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Developmental and genomic architecture of plant embryogenesis: from model plant to crops

Plant Communications 2021年第1期2卷 1-12页

作者： alma arment.-medina C.Stewart Gillmor Peng Gao Javier Mora-Macias Leon V.Kochian Daoquan Xiang Raju Datla Global Institute for Food Security University of SaskatchewanSaskatoonSK S7N 4J8Canada Laboratorio Nacional de Genòmica para la Biodiversidad(Langebio) Unidad de Genòmica AvanzadaCentro de Investigaciòny Estudios Avanzados del IPN(CINVESTAV-IPN)IrapuatoGuanajuatoMéxico National Research Council Canada 110 Gymnasium PlaceSaskatoonSK S7N 0W9Canada

Embryonic development represents an important reproductive phase of sexually reproducing plant *** fusion of egg and sperm produces the plant zygote,a totipotent cell that,through cell division and cell identity specification in early embryogenesis,establishes the major cell lineages and tissues of the adult *** subsequent morphogenesis phase produces the full-sized embryo,while the late embryogenesis maturation process prepares the seed for dormancy and subsequent germination,ensuring continuation of the plant life *** this review on embryogenesis,we compare the model eudicot Arabidopsis thaliana with monocot crops,focusing on genome activation,paternal and maternal regulation of early zygote development,and key organizers of patterning,such as auxin and WOX transcription *** the early stages of embryo development are apparently conserved among plant species,embryo maturation programs have diversified between eudicots and *** diversification in crop species reflects the likely effects of domestication on seed quality traits that are determined during embryo maturation,and also assures seed germination in different environmental *** review describes the most important features of embryonic development in plants,and the scope and applications of genomics in plant embryo studies.

关键词： embryogenesis embryo patterning zygote genome activation transcription factors genomics transcriptomics

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The effect of fasting and body reserves on cola tolerance in 2 pit-building insect predators

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Current Zoology 2017年第3期63卷 287-294页

作者： Inon SCHARF alma DANIEL Heath Andrew MACMILLAN Noa KATZ Department of Zoology Faculty of Life Sciences Tel Aviv University POB 39040 69978 Tel Aviv Israel Department of Biology York University 4700 Keele St. Toronto Ontario Canada

Pit-building antlions and wormlions are 2 distantly-related insect species, whose larvae construct pits in loose soil to trap small arthropod prey. This convergent evolution of natural histories has led to additional similarities in their natural history and ecology, and thus, these 2 species encounter similar abiotic stress （such as periodic starvation） in their natural habitat. Here, we measured the cold tolerance of the 2 species and examined whether recent feeding or food deprivation, as well as body composition （body mass and lipid content） and condition （quantified as mass-to-size residuals） affect their cold tolerance. In contrast to other insects, in which food deprivation either enhanced or impaired cold tolerance, prolonged fasting had no effect on the cold tolerance of either species, which had similar cold tolerance. The 2 species differed, however, in how cold tolerance related to body mass and lipid content： although body mass was positively correlated with the wormlion cold tolerance, lipid content was a more reliable predictor of cold tolerance in the antlions. Cold tolerance also underwent greater change with ontogeny in wormlions than in antlions. We discuss possible reasons for this lack of effect of food deprivation on both species＇ cold tolerance, such as their high starvation tolerance （being sit-and-wait predators）.

关键词： chill coma deprivation ecophysiology fat content food hunger morphometrics Myrmeleontidae Vermileonidae.

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Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 484-490页

作者： Sergio Velázquez medina Ulises Portero Ajenjo Department of Electronics and Automatics Engineering Universidad de Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain School of Industrial and Civil Engineering University of Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain

Due to the low dispatchability of wind power,the massive integration of this energy source in power systems requires short-term and very short-term wind power output forecasting models to be as efficient and stable as possible.A study is conducted in the present paper of potential improvements to the performance of artificial neural network(ANN)models in terms of efficiency and ***,current ANN models have been developed by considering exclusively the meteorological information of the wind farm reference station,in addition to selecting a fixed number of time periods prior to the *** this respect,new ANN models are proposed in this paper,which are developed by:varying the number of prior 1-h periods(periods prior to the forecasting hour)chosen for the input layer parameters;and/or incorporating in the input layer data from a second weather station in addition to the wind farm reference *** has been found that the model performance is always improved when data from a second weather station are *** mean absolute relative error(MARE)of the new models is reduced by up to 7.5%.Furthermore,the longer the forecasting horizon,the greater the degree of improvement.

