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Tree ring derived summer temperature variability over the past millennium in the western Himalayas of northern Pakistan

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Frontiers of Earth Science 2023年第4期17卷 1026-1036页

作者： fayaz asad Haifeng ZHU Tabassum YASEEN Ru HUANG Mukund Palat RAO Department of Botany Bacha Khan University CharsaddaKhyber Dakhtun Khaw 24420Pakistan State Key Laboratory of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China China Pakistan Joint Research Center on Earth Sciences CAS-HECIslamabad 45320Pakistan Centre de Recerca Ecològica i Aplicacions Forestals Barcelona 08193Spain Department of Plant Science University of California Davis(UC Davis)95616CaliforniaUSA Tree Ring Laboratory Lamont-Doherty Earth ObservatoryColumbia UniversityNY 10964USA

Long-term high resolution climate proxies are essential for understanding climate variability particularly,in regions such as the western Himalayas of northern Pakistan,where few long-term climate records are *** standard dendrochronological methods,an 1132-year(882 to 2013 C.E.)tree-ring chronology of Juniperus excelsa *** was established from the western Himalayas,northern Pakistan(WHNP).Tree growth was negatively and significantly(r=-0.65)correlated with the growing season(June-July)mean temperature,and positively and weakly(r=0.22)associated with *** inverse relationship of tree radial growth with temperature and positive association with precipitation demonstrated that forest growth is sensitive to high temperature related *** a reliable STD chronology and robust reconstruction model,a 928-year(1086 to 2013 C.E.)mean temperature reconstruction was developed for the WHNP using the substantial negative correlation between the summer temperature and standard tree ring-width *** to statistical validation,the reconstruction accounted for 41.6% of the climatic variation for the period of 1956-2013 *** *** extreme-warm periods occurred in 1093 C.E.(29.42℃)and extreme cold periods in 1088 C.E.(26.99℃)observed during the past 928 *** reconstruction's multi-taper method(MTM)spectral analysis reveals significant(p<0.05)2-3-year and 63.8-year *** the 2-3-year cycle occurred within the range of ENSO variation,which indicates that ENSO had an impact on the regional temperature in our studied area.

关键词： tree rings Juniperus excelsa dendrochronology reconstruction western Himalaya

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Temperature variability in northern Iran during the past 700 years

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Science Bulletin 2018年第8期63卷 462-464页

作者： Vilma Bayramzadeh Haifeng Zhu Xiaoming Lu Pedram Attarod Hui Zhang Xiaoxia Li fayaz asad Eryuan Hang Key Laboratory of Alpine Ecology and Biodiversity Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China Department of Wood Sciences Faculty of Agricultare and Natural Resources Karaj Branch Islamic Azad University Karaj *** Iron Department of Forestry Forest Economics Faculty of Natural Resources University of Tehran Karaj *** Iran CAS Centre for Excellence in Tibetan Plateau Earth Sciences Beijing 100101 China Department of Botany Bacha Khan University Charsadda Khyber PakhtunKhwa 24420 Pakistan

Warming is significantly affecting ecosystems in dry-warm areas,such as the Middle East[1],but long-term climatic records are often scarce in these *** important proxy source of climate data is tree rings,which have contributed to understanding climate changes over the past millennium[1].Under the PAGES2K framework[2],a tree-ring network of the Eurasian continent

关键词：温度记录可变性伊朗气候数据生态系统温暖中东上下文

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Interpretability and spatial efficacy of a deep-learning-based on-site early warning framework using explainable artificial intelligence and geographically weighted random forests

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Geoscience Frontiers 2024年第5期15卷 182-196页

作者： Jawad fayaz Carmine Galasso Department of Computer Science University of ExeterUK Department of Civil Environmentaland Geomatic EngineeringUniversity College London(UCL)LondonUK

