138 research outputs found
Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction
Combining persistent memory (PM) with RDMA is a promising approach to
performant replicated distributed key-value stores (KVSs). However, existing
replication approaches do not work well when applied to PM KVSs: 1) Using RPC
induces software queueing and execution at backups, increasing request latency;
2) Using one-sided RDMA WRITE causes many streams of small PM writes, leading
to severe device-level write amplification (DLWA) on PM. In this paper, we
propose Rowan, an efficient RDMA abstraction to handle replication writes in PM
KVSs; it aggregates concurrent remote writes from different servers, and lands
these writes to PM in a sequential (thus low DLWA) and one-sided (thus low
latency) manner. We realize Rowan with off-the-shelf RDMA NICs. Further, we
build Rowan-KV, a log-structured PM KVS using Rowan for replication. Evaluation
shows that under write-intensive workloads, compared with PM KVSs using RPC and
RDMA WRITE for replication, Rowan-KV boosts throughput by 1.22X and 1.39X as
well as lowers median PUT latency by 1.77X and 2.11X, respectively, while
largely eliminating DLWA.Comment: Accepted to OSDI 202
Identification of Apo-A1 as a biomarker for early diagnosis of bladder transitional cell carcinoma
<p>Abstract</p> <p>Background</p> <p>Bladder transitional cell carcinoma (BTCC) is the fourth most frequent neoplasia in men, clinically characterized by high recurrent rates and poor prognosis. Availability of urinary tumor biomarkers represents a convenient alternative for early detection and disease surveillance because of its direct contact with the tumor and sample accessibility.</p> <p>Results</p> <p>We tested urine samples from healthy volunteers and patients with low malignant or aggressive BTCC to identify potential biomarkers for early detection of BTCC by two-dimensional electrophoresis (2-DE) coupled with mass spectrometry (MS) and bioinformatics analysis. We observed increased expression of five proteins, including fibrinogen (Fb), lactate dehydrogenase B (LDHB), apolipoprotein-A1 (Apo-A1), clusterin (CLU) and haptoglobin (Hp), which were increased in urine samples of patients with low malignant or aggressive bladder cancer. Further analysis of urine samples of aggressive BTCC showed significant increase in Apo-A1 expression compared to low malignant BTCC. Apo-A1 level was measured quantitatively using enzyme-linked immunosorbent assay (ELISA) and was suggested to provide diagnostic utility to distinguish patients with bladder cancer from controls at 18.22 ng/ml, and distinguish patients with low malignant BTCC from patients with aggressive BTCC in two-tie grading system at 29.86 ng/ml respectively. Further validation assay showed that Apo-A1 could be used as a biomarker to diagnosis BTCC with a sensitivity and specificity of 91.6% and 85.7% respectively, and classify BTCC in two-tie grading system with a sensitivity and specificity of 83.7% and 89.7% respectively.</p> <p>Conclusion</p> <p>Taken together, our findings suggest Apo-A1 could be a potential biomarker related with early diagnosis and classification in two-tie grading system for bladder cancer.</p
UPPRESSO: Untraceable and Unlinkable Privacy-PREserving Single Sign-On Services
Single sign-on (SSO) allows a user to maintain only the credential at the
identity provider (IdP), to login to numerous RPs. However, SSO introduces
extra privacy threats, compared with traditional authentication mechanisms, as
(a) the IdP could track all RPs which a user is visiting, and (b) collusive RPs
could learn a user's online profile by linking his identities across these RPs.
