Rapid creation and quantitative monitoring of high coverage shRNA libraries.

Short hairpin RNA libraries are limited by low efficacy of many shRNAs and by off-target effects, which give rise to false negatives and false positives, respectively. Here we present a strategy for rapidly creating expanded shRNA pools (approximately 30 shRNAs per gene) that are analyzed by deep sequencing (EXPAND). This approach enables identification of multiple effective target-specific shRNAs from a complex pool, allowing a rigorous statistical evaluation of true hits

Preliminary results from the dust flux monitoring instrument during the encounter of Stardust spacecraft with Wild-2 comet

On January 2, 2004, the Stardust spacecraft successfully encountered the Wild-2 comet. The Dust Flux Monitoring Instrument (DFMI) provided quantitative measurements of dust particle fluxes and particle mass distributions throughout the entire flythrough

Quantitative NMR monitoring of liquid ingress into repellent heterogeneous layered fabrics

Fabrics which are water repellent and repellent to other liquids are often constructed using multiple layers of material. Such a construction is preferable to a single layer of a liquid-repellent textile because, under the action of an applied pressure, ingress of a liquid through the first layer can be halted by the second or subsequent layers. In the quantitative investigation of this problem, current techniques provide limited information on the progress and distribution of the liquid as it ingresses into a fabric. Moreover, many techniques require that the material is delaminated prior to analysis, and cannot be conducted in real time to measure the progress of a liquid through the textile substrate. In this work we demonstrate that unilateral NMR, which allows signal to be collected from a volume of interest in a material residing above the instrument, can be a powerful tool to quantitatively monitor the ingress of a liquid through a layered sample exhibiting pronounced heterogeneities in repellency. A known volume of oil was placed on the top of a model textile sample composed of three 80 μm thick layers. Spatially resolved one dimensional vertical NMR profiles of the system were acquired as a function of the pressure vertically applied to the top of the sample. These profiles show that the absolute liquid volume present in each layer of textile can routinely be measured within 4 min with a spatial resolution of 15 μm. If each individual layer exhibits different repellency to the test liquid, the complexity of the dynamics of the ingress can be investigated in great detail. An elegant application of the unilateral instrument was obtained in which the sensitive volume matched the region of interest of the individual layers of the textile under investigation

Ratiometric spectral imaging for fast tumor detection and chemotherapy monitoring in vivo

We report a novel in vivo spectral imaging approach to cancer detection and chemotherapy assessment. We describe and characterize a ratiometric spectral imaging and analysis method and evaluate its performance for tumor detection and delineation by quantitatively monitoring the specific accumulation of targeted gallium corrole (HerGa) into HER2-positive (HER2 +) breast tumors. HerGa temporal accumulation in nude mice bearing HER2 + breast tumors was monitored comparatively by a. this new ratiometric imaging and analysis method; b. established (reflectance and fluorescence) spectral imaging; c. more commonly used fluorescence intensity imaging. We also tested the feasibility of HerGa imaging in vivo using the ratiometric spectral imaging method for tumor detection and delineation. Our results show that the new method not only provides better quantitative information than typical spectral imaging, but also better specificity than standard fluorescence intensity imaging, thus allowing enhanced in vivo outlining of tumors and dynamic, quantitative monitoring of targeted chemotherapy agent accumulation into them

An Approach to Monitor and Initiate Community Led Actions for Antenatal Care in Rural India – A Pilot Study

