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Pyiet Phyo Kyaw,Hein Htet Lwin,Soe Win Naing,Kyaw Swar Oo,Thu Ya Aung,Aung Nanda,Lin Aung 대한체질인류학회 2020 해부·생물인류학 (Anat Biol Anthropol) Vol.33 No.2
Myin Ma Hti is the local name meant that the mountain horse never touches. In Myanmer, this name is very popular as the Buddhist religious place. Most pilgrims usually visit to the area of Myin Ma Hti. In 1997, a new limestone cave was discovered during the field trip of local geological team and the first explorer gave the name for the cave as Myin Ma Hti Cave No. 2. In their 1997 report, the archaeo-faunal remains and stone implements were recorded as teeth and vertebrate bones of bull, ox, deer and polished stone rings and implements that could be estimated as the Neolithic context dated as 6,000-4,000 BP. In 2019, the environmental assessment team accidentally arrived into the cave and they found some significant remains of stone tools mingled with a pile of bone fragments after the local people dug the floor of cave to build the religious stupa. Then, rescue archaeological works had been initiated to take recording and making catalogue of bone fragments and stone pieces. Most of the findings are the bone fragments and wasters of stone rings. The special findings are potential bone tools with the cut and scrape marks of edging and sharpening. The anthropogenic feature could be examined with the ash layer 3-meter depth approximately. In this report, the significance of archaeofaunal evidences and stone implements accidentally found in MMH2 will be described as the preliminary survey of prehistoric cave in Aung Pan Township, Shan State, Myanmar.
Aung Moe Thu Zar,Lim Sang-Heon,Han Jiyong,Yang Su,Kang Ju-Hee,Kim Jo Eun,Huh Kyung-Hoe,Yi Won-Jin,Heo Min-Suk,Lee Sam-Sun 대한영상치의학회 2024 Imaging Science in Dentistry Vol.54 No.1
Purpose: The objective of this study was to propose a deep-learning model for the detection of the mandibular canal on dental panoramic radiographs. Materials and Methods: A total of 2,100 panoramic radiographs (PANs) were collected from 3 different machines: RAYSCAN Alpha (n = 700, PAN A), OP-100 (n = 700, PAN B), and CS8100 (n = 700, PAN C). Initially, an oral and maxillofacial radiologist coarsely annotated the mandibular canals. For deep learning analysis, convolutional neural networks (CNNs) utilizing U-Net architecture were employed for automated canal segmentation. Seven independent networks were trained using training sets representing all possible combinations of the 3 groups. These networks were then assessed using a hold-out test dataset. Results: Among the 7 networks evaluated, the network trained with all 3 available groups achieved an average precision of 90.6%, a recall of 87.4%, and a Dice similarity coefficient (DSC) of 88.9%. The 3 networks trained using each of the 3 possible 2-group combinations also demonstrated reliable performance for mandibular canal segmentation, as follows: 1) PAN A and B exhibited a mean DSC of 87.9%, 2) PAN A and C displayed a mean DSC of 87.8%, and 3) PAN B and C demonstrated a mean DSC of 88.4%. Conclusion: This multi-device study indicated that the examined CNN-based deep learning approach can achieve excellent canal segmentation performance, with a DSC exceeding 88%. Furthermore, the study highlighted the importance of considering the characteristics of panoramic radiographs when developing a robust deep-learning network, rather than depending solely on the size of the dataset.
Naing Aung Htay,Soe May Thu,Win Nay Myo,강현희,정미영,김창길 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.6
We investigated whether ethylene is involved in the stem-bending mechanism of the two diferent gerberas [long-lived cultivar ‘Mary Queen’ and short-lived cultivar ‘Harmony’] by pretreating the stems with an ethylene-releasing compound (Ethephon), an ethylene-action inhibitor [silver thiosulfate (STS)], or Ethephon in combination with STS (Ethephon+STS), using distilled water as the control. In the cv. ‘Mary Queen,’ the control stems did not show stem bending, while the treatment groups showed bending at 6 and 9 days after treatment (DAT). In the cv. ‘Harmony,’ the bending rate observed in the Ethephon-treated stems was lower than the other treatments at 9 DAT. However, a lower bending rate in the Ethephon group relative to the other treatments is unlikely to be associated with ethylene action, because the bending rate observed in the Ethephon+STS group was signifcantly higher than the STS group. In addition, the bending rates of both cultivars were not associated with lignin contents or the expression of lignin biosynthesis genes in the stems. As it is complicated to conclude the role of Ethephon in stem bending of the gerberas, these results suggest that the use of Ethephon to delay stem bending in cut gerberas is not warranted
Manju Chandran,Yun Ann Chin,Kuan Swen Choo,Wan Chen Ang,Xiao Feng Huang,Xiao Ming Liu,Donovan Tay,Tin Kyaw Kyaw Aung,Amin Ali,Win Pa Pa Thu,Susan Logan,Sean Xuexian Yan,Sarath Lekamwasam,Ying Hao 대한골다공증학회 2020 Osteoporosis and Sarcopenia Vol.6 No.2
Objectives: The accuracy of FRAX® as a screening tool to identify osteoporosis and how it compares with tools such as Osteoporosis Self-Assessment Tool for Asians (OSTA), in Southeast Asian women has so far been unexplored. We aimed to determine the FRAX® thresholds that accurately identify densitometric osteoporosis and to compare its performance with that of OSTA for this purpose. Methods: Singaporean postmenopausal women (n ¼ 1056) were evaluated. FRAX® Major Osteoporotic Fracture Probability (MOFP), Hip Fracture Probability (HFP) scores, and OSTA indices were calculated. Receiver operating characteristic (ROC) curves were constructed and via the Youden index, the optimal cut-off points of balanced sensitivity and specificity for dual energy X-ray absorptiometry (DXA)-defined osteoporosis were identified and the performance characteristics were compared. Results: A FRAX® MOFP threshold of ≥3.7% had sensitivity, specificity, positive predictive value and negative predictive value of 0.78 (0.73-0.83), 0.63 (0.59-0.66), 0.4 (0.36-0.44), and 0.9 (0.87-0.92), respectively in identifying osteoporosis. The corresponding values for a HFP threshold of 0.6% were 0.85 (0.80-0.89), 0.58 (0.55-0.62), 0.39 (0.35-0.43), and 0.92 (0.9-0.94) and that for an OSTA index cut-off of ≥ -1.2 were 0.76 (0.70-0.81), 0.74 (0.71-0.77), 0.48 (0.43-0.54), and 0.91 (0.88-0.93). The area under the ROC curves were 82.8% (79.9%-85.6%), 77.6% (74.2%-81%), and 79.6% (76.5%-82.8%) for OSTA, MOFP, and HFP thresholds respectively. Conclusions: FRAX® and OSTA perform comparably in identifying osteoporosis in our population. OSTA has only 2 parameters and may be simpler to use. However, FRAX® may also have a role in primary screening to identify the postmenopausal woman to be referred for DXA scanning and may help facilitate fracture risk reduction discussions with the patient.