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The detailed description about the OMIS (One Machine-Infinite Bus) and the SLIS(Single Load -Infinite Bus)will be done in this paper and the detailed introduction of these two concepts(the coherent generators and the coherent buses) and their aggregation. Based on the new OMIS model, the new methods of identifying the coherent generators and aggregating the coherent generators will be advanced. Based on the coherent generators, the new algorithm for the reserving coefficient of the steady angular stability will comes into being. Based on the new SLIS model, the new methods of identifying the coherent buses and aggregating the coherent buses will be put forward. Based on the coherent buses, the new algorithm for the reserving coefficient of the steady voltage stability will be brought about. A real example is used to validate the idea in this paper. A discussion on the angular references between the online data and the offline data will be done when the phases from the WAMS are used. The steady stability of two generators model will be acquired.

In the wake of policy, technology, and ideological disruptions in Western higher education, it is in universities’ interests to improve the quality of their learning and teaching to meet changed expectations. In some countries, particularly anglophone countries such as Australia, Canada, New Zealand, and the United Kingdom, the medium for this improvement is often professional development of academic staff provided through a Graduate Certificate in Higher Education (GCHE). This paper presents mixed methods research conducted at an Australian University. It addresses the questions of how a GCHE contributes to teaching quality and the Scholarship of Teaching and Learning (SoTL) from the perspective of course participants and their educators in the context of a university wide strategy to promote a culture of excellence in learning and teaching. Data and analysis indicate significant benefits to academic staff, their students, and the host institution from completion of a GCHE. However, tensions around academic workloads, compulsion, and some contradictions in espoused educational values and managerialist impositions emerge in these advancements. The educators in the GCHE (academic developers) were sometimes caught in the crossfire. Their reflections on this experience are included in the data and analysis.

In this study, the dynamic stability of plate with the active-damping layer under a thrust is investigated. The structure is actively damped by piezoelectric layers, and adopted a control algorithm for vibration suppression. Thin piezoelectric layers are assumed to be embedded on the top and the bottom surfaces of the structure. The top and the bottom layers are taken as the actuator and the sensor, respectively. The structure model is based on the first-order shear deformation plate theory, and the finite element method is applied in the numerical analysis. In addition, the method of multiple scales is adopted to analyze the parametrically excited system. This analysis is specifically focused on the mutual interaction of the thrust and the piezoelectric active-damping layer for the vibration suppression. In this paper, the effects of the active-damping layer with piezoelectric sensors/actuators are discussed in detail.

China is the most productive seaweed farming country in the world and her seaweed imports and exports have a significant impact on global seaweed trade commodities and food security. Nevertheless, few studies had delved into the main characteristics and development of China's seaweed farming industry. This paper aims to narrow this research gap by analyzing trade patterns in China's seaweed products and the international competitiveness of seaweed product by using the international market share index (IMS), the trade competitiveness index (TC), and revealed comparative advantage index (RCA) from 2002 to 2017. The results showed that Japan, the Association of Southeast Asian Nations (ASEAN), Chile, Peru, and the Republic of Korea are China's main trade partners, the total trade value of China's seaweed products has grown rapidly, its imports have gradually exceeded exports, the trade deficit continues to expand, and its competitiveness keeps decreasing. The reasons for this trend may include the changing seaweed trade commodity structure, product differentiation, increased government support in competing countries, and trade barriers among the trade partners. We propose actively expanding international trade markets, establishing a strong seaweed product processing industry to develop high value-added seaweed products, optimizing the trade commodity structure, and differentiating of seaweed products to improve the competitiveness of China's seaweed products.

Optimal pressure regulation to reduce water losses in water distribution systems (WDSs) becomes an important concern due to the increasing water demand and the threat of drought in many areas of the world. The leakage amount in a WDS depends heavily on its operating pressure and thus can be minimized by implementing optimal pressure strategies through pressure reducing valves (PRVs). To achieve this, a model-based optimization is necessary, where an accurate model of the PRVs is required. The PRV models having been used until now for pressure regulations are two-mode models which cannot circumstantiate many situations occurring in WDSs. In this paper, we extend the existing model by a three-mode one for PRVs which is able to describe the required circumstances of pressure regulations in WDSs. The non-smoothness of this model is smoothed by an approximation approach, thus allowing the formulation and solution of a continuous nonlinear optimization problem for optimal pressure regulation. Two benchmark WDSs are used to verify our approach and it can be shown from the results that our PRV model outperforms the existing models in terms of the quality and accuracy of the optimal solutions.

Many research projects and implementations related to QoS (Quality of Service) management technologies for providing stable network services have been undertaken. To perform QoS management, traffic classes are required. Generally, traffic is classified by setting priorities for packets, and the methods of setting those priorities include passive admission control in which clients set priorities and active admission control in which network edge routers check traffic and set priorities. To perform active admission control, identification information such as a TCP or UDP header must be inspected. However, with existing security protocols such as ESP (Encapsulating Security Payload) or SSH (Secure Shell), these kinds of information cannot be inspected because they are encrypted. Based on the point of view that active admission control should be performed to simplify QoS management of IP networks, the authors of this paper propose a security protocol named ESPQ (ESP considered QoS) for constructing active admission controllable packets and investigate the stability of that protocol. They also perform implementation experiments to show that existing control equipment such as routers can perform QoS management of ESPQ packets. © 2004 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 87(2): 47–58, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.10215

