Проблема развития финансовой системы Украины в условиях глобализации

Целью исследования является изучение взаимодействия фондовых рынков Восточной Европе на примере нескольких стран.Метою дослідження є вивчення взаємодії фондових ринків Східної Європи на прикладі декількох країн

Південноукраїнські історики та російська академічна еліта: етапи та напрямки співпраці у другій половині ХІХ – на початку XX ст.

У статті на широкій джерельній базі досліджено інфраструктурні та особисті зв’язки між південноукраїнськими істориками та академіками Санкт-Петербурзької (Російської) Академії наук впродовж другої половини ХІХ ст. – 1920-х років.The article, based on a great number of sources, researches the infrastructural and personal contacts between the historians of South Ukraine and academicians of the St.-Petersburg Academy of Sciences throughout the second half of the ХІХ century – 1920-ies

Cytokine Release in HR-HPV(+) Women without and with Cervical Dysplasia (CIN II and III) or Carcinoma, Compared with HR-HPV(−) Controls

Aims. We investigated the effect of HR-HPV infection on the capacity of the cytokine network in whole blood cultures during carcinogenesis of cervical carcinoma. Methods. Thirty-nine women with moderate dysplasia, severe dysplasia, cervical carcinoma, or without dysplasia formed the study group. The control group consisted of 10 HR-HPV-negative women without CIN. Whole blood cultures were stimulated with phytohemagglutinin (PHA) and concentrations of tumour necrosis factor α (TNFα), interferon γ (IFNγ), interleukin 2 (IL-2), interleukin 12 (IL-12), interleukin 4 (IL-4), and interleukin 10 (IL-10) were determined by ELISAs. Results. A significant increase in cytokine release was detected in HR-HPV-positive women without dysplasia. In women with cervical cancer, release of IFNγ and IL-12 was of the same magnitude as in HR-HPV-positive women without clinical manifestations. Most Th1-type/Th2-type ratios decreased form CIN II to CIN III, and increased from CIN III to invasive carcinoma. Conclusions. (1) Infection with HR-HPV without expression of cervical dysplasia induces activation of the cytokine network. (2) Increases in ratios of Th1-type to Th2-type cytokines at the stage of cervical carcinoma were found by comparison with stage CIN III. (3) Significant changes in the kinetics of cytokine release to a Th2-type immune response in blood of women with cervical dysplasia occurred progressively from CIN II to CIN III

Comparing methods to combine functional loss and mortality in clinical trials for amyotrophic lateral sclerosis

Objective: Amyotrophic lateral sclerosis (ALS) clinical trials based on single end points only partially capture the full treatment effect when both function and mortality are affected, and may falsely dismiss efficacious drugs as futile. We aimed to investigate the statistical properties of several strategies for the simultaneous analysis of function and mortality in ALS clinical trials. Methods: Based on the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database, we simulated longitudinal patterns of functional decline, defined by the revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R) and conditional survival time. Different treatment scenarios with varying effect sizes were simulated with follow-up ranging from 12 to 18 months. We considered the following analytical strategies: 1) Cox model; 2) linear mixed effects (LME) model; 3) omnibus test based on Cox and LME models; 4) composite time-to-6-point decrease or death; 5) combined assessment of function and survival (CAFS); and 6) test based on joint modeling framework. For each analytical strategy, we calculated the empirical power and sample size. Results: Both Cox and LME models have increased false-negative rates when treatment exclusively affects either function or survival. The joint model has superior power compared to other strategies. The composite end point increases false-negative rates among all treatment scenarios. To detect a 15% reduction in ALSFRS-R decline and 34% decline in hazard with 80% power after 18 months, the Cox model requires 524 patients, the LME model 794 patients, the omnibus test 526 patients, the composite end poi

Individualized ovarian stimulation in IVF/ICSI treatment : it is time to stop using high FSH doses in predicted low responders

Peer reviewedPublisher PD

Управление финансовой устойчивостью и рентабельностью предприятия

Целью статьи является изучение значения управления финансовой устойчивостью и рентабельностью предприятия в современных условиях хозяйствования

Critical design considerations for time-to-event endpoints in amyotrophic lateral sclerosis clinical trials

Background: Funding and resources for low prevalent neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) are limited, and optimising their use is vital for efficient drug development. In this study, we review the design assumptions for pivotal ALS clinical trials with time-to-event endpoints and provide optimised settings for future trials. Methods: We extracted design settings from 13 completed placebo-controlled trials. Optimal assumptions were estimated using parametric survival models in individual participant data (n=4991). Designs were compared in terms of sample size, trial duration, drug use and costs. Results: Previous trials overestimated the hazard rate by 18.9% (95% CI 3.4% to 34.5%, p=0.021). The median expected HR was 0.56 (range 0.33–0.66). Additionally, we found evidence for an increasing mean hazard rate over time (Weibull shape parameter of 2.03, 95% CI 1.93 to 2.15, p<0.001), which affects the design and planning of future clinical trials. Incorporating accrual time and assuming an increasing hazard rate at the design stage reduced sample size by 33.2% (95% CI 27.9 to 39.4), trial duration by 17.4% (95% CI 11.6 to 23.3), drug use by 14.3% (95% CI 9.6 to 19.0) and follow-up costs by 21.2% (95% CI 15.6 to 26.8). Conclusions: Implementing distributional knowledge and incorporating accrual at the design stage could achieve large gains in the efficiency of ALS clinical trials with time-to-event endpoints. We provide an open-source platform that helps investigators to make more accurate sample size calculations and optimise the use of their available resources

Периоды апробации метода прогноза интегральной метанообильности шахты

Розроблені аналітичній та натурній методи урахування метанового потенціалу вугільних шахт, апробація яких в умовах діючих об’єктів вдовж 5 термінів (1967 – 2009 рр.) показала високу надійність метода прогнозу інтегральної метанообільності шахт ІМА (~9 тис. порівнянь). На базі цього методу пропонується розробить державний нормативний документ для урахування метанового потенціалу вугільних шахт та реалізувати науково-технічні проекти авторів, які включені в програму науково-технічного розвитку Донецької області до 2020 р.Analytic and nature methods of calculation of methane potential of the collieries which check in the conditions of operating objects during 5 periods (1967 – 2009 years) has shown high reliability concerning of the method integrated methane of abundance of object IMA (~9 000 results) are developed. On the basis of this method it is offered to develop the state standard document for calculation of methane potential of collieries and to realize author’s projects to be conclusion to the science-technical program of development of Donetsk region to 2020 year

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

The use of smartphone-based location data to quantify behavior longitudinally and passively is rapidly gaining traction in neuropsychiatric research. However, a standardized and validated preprocessing framework for deriving behavioral phenotypes from smartphone-based location data is currently lacking. Here, we present a preprocessing framework consisting of methods that are validated in the context of geospatial data. This framework aims to generate context-enriched location data by identifying stationary, non-stationary, and recurrent stationary states in movement patterns. Subsequently, this context-enriched data is used to derive a series of behavioral phenotypes that are related to movement. By using smartphone-based location data collected from 245 subjects, including patients with schizophrenia, we show that the proposed framework is effective and accurate in generating context-enriched location data. This data was subsequently used to derive behavioral readouts that were sensitive in detecting behavioral nuances related to schizophrenia and aging, such as the time spent at home and the number of unique places visited. Overall, our results indicate that the proposed framework reliably preprocesses raw smartphone-based location data in such a manner that relevant behavioral phenotypes of interest can be derived