Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding source-to-source transformations for frequent porting of applications on changing cloud architectures

Writing code for heterogeneous architectures with processors and accelerators from multiple vendors from scratch or translating existing serial code, a lot of effort and investment will be required from the application developer. This problem will become more prominent when HPC applications are moved into the Cloud as Cloud providers frequently update their architectures to keep with market trends. In these scenarios, automatic parallelization tools will definitely have an important role to play. An important constituent of these tools would be the ability to perform pertinent domain decomposition of the serial code to maximize utilization of the available computational elements. One of the first steps in this direction is to understand the role of the number and type of computational element in a heterogeneous architecture to the overall performance of an application. This paper presents observations made on architectures with different types and number of computational elements using two case studies on five different architectures with different types and number of computational elements. Results show that the perceived speedup and actual speedup are not related.
Control of lipid organization and actin assembly during clathrin-mediated endocytosis by the cytoplasmic tail of the rhomboid protein Rbd2

Clathrin-mediated endocytosis (CME) requires precise regulation of the actin cytoskeleton. The yeast rhomboid protein Rbd2 controls the timing of actin polymerization during CME through its cytoplasmic tail and a PtdIns(4,5)P2-dependent mechanism.
Leptin Acts in the Forebrain to Differentially Influence Baroreflex Control of Lumbar, Renal, and Splanchnic Sympathetic Nerve Activity and Heart Rate

Although leptin is known to increase sympathetic nerve activity (SNA), we tested the hypothesis that leptin also enhances baroreflex control of SNA and heart rate (HR). Using &agr;-chloralose anesthetized male rats, mean arterial pressure (MAP), HR, lumbar SNA (LSNA), splanchnic SNA (SSNA), and renal SNA (RSNA) were recorded before and for 2 hours after lateral cerebroventricular leptin or artificial cerebrospinal fluid administration. Baroreflex function was assessed using a 4-parameter sigmoidal fit of HR and SNA responses to slow ramp (3–5 minutes) changes in MAP, induced by intravenous infusion of nitroprusside and phenylephrine. Leptin (3 &mgr;g) increased (P<0.05) basal LSNA, SSNA, RSNA, HR, and MAP, and the LSNA, SSNA, RSNA, and HR baroreflex maxima. Leptin also increased gain of baroreflex control of LSNA and RSNA, but not of SSNA or HR. The elevations in HR were eliminated by pretreatment with methscopalamine, to block parasympathetic nerve activity; however, after cardiac sympathetic blockade with atenolol, leptin still increased basal HR and MAP and the HR baroreflex maximum and minimum. Leptin (1.5 &mgr;g) also increased LSNA and enhanced LSNA baroreflex gain and maximum, but did not alter MAP, HR, or the HR baroreflex. Lateral cerebroventricular artificial cerebrospinal fluid had no effects. Finally, to test whether leptin acts in the brain stem, leptin (3 &mgr;g) was infused into the 4th ventricle; however, no significant changes were observed. In conclusion, leptin acts in the forebrain to differentially influence baroreflex control of LSNA, RSNA, SSNA, and HR, with the latter action mediated via suppression of parasympathetic nerve activity.
Numerical Solution of Seepage Flow by a Technique of Curvilinear Boundary-Fitted Coordinates

The technique of curvilinear boundary-fitted coordinate system is used for the mathematical model of pressure underground seepage flow and the boundary conditions and the method of solving the transformed equations have been presented. The computing example shows that the computed hydraulic parameters conform to the physical laws. Compared with the finite element method, the presented method need not solve the large matrix equations, and the computer memories and the time for computing are less. The mathematical model is effective for numerical solution of pressure underground seepage flows with complicated boundaries, and can be used in practice hydraulic engineering.
Defective Myb Function Ablates Cyclin E1 Expression and Perturbs Intestinal Carcinogenesis

