Relevant Personnel Research Articles

Technological Innovation in the Financial Services Industry

With the rapid development of global network platforms and science and technology, some emerging financial technologies (Fintech) have been applied to commercial activities and promoted the development and evolution of business models to a certain extent. However, the problems exposed at the same time have not received full attention. Based on the application examples of financial technology (e.g., online payment, peer-to-peer lending, robo-advisor, and blockchain) collected this year and the comments of some authoritative persons, this paper will objectively analyze financial technology from the aspects of current situation, development potential, risks and limitations. The study found that although the lack of financial technology has significant advantages in business activities, its risks and limitations are also a major challenge to the future development of financial technology in a period of rapid development. Relevant technical personnel are needed, and the cooperation between enterprises and the government is the healthy and sound development of financial technology.

Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-driven Activity-based Costing.

Previsit decision aids (DAs) have promising outcomes in improving decisional quality, however, the cost to deploy a DA is not well defined, presenting a possible barrier to health system adoption. We aimed to define the cost from a health system perspective of delivery of a DA. Observational cohort. We interviewed or observed relevant personnel at 3 institutions with implemented DA distribution programs targeting men with prostate cancer. We then created process maps for DA delivery based on interview data. Cost determination was performed utilizing time-driven activity-based costing. Clinic visit length was measured on a subset of patients. Decisional quality measures were collected after the clinic visit. Total process time (minutes) for DA delivery was 10.14 (UCLA), 68 (Olive View-UCLA), and 25 (Vanderbilt). Total average costs (USD) per patient were $38.32 (UCLA), $59.96 (Olive View-UCLA), and $42.38 (Vanderbilt), respectively. Labor costs were the largest contributors to the cost of DA delivery. Variance analyses confirmed the cost efficiency of electronic health record (EHR) integration. We noted a shortening of clinic visit length when the DA was used, with high levels of decision quality. Time-driven activity-based costing is an effective approach to determining true inclusive costs of service delivery while also elucidating opportunities for cost containment. The absolute cost of delivering a DA to men with prostate cancer in various settings is much lower than the system costs of the treatments they consider. EHR integration streamlines DA delivery efficiency and results in substantial cost savings.

Study of Intelligent Innovation Path for Distance Learning of Piano Performance Majors from the Perspective of Big Data

As a cutting-edge technology in contemporary times, big data technology has brought new vitality into the field of distance learning of the piano performance. Its enormous potential and value are reflected in the optimization and improvement of existing distance learning models. Through big data technology, the piano performance education can achieve personalized learning and accurately connect with the unique needs and learning characteristics of different students. In addition, in the piano performance education model, teachers can conduct targeted teaching based on the actual situation of students, making teaching differentiation be possible and improving teaching effectiveness. The big data technology also helps to improve the quality of the teaching team and enhance the teaching level and professional competence of teachers. To ensure that the distance learning of the piano performance truly enters the era of intelligence, it is necessary to actively cultivate the big data awareness of relevant personnel, build a diversified and professional teaching team, and build an intelligent learning platform.

Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy.

Neonatal hypoxic ischemic encephalopathy is a common disease, which is caused by fetal hypoxia, asphyxia, and other reasons. It may cause sequelae of the nervous system and even death in children. Computer tomography examination can clarify the scope and location of the disease and provide the basis for clinical treatment and prognosis. Relevant personnel analyzed the symptoms of ischemic hypoxia and found that ischemia and hypoxia were the main causes of encephalopathy. Neonatal ischemia and hypoxia are easy to cause serious damage. At present, with the development of medicine, the function of the human brain is the most important issue in natural science. The law of neural activity and the role of molecular cells, organs, and systems have fundamental construction significance for the prevention and treatment of nerve and mental diseases. By analyzing the value of the diagnosis of neonatal hypoxic-ischemic encephalopathy in the analysis of experimental data, by setting the newborns in the controlled group and the trial group as experimental subjects, this paper analyzed the situation of newborns in terms of body temperature, body weight, and respiratory rate, and used Apgar score to score these standards. It was found that the score of the controlled group was 7 and above, and the score of the trial group was below 7. It was found that the Apgar scoring method was more simple. Then, the newborns were analyzed by cord blood gas analysis. It was found that most of the data in the control group were between 7.8 and 8.4, and the data in the trial group were between 5.8 and 7.1. The umbilical blood gas analysis score of the experimental group was lower than that of the control group. By comparing the satisfaction of cord blood gas analysis and the Apgar score, it was found that the satisfaction of cord blood gas analysis was 24.06% higher than that of the Apgar score.

