Failure strength of thin-walled cylindrical GFRP composite shell against static internal and external pressure for various volumetric fiber fraction

A study on a Circular cylindrical thin-walled shell failure made of GRP composite subjected to static internal and external pressure was carried out. The results were acquired using analytical and FEM simulation approaches for various volumetric fiber fractions. Fiber breakage, matrix breakage, interlaminate shear deformation, delamination shear deformation and micro buckling failure were investigated employing maximum failure criteria against internal and external pressure. One-ply cylindrical shell with fiber angle orientation of 0 degree was modeled in ABAQUS finite element simulation and the result was varied using analytical approaches. Moreover, the pressure fluctuations for various volumetric fiber fraction were quadratic according to plotted graphs. Meanwhile, MATLAB software was used for theoretical analysis. The comparison of two approaches was proved to be accurate. Subsequently, failure strength of various laminated GFRP cylindrical shell with different fiber angle orientations at each ply was studied for diverse volumetric fiber fraction factors. Stacking sequence, fiber angle orientations were mainly effective on failure strength

Different features in Wegener's granulomatosis: Report of five cases

Wegener's granulomatosis (WG) is an autoimmune inflammatory condition. It is often a rapidly progressive and potentially fatal disease. The clinical presentation of WG can be so diverse that the list of its differential diagnosis is vast, ranging from infectious diseases to other vasculitis (e.g. Behcet's disease), as well as malignancies. The exact aetiology of WG remains unclear. The upper airway diseases including sinusitis, oral lesions and otitis media are the most common presenting features of WG. In this paper, we have described 5 WG cases. They had different presentations and chief complaints. Some of them presented with upper airways diseases, while the others mainly suffered from the manifestations of pulmonary involvement. Although all of them were finally diagnosed as WG cases, the processes of the work up for the diagnosis as well as the outcome of the disease were not the same. So, the diversities in the presentation should be mentioned in the management of the WG suspected patients

Database Learning: Toward a Database that Becomes Smarter Every Time

In today's databases, previous query answers rarely benefit answering future queries. For the first time, to the best of our knowledge, we change this paradigm in an approximate query processing (AQP) context. We make the following observation: the answer to each query reveals some degree of knowledge about the answer to another query because their answers stem from the same underlying distribution that has produced the entire dataset. Exploiting and refining this knowledge should allow us to answer queries more analytically, rather than by reading enormous amounts of raw data. Also, processing more queries should continuously enhance our knowledge of the underlying distribution, and hence lead to increasingly faster response times for future queries. We call this novel idea---learning from past query answers---Database Learning. We exploit the principle of maximum entropy to produce answers, which are in expectation guaranteed to be more accurate than existing sample-based approximations. Empowered by this idea, we build a query engine on top of Spark SQL, called Verdict. We conduct extensive experiments on real-world query traces from a large customer of a major database vendor. Our results demonstrate that Verdict supports 73.7% of these queries, speeding them up by up to 23.0x for the same accuracy level compared to existing AQP systems.Comment: This manuscript is an extended report of the work published in ACM SIGMOD conference 201

VerdictDB: Universalizing Approximate Query Processing

Despite 25 years of research in academia, approximate query processing (AQP) has had little industrial adoption. One of the major causes of this slow adoption is the reluctance of traditional vendors to make radical changes to their legacy codebases, and the preoccupation of newer vendors (e.g., SQL-on-Hadoop products) with implementing standard features. Additionally, the few AQP engines that are available are each tied to a specific platform and require users to completely abandon their existing databases---an unrealistic expectation given the infancy of the AQP technology. Therefore, we argue that a universal solution is needed: a database-agnostic approximation engine that will widen the reach of this emerging technology across various platforms. Our proposal, called VerdictDB, uses a middleware architecture that requires no changes to the backend database, and thus, can work with all off-the-shelf engines. Operating at the driver-level, VerdictDB intercepts analytical queries issued to the database and rewrites them into another query that, if executed by any standard relational engine, will yield sufficient information for computing an approximate answer. VerdictDB uses the returned result set to compute an approximate answer and error estimates, which are then passed on to the user or application. However, lack of access to the query execution layer introduces significant challenges in terms of generality, correctness, and efficiency. This paper shows how VerdictDB overcomes these challenges and delivers up to 171$\times$ speedup (18.45$\times$ on average) for a variety of existing engines, such as Impala, Spark SQL, and Amazon Redshift, while incurring less than 2.6% relative error. VerdictDB is open-sourced under Apache License.Comment: Extended technical report of the paper that appeared in Proceedings of the 2018 International Conference on Management of Data, pp. 1461-1476. ACM, 201

Effect of lidocaine on duration of seizure and hemodynamic alterations in electroconvulsive therapy

