Recommendation Scheme Based on Converging Properties for Contents Broadcasting

Popular videos are often clicked by a mount of users in a short period. With content recommendation, the popular contents could be broadcast to the potential users in wireless network, to save huge transmitting resource. In this paper, the contents propagation model is analyzed due to users' historical behavior, location, and the converging properties in wireless data transmission, with the users' communication log in the Chinese commercial cellular network. And a recommendation scheme is proposed to achieve high energy efficiency.Comment: 6 pages. This work is present at 2015 International Workshop on Networking Issues in Multimedia Entertainment (NIME'15

Application of microbial biofilms for the production of chemicals

Microbial biofilms have been proposed as robust, self-immobilized and self-regenerating catalysts. As a model study, this thesis provides an example for the design and operation of a catalytic biofilm process for the production of chemicals. The capacity to form single-species biofilms was evaluated for 68 strains of microorganisms to estimate the scope of biofilms for catalytic application. By changing substratum characteristics, inoculum density and nutrient availability, 66 strains (97%) demonstrated biofilm formation and 36 strains (53%) were classified as strong biofilm formers. The abundance of biofilm forming microbes demonstrates a broad potential for biofilm application in chemical production processes. With the aim to develop a biofilm process for ethylene glycol biotransformation, 62 bacterial and yeast strains were screened for ethylene glycol conversion. Pseudomonas putida JM37 displayed the highest substrate conversion rate and was selected as a potential catalyst for the production of glyoxylic acid. Based on published metabolic pathways for P. putida, tartronate semialdehyde synthase (gcl), malate synthase (glcB) and isocitrate lyase (aceA) were identified as targets for gene disruption to block the further conversion of glyoxylic acid. Single and double knockout mutants of gcl, glcB and aceA were generated by transposon and site-directed mutagenesis. Glyoxylic acid conversion was not affected by these mutations, which indicates that gcl, glcB and aceA are not essential for glyoxylic acid metabolism in P. putida JM37. As a biofilm former with good glycolic acid productivity, Pseudomonas diminuta was chosen for the evaluation of a trickle-bed biofilm reactor with structured packing. Structured packing is efficient for gas-liquid exchange in chemical catalysis. The current study is the first to employ structured packing as biofilm substratum, and an aerated continuous biofilm reactor system was designed. P. diminuta established an active biofilm and catalyzed the oxidation of ethylene glycol to glycolic acid for over two months. A steady-state productivity of up to 1.6 gl-1h-1 was achieved, with excellent process robustness and reproducibility. The results demonstrate the potential of structured packing as biofilm substratum for the production of chemicals. Implementation is recommended for whole-cell processes which require improved catalyst stability, catalyst retention for continuous operation, or efficient gas-liquid exchange

Employee-related Critical Success Factors for Utilization of Digitally-Enabled Supply Chain Management

IT embeddedness has created considerable opportunities for organizations to effectively manage and streamline their supply chain. User involvement acts as an important role in the current e-service era for supply chain management. In this article, we aim to explain the impact of leadership style and knowledge-centred processes on utilization of Digitally-Enabled SCM applications and generated value for employees. We will then discuss potential contributions and implications, and also indicate future research directions. This study is conducted from the employees’ perspective, and it will deepen a foundation for Digitally-Enabled SCM practices and learning, knowledge sharing in knowledge-centred processes as well as leadership style

CosAvatar: Consistent and Animatable Portrait Video Tuning with Text Prompt

Recently, text-guided digital portrait editing has attracted more and more attentions. However, existing methods still struggle to maintain consistency across time, expression, and view or require specific data prerequisites. To solve these challenging problems, we propose CosAvatar, a high-quality and user-friendly framework for portrait tuning. With only monocular video and text instructions as input, we can produce animatable portraits with both temporal and 3D consistency. Different from methods that directly edit in the 2D domain, we employ a dynamic NeRF-based 3D portrait representation to model both the head and torso. We alternate between editing the video frames' dataset and updating the underlying 3D portrait until the edited frames reach 3D consistency. Additionally, we integrate the semantic portrait priors to enhance the edited results, allowing precise modifications in specified semantic areas. Extensive results demonstrate that our proposed method can not only accurately edit portrait styles or local attributes based on text instructions but also support expressive animation driven by a source video.Comment: Project page: https://ustc3dv.github.io/CosAvatar