How can you improve your negotiation skills even if you HATE to negotiate? Here 7 of my best tips to help you get what you want… #1 Ask Yourself These 2 Questions… You might think that in order to negotiate better you have to strong-arm people. Like… You walk into the room and DEMAND to […]

An untimely net-cord winner sets Tomas Martin Etcheverry on his way to victory against Dan Evans in Great Britain's opening match against Argentina at the Davis Cup in Manchester.

BBC tennis correspondent Russell Fuller on Rafael Nadal's enduring rivalry with Roger Federer and his legacy in the tennis world.

A severe weather alert in southern Spain leads to the opening tie of the Billie Jean King Cup between Spain and Poland being postponed.

Something for if you’re stuck overthinking something: Very few decisions are permanent. Almost all decisions can be reversed, altered, or adjusted.

Australian golfer Jeffrey Guan has lost sight in his left eye after being hit by a ball at a pro-am tournament.

Jez Daniels was buying wine and chocolates when store staff approached him.

Piers, who has learning difficulties and sensory issues, says he has missed being in the classroom

The exhibition showcasing 200 pieces by the renowned designer will go on display in Douglas in 2025.

Speaking to the Owls Heaven podcast, manager Danny Rohl discussed how some teams are able to be slightly off their game but it's not a luxury his side can afford.

The Cathedral is bringing back an ancient tradition not seen in the town for 200 years.

Tania Cork felt she might need an inhaler for the rest of her life after catching flu last year.

A tiny bear taken to war and handed down to his granddaughter attends every parade - in her pocket.

Potential industrial action over the plans have now been called off by a doctors union.

Her first application for a Public Service Drivers Licence was refused because she was a woman.

Books, booze and unique stocking fillers.

41 times in all.

Max Verstappen is poised to clinch the 2024 drivers' championship if he finishes ahead of Lando Norris one more time. Here's how he can seal a fourth title at the next race.

I’ve ditched the usual blurb about “not being a movies person, but anyway…” because since I started going to the cinema regularly in 2022 I’ve turned into the kind of guy who downloads the London Film Festival brochure and meticulously...

This monthly series is probably more for my benefit than yours, but maybe your interest will be piqued by one of the reviews. Maybe you’ll scroll straight past. Maybe you’ll unsubscribe thinking what did I see in this blog in...

Michigan Rising Action’s Abby Mitch on holding elected officials accountable

The paper explores the application of Web 2.0 technologies to support product development efforts in a global, virtual and cross-functional setting. It analyses the dichotomy between the prevailing hierarchical structure of CAD/PLM/PDM systems and the principles of the Social Web under the light of the emerging product development trends. Further it introduces the concept of Engineering 2.0, intended as a more bottom up and lightweight knowledge sharing approach to support early stage design decisions within virtual and cross-functional product development teams. The lessons learned collected from a cross-company study highlight how to further developblogs, wikis, forums and tags for the benefit of new product development teams, highlighting opportunities, challenges and no-go areas.

1. "Israël is Forever" : "Le sionisme religieux le plus fanatique"… avant France-Israël, un gala organisé par des personnalités franco-israéliennes d’extrême droite fait polémique  L'Indépendant
2. Match France-Israël : Pourquoi le gala « Israël for ever » organisé ce soir à Paris fait polémique ?  20 Minutes
3. Qu’est-ce que le Betar, ce mouvement juif qui organise un rassemblement le 13 novembre à Paris ?  Sud Ouest
4. Qui est Bezalel Smotrich, le ministre d’extrême droite au cœur de la polémique du gala « Israël is forever » organisé à Paris  Le Parisien
5. "La justice a tranché": Bruno Retailleau confirme la tenue d'un gala pro-Israël à Paris  BFMTV

1. Food bank usage in Toronto is higher than its ever been, says new report  CP24
2. More than 1 in 10 Torontonians now rely on food banks, 2024 saw highest number of visits ever recorded: report  NOW Toronto
3. 4 in 5 newcomers to Canada relying on food banks, Toronto report finds  National Post
4. One in 10 Toronto residents now relies on food banks: Report  Toronto Sun
5. Food bank use in Toronto breaks records — again  CBC.ca

Human behaviour, which is led by the human, emotional and occasionally fallible brain, is highly influenced by the environment in which choices are presented. This research paper explores the synergistic potential of the Internet of Behaviours (IoB) and digital nudges in the financial sector as new avenues for intervention while shedding light on the IoB benefits and the digital nudges' added value in these financial settings. Afterward, it proposes an IoB-Nudges conceptual model to explain how these two concepts would be incorporated and investigates their complementary relationship and benefits for this sector. Finally, the paper also discusses key challenges to be addressed by the IoB framework.

