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The Collaborative Cross mouse genetic reference population designed for dissecting complex traits

中国比较医学杂志 2016年第8期26卷 1-19页

作者： Hanifa Abu Toamih Atamni mahmoud egbaria Yaser Salaymeh Aysar Nashif Fuad A.Iraqi Department of Clinical Microbiology and Immunology Sackler Faculty of MedicineTel Aviv University Department of Prosthodontics Dental School at HadassahHebrew University

Complex traits are multifactorial traits controlled by polygenic host *** trait-related phenotypic characteristics and performance including body weight,blood chemistry,immune cell profiles,as well host susceptibility to infectious and chronic *** recent years,tremendous efforts were invested aiming to map the host genetic factors attribute to these traits and subsequently clone the gene/s underlying these *** parallel to human studies,a number of mouse models and approaches were developed aimed to enhance the mapping process and the gene *** include of using resources such as F2,backcross,advanced intercross lines,outbred populations,consomic,congenic and recombinant inbred lines(RIL).The constraints of these approaches were the limited resolution mapping of genomic regions of the quantitative trait loci(QTL)associated with the trait of interests,and the limited genetic diversity observed in the parental *** overcome these limitations,a new genetically highly diverse recombinant inbred lines of mouse population was established,namely the Collaborative Cross(CC),created from full reciprocal mating of 8 divergent strains of mice:A/J,C57BL/6J,129S1/SvI mJ,NOD/LtJ,NZO/HiL tJ,CAST/Ei,PWK/PhJ,and WSB/*** intercrossing these eight founders to generate the different CC lines,the genetic makeup of the newly developed resource is completely different from the eight parental lines,and will show heterosis,which subsequently will response differently comparing with their original ***,our results suggest that it is not essential to defining the phenotypic response of the eight parental lines,prior of assessing the CC lines,because it is believed that genetic interaction of the new genetic makeup of the new lines will reveal new phenotypic response,which completely different from the parental *** this report,we present to the community the power of the CC for dissecting variety of complex traits including host susceptib

关键词： phenotypic parental Collaborative inbred populations genomic susceptibility cloning overcome mating

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Bearing capacity of circular footings on multi-layered sand-waste tire shreds reinforced with geogrids

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 1085-1094页

作者： mahmoud Ghazavi Ehsan Khosroshahi Faculty of Civil Engineering K.N.Toosi University of TechnologyTehranIran

The presence of waste tires poses an environmental challenge as they occupy a significant amount of land and are expensive to dispose in ***,reusing waste tires can address this issue when waste tires are used in geotechnical *** determine the viability of this approach,laboratoryscale tests were conducted to investigate load-bearing capacity of circular footings on sand-tire shred(STS)mixtures with shredded waste tire contents of 5%e15%by weight and three different widths of *** investigation focused on analyzing the thickness of layers composed of STS mixtures,the soil cap,and the impact of geogrids on bearing *** results indicate that a specific mixture of sand and tire shreds provides the highest footing-bearing *** addition,the optimal shred content and size were found to be 10%by weight and 2 cm×10 cm,***,for a given tire shred width,a particular length provides the largest bearing *** results agree well with that of previous research conducted by the first author and his colleagues in direct shear and California bearing ratio(CBR)*** primary finding of this research is that the use of two-layered STS mixtures reinforced by geogrids significantly enhances the bearing capacity.

关键词： Geogrid Sand Waste tire shred Bearing capacity Waste tire shred optimization Tire shred aspect ratio

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Electro-optic tuning in composite silicon photonics based on ferroionic 2D materials

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Light(Science & Applications) 2024年第5期13卷 852-864页

作者： Ghada Dushaq Solomon Serunjogi Srinivasa R.Tamalampudi mahmoud Rasras Department of Electrical and Computer Engineering New York University Abu DhabiP.O.Box 129188Abu DhabiUnited Arab Emirates NYU Tandon School of Engineering New York UniversityNew YorkNYUSA

