Test Path Research Articles

The effects of work readiness, organizational justice and professional identity on the work performance of new nurses: a cross-sectional survey

BackgroundWith the evolution of disease patterns and the continuous pursuit of persons for high-quality nursing services, new nurses are the reserve talents of the nursing team and shoulder a major mission. However, due to their low work performance and high turnover rate, this is not conducive to the stable development of nursing teams, and it is urgent to solve this problem. The purpose of this study was to explore the effect of work readiness on the work performance of new nurses, focusing on the mediating role of organizational justice and professional identity.MethodA cross-sectional design was employed. Using convenience sampling methods, 607 new nurses were surveyed in 5 hospitals in Henan Province, China, from January to February 2023. Data were collected using demographic characteristics questionnaire, the Work Performance Scale, the Work Readiness Scale for Graduate Nurses, the Organizational Justice Scale, and the Professional Identity Rating Scale for Nurses. AMOS 26.0 was used for model drawing and mediation path testing, and SPSS 25.0 was used for data analysis.ResultsThe mediation model shows a good fit (χ2 /df = 2.747, CFI = 0.987, GFI = 0.948, AGFI = 0.926, TLI = 0.984, IFI = 0.987, and RMSEA = 0.054). In this study, we found professional identity is a mediating variable between work readiness and the work performance of new nurses (β = 0.113, P<0.01), organizational justice is a mediating variable between work readiness and the work performance of new nurses (β = 0.269, P<0.01) and Organizational justice and professional identity play a chain mediating role in work readiness and work performance (β = 0.066, P<0.01).ConclusionsThe study highlights the importance of improving the work performance of new nurses. To improve work performance, managers should create a fair atmosphere, formulate transparent policies, improve the organizational justice of new nurses, and promote the professional identity and work readiness of new nurses by holding activities or conducting lectures. This will help stabilize the nursing team, improve the medical environment, stimulate the work enthusiasm of new nurses, and contribute to the development of the hospital.

Digital finance and green technology innovation: A dual path test based on market and government

This paper examines the impact of digital finance on green technological innovation from the dual perspectives of market and governmental. Our findings suggest digital finance significantly fosters green technological innovation through mechanisms such as market factor flows and environmental regulation performance. Further examination indicates that digital finance may lead to a "patent bubble trap". Heterogeneity analysis suggests that promoting government data openness and strengthening intellectual property protection can amplify the positive impact of digital finance on green technological innovation. This paper provides valuable insights into enhancing the functionality of digital finance and promoting the green transformation of the economy.

The Impact of Job Insecurity and Workplace Bullying on Employee Performance as Measured by Mental Health as an Intervening Variable on Islamic Junior High School Employees in Wajak District, Malang Regency

Human resources work as drivers of an organization, both institutions and companies and function as assets whose abilities must be trained and developed. Human resource management is a science or method of how individuals can be used efficiently, effectively, and optimally so that goals are achieved (goals) with the company, employees, and society. This research aims to determine the effect of job insecurity and workplace bullying on mental health, influence job insecurity and workplace bullying on employee performance, and mental health can mediate the relationship between job insecurity and employee performance as well as mental health relationships between workplace bullying on employee performance. The population of this research is employees of MTs Wajak District Malang Regency, as many as 64 people. Sampling using technique sense. The sample obtained was 64 respondents. The data analysis used is a validity test, reliability test, classical assumption test, and path test. The research results show that (1) job insecurity negative and significant effect on mental health; (2) workplace bullying has a negative and significant effect on mental health; (3) job insecurity significant negative effect on employee performance; (4) workplace bullying negative and insignificant effect on employee performance; (5) mental health positive and significant influence on employee performance; (6) mental health mediating influence job insecurity on employee performance and (7) mental health mediating influence workplace bullying on employee performance.

