Objective: The present study is designed to delve deeper into the realm of fibromyalgia (FM) symptom management by investigating the effects of diaphragmatic breathing on the prefrontal cortex (PFC) in women diagnosed with FM. Using functional near-infrared spectroscopy (fNIRS), the study aims to capture real-time PFC activation patterns during the practice of diaphragmatic breathing. The overarching objective is to identify and understand the underlying neural mechanisms that may contribute to the observed clinical benefits of this relaxation technique. Design: A case report Methods: To achieve this, a twofold approach was adopted: First, the patient's breathing patterns were meticulously examined to detect any aberrations. Following this, fNIRS was employed, focusing on the activation dynamics within the PFC. Results: Our examination unveiled a notable breathing pattern disorder inherent to the FM patient. More intriguingly, the fNIRS analysis offered compelling insights: the ventrolateral prefrontal cortex (VLPFC) displayed increased activation. In stark contrast, regions of the anterior prefrontal cortex (aPFC) and orbitofrontal cortex (OFC) manifested decreased activity, especially when benchmarked against typical activations seen in healthy adults. Conclusions: These findings, derived from a nuanced examination of FM, underscore the condition's multifaceted nature. They highlight the imperative to look beyond conventional symptomatology and appreciate the profound neurological and physiological intricacies that define FM.
This paper is a study to find the philological basis of Bihoon (鼻熏) therapy. There is no separate philological study of Bihoon therapy to date, and for this reason, there is no clear definition or specific treatment manual. In this study, a related database was created and analyzed by examining literature data related to Bihoon therapy, focusing on Korean traditional medical books. There were about 1,000 data points related to Bihoon therapy in 45 kinds of medical books. They were largely classified into 1. Acute diseases such as insensitivity, 2. Diseases that occur in the upper human body such as nose, head, eyes, and throat, 3. Women's diseases related to childbirth, 4. Treatment of skin diseases and prevention of infectious diseases. In the case of insensitivity treatment, the focus was on awakening the patient's mind, and the treatment of diseases such as the nose, head, eyes, etc. was focused on resolving each symptom. Symptoms related to childbirth were mainly treated for uterine escapism or fainting after childbirth, while skin diseases were mainly treated for diseases that did not heal well, such as amniotic fluid. If a multifaceted approach to non-discipline therapy is added in the future, it is expected that clinical utilization will also be increased.
Sriniwas Pandey;Hyunok Doo;Gi Beom Keum;Eun Sol Kim;Jinok Kwak;Sumin Ryu;Yejin Choi;Juyoun Kang;Sheena Kim;Na Rae Lee;Kwang Kyo Oh;Ju-Hoon Lee;Hyeun Bum Kim
Journal of Animal Science and Technology
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v.66
no.2
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pp.266-278
/
2024
Antibiotic resistance (AR) is a complex, multifaceted global health issue that poses a serious threat to livestock, humans, and the surrounding environment. It entails several elements and numerous potential transmission routes and vehicles that contribute to its development and spread, making it a challenging issue to address. AR is regarded as an One Health issue, as it has been found that livestock, human, and environmental components, all three domains are interconnected, opening up channels for transmission of antibiotic resistant bacteria (ARB). AR has turned out to be a critical problem mainly because of the overuse and misuse of antibiotics, with the anticipation of 10 million annual AR-associated deaths by 2050. The fact that infectious diseases induced by ARB are no longer treatable with antibiotics foreshadows an uncertain future in the context of health care. Hence, the One Health approach should be emphasized to reduce the impact of AR on livestock, humans, and the environment, ensuring the longevity of the efficacy of both current and prospective antibiotics.
The role of the neonatal nurse specialist has been well established over the past decade and now reform in 21st century. Neonatal nurse specialists responsibilities in caring for critically and long-term chronically ill infants and their families are very important. Neonatal nurse specialists have a two fold responsibility in caring for these infants. First, through acquiring advanced practice education in complex neonatal care and diagnostic skills, neonatal nurse specialists meet the physiologic needs of the infant. Second, neonatal nurse specialists provide a more holistic approach to their care through evaluating the family in treatment plans and involving the family in discharge planning for the infant. In some institutions, neonatal nurse specialists are directly involved in institutional and/or home follow-up care and case management also. It is the neonatal nurse specialists responsibility to function collaboratively with the multidisciplinary team in managing critically or chronically ill infants from admission to discharge. The role of the neonatal nurse specialist case manager can be described as one that focuses on individualized care of the infant, while providing continuity of care to both the infant and family. The neonatal nurse specialist's role will vary depending on the neonatal intensive care unit(NICU). Therefore, the multidisciplinary collaborative approach to long-term management of infants in the NICU is extremely important to provide successful transition to home or to long-term rehabilitative care facilities because care for the chronically ill infant is complex and multifaceted. I suggest the role of neonatal nurse specialist in 21st century are as follows. 1. Diagnostic/patient assessment 2. Management of patient health/illness 3. Administering/monitoring therapeutic interventions and regimens 4. Monitoring/ensuring quality of health care practices 5. Organization and work role 6. Helping role 7. Teaching/coaching role 8. Management of rapidly changing situations 9. Consulting role The advanced practice nursing model of care delivered by neonatal nurse specialist's in the NICU incorporates medical and nursing role functions and emphasizes holism, caring, and a health perspective for critically and chronically ill neonates and their families.
