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Determining hepatitis C virus genotype distribution among high-risk groups in Iran using real-time PCR

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World Journal of Gastroenterology 2014年第19期20卷 5897-5902页

作者： Marzieh Jamalidoust Mandana Namayandeh sadaf Asaei Nasrin Aliabadi Mazyar Ziyaeyan Department of Medical Virology Alborzi Clinical Microbiology Research CenterShiraz University of Medical SciencesShiraz 71937-11351Iran Department of Medical Virology Faculty of Medical SciencesTarbiat Modares UniversityTehran 14115-331Iran

AIM: To assess hepatitis C virus (HCV) genotype patterns among high-risk Iranian groups, using real-time RT-PCR.

关键词： Hepatitis C virus genotype distribution Injection drug users Real-time PCR Iran

Omental flaps reduces complications after pancreaticoduodenectomy

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Hepatobiliary & Pancreatic Diseases International 2015年第3期14卷 313-319页

作者： Omar J Shah sadaf A Bangri Manmohan Singh Reyaz A Lattoo Mohammad Y Bhat Department of Surgical Gastroenterology Sher-i-Kashmir Institute of Medical Sciences

BACKGROUND： Major complications after pancreaticoduo- denectomy are usually caused by a leaking pancreaticojejunal anastomosis. Omental flaps around various anastomoses were used to prevent the formation of fistula.

关键词： pancreaticoduodenectomy omental flaps periampullary neoplasms

Electromagnetic spectrum chipless radio frequency identification:A review

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Digital Communications and Networks 2020年第3期6卷 377-388页

作者： Qingjuan Li Rana sadaf Anwar Huansheng Ning Jun Wang Lingfeng Mao School of Computer and Communication Engineering University of Science and TechnologyBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Beijing Electro-Mechanical Engineering Institute Beijing100074China

Over the past few years,Radio Frequency IDentification(RFID)has stridden significantly due to its adoption in many business and daily life *** empowers end-to-end and item-by-item visibility,letting the customers or decision-makers effectively trail the personnel and resources for improved *** research and development in this area have transformed the inexpensive,miniaturized technology of RFIDs without chip *** Radio Frequency IDentification(CRFID)is a unique wireless technology based on radar principle to sense,identify,and track the *** are simplified and miniaturized tags of traditional RFID,which can widely be used in small and cheap objects/applications in our daily *** paper reviews the definition,principle,and most recent development in *** on the reported researches,the ElectroMagnetic Spectrum(EMS)method is typical,which has been concerned by many RFID ***,this paper reviews different types of EMS CRFID tag and classifies these tags based on structure design emphasizing their significant geometries in comparison with performance *** and coding methods of the EMS CRFID are also elaborated,contrasting the tag capacity and coding ***,we briefly summarize the challenges and limitations in this emerging field and look forward to the prospects of future CRFID.

关键词： CRFID Electromagnetic Tag structure Coding

中国新疆生态变迁——揭示气候变化对植被动态的影响

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Journal of Geographical Sciences 2024年第6期34卷 1039-1064页

作者：郝海超姚俊强陈亚宁徐建华李稚段伟利萨达夫-伊斯梅尔王桂玲 Key Laboratory of Geographic Information Science(Ministry of Education) School of Geographic SciencesEast China Normal UniversityShanghai200241China Graduate School of Advanced Integrated Studies in Human Survivability Kyoto UniversityYoshida-Nakaadachi 1Sakyo-kuKyoto 606-8306Japan Field Scientific Experiment Base of Akdala Atmospheric Background Institute of Desert MeteorologyChina Meteorological AdministrationUrumqi 830011China State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid LandsXinjiang Institute of Ecology and GeographyCASUrumqi 830011China School of Geographic Science Nantong UniversityNantong 226007JiangsuChina

For the past several decades, climate change has been driving vegetation dynamics in arid regions worldwide. This study investigates vegetation dynamics and their links to climate from 1990 to 2020 in Xinjiang, China, using data from 30-m resolution land use and cover change, remote sensing, and climate reanalysis. Our approach encompasses a range of analytical techniques, including transfer matrix analysis, modeling, correlation, regression,and trend analysis. During the study period, there were major vegetation conversions from grassland to forestland in the mountains, and from cropland to grassland in the plains. Climate change emerged as an important trigger of these changes, as evidenced by the increase in net primary productivity in most vegetation types, except for cropland-grassland and grassland-cropland conversions. Precipitation and soil moisture were the most influential climatic factors, contributing 15.1% and 15.2%, respectively, to natural vegetation *** study also found that evapotranspiration serves as a key mechanism for moisture dissipation in the hydrological cycle of vegetation dynamics. The interplay between precipitation,soil moisture, and evapotranspiration is a critical pattern of climatic influence that shapes vegetation dynamics across zones of intersection, increase, decrease, and change. These insights are invaluable for informing vegetation conservation and development strategies in Xinjiang and other similar environments facing climate-driven ecological transitions.

