Korea Environmental Industry and Technology Institute

The mitogenome is an important tool in taxonomic and evolutionary studies. Only a few complete mitogenomes have been reported for red algae. Herein, we reported the complete mitochondrial genome sequence of Fushitsunagia catenata (Harvey) Filloramo, G.V. and Saunders, G.W. 2016, a monospecific genus. The genome was 25,889 bp in circumference and had a strongly biased AT of 70.4%. It consisted of 2 rRNAs, 23 tRNAs, and 24 protein-coding genes (PCGs). nad5 (1986 bp) was the largest and atp9 (231 bp) was the smallest PCG. All PCGs used ATG as an initiation codon and TAA as a termination codon, except TAG, which was the termination codon used in the sdh3, rps3, and rps11 genes. The general structure and gene content of the present findings were almost identical to those of other red algae genomes, particularly those of the Rhodymeniales order. The maximum likelihood analysis showed that F. catenata was closely related to Rhodymenia pseudopalmata. The mitochondrial genome data presented in this study will enhance our understanding of evolution in Rhodophyta species.

Abstract The meteorological impacts of intertidal land cover variation during summer and winter were simulated using the weather research and forecasting (WRF) meteorological model through two experiments: a TIDE experiment with time‐varying land cover by tidal effects in the intertidal zone using a new modeling method used hourly surface boundary conditions obtained using ocean model and satellite data, and a CNTL experiment with fixed land cover in the intertidal zone using a typical WRF modeling method used to fix the surface boundary conditions. The results of the TIDE experiment were more consistent with the recorded observations, especially during high tides. During summer daytime, the sensible heat flux (SHF) became negative (downward exchanging process) in the intertidal zone due to a low sea surface temperature, which decreased the temperature and increased the water vapor mixing ratio in the intertidal zone and inland areas. The wind speeds in intertidal zones and inland areas increased due to strong sea winds at altitudes from 80 m to 1.5 km, thereby increasing the sea breeze intensity and resulting in meteorological changes in inland areas. During winter, land cover changes in the intertidal zone impacted fog formation. During nighttime high tides, the SHF became positive in the intertidal zone and the latent heat flux increased prior to fog formation. During flood tide, the relative humidity increased and wind speed decreased in the intertidal zone and coastal areas coincident with fog occurrence. Overall, meteorological changes due to tidal effects were more pronounced in the summer.

Recent global climate change often leads to poleward expansions of habitat range of marine organisms in response to increasing water temperature at high latitude. This study investigated latitudinal distribution patterns of Turbo sazae from 2009 to 2018 along the southern and eastern coasts of Korea to verify whether gradual increases in seawater temperature in the East Sea/Sea of Japan (hereafter East/Japan Sea) accelerate changes in the geographic distribution of T. sazae. Between 2009 and 2018, underwater SCUBA surveys were conducted at 19 subtidal rocky shore habitats from the southern and eastern coast of the Korean Peninsula, including Jeju Island. Additionally, long-term seawater temperature records over the last 40 years (between 1980s and 2010s) from the East/Japan Sea were analyzed to verify how changes of water temperature corresponded to geographical distributions of T. sazae. The habitat range of T. sazae was found to have extended from latitude 34°02′ N to latitude 37°06′ N from 2009 to 2018. Although seawater temperature has gradually increased since the 1990s in the East/Japan Sea, habitat expansion was particularly evident during the rapid rise of coastal seawater temperature in the 2010s. Because the strong northward expansion of the Tsushima Current can accelerate the rise of seawater temperature in the East/Japan Sea, studies of the effects of climate change on marine ecosystems of the Korean Peninsula should include data from monitoring the dynamics of the Tsushima Current.

In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low; moreover, there are various concerns regarding the safety and reliability of AI technology implementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved.