A team at IASST Guwahati has identified 4 different Ionic Liquids that can be effective in extracting silk proteins from raw fibres 

The inspection reveals unauthorised document alterations, falsified reports, and a lack of proper RTI file processing systems

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE Computer Society

IEEE Computer Society

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE Computer Society

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated

South Koreans are familiar with Andhra Pradesh and since Kia Motors is here, more Korean companies may wish to come too, says Sangwoo Lim

Adding positively charged molecules and a surfactant to β-glucosidase makes the enzyme work 30 times as fast

Company: P & I Management Consultants
Experience: 0 to 50
location: India
Ref: 24341089
Summary: Job Description: Core Competencies in Brief: 1) A skilled strategist with success in devising efficient implementation of plans, ensuring efficiency & profitability of the company with goal oriented leader with integrity,....

Efforts to document government support benefiting specific sectors or industries have paid scant attention to support given to the non-energy minerals sector. The issue of support for this sector is explored by way of a case study of Australia, a leading producer and exporter of minerals.

Amid the coronavirus pandemic, the retirement fund body Employees' Provident Fund Organisation (EPFO) has granted provision to allow withdrawal of funds from the fund balance to tackle liquidity crunch. Nonetheless, while the institution has received many such withdrawal request there has

Computer-aided image processing technique to protect weavers

Content Security Policy can be used to generate reports describing attempts to attack your site. This post briefly explains how this works, and presents a simple example script that can be used to process these reports.

The high temporal resolution in data acquisition, possible in the quick-scanning EXAFS (QEXAFS) mode of operation, provides new challenges in efficient data processing methods. Here a new approach is developed that combines an easy to use interactive graphical interface with highly optimized and fully parallelized Python-based routines for extracting, normalizing and interpolating oversampled time-resolved XAS spectra from a raw binary stream of data acquired during operando QEXAFS studies. The programs developed are freely available via a Github repository.

The fully automatic processing of crystals of macromolecules has presented a unique opportunity to gather information on the samples that is not usually recorded. This has proved invaluable in improving sample-location, characterization and data-collection algorithms. After operating for four years, MASSIF-1 has now processed over 56 000 samples, gathering information at each stage, from the volume of the crystal to the unit-cell dimensions, the space group, the quality of the data collected and the reasoning behind the decisions made in data collection. This provides an unprecedented opportunity to analyse these data together, providing a detailed landscape of macromolecular crystals, intimate details of their contents and, importantly, how the two are related. The data show that mosaic spread is unrelated to the size or shape of crystals and demonstrate experimentally that diffraction intensities scale in proportion to crystal volume and molecular weight. It is also shown that crystal volume scales inversely with molecular weight. The results set the scene for the development of X-ray crystallography in a changing environment for structural biology.

This study describes a method to estimate the likelihood of success in determining a macromolecular structure by X-ray crystallography and experimental single-wavelength anomalous dispersion (SAD) or multiple-wavelength anomalous dispersion (MAD) phasing based on initial data-processing statistics and sample crystal properties. Such a predictive tool can rapidly assess the usefulness of data and guide the collection of an optimal data set. The increase in data rates from modern macromolecular crystallography beamlines, together with a demand from users for real-time feedback, has led to pressure on computational resources and a need for smarter data handling. Statistical and machine-learning methods have been applied to construct a classifier that displays 95% accuracy for training and testing data sets compiled from 440 solved structures. Applying this classifier to new data achieved 79% accuracy. These scores already provide clear guidance as to the effective use of computing resources and offer a starting point for a personalized data-collection assistant.

Electron microscopy of macromolecular structures is an approach that is in increasing demand in the field of structural biology. The automation of image acquisition has greatly increased the potential throughput of electron microscopy. Here, the focus is on the possibilities in Scipion to implement flexible and robust image-processing workflows that allow the electron-microscope operator and the user to monitor the quality of image acquisition, assessing very simple acquisition measures or obtaining a first estimate of the initial volume, or the data resolution and heterogeneity, without any need for programming skills. These workflows can implement intelligent automatic decisions and they can warn the user of possible acquisition failures. These concepts are illustrated by analysis of the well known 2.2 Å resolution β-galactosidase data set.

Serial crystallography is a powerful technique in structure determination using many small crystals at X-ray free-electron laser or synchrotron radiation facilities. The large diffraction data volumes require high-throughput software to preprocess the raw images for subsequent analysis. ClickX is a program designated for serial crystallography data preprocessing, capable of rapid data sorting for online feedback and peak-finding refinement by parameter optimization. The graphical user interface (GUI) provides convenient access to various operations such as pattern visualization, statistics plotting and parameter tuning. A batch job module is implemented to facilitate large-data-volume processing. A two-step geometry calibration for single-panel detectors is also integrated into the GUI, where the beam center and detector tilting angles are optimized using an ellipse center shifting method first, then all six parameters, including the photon energy and detector distance, are refined together using a residual minimization method. Implemented in Python, ClickX has good portability and extensibility, so that it can be installed, configured and used on any computing platform that provides a Python interface or common data file format. ClickX has been tested in online analysis at the Pohang Accelerator Laboratory X-ray Free-Electron Laser, Korea, and the Linac Coherent Light Source, USA. It has also been applied in post-experimental data analysis. The source code is available via https://github.com/LiuLab-CSRC/ClickX under a GNU General Public License.

The GDC Compliance Advisory Board (CAB) provides insight into how to interpret the Strong Consumer Authentication (SCA) mandate described in PSD 2 without jeopardizing data privacy concerns protected by GDPR. 

Payment service provider and direct card acquirer ECOMMPAY have...

Analysis of the operation of a novel, micro-scale anaerobic digester has shown that this technology could provide a useful means of processing food waste in urban areas. The study found that the digester, located in London and fed mainly with local food waste, avoided 3.9 tonnes of greenhouse gas emissions, while providing biogas for cooking, heat and power. Anaerobic digestion on this scale could play a part in reducing the amount of food waste that goes to landfill1 and contribute to the circular economy.

The presence of organic pollutants in waste water and drinking water can have alarming environmental and public health implications. Current water treatment methods have limitations: they can only remove certain contaminants, to certain extents, and also produce harmful by-products. New and improved methods are required. A recent review paper presents radiation processing as a promising approach, providing strong evidence of its efficacy, efficiency, safety, and feasibility. Focusing particularly on the use of electron-beam processing for the removal of organic pollutants from waste water and drinking water, the researchers present a compelling picture, relevant to stakeholders involved in water treatment and management.

The 3rd edition of Digital Image Processing Using MATLAB (DIPUM3E) has just been published, at long last. The new edition includes extensive new coverage of image transforms, spectral color models, geometric transformations, clustering, superpixels, graph cuts, active contours, maximally-stable extremal regions, SURF and similar feature detection, and deep learning networks.... read more >>

Next generation ODR technology(FL Series)

ISSI partners with KnowledgeLake to offer Robotic Process Automation (RPA) technology to further minimize human intervention in document and data entry-intensive processes for AP, AR, HR, Legal, and beyond

Developing programmable hardware for European XFEL for real-time line-rate processing on the raw data streams produced by the detector using Maxeler's powerful FPGA solutions.