Leonard Stanley School to reopen pool after fundraising drive, Mark Smith reports.

Four Army teachers are preparing to row across the Atlantic in a 3,000 mile challenge for charity.

Comedian Paddy McGuinness is attempting to cycle from Wrexham to Glasgow over five days.

A coroner rules Kelly Greer was unlawfully killed by her partner, Jonathan Parsons, at his flat.

Gracie is supported by group Echo Connect after she lost her father to cancer when she was seven.

Sandwell Council says there are currently 220 households living in temporary accommodation.

Singer Catherine Lawless features in a film about agoraphobia, showing at Headfest in Bedford.

Discover FoodCycle, which turns supermarket food waste into hot meals.

Worcestershire sign Nottinghamshire spinner Fateh Singh on a three-year deal, following his loan spell at New Road in the 2024 season.

Barrow head coach Stephen Clemence says his players have to stop the habit of squandering late leads in matches after their 1-1 draw with Colchester.

North Yorkshire councillors say £1m from the second homes tax premium will fund community-led plans.

The average home cost £581,000 at the end of September - down from £651,000 a year earlier.

The rate at which prices are rising has dropped below the Bank of England's target of 2%.

There are almost 400 active cases of reported damp or mould in social housing across Wiltshire.

The tourist information centre in Cromer has been vital for some, but is set to close.

Isabella Wheildon was made to wear dark glasses in the days before her death, a court hears.

The project's organiser says she wants to show the vibrant lives led by the care home residents.

Live Drive, SDrive, Project M, Folders, FolderShare, Windows Live Sync, Live Mesh, SkyDrive, OneDrive. Yes, Microsoft has been at this file syncing game for a long time. The company bought FolderShare back in November of 2005, and has been …

I’ve been researching the distributor space lately and watching with interest as more pop up and margins get squeezed. It’s got to a place now where you can actually distribute music for free. But what else should you be looking for other than a pipeline? I’ve spoken to a lot of artists and record labels...

Content may be king, but data sits behind the throne and has the king’s ear. 

You want to be informed by data before you make changes to your marketing strategies. This is never truer than in the case of your website, which is a rich source of behavioural analytics and, therefore, a valuable insight into your audience’s interests.

Advanced marketing techniques such as Account-based Marketing (ABM) and 1-1 marketing require a more individualised approach than traditional inbound marketing tactics. No longer can we paint with a broad brush, as marketers. We must find ways to speak directly with individuals, rather than an audience.

Gabriel Bortoleto said he was determined not to sit out a year of racing in 2025 after Sauber confirmed he will make his debut for them in Formula 1 next year.

What better time for some spooky music than Halloween week? And so today I am pleased to say the new m-orchestra mini-album A Blessing has been released for your listening delight! It features seven tracks, including the two singles that...

Let anesthesiology assistants work for themselves

Muskegon’s supply-side reforms designed to ease home price inflation

Party platform calls corporate welfare ‘unsustainable,’ but its policies are a different story

I recently accepted a large proofreading job to be completed in SDL Trados Studio 2014. All seemed to be fine until I tried to open some of the project files. This article describes how to deal with “Corrupt file: Missing … Continue reading →

Paul recently wrote a great article on what it really means to be an "open source business." Its now posted on SDTimes! Read it and you'll be able to tell the fakes apart :-).

I wrote a blog on the WSO2 Corporate Blog on growing WSO2. Check it out!

Nearly 2 years ago I tweeted:



Well, unfortunately, I had it a bit wrong.

APIs and service do have a very direct and 1-1 relationship: an API is the interface of a service. However, what is different is that one's about the implementation and is focused on the provider, and the other is about using the functionality and is focused on the consumer. The service of course is what matters to the provider and API is what matters to the consumer.

So its clearly more than just a new name.

Services: If you build it will they come?

API Management

API Management & SOA are married at the hip

WSO2 API Manager

Ross Mason of Mulesoft recently blogged: "OSGi - no thanks". Ross is a smart guy and he usually has something interesting to say. In this case, I think Ross has made a lot of good points:

1. Ross is right - OSGi is a great technology for middleware vendors.
2. Ross is right - Developers shouldn't be forced to mess with OSGi.
3. Ross is wrong - You can make both of these work together.

At WSO2 we went through exactly the same issues. We simply came to a different conclusion - that we can provide the benefits of OSGi (modularity, pluggability, dynamic loading) without giving pain to end-users. In WSO2 Carbon, customers can deploy their systems in exactly the same way that worked pre-OSGi.

