Subjects: Psychology >> Developmental Psychology submitted time 2024-03-29
Abstract: Parent-child communication is pivotal in children’s education, with both parties actively engaging in discussion and influencing each other. These daily interactions are widely acknowledged as significant contributors to children’s developmental outcomes. While existing research has focused on examining parental effects or bidirectional relations over time, our understanding of child-driven versus parent-driven effects in momentary interactions remains limited. Furthermore, considering that children aged 5 and 6 have gained increased autonomy and self-regulation abilities, it is imperative to examine the dynamic processes within parent-preschooler dyads. In the current study, we used dynamic structural equation modeling (DSEM) to explore the bidirectional associations between parenting behaviors and child behavioral responses during a conflict discussion task. Our aim is to determine whether the momentary interaction process is primarily driven by parents or by children themselves.
The study included 113 Chinese parent-child dyads (59 boys, Mage = 5.81 years). During the laboratory visit, the parent-child dyads were video-recorded engaging in a conflict discussion. Specifically, they were prompted to discuss a negative episode with the potential to lead to conflict in their daily lives. Trained observers rated parental supportive behavior, non-supportive behavior, child positive behavior, and child negative behavior on 4-point scales in 15-second epochs. Also, observers coded the resolution of the conflict discussion as compromise, win-loss, or standoff. For data analysis, we employed DSEM with Bayesian statistics to assess changes in parental parenting behaviors and child behavioral responses in their momentary interactions during the discussion task. Further, we conducted regression analysis to examine the effects of parental and child behaviors on the resolution of the conflict discussion.
The findings revealed that: (1) increases in children’s negative behavioral responses in a given 15-second epoch predicted increases in parental non-supportive parenting behavior in the next epoch; (2) children’s positive behavioral responses primarily predicted the resolution of the conflict discussion, with higher levels of positive behavior in children contributing to more constructive conflict resolution.
The current study provides evidence for the child-driven effect in moment-to-moment parent-child communication, highlighting the active role of preschoolers in shaping parent-child interactions. Our findings underscore children as proactive agents in their own socialization process and offer valuable insights for parenting practices. Specifically, parents should be mindful of their own non-supportive parenting behaviors when responding to their children’s negative reactions. To achieve constructive conflict resolution, it is crucial for parents to guide their children in developing positive strategies for behavioral regulation. Overall, our findings have practical implications for fostering effective parenting practices and nurturing healthy parent-child relationships.
Subjects: Energy Science >> Energy Science (General) submitted time 2024-03-29
Abstract: Considering the huge consumption of traditional energy and the rising demand for electricity, the development of renewable energy is very necessary. In this paper, an energy system integrating biomass energy, solar and two-stage organic Rankine cycle (ORC) is proposed, which uses the stable energy output of biomass energy to compensate for the volatility of solar modules. The proposed system comprises a biomass boiler, photovoltaic thermal panels (PV/T), evaporators, condensers, working medium pumps, turbines, a preheater and an air preheater. In addition, conventional and advanced exergy, exergoeconomic and exergoenvironmental (3E) analyses are carried out. Conventional 3E analyses reveal two components that require priority improvement. They are respectively evaporator 1 with the largest exergy destruction (708.2kW) and exergy destruction environmental impact rate (775.3 mPt/h) and evaporator 2 with the largest exergy destruction cost rate (19.15$/h). The results of advanced 3E analyses show that the largest avoidable endogenous exergy destruction is condenser 1 (136.6kW), the largest avoidable endogenous exergy destruction cost rate is condenser 2 (3.377$/h), and the largest avoidable endogenous exergy destruction environmental impact rate is condenser 1 (196.1mPt/h). These mean that these components have great potential for improvement in reducing exergy destruction, saving cost and protecting the environment. In addition, the avoidable endogenous exergy destruction/cost/environmental impact rate of evaporator 2 are negative, so evaporator 2 is not suitable as a priority component for improvement, which is contrary to the conclusions of conventional 3E analyses. It is found that conventional 3E analyses can only point out the biggest exergy destruction point, but cannot indicate whether the components with the greatest exergy destruction have the greatest potential for improvement. However, advanced 3E analyses can show the improvement potential of each component by improving its own performance and the external conditions. Therefore, it is necessary to conduct advanced 3E analyses.
