Miracle-dz/UniFAR-FTUs huggingface dataset:
Context-Aware Reviewer Assignment for Trust Enhanced Peer Review

Reviewer assignment is critical to peer review systems, such as peer-reviewed research conferences or peer-reviewed funding applications, and its effectiveness is a deep concern of all academics. However, there are some problems in existing peer review systems during reviewer assignment. For example, some of the reviewers are much more stringent than others, leading to an unfair final decision, i.e., some submissions (i.e., papers or applications) with better quality are rejected. In this paper, we propose a context-aware reviewer assignment for trust enhanced peer review. More specifically, in our approach, we first consider the research area specific expertise of reviewers, and the institution relevance and co-authorship between reviewers and authors, so that reviewers with the right expertise are assigned to the corresponding submissions without potential conflict of interest. In addition, we propose a novel cross-assignment paradigm, and reviewers are cross-assigned in order to avoid assigning a group of stringent reviewers or a group of lenient reviewers to the same submission. More importantly, on top of them, we propose an academic CONtext-aware expertise relevanCe oriEnted Reviewer cross-assignmenT approach (CONCERT), which aims to effectively estimate the “true” ratings of submissions based on the ratings from all reviewers, even though no prior knowledge exists about the distribution of stringent reviewers and lenient reviewers. The experiments illustrate that compared with existing approaches, our proposed CONCERT approach can less likely assign more than one stringent reviewers or lenient reviewers to a submission simultaneously and significantly reduce the influence of ratings from stringent reviewers and lenient reviewers, leading to trust enhanced peer review and selection, no matter what kind of distributions of stringent reviewers and lenient reviewers are.
On Measuring the Lattice of Commonalities Among Several Linked Datasets

A big number of datasets has been published according to the principles of Linked Data and this number keeps increasing. Although the ultimate objective is linking and integration, it is not currently evident how connected the current LOD cloud is. Measurements (and indexes) that involve more than two datasets are not available although they are important: (a) for obtaining complete information about one particular URI (or set of URIs) with provenance (b) for aiding dataset discovery and selection, (c) for assessing the connectivity between any set of datasets for quality checking and for monitoring their evolution over time, (d) for constructing visualizations that provide more informative overviews. Since it would be prohibitively expensive to perform all these measurements in a naive way, in this paper we introduce indexes (and their construction algorithms) that can speedup such tasks. In brief, we introduce (i) a namespace-based prefix index, (ii) a sameAs catalog for computing the symmetric and transitive closure of the owl:sameAs relationships encountered in the datasets, (iii) a semantics-aware element index (that exploits the aforementioned indexes), and finally (iv) two lattice-based incremental algorithms for speeding up the computation of the intersection of URIs of any set of datasets. We discuss the speedup obtained by the introduced indexes and algorithms through comparative results and finally we report measurements about connectivity of the LOD cloud that have never been carried out so far.
Joint Source-Channel Coding over a Fading Multiple Access Channel with Partial Channel State Information

In this paper we address the problem of transmission of correlated sources over a fast fading multiple access channel (MAC) with partial channel state information available at both the encoders and the decoder. We provide sufficient conditions for transmission with given distortions. Next these conditions are specialized to a Gaussian MAC (GMAC). We provide the optimal power allocation strategy and compare the strategy with various levels of channel state information.
Improving Cognitive Function in Older Adults: Nontraditional Approaches.

