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roles of phosphatidylinositol-3-kinases signaling pathway in inflammation-related cancer:Impact of rs10889677 variant and buparlisib in colitis-associated cancer

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World Journal of Gastroenterology 2023年第40期29卷 5543-5556页

作者： Nurul Nadirah razali raja Affendi raja Ali Khairul Najmi Muhammad Nawawi Azyani Yahaya Norshafila Diana mohd rathi Norfilza mohd Mokhtar Department of Physiology Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras 56000Kuala LumpurMalaysia School of Medical and Life Sciences Sunway UniversitySunway City 47500Malaysia GUT research Group Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras 56000Kuala LumpurMalaysia Gastroenterology Unit Department of MedicineFaculty of MedicineUniversiti Kebangsaan MalaysiaCheras 56000Kuala LumpurMalaysia Department of Pathology Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras 56000Kuala LumpurMalaysia

BACKGrOUND Phosphatidylinositol-3-kinases(PI3K)is a well-known route in inflammationrelated *** discovery on PI3K-related genes revealed a potential variant that links ulcerative colitis(UC)and colorectal cancer(CrC)with colitisassociated cancer(CAC).PI3K/AKT pathway has been recommended as a potential additional therapeutic option for CrC due to its substantial role in modifying cellular *** is a pan-class I PI3K inhibitor previously shown to reduce tumor *** To investigate the regulation of rs10889677 and the role of buparlisib in the PI3K signaling pathway in CAC *** Genomic DNA from 32 colonic samples,including CAC(n=7),UC(n=10)and CrC(n=15),was sequenced for the rs10889677 *** mutant and wildtype fragments were amplified and cloned in the pmirGLO *** luciferase activity of cloned vectors was assessed after transfection into the HT29 cell *** mice were induced by a mixture of a single azoxymethane injection and three cycles of dextran sulphate sodium,then buparlisib was administered after 14 *** excised colon was subjected to immunohistochemistry for Ki67 and Cleaved-caspase-3 markers and quantitative real-time polymerase chain reaction analysis for Pdk1 and *** Luciferase activity decreased by 2.07-fold in the rs10889677 mutant,confirming the hypothesis that the variant disrupted mirNA binding sites,which led to an increase in IL23r expression and the activation of the PI3K signaling ***,CAC-induced mice had a significantly higher disease activity index(Prlisib treatment significantly decreased mean weight loss in CAC-induced mice(Preduced the percentage of proliferating cells by 5%,and increased the number of apoptotic *** treatment also caused a downward trend of Pdk1 expression and significantly decreased Sgk2 *** Our findings suggested that the rs10889677 variant as a critical initiator of the PI3K signaling pathway,an

关键词： Colitis-associated cancer Colorectal cancer Phosphatidylinositol 3-kinase Animal model Luciferases renilla Phosphatidylinositol 3-kinase inhibitor

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Advances in healthcare wearable devices

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npj Flexible Electronics 2021年第1期5卷 73-86页

作者： sheikh M.A.Iqbal Imadeldin Mahgoub E Du Mary Ann Leavitt Waseem Asghar Department of Computer and Electrical Engineering&Computer Science Florida Atlantic UniversityBoca RatonFLUSA Asghar-Lab Micro and Nanotechnology in MedicineCollege of Engineering and Computer ScienceBoca RatonFLUSA Department of Ocean and Mechanical Engineering Florida Atlantic UniversityBoca RatonFLUSA Christine E.Lynn College of Nursing Florida Atlantic UniversityBoca RatonFLUSA Department of Biological Sciences(Courtesy appointment) Florida Atlantic UniversityBoca RatonFLUSA

Wearable devices have found numerous applications in healthcare ranging from physiological diseases,such as cardiovascular diseases,hypertension and muscle disorders to neurocognitive disorders,such as Parkinson’s disease,Alzheimer’s disease and other psychological *** types of wearables are used for this purpose,for example,skin-based wearables including tattoobased wearables,textile-based wearables,and biofluidic-based ***,wearables have also shown encouraging improvements as a drug delivery system;therefore,enhancing its utility towards personalized *** wearables contain inherent challenges,which need to be addressed before their commercialization as a fully personalized healthcare *** paper reviews different types of wearable devices currently being used in the healthcare *** also highlights their efficacy in monitoring different diseases and applications of healthcare wearable devices(HWDs)for diagnostic and treatment ***,current challenges and limitations of these wearables in the field of healthcare along with their future perspectives are also reviewed.

