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The Effect of the Interactions of Key Opinion Leader on Brand Attitude and Purchasing Intentions
No full textIn the consumer marketplace, key opinion leaders play a critical role in influencing consumer purchasing decisions and brand attitudes. With the popularity of the internet and social media, consumers are increasingly relying on key opinion leaders for information, making them crucial to brand marketing. Past studies have shown that consumers are more likely to accept and purchase products recommended by a key opinion leader when they perceive the leader to be credible and admired. However, whether key opinion leaders are able to transfer meaning to brands and influence consumers' attitudes and purchase intentions like celebrities do, requires further research and validation.
Therefore, this study focuses on how key opinion leaders influence consumers' purchase intention. We use "key opinion leader characteristics" and "key opinion leader-brand fit" as independent variables, "consumer purchase intention" as dependent variable, "brand attitude" as mediator, "adoration of key opinion leader" and "interpersonal trust" as moderators, and hope to find out the role model of key opinion leaders' influence on purchase intention. We hope to find out the role model of key opinion leaders in influencing purchase intention.
The results show that key opinion leader characteristics and key opinion leader-brand fit are mediated by brand attitudes in influencing consumers' purchase intention, which means that consumers' attitudes towards a brand are more positive when they perceive the key opinion leader as attractive, professional and reliable, and consumers' attitudes towards a brand are more positive when they perceive that the key opinion leader's values, image, and style are in line with the brand. Consumers' attitudes towards the brand are more positive when they perceive that the key opinion leader's values, image and style are compatible with the brand. However, consumers' admiration and interpersonal trust of the key opinion leaders do not play a moderating role, indicating that they do not significantly influence consumers' attitudes towards the brand and their purchase intention.
This result suggests that brands should not only look for idol celebrities to endorse their brands, but also key opinion leaders to promote their brands in the future. They should also pay attention to whether the characteristics and image of the key opinion leaders are in line with the brand's values to ensure suitability and consistency, which in turn will help them to increase consumers' willingness to buy
YOLO-based Classification in Fungi Microscopic Images
No full textFungi, an important group of microorganisms, play a crucial role in the entire biosphere. Particularly, the genus Aspergillus, with over 900 different species, some of which are prone to causing infectious diseases in humans and animals. Therefore, accurate identification and classification of fungi are vital in the fields of medicine and pharmacy.
The dataset used in this study was provided by the Department of Pathology and Laboratory Medicine of Kaohsiung Veterans General Hospital, comprising a total of 1035 clinical-collected and web-sourced microscopic images of Aspergillus.
The dataset includes five commonly encountered and morphologically similar fungi species. Due to traditional fungi identification methods\ue2 time-consuming and subjectivityprone nature, our research aims to utilize deep learning to establish an object detection model for species images, enabling rapid and accurate predictions.
This study employed a total of ten pre-trained models from the YOLO object detection algorithm family, specifically YOLOv5-P5, YOLOv5-P6, and YOLOv7-P5.
These models encompass YOLOv5 variants (s/m/l/x), YOLOv7, and YOLOv7x. The training aims to establish object detection models for the five species of Aspergillus, namely A. flavus-oryzae, A. fumigatus, A. niger, A. terreus, and A. versicolor. Additionally, two different types of datasets were utilized: the original dataset and an augmented dataset with background images. Finally, the performance of each model was evaluated, and a comparison was made between the predictions of YOLOv5 and YOLOv7 to determine the best-performing model.
