Miracle-dz/UniFAR-FTUs huggingface dataset:
Genome-wide association analysis for quantitative trait loci influencing Warner–Bratzler shear force in five taurine cattle breeds

Summary We performed a genome-wide association study for Warner–Bratzler shear force (WBSF), a measure of meat tenderness, by genotyping 3360 animals from five breeds with 54 790 BovineSNP50 and 96 putative single-nucleotide polymorphisms (SNPs) within μ-calpain [HUGO nomenclature calpain 1, (mu/I) large subunit; CAPN1] and calpastatin (CAST). Within- and across-breed analyses estimated SNP allele substitution effects (ASEs) by genomic best linear unbiased prediction (GBLUP) and variance components by restricted maximum likelihood under an animal model incorporating a genomic relationship matrix. GBLUP estimates of ASEs from the across-breed analysis were moderately correlated (0.31–0.66) with those from the individual within-breed analyses, indicating that prediction equations for molecular estimates of breeding value developed from across-breed analyses should be effective for genomic selection within breeds. We identified 79 genomic regions associated with WBSF in at least three breeds, but only eight were detected in all five breeds, suggesting that the within-breed analyses were underpowered, that different quantitative trait loci (QTL) underlie variation between breeds or that the BovineSNP50 SNP density is insufficient to detect common QTL among breeds. In the across-breed analysis, CAPN1 was followed by CAST as the most strongly associated WBSF QTL genome-wide, and associations with both were detected in all five breeds. We show that none of the four commercialized CAST and CAPN1SNP diagnostics are causal for associations with WBSF, and we putatively fine-map the CAPN1 causal mutation to a 4581-bp region. We estimate that variation in CAST and CAPN1 explains 1.02 and 1.85% of the phenotypic variation in WBSF respectively.
Kerr/CFT Correspondence

Quantum gravity in the region very near the horizon of an extreme Kerr black hole (whose angular momentum and mass are related by J=GM{sup 2}) is considered. It is shown that consistent boundary conditions exist, for which the asymptotic symmetry generators form one copy of the Virasoro algebra with central charge c{sub L}=(12J/({Dirac_h}/2{pi})). This implies that the near-horizon quantum states can be identified with those of (a chiral half of) a two-dimensional conformal field theory (CFT). Moreover, in the extreme limit, the Frolov-Thorne vacuum state reduces to a thermal density matrix with dimensionless temperature T{sub L}=(1/2{pi}) and conjugate energy given by the zero mode generator, L{sub 0}, of the Virasoro algebra. Assuming unitarity, the Cardy formula then gives a microscopic entropy S{sub micro}=(2{pi}J/({Dirac_h}/2{pi})) for the CFT, which reproduces the macroscopic Bekenstein-Hawking entropy S{sub macro}=(Area/4({Dirac_h}/2{pi})G). The results apply to any consistent unitary quantum theory of gravity with a Kerr solution. We accordingly conjecture that extreme Kerr black holes are holographically dual to a chiral two-dimensional conformal field theory with central charge c{sub L}=(12J/({Dirac_h}/2{pi})), and, in particular, that the near-extreme black hole GRS 1915+105 is approximately dual to a CFT with c{sub L}{approx}2x10{sup 79}.
Tolerating changes in a design psychology based web page wrapper

We introduce an innovative approach to wrapping semi-structured web pages in order to generate structured data. Unlike other work in this area that is based on physically specifying the location of information, our approach is based on human design psychology that captures more stable features in web pages, which we believe renders a more robust result in coping with changes in the web pages. In this paper, we focus on the product advertisement domain, and a set of design psychology principles for product advertisement is presented and used to design the wrapping rules. A case study in the mobile phone advertisement domain is used to evaluate this approach.
Stereo Vision Computer Depth Perception

