Success Rate Of Recovery Research Articles

Differential role of a persistent seed bank for genetic variation in early vs. late successional stages.

Persistent seed banks are predicted to have an important impact on population genetic processes by increasing effective population size and storing past genetic diversity. Accordingly, persistent seed banks may buffer genetic effects of disturbance, fragmentation and/or selection. However, empirical studies surveying the relationship between aboveground and seed bank genetics under changing environments are scarce. Here, we compared genetic variation of aboveground and seed bank cohorts in 15 populations of the partially cleistogamous Viola elatior in two contrasting early and late successional habitats characterized by strong differences in light-availability and declining population size. Using AFLP markers, we found significantly higher aboveground than seed bank genetic diversity in early successional meadow but not in late successional woodland habitats. Moreover, individually, three of eight woodland populations even showed higher seed bank than aboveground diversity. Genetic differentiation among populations was very strong (фST = 0.8), but overall no significant differentiation could be detected between above ground and seed bank cohorts. Small scale spatial genetic structure was generally pronounced but was much stronger in meadow (Sp-statistic: aboveground: 0.60, seed bank: 0.32) than in woodland habitats (aboveground: 0.11; seed bank: 0.03). Our findings indicate that relative seed bank diversity (i.e. compared to aboveground diversity) increases with ongoing succession and despite decreasing population size. As corroborated by markedly lower small-scale genetic structure in late successional habitats, we suggest that the observed changes in relative seed bank diversity are driven by an increase of outcrossing rates. Persistent seed banks in Viola elatior hence will counteract effects of drift and selection, and assure a higher chance for the species’ long term persistence, particularly maintaining genetic variation in declining populations of late successional habitats and thus enhancing success rates of population recovery after disturbance events.

A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing.

The sampling rate of wideband spectrum sensing for sparse signals can be reduced by sub-Nyquist sampling with a Modulated Wideband Converter (MWC). In collaborative spectrum sensing, the fusion center recovers the spectral support from observation and measurement matrices reported by a network of CRs, to improve the precision of spectrum sensing. However, the MWC has a very high hardware complexity due to its parallel structure; it sets a fixed threshold for a decision without considering the impact of noise intensity, and needs a priori information of signal sparsity order for signal support recovery. To address these shortcomings, we propose a progressive support selection based self-adaptive distributed MWC sensing scheme (PSS-SaDMWC). In the proposed scheme, the parallel hardware sensing channels are scattered on secondary users (SUs), and the PSS-SaDMWC scheme takes sparsity order estimation, noise intensity, and transmission loss into account in the fusion center. More importantly, the proposed scheme uses a support selection strategy based on a progressive operation to reduce missed detection probability under low SNR levels. Numerical simulations demonstrate that, compared with the traditional support selection schemes, our proposed scheme can achieve a higher support recovery success rate, lower sampling rate, and stronger time-varying support recovery ability without increasing hardware complexity.

Compare the Effects of Epinephrine and Vasopressin in Return of Spontaneous Circulation

Background: There is a conflict in the superiority of each of the vasopressin and epinephrine compared to the other. Vasopressin has a vasoconstrictive action that results in an increase of the coronary perfusion pressure. Due to the expensive and sometimes scarce of vasopressin in most hospitals, this study aims to evaluate the response rate of vasopressin compared with epinephrine, in return of ROSC. Methods: In this descriptive-analytical study all patients in the emergency medicine department were enrolled in the study suffered a cardiopulmonary arrest and resuscitation will be done instantly for them (According to the guidelines AHA 2010). Their data were extracted from the hospital records and the success rate of recovery, 3-month survival and complications in patients recovering from the drug used during the CPR were analyzed. Results: A total of 61 patients record were analyzed. 31 patients had received epinephrine alone and 30 patients received a combination of epinephrine and vasopressin. No significant difference was observed between the two groups in terms of sex, sepsis, hypovolemia, renal failure, cancers, drug toxicity, brady, dysrhythmia, PEA, VT, VF, defibrillator, duration of CPR and three month outcome. The mean time of CPR in combination of epinephrine and vasopressin group was 27.26±12.72 and the mean time of CPR in epinephrine group was 27.24±13.510 (p-value= 0.99).Conclusion: Among patients with in-hospital cardiopulmonary arrest in this study no statistically significant difference was obtained between the results of treatment with epinephrine alone and combination of epinephrine and vasopressin.

