Shadow banking:a bibliometric and content analysis

This study reports on our systematic review of 2008–2021 literature on shadow banking.We present an overview of the shadow banking sector,wherein we discuss the definitions,evolution,functions,and specific activities that comprise it.We conducted a bibliometric analysis using the VOSviewer bibliometric tool on articles collected from the Scopus database,after which we conducted content analysis on top articles from leading sources,and identified four major streams of shadow banking literature.Additionally,we identified gaps in the literature and proposed seven research questions to be addressed in future studies to advance knowledge of the shadow banking sector.The findings of this review may serve as a robust reference for scholars researching various aspects of shadow banking to develop our understanding of this sector.

The Outcome of Midwife-Mother Relationship in Delivery Room: A Qualitative Content Analysis

Effective communication and emotional support of parturient women improve the outcome of childbirth. Reduction in Duration of labor, cesarean rate, use of anesthesia, and 5 minute Apgar Score less than 7 can achieve. This study was a part of a large mixed method study during 2013-2014. In this qualitative study, in-depth interviews were conducted with 32 participants (16 mother and 16 midwife), using semi-structured interviews. Participants were recruited by pur-posive sampling with maximum diversity in terms of age, occupation, education and etc. Educational hospital of Arak University of Medical Sciences was considered as the setting. Each interview was conducted at a private and convenient location and took about 30 to 45 minutes. Interviews were audio taped and transcribed verbatim. Conventional content analysis was done for data analysis. Interviews continued until data saturation was obtained. Data were coded in MAXQDA software (version 11). The main category emerged as “outcome” of midwife-mother relationship. Facilitating childbirth, positive experience, mental health promotion and improvement in quality of life were derived as subcategories. Good midwife-mother relationship could promote positive outcome in labour. Results could assist midwives in providing holistic quality care to mothers during labour, thus providing positive consequence in child birth. Also, results could provide a framework and guidance for policymakers to create appropriate context for the midwife-mother relationship in maternity care.

Charitable Donation Motives of Wealthy Chinese—A Content Analysis Based on 66 Chinese Philanthropists

Based on Chinese cultural psychology and multi-disciplinary theoretical system,this study establishes an analytical framework of wealthy people’s charitable donation motives.It takes the donation behavior of 66 philanthropists as the research object to discuss charitable donation motives of wealthy people.Through analyzing the content and text of 172 interviews and donation reports,this study verifies the unique influence of acquaintances’charitable motives in Chinese local culture,moral motives in Confucian culture,benevolent people’s love for others,self-promotion,collectivism and patriotism,and differential love on charitable donations of rich Chinese.This study concluded that the donation motives of wealthy Chinese mainly consist of 10 categories,such as expressing appreciation and gratitude,becoming a super representative of philanthropy cause,pursuit of the meaning and value of life,promoting social justice,inheriting the family wealth and family spirit,taking the social responsibility of Chinese entrepreneurs,driving more people to participate in philanthropy cause,improving the welfare of others,acquiring the exchange interests,and due to peer pressure.This research enriches the connotation of“Chinese philanthropy motivation”and discusses the characteristics of philanthropy motives in Chinese context,which can provide reference for improving the donation incentive policies and charitable organization’s fundraising activities.

Public library services to older adults in China:An empirical study based on content analysis

Purpose:The research is undertaken to help the Chinese public libraries answer the growing needs for library services to the elderly.Based on an investigation of the current situation of the services to older adults in China and a comparative analysis of the services in the U.S.,we attempt to explore what improvements the Chinese public libraries can make to better serve the needs of older adults.Design/methodology/approach:We empirically analyzed the older adults services of 271public libraries in China from 2002 to 2011 via content analysis of both the print materials such as the regulations and policies released by these libraries and the related information on the libraries' websites and the Internet Web pages.Findings:Great strides have been made in the Chinese public libraries' services to older adults in constructing service systems,providing facilities and equipment,exploring cooperative programming,and planning diversified and regularly scheduled activities.Compared with American counterparts,however,the Chinese public libraries need to catch up in understanding the elderly people as library users,planning customized services,formulating service guidelines and evaluation systems,and working with other local agencies for cooperative programming for seniors in communities.Research limitations:It is hard to collect more data covering more geographical areas and longer periods of time.The content analysis of libraries' policies and regulations is a very rough approximation of the libraries' 'real' services.The study should be extended to visits to public libraries in the future.Practical implications:This study provides useful information for the Chinese library policymakers to formulate regulations and policies to provide services to older adults.Originality/value:To the best of our knowledge,the comprehensive survey reported in this paper is the first in-depth investigation of the current situation of public library services to older adults in China,providing the analysis framework for more in-depth surveys in the future.

