경북 안동의 진걸맘농장은 딸기와 쪽 농사를 주로 하고 있으며 10년 이상 친환경 무농약 농법을 인증받은 농가로서 천적을 활용하여 토경 1,000평 규모의 시설 하우스에 딸기 재배를 하고 있다. 2018-2020에 경북농민사관학교 친환경 천적과정을 통하여 천적의 자가생산 기술을 배우고 2021년부터 농가에서 직접 자가생산을 시작하였다. 그래서, 진걸맘농가는 칠레이리응애를 자가사육하여 지속적으로 딸기 재배지에 처리함으로서 점박이응애 방제에 성공한 농업인으로서 국내 첫 사례로 꼽힌다. 또한, 2022년 안동시농업기술센터에서 안전농산물 생산을 위한 천적 배양시 스템 보급 시범 사업에 선정되어 딸기 해충의 생물적 방제를 위한 뿌리이리응애, 칠레이리응애, 보리뱅커플랜트 등의 천적 배양시설 완공, 천적의 자가생산 및 성공적인 현장적용 기술로서 농산물의 지역특화, 브랜드화를 통한 농산물 가격 차별화에 크기 기여하였으며 국내 천적농업의 발전을 위해 앞장서고 있는 선도농가로 인정받고 있다.

경북대학교 친환경농업연구센터에서는 농업인들의 효과적인 천적 활용을 증진시키기 위하여 2016년부터 경상북도 농민사관학교의 지원을 받아서 친환경천적 교육과정을 개설하고 천적 자가생산 및 현장적용 기술의 실습교육을 실시하였다. 그동안 토양 포식성 천적인 총채가시응애(Gaeolaelaps aculeifer)와 뿌리이리응애 (Stratiolaelaps scimitus), 그리고 점박이응애의 포식성 천적인 칠레이리응애(Phytoseiulus persimilis)와 사막 이리응애(Neoseiulus californicus)의 간편하고 경제적인 대량생산기술을 개발하고 그 기술을 약 180명의 농업 인에게 전수하였다. 즉, 농업인들이 스스로 천적을 자가생산하여 시설재배지에 적용함으로서 비용절감 및 청정 농산물 생산 효과를 높히는데 기여했다. 또한, 간편한 천적생산기술을 전국적으로 농업기술원, 농업기술센터, 그리고 친환경농업인단체 등 20여개 기관에 전수하였다. 최근, 경북의 농업기술센터(안동, 고령, 경주)에서 농업 인을 대상으로 천적 대량생산 시스템 보급 시범 사업을 실시하면서 뿌리이리응애 및 칠레이리응애 등의 천적 자가생산시설을 구축하고 자체적으로 생산함으로서 지속적인 천적 활용이 가능하게 되고 해충 방제 효과를 증가시킬 수 있었다. 즉, 농업인들이 직접 천적을 생산하고 활용하게 함으로서 천적농업의 성공사례가 증가하였 을 뿐만 아니라 국내 천적 공급 시스템이 다양화되어 천적농업의 활성화에 크게 기여한다고 판단한다.

With the development of social media, most people will use social media to watch the videos of digital influencers to get spiritual comfort, and they will think that digital influencers are like friends who are connected with their own lives. However, most of the previous studies focused on the influence of digital influencers on followers’ behavioral intentions (e.g. loyalty, and purchase intention). They rarely discussed the online social well-being obtained by followers after watching digital influencers' posts. Therefore, this study integrates the attributes of followers (loneliness, low self-esteem, empathy) and the characteristics of digital influencers (social attractiveness, expertise, homophily) to explore the influence of the parasocial interaction established between digital influencers and followers on followers’ online social well-being. This study uses the Internet to collect questionnaires and takes users who have watched digital influencers' posts on social media as the research object. A total of 597 valid questionnaires are collected. The research results show that: the characteristics of digital influencers (social attractiveness, expertise, and homophily), and followers' attributes (low self-esteem and empathy) have positively affected parasocial interaction. It is noteworthy that loneliness has no significant effect on parasocial interaction.

