Proton emission from the deformed odd-odd nuclei near drip line

Proton emission from odd-odd nuclei is studied within the two quasiparticle plus rotor model which includes the non-adiabatic effects and the residual interaction between valence proton and neutron. Justification of the formalism is discussed through corroboration of our results with the experimental spectrum of 180Ta. Exact calculations are performed to get the proton emission halflives. Our results for the proton emitter 130Eu leads to the assignment of spin and parity Jπ = 1+ for the ground state. The role of Coriolis and residual neutron-proton interactions on the proton emission halflives and their interplay are also discussed

The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma

Hepatic lipid deposition and inflammation represent risk factors for hepatocellular carcinoma (HCC). The mRNA-binding protein tristetraprolin (TTP, gene name ZFP36) has been suggested as a tumor suppressor in several malignancies, but it increases insulin resistance. The aim of this study was to elucidate the role of TTP in hepatocarcinogenesis and HCC progression. Employing liver-specific TTP-knockout (lsTtp-KO) mice in the diethylnitrosamine (DEN) hepatocarcinogenesis model, we observed a significantly reduced tumor burden compared to wild-type animals. Upon short-term DEN treatment, modelling early inflammatory processes in hepatocarcinogenesis, lsTtp-KO mice exhibited a reduced monocyte/macrophage ratio as compared to wild-type mice. While short-term DEN strongly induced an abundance of saturated and poly-unsaturated hepatic fatty acids, lsTtp-KO mice did not show these changes. These findings suggested anti-carcinogenic actions of TTP deletion due to effects on inflammation and metabolism. Interestingly, though, investigating effects of TTP on different hallmarks of cancer suggested tumor-suppressing actions: TTP inhibited proliferation, attenuated migration, and slightly increased chemosensitivity. In line with a tumor-suppressing activity, we observed a reduced expression of several oncogenes in TTP-overexpressing cells. Accordingly, ZFP36 expression was downregulated in tumor tissues in three large human data sets. Taken together, this study suggests that hepatocytic TTP promotes hepatocarcinogenesis, while it shows tumor-suppressive actions during hepatic tumor progression

Statistical techniques to construct assays for identifying likely responders to a treatment under evaluation from cell line genomic data

<p>Abstract</p> <p>Background</p> <p>Developing the right drugs for the right patients has become a mantra of drug development. In practice, it is very difficult to identify subsets of patients who will respond to a drug under evaluation. Most of the time, no single diagnostic will be available, and more complex decision rules will be required to define a sensitive population, using, for instance, mRNA expression, protein expression or DNA copy number. Moreover, diagnostic development will often begin with in-vitro cell-line data and a high-dimensional exploratory platform, only later to be transferred to a diagnostic assay for use with patient samples. In this manuscript, we present a novel approach to developing robust genomic predictors that are not only capable of generalizing from in-vitro to patient, but are also amenable to clinically validated assays such as qRT-PCR.</p> <p>Methods</p> <p>Using our approach, we constructed a predictor of sensitivity to dacetuzumab, an investigational drug for CD40-expressing malignancies such as lymphoma using genomic measurements of cell lines treated with dacetuzumab. Additionally, we evaluated several state-of-the-art prediction methods by independently pairing the feature selection and classification components of the predictor. In this way, we constructed several predictors that we validated on an independent DLBCL patient dataset. Similar analyses were performed on genomic measurements of breast cancer cell lines and patients to construct a predictor of estrogen receptor (ER) status.</p> <p>Results</p> <p>The best dacetuzumab sensitivity predictors involved ten or fewer genes and accurately classified lymphoma patients by their survival and known prognostic subtypes. The best ER status classifiers involved one or two genes and led to accurate ER status predictions more than 85% of the time. The novel method we proposed performed as well or better than other methods evaluated.</p> <p>Conclusions</p> <p>We demonstrated the feasibility of combining feature selection techniques with classification methods to develop assays using cell line genomic measurements that performed well in patient data. In both case studies, we constructed parsimonious models that generalized well from cell lines to patients.</p

Gossypibomas in India - A systematic literature review

Purpose of Review: Gossypibomas remain a dreaded and unwanted complication of surgical practice. Despite significant interest and numerous guidelines, the number of reported cases remains sparse due to various factors, including potential legal implications. Herein, we review related data from India to ascertain if the problem is better or worse than that reported in world literature. Materials and Methods: A literature search was performed on PubMed and Google Scholar, to collect and analyze all case reports and case reviews regarding the condition in India. Results: On analysis of the results, there were 100 publications reporting a total of 126 events. The average patient age was 38.65 years. Average time to discovery was 1225.62 days. Forty-nine percent of reported cases were discovered within the 1 st year. The most common clinical features were pain (73.8%), palpable mass (47.6%), vomiting (35%), abdominal distention (26%), and fever (12.6%). Spontaneous expulsion of the gossypiboma was noted in five cases (3.96%). Transmural migration was seen in 36 cases (28.57%). Conclusions: Despite advancements in surgical approaches and preventive measures, gossypibomas continue to be a cause of significant morbidity. A safe working culture, open communication, teamwork, and an accurate sponge count remain our best defence against this often unpredictable complication of surgery

A study of activation parameters for viscous flow process of some tetraalkylammonium salts in binary mixtures of <i>N, N</i>-dimethylformamide and ethyl methyl ketone

2039-2045Viscosities and densities of tetrabutylammoniumtetraphenylammonium boride (Bu4NBPh4), tetrabutylammonium bromide (Bu4NBr), tetrapentylammonium bromide (Pen4NBr), tetrahexylammonium iodide (Hex4NI), sodium tetraphenyl boride (NaBPh4) and sodium iodide (NaI) in ethyl methyl ketone (EMK), N, N-dimethyl foramide (DMF) and EMK+DMF solvent mixtures containing 0, 20, 40, 60, 80 and 100 mol % of EMK in the concentration range (0.02-0.1) mol dm-3 at 25, 35, and 45°C have been reported. The viscosity data have been analyzed in terms of A- and B- viscosity coefficients of the Jones-Dole equation. Both A- and B-coefficients have been found to be positive over the en tire solvent composition range at all temperatures. The B-coefficients have been resolved into B± ionic coefficients using Bu4NBPh4 assumptions. The B± values of telraalkylammonium ions are found to be positive. Partial molal volumes (Vo2) have also been calculated which have been used along with B-values to calculate activation parameters for viscous flow process of electrolytic solutions. The activation parameters have been examined as a function of solvent composition to interpret the solution behaviour of these tetraalkylammonium salts in EMK-DMF mixtures