Subjects: Psychology >> Management Psychology submitted time 2024-03-28
Abstract: Amidst intense competition, the precise recognition of innovative solutions aligned with the enterprise’s needs emerges as paramount for a company’s survival and growth. Decision-makers’ creativity recognition holds a central position in the literature on organizational creativity and innovation. However, existing studies often overlook the substantial impact of competition, leaving decision-makers’ cognitive biases and the underlying mechanisms unexplored. Consequently, research findings lack the explanatory power necessary for real-world phenomena. Within the corporate innovation process, decision-makers frequently engage in prolonged competition with closely matched opponents, transforming routine competition into enduring rivalry. Acknowledging this context, the current project adopts a relational competition perspective to investigate how the rivalry between decision-makers influences the accuracy of creativity recognition for both parties. Employing a mixed-method approach, encompassing laboratory experiments, field studies, and archival analysis across four studies, the project explores the nuanced effects of rivalry on decision-makers’ creativity recognition. Furthermore, the project seeks to unveil the mediating roles of cognitive processing depth and breadth paths while examining the boundary conditions. Leveraging the rivalry perspective, this project sheds new light on decision-makers’ cognitive biases in creativity recognition and the underlying mechanisms contributing to these biases. In terms of practical implications, this project can also assist decision-makers in comprehending and mitigating biases effectively.
Subjects: Psychology >> Other Disciplines of Psychology submitted time 2024-03-28
Abstract: Psychological and brain science study human behavior and the human brain by study volunteers who participate these studies. Given the mind and behavior of participants influenced by their own biological and social factors, the generalizability of findings in these fields largely depends on the representativeness of samples. However, the representativeness of samples in psychological and brain science has long been criticized as WEIRD (Western, Educated, Industrialized, Rich, and Democratic). In recent years, several meta-researches have surveyed the representativeness of samples in published studies across different subfields, but the overall understanding of sample representativeness in psychological and brain science is lacking. In this review, we analyze these meta-researches to provide a more comprehensive perspective on the current state of sample representativeness in the field.
Two major issues were found in these meta-researches. First, much important sample information was never reported in the published studies. Most psychological and brain science studies reported participants’ gender, age, and country, while participants’ race/ethnicity, education level, and socioeconomic status were less commonly reported. Other important demographic variables, such as rural/urban, were reported completely ignored. And from a temporal perspective, the reporting of these demographic variables has increased only slightly in recent years compared to the past. The current situation of neglect in reporting demographic information has not fundamentally changed.
Second, based on the reported information, the current sample in the field is far from being representative of the world population: most participants are young, highly educated Caucasian females in Western countries; middle-aged and older, less educated, disadvantaged people in and outside Western countries are less likely to be studied. In terms of countries, African, Latin American, and Middle Eastern countries appear fewer in psychological and brain science research.
