Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification des barrières à l'adoption des outils d'intelligence d'affaires de type code-libre

Plusieurs enquetes recentes revelent que les outils d'intelligence d'affaires (BI) figurent parmi les priorites des organisations. Ces outils peuvent etre de deux types : proprietaires ou code libre (Open Source-OS). Cependant, les couts d'acquisition des outils proprietaires qui dominent le marche constituent un des plus importants freins pour leur adoption par certaines organisations. Malgre la disponibilite des outils BI de type OS (BIOS) qui representent des alternatives credibles avec la possibilite de reduire les couts de possession, jusqu'a present peu d'organisations les ont adoptes. La mise a disposition d'un cadre structure, ayant un fondement theorique, qui regroupe les principales barrieres a l'adoption de ces outils pourrait aider les organisations et les consultants a les anticiper en mettant en place des strategies appropriees. L'objectif de cette recherche consiste a : (1) decrire et comprendre les principales barrieres qui entravent l'adoption des outils BIOS ; (2) identifier les strategies permettant d'attenuer ces barrieres. L'approche methodologique se deroule en deux etapes. La premiere etape est basee sur deux revues systematiques de la litterature : (1) sur les outils BIOS dans 5 bases de donnees (ABI inform, Springerlink, EBSCO, Emerald et Scopus); (2) sur les logiciels OS dans 4 bases (EBSCO, Scopus, ABI inform et AIS). La deuxieme etape est basee sur une enquete qualitative aupres d'un echantillon de 11 experts en BI. Les resultats de ce projet de recherche mettent en lumiere 99 barrieres extraites a partir de deux revues systematiques de la litterature sur les barrieres a l'adoption des outils BIOS ainsi que 30 principales barrieres identifiees par les experts interviewes. Ce memoire offre des contributions theoriques et pratiques dont les principales sont : sur le plan theorique : (1) une synthese structuree des ecrits scientifiques d'une litterature eparpillee sur les barrieres a l'adoption des outils BIOS; (2) la mise en lumiere et la discussion de 3 barrieres identifiees par les experts et non identifiees dans la litterature. Sur le plan pratique, ces resultats offrent une meilleure comprehension des barrieres a l'adoption des outils BIOS pour les organisations utilisatrices ainsi que les consultants. ______________________________________________________________________________ MOTS-CLES DE L’AUTEUR : Intelligence d'affaires (Business Intelligence - BI), Code libre (Open source - OS), Outils BIOS, Barrieres.
Sodium and potassium conductances in somatic membranes of rat Purkinje cells from organotypic cerebellar cultures.

1. The somatic voltage‐gated conductances of Purkinje cells in organotypic cultures (Gähwiler, 1981) were studied using the outside‐out patch recording configuration of the patch‐clamp technique (Hamill, Marty, Neher, Sakmann & Sigworth, 1981). 2. When activated by step depolarizations, the tetrodotoxin‐sensitive voltage‐dependent Na+ current presented two distinct phases: an initial surge of inward current fluctuations which activates rapidly upon pulse onset and decays within 20‐40 ms, and a later phase in which discrete bursts of single‐channel activity are interspersed with silent periods. 3. Ensemble fluctuation analysis of the current fluctuations during the early phase of the Na+ current and measurements of single channels during both early and late phases indicate that a single type of Na+ channel can account for both phases of the Na+ current. This channel has an elementary current amplitude of ‐2 pA at ‐40 mV. This amplitude did not vary significantly between ‐60 and ‐20 mV. The mean open time depended on membrane potential, increasing by a factor of three between ‐60 and ‐20 mV. 4. The early component of the Na+ current activated at a threshold of ‐60 mV and reached its maximum amplitude at ‐20, mid‐point for the activation curve being ‐40 mV. Times‐to‐peak current decreased with membrane potential, from 3.5 ms at ‐60 mV to 0.3 ms at 0 mV. The decay phase of the current presented two exponential components, with time constants of 1.5 and 10 ms at ‐40 mV. The steady‐state inactivation curve had a mid‐point at ‐75 mV. 5. The late component of the Na+ current was observed in the voltage range from ‐60 to ‐20 mV, with a maximum at ‐40 mV. Its maximum amplitude corresponded to approximately 1.7% of the peak amplitude of the early component. 6. Macroscopic potassium currents were observed upon step depolarizations above a threshold of ‐30 mV. The currents activated in a voltage‐dependent fashion, times‐to‐peak decreasing with depolarization, and partially inactivated during 40 ms depolarizing steps. Peak current amplitudes at any given membrane potential were decreased by depolarizing the holding potential. The macroscopic properties of the K+ current varied from patch to patch. 7. Two types of single‐channel K+ currents were observed during steady‐state depolarizations. The unitary current amplitudes were 2.7 and 10.4 pA at 30 mV, corresponding to chord conductances of 28 and 90 pS respectively. (ABSTRACT TRUNCATED AT 400 WORDS)
The MAM2014 Sample Set