Objectives: An inadequate understanding of infertility can affect individuals' self-efficacy and ability to perform self-care; thus, reproductive health education is an important part of infertility treatment. The present qualitative study aimed to explore the experiences and educational needs of infertile women with regard to reproductive health. Methods: In this qualitative study, we utilized a content analysis approach. Purposive sampling was performed to ensure maximum diversity. In total, 23 individual interviews were conducted with 20 Iranian women with infertility and 3 key informants between July 2018 and February 2019 in northern Iran. Data were collected through in-depth, semi-structured interviews. Data analysis was performed using a conventional content analysis approach. Results: Reproductive health education needs were identified by analyzing interview data from 4 main categories: familiarity with the fertility process and preparation for pregnancy, recognition of infertility and expectations around seeking treatment, recognition of preventive actions associated with reproductive health, and correction of false beliefs. Recognizing the causes of infertility and understanding the different approaches to infertility treatment are among the most important educational needs of infertile women. The potential for neglect of health-related issues due to concerns about fertility and the maternal experience necessitates education about preventive measures for cervical cancer, breast cancer, and sexually transmitted infections. Correcting misconceptions, including those related to contraceptives and traditional medicine, can also help promote reproductive health. Conclusions: In infertile women, the educational needs associated with reproductive health are multifaceted. Satisfying these needs can help achieve optimal treatment results and promote reproductive health.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.20
no.5
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pp.187-193
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2020
The purpose of this study is to study the methodology of deriving a policy that activates artificial intelligence from the governmental perspective in order to induce corporate growth by effectively grafting artificial intelligence technology into society and thereby improve individual and national competitiveness by creating new jobs. In order to derive activation plans, 1) detailed investigation of the domestic environment, 2) discovery of priority support fields and models that can be applied to artificial intelligence, 3) preparation of guidelines for activation and introduction, 4) specific methods for promoting and activating artificial intelligence Should be presented. The proposed artificial intelligence activation method performs a procedure to verify and confirm the effectiveness of artificial intelligence nurturing through a multi-faceted approach. The multi-faceted analysis approach includes business ecosystem aspects, industry-specific aspects including companies, technology fields, policy aspects, public and non-public services aspects, government-led and private-led aspects. Therefore, it can be reviewed as a method of inducing activation in various forms. In the future research field, it is necessary to prove the effectiveness of the proposed activation plan based on empirical data on artificial intelligence-based services. The expected effect of this study is to contribute to support the development of artificial intelligence technology and to establish related policies.
Purpose In the contemporary landscape, marked by the enduring impact of COVID-19 and the recent disruptions stemming from the conflict in Ukraine, the purpose of this study is to navigate the era characterized by pervasive risk and uncertainty. Specifically, the study aims to dissect the impact of the COVID-19 outbreak on digital transformation, exploring the factors influencing this process and considering the multifaceted dynamics at play. The focus extends to the post-COVID-19 landscape, scrutinizing the implications and meanings of digital transformation both before and after the pandemic. Additionally, the study delves into future digital trends, with particular attention to climate and environmental issues, emphasizing corporate responsibilities in averting crises similar to COVID-19. The overarching goal is to provide a holistic perspective, shedding light on both positive and negative facets of digital transformation, and advocating for regulatory enhancements and legal frameworks conducive to a balanced and resilient digital future. Design/methodology/approach This study employs a comprehensive approach to analyze the impact of the COVID-19 outbreak on digital transformation. It considers various facets, such as smart devices reshaping daily routines, transformative changes in corporate ecosystems, and the adaptation of government institutions to the digital era within the broader context of the Fourth Industrial Revolution. The analysis extends to the post-COVID-19 landscape, examining the implications and meanings of digital transformation. Future digital trends, especially those related to climate and environmental issues, are prognosticated. The methodology involves a proactive exploration of challenges associated with digital transformation, aiming to advocate for regulatory enhancements and legal frameworks that contribute to a balanced and resilient digital future. Findings The findings of this study reveal that the digital economy has gained momentum, accelerated by the proliferation of non-face-to-face industries in response to social distancing imperatives during the COVID-19 pandemic. Digital transformation, both preceding and succeeding the onset of the pandemic, has precipitated noteworthy shifts in various aspects of daily life. However, challenges persist, and the study highlights factors that either bolster or hinder the transformative process. In the post-COVID-19 era, corporate responsibilities in averting crises, particularly those resembling the pandemic, take center stage. The study emphasizes the need for a holistic perspective, acknowledging both positive and negative facets of digital transformation. Additionally, it calls for proactive measures, including regulatory enhancements and legal frameworks, to ensure a balanced and resilient digital future.
