Miracle-dz/UniFAR-FTUs huggingface dataset:
Valérie Brunel, Les managers de l'âme. Le développement personnel en entreprise, nouvelle pratique de pouvoir ?

Valerie Brunel est psychosociologue. Cet ouvrage est issu d'une these de doctorat en sociologie clinique sous la direction de Vincent de Gaulejac (Paris VII). Son objectif est de comprendre le succes dans les annees 90 du management qui integre au monde de l'entreprise les techniques du « developpement personnel » et du coaching tout en procedant a une « critique epistemologique et ideologique » (p.7). De ce fait, l'etude prend place dans un debat, qui prend actuellement de l'ampleur, sur la .
Thermal decomposition of lanthanide(III) complexes of bis-(salicylaldehyde)-1,3-propylenediimine Schiff base ligand

The thermal decomposition of lanthanide complexes, with a general formula: [LnL(NO3)2](NO3), where Ln = La, Pr, Nd, Sm, Gd, Tb, Dy, and Er; and L = bis-(salicyladehyde)-1,3-propylenediimine Schiff base ligand, was studied by thermogravimetric (TG) and derivative thermogravimetric (DTG) techniques. The TG and DTG data indicated that all complexes are thermostable up to 398 K. The thermal decomposition of all Ln(III) complexes was a two-stage process and the final residues were Ln2O3 (Ln = La, Nd, Sm, Gd, Dy, Er), Tb4O7, and Pr6 O11. The activation energies of thermal decomposition of the complexes were calculated from analysis of the TG-DTG curves using the Kissinger, Friedman, and Flynn-Well-Ozawa methods.
Effects of Emotional Valence and Arousal on Consumer Perceptions of Online Review Helpfulness

With the prevalence of online reviews, an unwieldy glut of information may be in some cases presented to the consumers. To address the problem of information overload, the voting mechanism for online review helpfulness has been used by many websites. This study focuses on the effects of emotional valence and arousal in review content on consumer perceptions of online review helpfulness, which has not received enough attentions before. Using real-world data and econometric model, we found emotions within review content significantly influence review helpfulness. Furthermore, the interaction effect of emotional valence and arousal is investigated in details. This study makes a theoretical contribution to online review helpfulness research and also provides guidance to e-commerce companies in managing online reviews.
Domain-specific word sense disambiguation

Hitzaren adiera-desanbiguazioa, ataza bezala, hitz polisemikoak testuinguru baten hartzen duen adiera automatikoki zehaztea da, Adimen artifizial osorako bidean giltzarri den eginbeharra dugu. Hitzen adiera desanbiguazioa Hizkuntza Naturalaren Ulermenarako beharrezkoa den ataza bat da. Hizkuntza naturala lanabes duten hainbat aplikazioetan erabilgarria eta beharrezkoa dela defendatzen dute Hizkuntzaren Azterketa eta Prozesamendu barruan dauden ikertzaile askok. Erraz nabari daiteke Itzulpen Automatikoari, adibidez, ekar dakioken onurak zein izan daitezkeen (lexiko hautapena) ala Informazio Erauzketan eragin ditzakeen aurrerapenak (hitz baten erabilera esanguratsua den ala ez). Hala ere, hitzaren adiera automatikoki zehazteak zailtasun ugari dakar. Esanguratsuenen artean ikasketa automatiko gainbegiraturako datuen falta eta sakabanaketa eta domeinu aldaketak sortzen dituzten eranginkortasun galera aipa ditzakegu. Datuen sakabanaketa eta domeinu aldaketaren arazoak ardatz hartuta ikerketan murgildu gara. Tesi-lan honen helburua ikasketa automatiko hainbat metodo esku artean izanik datu-sakabaneta eta, batipat, domeinuaren arazoei aurre egiteko proposamen bat plazaratzea izan da. Horretarako ikasketarako ezaugarriak maneiatzen duten informazioa irudiketzeko modu berriak proposatu ditugu. Algebraren ikuspegitik Balio Singularretan Deskonposatzen duen teknikan oinarritu gara informazioa modu trinko baten maneiatzeko eta hitz-adierien eredu hobeak lortzeko. Lortutako ezaugarri berriak hainbat domeinutan erabili ditugu (domeinu orokorra, kiroletako domeinua eta finantzei buruzkoa), eta domeinura egokitzeko bi aukera nagusi definitu ditugu: Modu gainbegiratua (ikasketa prozesuan domeinu orokorreko eta konkretuko adibideak ditugu) eta erdi-gainbegiratua (ikasketarako domeinu orokorrekoak izanik, domeinu konkretuko adibide ez-etiketatuak ditugunean). Esperimentuak aurrera eramateko ezagunak diren ikasketa automatikoko algoritmoak erabili ditugu. Adibidez, k-NN edota SVM metodoak. Burututako esperimentuek ezaugarri hauen eraginkortasuna erakutsi digute domeinu berri baten aurrean gaudenean. Beste modu batera esanda sistema trinkoak eta egokigarriak sortzeko gai izan gara.
Comparison of streptokinase activity from Streptococcus mutans using different substrates

