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Objectives: A paper filter was prepared by pitch based activated carbon fibers to investigate the removal efficiency of toxic gas. Also, changes in pore characteristics and mechanical properties according to the ratio of the adsorbent and the binder were observed to optimize the decrease in specific surface area and micropore, which are the unique characteristics of activated carbon fibers. In addition, it is intended to establish optimized paper filter derived activated carbon fiber manufacturing conditions through evaluation of toxic gas removal characteristics. Method: The pore characteristics of the activated carbon fiber and prepared paper were analyzed by measuring the BET specific surface area, and SEM analysis was performed on the fine surface shape. Tensile strength and air permeability were performed according to ISO 1924-2 and ASTM D737: 04, respectively. The adsorption performance of the prepared filter was evaluated as a gas removal efficiency using a gas detection tube (GV-110S). Results and Discussion: As the content of the binder increased in the paper manufacturing process, it was confirmed that the specific surface area of ​​the prepared filter decreased by up to 39.5% compared to the activated carbon fiber. It is considered that the micropores were closed because the surface of the activated carbon fiber was coated with the excessive addition of the binder. The removal efficiency showed a removal rate of 90% of ammonia, and methyl mercaptan and hydrogen sulfide showed a removal rate of about 60%. This result might be due to the difference in the physical adsorption rate according to the vapor pressure of each material. Conclusions: An activated carbon fiber-based paper filter for removing of toxic gas was prepared. It was confirmed that the mixing ratio of the adsorbent and the binder was an important process parameter for determining moldability and adsorption performance. Finally, optimum condition was selected as weight ratio condition of 8:2.

Medical education research subjects are incredibly diverse and have changed over time. This work in particular aims to compare and analyze research trends in medical education through the words used in the titles of these research papers. Academic Medicine (the journal of the Association of American Medical Colleges), Medical Teacher (the journal of the Association of Medical Education in Europe), the Korean Journal of Medical Education (KJME), and Korean Medical Education Review (KMER) were selected and analyzed for the purposes of this research. From 2009 to 2018, Academic Medicine and Medical Teacher published approximately 10 to 20 times more papers than the KJME and KMER. Frequently used words in these titles include “medical,” “student,” “education,” and “learning.” The words “clinical” and “learning” were used relatively often (7.80% to 13.66%) in Korean journals and Medical Teacher, but Academic Medicine used these phrases relatively less often (6.47% and 4.41%, respectively). Concern with such various topics as problem-based learning, team-based learning, program evaluations, burnout, e-learning, and digital indicates that Medical Teacher seems to primarily deal with teaching and learning methodologies, and Academic Medicine handles all aspects of medical education. The KJME and KMER did not cover all subjects, as they publish smaller papers. However, it is anticipated that research on new subjects, such as artificial intelligence in medical education, will occur in the near future.

From many years, studies on psychoanalysis were built within a Newtonian framework. Today, with updated contemporary knowledge about quantum physics, we have the opportunity to bring a deeper appreciation to the study of psychoanalysis. Based on the contemporary development of quantum mechanics, I sought to demonstrate how these developments are compatible with psychoanalytic psychotherapy. By illustrating the supervised psychotherapy case below, I sketch a line of thought about a quantum-like modeling in psychoanalytic psychotherapy, specifically in the psychoanalytic listening. Finally, I have proposed ‘Quantum Listening’ eventually transmitting this quantum-like perspective of psychoanalytic listening to the rest of the psychoanalyst community and psychiatrist society in general. Through this paper, I hope to demonstrate how quantum physics is applicable to psychoanalysis. Although it is hard to know how much credence is given to the concept ‘Quantum Listening’, it does add motivation for a more comprehensive understanding of psychoanalytic listening. This short and basic paper is a preliminary to ‘Quantum Listening’ and further research will be carried out afterwards. [ABSTRACT FROM AUTHOR]

This study examines the trend of research on food and culture in papers published in the Journal of The Korean Society of Food Culture from 1986 to 2020. The journals published a total of 329 papers, which we classified into 5 main categories and 13 middle categories. Of these, 204 articles were on “Korean traditional food culture.” The most studied topic in the entire period was “Perception of Koreans towards traditional food, preference, satisfaction, and usage.” A total of 76 studies related to “Korean contemporary food culture.” The most advanced topic researched concerned “Recognition and attitude”; these studies were consistently carried out throughout the research period. The main classification of “World food culture” encompassed 32 studies, with major research focused on “World's Modern Food Culture” and the most advanced being “Comparison of Food Cultures of Foreign and Korean Food Cultures.” All studies were consistently spaced out during the study period. These studies provide an integrated knowledge in the field of food and culture and can be used as a basic material for related research in the future. [ABSTRACT FROM AUTHOR]

Paper-cut is not simply a form of traditional Chinese folk art. Lucky motifs developed in paper-cut certainly acquired profound cultural connotations. As paper-cut is a time-honoured skill across the nation, interpreting those motifs requires cultural receptiveness and anthropological sensitivity. The author of this article analyzes examples of paper-cut from Northern Shaanxi, China, to identify the cohesive motifs and explore the auspiciousness of the specific concepts of Fu, Lu, Shou, Xi. The paper-cut of Northern Shaanxi is an ideal representative of the craft as a whole because of the relative stability of this region in history, in terms of both art and culture. Furthermore, its straightforward style provides a clear demonstration of motifs regarding folk understanding of expectations for life.

