200,087 research outputs found
Central banks and different policies implemented in response to the recent Financial Crisis
No full textRescue cases involving guarantees (contrasted with restructuring cases) during the recent Financial Crisis, have illustrated the prominent position which the goal of promoting financial stability has assumed over that of the prevention or limitation of possible distortions of competition which may arise when granting State aid. The recent Financial Crisis has also illustrated how the traditional role of central banks has been extended to incorporate more innovative roles. The reduction of interest rates by central banks to all time lows – along with other unprecedented actions which have been undertaken by central banks, as evidenced by the recent Financial Crisis, have been regarded as „extensions of traditional methods of operation which have resulted in a new territory in which tools have been implemented in very new ways.“ As well as providing an analysis of how the traditional role of central banks has evolved through the duration of the Financial Crisis, this paper attempts to highlight how far central banks and governments should intervene and how far distortions of competition should be permitted during periods of financial crises.competition; central banks; recapitalisation; stability; regulation; financial crises; fundamentally sound financial institutions; macro prudential; Basel III; systemic risk; supervision; liquidity; state aid; monetary policy
Pathogenicity of Mycoplasma agalactiae subsp. bovis in goat mammary gland
No full textClinical mastitis developed in three goats after inoculation into the mammary gland with 105 colony-forming units (cfu)/ml of a local strain of M. agalactiae subsp. bovis. The infection was characterized by pyrexia, reduction in milk yield and acute purulent inflammation of the lactiferous sinus and ducts, necrosis of the duct epithelium and, by the fifth day, early proliferation of chronic inflammatory cells in the parenchyma..RE: 9 ref.; SC: ZA; CA; VE; BE; 0I; 0V; 0DSource type: Electronic(1) http://upei-resolver.asin-risa.ca?sid=SP:CABI&id=pmid:&id=&issn=0378-1135&isbn=&volume=1&issue=1&spage=19&pages=19-22&date=1976&title=Veterinary%20Microbiology&atitle=Pathogenicity%20of%20Mycoplasma%20agalactiae%20subsp.%20bovis%20in%20goat%20mammary%20gland.&aulast=Ojo&pid=%3Cauthor%3EOjo%2c%20M%20O%3bIkede%2c%20B%20O%3C%2Fauthor%3E%3CAN%3E19772295088%3C%2FAN%3E%3CDT%3EJournal%20article%3C%2FDT%3
Experimental evaluation of a Lora wildlife monitoring network in a forest vegetation area
No full textSmart agriculture and wildlife monitoring are one of the recent trends of Internet of Things (IoT) applications, which are evolving in providing sustainable solutions from producers. This article details the design, development and assessment of a wildlife monitoring application for IoT animal repelling devices that is able to cover large areas, thanks to the low power wide area networks (LPWAN), which bridge the gap between cellular technologies and short range wireless technologies. LoRa, the global de-facto LPWAN, continues to attract attention given its open specification and ready availability of off-the-shelf hardware, with claims of several kilometers of range in harsh challenging environments. At first, this article presents a survey of the LPWAN for smart agriculture applications. We proceed to evaluate the performance of LoRa transmission technology operating in the 433 MHz and 868 MHz bands, aimed at wildlife monitoring in a forest vegetation area. To characterize the communication link, we mainly use the signal-to-noise ratio (SNR), received signal strength indicator (RSSI) and packet delivery ratio (PDR). Findings from this study show that achievable performance can greatly vary between the 433 MHz and 868 MHz bands, and prompt caution is required when taking numbers at face value, as this can have implications for IoT applications. In addition, our results show that the link reaches up to 860 m in the highly dense forest vegetation environment, while in the not so dense forest vegetation environment, it reaches up to 2050 m
UMAP 2014 Extended Proceedings. Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization, co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014. Proceedings of PEGOV 2014: Personalization in e-Government Services, Data and Applications
No full textIFRS harmonization and foreign direct investment
No full textIFRS refers to International Financial Reporting Standards, which are the guidelines that provide the framework for accounting works. The principles are also known as the International Accounting Standards (IAS). This global financial concept was first introduced in 2001 to equip investors with analyzed ac- counting statements. In this Chapter we review the relation between IFRS and Foreign Direct Investments (FDIs). We review the relevant literature that analyses the effects on IFRS on FDIs and cross-border acquisitions. The economic literature states that the introduction of IFRS has presented an important increase in FDIs. The evidence shows that IFRS adopting countries attract investments from countries that implemented IFRS and non-IFRS implementing countries.Depto. de Organización de EmpresasFac. de Ciencias Económicas y EmpresarialesTRUEpu
Network Performance Evaluation of a LoRa-based IoT System for Crop Protection against Ungulates