Sentiment Analysis in Social Media for Competitive Environment Using Content Analysis

Education sector has witnessed several changes in the recent past.These changes have forced private universities into fierce competition with each other to get more students enrolled.This competition has resulted in the adoption of marketing practices by private universities similar to commercial brands.To get competitive gain,universities must observe and examine the students’feedback on their own social media sites along with the social media sites of their competitors.This study presents a novel framework which integrates numerous analytical approaches including statistical analysis,sentiment analysis,and text mining to accomplish a competitive analysis of social media sites of the universities.These techniques enable local universities to utilize social media for the identification of the most-discussed topics by students as well as based on the most unfavorable comments received,major areas for improvement.A comprehensive case study was conducted utilizing the proposed framework for competitive analysis of few top ranked international universities as well as local private universities in Lahore Pakistan.Experimental results show that diversity of shared content,frequency of posts,and schedule of updates,are the key areas for improvement for the local universities.Based on the competitive intelligence gained several recommendations are included in this paper that would enable local universities generally and Riphah international university(RIU)Lahore specifically to promote their brand and increase their attractiveness for potential students using social media and launch successful marketing campaigns targeting a large number of audiences at significantly reduced cost resulting in an increased number of enrolments.

Midwives’views and experiences of providing healthy eating advice to pregnant women:a qualitative content analysis of semi-structured interviews

Objective:To explore midwives’views on how they provide healthy eating education to pregnant women after attending a healthy eating education workshop/webinar.Methods:A qualitative descriptive approach was utilized.Semi-structured interviews were conducted to explore the views and experiences of midwives on providing healthy eating education for pregnant women.A purposive sample of six midwives was interviewed face-to-face,and one was conducted by telephone interview.Data were analyzed through qualitative conventional content analysis.Results:Midwives described their views and experiences of factors that impacted their role in providing healthy eating educa-tion.They identified three categories:perceived role of midwi ves,health literacy,and model of care.Conclusions:Knowledge and confidence of midwives improved after attending the workshop/webinar on healthy eating education.Findings suggested that midwives perceived their role as important in providing nutrition education.However,time and resources were highlighted as challenges when providing healthy eating education for pregnant women.The availability of health literacy and model of care were significant factors in enabling midwives to adequately provide this education.Midwives acknowledged a need for further education in areas of vegan diet,cultural food preferences for ethnic minority groups,and regular updates on national healthy eating guidelines.

Content analysis of documents using neural networks: A study of Antarctic science research articles published in international journals

Content analysis of scientific papers emanating from Antarctic science research during the 25 years period （1980-- 2004） has been carried out using neural network based algorithm-CATPAC. A total of 10 942 research articles published in Science Citation Indexed （SCI） journals were used for the study. Normalized co-word matrix from 35 most-used significant words was used to study the semantic association between the words. Structural Equivalence blocks were constructed from these 35 most-used words. Four-block model solution was found to be optimum. The density table was dichotomized using the mean density of the table to derive the binary matrix, which was used to construct the network map. Network maps represent the thematic character of the blocks. The blocks showed preferred connection in establishing semantic relationship with the blocks, characterizing thematic composition of Antarctic science research. The analysis has provided an analytical framework for carrying out studies on the con- tent of scientific articles. The paper has shown the utility of co-word analysis in highlighting the important areas of research in Antarctic science.

Website Marketing Communication in Health Tourism： A Content Analysis of Website Attributes of Thermal Tourism Facilities in Turkey

The aim of this exploratory study is to analyze the effectiveness of website communications regarding thermal tourism and to evaluate the website attributes of thermal tourism facilities in Turkey. In order to achieve this aim, seven main categories （contact information, general information, facility information, thermal/medical and wellness services information, surrounding area information, booking and external contracts information, and technical items） and 55 sub-items are identified. Then websites are analyzed with a content analysis method. One hundred and sixty four thermal facilities in Turkey could be listed and accepted as the population. Systematic sampling method was used with a sample size of 33 thermal facilities. After the frequency analysis, results showed that most of the thermal facilities do not have an efficient website management in Turkey. Although official websites are very critical tools for effective marketing communication, thermal facilities are utilizing only a small potential of their websites.