Zafar, Raheel;Malik, Muhammad Noman;Hayat, Huma;Malik, Aamir Saeed
KSII Transactions on Internet and Information Systems (TIIS)
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v.14
no.4
/
pp.1543-1561
/
2020
Taxonomy of human brain activity is a complicated rather challenging procedure. Due to its multifaceted aspects, including experiment design, stimuli selection and presentation of images other than feature extraction and selection techniques, foster its challenging nature. Although, researchers have focused various methods to create taxonomy of human brain activity, however use of multivariate pattern analysis (MVPA) for image recognition to catalog the human brain activities is scarce. Moreover, experiment design is a complex procedure and selection of image type, color and order is challenging too. Thus, this research bridge the gap by using MVPA to create taxonomy of human brain activity for different categories of images, both colored and gray scale. In this regard, experiment is conducted through EEG testing technique, with feature extraction, selection and classification approaches to collect data from prequalified criteria of 25 graduates of University Technology PETRONAS (UTP). These participants are shown both colored and gray scale images to record accuracy and reaction time. The results showed that colored images produces better end result in terms of accuracy and response time using wavelet transform, t-test and support vector machine. This research resulted that MVPA is a better approach for the analysis of EEG data as more useful information can be extracted from the brain using colored images. This research discusses a detail behavior of human brain based on the color and gray scale images for the specific and unique task. This research contributes to further improve the decoding of human brain with increased accuracy. Besides, such experiment settings can be implemented and contribute to other areas of medical, military, business, lie detection and many others.
Kim, Nam Kyu;Park, Jae Young;Park, Myung Soo;Lee, Hyun;Cho, Hae Jin;Eimes, John A.;Kim, Changmu;Lim, Young Woon
Mycobiology
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v.44
no.3
/
pp.146-154
/
2016
The wood decay fungi are a diverse taxonomic group that plays a pivotal role in forest carbon cycling. Wood decay fungi use various enzymatic pathways to digest dead or living wood in order to obtain carbon and other nutrients and these enzymatic systems have been exploited for both industrial and medical applications. Over 600 wood decay fungi species have been described in Korea; however, the recent application of molecular markers has dramatically altered the taxonomy of many of these wood decay fungi at both the genus and species levels. By combining molecular methods, specifically sequences of the internal transcribed spacer region, with traditional morphological characters, this study identified five new species records for Korea in five genera: Aurantiporus, Favolus, Neofavolus, Loweomyces, and Hymenochaetopsis. Three of these genera (Aurantiporus, Favolus, and Loweomyces) were previously unknown in Korea. The relatively simple morphology of the wood decay fungi often leads to ambiguous taxonomic assignment. Therefore, molecular markers are a necessary component of any taxonomic or evolutionary study of wood decay fungi. Our study highlights the need for a more robust and multifaceted approach in investigating new wood decay fungi in Korea.
The literature on parent-child relationships in young adulthood lacks a systemic approach that considers the multifaceted nature of intergenerational relationships. In this paper, we identify the latent profiles of young Korean adults' relationships with their parents based on the six dimensions of intergenerational solidarity (structural, associational, affectual, consensual, functional, and normative solidarity) as indicators. We considered solidarity for the mother and the father separately for structural, associational, affectual, and consensual dimensions. In terms of functional and normative solidarity, we measured both upstream and downstream intergenerational support. The sample included 1,015 young adults who were 19-34 years old, never married, not in secondary school, and had both parents living. The latent profile analysis revealed four profiles: (a) independent but intimate (22.7%), (b) coresident, outwardly intimate (32.4%), (c) detached from father (6.7%), and (d) coresident, intimate (38.2%). The factors that predicted each profile included the young adults' education, income, subjective socioeconomic status, and experiencing the features of emerging adulthood along with the parents' marital status, father's employment, and overparenting. The "coresident, intimate" group reported significantly higher levels of life satisfaction and fewer depressive symptoms compared to the other three groups. The lowest levels of psychological adjustment were found in the "coresident, outwardly intimate" group and "detached from father" group.
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