Modeling the material appearance of physical materials requires access to the materials. Sets of identical physical material models were prepared for distribution at the workshop on material appearance modeling 2014 (MAM2014). The sample set is intended to facilitate the comparison of measurements and models from different laboratories and psychophysical experiments comparing simulated and physical appearance.
Graph Queries: Generation, Evaluation and Learning (Invited Talk)

Several modern graph query languages are capable of expressing sophisticated graph queries, which return nodes connected by arbitrarily complex paths. Such paths can be synthesized by regular expressions and often involve recursion. Such graph queries are known as Regular Path Queries and correspond to Property Paths in Sparql 1.1. Recently, with my colleagues I have been investigating regular path queries and their combinations by looking at the generation problem [1, 2, 3, 10], the complexity of query evaluation [5] and the learning problem [9, 7, 6, 8]. Precisely, we focused on schema-driven generation of complex and broad graph queries with user-defined features, on the complexity of the evaluation of regular simple path queries and on learning algorithms for regular path queries. In this talk, I will begin with a brief recap of graph queries and their expressive power. I will then provide an overview of a comprehensive query-oriented graph benchmark that we have designed and assessed [1, 2, 3, 10]. I will next discuss the theoretical results of our study on the complexity of regular simple path queries [5]. I will then present a learning framework for regular path queries and discuss its potential along with its practical feasibility [7, 6, 8]. To conclude, I will briefly outline our ongoing work [4] and pinpoint lingering issues and research directions in the study of graph queries.
Health Technology Assessment capacity development in low- and middle-income countries: Experiences from the international units of HITAP and NICE

Health Technology Assessment (HTA) is policy research that aims to inform priority setting and resource allocation. HTA is increasingly recognized as a useful policy tool in low- and middle-income countries (LMICs), where there is a substantial need for evidence to guide Universal Health Coverage policies, such as benefit coverage, quality improvement interventions and quality standards, all of which aim at improving the efficiency and equity of the healthcare system. The Health Intervention and Technology Assessment Program (HITAP), Thailand, and the National Institute for Health and Care Excellence (NICE), UK, are national HTA organizations providing technical support to governments in LMICs to build up their priority setting capacity. This paper draws lessons from their capacity building programs in India, Colombia, Myanmar, the Philippines, and Vietnam. Such experiences suggest that it is not only technical capacity, for example analytical techniques for conducting economic evaluation, but also management, coordination and communication capacity that support the generation and use of HTA evidence in the respective settings. The learned lessons may help guide the development of HTA capacity in other LMICs.
Data association for non-overlapping multi-camera multi-object tracking based on similarity function

Outdoor visual surveillance systems have studied object tracking in non-overlapping multiple cameras. In this paper, we present a data association method for multi-object tracking in a non-overlapping camera network. Proposed method is based on similarity function which consists of a multi-camera topology obtained from local tracking results and matching results from person re-identification. Simulation results indicate that the proposed method effectively deal with object tracking approach in a non-overlapping camera network.
Partial volume correction of the microPET blood input function using ensemble learning independent component analysis