Our findings indicate that YOLOv5l6, trained on the original dataset, is the most stable model compared to others. On the other hand, YOLOv7 achieves outstanding performance during the testing phase with 91.0% precision, 94.1% recall, and 97.5% mAP@50. The mAP@50 for each species is as follows: 98.5% for A. flavus-oryzae, 97.1% for A. fumigatus, 98.8% for A. niger, 95.2% for A. terreus, and 97.9% for A.
versicolor
Electroplating copper-based bimetallic electrode (M-Cu/Ni, M = Fe, Co, Ni, Zn) on nickel foam for electrochemical denitrification and ammonia generation
No full textNitrate pollution is a common occurrence in both surface water and groundwater. Moreover, excessive nitrate concentration can cause eutrophication and present hazards to human health. The World Health Organization (WHO) has established a maximum limit of 50 mg/L for nitrate in drinking water. In comparison to conventional biological methods, electrochemical methods provide a relatively higher efficiency in fine-tuning the selectivity of nitrate reduction. Due to its high hydrogen density (121 kg-H2/m3) and superior storage stability compared to liquid hydrogen, ammonia serves as an exceptional fuel source for fuel cells. Hence, the aim of this research is to examine the retrieval of ammonia through electrochemical denitrification, employing copper-based bimetallic electrodes as a sustainable energy source.
Preliminary studies have demonstrated the exceptional reactivity of copper (Cu) in nitrate reduction. In this study, bimetallic M-Cu/Ni (M = Fe, Co, Ni, Zn) electrodes were synthesized through electrodeposition methods. The electrodeposition process and the metal ratios were critical to the electrochemical properties of the synthesized electrodes. Characterization was performed using XRD, SEM, and XPS techniques. Voltammetry analysis revealed that copper, iron, cobalt, and zinc metals undergo faradaic phase transformations at specific overpotentials, leading to an increase in the current density of nitrate reduction. In contrast, nickel electrodes induced hydrogen evolution and reduced nitrate through indirect hydrogenation. In-situ Raman spectroscopy confirmed the transition between copper oxide (CuO) and cuprous oxide (Cu2O) phases, along with the simultaneous electron transfer of nitrate at the corresponding cathode potentials. The study investigated the synergistic effect of tuning the metal ratios in bimetallic electrodes on the removal efficiency and selectivity.
Batch experiments were conducted using a constant potential mode, with parameters such as pH, potential, and initial concentration. The best electrode was a copper-iron bimetallic electrode with a Cu27Fe73 ratio. Under the potential of -1 V, the nitrate removal and ammonia selectivity reached 96%and 77%, respectively. The ammonia yield was as high as 2468.95 \uc2\ub5g h-1 mgcat-1 at a current density of 20 mA/cm2 under a constant current mode
The Influence of the Echo chamber on Political Behavior
No full text\ue3\ue3With the wide application of web 2.0 technology, the rise of social media has become a trend. In order to be closer to the daily life of the voters, political parties have invested a lot of money in social media, and these resources have influenced the political life of the voters and various major social issues. The influence of social media can be seen in famous cases such as the 2016 UK Brexit referendum and the 2016 US presidential election. These phenomena caused by social media have attracted research in the academic field, but most of the related studies in Taiwan still focus on a single social issue, and have not yet included party politics as a background to explore the impact of the stratospheric effect of social media on the public.
\ue3\ue3In view of this, this study takes the echo chamber as the theoretical basis and uses the community's perception of the consistency of friends' positions and the consistency of the community's perceived journalistic positions as the indicators to observe its impact on online political expression and offline voting, and uses democratic satisfaction as the mediating variable and party loyalty as the interfering variable in this study.
