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Orthopaedics and Trauma, 2010
Open Journal of Orthopedics, 2015
Asian Pacific journal of cancer prevention : APJCP, 2010
Very little epidemiological data regarding bone sarcomas from South Asia in general and Pakistan in particular are available. At the largest center for histopathology in Pakistan, we looked at three common bone sarcomas in our practice i.e. osteosarcoma, Ewing's sarcoma and chondrosarcoma. Our aim was to compile epidemiological data regarding age, gender and site distribution, and to correlate our findings with published western data in order to determine whether there were any significant differences in our population compared to the west. An overwhelming majority of osteosarcomas in our study occurred in the second and third decades of life; they were common in males; and femur, tibia and hip bone were the commonest bones involved accounting for an overwhelming majority of cases. The large majority of Ewing's Sarcomas in our study occurred in the first three decades of life; they were more common in males; vertebrae, tibia, femur and hip bone were the commonest sites. In o...
JPMA. The Journal of the Pakistan Medical Association, 1999
OBJECTIVE The present study was done to find out the frequency of malignant tumors of bone and to categorize the prevalence of various histological types of osseous malignancies with respect to age, sex and site of origin. SETTING This study included consecutive cases of malignant bone tumors, which were diagnosed in the department of pathology at the Aga Khan University Hospital, Karachi during the period of three years (1995-1997). METHODS These tumors were initially evaluated on H & E stained section from paraffin embedded tissue blocks. Special stains and immunohistochemical analysis was performed whenever required. RESULTS A total of 169 malignant bone tumors were diagnosed during the study period. Metastatic tumors accounted for 28.4% of all malignant tumors of bone. Osteogenic sarcoma (27.2%) was the most frequent primary tumor of bone followed by Ewing's sarcoma (12.4%), Non-Hodgkin's lymphoma (10.6%), Chondrosarcoma (8.3%), Plasma Cell Myeloma (8.3%) and other rare ...
Acta orthopaedica Scandinavica. Supplementum, 1980
Osteosarcoma – Diagnosis, Mechanisms, and Translational Developments [Working Title]
Makalah Fisika tentang Gaya Lorent kunjungi blog saya untuk artikel menarik lainnya : https://rekayasaduniawi.blogspot.com/ https://rekayasaduniawi.blogspot.com/2023/02/3-rekomendasi-usaha-daur-ulang-untuk.html
International Journal of Computer Science and Information Security (IJCSIS), Vol. 22, No. 4, July-August, 2024
The world is modernized day by day because of the internet. People can see anything through social media. In this paper, we work on sentiment or opinion mining. There are two types of sentiment: positive sentiment and negative sentiment. Also, English sentiment has multiple works, but Bangla sentiment works are limited. Thus, we focus on Bengali sentiment. We also focus on Bengali sentiment exploration in transformer blocks I and II.. We collect data from Kaggle, such as the predict unsupervised dataset (dataset 1), the conversion dataset (dataset 2), and the Bengali Review dataset (dataset 3).The total number of Bengali sentiments is 19600. Different transformer methods, such as bidirectional encoder representation from transformer (BERT), distilled version of BERT (DistilBERT), and a lite Bert for self-supervised learning of language representations (Albert),. We use deep neural networks such as recurrent neural networks (RNN), long-short-term memory (LSTM), and gated recurrent units (GRU). All the datasets work effectively and efficiently, but the Bengali Review dataset with Transformer II works so fast that accuracy, precision, recall, F1-score, and Roc score are 93.91% in LSTM with DistilBERT, 97.43% in LSTM with ALBERT, 97.15% in LSTM with BERT, 95.77% in LSTM with DistilBERT, and 93.41% in LSTM with ALBERT, respectively. Error exploration is much more important for sentiment analysis. When there are fewer errors, the model performs more efficiently. Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Square Log Error (MSLE) are 0.060, 0.246, and 0.029, respectively, in LSTM with DISTILBERT. Overall, transformer block II provide the best result. Keywords—Sentiment exploration; Bengali dataset; Transformer I and II; Encoder; Neural Network.
Bulletin of the School of Oriental and African Studies, 1991
Rewiew of Angus C. Graham, Disputers of the Dao
Evaluating the International Legal System through the Case of Israel at the ICJ, 2024
Revista Científica Retos de la Ciencia
Manuscrítica, 2012
Jurnal Teknik Informatika
DAYTONSKI MIROVNI SPORAZUM I BUDUĆNOST BOSNE I HERCEGOVINE, 2016
Architectural Theory Review, 2022
International Journal of All Research Education and Scientific Methods (IJARESM), 2021
Analytica , 2019
Schema: Journal of Psychological Research
Turkish Journal of Agriculture - Food Science and Technology
E3S web of conferences, 2023
Proceedings of the 5th International Conference on Vocational Education and Technology, IConVET 2022, 6 October 2022, Singaraja, Bali, Indonesia
BMC Public Health, 2021
2009 30th IEEE Real-Time Systems Symposium, 2009