These two issues may be due to the following reasons: convenience sampling as the main sampling method; Western researchers dominating the research of psychology and brain science, with most of the editors-in-chief, editorial board members, and authors coming from Europe and America; traditionally, psychology and brain science under-valued the effect of culture and various demographic factors; the assumption that findings from Western participants can be generalized to all human beings. Addressing the issue of sample representativeness in psychological and brain sciences requires a concerted effort by researchers, academic societies, journals, and funding agencies: Researchers should collect and report detailed demographic information about participants, state the limitations of generalizability, and use sampling methods that can increase representativeness whenever possible (e.g., probability sampling); academic societies should raise the awareness of the representativeness issues by organizing more academic symposium or workshops on this topic; journals should increase the representativeness of editorial board members and encourage more rigorous research with samples from underrepresented groups or studies that examine the generalizability of important findings; funding agencies can encourage researchers to pay more attention to study groups from underrepresented countries, and provide financial support for studying hard-to-research population. Improving sample representativeness will enhance the application of psychological and brain science knowledge to real-life setting and promote the building of a community with a shared future for mankind.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: mainly introduces the development and application of harmonic power metering technology in China since the 21st century. With the increasing demand for harmonic power metering in the power grid, the introduction of the world’s first harmonic power definition standard, IEEE 1459- - -2000, has promoted the development of harmonic power metering technology. The text also mentions the elements of the application and development of harmonic energy metering technology, including the expansion of the scope of harmonic pollution in the power grid, the confusion of harmonic energy metering instrument adopted by different users, and the new type of harmonic energy metering technology introduced in the world. In addition, this paper also introduces the domestic independent development of harmonic energy measurement technology, such as 0.2S level three-phase electricity meter, 0.2S three-phase harmonic active energy metering series products, three phase wave active energy metering products, and using the Hilbert digital filter and low frequency filter calculation harmonic reactive power metering chip development of cutting-edge practical technology. In general, this paper summarizes the development process, application status and future development direction of harmonic power measurement technology in China, as well as the related technology and product achievements.
Peer Review Status:Awaiting Review
submitted time 2024-03-28
Abstract: Smart meter is not only a device used to measure the amount of electricity, but also a core component of the smart grid, realizing the efficient monitoring, prediction and management of power use. With an insight into the evolution of smart meter technology, I realized that this change didn't happen overnight. It has undergone a long journey from the initial mechanical electricity meters to the electronic electricity meters, and now to the highly intelligent electricity meters. Technological breakthroughs at each stage have laid the foundation for the final form of smart meters. In the era of mechanical watt-hour meters, the measurement of electric energy mainly depends on the rotation and counting of mechanical structures. The accuracy and stability of this method are affected by mechanical wear, environmental interference and other factors, and it is difficult to meet the increasing demand for power management. With the rapid development of electronic technology, the electronic electricity meter came into being. It uses electronic technology to sample and process the current and voltage, which greatly improves the accuracy and stability of the measurement. At the same time, the electronic electricity meter also has the function of remote meter reading and data processing, which has brought great convenience to the power management. However, there still have some limitations, such as the complexity of data processing and the limitation of communication capacity. It is these challenges that drive the creation of smart power meters. smart meters combine advanced technologies such as the Internet of Things, big data and cloud computing to realize the real-time monitoring, analysis and prediction of the use of power.
Peer Review Status:Awaiting Review
Subjects: Traffic and Transportation Engineering >> Water Transportation submitted time 2024-03-28
Abstract: Vessel recognition plays important role in ensuring navigation safety. However, existing methods are mainly based on a single sensor, such as automatic identification system (AIS), marine radar, closed-circuit television (CCTV), etc. To this end, this paper proposes a coarse-to-fine recognition method by fusing CCTV and marine radar, called multi-scale matching vessel recognition (MSM-VR). This method first proposes a novel calibration method that does not use any additional calibration target. The calibration is transformed to solve an N point registration model. Furthermore, marine radar image is used for coarse detection. A region of interest (ROI) area is computed for coarse detection results. Lastly, we design a novel convolutional neural network (CNN) called VesNet and transform the recognition into feature extraction. The VesNet is used to extract the vessel features. As a result, the MVM-VR method has been validated by using actual datasets collected along different waterways such as Nanjing waterway and Wuhan waterway, China, covering different times and weather conditions. Experimental results show that the MSM-VR method can adapt to different times, different weather conditions, and different waterways with good detection stability. The recognition accuracy is no less than 96%. Compared to other methods, the proposed method has high accuracy and great robustness.