Effect of stress unloading rate on fine-scale deformation mechanism of rock under high osmotic pressure

To explore the influence of the working face excavation rate on the rock deformation mechanism and seepage characteristics, deformation and seepage tests of sandstone under different loading and unloading stress paths, such as constant axial pressure unloading confining pressure and loading axial pressure unloading confining pressure, were carried out. Particle Flow Code in 3 Dimensions (PFC3D) and Python were used to realize fluid-solid coupling, and numerical simulation calculations were performed along the test path to analyze the influence of the unloading rate on the fine-scale deformation mechanism and permeability characteristics of sandstone, and the relationship between crack type and permeability was obtained. A sandstone fracture mechanics model is established to analyze the stress concentration degree at the end of the branch crack of the test path. The results show that the rate of confining pressure unloading is inversely proportional to the strain. Additionally, permeability correlates with the principal stress difference in an exponential manner. Interestingly, the sensitivity of permeability to stress shows an inverse trend with the unloading rate of confining pressure. Furthermore, there exists a linear relationship between permeability and the number of cracks. During the unloading process, tensile cracks predominate, and the propagation of shear cracks lags behind that of tensile cracks. The proportion of tensile cracks decreases with the increase of the unloading rate when the axial pressure is unchanged but increases when axial pressure is added, resulting in axial compression deformation and expansion deformation along the unloading direction. These research outcomes offer theoretical insights for the prudent selection of mining rates, and they hold significant implications for mitigating water inrush disasters in deep mining operations.

Pengaruh Penerapan Remote Audit pada Kualitas Audit Internal Pasca Pandemi Covid-19

Despite the challenges encountered in the field, audit quality within the scope of internal audit remains a top priority. The study outlines the ways in how remote audits impact audit quality and the approaches implemented by internal auditors to enhance audit quality. Examining the effect of remote auditing on audit quality is appropriate given the COVID-19 pandemic. This combination of auditor competence and time budget pressure to moderate the effect of remote audits on internal audit quality are also addressed in this study. Survey data is used in this study to measure how far APIP in East Java Province began using remote auditing after the epidemic. SmartPLS is used in the analytical method combined with the Structural Equation Modeling (SEM) model such as reliability and convergent validity test, discriminant validity test and PLS path algorithm and bootstrapping test. The research questionnaire's are measured using a Likert scale (1-7). Remote audits have a positive effect on improving internal audit quality, according to the result of a survey conducted towards 76 out of 100 internal auditors. But auditor competence and time budget pressure does not significantly moderate such a relationship. The research's conclusions have significance for practitioners looking to improve audit quality in remote audits and may benefit users of financial reports to comprehend the level of audit quality in remote audits

PENGARUH PENGETAHUAN DAN KEMUDAHAN TERHADAP KEPUTUSAN PENGGUNA DAN KEPUASAN KONSUMEN DALAM MELAKUKAN TRANSAKSI NON TUNAI QRIS (QUICK RESPONSE CODE INDONESIAN STANDARD) DI KOTA PEKANBARU

This study aims to determine how much influence the things that influence User Decisions and Consumer Satisfaction in Making Non-Cash Transactions QRIS (Quick Response Code Indonesian Standard) in Pekanbaru City. Primary data was collected using a questionnaire as an instrument and structured interviews were used as a complement in proving the research results. This study used 100 samples of QRIS (Quick Response Code Indonesian Standard) users in Pekanbaru City as respondents using the Non Probability Sampling Technique. With the minimum age of 17 years, using, having made non-cash transactions using QRIS, and domiciled in Pekanbaru City. The method used is Explanatory Research with data analysis tests, instrument tests, classic assumption tests, hypothesis testing, and path analysis as data testing paths as well as by the statistical product and service solution software application (SPSS version 21). The results of this study indicate that (1) Knowledge influences User Decisions in Making Non-Cash Transactions QRIS (Quick Response Code Indonesian Standard) in Pekanbaru City; (2) Convenience has an effect but is weak on User Decisions in Making Non-Cash Transactions QRIS (Quick Response Code Indonesian Standard) in Pekanbaru City; (3) User Decisions affect Consumer Satisfaction in Using QRIS (Quick Response Code Indonesian Standard) Non-Cash Transactions in Pekanbaru City; (4) The direct effect of knowledge on user decisions is greater than the indirect effect of knowledge on user decisions and consumer satisfaction in conducting QRIS non-cash transactions in Pekanbaru City (5) the direct effect of convenience on decisions is greater than the indirect effect of convenience on customer satisfaction in Conduct QRIS Non-Cash Transactions in Pekanbaru City. Keywords: Non-Cash Transactions, Convenience, Knowledge, User Decision, Consumer Satisfaction