Objectives : The focus of the analysis was laid on changes in research pertaining to pharmacopuncture in regards to time progression. Methods : Type analysis was done on pharmacopuncture related papers published in the Journal of Korean Institute of Pharmacopuncture from the inaugural issue to June 2006 issue. 196 papers are analyzed to the sort of type. Results : For type analysis of the type of studies, experiment papers outnumbered other types with 94 cases, followed by 67 for clinical trials, and 35 for literary studies. Type analysis on the type of illnesses listed in the Methods section, 31 papers concentrated on arthritis or HIVD of spine, 6 for Pharmacopuncture response in human, 5 for anti-cancer and immune disorders, etc. Conclusion : Since its inaugural issue in 1997 to August 2006 issue ranging 10 years, type analysis revealed that the number of journals pertaining to pharmacopuncture has risen steadily over the years and nearly half of papers published recently are dealing with pharmacopuncture. Pharmacopuncture is a treatment method based on the unique theory of Korean traditional medicine. Its superior efficacy is proven through numerous research works, and effort and academical approach on pharmacopuncture are expected to receive positive evaluation.

The core element driving the advancement of metaverse technology is presumed to be avatar technology. Therefore, we intend to craft a research paper focused on facial expression manipulation of avatars in real-time through the integration of emotion information based on natural language processing. The central idea involves utilizing emotion information derived from natural language processing to determine the avatars' expressions. Subsequently, these expressions will be translated into facial features utilizing a pre-trained deep learning model, whereby the movement of pixels constituting the face is guided. The displacement of pixels corresponding to expressions will be facilitated using pre-trained networks, leveraging pixel vector information specific to each emotional element [ABSTRACT FROM AUTHOR]

With the advancement of IoT(Internet of Things), image processing is being studied in various fields. Salt and pepper(S&P) noise in image acquisition devices, such as CT(Computed Tomography), MRI(Magnetic Resonance Imaging), X-ray, and scanning equipment, may develop due to environmental and physical factors, thereby distorting the original image. Numerous studies have been conducted to remove S&P noise, but existing filters have shown significantly insufficient restoration of high-density noise, low-light, and patterned images. Therefore, this paper proposes a filter high-density and low-light noise environments and preserve the patterns properties appearing in the images. In the proposed algorithm, we design local masks transformed for high-density noise and low-light images and defined the patterns represented in the images by determining and grouping similar pixels. Different filters are applied according to the pattern of similar pixel group to preserve the geometry based on its position in the input image. [ABSTRACT FROM AUTHOR]

Devices such as X-Ray, CT, MRI, scanners, etc. can generate S&P noise from several sources during the image acquisition process. Since S&P noise appearing in the image degrades the image quality, it is essential to use noise reduction technology in the image processing process. Various methods have already been proposed in research on S&P noise removal, but all of them have a problem of generating residual noise in an environment with high noise density. Therefore, this paper proposes a filtering algorithm based on a three-dimensional plane equation by setting the grayscale value of the image as a new axis. The proposed algorithm subdivides the local mask to design the three closest non-noisy pixels as effective pixels, and applies cosine similarity to a region with a plurality of pixels. In addition, even when the input pixel cannot form a plane, it is classified as an exception pixel to achieve excellent restoration without residual noise. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to evaluate a computerized touch-screen version of the asthma-specffic quality-of-life (cA-QOL) questionnaire against the conventional paper-and-pencil version (pA-QOL) for equivalence, time for completion, user preference, and ease of use. Methods: A total of 261 patients were recruited. A randomized cross-over design was used. Patients in group A completed the cA-QOL first while waiting to see a physician, and completed the pA- QOL version after seeing the physician. Patients allocated in group B completed these questionnaires in the reverse order. The patients were asked questions about user preference and ease of use of the cA-QOL. The time taken to complete both versions of the questionnaire was measured. Results: Weighted kappa coefficients of all items showed almost per- fect agreement. The time required to complete the pA-QOL is faster than the time for cA-QOL. The patients who preferred the cA-QOL were 37.5%, while those who preferred the pA-QOL were 29.9%. Most patients reported that the cA-QOL was "easy" or "very easy" to complete. Conclusion: The cA-QOL is the computerized equivalent of the pA-QOL. The findings herein demonstrate that the cA-QOL can be helpful to nurses in busy practices for assessing, collecting, and evaluating their patients' health related quality of life. [ABSTRACT FROM AUTHOR]

