On semble s'acheminer vers une vague En Marche de forte magnitude aux prochaines Législatives. Si Les Républicains espèrent limiter la casse, c'est à dire avec un perte d'une centaine de députés. L'enjeu de LR, c'est l'après avec en ligne de mire, un...

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

1. La PS5 Slim avec lecteur de disque est de retour à prix réduit avec ce code promo spécial Black Friday  Frandroid
2. Les scalpers surestiment l’engouement pour la PS5 Pro et se retrouvent avec une console invendable  jeuxvideo.com
3. Test de la PS5 Pro : la nouvelle console de Sony est-elle faite pour vous ?  Frandroid
4. Test PS5 Pro : un tournant pour les consoles de jeu  Canard PC
5. La meilleure offre pour acheter la PS5 Pro dès son lancement !  Midi Libre

Ghislaine Maxwell, condamnée en juin à vingt ans de prison pour trafic sexuel de mineures, a affirmé dans une interview diffusée lundi qu'elle aurait aimé "ne jamais avoir rencontré" Jeffrey Epstein, dont elle se dit convaincue "qu'il a été assassiné".

L'ex-mondaine britannique a été condamnée en juin à New York pour trafic sexuel de mineures pour le compte du financier américain décédé, accusé d'exploitation sexuelle de dizaines de mineures. "J'aimerais honnêtement ne l'avoir jamais rencontré", a-t-elle affirmé à propos de son ancien compagnon, dans l'entretien accordé depuis sa prison aux Etats-Unis à la chaîne britannique TalkTV. 

"Clairement (...) le fait que je travaille avec lui et que je passe du temps avec lui et que je le connaisse a détruit ma vie et blessé énormément de gens qui me sont chers et que j'aime", a-t-elle affirmé. Elle a souligné qu'elle ne "savait pas" qu'Epstein était "aussi horrible" même si "évidemment maintenant, quand on regarde en arrière, bien sûr que oui".

Le financier américain, accusé d'avoir, entre 2002 et 2005 au moins, fait venir des mineures dans ses résidences "pour se livrer à des actes sexuels avec lui", a été retrouvé pendu dans sa cellule le 10 août 2019. Si l'autopsie confirme un suicide par pendaison, Mme Maxwell se dit elle convaincue "qu'il a été assassiné".

Déjà dimanche, des extraits de l'interview avaient été publiés et Mme Maxwell y prenait la défense du prince Andrew, affirmant qu'une photo montrant le frère du roi Charles III avec une jeune fille qui l'a ensuite accusé d'agressions sexuelles était "un faux". 

L'Américaine Virginia Giuffre, aujourd'hui âgée de 39 ans, accuse le prince de l'avoir agressée sexuellement à trois reprises en 2001, quand elle avait 17 ans. Elle a affirmé l'avoir rencontré par l'entremise d'Epstein.

Andrew, ami de Ghislaine Maxwell et Jeffrey Epstein, a scellé avec elle en février 2022 un accord à l'amiable, en payant des millions de dollars, ce qui lui a permis d'éviter un procès au civil à New York, qui aurait été extrêmement embarrassant pour la famille royale britannique.

Le prince de 62 ans, tombé en disgrâce après ces accusations, a toutefois toujours contesté les accusations. Selon des journaux britanniques, il étudie désormais les options légales pour tenter d'annuler l'accord avec Virginia Giuffre.

In this paper, a second-order sliding mode adaptive controller with finite time stability is proposed for trajectory tracking of robotic systems. In order to reduce the chattering phenomenon in the response of the variable structure resistant controller, two dependent sliding surfaces are used. In the outer loop, a kinematic controller is used to compensate the geometric uncertainty of the robot, and in the inner loop, the proposed resistive control is used as the main loop. On the other hand, considering the dynamic uncertainty and disturbance of the robot, an adaptive strategy has been used to estimate the uncertainty limit during the control process in order to eliminate the need for basic knowledge to determine the uncertainty limit in the resistant structure. The proposed control method demonstrates significant enhancements in performance, with the linear velocity error improving by approximately 80%, leading to a more accurate and responsive system.

The current study has outlined slow fashion (SF) research trends and created a future research agenda for this field. It is a thorough analysis of the literature on slow fashion. Numerous bibliometric features of slow fashion have been discussed in the paper. This study comprises 182 research articles from the Scopus database. The database was utilised for bibliometric analysis. To identify certain trends in the area of slow fashion, a bibliometric study is done. For bibliometric analysis, the study employed R-software (the Biblioshiny package). Here, VOSviewer software is used to determine the co-occurrence of authors, countries, sources, etc. The study has outlined the gap that still exists in the field of slow fashion. Here, the research outcome strengthens the domain of slow fashion for sustainable consumption. The study findings will be useful for policymakers, industry professionals, and researchers.