It is difficult to distinguish the pure signal produced by an orbiting planetary companion around giant stars from other possible sources, such as stellar spots, pulsations, or certain activities. Since 2003, we have obtained radial (RV) data from evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the binary star HD 135438. We found two significant periods: 494.98 d with eccentricity of 0.23 and 8494.1 d with eccentricity of 0.83. Considering orbital stability, it is impossible to have two companions in such close orbits with high eccentricity. To determine the nature of the changes in the RV variability, we analyzed indicators of stellar spot and stellar chromospheric activity to find that there are no signals related to the significant period of 494.98 d. However, we calculated the upper limits of rotation period of the rotational velocity and found this to be 478–536 d. One possible interpretation is that this may be closely related to the rotational modulation of an orbital inclination at 67–90 degrees. The other signal corresponding to the period of 8494.1 d is probably associated with a stellar companion orbiting the giant star. A Markov Chain Monte Carlo (MCMC) simulation considering a single companion indicates that HD 135438 system hosts a stellar companion with 0.57+0.017 −0.017 M⊙ with an orbital period of 8498 d.

This paper is written as a follow-up observations to reinterpret the radial velocity (RV) of HD 36384, where the existence of planetary systems is known to be ambiguous. In giants, it is, in general, difficult to distinguish the signals of planetary companions from those of stellar activities. Thus, known exoplanetary giant hosts are relatively rare. We, for many years, have obtained RV data in evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the M giant HD 36384. We have found two significant periods of 586 d and 490 d. Considering the orbital stability, it is impossible to have two planets at so close orbits. To determine the nature of the RV variability variations, we analyze the HIPPARCOS photometric data, some indicators of stellar activities, and line profiles. A significant period of 580 d was revealed in the HIPPARCOS photometry. H𝛼 EW variations also show a meaningful period of 582 d. Thus, the period of 586 d may be closely related to the rotational modulations and/or stellar pulsations. On the other hand, the other significant period of 490 d is interpreted as the result of the orbiting companion. Our orbital fit suggests that the companion was a planetary mass of 6.6 𝑀J and is located at 1.3 AU from the host.

VR 및 AR은 대중들이 접근하기 어려운 기술이 아닌, 개인용 스마트 폰 하나로 체험 및 활용 할 수 있는 시 대가 되었다. 최근 이런 개인용 스마트 폰의 다양한 센서를 활용한 AR 콘텐츠가 개발되고 서비스 되고 있다. AR 콘텐츠의 수요가 커지면서Software교육의 수요도 커지게 되었다. 하지만, 비전공자들도 배우기 쉬운 Python 언어를 중심으로 SW 교육이 활발해졌음에도, 아직까지 AR 콘텐츠 개발에서는 Python을 적극적으로 사용할 수 없다. AR 콘텐츠는 기술 분야 뿐 아니라 인터렉티브 아트 분야에서도 활발하게 사용되고 있다. 최근 인터 렉티브 아티스트들은 Python을 이용하여 인공지능을 활용한 작품을 개발 및 전시하고 있다. Python을 통한 SW 교육은 SW 분야의 취업에만 필요한 것이 아니라 아트 분야에서도 필요한 교육이 되었다. 본 논문에서는 AR 콘텐츠 개발 교육을 위한 Python과 Unity 3D Engine을 이용한 네트워크 기반 AR 프레임 워크를 제안한다. 제 안한 AR 프레임 워크는 Web 기반 브라우저에서 개인용 스마트 폰의 카메라에 접근하여 카메라 정보를 Main Server에 전송하고 Python에서 Mark를 분석한다. Mark 정보에 맞춰 Unity 3D Engine에서 3D 오브젝트를 렌더 링하고, 카메라 정보화 합성 후, MJPEG 스트리밍으로 개인용 스마트 폰 화면에 렌더링 된다. 본 논문에서 제 안한 AR 프레임 워크는 SW 교육 플랫폼과 비대면 교육 플랫폼의 요구사항을 반영하며, 인터렉티브 아티스트 들의 다양한 도전에 필요한 기술적 제한을 낮춰 줄 것으로 기대한다.

