• Title/Summary/Keyword: Opportunities and Challenges

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Perspectives on Clinical Informatics: Integrating Large-Scale Clinical, Genomic, and Health Information for Clinical Care

  • Choi, In Young;Kim, Tae-Min;Kim, Myung Shin;Mun, Seong K.;Chung, Yeun-Jun
    • Genomics & Informatics
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    • v.11 no.4
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    • pp.186-190
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    • 2013
  • The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

Photodynamic Diagnosis and Therapy for Peritoneal Carcinomatosis from Gastrointestinal Cancers: Status, Opportunities, and Challenges

  • Kim, Hyoung-Il;Wilson, Brian C.
    • Journal of Gastric Cancer
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    • v.20 no.4
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    • pp.355-375
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    • 2020
  • Selective accumulation of a photosensitizer and the subsequent response in only the light-irradiated target are advantages of photodynamic diagnosis and therapy. The limited depth of the therapeutic effect is a positive characteristic when treating surface malignancies, such as peritoneal carcinomatosis. For photodynamic diagnosis (PDD), adjunctive use of aminolevulinic acid- protoporphyrin IX-guided fluorescence imaging detects cancer nodules, which would have been missed during assessment using white light visualization only. Furthermore, since few side effects have been reported, this has the potential to become a vital component of diagnostic laparoscopy. A variety of photosensitizers have been examined for photodynamic therapy (PDT), and treatment protocols are heterogeneous in terms of photosensitizer type and dose, photosensitizer-light time interval, and light source wavelength, dose, and dose rate. Although several studies have suggested that PDT has favorable effects in peritoneal carcinomatosis, clinical trials in more homogenous patient groups are required to identify the true benefits. In addition, major complications, such as bowel perforation and capillary leak syndrome, need to be reduced. In the long term, PDD and PDT are likely to be successful therapeutic options for patients with peritoneal carcinomatosis, with several options to optimize the photosensitizer and light delivery parameters to improve safety and efficacy.

Analysis of LinkedIn Jobs for Finding High Demand Job Trends Using Text Processing Techniques

  • Kazi, Abdul Karim;Farooq, Muhammad Umer;Fatima, Zainab;Hina, Saman;Abid, Hasan
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.223-229
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    • 2022
  • LinkedIn is one of the most job hunting and career-growing applications in the world. There are a lot of opportunities and jobs available on LinkedIn. According to statistics, LinkedIn has 738M+ members. 14M+ open jobs on LinkedIn and 55M+ Companies listed on this mega-connected application. A lot of vacancies are available daily. LinkedIn data has been used for the research work carried out in this paper. This in turn can significantly tackle the challenges faced by LinkedIn and other job posting applications to improve the levels of jobs available in the industry. This research introduces Text Processing in natural language processing on datasets of LinkedIn which aims to find out the jobs that appear most in a month or/and year. Therefore, the large data became renewed into the required or needful source. This study thus uses Multinomial Naïve Bayes and Linear Support Vector Machine learning algorithms for text classification and developed a trained multilingual dataset. The results indicate the most needed job vacancies in any field. This will help students, job seekers, and entrepreneurs with their career decisions

The Impact of Ambidextrous Innovation on the Performance and Competitiveness of Start-up Companies: An Empirical Study from Indonesia

  • SIJABAT, Eduard Alfian Syamsya;NIMRAN, Umar;UTAMI, Hamidah Nayati;PRASETYA, Arik
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.25-34
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    • 2022
  • Established and new companies face similar business challenges in achieving performance and competitiveness. Furthermore, several empirical studies using competitive advantage resource-based view theory show that established companies achieve performance and competitiveness with breakthrough innovations. Similarly, new business ventures with limited resources must incorporate breakthrough innovations to achieve performance and competitiveness. Therefore, this study aimed to examine the impact of ambidextrous innovation on new venture performance and competitiveness. It used an online survey to collect data from 178 newly established shipping agency companies in 22 provinces in Indonesia. Data was analyzed using multivariate analysis with WarpPLS 7.0, where the analysis unit was an organization represented by a director. The results showed that ambidextrous innovation positively and significantly affects firm performance and new venture competitiveness. This means that ambidextrous innovation that emphasizes adaptation and development improves the firm's internal business processes, even with limited resources. Moreover, it increases new ventures' competitiveness in responding to threats and taking advantage of market opportunities. These results contribute to the competitive advantage resource-based view theory, specifically for new venture empirical examination. Also, they contribute to practical implications in the transportation business, demonstrating that exploitative breakthrough innovation can improve new venture competitiveness and performance.