Stereo Vision is an area of study in the field of Machine Vision that attempts to recreate the human vision system by using two or more 2D views of the same scene to derive 3D depth information about the scene. Depth information can be used to track moving objects in 3D space, gather distance information for scene features, or to construct a 3D spatial model of a scene. As an emerging technology, Stereo Vision algorithms are constantly being revised and developed, and as we will discuss in this paper, many alternative approaches exist for implementation of a Stereo Vision system. This paper introduces Stereo Vision as an area of current international research, presents some interesting applications of Stereo Vision, and discusses implementation of a Stereo Vision system.
Bleaching Agent Action on Color Stability, Surface Roughness and Microhardness of Composites Submitted to Accelerated Artificial Aging

Objectives: The purpose of this study was to evaluate the bleaching agent action on color stability, surface roughness and microhardness of composites (Charisma, Filtek Supreme and Heliomolar - A2) submitted to accelerated artificial aging (AAA). Methods: A Teflon matrix (12 x 2 mm) was used to fabricate 18 specimens (n=6) which, after polishing (Sof-Lex), were submitted to initial color reading (ΔE), Knoop microhardness (KHN) (50 g/15 s load) and roughness (Ra) (cut-off 0.25 mm) tests. Afterwards, the samples were submitted to AAA for 384 hours and new color, microhardness and roughness readings were performed. After this, the samples were submitted to daily application (4 weeks) of 16% Carbamide Peroxide (NiteWhite ACP) for 8 hours and kept in artificial saliva for 16 hours. New color, microhardness and roughness readings were made at the end of the cycle, and 15 days after bleaching. Results: Comparison of the ΔE means (2-way ANOVA, Bonferroni, P<.05) indicated clinically unacceptable color alteration for all composites after AAA, but without significant difference. Statistically significant increase in the KHN values after AAA was observed, but without significant alterations 15 days after bleaching. For Ra there was no statistically significant difference after AAA and 15 days after bleaching. Conclusions: The alterations promoted by the bleaching agent and AAA are material dependent.
Integrating Behavioral Health Care into HIV/AIDS Care Clinics in Puerto Rico

People living with HIV/AIDS (PLWHA) are more likely to have mental health needs than the general population. Integrating behavioral health services in the primary care scenario has the potential to improve the physical and psychological well-being of PLWHA. However, this integration requires addressing fundamental issues, such as clinicians training, the development of new administrative processes, and addressing infrastructure issues. We describe the Primary Care Psychology Program (PCPP) in Puerto Rico created to address the mental health needs of PLWHA. PCPP provides care in a multidisciplinary and collaborative manner that focuses on HIV, uses behavioral measures to drive clinical decisions, and provides evidence-based treatments. In addition, the article presents preliminary findings from a retrospective chart review that evidenced improvements of CD4 counts, viral load, and depressive symptoms among PLWHA. We conclude that the primary care behavioral health model has the potential to address the complexities in HIV-care and improve the quality of life among PLWHA in Puerto Rico.
A responsive demand management framework for the minimization of waste in convenience food manufacture

Convenience food manufacture generates considerable waste through poor planning of production. This problem is particularly acute for products that have a very short shelf-life and will be disposed of as waste should their shelf life expire. Chilled ready-meals are convenience foods with relatively short shelf-lives and volatile consumer demands; their manufacture is based on forecasted volumes and when demand has been over-predicted, considerable wastes are created. This is referred to as overproduction waste (OPW), which typically sees finished products disposed of through commercial waste channels as a result of lack of demand. The research reported in this paper has investigated the generation of a responsive demand management framework for the reduction of OPWs.
Faculteit Economie En Bedrijfskunde Tweekerkenstraat 2 B-9000 Gent Random Forests for Multiclass Classification: Random Multinomial Logit Random Forests for Multiclass Classification: Random Multinomial Logit

—Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain. Unfortunately, to date, it is unable to handle huge feature spaces typical of CRM applications. Hence, the analyst is forced to immerse himself into feature selection. Surprisingly, in sharp contrast with binary logit, current software packages lack any feature selection algorithm for MultiNomial Logit. Conversely, Random Forests, another algorithm learning multi class problems, is ju st like MNL robust but unlike MNL it easily handles high-dimensional feature spaces. This paper investigates the potential of applying the Random Forests principles to the MNL framework. We propose the Random MultiNomial Logit (RMNL), i.e. a random forest of MNLs, and compare its predictive performance to that of a) MNL with expert feature selection, b) Random Forests of classification trees. We illustrate the Random MultiNomial Logit on a cross-sell CRM problem within the home-appliances industry. The results indicate a substantial increase in model accuracy of the RMNL model to that of the MNL model with expert feature selection.
Relation discovery of mobile network alarms with sequential pattern mining

In telecommunication network systems, there are a large number of interconnected components which also contain many subcomponents. Heavy rain, thunder or other factors can cause mal-function of the components or disconnections between the components which trigger alarms. Because of the interconnection of elements, triggered alarms may propagate to other components. This creates harsh challenges to network operators when it comes to root cause analysis. We address this issue by proposing a method on utilizing network alarms for automatic relation discovery between network nodes. By understanding how network elements or network problems are related to each other, a network operator can easily correlate the alarm events and treat clustered groups of alarms instead of specific events. In this study, we use the temporal and spatial aspects of alarm events to cluster network elements. Our results demonstrate that by analyzing the network alarms, a relationship graph showing the connections between different network elements and network problems can be automatically generated. Such relationship graphs can help network operators mining node dependencies and discovering insights within their network.
Systems Thinking and Knowledge Sharing Technology

An important role for Internet technology is supporting knowledge development, sharing, and reuse within organizations. This is particularly the case with the activity of improving both individual and organizational performance. There is a need for reflexive systems thinking within organizations, to create learning organizations. While this is useful, it can only reach its full potential if the lessons learned from analysis are efficiently captured and distributed to all necessary staff. Knowledge Management and digital libraries are seen as ways of enabling organization-wide sharing of knowledge. These techniques have used traditional hierarchical taxonomies for organizing knowledge units. The knowledge unit is often a multi-page document that addresses numerous issues. This paper will examine the limitations of traditional organizational schemes. A web-based framework for organizing knowledge into aligned performance goal taxonomies is described. The framework is intended to support net-centric organizations that wish to break down knowledge silos and share knowledge across traditional organizational boundaries. The knowledge in the framework is packaged into knowledge objects rather than traditional documents.
Design and Implementation of Low-Power ANSI S1.11 Filter Bank for Digital Hearing Aids

Due to well matching the frequency characteristics of human ears, ANSI S1.11 1/3-octave filter bank is popular in acoustic applications, such as acoustic analyzers and equalizers. It is also desirable in hearing aids because the famous hearing aid prescription formula, NAL-NL1, prescribes its gains at ANSI 1/3-octave frequencies. However, the high computation complexity limits its usage, in which the power consumption is a critical concern. To address this issue, a low-power design and implementation of ANSI S1.11 filter bank for digital hearing aids is present. We first develop the complexity-effective multirate FIR filter bank algorithm. And, a systematic coefficient design flow is elaborated for the proposed filter bank to minimize the order of the FIR filter thereof. In an 18-band digital hearing aid with 24-kHz sampling rate, the proposed algorithm saves about 96% of multiplications and additions, comparing that with a straightforward FIR filter bank. Moreover, various low-power VLSI design techniques are investigated in detail and applied on our design. The proposed complexity-effective ANSI S1.11 FIR filter bank has been implemented in the TSMC 0.13-μ m CMOS technology with an area-efficient architecture. The test chip consumes only 87 μW, which is 30%-79% of that of the others available in the literature. The proposed low-power ANSI 1/3-octave bank makes itself being able to precisely apply the prescribed gains obtained by NAL-NL1 prescription formula for hearing-impaired people.
Effects of Gallic Acid and Cyclosporine A on Antioxidant Capacity and Cardiac Markers of Rat Isolated Heart After Ischemia/Reperfusion