PURPOSE The purpose of this study was to examine differences between urban and rural primary care clinics in the use of colorectal cancer (CRC) screening methods and evidence-based interventions to promote CRC screening. METHODS This was a cross-sectional survey of primary care clinics in Nebraska. Surveys in paper form were sent out and followed up with telephone interviews to nonrespondents. Of the 375 facilities, 263 (70.1%) responded to the survey. FINDINGS Over 30% of urban clinics indicated that 80% or more of their patients were meeting the CRC guidelines compared to 18.3% of rural clinics (P = .03). Rural clinics were more likely than urban clinics to prefer the use of colonoscopy alone or in combination with stool tests (P = .02). The most common interventions for CRC screening included one-on-one patient education and use of computer-based pop-ups to remind providers. CONCLUSIONS In conclusion, we found some important differences between rural and urban primary care clinics in the implementation of CRC screening. Given that there is evidence for differences in preference for CRC screening methods (colonoscopy vs stool-based tests) between rural and urban community members, it is important to assess the effectiveness of different types of CRC screening interventions by comparing rural and urban primary care clinic patient populations.

Vesicouterine fistula is one of the rare varieties of urogenital fistula. Type I urogenital fistula or Youssef syndrome is characterised by menouria, amenorrhoea and urinary continence and it mostly follows lower segment caesarean delivery. There are only scattered case reports to help guide diagnostic and therapeutic options for this condition. These patients mostly need a combination of diagnostic modalities to confirm the diagnosis. Here, we present one such case of para 4 live 4 with classical symptoms of Youssef syndrome following a laparotomy for uterine rupture repair. CT urography confirmed the diagnosis and cystoscopy helped localise the exact location. Transabdominal fistula excision and repair was done. The paper also presents a summary of diagnostic and therapeutic options for this condition as reported in previous case reports for easy reference for practising gynaecologists and urologists.

A computational analysis using Artificial Intelligence techniques has drawn its attention in Industrial Revolution 4.0. There are self-regulating and integrating processes involved. The commonly used control method involves single-loop feedback control. Embedding feedforward algorithm is aimed to improve the steady state response of the controlled process without affecting the performance of transient response. Apart of it, two optimal tunings are respectively applied to suit to the different control objectives. Correlation PID tunings are applied to respective objective somehow is very relying to the engineering experience and skills. This paper proposed using Genetic Algorithm for optimization analysis to search a trade-off optimized PI controller settings, which reduces dependency on skills as well as provide better insights to all practical engineers for commending effective PI tunings to the real control practices of plants. Initially, the respective process and disturbance models of LOOP-PRO software for both Jacketed-reactor and Pumped-tank were developed. Then, the simulation analysis of PI tunings was conducted to feedback control, feedforward and feedback and Genetic Algorithm scheme. Relative performance was compared in terms of graphs, performance index, and performance indicator. It is concluded that Genetic Algorithm has consistently provided a trade-off optimized PI controller settings for both Jacketed-reactor and Pumped-tank.

Predicting student success has long been a question of interest for postsecondary admission counselors throughout the United States. Past research has examined the validity of several methods designed for predicting undergraduate success. High school record, standardized test scores, extracurricular activities, and combinations of all three have historically been successful predictors. However, in recent years, standardized test scores have become less effective for placing students in lower level mathematics courses; placement exams such as Accuplacer® have taken their place, especially in community colleges where no standardized test scores are necessary for admissions. This paper comprises a literature review of past research devoted to predicting community college success. Various state high school graduation requirements were examined as well as the issues surrounding high school mathematics proficiency and its lack of connection to college readiness. Academic aptitude factors—gleaned from high schoo...

The conventional wisdom is that American universities transfer technologies more rapidly and more effectively than their European counterparts. While this appears to be true, it is important to note that there are substantial cultural, legal, and regulatory differences between the two regions, and even within Europe. We believe that European universities can enhance their effectiveness in technology transfer if this function is given more visibility and prestige, enhanced public support, and formal procedures are implemented to facilitate benchmarking. In this paper, we examine some of the differences in university technology transfer in Europe and the U.S., and discuss these new approaches, which have recently been fully supported by the European Commission.

The paper describes the results of a 3-year study of a social housing organization in England, tracing its transition from local authority-financed social agency into an ‘independent’ social business financed by lenders and following a merger its further transition into a complex business managing £200 million of assets. The study is concerned with the accountability to and by a quasi-public sector Board and how that Board was (or was not) able to exercise effective governance. It asks: Who is accountable? To whom are they accountable? For what are they accountable? The paper builds on the contrast made by Roberts [Acc. Organ. Society 16 (1991) 355; J. Roberts, From discipline to dialogue: individualizing and socializing forms of accountability, in: R. Munro, J. Mouritsen (Eds.), Accountability: Power, Ethos and the Technologies of Managing, International Thomson Business Press, London, 1996; Hum. Relat. 54 (2001) 1547] between a formal, hierarchical system of accountability based on a calculative accounting, and an informal, socializing form of accountability based on a sense-making narrative. The research identifies the limitations of accounting reports and the inadequacy of the narratives surrounding management/Board interaction. The paper identifies a space between the calculative and the narrative that is vacant and where governance is problematic and which impedes broader social accountabilities.

