Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Global Data Deduplication for a Scale-Out Distributed Storage System

Scale-out distributed storage systems can uphold balanced data growth in terms of capacity and performance on an on-demand basis. However, it is a challenge to store and manage large sets of contents being generated by the explosion of data. One of the promising solutions to mitigate big data issues is data deduplication, which removes redundant data across many nodes of the storage system. Nevertheless, it is non-trivial to apply a conventional deduplication design to the scale-out storage due to the following root causes. First, chunk-lookup for deduplication is not as scalable and extendable as the underlying storage system supports. Second, managing the metadata associated to deduplication requires a huge amount of design and implementation modifications of the existing distributed storage system. Lastly, the data processing and additional I/O traffic imposed by deduplication can significantly degrade performance of the scale-out storage. To address these challenges, we propose a new deduplication method, which is highly scalable and compatible with the existing scale-out storage. Specifically, our deduplication method employs a double hashing algorithm that leverages hashes used by the underlying scale-out storage, which addresses the limits of current fingerprint hashing. In addition, our design integrates the meta-information of file system and deduplication into a single object, and it controls the deduplication ratio at online by being aware of system demands based on post-processing. We implemented the proposed deduplication method on an open source scale-out storage. The experimental results show that our design can save more than 90% of the total amount of storage space, under the execution of diverse standard storage workloads, while offering the same or similar performance, compared to the conventional scale-out storage.
Measuring Intimate Partner Violence and Traumatic Affect: Development of VITA, an Italian Scale

In a global context where the percentage of women who are victim of violence is still high (World Health Organization, 2013), intimate partner violence (IPV) can be considered the most widespread form of violence against women: in such cases violent attacks are perpetuated or threatened by a partner or ex-partner within an intimate relationship, which makes its recognition more difficult. IPV requires specific tools and, although the literature has highlighted the specific role played by some emotions (such as shame, guilt, and fear) that keep women experiencing this violence in a state of passivity and confusion, to date too little attention has been given to the construction of sound instruments able to detect post-traumatic affectivity. Such instruments could facilitate women who have suffered from IPV in recognizing it and in making the responses of women’s health services more sensitive and structured. This study illustrates a sequential item development process to elaborate a new self-report instrument (VITA Scale: Intimate Violence and Traumatic Affects Scale) for assessing the intensity of post-traumatic affect derived from IPV. Within a psychodynamic perspective, the scale is characterized by four affects: fear, as a state of alarm elicited by the avoidance of the danger; terror, as a paralyzing state that hinders an active process of reaction; shame as a strong exposure to the other that disarms the individual and the guilt as a defensive dimension aiming at the restoring of the link with the abusive partner. Trough specific methodological steps, a 28-item set was selected and administered to a sample of 302 Italian women who declared themselves as having suffered from IPV. Explorative and confirmatory factor analysis, as well as correlations with well-established concurrent tools were computed in order to investigate its psychometric property. A factorial structure composed of four factors, consistent with theoretical scales and a good internal consistency (Cronbach’s alphas from 0.80 to 0.90) emerged. The VITA Scale could be a useful tool for clinicians and researchers to investigate the intensity of the affective state of the woman suffered from IPV. It could be useful to better address the clinical practice and therapeutic intervention planning.
SOCIAL LEARNING IN A DYNAMIC ENVIRONMENT

Agents learn about a state using private signals and the past actions of their neighbors. In contrast to most models of social learning in a network, the target being learned about is moving around. We ask: when can a group aggregate information quickly, keeping up with the changing state? First, if each agent has access to neighbors with sufficiently diverse kinds of signals, then Bayesian learning achieves good information aggregation. Second, without such diversity, there are cases in which Bayesian information aggregation necessarily falls far short of efficient benchmarks. Third, good aggregation can be achieved only if agents “anti-imitate” some neighbors: otherwise, equilibrium estimates are inefficiently confounded by “echoes. ” Agents’ stationary equilibrium learning rules incorporate past information by taking linear combinations of other agents’ past estimates (as in the simple DeGroot heuristic), and we characterize the coefficients in these linear combinations. We discuss how the resulting tractability is useful for structural estimation of equilibrium learning models and testing against behavioral alternatives. Department of Economics, Harvard University, Cambridge, U.S.A. , dasarath@g.harvard. edu, bgolub@fas.harvard. edu, nirhak@g.harvard. edu. We are grateful to (in random order) Alireza TahbazSalehi, Evan Sadler, Muhamet Yildiz, Philipp Strack, Drew Fudenberg, Nageeb Ali, Tomasz Strzalecki, Jeroen Swinkels, Margaret Meyer, Michael Powell, Michael Ostrovsky, Leeat Yariv, Eric Maskin, Elliot Lipnowski, Kevin He, Eddie Dekel, Annie Liang, Iosif Pinelis, Ozan Candogan, Bob Wilson, Omer Tamuz, Jeff Zwiebel, Matthew O. Jackson, Xavier Vives, Matthew Rabin, and Andrzej Skrzypacz for valuable conversations, and especially to David Hirshleifer for detailed comments on a draft. We also thank numerous seminar participants for helpful questions and comments. ar X iv :1 80 1. 02 04 2v 3 [ ec on . T H ] 2 2 A ug 2 01 8 SOCIAL LEARNING IN A DYNAMIC ENVIRONMENT 1
Are maternal healthcare services accessible to vulnerable group? A study among women with disabilities in rural Nepal

