Miracle-dz/UniFAR-FTUs huggingface dataset:
pRb, Myc and p53 are critically involved in SV40 large T antigen repression of PDGF β-receptor transcription

The expression of the PDGF β-receptor is tightly regulated during a normal cell cycle. c-Myc and p73α repress transcription of the receptor through interaction with NF-Y. In ST15A cells which stably express the temperature-sensitive SV40 large T antigen (LT) the receptor expression and ligand binding decreased under the permissive condition. Transient expression of the LT, but not small t, decreased the endogenous receptor expression at mRNA and protein levels in NIH3T3 cells but not in the myc-null HO15.19 cells. The wild-type LT, but not the various pRb or p53 binding defective LT mutants, represses the PDGF β-receptor promoter activity. Moreover, the inability of the LT-mediated repression in the myc-null cells, the Rb-null 3T3 cells, and the Saos-2 cells lacking pRb and p53, indicates that Myc, pRb and p53 are all necessary elements. PDGF β-receptor promoter-luciferase assays revealed that the CCAAT motif is important for the repression. Furthermore, p53 was found to increase the promoter activity mainly via the upstream Sp1 binding sites together with the CCAAT motif in the NIH 3T3 cells. This was confirmed by Schneider's Drosophila line (SL2) cells deficient in both endogenous NF-Y and Sp1. Chromatin immunoprecipitation using ST15A cells revealed that both LT and p53 bound the PDGF β-receptor promoter and the binding of p53 diminished when LT was expressed in the permissive condition. However, LT binds the promoter in the absence of pRb and p53 in Saos-2 cells stably expressing LT. These results suggest that LT binds the promoter and interferes with NF-Y and Sp1 to repress it in the presence of Myc, pRb and p53.
A Novel Overlap Area Matching Algorithm Based on Location Fingerprinting in Wireless Networks

Accurate and correct indoor positioning in wireless networks could provide interesting services and applications in many fields. There are Time of Arrival (TOA), Time Difference of Arrival (TDOA), Angle of Arrival (AOA), and location fingerprinting schemes that can be used for positioning. We choose location fingerprinting in this paper because it is more applicable to complex indoor environments than other schemes. Location fingerprinting uses received signal strength (RSS) to estimate locations of mobile nodes or users. Probabilistic method and k-Nearest-Neighbor (kNN) are previously proposed positioning techniques based on location fingerprinting. However, these two techniques only use the mean of received signal strength at positioning stage, and the standard deviation of received signal strength is ignored and not considered when positioning. Therefore, the positioning accuracy can hardly obtain further improvement. In this paper, we firstly proposed a novel positioning technique which is based on Overlap Area Matching Algorithm in which the mean and standard deviation of received signal strength are considered both at sampling stage and at positioning stage. Then we presented Pascal source code of Overlap Area Matching Algorithm in order to understand the proposed positioning technique more clearly. Furthermore, the experimental testbed, experimental results and comparisons among the kNN, Probabilistic and Overlap Area Matching were discussed. Experimental results show that the proposed positioning algorithm in this paper can improve the positioning accuracy remarkably. Finally, we summarized the paper and gave possible future directions for research on wireless positioning techniques for indoor environments.
Nonobese Diabetic (NOD) Mice Congenic for a Targeted Deletion of 12/15-Lipoxygenase Are Protected From Autoimmune Diabetes

