MPs for Dartford and Bexleyheath and Crayford want the route extended from Abbey Wood to Ebbsfleet.

A new police station opens in a Somerset town, which aims to be "more efficient and sustainable".

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

Business future uncertain; Georgia Stone reports.

The new space includes a junior zone with bridges, slides and a nine-metre-high twisting tube.

The rabbits were found abandoned in Worcestershire on Monday evening.

The government will boost pensions of ex-miners on the MPS scheme, leaving out those on the BCSSS.

Pensioners Eddie and Maggie, from Wallsend, will get £10,000 a year after they were helped to apply.

The iPhone could finally show you how long it’ll take to finish charging. Code spotted in the second iOS 18.2 beta by 9to5Mac shows a new “BatteryIntelligence” feature that will let you […]

The post Apple to roll out ‘Battery Intelligence’ for iPhone, Amazon slashes price of 43inch Hisense smart TV to £228 appeared first on Tech Digest.

The back-row contenders come front and centre, Harlequins have a new Puma on the loose and more Premiership talking points

Championship highfliers Ealing beat Premiership side Saracens 29-19 in the opening round of the Premiership Rugby Cup.

Dr Stephenson led the Bristol Bus Boycott in 1963.

From traditional retellings to drunk adaptations.

Let anesthesiology assistants work for themselves

La revista policial estadounidense PoliceMag contiene en su web un pequeño apartado llamado Cop-Slang para familiarizarse con el lenguaje policial. Las entradas son creadas por los propios usuarios y lectores por lo que se debe de tener la debida precaución a la hora de fiarse de las entradas y de si un término se usa […]

Cuando comencé este blog por el año 2008, me propuse encontrar y compartir información valiosa para nosotros, los traductores junior, y por eso siempre tomé como referencia a muchos profesionales con más experiencia en esta profesión.

Uno de ellos es Miguel Llorens, el traductor financiero, que con su inteligencia y sarcasmo me resonaba un poco al Dr. House de la traducción.

Miguel es, tiempo presente, porque las personas que dejan huellas profundas, en algunos o no tanto en otros, no se van. Su energía deambula en los pensamientos de aquellos que mascullando sobre algún tema traductoril percibe el roce ligero de su impresión.

Por eso nos encontraremos a la vuelta de la esquina o de algún término enrevesado.

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.

Malgré un télescopage plus que dommageable avec l’affaire Ferrand – il aurait déjà dû démissionner – François Bayrou a annoncé un train de mesures visant à moraliser visant à encadrer les élus. Et bien celles-ci vont dans le bon sens. Bien sûr, on pourra...

Tensions à l'Université Lyon-3 : la classe politique condamne les attaques contre Yaël Braun-Pivet

La Russie lance un "nombre record" de drones sur l'Ukraine. Barrage de drones ukrainiens sur Moscou

Les enfants ukrainiens enlevés par la Russie destinés à servir son armée ?

1. Budget 2025 : quatre questions sur la revalorisation des pensions de retraite prévue pour janvier  franceinfo
2. Retraites revalorisées : les réactions des retraités face aux revalorisations annoncées pour janvier et juillet 2025  franceinfo
3. Annonce contestée de Laurent Wauquiez sur les retraites : « L’épisode dit toute la fragilité de cette coalition voulue par Emmanuel Macron »  Le Monde
4. Retraite : voici de combien votre pension sera revalorisée en 2025, selon votre profil  Capital.fr
5. Revalorisation des retraites : quelle hausse à partir du 1er janvier 2025 ? Qui est concerné ?  Sud Ouest

1. Aide à l'Ukraine : Antony Blinken met la pression sur les Européens avant le retour de Donald Trump  FRANCE 24
2. Les craintes des dirigeants ukrainiens face aux futures nominations annoncées par Donald Trump  Le Monde
3. «La confrontation entre Trump et Poutine est inévitable, mais que va-t-elle coûter à l’Ukraine et à l’Europe ?»  Libération
4. 24H Pujadas du mardi 12 novembre 2024 - 24 h Pujadas, l'info en questions | LCI  TF1+
5. Guerre en Ukraine : "Donald Trump souhaite parvenir à la paix le plus rapidement possible", en acceptant de céder à Poutine les territoires conquis par son armée  L'Indépendant