Comparison of viral elution-concentration methods for recovering noroviruses from deli meats

This study aimed to assess viral elution-concentration methods for recovering noroviruses from deli meats. Spiking experiments were conducted to evaluate the recovery success rates and recovery efficiencies of human norovirus (NoV) GI and GII and murine norovirus 1 (MNV-1) using polyethylene glycol (PEG 6000) precipitation, skimmed milk flocculation (SMF), TRIzol® reagent, and a combination of PEG/TRIzol® and SMF/TRIzol® methods. Molecular analysis using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) revealed TRIzol® as the best method to be used for viral recovery from ham with medium recovery rates of 37.6% for NoV GI and 50.1% for NoV GII. Viral recovery from turkey meat showed medium recovery rates of 14.4% for NoV GI and 8.9% for NoV GII. For MNV-1, the rates varied from 0.5% to 80.8% not only according to the matrix but also with the associated virus and its inoculum (NoV GI or GII). The monitoring of commercial samples obtained in the Great Metropolitan region of Rio de Janeiro in order to demonstrate the occurrence of NoV GI and GII contamination in both matrices was also performed in 60 samples. NoV GI or GII were not detected in any samples, while MNV-1 used as the sample process control viruswas successfully recovered in 100% of samples.

Sparse radar imaging based on <italic>L</italic><sub>1/2</sub> regularization theory

Sparse radar imaging seeks to provide high-performance radar imaging technique for observed scenes by using L 1/2 regularization method. This article surveys our systematic explorations and innovative practices for tackling such problem. The key contributions include a new sparse radar imaging theory based on L 1/2 regularization theory, a new sparse radar imaging model based on echo simulation operator, a new sparse radar imaging system evaluate approach based on 3D phase diagram. The synthetic aperture radar (SAR) imaging can be formulated as a L 1/2 regularization problem, which optimizes a quadratic error term of radar imaging. The method can implement SAR imaging effectively at lower sampling rates than Nyquist rate and produce higher quality images with reduced sidelobes. Echo simulation operator is constructed to generate SAR raw data by means of inverse of matched filter-based imaging procedure, instead of the exact observation matrix. The echo simulation operator based model forms a new radar imaging method, which reduces the computational complexity and memory occupation to the same order as matched filter imaging algorithm, and hence, makes L 1/2 regularization reconstruction of large-scale considered scene become possible. 3D phase diagram is employed to analyze and evaluate the performance of sparse radar imaging system. In 3D phase diagram, success rates of signal recovery can be derived from the statistics of relative errors between the ground truth and the recovered signals. The success rates for each combination of SNR, sparsity and sampling ratio are provided to form a three-dimensional phase diagram. The trend of success rates is presented accurately by taking advantage of 3D phase transition boundary. We design the sparse radar prototype and conduct a series of airborne experiments, which demonstrate the applicability and potentials of the sparse radar imaging. 3D phase diagram is used to evaluate the relationship between reconstruction performance and signal-to- noise ratio. The experimental results verity the effectiveness of the L 1/2 regularization method and the feasibility of 3D phase diagram. The sparse radar imaging based on L 1/2 regularization has promising application prospects. Firstly, it could be generalized to deal with 3D-SAR imaging, which achieves better flexibility for system design and super-resolution capability of height dimension for reconstruction property. Then, we review some of the most popular techniques to exploit sparsity, for recovering high-dimensional matrices and higher order tensors from compressive measurements, and further emphasize the broad application prospects of higher order compressive sensing in 3D-SAR imaging.

Public performance reporting and hospital choice: a cross-sectional study of patients undergoing cancer surgery in the Australian private healthcare sector

ObjectivesNational mandatory public performance reporting (PPR) for Australian public hospitals, including measures of cancer surgery waiting times, was introduced in 2011. PPR is voluntary for private hospitals. The aims of...