Testing of spherical mirrors with extremely large R numbers using a quasi-autocollimation method

Spherical mirrors with large R numbers have extreme advantages in optical systems with large apertures and long focus lengths for improving imaging resolution and field of view. Their manufacturing and testing accuracy directly affects the final wavefront aberration of the systems. However, due to the influence of airflow disturbance in the long optical path, testing large R number spherical mirrors with high precision is difficult for the direct testing method. In this paper, a quasi-autocollimation test (QACT) method is proposed based on the consistency and reverse compensation between sphere and paraboloid with large R numbers. In QACT, the length of the testing path is reduced to half, and the test sensitivity of the surface figure error is doubled. According to the Kolmogorov turbulence theory, the suppressed degree of QACT to airflow disturbance is quantitatively evaluated, and QACT can suppress the random error in test to 35%. A comparative experiment between direct test and QACT method is carried out on a ∅100 spherical mirror with 8-meter radius of curvature. Airflow disturbance in the testing environment is calculated by mathematical fitting and the repeated accuracy is improved from 4 nm to 1.4 nm in a single test using the QACT method, which is consistent with theoretical analysis. The research results will provide a new strategy for ultra-precision and efficiency tests of large R number spherical mirrors.

The Influence of Speed, Agility, and Confidence on Extracurricular Students' Football Dribbling Ability

This research aims to determine the influence of speed, agility, and self-confidence on ball dribbling ability. This type of research uses path analysis with endogenous variables, namely agility, flexibility, and self-confidence, and the exogenous variable is the ability to dribble the ball. The research sample was 40 male students who took part in extracurricular football activities, taken by purposive sampling. The location of this research is SMP Negeri 4 Binamu, Jeneponto Regency. Research instruments include a dribbling test, a 50m running speed test, a dodging run test, and a self-confidence questionnaire. Research data was analyzed through path analysis and testing was carried out with the help of the SPSS version 26.00 program with a significance level of 0.05. Based on the research results, show 1) there is a direct effect of speed (X1) on self-confidence (X3) (p&lt;0.05); 2) There is a direct effect of agility (X2) on self-confidence (X3) (p&lt;0.05); 3) There is a direct effect of speed (X1) on dribbling ability (Y) (p&lt;0.05); 4) There is a direct effect of agility (X2) on ball dribbling ability (Y) (p&lt;0.05); 5) There is a direct effect of self-confidence (X3) on dribbling ability (Y) (p &lt; 0.05); 6) There is no influence of speed (X1) through confidence (X3) on dribbling ability (Y) (p&gt;0.05); 7) There is no influence of agility (X2) through self-confidence (X3) on ball dribbling ability (Y) (p&gt;0.05).

Automated Mapping Tool from Moise+ to Colored Petri Nets

The demand for systems incorporating artificial intelligence, such as multi-agent systems, is continually increasing. Simultaneously, there is a growing need for developing tools to support this field, ensuring better fault tolerance within projects. This is particularly crucial given that these systems possess characteristics that render them non-deterministic, thereby amplifying the challenge of conducting tests. To address this challenge, a mapping tool has been developed. This tool automatically generates a graphical model, facilitating the identification of test paths for a given multi-agent system. It operates by taking an XML file from Moise+, an organizational model for multi-agent systems, and translates it into a colored Petri net. The resulting mapping serves as a foundation for generating test cases essential for validating the Moise+ model, guiding system testing. Automation streamlines the process, enhancing speed, and eliminating the potential for human error.