Subjects: Energy Science >> Energy Science (General) submitted time 2024-03-28
Abstract: With rapidly increasing consumption of energy, shipping industry has imposed a huge burden on the marine environment. It is a general trend to increase the use of renewable energy on ships to improve the ship sustainability. This article summarized the current development and application of solar energy, wind energy and fuel cell in ship power systems. Furthermore, in order to investigate the advantages of sustainable design for the ships, for the first time, a hybrid PV, wind and fuel cell energy system was established for an oil tanker, and the economic and environmental analyses of the hybrid system were performed. The analysis results demonstrate that the optimal hybrid energy system can reduce 151,467kg emission of CO2 and provide 2.92% electricity for the ship gird per year.
Subjects: Engineering and technical science >> Engineering General Technology submitted time 2024-03-28
Abstract: As a new intelligent optimization algorithm, the African vultures optimization algorithm (AVOA) has been widely used in various fields today. However, when solving complex multimodal problems, the AVOA still has some shortcomings, such as low searching accuracy, deficiency on the search capability and tendency to fall into local optimum. In order to alleviate the main shortcomings of the AVOA, a nonlinear African vulture optimization algorithm combining Henon chaotic mapping theory and reverse learning competition strategy (HWEAVOA) is proposed. Firstly, the Henon chaotic mapping theory and elite population strategy are proposed to improve the randomness and diversity of the vulture’s initial population; Furthermore, the nonlinear adaptive incremental inertial weight factor is introduced in the location update phase to rationally balance the exploration and exploitation abilities, and avoid individual falling into a local optimum; The reverse learning competition strategy is designed to expand the discovery fields for the optimal solution and strengthen the ability to jump out of the local optimal solution. HWEAVOA and other advanced comparison algorithms are used to solve classical and CEC2022 test functions. Compared with other algorithms, the convergence curves of the HWEAVOA drop faster and the line bodies are smoother. These experimental results show the proposed HWEAVOA is ranked first in all test functions, which is superior to the comparison algorithms in convergence speed, optimization ability, and solution stability. Meanwhile, HWEAVOA has reached the general level in the algorithm complexity, and its overall performance is competitive in the swarm intelligence algorithms.
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: The research of smart meter communication technology is an important research direction in the field of electric power, which involves in-depth exploration and technological innovation of smart meter communication system. With the development of smart grid, smart meter, as a key information interaction node between the power grid and users, the research and application of communication technology is of great significance for improving the intelligence level of the power grid and optimizing the allocation of power resources. The study includes the evaluation and improvement of existing communication technologies to meet the specific needs of smart meter communication. For example, narrowband and broadband power line carrier communication is a technical direction that can lead the research and application of the meter industry, and its progress in maintenance-free technology, automatic debugging terminal, automatic networking instrument and other aspects are all hot spots in current research. At the same time, the research and optimization of long-range wireless communication systems and the research and development of intelligent terminals are also important aspects of the research of smart meter communication technology. In addition, the research of smart meter communication technology also needs to pay attention to communication protocols, communication security, data processing and other issues. By formulating a unified communication protocol, the interconnection between different devices can be realized, and the compatibility and scalability of the system can be improved. At the same time, strengthening the research on communication security can ensure the safe transmission of power data and prevent data leakage and illegal access. In terms of data processing, through the use of advanced data analysis technology, power data can be deeply mined, providing strong support for decision-making and operation in the power industry. In general, the research of smart meter communication technology is a comprehensive research topic involving many fields, and it is necessary to continuously track the development of new technologies, and carry out technological innovation and application promotion in combination with actual needs to promote the intelligent development of the power industry.