Miracle-dz/UniFAR-FTUs huggingface dataset:
International Conference on Parallel Processing OPTIMIZING PARALLEL PROGRAMS USING AFFINITY REGIONS Bill

Afinity regions ensure that a shared processor scheduling, mapping ademtiom to wceaors, is used in coweeut ioe palullel loop nests. h i m g ofinity regions can significantly improve locality of reference and hence the performance. This paper d i s c w s e ~ the we and e$ectiwenesa of afinity regions. We infwduce a general algorithm, based upon dependence analysis, to d e t e m i n e the feasibility and pmfitobilitgc of @Ridy re iom. The algorithm i a being implemented im PAT^^, 61, aa interacthe pomlIelixation tool.
Reducing energy consumption by dynamic resource allocation in C-RAN

Cloud Radio Access Network (C-RAN) architecture has been proposed as a promising solution to overcome the challenges of Next Generation (5G) cellular networks, in terms of efficiency, capacity, scalability, flexibility and sustainability in a cost-effective and power efficient way. However C-RAN demands a new energy consumption model and its resources optimised. This Paper presented the C-RAN to reduce the network cost further by dynamically allocating centralised Base Band Unit (BBU) resources to Remote Radio Heads (RRHs) depending on the traffic conditions. New energy consumption model for C-RAN has been proposed for capturing the energy consumption of centralised BBU resources which reflect the dynamic allocation of RRHs. An algorithm that optimises the BBU resource allocation has been proposed. BBUs are put to sleep and active states by switching them `OFF' and `ON' respectively according to their resource usage. Numerical results based on simulation settings validated the theoretical analyses and revealed more than 70% power reduction compared to conventional RAN under the EARTH power model.
Elevated Expression of Immunoreceptor Tyrosine-Based Inhibitory Motif (TIGIT) on T Lymphocytes is Correlated with Disease Activity in Rheumatoid Arthritis

Background It is well known that lymphocytes play an important role in rheumatoid arthritis (RA). T cell immunoreceptors with immunoglobulin (Ig) and immunoreceptor tyrosine-based inhibitory motif (TIGIT) have immunosuppressive co-stimulatory molecules that mediate inhibitory effects, but their roles in RA are poorly understood. Material/Methods Were recruited 76 patients with RA and 33 healthy controls (HC). Clinical manifestations, laboratory measurements, physical examination, and medical history of RA patients were recorded. The expression of TIGIT on CD3+ T lymphocytes, B lymphocytes, monocytes, neutrophils, CD3+CD4+ T lymphocytes, and CD3+CD8+ T lymphocytes was determined using flow cytometry. The expression of TIGIT on T lymphocytes in patients with RA was further analyzed to investigate its correlations with markers of autoimmune response, inflammation, and disease activity in RA. Results Compared with HC, the expression levels of TIGIT on CD3+CD4+ T lymphocytes and CD3+CD8+ T lymphocytes were significantly increased in patients with RA (P < 0.01). The frequency of TIGIT-expressing CD3+CD4+ T lymphocytes was positively correlated with RF, increased ACPA, ESR, and CRP levels. The frequency of TIGIT-expressing CD3+CD8+ T lymphocytes was positively correlated with RF and ESR levels. Furthermore, the expression level of TIGIT on CD3+CD4+ T lymphocytes was positively correlated with the DAS28 score in RA. Conclusions The expression levels of TIGIT on T lymphocytes were elevated and correlated with disease activity in RA.
Detection model based on multi-sensor data for early fire prevention

In this work, we adopt a model of making-decision applied in wireless sensor networks for environmental protection. This model applies firstly the Equal Gain Combiner rule for fusing data measured from sensors, chained to a classification by the K-nearest neighbors algorithm to provide an instant decision, this latter is evaluated later on a comparison to the Chair-Varshney rule. The results show that our approach is also reliable and stable in prediction and decision. Also, the advanced performance of our model in terms of processing speed relative to the Chair-Varshney rule.
Real-Time Single Scattering with Shadows

