Communication Time Research Articles

Personal development in the school organization in the context of new educational paradigms

Modernity, but also the processes it involves simultaneously: the continuous increase in the complexity of technology and the volume of information, the changes in the labor market, the poor management of time for relationships and communication, continuously threaten the personal balance of man as part of the new society. Personal development represents a current trend in all aspects of social life and implicitly in its fundamental level, education. A highlighting of the integration of personal development at the level of the education system will capture the implications generated among teachers and school managers as well as the need to implement programs designed to support personal development as part of professional evolution and success, as a benefit that gives meaning and relevance to the didactic and managerial activity, which will facilitate overcoming the challenges that occur in the process of social changes and educational paradigms, but also in relations with other educational actors and with oneself.

Study of MOS and IGBT transistors at switching with variable duty cycle

In this paper, the functionality of MOS and IGBT transistors is examined under identical working conditions, both in terms of command frequency and load circuit. A variable duty cycle and variable frequency signal generator is used to control transistors. Various electronic components and Arduino-UNO modules, as well as the 16×2 LCD screen, were used to create the signal generator. The control signal is amplified by a current amplifier to adapt the output voltage to the value required to control the transistors. The operation of MOS and IGBT transistors at various operating frequencies with resistive or inductive loads is compared. Thus, the communication times of the transistor capsules were determined at various operating temperatures. The temperature was determined indirectly by connecting a thermistor to the transistor capsule.

Chronotopes of didactic communication in modern university

Introduction. The article is devoted to the scantily explored problem of (re) organization of spatial-temporal (chronotopic) aspects of didactic communication in a modern university. The author notes the fact that researchers rarely address this problem.Purpose setting. The purpose of the research is to introduce the concept of the chronotope of didactic communication and describe the leading modes structuring the chronotope of didactic communication in a modern university.Methodology and methods of the study. The research method is a theoretical analysis of chronotopes of didactic communication in a modern university. The initial theoretical premise of the study is the idea of a complex, systemic nature of didactic communication, in which spatial and temporal characteristics are associated with the very organization of educational and pedagogical interactions in a modern university and influence the choice of educational forms and methods of impact.Results. There is a high importance of factors of space and time of educational interaction in the ideas of teachers and students regarding didactic communication in a modern university. The fact of the influence of spatial and temporal features of educational interaction on the process of understanding the subject content by students and on the very organizational scheme of didactic interactions in a modern university is noted.Conclusion. Chronotopes of didactic communication are systems of spatial and temporal organization of didactic communication, correlation of physical and psychological spaces and time of didactic communication, management of psychological mechanisms of orientation of participants of educational interaction in space and time of didactic communication. These systems are different for traditional and modern educational systems, the development of university professional education is in the direction of greater consideration of the psychological space and time of didactic interaction.

Patient Satisfaction Levels in One of the Private Hospital in Padang City

Improving patient care is a priority for health service providers, with the aim of achieving optimal levels of patient satisfaction. Based on patient satisfaction data, the level of patient satisfaction in 2022 still doesn't meet the minimum service standard. It was also found that there were many complaints about the services provided at outpatient clinics. This research aims to determine the level of patient satisfaction based on satisfaction indicators and analyze which attributes are priority problems. The research method uses a sequential explanatory method. Data was obtained from 167 respondents and nine informants. Data analysis uses descriptive analysis and Cartesian diagrams. Qualitative research was carried out using in-depth interviews, observations, and reviews of related documents. Research results showed that the level of patient satisfaction was 72.5%. Based on the five dimensions of service quality, the level of patient satisfaction was found to not meet service standards. There are four main priority problems to be addressed: service registration procedures, inappropriate arrival times for doctors, staff attitudes and communication that aren't optimal, and waiting times for medicines that don't meet standards. It was concluded that the level of patient satisfaction still doesn’t meet the minimum service standards. Keywords: Outpatient care, patient satisfaction, service quality

Communication Management and Data Compression Algorithm Design of BeiDou Transparent Transmission Terminal for Argo Buoy