This article considers two nontraditional approaches for developing interventions to improve cognition in older adults. Neither of these approaches relies on traditional explicit training of specific abilities in the laboratory. The first technique involves the activation of automatic processes through the formation of implementation intentions that enhance the probability that a desired action will be completed, such as remembering to take medications. The second involves experimentally studying the role of active social and cognitive engagement in improving cognition. We then consider methodological issues associated with the use of these novel techniques.
Hardware model checking: Status, challenges, and opportunities

It's been nearly 30 years since Model Checking was first proposed as a method to validate hardware designs. Since then there has been considerable progress in this area and an active research community has grown around it. While areas like Software Model Checking and Hybrid Systems Model Checking are thriving, it seems there hasn't been much progress or activity in the area of Hardware Model Checking (HMC) itself lately. If we examine the proceedings of conferences like CAV, TACAS, or even FMCAD the number of submissions dealing with hardware model checking has gone down drastically compared to 10–15 yrs ago. But verification of hardware designs continues to be a pressing problem — if anything it is only getting exacerbated with the continuing push towards larger designs and shorter turn-around times. This panel will examine the current status of HMC, what further challenges and opportunities exist going forward and what can be done to give a fresh impetus to the area. The panel will broadly have three sections 1) Taking stock of the area, 2) Challenges to wider industrial adoption, and 3) How to renew interest in HMC? Each section will have multiple talking points (as described below) which will serve as guides for the panelists in taking their positions.
Predictors of mortality within prison and after release among persons living with HIV in Indonesia

Objectives HIV-related mortality is increasing in Indonesia, where prisons house many people living with HIV and addiction. We examined all-cause mortality in HIV-infected Indonesian prisoners within prison and up to 24 months postrelease. Materials and methods Randomly selected HIV-infected male prisoners (n=102) from two prisons in Jakarta, Indonesia, completed surveys in prison and were followed up for 2 years (until study completion) or until they died or were lost to follow-up. Death dates were determined from medical records and interviews with immediate family members. Kaplan–Meier and Cox proportional hazards regression models were analyzed to identify mortality predictors. Results During 103 person-years (PYs) of follow-up, 15 deaths occurred, including ten in prison. The crude mortality rate within prison (125.2 deaths per 1,000 PYs) was surpassed by the crude mortality rate (215.7 deaths per 1,000 PYs) in released prisoners. HIV-associated opportunistic infections were the most common probable cause of death. Predictors of within-prison and overall mortality were similar. Shorter survival overall was associated with being incarcerated within a specialized “narcotic” prison for drug offenders (hazard ratio [HR] 9.2, 95% confidence interval [CI] 1.1–76.5; P=0.03), longer incarceration (HR 1.06, 95% CI 1.01–1.1; P=0.01), and advanced HIV infection (CD4+ T-cell count <200/µL, HR 4.8, 95% CI 1.2–18.2; P=0.02). Addiction treatment was associated with longer survival (HR 0.1, 95% CI 0.01–0.9; P=0.03), although treatment with antiretroviral therapy (ART) or methadone was not. Conclusion Mortality in HIV-infected prisoners is extremely high in Indonesia, despite limited provision of ART in prisons. Interventions to restore immune function with ART and provide prophylaxis for opportunistic infections during incarceration and after release would likely reduce mortality. Narcotic prisons may be especially high-risk environments for mortality, emphasizing the need for universal access to evidence-based HIV treatments.
Visualizing the global secondary structure of a viral RNA genome with cryo-electron microscopy

The lifecycle, and therefore the virulence, of single-stranded (ss)-RNA viruses is regulated not only by their particular protein gene products, but also by the secondary and tertiary structure of their genomes. The secondary structure of the entire genomic RNA of satellite tobacco mosaic virus (STMV) was recently determined by selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE). The SHAPE analysis suggested a single highly extended secondary structure with much less branching than occurs in the ensemble of structures predicted by purely thermodynamic algorithms. Here we examine the solution-equilibrated STMV genome by direct visualization with cryo-electron microscopy (cryo-EM), using an RNA of similar length transcribed from the yeast genome as a control. The cryo-EM data reveal an ensemble of branching patterns that are collectively consistent with the SHAPE-derived secondary structure model. Thus, our results both elucidate the statistical nature of the secondary structure of large ss-RNAs and give visual support for modern RNA structure determination methods. Additionally, this work introduces cryo-EM as a means to distinguish between competing secondary structure models if the models differ significantly in terms of the number and/or length of branches. Furthermore, with the latest advances in cryo-EM technology, we suggest the possibility of developing methods that incorporate restraints from cryo-EM into the next generation of algorithms for the determination of RNA secondary and tertiary structures.
The Multi-Objective Differential Evolutionary Algorithms and its Application in Optimal Allocation of Water Resources

