Northern Ireland has been shrouded in cloud, with patches of drizzle, mist, and fog for more than a week.

The Waverley Gate call centre will cease operations in December before the building closes in March 2025.

Coroner Joseph Turner says the man's medical cause of death could not be ascertained.

Simon Beech, 36, took part in riots in Stoke-on-Trent on 3 August.

The Cotswold market town's young people have been left without a permanent youth centre since 2020.

A wildlife centre in Wrea Green says the council is "setting us up to fail" in a planning row over cladding.

Lancashire Fire and Rescue Service say four crews were deployed to a derelict building in Preston.

A draft document with "ambitions" for Swindon town centre is being put to the council.

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

People react to proposals to shut an "expensive" visitor centre in a seaside town.

Bath centre Louie Hennessey signs a new "long-term" contract with the Premiership club.

A look at what stories are trending across the West of England on 13 November 2024.

Listen to the podcast for November 11, 2011 insertAdjacentHTML Mozilla has a nice overview of insertAdjacentHTML, a DOM function that's intended to supplement innerHTML. It's a bit less destructive and plays nicely with content that's already in the DOM. For instance, whereas innerHTML completely blows away whatever is inside the ...

Sound public policy ideas are needed for families and businesses to thrive

We're excited to announce that Search Central Live is returning to São Paulo on February 29, 2024. Following our successful events last year, we're continuing our mission to help Brazilian businesses enhance their site's performance in Google Search.

We're excited to announce that Search Central Live is coming to Buenos Aires on March 5, 2024. Following successful events throughout the world last year, we're continuing our mission to help website owners to enhance their site's performance in Google Search.

We're excited to announce a Search Central Live event in Bucharest, Romania on April 4, 2024. Search Central Live is our global Google Search event series specifically for site owners, publishers, and SEOs.

We're excited to announce a Search Central Live event in Warsaw, Poland on April 24, 2024. Search Central Live is our global Google Search event series specifically for site owners, publishers, and SEOs.

Search Central Live is coming back to the Asia Pacific region, bringing you insights from Google Search, fun networking opportunity, and more! This year we're aiming to visit Indonesia, Malaysia, Taiwan, and Thailand.

We're coming back to Thailand with Search Central Live! As mentioned in our blog post about our APAC plans for SCL, we now have a date and a site where you can sign up for a chance to secure your spot at Search Central Live Bangkok 2024.

As previously announced, we're coming to Kuala Lumpur and to Taipei in the last quarter of 2024. And yes, we're very excited! The KL event will be in English and the Taipei event will be conducted in Mandarin (Traditional Chinese).

Our first two Search Central Live events in Asia this year have been wrapped up and we finished looking back at what we've learned and what we can do better.

No Comment : des slackliners se balancent entre des montgolfières à 2 500 mètres d'altitude

No Comment : en Serbie, des centaines d’œufs jetés sur le siège d’Euro Lithium Balkan

1. Mobilisation - Les agriculteurs, en colère, vont organiser un barrage filtrant dans le Loiret  La République du Centre
2. L’Union européenne sacrifie l’agriculture française pour sauver l’industrie allemande  Marianne
3. Colère agricole. Retrait des panneaux routiers : peut-on contester une amende pour excès de vitesse?  Ouest-France
4. Colère des agriculteurs : la FNSEA annonce de nouvelles mobilisations  Actu Orange
5. L’appel de plus de 600 parlementaires français à Ursula von der Leyen : « Les conditions pour l’adoption d’un accord avec le Mercosur ne sont pas réunies »  Le Monde

1. Last supermoon of 2024 to shine over Central Alberta this week  Central Alberta Online
2. 4 of 4: Last supermoon of the year to light up Canadian skies  Global News Toronto
3. Beaver Moon 2024: See the final 'supermoon' of the year rise next to the 'Seven Sisters'  Livescience.com
4. See 2024’s Final ‘Supermoon’ And ‘Fireballs’: The Night Sky This Week  Forbes
5. How and when to catch the last supermoon of 2024  National Post

(Belga) Le taux de cellules commerciales vides dans le centre-ville carolo est tendanciellement à la baisse, a indiqué lundi soir lors du conseil communal de la Ville de Charleroi Babette Jandrain, l'échevine carolo du Commerce en réponse à une question qui lui était adressée.

Selon l'élue, qui a indiqué reprendre les chiffres de l'Association de Management du Centre-Ville (AMCV), le taux actuel de cellules commerciales vides dans l'intra-ring carolo est de 29% contre 33,6% en 2020. Et ce malgré le Covid et la crise énergétique qui ont mis en difficulté l'activité commerciale dans les grandes villes. Si le taux de cellules commerciales vides reste élevé à Charleroi, il n'en reste pas moins que la situation a tendance à s'améliorer, a indiqué Babette Jandrain. Les chiffres donnés par l'échevine ont été constatés par la conseillère communale du PTB Sofie Merckx, évoquant une situation de "désolation" concernant le quartier de la Ville Basse et interrogeant par ailleurs la volonté de la Ville de faire de certaines cellules vides des logements. (Belga)

(Belga) Deux personnes ont été tuées et une troisième a été gravement blessée lundi dans un centre pour jeunes à Des Moines, dans l'État américain de l'Iowa (centre), a annoncé la police.

