On adaptive wavelet estimation of a class of weighted densities

We investigate the estimation of a weighted density taking the form $g=w(F)f$, where $f$ denotes an unknown density, $F$ the associated distribution function and $w$ is a known (non-negative) weight. Such a class encompasses many examples, including those arising in order statistics or when $g$ is related to the maximum or the minimum of $N$ (random or fixed) independent and identically distributed (\iid) random variables. We here construct a new adaptive non-parametric estimator for $g$ based on a plug-in approach and the wavelets methodology. For a wide class of models, we prove that it attains fast rates of convergence under the $\mathbb{L}_p$ risk with $p\ge 1$ (not only for $p = 2$ corresponding to the mean integrated squared error) over Besov balls. The theoretical findings are illustrated through several simulations

Ethnomedicinal Orchids of Uttarakhand, Western Himalaya

Orchids have been used in the traditional system of medicine since time immemorial. The present communication is an account of 12 species of orchids which are used in traditional medicine in Uttarakhand. The work aims at presentation of this knowledge which would be valuable for the herbal drug industry and may lead to identification of new applications or resources. Given in this paper are the scientific names of the plants, local names and the parts of the plant used in medicinal preparations

Pholidata articulata Lindl., An Orchid Used in Bone Jointing in Kumaun Region, Western Himalaya

Pholidata articulata Lindl., known locally as ‘Harjojan’ or bone jointer, is distributed commonly in moist ravines and river valleys up to 1600 m in the Kumaun Himalaya. It is an epiphytic or lithophytic plant. The whole plant is used in traditional medicine

The financial performance of small and medium sized companies: A model based on accountancy data is developed to predict the financial performance of small and medium sized companies.

This study is concerned with developing a model to identify small-medium U.K. companies at risk of financial failure up to five years in advance. The importance of small companies in an economy, the impact of their failures, and the lack of failure research with respect to . this population, provided justification for this study. The research was undertaken in two stages. The first stage included a detailed description and discussion of the nature and role of small business in the UK economy, heir relevance, problems and Government involvement in this sector, together with literature review and assessment of past research relevant to this study. The second stage was involved with construction of the models using multiple discriminant analysis, applied to published accountancy data for two groups of failed and nonfailed companies. The later stage was performed in three parts : (1) evaluating five discriminant models for each of five years prior to failure; (2) testing the performance of each of the .five models over time on data not used . in their construction; (3) testing the discriminant models on a validation sample. The purpose was to establish the "best" discriminant model. "Best" was determined according to classification ability of the model and interpretation of variables. Finally a model comprising seven financial ratios measuring four aspects of a company's financial profile, such as profitability, gearing, capital turnover and liquidity was chosen. The model has shown to be a valid tool for predicting companies' health up to five years in advance.Ministry of Higher Education and Scientific Research of the Iraqi Government

Blind Source Separation: the Sparsity Revolution

International audienceOver the last few years, the development of multi-channel sensors motivated interest in methods for the coherent processing of multivariate data. Some specific issues have already been addressed as testified by the wide literature on the so-called blind source separation (BSS) problem. In this context, as clearly emphasized by previous work, it is fundamental that the sources to be retrieved present some quantitatively measurable diversity. Recently, sparsity and morphological diversity have emerged as a novel and effective source of diversity for BSS. We give here some essential insights into the use of sparsity in source separation and we outline the essential role of morphological diversity as being a source of diversity or contrast between the sources. This paper overviews a sparsity-based BSS method coined Generalized Morphological Component Analysis (GMCA) that takes advantages of both morphological diversity and sparsity, using recent sparse overcomplete or redundant signal representations. GMCA is a fast and efficient blind source separation method. In remote sensing applications, the specificity of hyperspectral data should be accounted for. We extend the proposed GMCA framework to deal with hyperspectral data. In a general framework, GMCA provides a basis for multivariate data analysis in the scope of a wide range of classical multivariate data restorate. Numerical results are given in color image denoising and inpainting. Finally, GMCA is applied to the simulated ESA/Planck data. It is shown to give effective astrophysical component separation

Degenerate Four-Wave Mixing Experiments In Rose Bengal Dye Doped Gelatin Film.