OBJECTIVE— 12/15-lipoxygenase (12/15-LO), one of a family of fatty acid oxidoreductase enzymes, reacts with polyenoic fatty acids to produce proinflammatory lipids. 12/15-LO is expressed in macrophages and pancreatic β-cells. It enhances interleukin 12 production by macrophages, and several of its products induce apoptosis of β-cells at nanomolar concentrations in vitro. We had previously demonstrated a role for 12/15-LO in β-cell damage in the streptozotocin model of diabetes. Since the gene encoding 12/15-LO (gene designation Alox15) lies within the Idd4 diabetes susceptibility interval in NOD mice, we hypothesized that 12/15-LO is also a key regulator of diabetes susceptibility in the NOD mouse. RESEARCH DESIGN AND METHODS— We developed NOD mice carrying an inactivated 12/15-LO locus (NOD-Alox15null) using a “speed congenic” protocol, and the mice were monitored for development of insulitis and diabetes. RESULTS— NOD mice deficient in 12/15-LO develop diabetes at a markedly reduced rate compared with NOD mice (2.5 vs. >60% in females by 30 weeks). Nondiabetic female NOD-Alox15null mice demonstrate improved glucose tolerance, as well as significantly reduced severity of insulitis and improved β-cell mass, when compared with age-matched nondiabetic NOD females. Disease resistance is associated with decreased numbers of islet-infiltrating activated macrophages at 4 weeks of age in NOD-Alox15null mice, preceding the development of insulitis. Subsequently, islet-associated infiltrates are characterized by decreased numbers of CD4+ T cells and increased Foxp3+ cells. CONCLUSIONS— These results suggest an important role for 12/15-LO in conferring susceptibility to autoimmune diabetes in NOD mice through its effects on macrophage recruitment or activation.
AN APPROACH FOR THE FORMATION OF LEVERAGE COEFFICIENTS-BASED RECOMMENDATIONS IN SOCIAL NETWORK

On the basis of the drawbacks of the current recommender systems additional functionality to the social network, namely, recommender system with management possibility is proposed. In order to implement such functionality to the social network, the following elements of a new method are presented in this paper: a metamodel of the recommendation; an algorithm for leverage coefficients-based recommendations formation; an algorithm of leverage coefficients-based recommendations interpretation. The paper also discusses the possibility to extend social network's business logic with business rules features and presents some fragments of the prototype that realizes these features.
An Affective Model for the Construction of a Computer Chat Agent

Emotions play a critical role in human cognition and are an integral part of the human experience. They serve an important role in decision-making, perception, human interaction, and intelligence. It can be argued that in order to be intelligent one must exhibit emotions. This work explores one aspect of ‘affective computing,’ computing that relates to, arises from, or deliberately influences emotions. A model for an emotionally intelligent computer chat agent is outlined in this paper. This model will use the five-factor model of personality derived from psychological studies to construct the agent’s personality. This agent will communicate using natural language and will also recognize the emotions of the user and respond according to its personality. It will be shown that the cognitive agent represents a more human-like chat partner.
Three‐dimensional reconstitution of embryonic cardiomyocytes in a collagen matrix: a new heart muscle model system

A method has been developed for culturing cardiac myocytes in a collagen matrix to produce a coherently contracting 3‐dimensional model heart tissue that allows direct measurement of isometric contractile force. Embryonic chick cardiomyocytes were mixed with collagen solution and allowed to gel between two Velcro‐coated glass tubes. During culture, the cardiomyocytes formed spontaneously beating cardiac myocyte‐populated matrices (CMPMs) anchored at opposite ends to the Velcro‐covered tubes through which they could be attached to a force measuring system. Immunohistochemistry and electron microscopy revealed a highly organized tissue‐like structure of α‐actin and α‐tropomyosin‐positive cardiac myocytes exhibiting typical cross‐striation, sarcomeric myofilaments, intercalated discs, desmosomes, and tight junctions. Force measurements of paced or unpaced CMPMs were performed in organ baths after 6–11 days of cultivation and were stable for up to 24 h. Force increased with frequency between 0.8 and 2.0 Hz (positive “staircase”), increasing rest length (Starling mechanism), and increasing extracellular calcium. The utility of this system as a test bed for genetic manipulation was demonstrated by infecting the CMPMs with a recombinant β‐galactosidase‐carrying adenovirus. Transduction efficiency increased from about 5% (MOI 0.1) to about 50% (MOI 100). CMPMs display more physiological characteristics of intact heart tissue than monolayer cultures. This approach, simpler and faster than generation of transgenic animals, should allow functional consequences of genetic or pharmacological manipulation of cardiomyocytes in vitro to be studied under highly controlled conditions. —Eschenhagen, T. , Fink, C. , Remmers, U. , Scholz, H. , Wattchow, J., Weil, J., Zimmermann, W. , Dohmen, H. H. , Schäfer, H. , Bishopric, N. , Wakatsuki, T. , Elson, E. L. Three‐dimensional reconstitution of embryonic cardiomyocytes in a collagen matrix: a new heart muscle model system. FASEB J. 11, 683–694 (1997)
Towards an inclusion driven learning of Bayesian Networks

