Spot Release 2.0, launching today, includes improvements to navigation, autonomy, stair climbing, and more

Diego Maradona has lent a hand in the fight against the coronavirus pandemic in his hometown by autographing an Argentina national team jersey for a raffle. The sale raised money for an underprivileged area on the outskirts of Buenos Aires affected by quarantine rules. "We're going to get through it," Maradona wrote on the jersey, a replica of the one he wore when he led his country to victory in the 1986 World Cup.

The jersey was first offered at auction, but is being raffled to those who have given donations in an initiative that has collected hygiene products, masks and around 100 kilograms (220 pounds) of food for charity. "Diego can't even imagine what he has done for us, it's priceless. I'll be grateful to him until the day I die," said local resident Marta Gutierrez.

In addition to the pandemic, Argentina is facing a serious economic crisis and is in laborious negotiations on debt restructuring with creditors.

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As part of continuing efforts to boost transparency by multinational enterprises (MNEs), Canada, Iceland, India, Israel, New Zealand and the People’s Republic of China signed today the Multilateral Competent Authority agreement for the automatic exchange of Country-by-Country reports (“CbC MCAA”), bringing the total number of signatories to 39 countries. The signing ceremony took place in Beijing, China.

As part of continuing efforts to boost transparency by multinational enterprises (MNEs), Gabon, Hungary, Indonesia, Lithuania, Malta, Mauritius and the Russian Federation have now signed the Multilateral Competent Authority Agreement for Country-by-Country Reporting (CbC MCAA), bringing the total number of signatories to 57. Lithuania and Hungary joined the Agreement in October and December 2016 respectively.

French auto major Renault today launched the automated manual transmission (AMT) version of its popular small car KWID at an introductory price of Rs 4.25 lakh (ex-showroom Delhi).

OECD analyses have begun to understand the relationship between digitalisation, jobs and skills, the magnitude of potential job substitution due to technological change, the relationship between globalisation and wage polarisation, as well as the changes to the organisation of work.

A range of OECD analysis has been exploring the relationship between digitalisation, jobs and skills, the magnitude of potential job substitution due to technological change, the relationship between globalisation and wage polarisation, as well as the changes to the organisation of work. This post focused on a recent paper on Automation.

Policy Brief on the Future of Work: Putting faces to the jobs at risk of automation

The risk of job automation is much higher in some regions than others within countries, meaning governments will need to address any widening of job inequality between one area and another in the coming years, according to a new OECD report.

Several government hospitals denied admission to Suresh, an auto-driver in Bengaluru, before a Twitter user highlighted his ordeal and prompted the DIPR to provide help.

Admiral says it is refunding its customers in recognition of the fact that there have been fewer cars on the road during the lockdown and it expects this to result in fewer claims.

The Indian automotive sector will continue to face challenges related to non-availability of labour and concerns over health and safety management on the shop-floor following the coronavirus pandemic, which may force firms to accelerate adoption of digital technologies in manufacturing, a report by consultancy firm EY said. This health crisis will settle gradually and would leave a profound impact on people and the ways of working especially on the shop-floor. There will be several changes to existing working norms and guidelines that organisations will need to abide by in order to ensure safety at the workplace, said the report titled 'Now, next and beyond: Auto factory of the future'. Elaborating on how automotive shop-floors will evolve and adopt digital technologies post COVID-19, the report said automobile companies will now have to rebuild and reinvent a new ecosystem to accommodate the new normal that is likely to emerge. "The auto sector will continue to face challenges ...

For decades, there have been concerns that India's universities were being bogged down by the number of institutes they had to manage. Recently, the University Grants Commission accepted in principle that autonomy must be green-lighted. But debates on the freedom of institutions remain inconclusive, reports Deepa A.

As the government shows Doordarshan's director the door, Prasar Bharati member B G Verghese protests the intrusion by the administration into constitutionally protected domain.

कोरोना वायरस के संक्रमण से बचने के लिए पूरे देश में लॉकडाउन जारी है, लेकिन इस लॉकडाउन के चलते पूरे देश में ऑटो मोबाइल इंडस्ट्री की सप्लाई चेन बुरी तरह से प्रभावित हुई है, क्यों कि वाहन निर्माता कंपनियों ने सरकार के निर्देशानुसार उत्पादन बंद कर दिया था।

The Indian auto industry is slowly working its way to restart operations in India, after being shut down for over 40 days. Automobile companies are currently preparing to resume production in accordance with the government's guidelines for ensuring all safety and social distancing norms are followed.

Bajaj Auto has released its sales report for the month of April 2020 in India. Unsurprisingly, the company has announced 0 units of domestic sales in the country during the last month. This was due to the nationwide lockdown, amidst the COVID-19 pandemic.

