Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring and Predicting Hardware Failures in HPC Clusters with FTB-IPMI

Fault-detection and prediction in HPC clusters and Cloud-computing systems are increasingly challenging issues. Several system middleware such as job schedulers and MPI implementations provide support for both reactive and proactive mechanisms to tolerate faults. These techniques rely on external components such as system logs and infrastructure monitors to provide information about hardware/software failure either through detection, or as a prediction. However, these middleware work in isolation, without disseminating the knowledge of faults encountered. In this context, we propose a light-weight multi-threaded service, namely FTB-IPMI, which provides distributed fault-monitoring using the Intelligent Platform Management Interface (IPMI) and coordinated propagation of fault information using the Fault-Tolerance Backplane (FTB). In essence, it serves as a middleman between system hardware and the software stack by translating raw hardware events to structured software events and delivering it to any interested component using a publish-subscribe framework. Fault-predictors and other decision-making engines that rely on distributed failure information can benefit from FTB-IPMI to facilitate proactive fault-tolerance mechanisms such as preemptive job migration. We have developed a fault-prediction engine within MVAPICH2, an RDMA-based MPI implementation, to demonstrate this capability. Failure predictions made by this engine are used to trigger migration of processes from failing nodes to healthy spare nodes, thereby providing resilience to the MPI application. Experimental evaluation clearly indicates that a single instance of FTB-IPMI can scale to several hundreds of nodes with a remarkably low resource-utilization footprint. A deployment of FTB-IPMI that services a cluster with 128 compute-nodes, sweeps the entire cluster and collects IPMI sensor information on CPU temperature, system voltages and fan speeds in about 0.75 seconds. The average CPU utilization of this service running on a single node is 0.35%.
The right ventricle following prolonged endurance exercise: are we overlooking the more important side of the heart? A meta-analysis

Aims Prolonged endurance exercise is associated with elevated biomarkers associated with myocardial damage and modest evidence of left ventricular (LV) dysfunction. Recent studies have reported more profound effects on right ventricular (RV) function following endurance exercise. We performed a meta-analysis of studies reporting RV function pre-endurance and postendurance exercise. Methods We performed a search of peer-reviewed studies with the criteria for inclusion in the analysis being (1) healthy adult participants; (2) studies examining RV function following an event of at least 90 min duration; (3) studies reporting RV fractional area change (RVFAC), RV strain (S), RV ejection fraction (RVEF) or tricuspid annular plane systolic excursion (TAPSE) and (4) studies evaluating RV function immediately (<1 h) following exercise. Results Fourteen studies were included with 329 participants. A random-effects meta-analysis revealed significant impairments of RV function when assessed by RVFAC (weighted mean difference (WMD) −5.78%, 95% CI −7.09% to −4.46%), S (WMD 3.71%, 95% CI 2.79% to 4.63%), RVEF (WMD −7.05%, 95% CI −12.3% to −1.8%) and TAPSE (WMD −4.77 mm, 95% CI −8.3 to −1.24 mm). Modest RV dilation was evident in studies reporting RV systolic area postexercise (WMD 1.79 cm2, 95% CI 0.5 to 3.08 cm2). In contrast, no postexercise changes in LV systolic function (expressed as LVFAC or LVEF) were observed in the included studies (standardised mean difference 0.03%, 95% CI −0.13% to 0.18%). Conclusions Intense prolonged exercise is associated with a measurable reduction in RV function while LV function is relatively unaffected. Future studies should examine the potential clinical consequences of repeated prolonged endurance exercise on the right ventricle.
Detection and management of the deteriorating ward patient: an evaluation of nursing practice.

