Contextualization: A Path to Chinese Traditional News Media's Integration Into Social Media

Meyrowitz's media context theory proposes that new media and their contexts will lead to new behaviors. This article adopts media context theory as a framework and utilizes a textual analysis approach to analyze what Meyrowitz termed middle region behaviors and the contextualization strategies of the traditional Chinese news media (People's Daily) on the social media platform Weibo. The findings reveal three of People's Daily's Weibo news' innovation strategies: the middle regionalization of news contexts (live news, vlog news, chatbox news); personalized production of important news (Weibo commentary, user-produced news); and equal dialogue with the public (daily greetings, holiday greetings, popularizing science). The study also indicates that traditional news media can utilize social media to consolidate communication effectiveness and reconstruct their credibility while actively participating in social governance. In light of these findings, we think that the "contextualization" strategies employed by People's Daily on the Weibo platform offer meaningful possibilities for traditional news organizations' integration into social media, such as exploring innovative approaches to news presentation, emphasizing audience interaction, appropriately providing "non-news content" for the audience, and maintaining a commitment to objectivity and fairness in news reporting

Design and optimization of high performance binary adders for digital signal processing.

In this thesis, recently developed concepts and circuit design techniques associated with Enhanced Multiple-Output Domino Logic (EMODL) are explored for the design of high performance dynamic carry lookahead adders (CLAs). In order to improve the area and speed of the EMODL design techniques, we investigate the trade-off between the number of cascaded gate stages and the gate fan-in of each stage by varying these factors in four different architectural structures for a 32-bit CLA. From HSPICE simulation results, which show that the number of cascaded stages is a more critical factor than the gate fan-in, a three stage 32-bit dynamic CLA is designed and fabricated in a 1.2$\mu$ CMOS technology. Both HSPICE simulation and test measurements show a critical path of 2.7ns. In comparison with a recent design reported by Hwang and Fisher, which requires five stages, our new architecture demonstrates improved area-speed performance.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1995 .W36. Source: Masters Abstracts International, Volume: 34-06, page: 2446. Adviser: G. A. Jullien. Thesis (M.A.Sc.)--University of Windsor (Canada), 1996

Technical and nutritional properties of vegetable enriched pasta utilising juice and pomace from spinach, red cabbage, beetroot and carrot : A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University

Vegetable pasta may deliver health benefits by increasing vegetable intake. Previous studies only applied one form of vegetable to pasta formula to investigate their effect. For example, Padalino, Costa, Del Nobile, and Conte (2019) used powdered glass wort (Salicornia europaea) to improve the nutritional value of pasta. In contrast, SIPOS et al. (2017) evaluated the nutritional value and sensory quality of pasta enriched with beetroot juice and beetroot puree. Few comparisons were found between different forms at the same addition level. Therefore, this study investigated the replacement of semolina with juice, puree, and pomace of spinach, red cabbage, beetroot and carrot. The effect of replacement on technical and nutritional value was evaluated. The cooking loss of pasta made with spinach juice and spinach puree at 1 % substitution was the same as the control, while all other samples showed higher cooking loss. Spinach pasta was characterised by higher breaking force but lower breaking distance in the tensile test than the control, while all other pasta had a lower breaking force and breaking distance. Spinach pasta was generally firmer than the control. Red cabbage juice pasta was less firm than other forms of fortified pasta at 1 g/100 g substitution level. Spinach, red cabbage, beetroot and carrot juice are better colourants than puree or pomace as they change the colour of the pasta more dramatically at the same substitution level. The in vitro starch digestibility test show that spinach pomace 10%, red cabbage pomace 10%, beetroot pomace 10%, carrot pomace 10%, spinach juice 1%, spinach puree 2%, and beetroot puree 4% significantly reduced the area under the curve of the in vitro starch digestion. This reduction was due to a combined effect of decreased starch content, increased dietary fibre content and inhibition of α-amylase caused by vegetable material addition. Total phenolic content (TPC) and antioxidant capacity increased significantly on raw, cooked and digested samples of vegetable-fortified pasta compared to the control. The β-carotene content of spinach and carrot pasta samples (raw, cooked, and digested) was also higher than that of the control. At the same substitution level, the juice was more efficient in improving the antioxidant capacity of resultant pasta compared to puree or pomace. Mineral contents of vegetable-fortified pasta (raw and cooked) were also higher than the control. In general, at the same lower substitution level, juice and puree-enriched pasta samples generally exhibited better technical quality than pomace-enriched ones. The study exhibits that incorporating vegetable juice or puree to produce pasta results in a superior nutritional profile with a slight compromise of technical quality