Two or more Bayesian Networks are Markov equivalent when their corresponding acyclic digraphs encode the same set of conditional independence (= CI) restrictions. Therefore, the search space of Bayesian Networks may be organized in classes of equivalence, where each of them consists of a particular set of CI restrictions. The collection of sets of CI restrictions obeys a partial order, the graphical Markov model inclusion partial order, or inclusion order for short. This paper discusses in depth the role that inclusion order plays in learning the structure of Bayesian networks. We prove that under very special conditions the traditional hill-climber always recovers the right structure. Moreover, we extend the recent experimental results presented in (Kocka and Castelo, 2001). We show how learning algorithms for Bayesian Networks, that take the inclusion order into account, perform better than those that do not, and we introduce two new ones in the context of heuristic search and the MCMC method.
ArgoLib v 3 . 5 : System Description for SMTComp ’ 07 ∗

SAT solver. DPLL(X) part of the system is based on our SAT solver called argosat. argo-sat is a rational reconstruction of the MiniSat solver [3]. The main design goal of argo-sat was to improve code readability and flexibility of MiniSat without affecting its performance. This makes experimenting in the field of SAT research easier, and also enables us to formally prove the correctness of the solver, which is another goal of our research. We believe that we have successfully achieved this design goal, and some parts of argo-sat are already formally verified. argo-sat supports most state-of-the-art SAT techniques including two-watched-literals propagation scheme, non-chronological backtracking, conflict analysis and learning, VSIDS like literal selection scheme, etc. In order to use argo-sat as an SMT solver engine, several adjustments had to be made. Solver is made online, and theory propagation is enabled.
A no-reference perceptual blur metric based on the blur ratio of detected edges

In this paper, we present an efficient no-reference image blur metric which is based on the analysis of the spread of edge and the study of human blur perception for varying contrast values. Our method calculates blur ratio of significant edges and global vertical edges respectively, and final score is a weighted average of the two ratios because giving different edges different corresponding weights will improve prediction accuracy. Evaluation of the proposed metric shows its high prediction accuracy when it is applied to Gaussian blurred images. Experiments using the LIVE and TID Gaussian blur dataset demonstrate that the proposed algorithm correlates well with subjective quality evaluations.
Resource-centric task allocation in grids with artificial danger model support

This paper addresses the problem of scheduling bag-of-tasks (BoT) applications in grids and presents a novel heuristic, called the most suitable match with danger model support algorithm (MSMD) for these applications. Unlike previous approaches, MSMD is capable of efficiently dealing with BoT applications regardless of whether they are computationally or data intensive, or a mixture of both; this strength of MSMD is achieved by making scheduling decisions based on the suitability of resource-task matches, instead of completion time. MSMD incorporates an artificial danger model - based on the danger model in immunology - which selectively responds to unexpected behaviors of resources and applications, in order to increase fault-tolerance. The results from our thorough and extensive evaluation study confirm the superior performance of MSMD, and its generic applicability compared with previous approaches that only consider one or the other of the task requirements.
TORSION AND FIBRATIONS

We study the behaviour of analytic torsion under smooth fibrations. Namely, let F \to E \to^{f} B be a smooth fiber bundle of connected closed oriented smooth manifolds and let $V$ be a flat vector bundle over $E$. Assume that $E$ and $B$ come with Riemannian metrics and $V$ comes with a unimodular (not necessarily flat) Riemannian metric. Let $\rho_{an}(E;V)$ be the analytic torsion of $E$ with coefficients in $V$ and let $\Pf_B$ be the Pfaffian $\dim(B)$-form. Let $H^q_{dR}(F;V)$ be the flat vector bundle over $B$ whose fiber over $b \in B$ is $H^q_{dR}(F_b;V)$ with the Riemannian metric which comes from the Hilbert space structure on the space of harmonic forms induced by the Riemannian metrics. Let $\rho_{an}(B;H^q_{dR}(F;V))$ be the analytic torsion of $B$ with coefficients in this bundle. The Leray-Serre spectral sequence for deRham cohomology determines a certain correction term $\rho^{Serre}_{dR}(f)$. We prove $\rho_{an}(E;V) = \int_B \rho_{an}(F_b;V) \cdot \Pf_B + \sum_{q} (-1)^q \cdot \rho_{an}(B;H^q_{dR}(F;V)) + \rho^{Serre}_{dR}(f)$.
Operational effectiveness of single-dose nevirapine in preventing mother-to-child transmission of HIV.

OBJECTIVE To determine the operational effectiveness of the South African programme for preventing mother-to-child transmission (PMTCT) of HIV in reducing rates of early transmission of infection. METHODS Participants were mother-infant pairs who participated in the South African PMTCT programme between October 2002 and November 2004. This was a prospective cohort study. Three sites in different provinces were selected to represent differences in socioeconomic status and HIV prevalence. Data on antenatal care and labour ward care were obtained from maternal interviews and from reviews of medical records. A total of 665 mother-infant pairs in which the mother was HIV-positive were recruited and 588 (88.4%) were followed up at 3 or 4 weeks postpartum to determine the HIV status and vital status of the infant. FINDINGS Rural participants were significantly poorer and their health care was significantly worse. Women of higher socioeconomic status and those who received better counselling were more likely to be treated with nevirapine. Rates of early HIV transmission ranged from 8.6% to 13.7%. Maternal viral load was the only statistically significant risk factor for transmission. After adjusting for maternal viral load and prevalence of low birth weight, the odds of transmission were 1.8 times higher at the rural site. Controlling for having had > or = 4 antenatal visits and any delivery complication reduced the odds of transmission to 1.5 higher at the rural site. CONCLUSION Rates of early transmission of HIV in an operational setting using single-dose nevirapine administered both to mother and child are similar to those obtained in clinical trials. Scaling up access to antiretroviral regimens for women will further reduce transmission to infants.
The Clinical Use of MEG Activity Associated with Brain Lesions

Brain lesions may influence their border zones by moving, compressing, infiltration, edema or by a mixture of all. Sources of evoked and spontaneous activity in border zones can be localized by magnetoencephalography (MEG) giving information on the function of these areas. The inherent multisource problem of the MEG can be handled by using spatial average techniques (DipoleDensity-Plot (DDP) and Current-Density-Plot (CDP)). The reliability was tested with structural lesions (tumors and infarctions). The localizing of the somatosensory, the motor, and the auditory cortex and the speech related areas in relation to adjacent tumors is established in our clinical routine. The MEG results will be fused into the neuronavigator for image guided neurosurgery. In two studies with subjcets and patients our MEG results have been compared to the results of the functional MRI (fMRI). In the presurgical evaluation of epileptic patients the localization of the epileptogenic lesion is an additional valuable tool, especially when the lesion is not visible in the MRI. In patients with multiple sclerosis we could demonstrate that the white matter lesions produce abnormal activity only in the adjacent neuronal areas. In the field of cerebrovascular accidents the penumbra can be localized in infarctions and TIAs. The feasibility to localize the penumbra by the MEG was demonstrated by our two comparisons of MEG results and those of the proton magnetic resonance spectroscopic imaging ( 1 H MRSI) of N-acetyl and lactate in patients with brain infarction and tumors.
Security model and framework for information aggregation in sensor networks