Medical images usually suffer from a partial volume effect (PVE), which may degrade the accuracy of any quantitative information extracted from the images. Our aim was to recreate accurate radioactivity concentration and time–activity curves (TACs) by microPET R4 quantification using ensemble learning independent component analysis (EL-ICA). We designed a digital cardiac phantom for this simulation and in order to evaluate the ability of EL-ICA to correct the PVE, the simulated images were convoluted using a Gaussian function (FWHM = 1–4 mm). The robustness of the proposed method towards noise was investigated by adding statistical noise (SNR = 2–16). During further evaluation, another set of cardiac phantoms were generated from the reconstructed images, and Poisson noise at different levels was added to the sinogram. In real experiments, four rat microPET images and a number of arterial blood samples were obtained; these were used to estimate the metabolic rate of FDG (MRFDG). Input functions estimated using the FastICA method were used for comparison. The results showed that EL-ICA could correct PVE in both the simulated and real cases. After correcting for the PVE, the errors for MRFDG, when estimated by the EL-ICA method, were smaller than those when TACs were directly derived from the PET images and when the FastICA approach was used.
Gene Expression: From Microarrays to Functional Genomics

42/2008 Susanna Nurmi LFA-1 Integrin β2 Chain Phosphorylation Regulates Protein Interactions and Mediates Signals in T Cells 43/2008 Anastasia Ludwig Mechanisms of KCC2 Upregulation During Development 44/2008 Camelia Constantin Cereulide Producing B. Cereus and Amylosin Producing B. Subtilis and B. Mojavensis: Characterization of Strains and Toxigenicities 45/2008 Eva Ruusuvuori Ion-Regulatory Proteins in Neuronal Development and Communication 46/2008 Katrianna Halinen Genetic Diversity and Microcystin Production by Anabaena in the Gulf of Finland, Baltic Sea 47/2008 Mikhail Paveliev Co-Signaling by Neurotrophic Factors and the Extracellular Matrix for Axonal Growth and Neuronal Survival 48/2008 Keyvan Dastmalchi Dracocephalum moldavica L. and Melissa offi cinalis L. : Chemistry and Bioactivities Relevant in Alzheimer’s Disease Therapy 49/2008 Laura Mattinen Expression Analysis of Host-Induced Genes and Proteins of Potato Pathogen Pectobacterium atrosepticum 50/2008 Anna Galkin Evaluation of Natural Products in Apoptosis, Protein Kinase C Activation and Caco-2 Cell Permeability 1/2009 Petra Kukkaro Characterization of New Viruses from Hypersaline Environments 2/2009 Elisa Nevalainen The Biological Functions of Mouse Twinfi lin Isoforms 3/2009 Anne-Sisko Patana The Human UDP-Glucuronosyltransferases: Studies on Substrate Binding and Catalytic Mechanism 4/2009 Tanja Kivinummi Effects of Chronic Nicotine on Behavioural and Neurochemical Responses to Morphine 5/2009 Ville Kaila Theoretical Studies on Coupled Electron and Proton Transfer in Cytochrome c Oxidase 6/2009 Li-ying Yu Death Pathways Activated in the Neurotrophic Factor-Deprived Neurons 7/2009 Timo Hytonen Regulation of Strawberry Growth and Development 8/2009 Paula Lehto Mechanistic Studies of Drug Dissolution Testing. Implications of Solid Phase Properties and in vivo Prognostic Media 9/2009 Jaakko Mattila Regulation of Growth by Drosophila FOXO Transcription Factor 10/2009 Silja Jaatinen Lipid-containing Icosahedral dsDNA bacteriophages: Entry, Exit and Structure 11/2009 Sanna Siissalo The Caco-2 Cell Line in Studies of Drug Metabolism and Effl ux 12/2009 Suvi Broholm The Role of MADS and TCP Transcription Factors in Gerbera hybrida Flower Development 13/2009 Liliya Euro Electron and Proton Transfer in NADH:Ubiquinone Oxidoreductase (Complex I) from Escherichia coli
Mentoring the successful graduate student of tomorrow.

