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Sepsis during short bowel syndrome hospitalizations:Identifying trends,disparities,and clinical outcomes in the United States

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World Journal of Gastrointestinal Pathophysiology 2024年第1期15卷 26-36页

作者： Dushyant Singh Dahiya Jennifer Wachala Shantanu Solanki Dhanshree Solanki Asim Kichloo Samantha Holcomb Uvesh Mansuri Khwaja Saad Haq Hassam ali Manesh Kumar Gangwani Yash R shah Teresa Varghese Hafiz Muzaffar Akbar Khan Simon Peter Horslen Thomas D Schiano syed-Mohammed Jafri Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Internal Medicine Samaritan Medical CenterWatertownNY 13601United States Division of Gastroenterology Hepatology&Nutrition The University of Texas MD Anderson Cancer CenterHoustonTX 77030United States Department of Medicine Institute for Foreign Medical Graduate EducationHoustonTX 77030United States Department of Internal Medicine MedStar Harbor HospitalBaltimoreMD 21225United States Department of Internal Medicine WellStar Spalding Regional HospitalGriffinGA 30224United States Division of Gastroenterology Hepatology and NutritionEast Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Gastroenterology and Hepatology University of Arkansas for Medical SciencesLittle RockAR 72205United States Department of Internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology SUNY Upstate Medical UniversitySyracuseNY 13210United States Department of Pediatrics School of Medicine and UPMC Children’s Hospital of PittsburghUniversity of PittsburghPittsburghPA 15219United States Division of Liver Diseases Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Division of Gastroenterology and Hepatology Henry Ford HospitalDetroitMI 48202United States

BACKGROUND Short bowel syndrome(SBS)hospitalizations are often complicated with *** is a significant paucity of data on adult SBS hospitalizations in the United States and across the *** To assess trends and outcomes of SBS hospitalizations complicated by sepsis in the United *** The National Inpatient Sample was utilized to identify all adult SBS hospitalizations between *** study cohort was further divided based on the presence or absence of *** were identified,and hospitalization characteristics and clinical outcomes were *** of mortality for SBS hospitalizations complicated with sepsis were *** Of 247097 SBS hospitalizations,21.7%were complicated by *** SBS hospitalizations had a rising trend of hospitalizations from 20.8%in 2005 to 23.5%in 2014(P trendalizations,septic SBS hospitalizations had a higher proportion of males(32.8%vs 29.3%,Palizations had a higher proportion of patients with intestinal transplantation(0.33%vs 0.22%,Pality(8.5%vs 1.4%,Pality for septic SBS *** Septic SBS hospitalizations had a rising trend between 2005-2014 and were associated with higher inpatient mortality compared to non-septic SBS hospitalizations.

关键词： Short bowel syndrome Sepsis Outcomes Mortality Trends

An Energy-Efficient 12b 2.56 MS/s SAR ADC Using Successive Scaling of Reference Voltages

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Computers, Materials & Continua 2022年第7期72卷 2127-2139页

作者： Hojin Kang syed Asmat ali shah HyungWon Kim Department of Electronics Engineering College of Electrical and Computer EngineeringChungbuk National UniversityCheongju28644Korea Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan

This paper presents an energy efficient architecture for successive approximation register(SAR)analog to digital converter(ADC).SAR ADCs with a capacitor array structure have been widely used because of its simple architecture and relatively high ***,conventional SAR ADCs consume relatively high energy due to the large number of capacitors used in the capacitor array and their sizes scaled up along with the number of *** proposed architecture reduces the energy consumption as well as the capacitor size by employing a new array architecture that scales down the reference voltages instead of scaling up the capacitor *** proposed 12-bit SAR ADC is implemented in Complementary Metal Oxide Semiconductor(CMOS)0.13 um library using Cadence Virtuoso design *** results and mathematical model demonstrate the overall energy savings of up to 97.3%compared with conventional SAR ADC,67%compared with the SAR ADC with split capacitor,and 35%compared with the resistor and capacitor(R&C)Hybrid SAR *** ADC achieves an effective number of bits(ENOB)of 11.27 bits and consumes 61.7 uW at sampling rate of 2.56 MS/s,offering an energy consumption of 9.8 fJ per conversion *** proposed SAR ADC offers 95.5%reduction in chip core area compared to conventional architecture,while occupying an active area of 0.088 mm2.

