Abstract: The present invention discloses a manufacturing method of an Optically Compensated Bend (OCB) liquid crystal panel, which comprises: an arranging step S1 for alternately arranging a plurality of thin-film transistor (TFT) substrates and a plurality of color filter (CF) substrates, the TFT substrates and the CF substrates are coated with optical alignment material; a light irradiating step S2 for using an ultraviolet (UV) light source to irradiate the TFT substrates and the CF substrates so that alignment films of predetermined alignment directions are formed by the optical alignment material on the TFT substrates and the CF substrates; and an attaching step S3 for attaching each of the TFT substrates and an adjacent one of the CF substrates in such a way that an alignment direction of the TFT substrate is the same as that of the corresponding CF substrate and filling an OCB liquid crystal layer therebetween to form a plurality of OCB liquid crystal panels.

Abstract: In a commerce transaction between a buyer and seller that involves transfer of an item, payment is made through an independent online payment system. A seller sends a threshold amount and a payment amount to a payment server for the transaction involving the item. The payment server creates an intermediate account based on the threshold amount and the payment amount. To proceed with the transaction, a buyer transfers a fund amount to the payment server. The payment server determines whether the fund amount is not less than the threshold amount, and if so, the payment server designates the fund amount as an account balance associated with the buyer in the intermediate account. The payment server then transfers funds corresponding to the payment amount from the intermediate account to an account designated by the seller after receiving a payment request indicating the buyer's receipt of the item.

Abstract: The present invention is a method and a system for determining junk information related to the fields of information filtering, and can solve the problem of improperly predefined junk information. The method includes: pre-defining junk information keywords in data samples; computing keyword scores for each of the keywords; simulating filtering of the data samples using the keyword scores to obtain a filtering index value; determining whether the filtering index value satisfies an evaluation index; if not satisfied, revising the keywords or the keyword scores and repeating the simulating to obtain a new filtering index value; and if satisfied, terminating the revising. The disclosed method can help a user more reasonably define junk information keywords and keyword scores, and determine whether information is junk information based on the keywords and corresponding scores, thereby improving efficiency of information filtering.

Abstract: A method for producing cellulose diacetate with bamboo fibers as a raw material having the steps of soaking, treating with ultrasonic sound, de-acidifying, acetylating, hydrolyzing, precipitating, screening, extruding, washing, rolling, and drying. The method reduces the material loss and pollution, completely swells and dissolves the bamboo fibers, accelerates the fibrillation, reduces the crystallinity, improves the accessibility of the fibers, recycles acetic acid, and reduces the material consumption.

Abstract: The present invention is a method and a system for determining junk information related to the fields of information filtering, and can solve the problem of improperly predefined junk information. The method includes: pre-defining junk information keywords in data samples; computing keyword scores for each of the keywords; simulating filtering of the data samples using the keyword scores to obtain a filtering index value; determining whether the filtering index value satisfies an evaluation index; if not satisfied, revising the keywords or the keyword scores and repeating the simulating to obtain a new filtering index value; and if satisfied, terminating the revising. The disclosed method can help a user more reasonably define junk information keywords and keyword scores, and determine whether information is junk information based on the keywords and corresponding scores, thereby improving efficiency of information filtering.