查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Existing systems and methods for installing sol ar panels are inefficient and substantially impacted by the terrain and site lay out of a solar panel farm. Additionally, conventional solar panel installation s ystems are time-consuming and burdensome, often involving highly skilled laborer s to install solar panels onto torque tubes. Further, solar panel installation s ystems are not well-adapted for installation by autonomous machines. For example , conventional solar panel installation systems may require a step- by-step proce ss where brackets are slid onto torque tubes, panels are then moved horizontally onto the brackets, and finally, a plurality of fasteners are engaged on an unde rside of the bracket.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors: “Companies distribute information to recipients in various document formats. Document source detection helps protect against document leaks .” As a supplement to the background information on this patent, NewsRx corresponde nts also obtained the inventors’ summary information for this patent: “At a high level, aspects herein relate to generating unique copies of documents by modify ing terminology within the document. The terminology may be modified in a manner that preserves the tone, e.g., the original intent or semantic meaning of the c hanged terms. This can be done as part of a document encoding process where uniq ue copies are made and distributed to help prevent information leaks, along with identifying the source of a document leak, should one occur.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Public employment services (PES) commonly apply profiling systems to target sup port programs to jobseekers at risk of becoming long-term unemployed. Such syste ms often codify institutional experiences in a set of decision rules, whose pred ictive ability, however, is seldomly tested. We systematically evaluate the pred ictive performance of a rule-based system currently implemented by the PES of Ca talonia, Spain, in comparison to the performance of statistical models in predic ting future long-term unemployment episodes.
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