AbstractThe representation of participating media adds a very realistic effect in computer generated images. Unfortunately,they are especially difﬁcult to render. Indeed, their contr ibution in the illumination of a scene is quite complex,depending on both light position and camera position. We present here a new algorithm that is able to render, inreal-time, the single scattering induced by any participating medium. Based on a new expression of the radiativetransfer equation, our algorithm uses shadow planes to compute efﬁciently the participating medium contributionalong rays linking the eye and the scene. It is also able to manage efﬁciently not only the surface shadows, butalso the volumetric shadows casted in such medium, and this, without aliasing. This method, quite simple, can beused to compute quickly animations that represent scenes covered by a homogeneous participating medium.Categories and Subject Descriptors (according to ACM CCS) : I.3. 3 [Computer Graphics]: Display algorithms1. IntroductionMany simulations
Control of Five-qubit System Based on Quantum Reinforcement Learning

Controlling the multi-qubit system is a key task for practical quantum information processing. In this paper, the control problem of five-qubit is studied. A novel quantum reinforcement learning algorithm based on quantum superposition principle is proposed for the quantum control problem. The simulated result shows that quantum reinforcement learning can effectively find the optimal control sequence through fast learning
Analysis of the slip-related falls and fall prevention with an intelligent shoe system

We studied a relationship between a zero moment point (ZMP) and a base of support (BOS) during slipping. ZMP is the point on the ground where no moment may be transmitted about the whole body center of mass (COM). When subjects could walk without slipping, ZMP was located within the BOS at a single support phase. When a fall after a forward slip was observed, the ZMP remained outside of the BOS edge. The maximum distance between the ZMP and the BOS edge (Lmax) was longer in the fall group than in the recovery group (p < 0.001). The maximum velocity of the slipping foot segment relative to the torso segment (vr max) had a positive correlation with Lmax. An intelligent shoe system, which can extend the shoe sole area (BOS) laterally, improved both static standing balance and dynamic standing balance. Thus, appropriate coefficient of sliding friction on the shoe sole and intelligent control of the shoe sole area would be of value in reducing the risk of falling, particularly for the people with movement disorders.
Application of a New Anchorage towards the Flexural Strengthening of RC Rectangular Beams with External Steel Tendons

To strengthen concrete beams, a new anchorage was proposed, and its performance was evaluated in this study. Seven concrete beams were manufactured and flexurally loaded with displacement control up to the failure point. As important test variables, the anchorage type (new/conventional) and the prestress levels in the steel rebar (0, 50, and 100 kN) were selected. To investigate the strengthening effects based on these test variables, the deflection, strain, and failure mode were recorded, and then the load, ductility index, and energy ratio were analyzed. Test results showed that the newly proposed end anchorage had better strengthening effects and a greater inelastic energy than the conventional end anchorages.
The Impact of Party Cues on Manual Coding of Political Texts*

Do coders of political texts incorporate prior beliefs about parties’ issue stances into their coding decisions? We report results from a coding experiment in which ten coders were each given 200 statements on immigration that were extracted from election manifestos. Party labels in these statements were randomly assigned (including a control category without party cues). Coders were more likely to code a statement as pro-immigration if it was attributed to the Greens and less likely choose the anti-immigration category if it was attributed to the populist radical right. No effect was found for mainstream parties of the center-left and center-right. The results also suggest that coders resort to party cues as heuristics when faced with ambiguous policy statements.
Towards verifiable resource accounting for outsourced computation

Outsourced computation services should ideally only charge customers for the resources used by their applications. Unfortunately, no verifiable basis for service providers and customers to reconcile resource accounting exists today. This leads to undesirable outcomes for both providers and consumers-providers cannot prove to customers that they really devoted the resources charged, and customers cannot verify that their invoice maps to their actual usage. As a result, many practical and theoretical attacks exist, aimed at charging customers for resources that their applications did not consume. Moreover, providers cannot charge consumers precisely, which causes them to bear the cost of unaccounted resources or pass these costs inefficiently to their customers. We introduce ALIBI, a first step toward a vision for verifiable resource accounting. ALIBI places a minimal, trusted reference monitor underneath the service provider's software platform. This monitor observes resource allocation to customers' guest virtual machines and reports those observations to customers, for verifiable reconciliation. In this paper, we show that ALIBI efficiently and verifiably tracks guests' memory use and CPU-cycle consumption.
Closed strings in Misner space