AIMS AND OBJECTIVES To audit ward nursing practice in the adherence to an early warning scoring protocol in the detection and initial management of the deteriorating ward patient and investigate factors that may impact on practice. BACKGROUND Hospital inpatients can experience unexpected physiological deterioration leading to poor outcomes and death. Although deterioration can be signalled in the patients' physiological symptoms, evidence suggests that ward staff can miss, misinterpret or mismanage the signs. Rapid response systems have been implemented to address this problem. The rapid response systems consists of two phases: the afferent phase involves monitoring the patient, recognising deterioration and referring to more expert help and the efferent phase involves expert teams assessing and treating the patient. Research has tended to concentrate on the efferent phase of the process and has so far failed to show a significant impact on patient outcome. METHODS Using cardiac arrest as a surrogate marker for deterioration, patient records were retrospectively reviewed during the 12 hours prior to the cardiac arrest event. Data relating to nursing practice and adherence to the early warning scoring protocol were extracted and analysed. FINDINGS The findings suggest that ward nurses' monitoring of patients' observations has improved compared with earlier research, but errors in early warning scoring and nonadherence to referral protocols are still a problem. A number of potentially influential factors on nursing practice were tested, but only deterioration occurring outside normal weekdays was associated with a reduced quality of nursing adherence to protocol. CONCLUSIONS The implementation of rapid response systems may have been an oversimplified solution to the highly complex problem of undetected patient deterioration. There are a multitude of contributory factors to the problem of noncompliance to early warning scoring protocols, and possible solutions will need to reflect the breadth, depth and complexity of the problem if we are to improve patient experience and outcome. RELEVANCE TO CLINICAL PRACTICE An audit of nursing practice against an early warning scoring protocol based on national recommendations and standards in the recording of and response to physiological deterioration in the ward patient has shown that vital signs recording has improved, but early warning scoring accuracy and referral to more expert help remain suboptimal. By identifying areas of suboptimal practice, strategies for education and training and service development can be better informed. More in-depth evidence on factors that may impact the quality of nursing practice has been identified. Problems with rapid response systems assumptions have been highlighted, which may facilitate the implementation of more realistic solutions for managing the deteriorating ward patient.
On the Stability Margin of Networked Dynamical Systems

This paper is concerned with the stability (gain and phase) margin of networked dynamical systems, e.g., vehicles in formation, each of which has access to the state of its neighbors and subsequently uses a state feedback gain <inline-formula><tex-math notation="LaTeX">$F$</tex-math></inline-formula> for a certain global objective such as attitude synchronization. Here, the network topology is directed and described by a generalized Laplacian matrix <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula>. An individual dynamical system can adopt its own state feedback control law such as a linear-quadratic-regulator controller for an ample stability margin, but it may lose the stability margin to a great extent when the same control strategy utilizing relative state information is used after being interconnected with other dynamical systems. This paper reveals and elaborates upon the following four facts: First, the stability margin after interconnection is quantified via the minimum singular value of a frequency-dependent matrix made up of <inline-formula><tex-math notation="LaTeX">$F$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula>; Second, the stability margin of a networked dynamical system having a pole at the origin is at most the inverse of the zero-eigenvalue sensitivity of <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula>; Third, there exists an upper bound of the stability margin that has a computational merit, and asymptotically converges to the exact margin with respect to network size, probability of link existence, and control gain in a random network setting; and finally, <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula> can be designed to maximize the stability margin. Numerical examples are provided to demonstrate the elaboration.
Electromechanical and robot-assisted arm training for improving arm function and activities of daily living after stroke.

BACKGROUND Electromechanical and robot-assisted arm training devices are used in rehabilitation and might help to improve arm function after stroke. OBJECTIVES To assess the effectiveness of electromechanical and robot-assisted arm training for improving activities of daily living and arm function and motor strength of patients after stroke, and the acceptability and safety of the therapy. SEARCH STRATEGY We searched the Cochrane Stroke Group Trials Register (last searched October 2007), the Cochrane Central Register of Controlled Trials (The Cochrane Library, Issue 3, 2007), MEDLINE (1950 to October 2007), EMBASE (1980 to October 2007), CINAHL (1982 to October 2007), AMED (1985 to October 2007), SPORTDiscus (1949 to October 2007), PEDro (searched October 2007), COMPENDEX (1972 to October 2007) and INSPEC (1969 to October 2007). We also handsearched relevant conference proceedings, searched trials and research registers, checked reference lists, and contacted trialists, experts and researchers in our field, and manufacturers of commercial devices. SELECTION CRITERIA Randomised controlled trials comparing electromechanical and robot-assisted arm training for recovery of arm function with other rehabilitation interventions or no treatment for patients after stroke. DATA COLLECTION AND ANALYSIS Two review authors independently selected trials for inclusion, assessed trial quality and extracted data. We contacted trialists for additional information. We analysed the results as standardised mean differences (SMDs) for continuous variables and relative risk differences (RD) for dichotomous variables. MAIN RESULTS We included 11 trials (328 participants) in this review. Electromechanical and robot-assisted arm training did not improve activities of daily living (SMD = 0.29; 95% confidence interval (CI) -0.47 to 1.06; P = 0.45; I(2 )= 85%). Arm motor function and arm motor strength improved (SMD = 0.68, 95% CI 0.24 to 1.11; P = 0.002; I(2 )= 56% and SMD = 01.03, 95% CI 0.29 to 1.78; P = 0.007; I(2 )= 79% respectively). Electromechanical and robot-assisted arm training did not increase the risk of patients to drop out (RD) (fixed-effect model) = 0.01; 95% CI -0.05 to 0.06; P = 0.77; I(2 )= 0.0%) and adverse events were rare. AUTHORS' CONCLUSIONS Patients who receive electromechanical and robot-assisted arm training after stroke are not more likely to improve their activities of daily living, but arm motor function and strength of the paretic arm may improve. However, the results must be interpreted with caution because there were variations between the trials in the duration, amount of training and type of treatment, and in the patient characteristics.
Literacy in the United States: Readers and Reading Since 1880