Earthquakes pose significant risks globally,necessitating effective seismic risk mitigation strategies like earthquake early warning(EEW)***,developing and optimizing such systems requires thoroughly understanding their internal procedures and coverage *** study examines a deep-learning-based on-site EEW framework known as ROSERS(Real-time On-Site Estimation of Response Spectra)proposed by the authors,which constructs response spectra from early recorded ground motion waveforms at a target *** study has three primary goals:(1)evaluating the effectiveness and applicability of ROSERS to subduction seismic sources;(2)providing a detailed interpretation of the trained deep neural network(DNN)and surrogate latent variables(LVs)implemented in ROSERS;and(3)analyzing the spatial efficacy of the framework to assess the coverage area of on-site EEW *** is retrained and tested on a dataset of around 11,000 unprocessed Japanese subduction ground ***-of-fit testing shows that the ROSERS framework achieves good performance on this database,especially given the peculiarities of the subduction seismic *** trained DNN and LVs are then interpreted using game theory-based Shapley additive explanations to establish cause-effect ***,the study explores the coverage area of ROSERS by training a novel spatial regression model that estimates the LVs using geographically weighted random forest and determining the radius of *** results indicate that on-site predictions can be considered reliable within a 2–9 km radius,varying based on the magnitude and distance from the earthquake *** information can assist end-users in strategically placing sensors,minimizing blind spots,and reducing errors from regional extrapolation.

关键词： Earthquake early warning systems Spatial regression Neural networks Japanese subduction Explainable artificial intelligence

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Secure and Reliable Routing in the Internet of Vehicles Network:AODV-RL with BHA Attack Defense

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 633-659页

作者： Nadeem Ahmed Khalid Mohammadani Ali Kashif Bashir Marwan Omar Angel Jones fayaz Hassan School of Electronic Science Beijing University of Post and TelecommunicationBeijing100086China Department of Computer Science Huanggang Normal UniversityHuanggangChina Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabad502345India Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Information Technology and Management Illinois Institute of TechnologyChicagoUSA College of Computing Capital Technology UniversityLaurelUSA

Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles(IoV).However,intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks(VANETs),a core component of IoV,face security issues,particularly the Black Hole Attack(BHA).This malicious attack disrupts the seamless flow of data and threatens the network’s overall reliability;also,BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes *** the importance of this challenge,we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor(AODV-RL).The significance of AODVRL lies in its unique approach:it verifies and confirms the trustworthiness of network components,providing robust protection against *** additional safety layer is established by implementing the Local Outlier Factor(LOF),which detects and addresses abnormal network *** testing of our solution has revealed its remarkable ability to enhance communication in ***,Our experimental results achieve message delivery ratios of up to 94.25%andminimal packet loss ratios of just 0.297%.Based on our experimental results,the proposedmechanismsignificantly improves VANET communication reliability and *** results promise a more secure and dependable future for IoV,capable of transforming transportation safety and efficiency.

关键词： Black hole attack IoV vehicular ad hoc network AODV routing protocol

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施肥对银白杨（Populus alba L.）林凋落物分解及养分循环过程的影响

施肥对银白杨（Populus alba L.）林凋落物分解及养分循环过程的...

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作者： Monira fayaz 东北林业大学

学位级别：硕士

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Healthy life expectancy with cardiovascular disease among Chinese rural population based on the prospective cohort study

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Journal of Geriatric Cardiology 2024年第8期21卷 799-806页

作者： Feng JIANG Xiao-Tian LIU Ze HU Wei LIAO Shuo-Yi LI Rui-Fang ZHU Zhen-Xing MAO Jian HOU Sohail Akhtar fayaz Ahmad Tahir Mehmood Chong-Jian WANG Department of Epidemiology and Biostatistics College of Public HealthZhengzhou UniversityZhengzhouChina Department of Mathematics and Statistics The University of HaripurHaripurPakistan School of Natural Sciences National University of Sciences and TechnologyIslamabadPakistan