Received: Revised: Accepted: April 04, 2012 May 03, 2012 July 25, 2012 Streptokinase is a novel bacterial fibrinolytic enzyme that binds and activates plasminogen and is produced by several species of Streptococci. Streptococcus mutans was selected for optimum production of streptokinase using corn steep liquor, molasses, rice polishing and sugarcane bagass in liquid state fermentation. Substrates were applied in different concentrations ranging from 0.1-0.8%. Maximum fibrinolytic activity was observed by 0.3% corn steep liquor, 0.5% molasses and rice polishing and 0.4% by sugarcane bagass. The fibrinolytic activity achieved by fibrin clot lysis method was 5.5, 5.08, 5.16 and 4.75 units using corn steep liquor, molasses, rice polishing and sugarcane bagass, respectively. ©2012 PVJ. All rights reserved
Role of dietary diversity in ensuring adequate haematological status during pregnancy

Introduction: Though nutrition is a key input to blood formation, little is known about the extent maternal dietary quality contributes to the haematological status of pregnant women in Northern Region of Ghana. Objective: The aim of this study was to assess the independent contribution of dietary diversity to haematological status of pregnant women whilst controlling for potential confounding factors including malarial infection. Methods: A cross-sectional study design was used on a sample of 307 pregnant women in their third trimester. A structured questionnaire was used to collect socio-demographic characteristics, obstetric and dietary data related to anaemia. Overall dietary quality was assessed using the dietary diversity score. Haemoglobin concentration (Hb) was measured using portable HemoCueR Hb 301 system. Predictors of anaemia were estimated using multiple linear regression analysis. Results: The mean Hb was 10.8±1.4 g/dl and prevalence of anaemia (Hb �< �11.0 g/dl) was 46.3 %. High dietary diversity score [Beta coefficient (β), = 0.141 p < 0.001], multigravidity (β=0.205) and high composite score for ANC content (β= 0.201) were associated with a decreased risk of anaemia in the third trimester of pregnancy. Conclusion: The findings suggest the need to strengthen interventions that focus on improving the consumption of diversified foods particularly during pregnancy.
Accentuation automatique de textes par des méthodes probabilistes

Cet article decrit l'utilisation de methodes probabilistes pour l'accentuation automatique de textes francais. A partir d'un texte non accentue ou accentue de facon incomplete, une recherche dans un dictionnaire adapte permet de generer toutes les variantes accentuees possibles. Un modele de langage probabiliste affecte a chacun de ces choix une probabilite, la variante la plus probable etant choisie pour tenir lieu de texte reaccentue. Une evaluation montre que ce procede fournit un tres bon score (97,6 % d'accents bien retablis).
The relative and absolute timing accuracy of the EPIC-pn camera on XMM-Newton, from X-ray pulsations of the Crab and other pulsars

