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Analysis of bulked segregants to identify molecular markers linked with cocoon weight and cocoon shell weight in the silkworm Bombyx mori L

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Journal of Zhejiang University Science 2002年第3期3卷 348-354页

作者： Sateeshkumar 徐孟奎陈玉银 Ponnuvel,k.M Datta,r.k DepartmentofSericulture&Apiculture ZhejiangUniversityHangzhou310029.China MolecularBiologyLaboratory CentralSerlculturalResearchandTrainingInstituteMysore570008India

Two silkworm strains viz, B20 A (high cocoon shell ratio) and *** (low cocoon shell ratio) were sib mated for 10 generations to determine the homozygosis. Both bulked segregant analysis(BSA) and near isogenic lines (NIL) studies were done to identify the rFLP markers closely linked to cocoon shell parameters. Three hundred and fifty two random clones were identified as the low copy number sequence and used for identification of restriction Fragment Length Polymorphic (rFLP) marker linked to cocoon weight and cocoon shell character. In the bulk segregant analysis, DNA from the parents (B20 A, ***), F 1 and F 2 progeny of high shell ratio (HSr) and low shell ratio (LSr) were screened for hybridization with the random clones. Polymorphic banding pattern achieved through southern hybridization with different probes indicated the probable correlation of polymorphism with high and low cocoon shell character which are possible landmarks in identifying the putative marker(s) for the cocoon shell character. Out of the 100 probes tried with parents, F 1, F 2 and their bulks, 10 probes were found to be closely linked to cocoon shell characters.

关键词： restriction fragment length polymorphic (rFLP) Molecular marker Bombyx mori L Shell ratio Bulked segregant analysis(BSA) Near isogenic lines

QSAr analysis on benzodithiazine derivatives as HIV-1 integrase inhibitors

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Asian Pacific Journal of Tropical Medicine 2009年第3期2卷 15-22页

作者： ravichandran V Jain A Mourya V.k Agrawal r.k Department of Pharmaceutical Chemistry Faculty of PharmacyAIMST UniversitySemelingKedahMalaysia Pharmaceutical Chemistry research Laboratory Dept.of Pharmaceutical SciencesDr.Hari Singh Gour UniversitySagar(M.P)-470 003India Govt.College of Pharmacy OsmanpuraAurangabadMaharashtraIndia

Objective:Inhibition of HIV-1 integrase is an important strategy for the treatment of HIV and ***-fore, HIV-1 integrase inhibitory activity of 3-aroyl-1,1-dioxo-1,4,2-benzodithiazines has been analyzed with different physicochemical ***:In the present work,quantitative structure activity relationship studies were performed on a series of benzodithiazines as HIV-1 integrase inhibitors using the modeling software Win CAChe version *** linear regression analysis was performed to derive quantitative structure activity relationship models which were further evaluated for statistical significance and predictive power by internal and external ***:The best QSAr models were having good correlation coefficient (r) with low standard error of estimation(SEE) and cross validated square of correlation coefficient (q^2 ).The robustness of the models was checked by Y-randomization test and they were identified as good predictive *** model for HIV integrase(wt) inhibitory activity of benzodithiazines suggest that the increase of dipole moment(Z) of molecules leads to reduce 3’processing and strand transfer inhibitory activity, substitution with high electro positive groups is conducive for the 3’processing inhibitory activity,and the increase in heat of formation is favorable for 3 -processing and strand transfer inhibitory ***: The model for HIV integrase(C65s) inhibitory activity of benzodithiazines suggest that the increase of dipole moment(X) of molecules leads to reduce 3’processing and strand transfer inhibitory activity,and the substitution with high hydrophobic groups is conducive for the 3’processing and strand transfer inhibitory.