A significant increase in research of human activity recognition can be seen in recent years due to availability of low-cost RGB-D sensors and advancement of deep learning algorithms. In this paper, we augmented our previous work on human activity recognition (Imran et al., IEEE international conference on advances in computing, communications, and informatics (ICACCI), 2016) [1] by incorporating skeletal data for fusion. Three main approaches are used to fuse skeletal data with RGB, depth data, and the results are compared with each other. A challenging UTD-MHAD activity recognition dataset with intraclass variations, comprising of twenty-seven activities, is used for testing and experimentation. Proposed fusion results in accuracy of 95.38% (nearly 4% improvement over previous work), and it also justifies the fact that recognition improves with an increase in number of evidences in support.

This paper presents a new transistor self-oscillating inverter suitable for high efficiency switch mode power supplies, which can operate directly from high voltages and is free from output transformer saturation problems due to transistor characteristic mismatch. It uses a half-bridge power circuit, consisting of two transistors in one limb and two capacitors in the other. Amongst several advantages of this configuration, the switching transistors need to withstand a minimum voltage equal to the dc supply only and not higher as in conventional circuits, while using only two transistors.

Aim: of this paper is to review the recent literature on the relationship between ectopic fat accumulation and cardiovascular disease. Data synthesis: Ectopic fat is an important predictor of metabolic (in particular insulin resistance) and cardiovascular disease, carrying more risk than general fat accumulation. Recent studies have shown a link between ectopic fat accumulation, as cardiac (epicardial or intra-myocardial fat) and/or visceral and/or hepatic fat, and development of atherosclerosis, coronary heart disease and hypertension. Conclusions: Ectopic fat accumulation is not only a marker of cardiometabolic disease, since through the release of adipocitokines, lipotoxic and glucotoxic agents, participates in the crosstalk with insulin-sensitive organs leading to metabolic, cardiac and vascular dysfunctions., This article version may be used for non-commercial purposes in accordance with CC BY-NC-ND license terms and conditions.

This is the unformatted version of the accepted review paper manuscript "Extended criteria grafts and emerging therapeutics strategy in liver transplantation. The unstable balance between damage and repair" published on Transplant Rev (Orlando)2021 Dec;35(4):100639. doi: 10.1016/j.trre.2021.100639., by Ghinolfi D, Melandro F, Torri F, Martinelli C, Cappello V, Babboni S, Silvestrini B, De Simone P, Basta G,Del Turco S. Due to increasing demand for donor organs, "extended criteria" donors are increasingly considered for liver transplantation, including elderly donors and donors after cardiac death. The grafts of this subgroup of donors share a major risk to develop significant features of ischemia reperfusion injury, that may eventually lead to graft failure. Ex-situ machine perfusion technology has gained much interest in liver transplantation, because represents both a useful tool for improving graft quality before transplantation and a platform for the delivery of therapeutics directly to the organ. In this review, we survey ongoing clinical evidences supporting the use of elderly and DCD donors in liver transplantation, and the underlying mechanistic aspects of liver aging and ischemia reperfusion injury that influence graft quality and transplant outcome. Finally, we highlight evidences in the field of new therapeutics to test in MP in the context of recent findings of basic and translational research.

This paper discusses the digital automation workflows and co-design methods that made possible the comprehensive robotic prefabrication of the BUGA Wood Pavilion - a large-scale production case study of robotic timber construction. Latest research in architectural robotics often focuses on the advancement of singular aspects of integrated digital fabrication and computational design techniques. Few researchers discuss how a multitude of different robotic processes can come together into seamless, collaborative robotic fabrication workflows and how a high level of interaction within larger teams of computational design and robotic fabrication experts can be achieved. It will be increasingly important to discuss suitable methods for the management of robotics and computational design in construction for the successful implementation of robotic fabrication systems in the context of the industry. We present here how a co-design approach enabled the organization of computational design decisions in reciprocal feedback with the fabrication planning, simulation and robotic code generation. We demonstrate how this approach can implement direct and curated reciprocal feedback between all planning domains - paving the way for fast-paced integrative project development. Furthermore, we discuss how the modularization of computational routines simplify the management and computational control of complex robotic construction efforts on a per-project basis and open the door for the flexible reutilization of developed digital technologies across projects and building systems., European Regional Development Fund, Deutsche Forschungsgemeinschaft, Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg, Projekt DEAL, Bundesgartenschau Heilbronn 2019 GmbH, GETTYLAB

This research opinion paper advocates for a new system of treating viral infections and diseases, it lays more emphasis on the current virus called Covid -19 virus (Corona Virus), it is a new innovation different from the known methods of treating viral infections and diseases. Some of the known methods include use of vaccines, anti -viral medication, monoclonal, serology. Most recently, stem cells have proved to be very effective in solving complex medical diseases such as leukemia, cancer and a host of other medical diseases that pose difficult challenges to the medical field. This method could be used to cure covid-19 permanently and then simulated to solve and cure other viral infections such as HIV and AIDS, Ebola, Hanta Virus and a host of other diseases like Malaria, Chicken-Pox, Small Pox, Measles etc. It is worthy to note that viruses are always evolving by way of mutation and are developing intelligent and strategic ways to beat or avoid being detected by the immune system, this can be seen in HIV and AIDS virus which attacks CD4 cells and even goes as far as engaging and fighting to wear down the T-Cells. Also, Covid -19 tries to proofread the cells to counter anti-viral drugs such as Ribavirin. Although Remdesivir anti-viral medication which has proven to work on some covid-19 patients, cannot be proofread by the corona virus. More insight about this "Autologous stem cells trapping mechanism" is discussed under conceptual framework of this research paper and attention should also be given to the suggestions and recommendations as they hold potential methods to permanently stop the actions of viruses in invading the human cells.

