Operation Ability Research Articles

A systematic study on the correlation between governance structure and strategic performance of Chinese listed companies in the context of deep learning

Abstract The analysis of the links and uncertainties between independent variables and dependent variables is effective. Then, the factor analysis method is applied to establish a comprehensive performance evaluation system that takes into account four dimensions: corporate profitability, solvency, development ability, and operation ability. Finally, using a regression analysis model to analyze performance factors and correlation analysis, the correlation and significance level between corporate governance structure and enterprise performance were explored. The regression coefficient of the social performance of board-size enterprises is -0.034, which negatively affects economic performance. The significance of corporate compensation incentives, equity incentives and economic performance is 5% and 1%, respectively, which has a positive effect. This study is important for improving corporate performance and optimizing corporate governance structure.

Diagnosing the ability of reservoir operations to meet hydropower production and fisheries needs under climate change in a western cordillera drainage basin

Water regulation has contributed to the decline in Pacific salmon in British Columbia (Canada) despite attempts to manage reservoir operations to achieve operational requirements while meeting environmental needs to limit fish thermal stress. The ability of reservoir managers to meet these trade-offs in a changing climate is unknown. Here, we examine the reliability and vulnerability of the Nechako Reservoir to meet hydropower production commitments and fisheries needs under two projected Shared Socioeconomic Pathway scenarios (SSP2-4.5 and SSP5-8.5). While our findings are specific to the operation of the Nechako Reservoir, the issues that emerge are likely common to many reservoirs in areas where reservoir inflow regimes are currently snow-storage dominated. We found that projected changes in the timing of water availability have little to no influence on hydropower generation commitments. However, larger water releases will be required to avoid compromising reservoir safety, possibly endangering downstream fish habitat through scouring. Furthermore, the temperature of water released from the reservoir is projected to more frequently exceed a level, 20°C, that is detrimental to migrating sockeye salmon. Water released is subject to further warming as it travels towards the lower reaches of the Nechako River used by migrating salmon. Hence, there is a need to adapt reservoir operations to ensure reservoir safety and mitigate adverse effects on salmon habitat.

Finding Your First Job: Are Orthopedists in Training and Hiring Medical Practices on the Same Page?

A study of orthopedic surgeons in training and hiring practices that is designed to investigate the priorities of applicants and employers in the hiring process. Introduction: This study was designed to determine important factors to hiring practices when evaluating the application of a potential hire and compare them with the factors emphasized by candidates as most important to them in a job. Methods: This survey was designed to compare the priorities of hiring practices to job applicants with regards to several categories including: how applicants and jobs are identified, what factors might be important to a practice when evaluating job applicants and what factors might be important to a job applicant when applying. Hiring practices were further asked to elaborate on previous unsuccessful hires and the reasons for failure. Results: Hiring practices and applicants agree that personal or professional referrals are the most important resource for finding a job, but disagree in the utility of recruiters and social media. Hiring practices and potential applicants agree that the need for a particular subspecialty and recommendations are the most important factors for a practice to consider when choosing a new hire. Applicants tend to place a higher value on commitment to a region, personal connections and fellowship prestige, while practices are more interested in recommendations from residency directors, prior employers, operative ability and community involvement. Applicants and hiring practices both understand that the ability to practice within one’s subspecialty, salary potential and a candidate’s preference for location are critical. Hiring practices underestimate the importance of a starting salary and signing bonus to an applicant and overestimate the importance of practice reputation and the availability of ancillary services. Discussion/Conclusion: There are significant misunderstandings between young surgeons applying for their first job and hiring practices. To be successful young physicians should strive to understand the motivations of hiring groups. Similarly, orthopedic practices can save themselves significant time and money by understanding the motivations of surgeons entering the work force.

Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value

Discovering sustainable business partnerships is crucial for small and medium-sized companies, where they can realize potential value through operational resources and abilities. Prior studies have mostly focused on predicting and developing new business partners using various machine learning techniques or social network analyses. However, effectively estimating potential benefits from business partnerships is much more valuable to companies. Therefore, this study proposes a method which combines deep learning and network analyses to estimate the potential value of business partnerships for companies. To demonstrate the effectiveness of the proposed method, we expand business partnerships between companies and assess potential value derived from the parenthesis using business transaction data collected from the Republic of Korea. The results suggest that companies can gain more potential value from extended networks when compared to previous ones. Furthermore, potential value results show clear distinctions between industries. Our findings provide evidence that small and medium-sized companies can experience significant benefits by establishing adequate business partnerships.