Optical phase-conjugation (OPC) was observed in Rose Bengal dye-doped gelatin films via Degenerate four-wave mixing (DFWM) using continuous wave of SHG of Nd-YAG laser radiation ( =532 nm) of total power 50 mW. Various parameters which influence the phase-conjugate (PC) signal during the DFWM process were studied. The PC signal contributions from induced holographic transmission and reflection gratings were measured. It observed a maximum PC beam reflectivity of 0.15% in these dye-doped gelatin films

Design and Performance Analysis of 250 kW Grid-Connected Photovoltaic System in Iraqi Environment Using PVsyst Software

A 250 kW grid-connected photovoltaic (PV) plant systems have been installed at the Ministry of Electricity in Baghdad and penetrated to the Iraqi national grid since November 2017. This is the first high power grid-connected PV system that has been installed in Iraq and it’s one of the four parts 1MW large-scale PV systems that should be completed in early of 2019. This paper presents the design and performance analysis of this system using a PVsyst software package. The performance ratio and different losses that occurred in the system are also calculated. The results show that the performance ratio is 75% using 1428 photovoltaic panels type (Sharp 175Wp) spread over an area of 1858 m². The total energy injected into the grid is (346692 kWh/year) .Based on the simulation results that developed in this paper, the practical PV grid-tied system has been implemented in Baghdad site

Community pharmacists’ perception of and practice with drug package inserts in UAE

Background: Written information in drug package inserts (DPIs) is important source of information for doctors and pharmacists. Objectives: The present study was undertaken to evaluate the knowledge, perception and practice of community pharmacists with information in the DPIs, and their views on their usefulness.Methods: Seventy five pre-piloted questionnaires were distributed to community pharmacists in the United Arab Emirates. The questionnaire included questions covering demographics of pharmacists and whether they read and rely on DPI as a source of information. Pharmacists were also asked to evaluate and categorize DPI information with respect to the ease for patient use. The data were analyzed and are expressed as frequency and percentage.Results: The response rate was 90.7%. The majority (52, 76.5%) of pharmacists were in the age range of 20-39 years, with bachelor of pharmacy degree (50, 73.5%) and having 1-10 years of practice experience (48, 70.6%). Two thirds of the respondents obtained their degree outside the UAE. The majority (60, 88.2%) of pharmacists read the DPIs of prescription and OTC drugs, for all the information and think it is useful (67, 98.5%). Most participants think DPI is useful to patients and advise them to read it. The majority (49, 72.1%) of pharmacists believe that DPI are clear to read but their content should be shorter (46, 67.6%) and limited to the most important information (51, 75%). More pharmacists with a degree from outside UAE do not read the DPIs (p < 0.003), and find DPIs easily understood (P <0.008). More pharmacists with 1-5 years’ experience advise their patients to read the DPIs (P<0.033).Conclusions: Our findings suggest that there is a need for improving the content of drug package inserts to provide the necessary information required not only for health care professionals but also patients to further enhance their acceptance of and compliance with their medications

OpenFraming: we brought the ML; you bring the data. Interact with your data and discover its frames

When journalists cover a news story, they can cover the story from multiple angles or perspectives. A news article written about COVID-19 for example, might focus on personal preventative actions such as mask-wearing, while another might focus on COVID-19's impact on the economy. These perspectives are called "frames," which when used may influence public perception and opinion of the issue. We introduce a Web-based system for analyzing and classifying frames in text documents. Our goal is to make effective tools for automatic frame discovery and labeling based on topic modeling and deep learning widely accessible to researchers from a diverse array of disciplines. To this end, we provide both state-of-the-art pre-trained frame classification models on various issues as well as a user-friendly pipeline for training novel classification models on user-provided corpora. Researchers can submit their documents and obtain frames of the documents. The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents. The code making up our system is also open-sourced and well-documented, making the system transparent and expandable. The system is available on-line at http://www.openframing.org and via our GitHub page https://github.com/davidatbu/openFraming .Published versio