Tantasawat PA, K Lunwongsa, T Linthaisong, P Wirikitgul, N Campatong, N Talpolkrung, A Tharapreuksapong, O Poolsawat, A Khairum, A Sorntip, C Kativat

Phyton-International Journal of Experimental Botany, Vol.87, pp. 162-170, 2018, DOI:10.32604/phyton.2018.87.162

Abstract Genetic diversity and relatedness of 17 water primrose (Ludwigia hyssopifolia) accessions in Thailand were estimated using morphological characters and random amplified polymorphic DNA (RAPD) markers. Eight morphological characters were diverse among the accessions. However, some accessions could not be distinguished from one another based on these morphological characters alone. Unweighted pair-group arithmetic average (UPGMA) analysis of these characters separated these 17 accessions into 2 major clusters. Among the 5 RAPD primers used, a total of 68 fragments (150 to 2000 bp) were amplified, showing a polymorphism percentage of 80%. The polymorphic information content (PIC) among accessions… More >

Xin ZM^1,2, MH Liu², Q Lu^1,3, CA Busso⁵, YJ Zhu^1,3, Z Li², YR Huang², XL Li2, FM Luo², F Bao¹, JQ Qian^4*, YH Li^1,3*

Phyton-International Journal of Experimental Botany, Vol.87, pp. 144-155, 2018, DOI:10.32604/phyton.2018.87.144

Abstract Leaf δ¹³C is widely used to explain plant strategies related to resource availability in different environments. However, the coupled response of leaf δ¹³C to precipitation and temperature as well as the relationship between leaf δ¹³C and leaf traits remain unclear. The leaf δ¹³C and its relationship with leaf traits [leaf size (LS), leaf length (LL), leaf width (LW), leaf length to width ratio (L:W), specific leaf area (SLA) and mass-based leaf nitrogen concentration (N_mass)] were investigated on the dominant shrub species Nitraria tangutorum Bobr. in the arid region (Dengkou and Minqin) of northwestern China under the simulated increasing precipitation… More >

Han DY^1,2, YF Yang²

Phyton-International Journal of Experimental Botany, Vol.87, pp. 113-122, 2018, DOI:10.32604/phyton.2018.87.113

Abstract Rapid and precise assessment of biodiversity is a central issue in conservation biology and biodiversity science. Higher taxonomic units and life form-based morphospecies were utilised to assess plant diversity patterns at the habitat scale in temperate meadow steppe, Songnen Plain, China. Patch area, taxonomic composition (families and genera) and life form (based on Raunkiaer’s life forms, and stem and root growth forms) were recorded in five communities. Taxonomic unit-based hierarchical diversity indices (HDI) and life form-based hierarchical diversity indices (HLDI) were calculated. Twenty-six families, 67 genera, and 87 species were recorded in the five communities.… More >

Chel-Guerrero LD¹, R Gómez-Cansino², SL Gúzman-Gutierrez³, MG Campos-Lara⁴, E Saury-Duch¹, F Díaz de León Sánchez⁵, R Reyes-Chilpa⁶, JA Mendoza-Espinoza⁷

Phyton-International Journal of Experimental Botany, Vol.87, pp. 68-71, 2018, DOI:10.32604/phyton.2018.87.068

Abstract The objective of this study was to investigate extracts from the peels of Annona squamosa L. (purple sugar apple), Annona reticulata L. (custard apple), Chrysophyllum cainito L. (green star apple), and Melicoccus bijugatus Jacq. (mamoncillo), as potential sources of anti-HIV-1 agents. Methanolic extracts from the peels of the aforementioned tropical fruits were obtained by maceration. Antiviral activity was evaluated through HIV-1 RT inhibition by extracts, using a non-radioactive immuno/colorimetric assay (Lenti RT Activity Assay, Cavidi Tech). Assay was performed according to the protocol provided by the manufacturer. Extracts from the peels of A. squamosa, A. reticulata, and C. cainito showed high More >

Ithurrart LS^1,2, CA Busso^1,2, YA Torres^1,3, DV Peláez^1,2,3, H Giorgetti⁴, G Rodríguez⁴, ML Ambrosino^2,5

