Mergers and acquisitions as a way to bank restructuring

Теоретичні основи та проблеми процесів злиття та поглинання банків розглянуто в наукових працях багатьох сучасних дослідників. Так, окремі теоретичні та практичні аспекти досліджували вітчизняні науковці О. О. Чуб, З. М. Васильченко, М. І. Диба, В. І. Міщенко, А. В. Шаповалов. Проте, незважаючи на велику кількість наукових розробок з даної проблематики, внаслідок світової фінансової кризи 2007–2009 років, процеси злиття та поглинання потребують подальшого дослідження. Насамперед це стосується питань, пов’язаних із дослідженням сутності й особливостей проведення структурної реорганізації банків у вітчизняних умовах

Strain-Level Typing and Identification of Bacteria Using Mass Spectrometry-Based Proteomics

Because of the alarming expansion in the diversity and occurrence of bacteria displaying virulence and resistance to antimicrobial agents, it is increasingly important to be able to detect these microorganisms and to differentiate and identify closely related species, as well as different strains of a given species. In this study, a mass spectrometry proteomics approach is applied, exploiting lipid-based protein immobilization (LPI), wherein intact bacterial cells are bound, via membrane-gold interactions, within a FlowCell. The bound cells are subjected to enzymatic digestion for the generation of peptides, which are subsequently identified, using LC–MS. Following database matching, strain-specific peptides are used for subspecies-level discrimination. The method is shown to enable a reliable typing and identification of closely related strains of the same bacterial species, herein illustrated for <i>Helicobacter pylori</i>

Strain-Level Typing and Identification of Bacteria Using Mass Spectrometry-Based Proteomics

Because of the alarming expansion in the diversity and occurrence of bacteria displaying virulence and resistance to antimicrobial agents, it is increasingly important to be able to detect these microorganisms and to differentiate and identify closely related species, as well as different strains of a given species. In this study, a mass spectrometry proteomics approach is applied, exploiting lipid-based protein immobilization (LPI), wherein intact bacterial cells are bound, via membrane-gold interactions, within a FlowCell. The bound cells are subjected to enzymatic digestion for the generation of peptides, which are subsequently identified, using LC–MS. Following database matching, strain-specific peptides are used for subspecies-level discrimination. The method is shown to enable a reliable typing and identification of closely related strains of the same bacterial species, herein illustrated for <i>Helicobacter pylori</i>

Microfluidic Flow Cell for Sequential Digestion of Immobilized Proteoliposomes

We have developed a microfluidic flow cell where stepwise enzymatic digestion is performed on immobilized proteoliposomes and the resulting cleaved peptides are analyzed with liquid chromatography–tandem mass spectrometry (LC–MS/MS). The flow cell channels consist of two parallel gold surfaces mounted face to face with a thin spacer and feature an inlet and an outlet port. Proteoliposomes (50–150 nm in diameter) obtained from red blood cells (RBC), or Chinese hamster ovary (CHO) cells, were immobilized on the inside of the flow cell channel, thus forming a stationary phase of proteoliposomes. The rate of proteoliposome immobilization was determined using a quartz crystal microbalance with dissipation monitoring (QCM-D) which showed that 95% of the proteoliposomes bind within 5 min. The flow cell was found to bind a maximum of 1 μg proteoliposomes/cm², and a minimum proteoliposome concentration required for saturation of the flow cell was determined to be 500 μg/mL. Atomic force microscopy (AFM) studies showed an even distribution of immobilized proteoliposomes on the surface. The liquid encapsulated between the surfaces has a large surface-to-volume ratio, providing rapid material transfer rates between the liquid phase and the stationary phase. We characterized the hydrodynamic properties of the flow cell, and the force acting on the proteoliposomes during flow cell operation was estimated to be in the range of 0.1–1 pN, too small to cause any proteoliposome deformation or rupture. A sequential proteolytic protocol, repeatedly exposing proteoliposomes to a digestive enzyme, trypsin, was developed and compared with a single-digest protocol. The sequential protocol was found to detect ∼65% more unique membrane-associated protein (<i>p</i> < 0.001, <i>n</i> = 6) based on peptide analysis with LC–MS/MS, compared to a single-digest protocol. Thus, the flow cell described herein is a suitable tool for shotgun proteomics on proteoliposomes, enabling more detailed characterization of complex protein samples

Receiver operating characteristic curve for the ability of plasma hyaluronic acid to predict liver-related events.

<p>Receiver operating characteristic curve for the ability of plasma hyaluronic acid to predict liver-related events.</p

Distribution of plasma hyaluronic acid levels and any-liver related events during follow-up.

<p>Distribution of plasma hyaluronic acid levels and any-liver related events during follow-up.</p

Crude mortality rate across the six different regions.

<p>Cause of death are reported by the site investigator and, since 2004, a Coding of Death in HIV (CoDe) case report form is additionally completed for each fatal case and CoDe methods used to determine the underlying cause of death.</p

Results from univariate and multivariate Poisson regression analysis investigating mortality rates by region (South is the reference region).

a<p>adjusted for baseline variables gender, age, HIV exposure group, hepatitis B and C status, prior AIDS diagnosis, prior non-AIDS diagnosis, hypertension, diabetes, anaemia, smoking status, CD4 count, baseline date and on cART viral load.</p>b<p>adjusted as in a but age, hepatitis B and C status, hypertension, diabetes, anaemia, smoking status, CD4 count, year of follow-up and on cART viral load were included as time-updated covariates.</p>c<p>adjusted for baseline variables gender, age, HIV exposure group, hepatitis B and C status, prior AIDS diagnosis, prior non-AIDS diagnosis, hypertension, diabetes, anaemia, CD4 count, baseline date and on cART viral load.</p>d<p>adjusted as in a but age, hepatitis B and C status, hypertension, diabetes, anaemia, CD4 count, year of follow-up and on cART viral load were included as time-updated covariates.</p

Baseline characteristics of all patients and stratified according to hepatitis status.

<p>HBsAg: Hepatitis B surface antigen; HCV Ab: anti-HCV antibody; MSM: men who have sex with men; IDU: intravenous drug use; Het: heterosexual; S/A: south/Argentina; C: central; N: north; E: east; ARVs: antiretroviral drugs; ART: antiretroviral therapy; cART: combination antiretroviral therapy; HA: hyaluronic acid; IQR: interquartile range.</p

Adjusted incidence rate ratios of any non-liver-related events.

<p>Note: The horizontal lines indicate 95% confidence intervals; HA: hyaluronic acid; HBsAg: hepatitis B surface antigen; HCVab: anti-HCV antibody; Group 1: HBsAg positive and/or anti-HCV/HCV-RNA positive; Group 2: anti-HCV positive/HCV-RNA negative.</p