The Argo buoy detects marine environmental data by making profile movements in the ocean and transmits the profile detection data to the shore base through the communication terminal. However, due to the large volume of data collected from profile detections and the continuous operation of the terminal, the remote communication of buoys is characterized by lengthy communication times and significant power consumption. A low-power Beidou transparent transmission terminal is designed to solve these problems in this paper. The terminal performs low-power operation management and power management for terminal remote communication. After the end of a communication process, the microcontroller turns the Beidou module power off and enters STOP mode. Before the next communication process begins, the serial port wakes up the microcontroller, which powers up the Beidou module. Before the remote communication, the microcontroller compacts the profile detection data collected by the buoy to reduce the quantity of remote communication data. In this paper, a variety of data compression methods are used to compare the compression rate, and the best compression method is selected according to the format characteristics of the data. The results show that the Beidou transparent transmission terminal of the Argo buoy can realize low power consumption for remote communication in ocean exploration. The terminal reduces power consumption by 77.282% per communication, and the average number of remote communications for each profile detection data are reduced by 55 times. The low-power Beidou transparent transmission terminal improves the battery life and is conducive to the long-term operation of the buoy.

Unveiling the key skills and characteristics for the selection of academic leaders in higher education institutions

ABSTRACT This study aimed to explore the essential attributes considered for the selection of academic leaders in higher education institutions in universities from Arabic countries. Through the administration of an open-ended online survey of experienced academic leaders, comprehensive data was collected. The findings of this study revealed that individual qualities and scientific background are the most highly regarded attributes for the selection of academic leaders in higher education institutions for universities in Arabic countries. These individual qualities include personal attributes such as a good reputation, moral obligation, and loyalty and skills and abilities such as excellent communication, specialized qualifications, efficient planning, and proficient time management. Drawing upon the research outcomes, the study concluded that the most significant attributes for selecting academics for leadership roles encompass personal attributes, skills and abilities, scientific background and knowledge, and extensive leadership experience. The implications of these findings contribute to the enhancement of leadership selection processes in higher education institutions.

Optimal Tuning of PID Controllers for LFC in Renewable Energy Source Integrated Power Systems Using an Improved PSO

The constant rise in energy demand and concerns about climate change have led to increased penetration of renewable energy sources (RES). Maintaining active power balance between generation and demand in power systems with significant penetration of these highly variable and intermittent renewable sources requires an efficient load frequency control (LFC) strategy. One such strategy that has gained the attention of researchers is optimal tuning of PID controllers of LFC using metaheuristic method. This paper presents a PSO variant for optimal tuning of PID controllers for load frequency control of power system integrated with renewable energy resources. The proposed PID tuning technique is tested on a two-area power system commonly used in the literature. Seven scenarios have been used to validate the effectiveness of the proposed Load Frequency Control. For more realistic evaluation, governor dead band and communication time delays have been incorporated in the test system in one of the scenarios. Simulation results obtained when compared with those of three well-known PID-tuning metaheuristic algorithms produced shorter settling time and smaller frequency and tie line power deviations.

Flexible silicon photonic architecture for accelerating distributed deep learning

The increasing size and complexity of deep learning (DL) models have led to the wide adoption of distributed training methods in datacenters (DCs) and high-performance computing (HPC) systems. However, communication among distributed computing units (CUs) has emerged as a major bottleneck in the training process. In this study, we propose Flex-SiPAC, a flexible silicon photonic accelerated compute cluster designed to accelerate multi-tenant distributed DL training workloads. Flex-SiPAC takes a co-design approach that combines a silicon photonic hardware platform with a tailored collective algorithm, optimized to leverage the unique physical properties of the architecture. The hardware platform integrates a novel wavelength-reconfigurable transceiver design and a micro-resonator-based wavelength-reconfigurable switch, enabling the system to achieve flexible bandwidth steering in the wavelength domain. The collective algorithm is designed to support reconfigurable topologies, enabling efficient all-reduce communications that are commonly used in DL training. The feasibility of the Flex-SiPAC architecture is demonstrated through two testbed experiments. First, an optical testbed experiment demonstrates the flexible routing of wavelengths by shuffling an array of input wavelengths using a custom-designed spatial-wavelength selective switch. Second, a four-GPU testbed running two DL workloads shows a 23% improvement in job completion time compared to a similarly sized leaf-spine topology. We further evaluate Flex-SiPAC using large-scale simulations, which show that Flex-SiPAC is able to reduce the communication time by 26% to 29% compared to state-of-the-art compute clusters under representative collective operations.