Background and Objective: Utilization of antenatal care in rural India is far from universal. It requires monitoring and identification of specific needs at field level for timely corrective actions. To pilot test the triangulation of rapid quantitative (Lot Quality Assurance Sampling) and qualitative (Focus Group Discussion) monitoring tools for ensuring antenatal care in a community based program. Methods: The present study was undertaken in surrounding 23 villages of Kasturba Rural Health Training Centre (KRHTC), Anji, which is also a field practice area of Mahatma Gandhi Institute of Medical Sciences (MGIMS), Sewagram. The monthly monitoring and action system of the study was based on the rapid quantitative monitoring tool (Lot Quality Assurance Sampling, LQAS)to find out poor performing supervision areas and overall antenatal service coverage and the qualitative methods (Focus group discussions (FGDs), and free listing) for exploring ongoing operational constraints in the processes for timely decision making at program and community level. A trained program supervisor paid house visit to 95 randomly selected pregnant women from 5 supervision areas by using pre-designed and pre-tested questionnaire. For poor performing indicators, semi structured FGDs and free listing exercise were undertaken to identify unmet service needs and reasons for its poor performance. Results: Registration of pregnancy within 12 weeks improved from 22.8% to 29.6%. The consumption of 100 or more IFA tablets during pregnancy significantly improved from 6.3% to 17.3%. There was significant improvement in awareness among pregnant women regarding danger signs and symptoms during pregnancy. Over three months period, the overall antenatal registration improved from 253 (67%) to 327 (86.7%). Conclusion: The present field based monitoring and action approach constructively identified the reasons for failures and directed specific collective actions to achieve the targets

Early Warning Systems in the Republic of Korea: Experiences, Lessons, and Future Steps

This paper examines the cases of the Early Warning System (EWS) in the Republic of Korea, which was introduced in the wake of 1997/98 Asian financial crisis in a policy effort to prevent its recurrence. The EWS in the Republic of Korea was expanded into a national system in 2005 incorporating the finance, real estate, commodities, and labor sectors. This paper provides the descriptions of each EWS sector and documents several episodes of their policy contributions. The past experiences suggest that quantitative models tend to have difficulty predicting a crisis due to the changing nature of crises. Hence, it is desirable that quantitative models are supplemented by qualitative analysis reinforcing EWSs with various methodologies. To improve economic surveillance and message delivery to guide proper policy actions, the independence of surveillance unit should be maintained and the scope of monitoring should be expanded to incorporate regions and markets other than domestic ones given the growing influences of the external sector on the domestic economy through trade and financial linkages.EWS; crisis; surveillance; monitoring; quantitative model; qualitative analysis

Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study

Cyber-physical systems integrate information and communication technology functions to the physical elements of a system for monitoring and controlling purposes. The conversion of traditional power grid into a smart grid, a fundamental example of a cyber-physical system, raises a number of issues that require novel methods and applications. In this context, an important issue is the verification of certain quantitative properties of the system. In this technical report, we consider a specific Chinese Smart Grid implementation and try to address the verification problem for certain quantitative properties including performance and battery consumption. We employ stochastic model checking approach and present our modelling and analysis study using PRISM model checker

Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities

© 2017 The Author(s). Anti-cancer therapies including chemotherapy aim to induce tumour cell death. Cell death introduces alterations in cell morphology and tissue micro-structures that cause measurable changes in tissue echogenicity. This study investigated the effectiveness of quantitative ultrasound (QUS) parametric imaging to characterize intra-tumour heterogeneity and monitor the pathological response of breast cancer to chemotherapy in a large cohort of patients (n = 100). Results demonstrated that QUS imaging can non-invasively monitor pathological response and outcome of breast cancer patients to chemotherapy early following treatment initiation. Specifically, QUS biomarkers quantifying spatial heterogeneities in size, concentration and spacing of acoustic scatterers could predict treatment responses of patients with cross-validated accuracies of 82 ± 0.7%, 86 ± 0.7% and 85 ± 0.9% and areas under the receiver operating characteristic (ROC) curve of 0.75 ± 0.1, 0.80 ± 0.1 and 0.89 ± 0.1 at 1, 4 and 8 weeks after the start of treatment, respectively. The patients classified as responders and non-responders using QUS biomarkers demonstrated significantly different survivals, in good agreement with clinical and pathological endpoints. The results form a basis for using early predictive information on survival-linked patient response to facilitate adapting standard anti-cancer treatments on an individual patient basis

Research activities in regional crop modelling and yield forecasting

CGMS is being applied successfully within the MARS Crop Yield Forecasting System for qualitative monitoring of the growing season and for making quantitative crop yield forecasts. Nevertheless, there are large uncertainties related to applying crop growth models over large areas