All education systems, to a greater or lesser extent, are marked by educational inequalities. Nearly all education systems, again to a greater or lesser extent, have put in place a variety of ‘compensatory’ strategies to help reduce these educational inequalities. These strategies have gone through different phases and enjoyed different degrees of support, but have generally been as much a part of the education system as the inequalities they are designed to address. This paper explores the continuing reinvention and failure of compensatory education strategies. It looks, in particular, at the emergence and limits of recent moves to implement a ‘politics of recognition’ for schools in disadvantaged areas. It argues that children in disadvantaged schools need a ‘politics of redistribution’, but that the mechanisms of distribution and the nature of what it is that is to be redistributed are problematic. Drawing on theory and empirical research, the paper concludes by arguing that, until we have a clearer idea of what it is that we are compensating, compensatory education policies will be doomed to fail.

In this paper we present a new classification method based on Dictionary Learning (DL). The main contribution consists of a kernel version of incoherent DL, derived from its standard linear counterpart. We also propose an improvement of the AK-SVD algorithm concerning the representation update. Our algorithms are tested on several popular databases of classification problems.

Edge computing is projected to become the dominant form of cloud computing in the future because of the significant advantages it brings to both users (less latency, higher throughput) and telecom operators (less Internet traffic, more local management). However, to fully unlock its potential at scale, system designers and automated optimization systems alike will have to monitor closely the dynamics of both processing and communication facilities. Especially the latter is often neglected in current systems since network performance in cloud computing plays only a minor role. In this paper, we propose the architecture of MECPerf, which is a solution to collect network measurements in a live edge computing domain, to be collected for offline provisioning analysis and simulations, or to be provided in real-time for on-line system optimization. MECPerf has been validated in a realistic testbed funded by the European Commission (Fed4Fire+), and we describe here a summary of the results, which are fully available as open data and through a Python library to expedite their utilization. This is demonstrated via a use case involving the optimization of a system parameter for migrating clients in a federated edge computing system adopting the GSMA platform operator concept.

The wide availability of embedded sensor platforms and lowcost cameras—together with the developments in wireless communication—make it now possible the conception of pervasive intelligent systems based on vision. Such systems may be understood as distributed and collaborative sensor networks, able to produce, aggregate and process images in order to understand the observed scene and communicate the relevant information found about it. In this paper, we investigate the peculiarities of visual sensor networks with respect to standard vision systems and we identify possible strategies to accomplish image processing and analysis tasks over them. Although the rather strong constraints in computational and transmission power of embedded platforms that may prevent the use of state of the art computer vision and pattern recognition methods, we argue that multinode processing methods may be envisaged to decompose a complex task into a hierarchy of computationally simpler problems to be solved over the nodes of the network. These ideas are illustrated by describing an application of visual sensor network to infomobility. In particular, we consider an experimental setting in which several views of a parking lot are acquired by the sensor nodes in the network. By integrating the various views, the network is capable to provide a description of the scene in terms of the available spaces in the parking lot.

Short-range wireless technologies will enable vehicles to communicate and coordinate their actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11p (and related standards) had been the only practical solution for years, in 2016 a new option was introduced with Release of 14 long-term evolution (LTE), which includes new features to enable direct vehicle-to-vehicle (V2V) communications. LTE-V2V promises a more efficient use of the channel compared to IEEE 802.11p, thanks to an improved PHY layer and the use of orthogonal resources at the MAC layer. In LTE-V2V, a key role is played by the resource allocation algorithm and increasing efforts are being made to design new solutions to optimize the spatial reuse. In this context, an important aspect still little studied, is therefore that of identifying references that allow, first, to have a perception of the space in which the resource allocation algorithms move and, second, to verify the performance of new proposals. In this paper, we focus on a highway scenario and identify two algorithms to be used as a minimum and maximum reference in terms of the packet reception probability (PRP). The PRP is derived as a function of various parameters that describe the scenario and settings, from the application to the physical layer. Results, obtained both in a simplified Poisson point process scenario and with realistic traffic traces, show that the PRP varies considerably with different algorithms and that there is room for the improvement of current solutions.

none 12 si In this paper we present D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe), an innovative and energy efficient High Performance Computing cluster designed by E4 Computer Engineering for PRACE (Partnership for Advanced Computing in Europe). D.A.V.I.D.E. is built using best-in-class components (IBM’s POWER8-NVLink CPUs, NVIDIA TESLA P100 GPUs, Mellanox InfiniBand EDR 100 Gb/s networking) plus custom hardware and an innovative system middleware software. D.A.V.I.D.E. features (i) a dedicated power monitor interface, built around the BeagleBone Black Board that allows high frequency sampling directly from the power backplane and scalable integration with the internal node telemetry and system level power management software; (ii) a custom-built chassis, based on OpenRack form factor, and liquid cooling that allows the system to be used in modern, energy efficient, datacenter; (iii) software components designed for enabling fine grain power monitoring, power management (i.e. power capping and energy aware job scheduling) and application power profiling, based on dedicated machine learning components. Software APIs are offered to developers and users to tune the computing node performance and power consumption around on the application requirements. The first pilot system that we will deploy at the beginning of 2017, will demonstrate key HPC applications from different fields ported and optimized for this innovative platform. open Abu Ahmad, Wissam; Bartolini, Andrea; Beneventi, Francesco; Benini, Luca; Borghesi, Andrea; Cicala, Marco; Forestieri, Privato; Gianfreda, Cosimo; Gregori, Daniele; Libri, Antonio; Spiga, Filippo; Tinti, Simone Abu Ahmad, Wissam; Bartolini, Andrea; Beneventi, Francesco; Benini, Luca; Borghesi, Andrea; Cicala, Marco; Forestieri, Privato; Gianfreda, Cosimo; Gregori, Daniele; Libri, Antonio; Spiga, Filippo; Tinti, Simone