Après un appel d'urgence, les forces de l'ordre qui se sont rendues à l'établissement "Starts Right Here", un programme d'aide aux jeunes en difficulté, ont découvert trois personnes blessées par balle, dont deux "très grièvement". "Ces deux personnes, deux élèves, sont mortes (...). La troisième personne, qui est employée par l'établissement, est dans un état grave", a dit à la presse Paul Parizek, un porte-parole de la police de Des Moines. La police n'était pas encore en mesure de préciser l'âge exact des deux victimes. "Je ne sais pas s'ils sont adultes ou (...) adolescents mineurs", a dit M. Parizek. Sur la foi de descriptions de témoins, la police a arrêté un véhicule et détenu "trois suspects potentiels". L'enquête se poursuit, a-t-elle dit dans un communiqué. La gouverneure de l'Iowa, Kim Reynolds, s'est dite "choquée et attristée" par la fusillade. (Belga)

Voice Activity Detection (VAD) distinguishes speech segments from noise or silence areas. An efficient and noise-robust VAD system can be widely used for emerging speech technologies such as wireless communication and speech recognition. In this paper, we propose two versions of an unsupervised Arabic VAD method based on the combination of the Short-Time Energy (STE) and the Spectral Centroid (SC) features for formulating a typical threshold to detect speech areas. The first version compares only the STE feature to the threshold (STE-VAD). In contrast, the second compares the SC vector and the threshold (SC-VAD). The two versions of our VAD method were tested on 770 sentences of the Arabphone corpus, which were recorded in clean and noisy environments and evaluated under different values of Signal-to-Noise-Ratio. The experiments demonstrated the robustness of the STE-VAD in terms of accuracy and Mean Square Error.

The paper reviewed the emerging roles of the 21st century librarians, charged with the responsibility to manage repository services across libraries in present-day information technology environment. Librarians need to be trained and empowered with requisite skills and knowledge needed for successful management of the ICT driven repository initiatives that the 21st century demands. Literature was reviewed on the roles and responsibilities of librarians, training needs and opportunities, career path and recruitment of librarians, and community support necessary for effective and efficient implementation and management of repository initiatives. This entails the ability to comprehend trends and change patterns which are essential for providing research focused and user-friendly models in open repository services that are based on thorough analytical understanding of the challenges of emerging trends. To achieve this requires the training and retraining of librarians to reposition them as information specialists in their career path. The role of the library as an integral part of its social environment is to educate the community about the existence of an open repository by building partnership with community-oriented research centres through seminars, workshops, symposium, training, and awareness programmes. The study recommends that librarians should strategize and collaborate with researchers to make open repository an essential research tool.

Aim/Purpose: In today’s changing economy, economic growth depends on career and technical programs for skill training. Background: This study discusses the key area in promoting individual learning and skill training and discusses the importance of career education and training as a way of promoting economic growth. Methodology : This study uses a qualitative study approach to investigate and report on the status and influence of Workforce Education and Development and its economic importance. Contribution: This report contributes to the knowledge base common to all work settings that can solve many human performance problems in the workplace. Findings: This study also justifies and validates the ideas on the importance of workforce education and development in the 21st century as a way of developing economic growth and providing learning to make individuals competitive in the global economy. Recommendations for Practitioners : For practitioners, this study suggests that we must always have discussions of what leads to career success and understanding that there is not enough high-skill/high-wage employment to go around. Therefore, developing these skills requires a decision about a career or related group of jobs to prepare to compete for them; we have to provide training needed in order to be competitive in global economy. Recommendation for Researchers: Researchers have to develop strategies to promote career direction with willingness to evaluate the level of academic interest, level of career focus and readiness for life away from home (attitudes, skills and knowledge of self). Impact on Society: Institutions must regularly evaluate curriculum to reflect the rapid technological changes and the globalization of world markets that reflect their mission and develop students’ mindset to always think big and think outside the box in order to be competitive in the global market. Change is external, transition is internal. It is important that the change agent communicate both the reasons for change and the probable consequences that people will experience during the time of this change, which is transition – a change people go through when they become unemployed or face a major employment obstacle in their lives. Future Research: New research should focus on career assessment materials and related academic programs and career directions that will promote success.

Aim/Purpose: To monitor Sustainability Development Goals (SDG) established by the United Nations through the hierarchical architecture of informing systems Background: The paper discusses the case of Poland and its Gdansk region Contribution: The solution combines the big-picture of civilization with small-picture of a nation, regions, cities, and firms Findings: The presented solution can be implemented if the political will can be secured. Recommendations for Practitioners: Take the main idea of this paper and adapt to your local case. Recommendation for Researchers: Develop some prototypes of presented informing systems and test in your local environment Impact on Society: The success of the sustainability of globalizing society can be secured if the coherent informing systems can be applied to the planning, monitoring, and implementation of the UN's universal SDG. Future Research: Work on the modeling of costs and benefits of the presented solution.

Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practice's on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendations for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area.

Aim/Purpose: The clustering techniques are normally considered to determine the significant and meaningful subclasses purposed in datasets. It is an unsupervised type of Machine Learning (ML) where the objective is to form groups from objects based on their similarity and used to determine the implicit relationships between the different features of the data. Cluster Analysis is considered a significant problem area in data exploration when dealing with arbitrary shape problems in different datasets. Clustering on large data sets has the following challenges: (1) clusters with arbitrary shapes; (2) less knowledge discovery process to decide the possible input features; (3) scalability for large data sizes. Density-based clustering has been known as a dominant method for determining the arbitrary-shape clusters. Background: Existing density-based clustering methods commonly cited in the literature have been examined in terms of their behavior with data sets that contain nested clusters of varying density. The existing methods are not enough or ideal for such data sets, because they typically partition the data into clusters that cannot be nested. Methodology: A density-based approach on traditional center-based clustering is introduced that assigns a weight to each cluster. The weights are then utilized in calculating the distances from data vectors to centroids by multiplying the distance by the centroid weight. Contribution: In this paper, we have examined different density-based clustering methods for data sets with nested clusters of varying density. Two such data sets were used to evaluate some of the commonly cited algorithms found in the literature. Nested clusters were found to be challenging for the existing algorithms. In utmost cases, the targeted algorithms either did not detect the largest clusters or simply divided large clusters into non-overlapping regions. But, it may be possible to detect all clusters by doing multiple runs of the algorithm with different inputs and then combining the results. This work considered three challenges of clustering methods. Findings: As a result, a center with a low weight will attract objects from further away than a centroid with higher weight. This allows dense clusters inside larger clusters to be recognized. The methods are tested experimentally using the K-means, DBSCAN, TURN*, and IDCUP algorithms. The experimental results with different data sets showed that IDCUP is more robust and produces better clusters than DBSCAN, TURN*, and K-means. Finally, we compare K-means, DBSCAN, TURN*, and to deal with arbitrary shapes problems at different datasets. IDCUP shows better scalability compared to TURN*. Future Research: As future recommendations of this research, we are concerned with the exploration of further available challenges of the knowledge discovery process in clustering along with complex data sets with more time. A hybrid approach based on density-based and model-based clustering algorithms needs to compare to achieve maximum performance accuracy and avoid the arbitrary shapes related problems including optimization. It is anticipated that the comparable kind of the future suggested process will attain improved performance with analogous precision in identification of clustering shapes.

Aim/Purpose: The aim of this paper is to examine the influences of KM-centred strategies on innovation capability among Malaysian R&D firms. It also deepens understanding of the pathways and conditions to improve the innovation capability by assessing the mediating role of both KM practices, i.e., knowledge exploration practices, and knowledge exploitation practices. Background: Knowledge is the main organisational resource that is able to generate a competitive advantage through innovation. It is a critical success driver for both knowledge exploration and exploitation for firms to achieve sustainable competitive advantages. Methodology: A total of 320 questionnaires were disseminated to Malaysian R&D firms and the response rate was 47 percent. The paper utilised structural equation modelling and cross-sectional design to test hypotheses in the proposed research model. Contribution: This paper provides useful information and valuable initiatives in exploring the mediating role of knowledge exploration and knowledge exploitation in influencing innovation in Malaysian R&D firms. It helps R&D firms to frame their KM activities to drive the capability of creating and retaining a greater value onto their core business competencies. Findings: The findings indicate that all three KM-centred strategies (leadership, HR practices, and culture) have a direct effect on innovation. In addition, KM exploration practices mediate HR practices on innovation while KM exploitation mediates both leadership and HR practices on innovation. Recommendations for Practitioners: This paper serves as a guide for R&D managers to determine the gaps and appropriate actions to collectively achieve the desired R&D results and national innovation. It helps R&D firms frame their KM activities to enhance the capability of creating and retaining a greater value to their core business competencies. Recommendation for Researchers: This paper contributes significantly to knowledge management and innovation research by establishing new associations among KM-centred strategies, i.e., leadership, HR practices, and culture, both KM practices (knowledge exploration and knowledge exploitation), and innovation. Impact on Society: This paper highlights the important role of knowledge leaders and the practice of effective HR practices to help R&D firms to create a positive environment that facilitates both knowledge exploration and knowledge exploitation in enhancing innovation capabilities. Future Research: Further research could use a longitudinal sample to examine relationships of causality, offering a more comprehensive view of the effect of KM factors on innovation over the long term. Future research should also try to incorporate information from new external sources, such as customers or suppliers.