The United States is at a crucial moment in the history of literacy, a time when how well Americans read is the subject of newspaper headlines. In this insightful book, Carl F. Kaestle and his colleagues shed new light on this issue, providing a social history of literacy in America that broadens the definition of literacy and considers who was reading what, under what circumstances, and for what purposes. The book explores diverse sources-from tests of reading ability, government surveys, and polls to nineteenth-century autobiographies and family budget studies-in order to assess trends in Americans' reading abilities and reading habits. It investigates such topics as the relation of literacy to gender, race, ethnicity, and income; the magnitude, causes, and policy implications of the decline in test scores in the early 1970s; the reasons women's magazines have been more successful than magazines for men; and whether print technology has fostered cultural diversity or consolidation. It concludes that there has been an immense expansion of literacy in America over the past century, against which the modest skill declines of the 1970s pale by comparison. There has also been tremendous growth in the availability, purchase, and use of printed materials. In recent decades, however, literacy has leveled and even declined in some areas of reading, as shown in the downward trends in purchases of newspapers and magazines. Since Americans are now being lured away from the print media by electronic media, say the authors, current worries about Americans' literacy levels may well be justified.
Effects of social support and personality on emotional disclosure on Facebook and in real life

ABSTRACT This paper focuses on the roles of personality and social support in affecting the extent of emotional disclosure in social media (SM) and compares them to those in face-to-face encounters. Specifically, we consider the effects of the Big Five personality traits and perceptions of social support from friends, significant others, and family on the extent of sharing positive and negative emotions on Facebook (FB) vs. real life (RL). The data are collected via an online survey of a broad demographic range of FB users. Our findings suggest that certain personality traits (extroversion, agreeableness, and conscientiousness), as well as perceived social support from friends, are significantly related to the disclosure of positive emotions on FB. We also report and discuss the differences between drivers of emotional disclosure in SM and RL, as well as offer suggestions for future research.
A role for the epidermal growth factor-like domain of P-selectin in ligand recognition and cell adhesion

The selectin family of adhesion molecules mediates the initial interactions of leukocytes with endothelium. The extracellular region of each selectin contains an amino-terminal C-type lectin domain, followed by an EGF-like domain and multiple short consensus repeat units (SCR). Previous studies have indirectly suggested a role for each of the extracellular domains of the selectins in cell adhesion. In this study, a panel of chimeric selectins created by exchange of domains between L- and P-selectin was used to directly examine the role of the extracellular domains in cell adhesion. Exchange of only the lectin domains between L- and P-selectin conferred the adhesive and ligand recognition functions of the lectin domain of the parent molecule. However, chimeric selectins which contained both the lectin domain of L- selectin and the EGF-like domain of P-selectin exhibited dual ligand- binding specificity. These chimeric proteins supported adhesion both to myeloid cells and to high endothelial venules (HEV) of lymph nodes and mesenteric venules in vivo. Exchange of the SCR domains had no detectable effect on receptor function or specificity. Thus, the EGF- like domain of P-selectin may play a direct role in ligand recognition and leukocyte adhesion mediated by P-selectin, with the lectin plus EGF- like domains collectively forming a functional ligand recognition unit.
Tradeoff Between Hot Carrier and Negative Bias Temperature Degradations in High-Performance $\hbox{Si}_{1 - x}\hbox{Ge}_{x}$ pMOSFETs With High-$k$/Metal Gate Stacks

Analyzed herein is the effect of different germanium (Ge) concentrations on negative bias temperature instability (NBTI) and channel hot carrier (CHC) degradations in high-performance Si<sub>1</sub><sub>-</sub><sub>x</sub>Ge<sub>x</sub> pMOSFETs. It is shown that higher concentrations result in less NBTI degradation due to the increased barrier height between the SiGe and high-<i>k</i> dielectric interface, but it causes greater CHC degradation due to the decreased channel bandgap with higher Ge concentrations. Therefore, the tradeoff between NBTI and HC degradations for different Ge concentrations should be considered when developing high-performance Si<sub>1</sub><sub>-</sub><sub>x</sub>Ge<sub>x</sub> pMOSFETs.
Drug adherence to biologic DMARDS with a special emphasis on the benefits of subcutaneous abatacept