To explore the computer-aided translation technology based on the intelligent algorithm of edge computing. This paper presents the research on computer-aided translation technology based on edge computing intelligent algorithm. In the K-means computer edge algorithm, it analyses the traditional way of average resource allocation and the way of virtual machine allocation. In the process of online solution, we have a more detailed understanding of the data information at the edge, and also avoid the connection relationship between network users and the platform, which has a certain impact on the internal operation efficiency of the system. The network user group is divided into several different types of existence through K-means computer algorithm, and various information resources are counted according to their own characteristics. Computer-aided translation technology can significantly improve the quality of translation, improve the translation efficiency, and reduce the translation cost.

Over recent decades, advanced economies have been characterised by reduced rates of productivity. In this article, we advance the hypothesis that one of the potential causes of this trend might be the new knowledge capitalisation practices. Capitalisation of intangible assets is justified by the limited exhaustibility of knowledge, which implies its slow obsolescence, and hence, having the potential of being capitalised to reflect its prolonged period of contribution to productivity. However, the capitalisation of an increasing proportion of the assets that initially were accounted for as labour or intermediate inputs is having a direct effect on increasing capital and theoretical output and reducing total factor productivity (TFP). Our empirical analysis based on US-listed firms shows that the capitalisation of knowledge strongly reduces both the levels of TFP, and because of its fast increase in the last two decades, its rates of growth.

The notion of creative slack purposefully refers to the notion of organisational slack proposed by Penrose (1959), who suggested that managers in organisations always have some stock of unused resources that inevitably accumulate when developing projects and are the primary factors determining the growth and innovation of the firm. In this contribution, we aim at adding a new dimension to the notion of organisational slack. Our view is that in many innovative organisations the slack of unused ideas is essentially a creative one, which is accumulated in diverse communities through multiple projects. This creative slack is a key intangible asset and a source of knowledge creation and innovation. To explain how organisations may benefit from exploiting the creative slack accumulated by communities, we rely on the analysis of two case studies, that of the Hydro-Québec Research Institute (IREQ), and of Ubisoft Montreal.

This paper contributes to the limited research on roles ICT can play in impression-management strategies and is based on case studies done in the Swedish Police. It also gives a theoretical contribution by adopting a holistic approach to explain how ICT can contribute to giving a misleading picture of conditions. Output generated by ICT has nowadays a central role in follow-up activities and decision-making. Even if this type of output, often in colourful, presentable, graphical arrangements, gives the impression of being accurate and reliable there is a risk of defective data quality. The phenomena can be described as a process divided into five steps. The first step is about how the data is generated and/or collected. The second step is linked to how the data is registered. The third step is about the output generated from the ICT-systems. The fourth step is how the output of ICT is selected for presentation. The fifth step concerns how output generated by ICT is interpreted. This paper shows that ICT can easily be used in impression-management strategies. For example, that personnel take shortcuts to affect the statistics rather than applying methods that may give the desired effects.

Aim/Purpose: 5G and IoT are two path-breaking technologies, and they are like wall and climbers, where IoT as a climber is growing tremendously, taking the support of 5G as a wall. The main challenge that emerges here is to secure the ecosystem created by the collaboration of 5G and IoT, which consists of a network, users, endpoints, devices, and data. Other than underlying and hereditary security issues, they bring many Zero-day vulnerabilities, which always pose a risk. This paper proposes a security solution using network slicing, where each slice serves customers with different problems. Background: 5G and IoT are a combination of technology that will enhance the user experience and add many security issues to existing ones like DDoS, DoS. This paper aims to solve some of these problems by using network slicing and implementing an Intrusion Detection System to identify and isolate the compromised resources. Methodology: This paper proposes a 5G-IoT architecture using network slicing. Research here is an advancement to our previous implementation, a Python-based software divided into five different modules. This paper’s amplification includes induction of security using pattern matching intrusion detection methods and conducting tests in five different scenarios, with 1000 up to 5000 devices in different security modes. This enhancement in security helps differentiate and isolate attacks on IoT endpoints, base stations, and slices. Contribution: Network slicing is a known security technique; we have used it as a platform and developed a solution to host IoT devices with peculiar requirements and enhance their security by identifying intruders. This paper gives a different solution for implementing security while using slicing technology. Findings: The study entails and simulates how the IoT ecosystem can be variedly deployed on 5G networks using network slicing for different types of IoT devices and users. Simulation done in this research proves that the suggested architecture can be successfully implemented on IoT users with peculiar requirements in a network slicing environment. Recommendations for Practitioners: Practitioners can implement this solution in any live or production IoT environment to enhance security. This solution helps them get a cost-effective method for deploying IoT devices on a 5G network, which would otherwise have been an expensive technology to implement. Recommendation for Researchers: Researchers can enhance the simulations by amplifying the different types of IoT devices on varied hardware. They can even perform the simulation on a real network to unearth the actual impact. Impact on Society: This research provides an affordable and modest solution for securing the IoT ecosystem on a 5G network using network slicing technology, which will eventually benefit society as an end-user. This research can be of great assistance to all those working towards implementing security in IoT ecosystems. Future Research: All the configuration and slicing resources allocation done in this research was performed manually; it can be automated to improve accuracy and results. Our future direction will include machine learning techniques to make this application and intrusion detection more intelligent and advanced. This simulation can be combined and performed with smart network devices to obtain more varied results. A proof-of-concept system can be implemented on a real 5G network to amplify the concept further.

