Earthquake prediction has been a challenging research area, where a future occurrence of the devastating catastrophe is predicted. In this work, sixty seismic features are computed through employing ...seismological concepts, such as Gutenberg-Richter law, seismic rate changes, foreshock frequency, seismic energy release, total recurrence time. Further, Maximum Relevance and Minimum Redundancy (mRMR) criteria is applied to extract the relevant features. A Support Vector Regressor (SVR) and Hybrid Neural Network (HNN) based classification system is built to obtain the earthquake predictions. HNN is a step wise combination of three different Neural Networks, supported by Enhanced Particle Swarm Optimization (EPSO), to offer weight optimization at each layer. The newly computed seismic features in combination with SVR-HNN prediction system is applied on Hindukush, Chile and Southern California regions. The obtained numerical results show improved prediction performance for all the considered regions, compared to previous prediction studies.
Researchers and companies have increasingly been drawn to biodegradable polymers and composites because of their environmental resilience, eco-friendliness, and suitability for a range of ...applications. For various uses, biodegradable fabrics use biodegradable polymers or natural fibers as reinforcement. Many approaches have been taken to achieve better compatibility for tailored and improved material properties. In this article, PBS (polybutylene succinate) was chosen as the main topic due to its excellent properties and intensive interest among industrial and researchers. PBS is an environmentally safe biopolymer that has some special properties, such as good clarity and processability, a shiny look, and flexibility, but it also has some drawbacks, such as brittleness. PBS-based natural fiber composites are completely biodegradable and have strong physical properties. Several research studies on PBS-based composites have been published, including physical, mechanical, and thermal assessments of the properties and its ability to replace petroleum-based materials, but no systematic analysis of up-to-date research evidence is currently available in the literature. The aim of this analysis is to highlight recent developments in PBS research and production, as well as its natural fiber composites. The current research efforts focus on the synthesis, copolymers and biodegradability for its properties, trends, challenges and prospects in the field of PBS and its composites also reviewed in this paper.
The absorption and color conversion characteristics of nanophosphor-coupled nanoporous layers in III-nitride micro-light emitting diodes (micro-LED) arrays have been numerically analyzed along with ...their impacts on the application of micro-LED matrices in colorful display panels. Nanoporous gallium nitride (GaN) layers in the micro-LED pixels have been reported to function as the color-converting element by incorporating quantum dot-based nanophosphors inside the porous cavity, which absorbs the blue output from the underlying emissive quantum wells and then re-emits in red and green spectra. While this color conversion scheme was proposed as a promising venue of implementing full-color micro-LED displays, our computational study reveals that there remain some key challenges to be addressed down the road: the extraction efficiencies of both excitation (blue) and down-conversion (red) light from the nanophosphor-coupled LED structure have been shown to decrease dramatically with increasing porosity and thickness of the porous down-conversion layer beyond certain thresholds. Additionally, it is found from the simulation that the cross-talk of down-conversion light between adjacent micro-LED pixels is substantially higher compared to the excitation light cross-talk due to the location of the phosphors in the pore cavities and the resultant strong scattering by the surrounding nanopores. Studying and attempting to overcome those color-conversion challenges of the nanoporous GaN-based micro-LEDs could pave the way for developing full-color micro-LED display panels that simultaneously preserve the high-resolution and efficiency performances of micro-LED display devices.
•Intelligent, detection, design phases to analyze the social media message.•The sentiment analysis methodology is created to analyze praises and complaints.•Development and implementation of ...integrative management information system.
Business is based on manufacturing, purchasing, selling a product, and earning or making profits. Social media analytics collect and analyze data from various social networks such as Facebook, Instagram, and Twitter. Social media data analysis can help companies identify consumer desires and preferences, improve customer service and market analytics on social networks, and smarter product development and marketing investments. The business decision-making process is a step-by-step process that enables employees to resolve challenges by weighing evidence, evaluating possible solutions, and selecting a route. In this paper, Big Data-assisted Social Media Analytics for Business (BD-SMAB) Model increases awareness and affects decision-makers in marketing strategies. Companies can use big data analytics in many ways to enhance management. It can evaluate its competitors in real-time and change prices, make deals better than its competitors' sales, analyze competitors' unfavorable feedback and see if they can outperform that competitor. The proposed method examines social media analysis impacts on different areas such as real estate, organizations, and beauty trade fairs. This diversity of these companies shows the effects of social media and how positive decisions can be developed. Take better marketing decisions and develop a strategic approach. As a result, the BD-SMAB method enhance customer satisfaction and experience and develop brand awareness.