Major advances in drug development have led to the introduction of biologic disease- modifying drugs for the treatment of rheumatoid arthritis, which has resulted in unprecedented improvement in outcomes for many patients. These agents have been found to be effective in reducing clinical signs and symptoms, improving radiological damage, quality of life, and functionality, and have also been found to have an acceptable safety profile. Despite this, drug adherence is unknown, which has huge health care and health-economic implications. Local and national guidelines exist for the use of biologics; however, its varied use is widespread. Although this may in part reflect differences in prescribing behavior, patient preference plays a key role. In this review we will explore the factors that contribute to patient preference for, and adherence to, biologic therapy for rheumatoid arthritis with emphasis on the subcutaneous preparation of abatacept, a T-cell costimulatory molecule blocker. Overall, subcutaneous administration is preferred by patients and this may well improve drug adherence.
Human neural crest cells display molecular and phenotypic hallmarks of stem cells

The fields of both developmental and stem cell biology explore how functionally distinct cell types arise from a self-renewing founder population. Multipotent, proliferative human neural crest cells (hNCC) develop toward the end of the first month of pregnancy. It is assumed that most differentiate after migrating throughout the organism, although in animal models neural crest stem cells reportedly persist in postnatal tissues. Molecular pathways leading over time from an invasive mesenchyme to differentiated progeny such as the dorsal root ganglion, the maxillary bone or the adrenal medulla are altered in many congenital diseases. To identify additional components of such pathways, we derived and maintained self-renewing hNCC lines from pharyngulas. We show that, unlike their animal counterparts, hNCC are able to self-renew ex vivo under feeder-free conditions. While cross species comparisons showed extensive overlap between human, mouse and avian NCC transcriptomes, some molecular cascades are only active in the human cells, correlating with phenotypic differences. Furthermore, we found that the global hNCC molecular profile is highly similar to that of pluripotent embryonic stem cells when compared with other stem cell populations or hNCC derivatives. The pluripotency markers NANOG, POU5F1 and SOX2 are also expressed by hNCC, and a small subset of transcripts can unambiguously identify hNCC among other cell types. The hNCC molecular profile is thus both unique and globally characteristic of uncommitted stem cells.
Trait Emotional Intelligence Questionnaire-Short Form: Validity and Reliability Studies

The purpose of this study was to examine the validity and reliability of Trait Emotional Intelligence Questionnaire–Short Form (TEIQue-SF) developed by Petrides and Furnham (2000, 2001). Participants were 464 university students. Language equivalency was supported by positive correlations between translated forms (English-Turkish) and backtranslated forms (TurkishEnglish). Explanatory Factor Analysis performed for construct validity revealed that the scale is a four-factor measure with 20 items. This four-factor solution was tested with Confirmatory Factor Analysis and the results provided a good fit to the data. The internal consistency score of the TEIQue-SF was . 81 and test-retest reliabilty of the total score was . 86. These results revealed that this scale is a valid and reliable instrument to use with Turkish university students.
Model predictive control using fuzzy decision functions

Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper investigates the use of fuzzy decision making (FDM) in model predictive control (MPG), and compares the results to those obtained from conventional MPG. Attention is also paid to the choice of aggregation operators for fuzzy decision making in control. Experiments on a nonminimum phase, unstable linear system, and on an air-conditioning system with nonlinear dynamics are studied. It is shown that the performance of the model predictive controller can be improved by the use of fuzzy criteria in a fuzzy decision making framework.
The Spectral Efficiency of 2 × 2 Adaptive MIMO Systems in Spatially Correlated Rayleigh Fading Channel

In need for high-speed data transmission over wireless channels, multiple-input multiple-output (MIMO) technology has been suggested as it exhibits significant improvement in channel capacity. In practice, adaptive modulation scheme can be applied in different MIMO algorithms to further improve the system efficiency. In this paper, we derive closed-form expressions for the spectral efficiency of MIMO system utilizing two algorithms: Orthogonal Space-Time Block Coding (OSTBC) and spatial multiplexing with zero-forcing (ZF) receiver. Furthermore, a low-complexity adaptive scheme that switches between OSTBC and ZF to achieve even a higher spectral efficiency is suggested based on the closed form expressions.
Frequency planning framework for multi-hop OFDMA-based cellular networks

In this paper, we consider frequency planning of orthogonal frequency division multiple access (OFDMA) based cellular networks, with two-hop decode-and-forward relay stations (RSs). We develop a new framework for the mathematical modeling of the frequency planning problem, which aims at suppressing multi-links interference and enhancing spectral efficiency. The concept of incidence coloring from modern graph theory is utilized to recast the original frequency planning problem and guide the solution from graph theory perspective.