BACKGROUND Limited research has explored the impact of cardiovascular disease(CVD)on healthy life expectancy(HLE)especially in resource-limited *** study aimed to investigate the association between CVD and HLE in Chinese rural *** This study included 11,994 participants aged 45 years and older from the baseline and follow-up surveys of the Henan rural cohort *** status was measured via a Visual Analogue *** multistate Markov model was applied to estimate the association between CVD and transitions in health,unhealthiness and ***-specific total life expectancy,HLE and unhealthy life expectancy were calculated by the multistate life table *** During a mean follow-up time of 3.85(3.84–3.86)years,there were 588 deaths *** individuals with CVD,the risk of switching from health to unhealthiness status was increased by 71%[hazard ratio(HR)=1.71,95%CI:1.42–2.07],the chance of recovery was reduced by 30%(HR=0.70,95%CI:0.60–0.82).Men aged 45 years without CVD could gain an extra 7.08(4.15–10.01)years of HLE and lose 4.00(1.60–6.40)years of unhealthy life expectancy compared to their peers with CVD,*** corresponding estimates among women were 8.62(5.55–11.68)years and 5.82(2.59–9.04)years,*** This study indicated that CVD was significantly associated with poorer health status and lower HLE among Chinese rural *** is an important public health policy to adopt targeted measures to reduce the CVD burden and enhance the quality of life and HLE in resource-limited areas.

关键词： Healthy cardiovascular life

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Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases

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Computers, Materials & Continua 2023年第10期77卷 647-664页

作者： fayaz Muhammad Jahangir Khan asad Ullah Fasee Ullah Razaullah Khan Inayat Khan Mohammed ElAffendi Gauhar Ali Department of Computer Science and Information Technology Sarhad University of Science and Information TechnologyPeshawar25000Pakistan Department of Computer Science University of Engineering and TechnologyMardan23200Pakistan EIAS Data Science and Blockchain Lab College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia

IIF(Indirect Immune Florescence)has gained much attention recently due to its importance in medical *** primary purpose of this work is to highlight a step-by-step methodology for detecting autoimmune *** use of IIF for detecting autoimmune diseases is widespread in different medical *** 80 different types of autoimmune diseases have existed in various body *** IIF has been used for image classification in both ways,manually and by using the Computer-Aided Detection(CAD)*** data scientists conducted various research works using an automatic CAD system with low *** diseases in the human body can be detected with the help of Transfer Learning(TL),an advanced Convolutional Neural Network(CNN)*** baseline paper applied the manual classification to the MIVIA dataset of Human Epithelial cells(HEP)type II cells and the Sub Class Discriminant(SDA)analysis technique used to detect autoimmune *** technique yielded an accuracy of up to 90.03%,which was not reliable for detecting autoimmune disease in the mitotic cells of the *** the current research,the work has been performed on the MIVIA data set of HEP type II cells by using four well-known models of *** augmentation and normalization have been applied to the dataset to overcome the problem of overfitting and are also used to improve the performance of TL *** models are named Inception V3,Dens Net 121,VGG-16,and Mobile Net,and their performance can be calculated through parameters of the confusion matrix(accuracy,precision,recall,and F1 measures).The results show that the accuracy value of VGG-16 is 78.00%,Inception V3 is 92.00%,Dense Net 121 is 95.00%,and Mobile Net shows 88.00%accuracy,***,DenseNet-121 shows the highest performance with suitable analysis of autoimmune *** overall performance highlighted that TL is a suitable and enhanced technique compared to its ***,the proposed technique is used

关键词： Indirect immune fluorescence computer-aided diagnosis transfer learning confusion matrix

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In vitro meat production: Challenges and benefits over conventional meat production

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Journal of Integrative Agriculture 2015年第2期14卷 241-248页

作者： Zuhaib fayaz Bhat Sunil Kumar Hina fayaz Division of Livestock Products Technology Faculty of Veterinary Sciences and Animal Husbandry Sher-e-Kashmir University of Agricultural Sciences and Technology of JammuJammu 181102 India Division of Biotechnology University of KashmirSrinagar 190006 India

In vitro meat production system is the production of meat outside the food animals by culturing the stem cells derived from farm animals inside the bioreactor by using advanced tissue engineering techniques. Besides winning the favour of animal rights activists for its humane production of meat, in vitro meat production system also circumvents many of the issues associated with conventional meat production systems, like excessively brutal slaughter of food animals, nutrition-related diseases, foodborne illnesses, resource use, antibiotic-resistant pathogen strains, and massive emissions of methane that contribute to global warming. As the conditions in an in vitro meat production system are controlled and manipulatable, it will be feasible to produce designer, chemically safe and disease-free meat on sustainable basis. However, many challenges are to be faced before cultured meat becomes commercially feasible. Although, the production cost and the public acceptance are of paramount importance, huge funds are desperately required for further research in the field.

