This review article explores the psychological characteristics, comorbid mental disorders, and psychosocial assessments throughout the solid organ transplant journey, spanning the pre-transplant, peri-transplant, and post-transplant phases for transplant recipients. The psychological burden and anxiety in the pre-transplant phase are high for organ failure patients with complex physical difficulties who are deciding to undergo transplantation and are on the waiting list. The pre-transplant psychosocial evaluation covers various aspects, including the patient's readiness, awareness of, and commitment to transplant treatment, medical compliance, psychopathological conditions such as cognitive function and personality disorders, lifestyle factors, including substance abuse, as well as various psychosocial factors like social support. During the peri-transplant phase, mental health problems such as postoperative delirium should be carefully recognized and addressed. After transplantation, it is essential to assist patients in coping with the various stressful experiences they encounter, manage psychiatric symptoms such as depression, anxiety, and insomnia, and improve treatment adherence and quality of life during long-term care for the transplanted organ. Managing psychiatric problems in post-transplant patients requires a deep understanding of immunosuppressant medications and a keen awareness of associated risks, including adverse effects and potential drug interactions. This comprehensive review emphasizes the significance of proactive mental health care and psychosocial evaluation, highlighting the necessity of a multidisciplinary approach to enhance the quality of life and overall success of transplant patients throughout all phases of transplantation.
Yeonju Kim;Yigun Lim;Subin Ahn;Junyeop Oh;Yoonbyeong Chae;Yoomin Choi;Jong Uk Kim
Journal of Acupuncture Research
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v.41
no.1
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pp.29-52
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2024
The aim of this review is to consolidate findings from clinical investigations spanning the past decade regarding the impact of acupuncture on Parkinson's disease (PD). The objective is to assess the efficacy of acupuncture as a therapeutic approach to PD, with the intention of informing future clinical practices and advancing the foundation for subsequent research endeavors in this area. A comprehensive literature search was conducted to identify clinical trials exploring the effects of acupuncture on PD between January 2014 and August 2023. Databases search included PubMed, EMBASE, CNKI, OASIS, KISS, KMBASE, RISS, and ScienceON. Quantitative evidence from randomized controlled trials (RCTs) was systematically reviewed, and the methodological quality of the included studies was assessed using Cochrane's risk of bias tool. Meta-analysis was performed using Review Manager (RevMan) 5.4.1 software. The systematic review encompassed a total of 38 RCTs involving 2,786 participants. Meta-analysis of 12 studies revealed that individuals treated with a combination of acupuncture and Western medicine exhibited notable improvements compared to those receiving Western medicine alone or sham acupuncture alongside Western medicine. However, the overall quality of the RCTs was deemed low, and no serious adverse events were reported. Across clinical investigations conducted in the past decade, acupuncture appears to hold promise as a complementary treatment for PD patients when administered alongside Western medicine. Nevertheless, this study identifies certain limitations that warrant consideration in future research endeavors. Enhanced emphasis on conducting high-quality RCTs is imperative to comprehensively evaluate the efficacy of acupuncture in managing PD.
Journal of the Korean Regional Science Association
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v.39
no.4
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pp.3-17
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2023
This study aims to comprehensively assess the phenomenon of structural unemployment, with a specific emphasis on unemployment resulting from spatial mismatch, while also exploring potential solutions. Spatial mismatch unemployment presents a unique challenge distinct from unemployment stemming from demand deficient, thus requiring a more multifaceted approach beyond the efforts of individual businesses and national economic recovery policy. To underscore the importance of addressing spatial mismatch, this research seeks to quantify its contribution to overall unemployment. Additionally, we evaluate the effectiveness of local labor markets, a prominent mechanism for alleviating spatial mismatch, categorized by occupation, to assess their effectiveness for addressing this issue. Through this analysis, our study advocates for the development of comprehensive policies within the realm of job-related initiatives, including spatial alignment through inter-regional collaborations, in conjunction with region-specific policies and strategies for job creation.
This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.
Background: The rising incidence of dialysis-dependent end-stage renal disease (ESRD) has underscored the need for collaboration between plastic surgeons and nephrologists, particularly concerning preoperative and postoperative management for facial reconstruction. This collaboration is essential due to a scarcity of comprehensive information in this domain. Methods: A study initiated in January 2015 involved 10 ESRD cases on dialysis undergoing Mohs micrographic surgery for facial skin cancer, followed by reconstructive surgery under general anesthesia. To ensure surgical safety, rigorous measures were enacted, encompassing laboratory testing, nephrology consultations, and preoperative dialysis admission. Throughout surgery, meticulous control was exercised over vital signs, electrolytes, bleeding risk, and pain management (excluding nonsteroidal anti-inflammatory drugs). Postoperative assessments included monitoring flap integrity, hematoma formation, infection, and cardiovascular risk through plasma creatinine levels. Results: Adherence to the proposed guidelines yielded a notable absence of postoperative wound complications. Postoperative plasma creatinine levels exhibited an average decrease of 1.10 mg/dL compared to preoperative levels, indicating improved renal function. Importantly, no cardiopulmonary complications or 30-day mortality were observed. In ESRD patients, creatinine levels decreased significantly postoperatively compared to the preoperative levels (p< 0.05), indicating favorable outcomes. Conclusion: The consistent application of guidelines for admission, anesthesia, and surgery yielded robust and stable outcomes across all patients. In particular, the findings support the importance of adjusting dialysis schedules. Despite the limited sample size in this study, these findings underscore the effectiveness of a collaborative and meticulous approach for plastic surgeons performing surgery on dialysis-dependent patients, ensuring successful outcomes.
