Service Science Research Articles

Clinical Use of Tranexamic Acid in High Tibial Osteotomy: A Systematic Review and Meta-analysis.

High tibial osteotomy (HTO) can cause postoperative hemorrhage. The use of tranexamic acid to reduce the hemorrhage is still controversial. To investigate the efficacy and safety of tranexamic acid in HTO. Systematic review; Level of evidence, 4. Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, the authors conducted a comprehensive search of the Embase, Cochrane Library, PubMed, Web of Science, MEDLINE, and Foreign Medical Literature Retrieval Service databases between their inception and January 1, 2023. All clinical studies comparing the use of tranexamic acid versus no tranexamic acid during HTO were collected. The primary outcome measures were hemoglobin decrease, drainage volume, and blood loss, and the secondary outcome measures were wound complications, blood transfusion, and postoperative thrombosis. All indicators were analyzed using meta-analysis software. Results were reported as mean differences or risk ratios with 95% confidence intervals. Of 152 initial results, 9 studies involving 908 patients were included. The tranexamic acid group had lower indicators for total blood loss, hemoglobin decrease, and total drainage volume (P < .00001 for all). There were no differences between patients with versus without tranexamic acid in wound complications, including hematoma (P = .21) or infection (P = .18), nor were there any group differences in the prevalence of blood transfusion (P = .21) or postoperative thrombosis (P = .36). Tranexamic acid was able to effectively reduce postoperative hemorrhage in patients undergoing HTO without affecting the rates of wound complications, blood transfusion, or postoperative thrombosis.

Transportation-Enabled Services: Concept, Framework, and Research Opportunities

As a result of rapid advancements in urban infrastructure and technology, transportation is transforming a variety of innovative and emerging services. This paper introduces the concept of transportation-enabled services (TRENS), which is a service model that uses transportation systems to enable and enhance the delivery, accessibility, and effectiveness of nontransportation services. We establish a general framework in which the transportation-enabled services involve four key stakeholders: customers, suppliers, TRENS providers, and transportation carriers. Within this general framework, we present five specific service models: a one-sided market, three variants of two-sided markets, and a three-sided market, each characterized by the interactions among suppliers, TRENS providers, and transportation carriers. Taking different models of transportation-enabled services into consideration, we highlight crucial research opportunities to enhance understanding of the planning, operations, evaluation, and regulation of transportation-enabled services. These research opportunities include demand and supply management, transportation system management and operations, coordination among stakeholders, and the evaluation and regulation of transportation-enabled services. We believe that the emergence, widespread adoption, and popularity of transportation-enabled services will significantly enhance and reshape many services and thus contribute to the overall improvement of future mobility in the broader context of smart cities. History: This paper has been accepted for the Service Science Special Issue on Innovation in Transportation-Enabled Urban Services. Funding: The work of Hai Wang was supported by the Lee Kong Chian Fellowship awarded by Singapore Management University. The work of Hao Sun was supported by the National Natural Science Foundation of China [Grants 72301179].

Indexing Excellence: Best Practices in Library Abstracting for Information Retrieval

Indexing and abstracting play pivotal roles in organizing and retrieving information within libraries. This paper delves into the intricate landscape of optimal indexing practices and their profound implications on the efficiency of information retrieval systems. By scrutinizing the methodologies employed in creating high-quality abstracts, this study aims to shed light on their substantial influence on the accessibility and usability of information resources within library collections. The investigation focuses on the multifaceted aspects of indexing excellence, exploring its direct correlation with improved information retrieval mechanisms. It examines in detail the methodologies, standards, and tools utilized in the creation and application of high-quality abstracts. Furthermore, it critically evaluates the utilization of controlled vocabularies and adherence to established indexing guidelines, highlighting their indispensable roles in ensuring the precision and relevance of indexed content. Analyzing the intersection of indexing practices and their impact on information retrieval, this study aims to provide valuable insights into enhancing the efficacy of library abstracting. Recognizing the importance of streamlined access to information resources, this research endeavors to contribute to the continual evolution of information science and user-centered library services.

