نتایج جستجو برای: chir

تعداد نتایج: 376  

Journal: :Journal of medicinal chemistry 1994
R N Zuckermann E J Martin D C Spellmeyer G B Stauber K R Shoemaker J M Kerr G M Figliozzi D A Goff M A Siani R J Simon

Screening a diverse, combinatorial library of ca. 5000 synthetic dimer and trimer N-(substituted)glycine "peptides" yielded novel, high-affinity ligands for 7-transmembrane G-protein-coupled receptors. The peptoid library was efficiently assembled using readily available chemical building blocks. The choice of side chains was biased to resemble known ligands to 7-transmembrane G-protein-coupled...

Journal: :Complex Systems 1990
David Saad Emanuel Marom

Learning by choice of internal representations (CHIR) is a learning algorithm for a multilayer neural network system, suggested by Grossman et al, [1,2) and based upon determining the internal representations of the system as well as its internal weights. In this paper, we propose an energy minimization approach whereby the internal representations (IR) as well as the weight matrix are allowed ...

زمینه و هدف: آثار نامطلوب احتمالی توسعه صنعت آب­زی پروری، لزوم توجه به معیارهای زیست محیطی را آشکار می­سازد. بنابراین این پژوهش با هدف محاسبه شاخص­های تنوع زیستی آلفا برای فون ماکروبنتیک در پاسخ به پساب کارگاه پرورش ماهی قزل­آلا مستقر در رودخانه گاماسیاب در سال 1392 انجام یافت. روش بررسی: نمونه­برداری از 4 ایستگاه در ورودی، خروجی، 500 و هزار متری کارگاه در سه تکرار از کناره­ها و بخش میانی رودخا...

B. Dass B. Gupta,

In the present study basal area and Importance Value Index (IVI) attributes of herbage were investigated in chir pine (Pinus roxburghii Sargent) stands of three different ages and also in open grassland in the sub-tropical region of Himachal Pradesh (India) during growing season (June to September). A higher basal area of the herbage was recorded in open grassland as compared to chir pine stand...

2014
Meryeme Hadni

Feature Selection benefits a learner by eliminating non-informative or noisy features and by reducing the overall feature space to a manageable size. The Term Feature Selection is used in Machine Learning for the process of selecting a subset of features used to represent the text. In this paper, we propose a new approach for Text Representation based on incorporating background Knowledge Arabi...

Journal: :Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology 2005
Kirti Chadha Kazi Ramesh Deshpande Rajeev Soman Murad Lala Sudeep Shah

1. Gorgone S, Di Pietro N, Rizzo AG, Melita G, Calabro G, Sano M, et al. Mechanical intestinal occlusion due to phytobezoars. G Chir 2003;24:239-42. 2. Aytac B; Cakar S. Bezoar: an uncommon cause of intestinal obstruction. Acta Gastroenterol Belg 2001;64:295-7. 3. Steinberg R, Schwarz M, Gelber E, Lerner A, Zer M. A rare case of colonic obstruction by ‘cherry tomato’ phytobezoar: a simple techn...

Journal: :Complex Systems 1989
Tal Grossman

A new learning algorithm, learning by choice of int ern al repr esentations (CHIR), was recently int roduced. Th e basic version of thi s algoriths was developed for a two-layer, single-out put , feedforward network of binary neurons . This paper presents a generalized version of the CHIR algorithm th at is capable of t raining mult ipleoutput net works. A way to ada pt the algorit hm to mult i...

Journal: :Medical History 1972
T C Gray

ORMROD, H. A., Liverpool Royal Institution, Liverpool University Press, 1953. ORMEROD, H. A., Early History of the Liverpool Medical Schoolfrom 1834-1877, Liverpool, [n.d.]. PIcroN, J. A., Architectural History of Liverpool, Liverpool, 1858. PIcroN, J. A., Memorials of Liverpool, 2 vols., London, 1873. Report of The Select Committee on Anatomy, 1828. SIMSON, G., 'Liverpool of our founders', Lpo...

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