Misner space, also known as the Lorentzian orbifold R1,1/boost, is one of the simplest examples of a cosmological singularity in string theory. In this work, the study of weakly coupled closed strings on this space is pursued in several directions: (i) physical states in the twisted sectors are found to come in two kinds: short strings, which wind along the compact space-like direction in the cosmological (Milne) region, and long strings, which wind along the compact time direction in the (Rindler) whiskers. The latter can be viewed as infinitely long static open strings, stretching from Rindler infinity to a finite radius and folding back onto themselves. (ii) As in the Schwinger effect, tunneling between these states corresponds to local pair production of winding strings. The tunneling rate approaches unity as the winding number w gets large, as a consequence of the singular geometry. (iii) The one-loop string amplitude has singularities on the moduli space, associated to periodic closed string trajectories in Euclidean time. In the untwisted sector, they can be traced to the combined existence of CTCs and Regge trajectories in the spectrum. In the twisted sectors, they indicate pair production of winding strings. (iv) At a classical level and in sufficiently low dimension, the condensation of winding strings can indeed lead to a bounce, although the required initial conditions are not compatible with Misner geometry at early times. (v) The semi-classical analysis of winding string pair creation can be generalized to more general (off-shell) geometries. We show that a regular geometry regularizes the divergence at large winding number. ∗Incumbent of the Recanati career development chair for energy research
A scalable architecture for clustered network attached storage

Network attached storage systems must provide highly available access to data while maintaining high performance, easy management, and maximum scalability. In this paper, we describe a clustered storage system that was designed with these goals in mind. The system provides a unified file system image across multiple nodes, which allows for simplified management of the system. Availability is preserved with multiple nodes and parity-striped data across these nodes. This architecture provides two key contributions: the ability to use low-cost components to deliver scalable performance and the flexibility to specify redundancy and performance policy management on a file-by-file basis. The file system is also tightly integrated with standard distributed file system protocols thereby allowing it to be used in existing networks without modifying clients.
An E cient Hierarchical Algorithm for Module Placement for Large Chips

In this paper, we mainly present a fast, stable and ef-cient module placement algorithm which is based on PROUD algorithm and its improved modiied version. The PROUD algorithm uses a hierarchical decomposition technique and the solution of sparse linear systems based on a resistive network analogy. It has been shown that the PROUD algorithm can achieve a comparable design of the placement problems for very large circuits with the best placement algorithm based on simulated annealing, but with several order of magnitude faster. The modiied PROUD, namely MPROUD algorithm by perturbing the coeecient matrices performs much faster that the original PROUD algorithm. Due to the instability and unguaranteed convergence of MPROUD algorithm, we propose a new convergent and numerically stable PROUD, namely Improved PROUD algorithm , denoted as IPROUD with attractive computational costs to solve the module placement problems by making use of the MINRES method based on Lanczos process. Experimental results are reported showing its advantages for a variety of large layout benchmark circuits .
Nomogram for preoperative estimation of long-term survival of patients who underwent curative resection with hepatocellular carcinoma beyond Barcelona clinic liver cancer stage A1

Background and Aims This retrospective cohort study developed a prognostic nomogram to predict the survival of hepatocellular carcinoma (HCC) patients diagnosed as beyond Barcelona clinic liver cancer stage A1 after resection and evaluated the possibility of using the nomogram as a treatment algorithm reference. Results The predictors included in the nomogram were total tumour volume, Child-Turcotte-Pugh class, plasma fibrinogen and portal vein tumour thrombus. Patients diagnosed as beyond A1 were stratified into low-, medium- and high-risk groups using nomogram scores of 0 and 51 with the total points of 225. Patients within A1 exhibited similar recurrence-free survival (RFS) and overall survival (OS) rates compared with the low-risk group. Patients in the medium-risk group exhibited a similar OS but a worse RFS rates compared with patients within A1. The high-risk group was associated with worse RFS and OS rates compared with the patients within A1 (3-year RFS rates, 27.0% vs. 60.3%, P < 0.001; 3-year OS rates, 49.2% vs. 83.1%, P < 0.001). Methods A total of 352 HCC patients undergoing curative resection from September 2003 to December 2012 were included to develop a nomogram to predict overall survival after resection. Univariate and multivariate survival analysis were used to identify prognostic factors. A visually orientated nomogram was constructed using a Cox proportional hazards model. Conclusions This user-friendly nomogram offers an individualized preoperative recurrence risk estimation and stratification for HCC patients beyond A1 undergoing resection. Resection should be considered the first-line treatment for low-risk patients.
PERMODELAN ‘UTAUT’ PADA UMKM HANDYCRAFT BINAAN BANK JATENG

