Miracle-dz/UniFAR-FTUs huggingface dataset:
Decision Support Style goods pricing with demand learning

For many industries (e.g., apparel retailing) managing demand through price adjustments is often the only tool left to companies once the replenishment decisions are made. A significant amount of uncertainty about the magnitude and price sensitivity of demand can be resolved using the early sales information. In this study, a Bayesian model is developed to summarize sales information and pricing history in an efficient way. This model is incorporated into a periodic pricing model to optimize revenues for a given stock of items over a finite horizon. A computational study is carried out in order to find out the circumstances under which learning is most beneficial. The model is extended to allow for replenishments within the season, in order to understand global sourcing decisions made by apparel retailers. Some of the findings are empirically validated using data from U.S. apparel industry. 2008 Elsevier B.V. All rights reserved.
Resource integration and customization for automatic hypertext information retrieval in a corporate setting

In this paper, we describe our experience in reusing and customizing existing tools to meet new information retrieval needs in a corporate setting. The problem was to supply an authoring aid to handle customers enquiry letters by exploiting a textual case base. We decided to integrate, and go as far as possible with, a terminology extractor and a context exploration platform. They were previously developed through an academic and industrial collaborative research. We have found a method to generate an information retrieval hypertext structure on a large collection of homogeneous documents by creating links between noun phrases that are pertinent for navigation. Noun phrases are selected by automatic extraction and filtered on the basis of the linguistic context class where they appear, also determined automatically. We have tried to point out the peculiar features that made possible the reuse and integration of existing resources, to produce a relatively new solution to a fairly constrained real-world problem.
Quantitation of genome damage and transcriptional profile of DNA damage response genes in human peripheral blood mononuclear cells exposed in vitro to low doses of neutron radiation

Background: Humans are exposed to ionizing radiation from different sources that include natural, occupational, medical, accidental exposures. Evaluation of the effect of low level of neutron exposure to human cells in vitro has important implications to human health. Attempts were made to measure genome damage, transcriptional profile of DNA damage response and repair genes in peripheral blood mono-nuclear cells (PBMCs) exposed to different doses of neutron irradiation (Am-Be source) in vitro. Materials and Methods: Blood samples were collected from six random, healthy individuals with written informed consent. The frequency of micronuclei (MN), nucleoplasmic bridges (NPB), DNA strand breaks and gamma-H2AX foci intensity were measured in PBMCs exposed to low doses of neutron (3.0 to 12mGy). Transcription profile of ATM, P53, CDKN1A, GADD45A, TRF1, TRF2, PARP1, NEIL1, MUTYH, APE1, XRCC1, LIG3, FEN1 and LIG1 were analysed in PBMCs at 30 min and 4h post-irradiation using real time quantitative PCR. Results and Discussion: Our results revealed a significant increase (P≤0.05) in the frequency of MN at 9.0 and 12.0mGy as compared to control. A dose dependent increase in the percentage of DNA in tail and an increased intensity of gamma-H2AX foci were observed. CDKN1A and GADD45A showed marginal up-regulation at 30 min, whereas PARP1 showed increased expression at 4h post-irradiation across the doses studied. Conclusion: The present study revealed that GADD45A, CDKN1A and PARP1 can be used as early signatures for low-dose neutron exposure. However, further in vitro and in vivo studies are required to establish its implications in radiation
Decoding the spatio-temporal localization of behavioral events in populations of neurons

A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method is applied for (i) detecting the time of footfall contact during treadmill locomotion and (ii) classifying the location of passive cutaneous stimulation to the forepaw. The work presented was performed off-line but can easily be implemented in real-time to be used for neurorobotic control.
Bibliography on stable distributions, processes and related topics

The following sections are a start on organizing references on stable distributions by topic. It is far from complete. Starting on page 18 there is an extensive list of papers on stable distributions, many of which are not included in the first section. Some of the papers there do not directly refer to stable distributions. Someday I may have the time to edit those out, but for now please ignore those references. This list includes a bibliography file provided by Gena Samorodnitsky from Cornell University. I would like to keep this list correct and up-to-date. If you have corrections or additions, please e-mail them to me at the above address, and suggest where to place your references in one of the sections below. A sentence or two summarizing the content would be useful. Please provide all references in BibTeX form, especially if you have more than one or two additions. (See http://en.wikipedia.org/wiki/BibTeX for basic information on BibTEX.) Please send a copy of your papers along.
Applying a randomized nearest neighbors algorithm to dimensionality reduction

In this thesis, I implemented a randomized nearest neighbors algorithm in order to optimize an existing dimensionality reduction algorithm. In implementation I resolved details that were not considered in the design stage, and optimized the nearest neighbor system for use by the dimensionality reduction system. By using the new nearest neighbor system as a subroutine, the dimensionality reduction system runs in time O(nlogn) with respect to the number of data points. This enables us to examine data sets that were prohibitively large before. Thesis Supervisor: Joshua B. Tenenbaum Title: Assistant Professor of Cognitive Science and Computation
Density dynamics and changes in habitat use by the European mink and other native mustelids in connection with the American mink expansion in Belarus.