Archives, Room Use Only - TK5547.D45 1895

Archives, Room Use Only - TK5115.H39 1916

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The pictures of his 'corona auto' went viral and Twitter users started sending in their comments calling the initiative, 'Auto-immune', 'good work', and 'innovative', while some others questioned where he would take his auto amidst the ongoing lockdown.

Maradona autographs shirt to help poor

Amendments to the Bangalore Water Supply Sewerage Act, 1964, have made installation of automatic water level control system and provision of internal

There will be several changes to existing working norms and guidelines that organisations will need to abide by in order to ensure safety at the workplace, says the report

A digital shop-floor with specific interventions on planning and execution will become the new normal, says EY India Partner and Automotive Sector Leader Vinay Raghunath

A method is presented for the automatic building of nucleotide chains into electron density which is fast enough to be used in interactive model-building software. Likely nucleotides lying in the vicinity of the current view are located and then grown into connected chains in a fraction of a second. When this development is combined with existing tools, assisted manual model building is as simple as or simpler than for proteins.

In the context of increasing hardware and software automation in the process of crystal structure determination by X-ray diffraction, and based on conference sessions presenting some of the experience of senior crystallographers for the benefit of younger colleagues, an outline is given here of some basic concepts and applications of symmetry in crystallography. Three specific examples of structure determinations are discussed, for which an understanding of these aspects of symmetry avoids mistakes that can readily be made by reliance on automatic procedures. Topics addressed include pseudo-symmetry, twinning, real and apparent disorder, chirality, and structure validation.

The title crystal structure is assembled from the superposition of two mol­ecular structures, (E)-1-(5-chloro­thio­phen-2-yl)-3-(3-methyl­thio­phen-2-yl)prop-2-en-1-one, C12H9ClOS2 (93%), and (Z)-1-(5-chloro­thio­phen-2-yl)-3-(3-methyl­thio­phen-2-yl)prop-1-en-1-ol, C12H11ClOS2 (7%), 0.93C12H9ClOS2·0.07C12H11ClOS2. Both were obtained from the reaction of 3-methyl­thio­phene-2-carbaldehyde and 1-(5-chloro­thio­phen-2-yl)ethanone. In the extended structure of the major chalcone component, mol­ecules are linked by a combination of C—H⋯O/S, Cl⋯Cl, Cl⋯π and π–π inter­actions, leading to a compact three-dimensional supra­molecular assembly.

This article describes new developments in the CrystalCMP software. In particular, an automatic procedure for comparison of molecular packing is presented. The key components are an automated procedure for fragment selection and the replacement of the angle calculation by root-mean-square deviation of atomic positions. The procedure was tested on a large data set taken from the Cambridge Structural Database (CSD) and the results of all the comparisons were saved as an HTML page, which is freely available on the web. The analysis of the results allowed estimation of the threshold for identification of identical packing and allowed duplicates and entries with potentially incorrect space groups to be found in the CSD.

Model building into experimental maps is a key element of structural biology, but can be both time consuming and error prone for low-resolution maps. Here we present Namdinator, an easy-to-use tool that enables the user to run a molecular dynamics flexible fitting simulation followed by real-space refinement in an automated manner through a pipeline system. Namdinator will modify an atomic model to fit within cryo-EM or crystallography density maps, and can be used advantageously for both the initial fitting of models, and for a geometrical optimization step to correct outliers, clashes and other model problems. We have benchmarked Namdinator against 39 deposited cryo-EM models and maps, and observe model improvements in 34 of these cases (87%). Clashes between atoms were reduced, and the model-to-map fit and overall model geometry were improved, in several cases substantially. We show that Namdinator is able to model large-scale conformational changes compared to the starting model. Namdinator is a fast and easy tool for structural model builders at all skill levels. Namdinator is available as a web service (https://namdinator.au.dk), or it can be run locally as a command-line tool.

Serial rotation electron diffraction (SerialRED) has been developed as a fully automated technique for three-dimensional electron diffraction data collection that can run autonomously without human intervention. It builds on the previously established serial electron diffraction technique, in which submicrometre-sized crystals are detected using image processing algorithms. Continuous rotation electron diffraction (cRED) data are collected on each crystal while dynamically tracking the movement of the crystal during rotation using defocused diffraction patterns and applying a set of deflector changes. A typical data collection screens up to 500 crystals per hour, and cRED data are collected from suitable crystals. A data processing pipeline is developed to process the SerialRED data sets. Hierarchical cluster analysis is implemented to group and identify the different phases present in the sample and to find the best matching data sets to be merged for subsequent structure analysis. This method has been successfully applied to a series of zeolites and a beam-sensitive metal–organic framework sample to study its capability for structure determination and refinement. Two multi-phase samples were tested to show that the individual crystal phases can be identified and their structures determined. The results show that refined structures obtained using automatically collected SerialRED data are indistinguishable from those collected manually using the cRED technique. At the same time, SerialRED has lower requirements of expertise in transmission electron microscopy and is less labor intensive, making it a promising high-throughput crystal screening and structure analysis tool.