Cyclin E1 is essential for the reentry of quiescent cells into the cell cycle. When hypomorphic mutant Myb mice (MybPlt4) were examined, it was noted that Cyclin E1 (Ccne1) expression was reduced. Furthermore, the induction of Ccne1 in recovering intestinal epithelia following radiation-induced damage was ablated in Myb-mutant mice. These data prompted us to investigate whether Myb directly regulated Ccne1 and to examine whether elevated Myb in colorectal cancer is responsible for Cyclin E1–driven tumor growth. Here, it was found that Myb/MYB and Ccne1/CCNE1 expressions were coupled in both mouse and human adenomas. In addition, the low molecular weight Cyclin E1 was the predominant form in intestinal crypts and adenomatous polyposis coli (Apc)–mutant adenomas. Chromatin immunoprecipitation (ChIP) analysis confirmed that Myb bound directly to the Ccne1 promoter and regulated its endogenous expression. In contrast, MybPlt4 served as a dominant-negative factor that inhibited wild-type Myb and this was not apparently compensated for by the transcription factor E2F1 in intestinal epithelial cells. MybPlt4/Plt4 mice died prematurely on an ApcMin/+ background associated with hematopoietic defects, including a myelodysplasia; nevertheless, ApcMin/+ mice were protected from intestinal tumorigenesis when crossed to MybPlt4/+ mice. Knockdown of CCNE1 transcript in murine colorectal cancer cells stabilized chromosome ploidy and decreased tumor formation. These data suggest that Cyclin E1 expression is Myb dependent in normal and transformed intestinal epithelial cells, consistent with a cell-cycle progression and chromosome instability role in cancer. Implications: This study demonstrates that Myb regulates Cyclin E1 expression in normal gastrointestinal tract epithelial cells and is required during intestinal tumorigenesis. Mol Cancer Res; 13(8); 1185–96. ©2015 AACR.
Large Improvement in Image Rejection of Double-Quadrature Dual-Conversion Low-IF Architectures

The reasons for a degradation of image-rejection performance in double-quadrature-double-quadrature and single-quadrature-double-quadrature dual-conversion low-IF downconverters are fully discussed in this paper. Polyphase filters (PPFs) are inserted at proper positions to minimize the effects of device/signal mismatches, and thus improve the image rejection without calibration. Both a 0.35-μm SiGe heterojunction bipolar transistor 5.2-GHz double-quadrature-double-quadrature downconverter with an RF PPF and a 0.18-μm CMOS 2.2/4.8-GHz single-quadrature-double-quadrature downconverter with a switched-band low-noise amplifier (LNA) and a narrowband inter-stage PPF are demonstrated. Compared with our previous work, the 5.2-GHz downconverter achieves a 15-dB improvement in image-rejection ratio (IRR) of the first image signal (IRR1) even without a pre-selection filter or LNA. Additionally, the dual-band downconverter has a 25-dB improvement in IRR of the second image signal (IRR2) , which nearly reaches the theoretical limit of a four-stage PPF covering 20-40 MHz.
Managing Abr Capacity in Reservation-based Slotted Networks

For slotted networks carrying full multi-media traac to work successfully, it is essential that connection setup and management is done well under all traac conditions. Major challenges remain with the current state of the technology, however, particularly on how one copes with traac bursts. Existing reservation-based networks do not allow the user to dynamically adjust his bandwidth requirements on demand. In this paper we propose a new scheme, called the reservoir scheme, which allows dynamic and distributed resource allocation. The basic idea behind the scheme is to reserve bandwidth with a guaranteed bit rate for each virtual circuit. The user is allowed to decentrally allocate additional bandwidth from an Available Bit Rate (ABR) reservoir to satisfy dynamic changes of Variable Bit Rate (VBR) traac. The duration and bandwidth of this dynamic access are negotiated in the call setup phase and do not require any renegotiation with the service provider so that this solution overcomes the rigidity of current static bandwidth reservation schemes. The additional management requirements are low compared to other dynamic bandwidth reservation schemes. We also describe an analytic model and simulation which we used to determine whether it would be practical to apply the proposed scheme in a slotted network.
A propagation model of passive social network worm