Phyton-International Journal of Experimental Botany, Vol.87, pp. 51-59, 2018, DOI:10.32604/phyton.2018.87.051

Abstract Plant competition for soil resources is common in semiarid rangelands. Plants have various, alternative mechanisms to deal with soil resource acquisition. They include (1) length, weight and proliferation of roots, (2) root length density, and (3) root colonization by arbuscular mycorrhiza. In rangelands of Argentina, plants are exposed to herbivory after natural fires. As a result, knowledge on how these disturbances impact root traits is important for outlining guidelines focused on rangeland management and improvement. Our aim was to analyze the effects of defoliation after a controlled burning on root traits (1) to (3) on… More >

Zafar-ul-Hye M¹, A Nasir¹, M Aon¹, S Hussain¹, M Ahmad², I Naz¹

Phyton-International Journal of Experimental Botany, Vol.87, pp. 25-31, 2018, DOI:10.32604/phyton.2018.87.025

Abstract Abiotic stresses like salt stress and soil compaction are responsible for increased ethylene production which may adversely affect crop growth. A field experiment was conducted to evaluate the response of seed inoculation with ACC-deaminase containing rhizobacteria (Pseudomonas fluorescens and Pseudomonas syringae) in the presence of recommended or half of a recommended rate of inorganic fertilizers at different growth stages of fodder maize in a compacted saline-sodic soil. At both fertilizer rates, seed inoculation with P. fluorescens and P. syringae significantly improved all growth parameters over the control treatment. After 30, 60 and 75 days of sowing, treatment with recommended… More >

Ling Zhang^{1, 2}, Xiaoyan Lei¹, Jian Jiang², Qingsong Feng¹

Sound & Vibration, Vol.52, No.5, pp. 22-27, 2018, DOI:10.32604/sv.2018.04058

Abstract Underground railway vibration source strength is one of the key values used for environmental impact assessment and the evaluation of mitigation measure’s performance. However, currently there is no international standard of measuring the underground railway vibration source strength for such purposes. The available local standards and industrial guidelines do not agree on measurement locations as well as the metrics for presenting the source strength. This has caused many confusions. This paper aims to study the suitable measurement location and metrics using the data from a large scale field-testing carried out at the Nanchang underground railway… More >

Shaofei Ren^1,2, Guorong Chen² , Tiange Li² , Qijun Chen², Shaofan Li^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 287-307, 2018, DOI:10.31614/cmes.2018.04697

Abstract In this work, we have developed a novel machine (deep) learning computational framework to determine and identify damage loading parameters (conditions) for structures and materials based on the permanent or residual plastic deformation distribution or damage state of the structure. We have shown that the developed machine learning algorithm can accurately and (practically) uniquely identify both prior static as well as impact loading conditions in an inverse manner, based on the residual plastic strain and plastic deformation as forensic signatures. The paper presents the detailed machine learning algorithm, data acquisition and learning processes, and validation/verification More >

Fuyao Yan^{1, #}, Yu hin Chan^2,#, Abhinav Saboo³ , Jiten Shah⁴, Gregory B. Olson^{1, 3}, Wei Chen^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 343-366, 2018, DOI:10.31614/cmes.2018.04452

Abstract Predicting the mechanical properties of additively manufactured parts is often a tedious process, requiring the integration of multiple stand-alone and expensive simulations. Furthermore, as properties are highly location-dependent due to repeated heating and cooling cycles, the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification, compounding the computational expense. This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels, a type of machine learning model for statistical inference with limited data. The metamodels can predict the varying properties… More >

Lamia Bouafif¹, Noureddine Ellouze²

Sound & Vibration, Vol.52, No.6, pp. 2-10, 2018, DOI:10.32604/sv.2018.02410

Abstract Sound indexing and segmentation of digital documents especially in the internet and digital libraries are very useful to simplify and to accelerate the multimedia document retrieval. We can imagine that we can extract multimedia files not only by keywords but also by speech semantic contents. The main difficulty of this operation is the parameterization and modelling of the sound track and the discrimination of the speech, music and noise segments. In this paper, we will present a Speech/Music/Noise indexing interface designed for audio discrimination in multimedia documents. The program uses a statistical method based on More >