Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Evaluation ofCentralized and Distributed Index Schemesfor a Page Server OODBMSJulie

Recent work on client-server data-shipping OODBs has demonstrated the usefulness of local data caching at client sites. However, none of the studies has investigated index-related performance issues in particular. References to index pages arise from associative queries and from updates on indexed attributes, often making indexes the most heavily used hot spots in a database. System performance is therefore quite sensitive to the index management scheme. This paper examines the eeects of index caching, and investigates two schemes, one centralized and the other distributed, for index page management in a page server OODB. In the centralized scheme, index pages are not allowed to be cached at client sites; thus, communication with the central server is required for all index-based queries and index updates. The distributed index management scheme supports inter-transaction caching of index pages at client sites, and enforces a distributed index consistency control protocol similar to that of data pages. We study via simulation the performance of these two index management schemes under several diierent workloads and contention prooles, and identify scenarios where each of the two schemes performs better than the other.
Customized QoS-based mashups for the web of things: An application of AHP

During the past few years the notion of the Web of Things (WoT) as a collection of innovative ideas and technologies, is emerging as a compelling way for businesses to provide value-added services to fulfill their clients’ needs. By creating virtual counterparts of a number of real life objects, whose functionality can be accessed through simple RESTful service operations, an abundance of physical services can complement the existing services provided by an enterprise. This however can complicate things in matter of selection and composition of services for end-users. As a result, a need for new filtering techniques arises that can identify both physical and virtual services and provide value added mashups, based on personalized and QoS-based criteria. In this work, we propose a framework in order to address this issue, integrating a Multicriteria Decision Analysis method, in order to create customized QoS-based service mashups.
Knowledge and Information Systems REGULAR PAPER

In some business applications such as trading management in financial institutions, it is required to accurately answer ad hoc aggregate queries over data streams. Materializing and incrementally maintaining a full data cube or even its compression or approximation over a data stream is often computationally prohibitive. On the other hand, although previous studies proposed approximate methods for continuous aggregate queries, they cannot provide accurate answers. In this paper, we develop a novel prefix aggregate tree (PAT) structure for online warehousing data streams and answering ad hoc aggregate queries. Often, a data stream can be partitioned into the historical segment, which is stored in a traditional data warehouse, and the transient segment, which can be stored in a PAT to answer ad hoc aggregate queries. The size of a PAT is linear in the size of the transient segment, and only one scan of the data stream is needed to create and incrementally maintain a PAT. Although the query answering using PAT costs more than the case of a fully materialized data cube, the query answering time is still kept linear in the size of the transient segment. Our extensive experimental results on both synthetic and real data sets illustrate the efficiency and the scalability of our design.
Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts

Having a large game-tree complexity and being EXPTIME-complete, English Draughts, recently weakly solved during almost two decades, is still hard to learn for intelligent computer agents. In this paper we present a Temporal-Difference method that is nonlinear neural approximated by a 4-layer multi-layer perceptron. We have built multiple English Draughts playing agents, each starting with a randomly initialized strategy, which use this method during self-play to improve their strategies. We show that the agents are learning by comparing their winning-quote relative to their parameters. Our best agent wins versus the computer draughts programs Neuro Draughts, KCheckers and CheckerBoard with the easych engine and looses to Chinook, GuiCheckers and CheckerBoard with the strong cake engine. Overall our best agent has reached an amateur league level.
LPS-Induced Delayed Preconditioning Is Mediated by Hsp90 and Involves the Heat Shock Response in Mouse Kidney

