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Asian Pacific Journal of Tropical Biomedicine 2012年第9期2卷 755-756页

作者： Jaafar Juanarita Mohd Noor Raja Azmi yaakub azhany Ahmad Tajudin Liza-Sharmini Department of Ophthalmology School of Medical SciencesUniversiti Sains Malaysia

A 24 year-old Malay lady presented with high grade fever,myalgia,generalized rashes,severe headache and was positive for dengue serology *** lowest platelet count was 45×10~9 cells/*** complained of sudden onset of painlessness,profound loss of vision bilaterally 7 days after the onset of *** examination,her right eye best corrected vision was 6/30 and left eye was6/*** anterior segment examination was *** revealed there were multiple retinal haemorrhages found at posterior pole of both fundi and elevation at fovea area with subretinal *** examination revealed normal findings except for residual petechial *** was managed *** vision improved tremendously after 2 *** retinal hemorrhages and foveal elevation showed sign of *** manifestations following dengue fever is ***,bilateral visual loss can occur if both fovea arc involved.

关键词： Dengue fever Maculopathy Foveolitis

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纤维蛋白胶封闭早期滤过泡漏1例(英文)

国际眼科杂志 2009年第5期9卷 831-832页

作者： Ali Hassan Alashwal azhany yaakub Raja Azmi Mohd Noor Liza Sharmini Ahmad Tajudin 马来西亚理科大学医学院眼科马来西亚吉兰丹

患者,男,63岁,以"左眼突发视力下降,眼部不适,眼红,流泪"主诉就诊。1wk前因继发性青光眼行青光眼阀植入术。同一眼1a前曾行扩大的小梁切除术,手术失效。眼科检查结果:最佳矫正视力为6/18,有滤过泡漏,前房浅,眼压6mmHg。应用纤维蛋白胶... 详细信息

患者,男,63岁,以"左眼突发视力下降,眼部不适,眼红,流泪"主诉就诊。1wk前因继发性青光眼行青光眼阀植入术。同一眼1a前曾行扩大的小梁切除术,手术失效。眼科检查结果:最佳矫正视力为6/18,有滤过泡漏,前房浅,眼压6mmHg。应用纤维蛋白胶成功封闭滤过泡漏,前房加深,眼压升至13mmHg。此病例说明纤维蛋白胶是治疗早期滤过泡漏的有效方法。

关键词：纤维蛋白胶滤过泡漏滤过术

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外伤性视神经病变24例回顾研究(英文)

国际眼科杂志 2010年第6期10卷 1033-1036页

目的:探讨的外伤性视神经病变的临床表现,评估在眼科第三病区住院的经过三组不同处理(保守估计,单独静脉注射皮质类固醇,静脉注射和口服皮质类固醇联合治疗)的外伤性视神经病变患者的治疗效果。方法:对2007-01/2009-12在马来西亚医科大... 详细信息

目的:探讨的外伤性视神经病变的临床表现,评估在眼科第三病区住院的经过三组不同处理(保守估计,单独静脉注射皮质类固醇,静脉注射和口服皮质类固醇联合治疗)的外伤性视神经病变患者的治疗效果。方法:对2007-01/2009-12在马来西亚医科大学眼科连续住院的24例27眼外伤性视神经患者进行了回顾性研究。结果:本次研究对象为24例27眼男性外伤性视神经患者(平均年龄为33岁)。车祸是导致发病的主要原因(83%)。大部分患者的视力低下(手动/眼前～无光感约占82%),其中有22眼并发眶周血肿,20眼并发有结膜下出血。并发多于一骨(颅骨或眶骨)骨折有19例(79%),5例(21%)没有出现骨折。CT扫描或核磁共振检查显示患者均没有视神经压迫的证据。第一组: 11例(46%)患者进行静脉注射联合口服类固醇的治疗;第二组:7例患者(29%)进行保守治疗;第三组:6例(25%)患者给予静脉注射皮质类固醇治疗。92%(11/12眼)给予静脉注射和口服类固醇治疗的患者和78%保守治疗患者视力能提高1行。单独静脉注射皮质类固醇治疗的患者4例呈现无光感,1例有轻度视力改善,而其他患者视力保持不变。保守治疗患者和单独静脉注射皮质类固醇患者视力改善不显著,且两组间相比在统计学上无显著性差异(P=0.368)。静脉注射联合口服类固醇治疗的患者有明显的视觉改善(P<0.05)。没有患者接受视神经减压手术。在本研究中,随访时间为6mo～3a。结论:大部分外伤性视神经病变患者都存在有眶周血肿,结膜下出血,眶壁骨折的症状。对比保守治疗,经过静脉注射和口服皮质类固醇联合治疗的患者有更好的治疗效果。