关键词： wear healthcare challenges

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Water Quality Index Using Modified random Forest Technique: Assessing Novel Input Features

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Computer Modeling in Engineering & Sciences 2022年第9期132卷 1011-1038页

作者： Wen Yee Wong Ayman Khallel Ibrahim Al-Ani Khairunnisa Hasikin Anis Salwa mohd Khairuddin Sarah Abdul razak Hanee Farzana Hizaddin mohd Istajib Mokhtar Muhammad Mokhzaini Azizan Department of Biomedical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Institute of Biological Sciences Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Chemical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Science and Technology Studies Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering and Built EnvironmentUniversiti Sains Islam MalaysiaBandar Baru NilaiNilaiNegeri Sembilan71800Malaysia

Water quality analysis is essential to understand the ecological status of aquatic *** water quality index(WQI)assessment methods are limited to features such as water acidic or basicity(pH),dissolved oxygen(DO),biological oxygen demand(BOD),chemical oxygen demand(COD),ammoniacal nitrogen(NH3-N),and suspended solids(SS).These features are often insufficient to represent the water quality of a heavy metal–polluted ***,this paper aims to explore and analyze novel input features in order to formulate an improved *** this work,prospective insights on the feasibility of alternative water quality input variables as new discriminant features are *** new discriminant features are a step toward formulating adaptive water quality parameters according to the land use activities surrounding the *** results and analysis obtained from this study have proven the possibility of predicting WQI using new input *** work analyzes 17 new input features,namely conductivity(COND),salinity(SAL),turbidity(TUr),dissolved solids(DS),nitrate(NO3),chloride(Cl),phosphate(PO4),arsenic(As),chromium(Cr),zinc(Zn),calcium(Ca),iron(Fe),potassium(K),magnesium(Mg),sodium(Na),***,and total coliform,in predicting WQI using machine learning *** regression algorithms-random forest(rF),AdaBoost,support vector regression(SVr),decision tree regression(DTr),and multilayer perception(MLP)-are applied for preliminary model *** results show that the rF algorithm exhibits better prediction performance,with r2 of ***,this work proposes a modified rF by incorporating the synthetic minority oversampling technique(SMOTE)into the conventional rF *** proposed modified rF method is shown to achieve 77.68%,74%,69%,and 71%accuracy,precision,recall,and F1-score,*** addition,the sensitivity analysis is included to highlight the importance of the turbidity variable in WQI *** results of sensitivity analysis high

关键词： Artificial intelligence random forest environmental modeling alternative inputs SMOTE

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A Parametric Study of Mesh Free Interpolation Based recovery Techniques in Finite Element Elastic Analysis

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Computer Modeling in Engineering & Sciences 2019年第11期121卷 687-786页

作者： mohd.Ahmed Mohamed Hechmi El Ouni Devinder Singh Nabil Ben Kahla College of Engineering Main CampusGregarK.K.UniversityAbha61421KSA Minitry of Information Soochan BhavanCGO ComplexDelhi110003India

The paper presents a parametric study on interpolation techniques based postprocessed error estimation in finite element elastic analysis by varying important parameters of recovery,interpolation scheme and type of patch *** quality of error estimation with recovery parameters is compared in terms of local and global effectivity of error estimation,rate of error convergence,and adaptively refined meshes.A mesh free moving least square interpolation technique with proven reliability and effectivity is introduced for improving the recovery of finite element solution *** post-processed finite element solutions of elastic problems are presented for performance study under different parameters of recovery *** study concludes that recovery parameters of interpolation method have pronounced effect on the recovery of finite element solution error and analysis in adaptive environment.

关键词： Effectivity error norm moving least square interpolation least square interpolation recovery techniques

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Blockchain technology applications for Industry 4.0:A literature-based review

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Blockchain(research and Applications) 2021年第4期2卷 1-11页

作者： mohd Javaid Abid Haleem ravi Pratap Singh Shahbaz Khan rajiv Suman Department of Mechanical Engineering Jamia Millia IslamiaNew Delhi110025India Department of Industrial and Production Engineering Dr B R Ambedkar National Institute of TechnologyJalandharPunjab144011India Institute of Business Management GLA UniversityMathuraUttar Pradesh281406India Department of Industrial&Production Engineering Govind Ballabh Pant University of Agriculture&TechnologyPantnagarUttarakhand263145India

Industry 4.0 involves innovations with upcoming digital technologies,and blockchain is one of *** can be incorporated to improve security,privacy,and data transparency both for small and large *** 4.0 is a synthesis of the new production methods that allow manufacturers to achieve their target more *** has been conducted on various Industry 4.0 technologies like Artificial Intelligence(AI),Internet of Things(IoT),Big data,and Blockchain,and how they could create significant interruptions in recent *** technologies provide various possibilities in the world of manufacturing and supply *** is a technology that has gained much recognition and can enhance the manufacturing and supply chain *** fields now have fascinating insights into the advantages of *** research articles on“Blockchain”and“Industry 4.0”from Google Scholar,Scopus,and other relevant sources are identified and reviewed for this *** paper discusses the major potential of Blockchain in Industry *** drivers,enablers,and associated capabilities of Blockchain technology for Industry 4.0 are discussed for *** Industry 4.0 spheres/sub-domains for Blockchain technology realisation are also ***,we have identified and studied fourteen significant applications of Blockchain in Industry *** is a range of new developments and hope for immense opportunities that are changing Industry *** technology would work to achieve amplified outcomes and work individually to enhance the process.