Chinese expert consensus on standardized inhaler device application in stable chronic airway diseases (2023)

Chinese expert consensus on standardized inhaler device application in stable chronic airway diseases (2023)

Research on the Valuation to Tencent: A Case Study

In the 21st century, people's life has been inseparable from the network, the network penetration rate of our life is unprecedented. Large Internet companies provide many job opportunities for the society, and more and more people flock to this industry for investment or entrepreneurship. Moreover, unicorns are more likely to emerge in Internet companies than in other industries. At the same time, financial leverage is more commonly used to obtain financial returns. It is necessary to study the financial situation of Internet companies. Tencent is a strong Internet company. However, according to its financial statements, it could be found that some hidden dangers, such as the rapid growth of liabilities, the decrease of asset turnover rate and asset turnover rate, led to the high financial leverage of Tencent. Although this strategy could produce high income effect and improved the efficiency of the enterprise's use of funds, it is a double-edged sword and increases the business risk of the enterprise. Based on the analysis of Tencent's debt paying ability, operation ability and profitability, this paper drew the conclusion that Tencent has operational risks due to its high financial leverage. Research data mainly came from Tencents annual report.

Financial Analysis and Strategic Forecast of Volkswagen

As one of the important components of world economic development, the automobile industry has broad prospects. The automobile industry is the future direction of development, with the improvement of living standards, the demand for buying cars is also increasing. Therefore, the market demand for automobiles remains high, which also drives the development of the later service market. Moreover, even though the automobile industry is a highly competitive industry, it is also an industry with rapid development. As one of the leaders in the automotive industry, Volkswagen has attracted the attention of many investors. This paper mainly analyzes the 2022 fiscal year of Volkswagen, including whether the accounting policy conforms to the operational background, compares the profitability, solvency, and operational ability of Porsche, Honda, BMW, and Mercedes-Benz, and pays attention to the future development prospects of Volkswagen, and draws the conclusion that Volkswagen is a company worth investing in for the investors.

Correlation Analysis of Financial Indicators and Prices of A-Share Listed Companies in the Automotive Industry

In recent years, the new energy vehicle industry has experienced rapid growth, with over ten listed companies in the automotive sector trading on the A-share market. As a matter of fact, both large listed companies and smaller new energy firms have significantly contributed to economic development and industrial transformation. Successful listed companies have focused on optimizing their operational abilities to enhance shareholder wealth. To be specific, the performance of these companies' share prices on the stock market not only indirectly reflects their financial health but also influences their future growth. This paper employs data processing methods such as EXCEL and SPSS to analyze the correlation between financial indicators and share prices of A-share listed companies in the new energy vehicle industry. Based on the analysis results, one will select appropriate financial indicators that can predict future share price movements. Overall, these results shed light on guiding further exploration of price evaluations.

Validation of a training system for laparoscopic longitudinal suturing in lesion.

A training system that allows the trainee to perform laparoscopic suturing in a realistic environment and measures the force applied to the tissue would be invaluable. This study aims to establish the construct and content validity of the training system we developedfor the objective assessment of surgeons' skills. Ten novices, 6 residents, and 6 experts performed the suturing and knot-tying task using the training system. Ten force-related parameters were used to analyse the system's construct validity. Experts were invited to evaluate the content validity with questionnaires. Eight parameters showed significant differences between the three groups. The construct validity results demonstrated that the system could distinguish the tissue handling ability of operators. The experts agreed that the system had excellent content validity with an average score of 4.71/5. The training system is likely valid for surgical training. It can realistically simulate surgical scenarios and evaluate the tissue handling ability of trainees.

Novel crossbar array of silicon nitride resistive memories on SOI enables memristor rationed logic

In this work, the fabrication of crossbar arrays of silicon nitride resistive memories on silicon-on-insulator substrate and their utilization to realize multi-rationed logic circuits are presented. Typical electrical characterization of the memristors revealed their ability of multi-state operation by the presence of 12 well separated resistance levels. Through a dedicated modeling and fitting procedure of these levels, a reconfigurable logic based on memristor rationed logic scheme is designed and a crossbar integration methodology was proposed. Finally, several circuitry aspects were simulated in SPICE with a silicon nitride SOI crossbar array calibrated model and power optimization prospects were discussed.