Why did we choose OSGi? We also looked at building our own dynamic loading schemes. In fact, we've had dynamic classloading capabilities in our platform from day one. The reasons we went with OSGi are:

• A structured and versioned approach to dynamic classloading
• An industry standard approach - hence better understood, better skills, better resources
• It solves more than just dynamic loading: as well as providing versions and dynamic loading, it also really gives proper modularity - which means hiding classes as much as exposing classes.
• It provides (through Equinox p2) a proper provisioning model.

Publico este artículo para contestar a un comentario que he recibido y que me ha hecho reflexionar. El comentario de esta persona toca varios puntos […]

Origen

This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted series of experiments using cosine distance as our similarity measure, selecting varying numbers local interest points per page, and varying numbers of nearest neighbour points in the similarity calculations. We have found that a distance-based measure of similarity outperforms a rank-based measure except when there are few interest points. We show that using visual features substantially outperforms textbased approaches for noisy text, giving average precision in the range 0.4-0.43 in several experiments retrieving scientific papers.

Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. Here neural network weights are considered as regularization parameter values instead of explicitly specifying them. The weights are modified during the training through the supply of training set data. The desired response of the network is in the form of estimated value of the current pixel. This estimated value is used to modify the network weights such that the restored value produced by the network for a pixel is as close as to this desired response. One of the advantages of the proposed approach is that, once the neural network is trained, images can be restored without having prior information about the model of noise/blurring with which the image is corrupted.

This paper reports on the Joaquim Nabuco Project, a pioneering work in Latin America on document digitalization, enhancement, compression, indexing, retrieval and network transmission of historical document images.

We describe the design of a mobile collaborative tool that helps teams managing critical computing infrastructures in organizations, a task that is usually designated Business Continuity Management. The design process started with a requirements definition phase based on interviews with professional teams. The elicited requirements highlight four main concerns: collaboration support, knowledge management, team performance, and situation awareness. Based on these concerns, we developed a data model and tool supporting the collaborative update of Situation Matrixes. The matrixes aim to provide an integrated view of the operational and contextual conditions that frame critical events and inform the operators' responses to events. The paper provides results from our preliminary experiments with Situation Matrixes.

With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is clear, but as yet there is little evidence of realisation of the benefits. In this paper we consider Information and Communication Technology student attitudes to collaboration and via two case studies the extent to which they exploit the use of wikis for group collaboration. Even when directed to use a particular wiki designed for the type of project they are involved with, we found that groups utilized the wiki in different ways according to the affordances ascribed to the wiki. We propose that the integration of activity theory with an affordances perspective may lead to improved technology, specifically Web 2.0, assisted collaboration.

Computer Supported Collaborative Learning could highly impact education around the world if the proper Collaborative Learning tools are set in place. In this paper we describe the design of a collaborative learning activity for teaching Chemistry to Chilean students. We describe a PDA-based software tool that allows teachers to create workgroups in their classrooms in order to work on the activity. The developed software tool has three modules: one module for teachers, which runs on a PC and lets them create the required pedagogical material; second, there is a PDA module for students which lets them execute the activity; finally, a third module allows the teacher set workgroups and monitor each workgroup during the activity.

In this paper we present an approach to improving navigability of a hierarchically structured Web content. The approach is based on an integration of a tagging module and adoption of tag clouds as a navigational aid for such content. The main idea of this approach is to apply tagging for the purpose of a better highlighting of cross-references between information items across the hierarchy. Although in principle tag clouds have the potential to support efficient navigation in tagging systems, recent research identified a number of limitations. In particular, applying tag clouds within pragmatic limits of a typical user interface leads to poor navigational performance as tag clouds are vulnerable to a so-called pagination effect. In this paper, a solution to the pagination problem is discussed, implemented as a part of an Austrian online encyclopedia called Austria-Forum, and analyzed. In addition, a simulation-based evaluation of the new algorithm has been conducted. The first evaluation results are quite promising, as the efficient navigational properties are restored.

Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.

