For which you should be eligible to appear for UGC NET Exams.If you are thinking after qualifying MBA you are eligible for a lecturer post, then I would like to clear you there are certain factors that you should know.1.
You should know your other "UGC NET Eligibility" to appear for the NET Exam.When it comes to the Eligibility of UGC NET Exams, There are four prospectives that we have to consider;a) Qualifying Criteria: In This includes your qualification that Masters's is compulsory before applying for the UGC NET Exams.b) Age Limit and relaxationsc) Qualifying Marks Criteriad) Number of attemptsYou don't have to worry about eligibility as we've linked eligibility above-mentioned link.UGC NET 2021 Notification (Out): Download Official NotificationUGC NET 2021 notification has been released on February 2 by the National Testing Agency (NTA).
The link to fill UGC NET application form 2021, has been activated on February 2.
The UGC NET 2021 exam will be conducted on May 2, 3, 4, 5, 6, 7, 10, 11, 12, 14, and 17.The UGC NET notification contains all important details about the exam such as dates, eligibility criteria, paper pattern, syllabus, result declaration criteria, etc.
In order to make changes in the form, candidates need to follow the given steps:Step 1: Visit the website- ugcnet.nta.nic.inStep 2: Click on the link 'Correction Application Form Dec 2020 Cycle’Step 3: Sign in using your application number, password and security pinStep 4: Make corrections in the application formStep 5: Pay additional fee, if anyStep 6: Save the final copyStep 7: Download the confirmation pageDocuments/Information to Keep Ready Before Filling UGC NET Application FormTo avoid any inconvenience at the time of UGC NET registrations, candidates are advised to keep the following documents/information ready beforehand:Board/University certificate1.
Permanent and correspondence address with pin codeFour exam cities in order of preference9.
DGIST announced on July 2 that Professor Seong-Woon Yu's team in the Department of Brain and Cognitive Sciences discovered that chronic stress causes autophagic death of adult hippocampal neural stem cells (NSCs).
However, the exact mechanisms underlying damages of brain functions have not been well known yet.
While the previous animal studies found that generation of new neurons is much less in stressed mice, apoptosis1, a well-known cell suicide pathway was not found in NSCs, leading to a conclusion that cell death is not related with loss of NSCs during stress.
Professor Yu's team discovered for the first time that chronic stress causes autophagic death of adult hippocampal NSCs.
Autophagy (self-eating in Greek) is a cellular process to protect cells from unfavorable conditions through digestion and recycling of inner cell materials, thereby cells can remove toxic or old intracellular components and get nutrients and metabolites for survival.
However, autophagy can turn into self-destruction process under certain conditions, leading to autophagic cell death.
A technology that can obtain high-resolution, micrometer-sized images for mass spectrometric analysis without sample preparation has been developed.
DGIST Research Fellow Jae Young Kim and Chair-professor Dae Won Moon's team succeeded in developing the precise analysis and micrometer-sized imaging of bio samples using a small and inexpensive laser.
DGIST announced that Research Fellow Jae Young Kim in the Department of Robotics Engineering and Chair-professor Dae Won Moon's team developed a technology that can analyze experiment samples without any preparation processing.
Due to its ability to obtain high-resolution mass spectrometric images without an experimental environment using 'continuous wave laser'1, the technology is expected to be applied widely in the precise medicine and medical diagnosis fields.
Many advance preparations are needed for the mass spectrometric imaging of biometric samples using 'specimen,' which thinly cut an object to analyze.
The specimen must be changed artificially since they cannot be analyzed accurately in a room temperature or atmospheric pressure.
Cybersecurity researchers at Tel Aviv University and the Technion Institute of Technology have discovered critical vulnerabilities in the Siemens S7 Simatic programmable logic controller (PLC), one of the world's most secure PLCs that are used to run industrial processes.
Prof. Avishai Wool and M.Sc student Uriel Malin of TAU's School of Electrical Engineering worked together with Prof. Eli Biham and Dr. Sara Bitan of the Technion to disrupt the PLC's functions and gain control of its operations.
The team is slated to present their findings at Black Hat USA week in Las Vegas this month, revealing the security weaknesses they found in the newest generation of the Siemens systems and how they reverse-engineered the proprietary cryptographic protocol in the S7.
"The station was able to remotely start and stop the PLC via the commandeered Siemens communications architecture, potentially wreaking havoc on an industrial process," Prof.
"We were then able to wrest the controls from the TIA and surreptitiously download rogue command logic to the S7-1500 PLC."
The researchers hid the rogue code so that a process engineer could not see it.
A technology that can obtain high-resolution, micrometer-sized images for mass spectrometric analysis without sample preparation has been developed.
DGIST Research Fellow Jae Young Kim and Chair-professor Dae Won Moon's team succeeded in developing the precise analysis and micrometer-sized imaging of bio samples using a small and inexpensive laser.
DGIST announced that Research Fellow Jae Young Kim in the Department of Robotics Engineering and Chair-professor Dae Won Moon's team developed a technology that can analyze experiment samples without any preparation processing.
Due to its ability to obtain high-resolution mass spectrometric images without an experimental environment using 'continuous wave laser'1, the technology is expected to be applied widely in the precise medicine and medical diagnosis fields.
Many advance preparations are needed for the mass spectrometric imaging of biometric samples using 'specimen,' which thinly cut an object to analyze.
The specimen must be changed artificially since they cannot be analyzed accurately in a room temperature or atmospheric pressure.
Cybersecurity researchers at Tel Aviv University and the Technion Institute of Technology have discovered critical vulnerabilities in the Siemens S7 Simatic programmable logic controller (PLC), one of the world's most secure PLCs that are used to run industrial processes.
Prof. Avishai Wool and M.Sc student Uriel Malin of TAU's School of Electrical Engineering worked together with Prof. Eli Biham and Dr. Sara Bitan of the Technion to disrupt the PLC's functions and gain control of its operations.
The team is slated to present their findings at Black Hat USA week in Las Vegas this month, revealing the security weaknesses they found in the newest generation of the Siemens systems and how they reverse-engineered the proprietary cryptographic protocol in the S7.
"The station was able to remotely start and stop the PLC via the commandeered Siemens communications architecture, potentially wreaking havoc on an industrial process," Prof.
"We were then able to wrest the controls from the TIA and surreptitiously download rogue command logic to the S7-1500 PLC."
The researchers hid the rogue code so that a process engineer could not see it.