Aims. Reliable timing calibration is essential for the accurate comparison of XMM-Newton light curves with those from other observatories, to ultimately use them to derive precise physical quantities. The XMM-Newton timing calibration is based on pulsar analysis. However, because pulsars show both timing noise and glitches, it is essential to monitor these calibration sources regularly. To this end, the XMM-Newton observatory performs observations twice a year of the Crab pulsar to monitor the absolute timing accuracy of the EPIC-pn camera in the fast timing and burst modes. We present the results of this monitoring campaign, comparing XMM-Newton data from the Crab pulsar (PSR B0531+21) with radio measurements. In addition, we use five pulsars (PSR J0537-69, PSR B0540-69, PSR B0833-45, PSR B1509-58, and PSR B1055-52) with periods ranging from 16 ms to 197 ms to verify the relative timing accuracy. Methods. We analysed 38 XMM-Newton observations (0.2–12.0 keV) of the Crab taken over the first ten years of the mission and 13 observations from the five complementary pulsars. All data were processed with SAS, the XMM-Newton Scientific Analysis Software, version 9.0. Epoch-folding techniques coupled with χ 2 tests were used to derive relative timing accuracies. The absolute timing accuracy was determined using the Crab data and comparing the time shift between the main X-ray and radio peaks in the phase-folded light curves. Results. The relative timing accuracy of XMM-Newton is found to be better than 10 −8 . The strongest X-ray pulse peak precedes the corresponding radio peak by 306 ± 9 μs, which agrees with other high-energy observatories such as Chandra, INTEGRAL and RXTE. The derived absolute timing accuracy from our analysis is ±48 μs.
The multivoicedness of written documentation: An international nursing student documenting in a second language

All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. The multivoicedness of written documentation: An international nursing student documenting in a second language Virtanen, Aija
Funding of Agricultural Research and Development in Ghana: The Case of Council for Scientific and Industrial Research (CSIR)

Agricultural Research and Development (R&D) investments contribute greatly to economic growth, agricultural development and poverty reduction in developing countries. This paper examines the financial investment and expenditure trends in agricultural R&D in Ghana with emphasis on the Council for Scientific and Industrial Research (CSIR) and the implication for the policies driving agricultural research in Ghana. Data from Agricultural Science & Technology Indicator (ASTI) and in-depth studies on agricultural R&D in Ghana were used. Purposive sampling was used to gather data in thirteen agricultural research institutes and five public universities in Ghana. Through questionnaire administration, data were collected and analyzed using descriptive statistics. The study revealed that, total public agricultural R&D expenditure had increased by 59 per cent from 42.5 million (2005 PPP) dollars in 2000 to 67.7 million (2005 PPP) dollars in 2011 and with an average expenditure of 54.1 million (2005 PPP) dollars per year. The total expenditure by CSIR constitutes about 50 per cent of the total agricultural research expenditure in Ghana. The study however, showed a drastic decline in capital investments from 6.7 per cent in 2000 to 0.1 per cent in 2011 of the total government funding with operational cost following similar declining pattern. Still, when considering the totality of funding including salaries and wages, government support is the main source of funding for agricultural R&D in Ghana (85 per cent) with donors (7.3 per cent), sale of goods and services (6.7 per cent) and others serving as complementary sources. Though there have been considerable government investments in agricultural R&D in CSIR over the period, impact on operational and research activities has been minimal as the chunk of it went into payment of salaries and wages. The fundamental challenge is funding the very important operational and research activities which lead to technology development and innovation. Increasing commercialization of research technologies and government investment in agricultural R&D in Ghana, are recommended to address this investment challenge.
The sea breeze / land breeze diurnal circulation within the Los Angeles Basin and adjacent waters transports marine air into the basin during the day and urban air to Santa