Effect of multidisciplinary refined time management combined with organized stroke management on the efficacy of intravenous thrombolysis in patients with acute ischemic stroke

This study aims to investigate the effects of multidisciplinary refined time management combined with organized stroke management in intravenous thrombolysis on patients with acute ischemic stroke. 226 acute ischemic stroke patients treated with intravenous thrombolysiswere selected for retrospective analysis. A Control group participants underwent organized stroke management, whereas study group participants underwent multidisciplinary refined time management based on the control group. The study group responded to intravenous thrombolysis for 24 hours at an overall rate of 92.92%, significantly higher than 79.65% in the control group (p < 0.05). The time from onset to emergency, time for National Institute of Health Stroke Scale (NIHSS) scoring by emergency doctors, consultation time for neurologists, judgement time for head computed tomography (CT), interpretation time for examination results, communication time with family members to sign the consent form, and time from admission to medication in the study group were significantly shorter than that in control group (p < 0.05). The incidence of hemorrhagic transformation, six-month mortality and six-month rehospitalization rate in the study group were significantly lower than those in the control group (p < 0.05). Before thrombolysis, cerebrovascular reserve function and neurological function indexes in both groups were improved, and there was significant difference before and after thrombolysis in this group (p > 0.05); After thrombolysis, mean blood flow velocity (MFV) and breath-holding index (BHI) in the study group were significantly higher than those in the control group (p < 0.05); pulsatility index (PI) was lower than that in the control group, showing a significant difference (p < 0.05); Serum nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF) and neurotrophin-3 (NT-3) were significantly higher than those in the control group (p < 0.05). Multidisciplinary refined time management combined with organized stroke management can improve the effect of intravenous thrombolysis in acute ischemic stroke.

Multi server queuing model with dynamic power shifting and performance efficiency factor

The need for high performance models in the queuing systems; availability in the fields of computing and communication systems and logistics management poses extensive challenges in design and development of the appropriate modeling. In this work, we propose a robust probabilistic model to mitigate these problems by appropriately choosing a multi-server queuing system with dynamic service facility. The arrival substances, such as packets or jobs or customers or consumers, follow a Poisson arrival process and these arrivals enter a queuing system according to FIFO discipline. The system designed in the system is armed with a fixed number of service stations, in which some servers are capable of allocating additional service capacity by adjusting dynamically. When a customer arrives at the system, if a free server is available, it is immediately served by one of the free processors; if no server is free, that is all are busy, the arrived job is accommodated in the queue and waits for service in the system. In this paper, we proposed a stochastic model to handle peak loads efficiently, boosting service capacity during burst arrivals. Numerical results presented in this paper are generated by the spectral expansion method to demonstrate the model’s performance, offering insights into its efficiency and accuracy. Furthermore, we derived some important special cases of speedup factor, which provide the mathematical estimation of system performance in terms of computation and communication times.

PARALLEL BUCKET-SORT ALGORITHM ON OPTICAL CHAINED-CUBIC TREE INTERCONNECTION NETWORK

The performance of sorting algorithms has a great impact on many computationally intensive applications. Researchers worked on parallelizing many sorting algorithms on various interconnection networks to improve their sequential counterpart performance. One of these interconnection networks is the optical chained-cubic tree (OCCT). In this paper, a parallel bucket sort (PBS) algorithm is presented and applied to the OCCT interconnection network. This PBS algorithm is evaluated analytically and by simulation in terms of various performance metrics including parallel runtime, computation time, communication time, concatenation time, speedup, and efficiency, for a different number of processors, dataset sizes, and data distributions including random and descending. Simulation results show that the highest obtained speedup is approximately 912x on OCCT using 1020 processors, which means the parallel runtime of the PBS on 1020 processors is 912 times faster than the sequential runtime of BS on a single processor.