Preoperative Planning in Primary Total Knee Arthroplasty Tanzer, Michael; Makhdom, Asim M
Journal of the American Academy of Orthopaedic Surgeons,
2016-April, 2016-Apr, 2016-04-00, 20160401, Letnik:
24, Številka:
4
Journal Article
Recenzirano
Preoperative planning is of paramount importance in primary total knee arthroplasty. A thorough preoperative analysis helps the surgeon envision the operation, anticipate any potential issues, and ...minimize the risk of premature implant failure. Obtaining a thorough history is critical for appropriate patient selection. The physical examination should evaluate the integrity of the soft tissues, the neurovascular status, range of motion, limb deformity, and the status of the collateral ligaments to help determine the soft-tissue balancing and constraint strategy required. Standard radiographs, with a known magnification, should be obtained for preoperative total knee arthroplasty templating. Routine standing AP, lateral, and skyline radiographs of the knee can help the surgeon plan the bone cuts and tibial slope as well as the implant size and position at the time of surgery. In certain circumstances, such as severe coronal deformities, bone deficiencies, and/or extra-articular deformities, additional measures are frequently necessary to successfully reconstruct the knee. Constrained implants, metal augments, and bone graft must be part of the surgeon’s armamentarium.
Earthquake magnitude prediction for Hindukush region has been carried out in this research using the temporal sequence of historic seismic activities in combination with the machine learning ...classifiers. Prediction has been made on the basis of mathematically calculated eight seismic indicators using the earthquake catalog of the region. These parameters are based on the well-known geophysical facts of Gutenberg–Richter’s inverse law, distribution of characteristic earthquake magnitudes and seismic quiescence. In this research, four machine learning techniques including pattern recognition neural network, recurrent neural network, random forest and linear programming boost ensemble classifier are separately applied to model relationships between calculated seismic parameters and future earthquake occurrences. The problem is formulated as a binary classification task and predictions are made for earthquakes of magnitude greater than or equal to 5.5 (
M
≥
5.5), for the duration of 1 month. Furthermore, the analysis of earthquake prediction results is carried out for every machine learning classifier in terms of sensitivity, specificity, true and false predictive values. Accuracy is another performance measure considered for analyzing the results. Earthquake magnitude prediction for the Hindukush using these aforementioned techniques show significant and encouraging results, thus constituting a step forward toward the final robust prediction mechanism which is not available so far.
Objectives This study aimed to determine the prevalence of dilation and abnormal elastic properties of aortic root in first-degree relatives (FDRs) of bicuspid aortic valve (BAV) patients. Background ...Evidence indicates that BAV is a genetic disorder. Although FDRs of affected individuals have an increased prevalence of BAV, their risk of aortic root abnormalities is unknown. Methods We studied dimensions as well as the elastic properties of the ascending aorta in 48 FDRs with morphologically normal tricuspid aortic valves, 54 BAV patients, and 45 control subjects using 2-dimensional echocardiography. Results The prevalence of aortic root dilation was 32% in FDRs and 53% in BAV patients, whereas all control subjects showed normal aortic dimensions (p < 0.001). The FDRs and BAVs had significantly lower aortic distensibility (1.7 ± 1.4 × 10−3 mm Hg and 1.4 ± 2.0 × 10−3 mm Hg vs. 2.5 ± 1.6 × 10−3 mm Hg, p < 0.001) and greater aortic stiffness index (26.7 ± 25.8 and 55.9 ± 76.8 vs. 18.7 ± 40.1, p = 0.001) compared with control subjects. This difference remained significant in subjects without aortic root dilation or hypertension (p = 0.002 and p = 0.004, respectively). Conclusions The aortic root is functionally abnormal and dilation is common (32%) in first-degree relatives of patients with BAV. Screening of FDRs by transthoracic 2-dimensional echocardiography should be considered for detection of aortic valve malformation and dilated ascending aorta.