Background: Myocardial infarction is one of the important causes of death during old ages. Gallic acid as an antioxidant or cyclosporine A (CsA) as inhibitor of mitochondrial permeability transition pore (mPTP) alone could prevent these complications to some extent, but their combination effect has not been investigated. Objectives: The aim of this study was to determine the combined effect of gallic acid and CsA on antioxidant capacity of isolated heart tissues during ischemia reperfusion. Materials and Methods: Eighty male Wistar rats were randomly assigned to different groups: sham, control (Ca, received saline, 1 mL/kg); 3 groups were pretreated with gallic acid (G1a: 7.5, G2a: 15, G3a: 30 mg/kg) for 10 days, and the other 3 groups were pretreated with gallic acid and received CsA (0.2 µM) for 10 minutes before induction of ischemia and during the first 10 minutes of reperfusion (G1b, G2b and G3b) and the last group received CsA alone (Cb). After 10 days of pretreatment, the heart was isolated and transferred to the Langendorff apparatus and exposed to 30 minutes ischemia followed by 60 minutes of reperfusion. After that cardiac markers and antioxidant enzymes were assessed in cardiac tissues. Results: Lactate dehydrogenase (LDH), Superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX) activity increased and malondialdehyde (MDA) decreased in animals pretreated with gallic acid significantly. However, pretreatment with gallic acid followed by CsA during reperfusion improved the antioxidant capacity and cardiac marker enzymes and restored the lipid peroxidation more effective than gallic acid or CsA alone. Nevertheless, CsA did not change the cardiac marker enzymes significantly. Conclusions: Gallic acid and CsA combination improved antioxidant capacity and cell membrane integrity more than each one alone. Therefore, it can be a therapeutic approach to reduce the I/R injury.
Design of Case-Based Reasoning System with Community Detection in Complexity Theory

As one of the most hot debated applications of Artificial Intelligence (AI), case-based reasoning (CBR) provides a methodology by reusing stored knowledge into new solutions. Due to its linear storage structure and similarity computation method between the target problem and the stored case, traditional CBR confronts with great challenges in efficiency and flexibility. In this paper, we propose a case-based reasoning system with community detection in complexity theory. With the introduction of Newman algorithm, a cluster tree could be established in order to organize the knowledge base into a hierarchical structure. Based on such design paradigm, the overhead of matching process could be greatly reduced, which will elevate the total performance of the system. Simulations and analysis present the efficiency improvement compared to traditional solutions.
HILBERT MODULES OF FOLIATED MANIFOLDS WITH BOUNDARY

Nous definissons dans cet article la notion de module de Hilbert a bord sur une C*-algebre B et demontrons que la classe correspondante dans K∗(B) est nulle. Ceci generalise l’invariance par bordisme de l’indice des operateurs elliptiques. Quelques consequences concernant des varietes feuilletees sont formulees, comme par exemple le calcul d’obstructions a l’existence de metriques riemanniennes a courbure scalaire longitudinale positive.
Analyzing Sentiment in Classical Chinese Poetry

Although sentiment analysis in Chinese social media has attracted a lot of interest in recent years, it has been less explored in traditional Chinese literature (e.g., classical Chinese poetry) due to the lack of sentiment lexicon resources. In this paper, we propose a weakly supervised approach based on Weighted Personalized PageRank (WPPR) to create a sentiment lexicon for classical Chinese poetry. We evaluate our lexicon intrinsically and extrinsically. We show that our graphbased approach outperforms a previous well-known PMI-based approach (Turney and Littman, 2003) on both evaluation settings. On the basis of our sentiment lexicon, we analyze sentiment in the Complete Anthology of Tang Poetry. We extract topics associated with positive (negative) sentiment using a position-aware sentimenttopic model. We further compare sentiment among different poets in Tang Dynasty (AD 618 ‐ 907).
Receiver Designs For MIMO HSDPA

