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Biomass estimation of fish in Samcheok marine ranching area (MRA) of Korea using the scientific echosounder (과학어군탐지기를 이용한 삼척 바다목장 해역의 어류 자원량 추정)

  • Jungkwan LEE;Geunchang PARK;Sunyoung OH;Sara LEE;Wooseok OH;Doo Jin HWANG;Kyounghoon LEE
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.59 no.3
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    • pp.242-252
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    • 2023
  • In this study, we aimed to determine the seasonal distribution and biomass of fish in Samcheok marine ranching area (MRA) of Republic of Korea using the scientific echosounder. Fish trap and gillnets were used to identify fish species in the survey area, and dB-difference method was used to estimation the spatio-temporal distribution and density of fish. The results showed that the dominant species in Samcheok marine ranching area were Chelidonichthys spinosus, Sebastes inermis, Hexagrammos otakii and Tribolodon hakonensis. The spatio-temporal distribution of fish showed that fish had a relatively higher distribution at night than during the day. In addition, the density of fish by season was highest at night in July at 34.22 g/m2 and lowest in April at 0.42 g/m2.

Histological study on the skin structure in two mudskippers, Periophthalmus waltoni and Boleophthalmus dussumieri in relation to their terrestrial life

  • Mehran Dorostghoal;Ashraf Jazayeri;Sara Ashiri
    • Applied Microscopy
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    • v.52
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    • pp.13.1-13.6
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    • 2022
  • Microscopic structure of skin in two amphibious mudskipper fish; Boleophthalmus dussumieri Valenciennes, 1837 (B. dussumeri) and Periophthalmus waltoni Koumans, 1941 (P. waltoni) were investigated in relation to their lifestyle. The general structure of skin is the same among the two species. Epidermis in B. dussumeri was thicker significantly than P. waltoni. The dermal bulges were only well developed in the skin of B. dussumeri. Mucous cells were absent in the epidermis of P. waltoni but present in B. dussumeri. Both B. dussumeri and P. waltoni have well-developed swollen middle cells as a shared epidermal feature. The thickness of the middle cell layer of the epidermis in B. dussumeri was significantly greater than in P. waltoni. Capillaries in the dorsal and ventral parts of the body are more closely distributed to the epidermal surface in P. waltoni than in B. dussumeri. The diffusion distance in the dorsal epidermis of P. waltoni was less than that in the ventral epidermis of B. dussumeri. A comparative examination of the skin of mudskipper species suggests that, due to the more terrestrial lifestyle adopted by P. waltoni, the skin contributes more to respiration.

Genomic epidemiology and surveillance of zoonotic viruses using targeted next-generation sequencing (표적화 차세대염기서열분석법을 이용한 인수공통 바이러스의 유전체 역학과 예찰)

  • Seonghyeon Lee;Seung-Hwan Baek;Shivani Rajoriya;Sara Puspareni;Won-Keun Kim
    • Korean Journal of Veterinary Service
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    • v.46 no.1
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    • pp.93-106
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    • 2023
  • Emerging and re-emerging zoonotic viruses become critical public health, economic, societal, and cultural burdens. The Coronavirus disease-19 (COVID-19) pandemic reveals needs for effective preparedness and responsiveness against the emergence of variants and the next virus outbreak. The targeted next-generation sequencing (NGS) significantly contributes to the acquisition of viral genome sequences directly from clinical specimens. Using this advanced NGS technology, the genomic epidemiology and surveillance play a critical role in identifying of infectious source and origin, tracking of transmission chains and virus evolution, and characterizing the virulence and developing of vaccines during the outbreak. In this review, we highlight the platforms and preparation of targeted NGS for the viral genomics. We also demonstrate the application of this strategy to take advantage of the responsiveness and prevention of emerging zoonotic viruses. This article provides broad and deep insights into the preparedness and responsiveness for the next zoonotic virus outbreak.

Proposing new models to predict pile set-up in cohesive soils

  • Sara Banaei Moghadam;Mohammadreza Khanmohammadi
    • Geomechanics and Engineering
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    • v.33 no.3
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    • pp.231-242
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    • 2023
  • This paper represents a comparative study in which Gene Expression Programming (GEP), Group Method of Data Handling (GMDH), and multiple linear regressions (MLR) were utilized to derive new equations for the prediction of time-dependent bearing capacity of pile foundations driven in cohesive soil, technically called pile set-up. This term means that many piles which are installed in cohesive soil experience a noticeable increase in bearing capacity after a specific time. Results of researches indicate that side resistance encounters more increase than toe resistance. The main reason leading to pile setup in saturated soil has been found to be the dissipation of excess pore water pressure generated in the process of pile installation, while in unsaturated conditions aging is the major justification. In this study, a comprehensive dataset containing information about 169 test piles was obtained from literature reviews used to develop the models. to prepare the data for further developments using intelligent algorithms, Data mining techniques were performed as a fundamental stage of the study. To verify the models, the data were randomly divided into training and testing datasets. The most striking difference between this study and the previous researches is that the dataset used in this study includes different piles driven in soil with varied geotechnical characterization; therefore, the proposed equations are more generalizable. According to the evaluation criteria, GEP was found to be the most effective method to predict set-up among the other approaches developed earlier for the pertinent research.

