Miracle-dz/UniFAR-FTUs huggingface dataset:
Demand-Aware Power Management for Power-Constrained HPC Systems

As limited power budget is becoming one of the most crucialchallenges in developing supercomputer systems, hardware overprovisioning which installs larger number of nodes beyond the limitations of the power constraint determinedby Thermal Design Power is an attractive way to design extreme-scale supercomputers. In this design, power consumption of each node should be controlled by power-knobs equipped in the hardware such as dynamic voltage and frequency scaling (DVFS) or power capping mechanisms. Traditionally, in supercomputer systems, schedulers determine when and where to allocate jobs. In overprovisioned systems, the schedulers also need to care about power allocation to each job. An easy way is to set a fixed power cap for each job so that the total power consumption is within the power constraint of the system. This fixed power capping does not necessarily provide good performance since the effective power usage of jobs changes throughout their execution. Moreover, because each job has its own performance requirement, fixed power cap may not work well for all the jobs. In this paper, we propose a demand-aware power management framework for overprovisioned and power-constrained high-performance computing (HPC) systems. The job scheduler selects a job to run based on available hardware and power resources. The power manager continuously monitors power usage, predicts performance of executing jobs and optimizes power cap of each CPU so that the required performance level of each job is satisfied while improving system throughput by making good use of available powerbudget. Experiments on a real HPC system and with simulation for a large scale system show that the power manager can successfully control power consumption of executing jobs while achieving 1.17x improvement in system throughput.
Enhancement of human basophil histamine release by interleukin 5

Substantial evidence indicates a close relationship between eosinophils and basophils. We examined whether interleukin 5 (IL-5), known to be eosinophilopoietic and capable of selectively regulating eosinophil functions, has an affect on basophil functions. IL-5 enhanced basophil histamine release evoked by anti-IgE, formyl-methionyl-leucyl- phenylalanine, or ionophore A23187 at picomolar concentrations. Direct action of IL-5 on human basophils was confirmed using highly purified basophil populations. These observations reveal the novel fact that IL- 5 is able to modulate basophil functions as well as eosinophil functions, and suggest that normal human basophils possess functional receptors for IL-5.
Diagnosing Mild Cognitive Impairment (MCI) in clinical trials: a systematic review

Objective To describe how criteria for amnestic Mild Cognitive Impairment (aMCI) have been operationalised in randomised controlled clinical trials (RCTs). Design Systematic review. Information sources EMBASE, PubMed and PSYCHInfo were searched from their inception to February 2012. Electronic clinical trial registries were also searched (February 2012). Study selection RCTs were included where participant selection was made using Petersen et al-defined aMCI. There was no restriction on intervention type or the outcome tested. Data extraction For each trial, we extracted information on study design, demographics, exclusion criteria and the operationalisation strategy for the five aMCI diagnostic criteria including: (1) memory complaint, (2) normal general cognitive function, (3) memory impairment, (4) no functional impairment and (5) no dementia. Results 223 articles and 278 registered trials were reviewed, of which 22 met inclusion criteria. Various methods were applied for operationalising aMCI criteria resulting in variability in participant selection. Memory complaint and assessment of general cognitive function were the most consistently measured criteria. There was large heterogeneity in the neuropsychological methods used to determine memory impairment. It was not possible to assess the impact of these differences on case selection accuracy for dementia prediction. Further limitations include selective and unclear reporting of how each of the criteria was measured. Conclusions The results highlight the urgent need for a standardised approach to map aMCI. Lack of uniformity in clinical diagnosis, however, is not exclusively a problem for MCI but also for other clinical states such as dementia including Alzheimer's disease, Lewy Body, frontotemporal or vascular dementia. Defining a uniform approach to MCI classification, or indeed for any classification concept within the field of dementia, should be a priority if further trials are to be undertaken in the older aged population based on these concepts.
Privacy paradox : factors influencing disclosure of personal information among German and Dutch SNS users