关键词： climate change ecological transitions LUCC NPP efficiency vegetation dynamics Xinjiang

Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)

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Computers, Materials & Continua 2021年第1期66卷 589-602页

作者： sadaf Qazi Muhammad Usman Azhar Mahmood Aaqif Afzaal Abbasi Muhammad Attique Yunyoung Nam Predicitive Analytics Laboratory Shaheed Zulfikar Ali Bhutto Institute of Science and TechnologyIslamabad44000Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Software Sejong UniversitySeoul05006Korea Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

Immunization is a noteworthy and proven tool for eliminating lifethreating infectious diseases,child mortality and *** Program on Immunization(EPI)is a nation-wide program in Pakistan to implement immunization activities,however the coverage is quite low despite the accessibility of free *** study proposes a defaulter prediction model for accurate identification of *** proposed framework classifies defaulters at five different stages:defaulter,partially high,partially medium,partially low,and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization *** machine learning algorithms are applied on Pakistan Demographic and Health Survey(2017–18)*** Perceptron yielded 98.5%accuracy for correctly identifying children who are likely to default from immunization series at different risk stages of being *** this paper,the proposed defaulters’prediction framework is a step forward towards a data-driven approach and provides a set of machine learning techniques to take advantage of predictive ***,predictive analytics can reinforce immunization programs by expediting targeted action to reduce ***,the accurate predictions support targeted messages sent to at-risk parents’and caretakers’consumer devices(e.g.,smartphones)to maximize healthcare outcomes.

关键词： Smart healthcare routine immunization predictive analytics defaulters vaccination machine learning targeted messaging

Biogeochemical evaluation of Nannorrhops ritchiana: A Mg-flora from Khuzdar, Balochistan, Pakistan

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Chinese Journal Of Geochemistry 2005年第4期24卷 327-337页

作者： sadaf Naseem Shahid Naseem Erum Bashir Khaula Shirin Shamim A. Sheikh Department of Geology University of Karachi Karachi 75270 PakistanDepartment of Geology University of Karachi Karachi 75270 PakistanDepartment of Geology University of Karachi Karachi 75270 PakistanPCSIR Laboratories Complex off University Road Karachi PakistanDepartment of Geology University of Karachi Karachi 75270 Pakistan

Nannorrhops ritchiana (Mazari Palm) is a distinctive flora growing in the Saharo-Sindian region. It is well distributed on the ultramafic soil, derived from the Bela Ophiolite in the Khuzdar District, Balochistan, Pakistan. Quantitative estimation of Ca, Mg, Fe and Ni in soil and plant ash has been carried out. The constituents of plant ash have been discussed in relation to soil chemistry, pH, climate, mobility, average abundance in plant ash and exclusion mechanism of the flora. Relationship among Ca, Mg, Fe and Ni has been established using scattergrams to evaluate the biogeochemistry of the plant. High contents of Mg and high coefficient of biological absorption allow it to be classed as Mg-flora. Both Ca and Fe appeared to be antagonistic to Mg. The metal assemblage of N. ritchiana nicely reflected the nature of the bed rock as being serpentinized ultramafic, and its corresponding soils. Good exclusion mechanism of N. ritchiana did not allow it to absorb high Ni from the soil. Relatively high concentrations of Ni in N. ritchiana from the Baran Lak area can be used to localize Ni-mineralization in the study area.; Statistical analyses, such as minimum, maximum, mean, mode, median, standard deviations, and coefficient of correlation, were also made to improve raw geochemical data and interpretations.