Introduction We and others demonstrated previously that preconditioning with endotoxin (LPS) protected from a subsequent lethal LPS challenge or from renal ischemia-reperfusion injury (IRI). LPS is effective in evoking the heat shock response, an ancient and essential cellular defense mechanism, which plays a role in resistance to, and recovery from diseases. Here, by using the pharmacological Hsp90 inhibitor novobiocin (NB), we investigated the role of Hsp90 and the heat shock response in LPS-induced delayed renal preconditioning. Methods Male C57BL/6 mice were treated with preconditioning (P: 2 mg/kg, ip.) and subsequent lethal (L: 10 mg/kg, ip.) doses of LPS alone or in combination with NB (100 mg/kg, ip.). Controls received saline (C) or NB. Results Preconditioning LPS conferred protection from a subsequent lethal LPS treatment. Importantly, the protective effect of LPS preconditioning was completely abolished by a concomitant treatment with NB. LPS induced a marked heat shock protein increase as demonstrated by Western blots of Hsp70 and Hsp90. NB alone also stimulated Hsp70 and Hsp90 mRNA but not protein expression. However, Hsp70 and Hsp90 protein induction in LPS-treated mice was abolished by a concomitant NB treatment, demonstrating a NB-induced impairment of the heat shock response to LPS preconditioning. Conclusion LPS-induced heat shock protein induction and tolerance to a subsequent lethal LPS treatment was prevented by the Hsp90 inhibitor, novobiocin. Our findings demonstrate a critical role of Hsp90 in LPS signaling, and a potential involvement of the heat shock response in LPS-induced preconditioning.
Extending BLEU Evaluation Method with Linguistic Weight

BLEU is one of the most popular metrics for automatic evaluation of machine translation quality. Focusing on its ignorance of different effects of various translation units upon translation quality, this paper extends proper weights to different words and n-grams in the framework of BLEU. The linear regression method is adopted to capture the human perception on translation quality via word types and n-gram length. Compared with other linguistic-rich metrics based on machine learning, the proposed approach is simple and largely preserves BLEUpsilas advantage of language independence. Experimental results indicate that this method brings a much better evaluation performance for both human translation and machine translation than original BLEU.
Neural cell adhesion molecule expression on renal interstitial cells.

BACKGROUND At early stages of kidney development, the neural cell adhesion molecule (NCAM) is highly expressed on cells of the metanephrogenic mesenchyme. During maturation of the fetal kidney, NCAM gradually disappears. So far, it has been widely accepted that NCAM in the adult kidney is only expressed by nerves, and not by other cell types. METHODS NCAM expression was analysed in human adult healthy and diseased kidneys by immunohistochemistry and western blot analysis. NCAM+ renal interstitial cells were further characterized by double immunofluorescent staining using antibodies against neurofilaments, alpha smooth muscle actin, vimentin, alpha5beta1 integrin, CD68, CD11c, HLA-DR and the potential progenitor cell markers CD34, CD117, CD133, CD24, nestin and cadherin-11. RESULTS In adult human kidneys, NCAM expression is restricted to rare interstitial cells with dendritic morphology, which are neurofilament-negative and predominantly localized on the corticomedullary junction. They are also negative for fibroblast cell markers, but co-express the haematopoietic stem cell markers CD34 and CD133. The number of NCAM+ interstitial cells increased in the initial phases of interstitial fibrosis. Western blot analysis of renal tissues with incipient interstitial fibrosis tissues showed the expression of the 140 kDa NCAM isoform. CONCLUSIONS These data indicate that a rare subpopulation of NCAM+ interstitial cells could represent renal progenitors, and that NCAM+ interstitial cells can participate in the initial phase of interstitial fibrosis.
Efficient distributed dynamic graph system

Research has focused on static large graph management. However, most of real-world networks evolve with time. Managing these evolving networks has attracted much attention in recent years. The networks' evolved data can be kept in a dynamic graph to improve the expressiveness and the quality of search queries as well as snapshot(s) retrieval. Storing the continuous evolution of the network in a dynamic graph makes its storage size grow. Existing dynamic graph models try to limit their storage by eliminating redundant data. However, their update time increases due to the elimination step. This illustrates that there is a tradeoff between the used storage and the update time. In this work, we address the problems of improving the update time of the networks' evolved data without increasing the storage redundancy as well as minimizing the needed memory storage. This paper merges the materialization technique with the distributed graph over servers. This merge reduces the update time and minimize the needed memory storage in an efficient manner as well as providing results with a better quality.
Managerial Support for Employees’ Psychological Needs: A Multidimensional Approach