Hyun Jung Kim;Yea Bin Cho;Kyun Heo;Ji Woong Kim;Ha Gyeong Shin;Eun-bi Lee;Seong-Min Park;Jong Bae Park;Sukmook Lee
BMB Reports
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v.57
no.4
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pp.188-193
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2024
Gastric cancer (GC), a leading cause of cancer-related mortality, remains a significant challenge despite recent therapeutic advancements. In this study, we explore the potential of targeting cell surface glucose-regulated protein 94 (GRP94) with antibodies as a novel therapeutic approach for GC. Our comprehensive analysis of GRP94 expression across various cancer types, with a specific focus on GC, revealed a substantial overexpression of GRP94, highlighting its potential as a promising target. Through in vitro and in vivo efficacy assessments, as well as toxicological analyses, we found that K101.1, a fully human monoclonal antibody designed to specifically target cell surface GRP94, effectively inhibits GC growth and angiogenesis without causing in vivo toxicity. Furthermore, our findings indicate that K101.1 promotes the internalization and concurrent downregulation of cell surface GRP94 on GC cells. In conclusion, our study suggests that cell surface GRP94 may be a potential therapeutic target in GC, and that antibody-based targeting of cell surface GRP94 may be an effective strategy for inhibiting GRP94-mediated GC growth and angiogenesis.
Journal of Information Science Theory and Practice
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v.12
no.2
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pp.1-21
/
2024
This study aims to develop a comprehensive technological framework anchored in a theoretical model to assess user satisfaction with university library websites (ULWs) in Myanmar. Adopting a quantitative approach, data were obtained via convenience sampling and subsequent inferential analysis. The target population for this study investigated users of various ULWs in Myanmar who were utilizing six university libraries. Of the collected responses, 273 valid surveys were analyzed using SPSS (version 25) and AMOS. Tools such as structural equation modeling and confirmatory factor analysis played pivotal roles in data interpretation and hypothesis validation. The proposed model highlights the significance of information quality, system quality, and librarian services in influencing both perceived usefulness (PU) and perceived ease of use (PEOU), culminating in user satisfaction. Notably, information quality and librarian services primarily impact PU, while system quality is more influential on PEOU. Interestingly, while PU has a direct bearing on user satisfaction, PEOU does not. Moreover, demographic elements such as age, gender, and education level introduce considerable differences in the utilization of ULW services. Drawing from the study's findings, recommendations are made for ULW managers in Myanmar to bolster services, aligning with user preferences. The resulting framework offers tangible benefits to Myanmar's educational sector, including academia, government entities, librarians, and policy framers. This pioneering research delves into the realm of ULWs in Myanmar's higher education sector. Practically, the research underscores the necessity for stakeholders, encompassing Myanmar's library experts and governing bodies, to elevate the standard of ULWs. Theoretically, a salient takeaway is the direct linkage between heightened usefulness and increased user satisfaction.
Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.
Dalal M. Althawadi;Sara Aldossary;Aryam Alnemari;Malak Alghamdi;Fatema Alqahtani;Atta-ur Rahman;Aghiad Bakry;Sghaier Chabani
International Journal of Computer Science & Network Security
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v.24
no.2
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pp.15-24
/
2024
One of the most significant issues in combinatorial optimization is the classical NP-complete conundrum known as the 0/1 Knapsack Problem. This study delves deeply into the investigation of practical solutions, emphasizing two classic algorithmic paradigms, brute force, and dynamic programming, along with the metaheuristic and nature-inspired family algorithm known as the Genetic Algorithm (GA). The research begins with a thorough analysis of the dynamic programming technique, utilizing its ability to handle overlapping subproblems and an ideal substructure. We evaluate the benefits of dynamic programming in the context of the 0/1 Knapsack Problem by carefully dissecting its nuances in contrast to GA. Simultaneously, the study examines the brute force algorithm, a simple yet comprehensive method compared to Branch & Bound. This strategy entails investigating every potential combination, offering a starting point for comparison with more advanced techniques. The paper explores the computational complexity of the brute force approach, highlighting its limitations and usefulness in resolving the 0/1 Knapsack Problem in contrast to the set above of algorithms.
Journal of The Korean Society of Integrative Medicine
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v.12
no.1
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pp.183-190
/
2024
Purpose : This study aims to conduct a comprehensive comparison and analysis of intervention strategies utilized for school-aged children facing difficulties in writing, focusing on evaluating the effectiveness of various intervention approaches both domestically and internationally. The primary focus is on assessing the efficacy of each intervention approach and identifying gaps in the existing literature. Methods : Data for this study were gathered from the domestic database RISS from January 2013 to March 2020, and international databases Pubmed and Google Scholar were utilized. The keywords for domestic literature search included 'occupational therapy', 'handwriting', and 'school-aged', while for international literature search, the keywords were 'occupational therapy', 'handwriting', and 'children'. A total of 4 international and 2 domestic articles were selected for review based on predetermined inclusion and exclusion criteria. Results : The study findings present a thorough comparative analysis of intervention strategies, categorizing them into task-oriented intervention, sensory-motor intervention, and integrated intervention. All intervention methods demonstrated notable improvements in the legibility of handwriting. Comparison between domestic and international literature revealed a predominant use of task-oriented intervention in domestic studies, while international studies showcased a diverse range of intervention methods. Conclusion : Interventions were categorized into computer-based, task-oriented, sensory-motor, and integrated interventions. Task-oriented interventions were the most common in both domestic and international studies, while integrated interventions were the most effective. Based on these findings, it is necessary to increase awareness of the need for handwriting intervention research among occupational therapists in Korea. Additionally, there is a need for well-supported handwriting intervention research with larger sample sizes in both domestic and international occupational therapy. Finally, future research should actively investigate the application of tailored integrated interventions for school-aged children with handwriting difficulties.
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