Tunable optical materials are indispensable elements in modern optoelectronics,especially in integrated photonics circuits where precise control over the effective refractive index is essential for diverse ***-dimensional materials like transition metal dichalcogenides(TMDs)and graphene exhibit remarkable optical responses to external ***,achieving distinctive modulation across short-wave infrared(SWIR)regions while enabling precise phase control at low signal loss within a compact footprint remains an ongoing *** this work,we unveil the robust electro-refractive response of multilayer ferroionic two-dimensional CuCrP2S6(CCPS)in the near-infrared wavelength *** integrating CCPS into silicon photonics(SiPh)microring resonators(MRR),we enhance lightmatter interaction and measurement sensitivity to minute phase and absorption *** show that electrically driven Cu ions can tune the effective refractive index on the order of 2.8×10−3 RIU(refractive index unit)while preserving extinction ratios and resonance ***,these devices exhibit low optical losses and excellent modulation efficiency of 0.25 *** with a consistent blue shift in the resonance wavelengths among all devices for either polarity of the applied *** results outperform earlier findings on phase shifters based on ***,our study demonstrates distinct variations in electro-optic tuning sensitivity when comparing transverse electric(TE)and transverse magnetic(TM)modes,revealing a polarization-dependent response that paves the way for diverse applications in light *** combined optoelectronic and ionotronic capabilities of two-terminal CCPS devices present extensive opportunities across several *** potential applications range from phased arrays and optical switching to their use in environmental sensing and metrology,optical imaging systems,and neuromorphic systems in light-sensitive artificial synapses.

关键词： tuning polarization refractive

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Microstructure and impact behavior of Mg-4Al-5RE-xGd cast magnesium alloys

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Journal of Magnesium and Alloys 2024年第5期12卷 1799-1814页

作者： Jie Wei Qudong Wang Huisheng Cai mahmoud Ebrahimi Chuan Lei National Engineering Research Center of Light Alloy Net Forming and Key State Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China

This work investigated the microstructure and impact behavior of Mg-4Al-5RE-xGd(RE represents La-Ce mischmetal;x=0,0.2,0.7 wt.%)alloys cast by high-pressure die casting(HPDC),permanent mold casting(PMC),and sand casting(SC)*** results indicated that with increasing Gd content,the grain sizes of the HPDC alloy had a slight change,but the grains of the PMC and SC alloys were significantly ***,the acicular Al_(11)RE_(3)phase was modified into the short-rod shape under the three casting *** impact toughness of the studied alloy was mainly dominated by the absorbed energy during the crack *** increasing Gd content,the impact toughness of the studied alloy monotonically increased due to the lower tendency of the modified second phase toward crack *** impact stress was higher than the tensile stress,exhibiting a strain rate sensitivity for the mechanical response;however,the HPDC alloy had an inconsistent strain rate sensitivity during the impact event due to the transformation of the deformation mechanism from twinning to slip with increasing *** dimples covered the fracture surface of the fine-grained HPDC alloys,indicating a typical ductile ***,due to the deficient{1012}twinning activity and the suppressed grain boundary sliding during the impact event,the HPDC alloys showed insufficient plastic deformation capacity.

关键词： Mg-Al-RE alloy Gadolinium Microstructure Impact behavior

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Nondestructive and active interrogation system for special nuclear material:proof of principle and initial results

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Nuclear Science and Techniques 2024年第5期35卷 216-225页

作者： mahmoud Bakr Kai Masuda Yoshiyuki Takahashi Tsuyoshi Misawa Norio Yamakawa Tomas Scott Institute of Advanced Energy Kyoto UniversityGokashoUjiKyoto 611‑0011Japan School of Physics University of BristolBs81TL Tyndall AvenueBristolUK Physics Department Faculty of ScienceAssiut UniversityAssiut 71516Egypt Research Reactor Institute Kyoto University2 Asashiro‑NishiKumatoriOsaka 590‑0494Japan Pony Industry Co.Ltd. 2‑3‑6 Kitakyuhoji‑MachiChuo‑KuOsaka 541‑0057Japan Astral Neutronics LTD Unit H5HallenBristol BS107SBUK

Herein,we employ the threshold energy neutron analysis(TENA)technique to introduce the world's first active interrogation system to detect special nuclear materials(SNMs),including U-235 and *** system utilizes a DD neutron generator based on inertial electrostatic confinement(IEC)to interrogate suspicious *** detect secondary neutrons produced during fission reactions induced in SNMs,a tensioned metastable fluid detector(TMFD)is *** current status of the system's development is reported in this paper,accompanied by the results from experiments conducted to detect 10 g of highly enriched uranium(HEU).Notably,the experimental findings demonstrate a distinct difference in the count rates of measurements with and without *** difference in count rates surpasses two times the standard deviation,indicating a confidence level of more than 96% for identifying the presence of *** paper presents and extensively discusses the proof-of-principle experimental results,along with the system's planned trajectory.

