SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES最新文献_第10页

Green Synthesis and Characterization of TiO2 nanoparticles using extract of Alhagimaurorum for the Treatment of Waste Water 紫金花提取物处理废水的绿色合成及TiO2纳米颗粒的表征

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-06-19 DOI: 10.26692/SUJO/2019.6.41

M. A. Kazi, Z. Memon, F. A. Shah, Z. M. Ali

{"title":"Green Synthesis and Characterization of TiO2 nanoparticles using extract of Alhagimaurorum for the Treatment of Waste Water","authors":"M. A. Kazi, Z. Memon, F. A. Shah, Z. M. Ali","doi":"10.26692/SUJO/2019.6.41","DOIUrl":"https://doi.org/10.26692/SUJO/2019.6.41","url":null,"abstract":"Development of industries in the human based area became source of ecological contamination through accumulation of various health hazard pollutants into the water. Water is highly imperative treasure for living creature on earth because of its too much importance in physiochemical and for people’s requirement. The objective of the current study is to synthesize the ecofriendly TiO2 nanoparticles using extract of pharmaceutically important plant Alhagimaurorum. The studies plant was collected locally. The TiO2 nanoparticles were prepared using the simple already reported method, by addition of TiO2 into the crude extract until change in color occurs. The synthesis was confirmed through UV-spectroscopic andFourier-transform infrared spectroscopy, shape and size of particles were measure using scanning electron microscope. The elemental presence was assured through energy Dispersive X-ray spectrometric analysis. The result showed that color change, band shift confirmed the successful synthesis of TiO2 nanoparticles. Maximum synthesized nanoparticles were round in shape with varying in size. The waste water cleaning efficacy of prepared nanoparticles was analyzed. The prepared TiO2 nanoparticles significantly reduced the total dissolved salt contents and hardness of water. Therefore these synthesized TiO2 nanoparticles could be the best source for cleaning of waste water particularly hardness and total dissolved salts from waste water without spoiling quality of water.","PeriodicalId":21635,"journal":{"name":"SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES","volume":"136 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89023519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the usage of E-learning: An Integrated model of TAM and IS Success 调查电子学习的使用:TAM和IS成功的集成模型

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-06-19 DOI: 10.26692/SUJO/2019.6.30

N. Ali, S. Samsuri, Arjumand Bano Soomro, I. Brohi, Asadullah Shah

引用次数: 1

Identifying Code Quality issues in Student Projects 识别学生项目中的代码质量问题

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-06-19 DOI: 10.26692/SUJO/2019.6.53

G. Laghari, K. Dahri, S. Nizamani, M. Y. Koondhar, M. Hyder, Ahsanullah Abro

引用次数: 0

Evaluating VOML Framework as a Dependable System 评估作为可靠系统的VOML框架

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-06-19 DOI: 10.26692/SUJO/2019.6.58

N. J. Rajper

引用次数: 0

Hazard and Operability Study of Gas Exploration Field Located in Pakistan 巴基斯坦天然气勘探气田危害及可操作性研究

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-06-19 DOI: 10.26692/SUJO/2019.6.33

S. Ishteyaque, S. Jabeen, S. Abro, A. A. Ghani, S. Sikandar, Q. Saim

{"title":"Hazard and Operability Study of Gas Exploration Field Located in Pakistan","authors":"S. Ishteyaque, S. Jabeen, S. Abro, A. A. Ghani, S. Sikandar, Q. Saim","doi":"10.26692/SUJO/2019.6.33","DOIUrl":"https://doi.org/10.26692/SUJO/2019.6.33","url":null,"abstract":"Daily huge amount of oil and gas (O&G) is consumed around the world which is mainly transported and distributed through pipelines. The integrity and safety of these pipelines is of primary interest for Oil & Gas companies, consultants, Government agencies, and other stakeholders due to adverse consequences and heavy financial losses in case of operational failure. HAZOP (Hazard and Operability Study) is a widely used technique for the identification of process hazards in the design and operation of a facility. The main objective of this work is to analyze the hazards of existing gas & oil transportation plant located in a rural area of Pakistan. A detailed study was conducted by a team of 4-5 professional Engineers and identified the hazards by using specific guide words afterward, proper safety measure was suggested. The whole study was carried out in 6-9 months. After detailed HAZOP study in gas processing unit about 14 risks were identified. Out of which only 01 risk is unacceptable and 03 are undesirable that should be mitigated to risk rank 3, the others are acceptable with controls. Based on which about 13 safety measures were recommended and most of them about 53% include regular or periodic checkups and maintenance. This article presents the cause and work stream of HAZOP and gives real case study for the utilization of HAZOP in gas processing fields. This study reveals the deviation occurs in the incoming gas flow pipeline which causes the plant to shut down and increases the downtime in production.","PeriodicalId":21635,"journal":{"name":"SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86535175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

CUE-driven Retrospection–a data Capturing Technique 线索驱动的回顾——一种数据捕获技术

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-03-06 DOI: 10.26692/SUJO/2019.01.08