M&As and the value chain of host countries in the “belt and road” — Based on path test of technological innovation

Mergers and acquisitions (M&As) are crucial for capital concentration and rapid enterprise expansion. Most countries along the “Belt and Road” are developing economies, facing the dilemma of “low-end locking” of the global value chain. Utilizing data on global value chain participation of countries along the “Belt and Road” from 2003 to 2018, obtained from the United Nations Conference on Trade and Development, this study examines the impact and mechanisms of M&As on the global value chain participation of host countries along the “Belt and Road.” Our findings are as follows: (1) M&As, primarily foreign, exert a significant inhibitory effect on the improvement of value chain participation in host countries along the “Belt and Road.” This conclusion holds even after excluding abnormal data and considering endogeneity issues; (2) the inhibitory effect of M&As on enterprises has cyclical differences in the economy and heterogeneity among countries, particularly evident after the 2007 global subprime crisis. This effect is less pronounced in developed countries along the “Belt and Road” than on developing countries; and (3) M&As hinder the rise of the host country's global value chain by restraining the host country's government intervention and advancements in basic science and technology.

From Microservice to Monolith: A Multivocal Literature Review

Recently, the phenomenon of switching back from microservice to monolith has increased in frequency, leading to intense debate in the industry. In this paper, we conduct a multivocal literature review to investigate reasoning and key aspects to pay attention to when switching back and analyze other practitioners’ opinions. The results show four cases of switching back from microservice to monolith: Istio control plane, Amazon Prime Video monitoring service, Segment, and InVision. The five main reasons that led to switching back are cost, complexity, scalability, performance, and organization. During the switching back process, six key aspects need to be addressed: (1) stopping the development of more services, (2) consolidating and testing paths, (3) unifying data storage, (4) implementing the message bus principle, (5) giving up diverse techniques, and (6) learning to use modular design principles. As to the practitioners’ opinions, they had mixed views about the switching back phenomenon. However, most thought that switching back required consideration of the actual system situation and principles. These results pave the way for further research and guide researchers and companies through the process of switching back from microservice to monolith.

A bio-inspired model for robust navigation assistive devices

This paper proposes a new implementation and evaluation in a real-world environment of a bio-inspired predictive navigation model for mobility control, suitable especially for assistance of visually impaired people and autonomous mobile systems. This bio-inspired model relies on the interactions between formal models of three types of neurons identified in the mammals’ brain implied in navigation tasks, namely place cells, grid cells, and head direction cells, to construct a topological model of the environment under the form of a decentralized navigation graph. Previously tested in virtual environments, this model demonstrated a high tolerance to motion drift, making possible to map large environments without the need to correct it to handle such drifts, and robustness to environment changes. The presented implementation is based on a stereoscopic camera, and is evaluated on its possibilities to map and guide a person or an autonomous mobile robot in an unknown real environment. The evaluation results confirm the effectiveness of the proposed bio-inspired navigation model to build a path map, localize and guide a person through this path. The model predictions remain robust to environment changes, and allow to estimate traveled distances with an error rate below 3% over test paths, up to 100m. The tests performed on a robotic platform also demonstrated the pertinence of navigation data produced by this navigation model to guide an autonomous system. These results open the way toward efficient wearable assistive devices for visually impaired people independent navigation.

The Effect of Intellectual Capital, Leverage and Company Size on Profitability and its Impact on Company Value of Sub-Sector Food and Beverage Registered on the Indonesian Stock Exchange Period 2012 - 2022

This study aims to determine the effect of intellectual capital, leverage, and company size on profitability and their impact on company value in the food and beverage sub-sector. This research is quantitative empirical research using hypothesis research that examines the significant influence and direction of the direct and indirect relationship between the independent variables and the dependent variable through the intervening variable. This study used a sample of food and beverage sub-sector companies listed on the IDX for 2012–2022 using a purposive sampling method where 45 companies were obtained from the population and 14 companies were selected according to predetermined criteria. Based on statistical test results, it was found that intellectual capital partially had a negative and insignificant effect on profitability, while leverage and company size had a positive and significant effect on profitability. Partially, intellectual capital, leverage and profitability have a positive and significant effect on company value, while company size has a negative and insignificant effect on company value. Partially, the results of the Sobel Test Path Analysis indirectly mean that profitability as an intervening variable is not able to mediate the influence of intellectual capital and leverage on company value, while directly profitability as an intervening variable is able to mediate the influence of company size on company value.