[1] The sea breeze/land breeze diurnal circulation within the Los Angeles Basin and adjacent waters transports marine air into the basin during the day and urban air to Santa Monica Bay during the night. Nitryl chloride, ClNO2 is a nocturnal trace gas formed from the heterogeneous reaction of dinitrogen pentaoxide (N2O5) with chloride containing aerosol. Its photolysis after sunrise produces atomic chlorine radicals and regenerates NO2, both of which may increase ozone production. Mixing of the chloride source from marine sea salt with the urban NOx source in Los Angeles provides conditions ideal for the production of ClNO2. This paper presents an analysis using a wind profiler on the coast and measurements of ClNO2 and its precursors made from both ship and aircraft to assess the prevailing meteorological conditions important for ClNO2 production in this region, with a particular focus on the production over water within the land breeze phase of the circulation. A box model is used to calculate an upper limit to the amount of ClNO2 capable of being produced strictly over Santa Monica Bay during the land breeze. On three out of the four nights of ClNO2 measurements in Santa Monica Bay, the ClNO2 exceeds the upper limit calculated using the box model and shows that the majority of the ClNO2 is produced over the city and transported to Santa Monica Bay by the land breeze. This ClNO2 transport suggests the sea breeze more efficiently transports aerosol chloride inland than land breeze transports NOx offshore.
Extract the Relational Information of Static Features and Motion Features for Human Activities Recognition in Videos

Both static features and motion features have shown promising performance in human activities recognition task. However, the information included in these features is insufficient for complex human activities. In this paper, we propose extracting relational information of static features and motion features for human activities recognition. The videos are represented by a classical Bagof-Word (BoW) model which is useful in many works. To get a compact and discriminative codebook with small dimension, we employ the divisive algorithm based on KL-divergence to reconstruct the codebook. After that, to further capture strong relational information, we construct a bipartite graph to model the relationship between words of different feature set. Then we use a k-way partition to create a new codebook in which similar words are getting together. With this new codebook, videos can be represented by a new BoWvector with strong relational information.Moreover, we propose amethod to compute new clusters from the divisive algorithm’s projective function. We test our work on the several datasets and obtain very promising results.
Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance

In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts with Generalized Autoregressive conditional Heteroskedasticity (GARCH) and Autoregressive Integrated Moving Average (ARIMA) models. The results indicate that GRNN outperform significant the conventional econometric models and can be an efficient alternative tool for forecasting. The MATLAB algorithm we propose is provided in appendix for further applications, suggestions, modifications and improvements.
Andreev bound state and multiple energy gaps in the noncentrosymmetric superconductor BiPd

We report directional point contact Andreev reflection (PCAR) measurements on high-quality single crystals of the non-centrosymmetric superconductor, BiPd. The PCAR spectra measured on different crystallographic faces of the single crystal clearly show the presence of multiple superconducting energy gaps. For point contacts with low resistance, in addition to the superconducting gap feature, a pronounced zero bias conductance peak is observed. These observations provide strong evidence of the presence of unconventional order parameter in this material.
Speech utterance categorisation given one training utterance per category

In this paper, we address the categorisation of speech utterances within the scenario of technical support automated agents given only one labelled utterance per category . The categorisation algorithm maps input utterances into bag-of-word vectors and then applies feature extraction based on soft word clustering. We analyse two feature extraction schemes: pole-based overlapping clustering (PoBOC) and a combination of PoBOC with Fuzzy c-medoids. For the categorisation at the utterance level, we use the Nearest Neighbour (NN) approach. Finally, we evaluate the proposed methods on a test corpus with more than 3000 utterances recorded in a commercial dialog system. (4 pages)
Forecasting Gold Prices Using Membership Function Model as Probability Density Function of Normal Distribution