关键词： Human immunodeficiency virus Integrase Inhibition Quantitative Structure Activity relationship Benzodithiazines

Modeling the rate of corrosion of carbon steel using activated diethanolamine solutions for CO2 absorption

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Chinese Journal of Chemical Engineering 2020年第8期28卷 2099-2110页

作者： Lubna Ghalib Ahmed Abdulkareem Brahim Si Ali Shaukat Ali mazari Materials Engineering Department Mustansiriyah UniversityBaghdad 14022Iraq Mathematics Science Directorate General of Education Rusafa 1BaghdadIraq Department of Chemical Engineering University of Malaya50603 Kuala LumpurMalaysia Department of Chemical Engineering Dawood University of Engineering and TechnologyKarachi 74800Pakistan

A mechanistic model is developed to investigate the influence of an activator on the corrosion rate of carbon steel in the absorption processes of carbon dioxide(CO2).Piperazine(PZ)is used as the activator in diethanolamine(DEA)aqueous *** developed model for corrosion takes into consideration the effect of fluid flow,transfer of charge and diffusion of oxidizing agents and operating parameters like temperature,activator concentration,CO2 loading and *** study consists of two major models:Vapor–liquid Equilibrium(VLE)model and electrochemical corrosion *** electrolyte-NrTL equilibrium model was used for determination of concentration of chemical species in the bulk *** results of speciation were subsequently used for producing polarization curves and predicting the rate of corrosion occurring at the surface of *** increase in concentration of activator,increases the rate of corrosion of carbon steel in mixtures of activated DEA.

关键词： CO2 capture CO2 corrosion Carbon steel Diethanolamine Piperazine Electrochemical model

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 713-732页

作者： Petr Opela Josef Walek Jaromír.kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of Sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree regression(DTr),and Gaussian Process regression(GPr)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPr method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior

regression analysis of squeezing-induced hybrid nanofluid flow in Darcy-Forchheimer porous medium

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 193-208页

作者： k.MUHAMMAD M.SArFrAZ Department of Humanities and Sciences School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Mathematics Quaid-i-Azam University

This article presents a mathematical model addressing a scenario involving a hybrid nanofluid flow between two infinite parallel plates. One plate remains stationary, while the other moves downward at a squeezing velocity. The space between these plates contains a Darcy-Forchheimer porous medium. A mixture of water-based fluid with gold(Au) and silicon dioxide(Si O2) nanoparticles is formulated. In contrast to the conventional Fourier's heat flux equation, this study employs the Cattaneo-Christov heat flux equation. A uniform magnetic field is applied perpendicular to the flow direction, invoking magnetohydrodynamic(MHD) effects. Further, the model accounts for Joule heating, which is the heat generated when an electric current passes through the fluid. The problem is solved via NDSolve in MATHEMATICA. Numerical and statistical analyses are conducted to provide insights into the behavior of the nanomaterials between the parallel plates with respect to the flow, energy transport, and skin *** findings of this study have potential applications in enhancing cooling systems and optimizing thermal management strategies. It is observed that the squeezing motion generates additional pressure gradients within the fluid, which enhances the flow rate but reduces the frictional drag. Consequently, the fluid is pushed more vigorously between the plates, increasing the flow velocity. As the fluid experiences higher flow rates due to the increased squeezing effect, it spends less time in the region between the plates. The thermal relaxation, however, abruptly changes the temperature, leading to a decrease in the temperature fluctuations.

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Prediction of pavement roughness using a hybrid gene expression programming-neural network technique

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Journal of Traffic and Transportation Engineering(English Edition) 2016年第5期3卷 448-455页

作者： Mehran mazari Daniel D.rodriguez Department of Civil Engineering California State University Los Angeles Department of Civil Engineering The University of Texas at El Paso

Effective prediction of pavement performance is essential for transportation agencies to appropriately strategize maintenance, rehabilitation, and reconstruction of roads. One of the primary performance indicators is the international roughness index （IrI） which rep- resents the pavement roughness. Correlating the pavement roughness to other perfor- mance measures has been under continuous development in the past decade. However, the drawback of existing correlations is that most of them are not practical yet reliable for prediction of roughness. In this study a novel approach was developed to predict the IrI, utilizing two data sets extracted from long term pavement performance （LTPP） database. The proposed methodology included the application of a hybrid technique which combines the gene expression programming （GEP） and artificial neural network （ANN）. The developed algorithm showed reasonable performance for prediction of IrI using traffic parameters and structural properties of pavement. Furthermore, estimation of present IrI from his- torical data was evaluated through another set of LTPP data. The second prediction model also depicted a reasonable performance power. Further extension of the proposed models including different pavement types, traffic and environmental conditions would be desir- ab]e in future studies.