Research on Highway Bridge Inspection

Highway bridges are important transportation infrastructures in our country, and their quality is related to people's vital interests. Highway bridge detection, identification and test are the main means to evaluate the quality of highway bridges. Through the comprehensive application of various technologies, various quality problems of highway bridges can be found early, thereby ensuring traffic safety. This paper summarizes the role of highway bridge detection and test, summarizes the main content of highway bridge detection and test, analyzes and studies the problems and solutions in highway bridge detection and test, and lists examples to summarize experience, hoping to provide reference for relevant personnel.

Analysis of the Management Measures After the Issuance of National Grants in Higher Vocational Colleges

The national grants are a subsidy policy implemented by the government to help students with financial issues to complete their studies. It can promote the healthy development of China’s education and cultivate a large number of outstanding talents for the country. In specific practice, some higher vocational colleges did not take effective management measures after distributing the national grant, which prevented the national grant from playing its due role. Based on this,this article summarizes the problems in the management of higher vocational colleges after the issuance of national grants,explores effective management measures, and lists examples to summarize management experience, so as to provide guidelines for relevant personnel.

Construction information security management system based on data sharing algorithm

Due to the lack of data security protection, a large number of malicious information leaks, which makes building information security (InfoSec) issues more and more attention. The construction information involves a large number of participants, and the number of construction project files is huge, leading to a huge amount of information. However, traditional network security information protection software is mostly passive, which is difficult to enhance its autonomy. Therefore, this text introduced data sharing algorithm in building InfoSec management. This text proposed an Attribute Based Encryption (ABE) algorithm based on data sharing, which is simple in calculation and strong in encrypting attributes. This algorithm was added to the building InfoSec management system (ISMS) designed in this text, which not only reduces the burden of relevant personnel, but also has flexible control and high security. The experimental results showed that when 10 users logged in to the system, the stability and security of the system designed in this text were 87% and 91% respectively. When 20 users logged in to the system, the system stability and security designed in this text were 89% and 92% respectively. When 80 users logged in to the system, the system stability and security designed in this text were 94% and 95% respectively. It can be found that the stability and security of the system have reached a high level, which can ensure the security of effective management of building information.

Research on Optimization Strategies of Employee Performance Management in K Engineering Company

This article takes employees of K Engineering Company in Guizhou Province as the research object, and uses literature research, interview, and questioning methods The questionnaire survey method and empirical research method are used to analyze the current implementation status of performance management in K Engineering Company, identify the main problems in its performance management, and finally propose specific and feasible optimization plans for the identified problems. This article adopts data from a questionnaire survey conducted on employees of K Engineering Company, and through empirical analysis of the company's strategic policies and development goals, it is found that there are several problems in the performance evaluation of K Engineering Company employees, such as unreasonable setting of evaluation indicators during the performance goal setting stage, and inconsistency between performance management and job positions; In the performance monitoring and coaching stage, there are problems with a single performance monitoring method and a mere formality in performance coaching; In the execution stage of performance appraisal, there are problems such as ineffective performance appraisal methods, unfair company performance appraisal, and low participation of company performance appraisal employees; In the feedback stage of performance application, there are issues such as the lack of established performance communication and feedback channels, the insignificant incentive effect of employee performance management, and low satisfaction with the application of employee performance evaluation results. Analyze the reasons for the problems in employee performance management of K Engineering Company, propose an optimization plan for performance evaluation of relevant personnel, and optimize performance evaluation indicators, content, cycle, feedback and application of performance results, I hope that the research in this article can provide assistance to K Engineering Company in terms of performance management system, and can provide guidance for K Engineering Company Contribute to high-quality development.

A global bibliometric and visualized analysis of the status and trends of bone metastasis in breast cancer research from 2002 to 2021

Bone metastasis of breast cancer considerably reduces not only overall survival but also health-related quality of life due to pain, fatigue, and skeletal-related events. Objective: This study aims to analyze the research hotspots and trends of global research on bone metastasis of breast cancer in the past 20 years to provide a reference for relevant personnel in this field to carry out academic research. Methods: The literature related to bone metastasis of breast cancer from 2002 to 2021 was retrieved from the Web of Science. The bibliometric research method and VOSviewer and CiteSpace were used to analyze the publications, and the research status and development direction in the last 20 years were visualized. Results: A total of 7381 articles were included. The number of global publications is increasing every year. The United States contributes the most to global research, with the most citations and the highest H-index. The journal Cancer Research published the most articles on this issue. “Macrophage” and “skeletal related event” will receive more attention and be the next popular hotspot in the future. Conclusion: There will be an increasing number of publications on bone metastasis of breast cancer based on current global trends. The United States made the largest contribution to this field. More focus will be placed on the mechanisms of metastasis research, which may be the next popular topic in bone metastasis of breast cancer.