Changes in spatial structure of the native riparian mustelid guild including the European mink Mustela lutreola, otter Lutra lutra, polecat M. putorius and stoat M. erminea in connection with the expansion of the American mink M. vison were analysed on the basis of a radiotracking and snowtracking study in the upper reaches of the Lovat river, NE Belarus. Four main questions were investigated: (1) how does habitat selection differ between the native mustelids in the absence of American mink? (2) does habitat use change following the arrival of American mink and, if so, how? (3) does habitat selection differ between the two mink species? (4) how does European mink density before American mink arrival compare with American mink densities after the disappearance of European mink? Before American mink naturalization, European mink density was highest at small rivers and brooks, otter density was highest at larger rivers, polecats were found to inhabit all types of river banks and shores at a similar density. No changes in otter habitat use were found after the American mink expansion. Gradually, during four years of the American mink expansion, European mink became rare at small rivers. However, at brooks used less frequently by American mink there was little change in European mink density. Radiotracking data showed that American mink drive European mink away from rivers. European mink are still found at brooks, however, such small streams arc used more frequently by European mink males than by females, because there is not enough food to rear a litter. Following the American mink expansion, the polecat population along the banks and shores was reduced by approximately half. In riparian habitats American mink seems to be a more competitive species than the polecat and as a result, polecat populations tend to decline there. Furthermore, as with European mink, polecat females are at an even greater competitive disadvantage due to their smaller body size. The most important difference in habitat selection of the native mink and naturalized mink is that the European mink inhabited banks and shores and usually stayed close to aquatic ecosystems, whereas the American mink fairly frequently inhabited marshes, pools and even dry forest.
Fluorescent reporters for the ubiquitin–proteasome system

Regulated turnover of proteins in the cytosol and nucleus of eukaryotic cells is primarily performed by the ubiquitin-proteasome system (UPS). The UPS is involved in many essential cellular processes. Alterations in this proteolytic system are associated with a variety of human pathologies, such as neurodegenerative diseases, cancer, immunological disorders and inflammation. The precise role of the UPS in the pathophysiology of these diseases, however, remains poorly understood. Detection of UPS aberrations has been a major challenge because of the complexity of the system. Most studies focus on various aspects of the UPS, such as substrate recognition, ubiquitination, deubiquitination or proteasome activity, and do not provide a complete picture of the UPS as an integral system. To monitor the efficacy of the UPS, a number of reporter substrates have been developed based on fluorescent proteins, such as the green fluorescent protein and its spectral variants. These fluorescent UPS reporters contain specific degradation signals that target them with high efficiency and accuracy for proteasomal degradation. Several studies have shown that these reporters can probe the functionality of the UPS in cellular and animal models and provide us with important information on the status of the UPS under various conditions. Moreover, these reporters can aid the identification and development of novel anti-cancer and anti-inflammatory drugs based on UPS inhibition.
Boundary scan adaption for active substrate MCM-test

A MCM test strategy using boundary scan-cells integrated into silicon substrates is presented. The differences between IC-based boundary scan and active substrate boundary scan and their effects on scan-cell placement and design are highlighted. A yield optimized partition of the test circuitry and an adaption to commercially available boundary scan test systems is proposed. Active substrates with boundary scan test capabilities are fabricated based on the identified requirements. The adaption to the test system is evaluated.
Compiling sa-c to reconfigurable computing systems

Field Programmable Gate Arrays (FPGAs) have been available for approximately fifteen years and have experienced speed and density improvements similar to those of microprocessors. Current FPGAs can be reprogrammed in a matter of milliseconds, making them interesting candidates for reconfigurable computing, where specialized circuits can be produced for specific programs to execute more efficiently than a sequential program. Algorithms that are highly regular and exhibit parallelism may benefit from the use of FPGAs. A significant roadblock to this use of FPGAs is the difficult nature of programming them. Hardware description languages have been the predominant tools for creating FPGA circuit configurations, but these languages are low level and require digital circuit expertise as well as explicit handling of timing. To bring FPGAs into mainstream use by conventional programmers, familiar algorithmic language paradigms must be available, with compilers that can convert high level codes to FPGA configurations. This research presents SA-C (derived from “Single-Assignment C”), a pure functional algorithmic language intended for the expression of image processing (IP) applications. SA-C's functional nature makes the compiler's job easier, as compared with imperative languages: parallelism is easy to detect, and analysis and transformations are more straightforward. Perhaps the most important part of the language is its loop window generators, which not only express many IP operations in an elegant way but are highly useful in expressing optimizing transformations within the compiler. A Data Dependence and Control Flow (DDCF) hierarchical graph form is also presented, as an intermediate form with which the SA-C compiler performs its optimizations. These optimizations fall into two broad categories: graph simplifying and loop restructuring. The former are primarily conventional optimizations such as common subexpression elimination and constant folding. The loop restructuring optimizations include loop unrolling, stripmining and fusion, applied as DDCF-to-DDCF transformations using window generators. The compiler, after performing optimizations, is able to convert many inner loops to a low-level, flat dataflow graph designed for translation to VHDL and finally to FPGA configurations. The effects of the compiler's optimizations have been measured on some small kernel codes, and the loop restructuring optimizations are shown to be highly effective.
A Novel Triangular Chaotic Map (TCM) with Full Intensive Chaotic Population Based on Logistic Map

