Tele-EEG in the UK: a report of over 1000 patients

2012 ◽  
Vol 18 (5) ◽  
pp. 243-246 ◽  
Author(s):  
Steven Coates ◽  
Anne Clarke ◽  
Geoffrey Davison ◽  
Victor Patterson

Clinical neurophysiology is the medical specialty in the UK responsible for training doctors in the interpretation of electroencephalograms (EEGs). At present it is difficult to recruit doctors to train in clinical neurophysiology which causes difficulty in delivering services. We established a tele-EEG service to record and report on EEGs at a UK hospital which was unable to attract a resident clinical neurophysiologist. The EEGs were recorded in digital format and placed on a web server to be read by a clinical neurophysiologist in another part of the UK. Where possible this was done using NHS web servers and email, but a back-up system was established using other systems with suitable encryption. A total of 1007 EEGs were reported in 13 months from patients of all ages, epilepsy being the commonest reason for referral. All cases were reported within 24 h of recording. The back-up system was used in 60 cases. Tele-EEG is a feasible, secure, timely and effective method of providing an EEG service to hospitals which cannot recruit a resident clinical neurophysiologist.

Author(s):  
Ibrahim Mahmood Ibrahim ◽  
Siddeeq Y. Ameen ◽  
Hajar Maseeh Yasin ◽  
Naaman Omar ◽  
Shakir Fattah Kak ◽  
...  

Today, web services rapidly increased and are accessed by many users, leading to massive traffic on the Internet. Hence, the web server suffers from this problem, and it becomes challenging to manage the total traffic with growing users. It will be overloaded and show response time and bottleneck, so this massive traffic must be shared among several servers. Therefore, the load balancing technologies and server clusters are potent methods for dealing with server bottlenecks. Load balancing techniques distribute the load among servers in the cluster so that it balances all web servers. The motivation of this paper is to give an overview of the several load balancing techniques used to enhance the efficiency of web servers in terms of response time, throughput, and resource utilization. Different algorithms are addressed by researchers and get good results like the pending job, and IP hash algorithms achieve better performance.


2020 ◽  
Vol 26 (6) ◽  
pp. 379-380
Author(s):  
Christopher O'Loughlin

SUMMARYTraining in neuroscience is vital to the future of psychiatry as a medical specialty. Trainees and trainers alike demonstrate a desire to keep up to date with developments in the associated scientific fields. Neuroscience increasingly underpins clinical assessments, treatment options and patients’ expectations. Psychiatry training in the UK can embrace neuroscience at many levels, from discussing patient presentations with supervisors, to teaching programmes supported by the Royal College of Psychiatrists’ activities. Although challenges remain, neuroscience literacy enhances the specialty and will improve patient care.


2009 ◽  
pp. 366-379
Author(s):  
Jijun Lu ◽  
Swapna S. Gokhale

With the rapid development and widespread use of the Internet, Web servers have become a dominant source of information and services. The use of Web servers in business and critical application domains imposes stringent performance requirements on them. These performance requirements cast a direct influence on the choice of the configuration options of the hardware and the software infrastructure on which a Web server is deployed. In addition to the selection of configuration options, for a given level of load and a particular hardware and software configuration, it is necessary to estimate the performance of a Web server prior to deployment.


BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e023060 ◽  
Author(s):  
Paul A Tiffin ◽  
James Orr ◽  
Lewis W Paton ◽  
Daniel T Smith ◽  
John J Norcini

ObjectivesTo compare the likelihood of success at selection into specialty training for doctors who were UK nationals but obtained their primary medical qualification (PMQ) from outside the UK (‘UK overseas graduates’) with other graduate groups based on their nationality and where they gained their PMQ. We also compared subsequent educational performance during postgraduate training between the graduate groups.DesignObservational study linking UK medical specialty recruitment data with postgraduate educational performance (Annual Review of Competence Progression (ARCP) ratings).SettingDoctors recruited into national programmes of postgraduate specialist training in the UK from 2012 to 2016.Participants34 755 UK-based trainee doctors recruited into national specialty training programmes with at least one subsequent ARCP outcome reported during the study period, including 1108 UK overseas graduates.Main outcome measuresOdds of being deemed appointable at specialty selection and subsequent odds of obtaining a less versus more satisfactory category of ARCP outcome.ResultsUK overseas graduates were more likely to be deemed appointable compared with non-EU medical graduates who were not UK citizens (OR 1.29, 95% CI 1.16 to 1.42), although less so than UK (OR 0.25, 95% CI 0.23 to 0.27) or European graduates (OR 0.66, 95% CI 0.58 to 0.75). However, UK overseas graduates were subsequently more likely to receive a less satisfactory outcome at ARCP than other graduate groups. Adjusting for age, sex, experience and the economic disparity between country of nationality and place of qualification reduced intergroup differences.ConclusionsThe failure of recruitment patterns to mirror the ARCP data raises issues regarding consistency in selection and the deaneries’ subsequent annual reviews. Excessive weight is possibly given to interview performance at specialty recruitment. Regulators and selectors should continue to develop robust processes for selection and assessment of doctors in training. Further support could be considered for UK overseas graduates returning to practice in the UK.


