检索结果-南通市图书馆

Glucokinase regulatory protein rs780094 polymorphism is associated with type 2 diabetes mellitus, dyslipidemia, non-alcoholic fatty liver disease, and nephropathy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Diabetes 2024年第5期15卷 814-817页

作者： ashraf al Madhoun Department of Genetics and Bioinformatics Dasman Diabetes InstituteDasman 15400Kuwait

In this editorial,we comment on the article by Liu et al published in the recent issue of the World Journal of Diabetes(Relationship between GCKR gene rs780094 polymorphism and type 2 diabetes with albuminuria).Type 2 diabetes mellitus(T2DM)is a chronic disorder characterized by dysregulated glucose *** persistent elevated blood glucose level in T2DM significantly increases the risk of developing severe complications,including cardiovascular disease,re-tinopathy,neuropathy,and nephropathy.T2DM arises from a complex interplay between genetic,epigenetic,and environmental *** genomic studies have identified numerous genetic variations associated with an increased risk of ***,variations within the glucokinase regulatory protein(GCKR)gene have been linked to heightened susceptibility to T2DM and its associated *** clinical trial by Liu et al further elucidates the role of the GCKR rs780094 polymorphism in T2DM and nephropathy *** findings demonstrate that individuals carrying the CT or TT genotype at the GCKR rs780094 locus are at a higher risk of developing T2DM with albuminuria compared to those with the CC *** findings highlight the importance of genetic testing and risk assessment in T2DM to develop effective preventive strategies and personalized treatment plans.

关键词： Glucokinase regulatory protein rs780094 Type 2 diabetes mellitus Dyslipidemia non-alcoholic fatty liver disease nephropathy

Teneligliptin:A potential therapeutic approach for diabetic cardiomyopathy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Diabetes 2024年第8期15卷 1654-1658页

作者： ashraf al Madhoun Department of Genetics and Bioinformatics Dasman Diabetes InstituteDasman 15400Kuwait

In this editorial,we comment on the article by Zhang et *** mellitus is a chronic disorder associated with several complications like cardiomyopathy,neuropathy,and *** prevalence is increasing *** diabetes medications are prescribed based on individual patients’***,the exact mechanisms by which many of these drugs exert their protective effects remain *** et al elucidates molecular mechanisms undelaying cardioprotective effect of the dipeptidyl peptidase-IV inhibitor,***,teneligliptin alleviates the activation of nOD-like receptor protein 3 inflammasome,a multiprotein complex that plays a pivotal role in regulating the innate immune system and inflammatory *** of nOD-like receptor protein 3 inflammasome activity reduces the expression of cytokines,oxygen radicals and *** findings highlight teneligliptin as an anti-diabetic cardioprotective reagent.

关键词： Teneligliptin Diabetes mellitus nOD-like receptor protein 3 inflammasome Inflammation Cardiomyopathy

Optimization algorithms of PERT/CPM network Diagrams in Linear Diophantine Fuzzy Environment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第4期139卷 1095-1118页

作者： Mani Parimala Karthikeyan Prakash ashraf al-Quran Muhammad Riaz Saeid Jafari Department of Mathematics Bannari Amman Institute of TechnologySathyamangalamTamil Nadu638401India Basic Sciences Department Preparatory Year DeanshipKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Mathematics University of the PunjabLahorePakistan College of Vestsjaelland South Herrestraede 11Slagelse4200Denmark

The idea of linear Diophantine fuzzy set(LDFS)theory with its control parameters is a strong model for machine learning and optimization under *** activity times in the critical path method(CPM)representation procedures approach are initially static,but in the Project Evaluation and Review Technique(PERT)approach,they are *** study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy(LDF)*** LDF expected task time,LDF variance,LDF critical path,and LDF total expected time for determining the project network are all computed using LDF numbers as the time of each activity in the project *** primary premise of the LDF-PERT approach is to address ambiguities in project network activity timesmore simply than other approaches such as conventional PERT,Fuzzy PERT,and so *** LDF-PERT is an efficient approach to analyzing symmetries in fuzzy control systems to seek an optimal *** also present a new approach for locating LDF-CPM in a project network with uncertain and erroneous activity *** the available resources and activity times are imprecise and unpredictable,this strategy can help decision-makers make better judgments in a project.A comparison analysis of the proposed technique with the existing techniques has also been *** suggested techniques are demonstrated with two suitable numerical examples.