40 years of AETE: the contribution of scientists and practitioners to the progress of reproductive biotechnologies in Europe.

This conference celebrates the 40th anniversary of AETE. Over the past 40 years, AETE has served as a forum for scientists, practitioners, and students working in assisted animal reproduction in livestock species. AETE conferences have reflected developments in the field, from basic to applied science, as well as regulatory changes in assisted animal reproduction practices. Europe has led the way in these developments for many years, progressing from artificial insemination, embryo transfer, and cryopreservation to semen sexing, in vitro production of embryos, cloning by nuclear transfer, genomic selection, and the rescue of highly endangered species. These significant contributions were made possible by the support of funding agencies, both at the national and European levels, promoting cooperation between scientists and practitioners. Assisted reproduction, and animal breeding more generally, face opposition from various groups, including animal rights activists, vegetarians, proponents of organic farming, environmentalists, certain political parties, and increasing regulatory burdens. These challenges seriously affect funding for scientific research, the work of practitioners, and the breeding industry as a whole. It is crucial to invest time and resources in communication to remind the public, politicians, and regulators of the achievements in this field and the contributions made to the food supply chain and the care of the rural and natural environment.

Postpartum menstrual equity: Video and audio analysis of vaginal bleeding counseling during postpartum inpatient care at a southeastern US tertiary hospital.

Despite the universal nature of postpartum vaginal bleeding after childbirth and the importance of managing vaginal bleeding in the postpartum period to monitor health status, little is known about the information or products that birthing individuals are provided. Investigating current practices may offer insights to enacting more supportive and equitable postpartum care. To evaluate the patterns and content of vaginal bleeding counseling provided to birthing parents while on a postnatal inpatient unit. Observational study of inpatient postpartum care. Birthing parents and their companions consented to video and audio recording of themselves, their infants, and healthcare team members during their postnatal unit stay. Following IRB approval and in coordination with clinicians at a tertiary hospital in the southeastern United States, data were collected with 15 families from August to December 2020. A multidisciplinary team coded video and audio data from each family from 12 h before hospital discharge. This analysis evaluates patterns of vaginal bleeding counseling timing, content, and language concordance and thematic content of this communication. Birthing parent participants were self-identified Hispanic White (n = 6), non-Hispanic Black (n = 5), non-Hispanic White (n = 3), and non-Hispanic multi-race (n = 1). Six were Spanish-speaking and eight had cesarean section births. The timing, content, and language concordance of vaginal bleeding communication varied, with these topics mainly addressed in the hour preceding discharge. Twelve of the 15 birthing parents had communication on these topics between 2 and 5 times, 2 had one exchange, and 1 had no counseling on postpartum bleeding observed. Four of the six Spanish-speaking birthing parents had counseling on these topics that was not language concordant. Postpartum vaginal bleeding management involved the themes of access to products, patient safety, and meaningful counseling. There was a lack of adequate access, variation in accurate and respectful care, and a busy clinical environment with differences in information provided. Findings suggest that there are opportunities to strengthen clinical practices for more consistent, proactive, and language concordant vaginal bleeding and subsequent menstrual care postpartum. Menstrual equity is an important part of dignified and safe care.