The results of the study include the following findings: First, the echo chamber effect is found to increase not only individuals' democratic satisfaction, but also their willingness to express themselves and vote online. Second, democratic satisfaction only mediates offline voting behavior, but does not mediate online political expression. Third, party loyalty has a negative moderating effect. Specifically, individuals with party preference are less likely to be satisfied with democracy and less likely to be willing to express themselves and vote online compared to the middle class of voters
Joint Optimization of Power Allocation and RIS Phase Shift for Vehicular Edge Computing Systems Using DRL
No full textThe development of intelligent vehicles is becoming increasingly com prehensive, with a gradual increase in computational capabilities of on board devices. Mobile edge computing (MEC) is a technology that of f loads user\ue2s computational tasks to nearby devices to prevent user over load. In the context of future 6G wireless communications, both MEC and reconfigurable Intelligent Surface (RIS) are considered important technologies. RIS has garnered significant attention in the 6G domain because of its ability to enhance energy efficiency and address non-line-of sight propagation challenges, thereby expanding transmission coverage. In our research, we primarily focus on offloading user\ue2s computational tasks to nearby base stations. We connect a mobile edge computing server to the base station, which performs the computation on the re ceived data and returns the results to the user. To further improve throughput, we deploy an intelligent reflecting surface between the base station and the mobile edge computing server, leveraging the control of phase shifts of individual elements in the intelligent reflecting surface.
In our setup, there are two problems that need to be addressed. The first problem involves power allocation to determine how much data should be offloaded to the base station, while the second problem focuses on optimizing the phase configuration of the intelligent reflecting surface to maximize throughput. We combine these two aspects into a single minimization problem by considering the computational cost associated with both tasks. Deep reinforcement learning has made important ad vancements in solving challenging problems. Therefore, we employ two deep reinforcement learning algorithms, namely deep deterministic pol icy gradient (DDPG) and twin delayed deep deterministic policy gradi ent (TD3), to optimize the optimization of the non-convex problem we have proposed. From simulation results, it can find that using a greater number of RIS elements enables task completion with lower power con sumption. Both algorithms successfully perform power allocation, and the comparison between the two algorithms reveals that TD3 achieves better performance by using less power for offloading tasks
A Study of Integrated Care Model for Older People - the Experience from Kaohsiung Veterans General Hospital
No full textThe proportion of elderly population in Taiwan reached 16.8% by the end of 2021, and it is estimated that by the year 2025, Taiwan will become a super-aged society with the elderly population exceeding 20%. The rapid increase in the aging population, including the super-aged population, poses significant challenges to healthcare and society. In response to the rapid aging society, the World Health Organization and countries around the world have put forward various strategies and approaches for integrated care for the elderly, aiming to delay disability, prolong healthy life expectancy, and provide dignified care. Therefore, it is urgent and necessary to propose an integrated care model suitable for the elderly. This study aims to propose a comprehensive and appropriate integrated care model by examining the current industry situation, reviewing the case of Kaohsiung Veterans General Hospital's Center for Geriatric Medicine.
By reviewing the World Health Organization's Global Decade of Healthy Aging 2021-2030 and the concept of healthy aging, and referring to Canada's Acute Care for Elders \uef\ubcACE), the United States' Age-Friendly Health Care System - 4Ms, and Japan's experience in aging society and care, this study explores various aspects, including preventive measures at the community level to delay disability, integrated care for older people \uef\ubcICOPE) assessment and comprehensive evaluation in outpatient settings, emergency department-friendly care and inpatient-friendly care practices during acute medical care, as well as post-discharge integrated transitional care services and long-term care connections. By drawing on international experiences, the study presents a literature review of the current industry situation.
In the face of a rapidly aging society, the Guidance Institute has accumulated over 30 years of experience in integrated care, establishing three Centers for Geriatric Medicine in the Veterans General Hospitals and proposing innovative integrated care models. This study takes Kaohsiung Veterans General Hospital's Center for Geriatric Medicine as an example to illustrate the role and responsibilities of a geriatric medicine center in integrated care for the elderly, as well as the proposed service model for integrated care in an aging society. The study found that the age-friendly service model can be developed from three perspectives\uef\ubc community care, acute medical care, and long-term care. This includes preventive measures to delay disability and manage multiple chronic conditions, emergency department-friendly care and inpatient-friendly care models, linking acute and chronic medical care, and establishing integrated transitional care services upon discharge. These services can effectively improve the current environment of elderly care and provide references for the development of an integrated care model for the elderly
Organizational Embeddedness and Employee Engagement: Mediating Role of Psychological Empowerment and Moderating Effect of Ethical Leadership
No full textIn the post-epidemic era, the new-generation employees have been released into the labor market, and how to retain talents has become a problem that enterprises must face. The new generation of employees pay more attention to the meaning and value of work, and pursue challenging and developmental careers. Therefore, when a company creates an organizational culture that is consistent with its employees' values, it will increase the degree of embedding of employees in the organization, empower employees to increase their sense of responsibility for their work through work autonomy, and through a leadership style with ethical values, Helps to enhance the working climate of the organization, promoting competitiveness and innovation.
