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Early versus delayed necrosectomy in pancreatic necrosis:A population-based cohort study on readmission,healthcare utilization,and in-hospital mortality

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World Journal of Methodology 2024年第3期14卷 55-67页

作者： Hassam Ali Faisal Inayat Vinay Jahagirdar Fouad Jaber Arslan Afzal Pratik Patel Hamza Tahir muhammad Sajeel Anwar Attiq Ur Rehman muhammad sarfraz Ahtshamullah Chaudhry Gul Nawaz Dushyant Singh Dahiya Amir H Sohail muhammad Aziz Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine University of Missouri-Kansas CityKansas CityMO 64108United States Division of Gastroenterology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnson CityNY 13790United States Division of Gastroenterology and Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Division of Gastroenterology Hepatologyand MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Division of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Acute necrotizing pancreatitis is a severe and life-threatening *** poses a considerable challenge for clinicians due to its complex nature and the high risk of *** minimally invasive and open necrosectomy procedures have been *** advancements in treatment modalities,the optimal timing to perform necrosectomy lacks *** To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United *** A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions *** with non-elective admissions for pancreatic necrosis were *** participants were divided into two groups based on the necrosectomy timing:The early group received intervention within 48 hours,whereas the delayed group underwent the procedure after 48 *** various intervention techniques included endoscopic,percutaneous,or surgical *** major outcomes of interest were 30-day readmission rates,healthcare utilization,and inpatient *** A total of 1309 patients with pancreatic necrosis were *** propensity score matching,349 cases treated with early necrosectomy were matched to 375 controls who received delayed *** early cohort had a 30-day readmission rate of 8.6% compared to 4.8%in the delayed cohort(P=0.040).Early necrosectomy had lower rates of mechanical ventilation(2.9%vs 10.9%,P<0.001),septic shock(8%vs 19.5%,P<0.001),and in-hospital mortality(1.1%vs 4.3%,P=0.01).Patients in the early intervention group incurred lower healthcare costs,with median total charges of $52202 compared to$147418 in the delayed *** in the early cohort also had a relatively shorter median length of stay(6 vs 16 days,P<0.001).The timing of necrosectomy did not significantly influence the risk of 30-day readmission,with a hazard ratio of 0.56(95%confidence interval:0.31-1.02,P=0.06).CONCLUSION Our findings show that

关键词： Acute necrotizing pancreatitis Pancreatic necrosis Early necrosectomy Delayed necrosectomy Readmission,Healthcare costs Mortality

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Assessment of parameters effectiveness in the reserve estimation methods applicable to coal bed methane reservoirs

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Petroleum Research 2023年第1期8卷 44-53页

作者： Farzain Ud Din Kirmani Arshad Raza muhammad sarfraz Akram Raoof Gholami Institute of Energy and Environmental Engineering University of the PunjabLahorePakistan Department of Petroleum and Gas Engineering University of Engineering and TechnologyLahorePakistan Department of Petroleum Engineering King Fahd University of Petroleum and MineralsSaudi Arabia Department of Energy Resources University of StavangerStavangerNorway

The reserve estimation of coal bed methane(CBM)reservoirs is ascertained through the analytical methods(volumetric method,material balance equation and decline curve analysis).However,the adoption of reserve estimation methods depends on exploration stage and availability of the required *** study deals with the analytical assessment of parameters that participate in effecting the reserve estimation of CBM reservoirs through the analytical *** accurate measurement challenges always exist for the parameters which participate in the reserve estimation of the conventional and unconventional reservoirs because of the inclusion of limitations while ***,the impact of that measurement challenge must be *** study specifies the impact of parametric change on the reserve estimation of CBM reservoirs so that the degree of parametric effectiveness is *** values are adopted which are associated during the evaluation of input parameters for each method to determine the overall impact on potential of CBM *** reveal that change in specific parameters considering each method provide relatively more effect on estimation of ***,the measurement of parameters must be done accurately for assessing reserves of CBM reservoirs based on available methods.