This study is an introductory study on Convergence of Traditional Chinese Paper-cutting Art and Contemporary Ceramic Decoration. As a part of Chinese folk art, now newly developed by the convergence of contemporary ceramic ar, today it promotes artists’ creativity and find a alternative way for ceramic art. This mainly explore transition of 2 dimentional paper-cutting art into ceramic art. As a part of convergence art, this study suggest combination of 4 elements yin-yang-true-false with understanding of its history and contemporary status, and towards aesthetic values [ABSTRACT FROM AUTHOR]

Purpose: The patient-reported outcome measure (PROM) is used to quantify the subjective state of patients before and after the treatment. The electronic method was recently developed and used for the completion of PROM, in addition to the conventional paper and pencil method. This study identified whether the results of Foot Function Index (FFI) and Foot and Ankle Outcome Score (FAOS) using the paper and pencil method was different from those using the electronic method. Materials and Methods: Between May 2016 and August 2016, 42 patients who were admitted to the Seoul Foot and Ankle Center two days before surgery were included for evaluation. The mean age was 46 years (range, 21-72 years). There were 29 males and 13 females. To use the electronic method, the PADAS software (PADAS, Seoul, Korea) was implemented using a touch pad. The primary trial of FFI and FAOS was performed using either the paper-and-pencil method or the electronic method. At 24 hours after the primary test, a secondary trial of FFI and FAOS was performed using the other method. Then, we identified the reliability of FFI and FAOS between the two methods by calculating the intraclass coefficient. Results: Twenty-two patients underwent the first trial using the paper-and-pencil method, and 20 patients underwent the first trial using the electronic method. Of the 42 patients, 8 patients were excluded from this study and only 34 patients were included in this study. The reliability of FFI was excellent with an intraclass coefficient of 0.957, and the reliability of FAOS was also excellent with an intraclass coefficient of 0.840. Conclusion: The paper-and-pencil method and the electronic method have the same result for the completion of FFI and FAOS in this study. Therefore, it is commonly considered that the completion of FFI and FAOS using the electronic method can be applied in practice. [ABSTRACT FROM AUTHOR]

This study suggests focused in user-centered design which are new separate discharge system that must recycle in paper materials. I searched cases in Korea’s current law and regulation in recycling disposal guidelines and already succeed cases in each city that are Asia, Europe, and North America. Suggesting focused in user-centered design of ID(Identification) separate discharge system due to user’s good participations, feedbacks of participation’s results, and well-organized in awarding. This system consists of visual individual’s ID(Identification) that are stickered in only used bag. User must recycle in separate discharge system only used bags, and results must visualized in each user and rewards to user. This separate discharge system is meaning to stimulate user’s good participations. [ABSTRACT FROM AUTHOR]

Recently, data production has seen explosive growth, and the storage systems to store these big data safely and quickly is evolving in various ways. A typical configuration of storage systems is the use of SSDs with fast data processing speed as a RAID group that can maintain reliable data. However, since NAND flash memory, which composes SSD, has the feature that deterioration if writes more than a certain number of times are repeated, can increase the likelihood of simultaneous failure on multiple SSDs in a RAID group. And this can result in serious reliability problems that data cannot be recovered. Thus, in order to solve this problem, we propose a method of throttling IOs so that each SSD within a RAID group leads to a different life-end. The technique proposed in this paper utilizes SMART to control the state of each SSD and the number of IOs allocated according to the data pattern used step by step. In addition, this method has the advantage of preventing large amounts of concurrency defects in RAID because it induces differential lifetime finishes of SSDs. [ABSTRACT FROM AUTHOR]

This study analyzed research trends on smart logistics in Korea by conducting social network analysis (SNA) using R. The purpose of this study is to enhance the understanding of the smart logistics field along with the smart logistics status and policy review, and to suggest implications and future research tasks. The analysis period and subjects were 128 academic journal papers on smart logistics-related topics over the past 10 years (2011-2020), and the results were divided into the first half (2011-2015) and the second half (2016-2020). The analysis of the study was carried out step-by-step through frequency analysis, network centrality analysis, and visualization. As a result of the study, the quantitative increase and diversification of the research field were confirmed. It was also confirmed that the concentration of research on core areas increased by increasing the proportion of duplicate keywords. In addition, keywords with high betweenness centrality and degree centrality score such as Logistics, Authentication, Smart, Service, RFID, Technology, and Revolution were presented. Lastly, this study reviewed the structure with a focus on betweenness centrality after visualizing the network with main keywords. As a result, early research was focused on the field of logistics, and after 2016, it was confirmed that the center of research was diversifying and expanding with the development of the 4 th industrial revolution and major technologies. [ABSTRACT FROM AUTHOR]