Roles Portrayed by Women： A Content Analysis in Brazilian Television Advertisements

The main purpose of this paper was to examine female roles portrayed by advertising. More specifically, the questions that motivated this research project were ＂What messages about women have been given to society through advertisement？＂ and ＂Have these portrayals been changed during the past decades？＂ The study consisted of a systematic content analysis of Brazilian commercials from 1973 to 2000. The population from which this sample was drawn consisted of Brazilian commercials which got an award in international and national festivals. A probabilistic sample procedure was employed. Ninety five pieces were selected. The categories and operational rules used in the study were developed based on previous research. This study has proposed that female images in advertising are depicted in three different ways： stereotyped, idealized, and plural portrayals. Our results have revealed that some specific images have changed, however, they continued to be stereotyped and idealized.

Centrum Multivitamin Content Analysis—Over the Counter—OTC Medicine on Facebook

Medicines advertising can be discussed from several perspectives. The study can be directed to its informational content, current legislation, characteristic (persuasive, informative) and the use of euphemisms. In this paper, the authors indicated the values present in the advertising content of the Centrum brand, classified by the World Health Organization (WHO) as Over the Counter—OTC Medicine, based on the content analysis [1] of whose evaluations will be based on advertising objects published on Facebook.

A Content Analysis of Multicultural Children＇s Books in the Republic of Korea and America

Picture books are a staple in the kindergarten classroom for teaching content, social expectations, and the joy of reading. The purpose of this study is to explore the representation and depiction of multicultural families in children＇s picture books within kindergarten classroom libraries. Children＇s pictures books are a microcosm of today＇s society. They convey cultural messages and values about society, and help children learn about their heritage and the heritage of others. Children＇s literature is increasingly more reflective of diverse cultures. Children need to see themselves reflected in literature in order to see the lives of others, and in order to see themselves as able to transverse between groups and worlds. America （U.S.） has been and will always be a diverse nation. Likewise, the Republic of Korea （ROK） is quickly becoming a multicultural society as well, and the influx of multicultural families is growing exponentially. Books depicting this growing diversity can dispose of stereotypes that children may have about races other than their own. Children＇s literature is still not authentically portraying a multiethnic Korea. The results of this study show that children who interact with current picture books predominantly see Korean faces. Finding books depicting non-Korean characters, particularly books depicting culturally specific elements, is rare, although there are books depicting culturally neutral and generic characters However, although our classrooms are culturally and ethnically diverse, the books predominantly found in classrooms portray only one race. What does that tell our students？ Seeing diverse populations in children＇s literature needs to become the norm, not the exception.

Impacts of sample size for stomach content analysis on the estimation of ecosystem indices

This study used Ecopath model of the Jiaozhou Bay as an example to evaluate the effect of stomach sample size of three fish species on the projection of this model. The derived ecosystem indices were classified into three categories:(1) direct indices, like the trophic level of species, influenced by stomach sample size directly;(2)indirect indices, like ecology efficiency(EE) of invertebrates, influenced by the multiple prey-predator relationships;and(3) systemic indices, like total system throughout(TST), describing the status of the whole ecosystem. The influences of different stomach sample sizes on these indices were evaluated. The results suggest that systemic indices of the ecosystem model were robust to stomach sample sizes, whereas specific indices related to species were indicated to be with low accuracy and precision when stomach samples were insufficient.The indices became more uncertain when the stomach sample sizes varied for more species. This study enhances the understanding of how the quality of diet composition data influences ecosystem modeling outputs. The results can also guide the design of stomach content analysis for developing ecosystem models.