关键词： Reserve estimation Coal bed methane Parameters effectiveness Analytical methods Numerical simulation

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Water-stable ZIF-300/Ultrason? mixed-matrix membranes for selective CO_2 capture from humid post combustion flue gas

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Chinese Journal of Chemical Engineering 2018年第5期26卷 1012-1021页

作者： muhammad sarfraz M. Ba-Shammakh Department of Polymer and Process Engineering University of Engineering and Technology Lahore 54890 Pakistan Department of Chemical Engineering King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia

Water stable mixed-matrix membranes(MMMs) were developed to help control the global warming by capturing and sequestrating carbon dioxide(CO_2) from post-combustion flue gas originated from burning of fossil *** of different compositions were prepared by doping glassy polymer Ultrason? S 6010(US) with nanocrystals of zeolitic imidazolate frameworks(ZIF-300) in varying degrees. Solution-casting technique was used to fabricate various MMMs to optimize their CO_2 capturing performance from both dry and wet gases. The prepared composite membranes indicated enhanced filler-polymer interfacial adhesion, consistent distribution of nanofiller, and thermally established matrix configuration. CO_2 permeability of the membranes was enhanced as demonstrated by gas sorption and permeation experiments performed under both dry and wet conditions. As compared to neat Ultrason? membrane, CO_2 permeability of the composite membrane doped with 40 wt% ZIF-300 nanocrystals was increased by four times without disturbing CO_2/N_2 ideal selectivity. In contrast to majority of previously reported membranes, key features of the fabricated MMMs include their structural stability under humid conditions coupled with better and unaffected gas separation performance.

关键词：烟道气体混合矩阵 CO2 燃烧潮湿马厩膜柱子

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Neural stem cell-based in vitro bioassay for the assessment of neurotoxic potential of water samples

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Journal of Environmental Sciences 2021年第3期33卷 72-86页

作者： muhammad Irfan Masood Natalie Tamara Hauke muhammad Jawad Nasim muhammad sarfraz Mahrukh Naseem Karl Herbert Schäfer Division of Bioorganic Chemistry School of PharmacySaarland UniversityD-66123 SaarbrückenGermany Applied Life Sciences University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany ENS Group University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany Abwasserverband Bergstrasse Altau 1069469 WeinheimGermany Institute of Pharmaceutical Sciences University of Veterinary and Animal Sciences54000 LahorePakistan Department of Zoology University of BalochistanQuetta 87550Pakistan

Intensive agriculture activities,industrialization and growing numbers of wastewater treatment plants along river banks collectively contribute to the elevated levels of neurotoxic pollutants in natural water reservoirs across *** established an in vitro bioassay based upon neural stem cells isolated from the subventricular zone of the postnatal mouse to evaluate the neurotoxic potential of raw wastewater,treated sewage effluent,groundwater and drinking *** toxic potential of water samples was evaluated employing viability,proliferation,differentiation and migration *** found that raw wastewater could reduce the viability and proliferation of neural stem cells,and decreased the neuronal and astrocyte differentiation,neuronal neurite growth,astrocyte growth and cell *** sewage water also showed inhibitory effects on cell proliferation and *** results indicated that relatively high concentrations of nitrogenous substances,pesticides,mercuric compounds,bisphenol-A,and phthalates,along with some other pollutants in raw wastewater and treated sewage water,might be the reason for the neuroinhibitory effects of these water *** model successfully predicted the neurotoxicity of water samples collected from different sources and also revealed that the incomplete removal of contaminants from wastewater can be problematic for the developing nervous *** presented data also provides strong evidence that more effective treatments should be used to minimize the contamination of water before release into major water bodies which may be considered as water reservoirs for human usage in the future.

关键词： Neural stem cells Subventricular zone Neurotoxicity Bioassay Treated sewage effluents Pesticides

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Near real-time characterisation of urban environments: a holistic approach for monitoring dengue fever risk areas

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International Journal of Digital Earth 2014年第11期7卷 916-934页

作者： muhammad Shahzad sarfraz Nitin Kumar Tripathi Asanobu Kitamoto Department of Computer Science COMSATS Institute of Information Technology(CIIT)AbbottabadPakistan Remote Sensing and GIS Asian Institute of Technology(AIT)BangkokThailand Digital Content and Media Sciences Research Division National Institute of Informatics(NII)TokyoJapan