M. K. Shaikh

{"title":"CUE-driven Retrospection–a data Capturing Technique","authors":"M. K. Shaikh","doi":"10.26692/SUJO/2019.01.08","DOIUrl":"https://doi.org/10.26692/SUJO/2019.01.08","url":null,"abstract":"A cue-driven retrospection (CDR) method is presented here that is developed for modeling the decision making process of naturalistic decision makers. The method is obtained from analysis of data obtained for nonroutine situations from fireground incident commanders and focuses on the use of cues instead of patterns. The method revolves around the tenet that in no routine situations, the decision makers think in a bottom-up fashion using the important, relevant and diagnostic cues intuitively (Shaikh, 2011); the method intends to capture the arguments that the firefighters give to term or not term a cue important, relevant and diagnostic. The thematic analysis of data gathered for Shaikh (2011) gave rise to this method. For testing the method, a total of 12 firefighters were asked to recall an incident that was of no routine nature and they were asked to fill the CDR template. The firefighters were provided a set of cues to assist in the activity and extract more mentally. The results shows that the firefighters were able to identify the relevance, importance and diagnosticity of cues. The CDR method can be used for naturalistic decision makers as well as for professionals such as design engineers, paramedics, and computer programmers etc. The method can be used for developing decision support systems, evaluating performance of decision makers, as certaining areas where more training is required, and for investigating the decision making process. This research in itself is one of its kind because fire brigade in Pakistan is mostly unexplored and how firefighters make decisions in the absence of even water and other basic resources needs to be investigated. Moreover this researcher found them highly non cooperative in this research endeavor.","PeriodicalId":21635,"journal":{"name":"SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75583458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spurious Suppression of Ceramic loaded filter with different Ceramic Permittivity 不同介电常数陶瓷负载滤波器的杂散抑制

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-03-06 DOI: 10.26692/SUJO/2019.01.04

S. Afridi, A. A. Jamali, M. Anjum, A. Samejo

引用次数: 0

Isolation and Identification of Pathogenic Bacteria Associated with Diseased Fish Cirrhinus mrigala (Ham) in Glass Aquarium 玻璃水族箱病鱼mrigala (Ham)病原菌的分离与鉴定

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-03-06 DOI: 10.26692/SUJO/2019.01.18

A. Jatt, B. Waryani, S. A. Tunio, S. Memon, T. A. Arain

{"title":"Isolation and Identification of Pathogenic Bacteria Associated with Diseased Fish Cirrhinus mrigala (Ham) in Glass Aquarium","authors":"A. Jatt, B. Waryani, S. A. Tunio, S. Memon, T. A. Arain","doi":"10.26692/SUJO/2019.01.18","DOIUrl":"https://doi.org/10.26692/SUJO/2019.01.18","url":null,"abstract":"Aquaculture products can anchorage several pathogenic bacterial species, which are known as part of the micro-flora of the environment. The pathogenic bacteria associated with fish can be transmitted to humans as a food source or by handling. The aim of this study was to isolate and identify pathogenic bacteria associated with diseased fish in aquarium. Sampling was carried out under aseptic conditions following standard protocol. Bacterial growth was obtained on different growth media. Total 26 bacterial species were isolated and identified on the basis of cultural, morphological, staining reactions and biochemical analysis. Of the 26 bacterial species, Escherichia coli was the most common bacterium accounting 34.62% (n=09) followed by Aeromonas salmonicida 30.77% (n=08), Staphylococcus aureus 23.07% (n=06) and Salmonella typhi 11.54% (n=03). The isolation of pathogenic bacterial species from fish samples may represent high risk for development of lethal infections in humans utilizing such contaminated/diseased fish as a food source. In summary, the present study has revealed the presence of pathogenic bacterial species in diseased aqua fish. It is therefore suggested to take authentic measures to limit the access of bacterial pathogens in fish acquirams.","PeriodicalId":21635,"journal":{"name":"SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82264568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Drought and its Extermination of the Diastrophic Plants in the TharDesert, Pakistan 巴基斯坦塔尔沙漠的干旱及其致灾植物的灭绝

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-03-06 DOI: 10.26692/SUJO/2019.01.28

S. Meghwar, G. M. Mastoi, K. F. Almani, K. Lashari

引用次数: 0

Image Segmentation Approach Using Python OpenCV to Detect Tuberculosis 使用Python OpenCV检测肺结核的图像分割方法

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES Pub Date : 2019-03-06 DOI: 10.26692/SUJO/2019.01.24

A. A. Khan, A. Burdi, S. Awan, H. Shah, F. Abbasi

{"title":"Image Segmentation Approach Using Python OpenCV to Detect Tuberculosis","authors":"A. A. Khan, A. Burdi, S. Awan, H. Shah, F. Abbasi","doi":"10.26692/SUJO/2019.01.24","DOIUrl":"https://doi.org/10.26692/SUJO/2019.01.24","url":null,"abstract":"Tuberculosis (TB) is one of the major disease spreading whole over the world. TB caused by bacteria known as Mycobacterium tuberculosis. Nowadays, TB is increasing widely in the region of Karachi and now it’s becoming a challenging task for all researchers. The process is to partitioning digital image into different segments according to the set of pixels known as image segmentation. It’s used to find segments & extract meaningful information of an image. Image segmentation approaches are providing new ways in the field of medical and it’s exactly suitable for TB images, block-based & layer-based segmentation helps to identify edges, thresholding regional growth, clustering, water shading, erosion & dilation, utilizing histogram for the betterment of TB patients. Chest X-ray is playing a vital role to diagnose TB rapidly. TB image contains binary colors, it’s either black & white but it would have been different level of the color shades. Diagnosing symptoms and intensity of TB in a patients’ x-ray is such a critical problem. The purposed solution is to overcome the problem and reduce the ratio of TB patients in Karachi region by using image segmentation approaches on chest X-ray and calculates the alternative way to detect the intensity level of TB in individual patient’s report with effectively, efficiently & accurately with minimum amount of time by using Python Open CV.","PeriodicalId":21635,"journal":{"name":"SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83955021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1