113 research outputs found

    16. Lui ve Fransa İhtilali

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    Alexandre Dumas'nın İkdam'da yayımlanan 16. Lui ve Fransa İhtilali adlı romanının son tefrikasıArşivdeki eksikler nedeniyle ilk tefrika görülememiştir.Tefrikanın devamına rastlanmamış, tefrika yarım kalmıştır

    Разработка алгоритма и реализация библиотеки предобработки и сегментации машиночитаемых бланков

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    Работа посвящена реализации этапа автоматизированной предварительной обработки машиночитаемых (с рукописным заполнением полей) бланков процедур массового тестирования выпускников общеобразовательных организаций и подготовки полей к распознаванию.The work is devoted to the implementation of the automated preprocessing stage of machine-readable (with handwritten filling of fields) forms procedures for mass testing graduates of general education organizations and preparation fields for recognition

    Nerve Growth Factor Serum Levels Are Associated With Regional Gray Matter Volume Differences in Schizophrenia Patients

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    Numerous neuroimaging studies have revealed structural brain abnormalities in schizophrenia patients. There is emerging evidence that dysfunctional nerve growth factor (NGF) signaling may contribute to structural brain alterations found in these patients. In this pilot study, we investigated whether there was a correlation between NGF serum levels and gray matter volume (GMV) in schizophrenia patients. Further, we investigated whether there was an overlap between the correlative findings and cross-sectional GMV differences between schizophrenia patients (n = 18) and healthy controls (n = 19). Serum NGF was significantly correlated to GMV in the left prefrontal lobe, the left midcingulate cortex, and the brainstem in schizophrenia patients. However, we did not find any correlations of NGF serum levels with GMV in healthy controls. Schizophrenia patients showed smaller GMV than healthy controls in brain regions located in the bilateral limbic system, bilateral parietal lobe, bilateral insula, bilateral primary auditory cortex, left frontal lobe, and bilateral occipital regions. In a conjunction analysis, GMV in the left midcingulate cortex (MCC) appears negatively correlated to NGF serum levels in the group of schizophrenia patients and also to be reduced compared to healthy controls. These results suggest an increased vulnerability of schizophrenia patients to changes in NGF levels compared to healthy controls and support a role for NGF signaling in the pathophysiology of schizophrenia. As our pilot study is exploratory in nature, further studies enrolling larger sample sizes will be needed to further corroborate our findings and to investigate the influence of additional covariates

    Формирование структур в зонах термического влияния и механические свойства лазерного сварного соединения трубной стали 10Г2ФБЮ

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    Объектом исследования являются лазерные сварные соединения стали 10Г2ФБЮ, полученные на стали в горячекатаном состоянии и после поперечно-винтовой прокатки. Цель работы – исследование закономерностей формирования зон термического влияния под воздействием лазерной сварки в низкоуглеродистой стали 10Г2ФБЮ в разных структурных состояниях и оценка механических свойств полученных сварных соединений. Область применения:результаты работы могут иметь практическое использование в виде технологии получения качественных сварных соединений с помощью лазерной сварки труб из исследуемой стали. Значимость работы заключается в увеличении эксплуатации нефте- и газопроводов работающих в условиях низких температур.The object of research is laser welded joints of 10Mn2VNbAl steel, obtained on steel in a hot-rolled state and after cross-helical rolling. The purpose of the work is to study the formation of heat-affected zones under the influence of laser welding in low-carbon steel 10Mn2VNbAl in different structural states and evaluate the mechanical properties of the welded joints. Scope: the results of the work can have practical use in the form of technology for producing high-quality welded joints using laser welding of pipes from the studied steel. The significance of the work is to increase the operation of oil and gas pipelines operating at low temperatures

    White matter microstructural changes in adolescent anorexia nervosa including an exploratory longitudinal study