关键词： Low voltage low power successive approximation register analog to digital converter switching energy

Recent advances and emerging trends of rare-earth-ion doped spectral conversion nanomaterials in perovskite solar cells

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Journal of Rare Earths 2022年第11期40卷 1651-1667,I0001页

作者： syed Afaq ali shah Muhammad Hassan Sayyad Jinghua Sun Zhongyi Guo School of Electrical Engineering&Intelligentization Dongguan University of TechnologyDongguan 523808China Advanced Photovoltaic Research Labs(APRL) Faculty of Engineering SciencesGhulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopiDistrictSwabiKhyberPakhtunkhwa23640Pakistan School of Computer and Information Hefei University of TechnologyHefei 2300o9China

Organic-inorganic lead halide based perovskite solar cells(PSCs)have attracted unprecedented research interest over last *** high performance,combined with merits of low fabrication costs and ease of synthesis make PSCs promising alternate to state of the art silicon(Si)based solar *** r,some inherent shortcomings of PSCs are hindering their market dominance over conventional photovoltaic technologies such as transmission loss of sub-bandgap photons,poor stability and hysteresis ***,use of rare earth(RE)ions doped nanomaterials in PSCs,has been identified as an effective means to address the aforementioned issues by expanding the range of absorption spectra minimizing the non-absorption loss of solar photons,enhancing light scattering and improving operational *** article reviews the recent progress in doping rare-earth(RE)ions in the building blocks of PSCs such as semiconductor electrodes and photoactive perovskite layers,and its use as a separate spectral conversion layer in *** effect of size,shape,constitution and concentration of RE-nanoparticles on the overall performance and device stability will be analyzed in ***,we provide an outlook on the opportunities this newly developed field offers and the critical challenges faced in rationally and effectively using RE-ion-doped nanomaterials in PSCs for better operational stability and enhanced performance.

关键词： Efficiency Electron transport layer Photovoltaics Rare-earth(RE) Perovskite solar cells Up/down conversion

Machine learning empowered COVID-19 patient monitoring using non-contact sensing:An extensive review

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Journal of Pharmaceutical Analysis 2022年第2期12卷 193-204页

作者： Umer Saeed syed Yaseen shah Jawad Ahmad Muhammad ali Imran Qammer H.Abbasi syed Aziz shah Research Centre for Intelligent Healthcare Coventry UniversityCoventryCV15FBUK School of Computing Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK School of Computing Edinburgh Napier UniversityEdinburghEH114BNUK James Watt School of Engineering University of GlasgowGlasgowG128QQUK

The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which caused the coronavirus disease 2019(COVID-19)pandemic,has affected more than 400 million people *** the recent rise of new Delta and Omicron variants,the efficacy of the vaccines has become an important *** goal of various studies has been to limit the spread of the virus by utilizing wireless sensing technologies to prevent human-to-human interactions,particularly for healthcare *** this paper,we discuss the current literature on invasive/contact and non-invasive/noncontact technologies(including Wi-Fi,radar,and software-defined radio)that have been effectively used to detect,diagnose,and monitor human activities and COVID-19 related symptoms,such as irregular *** addition,we focused on cutting-edge machine learning algorithms(such as generative adversarial networks,random forest,multilayer perceptron,support vector machine,extremely randomized trees,and k-nearest neighbors)and their essential role in intelligent healthcare ***,this study highlights the limitations related to non-invasive techniques and prospective research directions.

关键词： Artificial intelligence Non-invasive healthcare Machine learning Non-contact sensing COVID-19

Fractional Processing Based Adaptive Beamforming Algorithm

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Computers, Materials & Continua 2023年第7期76卷 1065-1084页

作者： syed Asghar ali shah Tariqullah Jan syed Muslim shah Ruhul Amin Khalil Ahmad Sawalmeh Muhammad Anan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science Northern Border UniversityArar91431Saudi Arabia Department of Software Engineering Alfaisal UniversityRiyadh11533Saudi Arabia

Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.

关键词： Adaptive beamforming adaptive array fractional processing least mean square fractional least mean square

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework

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Chinese Journal of Chemical Engineering 2021年第1期34卷 253-265页

作者： Muhammad Nawaz Abdulhalim shah Maulud Haslinda Zabiri syed ali Ammar Taqvi Alamin Idris Department of Chemical Engineering Universiti Teknologi PETRONAS32610 Bandar Seri IskandarPerakMalaysia Centre of Contaminant Control&Utilization(CenCoU) Universiti Teknologi PETRONAS32610 Bandar Seri IskandarPerakMalaysia Department of Chemical Engineering NED University of Engineering&TechnologyKarachi 75270Pakistan Department of Chemical and Engineering Sciences Karlstad UniversityKarlstadSweden

Process monitoring techniques are of paramount importance in the chemical industry to improve both the product quality and plant *** or incipient irregularities may lead to severe degradation in complex chemical processes,and the conventional process monitoring techniques cannot detect these *** this study to improve the performance of monitoring,an online multiscale fault detection approach is proposed by integrating multiscale principal component analysis(MSPCA) with cumulative sum(CUSUM) and exponentially weighted moving average(EWMA) control *** new Hotelling's T~2 and square prediction error(SPE) based fault detection indices are proposed to detect the incipient irregularities in the process *** performance of the proposed fault detection methods was tested for simulated data obtained from the CSTR system and compared to that of conventional PCA and MSPCA based *** results demonstrate that the proposed EWMA based MSPCA fault detection method was successful in detecting the ***,a comparative study shows that the SPEEWMA monitoring index exhibits a better performance with lower values of missed detections ranging from 0% to 0.80% and false alarms ranging from 0% to 21.20%.

