RESEARCH OF MECHANICAL PROPERTIES OF POROUS MATERIALS OBTAINED BY SINTERING OF ALLOY VT1-0

В работе проведено исследование изменения механических свойств пористого материала из титанового сплава в зависимости от температурных режимов спекания и термоводородной обработки (ТВО). Было выявлено, что с увеличением температур спекания улучшаются прочностные свойства и снижается пластичность. В работе приведено сравнение свойств образцов без ТВО и с его применением.In work the research of change of mechanical properties of porous material from titanic alloy, depending on temperature conditions of agglomeration and thermohydrogen processing (THP) is conducted. It has been revealed that with increase in temperatures of agglomeration strength properties improve and the plasticity decreases. Comparison of properties of samples without THP and with its application is given in work

Хирургическое лечение рака полового члена in situ с пластикой кожным лоскутом: клинический случай

Gold treatment standard for penile carcinoma (PC) is amputation. However, removal of the penis gives rise to functional and psychological disorders. In this connection, more and more attention is now given to organ-sparing treatment in patients with PC. The paper describes a clinical case of PC in situ in a 47-year-old patient who has undergone deglavation with plasty.«Золотым стандартом» в лечении рака полового члена (РПЧ) является ампутация. Однако удаление пениса приводит к функциональным и психологическим нарушениям. В связи с этим в настоящее время все больше внимания уделяется органосохраняющему лечению больных (РПЧ). В статье представляется клиническое наблюдение РПЧ in situ у пациента 47 лет, которому выполнено «деглавирование» с пластикой

Model selection in function approximation problem based on statistical learning theory

In order to approximate multidimensional function it is necessary to select the complexity of the model used for approximation of unknown function. Method on basis of statistical learning theory for complexity estimation of a model is elaborated. Proposed method is significantly less computationally intensive compared to such classical methods as AIC or cross-validation

Approximation of multidimensional dependency based on an expansion in parametric functions from the dictionary

In the present work method for construction of approximation of unknown multidimensional dependency based on data sample is proposed. Approximation is constructed in the class of linear expansions in parametric functions from the dictionary. Parameters of the functions from the dictionary are estimated using gradient methods and expansion coefficients are calculated using adap-tively regularized method of least squares. Regularization is used to increase the stability of iterative estimation of parameters. For additional improvement of stability/generalization ability of approximation specially developed method for boosting is used

Dimension reduction as a part of function approximation problem

Usually in case of approximation of high-dimensional unknown dependencies the "curse of dimensionality" problem arises. In order to deal with such problem preliminary dimension reduction of input vector should be done. In this paper the methodology for integration of dimension reduction procedure into the method for construction of function approximation is proposed. Developed method al¬lows choosing optimal combination of dimension of compression transformation and complexity of a model used for approximation avoiding overtraining of approximating function. Application of proposed method to real and artificial data shows good performance in terms of accuracy

Dimension reduction as a part of function approximation problem

Usually in case of approximation of high-dimensional unknown dependencies the "curse of dimensionality" problem arises. In order to deal with such problem preliminary dimension reduction of input vector should be done. In this paper the methodology for integration of dimension reduction procedure into the method for construction of function approximation is proposed. Developed method al¬lows choosing optimal combination of dimension of compression transformation and complexity of a model used for approximation avoiding overtraining of approximating function. Application of proposed method to real and artificial data shows good performance in terms of accuracy

Surgical treatment for penile carcinoma in situ with skin flap plasty: A clinical case

Gold treatment standard for penile carcinoma (PC) is amputation. However, removal of the penis gives rise to functional and psychological disorders. In this connection, more and more attention is now given to organ-sparing treatment in patients with PC. The paper describes a clinical case of PC in situ in a 47-year-old patient who has undergone deglavation with plasty