Fortification of Shrimp Shell Flour as a Source of Calcium on the Preference Level of Bread

This research aim was to find the most preferred percentage of shrimp shell flour fortification on white bread. This research used an experimental method with 20 semi-trained panelists and 5 treatments of shrimp shell flour percentages which were 0%; 2,5%; 5%; 7,5%; and 10%. The parameters in this research were yield of shrimp shells, bread volume development, and calcium content which were analyzed with a comparative descriptive method; and preference level which was analyzed using the Friedman test. Fisheries Product Processing Laboratory, Faculty of Fisheries and Marine Science and Test Service Laboratory, Faculty of Agro-Industrial Technology, Padjadjaran University, between January and June 2023. Yield and volume development were tested by the ratio of the mass of shrimp shells flour and shrimp shells (yield test) and dough volume and white bread loaf (volume development test) times 100%. The Preference test used an organoleptic test with each panelist being given a test sheet to test 5 treatments of white bread fortified with shrimp shell flour and to test their preference level on 4 characteristics; which were color, aroma, texture, and taste. Calcium content was tested using the atomic absorption spectrophotometer method on the control treatment (0%) and the most preferred treatment. Yield result from shrimp shell flour was 27.8% (139 gr) from its initial mass (500 gr). Volume development of white bread showed decreases in volume with each treatment from 136.433% to 111.504%. The most preferred fortification of shrimp shell flour on white bread was treatment 2.5% with an alternative value of 7.22 and characteristic value of color 9, aroma 7, taste 7, and texture 7, which means overall still preferred. The calcium content within treatment 2.5% was 30.095 mg/100gr which is significantly higher than the calcium of treatment 0% (1.465 mg/100gr) and could assist humans meet their calcium needs.

Bibliometric Analysis of Nursing Interventions to Improve Adherence to Treatment among Patients with Tuberculosis

Background: Interest in research on the topic of nursing interventions and medication adherence in tuberculosis (TB) patients has increased. In future research, researchers need information about trends and new things for the topic of nursing intervention research and medication adherence in tuberculosis patients in the future. Purpose: The purpose of this research is to explore the trend of the number of publications, the trend of the number of citations, the journal with the highest number of publications, network visualisation, overlay visualisation, and density visualisation on the topic of nursing interventions and medication adherence in tuberculosis patients through bibliometric analysis. Research method: Bibliometric analysis was used in this study. The data is identified through the https://app.dimensions.ai/ database, which is then selected using the PRISMA flowchart. Papers are limited to publication in 2018-2023, focusing on the fields of health sciences, nursing, public health, the science of services and health systems, information science, and types of publications are articles. Data were analysed using VOSviewer, and then the analysis results were reviewed by co-occurrence. Results: A search for publications on nursing interventions to improve medication adherence in TB patients resulted in 60,204 articles. After being filtered through the specified criteria, the number of articles obtained was 3,237. The peak of publications on nursing interventions to improve medication adherence in TB patients occurred in 2018. Meanwhile, the lowest number of publications occurred in 2023. The health sector and other fields such as Human society, Information and computing science, and Psychology carry out research on nursing interventions to improve medication adherence in TB patients. In addition, health trends in nursing interventions to improve medication adherence in TB patients currently focus on using digital technology-based interventions such as mobile health applications, health education, and family support. The density visualisation shows that the topics not widely researched related to nursing interventions to improve medication adherence in TB patients are application, mobile health, health education, family, social support, stigma, and attitude. Conclusion: The topic of nursing interventions to improve medication adherence in TB patients is a topic that needs to be further developed in various countries. Suggestions for other researchers: please choose a theme included in the visualisation category that has not been widely researched to find novelty for future studies.