关键词： Blockchain Industry 4.0 Information Data storage Manufacturing

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Novel extended C-m models of flow stress for accurate mechanical and metallurgical calculations and comparison with traditional flow models

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Journal of Magnesium and Alloys 2022年第9期10卷 2516-2533页

作者： Man Soo Joun mohd Kaswandee razali Jae Dong Yoo Min Cheol Kim Jeong Muk Choi reCAFT Gyeongsang National UniversityGraduate School of Mechanical and Aerospace EngineeringJinju 52828South Korea Gyeongsang National University Graduate School of Mechanical and Aerospace EngineeringJinju 52828South Korea MFrC Research CenterJinju 52818South Korea Jinhap Daejeon 34302South Korea

Here,we developed novel extended piecewise bilinear power law(C-m)models to describe flow stresses under broad ranges of strain,strain rate,and temperature for mechanical and metallurgical calculations during metal forming at elevated *** traditional C-m model is improved upon by formulating the material parameters C and m,defined at sample strains and temperatures as functions of the strain *** coefficients are described as a linear combination of the basis functions defined in piecewise patches of the sample strain and temperature domain.A comparison with traditional closed-form function flow models revealed that our approach using the extended piecewise bilinear C-m model is superior in terms of accuracy,ease of use,and adaptability;additionally,the extended C-m model was applicable to numerical analysis of mechanical,metallurgical,and microstructural ***,metallurgy-related values can be calculated directly from the flow stress *** the proposed model was developed for materials at elevated temperatures,it can be applied over a broad temperature range.

关键词： Flow stress Power law model Piecewise bilinear function Numerical analysis Microstructural prediction Peak strain

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Some New Inequalities for Wavelet Frames on Local Fields

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Analysis in Theory and Applications 2017年第2期33卷 134-148页

作者： Firdous A.Shah Owais Ahmad Neyaz A.sheikh Department of Mathematics University of Kashmir South Campus Department of Mathematics National Institute of Technology

Wavelet frames have gained considerable popularity during the past decade, primarily due to their substantiated applications in diverse and widespread fields of science and engineering. Finding general and verifiable conditions which imply that the wavelet systems are wavelet frames is among the core problems in time-frequency analysis. In this article, we establish some new inequalities for wavelet frames on local fields of positive characteristic by means of the Fourier transform. As an application, an improved version of the Li-Jiang inequality for wavelet frames on local fields is obtained.

关键词： Frame inequalities wavelet frame local field Fourier transform.

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Artificial neural network simulation for prediction of suspended sediment concentration in the river ramganga,Ganges Basin,India

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International Journal of Sediment research 2019年第2期34卷 95-107页

作者： mohd Yawar Ali Khan Fuqiang Tian Faisal Hasan Govind Joseph Chakrapani Institute of Hydrology and Water resources Department of Hydraulic EngineeringSchool of Civil EngineeringTsinghua University Department of Earth Sciences Indian Institute of Technology Roorkee Department of Mechanical Engineering Aligarh Muslim University

The relation between the water discharge(Q) and suspended sediment concentration(SSC)of the river ramganga at Bareilly,Uttar Pradesh,in the Himalayas,has been modeled using Artificial Neural Networks(ANNs).The current study validates the practical capability and usefulness of this tool for simulating complex nonlinear,real world,river system processes in the Himalayan *** modeling approach is based on the time series data collected from January to December(2008-2010)for Q and *** ANNs(T1-T3)with different network configurations have been developed and trained using the Levenberg Marquardt Back Propagation Algorithm in the Matlab *** were optimized using the enumeration technique,and,finally,the best network is used to predict the SSC values for the year *** values thus obtained through the ANN model are compared with the observed values of *** coefficient of determination(r2),for the optimal network was found to be *** study not only provides insight into ANN modeling in the Himalayan river scenario,but it also focuses on the importance of understanding a river basin and the factors that affect the SSC,before attempting to model *** the temporal variations in the study area,it is possible to model and successfully predict the SSC values with very simplistic ANN models.

