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고재호 ( Jae Ho Ko ),노정관 ( Jeong Kwan Roh ) 한국목재공학회 2015 목재공학 Vol.43 No.4
폐기물의 재활용을 도모하기 위해 음식점이나 정육점에서 폐기되는 뼈(골분)를 합판용 접착제의 충전제로서 이용 가능성을 검토하였다. 현재 업계에서 합판의 제조에 사용되고 있는 3종의 접착제(UMF, UF 및 PF수지)에 대해 3종의 골분(소골분, 돼지골분 및 조개골분)을 첨가하여 제조한 라티에타파인 합판의 접착성능을 기존의 소맥분과 비교하였다. 3수지에서 모두 소맥분을 전부 소골분, 돼지골분 및 조개골분으로 각각 대체한 합판의 접착성능은 상태나 습윤 강도 및 목파율 모두 소맥분 첨가 합판보다 낮았다. 따라서 소맥분을 전혀 첨가하지 않고 골분으로 모두 대체하는 것은 곤란하였다. 그러나, 소맥분의 절반을 소골분과 돼지골분으로 각각 대체하여 제조한 합판의 성능은 소맥분을 사용한 합판과 거의 동등하거나 오히려 우수한 내수성능을 발휘하여 소맥분과 병용해서 사용하면 충분히 이용이 가능할 것으로 생각된다. 소맥분과 병용한 경우, 3종의 골분 중에는 조개골분을 첨가하여 제조한 합판 보다는 소골분과 돼지골분을 첨가한 합판의 성능이 우수하였으며, 소골분과 돼지골분 간에는 큰 차이가 없었다. To reuse the waste bone from restaurants or butcher houses, the possibility of using waste bone powder after cooking as a filler for wood adhesives used in manufacturing plywood was investigated. Radiata pine (Pinus radiata D.Don) plywoods were manufactured by using commonly used wood adhesives such as urea-melamine formaldehyde (UMF) resin, urea-formaldehyde (UF) resin, and phenol-formaldehyde (PF) resin and the prepared fillers from cattle bone powder, pig bone powder, and seashell powder. Plywood fabricated by using cattle bone powder, pig bone powder, and seashell powder showed weaker performance in dry and wet glue-joint shear strength and wood failure than those of the plywood with wheat flour. The result showed that it was hard to use only bone powder for the replacement of wheat flour. However, the filler mixed with wheat flour and bone powders showed equivalent dry bonding strength and better water resistance than the wheat flour, indicating that bone powders mixed with wheat flour might be used for the manufacture of plywood. When bone powders were mixed with wheat flour as adhesive fillers the shell powder showed the lowest bonding properties and there was no big difference between the cattle bone powder and the pig bone powder.
췌장암 조기진단을 위한 조건부 확률 기반 지능형 진단 방식
장익규,정준호,고재호,문현석,조영호,JANG, IK GYU,JUNG, JOONHO,KO, JAE HO,MOON, HYUN SEOK,JO, YUNG HO 대한의용생체공학회 2017 의공학회지 Vol.38 No.5
Early diagnosis of pancreatic cancer had been considered one of the important barrier for successful therapy since the five year survival rate after treatment of pancreatic cancer was critically low. Nonetheless, patients often miss the golden time of treatment because they rarely visit the hospital until their symptoms are severe. To overcome these problems, a lot of information about the patient's symptoms should be applied as biomarkers for early diagnosis. For this reason, a biomarker for early detection of pancreatic cancer (CA19-9) has been developed as a diagnostic kit. However, since the diagnosis is not accurate enough, pancreatic symptoms (abdominal pain, jaundice, anorexia, diabetes, etc.) and biomarkers (CA19-9) should be considered together. We develop an intelligent diagnostic system that considers CA19-9 and the incidence of pancreatic cancer for pancreatic symptoms that was determined by studying a large number of patient information. It shows a higher accuracy than one using CA19-9 alone. It may increase the survival rate of pancreatic cancer because it can diagnose pancreatic cancer early.