This study aims to investigate the privacy paradox, examine the factors that influence this paradox and determine the factors that influence the willingness to disclose personal information on Facebook. The privacy paradox describes the unexpected behavior by people who are concerned about their privacy, but nevertheless disclose personal information. Therefore, the factors privacy valuation, peer pressure, perceived benefits and perceived risks are analyzed in relation with the willingness to disclose personal information. Data was collected via an online survey that was completed by 1.320 German and Dutch Facebook users above 18 years. The research model was adapted based on the results of three Principal Component Analyses and tested separately for German and Dutch respondents. The adapted research model was analyzed with regression and mediation analyses to be able to answer the hypotheses, explain the privacy paradox and examine the factors influencing the willingness to disclose personal information on Facebook. The results of this study confirm that privacy valuation, perceived risks, perceived benefits and peer pressure significantly influence the willingness to disclose personal information. The findings of this study, especially the mediating influence of perceived benefits and perceived risks, the five types of willingness to disclose personal information as well as the influence of peer pressure offering a broader view on the privacy paradox and disclosure on Social Network Sites. This study provides new insights in an actual and upcoming topic and additionally outlines possible further research subjects.
ROBUST SOUND SOURCE IDENTIFICATION FOR A HUMANOID ROBOT

In this paper, investigations regarding the robust classification of acoustically observable sources (kitchen appliances and speakers) are presented. Thereby, two deciding factors are considered. On the one hand, the data acquisition should be exclusively done by the on-board sensors of the robot. On the other side, the entire information processing must be handled in real time due to the requirements given by the robot hardware. In so doing, there are positive and negative characteristics to think about. Since audio data are picked up in a small room like a kitchen with many sound sources, the background noise and reverberation of the signals of interest have to be taken into account. The redundancy of the signals picked up by the microphone array, which is installed on the robot head, can be employed to improve the classification accuracy. The presented system is based on Gaussian Mixture Models in correspondence with the Mel Frequency Cepstral Coefficients as acoustic signal features. Furthermore, a Universal Background Model is used for the special case of speaker identification. In this work, studies regarding the channel combination, the necessary length of the training phase, and the minimum data length for the evaluation are presented.
Research on a New Intelligent Industrial Equipments MIS

As the development of the computer and network technology, the equipment management system (MIS) is becoming hotter and hotter in the equipment management area. A new intelligent industrial equipments MIS is developed in this paper. In the design phase user info management, equipment information browse and parameter setting, measure point parameter setting, data analyze, report forms module and database design are included in. A method about B/S model was recommended, some technology such ASP.NET,ADO.NET, were used and the system was achieved in . NETplatform and C Sharp, in this paper.
Matrix Covariates Regression with Simultaneously Low Rank and Row (Column) Sparse Parameter

In this paper, we consider the estimation of the parameters in the regression model with matrix covariates, where the matrix parameter is simultaneously low rank and row(column) sparse. A commonly used way is to reformulate the parameter as the sum of rank one matrix. This approach usually involves nonconvex optimization and the global solution is not guaranteed. In this paper, we propose a new method formulating a convex optimization problem. An alternative direction method of multipliers (ADMM) algorithm is proposed to solve this convex optimization problem. Simulation shows the effectiveness of our algorithm.
Data stream warehousing

Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we 1) motivate the need for data stream warehouse systems using real-life examples drawn from our experiences in network and data center monitoring, 2) describe several possible system architectures for data stream warehousing, 3) discuss various issues in query languages, performance optimizations and data stream quality, and 4) conclude with a discussion of open problems.
Glamis Glamis a Queueing Approach to Parallel Application Performance Modelling

