Technology Use of Seniors on Their Travel Experience and Quality of Life

Leisure travels play a majority part in the life of seniors, especially the retirees. It is a key contributor to the improvement of senior\u27s overall quality of life. With the aging of our society, senior travelers are becoming major consumers of travel services and representing a growing market for travel business. Technology development in the last two decades has tremendously reshaped the tourism industry. Business and stakeholders of the travel industry have designed and implemented many technologies to improve the travel experience. However, for the senior traveler, it could be challenging for them to adapt to the technology used for travel purposes. This study is determined to explore the influence of technology use for travel purposes of seniors on their travel experience and its impact on their quality of life

Mining Meaning of Health in Baby Boomer Travel Blogs

Baby Boomers are recognized as the most avid travelers. Many of the Baby Boomers are motivated to travel due to the health benefits of travel. This research explores health-related topics shared by baby boomers on their travel blogs. To better understand how travel experience is related to health and overall well-being of Baby Boomer travelers. This research studied 57 Baby Boomers travel blogs and collected their health-related posts. To mine the mining of the large unstructured textual data, Natural Language Processing (NLP) methods such as top modeling with Latent Dirichlet Allocation (LDA) algorithms were utilized to discover the hidden topics within the textual data. 12 topics were generated by LDA analysis, including travel planning, travel attraction and events, health care at home, health insurance and care during travel, resort, cruise, city trips, food and beverage, travel activities on-site, social well-being, healthy diet and lifestyle, and arts

Non-Abelian inverse Anderson transitions

Inverse Anderson transitions, where the flat-band localization is destroyed by disorder, have been wildly investigated in quantum and classical systems in the presence of Abelian gauge fields. Here, we report the first investigation on inverse Anderson transitions in the system with non-Abelian gauge fields. It is found that pseudospin-dependent localized and delocalized eigenstates coexist in the disordered non-Abelian Aharonov-Bohm cage, making inverse Anderson transitions depend on the relative phase of two internal pseudospins. Such an exotic phenomenon induced by the interplay between non-Abelian gauge fields and disorder has no Abelian analogy. Furthermore, we theoretically design and experimentally fabricate nonAbelian Aharonov-Bohm topolectrical circuits to observe the non-Abelian inverse Anderson transition. Through the direct measurements of frequency-dependent impedance responses and voltage dynamics, the pseudospin-dependent non-Abelian inverse Anderson transitions are observed. Our results establish the connection between inverse Anderson transitions and non-Abelian gauge fields, and thus comprise a new insight on the fundamental aspects of localization in disordered non-Abelian flat-band systems

Sharing matters:Analysing neurons across languages and tasks in LLMs

Multilingual large language models (LLMs) have greatly increased the ceiling of performance on non-English tasks. However the mechanisms behind multilingualism in these LLMs are poorly understood. Of particular interest is the degree to which internal representations are shared between languages. Recent work on neuron analysis of LLMs has focused on the monolingual case, and the limited work on the multilingual case has not considered the interaction between tasks and linguistic representations. In our work, we investigate how neuron activation is shared across languages by categorizing neurons into four distinct groups according to their responses across different languages for a particular input: all-shared, partial-shared, specific, and non-activated. This categorization is combined with a study of neuron attribution, i.e. the importance of a neuron w.r.t an output. Our analysis reveals the following insights: (i) the linguistic sharing patterns are strongly affected by the type of task, but neuron behaviour changes across different inputs even for the same task; (ii) all-shared neurons play a key role in generating correct responses; (iii) boosting multilingual alignment by increasing all-shared neurons can enhance accuracy on multilingual tasks. The code is available at https://github.com/weixuan-wang123/multilingual-neurons

Observation of inverse Anderson transitions in Aharonov-Bohm topolectrical circuits

It is well known that Anderson transition is a disorder-induced metal-insulator transition.Contrary to this conventional wisdom, some investigations have shown that disorders could destroy the phase coherence of localized modes in flatbands, making the localized states melt into extended states. This phenomenon is called the inverse Anderson transition. While, to date, the experimental observation of inverse Anderson transitions is still lacking. In this work, we report the implementation of inverse Anderson transitions based on Aharonov-Bohm topolectrical circuits. Different types of disorders, including symmetric-correlated, antisymmetric-correlated and uncorrelated disorders, can be easily implemented in Aharonov-Bohm circuits by engineering the spatial distribution of ground settings. Through the direct measurements of frequency-dependent impedance responses and time-domain voltage dynamics, the inverse Anderson transitions induced by antisymmetric-correlated disorders are clearly observed. Moreover, the flat bands and associated spatial localizations are also fulfilled in clean Aharonov-Bohm circuits or Aharonov-Bohm circuits sustaining symmetric-correlated and uncorrelated disorders, respectively. Our proposal provides a flexible platform to investigate the interplay between the geometric localization and Anderson localization, and could have potential applications in electronic signal control.Comment: 12 pages, 4 figure