This study uses a two-stage online questionnaire survey to assess the feelings of full-time employees of domestic companies on organizational embeddedness, psychological empowerment, employee engagement, and ethical leadership. In the questionnaire, we collected valid questionnaire data from 421 full-time workers, and conducted an empirical test on the research hypothesis. Using hierarchical regression analysis and the Process tool, we describe the relevant results of the hypothesized model.
The results of this study show that psychological empowerment has a mediating effect between job embeddedness and employee engagement. However, the results of the study also found that ethical leadership did not moderate the relationship between job embeddedness and psychological empowerment. Meaning that ethical leadership cannot influence the interrelationship between job embeddedness and psychological empowerment
Ge/GaAs Heterostructure TFET with Schottky Contact Drain to Suppress Ambipolar and Trap-Assisted Tunneling
No full textSemiconductor devices are undergoing constant scaling. Apart from encountering the physical limits of silicon materials, they are also contending with elevated thermal budgets. The challenge lies in effectively controlling the doping profile, as the improper management of this aspect leads to a decline in device performance. To address this predicament, we present the concept of a metal-semiconductor junction to supplant the conventional P-N junction. This innovation allows the metal-semiconductor junction to mimic comparable doping characteristics, thereby enabling the creation of various types of devices. This thesis introduces two novel designs: a homostructure Schottky contact tunneling field-effect transistor (TFET) and a Ge/GaAs heterostructure Schottky contact tunneling field-effect transistor. These designs primarily rely on line tunneling as the principal tunneling mechanism. To facilitate this, the proposed structures incorporate a significant area of overlap between the source and gate metals, promoting line tunneling aligned with the gate's electric field. The device's conduction mechanism is thoroughly examined through both electron-hole concentration diagrams and energy band diagrams. Specifically, the approach involves implementing an Ohmic contact at the source region and a Schottky contact at the drain region. This configuration results in a gate-controlled P-I-N transistor structure. In practical operation, the device is subjected to a drain bias, leading to the establishment of a gate-controlled P-I-N tunneling transistor. In the simulation experiments of the homostructure, different common semiconductor materials were compared, including III-V and IV group semiconductor materials, such as Si, Ge, InP, GaAs, and GaSb, for electrical analysis to find the most suitable semiconductor material for the device. The simulation experiments found that Ge and GaSb have a narrower energy gap, which makes it easier for carriers to tunnel and have higher ON-state currents. However, they also exhibit poorer performance in terms of leakage current and ambipolar effect compared to the commonly used silicon material. On the other hand, GaAs and InP materials have wider energy gaps compared to silicon, which effectively suppresses non-ideal currents such as leakage current and ambipolar current. The experimental results showed that when using Ge material to make the device, it can achieve the highest ION of 2.88 \uc3 10-4 A/\uce\ubcm, while when using GaAs material to make the device, it can achieve the highest ION/IOFF ratio of 3.37 \uc3 109, the lowest SSavg of 31.65 mV/dec, and the lowest IOFF of 4.95 \uc3 10-15 A/\uce\ubcm. This thesis proposes a second architecture that uses Ge as the main semiconductor material for the tunneling region. Due to the narrow bandgap of Ge, it can achieve a high ON-state current, but its leakage current is also relatively high. Therefore, the drain region utilizes the wider bandgap GaAs material, coupled with a Schottky contact. This results in a smooth modulation of the drain potential, effectively extending the tunneling distance. This approach successfully suppresses ambipolar leakage current and the TAT effect. Since