Miracle-dz/UniFAR-FTUs huggingface dataset:
Constraint-Based Pattern Mining in Multi-relational Databases

We propose a new framework for constraint-based pattern mining in multi-relational databases. Distinguishing features of the framework are that (1) it allows finding patterns not only under anti-monotonic constraints, but also under monotonic constraints and closed ness constraints, among others, expressed over complex aggregates over multiple relations, (2) it builds on a declarative graphical representation of constraints that links closely to data models of multi-relational databases and constraint networks in constraint programming, (3) it maps multi-relational pattern mining tasks into constraint programs. Our framework builds on a unifying perspective of multi-relational pattern mining, relational database technology and constraint networks in constraint programming. We demonstrate our framework on IMDB and Finance multi-relational databases.
Special ®bers of NeÂron models and wild rami®cation

Let K be a ®eld with a discrete valuation v. Let OK denote the ring of integers of K, with maximal ideal p. Let k be the residue ®eld of OK , assumed to be algebraically closed of characteristic pZ 0. Let G=K be a semi-abelian variety with NeÂron model G=OK . Let Gk=k be the special ®ber of G=OK , and let G 0 k =k denote the connected component of 0 in Gk. The group of components of G is the ®nitely generated abelian group F G : Gk=G k . When no confusion may occur, we shall denote F G simply by F or FK . We shall say that G=OK is split, or that G=K has split reduction, if the extension
Speculation-Aware Resource Allocation for Cluster Schedulers

Real-time demand response is essential for handling the uncertainties of renewable generation. Traditionally, demand response has been focused on large industrial and commercial loads, however it is expected that a large number of small residential loads such as air conditioners, dish washers, and electric vehicles will also participate in the coming years. The electricity consumption of these smaller loads, which we call deferrable loads, can be shifted over time, and thus be used (in aggregate) to compensate for the random fluctuations in renewable generation. In this thesis, we propose a real-time distributed deferrable load control algorithm to reduce the variance of aggregate load (load minus renewable generation) by shifting the power consumption of deferrable loads to periods with high renewable generation. The algorithm is model predictive in nature, i.e., at every time step, the algorithm minimizes the expected variance to go with updated predictions. We prove that suboptimality of this model predictive algorithm vanishes as time horizon expands in the average case analysis. Further, we prove strong concentration results on the distribution of the load variance obtained by model predictive deferrable load control. These concentration results highlight that the typical performance of model predictive deferrable load control is tightly concentrated around the average-case performance. Finally, we evaluate the algorithm via trace-based simulations.
Towards an intelligent approach based on multi-agent system and cellular automata for modeling land use change

In the recent years, new forms of simulation based on multispectral satellite imagery have come into popular use in geography and social science offering a significant potential for understanding the change of land use and land cover. Models and simulation issued can be characterized by an innovative approach to model dynamic and complex landscapes especially in urban phenomena. Recently, cellular automata have found their way in statistical and theoretical applications specially for modeling dynamic and complex phenomena. In an urban context, models based on cellular automata can provide valuable tools for planning and exploring urban scenarios issued from land use policies. The urban development can be represented as a self-organizing system temped by controls and constraints to pattern the urban process
MAP3K19 Is a Novel Regulator of TGF-β Signaling That Impacts Bleomycin-Induced Lung Injury and Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (IPF) is a progressive, debilitating disease for which two medications, pirfenidone and nintedanib, have only recently been approved for treatment. The cytokine TGF-β has been shown to be a central mediator in the disease process. We investigated the role of a novel kinase, MAP3K19, upregulated in IPF tissue, in TGF-β-induced signal transduction and in bleomycin-induced pulmonary fibrosis. MAP3K19 has a very limited tissue expression, restricted primarily to the lungs and trachea. In pulmonary tissue, expression was predominantly localized to alveolar and interstitial macrophages, bronchial epithelial cells and type II pneumocytes of the epithelium. MAP3K19 was also found to be overexpressed in bronchoalveolar lavage macrophages from IPF patients compared to normal patients. Treatment of A549 or THP-1 cells with either MAP3K19 siRNA or a highly potent and specific inhibitor reduced phospho-Smad2 & 3 nuclear translocation following TGF-β stimulation. TGF-β-induced gene transcription was also strongly inhibited by both the MAP3K19 inhibitor and nintedanib, whereas pirfenidone had a much less pronounced effect. In combination, the MAP3K19 inhibitor appeared to act synergistically with either pirfenidone or nintedanib, at the level of target gene transcription or protein production. Finally, in an animal model of IPF, inhibition of MAP3K19 strongly attenuated bleomycin-induced pulmonary fibrosis when administered either prophylactically ortherapeutically. In summary, these results strongly suggest that inhibition of MAP3K19 may have a beneficial therapeutic effect in the treatment of IPF and represents a novel strategy to target this disease.
Chaos Quantum-behaved Particle Swarm Optimization Algorithm with Hybrid Discrete Variables