APA Part of AAAP Coalition to Expand Opioid Treatment

Back to table of contents Previous article Next article Professional NewsFull AccessAPA Part of AAAP Coalition to Expand Opioid TreatmentLinda RichmondLinda RichmondSearch for more papers by this authorPublished Online:23 Feb 2018https://doi.org/10.1176/appi.pn.2018.3a28AbstractLater this spring, APA will launch 12-week online learning collaboratives to train a range of SUD treatment providers.APA is part of a broad coalition of 22 national health care associations that were awarded a $12 million grant by the Substance Abuse and Mental Health Services Administration to expand the availability of treatment for opioid use disorder (OUD). Leading the coalition is the American Academy of Addiction Psychiatry (AAAP). About 2.4 million Americans have OUD, but less than half of counties offer medication-assisted treatment (MAT) and counseling services, which together have been shown to boost successful recovery rates for these individuals, AAAP said. In fact, only a small proportion of primary care providers certified to prescribe MAT therapies offer such treatment to their patients. The grant will support the efforts of the State Technical Assistance Team Education and Support (STATES) Consortium, which is an alliance of physicians, other medical professionals, and public and behavioral health organizations that are combining forces to address the opioid epidemic. The STATES Consortium is working to boost the number of health care professionals who are experienced in OUD prevention and recovery and certified to prescribe the three FDA-approved medications for its treatment: buprenorphine, methadone, and naltrexone.The initiative is needed because many underserved and rural areas do not have addiction specialists available to treat patients with OUD or a substance use disorder (SUD), so other health care professionals need to learn these skills, too, explained Jane Goodger, outreach and communications coordinator at AAAP. “Primary care providers may not feel as comfortable or confident or may not have the skillset to treat these patients,” Goodger said. “With this grant, we want to ensure everyone within the health care system understands evidence-based practices for substance use disorder treatment and uses a holistic approach. It’s not just writing a prescription; it’s finding out why this person has an opioid use disorder and figuring out how we can make sure he or she stays in treatment.” As one of the participating organizations, APA will receive about $220,000 to promote the initiative to members and launch 32 online learning collaboratives across the country. Over the next two years, the collaboratives will train a range of medical professionals on how to implement evidence-based treatment programs for people with OUD as well as other SUDs. The 12-week collaboratives will focus on skill development and overcoming barriers specific to their region or area of specialty.Each collaborative will be created around a specific region or topic, such as telepsychiatry, the creation of a MAT delivery system from the ground up, and state and federal SUD policy. Another will work with child and adolescent SUD treatment professionals. At least one of the collaboratives will work with directors and instructors who help train medical students and residents. “If we can get our faculty and residents more skilled in teaching about the treatment of substance use disorders, then we can impact the workforce early,” said Tristan Gorrindo, M.D., director of APA’s Division of Education. Participants will complete a project as part of the 12-week programs, and they will earn continuing medical education credits. Each collaborative will have a professional facilitator, discussion boards, and call-in hours during which the group can gather in real time to work on issues. The first collaborative will be launched later this spring. Some organizations partnering in the coalition along with APA include the AMA, American Academy of Family Physicians, National Council for Behavioral Health, and National Association of Community Health Centers. ■More information about the grant is available by visiting AAAP or calling AAAP’s Jane Goodger at (401) 490-0522. More information on registering for a collaborative will appear in a future issue of Psychiatric News. ISSUES NewArchived

Modeling dynamic service recovery strategies: a signaling game approach

PurposeThe purpose of this study is to establish a comprehensive service recovery mechanism by analyzing different behaviors of customers with different personality traits after service failures and by proposing different service recovery measures that service providers could adopt based on diverse customer personality traits.Design/methodology/approachThis paper constructs a service recovery mechanism based on a signaling game theory by considering customers and service providers as two players in the game and analyzing possible outcomes under both separating and pooling equilibria to achieve an optimized strategy and set of actions that allow the highest payoffs for both service providers and customers.FindingsThis study successfully simulated the separating equilibrium and pooling equilibrium between service providers and customers in a signaling game with incomplete information. It also provides a reference for service providers to design service recovery strategies after service failures. By using this model, when facing problems related to service failures and service recovery, service providers will have a better chance of increasing the service recovery success rate, improving customer satisfaction and achieving optimal payoffs for both themselves and their customers.Originality/valueBased on concepts of service science, this study designed a service recovery mechanism by applying the signaling game from game theory and introducing personality traits theory to the service recovery scenario so that service providers are able to execute service recovery after service failures more effectively. This study proposed a service recovery mechanism based on the perspectives of both service providers and customers, considering the mutual influence of key variables related to both of them, as well as the context of service failures, customers’ personality traits and service providers’ available resources. Many studies have applied personality traits to different fields; however, to the best of authors’ knowledge, few studies have applied this concept to service-related subjects, and only the influence of employees’ personality traits on service providers has been discussed.