This paper presents a kind of design scheme about radar echo wave signal processing system based on digital signal processor (TMS320C6416) and FPGA (EP2C8Q). This scheme is used to timely monitor radar echo data and then calculates it. Distance of target items can be obtained by this method. Take advantage of flexibility and easy-processing complicated data of FPGA and DSP, we promote property of this system to a large extent

Background Workplace absenteeism increases significantly during influenza epidemics. Sick leave records may facilitate more timely detection of influenza outbreaks, as trends in increased sick leave may precede alerts issued by sentinel surveillance systems by days or weeks. Sick leave data have not been comprehensively evaluated in comparison to traditional surveillance methods. The aim of this paper is to study the performance and the feasibility of using a detection system based on sick leave data to detect influenza outbreaks. Methods Sick leave records were extracted from private French health insurance data, covering on average 209,932 companies per year across a wide range of sizes and sectors. We used linear regression to estimate the weekly number of new sick leave spells between 2016 and 2017 in 12 French regions, adjusting for trend, seasonality and worker leaves on historical data from 2010 to 2015. Outbreaks were detected using a 95%-prediction interval. This method was compared to results from the French Sentinelles network, a gold-standard primary care surveillance system currently in place. Results Using sick leave data, we detected 92% of reported influenza outbreaks between 2016 and 2017, on average 5.88 weeks prior to outbreak peaks. Compared to the existing Sentinelles model, our method had high sensitivity (89%) and positive predictive value (86%), and detected outbreaks on average 2.5 weeks earlier. Conclusion Sick leave surveillance could be a sensitive, specific and timely tool for detection of influenza outbreaks.

This paper presents the results of cement-based mortars characterizations that were taken from rendered layers of military bunkers in the Rupnik Line. The Rupnik Line was conceived as a part of the fortified defence system protecting the Rapallo Border between the Kingdom of Italy and the Kingdom of Yugoslavia, established in 1920. The bunkers were built between 1938 and 1941, and the renders of various compositions were applied as a camouflage layer that merged the bunkers with the environment. Results of petrographic examination and microstructural and chemical analysis of the samples confirmed that locally available crushed dolomite or limestone sands were used as an aggregate in the mortars. As binders, pure Portland cement or a mixture of cement and ground granulated blast furnace slag were used. The selection of the aggregate and binder type in a particular mortar was based on the colour of the artificial stone produced. All samples with the dolomite aggregate show the presence of alkali-aggregate reactions, dedolomitization of the grains and secondary calcite formation in the cement binder, along with the Mg-Al, Mg-Si and Mg-Al-Si phase formations. In mortar compositions with a high Portland cement content, the presence of delayed ettringite formation was also confirmed.

This demo paper presents a new sensor focusing on the measurement of real time foot plantar pressure distribution. IEE S.A. releases a single insole-solution for daily usage in order to acquire information on the plantar load dispersion in a large range of shoe configurations. The new High-Dynamic Force-Sensing Resistor (HD-FSR) multi-cell smart insole sensor enables advanced real-time gait analysis applications.

This paper presents an approach that helps to discover geographic locations from the recognition, extraction, and geocoding of urban addresses found in Web pages. Experiments that evaluate the presence and incidence of urban addresses in Web pages are described. Experimental results, based on a collection of over 4 million documents from the Brazilian Web, show the feasibility and effectiveness of the proposed method.

Recently, wireless communication systems have been diversified. Planar antennas which are small and conformity are demanded from the points of carrying and designing. In addition, the radiation characteristics which satisfy utility condition are expended. In this paper, a planner antenna which is printed on dielectric substrate backed with conductor plane is proposed as an unidirectional antenna. Also the planar antennas with posts are proposed, too. There planar antennas are analyzed by FDTD method. Characteristics such as return loss and radiation are obtained. The results are shown in figures. From the results the planar antennas are useful for mobile communication systems and wireless LAN.

Background: In a previous paper, we have demonstrated that: (1) local injection of corticosteroids for carpal tunnel syndrome (CTS) is as effective as decompressive surgery, at 1-year follow-up; and (2) surgery has an additional benefit in the 2-year follow-up. In this study, we assess the long-term outcomes of both therapies in an observational extension of the patients originally enrolled in our randomized clinical trial. Methods: Patients were included in an open, randomized clinical trial, comparing injections versus surgery in CTS. After the end of the clinical trial, patients received the treatment prescribed by their general practitioner or specialist. Therapeutic failure was defined as the need of any new therapeutic intervention on the involved wrist. Comparison between groups was made using Cox multiple regression analysis. Estimation of the accumulated incidence of new therapeutic failure was made considering the withdrawal as a competitive risk (Gooley’s test). Results: Of 163 randomized wrists at the beginning of the study, only 148 were available at the final follow-up. The mean follow-up was 6.3 and the median was 5.9 years. In the long-term follow-up, the accumulated incidence of therapeutic failure in the surgery group was 11.6% versus 41.8% in the injection group. The Cox multiple regression analysis showed a risk of failure associated with injection group of 4.5 (95% confidence interval [CI], 2.1-9.8; P < .0001). Conclusions: In long-term follow-up, surgery seems more effective than local corticosteroid injections in primary CTS. Nonetheless, about 58% of the patients in the injection group will not need further therapeutic interventions during the follow-up.