In this paper, the new forecasting algorithm for predicting gold prices using concept of fuzzy logic with membership function model as probability density function of normal distribution is proposed and compared to the triangular membership function model and the trapezoidal membership function model. The daily gold prices from January 2015 to May 2018 collected from the London Bullion Market Association are used in this study. The prices are transformed to the rate of return and then the Train : Test percent ratio is used to obtain the training data and the testing data, respectively, and consists of 99:01, 95:05, 90:10, 80:20, 70:30, 60:40, 50:50, 40:50, 30:70, 20:80 and 10:90. The root mean squared error and the mean absolute error are applied to measure the performance of the proposed algorithm and to compare three presented models. The experimental results can conclude that the proposed algorithm can be practical to the gold price forecasting; furthermore, the proposed algorithm with the membership function model as probability density function of normal distribution can better improve itself than other models when it has more training data as well as it can demonstrate better performance than others
Application of geophysical monitoring system and GIH 01 tool at the river basin scale as a part of integrated water resources management in the Czech Republic.

The Geophysical Monitoring System (GMS) has been designed as a new instrument for maintenance of and checks on safety of flood control dikes in the Czech Republic. Having used the new tool to define hot spots of an existing embankment system, detailed investigation, maintenance and renewal efforts can be concentrated in a cost-effective way on the critical parts of the embankments. Based on the analysis of geophysical measurements carried out on the dikes and based on the discussion with the dike owners/caretakers representatives it can be stated that for maintenance and check of the dikes there are 3 basic types of tasks that can be effectively covered using geophysical methods. The first task includes a survey of long embankment sections (Quick Testing Measure), the second refers to detailed investigation of problem sections and the third one aims at providing basic data for classification and a geomechanical description of the dikes material. The GMS comes with special software – GIH 01. This GIH01 tool is a light version of software for geophysical inspection of the dams and it is being developed and tested within research projects financed by the Ministry of Industry and Trade of the Czech Republic: “Research and development of the modular system GIH 01 for applications for Integrated Water Resources Management in the catchment scale and floods prevention”. Thanks to the GMS control method and GIH 01 data evaluation and visualization it is possible to design the optimal process of dike reconstruction and protection within the entire river basin areas. www.witpress. com, ISSN 1743-3541 (on-line) © 2009 WIT Press WIT Transactions on Ecology and the Environment, Vol 124, River Basin Management V 361 doi:10.2495/RM090331
The deep circulation of the Faroe-Shetland Channel: Opposing flows and topographic eddies

New insights into the deep circulation of the Faroe-Shetland channel are gained from a high resolution regional ocean model. The simulation shows a more complex structure of the deep flow field than previously thought: A flow reversal of the deep and intermediate waters to the northeast on the Faroese flank of the channel and persistent topographic eddies that force the deep currents into a gyre-like structure. This flow reversal opposes the previously accepted understanding of a purely southwestward deep flow but is in agreement with velocity measurements. The southwestward transport of the overflow waters is found to be facilitated almost exclusively by a strong and narrow current on the Shetland side of the channel. Float release experiments show that up to 38% of the overflow water takes longer than a purely southwestward flow regime suggests and up to 13% takes twice as long. From the release of tracers, a substantial amount of lateral mixing is evident within the channel, predominantly facilitated by the topographic eddies. This article is protected by copyright. All rights reserved.
Body Size, Food, and Temperature Affect Overwinter Survival of Age-0 Bluegills

Abstract For many species of fish, size-specific overwinter mortality is an important factor structuring year-class strength. Protracted spawning by bluegill Lepomis macrochirus leads to extreme variation in individual size going into winter that could result in strong, size-specific overwinter mortality, particularly in locations with limited food resources or long, cold winters. We performed laboratory trials to test the effects of winter temperature (4°C or 9°C) and food availability (food present or no food) on the survival of two size-classes (20–30 or 50–60 mm total length) of young-of-year bluegills. Mortality was strongly size selective and appeared to be related to relative condition, suggesting that energy limitation was the primary mechanism of mortality. Fish of both sizes were less active at colder temperatures, leading to increased survival (presumably via reduced energy expenditure). Bluegills fed heavily in food treatments (wet weight/d consumed was typically 2–4% for both large and small .