Integration Process Research Articles

Mentoring Towards Information Communication and Technology in Utilizing Electronic Media for Bachelor of Teaching Livelihood Education Students in Eastern Visayas State University

The study aimed to determine the effects of mentoring towards Information Communication Technology (ICT) integration process in teaching Trainer's Methodology I in Facilitating Learning, specifically on competency-based learning materials on Utilizing Electronic Media in Facilitating Learning. In this process, interaction among the mentors and the mentees are encouraged to improve their work-based practice. The quasi-experimental design used specifically the pretest-posttest method. The module and pre-posttest exam used in this study constructed by the researchers. The mentees’ participation had determined, and modifications in teachers ICT’ integration indicators have analyzed. Observation and result of pre-test and post-test data described for skill and proficiency level of the mentees before and end of peer mentoring activity. The results indicated that the mentees in the experimental group show a noticeable improvement in their scores from pretest to posttest. The respondents compared to the controlled group which there is no significant difference between the pretest mean scores in ICT mentoring among Bachelor in Teaching Livelihood Education (BTLEd) students in the experimental groups. A significant result between the posttest means scores in ICT mentoring among BTLEd students in the experimental and control group and finally, using the mentoring approach in ICT to BTLEd students is more effective than using the traditional methods of teaching the same lesson.

Timecourse of bottom-up and top-down language processing during a picture-based semantic priming task

ABSTRACT Understanding spoken language requires rapid analysis of incoming information at multiple levels. Information at lower levels (e.g. acoustic/phonetic) cascades forward to affect processing at higher levels (e.g. lexical/semantic), and higher-level information may feed back to influence lower-level processing. Most studies have sought to examine a single stage of processing in isolation. Consequently, there is a poor understanding of how different stages relate temporally. In the present study, we characterise multiple stages of linguistic processing simultaneously as they unfold. Listeners (N = 30) completed a priming task while we collected their EEG, where a picture (e.g. of a peach) biased them to expect a target word from a minimal pair (e.g. beach/peach). We examine the processes of perceptual gradiency, semantic integration, and top-down feedback, to yield a more complete understanding of how these processes relate in time. Then, we discuss how the results from simplified priming paradigms may compare to more naturalistic settings.

Integration of Agile Technologies in Internal Audit

The study is devoted to the processes of integration of Agile technologies in internal audits. It was determined that Agile is a method and a way of thinking simultaneously, which ensures timeliness of receiving information, quick response to risks, and acceleration of audit cycles, thanks to which the effect of value creation is achieved for both top management and stakeholders. The analysis of statistical studies of the implementation of Agile technologies allowed the authors to conclude that the Agile approach is increasingly used in enterprises to achieve planned results, and to single out key changes in the concepts of internal audit, which became possible thanks to the implementation of the Agile approach. It is noted that there is no single path for transitioning to the use of Agile methodology for all organisations. In addition, such a transition can cause difficulties associated with rethinking the audit process. That is why the authors attempted to unify the work cycles of the internal Agile audit.

Unique Features of the EAEU Interregional and Crossborder Cooperation

The article is devoted to the analysis of the main distinctive features of interregional and cross-border cooperation at the current stage of integration in the EAEU. It is shown that today the development of interregional and cross-border cooperation in the association is considered to be one of the priorities that contribute to deepening and ensuring the dynamism of integration processes. The intensification of initiatives at the intergovernmental level in this field dates back to the 2020s. However, up to the present, despite quite a deep degree of economic integration of the EAEU members, the sphere of interregional and cross-border cooperation remains insufficiently institutionalized and is of recommendatory nature. The association lacks multilateral agreements and cooperation mechanisms aimed at developing interaction specifically at the regional level. The main emphasis in the analysis is made on the fact that the current state of interregional and cross-border cooperation is asymmetrical, which is revealed in the following aspects – unequal degree of importance of cross-border cooperation for the participating countries, heterogeneity of the scale and nature of interregional cooperation, unequal level of autonomy of regions in the member states, divergence in applied formats of interaction, significant regional divergence in socio-economic development. It is concluded that in order to overcome such asymmetry and fragmentation, it is essential to have flexible multilateral mechanisms as well as financial and information institutions, the activities of which will contribute to the development of horizontal ties and economic connectivity at the regional level

SCENOGRAPHY DESIGN IN A DIRECTOR’S ARTISTIC PRACTICE

The paper describes a methodology of designing scenography for a contemporary theatrical performance in the academic process. The systematic approach to artistic visualisation of a performance, modernisation of its structure, selection of scenography functions, style and type of design widen the range of the director’s interaction with the audience as well as contributes to effective management of the creative process from the stage of the artistic concept design through to its implementation. The method of depicting compositional schemes to design action development helps individual types of art interweave with the director’s concept, develop creative thinking and cope with numerous management challenges. Designing diverse parts of staging paves the way to developing students’ skills of comprehending the processes of integration of arts and technologies. The “directing scenographic concept” method contributes to the integration of the director’s and the artist’s professional activities, helps to express a creative idea in a groundbreaking form, and turns into an effective tool of innovative design and management of a theatrical performance.