关键词：外伤性视神经病变眼眶骨折皮质类固醇

Groundwater Exploration Using 2-D Geoelectrical Resistivity Imaging Technique at Sungai. Udang, Melaka

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Journal of Earth Science and Engineering 2012年第10期2卷 624-630页

作者： Zeinab Asry Abdul Rahim Samsudin Wan Zuhairi Yaacob Jasni yaakub Faculty of Science and Technology Universiti Kebangsaan Malaysia Bangi 43600 Malaysia Institute Lestari University Kebangsaan Malaysia Bangi 43600 Malaysia

Electrical resistivity imaging surveys have been conducted in order to locate, delineate subsurface water resource and estimate its reserve. The resistivity imaging surveys carried out basically measure and map the resistivity of subsurface materials. Electrical imaging is an appropriate survey technique for areas with complex geology where the use of resistivity sounding and other techniques are unsuitable to provide detailed subsurface information. The purpose of electrical surveys is to determine the subsurface resistivity distribution by making measurements on the ground surface. The resistivity imaging measurement employing Wenner electrode configuration was carried out using an ABEM SAS 1000 terrameter and electrode selector system ES464. The field survey was conducted along four profiles which provide a continuous coverage of the resistivity imaging below surface. The surface soil material is mainly clayey silt. The results showed that the layers associated with the low resistivities （Ωm） are located at depth ranging from 2 m to 28 m. This low resistivity values are associated with zone of water saturated weathered layer and fractures. The results showed that the thickness of residual soil is about 0.5-2.55 m. Borehole data indicated that the depth of bedrock is about 10 m and the groundwater level is ranging from 8.73 m to 8.54 m.

关键词： 2-D resistivity imaging electrical imaging resistivity borehole groundwater.

Application of Slantlet Transform Based Support Vector Machine for Power Quality Detection and Classification

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Journal of Power and Energy Engineering 2015年第4期3卷 215-223页

作者： Faridah Hanim M. Noh Hajime Miyauchi M. Faizal yaakub Department of Frontier Technology for Energy & Devices Kumamoto University Kumamoto Japan Department of Electrical Power Engineering Universiti Tun Hussein Onn Malaysia Johor Malaysia Department of Electrical Engineering Technology Universiti Teknikal Malaysia Melaka Melaka Malaysia

Concern towards power quality (PQ) has increased immensely due to the growing usage of high technology devices which are very sensitive towards voltage and current variations and the de-regulation of the electricity market. The impact of these voltage and current variations can lead to devices malfunction and production stoppages which lead to huge financial loss for the production company. The deregulation of electricity markets has made the industry become more competitive and distributed. Thus, a higher demand on reliability and quality of services will be required by the end customers. To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. This paper proposed to use Slantlet Transform (SLT) with Support Vector Machine (SVM) to detect and localize several PQ disturbance, i.e. voltage sag, voltage swell, oscillatory-transient, odd-harmonics, interruption, voltage sag plus odd-harmonics, voltage swell plus odd-harmonics, voltage sag plus transient and pure sinewave signal were studied. The analysis on PQ disturbances signals was performed in two steps, which are extraction of feature disturbance and classification of the dis- turbance based on its type. To take on the characteristics of PQ signals, feature vector was constructed from the statistical value of the SLT signal coefficient and wavelets entropy at different nodes. The feature vectors of the PQ disturbances are then applied to SVM for the classification process. The result shows that the proposed method can detect and localize different type of single and multiple power quality signals. Finally, sensitivity of the proposed algorithm under noisy condition is investigated in this paper.

关键词： Features Extraction Power Quality Disturbances Slantlet Transform Support Vector Machine