Background and Objective: Electroconvulsive therapy (ECT) is one of the most common methods in treatment of different types of psychological disorder. The effectiveness of this therapy has a direct relation with the duration of convulsion. This study was conducted to assess the effect of lidocaine on duration of seizure and hemodynamic alterations in electroconvulsive therapy. Materials and Methods: This clinical trial study was conducted on 72 ASA-I, II patients with psychotic disorders in Hajar Medical Center in Shahrekord, Iran during 2010. The patients randomly divided into intervention and control group. The interventional group was received 1.5 mg/kg lidocaine and controls were received normal saline. For induction of anesthesia, all patients were received Sodium Thiopental (2mg/kg), Succinylcholine (1mg/kg) and Atropine (0.5mg) Propofol and Succinylcholine during 72 sessions of ECT. Duration of objective convulsion and hemodynamic alterations including blood pressure and heart rate were recorded (before, immediately and 3, 5 minutes after ECT). Data were analyzed using SPSS-11.5 and t-test. Results: Systolic and diastolic blood pressures and heart rate in 3rd minutes in interventional group following electroconvulsive therapy were 143.38±16 mmHg, 79.86±6.7 mmHg, 91.9±9.9 mmHg, respectively and in controls were 128.88±13.04 mmHg, 87.63±5.79 mmHg and 102.86±13 mmHg, respectively. These difference were significant (P<0.05). The above-mentioned indices for 5th minutes in intervention and controls were as follow: systolic (113.47±9.97 mmHg, 122.36±13 mmHg), diastolic (73.47±4.27 mmHg, 77.63±6.26 mmHg) heart rate (84.41±4.6 in minute, 93.19±12.53 in minute). These differences in above indices were significant (P<0.05). Conclusion: This study showed that lidocaine administration during electroconvulsive therapy increase the duration of convulsion and reduces heart rate and blood pressur

Bioactive glasses and glass/polymer composites for neuroregeneration: Should we be hopeful?

Bioactive glasses (BGs) have been identified as highly versatile materials in tissue engineering applications; apart from being used for bone repair for many years, they have recently shown promise for the regeneration of peripheral nerves as well. They can be formulated in different shapes and forms (micro-/nanoparticles, micro-/nanofibers, and tubes), thus potentially meeting the diverse requirements for neuroregeneration. Mechanical and biological improvements in three-dimensional (3D) polymeric scaffolds could be easily provided by adding BGs to their composition. Various types of silicate, borate, and phosphate BGs have been examined for use in neuroregeneration. In general, BGs show good compatibility with the nervous system compartments both in vitro and in vivo. Functionalization and surface modification plus doping with therapeutic ions make BGs even more effective in peripheral nerve regeneration. Moreover, the combination of BGs with conductive polymers is suggested to improve neural cell functions at injured sites. Taking advantage of BGs combined with novel technologies in tissue engineering, like 3D printing, can open new horizons in reconstructive approaches for the nervous system. Although there are great potential opportunities in BG-based therapies for peripheral nerve regeneration, more research should still be performed to carefully assess the pros and cons of BGs in neuroregeneration strategies

Nanotechnology for angiogenesis: Opportunities and challenges

Angiogenesis plays a critical role within the human body, from the early stages of life (i.e., embryonic development) to life-threatening diseases (e.g., cancer, heart attack, stroke, wound healing). Many pharmaceutical companies have expended huge efforts on both stimulation and inhibition of angiogenesis. During the last decade, the nanotechnology revolution has made a great impact in medicine, and regulatory approvals are starting to be achieved for nanomedicines to treat a wide range of diseases. Angiogenesis therapies involve the inhibition of angiogenesis in oncology and ophthalmology, and stimulation of angiogenesis in wound healing and tissue engineering. This review aims to summarize nanotechnology-based strategies that have been explored in the broad area of angiogenesis. Lipid-based, carbon-based and polymeric nanoparticles, and a wide range of inorganic and metallic nanoparticles are covered in detail. Theranostic and imaging approaches can be facilitated by nanoparticles. Many preparations have been reported to have a bimodal effect where they stimulate angiogenesis at low dose and inhibit it at higher doses. This journal i

The Effectiveness of Doctoral Program in Nursing in Iran Based on the Patrick Model

Background: Doctoral program in nursing aims to train nursing professionals and managers to improve the quality of care and ultimately to promote public health. Some critics believe that in Iran this program mostly focuses on training instructors and researchers and neither improves the function and position of nursing discipline nor meets the needs of the community. Objectives: The present study aimed to determine the effectiveness of nursing doctoral program based on the Patrick model from the perspective of nursing doctoral students. Materials and Methods: This cross-sectional study was conducted on 90 nursing students who were conveniently selected from seven nursing schools. A questionnaire designed based on the Patrick model was used. Descriptive statistics, simple and multiple regression analysis were used to analyze the data. Percentage of the effectiveness scores was reported. Results: The mean score of effectiveness of the nursing doctoral program was 84.76 ± 2.73, which assumed a good level. Multiple regression analysis showed that job status and being native in the field of education explains 11% of the variance in the effectiveness score. Conclusions: Although the efficacy of nursing doctoral program is good, however, it needs revision to enhance the outcomes of the program in order to meet public needs and to increase learners’ satisfaction