Preface Glamis thou art, and Cawdor; and shalt be what Thou art promis'd. Yet do I fear thy nature: : : This report documents the Glamis methodology for performance modelling and analysis of parallel systems as it has been developed up to this moment. Glamis (GeneraLised Architecture Modelling wIth Stochastic techniques) stands for a combined parallel machine and program modelling formalism with associated analysis methods and tool support, based on closed queueing networks. The name Glamis was inspired on Glamis Castle, situated near a small village of the same name in the Scottish district Angus, Tayside region, approx. 12 miles north of Dundee. The methodology also derives its pronunciation from the castle, viz. (in phonetic transcription) gla:mz]. Glamis Castle can look back on a long, and not always peaceful, history, which is strongly connected with Scottish and English royalty. King Malcolm II of Scotland was allegedly murdered there in 1034. Glamis Castle, originally from the 11th century, became the seat of the Earls of Strathmore and Kinghorne in 1372. The Old Pretender, son of James VII of Scotland, II of England, lodged at the castle in 1715. Mary Queen of Scots, perhaps better known as Bloody Mary, occupied the place and later paid it several visits. Also in the more recent history of Great Britain's royal family the castle has played a role: Queen Elizabeth II and her mother spent their childhood at the castle, and Princess Margaret was born there. Many legends are told in relation to Glamis Castle, some of which have been described in the works of famous British writers. A ghost is said to haunt the castle, preserving the lion-cup, which is mentioned by Sir Walter Scott 18], who once called Glamis (before its modernisation) \by far the noblest specimen of the real feudal castle that had yet come under his inspection. " But the place undoubtedly owes most of its fame to William Shakespeare's work 19]: Macbeth was Thane of Glamis before he became King of Scotland, and according to tradition (not history) Duncan's Hall, the oldest complete portion of the castle, is the place where he murdered King Duncan in 1040. The castle also encloses a secret room, where the Lords of Glamis and \Tiger" Earl of Crawford are said to have played cards with the Devil himself on Sabbath. This worried the residents so much that they sealed the room permanently. We will now …
The Largest Component in an Inhomogeneous Random Intersection Graph with Clustering

Given integers $n$ and $m=\lfloor\beta n \rfloor$ and a probability measure $Q$ on $\{0, 1,\dots, m\}$, consider the random intersection graph on the vertex set $[n]=\{1,2,\dots, n\}$ where $i,j\in [n]$ are declared adjacent whenever $S(i)\cap S(j)\neq\emptyset$. Here $S(1),\dots, S(n)$ denote the iid random subsets of $[m]$ with the distribution $\bf{P}(S(i)=A)={{m}\choose{|A|}}^{-1}Q(|A|)$, $A\subset [m]$. For sparse random intersection graphs, we establish a first-order asymptotic as $n\to \infty$ for the order of the largest connected component $N_1=n(1-Q(0))\rho+o_P(n)$. Here $\rho$ is the average of nonextinction probabilities of a related multitype Poisson branching process.
A Bicluster-Based Bayesian Principal Component Analysis Method for Microarray Missing Value Estimation

Data generated from microarray experiments often suffer from missing values. As most downstream analyses need full matrices as input, these missing values have to be estimated. Bayesian principal component analysis (BPCA) is a well-known microarray missing value estimation method, but its performance is not satisfactory on datasets with strong local similarity structure. A bicluster-based BPCA (bi-BPCA) method is proposed in this paper to fully exploit local structure of the matrix. In a bicluster, the most correlated genes and experimental conditions with the missing entry are identified, and BPCA is conducted on these biclusters to estimate the missing values. An automatic parameter learning scheme is also developed to obtain optimal parameters. Experimental results on four real microarray matrices indicate that bi-BPCA obtains the lowest normalized root-mean-square error on 82.14% of all missing rates.
Wideband frequency-domain characterization of FR-4 and time-domain causality

FR-4 is one of the most widely used dielectric substrates in the fabrication of printed circuits for fast digital devices. This material exhibits substantial losses and the loss tangent is practically constant over a wide band of frequencies. This paper presents measured data for the complex permittivity of this material from power frequencies up to the microwave region. In addition it gives simple closed-form expressions that approximate the measured data and provide a causal response in the time domain.
Spatial differentiation of compensation payments for biodiversity enhancing land-use measures

Given that both the costs and the benefits of biodiversity-enhancing land-use measures are subject to spatial variation, considerations of allocational efficiency call for spatially differentiated compensation payments for such measures. However, when deciding whether to implement uniform or spatially differentiated compensation payments, the regulator has to balance the allocational efficiency losses of uniform payments with the disadvantages of spatially differentiated payments. To help resolve this issue, this paper provides a conceptual framework that allows the extent of allocational efficiency losses associated with uniform payments for biodiversity-enhancing land-use measures to be assessed. A simple ecologicaleconomic model is presented which calculates the efficiency losses associated with uniform payments for different types of benefit and cost functions.
Standard and increased-dose BEACOPP chemotherapy compared with COPP-ABVD for advanced Hodgkin's disease.