关键词： ANN Water discharge Suspended sediment concentration prediction ramganga river Himalayas

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Effect of rGO support on Gd@ZnO for UV-visible-light driven photocatalytic organic pollutant degradation

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Journal of rare Earths 2023年第10期41卷 1525-1531,I0002页

作者： Baskaran Palanivel Md Shahadat Hossain romulo r.Macadangdang Jr. S.Sahaya Jude Dhas Abdullah M.Al-Enizi mohd Ubaidullah Woo Kyoung Kim Sreedevi Gedi S.Ignatius Arockiam Department of Physics Kings Engineering CollegeSriperumbudurKancheepuram602117Tamil NaduIndia Department of Innovation Systems Engineering Graduate School of EngineeringUtsunomiya UniversityYoto 7-1-2Utsunomiya 321-8585Japan College of Allied Health National UniversityManila1008Philippines Department of Chemistry College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia School of Chemical Engineering Yeungnam UniversityGyeongsan38541Republic of Korea PG and research Department of Chemistry GTN Arts CollegeDindigul624005Tamil NaduIndia

In this manuscript,we report the hydrothermally prepared rGO/Gd@ZnO nanocomposite for the utilization of photocatalytic rh B(rhodamine B)dye *** required characterization techniques were carried out to analyse the structural,morphological,chemical,environmental and optical behaviour of the prepared *** efficiency of the prepared nanoparticles was studied by rh B dye degradation upon UV-Vis-light illumination which reveals that composite catalyst degrades the dye molecule about 91%after 40 min of *** comparing the higher degradation efficiency of the rGO/Gd@ZnO nanocomposite with that of ZnO and Gd doped ZnO,it reveals a greater reduction of charge carriers'recombination,higher visible-light utilization and higher adsorption *** trapping experiment and recycling test were conducted to study the influence of active radicals for the degradation reaction and to know the stability of the prepared nanocomposite,***,this rGO supported Gd doped ZnO nanocomposite can provide a new path way in preparing a highly efficient photocatalyst for organic pollutant degradation at large.

关键词： rGO Gd doped ZnO UV-Vis photocatalyst Dye degradation rare earths

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Culture and identification of neonatal rat brain-derived neural stem cells

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World Journal of Stem Cells 2023年第6期15卷 607-615页

作者： Qing-Zhong Zhou Xiao-Lan Feng Xu-Feng Jia Nurul Huda Binti mohd Nor mohd Hezery Bin Harun Da-Xiong Feng Wan Aliaa Wan Sulaiman Department of Orthopedics The Affiliated Hospital of Southwest Medical UniversityLuzhou 646000Sichuan ProvinceChina Department of Neurology Faculty of Medicine and Health SciencesUniversiti Putra MalaysiaSerdang 43400SelangorMalaysia Department of radiology The Affiliated Hospital of Southwest Medical UniversityLuzhou 646000Sichuan ProvinceChina Department of Orthopedics The Peoples’Hospital of Jianyang CityJianyang 641400Sichuan ProvinceChina Department of Human Anatomi Faculty of Medicine and Health SciencesUniversiti Putra MalaysiaSerdang Selangor43400Malaysia Department of Orthopedics Faculty of Medicine and Health SciencesUniversiti Putra MalaysiaSerdang 43400SelangorMalaysia

BACKGrOUND Timing of passaging,passage number,passaging approaches and methods for cell identification are critical factors influencing the quality of neural stem cells(NSCs)*** to effectively culture and identify NSCs is a continuous interest in NSCs study while these factors are comprehensively *** To establish a simplified and efficient method for culture and identification of neonatal rat brain-derived *** First,curved tip operating scissors were used to dissect brain tissues from new born rats(2 to 3 d)and the brain tissues were cut into approximately 1 mm^(3)*** the single cell suspension through a nylon mesh(200-mesh)and culture the sections in *** was conducted with TrypLTM Express combined with mechanical tapping and pipetting ***,identify the 5th generation of passaged NSCs as well as the revived NSCs from *** incorporation method was used to detect self-renew and proliferation capabilities of *** NSCs specific antibodies(anti-nestin,NF200,NSE and GFAP antibodies)were used to identify NSCs specific surface markers and muti-differentiation capabilities by immunofluorescence *** Brain derived cells from newborn rats(2 to 3 d)proliferate and aggregate into spherical-shaped clusters with sustained continuous and stable *** BrdU was incorporated into the 5th generation of passaged cells,positive BrdU cells and nestin cells were observed by immunofluorescence *** induction of dissociation using 5%fetal bovine serum,positive NF200,NSE and GFAP cells were observed by immunofluorescence *** This is a simplified and efficient method for neonatal rat brain-derived neural stem cell culture and identification.

关键词： Neonatal rats Brain-derived neural stem cells Culture Identification

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