Abstract: Differential evolution algorithm (differential evolution DE) is a multi-objective evolutionary algorithm based on groups， which instructs optimization search by swarm intelligence produced by co-operation and competition among individuals within groups. This paper presents it to the research of optimal allocation of water resources. Accord to the application of the example, the results shows that reasonable and effective.
IP watermark verification based on power consumption analysis

The increasing production costs of electronic devices and changes in the design methods of integrated circuits (ICs) has led to emerging threats in the microelectronics industry. Today, high value chips are the target of counterfeiting, theft and malicious hardware insertion (such as hardware trojans). Intellectual property (IP) protection has become a major concern and we propose to fight counterfeiting and theft by designing salutary hardware (salware). Instead of insert malicious effects inside an IP like a malware (e.g. a hardware trojan), a salware uses the same techniques, strategies and means for IP protection. One of the most studied salware is IP watermarking. Many works propose to target the finite state machine of digital IP to perform the watermarking. But, most of the time, the verification of the watermark is not clearly described. This conduces to a lack of credibility of these works. This paper proposes a watermark verification scheme using a correlation analysis based on the measurement of the IC power consumption. This article presents this process of verification and also discusses the selection of its parameters according to experimental results.
Cystic fibrosis: a model system for precision medicine

Purpose of review Development of cystic fibrosis transmembrane conductance regulator (CFTR) modulators, small molecule therapies that target the basic defect in cystic fibrosis (CF), represents a new era in CF treatment. This review highlights recent progress in CF therapeutics as an example of precision medicine and personalized approaches to test CFTR modulators using preclinical model systems. Recent findings CFTR modulators are now clinically available for approximately 50% of the United States CF population. The CFTR potentiator, ivacaftor, is approved for people with CF ages 2 years and older with at least one gating mutation (G551D, G1244E, G1349D, G178R, G551S, S1251N, S1255P, S549N, or S549R) or the R117H conductance mutation. The recent Food and Drug Administration approval of the corrector/potentiator combination, lumacaftor/ivacaftor, expands modulator therapy to people with CF homozygous for the F508del mutation, ages 12 years and older. Ivacaftor and lumacaftor, however, do not fully restore CFTR activity. Thus, next-generation correctors and potentiators are in development. Read-through agents targeting nonsense mutations and genotype agnostic treatments (gene-editing and gene therapy) are also in various phases of clinical development. Summary CFTR modulators promise to transform the therapeutic landscape in CF in a precision based fashion. Areas of ongoing research include developing drugs for all mutation classes so that all persons with CF can benefit from these therapies, and refining preclinical assays that allow the selection of the most effective treatments on an individual basis.
Monocyte‐Derived CD1a+ Dendritic Cells Generated in Two Different Culture Systems: Immunophenotypic and Functional Comparison

Previous studies demonstrated that CD1a+ dendritic cells (DCs) could not be prepared ex vivo without using fetal calf serum (FCS). Recently, we developed a method of using heparin to induce differentiation of human monocytes into CD1a+ DCs without using FCS. In order to determine the potential clinical applicability of heparin‐induced CD1a+ DCs, we conducted this study to compare both types of CD1a+ DCs, immunophenotypically and functionally. Our results showed that the expression of CD1a on heparin‐DCs was lower than that on FCS‐DCs. Both types of DCs expressed similar levels of CD11c, HLA‐DR, CD40, CD83, CD80 and CD86 before and after lipopolysaccharide stimulation. Immature heparin‐DCs and FCS‐DCs had similar phagocytic activities. Heparin‐DCs consistently secreted higher interleukin‐10 (IL‐10) and lesser IL‐12 than FCS‐DCs after activation. Mature heparin‐DCs were slightly more active than mature FCS‐DCs in stimulating the proliferation of allogeneic CD4+ T cells. Both types of mature CD1a+ DCs primed the naïve CD4+ T cells to produce large amount of interferon‐γ (IFN‐γ). However, naïve CD4+ T cells stimulated with FCS‐DCs produced more IFN‐γ, while the naïve CD4+ T cells stimulated with heparin‐DCs produced more IL‐5. The results indicate that both types of CD1a+ DCs do not have identical function in the priming of CD4+ T cells and have minor difference in immunophenotypes.
Cellulose nanofibril-cell adhesive peptide conjugates for 3D printed skin tissue model