Social network worm incidents of the past years have shown us how vulnerable our networks are and how fast a worm can spread. Compared with traditional network worm, social network worm is more based on Social Engineering technology, which makes the worm more underground and hardly controllable. To be able to defend against social network worms, we need to understand their propagation model. In this paper, we analyze the behavior of social network worm and compare between the existing worm propagation models, introducing Self-Organizing Map algorithm, we formally define and describe analytically a new model, which complies with this scenario.
Robust state reconstruction of linear neutral-type delay systems with application to lossless transmission lines: a convex optimization approach

This paper is concerned with the problem of robust observer design for linear systems with neutral-type time-delays. Delay-independent and delay-dependent conditions are presented to solve the observation/filtering issue under noisy output measurements. Stated as linear matrix inequalities conditions, these sufficient conditions enable the determination of the observer gains that guarantee both asymptotic convergence of the observer in case of noiseless measurements and robust filtering in case of presence of measurements errors. The proposed linear matrix inequality conditions are derived without any major approximation or assumption on the neutral type time-delay system which make the observer design straightforward and less conservative.
Full-Range Leadership as a Predictor of Extra Effort in Online Higher Education: The Mediating Effect of Job Satisfaction

Online higher education has rapidly expanded in the United States and displays a great opportunity for growth. Coupled with the growth of e-learning is the need for adjunct faculty to satisfy the need for additional online classes. Despite the importance of online adjunct faculty, little research has been performed to determine their work experiences. This quantitative, correlational study investigated the predictive relationship between the perceived use of transformational, transactional, and laissez-faire leadership behaviors on the extra effort of adjunct faculty who facilitate online classes at a for-profit university in the United States. In a further investigation, the researcher investigated the variable of job satisfaction to determine if it mediated the relationship between leadership style and extra effort. The researcher used the Multifactor Leadership Questionnaire and Spector’s Job Satisfaction survey to collect data used in inferential analysis. The researcher performed a stepwise multiple regression and a Baron and Kenny mediation analysis to answer the research questions. The results showed perceived transformational leadership behaviors displayed a statistically significant positive predictive relationship with extra effort, and job satisfaction was a partial mediator between the relationship of transformational leadership and extra effort. The results suggest transformational leadership is beneficial to the extra effort put forth by the sample of adjunct faculty who teach online classes.
A preliminary study on the semantic representation of the notes to Dante Alighieri's Convivio

We present a study on the semantic representation of the knowledge embedded in the notes to Convivio, a philosophical essay composed by Dante Alighieri. The notes were produced by an Italian scholar in structured text format. First, we analyzed the content of the document annotated by the scholar and on this basis we created an underlying high-level UML model that plays the role of an initial conceptualization. In the second step, we tried to identify terms belonging to vocabularies used in the Digital Libraries domain, which could be used for specifying the UML conceptualization. To this end, we investigated several existing ontologies, and we chose the terms that we considered useful to represent our knowledge. In order to describe all the knowledge embedded in the notes, we added classes and properties. Finally, we built a RDF graph that represents the semantics of the notes.
Different forms of the games in multiagent reinforcement learning: alternating vs. simultanous movements

Multiagent systems are one of the most promising solutions in most of real life applications in which some kinds of social interactions or conventions are involved. Agent oriented applications are broadly explored among which learning in unknown environment is well developed based on Markov Decision Process (MDP). On the other hand, learning in multiagent systems has been recently introduced, basically in conjunction with game theory which is the science of investigating multiple interactive agents. During learning, self-interested agents are attempting to find the equilibrium policy based on the structure of the game, mostly considered as normal form games. In this paper, we focus on bringing into discussion game structures, addressed as normal form games and extensive form games, in learning process. This includes also some modifications and refinements in initially introduced concepts as well as a proposed approach in extensive form games.
Modeling and Analysis of Cooperative Relaying in Spectrum-Sharing Cellular Systems