关键词：巴基斯坦生物化学超碱土壤土壤化学

Impact of centralization of pancreaticoduodenectomy coupled with fast track recovery protocol:a comparative study from India

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Hepatobiliary & Pancreatic Diseases International 2016年第5期15卷 546-552页

作者： Omar J Shah sadaf A Bangri Manmohan Singh Reyaz A Lattoo Mohammad Y Bhat Feroze A Khan Department of Surgical Gastroenterology Sher-i-Kashmir Institute of Medical Sciences

BACKGROUND: Fast track strategy in the management of patients undergoing intra-abdominal surgery of various types has emerged as a landmark approach to reduce surgical stress and accelerate recovery. This study was to evaluate the effect of fast track strategy on patients subjected to pancreaticoduo-denectomy (PD) from an individual unit during transit from low to a high volume center. METHODS: A total of 142 PD patients who had been subjected to fast track strategy between June 2008 and September 2012 were compared with 46 patients who had received convention-al surgery between January 2006 and May 2008. Comparative analysis was made of postoperative complications, postopera-tive recovery, length of hospital stay and patient readmission requirement. RESULTS: The patients subjected to fast track strategy had a faster recovery and a shorter hospital stay than those who were treated conventionally (7.8 vs 12.1 days). The intraoperative events like operative blood loss (417.9±83.8 vs 997.4 ±151.8 mL, P CONCLUSIONS: This preliminary analysis suggests that the fast track approach might be beneifcial to the well-being of the patients after PD, for it accelerates the immediate clinical recovery of patients and signiifcantly shortens their length of hospital stay.

关键词： fast track recovery pancreaticoduodenectomy

A Smart Heart Disease Diagnostic System Using Deep Vanilla LSTM

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Computers, Materials & Continua 2023年第10期77卷 1251-1279页

作者： Maryam Bukhari sadaf Yasmin Sheneela Naz Mehr Yahya Durrani Mubashir Javaid Jihoon Moon Seungmin Rho Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer Science UET TaxilaTaxilaPakistan Department of AI and Big Data Soonchunhyang UniversityAsanKorea Department of Industrial Security Chung-Ang UniversitySeoul06974Korea

Effective smart healthcare frameworks contain novel and emerging solutions for remote disease diagnostics,which aid in the prevention of several diseases including heart-related *** this context,regular monitoring of cardiac patients through smart healthcare systems based on Electrocardiogram(ECG)signals has the potential to save many *** existing studies,several heart disease diagnostic systems are proposed by employing different state-of-the-art methods,however,improving such methods is always an intriguing area of ***,in this research,a smart healthcare system is proposed for the diagnosis of heart disease using ECG *** proposed framework extracts both linear and time-series information on the ECG signals and fuses them into a single framework *** linear characteristics of ECG signals are extracted by convolution layers followed by Gaussian Error Linear Units(GeLu)and time series characteristics of ECG beats are extracted by Vanilla Long Short-Term Memory Networks(LSTM).Following on,the feature reduction of linear information is done with the help of ID Generalized Gated Pooling(GGP).In addition,data misbalancing issues are also addressed with the help of the Synthetic Minority Oversampling Technique(SMOTE).The performance assessment of the proposed model is done over the two publicly available datasets named MIT-BIH arrhythmia database(MITDB)and PTB Diagnostic ECG database(PTBDB).The proposed framework achieves an average accuracy performance of 99.14%along with a 95%recall value.

关键词： Smart systems deep learning ECG signals heart disease concurrent learning LSTM generalized gated pooling

Strategies to enhance cottonseed oil contents and reshape fatty acid profile employing different breeding and genetic engineering approaches

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Journal of Integrative Agriculture 2019年第10期18卷 2205-2218页

作者： Iram Sharif Jehanzeb Farooq Shahid Munir Chohan sadaf Saleem Riaz Ahmad Kainth Abid Mahmood Ghulam Sarwar Cotton Research Station Faisalabad 38000Pakistan Ayub Agricultural Research Institute Faisalabad 38000Pakistan

Cottonseed oil is the valuable byproduct extracted after seed cotton processing for lint. It confers a huge contribution to total vegetable oil production and ranked the 2nd to meet global edible oil requirements. Over centuries, breeders mainly focused to improve lint production and fiber quality. Now attention has been given to improve the cottonseed oil percentage, its functional and nutritional properties. However, these efforts are less than other major oilseed crops which left cottonseed oil market behind in term of consumer demand and kept cott on seed oil industry at vuln erable positi on. Con siderable progress has been made to alter the relative percentage of fatty acid composition still intensified efforts have been required to meet the global oilseed demand. The objective of this review is to explore the cotton germplasm variation for seed oil carrying potential, its utilization in suitable breeding programs, seed oil biosynthetic pathways, major genes, and QTLs linked to quantity and quality enhancement of oil and deployment of modern genomic tools, viz., gene silencing and transgenic development to ameliorate its nutritional properties.

关键词： biosynthesis edible oil gene silencing oil quality oleic acid stearic acid