In this paper, a neuromorphic crossbar circuit with binary memristors is proposed for speech recognition. The binary memristors which are based on filamentary-switching mechanism can be found more popularly and are easy to be fabricated than analog memristors that are rare in materials and need a more complicated fabrication process. Thus, we develop a neuromorphic crossbar circuit using filamentary-switching binary memristors not using interface-switching analog memristors. The proposed binary memristor crossbar can recognize five vowels with 4-bit 64 input channels. The proposed crossbar is tested by 2,500 speech samples and verified to be able to recognize 89.2% of the tested samples. From the statistical simulation, the recognition rate of the binary memristor crossbar is estimated to be degraded very little from 89.2% to 80%, though the percentage variation in memristance is increased very much from 0% to 15%. In contrast, the analog memristor crossbar loses its recognition rate significantly from 96% to 9% for the same percentage variation in memristance.

Abstract-In this paper, we propose a new memristorbased crossbar array architecture, where a single memristor array and constant-term circuit are used to represent both plus-polarity and minus-polarity matrices. This is different from the previous crossbar array architecture which has two memristor arrays to represent plus-polarity and minus-polarity connection matrices, respectively. The proposed crossbar architecture is tested and verified to have the same performance with the previous crossbar architecture for applications of character recognition. For areal density, however, the proposed crossbar architecture is twice better than the previous architecture, because only single memristor array is used instead of two crossbar arrays. Moreover, the power consumption of the proposed architecture can be smaller by 48% than the previous one because the number of memristors in the proposed crossbar architecture is reduced to half compared to the previous crossbar architecture. From the high areal density and high energy efficiency, we can know that this newly proposed crossbar array architecture is very suitable to various applications of analog neuromorphic computing that demand high areal density and low energy consumption.

The incidence of clinically significant anastomotic leaks after upper gastrointestinal surgery is approximately 4 % - 20 %, and the associated mortality can be as high as 80 %. Depending on the clinical presentation, the treatment options are surgery, conservative treatment with external drainage, or endoscopic treatment. This report presents 39 cases of clinically apparent anastomotic leaks or fistulas after surgery for upper gastrointestinal cancers that were treated by endoscopy with insertion of fibrin glue alone (n = 24) or with a combination of Vicryl plug and fibrin glue (n = 15). Thirteen of the 15 patients who underwent Vicryl/fibrin treatments showed complete healing of the anastomotic leak or fistula after one to four sessions. Long-term follow-up results are presented. Postoperative upper gastrointestinal fistulas or anastomotic leaks can be managed successfully with low morbidity by means of endoscopic insertion of Vicryl mesh with fibrin glue, thereby avoiding repeated major surgery and its associated risks.

Postoperative upper gastrointestinal fistulas or anastomotic leaks can be managed successfully with little morbidity by means of endoscopic insertion of Vicryl mesh with fibrin glue, thereby avoiding repetitive major surgery and its associated risks.

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