Gap between hospitality employers\u27 demands and hospitality students\u27 perceptions regarding entry-level managers\u27 requirements in the United States

This study aims to identify the gap between recruiters and students regarding what knowledge, skills and abilities are most needed for graduates to secure entry-level managers in the hospitality industry. Previous literature used different approaches to attain a similar idea that students and recruiters do have different opinions, especially for those intrinsic or person-related characteristics. The researcher borrowed statements from different researchers and added two statements to make up the missing part of previous research and then combined, split and revised these statements to see whether students\u27 thinking matched the industry\u27s thinking. The results showed that recruiters generally ranked these statements higher than students did, especially when it came to ethical issues. Students tend to rank relocation and relevant working experience more highly than recruiters do. Moreover, the study demonstrated that students from other university hospitality programs have similar perceptions regarding entry-level managers\u27 requirement with Purdue hospitality program students. Furthermore, gender issues among students are subtle. However, freshmen students tend to rank all statements higher than sophomore, junior, or senior students do. To narrow the gap, internships might offer an effective means as long as they are continual, applicable, and rewarding. Case studies, field trips, and guest speakers serve as the bridges to industry. Educators should utilize curriculum closely bound to global trends so that students have a broader perspective

A Core-schema-Based Semantic Analysis of Chinese Verb "qu": Exploring the possibility of lexical teaching with intercultural understanding

溝上他 (2009) は，あらゆる言語はその言語の話者の精神生活や文化の投影であり，異なる言語文化における｢ことばの意味｣は新たな発想や異なった思考世界の捉え方の存在を実感する文化的気づさを提供してくれると指摘している。この点を踏まえ本稿は，異文化理解を射程に入れた語嚢指導の可能性を探ることを目的としたものである。具体的には中国語の基本動詞｢取 (qu)｣を事例として，日本語の対訳では捉え難い｢取 (qu)｣で表現される意味世界は，どのようなまとまりとして捉えられるかを探った。考察の結果から，｢取 (qu)｣の意味世界は，日本語の｢取る｣とは異なり，｢必ず対象を主体側に移せるところ（移動元）から対象を利用／活用するために主体側に移すこと｣という共通の意味を有しているまとまりとして捉えられることを指摘した

Switchable metamaterial reflector/absorber for different polarized electromagnetic waves

We demonstrate a controllable electromagnetic wave reflector/absorber for different polarizations with metamaterial involving electromagnetic resonant structures coupled with diodes. Through biasing at different voltages to turn ON and OFF the diodes, we are able to switch the structure between nearly total reflection and total absorption of a particularly polarized incident wave. By arranging orthogonally orientated resonant cells, the metamaterial can react to different polarized waves by selectively biasing the corresponding diodes. Both numerical simulations and microwave measurements have verified the performance.Comment: 11 pages, 4 figure

Artificial Intelligence-Generated Terahertz Multi-Resonant Metasurfaces via Improved Transformer and CGAN Neural Networks

It is well known that the inverse design of terahertz (THz) multi-resonant graphene metasurfaces by using traditional deep neural networks (DNNs) has limited generalization ability. In this paper, we propose improved Transformer and conditional generative adversarial neural networks (CGAN) for the inverse design of graphene metasurfaces based upon THz multi-resonant absorption spectra. The improved Transformer can obtain higher accuracy and generalization performance in the StoV (Spectrum to Vector) design compared to traditional multilayer perceptron (MLP) neural networks, while the StoI (Spectrum to Image) design achieved through CGAN can provide more comprehensive information and higher accuracy than the StoV design obtained by MLP. Moreover, the improved CGAN can achieve the inverse design of graphene metasurface images directly from the desired multi-resonant absorption spectra. It is turned out that this work can finish facilitating the design process of artificial intelligence-generated metasurfaces (AIGM), and even provide a useful guide for developing complex THz metasurfaces based on 2D materials using generative neural networks

Job demands–resources:a gender perspective on employee well-being and resilience in retail stores in China

Organisational resilience can be promoted through human resource management (HRM) practices that enhance individual employees’ well-being and ability to cope with adversity. However, the extant literature tends to neglect the influence of gender on employee well-being and resilience. Shop floor employees in retail stores often undertake demanding roles, characterised by considerable pressure and low pay, and attendant high levels of employee turnover. Drawing on the job demands–resources model, by analysing data collected from 697 employees at foreign-invested retail stores in China, this paper found that workload and employee participation in decision-making had a similar impact on the well-being of both male and female employees. However, the impact of job security and emotional demands on employees differed by gender. This paper extends the job demands–resources model by articulating the influence of gender on employee well-being. Additionally, its empirical insights, drawn from an emerging economy context, enable a contribution to the literature on employee well-being and resilience. Relevant implications for HRM and resilience are discussed

Discovery of Small Molecule Inhibitors of Protein-Protein Interactions

Protein-protein interactions (PPIs) constitute an emerging class of targets for the next generation of therapeutic intervention. Despite their fundamental role in many biological processes and diseases such as cancer, PPIs are still largely underrepresented in drug discovery. Although small molecule PPI inhibitors are highly valuable due to a number of advantages relative to biological agents in terms of production, delivery, titratability and cost, the robust discovery of lead compounds remains a great challenge. Two structure-based drug discovery strategies are described in this work to generate small molecules to target PPIs. A receptor-based drug discovery approach can be applied when an accurate three-dimensional (3D) structure of a specific PPI complex is available. A novel, complementary and transformative approach for the rational design of small molecule inhibitors based on the crystal structure of the p53-Mdm2 complex was developed. This method is based on a tight interplay of structural biology information, the “anchor” concept, efficient chemical synthesis via multicomponent reactions (MCRs), as well as virtual and real screening processes. Applying the method we efficiently discovered several new scaffolds of inhibitors of the p53/Mdm2 interaction with lower micromolar affinity binding to Mdm2, which can serve as starting point for medicinal chemistry optimization. Advantages of our approach include high hit rates and less attrition based on the parallel discovery of multiple scaffolds, built-in optimization pathways using efficient MCRs, and fast generation of potential lead compounds. Potential anticancer drug candidates were identified by biochemical assays, co-crystallization, cell based assays, as well as further preclinical evaluations (solubility, metabolism, pharmacokinetics, and xenograft studies). A ligand-based drug discovery approach was explored since PPIs are critically dependent on “anchor” residues, which can serve as the pharmacophore model for small molecules. Multicomponent reactions were employed for design of novel scaffolds and DOS of drug-like compounds, since hit identification of PPI inhibitors via traditional approaches such as high throughput screening (HTS) is fundamentally limited by chemotypes present in the library collections. Novel and diverse scaffolds based on the privileged structures (1,4-benzodiazepines, 1,4-thienodiazepines) and “anchor” residues, which can be accessible from multicomponent reactions, were designed and synthesized. Compared with conventional methods, these approaches are advantageous to generate small molecules targeting PPIs in terms of efficiency, diversity, and economy. In summary, the approaches described in this dissertation constitute important contributions to the fields of medicinal chemistry and structure-based drug discovery, which combine structural insights and ligand design to expedite the discovery of novel small molecule inhibitors of PPIs