Employment Education and Psychological Work of Students in Lower Colleges and Universities Based on the Hierarchical Analysis Method

Abstract This paper establishes a platform interaction model in the context of Internet+ to enhance the motivation of college students to take the initiative to receive employment and entrepreneurship guidance and training. A psychological intervention model regarding hope, optimism, self-efficacy, and resilience is constructed. A new method of fuzzy number ordering determined by the limit coefficient can be obtained by defining the limit coefficient of triangular fuzzy numbers. Hierarchical analysis was used to analyze the employment choice dilemma faced by fresh university graduates and to guide them in making the correct employment choices. The results show that the total mean score of positive psychological capital is 119.99, which indicates that the level of positive psychological capital among college students is high. Employers are very satisfied with the graduates’ operational application ability, which reaches 35%.

Student Digital Literacy Analysis in Physics Learning Through Implementation Digital-Based Learning Media

Currently, the utilization of technology is needed in education as a learning media. This integration demands digital literacy skills. Hence, this research examines the digital literacy skills of Physics Education students at Jember University. This research is descriptive research with data collection methods using questionnaires. Analyzing the questionnaire results follows descriptive analysis techniques. The research findings indicate that students display good digital literacy skills in terms of operational abilities, excellent critical understanding skills, and satisfactory communication skills through media. Therefore, Physics Education students at Jember University possess good digital literacy when utilizing digital-based learning media.

Residential flexibility characterization and trading using secure Multiparty Computation

The intermittent nature of renewable energy sources challenges the ability of grid operators to maintain balance between supply and demand of electricity. Demand response, or flexibility, is the ability of a load to modify its consumption in response to a control signal. The necessary two-way communications between end-users and grid operators introduce new risks on consumer privacy and data security. Consumer engagement in such programs tends to be low not only for privacy issues, but also because of the inappropriate incentive schemes. In this work, secure Multiparty Computation is used in a flexibility market where end-consumers provide demand response to grid operators in exchange for a monetary compensation. Multiparty computation is a cryptographic method that performs operations over encrypted data. Users submit their offers in encrypted form, and a novel way to characterize flexibility as a commodity and to determine device constraints with very little information from the consumers is developed. The market is cleared via a double auction-like process. The method is validated using flexibility offers from 200 devices of different types. We demonstrate the possibility to clear the market and allocate resources with encrypted orders for sole information.

FORMATION OF PROFESSIONAL COMPETENCE OF A LECTURER IN AN INSTITUTION OF HIGHER EDUCATION UNDER INCLUSIVE CONDITIONS

The article describes the process of formation of professional competence of teachers in institutions of higher education in the process of professional activity in the conditions of inclusive education. Now, competence is interpreted as the ability or readiness to implement the acquired knowledge, skills, and abilities in real activity. Competence components are subject and operational knowledge, skills and abilities - ability and readiness to use them in activities and confidence in activities and responsibility for their results. In modern society, which is constantly undergoing changes, the high professionalism and professional competence of teaching specialists, teachers, has acquired an important importance, because the competitiveness of specialists is an urgent issue that is being prepared by a higher education institution. This directly applies to workers in the field of education with an inclusive population, because teachers must be competent in the scientific field of activity, because professional education has always been and continues to be aimed at the comprehensive development of the individual in order to prepare him for active and effective participation in public production with the greatest benefit for themselves and for society as a whole. In world educational practice, the concept of competence acts as a central, a kind of "nodal" concept, because the competence of an individual: combines the intellectual and practical components of education; the concept of competence contains the ideology of interpreting the content of education, which is formed from the result; the competence of the individual has an integrative nature, as it incorporates a number of homogeneous or closely related knowledge and experience belonging to broad spheres of culture and activity (informational, legal, etc.). Personal competence has a certain structure, the components of which are related to a person's ability to solve various problems in everyday, professional or social life. The structure of competence of a person includes: competence in the field of independent cognitive activity; in the sphere of civil and social activities; in the field of social and labor activity; competence in the household sphere; in the field of cultural and recreational activities. Among the knowledge and practical experience formed in the process of a person achieving a certain level of competence are the skills of self-education, critical thinking, independent work, self-organization and self-control, teamwork, the ability to predict the results and possible consequences of various solutions, establish cause-and-effect relationships connections, find, formulate and solve problems.

