especially during transient and steady state conditions when the drive is operating at full load and at zero motor speed condition. Moroever, the effectiveness of the TS fuzzy controller utilizing rotor flux for online estimation of rotor resistance for four quadrant operation of motor drive is investigated and compared with the conventional PI and Mamdani fuzzy controller Simulation results in MATLAB/Simulink environment.have been presented to confirm the effectiviness of the technique.
A Disaster Management Framework for Coping with Acts of Extreme Violence in School Settings: A Field Study

This article presents the results of an interdisciplinary three-year research project on disaster management planning for coping with acts of extreme violence in schools. The project was funded by the SSH Research Council of Canada and carried out by an academic team from University of Quebec at Montreal (UQAM) in collaboration with researchers from six countries [1] . In this article, the â€ŸPressure and Releaseâ€ and the â€ŸTriangle of Riskâ€ models were used to identify (a) the root causes and the dynamic pressures that can increase the vulnerability of the educational system to hazards related to acts of extreme violence in schools, and the susceptibility to the impact of these hazards; (b) the main deficiencies in preparedness, and; (c) the challenges raised by the intervention process and the disaster recovery stage. The findings of this study have been integrated in a comprehensive framework that can be used to address the process of disaster risk management at each stage of the â€œrisk cycleâ€ (prevention, intervention and recovery). [1] The first author of the present article is the project leader. Â
Increase in the accuracy of selection for suckling performance in beef cows with a single-step, multiple-trait genomic evaluation model

Income of livestock farmers depends greatly on the suckling performance of beef cows. In the Blonde d'Aquitaine breed, milk yield is recorded at the progeny testing station and suckling performance is used as an early selection criterion for bulls intended for artificial insemination. However, most of the traits used to estimate breeding values (EBV) of male and female seedstocks are field data from farms involved in the national on-farm recording system. As far as suckling performance is concerned, the maternal genetic effect on weaning weight is a low heritable trait recorded on farm and the accuracy of genomic selection is low because of the small reference population for this maternal trait (1039 genotyped animals). A dataset including 137,943 weaning weights from field records and 2403 milk yield records collected in station was used to estimate genetic parameters related to suckling performance. The strong genetic correlation (0.75) estimated between milk yield and maternal weaning weight made the multi-trait model relevant for increasing the accuracy for these maternal traits in a population of young candidates for selection, whether or not genomic information was considered in the evaluation model. When genomic information was included in a multitrait BLUP animal model using single-step method, accuracies obtained ranged from 0.20 to 0.30 for candidates that were moderately or strongly related to the station reference population. In other cases accuracies were below 0.15. The single-step and multi-trait genomic model paved the way for an efficient use of maternal EBV in beef cattle breeding programmes.
Consumer Attitudes toward Farm-Animal Welfare: The Case of Laying Hens

Concerns over laying hensâ€™ welfare have led to many different labels for eggs and changes to state regulations. Consumer attitudes toward farm-animal welfare were examined using a national survey in the context of preferences for eggs differentiated by layer management practices. Most respondents perceived caged housing and other conventional management practices as reducing hensâ€™ welfare and were willing to pay a premium for eggs produced in cage-free and other nonconventional production systems. Although participants responded to information about environmental consequences of management practices, they placed more weight on animal welfare issues than environmental issues in their egg-purchase decisions.
Personalized Text Categorization Using a MultiAgent Architecture

In this paper, a system able to retrieve contents deemed relevant for the users through a text categorization process, is presented. The system is built exploiting a generic multiagent architecture that supports the implementation of applications aimed at (i) retrieving heterogeneous data spread among different sources (e.g., generic html pages, news, blogs, forums, and databases); (ii) filtering and organizing them according to personal interests explicitly stated by each user; (iii) providing adaptation techniques to improve and refine throughout time the profile of each selected user. In particular, the implemented multiagent system creates personalized press-revies from online newspapers. Preliminary results are encouraging and highlight the effectiveness of the approach.