A Study on Recognizing and Communicating Metaphors in Picture Book Creation in the Digital Age

Abstract Picture book creation has a rich metaphorical connotation, which is becoming more and more popular along with the development of digitalization. In this paper, the textual metaphors of picture book creation are extracted by combining the textual feature extraction model of the BERT pre-training model and HAN network, the ResNet50 network extracts the illustration metaphors of picture book creation, and the extracted metaphorical features are multimodal fused and recognized with the help of fully connected layer. In addition, a picture book metaphor dataset was constructed, and after analyzing the basic features of picture book metaphors, the effect of the constructed multimodal metaphor recognition was explored, and the recognition and communication of metaphors in picture book creation was studied. The results showed that the recognition accuracy in picture book creation ranged from 0.67 to 0.77, and the high degree of metaphor recognition in picture book creation showed a positive correlation with the average response time of communication, with the regression equation RT=138.45*IdentificationStd+1045.The results of the analysis of the metaphorical picture book creation pictures with textual references showed that the degree of communication comprehension (M=22.38. Std.=3.68), communication liking (M=94.86, Std.=13.58) and reaction time (M=82.44s, Std.=14.15s). Picture books facilitate better interactive communication through their metaphorical expression.

The Needs of Adolescents to Communicate with Their Parents in Online and Offline Formats: The Creation and Validation of a Questionnaire.

Modern society is characterized by the widespread use of social media, which provides users with new communication, leisure, work, and study opportunities. The growth of online communication time leads to the development of new special communicative needs. These circumstances prompted us to develop the "Questionnaire on Adolescents' Needs to Communicate with Their Parents Online and Offline" (QANCP). We set out to study the relationship between adolescents' hierarchy of communicative needs and the characteristics of child-parent relations by developing and testing the psychometric characteristics of the QANCP. One hundred and twenty-eight teenagers (56 boys and 72 girls, age 15-17) took part in the research. The research methods included theoretical analysis, modeling, questionnaires, and statistical analysis. The tools used were: 1) the customized (authorial) "Questionnaire of adolescents' needs to communicate with their parents online and offline" (QANCP); and 2) the Inventory of Parent and Peer Attachment (IPPA) by Armsden and Greenberg (1987) in the Sadovnikova and Eliseeva adaptation (Eliseeva, 2013). The results of the qualitative research proved the acceptability of the QANCP scales. Expert assessments showed that the test had sufficient face and content validity. Statistically significant differences in the parameters measuring adolescents' communicative needs in groups with different types of relations with their parents were established. Testing of the QANCP questionnaire showed that the QANCP is a valid and reliable instrument to measure adolescents' communication with their parents in online and offline formats. It was established that there is a connection between the characteristics of child-parent relations in adolescence and the hierarchy of communication needs of "adolescent-parent" communication online and offline.

Improved Communication-Free Coordinated Control of VSC-MTDC Integrated Offshore Wind Farms for Onshore System Frequency Support

To reduce the adverse influence of communication time delay, the DC voltage of offshore converters is usually employed as input signals of existing communication-free frequency support schemes of offshore wind farms (OWFs). However, the offshore DC voltage varies with the output power of OWFs, this distortion will deteriorate the frequency support performance. To address this issue, an improved communication-free coordinated control (ICFCC) scheme of VSC-MTDC integrated OWFs for frequency support is proposed. The ICFCC scheme involves the onshore frequency variation into the DC voltage deviation once frequency events occur, and an estimator is proposed to obtain the onshore DC voltage in offshore VSC stations to provide fast frequency support and reduce the distortion influence. Meanwhile, to obtain better support performance, the frequency support power is allocated reasonably by regulating droop coefficients adaptively, more power will be injected via the station closer to the disturbing bus. After frequency support, the offshore wind turbines will recover their rotor speed with asymptotic control to reduce second frequency drop. Case studies are carried out on the 4-terminal and 5-terminal test systems, respectively, while considering the parameter uncertainties and noise disturbance. Different control methods are compared to illustrate the effectiveness of the ICFCC scheme.