Graphene oxide/Iron III oxide (GO: Fe2O3) nanocomposites (NCs) have been topical in recent times owing to the enhanced properties they exhibit. GO acting as a graphene derivative has demonstrated superior features as obtainable in a graphene sheet. Furthermore, the attachment of oxygen functional groups at its basal and edge planes of graphene has allowed for easy metal/oxide functionalization for improved properties harvesting. Fe2O3 nanoparticles (NPs) on the other hand have polymorphic property enabling the degeneracy of Fe2O3 in different phases, thereby resulting in different physical and crystalline properties when used to functionalize GO. The properties of GO: Fe2O3 have been applied to supercapacitor energy harvesting, Li-ion batteries, and biomedicine. The enhanced properties are attributed to the adsorption and electronic structure properties of Fe atoms. In this review, the various synthesis used in the preparation of reduced/graphene oxide: Fe2O3 is discussed. As indicated in the considered literature, the XPS analysis suggests electronic bond interactions between C–C, C–O, C–Fe and Fe–C. The available report on UPS measurements further suggests the formation of mixed states emanating from  and  bonds. The discussed reports further suggest that the various applications based on the harvesting of electronic, electrical, and magnetic properties are due to the ionic and exchange interactions between the different orbital states of carbon, oxygen and iron. The challenges and future prospects of the synthesis and application of GO/Fe2O3 are examined. Graphical abstract showing the process of exfoliation, reduction and functionalization of graphite to produce reduced graphene oxide (rGO).

Radioactive waste can be classified according to the concentration level for radionuclides, and the disposal method is different through the level. Gamma analysis is inevitably performed to determine the concentration of radioactive waste, and when a large amount of radioactive waste is generated, such as decommissioning nuclear facilities, it takes a lot of time to analyze samples. The performance of a lot of analysis can cause human errors and workload. In general, gamma analysis is performed using by HPGe detector. Recently, for convenience of analysis, commercial automatic sample changers applicable to the HPGe detectors were developed. The automatic sample changers generate individual analysis reports for each sample. In this study, gamma analysis procedure was improved using the application of the automatic sample changer and the automated data parsing using by Python. The application of automatic sample changers and data parsing technique can solve the problems. The human errors were reduced to 0% compared to the previous method by improving the gamma analysis procedure, and working time were also dramatically reduced. This automation of analysis procedure will contribute to reducing the burden of analysis work and reducing human errors through various improvements.

Uranium inventory in Boeun aquifer is facing the artificial reservoir that intended for supplying water to nearby cities (40-70 m apart) where, toxic radionuclides might mobile and enter the reservoir. In order to understand U mobility in the system, groundwater and fracture filling materials (FFMs) were analyzed for microbial signatures, C, O, Fe, S and U-series isotopes. The δ18O-H2O and 14C signatures suggested groundwater was originated from upland recharges dominantly and not affected by mixing with the surface water. However, the 234U/238U activity ratios (ARs) and 230Th/234U ARs in FFMs ranged from 0.93 to 1.67 and from 0.22 to 1.97, respectively, indicating that U was mobile along the fractures. In shallow FFMs, the U accumulations (~157 mg/kg) were found with Fe enrichments (~226798 mg/kg) and anomalies of δ56Fe and δ57Fe, implied U mobility in shallow depths was associated with Fe-rich environment. Also, in the shallow depths, Fe-oxidizers, Gallionella was prevailing in groundwater while Acidovorax was abundant near U ore depth. The Fe-rich environment in shallow depths was formed by pyrite dissolution, demonstrated using δ34S-SO4 and δ18O-SO4 distribution. Conclusively, the Fe-rich aquifer was capable of immobilizing the dissolved U through biotic and abiotic processes, without significant discharge into the nearby reservoir.