To overcome the problem of low convergence speed and sensitivity to local convergence with the traditional quantum-behaved particle swarm optimization (QPSO) to handle complex functions with high-dimension, a novel method of judging the local convergence by the variance of the population’s fitness was proposed, dynamic penalty function was constructed and the chaos quantum-behaved particle swarm optimization algorithm (CQPSO) was proposed. The program DCQPSO1.0 with hybrid discrete variables was developed. The proposed CQPSO method can reasonably deal with value adopting problems of hybrid discrete variables in optimization design and enhance searching efficiency. The computing examples of mechanical optimization design show that this algorithm has no special requirements on the characteristics of optimal designing problems, which has a fairly good universal adaptability and a reliable operation of program with a strong ability of overall convergence and high efficiency.
On P-selectivity and

P/poly, the class of sets with polynomial size circuits, has been the subject of considerable study in complexity theory. Two important subclasses of P/poly are the class of sparse sets 6] and the class of P-selective sets 31]. A large number of results have been proved about both these classes but it has been observed (for example, 17]) that despite their similarity, proofs about one class generally do not translate easily to proofs regarding the other class. In this note, we propose to resolve this asymmetry by investigating the class PSEL-close of sets that are polynomiallyclose to P-selective sets; by deenition, PSEL-close includes both sparse sets and P-selective sets, thereby providing a unifying platform for proving results applicable to both. Intuitively, PSEL-close is the class of sets that can in a certain sense be approximated by P-selective sets. We prove several results separating PSEL-close from known classes within and including P/poly, and establish its location optimally in the extended low hierarchy. We illustrate the naturalness and usefulness of the class by examining the question of whether sets hard for NP or E can be PSEL-close; several well-known results are obtained as immediate corollaries.
La elasticidad output del capital y su tasa de rentabilidad.

Resumen. En este trabajo se calcula la tasa de rentabilidad del capital de la economía española para el periodo 1964-1995 a partir de la información contable contenida en las distintas bases de datos disponibles. Asimismo se establecen relaciones teóricas entre la elasticidad output del capital (privado y público) y la tasa de rentabilidad del capital de una economía bajo distintos supuestos. De esta forma, a partir de los valores calculados de la tasa de rentabilidad del capital y utilizando las relaciones teóricas con las elasticidades output del capital descritas, es posible establecer un rango de valores para las elasticidades output del capital coherentes con la información estadística disponible para la economía española.
Protective Effects of Bacillus subtilis ANSB060 on Serum Biochemistry, Histopathological Changes and Antioxidant Enzyme Activities of Broilers Fed Moldy Peanut Meal Naturally Contaminated with Aflatoxins