A Lightweight YOLOv5 Real-time Mask-wearing Detection Algorithm for the Post-pandemic Era

Since the outbreak of the COVID-19 pandemic, standardized mask-wearing has become a powerful measure to combat the epidemic. Although the epidemic has been brought under control, vigilance in densely populated areas remains essential. Manual supervision is not only inefficient but also increases the risk of infection among relevant personnel. As a result, this paper proposes a lightweight real-time mask-wearing detection algorithm to monitor mask-wearing in crowds in real time. Built upon the YOLOv5 framework, the proposed algorithm replaces the backbone feature extraction network of the original model with an improved EfficientNetV2, reducing the model's parameter count and enhancing accuracy. The introduction of the ECA module in place of the SE module in the EfficientNetV2 network, coupled with the substitution of DIoU-NMS for the weighted NMS in the original model, further reduces model parameters and improves convergence. Additionally, this approach enhances the detection of occluded objects. Experimental results based on a publicly collected mask dataset demonstrate that the proposed algorithm reduces the model's parameter count by 44.7%, achieves a mAP of 95.3%, and attains an inference speed of 270.3 FPS. The algorithm introduced in this paper effectively identifies whether individuals are wearing masks correctly. Its lightweight nature makes it suitable for deployment on resource-constrained mobile devices, aligning well with post-pandemic epidemic prevention and control efforts in the era to come.

Development of Two Korean IACUC Guidance Documents to Foster Implementation of the Three Rs.

In Korea, Institutional Animal Care and Use Committees (IACUCs) have been legally required to apply the Three Rs principles (i.e. replacement, reduction and refinement) and undertake the ethical review of animal study protocols, since 2008. According to Korean law, each IACUC is required to appoint at least one lay member recommended by a non-governmental animal protection organisation, who participates in the ethical review process as part of this role. Despite the importance of the Three Rs and the ethical review process, limited information and practical resources are available for IACUC members in the Korean language, particularly for lay members who are inexperienced in animal experimentation. In January 2020, the Animal and Plant Quarantine Agency announced the funding for a six-month research project to develop guidance to assist IACUC members in carrying out effective and efficient protocol reviews in line with Korean legislative requirements. This funding was awarded for the production of two IACUC guidance documents - 'Guide for Animal Study Protocols' and 'Guide for the IACUC Lay Member' - which were published in December 2020. These guidance documents aim to foster the implementation of the Three Rs and provide practical resources for IACUC members, researchers and other relevant personnel. This paper describes the framework for animal use in Korea and the overall production of these two IACUC Guidance Documents.

Research on the Construction of Faculty for the Deep Integration of Artificial Intelligence and Education in the Context of New Liberal Arts

In the context of the reform of university education and teaching, the key link and important guarantee of the faculty construction among them. The article specifically combines the current background of the construction of new liberal arts and the real environment of the deep integration of artificial intelligence and education, analyzes the current situation of faculty construction, identifies the dilemmas in its construction, and proposes construction strategies, hoping to provide some reference and reference for relevant personnel.

Provision or limitation? Digital technology experiences of students with disabilities at the University of Dhaka

As digital technology is becoming an integral part of education systems, there are substantial risks of a digital divide among the students reaching beyond the divide influenced by different socio-economic backgrounds. Despite there being constitutionally endorsed equality for all Bangladeshis, students with disability often face difficulties in accessing their fundamental human rights, including education. Notwithstanding the nationwide aim for inclusive education throughout, very few students with disability can achieve even limited success, which prompts questions about the system, the process and the provisions. With the qualitative methodology at the core to capture and analyse detailed data in depth and with sufficient trustworthiness, this paper investigated the institutional provisions of technology available for students with disabilities at the University of Dhaka. It particularly focuses on the provisions of digital technology support services of the university and the perceived impact of those provisions on the living and learning of students with disabilities. This study used a multiple case study approach for generating data using semi-structured interviews and FGD. A deductive thematic analysis approach was used for data analysis. The findings systematically indicate that, in most cases, the underdeveloped provision of services is not a result of resource scarcity but mainly a consequence of the perceived unimportance or ‘negligence’ of the needs of students with disability. And these are the results of collective normalised norms and ideals that, by design, exclude such students. The findings also depicted how technology uses helped students with disability to empower themselves and to become primarily self-dependent. However, at the same time, some service provisions and attitudes of relevant personnel led them to opt out of availing equal opportunities to learn and to thrive. Vol. 48 (University of Dhaka Centennial Special Issue), June 2022 p.83-94

Integration of ICT in the Teaching-Learning Process: Challenges and Issues Faced by Social Science Teachers

The major objective of this study was to evaluate the challenges and issues faced by social science teachers on the Integration of Information and Communication Technology (ICT) in the teaching-learning process. This study was conducted in three education zones in Sri Lanka which represent the diverse socio-cultural and economic conditions of the country. Online interviews were conducted with twenty-four social science teachers teaching in junior secondary classes. The results revealed that (i) teachers are facing challenges in accessing ICT resources; (ii) they have issues in skill development related to ICT; (iii) there were disparities in the availability of ICT resources among schools and (iv) there was difference in the quality of ICT infrastructure among schools. Further, the study found that teachers are facing some barriers while using ICT in the teaching-learning process such as inadequate ICT resources, rigid rules and regulations in the school administration, absence of transition time between periods in the school timetable and non-availability of facilities to repair and maintain the computers. The study suggests that appropriate actions should be undertaken by educational policymakers and other relevant personnel to address this issue in the school system.