No full textInternet of Things (IoT) applications are deeply revolutionizing our lives, due to the continuous, outstanding development of innovative platforms including, for instance, accurate sensors, cloud solutions, and involving relevant advancements in standards and protocols. One of the recent trends of IoT applications is smart agriculture, which is evolving to solve several relevant problems from producers. In this paper, we present an IoT solution for precision agriculture aimed at repelling ungulates and preventing damages to crop fields. Moreover, this paper provides an in-depth technical description of a complete architecture we designed and deployed for this application, that consists of the low-power wide-area network (LPWAN) and the backend system. The deployment also explores the performance of LoRa network in terms of its reliability in a rural area under different scenarios, i.e., in an open, dense and very dense vegetation environments. Experimental results show that vegetations have high impact on LoRa performance. Finally, this paper discusses how the proposed technology is the right one for smart agriculture in relation to crop protection
Design, Development and Evaluation of an Intelligent Animal Repelling System for Crop Protection Based on Embedded Edge-AI
No full textIn recent years, edge computing has become an essential technology for real-time application development by moving processing and storage capabilities close to end devices, thereby reducing latency, improving response time and ensuring secure data exchange. In this work, we focus on a Smart Agriculture application that aims to protect crops from ungulate attacks, and therefore to significantly reduce production losses, through the creation of virtual fences that take advantage of computer vision and ultrasound emission. Starting with an innovative device capable of generating ultrasound to drive away ungulates and thus protect crops from their attack, this work provides a comprehensive description of the design, development and assessment of an intelligent animal repulsion system that allows to detect and recognize the ungulates as well as generate ultrasonic signals tailored to each species of the ungulate. Taking into account the constraints coming from the rural environment in terms of energy supply and network connectivity, the proposed system is based on IoT platforms that provide a satisfactory compromise between performance, cost and energy consumption. More specifically, in this work, we deployed and evaluated various edge computing devices (Raspberry Pi, with or without a neural compute stick, and NVIDIA Jetson Nano) running real-time object detector (YOLO and Tiny-YOLO) with custom-trained models to identify the most suitable animal recognition HW/SW platform to be integrated with the ultrasound generator. Experimental results show the feasibility of the intelligent animal repelling system through the deployment of the animal detectors on power efficient edge computing devices without compromising the mean average precision and also satisfying real-time requirements. In addition, for each HW/SW platform, the experimental study provides a cost/performance analysis, as well as measurements of the average and peak CPU temperature. Best practices are also discussed and lastly, this article discusses how the combined technology used can help farmers and agronomists in their decision making and management process
Diagnóstico del Ojo rojo para el médico de atención Primaria
No full textEl ojo rojo es uno de los motivos de consulta más comunes en atención ocular primaria, y el médico no oftalmólogo tiene la vital función de discernir cuando se trata de una patología que pueda amenazar la visión. En este artículo revisamos el enfoque diagnóstico del ojo rojo de acuerdo a nuestra experiencia profesional y empleando Medline para localizar artículos sobre el tema. Adicionalmente sugerimos un flujograma que esperamos guíe al médico de atención primaria al enfrentarse a estos casos. [ Galvis V, Tello A, Díaz CA. Diagnóstico del ojo rojo para el médico de atención primaria. MedUNAB 2008; 11: 231-238 ].Palabras clave: Ojo rojo, Conjuntivitis, Uveitis, Glaucoma, Queratitis. 
The two ojo sites.
No full text<p>Ojo A (A) and Ojo B (B) during recruitment substrate deployment (time zero). The low pH-Ω<sub>arag</sub> zones (x) are within 10m of ambient zones (y) at each site.</p
Edge-AI Platform for Realtime Wildlife Repelling
No full textIn this paper, we present the architecture of a Smart Industry inspired platform designed for Agriculture 4.0 applications and, specifically, to optimize an ecosystem of SW and HW components for animal repelling. The platform implementation aims to obtain reliability and energy efficiency in a system aimed to detect, recognize, identify, and repel wildlife by generating specific ultrasound signals. The wireless sensor network is composed of OpenMote hardware devices coordinated on a mesh network based on the 6LoWPAN protocol, and connected to an FPGA-based board. The system, activated when an animal is detected, elaborates the data received from a video camera connected to FPGA-based hardware devices and then activates different ultrasonic jammers belonging to the OpenMotes network devices. This way, in real-time wildlife will be progressively moved away from the field to be preserved by the activation of specific ultrasonic generators. To monitor the daily behavior of the wildlife, the ecosystem is expanded using a time series database running on a Cloud platform
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