Relaxation lifetimes of plasmonically enhanced hybrid gold-carbon nanotubes systems

Recently, we introduced a novel hybridization route for carbon nanotubes using gold nanoparticles, whose close proximity neatly enhances their radiative emission. Here we investigate the mechanisms behind the enhancement by monitoring the de-excitation dynamics of our π-hybrids through two-color pump- probe time-resolved spectroscopy. The de-excitation process reveals a fast component and a slow component. We find that the presence of gold prominently affects the fast processes, indicating a stronger influence of the gold nanoparticle on the intra-band non-radiative relaxation than on the inter-band recombination of the single-walled carbon nanotube. By evaluating the de- excitation times, we estimate the balance between near-field pumping and the faster metal-induced de-excitation contributions, proving the enhanced pumping to be the leading mechanism

Digitalized service multinationals and international business theory

Banalieva and Dhanaraj argue that digital service multinationals (DSMNCs) possess a new category of firm-specific advantage (FSA), the network advantage, and that, contrary to extant theory, they use networks as a mode of governance. I review the business models used by DSMNCs, compare them to non-digital ones, and explore what we can learn about them from extant IB theory. I conclude that network advantages are not a new category of FSAs, that networks are not a mode of governance, and that their use by DSMNCs is well explained by extant theory

What lies between market and hierarchy? Insights from internalization theory and global value chain theory

In this paper, we suggest that internalization theory might be extended by incorporating complementary insights from GVC theory. More specifically, we argue that internalization theory can explain why lead firms might wish to externalize selected activities, but that it is largely silent on the mechanisms by which those lead firms might exercise control over the resultant externalized relationships with their GVC partners. We advance an explanation linking the choice of control mechanism to two factors: power asymmetries between the lead firms and their GVC partners, and the degree of codifiability of the information to be exchanged in the relationship

Macrophage Depletion in Hypertensive Rats Accelerates Development of Cardiomyopathy

Inflammation contributes to the process of ventricular remodeling after acute myocardial injury. To investigate the role of macrophages in the chronic process of cardiac remodeling, they were selectively depleted by intravenous administration of liposomal clodronate in heart failure-prone hypertensive Ren-2 rats from the age of 7 until 13 weeks. plain liposomes were used for comparison. Liposomal clodronate treatment reduced the number of blood monocytes and decreased the number of macrophages in the myocardium. Compared to plain liposomes, liposomal clodronate treatment rapidly worsened left ventricular ejection function in hypertensive rats. Liposomal clodronate-treated Ren-2 rat hearts showed areas of myocyte loss with abundant inflammatory cell infiltration, predominantly comprising CD4 positive T lymphocytes. The current-study showed that lack of macrophages vas associated with earlier development of myocardial dysfunction in hypertensive rats. Modulation of macrophage function may be of value in the evolution of cardiomyopath

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

OBJECTIVES:To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND:Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. METHODS:Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA), coronary sinus (CS), right ventricular wall (RVW) and left atrial wall (LAW) were annotated as ground truth. The U-net-derived deep learning model was trained, validated and tested in a 70:20:10 split. RESULTS:The dataset comprised 206 patients, with 5.130 billion pixels. Mean age was 59.9 ± 9.4 yrs., and was 42.7% female. An overall median Dice score of 0.820 (0.782, 0.843) was achieved. Median Dice scores for PAA, DA, SVC, IVC, PA, CS, RVW and LAW were 0.969 (0.979, 0.988), 0.953 (0.955, 0.983), 0.937 (0.934, 0.965), 0.903 (0.897, 0.948), 0.775 (0.724, 0.925), 0.720 (0.642, 0.809), 0.685 (0.631, 0.761) and 0.625 (0.596, 0.749) respectively. Apart from the CS, there were no significant differences in performance between sexes or age groups. CONCLUSIONS:An automated deep learning model demonstrated segmentation of multiple cardiovascular structures from CCTA images with reasonable overall accuracy when evaluated on a pixel level

Anatomical Basis for the Mobility of the Esophagus: Implications for Catheter Ablation of Atrial Fibrillation

We present autopsy data from a patient that illustrates the anatomical factors that allow the esophagus to be a mobile structure, especially with respect to the posterior left atrial wall

Advanced Television and Signal Processing Program

Contains an introduction and reports on fifteen research projects.Advanced Television Research ProgramAdams-Russell Electronics, Inc.National Science Foundation Fellowship Grant MIP 87-14969National Science Foundation FellowshipU.S. Navy - Office of Naval Research Grant N00014-89-J-1489U.S. Air Force - Electronic Systems Division Contract F1 9628-89-K-004

An observational study for evaluating prescription pattern of drugs, adverse drug reactions in paediatric acute lymphoid leukaemia in a tertiary care hospital

Background: Prescription research analyses trends in prescribing drugs as per rational therapeutics principles and if any deviations found  helps in providing vital feedback to physicians. Recent advances in cancer chemotherapy has improved survival rates in Acute Lymphoblastic Leukaemia (ALL), but the adverse drug reactions adds to disease burden, also compromises quality of life.  There is paucity of data on prescription audit, adverse drug reactions in paediatric ALL, hence the study was planned. Methods: Study was cross-sectional prospective audit. After IEC approval, written informed consent were taken from 156 prospective ALL patients aged 1-15 years (completed one cycle of induction phase). The variables assessed were WHO prescribing indicators, completeness. The details of adverse drug reactions-type, severity, preventable; causality assessment (WHO-UMC, Naranjo Scales). Analyzed by descriptive statistics [Microsoft Excelv16.0]. Results: Out of total 156 prescriptions (2576 drugs prescribed), total drugs per prescription was 16. Most of the drugs were prescribed by generic name (97.94%). Commonest anticancer drug prescribed in regimen was vincristine, methotrexate. Most common supportive medication class were antiemetic, antacid, antiulcer. 100% prescriptions were complete for anticancer drugs, 66% for supportive care medications. Most common ADR found was alopecia (100%), febrile neutropenia (31.41%) and fatigue (30.76%). Majority ADR were possibly (93.81%) related to treatment. 37.97% ADR were of moderate severity, 100% ADRs were not preventable. Conclusions: The commonest anti-cancer drugs prescribed are vincristine, methotrexate and supportive care prescribed is antiemetic therapy (granisetron). The frequent adverse drug reaction found was alopecia, febrile neutropenia.