Effects of McDonalds on younger Chinese generation's lives

In 1990, when McDonalds was first introduced to China, fast food restaurants from western countries were not widely accepted in China. In fact, many Chinese had never heard about the typical menu such as French fries and hamburgers that were offered in fast food restaurants. Businessmen were also curious about McDonald's management mode

Investigating the Role of Intermediary Organizations in University Autonomy from Management Perspective: Case Studies in the EHEA

This study employed qualitative multiple case study methodology to exam how the two well-known intermediary organizations from different European higher education settings advocate university autonomy by exploring the main difficulties they face as well as the actions in countering the difficulties. Data were collected through semi-structured interviews with purposefully selected employees from the two case organizations, and through website analysis as well as review of the relevant documents, striving to present solid evidences to support the findings. Thematic analysis of data resulted in the generation of the four major themes from the massive information collected through the multiple data collection tools, which altogether answered all the research questions posed at the beginning, additionally, the matters related to the concept of university autonomy were also addressed. One major finding of the study is that the two organizations, though practicing in different levels of the European higher education settings, both working for university autonomy with the exclusive focus on strengthening the institutional leadership, regardless of the autonomy of individuals in the university. A second major finding pointed to the various sources of the difficulties the two organizations receive in relation to the advocacy of university autonomy. Though the difficulties were distinct in either substance or the degree to the two organizations, an amicable solution of friendly communication and active negotiation were adopted to triumph over those moments. At last, the paper concludes with critical examination of the study along with along with implications for practical issues, academic communities and possible suggestions for future research

Modulation of CXCR4, CXCL12, and Tumor Cell Invasion Potential In Vitro by Phytochemicals.

CXCR4 is a chemokine receptor frequently overexpressed on primary tumor cells. Organs to which these cancers metastasize secrete CXCL12, the unique ligand for CXCR4, which stimulates invasion and metastasis to these sites. Similar to our previous work with the chemoprotective phytochemical, 3,3'-diindolylmethane (DIM), we show here that genistein also downregulates CXCR4 and CXCL12 and subsequently lowers the migratory and invasive potentials of breast and ovarian cancer cells. Moreover, genistein and DIM elicit a significantly greater cumulative effect in lowering CXCR4 and CXCL12 levels than either compound alone. Our data suggest a novel mechanism for the protective effects of phytochemicals against cancer progression and indicate that in combination, these compounds may prove even more efficacious

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking

Chinese geographic re-ranking task aims to find the most relevant addresses among retrieved candidates, which is crucial for location-related services such as navigation maps. Unlike the general sentences, geographic contexts are closely intertwined with geographical concepts, from general spans (e.g., province) to specific spans (e.g., road). Given this feature, we propose an innovative framework, namely Geo-Encoder, to more effectively integrate Chinese geographical semantics into re-ranking pipelines. Our methodology begins by employing off-the-shelf tools to associate text with geographical spans, treating them as chunking units. Then, we present a multi-task learning module to simultaneously acquire an effective attention matrix that determines chunk contributions to extra semantic representations. Furthermore, we put forth an asynchronous update mechanism for the proposed addition task, aiming to guide the model capable of effectively focusing on specific chunks. Experiments on two distinct Chinese geographic re-ranking datasets, show that the Geo-Encoder achieves significant improvements when compared to state-of-the-art baselines. Notably, it leads to a substantial improvement in the Hit@1 score of MGEO-BERT, increasing it by 6.22% from 62.76 to 68.98 on the GeoTES dataset

Named Entity Recognition Based on Multi-scale Attention

The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly. Recognizing nested semantics becomes a difficulty in natural language processing. Previous studies have single scale of extracting feature and under-utilization of the boundary information. They ignore many details under different scales and then lead to the situation of entity recognition error or omission. Aiming at the above problems, a multi-scale attention method for named entity recognition (MSA-NER) is proposed. Firstly, the BERT model is used to obtain representation vector containing context information, and then the BiLSTM network is used to strengthen the context representation of text. Secondly, the representation vectors are enumerated and concatenated to form span information matrix. The direction information is fused to obtain richer interactive information. Thirdly, multi-head attention is used to construct multiple subspaces. Two-dimensional convolution is used to optionally aggregate text information at different scales in each subspace, so as to implement multi-scale feature fusion in each attention layer. Finally, the fused matrix is used for span classification to identify named entities. Experimental results show that the [F1] score of the proposed method reaches 81.7% and 86.8% on GENIA and ACE2005 English datasets, respectively. The proposed method demonstrates better recognition performance compared with existing mainstream models

Simulation of chemical reaction dynamics on an NMR quantum computer

Quantum simulation can beat current classical computers with minimally a few tens of qubits and will likely become the first practical use of a quantum computer. One promising application of quantum simulation is to attack challenging quantum chemistry problems. Here we report an experimental demonstration that a small nuclear-magnetic-resonance (NMR) quantum computer is already able to simulate the dynamics of a prototype chemical reaction. The experimental results agree well with classical simulations. We conclude that the quantum simulation of chemical reaction dynamics not computable on current classical computers is feasible in the near future.Comment: 37 pages, 7 figure

The Indoor Thermal Environment Simulation and Testing Validation of a Power Plant Turbine Room in Extreme Cold Area

AbstractThis paper conducts an analysis study on indoor thermal environment of a steam turbine room in power plant by CFD. Refer to a typical steam turbine room in an actual thermal power plant which has been conducted field test, the typical numerical simulation model is built including a reasonable indoor heat conditions, structural parameters and envelope architectural opening, flow boundary conditions. Indoor air temperature distribution and air velocity distribution of steam turbine room is obtained. Comparing the simulation results with the corresponding field measurement data on typical location show that two sets of results are very close. So accuracy and applicability of CFD simulations is proved. It is also proved that complete method for CFD simulations of the paper is appropriate for interior thermal environment study of typical steam turbine room and thus laid the foundation for the further studies of a large number of universal cases