Rethinking industrial land-use in American rust cities towards sustainability based on a block-level model

Urban land is a fundamental but scarce resource that carries intensive human socio-economic activities. The demographic decline and housing vacancy issues that emerged with de-industrialization have raised concerns regarding the sustainable utilization of urban land resources, particularly in the American Rust Belt region. In this context, a comprehensive analysis of industrial land use can offer valuable insights to support the sustainable planning of shrinking cities. However, existing urban land research exhibits insufficient resolution at the sectoral scale and impedes the evaluation of industrial land use efficiency within the urban context. To address this gap, we established an integrated land use estimation framework for economic sectors based on multi-source data, which enables the assessment of land use efficiency at a finer sectoral scale. The method was then applied to the city of Detroit, Cleveland, and Pittsburgh. The results demonstrate that the current industrial land mix in the three cities is dominated by service-providing industries, but the land usage by goods-producing sectors in these cities presents a relatively high level of efficiency. The Moran's I value indicates a clustered tendency for the main economic sectors. The land use area results reveal that Other Services occupies the most land area in Detroit (2.29 million m2) and Cleveland (2.04 million m2). While in Pittsburgh, Professional Scientific and Technical Services (1.44 million m2) is the largest. In terms of the economic output, Management of Companies and Enterprises is the most efficient sector in Detroit (20.28 thousand $/m2) and Cleveland (29.43 thousand $/m2), while Pittsburgh's Public Administration (11.73 thousand $/m2) is the most efficient. As many other cities in the world are about to enter the era of de-industrialization or low growth, the outcomes can also serve as a reference to guide their sustainable revitalization in line with the SDGs.

Research on Digital Management of Scientific and Technological Innovation Services in Universities Based on Artificial Intelligence Background

Abstract In this paper, the digital management of scientific and technological innovation services in universities based on the background of artificial intelligence is studied in depth, aiming to create a comprehensive and efficient management platform. By constructing a platform with a multi-level architecture, it realizes the informatization management of the whole process of university science and technology projects. Specifically, this study designed a functional structure of 10 subsystems, covering all stages from project declaration to results management. To improve the management efficiency, principal component analysis and cluster analysis techniques were introduced, and the effectiveness and feasibility of the platform were verified by analyzing 270 questionnaires. The average score is 3.8293, showing that users highly recognize the platform. In addition, by qualitatively and quantitatively analyzing the factors affecting management, the key factors promoting and inhibiting the management efficiency were clarified, providing a new perspective for the management of scientific and technological innovation services in universities.

Kaliskie Towarzystwo Przyjaciół Nauk. 35 lat w służbie nauce i regionowi

The Society of Friends of Science in Kalisz. 35 years in the service of science and of the region The Society of Friends of Science in Kalisz, founded in 1987, celebrated its 35th anniversary in 2022. Thirty years of the society’s history are documented in the monograph “Society of Friends of Sciences in Kalisz. Thirty years of activity 1987-2017” (Kalisz 2022). The article recalls the activities of KTPN in 2018-2022, the committees and workshops operating within the structure as well as their work, activities for scientific and cultural dissemination, development of the library, editions (books and magazines), including electronic publications.

A contribuição de terapeutas ocupacionais no domínio da gestão de risco e desastres: um protocolo de revisão de escopo

Abstract Introduction Disasters bring human, socioeconomic, and environmental consequences and exacerbate situations of vulnerability. Both highly industrialized core countries and those facing economic difficulties are subject to these events. In Brazil, the COVID-19 pandemic and the collapse of dams highlight difficulties in anticipating and responding to these types of events. Actions of occupational therapy in the field of emergencies and disasters are scarce in the literature, notably in the sphere of prevention. Objective To explore the evidence of the contribution of occupational therapists in the field of risk management and disasters based on the characteristics, priorities, and main areas of interest of intellectual production in occupational therapy. Method A comprehensive search will be conducted in the journals Disasters, Hazards &amp; Crisis in Public Policy, International Journal of Mass Emergencies and Disasters, and Risk, International Journal of Risk Reduction, and Journal of Contingencies and Crisis Management, as well as in the databases Occupational Therapy Literature Search Service (OTDBASE), PubMed, and Web of Science. Inclusion Criteria Actions and experiences in the field of occupational therapy, notably those of occupational therapists in risk and disaster management, found in peer-reviewed studies adopting quantitative, qualitative, and mixed methods, in Spanish, English, and Portuguese, without temporal restriction. The approach advocated by the Joanna Briggs Institute (JBI) for study selection, critical appraisal, and data collection and synthesis will be used.

In the service of Russian science: the contribution of German historians of the Imperial Academy of Sciences of the 18th century to the development of scientific interest in the history of Russian law

In the service of Russian science: the contribution of German historians of the Imperial Academy of Sciences of the 18th century to the development of scientific interest in the history of Russian law

Cost-effectiveness analysis design for interventions to prevent children's oral disease.

