Many Light Higgs Bosons in the NMSSM

The next-to-minimal supersymmetric model with a light doublet-like CP-odd Higgs boson and small $\tan \beta$ can satisfy all experimental limits on Higgs bosons even with light superpartners. In these scenarios, the two lightest CP-even Higgs bosons, \hi and \hii, and the charged Higgs boson, \hp, can all be light enough to be produced at LEP and yet have decays that have not been looked for or are poorly constrained by existing collider experiments. The channel \hi\to \ai\ai (where \ai is the lightest CP-odd boson and has mass below $2m_b$) with \ai\to \tau^+\tau^- or $2j$ is still awaiting LEP constraints for \mhi>86\gev or 82\gev, respectively. LEP data may also contain \epem\to \hii\ai events where \hii\to Z\ai is the dominant decay, a channel that was never examined. Decays of the charged Higgs bosons are often dominated by H^\pm \to W^{\pm (\star)} \ai with \ai \to gg,c \bar c, \tau^+ \tau^-. This is a channel that has so far been ignored in the search for t\to \hp b decays at the Tevatron. A specialized analysis might reveal a signal. The light \ai might be within the reach of $B$ factories via \Upsilon\to \gamma \ai decays. We study typical mass ranges and branching ratios of Higgs bosons in this scenario and compare these scenarios where the \ai has a large doublet component to the more general scenarios with arbitrary singlet component for the \ai.Comment: 15 pages, 47 figure

Penerapan Kecerdasan Buatan dalam Industri MICE dan Event Di Indonesia: Tren, Potensi, dan Tantangan di Masa Mendatang

The MICE (Meeting, Incentive, Convention, and Exhibition) industry and events have undergone significant changes with the emergence of Artificial Intelligence (AI) technology. This research aims to explore the application and impact of Artificial Intelligence in the context of the MICE industry and events, particularly in Indonesia. Through an in-depth review of literature and case studies, this study discusses how AI technology has influenced the planning, execution, and participant experience in events. This research employs a qualitative descriptive method with an approach to literature study from various reliable sources, analysis of case studies of events that have adopted AI technology, as well as in-depth interviews with event organizers and industry experts. This information is collected and analyzed using a triangulation of data sources approach as a method to examine and validate data from various perspectives and gain deep insights into the application of AI in the MICE industry and events. The results of this study explain various ways in which AI can be integrated into MICE activities and special events. AI is used for data analysis, personalization of participant experiences, interaction through chatbots, and optimization of schedules and logistics. Furthermore, AI plays a role in event security and surveillance management. Facial recognition and video analysis solutions have been used to monitor visitors, identify suspicious behavior, and mitigate risks. AI platforms also monitor cybersecurity to ensure events proceed without disruptions. However, not all job roles can be replaced by AI; some roles related to hospitality and planning still require human intervention. The use of AI in the MICE and events industry also presents challenges, such as data security and privacy, as well as the proper utilization of technology. Nevertheless, the potential of AI in optimizing participant experiences, enhancing operational efficiency, and driving innovation continues to inspire event organizers to integrate this technology into their strategies. By understanding trends and the potential application of AI in the MICE and events industry, organizers and practitioners can design more engaging, efficient, and secure events in the evolving digital era, enriching the participant experience in future events

Adrenal crises: perspectives and research directions

Adrenal crises (AC) are life-threatening complications of adrenal insufficiency (AI). These events have an estimated incidence of between 5 and 10 ACs/100 patient years (PY) and are responsible for some of the increased morbidity and excess mortality experienced by patients with AI. Treatment involves urgent administration of IV/IM hydrocortisone and IV fluids. Patient education regarding preventive measures, such as increasing the dose of replacement therapy (“stress dosing”) when sick, using parenteral hydrocortisone as necessary and accessing medical assistance promptly, is still considered the best approach to averting the onset of an AC at times of physiological stress, most commonly an infection. However, recent evidence has demonstrated that patient education does not prevent many AC events and the reasons for this are not fully understood. Furthermore, there is no widely accepted definition of AC. Without a validated AC definition it is difficult to interpret variations in the incidence of AC and determine the effectiveness of preventive measures. This article aims to review the clinical aspects of AC events; to explore the epidemiology; and to offer a definition for an AC and to offer a perspective on future directions for research into AC prevention

On the Leptoquark Interpretation of the High Q2Q^2 Events at HERA

We investigate to which extent an interpretation of the recently observed excess of events in the high $Q^2$ range at HERA in terms of single leptoquark production is compatible with bounds from other experiments.Comment: 5 pages latex, to appear in the Proceedings of the International Conference on Deep Inelastic Scattering, Chicago, April 1997, AI

Narrative Generation in Entertainment: Using Artificial Intelligence Planning

From the field of artificial intelligence (AI) there is a growing stream of technology capable of being embedded in software that will reshape the way we interact with our environment in our everyday lives. This ‘AI software’ is often used to tackle more mundane tasks that are otherwise dangerous or meticulous for a human to accomplish. One particular area, explored in this paper, is for AI software to assist in supporting the enjoyable aspects of the lives of humans. Entertainment is one of these aspects, and often includes storytelling in some form no matter what the type of media, including television, films, video games, etc. This paper aims to explore the ability of AI software to automate the story-creation and story-telling process. This is part of the field of Automatic Narrative Generator (ANG), which aims to produce intuitive interfaces to support people (without any previous programming experience) to use tools to generate stories, based on their ideas of the kind of characters, intentions, events and spaces they want to be in the story. The paper includes details of such AI software created by the author that can be downloaded and used by the reader for this purpose. Applications of this kind of technology include the automatic generation of story lines for ‘soap operas’

Hosting academic integrity events: What can you do with academic integrity at your college or university?

Over the past year, the importance and intricacies of academic integrity (AI) in higher education have been thrust to the forefront of discussion. This has caused some institutions to change the way they approach well-established AI initiatives, while others see opportunities to establish their first events. Join practitioners from two Manitoba institutions for a look at how their AI events are organized and why, for both college and university settings, and for stakeholders ranging from students to administrators. Attendees will learn about different approaches to hosting AI activities, how these initiatives evolve over time, and considerations for creating and contextualizing your own AI events