INVESTIGATING THE INFLUENCE OF AUTHORITARIAN LEADERSHIP AND SUPERVISOR SATISFACTION ON TURNOVER INTENTION: THE MODERATING ROLE OF EMPLOYEE UPBRINGING

Authoritarian leadership is prevalent in the Asian region, and previous research has found a positive correlation between authoritarian leadership and employees' intention to leave their jobs. However, there are employees in the workplace who can adapt to such supervisors. Therefore, we approach this study from the perspective of "fit theory" to explore whether employees with authoritarian family upbringing can match with authoritarian leadership. This study aims to investigate the impact of authoritarian leadership on employees' intention to leave, with supervisor satisfaction as the mediator and employees' authoritarian family upbringing as the moderator. A total of 232 valid questionnaires were collected in this study. The results revealed that the level of authoritarian family upbringing among employees has a moderating effect on the relationship between authoritarian leadership and supervisor satisfaction

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

Resonant enhancement of photoluminescence from dye molecules in lithium niobate substrate using photoinduced silver deposition with concentration dependence

This work fabricates a plasmonic lithium niobate substrate with metal nanoparticles (MNPs) to enhance electromagnetic field interaction and diminish lifetime with concentration dependence. The enhanced photoluminescence (PL) from dye molecules in lithium niobate substrate and shortened lifetimes associate with plasmon resonance arising from the metal nanoparticles (MNPs) layers. We experimentally and numerically verified that the surface plasmon coupling between MNPs potentially influences PL reactions. The remarkable enhanced PL of deposited MNPs substrate can be achieved by increasing absorption. The fabricated structure can help tune the surface-enhanced electromagnetic field. The Raman signal of rhodamine 6G dye and PL intensity of DCJTB (4-(dicyanomethylene)-2-t-butyl-6-(1,1,7,7-tetramethyljulolidyl-9-enyl)-4H-pyran) molecules in the fabricated substrate are enhanced 13 times and 10.26 times compared to untreated. Besides, the lifetime is reduced by 22.63%. This work is a perspective method for designing a PL-active lithium niobate substrate using photoinduced metal deposition with concentration dependence

Deep-Learning-Based Defective Bean Inspection with GAN-Structured Automated Labeled Data Augmentation in Coffee Industry

In the production process from green beans to coffee bean packages, the defective bean removal (or in short, defect removal) is one of most labor-consuming stages, and many companies investigate the automation of this stage for minimizing human efforts. In this paper, we propose a deep-learning-based defective bean inspection scheme (DL-DBIS), together with a GAN (generative-adversarial network)-structured automated labeled data augmentation method (GALDAM) for enhancing the proposed scheme, so that the automation degree of bean removal with robotic arms can be further improved for coffee industries. The proposed scheme is aimed at providing an effective model to a deep-learning-based object detection module for accurately identifying defects among dense beans. The proposed GALDAM can be used to greatly reduce labor costs, since the data labeling is the most labor-intensive work in this sort of solutions. Our proposed scheme brings two main impacts to intelligent agriculture. First, our proposed scheme is can be easily adopted by industries as human effort in labeling coffee beans are minimized. The users can easily customize their own defective bean model without spending a great amount of time on labeling small and dense objects. Second, our scheme can inspect all classes of defective beans categorized by the SCAA (Specialty Coffee Association of America) at the same time and can be easily extended if more classes of defective beans are added. These two advantages increase the degree of automation in the coffee industry. The prototype of the proposed scheme was developed for studying integrated tests. Testing results of a case study reveal that the proposed scheme can efficiently and effectively generate models for identifying defective beans with accuracy and precision values up to 80 %

Planting Rice on the Roof of the UN Building: Analyzing Taiwan’s Chinese Techniques in Africa, 1961-present

[[abstract]]This article studies the development of the Republic of China’s (Taiwan) agricultural aid projects to Africa from the 1960s to the present. Beginning with the Vanguard Project in 1961, Taiwan has sought to exchange its intensive rice cultivation techniques for international political recognition. The article looks at a variety of successful and failed assistance endeavours and analyses the motivation and processes behind this development assistance in the context of diverse African farming environments. Instead of insisting on its intensive farming culture, Taiwan has developed a sustainable aid mentality and now uses a hybrid approach that utilizes its cultivation expertise to complement the farming endowments of aid recipients.[[incitationindex]]SSCI[[booktype]]紙

Identification of Up- and Down-Regulated Proteins in Pemetrexed-Resistant Human Lung Adenocarcinoma: Flavin Reductase and Calreticulin Play Key Roles in the Development of Pemetrexed-Associated Resistance

Drug resistance is one of the major causes of cancer chemotherapy failure. In the current study, we used a pair of lung adenocarcinoma cell lines, A549 and the pemetrexed-resistant A549/PEM cells, as a model to monitor resistance-dependent cellular responses and identify potential therapeutic targets. By means of 2D differential gel electrophoresis (2D-DIGE) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), we investigated the global protein expression alterations induced by pemetrexed treatment and resistance. The proteomic result revealed that pemetrexed exposure obviously altered the expression of 81 proteins in the A549 cells, whereas no significant response was observed in the similarly treated A549/PEM cells, hence implying an association between these proteins and the drug-specific response. Moreover, 72 proteins including flavin reductase and calreticulin demonstrated differential expression between the A549 and A549/PEM cells, indicating baseline resistance. Additional tests employed siRNA silencing, protein overexpression, cell viability analysis, and analysis of apoptosis to examine and confirm the potency of flavin reductase and calreticulin proteins in the development of pemetrexed resistance. In summary, by using a proteomic approach, we identified numerous proteins, including flavin reductase and calreticulin, involved in pemetrexed drug resistance-developing mechanisms. Our results provide useful diagnostic markers and therapeutic candidates for pemetrexed-resistant lung cancer treatment