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Concepts embody the knowledge of the world and facilitate the cognitive processes of human beings. Mining concepts from web documents and constructing the corresponding taxonomy are core research problems in text understanding and support many downstream tasks such as query analysis, knowledge base construction, recommendation, and search. However, we argue that most prior studies extract formal and overly general concepts from Wikipedia or static web pages, which are not representing the user perspective. In this paper, we describe our experience of implementing and deploying ConcepT in Tencent QQ Browser. It discovers user-centered concepts at the right granularity conforming to user interests, by mining a large amount of user queries and interactive search click logs. The extracted concepts have the proper granularity, are consistent with user language styles and are dynamically updated. We further present our techniques to tag documents with user-centered concepts and to construct a topic-concept-instance taxonomy, which has helped to improve search as well as news feeds recommendation in Tencent QQ Browser. We performed extensive offline evaluation to demonstrate that our approach could extract concepts of higher quality compared to several other existing methods. Our system has been deployed in Tencent QQ Browser. Results from online A/B testing involving a large number of real users suggest that the Impression Efficiency of feeds users increased by 6.01% after incorporating the user-centered concepts into the recommendation framework of Tencent QQ Browser.Comment: Accepted by KDD 201

A KINEMATIC ANALYSIS OF ROUND KICK IN TAEKWONDO

The purpose of this study is to provide kinematic analysis of the round kick in Taekwondo. The round kick is an important component required in the performance of Taekwondo. In order to accomplish this skill, it is necessary to accelerate the movement of the leg to a high velocity. In order to determine the mechanism involved in this maneuver, kinematic analysis of the motion will be used. This study analyzed the round kick motion through application of the 3D-video analysis system. The data determined that the muscles of the thigh initiate the round kick, transmitting force from the hip, through to the shank and finally to the foot. Before kicking the target, the knee-joint flexes to increase the velocity of leg and then the lower limbs extend. These are the requirements for a rapid and powerful kick

RESEARCH ON QUANTIFICATION OF HAZOP DEVIATION BASED ON A DYNAMIC SIMULATION AND NEURAL NETWORK

Hazard and operability (HAZOP) analysis has become more significant as the complexity of process technology has increased. However, traditional HAZOP analysis has limitations in quantifying the deviations. This work introduces artificial neural networks (ANNs) and Aspen HYSYS to explore the feasibility of HAZOP deviation quantification. With the proposed HAZOP automatic hazard analyzer (HAZOP-AHA) method, the conventional HAZOP analysis of the target process is first carried out. Second, the HYSYS dynamic model of the relevant process is established to reflect the influence of process parameters on target parameters. Third, to solve the problem of deviation identification based on multi-attribute and a large dataset, we use the ANN to process the input data. Finally, HAZOP deviation can be quantified and predicted. The method is verified by the industrial alkylation of benzene with propene to cumene. The results show that the predicted deviation severity can be close to the actual deviation severity, and the accuracy of prediction can reach nearly 100%. Thus, the method can diminish the probability of conflagration, burst, and liquid leakage

The U(1)Lμ−LτU(1)_{L_\mu-L_\tau} breaking phase transition, muon g−2g-2, dark matter, collider and gravitational wave

Combining the dark matter and muon $g-2$ anomaly, we study the $U(1)_{L_\mu-L_\tau}$ breaking phase transition, gravitational wave spectra, and the direct detection at the LHC in an extra $U(1)_{L_\mu-L_\tau}$ gauge symmetry extension of the standard model. The new fields includes vector-like leptons ($E_1,~ E_2,~ N$), $U(1)_{L_\mu-L_\tau}$ breaking scalar $S$ and gauge boson $Z'$, as well as the dark matter candidate $X_I$ and its heavy partner $X_R$. A joint explanation of the dark matter relic density and muon $g-2$ anomaly excludes the region where both $min(m_{E_1},m_{E_2},m_N,m_{X_R})$ and $min(m_{Z'},m_S)$ are much larger than $m_{X_I}$. In the parameter space accommodating the DM relic density and muon $g-2$ anomaly, the model can achieve a first order $U(1)_{L_\mu-L_\tau}$ breaking phase transition, whose strength is sensitive to the parameters of Higgs potential. The corresponding gravitational wave spectra can reach the sensitivity of U-DECIGO. In addition, the direct searches at the LHC impose stringent bound on the mass spectra of the vector-like leptons and dark matter.Comment: 21 pages, 4 figures, 2 table

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

While modern biotechnologies allow synthesizing new proteins and function measurements at scale, efficiently exploring a protein sequence space and engineering it remains a daunting task due to the vast sequence space of any given protein. Protein engineering is typically conducted through an iterative process of adding mutations to the wild-type or lead sequences, recombination of mutations, and running new rounds of screening. To enhance the efficiency of such a process, we propose a tree search-based bandit learning method, which expands a tree starting from the initial sequence with the guidance of a bandit machine learning model. Under simplified assumptions and a Gaussian Process prior, we provide theoretical analysis and a Bayesian regret bound, demonstrating that the combination of local search and bandit learning method can efficiently discover a near-optimal design. The full algorithm is compatible with a suite of randomized tree search heuristics, machine learning models, pre-trained embeddings, and bandit techniques. We test various instances of the algorithm across benchmark protein datasets using simulated screens. Experiment results demonstrate that the algorithm is both sample-efficient and able to find top designs using reasonably small mutation counts.Comment: AAAI 202