Dengan adanya permasalahan pemanfaatan sistem informasi akuntansi dalam UMKM handicraft binaan Bank Jateng, penelitian ini dimaksudkan untuk menguji pemanfaatan teknologi/sistem informasi dengan model UTAUT (Unified Theory of Acceptance and Use of Technology) (Venkatesh, Morris, Davis, & Davis, 2003) dalam ruang lingkup UMKM handicraft binaan Bank Jateng. Beberapa penelitian terdahulu pernah dilakukan dengan menggunakan model UTAUT (Handayani, 2007; Ellyana, Redy, & Hamzah, 2009; Jati & Laksito, 2012), akan tetapi sifatnya parsial dan belum menyentuh UMKM yang sebetulnya justru harus banyak dibantu. Penelitian dilaksanakan di UMKM Handicraft Binaan Bank Jateng di kota Semarang, dengan responden yaitu pemilik, manajer dan karyawan bagian akuntansi atau teknologi/sistem informasi (jika ada) dari UMKM tersebut. Adapun metode pengumpulan data/penyebaran kuesioner menggunakan convenience sampling. Sedangkan analisis data dalam penelitian ini menggunakan regresi linier berganda dan regresi dimoderasi, disesuaikan dengan hipotesis masing-masing, setelah sebelumnya dilakukan pengujian terhadap kualitas data dan asumsi klasik. Hasil penelitian tentang Pengaruh ekspektasi kinerja terhadap minat pemanfataan teknologi/sistem informasi dimoderasi oleh usia, sedemikian rupa sehingga pengaruh yang masih muda lebih kuat; Pengaruh ekspektasi usaha terhadap minat pemanfataan teknologi/sistem informasi dimoderasi oleh usia dan pengalaman, sedemikian rupa sehingga pengaruh yang masih muda lebih kuat dan lebih khusus lagi masih pada tahap awal pengalamannya; Pengaruh faktor sosial terhadap minat pemanfataan teknologi/sistem informasi dimoderasi oleh usia dan pengalaman, sedemikian rupa sehingga pengaruh yang lebih tua akan lebih kuat, khususnya yang masih pada tahap awal pengalamannya; Pengaruh kondisi yang memfasilitasi terhadap pemanfaatan teknologi/sistem informasi dimoderasi oleh usia dan pengamalan, sedemikian rupa sehingga pengaruh pekerja yang lebih tua lebih kuat, lebih khusus lagi dengan pengalaman lebih banyak; Kemanjuran diri dalam hal komputer tidak akan memiliki pengaruh yang signifikan terhadap minat pemanfaatan teknologi/sistem informasi; Kecemasan dalam hal komputer tidak akan memiliki pengaruh signifikan terhadap minat pemanfaatan teknologi/sistem informasi tidak menunjukkan cukup bukti untuk diterima. Sedangkan, Kondisi yang memfasilitasi tidak akan memiliki pengaruh yang signifikan terhadap minat pemanfataan teknologi/sistem informasi; Sikap terhadap teknologi tidak akan memiliki pengaruh yang signifikan terhadap minat pemanfaatan teknologi/sistem informasi dan Minat pemanfaatan teknologi/sistem informasi berpengaruh positif signifikan terhadap pemanfaatan teknologi/sistem informasi menunjukkan cukup bukti yang cukup.
Interactive comment on “Investigation of the correlation between odd oxygen and secondary organic aerosol in Mexico City and Houston” by E. C. Wood et al

