An architecture of internet based data processing based on multicast and anycast protocols

Most of the current web-based application systems suffer from poor performance and costly heterogeneous accessing. Distributed or replicated strategies can alleviate the problem in some degree, but there are still some problems of the distributed or replicated model, such as data synchronization, load balance, and so on.&nbsp; In this paper, we propose a novel architecture for Internet-based data processing system based on multicast and anycast protocols. The proposed architecture breaks the functionalities of existing data processing system, in particular, the database functionality, into several agents. These agents communicate with each other using multicast and anycast mechanisms. We show that the proposed architecture provides better scalability, robustness, automatic load balance, and performance than the current distributed architecture of Internet-based dataprocessing.<br /

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering

Text clustering, as one of the most fundamental challenges in unsupervised learning, aims at grouping semantically similar text segments without relying on human annotations. With the rapid development of deep learning, deep clustering has achieved significant advantages over traditional clustering methods. Despite the effectiveness, most existing deep text clustering methods rely heavily on representations pre-trained in general domains, which may not be the most suitable solution for clustering in specific target domains. To address this issue, we propose CEIL, a novel Classification-Enhanced Iterative Learning framework for short text clustering, which aims at generally promoting the clustering performance by introducing a classification objective to iteratively improve feature representations. In each iteration, we first adopt a language model to retrieve the initial text representations, from which the clustering results are collected using our proposed Category Disentangled Contrastive Clustering (CDCC) algorithm. After strict data filtering and aggregation processes, samples with clean category labels are retrieved, which serve as supervision information to update the language model with the classification objective via a prompt learning approach. Finally, the updated language model with improved representation ability is used to enhance clustering in the next iteration. Extensive experiments demonstrate that the CEIL framework significantly improves the clustering performance over iterations, and is generally effective on various clustering algorithms. Moreover, by incorporating CEIL on CDCC, we achieve the state-of-the-art clustering performance on a wide range of short text clustering benchmarks outperforming other strong baseline methods.Comment: The Web Conference 202

Altavoces inteligentes y robots sociales

Altavoces inteligentes y robots sociales son cosas nuevas que pertenecen a la era digital y han entrado a nuestra vida cotidiana. Para estudiar el uso de altavoces inteligentes y robots sociales en la educación, hemos adoptado los siguientes métodos: 1. Comparación de los altavoces inteligentes de diferentes marcas populares en el mercado, y los asistentes virtuales aplicados por cada uno de ellos; 2. Investigar el Robot Social más avanzado del mundo que se llama Nadine, nacida en Universidad tecnológica de Nanyang (NTU) de Singapur; 3. Buscar la inmersión de las TIC de altavoces inteligentes y robots sociales en las situaciones del lenguaje natural; 4. Posibilidad de aplicar estas técnicas computadoras en educación. Creemos que no sólo los altavoces inteligentes, sino también los robots sociales pueden tener un maravilloso futuro y va a facilitar mucho a la sociedad y a la educación.Smart speakers and social robots are new things that belong to the digital age and have entered our daily lives. To study the use of smart speakers and social robots in education, we have adopted the following methods: 1. Comparison of smart speakers from different popular brands in the market, and virtual assistants applied by each of them; 2. Investigate the world's most advanced Social Robot named Nadine, born at Nanyang Technological University (NTU) in Singapore; 3. Seek the immersion of smart speaker ICTs and social robots in natural language situations; 4. Possibility of applying these techniques computers in education. We believe that not only smart speakers, but also social robots can have a wonderful future and will greatly facilitate society and education

Fluctuating levels of reprogramming factor expression in cultured human undifferentiated keratinocytes

Although human undifferentiated keratinocytes (HUKs) can be reprogrammed to become induced pluripotent stem cells (iPSCs) with high efficiency and rapid kinetics by transducing reprogramming factors (RFs), the endogenous expression of reprogramming factors in cultured HUKs is not clear at different stages. In this study, keratinocytes were isolated from foreskin of adult subject (18 years old) and cultured on collagen type IV-coated culture dishes in a low-calcium, serum-free medium (Epilife, Invitrogen). In order to clarify the expression patterns of RFs and other stem cell markers in cultured human keratinocytes, total RNA was extracted using Trizol reagent, and polymerase chain reaction (PCR) was performed using established GenBank sequences to design primers. The subsequent PCR analysis was carried out by agarose gel electrophoresis. The expression levels of RFs and other stem cell markers in human HUKs clearly fluctuated during culturing, which supports the hypothesis that HUKs might be reprogrammed into a pluripotent state when the maximum levels of RFs expression are maintained by appropriate culture conditions.Keywords: Human undifferentiated keratinocytes, reprogramming factors, expression fluctuationAfrican Journal of Biotechnology Vol. 12(35), pp. 5389-539

Highly active air electrode catalysts for Zn‐air batteries: Catalytic mechanism and active center from obfuscation to clearness

Carbon‐based materials have been found to accelerate the sluggish kinetic reaction and are largely subject to the overall Zn‐air batteries (ZABs) property, while their full catalytic mechanism is still not excavated because of the indistinct internal structure and immature in‐situ technology. Up to now, systematic methods have been utilized to study and design promising high‐performance carbon‐based catalysts. To resolve the real active units and catalytic mechanism, developing molecular catalyst is a significant strategy. Herein, the review will initiate to briefly introduce the working principle and composition of ZABs. An important statement is correspondingly provided about the typical structure and catalytic mechanisms for the air cathode material. It also presents the tremendous endeavors on the catalytic performance and stability of carbon‐based material. Furthermore, combined with theoretical calculation, the self‐defined active sites are analyzed to understand the catalytic character, where the molecular catalyst is subsequently summarized and discussed through highlighting the unambiguous and controllable structure, in the hope of surfacing the optimum catalyst. Building on the fundamental understanding of carbon‐based and molecular catalysts, this review is expected to provide guidance and direction toward designing future mechanistic studies and ORR electrocatalysts

Longquan celadon: a quantified archaeological analysis of a pan-Indian Ocean industry of the 12th to 15th centuries

This paper examines the Longquan celadon industry, located in Zhejiang province in China, which flourished mainly between the Southern Song and early Ming dynasties (12th to 15th century). The products of this industry are found on archaeological sites from across China and the Indian Ocean. This paper attempts a quantified analysis of the development of the industry based on archaeological data, focussing on four aspects: production, domestic consumption, overseas consumption and, to a lesser degree, workshop organisation. Although much of the data is still, in many ways, problematic, and many of the conclusions drawn are necessarily tentative, it is possible to demonstrate the value and timeliness of the approach by charting the overall development of this industry and by arguing that the close integration of the four aspects examined indicates that the Longquan celadon industry was an industry of considerable economic significance across much of the Indian Ocean