关键词： Special nuclear materials Uranium detection Inertial electrostatic confinement fusion TENA HEU CTMFD

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Network traffic classification:Techniques,datasets,and challenges

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Digital Communications and Networks 2024年第3期10卷 676-692页

作者： Ahmad Azab mahmoud Khasawneh Saed Alrabaee Kim-Kwang Raymond Choo Maysa Sarsour College of Information Technology and Systems Victorian Institute of TechnologyAustralia College of Engineering Al Ain UniversityAbu DhabiUnited Arab Emirates Information Systems and Security College of ITUnited Arab Emirates UniversityAl Ain15551United Arab Emirates Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78260USA School of Photovoltaic and Renewable Energy Engineering University of New South WalesSydneyNSW2052Australia

In network traffic classification,it is important to understand the correlation between network traffic and its causal application,protocol,or service group,for example,in facilitating lawful interception,ensuring the quality of service,preventing application choke points,and facilitating malicious behavior *** this paper,we review existing network classification techniques,such as port-based identification and those based on deep packet inspection,statistical features in conjunction with machine learning,and deep learning *** also explain the implementations,advantages,and limitations associated with these *** review also extends to publicly available datasets used in the ***,we discuss existing and emerging challenges,as well as future research directions.

关键词： Network classification Machine learning Deep learning Deep packet inspection Traffic monitoring

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Hybrid Model of Power Transformer Fault Classification Using C-set and MFCM – MCSVM

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 672-685页

作者： Ali Abdo Hongshun Liu Yousif mahmoud Hongru Zhang Ying Sun Qingquan Li Jian Guo Shandong Provincial Key Laboratory of UHV Transmission Technology and Equipment School of Electrical EngineeringShandong UniversityJinan 250061China

This paper aims to increase the diagnosis accuracy of the fault classification of power transformers by introducing a new off-line hybrid model based on a combination subset of the et method(C-set)&modified fuzzy C-mean algorithm(MFCM)and the optimizable multiclass-SVM(MCSVM).The innovation in this paper is shown in terms of solving the predicaments of outliers,boundary proportion,and unequal data existing in both traditional and intelligence *** into consideration the closeness of dissolved gas analysis(DGA)data,the C-set method is implemented to subset the DGA data samples based on their type of faults within unrepeated ***,the MFCM is used for removing outliers from DGA samples by combining highly similar data for every subset within the same cluster to obtain the optimized training data(OTD)*** is also used to minimize dimensionality of DGA samples and the uncertainty of transformer condition *** that,the optimized MCSVM is trained by using the(OTD).The proposed model diagnosis accuracy is 93.3%.The obtained results indicate that our model significantly improves the fault identification accuracy in power transformers when compared with other conventional and intelligence models.

关键词： Combination subset of set(C-set)method modified fuzzy C-means(MFCM) optimizable multiclass-SVM(MCSVM) optimized training data(OTD)

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Source Camera Identification Algorithm Based on Multi-Scale Feature Fusion

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Computers, Materials & Continua 2024年第8期80卷 3047-3065页

作者： Jianfeng Lu Caijin Li Xiangye Huang Chen Cui mahmoud Emam School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Shangyu Institute of Science and Engineering Hangzhou Dianzi UniversityShaoxing312300China Key Laboratory of Public Security Information Application Based on Big-Data Architecture Ministry of Public SecurityZhejiang Police CollegeHangzhou310000China Faculty of Artificial Intelligence Menoufia UniversityShebin El-Koom32511Egypt