In 2015, the National Institute of Dental and Craniofacial Research (NIDCR) launched the Multidisciplinary Collaborative Research Consortium to Reduce Oral Health Disparities in Children, supporting four randomized trials testing strategies to improve preventive care. A Coordinating Center provides scientific expertise, data acquisition and quality assurance services, safety monitoring, and final analysis-ready datasets. This paper describes the trials' economic analysis strategies, placing these strategies within the broader context of contemporary economic analysis methods. The Coordinating Center established a Cost Collaborative Working Group to share information from the four trials about the components of their economic analyses. Study teams indicated data sources for their economic analysis using a set of structured tables. The Group meets regularly to share progress, discuss challenges, and coordinate analytic approaches. All four trials will calculate incremental cost-effectiveness ratios; two will also conduct cost-utility analyses using proxy diseases to estimate health state utilities. Each trial will consider at least two perspectives. Key process measures include dental services provided to child participants. The non-preference-weighted Early Childhood Oral Health Impact Scale (ECOHIS) will measure oral health-related quality of life. All trials are measuring training, implementation, personnel and supervision, service, supplies, and equipment costs. Consistent with best practices, all four trials have integrated economic analysis during their planning stages. This effort is critical since poor quality or absence of essential data can limit retrospective analysis. Integrating economic analysis into oral health preventive intervention research can provide guidance to clinicians and practices, payers, and policymakers.

The Impact of Artificial Intelligence on Library and Information Science (LIS) Services

The Impact of Artificial Intelligence on Library and Information Science (LIS) Services

Empowering Government Services in the Digital Age: A Comprehensive Study of Information Science Performance Evaluation

This academic paper conducts an in-depth investigation into the intricate domain of performance evaluation within information science as applied to government services. It meticulously examines the various methodologies and criteria employed for the meticulous assessment of the efficiency and efficacy of information-centric procedures within the public sector. Throughout the study, a profound emphasis is placed on the pivotal significance of data-driven decision-making, elucidating how information science serves as the linchpin for enhancing the delivery of government services. This research serves as a comprehensive exploration of the symbiotic relationship between information science and government services, shedding light on the pivotal role they play in shaping modern governance. By scrutinizing these aspects, we gain valuable insights into optimizing the functionality and impact of government services through the lens of data-driven decision-making.

Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology

Abstract S&amp;T management data has a wide range of sources and types, and the innovation of S&amp;T management data service model is an important way for the efficient utilization of S&amp;T resources in the new era, so this paper creates an innovative model of S&amp;T management data service based on Data-Information-Knowledge-Wisdom model and artificial intelligence technology. Heterogeneous data mining technology based on association rules is used to obtain the connection between S&amp;T management data, Lagrange interpolation is used for heterogeneous data cleaning to predict the missing values of S&amp;T management data, and data lineage resolution technology is used to solve the challenges brought by the complex and diverse S&amp;T management data components. Experimental analyses are conducted from both S&amp;T management data processing and data service cases to verify the effectiveness and scientificity of the S&amp;T management data service innovation model proposed in this paper. The results show that in S&amp;T management data processing, this paper’s method consumes less than 2.45s for associated data rule mining, which has high mining efficiency, and the duplication rate and missing rate of data are below 0.0260 and 0.0222. Through the analysis of the service quality data, it can be seen that the degree of explanation of the service process quality problems of the model proposed in this paper tends to be close to 1, which can reflect the differences in the service process quality problems, and provide accurate, intelligent and personalized services for the main body of science and technology innovation.

