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Global Geology 2003年第2期8卷 118-128页

作者： M.Herrmann a.r.ashraf V.Mosbrugger M.M.Toigo Institute of Geosciences University of Tuebingen Tuebingen D-72076 GermanyInstitute of Geosciences University of Tuebingen Tuebingen D-72076 GermanyInstitute of Geosciences University of Tuebingen Tuebingen D-72076 GermanyInstitute of Geosciences Porto Alegre CEP 91501-970 Brazil

A 405 cm long core was drilled in the Aparados da Serra National Park (rio Grande do Sul, Brazil) at the end of 1999, and in all, 23 samples were taken for palynological investigation. The cores’ age is estimated at 27 000 a BP based on three radiocarbon dates taken from different depths of the core. Palynological methods were used to reconstruct the history of vegetation and climate change. Four different plant associations were recognized: ① lake plankton and shore plants; ② mire and swamp plants; ③ gallery-forest plants; ④ campos vegetation. Climate changed from cold glacial conditions mainly influenced by the South Pole throughout several transition stages to today’s humid warm climate, mainly being influenced by the Brazil stream.

关键词： vegetation and climate reconstruction, planalto, rio Grand do Sul, South Brazil

THE MAASTrICHTIAN-DANIAN PALYNOLOGICAL ASSEMBLAGES FrOM WUYUN OF JIAYIN NEArBY THE HEILONGJIANG (AMUr) rIVEr

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THE MAASTRICHTIAN-DANIAN PALYNOLOGICAL ASSEMBLAGES FROM WUYU...

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

第二届国际古生物学大会

作者： Valentina S.MArKEVICH a.r.ashraf Eugenia V.BUGDAEVA Institute of Biology and Soil Sciences Far East Branch of Russian Academy of SciencesVladivostok 690022 Russia Institute of Geosciences University of Tuebingen Tuebingen D-72074 Germany

During the field research in 2002 and 2004, the deposits of Furao Formation and Wuyun Formation were studied. The palynological assemblages of the Maastrichtian and Danian ages were recognized from the above-mentioned beds nearby the Baishantou of Wuyun in Jiayin of Heilongjiang, China. The authors have made drilling work in these sediments and prepared the material from the bore hole for palynological research. The results of the research demonstrate that there are abundant and well-preserved fossil spores and pollen in the lower part of bore hole. Among them the diversity of ferns are great (14 species), represented by spores of Schizaeaceae, Gleicheniaceae, Cyatheaceae,

关键词： Maastrichtian-Danian palynological assemblages K-T boundary Wuyun of Jiayin Heilongjiang (Amur) river

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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., r), 15.8% area low risk, i.e., 5-25 t/(ha·yr) and 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

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黄土孢粉分析的新途径——筛滤分析法

中国沙漠 1999年第4期19卷 399-402页

作者：李小强周杰 a.r.ashraf EvaWacker 中国科学院黄土与第四纪地质国家重点实验室陕西西安710054 Institute&MuseumofGe-ology&Paleontology

黄土－古土壤序列在全球古气候、古环境研究中占有不可替代的重要地位，而其中的孢粉是黄土高原生态环境演化过程中保存的直接生物学证据，它对建立黄土高原降水或湿度状况的时空变化特征，认识季风变迁的过程、规律以及未来发展趋势等... 详细信息

黄土－古土壤序列在全球古气候、古环境研究中占有不可替代的重要地位，而其中的孢粉是黄土高原生态环境演化过程中保存的直接生物学证据，它对建立黄土高原降水或湿度状况的时空变化特征，认识季风变迁的过程、规律以及未来发展趋势等具有重要的意义。随着黄土研究工作的不断深入，作为直接生物学证据的孢粉研究相对薄弱。其中最困扰的因素是从黄土中提取孢粉极其困难，分析技术上始终未能找到一个突破口，因此需要一种分析效果好、快捷、成本低的分析方法以获得大量高精度的孢粉数据。筛滤分析法正是为了适应黄土研究的需要而设计的一种新型的黄土孢粉分析方法。筛滤分析法利用真空状态下的气压差使样品在水中完全悬浮跳动，样品得到充分的冲洗并促使孢粉与其它无机质与有机质分离。相对真空的状态减少了微细颗粒对极为细小的网眼的阻塞，重力作用促使水及各类颗粒不断冲击筛网，使粒径小于１０ μｍ的物质较容易被过滤到聚水容器中，而孢粉与较少的大颗粒物质则被隔离在筛网之上，这使我们很容易用重液浮选出干净、清晰的孢粉底样。筛滤分析法与常规的黄土孢粉分析相比，具有以下特点： ①大大降低了分析样品的重量及药品的消耗，一般仅需样品３０ｇ左右，是常规分析法用量的１／６～１／８。②?

关键词：黄土孢粉分析筛滤分析法古植物古气候

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

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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

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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

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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

MicrorNA-630:A potential guardian against inflammation in diabetic kidney disease

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World Journal of Diabetes 2024年第9期15卷 1837-1841页

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

In this editorial,we comment on the article by Wu et al published“MicrorNA-630 alleviates inflammatory reactions in rats with diabetic kidney disease by targeting toll-like receptor 4”.Diabetic kidney disease(DKD)stands as a significant complication occurring from diabetes mellitus,which contributes substantially to the morbidity and mortality rates *** tubular epithelial cell damage,often accompanied by inflammatory responses and mesenchymal transdifferentiation,plays a pivotal role in the progression of *** extensive research,the intricate molecular mechanisms underlying these processes remain to be *** et al remarkable work identifies microrNA-630(mir-630)as an emerging potential regulator of cell migration,apoptosis,and autophagy,prompting investigation into its association with DKD *** study endeavors to elucidate the impact of mir-630 on TEC injury and the inflammatory response in DKD *** role of mir-630 in human DKD will be of interest for future studies.

关键词： Diabetic kidney disease MicrorNA MicrorNA-630 Toll-like receptor 4 Inflammation

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

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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

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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