Improved jet clustering algorithm with vertex information for multi-bottom final states

In collider physics at the TeV scale, there are many important processes which involve six or more jets. The sensitivity of the physics analysis depends critically on the performance of the jet clustering algorithm. We present a full detector simulation study for the ILC of our new algorithm which makes use of secondary vertices which improves the reconstruction of b jets. This algorithm will have many useful applications, such as in measurements involving a light Higgs which decays predominantly into two b quarks. We focus on the measurement of the Higgs self-coupling, which has so far proven to be challenging but is one of the most important measurements at the ILC.Comment: 7 pages, 3 figures, Proc. TIPP 201

International Linear Collider Reference Design Report : Volume 2: Physics at the ICL

This article reviews the physics case for the ILC. Baseline running at 500 GeV as well as possible upgrades and options are discussed. The opportunities on Standard Model physics, Higgs physics, Supersymmetry and alternative theories beyond the Standard Model are described

A Case of Cystic Basal Cell Carcinoma Which Shows a Homogenous Blue/Black Area under Dermatoscopy

Basal cell carcinoma (BCC) is the most common skin tumor and contains several different histopathological types. Here, we report a case of cystic basal cell carcinoma, which is relatively rare and might be clinically misdiagnosed. A dermatoscopic examination of the case revealed a homogenous blue/black area usually not seen in BCC. We reviewed 102 BCC cases resected and diagnosed at Sapporo Medical University Hospital between April 2005 and March 2010. Among them, only three were the cystic type

Efficient Augmentative Communication Using Large Language Models

For augmentative and alternative communications (AAC), there exists an inverse relationship between input expressivity and input efficiency: A technique that selects characters one-by-one provides substantial freedom of expression but requires many actions to compose a sentence, while techniques that select from a preset vocabulary can enable quicker input that is limited to the vocabulary. This disclosure describes techniques of augmentative and alternative communication that leverage a large language model (LLMs) to simultaneously optimize both input expressivity and input efficiency. Upon the entry of a few characters of a sentence or command (e.g., using eye trackers, finger tapping, etc.), word and sentence suggestion keyboards are surfaced and populated with probable sentence completions determined by an LLM. The user completes their sentence or command by selecting words, sentences, or characters suggested by the LLM. The LLM can be generic or specialized to particular domains. The LLM can be set (contextualized) to a particular persona. An intuitive interface is thus provided that enables high input speed while retaining expressivity