Preparing for the future of healthcare: Digital health literacy among medical students in Lahore, Pakistan.

Digital Health Literacy (DHL) is becoming a cardinal competence for all healthcare professionals (HCPs) including medical students for meaningful digital transformation of healthcare. As medical students need to navigate an increasingly digitalized healthcare environment, thus the study's objective was to assess digital health literacy among medical students. This cross-sectional analytical study was conducted at King Edward Medical University, Lahore from October 2022 to August 2023. Medical students were asked to complete a pen and paper questionnaire of the Digital Health Literacy Instrument (DHLI) after informed consent. DHLI covers seven categories: operational skills, information searching strategy, analyzing the usefulness of online information, navigational abilities, contributing user-generated material to internet-based platforms, and privacy protection. SPSS was used for data analysis. Eight hundred ninety one medical students, from first year to final year, participated in the study. The overall mean score for DHL was 63.5 (SD=8.82). Medical students achieved a score of 83.2% of total score in their operational abilities, and 82.3% proficiency in privacy protection, which were deemed highly desirable. Furthermore, they achieved a satisfactory level in navigation skill (76.0%), information searching (73.1%), adding content (71.0%), determining the significance of data (70.1%), and assessing data reliability (68.7%), based on the overall score. A significant relationship was observed between the performance level of DHL domains and gender with higher scores in males in all domains except protecting privacy, which was higher in females and clinical years students (p-value < 0.05). The assessment of the DHL of medical students was deemed desirable. But certain obstacles were encountered in few domains of DHL i.e., data reliability, relevance determination, and content augmentation. It is imperative to elevate the level of DHL of medical students to harness the potential of digital technologies in enhancing healthcare.

Transient virtual inertia optimization strategy for virtual synchronous generator based on equilibrium point state assessment

Virtual inertia enables the virtual synchronous generator (VSG) to have a good frequency support capability, but improper virtual inertia will deteriorate the transient synchronization characteristics of the VSG during grid faults, and may even lead to transient instability of the VSG. Aiming at this problem, this paper first analyzes the influence of virtual inertia on the transient stability of the VSG under different equilibrium point states. The research shows that reducing the virtual inertia can improve the transient stability when the VSG has equilibrium points, and increasing the virtual inertia can reduce the risk of transient instability when the VSG has no equilibrium points. Based on the above analysis, it is considered to adjust the virtual inertia adaptively according to the equilibrium point state to enhance the transient synchronous operation ability of the VSG. But directly determining the equilibrium point state depends on the measurement of grid parameters, which is difficult to achieve quickly and accurately in engineering. To this end, a transient virtual inertial optimization strategy based on equilibrium point state assessment is proposed. This strategy indirectly assesses the equilibrium point state according to characteristic parameters, flexibly adjusts the virtual inertia, and enhances the transient stability. Finally, simulation and experiment results verify the correctness of the theoretical analysis and the effectiveness of the proposed optimization strategy.

Comparison between two molar incisor hypomineralization detection criteria in epidemiological surveys.

There is no consensus on which molar incisor hypomineralization (MIH) indices are more suitable for epidemiological surveys. To compare the operational aspects and diagnostic ability of the MIH index (simplified/MIH_s and extended/MIH_e) with the MIH-Severity Scoring System (MIH-SSS) in classifying and diagnosing MIH. This cross-sectional study assessed the indices in a homogeneous group of 680 6- to 10-year-old schoolchildren in Bauru, Brazil, who had at least one first permanent molar, ensuring consistent conditions. Followed by toothbrushing, the children seated on school chairs were examined by the two calibrated researchers under artificial lighting, using mouth mirror and WHO probe, and chronometer recording the duration of examinations. The prevalence of MIH was 24.7%. The most common characteristic of MIH was demarcated opacity, with a prevalence of 81.7% and 85.45% according to the MIH_s and the MIH-SSS, respectively. A positive association was observed among the MIH_s, the MIH_e, and the MIH-SSS (chi-squared test; p < .01). The MIH-SSS demonstrated a shorter average application time than both versions of the MIH index (ANOVA/Tukey; p < .05). Additionally, fluorosis was found to be the most prevalent among other developmental defects of enamel, with a prevalence of 38.38%. All systems effectively diagnosed MIH and its characteristics.