关键词： International roughness index PavementGene expression programming Artificial neural network Long term pavement performance

Emerging potential of progranulin-dependent SorCS2 signaling in healthy and diseased nervous systems

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Neural regeneration research 2025年第9期20卷 2591-2593页

作者： Alena Salasova Anders Nykjær Danish research Institute of Translational Neuroscience DANDrITE-Nordic EMBL Partnership for Molecular Medicine and Centre of Excellence PROMEMODepartment of BiomedicineAarhus UniversityAarhusDenmark

The formation of the mammalian nervous system and its maturation into sensory,motor,cognitive,and behavioral circuits is a complex process that begins during early embryogenesis and lasts until young *** neurodevelopm... 详细信息

关键词： progr jointly CS2

Effects of P301L-TAU on post-translational modifications of microtubules in human iPSC-derived cortical neurons and TAU transgenic mice

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Neural regeneration research 2025年第8期20卷 2348-2360页

作者： Mohamed Aghyad Al kabbani Christoph köhler Hans Zempel Institute of Human Genetics Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany Center for Molecular Medicine Cologne(CMMC) University of CologneCologneGermany Center Anatomy Department ⅡMedical FacultyUniversity of CologneCologneGermany

TAU is a microtubule-associated protein that promotes microtubule assembly and stability in the *** is missorted and aggregated in an array of diseases known as *** are essential for neuronal function and regulated via a complex set of post-translational modifications,changes of which affect microtubule stability and dynamics,microtubule interaction with other proteins and cellular structures,and mediate recruitment of microtubule-severing *** impairment of microtubule dynamics causes neuronal dysfunction,we hypothesize cognitive impairment in human disease to be impacted by impairment of microtubule *** therefore aimed to study the effects of a disease-causing mutation of TAU(P301L)on the levels and localization of microtubule post-translational modifications indicative of microtubule stability and dynamics,to assess whether P301L-TAU causes stability-changing modifications to *** investigate TAU localization,phosphorylation,and effects on tubulin post-translational modifications,we expressed wild-type or P301L-TAU in human MAPT-kO induced pluripotent stem cell-derived neurons(i Neurons)and studied TAU in neurons in the hippocampus of mice transgenic for human P301L-TAU(p r5 mice).Human neurons expressing the longest TAU isoform(2N4r)with the P301L mutation showed increased TAU phosphorylation at the AT8,but not the p-Ser-262 epitope,and increased polyglutamylation and acetylation of microtubules compared with endogenous TAU-expressing neurons.P301L-TAU showed pronounced somatodendritic presence,but also successful axonal enrichment and a similar axodendritic distribution comparable to exogenously expressed 2N4r-wildtype-TAU.P301L-TAU-expressing hippocampal neurons in transgenic mice showed prominent missorting and tauopathy-typical AT8-phosphorylation of TAU and increased polyglutamylation,but reduced acetylation,of microtubules compared with non-transgenic *** sum,P301L-TAU results in changes in micr

关键词： human induced pluripotent stem cell microtubules P301L pr5 mice TAU tauopathy tubulin code

Oxidation of propane over substituted keggin phosphomolybdate salts

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Journal of Natural Gas Chemistry 2009年第3期18卷 319-324页

作者： T.mazari C.roch.Marchal S.Hocine N.Salhi C.rabia Laboratoire de Chimie du Gaz Naturel Faculté de ChimieUniversité des Sciences et de la Technologie Houari Boumediéne ILV-UMr 8180 CNrS-Université de Versailles-St Quentin-en-Yvelines Batiment Lavoisier45 avenue des Etats-Unis78035 Versailles CedexFrance

Ammonium salts, （NH4）6HPMo11MO40 （M = Ni, Co, Fe）, have been investigated for the oxidation of propane, with molecular oxygen, at temperature ranging between 380 ℃ and 420 ℃ after in-situ pre-treatment performed at two heating rate of 5 or 9 ℃/min. They were characterized by BET method, XrD, 31p NMr, UV-Vis and Ir techniques. The catalysts were found active in the propane oxidation and selective to propene or acrolein, in particular for samples pre-treated with the heating rate of 9 ℃/min.

关键词： propane oxidation propene acrolein polyoxometalates phosphomolybdate