This paper proposes a privacypreserving SSO system, called UPPRESSO, to protect
a user's login activities against both the curious IdP and collusive RPs. We
analyze the identity dilemma between the security requirements and these
privacy concerns, and convert the SSO privacy problems into an identity
transformation challenge. In each login instance, an ephemeral pseudo-identity
(denoted as PID_RP ) of the RP, is firstly negotiated between the user and the
RP. PID_RP is sent to the IdP and designated in the identity token, so the IdP
is not aware of the visited RP. Meanwhile, PID_RP is used by the IdP to
transform the permanent user identity ID_U into an ephemeral user
pseudo-identity (denoted as PID_U ) in the identity token. On receiving the
identity token, the RP transforms PID_U into a permanent account (denoted as
Acct) of the user, by an ephemeral trapdoor in the negotiation. Given a user,
the account at each RP is unique and different from ID_U, so collusive RPs
cannot link his identities across these RPs. We build the UPPRESSO prototype on
top of MITREid Connect, an open-source implementation of OIDC. The extensive
evaluation shows that UPPRESSO fulfills the requirements of both security and
privacy and introduces reasonable overheads
Pseudogap, Superconducting Energy Scale, and Fermi Arcs in Underdoped Cuprate Superconductors
Through the measurements of magnetic field dependence of specific heat in
in zero temperature limit, we determined the nodal slope
of the quasiparticle gap. It is found that has a very
similar doping dependence of the pseudogap temperature or value
. Meanwhile the virtual maximum gap at () derived from
is found to follow the simple relation upon
changing the doping concentration. This strongly suggests a close relationship
between the pseudogap and superconductivity. It is further found that the
superconducting transition temperature is determined by both the residual
density of states of the pseudogap phase and the nodal gap slope in the zero
temperature limit, namely, , where
is the extracted zero temperature value of the normal state
specific heat coefficient which is proportional to the size of the residual
Fermi arc . This manifests that the superconductivity may be formed by
forming a new gap on the Fermi arcs near nodes below . These observations
mimic the key predictions of the SU(2) slave boson theory based on the general
resonating-valence-bond (RVB) picture.Comment: 6 pages, 6 figures, to be published in Phys. Rev.
Vibrotactile Warnings Design for Improving Risks Awareness in Construction Environment
Construction workers have difficulty identifying potential risks in harsh environments because traditional visual and acoustical alerts are inefficient. This study investigated a new communication method with a wearable tactile-based system to improve worker’s hazard perception. Three experiments are reported in relation to this system. The first experiment exploited VR as an experimental tool to compare auditory and vibrotactile warning signals as well as their combination in a simulated construction working environment. Findings demonstrated that the vibrotactile cues induced faster response times and higher affective ratings than auditory alarms, and their combination provided the shortest reaction time. The second experiment compared 7 different vibrotactile patterns varying in intensity, duration, and interval, to identify configurations that led to a higher degree of awareness. The third experiment validated the effectiveness of three selected tactons for delivering information on 3 hazard levels, finding that subjects could identify three-parameter signals with relatively low error. Our findings provide guidelines for designing tactile warning signals, which could help improve hazard recognition and risk perception, especially in construction sites
Scalable Generation of Universal Platelets from Human Induced Pluripotent Stem Cells
Summary Human induced pluripotent stem cells (iPSCs) provide a potentially replenishable source for the production of transfusable platelets. Here, we describe a method to generate megakaryocytes (MKs) and functional platelets from iPSCs in a scalable manner under serum/feeder-free conditions. The method also permits the cryopreservation of MK progenitors, enabling a rapid “surge” capacity when large numbers of platelets are needed. Ultrastructural/morphological analyses show no major differences between iPSC platelets and human blood platelets. iPSC platelets form aggregates, lamellipodia, and filopodia after activation and circulate in macrophage-depleted animals and incorporate into developing mouse thrombi in a manner identical to human platelets. By knocking out the β2-microglobulin gene, we have generated platelets that are negative for the major histocompatibility antigens. The scalable generation of HLA-ABC-negative platelets from a renewable cell source represents an important step toward generating universal platelets for transfusion as well as a potential strategy for the management of platelet refractoriness
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Modeling the mitochondrial cardiomyopathy of Barth syndrome with iPSC and heart-on-chip technologies
Studying monogenic mitochondrial cardiomyopathies may yield insights into mitochondrial roles in cardiac development and disease. Here, we combine patient-derived and genetically engineered iPSCs with tissue engineering to elucidate the pathophysiology underlying the cardiomyopathy of Barth syndrome (BTHS), a mitochondrial disorder caused by mutation of the gene Tafazzin (TAZ). Using BTHS iPSC-derived cardiomyocytes (iPSC-CMs), we defined metabolic, structural, and functional abnormalities associated with TAZ mutation. BTHS iPSC-CMs assembled sparse and irregular sarcomeres, and engineered BTHS “heart on chip” tissues contracted weakly. Gene replacement and genome editing demonstrated that TAZ mutation is necessary and sufficient for these phenotypes. Sarcomere assembly and myocardial contraction abnormalities occurred in the context of normal whole cell ATP levels. Excess levels of reactive oxygen species mechanistically linked TAZ mutation to impaired cardiomyocyte function. Our study provides new insights into the pathogenesis of Barth syndrome, suggests new treatment strategies, and advances iPSC-based in vitro modeling of cardiomyopathy
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