关键词： Linear Diophantine fuzzy graphs project management PERT CPM linear Diophantine fuzzy numbers score function accuracy function

Complex Decision Modeling Framework with Fairly Operators and Quaternion numbers under Intuitionistic Fuzzy Rough Context

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1893-1932页

作者： nadeem Salamat Muhammad Kamran Shahzaib ashraf Manal Elzain Mohammed Abdulla Rashad Ismail Mohammed M.al-Shamiri Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of Mathematics Thal University BhakkarPunjab30000Pakistan Department of Mathematics Faculty of Science and ArtsKing Khalid UniversityMuhayl Assir61913Saudi Arabia

The main goal of informal computing is to overcome the limitations of hypersensitivity to defects and uncertainty while maintaining a balance between high accuracy,accessibility,and *** paper investigates the potential applications of intuitionistic fuzzy sets(IFS)with rough sets in the context of sparse *** it comes to capture uncertain information emanating fromboth upper and lower approximations,these intuitionistic fuzzy rough numbers(IFRns)are superior to intuitionistic fuzzy sets and pythagorean fuzzy sets,*** use rough sets in conjunction with IFSs to develop several fairly aggregation operators and analyze their underlying *** present numerous impartial laws that incorporate the idea of proportionate dispersion in order to ensure that the membership and non-membership activities of IFRns are treated equally within these *** operations lead to the development of the intuitionistic fuzzy rough weighted fairly aggregation operator(IFRWFA)and intuitionistic fuzzy rough ordered weighted fairly aggregation operator(IFRFOWA).These operators successfully adjust to membership and non-membership categories with fairness and *** highlight the unique qualities of these suggested aggregation operators and investigate their use in the multiattribute decision-making *** use the intuitionistic fuzzy rough environment’s architecture to create a novel strategy in situation involving several decision-makers and non-weighted ***,we developed a novel technique by combining the IFSs with quaternion *** establish a unique connection between alternatives and qualities by using intuitionistic fuzzy quaternion numbers(IFQns).With the help of this framework,we can simulate uncertainty in real-world situations and address a number of decision-making *** the examples we have released,we offer a sophisticated and systematically constructed illustrative scenario that is intricately wo

关键词： Intuitionistic fuzzy set quaternion numbers fuzzy logic decision-making rough set

Evaluation of soil loss severity and ecological restoration approach for sustainable agriculture in the Hindu Kush, Karakoram and Himalaya region

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Mountain Science 2024年第5期21卷 1509-1521页

作者： Arshad ashraf Imran AHMAD Climate Energy and Water Research InstituteNational Agricultural Research Centre(NARC)Islamabad 44000Pakistan

Soil erosion has resulted in removal of the topsoils containing fine soil particles and plant nutrients, causing decrease in soil fertility in the Hindu Kush, Karakoram and Himalaya(HKH) region. The existing production of cereal crop grains has been reduced to one third of the potential crop grains production owing to land degradation and poor farming practices. It is necessary to assess risk of soil loss and identify appropriate controlling measures to address issues of low agriculture productivity and water insecurity in the region. In the present study, severity of soil loss was predicted using Revised Universal Loss Equation(RUSLE) and ecological measures were identified for sustainable mountain agriculture in the HKH region of Upper Indus Basin, Pakistan. Overall 62.6% area was found to have very low risk of soil loss, i.e., nd 7.5% area moderate risk, i.e., 25-50 t/(ha·yr) in the region. The risk was high, i.e., 50-100 t/(ha·yr) and very high, i.e., >100 t/(ha·yr) in about 6.8% and 7.4% areas respectively. The mean rate of soil loss was about 41.9 t/(ha·yr) in the Hindu Kush, 31.1 t/(ha·yr) in the Himalayas, 18.8 t/(ha·yr) in the Karakoram and overall 29.7 t/(ha·yr) in the three HKH ranges. As such no considerable measures have been adopted by the communities for restoration of the degraded areas except raising fruit/farm trees and supporting limited social forestry for their livelihoods. The slopes cleared for cultivation and susceptible to erosion may be stabilized through sowing/planting of multi-purpose plant species and formation of proper bench terraces. The conservation of forest ecosystem and pastures at higher elevations would help in reducing overland water flow, risk of flash flood hazard and minimizing sediment loads in the downstream. It is essential to adopt site-specific resource conservation techniques and restore possible ecosystem health for sustainable agriculture and economic developm

关键词： Climate change Erodibility Indus basin Land degradation Slope stabilization

Wave propagation of a functionally graded plate via integral variables with a hyperbolic arcsine function

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Earthquake Engineering and Engineering Vibration 2024年第3期23卷 547-561页

作者： Mokhtar Ellali Mokhtar Bouazza ashraf M.Zenkour Smart structures Laboratory University of Ain TemouchentAin Temouchent 46000Algeria Department of Civil Engineering University Tahri Mohamed of BecharBechar 08000Algeria Department of Mathematics Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Laboratory of Materials and Hydrology(LMH) University of Sidi Bel AbbesSidi Bel Abbes 22000Algeria Department of Mathematics Faculty of ScienceKafrelsheikh UniversityKafrelsheikh 33516Egypt

Several studies on functionally graded materials(FGMs)have been done by researchers,but few studies have dealt with the impact of the modification of the properties of materials with regard to the functional propagation of the waves in *** work aims to explore the effects of changing compositional characteristics and the volume fraction of the constituent of plate materials regarding the wave propagation response of thick plates of *** model is based on a higher-order theory and a new displacement field with four unknowns that introduce indeterminate integral variables with a hyperbolic arcsine *** FGM plate is assumed to consist of a mixture of metal and ceramic,and its properties change depending on the power functions of the thickness of the plate,such as linear,quadratic,cubic,and inverse *** utilizing Hamilton’s principle,general formulae of the wave propagation were obtained to establish wave modes and phase velocity curves of the wave propagation in a functionally graded plate,including the effects of changing compositional characteristics of materials.