Meta-analysis of the effects between endotracheal intubation and laryngeal mask airway for patients with out-of-hospital cardiac arrest

To comprehensively evaluate the resuscitation effect of endotracheal intubation (ETI) ventilation and laryngeal mask airway (LMA) for out-of-hospital cardiac arrest (OHCA). Databases such as Cochrane Library, PubMed, Embase, Ebsco, Elsevier, OVID, Springer, Proquest, and China biomedical literature database (CBMdisc), CNKI, Wanfang database, Chinese Science and Technology Journal Full-text Database, VIP Chinese biomedical journal database were searched from the establishment of literature database to December 2017 to study the difference of effects between ETI and LMA for patients with OHCA. The effect determination indexes included the return of spontaneous circulation (ROSC) rate, 1-month survival and 1-month neurological recovery. After evaluation of the quality of included studies and extraction of the data, the software of RevMan 5.3 was used to analyze those outcomes. A total of 9 articles, including 7 English, 2 Chinese; 5 prospective studies and 4 retrospective studies were included. All of the literatures had high quality, and the Newcastle Ottawa scale (NOS) scored 7-9 points. The Meta-analysis showed that ETI was significantly more beneficial than LMA in improving the rate of ROSC [odds ratio (OR) = 1.51, 95% confidence interval (95%CI) = 1.42-1.62, Z = 12.35,P < 0.01], and 1-month survival (OR = 1.16, 95%CI = 1.06-1.26, Z = 3.41, P < 0.01), and there was no significant difference in 1-month neurological recovery (OR = 1.13, 95%CI = 0.96-1.32, Z = 1.49, P = 0.14). ETI has higher recovery success rate and survival rate than LMA for the rescue of OHCA adult patients, but the improvement of the nervous system is unclear.

Success Rates of Recovering Dispersed Bones among Leaf Litter

Many outdoor forensic scenes are located in forested areas, and these often require searching through leaf litter to find locally dispersed skeletal remains. Little is known about success rates when processing a scene in this manner, in comparison with previous research on success rates of bone recovery from screening excavated sediments through different size meshes. In order to test recovery rates when searching through leaf litter, ten simulated outdoor scenes sown with disperesed, skeltonized, older juvenile pig ( Sus scrofa) bones of different types were processed in succession. All bones had variable brown staining from previous decomposition and burial to include the effects of natural camouflaging typical to forensic scenes in this envrionment. Their sizes were comparable to intact human juvenile reamins or partial adult remains, with some overlap with adult human remains. Procession was executed through a hand-and-knee crawl while picking through all leaf litter by hand and dumping it off-site, leaving behind topsoil with all discovered bones makred by pin flags. Recovery rates ranged from 68.1% to 81.9% per trail, with an overall recovery rate of 76.7% ( n =853 elements). Significiant differences in recovery rate based upon bone size category were noted, and a significant downward trend for recovery rates was noted over time, indicating that cumulative searcher fatigue may have played a role. Forensic archaeologists are cautioned that full recovery cannot be assumed in these situations. Careful searching by hand is recommended to mitigate the loss of evidence and should be integrated into all forensic search protocols.

