Seroprevalence of West Nile, Rift Valley, and sandfly arboviruses in Hashimiah, Jordan.

We conducted a serosurvey among patients of a health center in Hashimiah, a Jordanian town of 30,000 inhabitants located near a wastewater treatment plant and its effluent channel. Serum samples from 261 patients >/=5 years of age were assessed for immunoglobulin G (IgG) and IgM antibodies against West Nile, sandfly Sicilian, sandfly Naples, and Rift Valley viruses; the seroprevalence of IgG antibodies was 8%, 47%, 30%, and 0%, respectively. Female participants were more likely to have been infected than male. Persons living within 2 km of the treatment plant were more likely to have been infected with West Nile (p=0.016) and sandfly Sicilian (p=0.010) viruses. Raising domestic animals within the house was a risk factor for sandfly Sicilian (p=0.003) but not for sandfly Naples virus (p=0.148). All serum samples were negative for IgM antibodies against the tested viruses. Our study is the first documentation of West Nile and sandfly viruses in Jordan and calls attention to the possible health hazards of living close to wastewater treatment plants and their effluent channels

Effects of Anger Awareness and Expression Training versus Relaxation Training on Headaches: A Randomized Trial

Background and purpose: Stress contributes to headaches, and effective interventions for headaches routinely include relaxation training (RT) to directly reduce negative emotions and arousal. Yet, suppressing negative emotions, particularly anger, appears to augment pain, and experimental studies suggest that expressing anger may reduce pain. Therefore, we developed and tested anger awareness and expression training (AAET) on people with headaches. Methods: Young adults with headaches (N = 147) were randomized to AAET, RT, or a wait-list control. We assessed affect during sessions, and process and outcome variables at baseline and 4 weeks after treatment. Results: On process measures, both interventions increased self-efficacy to manage headaches, but only AAET reduced alexithymia and increased emotional processing and assertiveness. Yet, both interventions were equally effective at improving headache outcomes relative to controls. Conclusions: Enhancing anger awareness and expression may improve chronic headaches, although not more than RT. Researchers should study which patients are most likely to benefit from an emotional expression or emotional reduction approach to chronic pain

Surgery and the spinorial tau-invariant

We associate to a compact spin manifold M a real-valued invariant \tau(M) by taking the supremum over all conformal classes over the infimum inside each conformal class of the first positive Dirac eigenvalue, normalized to volume 1. This invariant is a spinorial analogue of Schoen's $\sigma$-constant, also known as the smooth Yamabe number. We prove that if N is obtained from M by surgery of codimension at least 2, then $\tau(N) \geq \min\{\tau(M),\Lambda_n\}$ with $\Lambda_n>0$. Various topological conclusions can be drawn, in particular that \tau is a spin-bordism invariant below $\Lambda_n$. Below $\Lambda_n$, the values of $\tau$ cannot accumulate from above when varied over all manifolds of a fixed dimension.Comment: to appear in CPD

Mobile Application Calculator for Inverse Method and Cramer's Rule at Polytechnic Kota Kinabalu

Initiatives have been taken to create mobile applications for teaching and learning purposes with developing Mobile Calculator Inverse Method and Cramer's Rule. The focus is for student DBM1013 Engineering Mathematics 1 at Polytechnic Kota Kinabalu for Topic 4 Matrix and subtopic 4.3 Simultaneous Linear Equations. Students always do mistakes, less motivated and less confident, this is because the step to solve this question is complicated and related to each other. Students also cannot check their answers whether is correct or not until the calculation is completed. To test the effectiveness of this application, pre-test and post-test has been given to 39 students in the current semester. Result shows that there was an increase in student achievement which is, before using mobile calculator application is only 11 students achieved score 50-100 for pre-test while after using the application, 36 students score 50-100 marks for post-test questions

Perventricular device closure of muscular ventricular septal defects on the beating heart: technique and results