The first paper underscores the importance of managing pilots' mental and physical health to enhance aviation safety. It emphasizes the need for regular medical exams, fatigue management systems, and mental health support to reduce accidents. The second paper explores advancements in virtual reality (VR) technology in aerospace medicine. VR offers immersive training that mimics real-flight conditions, helping pilots prepare for emergencies and sensory illusions. It also enhances teamwork in aeromedical evacuation missions. Despite challenges like high costs and regulations, the paper anticipates VR's expanding role due to technological progress. The third paper examines how microgravity impacts astronauts' muscle and bone health during spaceflight. Reduced gravity leads to muscle atrophy and a shift to muscle fibers that fatigue easily. The study highlights that space radiation negatively affects bone cells, increasing bone loss and the risk of osteoporosis. The fourth paper discusses the evolving role of aerospace medicine with the rise of civilian space travel. As more civilians with diverse health backgrounds enter space, there's a greater need for medical professionals skilled in space environments. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to suggest a direction for future studies based on the analysis of the articles published in the Korean Journal of Hospice and Palliative Care from 1998 to 2012. A total of 240 articles (51 reviews, 189 original) were examined in three five-year groups. Categories of analysis include authors' background (profession, region) and general characteristics and qualitative aspects of the original paper (participants, topic, study design, data analysis, ethical consideration, multidisciplinary approach, research funds and sample size estimation). While the journal publishes more of articles than before, it is mainly due to the increase in the number of review articles, not original articles. As for study topics, healthcare industry and physical symptoms were most frequently studied. The disparity in authors' regional background is fading, and more articles are published by nurses than before. Moreover, more studies are funded while fewer papers tend to adopt a multidisciplinary approach or focus on care givers. Also, in terms of a study design, the number of experimental and methodological studies has slightly increased. In the qualitative aspect, studies considered ethical issues and collected participation consent, and fewer studies reported an estimated sample size. In data analysis, post-adjustment comparison decreased, and new analytical methods are increasingly used. Our results indicate the need to conduct research with more extensive scientific data in various fields of hospice and palliative care. [ABSTRACT FROM AUTHOR]

In this paper smart shoes for dementia care using embedded boards and Low Power Wide Area technology and their application software are implemented. The communication board composed of Cortex-M3 board and LoRa module is embedded into groove made in outsole of smart shoes. Including the mold, the shoe outsole was manufactured by hand. By using application software and embedded board, caregiver can track the position of dementia patient using GPS and LoRa network. The location tracking and data transmission operations of smart shoes have been successfully verified in the outdoor environment. The smart shoes of this paper are applicable to a safety device to prevent the disappearance of demented patients through results of experiments and if bigdata is collected and analyzed by deep-learning, it may be helpful to analyze the predictive path of dementia patients or the pattern of dementia. [ABSTRACT FROM AUTHOR]

In this paper, we propose a paper-based very thin ultra-wideband(UWB) frequency selective structure to block UWB radar or broadband interfering signals. The proposed structure combines a square loop structure with low frequency blocking characteristics and a fan-wing structure with high frequency blocking characteristics to realize wideband rejection. Resistive elements were added to compensate for polarization and incident angle stability. Based on the simulation results, we fabricated conductive patterns and resistive elements on a thin paper using the screen printing technique. We measured the transmission characteristics of the fabricated frequency selective structure using the free space measurement method and found that it has a wide bandwidth of 6.9 GHz and stable performance despite the variation in polarization and incident angle [ABSTRACT FROM AUTHOR]

This study attempted to improve the quality of hairstyling-related studies and provide basic data for future studies on hairstyling terms through analysis of cosmetology-related loan words used in hairstyling theses among recent cosmetology papers. For data collection to derive valid conclusions, the signatures of a total of 1,980 academic papers collected after typing in the keyword ‘Hair’ at the Research Information Sharing Service (http://www.riss.kr) were analyzed. The results show that researchers in hairstyling seem not to pay close attention to the correct use of foreign loan words. Therefore, the study results would be very helpful to the development of future cosmetology studies. The correct notation and use of foreign loanwords should be further encouraged. [ABSTRACT FROM AUTHOR]

New-born babies who require special attention medically are admitted often to incubator. Incubators are well equipped to fulfill take care of infants, but they have to hospital and so expensive. This paper proposes a smart incubator that can solve the problem of convenience and cost aspect of these incubators. Developed incubator enables near-field monitoring using Arduino Uno as the main control device and Bluetooth communication. The environment in the incubator measures temperature and humidity using a DHT22 sensor and the sound using a P5510 microphone. If the temperature and humidity data set by the user are lower or higher than the reference value, it is designed to operate the heating pad using the controller or turn on the fan to allow air circulation. The measured values in the incubator are displayed in real time on the user's smartphone monitoring screen and are programmed using app inventor. Developed incubators can help take care of infants at low cost in the home. [ABSTRACT FROM AUTHOR]

Purpose: The objective of the study is to analyze the review contents of reviewers for the submitted papers in the Journal of Korean Academy of Nursing in 2003., Method: The review contents of the 165 papers were selected 217 papers that were submitted in 2003. Among those 165 papers, the 21 papers belonged to the 'Do not publish' list and 17 papers, 'Revise manuscript and resubmit', list and the 94 papers, 'Publish if revisions are made' list. There are more than two level differences among the four levels of decision in acceptance of publication in 33 papers., Results: The analysis of the review contents for the papers were suggested according to review categories : introduction, method, results, discussion and conclusion. In addition, if papers had more than two levels of review they were rated poor accord or inconsistent., Conclusion: For the quality of the academic journal and development of the nursing science, it is important to disseminate and publish the research paper. Therefore, review of the submitted paper is also important. Implications for the profitable review were suggested in the study.