Background Studies report that vulnerable groups like people with disabilities have less access to healthcare. This study compares health service access between women with and without disabilities in general and explores the challenges encountered by women with disabilities in accessing maternal healthcare services during pregnancy. Methods A mixed method study was conducted in Rupandehi district of Nepal implementing a cross-sectional survey among 354 women including 79 women with disabilities, supplemented by 43 in-depth interviews. Descriptive and bivariate statistical analysis of quantitative data using Pearson’s Chi-square test for association was carried out, while qualitative data were analysed following the theme content analysis using a framework approach. Results The vast majority of women from both groups, women with and without disabilities (71% vs 74%) reported that the nearest health facility from their location was more than 30 minutes walking distance (P>0.05). Half of the women with disabilities walked to health facilities for ANC check-ups. Over one-third of women without disabilities and a slightly lesser proportion of women with disabilities (29%) used a low-cost means of transport (rikshaw, bi/tri-cycles) (P>0.05). Distribution of health facilities found uneven and poorly linked with road transport facilities. None of the health facilities accommodated the needs of women with disabilities with accessible buildings and convenient opening time. The travel cost and the extra cost of services, staff shortage, often delayed and inadequate drug supplies were common problems for both women with and without disabilities. Unavailability of beds during delivery, insensitive providers with negative attitudes and abusive behaviour, inadequate knowledge and experience in providing services to the people with disabilities as well as unwelcoming health facility environment made services particularly inaccessible to women with disabilities. Conclusion Maternal healthcare services are not easily and equitably accessible to women with disabilities. To increase access to healthcare for this vulnerable group, improvements are needed in distribution and management of resources from transportation through service delivery, as well as improved provider knowledge and awareness of a human rights approach to disability and health.
Non-invasive Thermal Resistance Measurement for GaN Wafer Process Control and Optimization

Heteroepitaxial GaN-based devices have transformed electronic and optoelectronic applications, although the potentially significant effective boundary resistance (TBReff), which exists between the GaN layer and substrate (e.g. SiC, Si, diamond), can poses major heat transport bottleneck. It would be advantageous to be able to measure the TBReff of bare wafers non-destructively, enabling wafer mapping for defect screening before device fabrication, or the reduction of TBReff through growth parameter tuning, although this has not been possible using conventional techniques. A method has recently been developed for performing transient thermoreflectance (TTR) measurements without modifying the surface of GaN wafers: Above-bandgap pump and probe lasers are used to heat and monitor the GaN surface temperature directly; the latter exploits the temperature dependent Fresnel reflection (refractive index contrast). We demonstrate that this generic TTR technique can be applied to thermal resistance measurements of GaN layers on various substrates, including SiC, Si and diamond, over a range of ambient temperatures.
Learning Plannable Representations with Causal InfoGAN

In recent years, deep generative models have been shown to 'imagine' convincing high-dimensional observations such as images, audio, and even video, learning directly from raw data. In this work, we ask how to imagine goal-directed visual plans – a plausible sequence of observations that transition a dynamical system from its current configuration to a desired goal state, which can later be used as a reference trajectory for control. We focus on systems with high-dimensional observations, such as images, and propose an approach that naturally combines representation learning and planning. Our framework learns a generative model of sequential observations, where the generative process is induced by a transition in a low-dimensional planning model, and an additional noise. By maximizing the mutual information between the generated observations and the transition in the planning model, we obtain a low-dimensional representation that best explains the causal nature of the data. We structure the planning model to be compatible with efficient planning algorithms, and we propose several such models based on either discrete or continuous states. Finally, to generate a visual plan, we project the current and goal observations onto their respective states in the planning model, plan a trajectory, and then use the generative model to transform the trajectory to a sequence of observations. We demonstrate our method on imagining plausible visual plans of rope manipulation.
SLC26A9 Gene Is Associated With Lung Function Response to Ivacaftor in Patients With Cystic Fibrosis

