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Objective: Our study examines the association between social support and use of mental health services in Asian American men and women. Specifically, we report on the association between types of social support and types of health services used (general medical care and specialty mental health care).

Method: We use data from the National Latino and Asian American Study, a nationally representative survey of the US household population of Latino and Asian Americans. Our present study is based on data from the sample of Asian Americans (N = 2,095).

Results: Overall, our findings suggest that Asian Americans use general medical care services more than specialty mental health care. Our findings also showed variations in levels of social support, and the use of health services among different Asian subgroups (Vietnamese, Filipino, Chinese, and Other Asian) and nativity status (US-born versus foreign-born Asians). Specific types of social support influenced the use of specialty mental health care services, while other types of social support inhibited use of specialist services.

Conclusion: Compared to using generalist services, Asian Americans demonstrated lower rates of using specialist services. Our results emphasize the importance of considering other social factors to explain between group differences as well as factors contributing to the underutilization of specialty mental health services by Asian Americans.

In this chapter, the author begins by highlighting the main landmarks in Global Services. Additionally, the author analyzes the relevance of trade in services to key economic indicators such as GDP, employment, FDI, and international trade both at the international level and in the Latin American and Caribbean region.

This chapter examines various conditions for optimality in financial inclusion. The optimal level of financial inclusion is achieved when basic financial services are provided to members of the population at a price that is affordable and that price is also economically sufficient to encourage providers of financial services to provide such financial services on a continual basis. Any level of financial inclusion that does not meet these conditions is sub-optimal and incentive-inefficient both for users and providers of financial services.

Outreach in libraries has traditionally been considered the realm of public services, where librarians interact one-on-one with our patrons at the reference desk, run social media accounts, and other activities of a similar vein. In today's evolving library world, it is time to challenge outreach in its traditional sense and consider technical services work and its associated duties as outreach. This article delves into technical services work (including cataloging, archival processing, shelf maintenance, etc.) and how the results (bibliographic records, metadata, authority control etc.) are in themselves outreach.

Artificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research has been undertaken on this subject, but that only address a few applications. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.

This study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence”, “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like artificial intelligence, smart technologies, Internet of Things, electronic resource management, data mining and ambient intelligence. This study highlights the pros and cons of AI in library services and its possible solutions.

The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.

This paper may be of interest to academic, librarians, policymakers, researchers and the government to have a perspective on initiatives in the country on application of technology in library services. This study can introduce the current status and potential of this technology to bring the technology revolution in library and information center services.

This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.

This study covers the understanding of AI in library services that will help the librarian’s and information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI.

Artificial intelligence (AI) is one of the emerging technologies of this time. It has been associated with several trades like business, defense, health and education, but its role in library services will foster intelligent decisions. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research have been undertaken on this subject, but that only address a few applications. This paper highlights the pros and cons of AI in library services. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.

This study is based on a qualitative method using content analysis techniques. Extant literature was explored on the subject and was analyzed for this study. This study highlights the pros and cons of AI in library services and its possible solutions.

The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.

This study covers the understanding of AI in library services that will help the librarian's information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI. Social implications: This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.

Roles of special education-related service professionals have changed since the passage of P.L. 94-142. Many children are spending a majority of their day in the general education classroom, however services can be delivered in a variety of settings ranging from the general education classroom to a one-on-one setting. Professionals deliver services based upon the educationally necessary model, which is determined by members of the Individualized Education Program team. Regardless of where services are delivered, when there are multiple related service professionals on a child’s educational team, there is a great deal of collaboration and communication required. A basic framework for ensuring this occurs includes selecting a key communication person or case manager, striving for clarity in communication, setting a schedule for consistent check-ins, removing discipline jargon, and communicating what is important to parents.