Explosibility and thermal decomposition behavior of nitrile rubber dust in industrial processes

The formation of nitrile rubber (NBR) dust clouds during processing can lead to a potential dust explosion under certain conditions. However, the potential explosion hazard posed by NBR dust is usually overlooked by enterprises. In this paper, the explosive properties of NBR dust are investigated using a Hartmann tube, a G-G furnace, and a 20 L explosion chamber. The results showed that NBR dust could cause explosions severe enough to be classified as St-1. In addition, the thermal decomposition behavior of NBR dust under combustion conditions was investigated using a combination of thermogravimetric analysis coupled with Fourier transform infrared spectroscopy (TGA-FTIR). The results indicated that in the early stage, NBR dust mainly undergoes self-thermal decomposition to produce a large amount of combustible gas, which combines with oxygen to form a mixed gas and cause a gas-phase explosion. In addition, the participation of oxygen could lower the initial temperature of NBR dust thermal decomposition. As a result, decomposition occurred more quickly and a large amount of combustible gas was produced, thus expanding the range of dust explosions. Furthermore, these combustible gases exhibit varying degrees of toxicity, seriously affecting the life and health safety of relevant personnel. This work provides theoretical guidance for the development of safe procedures to prevent and address problems during NBR dust processing in enterprises.

A framework of marine collision risk identification strategy using AIS data

AbstractCollisions are one of the major accidents in the shipping industry, causing significant losses. In this work, a framework of marine collision risk identification strategy was developed to quantitatively analyse collision risks and provide an easy and convenient way to monitor traffic flow in relevant waters to mitigate the chances of collision. The model was verified by using automatic identification system data obtained from Tianjin Port. When compared to previous research, the proposed model can identify risks earlier and give people more time to analyse and take action. The results indicate that it also can provide a visual display to alert relevant personnel. The model can be used as a reference to identify potential collision risks or as an information source for future research.

IoT-based Eyes Closure Alert System for Drowsy Driver

Internet of Things (IoTs) is a technology that links objects and mechanisms to the Internet. IoT devices are deployed in a number of areas within the transportation sector, notably in security and surveillance. The ability to track driving behaviour on the road using IoT can improve driver safety and reduce traffic accidents. In this paper, a prototype system to detect a driver’s drowsiness is proposed. In particular, a facial landmark is used to extract the eye region, the eye aspect ratio, and closure patterns. This system will audibly alert the driver and invoke third party notification if drowsiness of the driver is detected. Through this system, traffic accidents caused by drowsy drivers can be avoided and driving behaviour can be evaluated by relevant personnel or employers.

Numerical study on the effects of bund on liquid pool spreading and vapor dispersion after a catastrophic LNG tank failure

Liquefied natural gas (LNG) storage tanks are usually equipped with bunds to provide an additional layer of protection. However, the catastrophic failure of an LNG storage tank usually results in a bund overtopping. The overtopped LNG will evaporate rapidly at ground surface to form the flammable gas cloud. Previous studies have developed computational fluid dynamics (CFD) models to investigate the ability of bunds to retain liquids; However, the models were developed based on ambient liquid, ignoring the evaporation phenomena and vapor dispersion of LNG. In this work, a multiphase CFD model which integrated with the evaporation model was proposed to simulate the complete overtopping process (including LNG overtopping, LNG spread, LNG evaporation and vapor dispersion). The data from two field experiments were used to validate the model. In addition, this paper studied a case of catastrophic failure that derived from an industrial LNG Tank. The effect of the bund configurations on the wind flow field, the overtopping fraction, the spread of LNG and the dispersion of LNG vapor cloud was analyzed. The present work can help relevant personnel to better assess the engineering risks associated with catastrophic failure of storage tanks for decision making in the process safety framework.

Developing and Disseminating Traditional Chinese Music from the Perspective of Non-foreign Heritage

As one of China's intangible cultural heritage, Yu Opera has irreplaceable social influence and artistic value. However, with the continuous prosperity of the economy and society, traditional music is facing the problem of inheritance. Therefore, how to better protect and develop folk traditional music in the new era is an urgent problem that relevant industry personnel need to solve.

The Glasgow declaration on sustainability in Anaesthesiology and Intensive Care.

The Glasgow declaration on sustainability in Anaesthesiology and Intensive Care.