Talking with Children about Cancer: A Content Analysis of Text in Children’s Picture Books

Introduction: To tell children that they are diagnosed with cancer is challenging for any healthcare professional and family. Pictures books are one of the communication tools for talking with children about severe diseases. However, little research is available about the contents of picture books about cancer for children. Therefore, this study aimed to examine the contents of children’s picture books about cancer and explore the advantages and disadvantages of using picture books to communicate with children about cancer. Methods: We searched the picture books about cancer written for children aged under ten years old on the Amazon.com Web site on 5 July 2019 and hand-searched on the cancer-related institutes’ Web site. We extracted the texts of relevant picture books and conducted a content analysis of them. Results: We identified 2555 picture books and included 30 of them. We identified three main contents, 1) cancer-related knowledge, 2) impacts of cancer, and 3) dealing with cancer. These contents were written with simple words and illustrations. Some of them included the essential contents, which might be misunderstood by children. Conclusions: Picture books might be helpful for children to understand about cancer. However, as these books do not include all contents, it is necessary to select and use multiple books depending on the content which is wanted to tell the child. Further research should evaluate the impacts of these books as a communication tool when talking with children diagnosed with cancer.

High-throughput molecular gut content analysis of aphids identifies plants relevant for potato virus Y epidemioiogy

Aphids are phloem-feeding insects that reduce crop productivity due to feeding and transmission of plant viruses.When aphids disperse across the landscape to colonize new host plants,they will often probe on a wide variety of nonhost plants before settling on a host suitable for feeding and reproduction.There is limited understanding of the diversity of plants that aphids probe on within a landscape,and characterizing this diversity can help us better understand host use patterns of aphids.Here,we used gut content analysis(GCA)to identify plant genera that were probed by aphid vectors of potato virus Y(PVY).Aphids were trapped weekly near potato fields during the growing seasons of 2020 and 2021 in San Luis Valley in Colorado.High-throughput sequencing of plant barcoding genes,trnF and ITS2,from 200 individual alate(i.e.,winged)aphids representing nine vector species of PVY was performed using the PacBio sequencing platform,and sequences were identi-fied to genus using NCBI BLASTn.We found that 34.7%of aphids probed upon presumed PVY host plants and that two of the most frequently detected plant genera,Solanum and Brassica,represent important crops and weeds within the study region.We found that 75%of aphids frequently probed upon PVY nonhosts including many species that are outside of their reported host ranges.Additionally,19%of aphids probed upon more than one plant species.This study provides the first evidence from high-throughput molecular GCA of aphids and reveals host use patterns that are relevant for PVY epidemiology.

Design and science:Content analysis of published peer-reviewed research over the last four decades

The relationship between design and science in architecture continually receives attention from scholars,but to our knowledge,no substantial and systematic literature reviews have been undertaken to generate insights into how the relationship between the two has developed in recent times.As most of the related debate remains theoretical,this paper presents evidence acquired through content analysis of selected 782 peer-reviewed papers published in the last four decades,a period in which design requirements continue to grow in complexity and research efforts increasingly concentrate on design methods.In response,this study departs from the two keywords,architectural science and building science,and develops search strings to support examination of the relationship between science and architectural design since the 1980s,when research that addresses the building environment started to intensify.The analysis employs tools based on machine learning algorithms for text analytics in combination with traditional content analysis methods.The presented research method is fully replicable and stands as one of the contributions of this study.The findings capture the expansion of the research context concerned with the built environment through a careful selection of defining terms,and generate an informed discussion on how the role of science in the architectural design process has changed.

Content analysis of systematic reviews on effectiveness ofTraditional Chinese Medicine

OBJECTIVE:To evaluate evidence for the efficacy of Traditional Chinese Medicine(TCM) in systematic reviews.METHODS:Chinese(TCM Periodical Literature Database,Chinese Biological Medicine database,Chinese Medical Current Contents,China Hospital Knowledge Database journal fulltext database,Virtual Machining and Inspection System,and Wanfang) and English(Cochrane Database of Systematic Reviews,PubMed and Embase) databases were searched.RESULTS:Three thousand,nine hundred and fifty-five articles were initially identified,606 of which met the inclusion criteria,including 251 in English(83 from the Cochrane Database) and 355 in Chinese.The number of articles published each year increased between 1989 and 2009.Cardiocerebrovascular disease was the most studied target disease.Intervention measures included TCM preparations(177 articles),acupuncture(133 articles) and combinations of TCM and Western Medicine(38 articles).Control measures included positive medical(177 articles),basic treatment(100 articles),placebo(219 articles),and blank and mutual(107 articles).All articles included at least one reference;the greatest number was 268.Six of 10 articles with high quality references demonstrated curative effectsagainst target diseases including upper respiratory tract infection,dementia and depression.Interventions that were not recommended were tripterygium for rheumatoid arthritis and TCM syndrome differentiation for pediatric nocturia.In 10.4% of the studies,the authors concluded that the intervention had a curative effect.The assessors agreed with the authors' conclusions in 88.32% of cases,but rejected 8.94%(54 articles).CONCLUSION:1) Training in systematic review methods,including topic selection,study design,methods and technology,should be improved.2) Upper respiratory tract infection,dementia and depression may become the predominant diseases treated by TCM,and the corresponding interventions could be developed into practical applications.3) Use of non-recommended interventions should be controlled,and there should be more research on side effects.