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

Aim/Purpose: In this paper we propose an ecosystem for translational learning that combines core learning principles with a multilevel construct that embraces the tenets of translational research, namely, teaming, translating, and implementing. The goal of the paper is to argue that knowledge of learning sciences is essential at the individual, team, and organizational levels in the translational science enterprise. Background: The two decades that we can now call the translational era of health and medicine have not been without challenges. Many inroads have been made in navigating how scientific teaming, translating knowledge across the health spectrum, and implementing change to our health systems, policies, and interventions can serve our changing global environment. These changes to the traditional health science enterprise require new ways of understanding knowledge, forging relationships, and managing this new tradition of science. Competency requirements that have become important to the enterprise are dependent on a deep understanding about how people learn as individuals, in teams, and within organizations and systems. Methodology: An individual, team, and organizational conceptual framework for learning in translational ecosystems is developed drawing on the learning science literature, a synthesis of 9 key learning principles and integrated with core competencies for translational science. Contribution: The translational learning ecosystem is a means by which to understand how translational science competencies can be reinforced by core learning principles as teaming, translating, and implementation intersect as part of the translational science enterprise. Findings: This paper connects learning science to tailored principles in a simplified way so that those working translational science with less knowledge of theories of learning and pedagogy may be able to access it in a clear and concise way. Recommendation for Researchers: This paper provides a framework for researchers who engage in the education of translational scientists as well as those who are charged with training new scientists in an emerging field critical to health and medicine. Future Research: The translational ecosystem described can serve to expand how teaching and learning impact scientific advances. In addition, it serves as a means in which to understand the impact of learning on micro, meso, and macro levels.

Despite the proliferation of strategy process and practice research, we lack understanding of the historical embeddedness of strategic processes and practices. In this paper, we present three historical approaches with the potential to remedy this deficiency. First, realist history can contribute to a better understanding of the historical embeddedness of strategic processes; in particular, comparative historical analysis can explicate the historical conditions, mechanisms, and causality in strategic processes. Second, interpretative history can add to our knowledge of the historical embeddedness of strategic practices, and microhistory can specifically help to understand the construction and enactment of these practices in historical contexts. Third, poststructuralist history can elucidate the historical embeddedness of strategic discourses, and genealogy can in particular increase our understanding of the evolution and transformation of strategic discourses and their power effects. Thus, this paper demonstrates how in their specific ways historical approaches and methods can add to our understanding of different forms and variations of strategic processes and practices, the historical construction of organizational strategies, and historically constituted strategic agency.

The Primary Arms SLx 1-6x24mm SFP Illuminated Rifle Scope Gen IV for just $299.19 with FREE Shipping after a coupon code at checkout.

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PETALING JAYA: The Cisco 2024 AI Readiness Index revealed that only 14% of organisations in Malaysia are fully prepared to deploy and leverage artificial intelligence-powered technologies, up slightly from 13% a year ago.

This underscores the challenges companies face in adopting, deploying, and fully leveraging AI. Given the rapid market evolution and the significant impact AI is anticipated to have on business operations, this readiness gap is especially critical.

The Index is based on a double-blind survey of 3,660 senior business leaders from organisations with 500 or more employees across 14 markets in Asia-Pacific, Japan, and China (APJC). These leaders are responsible for AI integration and deployment within their organisations. The AI readiness index is measured across six pillars – strategy, infrastructure, data, governance, talent, and culture.