Despite frequent use of digital devices in everyday life,cost-effective measurement of public health issues in urban areas is still *** study was,therefore,planned to extract land-use types using object-based and spatial metric approaches to explore the dengue incidence in relation to the surrounding environment in near real-time using Google and Advanced Land Observation Satellite *** characterised image showed useful classification of an urban areawith 77%accuracy and 0.68 *** analysis on public health data indicated that most of the dengue cases were found in densely populated areas surrounded by dense *** living in independent houses having sparsely vegetated surroundings were found to be less *** incidence was more prevalent in people of 5-24 years of age(67%);while in terms of occupation,mostly students,the unemployed,labourers and farmers(88%)were *** general,males were affected slightly more(10%)than *** analyses indicated that most of the dengue cases were around institutions(40%),religious places(18%)and markets(15%).Thus,usage of Digital Earth scalable tools for monitoring health issues would open new ways for maintaining a healthy and sustainable society in the years ahead.

关键词： dengue fever land-use land-cover monitoring dengue risk urban environment object-based classification

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Multi Sensor-Based Implicit User Identification

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Computers, Materials & Continua 2021年第8期68卷 1673-1692页

作者： muhammad Ahmad Rana Aamir Raza Manuel Mazzara Salvatore Distefano Ali Kashif Bashir Adil Khan muhammad Shahzad sarfraz muhammad Umar Aftab Department of Computer Science National University of Computer and Emerging SciencesChiniot35400Pakistan Department of Computer Science Bahauddin Zakariya UniversityMultan66000Pakistan Institute of Software Development and Engineering Innopolis UniversityInnopolis420500Russia Dipartimento di Matematica e Informatica—MIFT University of MessinaMessina98121Italy Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK

Smartphones have ubiquitously integrated into our home and work environments,however,users normally rely on explicit but inefficient identification processes in a controlled ***,when a device is stolen,a thief can have access to the owner’s personal information and services against the stored *** a result of this potential scenario,this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors.A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency domain features,then further optimized using a non-linear unsupervised feature selection *** selected features create an underlying gait biometric representation able to discriminate among individuals and identify them *** classifiers are adopted to achieve accurate legitimate user *** experiments on a group of 16 individuals in an indoor environment show the effectiveness of the proposed solution:with 5 to 70 samples per window,KNN and bagging classifiers achieve 87–99%accuracy,82–98%for ELM,and 81–94%for *** proposed pipeline achieves a 100%true positive and 0%false-negative rate for almost all classifiers.

关键词： Sensors smartphone legitimate user identification

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Intelligent Approaches for Vectorizing Image Outlines

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Journal of Software Engineering and Applications 2012年第12期5卷 78-83页

作者： muhammad sarfraz Department of Information Science Kuwait University Adailiya Campus P.O. Box 5969 Safat 13060 Kuwait

Two computing approaches, based on linear and conic splines, are proposed here in reviewed and extended for vectorizing image outlines. Both of the approaches have various phases including extracting outlines of images, detecting corner points from the detected outlines, and curve fitting. Interpolation splines are the bases of the two approached. Linear spline approach is straight forward as it does not have a degree of *** terms of some shape controller in its description. However, the idea of the soft computing approach, namely simulated annealing, has been utilized for conic splines. This idea has been incorporated to optimize the shape parameters in the description of the generalized conic spline. Both of the linear and conic approaches ultimately produce optimal results for the approximate vectorization of the digital contours obtained from the generic shapes.

关键词： Imaging soft computing vectorization corner points curve fitting

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Al3+ doped CeO2 for proton conducting fuel cells

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2253-2262页

作者： sarfraz Shahzad Rasool muhammad Khalid M.A.K.Yousaf Shah Bin Zhu Jung-Sik Kim muhammad Imran Asghar Nabeela Akbar Wenjing Dong Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology/Energy Storage joint Research Center School of Energy and Environment Southeast University Sino-French Engineer School/School of General Engineering Beihang University Renewable Energy Technologies Group Faculty of Engineering and Natural Sciences Tampere University School of Microelectronics Hubei University

Developing high ionic conducting electrolytes is crucial for applying proton-conducting fuel cell （PCFCs） *** current study investigates the effect of alumina on the structural,morphological,electrical,and electrochemical properties of *** oxygen vacancies are induced in CeO2by a general doping concept that enables fast ionic conduction at low-temperature ranges（300–500°C） for *** refinement of the X-ray diffraction （XRD） patterns established the pure cubic fluorite structure of Aldoped CeO2（ADC） samples and confirmed Al ions’fruitful integration in the *** electronic structure of the alumina-doped ceria of the materials （10ADC,20ADC,and 30ADC） has been *** a result,it was found that the best composition of 30ADC-based electrolytes induced maximum lattice oxygen *** corresponding PCFC exhibited a maximum power output of 923 mW/cm2at 500°***,the investigation proves the proton-conducting ability of alumina-doped ceria-based fuel cells by using an oxide ion-blocking layer.