A pattern-switchable origami antenna is designed with paper using inkjet-printing technology. The proposed antenna can be switched between loop and dipole antenna modes by folding and unfolding the paper, respectively. The proposed antenna is designed for the resonant frequencies of both modes to be 1.85 GHz. Eutectic gallium-indium liquid metal is introduced in order to avoid cracks in the conductive ink when the paper is folded. The performance of the proposed antenna is demonstrated through simulation and measurement results and antenna gain of dipole-mode and loop-mode are -4 dBi and -5 dBi, respectively. Also, the nulls of both dipole and loop modes compensate nulls from each mode. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed was done to analyze recent trends in nursing research published in the Journal of Korean Academy of Nursing by focusing on the content of nursing interventions and their level of evidence., Methods: A total of 209 studies published between 2007 and 2008 were reviewed using analysis criteria developed by the researchers., Results: The number of quantitative studies was greater than that of qualitative studies. There was a slight increase in the number of qualitative studies and studies including elderly populations, which reflects the recent population trend in Korea. More randomized controlled trials with a low risk of bias were needed to support more evidence-based nursing practice. Concerning the low rate of ethical consideration, stricter application of research ethics needs to be encouraged., Conclusion: The findings of this study suggest the recent trends in nursing research and the direction of nursing research and review in the Journal.

Purpose: The purpose of this study was to evaluate a computerized touch-screen version of the asthma-specific quality-of-life (cA-QOL) questionnaire against the conventional paper-and-pencil version (pA-QOL) for equivalence, time for completion, user preference, and ease of use., Methods: A total of 261 patients were recruited. A randomized cross-over design was used. Patients in group A completed the cA-QOL first while waiting to see a physician, and completed the pA-QOL version after seeing the physician. Patients allocated in group B completed these questionnaires in the reverse order. The patients were asked questions about user preference and ease of use of the cA-QOL. The time taken to complete both versions of the questionnaire was measured., Results: Weighted kappa coefficients of all items showed almost perfect agreement. The time required to complete the pA-QOL is faster than the time for cA-QOL. The patients who preferred the cA-QOL were 37.5%, while those who preferred the pA-QOL were 29.9%. Most patients reported that the cA-QOL was "easy" or "very easy" to complete., Conclusion: The cA-QOL is the computerized equivalent of the pA-QOL. The findings herein demonstrate that the cA-QOL can be helpful to nurses in busy practices for assessing, collecting, and evaluating their patients' health related quality of life.

Objectives: This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector., Methods: The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression., Results: Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex., Conclusions: This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.

Purpose: This study aimed to understand the knowledge structure and trends in research on cancer-related cognitive impairment (CRCI) in patients with non-central nervous system (non-CNS) cancer through text network analysis and topic modeling. Methods: From 2011 to 2021, studies on CRCI in patients with non-CNS cancer registered in databases including Ovid-MEDLINE, EMBASE, Cochrane, CINAHL, CENTRAL, and PsycInfo, were extracted and cleaned into words using Python's natural language toolkit package. Text network analysis was performed using the NetworkX library, and topic modeling analysis based on the latent Dirichlet allocation algorithm was carried out using the Gensim library. Results: In total, 24,030 keywords were extracted from the abstracts of 490 selected papers, of which "chemotherapy," "breast cancer," and "quality of life" showed high frequency and centrality. As a result of the topic modeling analysis, four subject groups were derived, including cognitive impairment due to chemotherapy, breast cancer and cognitive impairment, factors related to cognitive impairment, and symptom experience. Conclusion: These findings will help cancer researchers to understand the trends and insights of research on CRCI in patients with non-CNS cancer and suggest important areas and directions for future studies. [ABSTRACT FROM AUTHOR]

Purpose: This study was to determine the current trend of nursing research as exploring both quantitative and qualitative methodologies, and to provide the explicit direction to improve the quality of published papers., Methods: Total of 366 articles published between 2004 and 2006 was reviewed using the criteria of analysis., Results: There was more number of quantitative studies than qualitative studies. More studies were conducted with subjects who had health problems, and studies that targeted women and elderly population have been significantly increased. In quantitative methodology, utilization of experimental and quasi-experimental designs has been increased, however descriptive study was dominant as yet. In qualitative methodology, studies using grounded theory and phenomenology were frequently published. It was noted that theoretical framework and rational for sample size were rarely presented in quantitative study. Philosophical position and the process of preparation for study, which guided the research, were not clearly described in qualitative study., Conclusion: The findings of this review suggest that published studies have been improved and diversified, however, detailed and clear evaluation tool that assesses study process and method should be developed as a way to further improve the quality of published papers.