关键词： Artificial neural networks(ANN) wind power forecasting model performance wind power output

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Marine Metagenome as A Resource for Novel Enzymes

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Genomics, Proteomics & Bioinformatics 2015年第5期13卷 290-295页

作者： Amani D.alma'abadi Takashi Gojobori Katsuhiko Mineta Computational Bioscience Research Center (CBRC) King Abdullah University of Science and Technology (KAUST)

More than 99% of identified prokaryotes, including many from the marine environment, cannot be cultured in the laboratory. This lack of capability restricts our knowledge of microbial genetics and community ecology. Metagenomics, the culture-independent cloning of environmental DNAs that are isolated directly from an environmental sample, has already provided a wealth of information about the uncultured microbial world. It has also facilitated the discovery of novel bio- catalysts by allowing researchers to probe directly into a huge diversity of enzymes within natural microbial communities. Recent advances in these studies have led to a great interest in recruiting microbial enzymes for the development of environmentally-friendly industry. Although the metage- nomics approach has many limitations, it is expected to provide not only scientific insights but also economic benefits, especially in industry. This review highlights the importance of metagenomics in mining microbial lipases, as an example, by using high-throughput techniques. In addition, we dis- cuss challenges in the metagenomics as an important part of bioinformatics analysis in big data.

关键词： Microbial diversity Culture-independent studies Catalysis Lipase Biotechnology

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Using dummy data for RFID tag and reader authentication

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Digital Communications and Networks 2022年第5期8卷 804-813页

作者： Baha’A.Alsaify Dale R.Thompson Abdallah alma'aitah Jia Di Department of Network Engineering and Security Jordan University of Science and TechnologyIrbid21163Jordan Computer Science and Computer Engineering Department University of ArkansasFayetteville72701ARUSA

Radio-Frequency IDentification(RFID)technology is an essential enabler of a multitude of intelligent *** robust authentication of RFID system components is critical in providing trustworthy data delivery from/to *** this paper,we propose an authentication protocol based on monitoring the transmissions between readers and tags in the *** proposed authentication scheme is based on injecting decoys within the exchanged communications(between RFID readers and tags)and is used in the authentication ***,the proposed authentication scheme is mathematically modeled and validated using extensive *** simulations results show that the proposed scheme provides a 100%confidence level in the authentication of tags and detection of compromised readers.

关键词： RFID Authentication Dummy data Security Decoys

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Biodiesel production from waste frying oil in sub- and supercritical methanol on a zeolite Y solid acid catalyst

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Frontiers of Chemical Science and Engineering 2013年第4期7卷 401-407页

作者： Jorge medina-VALTIERRA Jorge RAMIREZ-ORTIZ Department of Chemical & Biochemical Engineering Aguascalientes Institute of Technology Aguascalientes Ags. 20256 M6xico Academic Unit of Chemical Sciences Autonomous University of Zacatecas Zac. 98160 Mexico

Waste frying oil （WFO） is a very important feedstock for obtaining biodiesel at low cost and using WFO in transesterification reactions to produce biodiesel helps eliminate local environmental problems. In this study biodiesel was produced from WFO in sub- and super- critical methanol on a zeolite Y solid acid catalyst. The procedure was optimized using a design of experiments by varying the methanol to WFO molar ratio, the reaction temperature, and the amount of catalyst. Typical biodiesel yields varied from 83 to nearly 100% with methyl esters content ranging from 1.41-1.66mol.L-~ and typical dynamic viscosities of 22.1-8.2 cE Gas chromatography was used to determine the molecular composition of the biodiesel. The reaction products contained over 82 wt-% methyl esters, 4.2 wt-% free acids, 13.5 wt-% monoglycer- ides, and 0.3 wt-% diglycerides. The transesterification of WFO with methanol around its critical temperature combined with a zeolite Y as an acid catalyst is an efficient approach for the production of biodiesel with acceptable yields.

关键词： biodiesel methanol critical temperature,waste frying oil zeolite Y

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Estimation in the Complementary Exponential Geometric Distribution Based on Progressive Type-II Censored Data

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Communications in Mathematics and Statistics 2020年第4期8卷 409-441页

作者： Ozlem Gürünlüalma Reza Arabi Belaghi Department of Statistics Faculty of SciencesMuğla SıtkıKoçman UniversityMuğlaTurkey Department of Statistics Faculty of Mathematical SciencesUniversity of TabrizTabrizIran

Complementary exponential geometric distribution has many applications in survival and reliability *** to its importance,in this study,we are aiming to estimate the parameters of this model based on progressive type-II censored *** do this,we applied the stochastic expectation maximization method and Newton-Raphson techniques for obtaining the maximum likelihood *** also considered the estimation based on Bayesian method using several approximate:MCMC samples,Lindely approximation and Metropolis-Hasting *** addition,we considered the shrinkage estimators based on Bayesian and maximum likelihood ***,the HPD intervals for the parameters are constructed based on the posterior samples from the Metropolis-Hasting *** the sequel,we obtained the performance of different estimators in terms of biases,estimated risks and Pitman closeness via Monte Carlo simulation *** paper will be ended up with a real data set example for illustration of our purpose.