Aim/Purpose: This study aims to develop a solution for personalized tourism recommendations that addresses information overload, data sparsity, and the cold-start problem. It focuses on enabling tourists to choose the most suitable tourism-related facilities, such as restaurants and hotels, that match their individual needs and preferences. Background: The tourism industry is experiencing a significant shift towards digitalization due to the increasing use of online platforms and the abundance of user data. Travelers now heavily rely on online resources to explore destinations and associated options like hotels, restaurants, attractions, transportation, and events. In this dynamic landscape, personalized recommendation systems play a crucial role in enhancing user experience and ensuring customer satisfaction. However, existing recommendation systems encounter major challenges in precisely understanding the complexities of user preferences within the tourism domain. Traditional approaches often rely solely on user ratings, neglecting the complex nature of travel choices. Data sparsity further complicates the issue, as users might have limited interactions with the system or incomplete preference profiles. This sparsity can hinder the effectiveness of these systems, leading to inaccurate or irrelevant recommendations. The cold-start problem presents another challenge, particularly with new users who lack a substantial interaction history within the system, thereby complicating the task of recommending relevant options. These limitations can greatly hinder the performance of recommendation systems and ultimately reduce user satisfaction with the overall experience. Methodology: The proposed User-based Multi-Criteria Trust-aware Collaborative Filtering (UMCTCF) approach exploits two key aspects to enhance both the accuracy and coverage of recommendations within tourism recommender systems: multi-criteria user preferences and implicit trust networks. Multi-criteria ratings capture the various factors that influence user preferences for specific tourism items, such as restaurants or hotels. These factors surpass a simple one-star rating and take into account the complex nature of travel choices. Implicit trust relationships refer to connections between users that are established through shared interests and past interactions without the need for explicit trust declarations. By integrating these elements, UMCTCF aims to provide more accurate and reliable recommendations, especially when data sparsity limits the ability to accurately predict user preferences, particularly for new users. Furthermore, the approach employs a switch hybridization scheme, which combines predictions from different components within UMCTCF. This scheme leads to a more robust recommendation strategy by leveraging diverse sources of information. Extensive experiments were conducted using real-world tourism datasets encompassing restaurants and hotels to evaluate the effectiveness of UMCTCF. The performance of UMCTCF was then compared against baseline methods to assess its prediction accuracy and coverage. Contribution: This study introduces a novel and effective recommendation approach, UMCTCF, which addresses the limitations of existing methods in personalized tourism recommendations by offering several key contributions. First, it transcends simple item preferences by incorporating multi-criteria user preferences. This allows UMCTCF to consider the various factors that users prioritize when making tourism decisions, leading to a more comprehensive understanding of user choices and, ultimately, more accurate recommendations. Second, UMCTCF leverages the collective wisdom of users by incorporating an implicit trust network into the recommendation process. By incorporating these trust relationships into the recommendation process, UMCTCF enhances its effectiveness, particularly in scenarios with data sparsity or new users with limited interaction history. Finally, UMCTCF demonstrates robustness towards data sparsity and the cold-start problem. This resilience in situations with limited data or incomplete user profiles makes UMCTCF particularly suitable for real-world applications in the tourism domain. Findings: The results consistently demonstrated UMCTCF’s superiority in key metrics, effectively addressing the challenges of data sparsity and new users while enhancing both prediction accuracy and coverage. In terms of prediction accuracy, UMCTCF yielded significantly more accurate predictions of user preferences for tourism items compared to baseline methods. Furthermore, UMCTCF achieved superior coverage compared to baseline methods, signifying its ability to recommend a wider range of tourism items, particularly for new users who might have limited interaction history within the system. This increased coverage has the potential to enhance user satisfaction by offering a more diverse and enriching set of recommendations. These findings collectively highlight the effectiveness of UMCTCF in addressing the challenges of personalized tourism recommendations, paving the way for improved user satisfaction and decision-making within the tourism domain. Recommendations for Practitioners: The proposed UMCTCF approach offers a potential opportunity for tourism recommendation systems, enabling practitioners to create solutions that prioritize the needs and preferences of users. By incorporating UMCTCF into online tourism platforms, tourists can utilize its capabilities to make well-informed decisions when selecting tourism-related facilities. Furthermore, UMCTCF’s robust design allows it to function effectively even in scenarios with data sparsity or new users with limited interaction history. This characteristic makes UMCTCF particularly valuable for real-world applications, especially in scenarios where these limitations are common obstacles. Recommendation for Researchers: The success of UMCTCF can open up new avenues in personalized recommendation research. One promising direction lies in exploring the integration of additional contextual information, such as temporal (time-based) or location-based information. By incorporating these elements, the model could be further improved, allowing for even more personalized recommendations. Furthermore, exploring the potential of UMCTCF in domains other than tourism has considerable significance. By exploring its effectiveness in other e-commerce domains, researchers can broaden the impact of UMCTCF and contribute to the advancement of personalized recommendation systems across various industries. Impact on Society: UMCTCF has the potential to make a positive impact on society in various ways. By delivering accurate and diverse recommendations that are tailored to individual user preferences, UMCTCF fosters a more positive and rewarding user experience with tourism recommendation systems. This can lead to increased user engagement with tourism platforms, ultimately enhancing overall satisfaction with travel planning. Furthermore, UMCTCF enables users to make more informed decisions through broader and more accurate recommendations, potentially reducing planning stress and leading to more fulfilling travel experiences. Future Research: Expanding upon the success of UMCTCF, future research activities can explore several promising paths. Enriching UMCTCF with various contextual data, such as spatial or location-based data, to enhance recommendation accuracy and relevance. Leveraging user-generated content, like reviews and social media posts, could provide deeper insights into user preferences and sentiments, improving personalization. Additionally, applying UMCTCF in various e-commerce domains beyond tourism, such as online shopping, entertainment, and healthcare, could yield valuable insights and enhance recommendation systems. Finally, exploring the integration of optimization algorithms could improve both recommendation accuracy and efficiency.