In order to provide a more efficacious approach to mentoring graduate students, it may behoove faculty, staff, and administration to develop a new paradigm in regards to the graduate student of tomorrow. Advising and mentoring are key components of a successful college or university experience and the two terms are often used interchangeably. However, mentoring becomes the prominent factor when it relates to the graduate student. A profusion of research over the past two decades has confirmed the significance and profound impact of faculty mentorship on the success of graduate students. Additionally, the authors posit the importance of preparing today to mentor tomorrow’s graduate student. In previous research, the authors found a direct correlation between faculty mentorship, the connection of students with program and faculty, and graduate success. The focus of this work is to review the changing graduate student population, develop an awareness of the significant impact of faculty mentorship, and offer practical suggestions to improve the quality of faculty mentorship in light of future success and challenges. Mentoring, graduate students, faculty, graduate success, connectedness Research in Higher Education Journal Mentoring the successful graduate, Page 2 INTRODUCTION For today’s educational institutions, student success has been measured by a number of variables: retention, graduation rate, course completion, etc. Among those variables, there are a number of constants. One of these constants has to do with mentoring. In previous research, the authors found a very strong correlation between successful graduate students and faculty advisors or mentors (Bain & Fedynich, 2010). Ellis concluded “the success of graduate education depends on a student-faculty relationship based on integrity, trust, and support” (1992, p. 575). In order to provide a more efficacious approach to mentoring graduate students, it may behoove faculty, staff, and administration to develop a new paradigm in regards to the graduate student of tomorrow. Advising and mentoring are key components of a successful college or university experience and the two terms are often used interchangeably. However, mentoring becomes the prominent factor when it relates to the graduate student. A profusion of research over the past two decades has confirmed the significance and profound impact of faculty mentorship on the success of graduate students. Additionally, the authors posit the importance of preparing today to mentor tomorrow’s graduate student. In previous research, the authors found a direct correlation between faculty mentorship, the connection of students with program and faculty, and graduate success (Bain & Fedynich, 2010). The focus of this work is to review the changing graduate student population, to develop an awareness of the significant impact of faculty mentorship, and to offer practical suggestions to improve the quality of faculty mentorship in light of future success and challenges.
Relay selection in underlay cognitive networks with fixed transmission power nodes

Underlay cognitive networks operate simultaneously with primary networks satisfying stringent interference constraints, which reduces their transmission power and coverage area. To reach remote destinations, secondary sources use relaying techniques. Selecting the best relay among the available ones is a well known technique. Recently, selective cooperation is investigated in cognitive networks where the secondary nodes can adapt their transmission power to always satisfy the interference threshold. In this paper, we investigate a situation where the secondary nodes have a fixed transmission power and may violate the interference threshold. We present two relay selection schemes; the first one excludes the relays not satisfying the interference constraint and then picks up a relay from the remaining ones that can provide the maximum signal‐to‐noise ratio (SNR). The other scheme uses a quotient of the relay link SNR and the interference from the relay to the primary user and optimizes it to maximise the relay link SNR. We derive closed form expressions for outage probability, bit error rate, channel capacity and diversity of the system for both schemes by using tight approximations. We also study mutual effects of interference. Simulation results confirm the analytical results and reveal that the relay selection is feasible at low SNRs. Copyright © 2013 John Wiley & Sons, Ltd.
Mutational analysis of a viral RNA element that counteracts rapid RNA decay by interaction with the polyadenylate tail

We previously demonstrated that the Kaposi's sarcoma-associated herpesvirus polyadenylated nuclear RNA contains a 79-nt cis-acting element, the ENE, which allows intronless polyadenylated transcripts to accumulate to high nuclear levels by protecting them from rapid degradation. We proposed a model based on the predicted structure of the ENE in which a U-rich internal loop hybridizes with the 3′-polyadenylate (polyA) tail to sequester it from exonucleolytic attack. We have tested this model by mutational analysis of the ENE. Point mutations in the predicted U-rich internal loop and in the flanking stems abolish the ENE's ability to (i) interact with the polyA tail, (ii) inhibit deadenylation in vitro, and (iii) stabilize transcripts in vivo. In all but one case, compensatory mutations in the flanking stems restore ENE activities, demonstrating the importance of these stems and uncovering a unique role for the loop-proximal G-C base pair in the lower stem. Increasing the U content of the U-rich internal loop surprisingly decreases stability in vivo but does not affect deadenylation in vitro, comparable to the effects of deleting certain “unstructured” regions of the ENE. Taken together, our data support the formation of the proposed ENE secondary structure in vivo and argue that the specific ENE structure inhibits rapid RNA decay in cis by engaging in a limited set of base-pairing interactions with the polyA tail.
Differentials in the quality of antenatal care in India.