关键词： Bayesian analysis Complementary exponential geometric(CEG)distribution Progressive type-II censoring Maximum likelihood estimators SEM algorithm Shrinkage estimator

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Evolving Decision Rules to Predict Investment Opportunities

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International Journal of Automation and computing 2008年第1期5卷 22-31页

作者： alma Lilia Garcia-almanza Edward P.K.Tsang Department of Computer Science University of EssexWivenhoe ParkColchester CO4 3SQUK

This paper is motivated by the interest in finding significant movements in financial stock prices. However, when the number of profitable opportunities is scarce, the prediction of these cases is difficult. In a previous work, we have introduced evolving decision rules （EDR） to detect financial opportunities. The objective of EDR is to classify the minority class （positive eases） in imbalaneed environments. EDR provides a range of classifications to find the best balance between not making mistakes and not missing opportunities. The goals of this paper are： 1） to show that EDR produces a range of solutions to suit the investor＇s preferences and 2） to analyze the factors that benefit the performance of EDR. A series of experiments was performed. EDR was tested using a data set from the London Financial Market. To analyze the EDR behaviour, another experiment was carried out using three artificial data sets, whose solutions have different levels of complexity. Finally, an illustrative example was provided to show how a bigger collection of rules is able to classify more positive eases in imbalanced data sets. Experimental results show that： 1） EDR offers a range of solutions to fit the risk guidelines of different types of investors, and 2） a bigger collection of rules is able to classify more positive eases in imbalanced environments.

关键词： Machine learning genetic programming (GP) classification imbalanced classes evolution of rules

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Sustainability of microporous polymers and their applications

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Science China Chemistry 2017年第8期60卷 1033-1055页

作者： Tamara L.Church alma Berenice Jasso-Salcedo Fredrik Bjrnerbck Niklas Hedin Department of Materials and Environmental Chemistry Stockholm University SE-106 91 Stockholm Sweden

Microporous polymers(MPs) are studied for their intriguing chemistry and physics as well as their potential application in catalytic transformations, gas-separation processes, water purification and so on. Here, we critically review MPs with respect to the sustainability aspects of their synthesis as well as their applications that have sustainable character. Some MPs have been synthesized from monomers derived from biomass resources, but there is certainly a large potential for further *** are also opportunities to improve the sustainability of MP synthesis in terms of the use of solvents, catalysts, and related aspects. The applications of MPs in processes related to sustainability depend upon multiple properties. A rich and flexible chemistry is important to applications as catalysts for, among other useful reactions, the photoreduction of CO_2 and selective oxidation. The(ultra)micropore volume of MPs are crucial in gas-separation applications such as CO_2 capture, and the chemisorption of CO_2 on MP-tethered alkylamines could offer a means to remove that gas from dilute mixtures. When it comes to the storage of H_2 and CH_4 in MPs for onboard use in fuel cell or biogas cars, volumetric capacity is paramount, meaning that the density of the MPs must be considered. Finally, for use in separation and purifications from liquid mixtures(aqueous or hydrocarbon-based), crosslinked MPs are more limited than the solution-processable MPs that can be more easily processed into films and membranes.

关键词： microporous polymers biomass sustainability CO2 capture catalysis H2 storage CH4 storage separation purification

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Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits

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Plant Phenomics 2023年第4期5卷 728-745页

作者： Rahul Chandnani Tongfei Qin Heng Ye Haifei Hu Karim Panjvani Mutsutomo Tokizawa Javier Mora Macias alma arment. medina Karine C.Bernardino Pierre-Luc Pradier Pankaj Banik Ashlyn Mooney Jurandir V.Magalhaes Henry T.Nguyen Leon V.Kochian Global Institute for Food Security University of SaskatchewanSaskatoonSKCanada NRGene Canada 110 Research Dr Suite 101SaskatoonSKCanada Division of Plant Sciences and Technology University of MissouriColumbiaM065211USA School of Biological Sciences The University of Western AustraliaCrawleyWA 6009Australia Rice Research Institute Guangdong Academy of Agricultural Sciences&Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China(Co-construction by Ministry and Province)Ministry of Agriculture and Rural Affairs&Guangdong Key Laboratory of New Technology in Rice Breeding&Guangdong Rice Engineering LaboratoryGuangdongChina Embrapa Maize and Sorghum Sete LagoasBrazil

Nutrient-efficient root system architecture(RSA)is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition *** variants shaping soybean RSA is key in improving nutrient and water ***,we report on the use of an improved 2-dimensional high-throughput root phenotyping platform that minimizes background noise by imaging pouch-grown root systems submerged in *** also developed a background image cleaning Python pipeline that computationally removes images of small pieces of debris and filter paper fibers,which can be erroneously quantified as root *** platform was used to phenotype root traits in 286 soybean lines genotyped with 5.4 million single-nucleotide *** was a substantially higher correlation in manually counted number of root tips with computationally quantified root tips(95%correlation),when the background was cleaned of nonroot materials compared to root images without the background corrected(79%).Improvements in our RSA phenotyping pipeline significantly reduced overestimation of the root traits influenced by the number of root ***-wide association studies conducted on the root phenotypic data and quantitative gene expression analysis of candidate genes resulted in the identification of 3 putative positive regulators of root system depth,total root length and surface area,and root system volume and surface area of thicker roots(DOF1-like zinc finger transcription factor,protein of unknown function,and C2H2 zinc finger protein).We also identified a putative negative regulator(gibberellin 20 oxidase 3)of the total number of lateral roots.

关键词： Python Root submerged

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