In the context of asthma severity prediction, this study delves into the feature importance of various symptoms and demographic attributes. Leveraging a comprehensive dataset encompassing symptom occurrences across varying severity levels, this investigation employs visualisation techniques, such as stacked bar plots, to illustrate the distribution of symptomatology within different severity categories. Additionally, correlation coefficient analysis is applied to quantify the relationships between individual attributes and severity levels. Moreover, the study harnesses the power of random forest and the Gini importance methodology, essential tools in feature importance analytics, to discern the most influential predictors in asthma severity prediction. The experimental results bring to light compelling associations between certain symptoms, notably 'runny-nose' and 'nasal-congestion', and specific severity levels, elucidating their potential significance as pivotal predictive indicators. Conversely, demographic factors, encompassing age groups and gender, exhibit comparatively weaker correlations with symptomatology. These findings underscore the pivotal role of individual symptoms in characterising asthma severity, reinforcing the potential for feature importance analysis to enhance predictive models in the realm of asthma management and bioinformatics.

Labor pain and its relieving methods is one of the anxieties of mothers having a great impact on the quality of care during delivery as well as the patients' satisfaction. The propensity of using non-medicinal pain relief methods is increasing. The present study aimed to compare the effect of Acupressure at two GB-21 and SP06 points on the severity of labor pain. In this quasi-experimental single blind study started on December 2010 and ended on June 2011 in which 150 primiparous women were divided into three groups of Acupressure at GB-21 point, Acupressure at SP-6 point and control group. The intervention was carried out for 20 min at 3-4 and 20 min at 7-8 cm dilatation of Cervix. The pain severity was measured by Visual Analog Scale before and immediately, 30 and 60 min after the intervention. Then, the data were statistically analyzed. No significant difference was found among the 3 groups regarding the pain severity before the intervention. However, the pain severity it was reduced at 3-4 and 7-8 cm dilatation immediately, 30 and 60 min after the intervention in the two intervention groups compared to the control group (p<0.001). Nonetheless, no statistically significant difference was observed between the two intervention groups (p = 0.93). The results of the study showed that application of Acupressure at two GB-21 and SP-6 points was effective in the reduction of the severity of labor pain. Therefore, further studies are recommended to be performed on the application of Acupressure together with non-medicinal methods.