We expand the notion of autonomy-supportive management from self-determination theory (SDT) by treating it as a multidimensional construct, with the dimensions reflecting behaviours expected to satisfy the needs for autonomy, competence, and relatedness that underlie autonomous motivation. Using SDT as a guide, we constructed a set of Need-Supportive Management Scales (NSMS), each with a clear behavioural focus. In Study 1, we administered the measures to a diverse sample of working adults (N = 318) to evaluate the factor structure of the new measures. Study 2 was conducted with another diverse sample (N = 497) as a second test of the factor structure and to test hypotheses concerning (a) relationships with subjective well-being and peer-ratings of in-role performance and citizenship behaviours and (b) the mediating role of need satisfaction in these relationships. Findings confirm the multidimensionality of the NSMS and generally support the hypothesised relationships and mediation processes. Implications for theory, future research and management practice are discussed. Nous élargissons la notion de gestion favorisant l’autonomie de la théorie de l'autodétermination (SDT) en la traitant comme un concept multidimensionnel, avec les dimensions reflétant les comportements attendus pour satisfaire les besoins d'autonomie, de compétence, et de rapprochement sous-jacents à la motivation autonome. Employant la SDT comme guide, nous avons construit un ensemble d’échelles de gestion axées sur les besoins (NSMS), chacune ciblant clairement les comportements. Dans l'étude 1, nous avons administré les mesures à un échantillon diversifié de travailleurs adultes (N = 318) pour évaluer la structure factorielle des nouvelles mesures. L'étude 2 a été menée auprès d'un autre échantillon diversifié (N = 497) en tant que second essai de la structure factorielle et pour tester les postulats concernant (a) les relations avec le bien-être subjectif et les évaluations par des pairs du rendement au travail et des comportements de citoyen ainsi que (b) le rôle de médiateur de satisfaction des besoins dans ces mêmes relations. Les résultats confirment le caractère multidimensionnel des NSMS et appuient généralement les relations et processus de médiation postulés. Les implications pour la théorie, la recherche et les pratiques de gestion futures y sont discutées.
Procyclicality of Pension Fund Regulation and Behaviour

This paper studies the labour market effects of pension fund restoration plans at a business cycle frequency. During a recession, pension funds’ funding ratios typically drop significantly and regulations force funds to restore their buffers by increasing their contributions, lower future indexation or cut liabilities immediately. Using a standard search and matching model of the labour market, I find that especially raising contribution rates has significant amplification effects on the key labour market statistics. A less distorting solution is to let pension rights fluctuate with the value of the pension assets and to use pension contributions only to finance new rights. This paper shows that risk sharing via the pension system will amplify labour market fluctuations, something not taken into account by standard risk sharing recipes.
A Flexible but Stable Exchange Rate: A VAR Analysis of The Swiss Franc/Euro Case

This paper attempts to present some empirical results on the issue of the striking stability of the SFr/Euro exchange rate. To this end we apply VAR models to weekly data for the exchange rates and interest rates of the SFr, Euro and US Dollar as well as the SFr, DM and US Dollar for the years 1999-2000 and 1994-1998, respectively. Both sample are different in the sense that there is a much stronger international linkage of interest rates in post 1998 than in the pre 1999 sample. We find no major reaction of Swiss interest rates to the SFr/Euro exchange rate, but we find a significant reaction of the Swiss interest rate to SFr/DM shocks pointing to some exchange rate reaction of Swiss monetary policy in the past. The stability of the SFr/Euro rate appears simply as the result of an automatic coordination of monetary policy by similar goals and a similar actual and expected business cycles development in the last two years, which allows the observed exchange rate stability.
The involvement of upstream stimulatory factor 1 in Dutch patients with familial combined hyperlipidemias⃞ Published, JLR Papers in Press, October 25, 2006.