关键词： Chemical process system CSTR Fault detection Multiscale Principal component analysis Process monitoring

Human Behavior Classification Using Geometrical Features of Skeleton and Support Vector Machines

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Computers, Materials & Continua 2019年第8期61卷 535-553页

作者： syed Muhammad Saqlain shah Tahir Afzal Malik Robina khatoon syedSaqlain Hassan Faiz ali shah Department of CS&SE International Islamic UniversityH-10 SectorIslamabad44000Pakistan Department of Management Information Systems Ibn Rushd College of Management SciencesAbhaSaudi Arabia Department of Computer Science Bahria UniversityIslamabad44000Pakistan Institute of Computer Science University of TartuTartuEstonia

Classification of human actions under video surveillance is gaining a lot of attention from computer vision *** this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in *** have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video *** based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal *** proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects *** detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction *** classification task is achieved using binary and multi class support vector *** proposed technique is validated through accuracy,precision,recall and F-measure metrics.

关键词： Human behavior classification segmentation human detection support vector machine

Schools' Flood Emergency Preparedness in Khyber Pakhtunkhwa Province, Pakistan

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International Journal of Disaster Risk Science 2018年第2期9卷 181-194页

作者： Ashfaq Ahmad shah Jingzhong Ye Lu Pan Raza Ullah syed Irshad ali shah shah Fahad Shaista Naz College of Humanities and Development Studies (COHD) China Agriculture University Institute of Agriculture and Resource Economics University of AgricultureFaisalabad Department of Agricultural Economics and Management Zhejiang University College of Economics and Management Northwest A&F University Institute of Development Studies (IDS) The University of Agriculture Peshawar (AUP)

Pakistan is highly exposed to climate-induced disasters, especially floods. Flooding history shows that educational establishments have been disproportionately hard-hit by flooding events. In Pakistan, school safety and preparedness is still a choice, rather than a mandatory requirement for all schools. But schools in Pakistan do have a responsibility to keep safe the students in their care,especially during and after the catastrophic events. This implies the need to maintain the environment in and around school property, so as to minimize the impacts of floods and to have the mechanisms in place to maximize a school's resilience. This study examined the emergency preparedness activities of 20 schools in four districts of Khyber Pakhtunkhwa Province that had recently been severely affected by floods. Through face to face interviews and a structured questionnaire(n = 100) we collected data on the four pillars of emergency preparedness:emergency planning, preparation measures, safe school facilities, and hazard education and training. The study revealed that the majority of the sample schools hadexperienced more than one natural hazard-induced disaster,predominantly flooding, yet despite this had not undertaken adequate emergency preparedness activities. There are particular gaps with regard to plans for students with disabilities, the continuity of school operations after a disaster,the presence of maps to identify evacuation routes, the availability of emergency equipment and resources, disaster preparedness guidelines, and psychological first aid and crisis counseling. The strengths, weaknesses, opportunities,and threats analysis that our researchers carried out indicates that, although schools in the survey have taken many steps towards flood preparedness, many weaknesses still exist and there remain significant opportunities to strengthen the preparedness level of many schools. The goal of this study is to inform policy decisions that improve school safety in Pak

关键词： Emergency preparedness Flood disaster Pakistan School resilience School safety culture

Syzygium aromaticum ethanol extract reduces AlCl_3-induced neurotoxicity in mice brain through regulation of amyloid precursor protein and oxidative stress gene expression

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Asian Pacific Journal of Tropical Medicine 2018年第2期11卷 123-130页

作者： Sanila Amber syed Adnan ali shah Touqeer Ahmed Saadia Zahid Neurobiology Research Laboratory Department of Healthcare BiotechnologyAtta-ur-Rahman School of Applied BiosciencesNational University of Sciences and Technology Atta-ur-Rahman Institute for Natural Product Discovery (AuRIns)Universiti Teknologi MARA Puncak Alam Campus Faculty of Pharmacy Universiti Teknologi MARA Puncak Alam Campus

Objective: To investigate the neuroprotective effects of Syzygium aromaticum(***)extract(500 mg/kg) on AlCl_3(300 mg/kg)-induced mouse model of oxidative stress and ***: An ethanolic extract of *** seeds was prepared and the active compounds were identified using nuclear magnetic resonance ***/c mice were divided into five groups(negative control, AlCl_3-treated, self-recovery, AlCl_3 + ***, *** only; n=10) and treated with AlCl_3 and *** *** of oxidative markers [Superoxide dismutase 1(SOD1) and peroxiredoxin 6(Prdx6)] and amyloid precursor protein(APP) in the hippocampus and cortex was evaluated via *** assessment was performed to investigate the extent of ***: It was observed that AlCl_3 exposure increased the expression of APP770 while simultaneously down regulated the expression of ***_3 also induced a significant decrease(Palized the alterations in the expression level of SOD1, Prdx6 and APPisoforms and improved the neuronal structural ***: The results showed that *** is a promising antioxidant and a neuroprotective agent.

关键词： Amyloid precursor protein Oxidative stress Aluminum Neurodegeneration