Abstract: A method for decommissioning a wind turbine blade includes separating a root section of a turbine blade from a tip section of a turbine blade, and laterally cutting the tip section of the turbine blade into a plurality of separate tip subsections. Each tip subsection is cut along its length, flattened, deposited into a compacting and bundling apparatus, and compressed. The compressed tip subsections are bundled in the compacting and bundling apparatus with banding material to form a bundle. The bundle is removed from the compacting and bunding apparatus and loaded onto a transportation vehicle. A compacting and bundling apparatus includes a base having four base members that form a rigid base structure, a plurality of vertical posts secured to the base structure, and two cross members from a first side of the base to an opposing second side of the base.

Abstract: There is disclosed a method of automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method comprises: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML) model to perform a ML based analysis on an abstract syntax tree (AST) for detecting a first security vulnerability over a static source code, the machine learning based analysis comprise (i) flattening the abstract syntax tree (AST) into a sequence of structured tokens, wherein the sequence of structured tokens comprises a semantic structure and a syntactic structure of the source code, (ii) implementing a natural language processing technique on the sequence of structured tokens for mapping the sequence of structured tokens to one or more integers, (iii) pre-training the machine learning model using an unlabeled source code as

Abstract: A method for (of) automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method includes: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML) model to perform a ML based analysis on an abstract syntax tree (AST) for detecting a first security vulnerability over a static source code, the machine learning based analysis comprise (i) flattening the abstract syntax tree (AST) into a sequence of structured tokens, wherein the sequence of structured tokens includes a semantic structure and a syntactic structure of the source code, (ii) implementing a natural language processing technique on the sequence of structured tokens for mapping the sequence of structured tokens to one or more integers, (iii) pre-training the machine learning model using an unlabeled source code as an input to pre

Abstract: A method for validating a vulnerability submitted by a tester in a crowdsourcing environment. The method comprises identifying at least one vulnerability within at least one computer resource and receiving vulnerability data corresponding to the at least one vulnerability. The method further comprises pre-processing the vulnerability data to generate structured data and generating a replica of the vulnerability using the structured data and at least one validator. Further, the method comprises calculating a confidence score of the vulnerability using the replica of the vulnerability and a result of the at least one validator. The method executes at least one validating instruction based on the confidence score of the vulnerability.

Abstract: A multi-purpose exercise device includes a first side assembly having a first side assembly short side with an angled first side assembly front foot, a first side assembly long side with an angled first side assembly back foot, and a first elbow provided between the first side assembly short side and the first side assembly long side. The multi-purpose exercise device further includes a second side assembly located parallel to the first side assembly, the second side assembly having a second side assembly short side with an angled second side assembly front foot, a second side assembly long side with an angled second side assembly back foot, and a second elbow provided between the second side assembly short side and the second side assembly long side. At least one brace is provided for connecting the first side assembly to the second side assembly.

Abstract: A multi-purpose exercise device includes a first side assembly having a first side assembly short side with an angled first side assembly front foot, a first side assembly long side with an angled first side assembly back foot, and a first elbow provided between the first side assembly short side and the first side assembly long side. The multi-purpose exercise device further includes a second side assembly located parallel to the first side assembly, the second side assembly having a second side assembly short side with an angled second side assembly front foot, a second side assembly long side with an angled second side assembly back foot, and a second elbow provided between the second side assembly short side and the second side assembly long side. At least one brace is provided for connecting the first side assembly to the second side assembly.

Abstract: A pressure activated valve incorporates arrangements of permanent magnets within the valve housing to establish a pressure threshold at which the valve is either opened or closed. The magnets are mounted relative to one another with opposing polarities; so that the repelling force between the magnets establishes the pressure threshold at which the valve is operated.