Ivacaftor is a drug used to treat cystic fibrosis (CF) patients carrying specific gating CFTR mutations. Interpatient variability in the lung response has been shown to be partly explained by rs7512462 in the Solute Carrier Family 26 Member 9 (SLC26A9) gene. In an independent and larger cohort, we aimed to evaluate whether SLC26A9 variants contribute to the variability of the lung phenotype and if they influence the lung response to ivacaftor. We genotyped the French CF Gene Modifier Study cohort (n = 4,840) to investigate whether SLC26A9 variants were involved in the lung phenotype heterogeneity. Their influence in the response to ivacaftor was tested in the 30 treated patients who met the inclusion criteria: older than 6 years of age, percent-predicted forced expiratory volume measured in 1 s (FEV1pp) in the 3 months before treatment initiation ranging between 40 and 90%. Response to treatment was determined by the change in FEV1pp from baseline, averaged in 15–75 days, and the 1st-year post-treatment. We observed that SLC26A9 variants were not associated with lung function variability in untreated patients and that gain of lung function in patients treated with ivacaftor was similar to clinical trials. We confirmed that rs7512462 was associated with variability in ivacaftor-lung response, with a significant reduction in lung function improvement for patients with the C allele. Other SLC26A9 SNPs also contributed to the ivacaftor-response. Interindividual variability in lung response to ivacaftor is associated with SLC26A9 variants in French CF patients. Pharmacogenomics and personalized medicine will soon be part of CF patient care.
Impact of Ships and Ocean Fronts on Coastal Sea Surface Wind Measurements From the Advanced Scatterometer

In this paper, the capability of the advanced scatterometer (ASCAT) in measuring surface wind speed in coastal waters of China was first evaluated by comparing with in situ wind observations from 13 moored buoys during the period from July 2013 to December 2015. The scatterometer performs well in most coastal regions of China. However, a sharp reduction in wind speed retrieval accuracy is found in areas adjacent to the Yangtze River estuary. The mean bias and root-mean-square error between ASCAT wind speeds and buoy measurements reach up to 3.44 and ${\text{4.06 m}}\cdot {\text{s}}^{- 1}$, respectively. This large overestimation of surface wind is also observed in Sentinel-1A synthetic aperture radar (SAR) derived wind speeds. The analysis of quasi-synchronous SAR images and sea surface temperature observations shows that the overestimation of the scatterometer or SAR winds is mainly caused by the effects of ships or ocean thermal fronts due to the complicated thermodynamic and hydrodynamic characteristics of the study area on radar backscatter signal. These effects should be taken into account or marked as flags in activities generating or using scatterometer or SAR wind products.
SGLT2 Inhibitors in Combination Therapy: From Mechanisms to Clinical Considerations in Type 2 Diabetes Management

The progressive nature of type 2 diabetes (T2D) requires practitioners to periodically evaluate patients and intensify glucose-lowering treatment once glycemic targets are not attained. With guidelines moving away from a one-size-fits-all approach toward setting patient-centered goals and allowing flexibility in choosing a second-/third-line drug from the growing number of U.S. Food and Drug Administration–approved glucose-lowering agents, keen personalized management in T2D has become a challenge for health care providers in daily practice. Among the newer generation of glucose-lowering drug classes, sodium–glucose cotransporter 2 inhibitors (SGLT2is), which enhance urinary glucose excretion to lower hyperglycemia, have made an imposing entrance to the T2D treatment armamentarium. Given their unique insulin-independent mode of action and their favorable efficacy–to–adverse event profile and given their marked benefits on cardiovascular-renal outcome in moderate-to-high risk T2D patients, which led to updates of guidelines and product monographs, the role of this drug class in multidrug regimes is promising. However, despite many speculations based on pharmacokinetic and pharmacodynamic properties, physiological reasoning, and potential synergism, the effects of these agents in terms of glycemic and pleiotropic efficacy when combined with other glucose-lowering drug classes are largely understudied. In this perspective, we review the currently emerging evidence, discuss prevailing hypotheses, and elaborate on necessary future studies to clarify the potential risks and benefits of using an SGLT2i in dual combination with metformin and triple combination with a glucagon-like peptide 1 receptor agonist, dipeptidyl peptidase 4 inhibitor, or other glucose-lowering agent that is recommended by the American Diabetes Association and European Association for the Study of Diabetes (i.e., a sulfonylurea, thiazolidinedione, or insulin) to treat patients with T2D.
Self-efficacy for medication management: a systematic review of instruments