1. Guerre en Ukraine : Vladimir Poutine «est en train de lancer une attaque de missiles sur Kiev», avertit le chef de cabinet de Volodymyr Zelensky  CNEWS
2. Guerre en Ukraine, jour 994 : attaque massive sur Kiev, Blinken promet « une réponse ferme »  La Croix
3. Ukraine: Kiev visée par une attaque de missiles et de drones  RFI
4. Guerre en Ukraine. Alerte aérienne, soldats nord-coréens à Koursk… le point sur la nuit  Ouest-France
5. Vincent Hervouët : Trump mettra-t-il fin à la guerre en Ukraine ?  Le Journal du dimanche

1. Affaire Squarcini-LVMH : que reproche la justice à l'ancien patron du renseignement intérieur ?  franceinfo
2. Comment LVMH a échappé à un procès malgré l’espionnage de François Ruffin  Le HuffPost
3. Bernard Squarcini devant la justice pour « trafic d’influence »  Le Monde
4. Affaire Squarcini : le « Squale », comme un poisson à LVMH  Sud Ouest
5. Espionnage sur le tournage de "Merci patron" de François Ruffin, le député réclame un euro symbolique  France 3 Régions

1. Trump Taps Fox News Pundit to Be Secretary of Defense  Rolling Stone
2. Trump's defence choice stuns the Pentagon and raises questions about the Fox News host's experience  CTV News
3. How Pete Hegseth went from Fox News host to Trump’s Defense Secretary pick  CNN
4. Trump Puts Allies on Alert by Handing Pentagon to Fox News Host Hegseth  Bloomberg
5. House Democrat ‘very disturbed’ by Hegseth pick as Trump Defense secretary  The Hill

C'est la rentrￜe politique. Et qui dit rentrￜe, dit universitￜ d'ￜtￜ. Cette annￜe, la Rￜpublique en marche a vu les choses en grand en organisant ￜ la fois des journￜes...

The confluence of the internet of things (IoT) with smart grids has ushered in a paradigm shift in energy management, promising unparalleled efficiency, economic robustness and unwavering reliability. However, this integrative evolution has concurrently amplified the grid's susceptibility to cyber intrusions, casting shadows on its foundational security and structural integrity. Machine learning (ML) and deep learning (DL) emerge as beacons in this landscape, offering robust methodologies to navigate the intricate cybersecurity labyrinth of IoT-infused smart grids. While ML excels at sifting through voluminous data to identify and classify looming threats, DL delves deeper, crafting sophisticated models equipped to counteract avant-garde cyber offensives. Both of these techniques are united in their objective of leveraging intricate data patterns to provide real-time, actionable security intelligence. Yet, despite the revolutionary potential of ML and DL, the battle against the ceaselessly morphing cyber threat landscape is relentless. The pursuit of an impervious smart grid continues to be a collective odyssey. In this review, we embark on a scholarly exploration of ML and DL's indispensable contributions to enhancing cybersecurity in IoT-centric smart grids. We meticulously dissect predominant cyber threats, critically assess extant security paradigms, and spotlight research frontiers yearning for deeper inquiry and innovation.

The intelligent financial sharing platform in the online realm is capable of collecting, storing, processing, analysing and sharing financial data through the integration of AI and big data processing technologies. However, as data volume grows exponentially, the cost of financial data storage and processing increases, and the asset accounting and financial profit data sharing analysis structure in financial sharing platforms is inadequate. To address the issue of data security sharing in the intelligent financial digital sharing platform, this paper proposes a data-sharing framework based on blockchain and edge computing. Building upon this framework, a non-separable task distribution algorithm based on data sharing is developed, which employs multiple nodes for cooperative data storage, reducing the pressure on the central server for data storage and solving the problem of non-separable task distribution. Multiple sets of comparative experiments confirm the proposed scheme has good feasibility in improving algorithm performance and reducing energy consumption and latency.

Physical and social aspects each make up a separate part of servicescape. Together, these make up the servicescape. Although previous research has frequently investigated these aspects separately, the purpose of this study is to simultaneously find out the impact of both aspects within the casual dining restaurants' context. In total, 462 customers in Delhi were polled for this study, and structural equation modelling was used to analyse the data. According to the results, both the social and physical parts of the servicescape have the ability to affect how satisfied customers are, which in turn can affect how they behave in the future.

