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Delhi High Court Orders Unfreezing of SSSDC Bank Accounts

The Court of Hon’ble Justice Vibhu Bakhru upheld that the communication issued by National Skill Develop Corporation (NSDC) on 9 January 2018 to the AXIS Bank directing it to freeze the bank accounts of the petitioner i.e., Security Sector Skill Development Council (SSSDC), was plainly without any authority of law and accordingly that has been set aside. The Court asked Abhinav Vashisht, the senior counsel appearing for NSDC, to indicate any provision of law that authorises his client to take such action. Mr Vashisht contended that as the petitioner was diverting the funds, and the action was taken in pursuant to the direction issued by the Government of India, it was justified. However, he was unable to cite any provision of law which authorises the Corporation to direct the bank to freeze the accounts. The principal reason for NSDC to have taken the said action stems from an allegation that the petitioner had diverted the grant given by the Government of India. SSSDC does agree that the grant was provided to them some years ago, however, they also confirm that it was fully utilised for the purpose it was given for. At the given stage, the Court didn’t consider whether the allegations made were correct or not; it just examined whether NSDC had any authority in law to direct freezing of the bank accounts of any other entity. The court, however, clarified that the order does not preclude the Corporation from initiating any action in accordance with the law including for recovering any amount, which as it claims is recoverable from the petitioner. On the other hand, the court also reserved all rights of SSSDC including their right to pursue remedies in respect to other prayers which were not processed at the stage. A notice issued by the Court in this connection was accepted by the counsel of respondents. Earlier, SSSDC filed the petition, inter alia, praying as under: a. Issue an appropriate writ of Mandamus and/ or such other appropriate writ, order or direction quashing and setting aside the impugned order dated 05.01.2018 and 09.01.2018 issued by the Ministry of Skill Development & Entrepreneurship; and/or b. Issue an appropriate writ of Mandamus and/ or such other appropriate writ, order or direction quashing and setting aside the impugned order 09.01.2018 passed by NSDC. Arvind Datar, the senior counsel appearing for SSSDC, however, restricted the relief in the present petition to the second prayer by which SSSDC challenged the NSDC order whereby they had directed AXIS Bank to freeze the bank accounts of SSSDC. Vaibhav Gaggar, Partner, Gaggar & Partners, who represented SSSDC in the High Court Commented, “The way the proceedings went and the judgment of the Hon’ble court showed in no uncertain terms that certain bodies are clearly targeting the SSSDC and are willing to resort to means which are well beyond their powers under law in order to hurt them. It was inconceivable as to how the bodies concerned were able to get the bank to freeze accounts of SSSDC without following any law whatsoever. The judgment should go a long way in eradicating the arbitrary and strong arm measures which are sought to be resorted to by the concerned parties.”  

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Adoption of Under-display Fingerprint Sensor for Smartphones

Smartphone brands are expected to increase their adoption of under-display fingerprint sensors, which allow phones to have full-screen displays with an invisible fingerprint feature, according to IHS Markit, a world leader in critical information, analytics and solutions. Shipments of smartphones using ‘underdisplay fingerprint sensor’ is forecast to reach at least 9 million units in 2018 and top 100 million units by 2019, according to the new Display Fingerprint Technology & Market Report – 2018 by IHS Markit. The market will keep growing remarkably for the next three years, led by Samsung Electronics and Chinese smartphone brands such as Vivo, Huawei and Xiaomi. By integrating the fingerprint sensor under the display of a smartphone, the phone can offer an invisible and front-side fingerprint feature with 18:9 or higher ratio full-screen displays. Applications using under-display fingerprint sensors, including the Vivo X20 and X21 and the Huawei Mate RS, were finally launched in late March. More are expected to come to market in the second half of 2018. Apple was the first to introduce fingerprint recognition as major biometric identification. It launched Touch ID on the iPhone in 2013, followed in 2015 by Android system’s native fingerprint sensing support, which has contributed to the market’s dramatic growth for the past few years. Due to its convenience and intuitive use, fingerprint recognition was applied to more than 60 percent of total smartphone shipments in 2017. User preferences for a better viewing experience gave rise to larger, full-screen displays on smartphones, but earlier models were limited to having the fingerprint sensors being placed outside the screen boundary. The introduction of rear-side fingerprint sensing came as a compromise to overcome these limitations with full-screen smartphones. Now, the under-display fingerprint solution allows for the sensor to return to the front side of the smartphone. “With Vivo and Huawei recently launching several models with the under-display fingerprint solution, it is certainly rising as a new trend,” said Calvin Hsieh, Director of Touch and User Interface Research at IHS Markit, “This also pressures Samsung Electronics, which hasn’t decided whether or not to adopt the solution in its Galaxy Note 9.” If Samsung applies the solution to the Galaxy Note 9, shipments of smartphones with the solution will hike to more than 20 million units in 2018, from the currently estimated 9 million units, IHS Markit predicts. Almost all fingerprint IC makers are interested in developing under-display fingerprint solutions because the profit margin is much higher than discrete solutions. Leading solution makers include Synaptics, Goodix, Qualcomm and Egis, followed by Samsung LSI, FPC, VkanSee, CrucialTec, BeyondEyes and FocalTech. Among panel makers, Samsung Display – with mature active-matrix organic light-emitting diode (AMOLED) panel manufacturing technology – takes the leading role as the under display fingerprint can be only applied to AMOLED for now, followed by BOE. The Touch Panel Market Tracker by IHS Markit provides a variety of in-depth analyses on touch panel market, including touch user interface technology, market dynamic and emerging trends.

