Chongqing Normal University

About: Chongqing Normal University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Population & Optimization problem. The organization has 3653 authors who have published 4203 publications receiving 50558 citations.

Guidelines for the nomenclature of the human heat shock proteins

Abstract: The expanding number of members in the various human heat shock protein (HSP) families and the inconsistencies in their nomenclature have often led to confusion. Here, we propose new guidelines for the nomenclature of the human HSP families, HSPH (HSP110), HSPC (HSP90), HSPA (HSP70), DNAJ (HSP40), and HSPB (small HSP) as well as for the human chaperonin families HSPD/E (HSP60/HSP10) and CCT (TRiC). The nomenclature is based largely on the more consistent nomenclature assigned by the HUGO Gene Nomenclature Committee and used in the National Center of Biotechnology Information Entrez Gene database for the heat shock genes. In addition to this nomenclature, we provide a list of the human Entrez Gene IDs and the corresponding Entrez Gene IDs for the mouse orthologs.

A community-derived classification for extant lycophytes and ferns

Abstract: Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predic ...

Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays

Abstract: Signed languages are not as pervasive a conversational medium as spoken languages due to the history of institutional suppression of the former and the linguistic hegemony of the latter This has led to a communication barrier between signers and non-signers that could be mitigated by technology-mediated approaches Here, we show that a wearable sign-to-speech translation system, assisted by machine learning, can accurately translate the hand gestures of American Sign Language into speech The wearable sign-to-speech translation system is composed of yarn-based stretchable sensor arrays and a wireless printed circuit board, and offers a high sensitivity and fast response time, allowing real-time translation of signs into spoken words to be performed By analysing 660 acquired sign language hand gesture recognition patterns, we demonstrate a recognition rate of up to 9863% and a recognition time of less than 1 s Wearable yarn-based stretchable sensor arrays, combined with machine learning, can be used to translate American Sign Language into speech in real time

Data analysis approaches of soft sets under incomplete information

Abstract: In view of the particularity of the value domains of mapping functions in soft sets, this paper presents data analysis approaches of soft sets under incomplete information. For standard soft sets, the decision value of an object with incomplete information is calculated by weighted-average of all possible choice values of the object, and the weight of each possible choice value is decided by the distribution of other objects. For fuzzy soft sets, incomplete data will be predicted based on the method of average-probability. Results of comparison show that comparing to other approaches for dealing with incomplete data, these approaches presented in this paper are preferable for reflecting actual states of incomplete data in soft sets. At last, an example is provided to illuminate the practicability and validity of the data analysis approach of soft sets under incomplete information.