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Platinum complexes of curcumin delivered by dual-responsive polymeric nanoparticles improve chemotherapeutic efficacy based on the enhanced anti-metastasis activity and reduce side effects

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Acta Pharmaceutica Sinica B 2020年第6期10卷 1106-1121页

作者： Yan Chen Chen Chen Xiaojuan Zhang Chuanchuan He Pengxuan Zhao Minsi Li Ting Fan Ruicong Yan Yao Lu Robert J.Lee muhammad Waseem Khan muhammad sarfraz Xiang Ma Tan Yang Guangya Xiang School of Pharmacy Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China College of Pharmacy the Ohio State UniversityColumbusOH 43210USA

Platinum-based chemotherapy is used for non-small cell lung cancer(NSCLC).However,it has side effects and minimum efficacy against lung cancer *** this study,platinum-curcumin complexes were loaded into pH and redox dual-responsive nanoparticles(denoted as Pt-CUR@PSPPN)to facilitate intracellular release and synergistic anti-cancer ***-CUR@PSPPN was prepared by a nano-precipitation method and had a diameter of^100 *** nanoparticles showed increased anticancer effects both in vivo and in *** addition,Pt-CUR@PSPPN blocked PI3K/AKT signal transduction pathway and inhibited MMP2 and VEGFR2,resulting in enhanced anti-metastatic ***,reduced side effects were also *** conclusion,Pt-CUR@PSPPN provided a novel and attractive therapeutic strategy for NSCLC.

关键词： Platinum Curcumin Complex Nanoparticles Non-small cell lung cancer Anti-metastasis Drug delivery

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基于LSTM和ANN方法的短期风速预测

基于LSTM和ANN方法的短期风速预测

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作者： sarfraz muhammad 华北电力大学(北京)

学位级别：硕士

在可再生能源中,风力发电被认为是一种重要的清洁能源,是发展最快的可再生能源发电形式,这也是风能在最新研究中引起众多研究人员关注的原因。然而,由于风力发电具有随机性、非线性等特点,风力发电机组的功率预测是一项令人深思的工作... 详细信息

在可再生能源中,风力发电被认为是一种重要的清洁能源,是发展最快的可再生能源发电形式,这也是风能在最新研究中引起众多研究人员关注的原因。然而,由于风力发电具有随机性、非线性等特点,风力发电机组的功率预测是一项令人深思的工作。随着现代工业的发展,对经营、管理和合理利用风电的要求在过去几年一直受到关注。非线性和随机性的电力生产模式使得风电的规划非常具有挑战性。这背后的原因有许多,本文强调的因素是相对湿度、风(压力、速度、方向);也就是风力涡轮的物理部分。因此,本文的主要研究目标是建立智能技术,以便从不稳定的风能资源中推测未来的功率评估。从这个问题的重要性和严重性来看,准确预测风力发电的功率对于稳定有效地建立电网站以实现平稳供电具有紧迫性。为此,在区间预测和时间序列预测中引入了各种猜测原型,并利用风流量等主要驱动因子进行了检验,这些猜测原型大多是随机的、不均匀的。目前的风电功率预测模型主要集中在神经网络的部署上,神经网络能够很好地适应风速变化的区间和时间序列。相反,这些模型无法同时有效地预测风电场的整个时间序列数据。在这些模型中,融合不同的技术的概念化混合模型在过去的研究中被讨论。为了达到有效可靠地进行风能外推的目的,本文以LSTM和ANN两种模型为例,通过扩展不同的统计指标和区间指标,对两种神经网络构造的算法进行了探索,以保证最终的方法达到目的。结果表明,LSTM 比 ANN具有更高的估计精度,而且计算量小,即使它也实现了精确的预测结果,因此LSTM更受欢迎。

关键词：风力预测 LSTM(长-短期记忆) 可再生能源风力发电量预测人工神经网络

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