نتایج جستجو برای: extracted k r2078

تعداد نتایج: 512040  

Background & Aim: Deviation from the original shape of the canal leads to poor filling and lack of proper canal seal and consequently to the failure of root treatment The aim of this experimental study was to determine the extent of apical transportation after instrumentation with hand K-Flexofile and BioRace rotary instruments by cone-beam computed tomography (CBCT). Material and Methods: In t...

2002
Sergey A. Melikhov Roman V. Mikhailov

Let Gk denote the quotient of the fundamental group G of a link in S 3 by the product of the (k + 2)-nd lower cental series terms of the normal closures of meridians, k > 0. In contrast to a theorem of Waldhausen, we show that Gk is the finest (in certain sense) quotient of G, invariant under k-quasi-isotopy (which is a higher order analogue of link homotopy, studied in [MR1]) and at the same t...

Journal: :Journal of Oleo Science 2002

Journal: :The Journal of the Kyushu Dental Society 1956

1999
James Caldwell

This paper presents a formalization of a sequent presentation of intuitionisitic propositional logic and proof of decidability. The proof is implemented in the Nuprl system and the resulting proof object yields a “correct-by-construction” program for deciding intuitionisitc propositional sequents. The extracted program turns out to be an implementation of the tableau algorithm. If the argument ...

Journal: :مدیریت صنعتی 0
سید محمود قاضی میرسعید دانشجوی کارشناسی ارشد، دانشکده مهندسی صنایع، دانشگاه خواجه نصیرالدین طوسی، تهران، ایران امیرعباس نجفی استادیار دانشکدة مهندسی صنایع، دانشگاه خواجه نصیرالدین طوسی، تهران، ایران حمید شهریاری دانشیار دانشکده مهندسی صنایع، دانشگاه خواجه نصیرالدین طوسی، تهران، ایران

one of the most important problems in the system reliability optimization is redundancy allocation problem that has been studied in different system configurations. k-out-of-n structure is a general system configuration and offers enhanced capabilities for analyzing more design problems. hence, in this paper, the redundancy allocation problem of k-out-of-n systems is studied. in the most previo...

Journal: :journal of cell and molecular research 0
yahya mohammadi ali asghar aslaminejad mohammad reza nassiry ali esmailizadeh koshkoieh

the purpose of this study was to investigate the polymorphism of k-casein (k-cn), β-lactoglobulin (b-lg) and leptin (lp) genes in iranian holstein cattle by polymerase chain reaction-restriction fragment length polymorphism (pcr-rflp) technique. dna was extracted from blood samples of 139 cows using a modified phenol chloroform method. association between k-cn, b-lg and lp genes’ polymorphism w...

Journal: :CoRR 2015
Vincent Roulet Fajwel Fogel Alexandre d'Aspremont Francis R. Bach

We study a supervised clustering problem seeking to cluster either features, tasks or sample points using losses extracted from supervised learning problems. We formulate a unified optimization problem handling these three settings and derive algorithms whose core iteration complexity is concentrated in a k-means clustering step, which can be approximated efficiently. We test our methods on bot...

Journal: :iranian endodontic journal 0
azza a dafalla lecturer of conservative dentistry, school of dentistry, africa university of medical science, khartoum, sudan neamat hassan abu-bakr department of conservative dentistry, faculty of dentistry, university of khartoum, khartoum, sudan yahia e ibrahim department of conservative dentistry, faculty of dentistry, university of khartoum, khartoum, sudan

introduction: the aim of the present study was to compare hand stainless steel k-files and nickel-titanium profile 0.04 taper 29 series rotary instruments for their efficiency, procedural errors and time consumed in preparation of root canal system. materials and methods: a total of 46 maxillary and mandibular first premolars extracted for orthodontic purposes were collected (two contralateral ...

2015
Vincent Roulet Fajwel Fogel Alexandre d'Aspremont Francis Bach

We study a supervised clustering problem seeking to cluster either features, tasks or sample points using losses extracted from supervised learning problems. We formulate a unified optimization problem handling these three settings and derive algorithms whose core iteration complexity is concentrated in a k-means clustering step, which can be approximated efficiently. We test our methods on bot...

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