In this paper, spectrum-sharing technology is integrated into cellular systems to improve spectrum efficiency. Macrocell users are primary users (PUs), whereas those within local cells, e.g., femtocell users, or desiring cost-effective services, e.g., roamers, are identified as secondary users (SUs). The SUs share the spectrum resources of the PUs in an underlay way; thus, the transmit power of a secondary is strictly limited by the primary's tolerable interference power. Given such constraints, a cooperative relaying transmission between an SU and the macrocell base station (BS) is necessary. To guarantee the success of dual-hop relaying and avoid multihop relaying, a new cooperative paradigm is proposed, where an idle PU (instead of a secondary, as assumed in general) in the vicinity of a target SU is chosen to serve as a relaying node, due to the fact that any PU can always transmit to the macrocell BS directly. Moreover, a two-way relaying strategy is applied at the chosen relaying node to further improve spectral efficiency. Our results demonstrate that the proposed system is particularly suitable for delay-tolerant wireless services with asymmetric downlink/uplink traffic, such as e-mail checking, web browsing, social networking, and data streaming, which are the most popular applications for SUs in spectrum-sharing cellular networks.
GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs

Unraveling "interesting" subgraphs corresponding to disease/crime hotspots or characterizing habitation shift patterns is an important graph mining task. With the availability and growth of large-scale real-world graphs, mining for such subgraphs has become the need of the hour for graph miners as well as non-technical end-users. In this demo, we present GARUDA, a system capable of mining large-scale graphs for statistically significant subgraphs in a scalable manner, and provide: (1) a detailed description of the various features and user-friendly GUI of GARUDA; (2) a brief description of the system architecture; and (3) a demonstration scenario for the audience. The demonstration showcases one real graph mining task as well as its ability to scale to large real graphs, portraying speed-ups of upto 8--10 times over the state-of-the-art MSCS algorithm.
Qualitative and Quantitative Assessment of Step Size Adaptation Rules

We present a comparison of step size adaptation methods for evolution strategies, covering recent developments in the field. Following recent work by Hansen et al. we formulate a concise list of performance criteria: a) fast convergence of the mean, b) near-optimal fixed point of the normalized step size dynamics, and c) invariance to adding constant dimensions of the objective function. Our results show that algorithms violating these principles tend to underestimate the step size or are unreliable when the function does not fit to the algorithm's tuned hyperparameters. In contrast, we find that cumulative step size adaptation (CSA) and two-point adaptation (TPA) provide reliable estimates of the optimal step size. We further find that removing the evolution path of CSA still leads to a reliable algorithm without the computational requirements of CSA.
Privacy-Preserving Protocol for Epidemiology in Effect of Radiation

This paper studies privacy issues in epidemiology that aims to clarify statistical significant of interested attribute that is distributed into two independent parties. The first proposed protocol computes the size of intersection of two subsets, e.g., set of workers in risk of radiation effect and set of dead people in a period of time, without revealing any of element of set. The second proposed protocol allows to perform a hypothesis test without revealing the size of intersections of two subsets. The performance of the proposed scheme are evaluated based on trial implementation.
Pattern recognition in compressed DCT domain

Images and video are currently predominantly handled in compressed form. Block-based compression standards are by far the most widespread. It is thus important to devise information processing methods operating directly in compressed domain. In this paper we investigate this possibility on the example of simple face information processing method based on the DCT (discrete cosine transform) blocks. We use patterns of quantized 4x4 DCT blocks for representing local picture information. These patterns at different quantization levels provide very flexible representation of picture information. We represent global information in pictures by histograms of quantized DCT pattern distributions. The approach is tested on database of face images and it is shown that despite its simplicity provides good results in the face recognition problem.
Exploring sub-word features and linear support vector machines for German spoken document classification