This reviewer would like some clarification about the inclusion or otherwise of larger (C>12) hydrocarbons. It would be good to state more clearly which VOCs are included in the analysis (say at the start of Section 4.2, or included as a Table), given that there is some inconsistency about the range of carbon numbers measured and considered from the Texas data and that Table SI-1 does not list all VOCs used. On Page 3567 (very top) it is stated that PAHs are assumed to be ’high-yield’, and long-chain oxygenated organics are also mentioned. But these species are not measured. Are they
Do Workplace Spirituality dimensions play any Role in enhancing Nurses Job Satisfaction in Pakistan

This paper has quantitatively examined the role of workplace spirituality in stimulating job satisfaction of nurses working in Pakistan. Based on the recent literature on employees’ deviance and their involvement in unethical activities, this paper has focused on understanding this aspect through five dimensions of workplace spirituality including team’s bonding, alignment between value, sense of delight, opportunities for inner life and sense of contribution towards society. Data was collected from nurses working in different hospitals of Pakistan through questionnaires. Based on regression analysis, results highlighted the strong role of workplace spirituality in enhancing job satisfaction of nurses. Implications and future directions of article have been addressed in paper.
Optical observations of GRB 060124 afterglow: a case for an injection break

Aims. We present broad band optical afterglow observations of a long duration GRB 060124 using the 1.04-m Sampurnanand Telescope at ARIES, Nainital and the 2.01-m HCT at IAO, Hanle, including the earliest ground-based observations in R band for this GRB. We determine the decay slope of the light curve at different bands and examine the reality of a proposed jet break. Methods. We use data from our observations as well as others reported in the literature to construct light curves in different bands and make power law fits to them. The spectral slope of the afterglow emission in the optical band is estimated. Results. Our first R -band observations were taken ~0.038 d after burst. We find that all available optical data after this epoch are well fit by a single power law, with a temporal flux decay index $\alpha\sim 0.94$. We do not find any evidence of a jet break within our data, which extend till ~2 d after the burst. The X-ray light curve, however, shows a distinct break around 0.6 day. We attribute this break to a steepening of the electron energy spectrum at high energies. Conclusions. We conclude that the above measurements are consistent with the picture of a standard fireball evolution with no jet break within $t\sim 2$ days after the burst. This sets a lower limit of $3\times 10^{50}$ erg to the total energy released in the explosion.
HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi

This paper presents the design and implementation of several fundamental dense linear algebra (DLA) algorithms for multicore with Intel Xeon Phi coprocessors. In particular, we consider algorithms for solving linear systems. Further, we give an overview of the MAGMA MIC library, an open source, high performance library, that incorporates the developments presented here and, more broadly, provides the DLA functionality equivalent to that of the popular LAPACK library while targeting heterogeneous architectures that feature a mix of multicore CPUs and coprocessors.The LAPACK-compliance simplifies the use of the MAGMA MIC library in applications, while providing them with portably performant DLA. High performance is obtained through the use of the high-performance BLAS, hardware-specific tuning, and a hybridization methodology whereby we split the algorithm into computational tasks of various granularities. Execution of those tasks is properly scheduled over the heterogeneous hardware by minimizing data movements and mapping algorithmic requirements to the architectural strengths of the various heterogeneous hardware components. Our methodology and programming techniques are incorporated into the MAGMA MIC API, which abstracts the application developer fromthe specifics of the Xeon Phi architecture and is therefore applicable to algorithms beyond the scope of DLA.
Emulation Architecture Implementation and Design

The design and implementation of an emulation architecture for ad hoc networks is described in details and tested. The tool is able to emulate many unicast routing protocols with a real exchange of signaling and data packets between the hosts present in the network. With respect to a wireless test bed, the emulator works on hosts connected each other via wired links and the wireless channel is simulated. The emulator works in the user space, and allows an easy interface with the Simple ad hoc simulator (SAM), where many routing protocols are present
Study on Deep Learning and Its Application in Visual Tracking

Inspired by recent advances in deep learning, this paper reviews the deep learning methodologies and its applications in object tracking. To overcome the complexity and low-efficiency of existing full-connected deep learning based tracker, we use a novel convolutional deep belief network (CDBN) with convolution, weights sharing and pooling to have much fewer parameters, in addition to gain translation invariance which would benefit the tracker performance. Empirical evaluation demonstrates our CDBN based tracker outperforms several state-of-the-art methods on an open tracker benchmark.