iii Resumo . v Acknowledgements . vii Table of contents . ix List of figures . xi List of tables . xiii Abbreviations . xv Objectives . xvii Chapter I . 19 Introduction . 19 1.1 Wound healing and skin tissue engineering . 20 1.2 Treatment methods of skin lesions . 22 1.2.1 Conventional treatments . 22 1.2.2 Tissue-engineered skin substitutes . 23 1.3 3D Bioprinting . 24 1.4 Bioink components used in 3D Bioprinting . 25 1.4. 1 Nanocellulose . 26 1.4. 2 Alginate . 26 1.4. 3 Hyaluronic Acid . 27 1.4. 4 Cell source . 29 1.5 RGD and integrin recognition . 30 Chapter II . 33 Methodology . 33 2.1 – CNF bioconjugation . 33 2.2 – Characterization of inks . 34 2.2.1 – X-Ray Photoelectron Spectroscopy (XPS) . 34 2.2.2 – Dynamic Light Scattering (DLS) . 34
Empirical Analysis of the Spot Market Implications of Price-Responsive Demand

Regardless of the form of restructuring, deregulated electricity industries share one common feature: the absence of any significant, rapid demand-side response to the wholesale (or, spot market) price. For a variety of reasons, most electricity consumers still pay an average cost based regulated retail tariff held Over from the era of vertical integration, even as the retailers themselves are often forced to purchase electricity at volatile wholesale prices set in open markets. This results in considerable price risk for retailers, who are sometimes additionally forbidden by regulators from signing hedging contracts.
Extending the EGEE Grid with XtremWeb-HEP Desktop Grids

Desktop Grids and Service Grids are widely used by scientific communities to execute high throughput application. The European EDGeS project aims at developing the technologies to bridge these two kinds of Grid technologies together. In this paper, we present the development and the application of these new technology to extend the EGEE Grid with XtremWeb-HEP based Desktop Grids. We present the setup of the distributed infrastructure which enables EGEE users' jobs to run on one of the three various XtremWeb-HEP DGs. We describe the new volunteer computing project EGEE@Home based on XtremWeb-HEP middleware. To evaluate the capacity of our technology, we present a performance measurement of the main components and conclude that the overhead is kept reasonable despite the fact that the infrastructure is highly distributed.
PROAR: A Weak Consistency Model for Ceph

The primary-copy consistency model used in Ceph cannot satisfy the low latency requirement of write operation required by users. In this paper, we propose a weak consistency model, PROAR, based on a distributed hash ring mechanism to allow clients to only commit data to the primary node and synchronize data to replication nodes asynchronously in Ceph. Based on the distributed hash ring mechanism, the low latency requirement of write operation can be met. In addition, the workload of the primary node can be reduced while that of replication nodes can be more balanced. We have evaluated the proposed scheme on a Ceph storage system with 3 storage nodes. The experimental results show that PROAR can reduce about 50% write overhead compared to that of Ceph and has a more balanced workload around all the replication nodes.
Asset life cycle management : towards improving physical asset performance in the process industry

Purpose – Asset management is often one of the last options to maximise cost savings in a competitive global economy due to its intrinsic complexity, especially in many developing countries. Asset management in the process industry must consider the commissioning, operational and end‐of‐life phases of physical assets when commencing a design and implementation project. However, current asset management models show inefficiencies in terms of addressing life cycle costs comprehensively, as well as other aspects of sustainable development. An asset life cycle management (ALCM) model is subsequently proposed for assets in the process industry, which integrates the concepts of generic project management frameworks and systems engineering with operational reliability in order to address these inefficiencies.Design/methodology/approach – Experiences within a large petrochemical company in South Africa are used as a case study to demonstrate and discuss the different components of the proposed ALCM model.Findings.
Cardiac troponin levels following implantable cardioverter defibrillation implantation and testing.