关键词： FGM plate effects of material properties wave propagation indeterminate integral variables inverse sinus hyperbolic function

A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Energy and Built Environment 2024年第6期5卷 911-932页

作者： ashraf alghanmi Akilu Yunusa-Kaltungo Department of Mechanical Aerospace and Civil Engineering(MACE)University of ManchesterM139PLUK Department of Mechanical Engineering Technology Yanbu Industrial CollegeYanbu Al-Sinaiyah City 41912Saudi Arabia

Fault detection and diagnosis(FDD)approaches comprise three main pillars:model-based,knowledge-based,and data-driven ***-driven approaches prioritise operational data and do not necessitate in-depth understanding of the system’s background;yet,significant amounts of data is required,which often poses challenges to *** simulated data is inexpensive and can run numerous faults types with varying severities and time periods,it has been used in data-driven FDD ***,the majority of FDD approaches are implemented at the system level of ***,most buildings have numerous systems with distinct ***,using individualised system-level analysis makes it difficult to see system-to-system ***,there is a significant underrepresentation of research that investigate the applications of FDD models under whole-building scenarios,so as to identify a wider range of energy consumption related faults in ***,since data-driven approaches significantly depend on the quantities of training data,it becomes challenging to diagnose faults that have limited *** a result,this study diagnoses numerous building systems faults,including single and simultaneous faults with limited *** is implemented within the context of the whole-building energy performance of religious buildings in hot climatic areas,employing data-driven FDD *** multi-class classification approaches were investigated to classify both the normal condition and faulty ***,feature extraction methodologies were compared to quantify their potential for improving the *** addition to the classification evaluation metrics,one-way AnOVA and Tukey-Kramer tests were implemented to examine the significance of the reported performance *** classifier obtained highest classification accuracy during validation and testing with about 90%,indicating a promising performance in w

关键词： Building energy performance Building maintenance Fault detection and diagnosis(FDD) Multi-class classification Feature extraction

Data Information integrated neural network (DInn) algorithm for modelling and interpretation performance analysis for energy systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and AI 2024年第2期16卷 306-315页

作者： Waqar Muhammad ashraf Vivek Dua The Sargent Centre for Process Systems Engineering Department of Chemical EngineeringUniversity College LondonTorrington PlaceLondon WC1E 7JEUK

Developing a well-predictive machine learning model that also offers improved interpretability is a key challenge to widen the application of artificial intelligence in various application domains. In this work, we present a Data Information integrated neural network (DInn) algorithm that incorporates the correlation information present in the dataset for the model development. The predictive performance of DInn is also compared with a standard artificial neural network (Ann) model. The DInn algorithm is applied on two case studies of energy systems namely energy efficiency cooling (EnC) & energy efficiency heating (EnH) of the buildings, and power generation from a 365 MW capacity industrial gas turbine. For EnC, DInn presents lower mean RMSE for testing datasets (RMSE_test = 1.23 %) in comparison with the Ann model (RMSE_test = 1.41 %). Similarly, DInn models have presented better predictive performance to model the output variables of the two case studies. The input perturbation analysis following the Gaussian distribution for noise generation reveals the order of significance of the variables, as made by DInn, can be better explained by the domain knowledge of the power generation operation of the gas turbine. This research work demonstrates the potential advantage to integrate the information present in the data for the well-predictive model development complemented with improved interpretation performance thereby opening avenues for industry-wide inclusion and other potential applications of machine learning.

关键词： Explainable AI Model interpretation Scientific machine learning Artificial neural network Loss function

Travelling wave solutions of nonlinear conformable analytical approaches

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics(A Journal of Chinese Universities) 2024年第3期39卷 502-518页

作者： Hira Tariq Hira ashraf Hadi Rezazadeh Ulviye Demirbilek Department of Mathematics Government College Women UniversitySialkotPakistan Faculty of Engineering Technology Amol University of Special Modern TechnologiesAmolIran Faculty of Arts and Sciences Department of MathematicsMersin UniversityMersinTurkey

The presented study deals with the investigation of nonlinear Bogoyavlenskii equations with conformable time-derivative which has great importance in plasma physics and non-inspectoral scattering *** wave solutions of this nonlinear conformable model are constructed by utilizing two powerful analytical approaches,namely,the modified auxiliary equation method and the Sardar sub-equation *** novel soliton solutions are extracted using these ***,3D surface graphs,contour plots and parametric graphs are drawn to show dynamical behavior of some obtained solutions with the aid of symbolic software such as *** constructed solutions will help to understand the dynamical framework of nonlinear Bogoyavlenskii equations in the related physical phenomena.

关键词： nonlinear partial differential equations modified auxiliary equation method Sardar sub-equation method soliton solutions