CEO severance has captured the attention of a wide array of audiences, yet it remains largely unexplored by management scholars. This paper offers a rigorous theoretical examination of CEO severance with the goal of developing a foundation for a systematic research agenda. In particular, we consider if, and how, severance agreements can be effective in serving the interests of both CEOs and shareholders. We argue that severance agreements have potential value as both an executive recruitment and governance tool, but that the way they are conventionally structured undermines the value that shareholders realize from them. The implications of structure have been almost entirely overlooked by scholars, perhaps because the influence of compensation consultants has left little variance in how severance agreements are implemented across firms. We address this gap by theorizing about how severance agreements could be structured to effectively generate value for executives and shareholders. To do this, we introduce a categorization of key dimensions of CEO severance agreements, and consider how each of these dimensions can be structured to facilitate CEO recruiting, while simultaneously mitigating future governance problems. Our propositions offer new opportunities for governance and compensation scholars to link CEO severance agreements to important organizational outcomes.

'What's going on?' Within the context of our critically-informed teaching practice, we see moments of deep learning and reflexivity in classroom discussions and assessments. Yet, these moments of criticality are interspersed with surface learning and reflection. We draw on dichotomous, linear developmental, and messy explanations of learning processes to empirically explore the learning journeys of 20 international Chinese and 42 domestic New Zealand students. We find contradictions within our own data, and between our findings and the extant literature. We conclude that expressions of surface learning and reflection are considerably more complex than they first appear. Moreover, developing critical reflexivity is a far more subtle, messy, and emotional experience than previously understood. We present the theoretical and pedagogical significance of these findings when we consider the implications for the learning process and the practice of management education.

So, any thought of disobeying them must be destroyed – along with anyone daring to spread the idea that the oath is to the Constitution, not to a regime and its unlawful orders.

The lever-action shotgun has been with us for a long time, and here’s to hoping it will be around a lot longer.

[…] occurred to me – but Karen Blakeman has posted this advice – SEASONAL OPENING TIMES – NEVER TRUST GOOGLE’S ANSWERS (OR BING’S) (Dec 29) – information about open and closed times of shops might not be right – always […]

Would adding the parameter &gl=no to the result URL, still do the job?

This is my usual Christmas/New Year reminder to never trust Google’s answers (or Bing’s) on opening times of shops over the holiday season, especially if you are thinking of visiting small, local, independent shops. I was contemplating going to our True Food Co-operative but suspected that it might still be shut. A search on my … Continue reading Seasonal opening times – never trust Google’s answers (or Bing’s) →

Search Engine Roundtable reports today that Google is advising against using the link operator in search. It seems that there have been complaints on Twitter and elsewhere that it is returning some odd results. I have never been a fan of the command; it only ever returned a small sample of pages that link to … Continue reading Google link command gone – never much good anyway! →

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Some credit cards pay you back when an item you've purchased with that card goes on sale later.

The post Everything you need to know about credit card price protection appeared first on Clark Howard.

A second place at Suzuka meant a first ever podium in the famous 8 Hours for YART Yamaha, as well as important championship points.

The post YART Yamaha Claims First Ever Suzuka 8 Hours Podium appeared first on BikeSport News.

Just how brilliant is the most iconic Pakistani hit of all time?

From Iqra to Alia, brides are switching it up when it comes to their wedding day looks

Weathermen say occasional dust storm and dusty winds may also blow for the next four to five days

A pinch of salt can do more than you think!

With the perfect pair of sunglasses, you'll be ready to face the sun in style—no matter your face shape.

Media mogul was found guilty of rape in 2020, but his conviction was overturned in April due to unfair trial concerns

In this tutorial you will learn the way to revert the last changes made in WordPress posts.

The post WordPress. How to revert the last changes made in posts/pages (Revisions management) appeared first on Template Monster Help.