An evaluation of the performance of DNA recovery from fired firearms and cartridge cases using microdialysis filtration

DNA recovery from firearm, ammunition, or cartridge case had been shown to be crucial forensic tools to identify the person(s) responsible for firing them. However, owing to minimal amounts, inhibited, and degraded by high temperature during the fire, successfully recovered DNA from these evidence always get into trouble. This study focused on the success rates of DNA recovery from different locations of department-issued handguns that handled during the process of loading and firing, as well as that from ejected cartridge cases, and unspent cartridges. In order to better simulate actual casework, random individuals handling each step with normal rhythm. Double swab technique was used for DNA collection, and DNA from these items were extracted using standard Chelex-100 extraction methods. Alternatively, the supernatant from the former step were further concentrated and rinsed using Microcon centrifugal filter devices. STR analysis was conducted using the GlobalFiler® Amplification Kit. For all DNA recovered from fired firearms and cartridge cases, average of 1.4% of expected alleles were observed using the Chelex-100 methods versus the microdialysis filtration where an average of 16.2% of alleles. DNA recovery was most successful from two parts of the handguns: the slide serrations (26.2% of trials) and the magazine releases (25.0% of trials). An additional experiment was conducted to evaluate the effects of Gun Shot Residue (GSR) and lubricant which utilized for maintenance of gun on PCR inhibition. Contrary to previous similar test, we have hinted the best DNA collection areas using microdialysis filtration and the significant inhibited effect from lubricant.

QuickSwap: A Lightweight Fast Recovery Protocol for Mesh-based P2P Live Streaming

In this paper, we propose a failure recovery protocol named QuickSwap for mesh-based P2P live streaming systems. Unlike the existing mCache-based failure recovery scheme, QuickSwap enables peers to quickly recover their live streaming quality from neighbor failures by exchanging and pre-processing of local streaming information. Our contributions in this work are two-fold. First, QuickSwap’s lightweight streaminginformation exchange protocol together with the proposed neighbor maintenance and streaming-quality estimation methods provide a significant performance edge over the conventional mCache-based failure recovery. Second, we have built a system model for our proposal and have evaluated QuickSwap’s performance under different system settings through simulation methodology. Our results reveal that at a small, affordable overhead cost, QuickSwap protocol can support fast recovery of live streaming quality with a nearly 100% failure recovery success rate and a fail-over time less than one second for an average of exponentially distributed peer lifetimes as low as 10 minutes.

Reducing the Workload: Analysis of DNA Profiling Efficiency of Case Work Items

Due to the increased sensitivity of genotyping kits developed in recent years, laboratories were able to recover more usable information from smaller amounts of DNA on items of evidence (e.g., touch evidence). This led to increased submission of touch or trace DNA items, which in turn increased the overall workload (van Oorschot, Ballantyne, and Mitchell 2010 van Oorschot, R.A.H., K.N Ballantyne, and R.J. Mitchell. 2010. Fornsic trace DNA: a review. Investigative Genetics 1(14): 1–17.[PubMed] , [Google Scholar]).In this work, the data collected from approximately 650 cases and 2,000 evidence items was analyzed in order to study the work efficiency, to optimize evidence items processing and to give guidelines for reducing the workload. We examined three aspects: the DNA profiling efficiency for each item type; the number of samples required to obtain a DNA profile from an item; the number of items needed to be examined to obtain a database eligible profile for each case.To examine DNA profiling efficiency of various items, the productivity Index (PI) grade was calculated on a scale of 0–10 which measures the success rate and the amount of work required for DNA profiling. To the best of our knowledge, this is the first study that measures the combination of DNA profiling success rate and the work required to obtain it.Body fluids items (blood and saliva) were the most efficient biological sources for DNA profiling (PI 6) while clothing items were less efficient (PI 2.6). Touch items were the least efficient (PI 1.6).The successful recovery rate of a single source or a major DNA profile increased when items were sampled twice rather than once. No significant increase was obtained when items were sampled more than twice.Four to five items per case was found to be the optimal number of items to be tested in a case in order to reduce the workload and increase the number of DNA profiles included in the DNA database.

Nefrectomia total unilateral em cachorro-do-mato (Cerdocyon thous)

