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RISS 인기검색어
- 검색키워드
- 저자 : Payam Hosseinzadeh Kasani (검색결과 4 건)
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( Payam Hosseinzadeh Kasani ),( Seung Min Oh ),( Yo Han Choi ),( Sang Hun Ha ),( Hyungmin Jun ),( Kyu Hyun Park ),( Han Seo Ko ),( Jo Eun Kim ),( Jung Woo Choi ),( Eun Seok Cho ),( Jin Soo Kim ) 한국축산학회(구 한국동물자원과학회) 2021 한국축산학회지 Vol.63 No.2
The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the pregnant sow under low and high ambient temperatures during the last stage of gestation. A total of 27 crossbred sows (Yorkshire × Landrace; average body weight, 192.2 ± 4.8 kg) were assigned to three treatments in a randomized complete block design during the last stage of gestation (days 90 to 114). The sows in group 1 were fed a 3% fiber diet under neutral ambient temperature; the sows in group 2 were fed a diet with 3% fiber under high ambient temperature (HT); the sows in group 3 were fed a 6% fiber diet under HT. Eight popular deep learning-based feature extraction frameworks (DenseNet121, DenseN et201, InceptionResNetV2, InceptionV3, MobileNet, VGG16, VGG19, and Xception) used for automatic swine posture classification were selected and compared using the swine posture image dataset that was constructed under real swine farm conditions. The neural network models showed excellent performance on previously unseen data (ability to generalize). The DenseNet121 feature extractor achieved the best performance with 99.83% accuracy, and both DenseNet201 and MobileNet showed an accuracy of 99.77% for the classification of the image dataset. The behavior of sows classified by the DenseNet121 feature extractor showed that the HT in our study reduced (p < 0.05) the standing behavior of sows and also has a tendency to increase (p = 0.082) lying behavior. High dietary fiber treatment tended to increase (p = 0.064) lying and decrease (p < 0.05) the standing behavior of sows, but there was no change in sitting under HT conditions.
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손상 정도가 다른 양안 정상안압녹내장 환자에서 두 눈의 사상판 깊이 비교
이재연,Payam Hosseinzadeh Kasani,권성옥,김정아 대한안과학회 2022 대한안과학회지 Vol.63 No.5
Purpose: To evaluate the association between lamina cribrosa depth (LCD) and the severity of glaucomatous damage in patients with normal-tension glaucoma (NTG). Methods: The optic nerve heads (ONHs) of patients with bilateral NTG showing asymmetrical damage were scanned using spectral-domain optical coherence tomography. LCDs were measured on ONH horizontal B-scan images at three locations equidistant across the vertical optic disc diameter and compared between the more damaged and contralateral eyes. Conditional logistic regression analysis was performed to identify ocular risk factors associated with more severe damage between the eyes. Results: One hundred and four eyes of 52 patients with bilateral NTG were included. The mean age was 66.0 ± 15.0 years; there were 31 males and 21 females. The more damaged eyes exhibited a higher baseline intraocular pressure (IOP) (p < 0.001), a thinner global retinal nerve fiber layer thickness (p < 0.001), and worse visual field mean deviation (p < 0.001) and a pattern standard deviation (p < 0.001), than the contralateral eyes. In contrast, we found no significant inter-eye difference in either the spherical equivalent or the axial length. The average LCD was significantly larger in the more damaged eyes (529.4 ± 116.7 vs. 482.9 ± 107.5 μm, p < 0.001). On conditional logistic regression analysis, the higher the baseline IOP (p = 0.006) and the larger the LCD (p = 0.003), the higher the risk of having more severe damage compared to the contralateral eye under similar systemic conditions. Conclusions: The LCD was significantly larger in the more damaged eyes of patients with bilateral NTG, suggesting that LC deformation might be associated with glaucomatous ONH damage in NTG eyes.
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Influence of artificial intelligence and chatbots on research integrity and publication ethics
윤철희,Payam Hosseinzadeh Kasani,Kee Hyun Cho,Jae-Won Jang 한국과학학술지편집인협의회 2024 Science Editing Vol.11 No.1
Artificial intelligence (AI)-powered chatbots are rapidly supplanting human-derived scholarly work in the fast-paced digital age. This necessitates a re-evaluation of our traditional research and publication ethics, which is the focus of this article. We explore the ethical issues that arise when AI chatbots are employed in research and publication. We critically examine the attribution of academic work, strategies for preventing plagiarism, the trustworthiness of AI-generated content, and the integration of empathy into these systems. Current approaches to ethical education, in our opinion, fall short of appropriately addressing these problems. We propose comprehensive initiatives to tackle these emerging ethical concerns. This review also examines the limitations of current chatbot detectors, underscoring the necessity for more sophisticated technology to safeguard academic integrity. The incorporation of AI and chatbots into the research environment is set to transform the way we approach scholarly inquiries. However, our study emphasizes the importance of employing these tools ethically within research and academia. As we move forward, it is of the utmost importance to concentrate on creating robust, flexible strategies and establishing comprehensive regulations that effectively align these potential technological developments with stringent ethical standards. We believe that this is an essential measure to ensure that the advancement of AI chatbots significantly augments the value of scholarly research activities, including publications, rather than introducing potential ethical quandaries.
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Sang Won Park,Payam Hosseinzadeh Kasani,Na Young Yeo,Gab-Jung Kim,Se-Jong Yoo,Jin Su Kim 한국자기학회 2020 Journal of Magnetics Vol.25 No.4
The radiomics based on positron emission tomography (PET) data and random forest can predict overall survival rate of head and neck squamous cell carcinoma (HNSCC). We used the texture features extracted from PET and clinical information from patients with HNSCC (n = 138). The Spearman"s correlation analysis, Kaplan-Meier log rank test and random forest were used for survival significance and to predict survival rate of patients with HNSCC. Zone Length Non-Uniformity (ZLNU) was defined as a new key radiomics feature to predict survival rate. For stage N2 group, predicted survival rate was 76.2 % and actual survival rate was 73.3%. For stage IVA group, predicted survival rate was 74.7 % and actual survival rate was 73.8 %. The result of this study that applications of <SUP>18</SUP>F-(FDG)-PET images using radiomics features was validated and could be expected to be used as the basis for future research using MRI images with more distinct structures.
ScienceON
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