Information aggregation is an important operation in wireless sensor networks (WSNs) executed for the purpose of monitoring and reporting environmental data. Due to the performance constraints of sensor nodes the in-network form of the aggregation is especially attractive since it allows saving expensive resources during frequent network queries. Easy accessibility of networks and nodes and almost no physical protection against corruptions raise high security challenges. Protection against attacks aiming to falsify the aggregated result is considered to be of prime importance. In this article we design the first general framework for secure information aggregation in WSNs focusing on scenarios where aggregation is performed by one of its nodes. The framework achieves security against node corruptions and is based solely on the symmetric cryptographic primitives that are more suitable for WSNs in terms of efficiency. We analyze performance of the framework and unlike many previous approaches increase confidence in it by a rigorous proof of security within the specially designed formal security model.
Optimized Micro-Channel Design for Stacked 3-D-ICs

The three dimensional circuit (3-D-IC) achieves high performance by stacking several layers of active electronic components vertically. Despite its impact on performance improvement, 3-D-IC also brings great challenges to chip thermal management due to its high heat density. Microchannel-based liquid cooling shows great potential in removing the high density heat inside 3-D circuits. The current microchannel heat sink designs spread the entire surface to be cooled with microchannels. This approach, though it provides sufficient cooling, consumes significant amount of extra cooling power. In this paper, we investigate the design of non-uniformly distributed microchannel cooling systems which provide sufficient cooling with less cooling power. The experiments show that, compared with the conventional design which spreads microchannels all over the chip, our non-uniform microchannel design achieves up to 80% cooling power savings.
Atypical Integration of Motion Signals in Autism Spectrum Conditions

Vision in Autism Spectrum Conditions (ASC) is characterized by enhanced perception of local elements, but impaired perception of global percepts. Deficits in coherent motion perception seem to support this characterization, but the roots and robustness of such deficits remain unclear. We aimed to investigate the dynamics of the perceptual decision-making network known to support coherent motion perception. In a series of forced-choice coherent motion perception tests, we parametrically varied a single stimulus dimension, viewing duration, to test whether the rate at which evidence is accumulated towards a global decision is atypical in ASC. 40 adult participants (20 ASC) performed a classic motion discrimination task, manually indicating the global direction of motion in a random-dot kinematogram across a range of coherence levels (2–75%) and stimulus-viewing durations (200–1500 ms). We report a deficit in global motion perception at short viewing durations in ASC. Critically, however, we found that increasing the amount of time over which motion signals could be integrated reduced the magnitude of the deficit, such that at the longest duration there was no difference between the ASC and control groups. Further, the deficit in motion integration at the shortest duration was significantly associated with the severity of autistic symptoms in our clinical population, and was independent from measures of intelligence. These results point to atypical integration of motion signals during the construction of a global percept in ASC. Based on the neural correlates of decision-making in global motion perception our findings suggest the global motion deficit observed in ASC could reflect a slower or more variable response from the primary motion area of the brain or longer accumulation of evidence towards a decision-bound in parietal areas.
nterruptions in the workplace : A case study to reduce their effects dward

Collaboration is an important aspect for virtually all workplace environments. Workplaces often encourage and foster collaboration in a variety of ways with the purpose to collectively focus the group’s attention on a specific problem and solve it as quickly and as efficiently as possible. While collaboration is generally viewed as a positive aspect of the workplace, the negative aspect—interruption—cannot be ignored. Interruptions are an important research area of human–computer interaction and with the growth of pervasive or ubiquitous computing on the rise, the number of interruptions we experience on a daily basis is also growing. It is for these reasons that interruption is and will continue to be a key issue in workplaces. This report presents the findings of a qualitative research project which explored interruptions in a mid-size software development company based in Ontario, Canada. The purpose of this research was to identify the types of interruptions (both onand off-task) that occur during typical office software related activities, explore the contextual characteristics surrounding these interruptions, and identify methodologies that could be used to reduce the cost of interruptions and increase employee effectiveness and satisfaction.