Background Medication self-efficacy is a potentially important construct in research around optimal use of prescription medications. A number of medication self-efficacy measures are available; however, there is no systematic review of existing instruments and cataloguing of their theoretical underpinnings or psychometric properties, strengths, and weaknesses. The aim of the study was to identify instruments that measure self-efficacy for medication management. The study also aimed to examine the quality, theoretical grounding, and psychometric evaluation of existing measures of self-efficacy for medication management. The study was a systematic review. Methods Data were extracted from PubMed, OVID, and MEDLINE using a predefined search strategy. Citations were included if they reported the development and/or psychometric evaluation of an instrument to measure self-efficacy for medication management and were in English. Abstracts were screened for studies potentially meeting eligibility criteria. Full articles of these studies were then reviewed in depth. The review was carried out independently by two members of the research team. Results The search identified 158 citations of which 12 were included after screening. Full review identified 3 articles fitting inclusion criteria for the review. Generally, development was theoretically grounded and included patients and experts in the field. Psychometric testing showed evidence of internal consistency (2/3 instruments) and test–retest reliability (1/3 instruments). All instruments showed some validity; however, assessment of all forms of validity for each instrument was lacking. Conclusion Although our analysis would recommend the use of the Self-Efficacy for Appropriate Medication Use Scale because of the current evidence of validity and reliability, more psychometric evaluation is required, particularly in terms of responsiveness to change as self-efficacy is a malleable patient-level factor. Three measures of self-efficacy for medication management were identified. Overall, some evidence of reliability and/or validity was demonstrated for all instruments; however, other forms of validity were not tested (ie, responsiveness to change). Use of a well-validated measure of self-efficacy medication management is essential in order to understand relationships between medication self-efficacy and other patient-reported outcomes such as patient-centeredness, patient enablement, and burden of treatment, an important area of research that is currently lacking.
Targeted metabolomic approach in men with carotid plaque

Background The aim of the study was to analyse the presence of several metabolites related to atherosclerosis in the plasma of patients with unstable carotid plaque and in the plasma of healthy subjects. Materials and methods We included 20 patients who had undergone carotid endarterectomy and 20 healthy subjects as a control group. All the subjects recruited were male. We used a metabolomic approach with liquid chromatography coupled to mass spectrometry to evaluate plasma metabolite levels in the metabolic pathway involved in the progression of atherosclerotic plaque. Results We observed that circulating levels of 20-HETE were significantly higher in patients with atheroma plaque than in healthy subjects (p = 0.018). No differences were found with regard to the other metabolites analysed. We also conducted a random forest analysis and found that 20-HETE was the main differentiator in the list of selected metabolites. In addition, plasma levels of 20-HETE correlated positively with body mass index (r = 0.427, p = 0.007) and diastolic blood pressure (r = 0.365, p = 0.028). Conclusion This study confirms that of all the molecules studied only 20-HETE is related to carotid plaque. Further studies are needed to compare patients with stable carotid plaque vs. patients with unstable carotid plaque in order to confirm that 20-HETE could be a potential factor related to carotid plaque.
Racing in Hyperspace: Closing Hyper-Threading Side Channels on SGX with Contrived Data Races

In this paper, we present HYPERRACE, an LLVM-based tool for instrumenting SGX enclave programs to eradicate all side-channel threats due to Hyper-Threading. HYPERRACE creates a shadow thread for each enclave thread and asks the underlying untrusted operating system to schedule both threads on the same physical core whenever enclave code is invoked, so that Hyper-Threading side channels are closed completely. Without placing additional trust in the operating system's CPU scheduler, HYPERRACE conducts a physical-core co-location test: it first constructs a communication channel between the threads using a shared variable inside the enclave and then measures the communication speed to verify that the communication indeed takes place in the shared L1 data cache—a strong indicator of physical-core co-location. The key novelty of the work is the measurement of communication speed without a trustworthy clock; instead, relative time measurements are taken via contrived data races on the shared variable. It is worth noting that the emphasis of HYPERRACE's defense against Hyper-Threading side channels is because they are open research problems. In fact, HYPERRACE also detects the occurrence of exception-or interrupt-based side channels, the solutions of which have been studied by several prior works.
Binaural Pitch Fusion: Effects of Amplitude Modulation

Hearing-impaired adults, including both cochlear implant and bilateral hearing aid (HA) users, often exhibit broad binaural pitch fusion, meaning that they fuse dichotically presented tones with large pitch differences between ears. The current study was designed to investigate how binaural pitch fusion can be influenced by amplitude modulation (AM) of the stimuli and whether effects differ with hearing loss. Fusion ranges, the frequency ranges over which binaural pitch fusion occurs, were measured in both normal-hearing (NH) listeners and HA users with various coherent AM rates (2, 4, and 8 Hz); AM depths (20%, 40%, 60%, 80%, and 100%); and interaural AM phase and AM rate differences. The averaged results show that coherent AM increased binaural pitch fusion ranges to about 2 to 4 times wider than those in the unmodulated condition in both NH and bilateral HA subjects. Even shallow temporal envelope fluctuations (20% AM depth) significantly increased fusion ranges in all three coherent AM rate conditions. Incoherent AM introduced through interaural differences in AM phase or AM rate led to smaller increases in binaural pitch fusion range compared with those observed with coherent AM. Significant differences between groups were observed only in the coherent AM conditions. The influence of AM cues on binaural pitch fusion shows that binaural fusion is mediated in part by central processes involved in auditory grouping.