Using sub-word features for spoken document classification raises two potential drawbacks. First, if the speech recognizer recognizes sub-word units directly, the risk arises that word-level discriminative features are irretrievably lost. This effect is aggravated by depressed recognition accuracy, such as that associated with speaker-and domain-independent systems. Second, if input documents are expanded by combining sub-word units into higher-level features, in compensation for lacking word-level discriminators, the size of the classifier input space expands rapidly, inviting the danger of over-fitting. This paper reports results of experiments with a simple, but real-world, binary topic classification task on a corpus of un-edited German-language radio documents. We compare a Naive Bayes classifier to a Linear Support Vector Machine (LSVM) and determine that benefits of sub-word features indeed outweigh potential drawbacks. The LSVM in particular profits from sub-word features supplemented by higher-order combinations, reflecting its ability to control input space complexity independently of dimension.
Proton-Coupled Erythromycin Antiport at Rat Blood-Placenta Barrier

The aim of the present study was to characterize the mechanism of erythromycin transport at the blood-placenta barrier, using TR-TBT 18d-1 cells as a model of rat syncytiotrophoblasts. [14C]Erythromycin was taken up by TR-TBT 18d-1 cells with a Michaelis constant of 466 μM. Although the uptake was not dependent on extracellular Na+ or Cl−, it was increased at weakly alkaline pH. Significant overshoot of [14C]erythromycin uptake by placental brush-border membrane vesicles was observed in the presence of an outwardly directed proton gradient. These results indicate that erythromycin is transferred by the H+-coupled transport system in syncytiotrophoblasts. To address the physiological transport of erythromycin in rat placenta, fetal-to-maternal transport clearance was estimated by means of the single placental perfusion technique. Clearance of [14C]erythromycin was higher than that of [14C]inulin, a paracellular pathway marker, and was decreased by the addition of 5 mM erythromycin, indicating that saturable efflux system from fetus to mother is involved. The effect of various transporter inhibitors on [14C]erythromycin efflux from TR-TBT 18d-1 cells was evaluated. cyclosporin A, fumitremorgin C, and probenecid had no effect, whereas ethylisopropylamiloride, a specific inhibitor of Na+/H+ exchangers (NHEs), was significantly inhibitory. These results suggest that erythromycin efflux transport at the rat blood-placenta barrier is mediated by an erythromycin/H+ antiport system, driven by H+ supplied by NHEs.
A New Definition of the Steenrod Operations in Algebraic Geometry

The Steenrod operations (mod p) in Chow theory are defined for any prime p for a quasi-projective scheme, without appealing to the results of any domain but Milnor's K-theory. The new definition also gives a direct formula that depends only on the scheme itself. Additionally, basic properties of the operations are proved from the new definition. The idea is based on a construction of M. Rost.
The Tao of Systems : Doing Nothing Well

We propose a new design principle for the systems community. “Do nothing well” in addition to “make the common case fast”. This means designing for power savings as well as performance gains. The key to saving power is harnessing idleness; understanding and managing idleness as a first-class characteristic of workloads. In this paper we study the idleness in a diverse range of workloads. We show how well-known techniques for improving performance can be recast as tools for managing idleness, and thereby saving power.
Progressive surface modeling based on 3D motion sketch

This paper presents a novel progressive surface modelling method to construct a freeform surface incrementally based on 3D motion sketches that represent the boundary and interior characteristic curves. The approach can construct a base surface model from multiple boundary curves and support incremental surface updating from interior characteristic curves which may cross the boundary curves or not. The base surface is first constructed as a regular Coons surface. Upon receiving an interior curve sketch, it is then updated. With this progressive modelling process, a final surface with multiple sub-surfaces can be obtained from a set of unorganised curves and exchanged to a commercial surface modelling software for modification in detail. The approach has been tested with examples. It is capable of dealing with unorganised design curves for surface modelling and easy to use in conceptual design.