Shariah screening discards the firms that belong to impermissible business sectors (or sin industries) and follow capital structure with high debt and current assets. This study tests whether the firms passing Shariah screening have better (or worse) governance quality as compared to firms not subjected to Islamic screening. The screened firms may have lesser governance quality as they cannot use debt to discipline managers or achieve optimal capital structure. On the contrary, they may be better governed as these firms get higher presence of institutional investors and better analyst coverage. This paper provides comparison of governance quality of Shariah compliant (SC) firms in United States by using proprietary dataset of Dow Jones US Indices. The screened firms offer ground for a natural experiment as they pass negative ethical screening and meet financial criteria for the inclusion in the index. The findings suggest that the SC firms have lesser governance quality than Shariah Non-Compliant firms. The lower level of governance can be attributed to lower Size, lower Profitability, higher Dividend Payout, higher Total Risk and lower Free Cash Flow. Various robustness tests are performed to validate the findings and the results remained robust. These findings provide useful insights about the governance mechanism of SC firms that are emerging as an important alternative investment class in the last two decades.

This paper presents a novel shape descriptor to effectively and efficiently characterize the local image statistics. The proposed descriptor, termed contour covariance (CC), characterizes covariance features driven by a moving point on the shape contour at multiple scales. To calculate the covariance matrices, three basic features including texture, intensity and distance map, are extracted from the object image. Based on coefficients of the obtained covariance matrices, the proposed CC descriptor is compact yet informative, as well as invariant to rotation, translation and scale. The experimental results on two databases demonstrate the superiority and efficiency of the proposed method among the state-of-the-art methods for shape classification.

The rolling element skidding may lead to the failure of the rolling bearing. The skidding characteristics can be effectively analyzed by using dynamic response of the rolling bearing. A dynamic model is established to investigate the vibration response of the rolling bearing with local defect on inner/outer race in this paper. In the proposed model, the rolling element skidding, contact stiffness and displacement, the interaction force between ball and race, the interaction force between cage and race, elastohydrodynamic lubrication are taken into consideration. The dynamic responses of the rolling bearing with the rolling element skidding are solved by the proposed model in the time and frequency domains. The effects of defect size, rotational speed, external load, and compound factors on skidding characteristics are investigated. The proposed model is verified by the experiments. The results show that the rolling element skidding leads to the significant difference of dynamic characteristics in the time and frequency domains, which aggravates the failure of the rolling bearings.

This paper is based on an investigation into the performance of cold-formed C-channels stiffened with cover plates and subjected to pure bending and primarily shear condition tests. Cover plates with three different thicknesses (1.6, 2 and 2.4 mm) were installed at top flanges only as it would be the predicted location for local and distortional buckling. The local and distortional buckling capacities were evaluated via Direct Strength Method, DSM, in accordance with AISI 2007. The accuracy of the interaction equation between the required flexural strength, M, and the required shear strength, V, prescribed by AISI 2007 was also investigated in this paper. A nonlinear finite element model was developed and verified against the test results in terms of maximum strength and buckling failure modes. The results explicitly showed that by attaching the cover plate on top flanges, the non-dimensional slenderness decreased resulted in improved buckling capacities, where the nominal flexural moment of sections, Mn, were close to the plastic moment, MP. Besides, it was concluded that the interaction equation between M and V predicted by AISI was conservative for sections with small non-dimensional slenderness values.

Extant research suggests that the most significant elements of a family firm’s socioemotional wealth (SEW) can drive financial reporting decisions. This paper explores this empirically by analyzing corporate disclosures of a case organization – Guinness, a multinational family brewing firm – over an extended period. We identify the presence of the SEW dimensions in the firm’s corporate disclosures and explore the relationship between the most salient SEW dimension (family identity) and readability, measured by the Bog index. The analysis finds a positive association between family identity and readability in the period when the firm under study can be defined as a family firm. Other SEW dimensions do not appear to have an influence on readability. In addition, at the end of the period of study, when the firm under study ceased to be a family firm, the SEW dimensions failed to have an effect on readability.

Integrated mechanical resonators with high quality factors (Q) made in high acoustic velocity materials are essential for a wide range of applications, including chemical sensors, timing resonators, and high-performance inertial sensors for navigation in GPS-occluded environments. While silicon is the most popular substrate for the implementation of microelectromechanical systems (MEMS) resonators, SiC exhibits an exceptionally small intrinsic phononic dissipation due to its low Akhiezer damping limit. This paper reports on the latest developments of precision deep reactive ion etching (DRIE) of monocrystalline 4H SiC-on-Insulator (SiCOI) substrates with the aim to fully take advantage of the exquisite mechanical properties of crystalline SiC. To wit, capacitive Lamé mode micromechanical resonators exhibit ƒ·Q products beyond 1 × 1014 Hz independent of crystalline orientation. The contribution of surface roughness to dissipation and practical considerations to etch mirror-polished trenches in SiCOI substrates are discussed, paving the way towards micromechanical monocrystalline SiC resonators with Qs beyond 100 Million.