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    AbstractBackgroundAnorexia nervosa (AN) often begins in adolescence, however, the understanding of the underlying pathophysiology at this developmentally important age is scarce, impeding early interventions. We used diffusion tensor imaging (DTI) to investigate microstructural white matter (WM) brain changes including an experimental longitudinal follow-up.MethodsWe acquired whole brain diffusion-weighted brain scans of 22 adolescent female hospitalized patients with AN at admission and nine patients longitudinally at discharge after weight rehabilitation. Patients (10–18years) were compared to 21 typically developing controls (TD). Tract-based spatial statistics (TBSS) were applied to compare fractional anisotropy (FA) across groups and time points. Associations between average FA values of the global WM skeleton and weight as well as illness duration parameters were analyzed by multiple linear regression.ResultsWe observed increased FA in bilateral frontal, parietal and temporal areas in AN patients at admission compared to TD. Higher FA of the global WM skeleton at admission was associated with faster weight loss prior to admission. Exploratory longitudinal analysis showed this FA increase to be partially normalized after weight rehabilitation.ConclusionsOur findings reveal a markedly different pattern of WM microstructural changes in adolescent AN compared to most previous results in adult AN. This could signify a different susceptibility and reaction to semi-starvation in the still developing brain of adolescents or a time-dependent pathomechanism differing with extend of chronicity. Higher FA at admission in adolescents with AN could point to WM fibers being packed together more closely

    Competitividad internacional de la cadena de vinos finos de la Argentina

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    p.149-157Se analizó la cadena de los vinos finos en la Argentina, con el objetivo de conocer los factores que hacen a la creciente competitividad de las exportaciones. En primer lugar, se calculó la distribución de la superficie plantada entre los productores primarios, se relevó el grado de concentración de las bodegas y se efectuó un análisis descriptivo de la distribución en el mercado interno y de las exportaciones. En segundo lugar, se elaboró un análisis FODA (Fortalezas, Oportunidades, Debilidades y Amenazas) de la cadena, particularmente enfocado a su desempeño en el mercado externo, con el fin de sugerir estrategias para mejorar la competitividad internacional de la cadena de vinos finos. Asimismo, a partir de la información relevada, se elaboró una aproximación cuantitativa al concepto de competitividad a través del índice de ventajas comparativas relevadas de Bela Ballasa. Por último, se resalta que el concepto de competitividad involucra un abordaje sistémico de la cadena, comprendiendo el estudio de distintos niveles de análisis, que deben ser considerados en conjunto para una mejor aproximación

    Совершенствование конструкции плоскореза глубокорыхлителя КПГ-250 в условиях КФХ "Правда" Беловского района, Кемеровской области

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    Объектом исследования является плоскорежущая лапа глубокорыхлителя КПГ-250. Цель работы – повышение качества обработки почвы, с совершенствованием конструкции глубокорыхлителя КПГ-250. повышение эффективности уборки зерновых культур, с разработкой конструкции В процессе исследования проводились технологические и конструкторские расчеты В результате исследования предложены мероприятия по снижению уплотнения почвы, а также конструкторские решения по повышению эффективности обработки почвы культиватором КПГ-250.The object of the study is flat-cutting paw cultivator KPG-250. Purpose – to improve the quality of the soil, by improving the design of the chisel KPG-250. Improving the efficiency of cleaning of grain crops, with the development of the design. In the process of research was conducted technological and design calculations The study proposed measures to reduce soil compaction, and design solutions for improving the effectiveness of soil treatment with cultivator KPG-250

    Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization:An International Machine Learning Study

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    ObjectiveDisentangling psychopathological heterogeneity in schizophrenia is challenging and previous results remain inconclusive. We employed advanced machine-learning to identify a stable and generalizable factorization of the “Positive and Negative Syndrome Scale (PANSS)”, and used it to identify psychopathological subtypes as well as their neurobiological differentiations.MethodsPANSS data from the Pharmacotherapy Monitoring and Outcome Survey cohort (1545 patients, 586 followed up after 1.35±0.70 years) were used for learning the factor-structure by an orthonormal projective non-negative factorization. An international sample, pooled from nine medical centers across Europe, USA, and Asia (490 patients), was used for validation. Patients were clustered into psychopathological subtypes based on the identified factor-structure, and the neurobiological divergence between the subtypes was assessed by classification analysis on functional MRI connectivity patterns.ResultsA four-factor structure representing negative, positive, affective, and cognitive symptoms was identified as the most stable and generalizable representation of psychopathology. It showed higher internal consistency than the original PANSS subscales and previously proposed factor-models. Based on this representation, the positive-negative dichotomy was confirmed as the (only) robust psychopathological subtypes, and these subtypes were longitudinally stable in about 80% of the repeatedly assessed patients. Finally, the individual subtype could be predicted with good accuracy from functional connectivity profiles of the ventro-medial frontal cortex, temporoparietal junction, and precuneus.ConclusionsMachine-learning applied to multi-site data with cross-validation yielded a factorization generalizable across populations and medical systems. Together with subtyping and the demonstrated ability to predict subtype membership from neuroimaging data, this work further disentangles the heterogeneity in schizophrenia
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