2019 ◽  
Vol 96 (1131) ◽  
pp. 14-20
Author(s):  
Margaret Aslet ◽  
Lewis W Paton ◽  
Thomas Gale ◽  
Paul A Tiffin

Purpose of the studyTo explore which factors increase the likelihood of being deemed appointable to core anaesthesia training in the UK and whether those factors subsequently predict performance in postgraduate training.Study designObservational study linking UK medical specialty recruitment data with postgraduate educational performance, as measured by Annual Review of Competence Progression (ARCP) outcomes. Data were available for 2782 trainee doctors recruited to anaesthesia core training from 2012 to 2016 with at least one subsequent ARCP outcome.ResultsBoth higher interview and shortlisting scores were independent and statistically significant (p≤0.001) predictors of more satisfactory ARCP outcomes, even after controlling for the influence of postgraduate exam failure. It was noted that a number of background variables (eg, age at application) were independently associated with the odds of being deemed appointable at recruitment. Of these, increasing age and experience were also negative predictors of subsequent ARCP rating. These influences became statistically non-significant once ARCP outcomes associated with exam failure were excluded.ConclusionsThe predictors of ‘appointability’ largely also predict subsequent performance in postgraduate training, as indicated by ARCP ratings. This provides evidence for the validity of the selection process. Our results also suggest that greater weight could be applied to shortlisting scores within the overall process of ranking applicants for posts.


First Monday ◽  
1997 ◽  
Author(s):  
Jussara M. Almeida ◽  
Virgilio Almeida ◽  
David J. Yates

Server performance has become a crucial issue for improving the overall performance of the World-Wide Web. This paper describes WebMonitor, a tool for evaluating and understanding server performance, and presents new results for realistic workloads. WebMonitor measures activity and resource consumption, both within the kernel and in HTTP processes running in user space. WebMonitor is implemented using an efficient combination of sampling and event-driven techniques that exhibit low overhead. Our initial implementation is for the Apache World-Wide Web server running on the Linux operating system. We demonstrate the utility of WebMonitor by measuring and understanding the performance of a Pentium-based PC acting as a dedicated WWW server. Our workloads use file size distributions with a heavy tail. This captures the fact that Web servers must concurrently handle some requests for large audio and video files, and a large number of requests for small documents, containing text or images. Our results show that in a Web server saturated by client requests, up to 90% of the time spent handling HTTP requests is spent in the kernel. These results emphasize the important role of operating system implementation in determining Web server performance. It also suggests the need for new operating system implementations that are designed to perform well when running on Web servers.


Author(s):  
Ingrid Chilán González ◽  
Francisco Bolaños Burgos ◽  
Navira Angulo Murillo ◽  
Gabriel Rodolfo García Murillo

El presente trabajo realiza un análisis de revisión bibliográfica de ataques ransomware en Servidores Web basados en Sistemas Operativos Linux y Windows. Por ello se realizó un análisis comparativo de vulnerabilidad de los Servidores de aplicaciones JBoss, Apache y estructura de base de datos Redis. Los resultados evidencian que los ataques con mayor frecuencia están dirigidos a los Hospitales teniendo en cuenta que los cibercriminales suelen pedir entre $200 y $500 dólares para restaurar los archivos, para el caso del ransomware Samsam para Windows, el atacante interviene la red de la organización vía SSH se autentica al Servidor JBoos. A partir del estudio realizado se puede concluir  con una matriz  de análisis, de ataques ransomware de varias familias CTB-loker, SamSam, CryptoWall 4.0, Linux.Enconder y FairWare y un listado de herramientas de alerta temprana contra ataques ransomware visto que cifran los directorios de los Sitios Web, por ende permite plantear trabajos futuros de nuevos tipos de ransomware por medio de herramientas de simulación.PALABRAS CLAVE: Ransomware; Servidor Web; Linux; Windows.ANALYSIS OF RANSOMWARE ATTACKS ON WEB SERVERS, LINUX AND WINDOWSABSTRACTThe present work performs an analysis of bibliographic review of ransomware attacks in Web Servers based on Linux and Windows Operating Systems. Therefore, a comparative vulnerability analysis of the JBoss Application Servers, Apache and Redis database structure was carried out. The results show that the most frequent attacks are directed to Hospitals taking into account that cybercriminals usually request between $ 200 and $ 500 dollars to restore the files, for the Samsam for Windows ransomware case, the attacker intervenes the organization's network via SSH authenticates to the JBoos Server. From the study carried out it can be concluded with a matrix of analysis, ransomware attacks of several families CTB-loker, SamSam, CryptoWall 4.0, Linux. Enconder and FairWare and a list of tools for early warning against ransomware attacks seen that encrypt the directories of the Websites, therefore allows to propose future works of new types of ransomware by means of simulation tools.KEYWORDS: Ransomware; Web Server; Linux; Windows.