Recently, the upstream stimulatory factor 1 gene (USF1) was proposed as a candidate gene for familial combined hyperlipidemia (FCH). In this study, we examined the previously identified risk haplotype of USF1 with respect to FCH and its related phenotypes in 36 Dutch FCH families. The diagnosis of FCH was based on both the traditional diagnostic criteria and a nomogram. The two polymorphisms, USF1s1 and USF1s2, were in complete linkage disequilibrium. No association was found for the individual single nucleotide polymorphisms (SNPs) with FCH defined by the nomogram (USF1s1, P = 0.53; USF1s2, P = 0.53), whereas suggestive associations were found when using the traditional diagnostic criteria for FCH (USF1s1, P = 0.08; USF1s2, P = 0.07). USF1 was associated with total cholesterol (USF1s1, P = 0.05; USF1s2, P = 0.04) and apolipoprotein B (USF1s1, P = 0.06; USF1s2, P = 0.04). Small dense LDL showed a suggestive association (USF1s1, P = 0.10; USF1s2, P = 0.09). The results from the haplotype analyses supported the results obtained for the individual SNPs. In conclusion, the previously identified risk haplotype of USF1 showed a suggestive association with FCH and contributed to the related lipid traits in our Dutch FCH families.
The Effect of Auditor Reporting Choice and Audit Committee Oversight Strength on Management Financial Disclosure Decisions

ix CHAPTER I: INTRODUCTION 1 CHAPTER II: BACKGROUND AND THEORY 6 2.1 Prior Research on Management Disclosure Choice 6 2.2 PCAOB Project 7 2.3 Audit Committee’s Role in Financial Reporting 11 2.4 Hypothesis Development 13 2.4.1 Effect of Auditor Reporting of CAMs on Management Disclosure 13 2.4.2 Moderating Effect of Audit Committee Oversight Strength 15 CHAPTER III: METHOD 18 3.1 Participants 18 3.2 Design 20 3.2.1 Independent Variables 20 3.2.2 Experimental Materials and Task 22 3.2.3 Dependent Variables 23 3.2.4 Procedures 25 CHAPTER IV: RESULTS 26 4.1 Manipulation Checks 26 4.2 Hypothesis Tests 27 4.3 Supplemental Analysis 29 4.3.1 Comparisons of CAM Conditions 29 4.3.2 Disclosure Element Ratings 32 4.4 Discussion 34 CHAPTER V: CONCLUSION 35
Human Activity Recognition using On-body Sensing

Human Activity Recognition (HAR) based on wearable sensors is gaining increasing attention by the pervasive computing research community, especially for development of context-aware systems. This paper presents our approach for HAR based on wearable accelerometers and supervised learning algorithms. We present the HARwear device, a wearable for HAR. Using HARwear we collected data and we developed a classifier for postures and movements. The classifier is able to identify 2 postures and 3 types of movements with an accuracy of 99.4%. Based on the lessons from experimental evaluation, we propose an improved version, the HARwear version 2, which is also presented on this paper.
BPISG: A Batching Heuristic Scheduling Algorithm With Taking Index Parameters for Mapping Independent Tasks on Heterogenous Computing Environment

In this paper we consider the problem of allocating independent heterogeneous tasks on grid environment in which A new batching heuristic scheduling algorithm with Taking index parameters will be presented. Reference to tasks compute scheduling, several methods are evaluated. With compare Min-mean and Improved Min-mean algorithms, we can create the specific situation that BPISG algorithm can be more efficient and more dependable than similar than previous algorithms. With taking the round time, consist acknowledgement and return time parameters, specific functionality has been created. With implementation these parameters in the simulate environment, we can create situation that scheduling task will be done with better position and achieve high performance on computational grids. Finally the experiment and simulated results will show that the BPISG heuristic scheduling algorithm performs significantly to ensure high throughput, reduced makespan and more efficient in the grid environment.
Immunoblotting with (sub)class-specific antibodies reveals a high frequency of monoclonal gammopathies in persons thought to be immunodeficient.