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: Energy metering and energy efficiency management play an important role in business operations. Energy metering refers to the detection, measurement and calculation of the quantity, quality, performance parameters and related characteristic parameters of each link in the energy process. It is not only the basis for enterprises to strengthen energy management and improve the level of energy management, but also an important guarantee for enterprises to implement national energy-saving regulations, policies and standards, rationally use energy, optimize energy structure, improve energy efficiency, and improve economic benefits and market competitiveness. Energy metering is usually divided into three levels of measurement, that is, incoming and outgoing energy-using units, secondary energy-using units (such as workshops, process sections, etc.) and main energy-using equipment. This hierarchical management helps enterprises to grasp energy usage more accurately, so as to more effectively manage energy and reduce energy consumption. Energy efficiency management is based on energy metering data, through scientific management methods and technical measures, to achieve effective use and conservation of energy. It involves all aspects of energy procurement, storage, conversion, and use, with the goal of improving energy efficiency, reducing energy consumption, and reducing environmental impact. However, in practice, some enterprises may not pay enough attention to energy metering due to their weak awareness of energy metering, resulting in waste of energy use. In addition, some enterprises may lack professional energy metering personnel, and the processing and analysis capabilities of energy metering data are insufficient, which also affects the effectiveness of energy efficiency management. Therefore, enterprises need to improve the awareness of energy metering, strengthen energy metering management, train professional energy metering personnel, and make full use of energy metering data for energy efficiency management. At the same time, the government and society should also strengthen the publicity and promotion of energy metering and energy efficiency management, and improve the awareness and ability of the whole society to save energy. As for the specific application and practice of energy metering and energy efficiency management in specific enterprises or industries, as well as how to measure and manage these energy sources in the process of use, it will be necessary to conduct specific analysis according to the production process, equipment status, energy use characteristics and other factors of specific enterprises. In general, energy metering and energy efficiency management are important means for enterprises to achieve sustainable development and energy conservation and emission reduction goals.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: This paper deeply discusses the research status and development trend of high-end electric energy meters, and focuses on the differentiated design, technical standards and special test methods of imported high-end electric meters. At the same time, combined with the new needs of two-way interactive smart meters, the key technical design scheme is proposed, which provides a valuable reference for the meter industry.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: A comprehensive and systematic set of multi-functional watt-hour meter performance evaluation quality test methods was proposed. By comparing and studying the relevant standards and technical indicators of advanced meters at home and abroad, this method comprehensively considers the accuracy, stability, reliability and intelligence of the meter, which provides strong support for the quality improvement and technological innovation of the energy meter industry.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: The relevant standards of multifunctional energy meters are evaluated for practicability, especially for the comparative analysis of the International Electrotechnical Commission (IEC) standards and relevant domestic standards. Through an in-depth analysis of the standard, this paper attempts to reveal the advantages and disadvantages of the standard in practical application, and discusses how to further improve the standard to better guide the design, production and application of multi-function energy meters.
Peer Review Status:Awaiting Review
Subjects: Engineering and technical science >> Metrology Subjects: Engineering and technical science >> Technology of Instrument and Meter submitted time 2024-03-28
Abstract: The application research of energy meter technology is an in-depth and extensive field, covering the design, manufacturing, testing, calibration and application of energy meters in power systems. With the continuous progress of science and technology and the rapid development of the power industry, the application of electric energy meter technology is also constantly innovating and improving. First of all, from the perspective of the design and manufacture of electric energy meters, modern electric energy meters are no longer simple mechanical electric energy meters, but use microprocessor technology and communication technology to become smart electric energy meters. Smart energy meters have the advantages of high precision, multi-parameter measurement, harmonic power power metering, etc., and can accurately measure electric energy usage, including active power, reactive power, apparent power and other related parameters. At the same time, the smart energy meter also has the functions of remote meter reading, real-time monitoring, data transmission, etc., which greatly reduces the demand and cost of human resources, and improves the operation efficiency and