371 research outputs found
Dimeric self-assembly of pyridyl guanidinium-carboxylates in polar solvents
No full textA series of pyridyl guanidinium–carboxylates has been prepared and the dimeric self-assembly of these studied in H2O/DMSO mixtures, principally using dilution isothermal calorimetry. Compounds 5 and 6, incorporating an aromatic ring in the “tethering” region between the guanidinium and carboxylate groups, demonstrate the strongest dimerisation in neat DMSO. X-ray crystal structures of 5 and 6 reveal two different dimerisation architectures in the solid-state, but both involve carboxylate–guanidinium salt bridges as anticipated, and ?–? interactions. Compounds 10–16 incorporating peptidic fragments between the guanidinium and carboxylate groups, showed reduced dimerisation strength with increased amino acid content, but also sustained dimerisation under increasingly aqueous conditions, up to 50?% H2O/DMSO in the case of 14 and 15. The extent of our study in H2O/DMSO mixtures was determined by substrate solubility of 10–16, and not the limit of self-assembly.<br/
Genetic Divergence in Brassica napus L. Germplasm as Determined by Quantitative Attributes
No full textBrassica napus L., a candidate with high yield and good quality oil potential was evaluated for genetic divergence for
two years on two locations. A collection of 328 lines belonging to various origins along with a check variety Faisal Canola
was sown in the field following augmented design and phenotyped for eighteen quantitative traits. The recorded data when
statistically analyzed inferred that, days to flower initiation, 50 % flowering, flower completion, 50 % maturity were main
contributors of variations in the germplasm and were highly related with pod dehiscence and yield. Furthermore, BN328,
BN371, BN494, BN618, BN625 and BN627 were found diverse lines in both years. The outcomes from this study are very
helpful to proceed for any Oilseed rape breeding programs to improve yield
Dimeric supramolecular motifs of two carboxylate-guanidinium compounds
No full textThe structures of N-benzyl-N'-{6-[(4 carboxylatobenzyl)aminocarbonyl]-2-pyridylmethyl}guanidinium, C23H23N5O3, (I), and N-[2-(benzylaminocarbonyl)ethyl]-N'-{6-[(4-carboxylatobenzyl)aminocarbonyl]-2-pyridylmethyl}guanidinium monohydrate, C26H28N6O4·H2O, (II), both form three-dimensional supramolecular hydrogen-bonded networks based on a dimeric primary synthon involving carboxylate-guanidinium linkages. The differences in the geometries and hydrogen-bonding connectivities are driven by the additional methylpropionamide group and water of crystallization of (II
Breeding productivity of egrets and herons at six sites in Asia
No full textProductivité des aigrettes et hérons nicheurs en six sites asiatiques. — La production, la taille des oeufs et les conditions corporelles des poussins ont été étudiées chez le Héron garde-boeufs (Bubulcus ibis), l’Aigrette intermédiaire (Egretta intermedia), l’Aigrette garzette (Egretta garzetta), le Crabier chinois (Ardeola bacchus) et le Bihoreau gris (Nycticorax nycticorax) en deux sites de Chine centrale et dans quatre autres au Pakistan. La production en Chine s’est avérée très forte, plus importante qu’au Pakistan, probablement en relation avec une grande disponibilité de zones humides pour l’alimentation. La forme sombre de l’Aigrette garzette de la côte du Pakistan présentait une productivité significativement plus faible que celle des formes blanches.Fasola Mauro, Canova Luca, Boncompagni Eleonora, Muhammad Ashiq, Najam Rahat, Wei Liu, Dong Yuanhua, Zhang Yingmei. Breeding productivity of egrets and herons at six sites in Asia. In: Revue d'Écologie (La Terre et La Vie), tome 62, n°4, 2007. pp. 369-374
Avian feathers as a non-destructive bio-monitoring tool of trace metals signatures: A case study from severely contaminated areas
No full textHigh Performance Video Stream Analytics System for Object Detection and Classification
No full textDue to the recent advances in cameras, cell phones and camcorders, particularly the resolution at which they can record an image/video, large amounts of data are generated daily. This video data is often so large that manually inspecting it for object detection and classification can be time consuming and error prone, thereby it requires automated analysis to extract useful
information and meta-data. The automated analysis from video streams also comes with numerous challenges such as blur content and variation in illumination conditions and poses. We investigate an automated video analytics system in this thesis which takes into account the characteristics from both shallow and deep learning domains. We propose fusion of features