the tunneling mechanism in TFETs is driven by the same mechanism as trap-assisted tunneling, TFETs are more sensitive to TAT than other devices. Therefore, by using suitable semiconductor materials, TAT can be reduced, and the negative impact on the performance of TFETs can be minimized. In the proposed heterostructure architecture, we take advantage of the fact that GaAs have smaller intrinsic defects to improve the severe impact of Ge-homostructure under trap-assisted tunneling. The device achieves an ION of 3.65 \uc3 10-4 A/\uce\ubcm, an SSavg of 23.83 mV/dec, and an ION/IOFF ratio of 1.38 \uc3 1010 at a bias voltage of VD = 0.4 V. We also conduct simulations of the device while considering the influence of defect carriers present in both the interface and bulk regions of the semiconductor and oxide layers. Our findings reveal that the existence of defect carriers in the bulk region exerts a notable influence on the device's performance, particularly when a negative gate bias is applied
Study of chemical compositions and bone vegenerative activity of cultured Briareum stechei
No full textMarine organisms are an important source of lead compounds for the development of new drugs due to their diversity and uniqueness. Previous studies have shown that briarane-type compounds have anti-inflammatory and osteoclast differentiation-inhibiting effects. To identify potential drug sources for mitigating osteoporosis and related bone loss diseases, we focused on exploring natural substances with anti-osteoporotic activity from the cultured soft coral Briareum stechei. In this study, we successfully isolated and purified a total of 45 compounds from the Dichloromethane/Methanol extract of B. stechei, including 17 new compounds such as briarenols W\ue2Z (1\ue24), briastecholides D\ue2F (5\ue27), N\ue2V (8\ue216), and 11-dehydroxybriavoil B (17), along with 28 known compounds. These compounds belong to the unique bicyclo[8.4.0] carbon framework of briarane diterpenoids, with the majority containing \uce\ub3-lactone functional groups and multiple oxidation features. The chemical structures of compounds 1\ue245 were determined through 1D and 2D NMR spectroscopic analysis and comparison with literature data, and the absolute stereochemistry of compounds 4, 8, 28, and 40 was confirmed by X-ray single-crystal diffraction. Further evaluation of the anti-osteoporotic activity of the extracted briarane compounds from B. stechei was conducted using a zebrafish model. The results demonstrated that briaranes 28 and 29 could promote normal zebrafish bone formation and reverse the bone loss induced by prednisolone (PNSL) by enhancing the bone mineralization area and the expression of related genes (sp7, runx2b, ocn, rank, opg, rankl, alp). In conclusion, compounds 28 and 29 derived from cultured soft coral B. stechei exhibit potential for the development of preventive and therapeutic drugs for osteoporosis
Political Participation Policy for Taiwan's Young Generation, Comparative Studies of KMT & DPP
No full textIn Taiwan, people at ages 18 to 40 are considered young voters. This article compares how these young voters from the two major political parties in Taiwan, namely the PPT and KMT, participate in politics.
During the time when Taiwan was under authoritative rule, the youth were banned from taking part in politics, thus leading to a great sense of political apathy among this group of voters. However, the 2014 Sunflower Student Movement marked the era when the youth started to take part in politics. Not satisfied with the government and the cross-straits relations, young people tried to arouse enthusiasm and passion for politics among the young voters under the banner of \ue2awakening,\ue2 urging them to vote to gain voice in politics. In this way, political parties changed how they viewed young people and began to value their opinions. Different policies about the rights of the youth are made, which gradually helped form a bond between the youth and political parties. After the 2020 election, the number of young people participating in politics has been increasing. Young people now take a central place in the minds of politicians, with the youth playing an important role in political parties