Influence of hospital policy on partograph use in tertiary care facilities in India: a cross sectional survey

Background: Partograph is an effective, but underutilized tool for monitoring labour. This study examined the influence of hospital policy on the knowledge, attitude, practice and skills of doctors towards partograph plotting.Methods: A cross-sectional survey among doctors posted in labour rooms of tertiary care public teaching hospitals of India was carried out, using self-administered questionnaire to assess knowledge, attitude and practice; and labour case scenarios were provided to assess partograph plotting skills. Chi-square test or Fisher’s exact test were employed to test the significance of association between knowledge, attitude, practice and skills of 150 doctors working in hospitals with (n=3) and without (n=2) policy of routine partograph plotting.Results: The majority of doctors in both groups had correct knowledge about different partograph components. However, doctors working in hospitals with a policy of partograph use, demonstrated significantly better skills using case scenarios for plotting partographs (p<0.01), and a positive attitude towards plotting partograph and its use as a decision support tool (p=0.000) as compared to doctors working in hospitals without a routine partograph plotting policy.Conclusions: Hospital policy of routine partograph plotting may positively influence utilization of partograph in tertiary care public hospitals in India

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Observation of Long-Range, Near-Side Angular Correlations in Proton-Proton Collisions at the LHC

Results on two-particle angular correlations for charged particles emitted in proton-proton collisions at center-of-mass energies of 0.9, 2.36, and 7 TeV are presented, using data collected with the CMS detector over a broad range of pseudorapidity (eta) and azimuthal angle ($\phi$). Short-range correlations in $\Delta\eta$, which are studied in minimum bias events, are characterized using a simple "independent cluster" parametrization in order to quantify their strength (cluster size) and their extent in $\eta$ (cluster decay width). Long-range azimuthal correlations are studied differentially as a function of charged particle multiplicity and particle transverse momentum using a 980 inverse nb data set at 7 TeV. In high multiplicity events, a pronounced structure emerges in the two-dimensional correlation function for particle pairs with intermediate transverse momentum of 1-3 GeV/c, 2.0 < |$\Delta\eta$| < 4.8 and $\Delta\phi \approx 0$. This is the first observation of such a long-range, near-side feature in two-particle correlation functions in $pp$ or $p\overline{p}$ collisions.Results on two-particle angular correlations for charged particles emitted in proton-proton collisions at center-of-mass energies of 0.9, 2.36, and 7 TeV are presented, using data collected with the CMS detector over a broad range of pseudorapidity (eta) and azimuthal angle (phi). Short-range correlations in Delta(eta), which are studied in minimum bias events, are characterized using a simple 'independent cluster' parametrization in order to quantify their strength (cluster size) and their extent in eta (cluster decay width). Long-range azimuthal correlations are studied differentially as a function of charged particle multiplicity and particle transverse momentum using a 980 inverse nb data set at 7 TeV. In high multiplicity events, a pronounced structure emerges in the two-dimensional correlation function for particle pairs with intermediate transverse momentum of 1-3 GeV/c, 2.0< |Delta(eta)| <4.8 and Delta(phi) near 0. This is the first observation of such a long-range, near-side feature in two-particle correlation functions in pp or p p-bar collisions