AIMS Previous studies have reported the defibrillation testing during implantable cardioverter defibrillator (ICD) implantation is associated with elevated cardiac biomarkers and ST-segment electrocardiogram (ECG) changes suggesting that shocks during testing may cause harm. However, the effects of testing have not been isolated from the implant procedure itself, where lead deployment may cause myocardial damage. This prospective study examined high sensitivity troponin T (hs-TnT) levels and ECG changes during ICD implanting alone, ICD implantation with testing and device testing as a stand-alone procedure. METHODS AND RESULTS We examined hs-TnT at baseline, and 6-8 h post procedure and 12 lead ECG at baseline, and 30 s, 5 min, and 10 min post right ventricle lead deployment and post defibrillation. There was no significant change in hs-TnT levels in a group of patients (n = 11) undergoing defibrillation testing alone, while hs-TnT was significantly elevated in patients undergoing implantation alone (n = 13, median increase 96%, P = 0.005) and in patients undergoing implantation and testing (n = 13, median increase 161%, P = 0.005). There was a significant correlation between the number of lead deployments and the percentage change in hs-TnT (r = -0.51, P = 0.01), but no correlation between either the number of shocks (r = 0.26, P = 0.25) or the total delivered energy (r = 0.24, P = 0.30) and percentage change in hs-TnT. CONCLUSION Implantation of ICD leads was associated with release of troponin, but we did not observe any evidence that ICD shocks alone cause myocardial injury.
Aerosolized 3-Bromopyruvate Inhibits Lung Tumorigenesis without Causing Liver Toxicity

3-Bromopyruvate, an alkylating agent and a well-known inhibitor of energy metabolism, has been proposed as a specific anticancer agent. However, the chemopreventive effect of 3-bromopyruvate in lung tumorigenesis has not been tested. In this study, we investigated the chemopreventive activity of 3-bromopyruvate in a mouse lung tumor model. Benzo(a)pyrene was used to induce lung tumors, and 3-bromopyruvate was administered by oral gavage to female A/J mice. We found that 3-bromopyruvate significantly decreased tumor multiplicity and tumor load by 58% and 83%, respectively, at a dose of 20 mg/kg body weight by gavage. Due to the known liver toxicity of 3-bromopyruvate in animal models given large doses of 3-bromopyruvate, confirmed in this study, we decided to test the chemopreventive activity of aerosolized 3-bromopyruvate in the same lung tumor model. As expected, aerosolized 3-bromopyruvate similarly significantly decreased tumor multiplicity and tumor load by 49% and 80%, respectively, at a dose of 10 mg/mL by inhalation. Interestingly, the efficacy of aerosolized 3-bromopyruvate did not accompany any liver toxicity indicating that it is a safer route of administering this compound. Treatment with 3-bromopyruvate increased immunohistochemical staining for cleaved caspase-3, suggesting that the lung tumor inhibitory effects of 3-bromopyruvate were through induction of apoptosis. 3-Bromopyruvate also dissociated hexokinase II from mitochondria, reduced hexokinase activity, and blocked energy metabolism in cancer cells, finally triggered cancer cell death and induced apoptosis through caspase-3, and PARP in human lung cancer cell line. The ability of 3-bromopyruvate to inhibit mouse lung tumorigenesis, in part through induction of apoptosis, merits further investigation of this compound as a chemopreventive agent for human lung cancer. Cancer Prev Res; 5(5); 717–25. ©2012 AACR.