from spatial frequency domain to perform highly accurate blur and illumination invariant object classification using deep learning networks. We also propose the tuning of hyper-parameters associated with the deep learning network through a mathematical model. The mathematical model used to support hyper-parameter tuning improved the performance of the proposed system during training. The outcomes of various hyper-parameters on system's performance are compared. The parameters that contribute towards the most optimal performance are selected for the video object classification. The proposed video analytics system has been demonstrated to process a large number of video streams and the underlying infrastructure is able to scale based on the number and size of the video stream(s) being processed. The extensive experimentation on publicly available image and video datasets reveal that the proposed system is significantly more accurate and scalable and can be used as a general purpose video analytics system
Empowering Critical skills of Teaching and Learning with Artificial Intelligence (AI) tools
No full textThis collaborative manual on AI tools in education has been developed by a team of experts in the field. The primary developers of this draft are Prof Dr. Liam Murray and Muhammad Irfan from the University of Limerick. The manual has been specifically created to help educators and learners around the world understand the key concepts of AI tools in education, with a particular focus on the higher education environment in Central Asia. Recently, a collaborative initiative among Central Asian universities has been launched to equip faculty and students, mostly in the social sciences, with the ongoing revolution of AI tools. This manual is just one of many resources that aim to support teachers and learners in Central Asia and beyond, helping them to develop critical thinking and integrate AI into the teaching and learning process. Contributions to this manual were made by several experts in the field. Key notes were provided by Fahad Aldulaylan and Yahya AlQahtani, while Dr. Muhammad Sajjad focused on developing the limitations and analysis section. Engr. Francis Ashiq provided the technical layout to enhance readers' understanding of AI tools in education, and Bronwyn April shared her expertise on the social aspect of AI in education, teaching, and learning. Additionally, Niamh O'Brien provided support in the graphical aspect of teaching and learning. This manual is available for anyone to use for research, teaching, or academic purposes, but it is important to acknowledge the authors for their contributions.</p
کسی بھی زبان میں لکھی جانے والی طویل ترین غزل
No full textMr. Pirzada Ashiq Kiranvi, a poet from Karachi, has done a feat in Urdu literature that perhaps no other poet has been able to do for centuries. He has written the longest ghazal in any language. His ghazal contains thirty thousand verses. Urdu has the honor of having the longest ghazal ever written in the world. A ghazal of thirty thousand (30,000) verses in the line of "Bolta Hai" has been generated by Pirzada Ashiq Kiranvi. In this articlea the author tried to introduce this Ghazal and its poet
Bed load transport model for field conditions – Using characteristic diameter approach
No full textLink to publisher's homepage at http://www.myiem.org.my/A deterministic bed load transport model based on mixed-size (non-uniform) bed material (MBB) has been developed using
characteristic particle diameter and published laboratory and field data from the North American and European continents
(slope ranges from 0.0023 to 0.047 m/m and bed material size, D50 from 0.033 to 0.106 m) and excess discharge theory. Before
developing the model performance of the existing bed load transport models was tested and was generally found to be poor,
though discharge based models performed relatively better. In this model fitted values of the relationship exponent ( β) were
used instead of considering a fixed value, as in the existing models. Performance of the model was found satisfactory when
tested with the field data and compared with another existing model. Subsequently, the model has been extended through the
involvement of an active bed width function for non-uniform cross-sectional flow depth (single channel) rivers and for the
braided rivers
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