management level of the power system. Secondly, advanced technical means are also used in the testing and calibration of electric energy meters. For example, high-speed, real-time measurement AC sampling technology makes the measurement of energy meters more accurate and faster. At the same time, the application of open, high-speed communication technology also makes the data transmission of electric energy meters more reliable and efficient. In terms of the application of energy meters, smart energy meters play an important role in the monitoring and management of power systems. It can collect and analyze the operation data of the system in real time, and adjust it according to the needs to ensure the safe operation of the system. In addition, smart energy meters can also provide data support and decision-making basis for the optimization and energy conservation of the power system, which helps to reduce unnecessary waste of electricity and achieve the purpose of energy conservation and emission reduction. However, there are still some challenges in the application of energy meter technology. For example, with the continuous development of the power system, the performance requirements for electric energy meters are also getting higher and higher, and the measurement accuracy and stability of electric energy meters need to be continuously improved. At the same time, with the access of new energy and distributed power sources, the power system has become more complex, and higher requirements have been put forward for the adaptability of electric energy meters. Therefore, in the future, the application research of electric energy meter technology needs to continue to explore new technical methods and means to meet the needs of the continuous development and change of the power system. For example, more advanced measurement algorithms and calibration methods can be studied to improve the measurement accuracy and stability of electric energy meters, more intelligent data processing and analysis technologies can be studied to achieve more accurate monitoring and management of the power system, and more efficient communication technologies can be studied to improve the data transmission efficiency and reliability of electric energy meters. In addition, it is also necessary to pay attention to the application of electric energy meters in the access of new energy and distributed power sources. How to better adapt to the access of new energy and distributed power sources and improve the operation efficiency and stability of the power system is one of the important directions of the application research of electric energy meter technology.To sum up, the application research of electric energy meter technology is a field that is constantly deepening and developing, which needs to be continuously explored and innovated. Through continuous research and application, it is believed that the electric energy meter will play a more important role in the future power system and make greater contributions to the development of the power industry and the progress of society.
Peer Review Status:Awaiting Review
Subjects: Mechanical Engineering >> Machinofacture Technique and Equipment submitted time 2024-03-28
Abstract: The heat transfer mechanism and temperature distribution in laser welding applications have a great impact on the quality of the weld bead geometry, mechanical properties and the resultant microstructure characterizations of the welding process. In this study, the effects of pulsed laser welding parameters including the frequency and pulse width on the melt velocity field and temperature distribution in dissimilar laser welding of stainless steel 420 (S.S 420) and stainless steel 304 (S.S 304) was investigated. A comprehensive comparison was conducted through the numerical simulation and artificial neural network (ANN). The results of numerical simulation indicated that buoyancy force and Marangoni stress are the most important factors in the formation of the flow of liquid metal. Also, increasing the pulse width from 8 to 12 ms due to increasing the pulse energy, the temperature in the center of the melt pool increased about 250 °C. This leads to increasing the convective heat transfer in the molten pool and heat affected zone (HAZ). The temperature difference at a distance of 1 mm from the beam center at both metals at a frequency of 15 and 20 Hz is bout 58 and 75 °C, respectively. Furthermore, reducing the frequency to 5 Hz, due to diminishment of thermal energy absorption time, has clearly decreased the weld penetration depth in the workpiece. According to the ANN results, increasing both pulse duration and frequency has the significant effect on increasing melting ratio from 0.4 to 0.8 compared to the other input parameters. The ANN results confirmed that under the same input conditions, because of the differences in thermal conductivity coefficient, absorption coefficient and melting point of the two pieces, S.S 304 has experienced higher temperatures about 10% more than S.S 420. Also, among the 13 back propagation learning algorithms, the Bayesian regularization algorithm had the best performance. Among the number of different neurons in the hidden layer, comparison was performed to prevent network overfitting. The maximum relative error of network output data and target data for S.S 304 and S.S 420 temperatures and melting ratio were 7.297, 10.16 and 11.33%, respectively.