Chaos theory attempts to explain the result of a system that is sensitive to initial conditions, complex, and shows an unpredictable behaviour. Chaotic systems are sensitive to any change or changes in the initial condition(s) and are unpredictable in the long term. Chaos theory are implementing today in many different fields of studies. In this research, we propose a new one-dimensional Triangular Chaotic Map (TCM) with full intensive chaotic population. TCM chaotic map is a one-way function that prevents the finding of a relationship between the successive output values and increases the randomness of output results. The tests and analysis results of the proposed triangular chaotic map show a great sensitivity to initial conditions, have unpredictability, are uniformly distributed and random-like and have an infinite range of intensive chaotic population with large positive Lyapunov exponent values. Moreover, TCM characteristics are very promising for possible utilization in many different study fields.
Enhancing an Open-Access Linguistics Journal Archive with Library of Congress-like Metadata: A Case Study of the Effectiveness for Improving Discovery

The University of Kansas has hosted the Kansas Working Papers in Linguistic (KWPL) in its digital repository, KU ScholarWorks, since 2007, but complete subject metadata, based on Library of Congress Subject Headings, was added only in 2013. The purpose of this study was to determine the efficacy of adding Library of Congress subject headings in enhancing discoverability and increasing downloads. Results have provided compelling evidence that the additional metadata has led to an overall increase of downloads from KWPL by 66% in the year following the addition of the enhanced metadata.
Central Nervous System Delivery of Interleukin 4 by a Nonreplicative Herpes Simplex Type 1 Viral Vector Ameliorates Autoimmune Demyelination

Multiple sclerosis (MS) is a T cell-mediated organ-specific inflammatory disease leading to central nervous system (CNS) demyelination. On the basis of results obtained in experimental autoimmune encephalomyelitis (EAE) models, MS treatment by administration of antiinflammatory cytokines such as interleukin 4 (IL-4) is promising but is hampered by the limited access of the cytokines to the CNS and by the pleiotropic effects of systemically administered cytokines. We established a cytokine delivery system within the CNS using non-replicative herpes simplex type 1 (HSV-1) viral vectors engineered with cytokine genes. These vectors injected into the cisterna magna (i.c.) of mice diffuse in all ventricular and subarachnoid spaces and infect with high efficiency the ependymal and leptomeningeal cell layers surrounding these areas, without obvious toxic effects. Heterologous genes contained in the vectors are efficiently transcribed in infected ependymal cells, leading to the production of high amounts of the coded proteins. For example, 4.5 ng of interferon gamma (IFN-gamma) per milliliter is secreted into the cerebrospinal fluid (CSF) up to day 28 postinjection (p.i.) and reaches the CNS parenchyma in bioactive form, as demonstrated by upregulation of MHC class I expression on CNS-resident cells. We then exploited the therapeutic potential of the vectors in EAE mice. An HSV-1-derived vector containing the IL-4 gene was injected i.c. in Biozzi AB/H mice at the time of EAE induction. We found the following in treated mice: (1) delayed EAE onset, (2) a significant decrease in clinical score, (3) a significant decrease in perivascular inflammatory infiltrates and in the number of macrophages infiltrating the CNS parenchyma and the submeningeal spaces, and (4) a reduction in demyelinated areas and axonal loss. Peripheral T cells from IL-4-treated mice were not affected either in their antigen-specific proliferative response or in cytokine secretion pattern. Our results indicate that CNS cytokine delivery with HSV-1 vectors is feasible and might represent an approach for the treatment of demyelinating diseases. Advantages of this approach over systemic cytokine administration are the high cytokine level reached in the CNS, the absence of effects on the peripheral immune system, and the long-lasting cytokine production in the CNS after a single vector administration.
Phenetic analyses of morphological traits in the Malesherbia humilis complex (Malesherbiaceae)