关键词： in vitro meat history advantages techniques problems

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Improving the seismic torsional behavior of plan-asymmetric,single-storey,concrete moment resisting buildings with fluid viscous dampers

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Earthquake Engineering and Engineering Vibration 2016年第1期15卷 61-78页

作者： fayaz Rahimzadeh Rofooei Sahar Mohammadzadeh Civil Engineering Department Sharif University of Technology

The optimal distribution of fluid viscous dampers（FVD）in controlling the seismic response of eccentric,single-storey,moment resisting concrete structures is investigated using the previously defined center of damping constant（CDC）.For this purpose,a number of structural models with different one-way stiffness and strength eccentricities are *** nonlinear time history analyses are carried out for various arrangements of *** is shown that the arrangement of FVDs for controlling the torsional behavior due to asymmetry in the concrete structures is very dependent on the intensity of the peak ground acceleration（PGA）and the extent of the structural stiffness and strength *** results indicate that,in the linear range of structural behavior the stiffness eccentricity es which is the main parameter in determining the location of optimal CDC,is found to be less or smaller than the optimal damping constant eccentricity e＊d,i.e.,｜e＊d｜〉｜es｜.But,in the nonlinear range of structural behavior where the strength eccentricity er is the dominant factor in determining the location of optimal CDC,｜e＊d｜〉｜er｜.It is also concluded that for the majority of the plan-asymmetric,concrete structures considered in this study with er ≠ 0,the optimal CDC approaches the center of mass as er decreases.

关键词： plan-asymmetric concrete buildings torsion fluid viscous dampers weak torsional balance nonlinear timehistory analysis

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Locus Coeruleus Acid-Sensing Ion Channels Modulate Sleep–Wakefulness and State Transition from NREM to REM Sleep in the Rat

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Neuroscience Bulletin 2021年第5期37卷 684-700页

作者： fayaz A.Mir Sushil K.Jha School of Life Sciences Jawaharlal Nehru UniversityNew Delhi 110067India

The locus coeruleus(LC) is one of the essential chemoregulatory and sleep–wake(S–W) modulating centers in the brain. LC neurons remain highly active during wakefulness, and some implicitly become silent during rapid eye movement(REM) sleep. LC neurons are also involved in CO_2-dependent modulation of the respiratory drive. Acid-sensing ion channels(ASICs) are highly expressed in some brainstem chemosensory breathing regulatory areas, but their localization and functions in the LC remain unknown. Mild hypercapnia increases the amount of non-REM(NREM) sleep and the number of REM sleep episodes, but whether ASICs in the LC modulate S–W is unclear. Here, we investigated the presence of ASICs in the LC and their role in S–W modulation and the state transition from NREM to REM sleep. Male Wistar rats were surgically prepared for chronic polysomnographic recordings and drug microinjections into the LC. The presence of ASIC-2 and ASIC-3 in the LC was immunohistochemically *** of amiloride(an ASIC blocker) and APETx2(a blocker of ASIC-2 and-3) into the LC significantly decreased wakefulness and REM sleep, but significantly increased NREM sleep. Mild hypercapnia increased the amount of NREM and the number of REM episodes. However, APETx2 microinjection inhibited this increase in REM frequency. These results suggest that the ASICs of LC neurons modulate S–W, indicating that ASICs could play an important role in vigilance-state transition. A mild increase in CO_2 level during NREM sleep sensed by ASICs could be one of the determinants of state transition from NREM to REM sleep.

关键词： Acid-sensing ion channels Carbon dioxide Hypercapnia NREM sleep REM sleep

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