The Role of Job Engagement in Mediating Work Life Balance in Turnover Intention

Gen Z is a generation that has difficulty experiencing job satisfaction. Gen Z tends to have the intention to reach the highest peak in a job. Therefore, Gen Z has a tendency to leave the company and look for alternative jobs in other workplaces. This study aims to determine the effect of work life balance on turnover intention through job engagement for Gen Z employees in Surabaya. This research method uses quantitative analysis techniques to test hypotheses and test mediation or path analysis. The results of this study found that work life balance and job engagement have a simultaneous effect on turnover intention variables.

Refinement of the rKLi8.3-Based Serodiagnostic ELISA Allows Detection of Canine Leishmaniosis in Dogs with Low Antibody Titers.

The diagnosis of canine leishmaniasis (CanL) still represents a challenge due to the variable clinical manifestations and the large number of asymptomatic dogs. Serological tests are most commonly used to detect infected animals, revealing anti-Leishmania antibodies, mainly of the IgG isotype. Recently, a new diagnostic antigen, rKLi8.3, containing 8.3 kinesin tandem repeats (TR) from a Leishmania infantum strain from Sudan, has been shown to provide excellent specificity and sensitivity for the detection of Leishmania-infected humans and dogs. However, asymptomatic animals with very low antibody titers are often difficult to detect by serodiagnosis. Thus, we wondered whether the addition of an anti-IgG-enhancing step in the protein A/G-based rKLi8.3-ELISA will improve the diagnostic performance without decreasing the specificity. For this, parasitologically confirmed CanL cases with low or high clinical scores, uninfected healthy controls and dogs with other infections were tested by rKLi8.3-ELISA as well as two different immunochromatographic rapid tests, rKLi8.3-lateral flow test (LFT) and Dual Path Platform (DPP®) based on the rK28 antigen. Our results show that the diagnostic accuracies of the rKLi8.3-ELISA and LFT were similar to that of DPP, missing several asymptomatic animals. However, the addition of a secondary, amplifying anti-dog IgG antibody in the protein A/G-based rKLi8.3-ELISA enabled the detection of nearly all asymptomatic dogs without compromising its specificity.

Rapid antibiotic screening based on E. coli apoptosis using a potentiometric sensor array

Phenotypic antimicrobial susceptibility testing enables reliable antibiotic screening but requires multiple strategies to identify each phenotypic change induced by different bactericidal mechanisms. Bacteria apoptosis with typical phenotypic features has never been explored for antibiotic screening. Herein, we developed an antibiotic screening method based on the measurement of antibiotic-induced phosphatidylserine (PS) exposure of apoptotic bacteria. Phosphatidylserine externalization of E. coli that can be widely used as an apoptosis marker for antibiotics with different antibacterial mechanisms was explored. A positively charged PS-binding peptide was immobilized on magnetic beads (MBs) to recognize and capture apoptotic E. coli with PS externalization. Apoptotic E. coli binding led to the charge or charge density change of MBs-peptide, resulting in a potential change on a magneto-controlled polymeric membrane potentiometric sensor. Based on the detection of apoptotic E. coli killed by antibiotics, antibiotic screening for different classes of antibiotics and silver nanoparticles was achieved within 1.5 h using a potentiometric sensor array. This approach enables sensitive, general, and time-saving antibiotic screening, and may open up a new path for antibiotic susceptibility testing.