Aim/Purpose: The present study investigated and compared students’ attention in terms of time-on-task and number of distractors between using a touchscreen and a pen tablet in mathematical problem-solving activities with virtual manipulatives. Background: Although there is an increasing use of these input devices in educational practice, little research has focused on assessing student attention while using touchscreens or pen tablets in a mathematics classroom. Methodology: A qualitative exploration was conducted in a public elementary school in New Taipei, Taiwan. Six fifth-grade students participated in the activities. Video recordings of the activities and the students’ actions were analyzed. Findings: The results showed that students in the activity using touchscreens maintained greater attention and, thus, had more time-on-task and fewer distractors than those in the activity using pen tablets. Recommendations for Practitioners: School teachers could employ touchscreens in mathematics classrooms to support activities that focus on students’ manipulations in relation to the attention paid to the learning content. Recommendation for Researchers: The findings enhance our understanding of the input devices used in educational practice and provide a basis for further research. Impact on Society: The findings may also shed light on the human-technology interaction process involved in using pen and touch technology conditions. Future Research: Activities similar to those reported here should be conducted using more participants. In addition, it is important to understand how students with different levels of mathematics achievement use the devices in the activities.

Aim/Purpose: This paper provides a general-purpose categorization scheme for assessing the utility of new and emerging three-dimensional interactive digital environments (3D-IDEs), along with specific pedagogic approaches that are known to work. It argues for the use of 3D-IDEs on the basis of their ludic appeal and ability to provide intrinsic motivation to the learner, and their openness that allows the learner to gain a more holistic understanding of a topic. Background: Researchers have investigated the affordances, benefits, and drawbacks of individual 3D-IDEs, such as virtual worlds, but teachers lack a general-purpose approach to assessing new 3D-IDEs as they appear and applying them to teaching practice. Methodology: The categorization scheme is based on the analysis, reflection, and comprehension of the research on limitations, challenges, and opportunities for teaching in virtual environments by Angel Rueda, Valdes Godines and Guzmán Flores; the scheme is discussed in terms of an experiment to trial virtual genetics labs in Second Life. Contribution: The paper describes a general-purpose approach to applying existing and new 3D virtual spaces to education, shows a worked example of the use of the categories, and describes six approaches to consider in applying these technologies. Findings: 3D-IDEs are categorized in terms of the way in which they interface with the user’s senses and their ability to provide ‘immersion’; two forms of immersion are examined: digital perceptual immersion – the generated sense of reality – and ludic narrative immersion – a less cognitive and more emotional engagement with the learning environment. Recommendations for Practitioners: Six specific forms of pedagogy appropriate for 3D-IDEs are examined and discussed, in terms of the affordances and technology required, as assessed by the categorization scheme. More broadly, the paper argues for a change in the assessment of new digital technologies from the technology’s features to its affordances and the pedagogies it can support. Recommendation for Researchers: The paper offers a practical approach to choosing and using 3D-IDEs for education, based upon previous work. The next step is to trial the scheme with teachers to ascertain its ease of use and effectiveness. Impact on Society: The paper argues strongly for a new approach to teaching, where the learner is encouraged to use 3D-IDEs in a ludic manner in order to generate internal motivation to learn, and to explore the topic according to their individual learning needs in addition to the teacher’s planned route through the learning material. Future Research: The categorization scheme is intended to be applied to new technologies as they are introduced. Future research is needed to assess its effectiveness and if necessary update the scheme.

Forensic document forgery investigations have elevated the need for source identification for printed documents during the past few years. It is necessary to create a reliable and acceptable safety testing instrument to determine the credibility of printed materials. The proposed system in this study uses a neural network to detect the original printer used in forensic document forgery investigations. The study uses a deep neural network method, which relies on the quality, texture, and accuracy of images printed by various models of Canon and HP printers. The datasets were trained and tested to predict the accuracy using logical function, with the goal of creating a reliable and acceptable safety testing instrument for determining the credibility of printed materials. The technique classified the model with 95.1% accuracy. The proposed method for identifying the source of the printer is a non-destructive technique.

The purpose of this study is to explore the effect of electronic service quality subdimensions upon the behavioural and praising intentions of users engaged in internet banking. Using the survey method, 203 responses were collected from users of online banking in Turkey. A partial least square structural equation model was constructed to test both the reliability and validity of the measurement, as well as the structural model. The results indicated that emotional benefits, ease of use, and control subdimensions, which are influenced through graphical quality and layout clarity, have a significant and positive impact upon the behavioural and praising intentions of users of online banking. The study did not find support for the direct effect of layout clarity upon behavioural and praising intentions.