In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology. [ABSTRACT FROM AUTHOR]

This paper investigates the promotion of biomedical innovation in South Korea through support for research integrity. Using Seoul National University College of Medicine (SNUCM) as a showcase, we observe a relationship between the number publications by Korean researchers, international academic reputational metrics, and best practices in the promotion of research ethics for Korean research environments. Survey data from graduate research ethics education courses across two years suggest that enhancing domestic biomedical research integrity through institutional and governmental regulatory regimes requires additional resources and refinement in select areas. We compare publication data from relevant academic publishing sources with the rate of retraction notices for Korean research amid qualitative and quantitative growth in research output. At the university level, further educational programs on publication practices and reproducible research would support reputational goals alongside academic and applied research applications. In particular, the discussion of these statistics details how to promote reproducible biomedical research in Korean research settings. Defining narrowly biomedical integrity that focuses on research misconduct and human subject protection as a foundation of research ethics education at Seoul National University would further expose researchers to the risks imposed by publication retractions and cumulative effects on Korean academic reputational goals to support innovation. [ABSTRACT FROM AUTHOR]

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In manufacturing, it is a fatal problem to stop production due to a failure of facilities. Therefore, it is important to predict defects in facilities in advance and proactively maintain them. With the recent development of machine learning and deep learning technologies, research on predictive maintenance is also becoming active, and the performance of machine learning and deep learning technologies varies depending on the dataset. However, the existing dataset simply exists in normal and defective states, and the state between defects and normal was not simulated. Therefore, in this paper, a dataset was constructed by collecting additional attention data containing signals between normal and defective, and a simple classification experiment was conducted to verify the effectiveness of the data. Using the Prognostic dataset proposed in this paper, it is expected to be able to move toward a true predictive maintenance system that performs actions in advance, not after an accident. [ABSTRACT FROM AUTHOR]

This paper presents the design of a 4-bit switched attenuator operating in the frequency range of DC to 8 GHz band. The attenuator is fabricated using a 28-nm bulk CMOS process for verification. The designed attenuator employs switched T-type and π-type structures, with a simplified π-type circuit to reduce size for the 0.5 dB bit. Additionally, an inductor is added between the 0.5 dB bit and the 1 dB bit to improve input and output matching. Measured input and output return loss in the frequency band of DC to 8 GHz is greater than 11.45 dB, insertion loss is less than 2.69 dB, the measured RMS gain error is less than 0.64 dB, and the RMS phase error is less than 1.42°. The actual size of the attenuator, excluding the RF and DC pads, is 0.236×0.146 mm². [ABSTRACT FROM AUTHOR]

This issue of Volume 34, Issue 1 contains 5 papers, 3 original articles, 2 review articles, and 0 case report. By subject, there were 0 papers on Aerospace Medicine, 5 on Aviation Human Factors, and 0 on Aviation Nursing. The first paper investigated the effect of self-management competence on social anxiety among students in an aviation program at a college, based on a survey of 90 students. Conducted with careful consideration of student anonymity, this study found that higher self-management competence are associated with lower social anxiety. The second paper explored the introduction of a pre-safety assessment and consulting system in the aviation industry, gathering and analyzing opinions from professionals through an online survey. The third study analyzed air traffic control threats and their impact, using data collected from Line Operations Safety Audits, and presented statistically significant findings. The fourth paper focused on fatigue management strategies for shift workers in air traffic control, reviewing related domestic and international laws and regulations and emphasizing the need for effective fatigue management. Lastly, the fifth paper discussed the characteristics of low-cost carriers and their ripple effects on the air transport market, examining both positive and negative aspects. [ABSTRACT FROM AUTHOR]

Scientific papers on the history of psychiatric diagnosis presented at the 16th International Taniguchi Symposium for Comparative History of Medicine-East and West which was held in 1991 in Japan were briefly reviewed and discussions and comments interchanged in this meeting were introuduced with some personal appreciation that the meeting was excellently organized and enormously successful. Particularly, the papers of medical historians and the expert in specific area like Indian medicine from North America and Europe were highly instructive. The informal gathering in the evening had offered a fascinating original report such as an old documentary film about Imu, a Japanese culture bound syndrome. One very important point was raised in this review that the comparisons between the Medicine-East and the West, particularly the translation of the Eastern medical descriptions of mental illness into the modern Western pschiatric terms should be very cautiously carried out, because by the crude identification of one medical system with the other system the uniqueness of the illness in a specific time and in a specific place might easily be overlooked. For both Japanese and Korean traditional medicine share with Chinese traditional medicine and yet they preserve their uniqueness, a small group study for comparative East Asian medicine was suggested for the more elaborated clarification of medical terms.