Malesherbia (Malesherbiaceae) is a small, xerophytic group endemic to the Peruvian and Chilean deserts and adjacent Argentina. Malesherbia humilis var. humilis, M. humilis var. propinqua, M. humilis var. parviflora, M. gabrielae, M. taltalina, and M. multiflora form a morphologically cohesive group native to Chile and Argentina characterized by a profusion of small flowers and a short, bushy habit. The difficulty in distinguishing among these taxa suggests that the taxonomic delimitations may not be meaningful. A phenetic study was conducted to determine if this complex is best treated as a large, polymorphic species or as a series of very similar yet distinguishable taxa. Sixteen morphological characters were examined on 113 operational taxonomic units (OTUs); the data were analyzed using UPGMA, PCA, and discriminant analyses. Five clusters were identified by the analyses. These clusters are distinguishable by minor characters and are geographically cohesive. Because of the minor nature of the differences found and the unreliability of most differences noted in the descriptions of the taxa, these five clusters are recognized as varieties of M. humilis. A key to the varieties and short descriptions of each are presented.
Composição química, digestibilidade e cinética de degradação ruminal das silagens de híbridos de girassol em diferentes épocas de semeadura

The objective of this trial was to estimate chemical composition, digestibility and ruminal degradation kinetics of silages from four sunflower hybrids: Rumbosol-91 (forage), M-734 (double purpose), C-11 (double purpose) and BRS-191 (grain) sowed in October (early), November (normal) and December (late). A randomized complete block design in a 4 x 3 factorial arrangement (four hybrids x three seeding dates) with three replicates was used. Dry matter values ranged from 23.2 to 43.0%, pH from 4.0 to 5.1, and NH3-N%/TN from 5.3 to 16.8%. Ash values increased from October to December ranging from 6.8 to 8.8%. The Rumbosol-91 showed the lowest content of EE and the highest contents of N in the cell wall, unavailable N and total carbohydrates (TC). Crude protein contents increased from October to December while the opposite was observed for TC. November sowing and the C-11 gave the lowest contents of NDF, NDFcp and ADF. The C-11 sowed in November gave the lowest ADL values. October sowing and the Rumbosol-91 gave the highest content of ADL%/NDF. The Rumbosol-91 gave higher IVDMD and IVNDFD. November sowing and the C-11 and M-734 hybrids gave the highest value of TDN. Only one degradation profile was necessary to fit DM disappearance data. The proportion of undegradable NDF (I) increased from October to December sowing, being the BRS-191 sowed in December gave the highest values. The extent (Vf1) and rate (k1) of degradation of soluble fractions of rapid digestion decreased from October to December sowing, being the Rumbosol-91 sowed in October gave the highest values. The overall nutritive value measured by chemical composition, digestibility, total digestible nutrients and ruminal degradation kinetics was better for the M-734 and C-11 hybrids sowed in November.
Automatic discrimination of arrhythmia waveforms using fuzzy logic

A method was proposed for discrimination of ventricular arrhythmias using fuzzy logic. The classifier uses four features of ECG waveforms; amplitude variation ratio, interval variation ratio, peak sharpness, QRS complex width, and assigns each waveform a number of 0-100. The performance of the algorithm was evaluated on the surface and intracardiac electrocardiograms of ventricular tachycardia (VT), ventricular fibrillation (VF) and normal sinus rhythm (NSR) in mongrel dogs. NSRs were evaluated 90-100 while VFs less than 10. VTs were assigned the numbers of 30-75. An automatic detection and defibrillation experiment was performed with this algorithm.
Effects of macromolecular crowding on the intrinsic catalytic efficiency and structure of enterobactin-specific isochorismate synthase.

Macromolecular crowding was found to significantly enhance the intrinsic catalytic efficiency of the enterobactin-specific isochorismate synthase by inducing structural change in the enzyme. This finding provides the first experimental evidence that macromolecular crowding directly affects protein structure and function in the absence of crowding-susceptible macromolecular association.
Combining Hadoop on Demand with High Performance Computing Resources

Hadoop on demand is a setup to create virtual hadoop clusters over large physical clusters. It allocates nodes using torque resource manager and starts hadoop map/reduce and HDFS daemons. HPC resource management systems and hadoop both have different job submission system,so it is quite difficult to combine hadoop with HPC resources. We describe a framework so that users can develop their hadoop codes on hpc resources. we are configuring processor limit to keep our hadoop clusters running strong and performing optimum
Five methods for simplification of logic function and comparison of their characteristics

Five methods for generating all prime implicants from any given function, especially shown by the sum form of minterms which is suitable to program processing using the LISP language for the symbolic process, are proposed. Their characteristics are compared by running their LISP programs on the LISP machine ELIS. As a result, it was proved that in general, but particularly for the higher numbers of variables, the operating time of the AMG-DIV (adjacent-minterms-groups plus its division) method was equal to that of the IONEX-DIV (improved consensus expansion) method and that the operating times of both methods were superior to those of the other methods. <<ETX>>