Leveraging Service Science for Strategic Marketing: A Case Study of a Canadian Mattress Company

Leveraging Service Science for Strategic Marketing: A Case Study of a Canadian Mattress Company

Some examples of how service design is being used by startups and SMEs to apply service science

Some examples of how service design is being used by startups and SMEs to apply service science

Service Logic and Value Co-Creation Reconsidered: the Service Method and its Theoretical Implications for Service Science, Management and Praxis

Service Logic and Value Co-Creation Reconsidered: the Service Method and its Theoretical Implications for Service Science, Management and Praxis

Examining the mediating role of organizational trust in the relationship between organizational learning and innovation performance: A study of information systems and computer science service firms

Innovation is a crucial driver of competitive advantage and long-term success, particularly in the dynamic Information Systems and Computer Science Service industry. This study investigates the relationships between organizational learning constructs (organizational memory, knowledge acquisition, knowledge interpretation, and knowledge distribution), organizational trust, and innovation performance within Information Systems and Computer Science Service Firms in Jordan. Recognizing the potential mediating role of organizational trust, the study aims to provide insights into the mechanisms that enable effective translation of organizational learning into innovation outcomes. The study employs a quantitative research design using a cross-sectional survey approach. In this study, the data was gathered from 468 participants from Information Systems and Computer Science Service companies in Jordan, consisting of both senior managers and department heads, and the people involved in organizational learning and innovation processes. The analysis shows that organizational memory, knowledge collection and knowledge interpretation have direct impacts on innovations’ performance, but knowledge distribution does not contribute to this performance. Primarily, organizational trust works as the mediating factor that allows the innovation constructs of organizational learning to improve throughput sizes. The evidence also shows that competent learning is a prerequisite for organizational trust.

KLE Academy of Higher Education and Research’s Scholarly Research Trends: Bibliometric Study

Abstract Aim: The purpose of this article is to give an analysis of developing trends and research hotspots within the KLE Academy of Higher Education and Research (KAHER) Group using bibliometric methodologies. Materials and Methods: Using co-authorship, co-citation, and co-occurrence analysis, publications from the Scopus database for the years 1973–2022 are examined and analyzed on a variety of factors. R-Programming (Biblioshiny) and VOSViewer, an application for scientific visualization, are used to do the analysis. Results: There were 1721 publications in Scopus throughout the study period, with 83.9% of those being journal articles and the remaining 6% being letters and case studies. Research generally shows a constant rise with growing multi-authorship. The most sought-after magazine for publishing by the writers at KAHER is “Reproductive Health,” and they prefer to collaborate on research pieces. In addition, health-care science services and medical informatics have steadily developed into new areas of scientific interest. Originality: This study offers a thorough and comprehensive analysis of the KAHERs’ formative environment. This study can serve as a solid starting point for future research and can be used to analyze how health science research has changed overtime. Conclusion: The study reveals KAHER’s robust publishing productivity and impact, with a diverse output among authors and a consistent growth in the number of publications. The dominance of collaborative research, high citation rates, and the prevalence of medical research suggest the importance of international collaborations and the implementation of an institutional online repository system for enhanced research efficacy and accessibility.

Bibliometric analysis of research on digestive system tumors and depression.

Malignant tumors of the digestive system pose a serious threat to human health due to their highly malignant nature. Depression, as the most common psychiatric symptom of digestive system tumors, has attracted much attention regarding its potential relationship with these tumors. A thorough investigation into the connection between digestive system tumors and depression is extremely important for strengthening patients' quality of life and treatment outcomes. From 2014 to 2023, we conducted a literature search using specific keywords in the Web of Science Core Collection (WoSCC) and performed visual analysis of the selected literature using Microsoft Excel, CiteSpace, and VOSviewer software. In this study, we analyzed countries, institutions, authors, journals, and keywords. A total of 384 research articles on the relationship between digestive system tumors and depression were identified. The number of publications showed a gradual increase over time. In terms of disciplinary distribution, Oncology, Health Care Sciences Services, and Medicine General Internal ranked top in terms of publication volume. In terms of geographical distribution, China and the United States were the countries contributing the most publications. Additionally, Maastricht University contributed the most publications. Regarding authors, Beekman, Aartjan T.F. and Dekker, Joost had the highest number of publications, while Zigmond, A.S. had the most citations. It is worth mentioning that Supportive Care in Cancer was the journal with the most publications in this field. In terms of keyword analysis, research mainly focused on mechanisms and treatment strategies related to the relationship between digestive system tumors and depression. The relationship between digestive system tumors and depression has become a new research hotspot in recent years, offering new directions for future research. This research reveals novel perspectives on comprehending the connection between the two, which can guide future research and practice.