AI has become a cornerstone for business strategy, and there is increasing urgency among companies to adopt and deploy AI technologies. In Malaysia, 98% of companies report an increased urgency to deploy AI in the past year, driven primarily by the CEO and leadership team. Additionally, companies are committing a significant amount of resources towards AI, with 55% reporting that as much as 10% to 30% of their information technology (IT) budget is being allocated to AI deployment.

Despite significant AI investments in strategic areas such as cybersecurity, IT infrastructure, and data analytics and management, many companies report that returns on these investments are not meeting their expectations.

“As companies accelerate their AI journeys, it’s critical they adopt a comprehensive approach to implementation and connect the dots to link AI ambition with readiness,” said Cisco Malaysia managing director Hana Raja.

“This year's AI Readiness Index reveals that to fully leverage the potential of AI, companies need a modern digital infrastructure capable of meeting evolving power needs and network latency requirements from growing AI workloads. This must be supported with the right visibility to achieve their business objectives.”

Anupam Trehan, vice-president, people and communities APJC, at Cisco, said: “As the race to adopt AI picks up pace, talent will be a key differentiator for companies. There is already a shortage of skilled talent across various aspects of AI. This means companies will need to invest in their existing talent pool to meet the growing demand. At the same time, it is crucial that all stakeholders – the private and public sectors, educational institutions, and governments – work together to develop local talent so that the entire ecosystem can benefit from the immense potential that AI offers.”

Mercedes-Benz Malaysia has introduced a few new AMG models to their lineup here which are the Mercedes-AMG G63, AMG SL 63 4MATIC+, AMG GLE 63 S 4MATIC+ Coupe and the AMG GLC 43 4MATIC Coupe.

G63 AMG

The all-new Mercedes-AMG G63 made waves when it was introduced to the world earlier this year. It marks the continuation of an icon and is now powered by the tried-and-tested AMG 4.0-litre V8 Bi-Turbo engine. It puts out 585hp and 850Nm of torque.

One of the key new features is the combination of the 48-volt technology and an integrated starter generator (ISG). This lets the new G63 put out an additional 20hp and 200Nm for a short burst.

In terms of performance, the AMG G63 accelerates to 100km/h in just 4.4 seconds as the AMG Speedshift TCT 9G transmission providing ultra quick shifts, while top speed is rated at 220km/h. The top speed goes up to 240km/h with the optional AMG Performance Package.

All that bulk is kept in check with the AMG Active Ride Control suspension with active, hydraulic roll stabilisation and adaptive adjustable damping.

In terms of design, the new G63 is distinguished by the new AMG-specific radiator shell and large air inlet grille in the front bumper. The AMG Night Package on the other hand adds sporty, expressive design elements in black or dark chrome.

Red-painted AMG brake callipers with perforated brake discs are a silent hint at what the car is capable of while 22-inch AMG cross-spoke forged wheels round off the exterior.

For the interior, the Superior Line interior transforms the inside into a luxurious lounge. Highlights include a sliding sunroof, instrument panel in nappa leather, diamond design elements and active multi-contour seats including massage seats and seat climate control which are part of the Energizing Package. The interior is further enhanced with AMG Carbon-Fibre and Nappa leather upholstery.

Entertainment is provided by the Burmester 3D surround sound system which provides an immersive experience through the Dolby Atmos feature. Entertainment and other features such as navigation can be accessed through the 12.3-inch infotainment system that offers the MBUX Augmented Reality Navigation which superimposes graphic navigation and traffic information on line imagine on the infotainment screen.

The new Mercedes-AMG G63 is priced from RM1,948,888 without insurance and individualisation.

THE tragic crash of a Tesla Model Y in Toronto in October has raised serious concerns about the accessibility and usability of the car’s electronic door handles during emergencies. The fiery accident claimed the lives of four individuals: Neelraj Gohil (25), his sister Ketaba Gohil (29), Jay Sisodiya, and Digvijay Patel, leaving a sole survivor, a woman in her 20s.

The woman’s escape was made possible by Rick Harper, a Canada Post employee, who heroically smashed the car’s window with a metal pole. Harper described the survivor as “desperate to get out,” but unable to open the car’s doors from inside. Tesla vehicles rely on an electronic button to open doors rather than traditional handles, and if the car’s power system fails in a crash, the doors may become inoperable.

Concerns About Tesla’s Safety Design

While Tesla promotes a “safety-first design” and manual override mechanisms for emergencies, these features are not widely known or intuitive. The manual override involves removing a door panel and pulling a hidden cable — a process that could be difficult or impossible in the chaos and panic of a serious accident.