BACKGROUND Faced with unsatisfactory results of treatment for advanced Hodgkin's disease, we investigated three combinations of chemotherapy. METHODS From 1993 to 1998, 1201 eligible patients 15 to 65 years of age who had newly diagnosed Hodgkin's disease in unfavorable stage IIB or IIIA or stage IIIB or IV were randomly assigned to receive eight cycles of cyclophosphamide, vincristine, procarbazine, and prednisone alternating with doxorubicin, bleomycin, vinblastine, and dacarbazine (COPP-ABVD); bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, and prednisone (BEACOPP); or increased-dose BEACOPP, each followed by local radiotherapy when indicated. Enrollment in the COPP-ABVD group was stopped in 1996 owing to inferior results. RESULTS For the final analysis, 1195 of 1201 patients could be evaluated: 260 in the COPP-ABVD group, 469 in the BEACOPP group, and 466 in the increased-dose BEACOPP group; the median follow-up was 72, 54, and 51 months, respectively. The rate of freedom from treatment failure at five years was 69 percent in the COPP-ABVD group, 76 percent in the BEACOPP group, and 87 percent in the increased-dose BEACOPP group (P=0.04 for the comparison of the COPP-ABVD group with the BEACOPP group and P<0.001 for the comparison of the increased-dose BEACOPP group with the COPP-ABVD group and with the BEACOPP group), and the five-year rates of overall survival were 83 percent, 88 percent, and 91 percent, respectively (P=0.16 for the comparison of the COPP-ABVD group with the BEACOPP group, P=0.06 for the comparison of the BEACOPP group with the increased-dose BEACOPP group, and P=0.002 for the comparison of the COPP-ABVD group with the increased-dose BEACOPP group). Rates of early progression were significantly lower with increased-dose BEACOPP than with COPP-ABVD or standard BEACOPP. CONCLUSIONS Increased-dose BEACOPP resulted in better tumor control and overall survival than did COPP-ABVD.
Tradeoffs in Processing Multi-Way Join Queries via Hashing in Multiprocessor Database Machines

During the past ﬁve years the design, implementation, and evaluation of join algorithms that exploit large main memories and parallel processors has received a great deal of attention. However, most of this work has addressed the problem of executing joins involving only two relations. In this paper we examine the problem of processing multi-way join queries through hash-based join methods in a shared-nothing database environment. We ﬁrst discuss how the choice of a format for a complex query can have a signiﬁcant effect on the performance of a multiprocessor database machine. Experimental results obtained from a simulation study are then presented to demonstrate the tradeoffs of left-deep and right-deep scheduling strategies for complex join query evaluation. These results demonstrate that right-deep scheduling strategies can provide signiﬁcant performance advantages in large multiprocessor database machines, even when memory is limited.
Shortening of Electromechanical Systole as a Manifestation of Excessive Adrenergic Stimulation in Acute Myocardial Infarction