Author(s):  
Kadiyala Ramana ◽  
M. Ponnavaikko

With the rising popularity of web-based applications, the primary and consistent resource in the infrastructure of World Wide Web are cluster-based web servers. Overtly in dynamic contents and database driven applications, especially at heavy load circumstances, the performance handling of clusters is a solemn task. Without using efficient mechanisms, an overloaded web server cannot provide great performance. In clusters, this overloaded condition can be avoided using load balancing mechanisms by sharing the load among available web servers. The existing load balancing mechanisms which were intended to handle static contents will grieve from substantial performance deprivation under database-driven and dynamic contents. The most serviceable load balancing approaches are Web Server Queuing (WSQ), Server Content based Queue (QSC) and Remaining Capacity (RC) under specific conditions to provide better results. By Considering this, we have proposed an approximated web server Queuing mechanism for web server clusters and also proposed an analytical model for calculating the load of a web server. The requests are classified based on the service time and keep tracking the number of outstanding requests at each webserver to achieve better performance. The approximated load of each web server is used for load balancing. The investigational results illustrate the effectiveness of the proposed mechanism by improving the mean response time, throughput and drop rate of the server cluster.


2021 ◽  
Vol 3 (3) ◽  
pp. 368-375
Author(s):  
Aep Setiawan ◽  
Rifa Ade Rahmah

College of Vocational IPB University (SV-IPB) uses a client-server system as an information technology architecture. The server provides several services that are used to assist the teaching and learning process at the IPB Vocational School. The application used to provide services is the Modular Object-Oriented Dynamic Learning Environment (MOODLE) which is used for e-learning. SV-IPB provides two Virtual Machines which are used as a web server and a database server. The use of a single web server to replace the request is certainly less stable because there is no web server to back it up so that the service will stop. This situation states that the use of a single web server does not have high information (high available). To overcome this problem, the cluster technology can be used to group several web servers in SV-IPB. The web server clustering technology used is the Gluster File System (GlusterFS) with the volume type used, namely Distributed-replicated volume. Based on the tests that have been carried out, this project can solve the problem that has been described earlier that "one web server is down, there is still another web server that can so that the client request process does not stop. In addition, the clustering technology used is required for the use of load balancing web servers so that it can reduce the load on each server because the request process will be sent alternately between web servers.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Andrew James Amos ◽  
Kyungmi Lee ◽  
Tarun Sen Gupta ◽  
Bunmi S. Malau-Aduli

Abstract Purpose There is growing concern that inequities in methods of selection into medical specialties reduce specialist cohort diversity, particularly where measures designed for another purpose are adapted for specialist selection, prioritising reliability over validity. This review examined how empirical measures affect the diversity of specialist selection. The goals were to summarise the groups for which evidence is available, evaluate evidence that measures prioritising reliability over validity contribute to under-representation, and identify novel measures or processes that address under-representation, in order to make recommendations on selection into medical specialties and research required to support diversity. Method In 2020–1, the authors implemented a comprehensive search strategy across 4 electronic databases (Medline, PsychINFO, Scopus, ERIC) covering years 2000–2020, supplemented with hand-search of key journals and reference lists from identified studies. Articles were screened using explicit inclusion and exclusion criteria designed to focus on empirical measures used in medical specialty selection decisions. Results Thirty-five articles were included from 1344 retrieved from databases and hand-searches. In order of prevalence these papers addressed the under-representation of women (21/35), international medical graduates (10/35), and race/ethnicity (9/35). Apart from well-powered studies of selection into general practice training in the UK, the literature was exploratory, retrospective, and relied upon convenience samples with limited follow-up. There was preliminary evidence that bias in the measures used for selection into training might contribute to under-representation of some groups. Conclusions The review did not find convincing evidence that measures prioritising reliability drive under-representation of some groups in medical specialties, although this may be due to limited power analyses. In addition, the review did not identify novel specialist selection methods likely to improve diversity. Nevertheless, significant and divergent efforts are being made to promote the evolution of selection processes that draw on all the diverse qualities required for specialist practice serving diverse populations. More rigorous prospective research across different national frameworks will be needed to clarify whether eliminating or reducing the weighting of reliable pre-selection academic results in selection decisions will increase or decrease diversity, and whether drawing on a broader range of assessments can achieve both reliable and socially desirable outcomes.


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