Solar energy is attracting attention as an alternative to fossil fuels. However, there was a lack of discussion on the overall research direction and future direction of research in technology development. In order to develop more effective technology, we analyzed and discussed the technology trend of solar energy using patent data and thesis data. As an analysis method, topics were selected by using topic modeling and text mining, the increase of included keywords was analyzed, and the direction of development of solar technology was analyzed. Research on solar power generation technology is expected to proceed steadily, and it is analyzed that intensive research will be done especially on high efficiency and high performance technology. Future studies could be conducted by adding overseas patent data and various paper data. [ABSTRACT FROM AUTHOR]

The value of Big-Data which is a main factor of the fourth Industrial Revolution enhances industrial productivity in private sector and provides administrative services for nations and corporates in public sector. ICT-developed countries are coming up with Big-Data application in public sector rapidly. Especially, when it comes to social crisis management, they are equipped with pre-forcasting system. Korean Government also emphasizes Big-Data application in public sector for the social crisis management. But the reality where the overall infrastructure vulnerability reveals requires preparation and operation of measurement for social problems. Accordingly, we need to analyze Big-Data application problem and benchmark the precedented cases, thereby, direct policy diversity. Hence, this paper proposes the roles and rules of E-government analyzing problems from Big-Data application. The following policy proposes open Information and legal&institutional improvement, Big-Data service considerations threatening privacy issues in Big-Data ecosystem, necessity of operational and analytical technology for Big-Data and related technology in technical implication of Big-Data. [ABSTRACT FROM AUTHOR]

In this paper, we proposed a paper-based pattern-switchable antenna using inkjet-printing technology. The proposed antenna is composed of two bow-tie antennas and a switching network. The bow-tie antennas are inkjet-printed on paper using a low cost home printer. The switching network is built on a printed-circuit-board(PCB) and consists of a single-pole-double-throw(SPDT) switch and balun element. A double-sided parallel-strip line(DSPSL) can convert the unbalanced microstrip mode to the balanced strip mode. Two bow-tie antennas have different radiation patterns because of the different orientation of the reflectors. It is demonstrated from EM simulation and measurement that the radiation patterns of the proposed antenna are successfully switched by the SPDT. [ABSTRACT FROM AUTHOR]

Generative AI is impacting many areas of society and the economy. In particular, in the fashion industry, it has brought innovation in fashion design by influencing fashion trend prediction and creativity, and it plays an important role in providing customized products to consumers and improving quality through the optimization of the manufacturing process. Therefore, this paper searches Google for 'generative AI' and 'digital fashion' to investigate domestic and international business and fashion site articles since the 2020s and analyzes AI use cases in the fashion industry to study the changes in the fashion industry and suggest possible developments. The results of this paper are as follows. First, the combination of generative AI and humans in design can lead to creative outcomes. Second, generative AI can be used in the production and distribution processes to maximize efficiency. Third, it can drive sustainable fashion by minimizing resource waste through demand forecasting and logistics management. [ABSTRACT FROM AUTHOR]

This paper explores the potential benefits of integrating personal training techniques into psychotherapeutic practice as a way for therapists to build beneficial experiences with patients or clients. The author describes his actual experiences with personal training in detail, highlighting both the differences and similarities between the field of psychotherapy and personal training. In particular, the author elaborates on the experience of empathizing with the patient’s condition during psychotherapy through the emotional responses felt during personal training. The paper discusses methods for integrating the elements of personal training, such as goal setting, client-centered focus, supportive relationships, and behavioral changes, which are common to both fields, into traditional psychotherapy. Through this, the paper aims to find ways to utilize the elements of personal training in psychotherapeutic training and practice, thereby expanding psychotherapeutic techniques and discussing the practical implications of enhancing therapeutic effectiveness. [ABSTRACT FROM AUTHOR]

LoRa (Low Range) is one of LPWA (Low-Power Wide Area) networks and is used in various IoT (Internet of Things) services. In LoRa networks, as the number of devices or transmission time increases, the probability of collision increases rapidly and throughput decreases significantly. In LoRa, various SF (Spreading Factor) allocation techniques have been studied to solve the problem of throughput reduction due to inter-packet interference and collisions. In this paper, we propose an SF allocation method that distributes traffic load for a multi-service environment with different traffic characteristics. The proposed SF allocation method was able to increase the packet transmission success rate by maximizing the capture effect and lowering the packet collision probability. [ABSTRACT FROM AUTHOR]

This paper designed a program for automatic string input in the Windows operating system used in many computers. Programs designed in a Windows environment automate input tasks such as user strings (passwords) to help process them efficiently. This design is performed in a Windows operating system environment. The Windows operating system uses the mouse hooking function to detect a string (password) input window and provides a function to automatically enter a preset string (password). A function is designed to automatically input strings into specific string input windows that require repeated input in a Windows environment. In addition, the OK button is automatically clicked after entering a string to complete the input task. An experiment was conducted on the function proposed in this paper by constructing a program environment in an actual Windows operating system. As a result of the experiment, it was confirmed that the automatic string input function operates normally. [ABSTRACT FROM AUTHOR]