Immunoblotting, in combination with high-resolution electrophoresis and the use of mouse monoclonal antibodies to human (sub)class immunoglobulin (Ig) isotypes, substantially increased the sensitivity with which homogeneous Ig components (H-Ig) could be detected. Using this technique, we reinvestigated 40 selected sera, previously found to be negative for H-Ig by agar electrophoresis and immunofixation, from two groups of individuals thought to have an age-related immunodeficiency, i.e., persons older than 95 years and recipients of kidney grafts who were undergoing immunosuppressive treatment. In both groups, small single or multiple H-Ig components were found, in frequencies of 76% and 79%, respectively. For comparison, the Ig spectrum of 10 sera from patients on dialysis treatment and of 33 sera from young adult blood donors was ordinarily heterogeneous, except for one elderly patient and one blood donor with a previously unknown IgG2 deficiency. These results are complementary to the observations in some immunodeficiencies in children and indicate that the appearance of single or multiple H-Ig components in low concentration can be considered a very sensitive indicator of certain immune system disorders forming a separate category of monoclonal gammopathies.
Brain Changes Underlying Cognitive Dysfunction in Diabetes: What Can We Learn From MRI?

Diabetes is associated with cognitive dysfunction and an increased risk of dementia. This article addresses findings with brain MRI that may underlie cognitive dysfunction in diabetes. Studies in adults with type 1 diabetes show regional reductions in brain volume. In those with a diabetes onset in childhood, these volume reductions are likely to reflect the sum of changes that occur during brain development and changes that occur later in life due to exposure to diabetes-related factors. Type 2 diabetes is associated with global brain atrophy and an increased burden of small-vessel disease. These brain changes occur in the context of aging and often also in relation to an adverse vascular risk factor profile. Advanced imaging techniques detect microstructural lesions in the cerebral gray and white matter of patients with diabetes that affect structural and functional connectivity. Challenges are to further unravel the etiology of these cerebral complications by integrating findings from different imaging modalities and detailed clinical phenotyping and by linking structural MRI abnormalities to histology. A better understanding of the underlying mechanisms is necessary to establish interventions that will improve long-term cognitive outcomes for patients with type 1 and type 2 diabetes.
Modelling of Electricity Mix in Temporal Differentiated Life-Cycle-Assessment to Minimize Carbon Footprint of a Cloud Computing Service

The information and communications technologies (ICT) sector is seeking to reduce the electricity consumption of data processing centres. Among the initiatives to improve energy efficiency is the shift to cloud computing technology. Thanks to very favourable geographical conditions, the Canadian energy mix is highly suited to the implementation of data centres, especially in light of the significant potential of renewable energy, which can help to curb greenhouse gas emissions. In the green sustainable Telco cloud (GSTC) project, an efficient cloud computing network would be set up to optimize renewable energy use based on several data centres. This study aimed to develop a temporally differentiated life cycle assessment (LCA) model, adapted to short-term predictions, to provide a regionalized inventory to model electricity generation. Purpose of this model is (i) to calculate more accurately the carbon emissions of ICT systems and (ii) to minimize the daily carbon emissions of the GSTC servers. This paper focuses mainly on the electricity generation modelling during the use phase in the context of the life cycle assessment methodology. Considering the time scale of the model, the difference between the annual fixed average and a shorter period may be highly relevant, in particular when assessing the green house gases (GHG) emissions of a process such as an ICT system, which mainly operates during peak load hours. The time dependent grid mix modelling makes it possible to manage the server load migrations between data centres on an hourly basis. Index Terms—Life cycle assessment, data centre, carbon footprint, dynamic power mix.
On the application of Finsler's Lemma to LPV controller synthesis

This paper considers the application of Finsler's Lemma to the synthesis of LPV controllers when dependence on scheduling parameters is affine or rational with a certain structure. With a view on established LPV synthesis techniques, we propose solutions to preserve affine parameter dependence of linear matrix inequality conditions and thus facilitate controller synthesis. The proposed methods are illustrated with numerical examples.