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.

Although the success of molecular-replacement techniques requires the solution of a six-dimensional problem, this is often subdivided into two three-dimensional problems. REMO09 is one of the programs which have adopted this approach. It has been revisited in the light of a new probabilistic approach which is able to directly derive conditional distribution functions without passing through a previous calculation of the joint probability distributions. The conditional distributions take into account various types of prior information: in the rotation step the prior information may concern a non-oriented model molecule alone or together with one or more located model molecules. The formulae thus obtained are used to derive figures of merit for recognizing the correct orientation in the rotation step and the correct location in the translation step. The phases obtained by this new version of REMO09 are used as a starting point for a pipeline which in its first step extends and refines the molecular-replacement phases, and in its second step creates the final electron-density map which is automatically interpreted by CAB, an automatic model-building program for proteins and DNA/RNA structures.

Electron diffraction tomography (EDT) has gained increasing interest, starting with the development of automated electron diffraction tomography (ADT) which enables the collection of three-dimensional electron diffraction data from nano-sized crystals suitable for ab initio structure analysis. A basic description of the ADT method, nowadays recognized as a reliable and established method, as well as its special features and general applicability to different transmission electron microscopes is provided. In addition, the usability of ADT for crystal structure analysis of single nano-sized crystals with and without special crystallographic features, such as twinning, modulations and disorder is demonstrated.

In this paper, the design and functionalities of the high-throughput TELL sample exchange system for macromolecular crystallography is presented. TELL was developed at the Paul Scherrer Institute with a focus on speed, storage capacity and reliability to serve the three macromolecular crystallography beamlines of the Swiss Light Source, as well as the SwissMX instrument at SwissFEL.

Molybdenum oxides and sulfides on various low-cost high-surface-area supports are excellent catalysts for several industrially relevant reactions. The surface layer structure of these materials is, however, difficult to characterize due to small and disordered MoOx domains. Here, it is shown how X-ray total scattering can be applied to gain insights into the structure through differential pair distribution function (d-PDF) analysis, where the scattering signal from the support material is subtracted to obtain structural information on the supported structure. MoOx catalysts supported on alumina nanoparticles and on zeolites are investigated, and it is shown that the structure of the hydrated molybdenum oxide layer is closely related to that of disordered and polydisperse polyoxometalates. By analysing the PDFs with a large number of automatically generated cluster structures, which are constructed in an iterative manner from known polyoxometalate clusters, information is derived on the structural motifs in supported MoOx.

New developments in the program CrystalCMP are presented, and the program is tested on a large number of crystal structures extracted from the Cambridge Structural Database.

Björn Eismann, Teresa G. Krieger, Jürgen Beneke, Ruben Bulkescher, Lukas Adam, Holger Erfle, Carl Herrmann, Roland Eils, and Christian Conrad

3D cell cultures enable the in vitro study of dynamic biological processes such as the cell cycle, but their use in high-throughput screens remains impractical with conventional fluorescent microscopy. Here, we present a screening workflow for the automated evaluation of mitotic phenotypes in 3D cell cultures by light-sheet microscopy. After sample preparation by a liquid handling robot, cell spheroids are imaged for 24 hours in toto with a dual-view inverted selective plane illumination microscope (diSPIM) with a much improved signal-to-noise ratio, higher imaging speed, isotropic resolution and reduced light exposure compared to a spinning disc confocal microscope. A dedicated high-content image processing pipeline implements convolutional neural network based phenotype classification. We illustrate the potential of our approach by siRNA knock-down and epigenetic modification of 28 mitotic target genes for assessing their phenotypic role in mitosis. By rendering light-sheet microscopy operational for high-throughput screening applications, this workflow enables target gene characterization or drug candidate evaluation in tissue-like 3D cell culture models.

A new approach is presented to obtain candidate structures from atomic pair distribution function (PDF) data in a highly automated way. It fetches, from web-based structural databases, all the structures meeting the experimenter's search criteria and performs structure refinements on them without human intervention. It supports both X-ray and neutron PDFs. Tests on various material systems show the effectiveness and robustness of the algorithm in finding the correct atomic crystal structure. It works on crystalline and nanocrystalline materials including complex oxide nanoparticles and nanowires, low-symmetry and locally distorted structures, and complicated doped and magnetic materials. This approach could greatly reduce the traditional structure searching work and enable the possibility of high-throughput real-time auto-analysis PDF experiments in the future.

A method is adapted to generate a full rank realization of an abstract regular polyhedron with automorphism group H3.

Structure-mining finds and returns the best-fit structures from structural databases given a measured pair distribution function data set. Using databases and heuristics for automation it has the potential to save experimenters a large amount of time as they explore candidate structures from the literature.