ЕНЕРГЕТИЧНИЙ РИНОК УКРАЇНИ : СТВОРЕННЯ УМОВ ДЛЯ ЕФЕКТИВНОГО ЕНЕРГОЗАБЕЗПЕЧЕННЯ

The article analyzes the theoretical foundations of the formation of energy security on the energy market of Ukraine in the context of European integration processes, and states that energy security is a component of the state's national security. The main advantages of long-term contracts for all energy market participants are indicated. Features of the functioning of consumer companies in the competitive market are highlighted. The main risks for large consumers when working on the day-ahead market are presented. Factors of the expediency of functioning on the balancing segment are given. Current trends in the development of world energy and their impact on energy security are analyzed. The necessity of diversification of energy supply sources for Ukraine is substantiated. The influence of the European integration processes on the reform of the energy sector of Ukraine is studied. The current state of the energy market was analyzed, and the analysis of factors affecting development trends and ensuring protection in the energy market was carried out. The influence of the European integration processes on the reform of the energy sector of Ukraine is studied. The conjuncture of the energy market of Ukraine is determined, in which it is necessary to analyze not only the peculiarities of the domestic sphere, but also the influence of international relations, international trade and the world market. The PEST analysis of the energy industry of Ukraine is presented, which allowed to identify the level of influence and the neighborhood of the group of influencing factors on the formation of the strategic potential of the energy market of Ukraine. Directions for increasing the level of energy security through modernization of the energy infrastructure, development of renewable energy sources, and integration into the European energy space are proposed. It is noted that the creation of conditions for the effective use of internal resources and the development of appropriate technologies are of strategic importance. The country's government is working on integration into the European energy community, which requires compliance with European standards and the implementation of effective management models of the energy market of Ukraine. According to the results of the strategic potential of the energy industry of Ukraine, economic factors exert the greatest influence - 1.147, which just emphasizes the important role of the energy industry in the country's economy. In second place in terms of influence are political factors - 0.847. The analysis of the market just showed the rather important role of the political component in the functioning of the energy market of Ukraine, namely in the aspect of its joining the European energy market and the transformation of Ukraine into the European Union with the rights of an equal state. In third place are technological factors - 0.553, which confirm Ukraine's determination to decarbonize the energy market. And the fourth place is occupied by socio-cultural factors - 0.537, which are only marginally inferior to technological factors. This indicates a strong influence of consumer preferences when choosing interaction models in the market.

Getting to the situation: the N400 can indicate meaning integration beyond word priming

ABSTRACT Can integration processes during reading be detected in the N400 time window? Although many results have supported this possibility, recent research controlling for semantic priming concluded that only word-meaning retrieval is detected in the N400 [Delogu, F., Brouwer, H., & Crocker, M. W. (2019). Event-related potentials index lexical retrieval (N400) and integration (P600) during language comprehension. Brain and Cognition, 135, 103569. https://doi.org/10.1016/j.bandc.2019.05.007]. We report three experiments designed to detect N400 integration effects by encouraging situation-level comprehension, manipulating integration difficulty through event congruence. Experiments 1 and 2 created narrative texts and questions targeting attention to event structures, showing priming but no additional integration effects. In Experiment 3, readers formed mental images, updating their mental model with each sentence. The results show integration effects during the N400 window and later around 600 ms, indicating both priming and message-level integration effects can emerge in the N400 when readers engage in situational comprehension.

Vibration reduction of an electric vehicle heat exchanger by controlling the polarization of its ferroelectric ceramics

The growing requirements in terms of CO2 emissions reduction in transports renders necessary the development of new electric traction technologies. This results in new technical constraints for equipment manufacturers, forcing them to reduce the acoustic emissivity of their new products inside and outside vehicles. Heat exchangers for electric cars are part of this new product category. High voltage supplied by the battery of electrical vehicles requires introduction of a new energy conversion process and technology. To this end, components based on ceramics containing barium titanate (BaTiO3) with high electrocaloric coupling properties are selected to provide the heating function. Baryum titanate is ferroelectric. This category of materials is subjected to piezoelectric and electrostrictive effects. The vibrations induced in the components (rods) containing the BaTiO3 ceramics are transmitted through the system, and cause undesired acoustic radiation. This coupling is a suffered effect and is not taken into account in the integration process during the rods manufacturing. In this study, an experimental characterization is proposed to identify the involved electromechanical coupling coefficients. Numerical simulations of the vibrations induced by BaTiO3 are carried out and used to study the possibility of attenuating them by controlling the polarisation of the ceramics or by geometric modifications.