The aim of this study was to investigate the toxic effects of aflatoxins and evaluate the effectiveness of Bacillus subtilis ANSB060 in detoxifying aflatoxicosis in broilers. A total of 360 one-week-old male broilers (Ross 308) were assigned to six dietary treatments for five weeks. The treatment diets were: C0 (basal diet); C1.0 (C0 + 1.0 g B. subtilis ANSB060/kg diet); M0 (basal diet formulated with moldy peanut meal); M0.5, M1.0 and M2.0 (M0 + 0.5, 1.0 and 2.0 g B. subtilis ANSB060/kg diet, respectively). The contents of aflatoxin B1, B2, G1 and G2 in the diets formulated with moldy peanut meal were 70.7 ± 1.3, 11.0 ± 1.5, 6.5 ± 0.8 and 2.0 ± 0.3 µg/kg, respectively. The results showed that aflatoxins increased (p < 0.05) serum aspartate transaminase activity, decreased (p < 0.05) serum glutathione peroxidase activity, and enhanced (p < 0.05) malondialdehyde contents in both the serum and liver. Aflatoxins also caused gross and histological changes in liver tissues, such as bile duct epithelium hyperplasia, vacuolar degeneration and lymphocyte infiltration. The supplementation of ANSB060 reduced aflatoxin levels in the duodenum and counteracted the negative effects of aflatoxins, leading to the conclusion that ANSB060 has a protective effect against aflatoxicosis and this protection is dose-related.
The Busi Working Papers in Management Series ness School et Marketing and ' s : drivers , benefits and urement

This paper represents the current state of an action research approach to piece of “work in progress”, researching the use and usage of the Internet for marketing purposes by small and medium sized enterprises (SMEs). The full paper discusses how the research was established, its design and development, and sets out clearly the operational parameters addressed. It also identifies through the development of an initial conceptual framework, the factors that SMEs in a number of industry sectors view as critical to the success or otherwise of their development of a web presence. An essentially inductive platform is then used as a foundation for the development of an empirical approach to be used to test the efficacy of a representative sample of SMEs’ web presence’s against a range of key business and, more specifically marketing drivers. The conceptual framework has been developed to address the research questions across a range of SME business types, namely B2C retail offerings, B2B enterprises and professional services. This latter group was chosen as it provide an insight into the effectiveness of the web for SME marketing where a single enterprise is active in both the B2C and B2B arena. The paper highlights three foci to be addressed in the first cycle of research.
Four-dimensional elastic light-scattering fingerprints as preneoplastic markers in the rat model of colon carcinogenesis.

BACKGROUND & AIMS Identification of preneoplastic changes in histologically normal epithelium (the "field effect") could provide a powerful screening tool for colorectal cancer. However, to date, reliable detection has not been possible. We have recently developed a new generation of optical technology, 4-dimensional elastic light-scattering fingerprinting (4D-ELF), which enables us to probe the nanoscale/microscale architecture of living cells. We therefore investigated whether 4D-ELF would be able to identify preneoplastic changes in the colonocytes of the azoxymethane (AOM)-treated rat model of colon carcinogenesis. METHODS Forty-eight Fisher 344 rats were randomized to either 2 weekly injections of AOM or saline. Animals were killed 2-20 weeks after the second injection of AOM. Colons were removed and subjected to 4D-ELF analysis, with a subset undergoing assessment of aberrant crypt foci (ACF). All AOM-treated animals were compared with age-matched saline-treated controls. RESULTS AOM-induced ACF became apparent at approximately 4-6 weeks and continued to increase over time. ACF were predominantly located in the distal colon. At 2 weeks (before development of ACF), there were marked changes in a number of 4D-ELF signatures. The relevance to carcinogenesis of these 4D-ELF-detected microarchitectural abnormalities is supported by their spatial and temporal correlation with subsequent development of ACF. All changes reported were highly statistically significant. CONCLUSIONS We show that probing the nanoscale cellular architecture with 4D-ELF provided an unprecedented tool for detecting the earliest stages of colon carcinogenesis. Future studies are necessary to explore the clinical applicability of this technology and elucidate the biological determinants of these microarchitectural changes.
The Fat-Stack and Universal Routing in Distributed Networks ∗