Background: The loss of natural habitats associated with the development of humanity resulted in the need for longer trips and greater interaction with highways by some animal species. Vehicle collision with animals is one of the main factors of pressure over wild animal populations in Brazil; veterinary surgery can play an important role for the recovery of these patients. The lesions commonly seen in animals hit by vehicles may comprise skin lesions, central nervous system injuries, intrathoracic and intra-abdominal complications, among which renal lesions are included. The aim of this work is to report the use of a total nephrectomy technique in a crab-eating fox.Case: A female, adult, 5-kg crab-eating fox (Cerdocyon thous Linnaeus, 1766) was received for emergency care at the Veterinary Hospital of Universidade Federal do Paraná at Palotina. The patient had been struck by a vehicle at a local highway, was unconscious, and exhibited signs of blood loss such as hypothermia, hypotension, and pale mucous membranes. As the clinical evaluation was performed, the patient was stabilized with pain management, correction of hypovolemia and hypothermia, and oxygen therapy. Blood samples were taken in case of the need for preoperative tests. Subsequently, the animal was submitted to the diagnostic imaging section to investigate possible injuries. No chemical restraint was necessary for the procedures. Radiography examination revealed loss of intra-abdominal contrast, which was confirmed to be free fluid on ultrasound examination. Immediately after imaging examination, the animal was taken to the surgical room for exploratory laparotomy. The surgical incision, which was performed over the linea alba, extended from the xiphoid process to the pubis. During surgery, free fluid was confirmed to be diffuse bloody fluid, which was observed in the abdomen; there was absence of lesions in all organs except the right kidney, which revealed clots and lacerations to the capsule, cortex, and medulla, resulting in poor viability of the organ. The condition required removal of the organ, which was performed with the conventional technique described for domestic animals. During the nephrectomy surgical procedure, the patient exhibited severe hypotension with the need of compensatory measures such as intravenous administration of crystalloid and colloid solutions, and vasoactive drugs, which were maintained during the period of surgery. Postoperative care included administration of analgesics and anti-inflammatory drugs for three days, and antibiotics for seven days. Hematological and renal profiles as well as ultrasound examinations were used for monitoring of clinical evolution. The patient was kept in isolation to avoid behavioral stress during hospital stay.Discussion: In this case, the importance of ultrasound diagnosis and viability of the nephrectomy technique were established for the specimen, which was returned to its natural habitat eighteen days after the vehicle collision, after authorization from the local environmental agency. Immediate care of a wild animal that suffers trauma is an important factor to increase success rate for recovery of fauna threatened by vehicle collisions. Early diagnosis associated with the employment of surgical techniques commonly used for domestic animals allow wild-animal clinicians and surgeons to improve viability of threatened populations.

Iterative &lt;em&gt;l&lt;/em&gt;&lt;sub&gt;1&lt;/sub&gt; Minimization for Non-Convex Compressed Sensing

An algorithmic framework, based on the difference of convex functions algorithm (DCA), is proposed for minimizing a class of concave sparse metrics for compressed sensing problems. The resulting algorithm iterates a sequence of $\ell_1$ minimization problems. An exact sparse recovery theory is established to show that the proposed framework always improves on the basis pursuit ($\ell_1$ minimization) and inherits robustness from it. Numerical examples on success rates of sparse solution recovery illustrate further that, unlike most existing non-convex compressed sensing solvers in the literature, our method always out-performs basis pursuit, no matter how ill-conditioned the measurement matrix is. Moreover, the iterative $\ell_1$ (IL$_1$) algorithm lead by a wide margin the state-of-the-art algorithms on $\ell_{1/2}$ and logarithimic minimizations in the strongly coherent (highly ill-conditioned) regime, despite the same objective functions. Last but not least, in the application of magnetic resonance imaging (MRI), IL$_1$ algorithm easily recovers the phantom image with just 7 line projections.

Initial Estimates on the Performance of the LSST on the Detection of Eclipsing Binaries

In this work, we quantify the performance of the Large Synoptic Survey Telescope (LSST) on the detection of eclipsing binaries. We use Kepler observed binaries to create a large sample of simulated pseudo-LSST binary light curves. From these light curves, we attempt to recover the known binary signal. The success rate of period recovery from the pseudo-LSST light curves is indicative of LSST's expected performance. Using an off-the-shelf analysis of variance routine, we successfully recover 71% of the targets in our sample. We examine how the binary period impacts recovery success and see that for periods longer than 10 days, the chance of successful binary recovery drops below 50%.