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NIST Builds Statistical Foundation for NextGeneration Forensic DNA Profiling

NIST scientists have published statistical data needed for forensic DNA profiling based on a technology called Next Generation Sequencing. To do that, they sequenced forensic DNA markers for a sample population. The letters A, G, T, and C represent the building blocks of DNA. DNA is often considered the most reliable form of forensic evidence, and this reputation is based on the way DNA experts use statistics. When they compare the DNA left at a crime scene with the DNA of a suspect, experts generate statistics that describe how closely those DNA samples match. A jury can then take those match statistics into account when deciding guilt or innocence. These match statistics are reliable because they’re based on rigorous scientific research. However, that research only applies to DNA fingerprints, also called DNA profiles, that have been generated using current technology. Now, scientists at the National Institute of Standards and Technology (NIST) have laid the statistical foundation for calculating match statistics when using Next Generation Sequencing, or NGS, which produces DNA profiles that can be more useful in solving some crimes. This research, which was jointly funded by NIST and the FBI, was published in Forensic Science International: Genetics. “If you’re working criminal cases, you need to be able to generate match statistics,” said Katherine Gettings, the NIST biologist who led the study, “The data we’ve published will make it possible for labs that use NGS to generate those statistics.” How to create a dna profile To generate a DNA profile, forensic labs analyze sections of DNA, called genetic markers, where the genetic code repeats itself, like a word typed over and over again. Those sections are called short tandem repeats, or STRs, and the number of repeats at each marker varies from person to person. The analyst doesn’t actually read the genetic sequence inside those markers, but just counts the number of repeats at each one. That yields a series of numbers that, like a long social security number, can be used to identify a person. STR-based profiling was developed in the 1990s, when genetic sequencing was hugely expensive. Today, NGS makes sequencing cost-effective for biomedical research and other applications. NGS can also be used to create forensic DNA profiles that, unlike traditional STR profiles, include the actual genetic sequence inside the markers. That provides a lot more data. That extra data might not be needed because in most cases, STR-based profiles contain more than enough information to reliably identify a suspect. However, if the evidence contains only a minute amount of DNA, or if the DNA has been exposed to the elements and has begun to break down, then the analyst might only get a partial profile, which may not be enough to identify a suspect. In those cases, the extra data in an NGS-based profile might help solve the case. In addition, evidence that contains a mixture of DNA from several people can be difficult to interpret. The extra data in NGS-based profiles can help in those cases as well. Calculating match statistics DNA analysts are able to calculate match statistics for STR-based profiles because scientists have measured how frequently different versions of the markers occur in the population. With those frequencies, one can calculate the chances of randomly encountering a particular DNA profile, just as he can calculate the chances of picking all the right numbers in a lottery. NIST measured those STR gene frequencies years ago using a library of DNA samples from 1,036 individuals. To calculate gene frequencies for NGSbased profiles, Gettings and her co-authors cracked open the freezer that contained the original samples, which were anonymized and donated by people who consented to their DNA being used for research. The scientists generated NGS-based profiles for them by sequencing 27 markers – the core set of 20 included in most DNA profiles in the U.S. plus seven others. They then calculated the frequencies for the various genetic sequences found at each marker. It might be surprising that scientists can estimate gene frequencies from such a small library of samples. However, the NIST team was measuring frequencies not for the full profiles, but for the individual markers. Since they sequenced 27 markers, with each marker occurring twice per sample, the number of markers tested wasn’t 1,036, but more than 55,000 Although NIST has now published the data needed to generate match statistics for NGS-based profiles, other hurdles must still be cleared before the new technology sees widespread use in forensics. For instance, labs will have to develop ways to manage the greater amounts of data produced by NGS. They will also have to implement operating procedures and quality controls for the new technology. “Still, while much work remains,” said Peter Vallone, the Research Chemist who leads NIST’s Forensic Genetics Research, “We’re laying the foundation for the future.”

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