This paper shows that a novel network called the fat-stack is efficient and is suitable for use as a baseline distributed network and as a crucial benchmark architecture for evaluating the performance of specific distributed networks. The fat-stack is a construct of an atomic subnetwork unit consisting of one ring and one upward link to its upper subnetwork. This simple structure makes the network scalable to closely represent a distributed network. We show that the fat-stack is efficient by proving it is universal. A requirement for the fat-stack to be universal is that link capacities double up the levels of the network. We also show how to scale the network from a VLSI graph layout to a large-scale distributed topology. Our universality proof shows that a fat-stack of area Θ(A) can simulate any competing network of area A with O(log 3
Novel Strategies for Immunotherapy in Multiple Myeloma: Previous Experience and Future Directions

Multiple myeloma (MM) is a life-threatening haematological malignancy for which standard therapy is inadequate. Autologous stem cell transplantation is a relatively effective treatment, but residual malignant sites may cause relapse. Allogeneic transplantation may result in durable responses due to antitumour immunity mediated by donor lymphocytes. However, morbidity and mortality related to graft-versus-host disease remain a challenge. Recent advances in understanding the interaction between the immune system of the patient and the malignant cells are influencing the design of clinically more efficient study protocols for MM. Cellular immunotherapy using specific antigen-presenting cells (APCs), to overcome aspects of immune incompetence in MM patients, has received great attention, and numerous clinical trials have evaluated the potential for dendritic cell (DC) vaccines as a novel immunotherapeutic approach. This paper will summarize the data investigating aspects of immunity concerning MM, immunotherapy for patients with MM, and strategies, on the way, to target the plasma cell more selectively. We also include the MM antigens and their specific antibodies that are of potential use for MM humoral immunotherapy, because they have demonstrated the most promising preclinical results.
Antidiabetic and cardiovascular drug utilisation in patients diagnosed with type 2 diabetes mellitus over the age of 80 years: a population-based cohort study.

BACKGROUND there is a lack of evidence to inform treatment recommendations for very old people with type 2 diabetes mellitus (T2DM). OBJECTIVE to evaluate trends in antidiabetic and cardiovascular drug utilisation for patients developing T2DM over 80 years of age. METHODS a population-based cohort was sampled from the UK Clinical Practice Research Datalink between 1990 and 2013. Eligible patients were those with T2DM diagnosed after the age of 80 years and prescribed antidiabetic drugs. RESULTS twelve thousand eight hundred and eighty-one patients, with 61% of females, were included. From 1990 to 2013, use of sulphonylureas declined from 94 to 29%, while metformin use increased from 22 to 86%. Prescribing of antihypertensive drugs increased substantially from 46 to 77%, lipid-lowering drugs from 1 to 64%, antiplatelets from 34 to 47% and oral anticoagulants from 5 to 19%. Women were more frequently prescribed antihypertensive drugs (odds ratio 1.26, 95% confidence interval 1.17 to 1.37) but less prescribed antiplatelets (0.83, 0.78 to 0.89). Compared with those diagnosed with T2DM from 80 to 89 years (n = 11,467, 89%), patients diagnosed after the age of 90 years (n = 1,414, 11%) were less likely to be prescribed insulin (0.37, 0.24 to 0.58), metformin (0.67, 0.60 to 0.75), antihypertensive drugs (0.42, 0.38 to 0.48), lipid-lowering drugs (0.26, 0.23 to 0.30) and anticoagulants (0.55, 0.44 to 0.68). CONCLUSIONS there have been major increases in the intensity of pharmacological management of patients diagnosed with T2DM over 80 years of age, but the effectiveness and safety of these interventions in very old people require further evaluation.
Extensive and Genome-Wide Changes in the Transcription Profile of Staphylococcus aureus Induced by Modulating the Transcription of the Cell Wall Synthesis Gene murF