AbstractObjectiveBoth surgical management and percutaneous device closure of muscular ventricular septal defects have drawbacks and limitations. This report describes our initial experience with intraoperative device closure of muscular ventricular septal defects without cardiopulmonary bypass in 6 consecutive patients.MethodsA median sternotomy or a subxiphoid minimally invasive incision was performed. Under continuous transesophageal echocardiographic guidance, the right ventricle free wall was punctured, and a wire was introduced across the largest defect. The Amplatzer (AGA Medical Corporation, Golden Valley, Minn) muscular ventricular septal defect occluding device (a self-expandable double-disk device) was used. An introducer sheath was fed over the wire, with the sheath tip positioned in the left ventricle cavity. The device was then advanced inside the sheath and deployed by retracting the sheath. Associated cardiac lesions, if any, can then be repaired during cardiopulmonary bypass. A similar technique can also be applied for periatrial closure of complex atrial septal defects.ResultsThe initial 6 patients are presented. Cardiopulmonary bypass was not needed in any patient for placement of the device and needed in 4 patients for repair of concomitant malformations only (double-outlet right ventricle, aortic arch hypoplasia, pulmonary artery band removal). No complications from using this technique occurred. Discharge echocardiograms showed no significant shunting across the ventricular septum.ConclusionsPerventricular closure of multiple muscular ventricular septal defects is safe and effective. We believe that this could become the treatment of choice for any infant with muscular ventricular septal defects or any child with muscular ventricular septal defect and associated cardiac defects

Extended Formulations in Mixed-integer Convex Programming

We present a unifying framework for generating extended formulations for the polyhedral outer approximations used in algorithms for mixed-integer convex programming (MICP). Extended formulations lead to fewer iterations of outer approximation algorithms and generally faster solution times. First, we observe that all MICP instances from the MINLPLIB2 benchmark library are conic representable with standard symmetric and nonsymmetric cones. Conic reformulations are shown to be effective extended formulations themselves because they encode separability structure. For mixed-integer conic-representable problems, we provide the first outer approximation algorithm with finite-time convergence guarantees, opening a path for the use of conic solvers for continuous relaxations. We then connect the popular modeling framework of disciplined convex programming (DCP) to the existence of extended formulations independent of conic representability. We present evidence that our approach can yield significant gains in practice, with the solution of a number of open instances from the MINLPLIB2 benchmark library.Comment: To be presented at IPCO 201

The Cauchy problems for Einstein metrics and parallel spinors

We show that in the analytic category, given a Riemannian metric $g$ on a hypersurface $M\subset \Z$ and a symmetric tensor $W$ on $M$, the metric $g$ can be locally extended to a Riemannian Einstein metric on $Z$ with second fundamental form $W$, provided that $g$ and $W$ satisfy the constraints on $M$ imposed by the contracted Codazzi equations. We use this fact to study the Cauchy problem for metrics with parallel spinors in the real analytic category and give an affirmative answer to a question raised in B\"ar, Gauduchon, Moroianu (2005). We also answer negatively the corresponding questions in the smooth category.Comment: 28 pages; final versio

Draft whole genome sequences of the periodontal pathobionts Porphyromonas gingivalis, Prevotella intermedia and Tannerella forsythia contain phase variable restriction modification systems

The periodontal strains used were collected during previous studies performed at the University of Cardiff (strains WW414, WW855 and WW2096), University of Bristol (WW2834, WW2842, WW2866, WW2881, WW28585, WW2903, WW2931, WW2952, WW3039, WW3040, and WW3102), King’s College London (WW5019, WW5127, and WW10960) and Queen Mary University of London (WW11663). Illumina sequencing was performed by the NUCLEUS Genomics Core Facility and data analysis used the Spectre2 and Alice2 High Performance Computing Facility at the University of Leicester. This work was in part funded by a grant from the BBSRC (BB/N002903/1) to MRO.Peer reviewedPublisher PD

Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs

Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accurately predicting the most appropriate therapies to treat individual patients. Here, we present an approach, named Drug Ranking Using ML (DRUML), which uses omics data to produce ordered lists of >400 drugs based on their anti-proliferative efficacy in cancer cells. To reduce noise and increase predictive robustness, instead of individual features, DRUML uses internally normalized distance metrics of drug response as features for ML model generation. DRUML is trained using in-house proteomics and phosphoproteomics data derived from 48 cell lines, and it is verified with data comprised of 53 cellular models from 12 independent laboratories. We show that DRUML predicts drug responses in independent verification datasets with low error (mean squared error < 0.1 and mean Spearman’s rank 0.7). In addition, we demonstrate that DRUML predictions of cytarabine sensitivity in clinical leukemia samples are prognostic of patient survival (Log rank p < 0.005). Our results indicate that DRUML accurately ranks anti-cancer drugs by their efficacy across a wide range of pathologies