Transforming the SMV model into MMV model based on the characteristics of wavelet coefficients

Sparse signal recovery or compressed sensing (CS) theory has recently received attention in the image compression field. CS has proven that the successful recovery rate of the multiple measurement vectors (MMVs) model is higher than that of the single measurement vector (SMV) case. Most existing algorithms have focused on sparse signal recovery using the MMV model, without considering converting the general SMV model into the MMV model. In this study, a simple transforming model that takes advantage of the correlations among wavelet coefficients is proposed, such that the MMV model can be used for general images rather than only certain special signals. To further enhance the performance of the MMV model, the improved MMV model based on the similarity of image blocks is proposed. Simulation results have shown that the obtained solution matrix can be used in the MMV model, and that the proposed algorithm provides better reconstruction quality than many state-of-the-art algorithms.

Continuous-time signal recovery from 1-bit multiple measurement vectors

In this letter, the 1-bit compressive sensing (CS) technology is utilized to recover joint sparse signal. In the context of multi-bits quantization, compared to the single measurement vector (SMV) case, the successful recovery rate can be significantly improved using multiple measurement vectors (MMV) model. Therefore, we introduce the MMV model for signal recovery from 1-bit sampling. Due to the amplitude information loss using 1-bit quantizing, a new sampling framework is proposed to estimate the ℓ2-norm of each measurement vector for continuous-time signal, followed by the corresponding estimation algorithm 1-bit iterative hard thresholding (1-bit IHT). Then we develop the algorithm of binary IHT for MMV (M-BIHT) to recover joint sparse signal under uncertain noise. Compared to the 1-bit SMV model and multi-bits quantization MMV mode, the experimental results illustrate the recovery performance is improved greatly by the 1-bit MMV model.

Framingham Risk Score as a Prognostic Predictor of Sudden Sensorineural Hearing Loss: A Preliminary Study.

Predicting the prognosis of idiopathic sudden sensorineural hearing loss (ISSHL) remains challenging. This investigation aimed to apply Framingham Risk Scores (FRS) to assess the combination of prognostic factors following ISSHL and investigate the predictive role of FRS in patients with multiple comorbidities including hypertension, diabetes, and hyperlipidemia. Retrospective study. Twenty-one patients presenting with unilateral idiopathic sudden sensorineural hearing loss and multiple comorbidities were surveyed. Framingham Risk Score was calculated, and patients were assigned into high-risk (FRS ≥20%) and low-risk (FRS <20%) groups. Mean pure tone audiometry (PTA) threshold of both groups and hearing outcomes following established criteria were investigated. All patients were treated with the same protocol of oral methylprednisolone. Overall successful recovery rate (complete + marked recovery) was 23.81%. The mean PTA threshold of the low-risk group showed significant improvement (mean PTA ± standard error, SE: pretreatment, 73.23 ± 11.80; posttreatment, 54.89 ± 10.25, P = .002), while the high-risk group did not show significant improvement in mean PTA threshold (mean PTA ± SE: pretreatment, 71.94 ± 11.77; posttreatment, 68.89 ± 12.81, P = .73). Framingham Risk Scores may be useful in predicting outcomes for ISSHL patients with multiple comorbidities.

CDNPatch: a cost‐effective failover mechanism for hybrid CDN‐P2P live streaming systems

SummaryAmong the most well‐established live media distribution technologies is content delivery network (CDN), which improves user‐perceived quality of service by delivering content from proxy servers deployed at the Internet's edge. In recent years, CDN providers started to tap into their subscribers' peer‐to‐peer (P2P) capacity to alleviate their server costs. Under the inherent peer dynamics, a major challenge of these hybrid CDN‐P2P systems is to provide efficient failure recovery with good quality of service guarantees at a reduced server cost. In this work we propose a cost‐effective failover solution named CDNPatch to address the aforementioned problem. CDNPatch enables peers to periodically precompute a few backup content suppliers by efficient information exchange and maintenance algorithms, and leverages auxiliary CDN servers and an economic server provisioning algorithm to reduce the chance of playback interruption occurring to peers. Our simulation results show that CDNPatch can mask the impact of peer dynamics of 3 real P2P systems, namely, SOPCast, PPStream, and PPTV, with 100 % failure recovery success rate and a failure recovery time less than 1 second at a cost of small P2P communication overhead of less than 1 kilobits per second, while using only 10%, 21%, and 51%, respectively, of the pure CDN scheme's server consumption.