Optimal linear receivers for MIMO HSDPA (as for SISO/SIMO) are symbol-level (deterministic) multiuser receivers, known unfortunately to be time-varying in nature and thus prohibitively complex. Traditional less complex alternative is dimensionality-reducing linear chip-equalization followed by further non-linear (interference canceling) or joint detection stages to improve symbol estimates. Well-known versions of former include inter-stream Successive Interference Canceling (SIC) involving all codes while the latter leads to per-code joint spatial maximum-likelihood (ML) receiver. We investigate the class of MIMO HSDPA receivers based upon LMMSE chip- level MIMO (equalizer) front end, and introduce two (one static and the other time-varying) models of the resulting spatial channel, a consequence of treating the scrambler as random or deterministic. It is shown that in the random case, statistical properties can be exploited to design MIMO receivers while the deterministic point-of-view leads to another set of reduced- dimensionality linear receivers or interference cancelers.
Molecular hydrogen formation during dense interstellar cloud collapse

We study the evolution of molecular hydrogen on the grain surfaces and in the gas phase using both the rate equation (which tracks the average number of various species) and the master equation (which tracks the expectation values of various species). We show that above a certain critical accretion rate of H on the grains, the results from these two methods become identical. We used this result to follow the collapse of a dense interstellar cloud and studied the formation of molecular hydrogen for two different temperatures (T = 10 and 12 K) and two different masses (1 and 10 M ○. ) of the cloud when olivine grains were used. Because at higher temperatures, the recombination is very small for these grains, we also studied similar hydrodynamic processes at higher temperatures (T = 20 and 25 K) when amorphous carbon grains were used. We find that generally, for olivine grains, more than 90 per cent H is converted to H 2 within ∼10 5-7 yr whereas for amorphous grains it takes ∼ 10 6-7 yr. H 2 formed in this manner can be adequate to produce the observed complex molecules.
Absence of a prominent Th2 cytokine response in human tuberculosis

Depressed Th1 responses are a prominent feature of human tuberculosis, but an enhanced Th2 response has not been detected in peripheral blood T cells stimulated in vitro with Mycobacterium tuberculosis. In disease due to Mycobacterium leprae, Th2 cells predominate in tissue lesions of patients with extensive disease but are absent from peripheral blood. To determine if Th2 cells are present in tissue lesions of tuberculosis patients, we evaluated patterns of cytokine expression in lymph nodes from tuberculosis patients with or without human immunodeficiency virus infection and in controls without tuberculosis. Gamma interferon and interleukin-10 (IL-10) mRNA expression in tuberculosis patients with or without human immunodeficiency virus infection was high, whereas IL-4 expression in the same patients was low. Immunolabeling studies showed that macrophage production of IL-12 was increased in lymph nodes from tuberculosis patients, that gamma interferon was produced by T cells, and that IL-10 was produced by macrophages rather than Th2 cells. These results indicate that Th2 responses are not enhanced either systemically or at the site of disease in human tuberculosis.
The Application of Affective Computing Technology to E-Learning

This chapter discusses the domain of affective computing and reviews the area of affective tutoring systems: e-learning applications that possess the ability to detect and appropriately respond to the affective state of the learner. A significant proportion of human communication is non-verbal or implicit, and the communication of affective state provides valuable context and insights. Computers are for all intents and purposes blind to this form of communication, creating what has been described as an “affective gap. ” Affective computing aims to eliminate this gap and to foster the development of a new generation of computer interfaces that emulate a more natural human-human interaction paradigm. The domain of learning is considered to be of particular note due to the complex interplay between emotions and learning. This is discussed in this chapter along with the need for new theories of learning that incorporate affect. Next, the more commonly applicable means for inferring affective state are identified and discussed. These can be broadly categorized into methods that involve the user’s input and methods that acquire the information independent of any user input. This latter category is of interest as these approaches have the potential for more natural and unobtrusive implementation, and it includes techniques such as analysis of vocal patterns, facial expressions, and physiological state. The chapter concludes with a review of prominent affective tutoring systems in current research and promotes future directions for e-learning that capitalize on the strengths of affective computing.