Differential energy pricing of industrial park operator based on potential game considering public loss allocation

With development of industrial aggregation, the industrial park energy operator (IPEO) offers energy supply services to factories with varying energy consumption requirements. Nevertheless, the unified energy pricing model is not conducive to the park operator's ability to attain a justifiable recuperation of energy supply expenses. To address these issues, a differential pricing strategy for the potential game of IPEO is proposed in this paper to achieve clean and efficient operation of industrial electric-heat energy systems (EHES). Firstly, a mechanism for allocating public losses is established in the pricing process, and the power loss of the network is precisely allocated to the user side using the complex power tracking method. Second, a potential game model for IPEO and its users is established based on the different interests of the participants. IPEO releases energy prices to users by maximizing energy sales as a profit function and considering the output of energy production facilities and purchased electricity. The user minimizes the cost of energy by considering the profit function, which takes into account the energy storage discharge and flexible load adjustment. Finally, the feasibility and validity of the proposed model are verified by comparing several cases. The simulation results show that the proposed model can fully consider the autonomy of the game participants and effectively enhance the benefits of each participant.

Detection of driver drowsiness level using a hybrid learning model based on ECG signals.

Fatigue has a considerable impact on the driver's vehicle and even the driver's own operating ability. An intelligent algorithm is proposed for the problem that it is difficult to classify the degree of drowsiness generated by the driver during the driving process. By studying the driver's electrocardiogram (ECG) during driving, two models were established to jointly classify the ECG signals as awake, stress, and fatigue or drowsiness states for drowsiness levels. Firstly, the deep learning method was used to establish the model_1 to predict the drowsiness of the original ECG, and model_2 was developed using the combination of principal component analysis (PCA) and weighted K-nearest neighbor (WKNN) algorithm to classify the heart rate variability characteristics. Then, the drowsiness prediction results of the two models were weighted according to certain rules, and the hybrid learning model combining dilated convolution and bidirectional long short-term memory network with PCA and WKNN algorithm was established, and the mixed model was denoted as DiCNN-BiLSTM and PCA-WKNN (DBPW). Finally, the validity of the DBPW model was verified by simulation of the public database. The experimental results show that the average accuracy, sensitivity and F1 score of the test model in the dataset containing multiple drivers are 98.79, 98.81, and 98.79 % respectively, and the recognition accuracy for drowsiness or drowsiness state is 99.33 %. Using the proposed algorithm, it is possible to identify driver anomalies and provide new ideas for the development of intelligent vehicles.

Experimental Testing and Residual Performance Evaluation of Existing Hangers with Steel Pipe Protection Taken from an In-Service Tied-Arch Bridge

Background: Tied-arch bridges’ hangers are crucial load-bearing parts, and their excellent condition directly influences bridge safety. However, assessing in-service hangers’ continuing functional performance is irrelevant and incomplete, particularly for unique hangers covered by outer steel tubes. Objective: This research uses a case study of an under-bearing tied-arch bridge with substantial hanger damage to determine the origin of the damage and analyze the hanger’s remaining operational ability. Methodology/approach: This study presents a set of assessment methodologies and procedures for in-service hangers’ remaining functioning performance using field inspection and indoor tests. First, an appearance inspection of the full bridge hanger’s upper and lower anchor heads was carried out, and the categories of anchor head damage and distribution rules are summarized. The causes of major water damage and the lower anchor head’s water infiltration channel were explored. Then, a full interior test was performed on the disassembled sick hanger to establish its present mechanical qualities. Finally, field inspection and indoor test findings assessed the bridge hanger’s operational performance. The findings suggest that the anchor box drainage prevention system should be improved to prevent rainfall and condensation from pooling in the lower anchor box and causing anticorrosive grease failure and anchor head corrosion. Results: The hanger’s mechanical qualities have deteriorated and no longer meet usage standards. Most of the water accumulated in the anchor head of the conventional construction hanger enters from the bridge deck or rope surface, but because of the outer steel pipe, rainwater can flow into the lower anchor box through the upper anchor box along the gap between the hanger and the outer steel pipe, so the waterproof system of the upper anchor box should be checked. Conclusions: This research may be used for safety evaluation and maintenance of the same hanger in service.