We conducted an epidemiologic study to understand temporal and spatial patterns of hemorrhagic fever with renal syndrome (HFRS) in the Republic of Korea (ROK). We estimated the incidence among civilians in endemic areas through the active surveillance system during the major epidemic periods, from September to December, between 1996 and 1998. We also estimated the prevalence among Korean milita...

statement of problem: resin composites are a common type of tooth coloured restorative materials. these materials are brittle and their major shortcomings are sensitivity to flaws and defects, low tensile strength, and susceptibility to catastrophic failure.the role of home bleaching agents on the fracture toughness of resin composites using four-point bending test is scanty. objectives: to com...

Sialic acids comprise a varied group of nine-carbon amino sugars that are widely distributed among mammals and higher metazoans. Some human commensals and bacterial pathogens can scavenge sialic acids from their environment and degrade them for use as a carbon and nitrogen source. The enzyme N-acetylmannosamine kinase (NanK; EC 2.7.1.60) belongs to the transcriptional repressors, uncharacterize...

Penelitian ini bertujuan untuk mengetahui penilaian media pembelajaran berupa e-modul pada materi pola draping rok berbasis sigil software yang ditinjau berdasarkan aspek dan karakteristik e-modul. Metode digunakan penelitian adalah metode kuantitaif pre-eksperimental dengan desain one-shot case study. dimulai dari tahap persiapan hingga pembuatan kesimpulan terhadap telah dilakukan uji kelayak...

Encounters with ticks harboring pathogenic agents have demonstrated increasing public health implications. Tick surveillance in the Republic of Korea (ROK) is essential for determining tick distributions and potential regions where tick-borne pathogens may be found. Extensive collections (tick drags flagging) were previously performed by Force Health Protection & Preventive Medicine (FHP&PM), M...

A Robust Markov Decision Process (RMDP) is a sequential decision making model that accounts for uncertainty in the parameters of dynamic systems. This uncertainty introduces difficulties in learning an optimal policy, especially for environments with large state spaces. We propose two algorithms, RTD-DQN and Deep-RoK, for solving large-scale RMDPs using nonlinear approximation schemes such as d...