Enhanced Smart Tourism and its Role in Reshaping the Tourism Industry

  • Ulrike Gretzel;Hyunae Lee;Eunji Lee;Namho Chung;Chulmo Koo
    • Journal of Smart Tourism
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    • v.3 no.4
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    • pp.23-31
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    • 2023
  • This paper explores the concept of enhanced smart tourism as a response to the challenges and opportunities arising in the post-pandemic tourism landscape. The COVID-19 pandemic has not only halted the global tourism industry but also prompted a reevaluation of its sustainability, technological integration, and impact on local communities. The need for a paradigm shift in tourism is emphasized, focusing on digitalization, innovation, and resilience. Enhanced smart tourism is characterized by a shift from traditional practices to innovative governance models, increased emphasis on sustainability, and the integration of technology for better management and visitor experiences. The paper discusses the four pillars of enhanced smart tourism - Technology, Sustainability, Accessibility/Mobility, and Innovation/Creativity, and their expansion in the post-pandemic era. Furthermore, the significant role of data in smart tourism is examined, highlighting the importance of data valuation, management, and ethics. The paper proposes frameworks and methods for data valuation and emphasizes the necessity of a comprehensive approach to data within the smart tourism ecosystem. The conclusion points to the need for further empirical and conceptual research to fully realize the potential of enhanced smart tourism.

The Effects of Multidimensional Customer Trust on Purchase and eWOM Intentions in Social Commerce based on WeChat in China

  • Min Qu;Jaejon Kim;Sujeong Choi
    • Asia pacific journal of information systems
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    • v.27 no.2
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    • pp.77-98
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    • 2017
  • The development of mobile social networking service (SNS) triggers the growth of social commerce industry. Customers rely considerably on electronic word of mouth (eWOM) to make purchasing decisions. Thus, SNS is an important commercial platform that offers attractive opportunities and challenges to firms. This study sheds light on the role of SNS as a social commerce platform by focusing on WeChat, the most popular SNS in China. This study identifies three different types of trust based on SNS that customers perceive in the context of social commerce. These types of trust are contents trust, source trust, and platform trust. This study suggests the antecedents and consequences of each trust. Our results prove that eWOM intention relies on contents trust and source trust, whereas purchase intention depends on contents trust, source trust, and platform trust. This study also finds that contents trust is positively influenced by source trust and platform trust. Finally, the result verifies the key antecedents of each trust, namely, vividness and timeliness for contents trust, competence, benevolence, and integrity for source trust, and instrumental need and social need for platform trust. The discussion and implications on the findings are provided.

Opportunistic Spectrum Access Based on a Constrained Multi-Armed Bandit Formulation

  • Ai, Jing;Abouzeid, Alhussein A.
    • Journal of Communications and Networks
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    • v.11 no.2
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    • pp.134-147
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    • 2009
  • Tracking and exploiting instantaneous spectrum opportunities are fundamental challenges in opportunistic spectrum access (OSA) in presence of the bursty traffic of primary users and the limited spectrum sensing capability of secondary users. In order to take advantage of the history of spectrum sensing and access decisions, a sequential decision framework is widely used to design optimal policies. However, many existing schemes, based on a partially observed Markov decision process (POMDP) framework, reveal that optimal policies are non-stationary in nature which renders them difficult to calculate and implement. Therefore, this work pursues stationary OSA policies, which are thereby efficient yet low-complexity, while still incorporating many practical factors, such as spectrum sensing errors and a priori unknown statistical spectrum knowledge. First, with an approximation on channel evolution, OSA is formulated in a multi-armed bandit (MAB) framework. As a result, the optimal policy is specified by the wellknown Gittins index rule, where the channel with the largest Gittins index is always selected. Then, closed-form formulas are derived for the Gittins indices with tunable approximation, and the design of a reinforcement learning algorithm is presented for calculating the Gittins indices, depending on whether the Markovian channel parameters are available a priori or not. Finally, the superiority of the scheme is presented via extensive experiments compared to other existing schemes in terms of the quality of policies and optimality.

Deep Borehole Disposal of Nuclear Wastes: Opportunities and Challenges

  • Schwartz, Franklin W.;Kim, Yongje;Chae, Byung-Gon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.15 no.4
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    • pp.301-312
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    • 2017
  • The concept of deep borehole disposal (DBD) for high-level nuclear wastes has been around for about 40 years. Now, the Department of Energy (DOE) in the United States (U.S.) is re-examining this concept through recent studies at Sandia National Laboratory and a field test. With DBD, nuclear waste will be emplaced in boreholes at depths of 3 to 5 km in crystalline basement rocks. Thinking is that these settings will provide nearly intact rock and fluid density stratification, which together should act as a robust geologic barrier, requiring only minimal performance from the engineered components. The Nuclear Waste Technical Review Board (NWTRB) has raised concerns that the deep subsurface is more complicated, leading to science, engineering, and safety issues. However, given time and resources, DBD will evolve substantially in the ability to drill deep holes and make measurements there. A leap forward in technology for drilling could lead to other exciting geological applications. Possible innovations might include deep robotic mining, deep energy production, or crustal sequestration of $CO_2$, and new ideas for nuclear waste disposal. Novel technologies could be explored by Korean geologists through simple proof-of-concept experiments and technology demonstrations.

Strategic Management Plan for Transnational Organizations

  • Kang, Eungoo;Hwang, Hee-Joong
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.2
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    • pp.119-128
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    • 2018
  • A primary goal of transnationals is to offer their vision for selling products or services so that they are relevant to local cultures. The purpose of this study is to provide a solution for how transnational companies face various environments and how they can utilize and overcome them and survive strategically. This study will present strategic recommendations for transnational organizations. First, transnational organizations should identify the core areas where organizational can invest or allocate its precious resources to get full advantage of the attractive opportunities form the market and focus on building strong networks with the key stakeholders. Second, they should manage the knowledge flows and provide strategic direction in cooperative venture for the long term successful future and ensure that every department has an effective coordination with other departments in order to bring about the organizational change. Lastly, they should overcome the challenges managers face in a transnational business environment when companies expand their operations into international markets. The managers need to assess the organization's strengths and weaknesses and evaluate different forces which are present in the external environment. And then, Managers have to ensure that the company has sufficient resources, core competencies and capabilities.

Role Transition from Clinical Nurse to Case Manager for Medical-aid Beneficiaries: Taking Root in a Barren Land (임상간호사에서 의료급여관리사로의 역할 전이 과정: '척박한 땅에 뿌리내리기')

  • Park, Eun-Jun;Kim, Chun-Mi;Lim, Seung-Joo
    • Journal of Korean Academy of Nursing
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    • v.42 no.2
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    • pp.149-160
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    • 2012
  • Purpose: The purpose of this study was to explain the role transition process to nurse case managers (NCMs) for Medical-aid beneficiaries in Korea. Methods: Fourteen NCMs were interviewed regarding their experiences of becoming proficient in the new role of case manger. Data were analyzed through the application of grounded theory. Results: 'Taking root in a barren land' was the core category explaining the role transition process of NCMs. They engaged in four stages: launching, trial and error, proficiency, and wait-and-see stages. NCMs showed not only fear but also passion for case management practice. Despite their passion and effort, NCMs went through a period of trial and error. After becoming skilled, NCMs went through a stage of wait-and-see often because of job insecurity related to temporary position or few opportunities for promotion. Factors influencing NCMs' role transition process included their understanding of client characteristics, belief in case management, and support from their colleagues and families. Conclusion: NCMs experience many challenges in the process of becoming proficient NCMs. To help with their role transition, there is a need for education programs, preceptorship programs, research on their roles and functions, and regulation for securing NCMs' employment and career stability.