Base Station Cooperation (BSC) is one of the key technologies for next generation cellular systems. The BSC can improve channel capacity at the cell-edge unlike conventional single cell transmission. In this paper, we will study about beam tilt angle of base station antennas for the BSC systems. In conventional systems, beam tilt angle is designed to maximize the power of its own cell while minimizing the power from adjacent cells to reduce Inter-Cell Interference (ICI). Unfortunately, performance at the cell-edge cannot be improved since Signal-to-Interference Ratio (SIR) is unchanged regardless of the beam tilt angle. However, since the problem of ICI is removed in the BSC system, beam tilt angle is required to be designed differently from the conventional way. In this paper, we will derive optimal beam tilt angle for the BSC systems based on these considerations. For that purpose, an objective function to maximize average channel capacity of cooperative cell is defined, and the optimal beam tilt angle is derived by solving the problem. By numerical analysis, it is shown that the optimal beam tilt angle for the BSC system is smaller than that of the single cell transmission. By using the optimal base station antennas, channel capacity of the BSC system is greatly improved, especially at the cell-edge.

For the realization of future wireless networks, gigabit wireless technology which can achieve higher-than-1Gbps data transmission with extremely low transmit power is indispensable. We have been studying the distributed antenna network (DAN) and the frequency-domain wireless signal processing. In DAN, many antennas or clusters of antennas are spatially distributed over a service area and they are connected by means of optical fiber links with DAN signal processing center (SPC). A number of distributed antennas cooperatively serve mobile users using spatial multiplexing, diversity, array or relaying technique. In this paper, the recent research advances of gigabit DAN and its related wireless techniques are introduced.

With the imminent digitalisation of the manufacturing processes of gas turbine components, a large volume of geometric data of as-manufactured parts is being generated. This geometric data can be used in aerodynamic simulations to predict component performance. Both the cost and accuracy of these simulations increase with their fidelity. To efficiently exploit Digital Twin technology, one must therefore understand how realistic the aerodynamic simulations need to be to give useful performance predictions. This paper considers this issue for a sample of scrapped high-pressure turbine rotor blades from a civil aero engine. The measured geometric data was used to build aerodynamic models of varying degrees of realism, ranging from quasi-three-dimensional blade sections for an Euler solver to three-dimensional, multi-passage and multi-stage Reynolds-Averaged-Navier-Stokes models. The flow near the tip of these shrouded blades is sensitive to manufacturing variability and can switch between two quasi-stable horseshoe vortex modes. In general, capacity and exit flow angle can be adequately predicted by three-dimensional, single-passage calculations: averaging single-passage calculations gives a good prediction of the multi-passage behaviour. For efficiency and stage loading, the approach of averaging single-passage calculations is less accurate as the multi-passage behaviour requires an accurate prediction of the horseshoe vortex modes.

This paper examines ethics in international trade from several different ethical perspectives, including consequentialism, utilitarianism, virtue ethics and deontology. The views of Aristotle, Plato, Adam Smith, Bentham, Kant, Pareto, Rawls, Flew, Nozick, Bastiat and others are discussed and contrasted. Flow charts are provided to reflect the utilitarian and rights approaches to trade. Utilitarianism is shown to be structurally deficient for several reasons that cannot be overcome. Antidumping laws and sanctions are shown to be negative-sum games. Antidumping laws are seen for what they are, tools of rent-seeking in which some influential minority seeks to use the powers of government to protect them from competition, which harms the vast majority of the population. Any trade restrictions must necessarily violate someone’s property, contract and/or association rights. The only way to achieve a just trade policy is to allow individuals, and the corporations that represent them, to trade what they have for what they want without government interference. The view that trade deficits are bad and trade surpluses are good is dismantled. The present paper also includes a bibliography on trade, including links to more than 100 studies on trade.

Difference types of DC-DC converter are used in various electronic devices and applications for so many years. But conventional converter cannot afford in high voltage and high current applications. Many researchers have been tried to full-fill the requirements. In this paper, dual stage double boost DC-DC converter is used for data center, high voltage vehicles and renewable system. Many control methods are developed for the control of DC-DC converter. To obtain a control method has the best performance under any condition is always demand. The main objective of this paper is to study the voltage mode control of proposed converter based on fuzzy logic controller (FLC) under the response of different parameters of proposed converter using Matlab/Simulink Software. &nbsp

In this paper, we present SoDa, an irradiance-based synthetic Solar Data generation tool to generate realistic sub-minute solar photovoltaic (PV) output power time series, that emulate the weather pattern for a certain geographical location. Our tool relies on the National Solar Radiation Database (NSRDB) to obtain irradiance and weather data patterns for the site. Irradiance is mapped onto a PV model estimate of a solar plant’s 30-min power output, based on the configuration of the panel. The working hypothesis to generate high-resolution (e.g. 1 second) solar data is that the conditional distribution of the time series of solar power output given the cloud density is the same for different locations. We therefore propose a stochastic model with a switching behavior due to different weather regimes as provided by the cloud type label in the NSRDB, and train our stochastic model parameters for the cloudy states on the high-resolution solar power measurements from a Phasor Measurement Unit (PMU). In the paper we introduce the stochastic model, and the methodology used for the training of its parameters. The numerical results show that our tool creates synthetic solar time series at high resolutions that are statistically representative of the measured solar power and illustrate how to make use of the tool to create synthetic data for arbitrary sites in the footprint covered by the NSRDB.