Safety experts and crash investigators have raised concerns that victims may not be aware of the override feature or may lack the presence of mind to locate and use it under duress.

The Accident

The Tesla reportedly crashed into a guardrail at high speed along Lake Shore Boulevard East. The cause of the accident is still under investigation, but the crash’s aftermath has drawn attention to Tesla’s safety protocols, particularly in situations involving power failure. The National Highway Traffic Safety Administration (NHTSA) has several ongoing investigations into the Tesla Model Y, ranging from “unexpected brake activation” to “sudden unintended acceleration.”

A Heroic Rescue Effort

Harper’s quick action saved the survivor, but he was unaware that others were trapped inside due to the dense smoke. “I didn’t know there were other people in there. The smoke was so thick,” he said. It remains unclear if the other passengers also struggled to open the doors.

Broader Implications

This tragedy underscores the need for automakers to improve safety features in EVs, especially during power failures. Intuitive and easily accessible escape mechanisms are critical, and greater public awareness of emergency procedures is vital.

As investigators work to determine the exact cause of the crash, this incident highlights the balance that must be struck between advanced technology and real-world practicality in automotive safety.

Can't really say, Justin, without knowing how the Independent manages its content and social media presence. I have had two very interesting private conversations with a web content manager and a PR/social media consultant neither of whom, I hasten to add, work for The Independent. Both said that pressure is put on them to get as many "shares" and click throughs as possible. One confirmed that some of their clients clearly state in the commissioning briefs that titles are changed for social media to increase the click rate and that their performance is assessed and payments adjusted accordingly.

But the conclusion must be that The Independent, and not Facebook, is in the wrong here. (Although I suppose there could / should be an FB algorithm to prioritise the real title?)

I don't think we can blame Facebook for the misuse of the tags. They provide the technology and alternative social media titles usually do describe at least part of the original content, and the target audience maybe different compared with that for a website audience. In this case it has to be the Independent that is ultimately responsible, even if the title was written by a freelancer or contractor who, I presume, are paid by the Independent. It is clearly in the source code of the page on the Independent website, therefore they are responsible for it.

[…] has written a telling piece on her blog  with the example of this  newspaper article From Karen: How to write totally misleading headlines for social media :  Or how to seriously annoy intelligent people by telling deliberate […]

Or how to seriously annoy intelligent people by telling deliberate lies. A story about renewable energy has been doing the rounds within my social media circles,  and especially on FaceBook. It is an article from The Independent newspaper that has been eagerly shared by those with an interest in the subject.  The headline reads “Britain … Continue reading How to write totally misleading headlines for social media →

CCleaner is a freeware system optimization, privacy, and cleaning tool. It removes unused files from your system - allowing Windows to run faster and freeing up valuable hard disk space. Install, uninstall, and toolbar included. [License: Ad-Supported | Requires: 11|10|8|7|macOS | Size: 75 MB ]

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Leon Haslam endured another tricky weekend at the Brands Hatch BSB, despite top 10 finishes, as an "issue" limited his performances.

The post Recurring "Issue" Limits Haslam at Brands Hatch BSB appeared first on BikeSport News.

Sardar Masood says occupation forces is crushing defenceless, weak and unarmed Kashmiri people

Total revenue generated from spectrum auction process stands at over $30 million

The SBP cut its policy rate to 17.5% following a recent sharp decline in inflation

BHC summons CS, principal secretaries to PM, CM over inflated gas bills

Finding the balance between calming yoga poses & the right workout timing can make all the difference.

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We are proud to present a new video tutorial on Camera Slideshow, a popular jQuery plugin.

The post JS Animated. How to change Camera slider speed, effect and other options appeared first on Template Monster Help.

This tutorial shows how to manage slider options in Shopify template.

The post Shopify. How to manage slider options (speed, effect, autoplay) appeared first on Template Monster Help.

This tutorial shows how to change the slider image rotation speed in JS Animated templates. The slider, usually used in the JS Animated templates is called TM_Slider and as any other jQuery based slider it has various settings. Let’s see …

The post JS Animated. How to change slider speed appeared first on Template Monster Help.

An aerial view of the Port of Odense, Denmark on October 15, 2024. — AFP

At a shipyard on the North Sea, workers in luminescent vests are building dozens of massive, hollow concrete boulders, each the size of an apartment block.

These are to be floated out to sea and sunk...

The island's close vicinity to significant marine lanes in the Bay of Bengal has piqued the interest of global powers.