Revisiting reverberation formulae

In 1992, the author proposed a generalization of Sabine's formula that develops reverberation time over a series of powers of the reflection coefficient on the boundaries. Some years later, he reduced the development to just two terms that made it possible to monitor reverberation times up to large absorptions. The present paper revisits this development and justifies it with the help of free path statistics in 3D rectangular enclosures. It proves that Kuttruff's reverberation formula is a special case of the general formula, but diverges for large absorption. Reverting to Kuttruff's original integration process leads to a formula that does not diverge. The paper further explains the difference between Eyring-type reverberation times that vanish for total absorption, and Sabine-type reverberation times that never vanish even for total absorption, and proposes a simple scheme for evaluating the asymptotic free path statistics and thus improving reverberation time prediction. Lastly, the approach is extended to non-ergodic enclosures.

Synaptic weight dynamics underlying memory consolidation: Implications for learning rules, circuit organization, and circuit function

Systems consolidation is a common feature of learning and memory systems, in which a long-term memory initially stored in one brain region becomes persistently stored in another region. We studied the dynamics of systems consolidation in simple circuit architectures with two sites of plasticity, one in an early-learning and one in a late-learning brain area. We show that the synaptic dynamics of the circuit during consolidation of an analog memory can be understood as a temporal integration process, by which transient changes in activity driven by plasticity in the early-learning area are accumulated into persistent synaptic changes at the late-learning site. This simple principle naturally leads to a speed-accuracy tradeoff in systems consolidation and provides insight into how the circuit mitigates the stability-plasticity dilemma of storing new memories while preserving core features of older ones. Furthermore, it imposes two constraints on the circuit. First, the plasticity rule at the late-learning site must stably support a continuum of possible outputs for a given input. We show that this is readily achieved by heterosynaptic but not standard Hebbian rules. Second, to turn off the consolidation process and prevent erroneous changes at the late-learning site, neural activity in the early-learning area must be reset to its baseline activity. We provide two biologically plausible implementations for this reset that propose functional roles in stabilizing consolidation for core elements of the cerebellar circuit.

Integrating second home owners into conservative rural communities in a developing country

The integration of second home owners into rural communities poses a complex challenge that remains little addressed in conservative developing countries’ context. Guided by integration theory, this qualitative study explores the integration of second home owners in Iran. The findings demonstrate that second home owners’ integration processes are manifested in three distinct forms: environmental-physical, socio-cultural, and mental-psychological. These types of integration significantly influence the dynamics of tourism development and community cohesion in the studied rural communities. Overall, this research contributes to integration theory by exploring second home owner adaption to rural environmental, sociocultural norms and deepens understanding of the social implications of second home ownership within conservative rural communities. The study also expands knowledge of place attachment and identity formation by investigating how the presence of second home owners influences the identity and sense of place for both tourists and local residents. By recognizing the complex nature of integration, the findings offer practical implications for improving the integrating second home owners into rural destinations.

The relationship among the innovation environment, transactive memory system of the R&D team, and knowledge collaboration

The innovation environment is the basis for the operation of the innovation ecosystem. In an era where knowledge resources are increasingly recognized as core assets, the advent of transactive memory system (TMS) has significantly enhanced the knowledge collaboration among R&D (Research & Development) teams, thereby boosting their innovation performance. Based on the empirical analysis of 235 valid questionnaires, this paper explores the relationship among the innovation environment, R&D Team's TMS, and knowledge collaboration. The results show that: (1) the Innovation environment has a direct and significant positive effect on the team's TMS and knowledge collaboration; (2) Team's TMS has some direct and significant positive effects and mediating effects on Knowledge Collaboration, and the Coordination of team's TMS has no significant effect on the Knowledge Integration process of Knowledge Collaboration; (3) The innovation environment can indirectly affect the knowledge collaboration process through the Specialization and Credibility of the TMS. This study further enriches the relevant research in the field of knowledge management and provides theoretical support and countermeasures for enterprises to promote innovation and development by optimizing knowledge management.

Aperiodic EEG Predicts Variability of Visual Temporal Processing.