Acylcarnitine analysis for the diagnosis of organic acidemias and particularly of fatty acid oxidation (FAO) disorders plays an increasingly prominent role in all venues of clinical biochemical genetics: prenatal diagnosis, newborn screening, evaluation of symptomatic patients, and postmortem screening. Almost exclusively performed by tandem mass spectrometry (MS/MS), plasma/serum is the primary specimen type in diagnostic settings. Blood dried on filter paper is analyzed for newborn screening and together with bile in the postmortem evaluation of cases of sudden and unexpected death. Cell-free supernatant of amniotic fluid is used for the prenatal diagnosis of selected inborn errors of metabolism. Cultured fibroblasts or amniocytes can be probed with FAO substrates and carnitine. Cell cultures deficient of an FAO enzyme will accumulate specific acylcarnitine species when incubated with substrates such as palmitate, allowing for the diagnosis of FAO disorders and several organoacidopathies. Acylcarnitine analysis using stable isotope-labeled internal standards provides quantitative data for acylcarnitine species. However, to provide meaningful results to referring health care providers, it is critical to complement analytical proficiency with in-depth interpretation of results as is true for many other examples of complex metabolic profiles.

As a relatively new metaheuristic in swarm intelligence, fireworks algorithm (FWA) has exhibited promising performance on a wide range of optimization problems. This paper aims to improve FWA by enhancing fireworks interaction in three aspects: 1) Developing a new Gaussian mutation operator to make sparks learn from more exemplars; 2) Integrating the regular explosion operator of FWA with the migration operator of biogeography-based optimization (BBO) to increase information sharing; 3) Adopting a new population selection strategy that enables high-quality solutions to have high probabilities of entering the next generation without incurring high computational cost. The combination of the three strategies can significantly enhance fireworks interaction and thus improve solution diversity and suppress premature convergence. Numerical experiments on the CEC 2015 single-objective optimization test problems show the effectiveness of the proposed algorithm. The application to a high-speed train scheduling problem also demonstrates its feasibility in real-world optimization problems.

International audience; The industrial internet of things (IIoT) known as industry 4.0, is the use of internet of things technologies, via the Wireless Sensor Network (WSN), to enhance manufacturing and industrial processes. It incorporates machine learning and big data technologies, to allow machine-to-machine communication that have existed for years in the industrial world. Therefore, it is necessary to propose a robust and functional communication architecture that is based on WSNs, inside factories, in order to show the great interest in the connectivity of things in the industrial environment. In such environment, propagation differs from other conventional indoor mediums, in its large dimensions, and the nature of objects and obstacles inside. Thus, the industrial medium is modeled as a fading channel affected by an impulsive and Gaussian noise. The objective of this paper is to improve robustness and performances of multi-user WSN architecture, based on Discrete Wavelet Transform, under an industrial environment using conventional channel coding and an optimal thresholding receiver.

SummaryBased on a survey of more than 2000 enterprises and the case analysis of a typical enterprises, this paper attempts to explore the characteristics of patenting development and the factors influencing patenting in Zhejiang in China. The paper proposes that patenting in Zhejiang enterprises is mainly affected by the technological capabilities of the enterprises and legal regime for IPR. A survey of these enterprises reveals that the technological capabilities of most are still at the stage of imitation and the number of the patents is rather small, compared with the large number of enterprises, though some leading enterprises are climbing the evolutionary ladder from primitive to creative imitation and becoming active in patenting. During the past 20 years the environment for IP protection has been greatly improved with the innovation of IP systems in Zhejiang, which encourage enterprise innovation, patent application and patenting management. The paper finally gives some suggestions on how to improv...

A major drawback of nonlinear dimensionality reduction (DR) techniques is their inability to preserve some authentic information from the source domain, leading to projections that are often hard to interpret when it comes to observing anything other than the topological structure of the data. In this paper, we propose a nonlinear DR approach enforcing projection constraints resulting from an a priori knowledge about the structure of the data in multivariate periodical time series. We then propose several ways of exploiting this constrained projection to extract user-relevant information, such as the nominal behavior of a periodical dynamical system or the deviant behaviors which may occur at different time scales. The techniques are demonstrated on both a synthetic dataset composed of simulated multivariate data exhibiting a periodical behavior, and a real dataset corresponding to six months of sensor data acquisitions and recordings inside experimental buildings. 1 We would like to thank the Institut National de l'Energie Solaire (INES) and the CEA, LITEN, Laboratoire Energetique du Bâtiment for providing the data.

It is still not well understood how the media affect anti-immigrant party voting. In this paper, we argue and demonstrate empirically that mere exposure to immigration- and crime-related news is positively related to the likelihood that a voter casts a vote for an anti-immigrant party. On the basis of a media content analysis (N = 20,084 news items) in combination with a voter panel survey (N = 17,014 respondents) conducted in 11 European countries we find for several anti-immigrant parties that – ceteris paribus – exposure to news about immigration or crime increases voters' probabilities to vote for these parties. We discuss our findings in light of prior research on issue ownership, and their implications for the role of the mass media in established democracies.