The relationship between shortened electromechanical systole (QS2I) and 24-hour urinary catecholamine excretion (E+NE) was studied in 51 patients admitted to the coronary care unit with suspected acute myocardial infarction. Among these patients, 24 had a documented acute myocardial infarction while 27 had chest pain without evidence of recent myocardial infarction. Patients receiving cardioactive drugs or with impaired renal function were excluded. Initial elevation of catecholamine excretion was found in 22 of 24 subjects with myocardial infarction and 14 patients without documented myocardial infarction. A close linear correlation (r = -0.82, P < 0.001) was noted between shortening of the QS2I and catecholamine excretion among all patients irrespective of the presence of documented infarction. Patients with serious arrhythmias had significantly higher levels of catecholamine excretion. In 13 patients with a short QS2I, 2.5 mg of propranolol given intravenously produced a significant lengthening of the QS2I while no change in the QS2I occurred in normal controls. This test provided useful corroborative evidence that the short QS2I was related to excessive adrenergic stimulation. In view of the current availability of effective beta-adrenergic blocking agents, these results may improve the selection of patients for antiarrhythmic therapy with these drugs.
Windrose Planarity

Given a planar graph G and a partition of the neighbors of each vertex v in four sets v↗, v↖, v↙, and v↘, the problem Windrose Planarity asks to decide whether G admits a windrose-planar drawing, that is, a planar drawing in which (i) each neighbor u ∈ v↗v is above and to the right of v, (ii) each neighbor u ∈ v↖ is above and to the left of v, (iii) each neighbor u ∈ v↙ is below and to the left of v, (iv) each neighbor u ∈ v↘ is below and to the right of v, and (v) edges are represented by curves that are monotone with respect to each axis. By exploiting both the horizontal and the vertical relationship among vertices, windrose-planar drawings allow us to simultaneously visualize two partial orders defined by means of the edges of the graph. Although the problem is NP-hard in the general case, we give a polynomial-time algorithm for testing whether there exists a windrose-planar drawing that respects a given combinatorial embedding. This algorithm is based on a characterization of the plane triangulations admitting a windrose-planar drawing. Furthermore, for any embedded graph with n vertices that has a windrose-planar drawing, we can construct one with at most one bend per edge and with at most 2n−5 bends in total, which lies on the 3n × 3n grid. The latter result contrasts with the fact that straight-line windrose-planar drawings may require exponential area.
In Vivo Follow-up of Brain Tumor Growth via Bioluminescence Imaging and Fluorescence Tomography

Reporter gene-based strategies are widely used in experimental oncology. Bioluminescence imaging (BLI) using the firefly luciferase (Fluc) as a reporter gene and d-luciferin as a substrate is currently the most widely employed technique. The present paper compares the performances of BLI imaging with fluorescence imaging using the near infrared fluorescent protein (iRFP) to monitor brain tumor growth in mice. Fluorescence imaging includes fluorescence reflectance imaging (FRI), fluorescence diffuse optical tomography (fDOT), and fluorescence molecular Imaging (FMT®). A U87 cell line was genetically modified for constitutive expression of both the encoding Fluc and iRFP reporter genes and assayed for cell, subcutaneous tumor and brain tumor imaging. On cultured cells, BLI was more sensitive than FRI; in vivo, tumors were first detected by BLI. Fluorescence of iRFP provided convenient tools such as flux cytometry, direct detection of the fluorescent protein on histological slices, and fluorescent tomography that allowed for 3D localization and absolute quantification of the fluorescent signal in brain tumors.
Intracochlear Pressure Changes due to Round Window Opening: A Model Experiment

To preserve residual hearing in cochlea implantation, the electrode design has been refined and an atraumatic insertion of the cochlea electrode has become one aspect of cochlea implant research. The opening of the round window can be assumed to be a contributing factor in an atraumatic concept. The aim of our study was to observe intracochlear pressure changes due to different opening conditions of an artificial round window membrane. The experiments were performed in an artificial cochlea model. A round window was simulated with a polythene foil and a pressure sensor was placed in the helicotrema area to monitor intraluminal pressure changes. Openings of the artificial round window membrane were performed using different ways. Opening the artificial round window mechanically showed a biphasic behaviour of pressure change. Laser openings showed a unidirectional pressure change. The lowest pressure changes were observed when opening the artificial round window membrane using a diode laser. The highest pressure changes were seen when using a needle. The openings with the CO2 laser showed a negative intracochlear pressure and a loss of fluid. In our model experiments, we could prove that the opening of the artificial round window membrane causes various intracochlear pressure changes.