The widespread availability of digital multimedia data has led to a new challenge in digital *** source camera identification algorithms usually rely on various traces in the capturing ***,these traces have become increasingly difficult to extract due to wide availability of various image processing *** Neural Networks(CNN)-based algorithms have demonstrated good discriminative capabilities for different brands and even different models of camera ***,their performances is not ideal in case of distinguishing between individual devices of the same model,because cameras of the same model typically use the same optical lens,image sensor,and image processing algorithms,that result in minimal overall *** this paper,we propose a camera forensics algorithm based on multi-scale feature fusion to address these *** proposed algorithm extracts different local features from feature maps of different scales and then fuses them to obtain a comprehensive feature *** representation is then fed into a subsequent camera fingerprint classification *** upon the Swin-T network,we utilize Transformer Blocks and Graph Convolutional Network(GCN)modules to fuse multi-scale features from different stages of the backbone ***,we conduct experiments on established datasets to demonstrate the feasibility and effectiveness of the proposed approach.

关键词： Source camera identification camera forensics convolutional neural network feature fusion transformer block graph convolutional network

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Anthropogenic mineral generation and its potential resource supply:The case of niobium

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Science China Earth Sciences 2024年第8期67卷 2583-2591页

作者： Xianlai ZENG Moisés Gómez mahmoud BAKRY Yong GENG Jinhui LI School of Environment Tsinghua UniversityBeijing 100084China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of International and Public Affairs Shanghai Jiao Tong UniversityShanghai 200030China

The strategy of carbon neutrality is reshaping the global landscape of resource flow and *** the final sink of geological minerals,the proliferated anthropogenic minerals,also called secondary resources,play an increasingly important role in resource supply *** is a critical metal that lacks full concern for its *** fundamental principle of niobium circularity is to recycle and maintain the material as close to the manufacturing process as *** we estimate the niobium-containing applications lost at their end-of-life,underscoring the imperative to minimize such ***,we elucidate the extraction processes for scrap and alloy quantities throughout the industry's *** from anticipated waste generated by the majority of niobium applications,a forecast indicates a potential loss of approximately 168 kt by 2090 in the absence of ***,with a recycling efficiency of 90%for niobium,the projected loss diminishes to approximately 16 *** delve into the significance of niobium's circular economy and explore various aspects that demand further investigation for a seamless transition from linear to circular practices.

关键词： Niobium Anthropogenic mineral Circular economy Recycling Sustainability

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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble

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Big Data Mining and Analytics 2024年第2期7卷 247-270页

作者： Mona Ahamd Alghamdi Abdullah S.A.L-Malaise AL-Ghamdi mahmoud Ragab Information Systems Department Faculty of Computing and Information Technology(FCIT)King Abdulaziz University(KAU)Jeddah 21589Kingdom of Saudi Arabia Information Systems Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah 22246Kingdom of Saudi Arabia Information Technology Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with Mathematics DepartmentFaculty of ScienceAl-Azhar UniversityNaser City 11884Egypt

The ability to make accurate energy predictions while considering all related energy factors allows production plants,regulatory bodies,and governments to meet energy demand and assess the effects of energy-saving *** energy consumption falls within normal parameters,it will be possible to use the developed model to predict energy consumption and develop improvements and mitigating measures for energy *** objective of this model is to accurately predict energy consumption without data limitations and provide results that are easily *** proposed model is an implementation of the stacked Long Short-Term Memory(LSTM)snapshot ensemble combined with the Fast Fourier Transform(FFT)and *** and Berard’s Individual Household Electric-Power Consumption(IHEPC)dataset incorporated with weather data are used to analyse the model’s accuracy with predicting energy *** model is trained,and the results measured using Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),and coefficient of determination(R^(2))metrics are 0.020,0.013,0.017,and 0.999,*** stacked LSTM snapshot ensemble performs better than the compared models based on prediction accuracy and minimized *** results of this study show that prediction accuracy is high,and the model’s stability is high as *** model shows that high levels of accuracy prove accurate predictive ability,and together with high levels of stability,the model has good interpretability,which is not typically accounted for in ***,this study shows that it can be inferred.

关键词： energy consumption prediction Artificial Intelligence(AI) Deep Learning(DL) snapshot ensemble

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