E-mail spam is no more garbage but risk since it recently includes virus attachments and spyware agents which make the recipients' system ruined, therefore, there is an emerging need for spam detection. Many spam detection techniques based on machine learning techniques have been proposed. As the amount of spam has been increased tremendously using bulk mailing tools, spam detection techniques should counteract with it. To cope with this, parameters optimization and feature selection have been used to reduce processing overheads while guaranteeing high detection rates. However, previous approaches have not taken into account feature variable importance and optimal number of features. Moreover, to the best of our knowledge, there is no approach which uses both parameters optimization and feature selection together for spam detection. In this paper, we propose a spam detection model enabling both parameters optimization and optimal feature selection; we optimize two parameters of detection models using Random Forests (RF) so as to maximize the detection rates. We provide the variable importance of each feature so that it is easy to eliminate the irrelevant features. Furthermore, we decide an optimal number of selected features using two methods; (i) only one parameters optimization during overall feature selection and (ii) parameters optimization in every feature elimination phase. Finally, we evaluate our spam detection model with cost-sensitive measures to avoid misclassification of legitimate messages, since the cost of classifying a legitimate message as a spam far outweighs the cost of classifying a spam as a legitimate message. We perform experiments on Spambase dataset and show the feasibility of our approaches.

Data warehouses integrate and aggregate data from various sources to support decision making within an enterprise. Usually, it is assumed that data are extracted from operational databases used by the enterprise. Cloud warehousing relaxes this view permitting data sources to be located anywhere on the world-wide web in a so-called "cloud", which is understood as a registry of services. Thus, we need a model of dataintensive web services, for which we adopt the view of the recently introduced model of abstract state services (AS2s). An AS2 combines a hidden database layer with an operation-equipped view layer, and thus provides an abstraction of web services that can be made available for use by other systems. In this paper we extend this model to an abstract model of clouds by means of an ontology for service description. The ontology can be specified using description logics, where the ABox contains the set of services, and the TBox can be queried to find suitable services. Consequently, AS2 composition can be used for cloud warehousing.

Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations

The increased volume of accessible internet data creates an opportunity for researchers and practitioners to improve time series forecasting for many indicators. In our study, we assess the value of web traffic data in forecasting the number of short-term visitors travelling to Australia. We propose a feature-based model selection framework which combines random forest with feature ranking process to select the best performing model using limited and informative number of features extracted from web traffic data. The data was obtained for several tourist attraction and tourism information websites that could be visited by potential tourists to find out more about their destinations. The results of random forest models were evaluated over 3- and 12-month forecasting horizon. Features from web traffic data appears in the final model for short term forecasting. Further, the model with additional data performs better on unseen data post the COVID19 pandemic. Our study shows that web traffic data adds value to tourism forecasting and can assist tourist destination site managers and decision makers in forming timely decisions to prepare for changes in tourism demand.

1. Sauvetage de Casino: les syndicats retirent leur plainte en appel après avoir conclu un accord avec la direction  Le Figaro
2. Plan de sauvetage de Casino : accord avec la direction, les représentants du personnel retirent leur plainte en appel  France 3 Régions
3. Sauvetage de Casino : un accord social enfin trouvé pour clore le dossier  Capital.fr
4. Casino: les représentants du personnel retirent leur appel formulé à l'encontre du plan de sauvegarde  Investir
5. Plan de sauvegarde de Casino : la direction trouve un accord avec le personnel  La Tribune.fr

1. ‘Been a long time since I felt that way’: Sexually transmitted infection numbers provide new hope  POLITICO
2. There are millions of sexually transmitted infections in the US every year, but new data shows the epidemic may be slowing  CNN
3. America's STD explosion laid bare and the shocking number of people catching one every minute  Daily Mail
4. At Long Last, the Surge in S.T.I.s May Be Leveling Off  The New York Times

1. McDavid closing in on 1,000 points, rare company at ‘remarkable’ pace  NHL.com
2. Draisaitl lifts in the OT winner  NHL.com
3. McDavid on brink of 1,000 points after huge performance in Oilers' OT win  Sportsnet.ca
4. McDavid's 4-point night leaves him one shy of 1,000-point milestone  TSN
5. Player grades: McDavid, Draisaitl to the rescue as Oilers pull another one out in overtime  Edmonton Journal

1. John Krasinski named People magazine's 2024 Sexiest Man Alive  CTV News
2. Sexiest Man Alive John Krasinski on His 'Beautiful Life' – and Wallpapering His House with His Sizzling PEOPLE Cover  PEOPLE
3. Krasinski thought he was being 'punked'  CTV News Calgary
4. John Krasinski Reveals Wife Emily Blunt's Hilarious Response to His Sexiest Man Alive Title - E! Online  E! NEWS
5. Emily Blunt reacts after husband is named 2024 Sexiest Man Alive  The Independent