ABSTRACT A murF conditional mutant was used to evaluate the effect of suboptimal transcription of this gene on the transcriptome of the methicillin-resistant Staphylococcus aureus strain COL. The mutant was grown in the presence of optimal and suboptimal concentrations of the inducer, and the relative levels of transcription of genes were evaluated genome wide with an Affymetrix DNA microarray that included all open reading frames (ORFs) as well as intergenic sequences derived from four sequenced S. aureus strains. Using a sensitivity threshold value of 1.5, suboptimal expression of murF altered the transcription of a surprisingly large number of genes, i.e., 668 out of the 2,740 ORFs (close to one-fourth of all ORFs), of the genome of S. aureus strain COL. The genes with altered transcription were distributed evenly around the S. aureus chromosome, and groups of genes involved with distinct metabolic functions responded in unique and operon-specific manners to modulation in murF transcription. For instance, all genes belonging to the isd operon and all but 2 of the 35 genes of prophage L54a were down-regulated, whereas all but one of the 21 members of the vraSR regulon and most of the 79 virulence-related genes (those for fibronectin binding proteins A and B, clumping factor A, gamma hemolysin, enterotoxin B, etc.) were up-regulated in cells with suboptimal expression of murF. Most importantly, the majority of these altered gene expression profiles were reversible by resupplying the optimal concentration of IPTG (isopropyl-β-d-thiogalactopyranoside) to the culture. The observations suggest the coordinate regulation of a large sector of the S. aureus transcriptome in response to a disturbance in cell wall synthesis.
Correlating Scenes as Series of Document Sentences with Images

With the popularization of the Internet and the development of multimedia technology, various data are produced and disseminated in different media such as documents, images, photographs, pictures, and movies. Therefore, there are a variety of data in different media which represent the same contents. However, the method of correlating data in different media having the same contents has not yet been established. This paper proposes a method of correlating a document with an image, both of which express the similar contents. This method bases upon the observation that a series of sentences in a document could constitute a scene, and by utilizing the similarity measure of the vector space model as a criterion, we could correlate a scene with an image if their similarity is high. An experimental result of the above-mentioned method is shown taking "The Tale of Genji" and the photographs taken on the subject of this tale, as an example. It is shown that the method works fairly good as it is intended, however there still remain difficult problems for improvement.
Assessing the Environment for Women of Color in Student Affairs.

A growing research interest in the area of women in academic administration and the problem of the low number of women in administrative roles, particularly the underrepresentation of minority women, continues to be reported in studies of educational administration at all levels. In this study, women of color in administrative positions at public and private colleges and universities throughout the United States (N=106) were surveyed in order to investigate their career advancement patterns and their level of comfort within the university administrative environment. The career advancement patterns were measured by the Career Paths In Higher Education Administration Survey. The Environmental Comfort Scale was used to determine an individual's level of comfort in different personal and professional situations. Results indicate that the first position in which the women of color were hired is a significant factor for future environmental comfort. The overall findings are discussed along with suggestions for implementing and maintaining a high level of comfort for women of color in student affairs. One table presents data and statistical analysis. Contains 38 references. (TS) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Assessing the Environment 1 Running head: ASSESSING THE ENVIRONMENT FOR WOMEN Assessing the Environment for Women of Color in Student Affairs Mary F. Howard-Hamilton University of 'Florida Vicki A. Williams Spelman College
Internal State Identification for Black Box Systems

In digital filter theory, the identification process describes internal dynamic states based on a reference system, commonly known as a black box. The identification process as a function of: a) transition function, b) identified delayed states, c) gain function which depends on convergence correlation error, and d) an innovation process based on the error described by the differences between the output reference system and the identification result. Unfortunately, in the black box concept, the exponential transition function considers the unknown internal parameters. This means that the identification process does not operate correctly because its transition function has no access to the internal dynamic gain. An approximation for solving this problem includes the estimation in the identification technique. This paper presents an estimation for a "single input single output" (SISO) system with stationary properties applied to internal state identification.
Stoichiometric thiol-ene ratio dependence of refractive index modulation and polymerization shrinkage in holographic nanocomposite materials

We report on volume holographic recording in photopolymerizble nanocomposite materials using inorganic SiO2 nanoparticles dispersed in thiol-ene monomers capable of step-growth photopolymerization with various stoichiometric thiol-ene ratios. It is shown that while the refractive index modulation is maximized at the stoichiometric composition, polymerization shrinkage decreases with increasing the thiol monomer fraction.