Untreated and treated jute fiber and nano-clay in various ratios were used to fabricate jute/nano-clay/epoxy hybrid composites through compression molding method. The dynamic mechanical and free ...vibration behaviours were evaluated by varying the concentration of NaOH (2.5%, 5% and 7.5%) and wt.% of nano-clay (1, 3, 5 and 7 wt.%). Experimental outcomes disclosed that the storage and loss modulus, damping factor and natural frequency are influenced by concentration of NaOH solution and nano-clay content. A positive shift (towards higher temperature) in glass transition temperature and enhanced natural frequency of the composites after NaOH treatment and nano-clay addition confirmed that superior interfacial bonding exists between the jute fibers and epoxy matrix. Finally, the composites incorporated with 5% treated fiber and 5 wt.% of nano-clay is suggested for low strength structural applications in construction and automobile industries.
Natural fibre based composites are under intensive study due to their ecofriendly nature and peculiar properties. The advantage of natural fibres is their continuous supply, easy and safe handling, ...and biodegradable nature. Although natural fibres exhibit admirable physical and mechanical properties, it varies with the plant source, species, geography, and so forth. Pineapple leave fibre (PALF) is one of the abundantly available wastes materials of Malaysia and has not been studied yet as it is required. A detailed study of chemical, physical, and mechanical properties will bring out logical and reasonable utilization of PALF for various applications. From the socioeconomic prospective, PALF can be a new source of raw material to the industries and can be potential replacement of the expensive and nonrenewable synthetic fibre. However, few studies on PALF have been done describing the interfacial adhesion between fibres and reinforcement compatibility of fibre but a detailed study on PALF properties is not available. In this review, author covered the basic information of PALF and compared the chemical, physical, and mechanical properties with other natural fibres. Furthermore, it summarizes the recent work reported on physical, mechanical, and thermal properties of PALF reinforced polymer composites with its potential applications.
The Acute Hemodynamic Effects of MitraClip Therapy Siegel, Robert J., MD; Biner, Simon, MD; Rafique, Asim M., MD ...
Journal of the American College of Cardiology,
04/2011, Letnik:
57, Številka:
16
Journal Article
Recenzirano
Odprti dostop
Objectives The objective of this study was to evaluate the acute hemodynamic consequences of mitral valve (MV) repair with the MitraClip device (Abbott Vascular, Menlo Park, California). Background ...Whether surgical correction of mitral regurgitation (MR) results in a low cardiac output (CO) state because of an acute increase in afterload remains controversial. The acute hemodynamic consequences of MR reduction with the MitraClip device have not been studied. Methods We evaluated 107 patients with cardiac catheterization before and immediately following percutaneous MV repair with the MitraClip device. In addition, pre- and post-procedural hemodynamic parameters were studied by transthoracic echocardiography. Results MitraClip treatment was attempted in 107 patients, and in 96 (90%) patients, a MitraClip was deployed. Successful MitraClip treatment resulted in: 1) an increase in CO from 5.0 ± 2.0 l/min to 5.7 ± 1.9 l/min (p = 0.003); 2) an increase in forward stroke volume (FSV) from 57 ± 17 ml to 65 ± 18 ml (p < 0.001); and 3) a decrease in systemic vascular resistance from 1,226 ± 481 dyn·s/cm5 to 1,004 ± 442 dyn·s/cm5 (p < 0.001). In addition, there was left ventricular (LV) unloading manifested by a decrease in LV end-diastolic pressure from 11.4 ± 9.0 mm Hg to 8.8 ± 5.8 mm Hg (p = 0.016) and a decrease in LV end-diastolic volume from 172 ± 37 ml to 158 ± 38 ml (p < 0.001). None of the patients developed acute post-procedural low CO state. Conclusions Successful MV repair with the MitraClip system results in an immediate and significant improvement in FSV, CO, and LV loading conditions. There was no evidence of a low CO state following MitraClip treatment for MR. These favorable hemodynamic effects with the MitraClip appear to reduce the risk of developing a low CO state, a complication occasionally observed after surgical MV repair for severe MR. (A Study of the Evalve Cardiovascular Valve Repair System Endovascular Valve Edge-to-Edge Repair Study EVEREST I; NCT00209339 and EVEREST II; NCT00209274 )
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