OBJECTIVE To investigate the socio-economic differentials in the quality (clinical and interpersonal) of antenatal care and also the correlation between differentials in the quality and utilization of antenatal care. DESIGN The study uses cross-sectional, nationally representative data from National Family Health Survey (1998-99). SETTING Four south Indian states (Andhra Pradesh, Karnataka, Kerala and Tamil Nadu) and four north Indian states (Bihar, Madhya Pradesh, Rajasthan and Uttar Pradesh). MAIN OUTCOMES MEASURED More than four antenatal care visits for utilization, and index of clinical, information and interpersonal quality of care. RESULTS Lower than desired quality of antenatal care was observed in both north and south Indian states, though the quality was significantly better in south India compared with north India, especially among the disadvantaged women. Significant socio-economic differentials in the quality of care were evident in both north and south India, but were more glaring in north India. A significantly positive relationship was observed between the quality and utilization of antenatal care in the rural areas from village-level multivariate analysis. DISCUSSION Poor quality of antenatal care is likely to reduce its utilization. Policy and program interventions to improve the quality of care of antenatal care, especially for the poor and other disadvantaged population groups, more so in north India, are essential to improve maternal health outcomes. The India's National Rural Health Mission (NRHM), launched in 2005, should lay greater emphasis on improving the quality of antenatal care, among other things, to increase utilization of antenatal care and achieve better maternal health outcomes.
THE CIRCADIAN VARIATION OF THYROTROPHIN IN PATIENTS WITH PRIMARY THYROIDAL DISEASE

We have used a highly sensitive immunochemiluminometric assay (ICMA) for human TSH to study the effect of thyroid status on the circadian variation in TSH levels. Three subjects with Graves' disease, three with toxic multinodular goitre and three with euthyroid multinodular goitre were sampled every hour for 24 h. The results obtained were compared to those from five euthyroid control subjects. It was found that some patients with hyperthyroidism and suppressed basal TSH levels exhibited a 24 h secretory pattern similar to that seen in normal subjects with peak TSH levels occurring at night. In addition two subjects with a euthyroid multinodular goitre demonstrated levels of TSH below the normal range despite being clinically and biochemically euthyroid. TSH suppression in these subjects is probably related to some degree of thyroid autonomy and possible development of hyperthyroidism in the future.
Protective Effect of Zinc against Postnatal Lead-Induced Alterations in the Neurobehavioral Development of Normally-Fed and Protein MalnourishedRats

Background: The most critical effects of lead (Pb) toxicity occur among children exposed during fetal development, postnatal development or both. Malnutrition is a common problem worldwide and occurs in both developing and developed countries. Zinc is an essential mineral and a fundamental component of the endogenous enzymatic antioxidant system. Objective: To evaluate the possible protective effects of zinc against postnatal Pb-induced alterations in the physical and neurobehavioral development in both normally-fed (NF) and protein malnourished (PM) rats. Methods: Protein sufficient diet (20% casein) for NF groups and protein deficient one (8% casein) for PM groups were utilized. Both NF and PM groups were subdivided to 3 groups 6 dams/each and received daily from parturition until weaning (together with diet); saline for control, 1 ml lead acetate (12 mg/ml) and zinc sulphate (32 mg/kg) with Pb. Pups were evaluated for physical and neurobehavioral development as well as for performance in Neonatal T-maze and Open-field test (OFT). Results: Postnatal Pb exposure inhibited most physical and neurobehavioral development of both NF and PM pups. It also reduced number of correct choices as well as ambulation and rearing frequencies in both pups, the effect was more pronounced in PM pups. However, Zinc increased these parameters in NF and PM pups but increased body weight, ambulation and rearing frequencies while decreased time of appearance of eye opening and grooming time in NF pups only. Conclusion: Postnatal Pb exposure caused alteration in some aspect of physical and neurobehavioral development as well as in some behavioral functions as learning, emotionality as well as locomotor and exploratory activities. The alterations were much greater under the condition of protein malnutrition. Zinc was shown to protect against these lead-induced alterations in both NF and PM rat pups. However the protective effect of Zinc sometimes declined under concomitant protein malnutrition.