Subjects: Mechanical Engineering >> Other Disciplines of Mechanical Engineering submitted time 2024-03-28
Abstract: Increasing the transfer (HT) coefficient used in thermal industries is very important. Various methods are used to improve the efficiency of thermal heat HT so that maximum HT takes place in a smaller space. Ethylene glycol (EG) is generally used as an agent for convective HT. EG obtains energy from a hot source and discharges it to the required location. At present, the most consumption of EG is to produce engine cooling fluid. In the upcoming research, the TB of EG fluid in two-dimensional microchannels (MCs) has been investigated using molecular dynamics (MD) simulations, and the effect of variables such as MC dimensions and MC wall temperature (Temp) on the TB of the simulated fluid has been investigated. The results revealed that by increasing the Temp difference of the MC wall from 10 to 50 K, the maximum temperature (Max-Temp) and velocity (Max-Vel) of the target sample increased to 640.94 K and 0.024 Å/ps. It can be concluded that the increase in the cross-sectional area and the wall Temp difference leads to an increase in the HT rate in the MC.
Subjects: Nuclear Science and Technology >> Nuclear Science and Technology submitted time 2024-03-28
Abstract: Due to their excellent safety performance, dispersion fuels are widely used in advanced reactors, such as high-temperature gas-cooled reactors (HTGRs). Compared with deterministic methods, the Monte Carlo method has more advantages in the geometric modeling of stochastic media. The explicit modeling method has high computational accuracy and high computational cost. The chord length sampling (CLS) method can improve computational efficiency by sampling the chord length during neutron transport using the matrix chord length’s probability density function (PDF). This study shows that the excluded-volume effect in realistic stochastic media can introduce significant deviations into the CLS. A chord length correction approach is proposed to obtain the chord length correction factor by developing the Particle code based on equivalent transmission probability. Through numerical analysis against reference solutions from explicit modeling in the RMC code, it was demonstrated that CLS with the proposed correction method provides good accuracy for addressing the excluded-volume effect in realistic infinite stochastic media.
Subjects: Psychology >> Management Psychology submitted time 2024-03-28
Abstract: Due to the increasing prominence of the interpersonal benefits of workplace mindfulness, it is necessary to identify the emerging trends in its conceptual development and interpersonal mechanisms that can help organizations establish positive workplace environments. Our research reveals that the conceptual development trends associated with workplace mindfulness can be categorized into outcome-oriented and process-oriented trends. While the former category focuses on the congruence between concepts and measurements in the work context, thereby promoting beneficial outcomes, the latter category emphasizes the process mechanism of workplace mindfulness during interpersonal interactions. Our work further demonstrates that workplace mindfulness significantly impacts quality-related and function-related interpersonal outcomes through four types of connections: (1) intellectual connections that capture information through open attention to the task of coordinating interdependent work during interactions; (2) emotional connections that reduce the self-inference of both internal and external emotional experiences and strengthen connections with others in terms of belonging, support, and care; (3) resource connections that promote resource accumulation and mitigate resource loss during interactions; and (4) exchange connections that direct the flow of resources and influence people’s willingness to engage in value exchange. Intellectual connections and emotional connections are facilitated by resource connections and exchange connections. Future research could investigate the interpersonal impact of workplace mindfulness in challenging work contexts such as digitalization, AI technology, and telecommuting as well as with regard to the organizational culture in terms of diversity, equity, and inclusion (DEI) and stigmatization.
Subjects: Nursing >> Nursing submitted time 2024-03-28
Abstract:过敏性紫癜(Henoch-Schönlein purpura,HSP)现也称IgA血管炎(IgA vasculitis,IgAV),是儿童时期常见的一种血管炎 1 ,是以非血小板减少、皮肤可触及的淤点瘀斑(为突出特点)、腹痛、关节肿痛和肾炎等症状为主要表现 2 ,少数患者还可能会伴有血管神经性水肿。食、药物过敏、化学污染因素、病毒及蚊虫叮咬、寒冷环境等诸多因素是导致疾病发生的诱因 3 。肾脏受累的轻重程度及治疗决定此病预后转归 4 。目的和方法:经过治疗与中西医结合护理,辨证施护,促进疾病痊愈。结论 中西医结合护理治疗,中医辨证施食,能够促进病情痊愈。
Peer Review Status:Awaiting Review