Combined apatite fission-track dating, chlorine and REE content analysis by LA-ICPMS

As one of the best established low temperature thermochronology techniques,apatite fission-track(AFT)analysis has proved an important tool for constraining a wide variety of upper crustal processes,e.g.,landscape evolution,hydrocarbon exploration and tectonics[1].The most common method employed for AFT analysis is the external detector method(EDM)[1]and this involves the thermal neutron irradiation of samples for determination of

The influence of time and temperature on molecular gut content analysis： Adalia bipunctata fed with Rhopalosiphum padi

Gut content analysis is a useful tool when studying arthropod predator-prey interactions. We used polymerase chain reaction （PCR） technique to examine how detection of prey DNA in the gut content of predators was influenced by digestion time and temperature. Such knowledge is critical before applying PCR-based gut content analysis to field collected predators. Larvae of the two-spotted ladybeetle （Adalia bipunctata L.） were fed with the bird cherry-oat aphid （Rhopalosiphum padi L.） at either 21℃ or 14℃. After consuming one aphid, the predators were allowed to digest the prey for a range of time periods up to 24 hours. The influence of temperature on A. bipunctata feeding behavior was also recorded. From the fed larvae, total DNA was extracted and PCR reactions with R. padi specific primers were run. The number ofA. bipunctata that tested positive for R. padi DNA was negatively related to the length of digestion time. Temperature influenced larval feeding behavior but did not have a significant effect on R. padi DNA detection. After pooling the data from both temperature treatments we estimated the time point when R. padi DNA could be amplified from 50% of the fed A. bipunctata by PCR to be 4.87 hours. With such a rapid decrease in prey DNA detection success, positive PCR reactions will most likely be the result of predation events occurring shortly before capture. If a defined digestion temperature range has proven not to influence prey detection, PCR data obtained from predators collected within that particular range can be interpreted in the same way.

A Novel Approach Based on Multi-View Content Analysis and Semi-Supervised Enrichment for Movie Recommendation

Although many existing movie recommender systems have investigated recommendation based on information such as clicks and tags, much less efforts have been made to explore the multimedia content of movies, which has potential information for the elicitation of the user＇s visual and musical preferences. In this paper, we explore the content from three media types （image, text, audio） and propose a novel multi-view semi-supervised movie recommendation method, which represents each media type as a view space for movies. The three views of movies are integrated to predict the rating values under the multi-view framework. ~rthermore, our method considers the casual users who rate limited movies. The algorithm enriches the user profile with a semi-supervised way when there are only few rating histories. Experiments indicate that the multimedia content analysis reveals the user＇s profile in a more comprehensive way. Different media types can be a complement to each other for movie recommendation. And the experimental results validate that our semi-supervised method can effectively enrich the user profile for recommendation with limited rating history.

Sustainability in Higher Education Institutions(HEI):Merging the Study Systematic Review,Analysis Content and Bibliometrics

This study aims to explore how the topic of sustainability in Higher Education Institutions(HEI)has been addressed in the scientific literature.It presents a systematic literature review of peer-reviewed journal articles published between 1975 and 2019.After that,bibliometric and content analyses were performed in order to identify the behavior and evolution of the literature and identify the frequency with which they appear in the text,making it possible to raise replicable and valid inferences to the data.The results of this study indicate that the theme is emerging since the year 2010 and with a strong focus on qualitative studies,focused on critical theory.The results indicate that although studies involve the tripod environment,economy,and society,there is still a gap in studies that deal with specific issues to solve practical problems and that analyze the impacts from a more holistic perspective.The combination of methods made it possible to identify and interpret the articles in the selected sample,but based on results reported by other authors,with little room for quality control and integrity.