Analyzing the flow of crowd counting can be used for public policy, corporate strategy, and commercial district analysis. Existing devices are installed on poles, buildings, etc. to detect WiFi signals from personal devices. However, these devices are often not located adjacent to actual sidewalks, do not provide power at all times, or have limitations in collecting personal terminal identification information, especially due to restrictions under the strengthened Personal Information Protection Act. This paper designs a WiFi scanner to accurately collect WiFi. We also conduct research on a repeater that transmits smartphone MAC information to a cloud server that does not violate the Personal Information Protection Act. In addition, it solves the power problem of existing communication transmitters with a self-generating system using solar power and piezoelectric power generation. The results of this paper will be used in commercial analysis, corporate strategy, and public policy, and will contribute to the development of wireless communication and artificial intelligence technology. [ABSTRACT FROM AUTHOR]

This paper proposes a novel reinforcement learning-based power allocation scheme, a unique approach to support QoS in MIMO systems. In MIMO systems, efficient power allocation is critical to mitigate inter-device interference and improve energy efficiency. Given the dynamic nature of the wireless channel environment and the potential changes in QoS levels, a dynamic channel allocation scheme that can satify the QoS with minimum power consumption is essential. Our proposed scheme, which allocates power to each antenna based on reinforcement learning, stands out for its ability to reduce unnecessary search range by varying the reward value according to the channel environment and QoS satisfaction estimated by pilot signals. Simulations further validate the feasibility and superiority of our innovative scheme. [ABSTRACT FROM AUTHOR]

Recently, many document images are acquired from mobile devices such as smartphones rather than flatbed scanners. Document images captured with mobile devices may involve various distortions such as perspective distortion and distortions caused by the curvature of the paper. The process of removing such distortions is called the document image dewarping process. In this paper, we propose a document image dewarping method based on 3D reconstruction and text boundary rectification. The proposed dewarping method utilizes document boundaries to apply to document images, including non-textual elements such as graphics, tables, and musical scores. Additionally, by leveraging 3D reconstruction, we can effectively correct distortions caused by the curvature of the document surface. Furthermore, by complementing text boundaries, we aim to increase accuracy and we confirm that this technique can also be independently applied to document boundaries, resulting in a dewarping method with high accuracy. [ABSTRACT FROM AUTHOR]

Recently, virtual reality widely used in education, industry, and entertainment, and so on. In this paper, we present effects on sensory transfer, which is a fake feeling such as illusion to make the specific sense in five senses with other senses for participants in immersive virtual environments (IVE). In particular, we perform an analysis of the effect through interactive virtual reality contents based on hearing and touch. As our result of the experiment, it was found that the sense of touch using hearing could be sufficiently provided, and on the contrary, transfer feeling of the sense of touch had a few limitations. Through our method presented in this paper, it is expected that the limitations of the device to make immersive virtual reality contents can be overcome. [ABSTRACT FROM AUTHOR]

The 2020 NeRF paper sparked neural volume rendering research, ongoing to surpass its limits. However, 3D model generation studies are still incomplete. This paper aims to capture research that addresses 3D model generation shortcomings for objects and scenes. The utilization of NeRF for 3D model generation involves continued research in individual 3D object creation, 3D object editing and manipulation, as well as the integration of IR sensors, and this paper summarizes these aspects. While achieving intricate surface reproduction remains challenging, advancements in the field continue due to the expansion of graphics research related to NeRF. It is necessary to examine these developments. Although this paper doesn't cover all studies related to NeRF 3D model generation, it is expected to be useful for researchers engaged in relevant studies. [ABSTRACT FROM AUTHOR]

This paper focuses on the important topic of spelling error correction in the field of natural language processing. The research experimentally explores spelling error correction methods using the Generative Pre-trained Transformer (GPT) model. Specifically, it aims to improve the performance of spelling error correction by employing supervised fine-tuning methodologies applied in the GPT-1 and InstructGPT models. The supervised fine-tuning in this paper utilizes direct human feedback to improve the model's performance. It also introduces various learning prompt strategies to further enhance the performance of the spelling error correction model. These strategies, which utilize bidirectional context information for training, showed significant improvement in F1 scores compared to the baseline GPT-2 model, achieving higher performance than previous research results. This study demonstrates the effectiveness of employing GPT models for spelling error correction, as well as the methodologies of supervised fine-tuning and learning prompt strategies. These findings present the potential to advance research in this field. [ABSTRACT FROM AUTHOR]

This paper presents a signal generation architecture for simulating arbitrarily intercepted low-probability-of-intercept (LPI) signals in a battlefield environment. Additionally, the performances of deep learning models in classifying the generated signals are compared in terms of the classification time, GPU memory usage, and accuracy. Previous studies have utilized ensemble learning to minimize signal classification time and enhance accuracy; however, an explicit criteria for the adoption of deep learning models have been lacking. This paper presents the analysis of the performances of 11 deep learning models on the basis of simulation results and proposes an ensemble model that utilizes MobileNet V3 Small as the main model and Densenet-169 as the sub-model. [ABSTRACT FROM AUTHOR]