Soft Computing Algorithm-Based Intelligent Fuzzy Controller for Enhancing the Network Stability of IPS

The work furnished in this paper projects the application of fuzzy-aided tilt-integral-derivative (TID) with filter (TIDF) for regulating the dynamical behavior of the electrical interconnected power system (IPS) during uncertain conditions. The optimal design of the fuzzy TIDF is performed using the efficient soft computing technique of the water cycle algorithm (WCA). The suggested fuzzy TIDF controller performance is tested on the multi-area diverse source realistic (MADSR) IPS (MADSRIPS) subjected to control area 1 with step load disturbance (SLD) of 10%. Moreover, the analysis carried out on MADSRIPS is considered with the communication time delays (CTDs) for the investigation near to realistic environment. The efficacy of fuzzy-aided TIDF is contrasted with reported controllers available in literature, and the simulation analysis is acquired from the framework of MATLAB, which revealed the sovereignty of the suggested controller. Later, the MADSRIPS is operated with the integration of a HVDC line in conjunction with the tie-line to improve the performance.

DTQFL: A Digital Twin-Assisted Quantum Federated Learning Algorithm for Intelligent Diagnosis in 5G Mobile Network.

Smart healthcare aims to revolutionize med-ical services by integrating artificial intelligence (AI). The limitations of classical machine learning include privacy concerns that prevent direct data sharing among medical institutions, untimely updates, and long training times. To address these issues, this study proposes a digital twin-assisted quantum federated learning algorithm (DTQFL). By leveraging the 5G mobile network, digital twins (DT) of patients can be created instantly using data from various Internet of Medical Things (IoMT) devices and simultane-ously reduce communication time in federated learning (FL) at the same time. DTQFL generates DT for patients with specific diseases, allowing for synchronous training and updating of the variational quantum neural network (VQNN) without disrupting the VQNN in the real world. This study utilized DTQFL to train its own personalized VQNN for each hospital, considering privacy security and training speed. Simultaneously, the personalized VQNN of each hospital was obtained through further local iterations of the final global parameters. The results indicate that DTQFL can train a good VQNN without collecting local data while achieving accuracy comparable to that of data-centralized algorithms. In addition, after personalized train-ing, the VQNN can achieve higher accuracy than that with-out personalized training.

Development of a Workflow Management System for Higher Education: A case study of the Department of Mathematical and Computer Sciences, Fountain University, Osogbo.


 Abstract— The growing complexity of academic and administrative processes in educational institutions necessitates an efficient and streamlined approach to managing workflows effectively. The research work presents the development of a cutting-edge Workflow Management System (WMS) designed to cater to the needs of the Department of Mathematical and Computer Sciences. The WMS is built using Flutter, a popular cross-platform framework, and Firebase, a scalable and cloud-based backend service. These challenges underscore the importance of a tailored WMS that can centralize communication, automate tasks, and enhance productivity. This research project encompasses a systematic approach, beginning with requirements gathering through observation and prototyping, followed by the design and development phases. Agile development principles were employed to ensure flexibility and adaptability throughout the project life-cycle. The outcomes of the research work, including any improvements made based on user feedback. This research has significantly improved communication efficiency, task allocation, and time management. Users reported increased collaboration, reduced delays, and better organization of academic and administrative activities and the potential to improve the efficiency and accuracy of collaboration management within the department and enhance the user experience for both the collaboration department and the college community. The developed workflow Management System proved valuable for the department, addressing their needs and streamlining their workflows. The successful integration of Flutter and Firebase showcased the potential of modern technologies to revolutionize traditional processes in educational institutions.

Event‐triggered adaptive consensus control of nonlinear multi‐agent systems with unknown control directions and actuator saturation

AbstractThis article addresses the event‐triggered adaptive consensus control of nonlinear multi‐agent systems with unknown control direction and actuator saturation. A new robust adaptive control algorithm based on an event‐triggered mechanism is designed. The smooth Lipschitz function approximates the saturated nonlinear function, while the Nussbaum function handles unknown control directions and residual terms. The event‐triggered mechanism is designed to determine the time of communication, significantly reducing the communication burden. An additional estimator is utilized to deal with unknown parameters involved in neighbor dynamics and prevent information exchange to consistency errors between connected subsystems. The results show that all the signals of the closed‐loop system are uniformly bounded, and the consensus tracking error converges to a bounded set. Meanwhile, Zeno's behavior is eliminated. Simulation results confirm the superiority of the proposed method.