Corporate social responsibility (CSR) and sustainability are gaining worldwide recognition. The question of whether CSR and sustainability programs benefit an organisation's financial success is still being debated. This study aims to verify this phenomenon by examining the current literature pattern on this relationship using bibliometric and systematic review analysis. It further provides a taxonomy for understanding this association. VOSviewer is used to obtain comprehensive dataset mapping and clustering in the field. The manuscript offers promising insights regarding academia by assessing the pattern of publication trends, the most influential author in the area, and analysing the methodological and theoretical underpinnings of CSR, sustainability and firm performance linkage. The outcome of this study provides exploratory insights into research gaps and avenues for future research.

Badminton, as a fast and highly technical sport, requires high accuracy in identifying athletes' swing movements. Accurately identifying different swing movements is of great significance for technical analysis, coach guidance, and game evaluation. To improve the recognition accuracy of badminton players' swing movements, this text is based on an improved dense trajectory algorithm to improve the accuracy of recognising badminton players' swing movements. The features are efficiently extracted and encoded. The results on the KTH, UCF Sports, and Hollywood2 datasets demonstrated that the improved algorithm achieved recognition accuracy of 94.2%, 88.2%, and 58.3%, respectively. Compared to traditional methods, the innovation of research lies in optimised feature extraction methods, efficient algorithm design, and accurate action recognition. These results provide new ideas for the research and application of badminton swing motion recognition.

The phenomenon of cloud computing and related innovations such as Big Data have given rise to many fundamental changes that are evident in information and data. Managing, measuring and developing business value from the plethora of this new data has significant impact on many corporate agendas, particularly in relation to the successful implementation of business intelligence and analytics (BI&A). However, although the influence of Big Data has fundamentally changed the IT application landscape, the metrics for measuring success and in particular, the quality of information, have not evolved. The measurement of information quality and the antecedent factors that influence information has also been identified as an area that has suffered from a lack of research in recent decades. Given the rapid increase in data volume and the growth and ubiquitous use of BI&A systems in organisations, there is an urgent need for accurate metrics to identify information quality.

Conventional intelligent traffic congestion discrimination methods mainly use GPS terminals to collect traffic congestion data, which is vulnerable to the influence of vehicle time distribution, resulting in poor final discrimination effect. Necessary to design a new intelligent traffic congestion discrimination method based on wireless sensor network front-end data collection. That is to use the front-end data acquisition technology of wireless sensor network to generate a front-end data acquisition platform to obtain intelligent traffic congestion data, and then design an intelligent traffic congestion discrimination algorithm based on traffic congestion rules so as to achieve intelligent traffic congestion discrimination. The experimental results show that the intelligent traffic congestion discrimination method designed based on the front-end data collection of wireless sensor network has good discrimination effect, the obtained discrimination data is more accurate, effective and has certain application value, which has made certain contributions to reducing the frequency of urban traffic accidents.

In order to improve the comprehensiveness of evaluation results and reduce errors, a teaching reform quality evaluation method based on fuzzy comprehensive evaluation is proposed. Firstly, on the premise of meeting the principles of indicator selection, factor analysis is used to construct an evaluation indicator system. Then, calculate the weights of various evaluation indicators through fuzzy entropy, establish a fuzzy evaluation matrix, and calculate the weight vector of evaluation indicators. Finally, the fuzzy cognitive mapping method is introduced to improve the fuzzy comprehensive evaluation method, obtaining the final weight of the evaluation indicators. The weight is multiplied by the fuzzy evaluation matrix to obtain the comprehensive evaluation result. The experimental results show that the maximum relative error of the proposed method's evaluation results is about 2.0, the average comprehensive evaluation result is 92.3, and the determination coefficient is closer to 1, verifying the application effect of this method.

Presently, there are many existing academic studies on the development, protection and operation of intellectual property management (IPM). Therefore, provides a comprehensive econometric analysis in order to provide scholars, with a clearer understanding of the evolution and development of IP management research during 2000 to 2022. The study is aiming to help scholars to better discern the expanding IPM research field from a multidimensional perspective. The database used for this analysis is the Web of Science Core Collection database. After retrieval through keywords and using a variety of tools such as CiteSpace, VOSviewer, Bibliometrix and HistCite, 1033 documents were refined to conduct the econometric analysis, and produce graphs. The findings indicate that the US is a highly active country/region in the field IP management research, and its expanding IP management research is branching out into other disciplines. The study also presents the future directions and possible challenges for IPM in technology management.