Spillovers of Education and Job Training in Bringing Sustainable Economic Development in Pakistan: The Role of Research and Development Revisited

  • AMIN, Sara;LIAQAT, Malka;SAFDAR, Noreen;IQBAL, Sidra
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.11-18
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    • 2022
  • Current research intended to measure the spillovers of education and on-the-job training to enhance sustainable economic development. Consideration of research and development expenditures for on-the-job training expands the impact of education and, thus, may provide spillovers for Pakistan's economic growth. The primary focus of this research is to look at the combined impact of education and research and development spending as value-added variables for sustainable growth. The econometric study uses data from a variety of sources, including the Pakistan Bureau of Statistics, the Pakistan Economic Survey, and world development indices. The secondary annual time series data from 1976 to 2019 are analyzed. To adequately estimate the empirical model, ARDL has been used while the presence of the unit root has been tested using the ADF test. The findings show that education, research, and development all contribute to all-inclusive, sustainable economic growth. Labor and capital, among other traditional components, continue to be the backbone of the development process. Still, the spillover effect is much enhanced with the expansion in education and the on-job training in the form of research and development expenditures. Consequently, the introduction of research and development in education will lead to a sustainable and inclusive economy.

Monitoring People's Emotions and Symptoms after COVID-19 Vaccine

  • Najwa N. Alshahrani;Sara N. Abduljaleel;Ghidaa A. Alnefaiy;Hanan S. Alshanbari
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.202-206
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    • 2023
  • Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

Comparison of the effect of fish gathering and spatio-temporal distribution of the largehead hairtail (Trichiurus leptueus) using induction and metal halide fishing-lamp (인덕션·메탈할라이드 집어등에 의한 갈치(Trichiurus leptueus)의 유집 효과 비교와 시공간 분포)

  • Geunchang, PARK;Seong-Wook, PARK;Si-Yeol, NOH;Wooseok, OH;Sunyoung, OH;Sara, LEE;Kyounghoon, LEE
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.58 no.4
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    • pp.334-344
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    • 2022
  • In this study, we used underwater acoustics to analyze the spatial and temporal distribution characteristics of largehead hairtail (Trichiurus leptueus) based on the luminous thronging of metal halide fishing lamps and induction fishing lamps. As a result, the illuminating power was approximately 1.3 times higher using the metal halide fishing lamp whereas the density of hairtals by distance was approximately 1.9 times higher using the induction fishing lamp. Regarding water depth distribution, hairtails were detected depths of 25-30 m during August and at all water depths in November as assessed using fishing lamps.

Target strength of juvenile Antarctic silverfish (Pleuragramma antarcticum) (남극 은암치(Pleuragramma antarcticum) 치어의 음향산란특성)

  • Sara, LEE;Wooseok, OH;Hyoung Sul, LA;Wuju, SON;Jeong-Hoon, KIM;Kyounghoon, LEE
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.58 no.4
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    • pp.345-351
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    • 2022
  • In this study, the target strength for multi-frequency (38 kHz, 120 kHz, 200 kHz) of juvenile silverfish (Pleuragramma antarcticum) was estimated using by the KRM (Kirchhoff-ray mode) model. The body shape of the silverfish was described by a picture and the body length of nine individuals ranged in 1.8 cm to 8.8 cm. The maximum TScm according to the total length for the constant term (b20) was -92.93 dB at 38 kHz, -86.63 dB at 120 kHz, and -85.89 dB at 200 kHz, respectively. The averaged TScm according to total length for the constant term (b20) was -100.0 dB at 38 kHz, -93.0 dB at 120 kHz, and -106.9 dB at 200 kHz, respectively.

Pathogenesis of Oncoviruses: A Systemic Review

  • Zain Ul Abedien;Kainat Gul;Sara Khan;Maheen Shafiq;Khizar Rahman;Muhammad Hassan Nawaz
    • Microbiology and Biotechnology Letters
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    • v.51 no.2
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    • pp.135-146
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    • 2023
  • Viral oncology is focused on understanding the relationship between cancer and viruses, which are known to play a role in the development of certain types of cancer. Approximately 15-20% of human cancers are believed to be caused by oncogenic viruses, and as a result, there is significant interest in understanding how these viruses contribute to cancer development. There are several viruses that have been linked to cancer, including human papillomavirus, hepatitis B and C virus, Epstein-Barr virus, human T-cell lymphotropic virus type 1, Kaposi's sarcoma-associated herpesvirus, and Merkel cell polyomavirus. Each of these viruses is associated with different types of cancer, and the mechanisms by which they contribute to cancer development are diverse. This article discusses these mechanisms as well as current and future strategies for preventing and treating virus-associated cancers with the goal of presenting a thorough review of the current state of knowledge in viral oncology and to highlight the importance of continued research in this field.

Evaluating the Competitiveness of Cargo Airports using Best-Worst Method

  • Sara Shishani;Young-Joon Seo;Seok-Joon Hwang;Young-Ran Shin;A-Rom Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.204-206
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    • 2022
  • The global economy and the air transport business have been affected since the spread of the COVID-19 pandemic. As countries tighten restrictions on international movements, the growing emphasis on air cargo puts pressure on airports to maintain and upgrade their cargo policies, facilities, and operations. Hence, ensuring the competitiveness of cargo airports becomes pivotal for airports survival under the volatile global demand. The study aims to evaluate the importance of the competitiveness factors for cargo airports and identify areas for further improvement. The study applies the Best-Worst Method (BWM) to assess the cargo airports' competitiveness factors: 'Transport Capacity,' 'Airport Operations and Facility Capacity,' 'Economic Growth,' 'Financial Performance,' and 'Airport Brand Value.' The selected airports include Heathrow Airport, Aéroport de Paris-Charles de Gaulle, Hong Kong International Airport, and Incheon International Airport. The results identify 'Transport Capacity' as the most significant competitiveness factor, and Hong Kong International Airport the best performing cargo airport. This research forms a reference framework for evaluating cargo airports' competitive position, which may help identify airports' relative strengths and weaknesses. Moreover, this framework can also serve as a tool facilitating the strategic design of airports that may accommodate both air cargo and passenger demand flexibly under the demand uncertainty.

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