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Hamdani, Nissar Hussain,Qadri, Sumyra Khurshid,Aggarwalla, Ramesh,Bhartia, Vishnu Kumar,Chaudhuri, Sumit,Debakshi, Sanjay,Baig, Sarfaraz Jalil,Pal, N.K. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.11
Gallbladder carcinoma (GBC) is the commonest cancer of the biliary tree and the most frequent cause of death from biliary malignancies. The incidence of GBC shows prominent geographic, age, race, and gender-related differences and is 4-7 times higher in patients with gallstones. This prompted us to study the clinicopathological aspects of the disease and the incidence of gallstones in gallbladder carcinoma patients, in this part of India. In this, combined retrospective (Jan 2004-March 2010) and prospective study (April 2010-Dec 2011) of eight years, 198 patients of gallbladder carcinoma (50 males and 148 females), (range 28-82 years; mean 55 years) were studied. Most of the patients were poor and presented with abdominal pain and mass, with abnormal lab parameters. Gallstones were present in 86% of patients. Surgical exploration was performed in 130, with gallbladder resection in 60 (including 7 incidental GBC). Adenocarcinoma (87.7%) was the commonest histological type. The study indicates that GBC is common in our scenario. It is a disease of elderly females, has a strong association with gallstones and every cholecystectomy specimen should be examined histopathologically.
Ari Hamdani,Tomonori Ihara,Nobuyoshi Tsuzuki,Hiroshige Kikura 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.9
Two-phase air-water bubbly swirling flow through a pipe is a complex turbulent flow and its prediction is still challenging. The present paper describes the experimental investigation of the air-water bubbly swirling flow in vertical co-current flow. Swirling flow is induced by a twisted tape in a 20 mm inner diameter pipe. The flow is investigated using Ultrasonic velocity profiler (UVP), which allows the measurement of liquid and gas velocities simultaneously. Furthermore, simultaneous measurement of void fraction is performed using Wire mesh sensor (WMS). The experimental results reveal that swirling flow has significant impact on bubbles’ distribution. In low liquid flow rate, the average bubble velocity is fairly uniform along the radial position and void fraction increases in the near wall region. However, increasing liquid flow rate at constant gas flow rate leads to increase in void fraction in the core region, this is mainly due to drift velocity which is affected by centrifugal force. Experimental findings and parametric trends based on the effects of swirling flow are summarized and discussed.
Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
Anindita Septiarini,Hamdani Hamdani,Emy Setyaningsih,Eko Junirianto,Fitri Utaminingrum 대한의료정보학회 2023 Healthcare Informatics Research Vol.29 No.2
Objectives: The optic disc is part of the retinal fundus image structure, which influences the extraction of glaucoma features. This study proposes a method that automatically segments the optic disc area in retinal fundus images using deep learningbased on a convolutional neural network (CNN). Methods: This study used private and public datasets containing retinalfundus images. The private dataset consisted of 350 images, while the public dataset was the Retinal Fundus Glaucoma Challenge(REFUGE). The proposed method was based on a CNN with a single-shot multibox detector (MobileNetV2) to formimages of the region-of-interest (ROI) using the original image resized into 640 × 640 input data. A pre-processing sequencewas then implemented, including augmentation, resizing, and normalization. Furthermore, a U-Net model was applied foroptic disc segmentation with 128 × 128 input data. Results: The proposed method was appropriately applied to the datasetsused, as shown by the values of the F1-score, dice score, and intersection over union of 0.9880, 0.9852, and 0.9763 for the privatedataset, respectively, and 0.9854, 0.9838 and 0.9712 for the REFUGE dataset. Conclusions: The optic disc area producedby the proposed method was similar to that identified by an ophthalmologist. Therefore, this method can be considered forimplementing automatic segmentation of the optic disc area.
Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images
Anindita Septiarini,Dyna M. Khairina,Awang H. Kridalaksana,Hamdani Hamdani 대한의료정보학회 2018 Healthcare Informatics Research Vol.24 No.1
Objectives: Glaucoma is an incurable eye disease and the second leading cause of blindness in the world. Until 2020, thenumber of patients of this disease is estimated to increase. This paper proposes a glaucoma detection method using statisticalfeatures and the k-nearest neighbor algorithm as the classifier. Methods: We propose three statistical features, namely,the mean, smoothness and 3rd moment, which are extracted from images of the optic nerve head. These three features areobtained through feature extraction followed by feature selection using the correlation feature selection method. To classifythose features, we apply the k-nearest neighbor algorithm as a classifier to perform glaucoma detection on fundus images. Results: To evaluate the performance of the proposed method, 84 fundus images were used as experimental data consistingof 41 glaucoma image and 43 normal images. The performance of our proposed method was measured in terms of accuracy,and the overall result achieved in this work was 95.24%, respectively. Conclusions: This research showed that the proposedmethod using three statistics features achieves good performance for glaucoma detection
Metastatic Lymphadenopathy in Kashmir Valley: A Clinicopathological Study
Qadri, Sumyra Khurshid,Hamdani, Nissar Hussain,Shah, Parveen,Baba, Khalil Mohammad Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.1
Background: Lymphadenopathy is a common presentation in both benign and malignant diseases which need to be diagnosed without delay. Fine needle aspiration cytology (FNAC) helps us diagnose a disease and follow its course, including the response to therapy. Aim: This study aimed to analyze the clinicopathological features of metastatic lymphadenopathy and the diagnostic utility of FNAC in our setting. Materials and Methods: This two-year prospective study included all the patients with metastatic lymphadenopathy, diagnosed with FNAC. Results: A total of 412 cases (male:female ratio, 1.3:1; age range, 3 to 90 years) were studied. Supraclavicular lymph nodes were involved most commonly (50.5%). The commonest metastatic tumor was squamous cell carcinoma in general (30.1%) and in males (37.6%), and infiltrating ductal carcinoma (25.3%) in females. Lung, with 64 (15.5%) cases followed by esophagus, 60 (14.6%) cases; breast, 49 (11.9%) cases; skin, 32 (7.8%) cases; and stomach, 25 (6.1%) cases were the most common primary sites of malignancy. In 69 patients, excision biopsy was performed. Histopathological findings correlated well with that of cytology in all these cases. Conclusions: FNAC is an important tool in the diagnostic work up of metastatic lymphadenopathy, which in the hands of an experienced and skilful cytopathologist can avoid the need for excision biopsy.
Return Migrants and International Transfer of Technology : A Case Study of Azad, Jammu and Kashmir
Chaudhary, M. Aslam,Hamdani, S. Nisar H. 세종대학교 국제경제연구소 2002 Journal of Economic Integration Vol.17 No.2
The study aims exploring contributions of return migrants, particularly, their role in international transfer of technology in Azad,Jammu and Kashmir(AJK). Besides, reasons for migration and impact on employment generation, as well as, characteristics of migrant(s) are identified who are most likely to promote the transfer of technology. For this purpose, a field survey was conduted in Azad, Jammu and Kashmir, an area with a high rate of international migration. Econometric models were estimated to draw empirical support for determining of the issues. The empirical evidences indicate that education level, demographic profile, career planning before migration, vocational training, duration of stay abroad and specific type of employer are some of the important determinants of migrants who are likely to transfer technology. The return migrants who spend on luxuries are less likely to contribute in this respect. Such migrants possess specific set of characteristics(s). As per our knowledge, this source of international transfer of technology has not been identified so far. Besides, different technologies like improvement in infoware, humanware, technoware and organisational skills etc, which contribute to improve human capital are identified. The study also provides information on re-employment pattern of return migrants. It further highlights impacts of return migrants on the promotion of local businesses and employment generation. Based upon the evidences, the study provides policy guideline to fully benefit from migrants. A labour policy to provide information about the types of feasible businesses, incentives to bring new technology and facilitation of setting up business could enhance local development. The study contributes by identifying an important new source of international transfer of technology(s) through migrants. The policy direction are provided to explored this new channel to transfer new technologies and, therefore, accelerate economic development in developing areas. The study would also be equally beneficial for other areas, which experience return migrants.