Analysis of Vibration Transmission Path in Packaging System and Design of Teaching Experiment

It is essential for realizing the most suitable product buffer packaging design to quantify the vibration transmission characteristics of the product packaging system. The experiment system for the vibration transmission path of protective packaging is designed in this paper. The practical system is used to analyze the vibration transfer path of the product packaging system and identify the critical transfer path. The concepts of the cushions’ contribution rate and the cushions’ weighted contribution rate are introduced. The product cushioning based on the weighted equal contribution rate of the cushions is proposed. It has been verified by experiments that the system can accurately identify the transfer path with the weighted contribution rate of the cushions as a reference for the design of product buffer packaging, which improves the utilization rate of buffer packaging materials and reduces the cost of packaging materials. The weighted equal contribution rates of buffer pads 1, 2, 3, and 4 are 40%, 27%, 22%, and 11%, respectively. For the needs of experiment teaching, the teaching content based on the protective packaging transfer path testing system is designed, which provides a reference for the practical education of the packaging specialty.

Influence of reference sphere on test accuracy of Ritchey–Common method

AbstractThe authors analyse the influence of reference sphere on the test accuracy of Ritchey–Common method during testing of flat mirror surface. A simulation model is established to simulate the influence of different radii of curvature of reference sphere on system wavefront. Then, the difference between the flat mirror surface result with reference sphere surface error to the actual flat mirror surface is examined by this model. The test accuracy of flat mirror result can be effectively improved by eliminating the influence of the surface error of reference sphere. When the surface accuracy of the reference sphere is better than 0.01 λ, the influence on RMS test accuracy is within 0.01 λ. R–C test path is built to test a 100 mm‐diameter flat mirror surface, and its results are compared with those of the flat mirror surface without surface error of reference sphere and with the test result of the interferometer. When the surface accuracy of the actual used area of reference sphere is better than 0.01 λ, the effect on flat mirror RMS accuracy is within 0.01 λ. The RMS test accuracy can reach 0.01 λ, when the surface error of reference sphere is retained. The experiment verifies the correctness of the simulation results and guarantees the improvement in the test accuracy of R–C method.

Finding the longest delay paths for the array-form multipliers using a genetic algorithm

Traditional digital multipliers are often designed in array forms or other variants. Timing of array-form multipliers can be analyzed by static timing analysis (STA), but the obtained timing result is conservative and pessimistic. Although statistical static timing analysis (SSTA) can partly solve the pessimism, it still does not generate test patterns for those near-to-longest delay paths. Finding near-to-longest delay paths can be helpful to designing error tolerant circuits, with which aggressive timing (with timing violation) can be exploited. In such design scenarios one should find test vectors to activate those near-to-longest delay paths in order to further run SPICE-precision diagnose on those potential timing violating critical paths. Test vector generation for such a testing problem is essentially an exhaustive enumeration problem when dealing with different forms of array multipliers. However, large size multipliers would result in an extremely large enumeration space for finding the longest delay path (LDP) test vectors. Currently there is no deterministic method that can guarantee to find test vectors for exact LDPs of a large size multiplier. Only very few research papers have addressed this problem, proposals are limited to heuristic methods without guarantee of finding the LDPs with the testing vectors. This paper investigates the potential of a genetic algorithm (GA) for searching the extensive test pattern space. By a fine design of GA, experimental running shows that a combination of well tuned evolutionary operators does empower the possibility of finding the LDPs for a set of moderate size carry-save adders (CSA) multipliers with the wordlength (WL) up to 25 bits on a plain laptop computer. Statistical properties of the proposed GA are examined.

Research on the Testing and Evaluation of Active Safety System for Turning Cars in Two wheeler Traffic Scenarios

China In-depth Traffic Accident Survey (CIDAS) shows that two wheeler has the highest accident fatality rate, more than 38%, which is far more than cars and pedestrians. In this paper, the characteristics of traffic accidents in China, the types of two wheeler, and traffic characteristics of two wheeler are taken into account. There are typical hazardous scenarios in the case of crossing, longitudinal, turning, mixed, etc. In the existing collision scenarios design of cars and two wheeler, the testing methods of crossing and longitudinal have been basically mature. Therefore, combining with the functional testing of the current automobile active safety system, to recurrent the traffic scenarios of two wheeler objectively, the active safety test and evaluation scenarios of turning cars under the two wheeler traffic scenarios are designed. Test paths, test speeds, and impact position are proposed. it complements the test scenarios for active safety function.