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434results about How to "Efficient induction" patented technology

Resonance driven changes in chain molecule structure

PCT No. PCT/DK96/00158 Sec. 371 Date Nov. 26, 1997 Sec. 102(e) Date Nov. 26, 1997 PCT Filed Apr. 1, 1996 PCT Pub. No. WO96/30394 PCT Pub. Date Oct. 3, 1996The invention relates to the technical application of electromagnetic radiation such as microwaves and radiowaves and application of ultra sound to chain molecules. In particular, the present invention relates to the utilization of topological excitations such as wring, twist and torsional modes, e.g., for generating structure, such as in folding, refolding or renaturation, and denaturation or unfolding of peptides, polypeptides, proteins, and enzymes; for generating changes in molecular affinity; for stimulating drug receptor interactions; and for changing molecular communication, is described. The technique is based on a new understanding of the underlying physical phenomenon and can also be applied to other chain molecules and biologically active biomolecules and tailored polymers such as glucoproteins, antibodies, genomic chain molecules such as DNA and RNA as well as PNA, carbohydrates, and synthetic and natural organic polymers. The invention is especially applicable for solving problems related to inclusion bodies and aggregation when using recombinant DNA and protein engineering techniques. Furthermore, the invention can be utilized in therapeutic treatment and in development and production of pharmaceuticals. The area of applicability ranges from biotechnological industry, food industry, drug industry, pharmacological industry, chemical industry, and concerns, e.g., the treatment of conditions and diseases related to influenza, hepatitis, polio, malaria, borrelia, diabetes, Alzheimer's disease, Creutzfeldt Jakob disease, other prion related diseases, multiple sclerosis, cataract, heart diseases, cancer, and aging.
Owner:PROKYON

Urban road network induction scheme issuing method and system based on trip structure

The invention discloses an urban road network induction scheme issuing method and system based on a trip structure. The system comprises a data access module, a demand structure analysis module, an induction path searching module, an induction strategy generation module and an induction issuing module; and the method comprises the following steps: firstly, acquiring whole road network motor vehicle gate vehicle-passing records in designated time through the data access module, and acquiring the trip structure of a motor vehicle based on the gate vehicle-passing records; subsequently, buildinga road network topological structure according to the trip structure to acquire OD (Outside Diameter) dotted pair sets of the road network and corresponding trip path sets; then acquiring real-time traffic flow data of the trip path sets, and generating congestion road section sets based on the traffic flow data; simultaneously, building an induction path searching model based on the congestion road section sets, and generating multiple induction paths for each OD dotted pair based on traffic operation situations and historical passage tracks of the road network; and finally, determining an optimal induction issuing strategy and a sub-optimal induction issuing strategy according to the trip of the motor vehicle. According to the urban road network induction scheme issuing method and systembased on the trip structure disclosed by the invention, the road network passage efficiency can be promoted.
Owner:JIANGSU ZHITONG TRANSPORTATION TECH

Student comprehensive portrait label management system for online teaching based on deep learning

The invention discloses a student comprehensive portrait label management system for online teaching based on deep learning, and the system comprises a data acquisition unit, a data preprocessing unit, an image label refining unit, and a result output and presentation unit. The system employs the point burying technology, the brain wave acquisition technology, the viewpoint tracking technology, the image recognition technology, the text mining technology and a deep learning algorithm for the learning contents, behaviors, physical sings and result data of students, and carries out the integration, checking and cleaning of the data collected and obtained from a plurality of data sources. The important dimension information is screened out of the basic data, and a representative portrait label is extracted, and a top-to-bottom integrated label system is formed. The portrait label result is displayed and used in a visualized manner through a proper logic. The system achieves the scientificevaluation of the hierarchical capability of student groups and individuals, achieves the scientific evaluation and presentation of the hierarchical capability of student groups and individuals in asystematic manner, and effectively guides the optimization and improvement of a student training scheme and a teaching content plan.
Owner:SHANGHAI OPEN UNIVERSITY
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