The human brain exhibits both oscillatory and aperiodic, or 1/f, activity. Although a large body of research has focused on the relationship between brain rhythms and sensory processes, aperiodic activity has often been overlooked as functionally irrelevant. Prompted by recent findings linking aperiodic activity to the balance between neural excitation and inhibition, we investigated its effects on the temporal resolution of perception. We recorded electroencephalography (EEG) from participants (both sexes) during the resting state and a task in which they detected the presence of two flashes separated by variable interstimulus intervals. Two-flash discrimination accuracy typically follows a sigmoid function whose steepness reflects perceptual variability or inconsistent integration/segregation of the stimuli. We found that individual differences in the steepness of the psychometric function correlated with EEG aperiodic exponents over posterior scalp sites. In other words, participants with flatter EEG spectra (i.e., greater neural excitation) exhibited increased sensory noise, resulting in shallower psychometric curves. Our finding suggests that aperiodic EEG is linked to sensory integration processes usually attributed to the rhythmic inhibition of neural oscillations. Overall, this correspondence between aperiodic neural excitation and behavioral measures of sensory noise provides a more comprehensive explanation of the relationship between brain activity and sensory integration and represents an important extension to theories of how the brain samples sensory input over time.

Adaptive Output Formation Tracking for Nonlinear Multiagent Systems With Double Semi-Markovian Switching Topologies and Time-Varying Actuator Faults.

This article investigates adaptive output formation tracking control of nonlinear multiagent systems with time-varying actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies. Considering the dynamic changes of communication connections in uncertain environments, a double semi-Markov process is first introduced into the leader-follower structure to describe the random switching of communication topologies. Then, a novel adaptive distributed fault-tolerant output formation tracking control framework is established using the backstepping and Nussbaum gain technique to address matched/mismatched uncertainties and disturbances, time-varying actuator faults, and unknown nonidentical control directions. In this control framework, the independent variable of the Nussbaum function is designed as a non-negative function that monotonically increases with respect to time, thereby overcoming the presence of the absolute value of its derivative in the integration process. Based on the distributed structure, an adaptive fault-tolerant controller is further proposed to achieve the asymptotic output formation tracking in mean-square sense. The stability of the closed-loop nonlinear multiagent systems is analysed through the contradiction argument and Lyapunov theorem. The simulation example verifies the effectiveness of the proposed control strategy.

Design and Implementation of Energy-Aware Integration Mechanisms for IoT-Cloud Architectures: Enhancing Efficiency in Resource-Constrained Environments

This study paper suggests a way for the Internet of Things (IoT) and Cloud computing to work together that is smart about energy use. The goal is to solve the problem of IoT-Cloud integration's energy efficiency, which is important for making sensor nodes last longer and making sure that data transfer continues over time. The first step in the process is to plan the IoT nodes and give each sensor node a unique ID and a starting energy level. To make data safer, a homomorphic encryption method is used to make public and private keys. The integration process uses a good Cluster Head Selection Technique that has Random, Energy-Based, Distance-Based, and Density-Based methods to make sure that the sensor nodes are grouped together in the best way possible. The sensor nodes send data to the base station through cluster heads, which use homomorphic encryption to make the connection safe. The public key is used to hash each data packet before it is sent to the cluster head. The cluster head then sends the packets to the base station through the Cloud. At the base station, the data hash is checked one at a time, and then the data is decrypted. This makes sure that the data is correct and safe while it is being sent. Comparing time and energy use across different systems and node numbers is part of the performance assessment. The results show that System 4 did better than the others in terms of how much energy it used and how efficiently it transferred data. This shows that the proposed system can effectively handle IoT-Cloud integration. System 4 kept 28,848 units of energy after starting with 29,442 units, showing that it was much more energy efficient. The results show that using techniques that are aware of energy in IoT-Cloud systems can greatly improve performance. This study adds to the growing body of research on integrating IoT and the cloud by showing a safe, effective, and energy-conscious method that sends data while using the least amount of energy possible.

Current state of tourism human resources in Bac Ninh Province, Vietnam

In recent years, the development of the tourism industry has been contributing to promoting economic restructuring, while preserving and promoting the value of cultural heritage and natural resources; creating many jobs, improving people's lives; accelerating the process of international integration, promoting the image of the country and people of Vietnam. To continue promoting the achievements of the tourism industry, it is necessary to promote all resources of the industry, approach new trends and transform appropriately in the context of the impact of the current epidemic situation. In particular, developing tourism human resources, especially high-quality ones, is a direction in line with the trend of international economic integration. Human resources play a key role in determining the success or failure of tourism businesses. However, developing a high-quality human resource team for tourism is still a difficult problem. Keywords: Human Resources, Tourism, Human Resources

Framework for LLM applications in manufacturing

In the era of Industry 4.0, the proliferation of data within manufacturing environments has presented both unprecedented opportunities and challenges. This paper introduces a framework that capitalizes on the capabilities of Large Language Models (LLMs) to revolutionize data integration and decision-making processes in manufacturing systems. Addressing the critical need for efficient data management, our framework streamlines the consolidation, processing, and generation of responses to essential inquiries, thus enhancing manufacturers’ capabilities to extract valuable insights. The focus of this paper is twofold. First to establish a framework for the use of LLM applications in manufacturing settings. Secondly, to provide an overview of the manufacturing connection between data, AI, and chat-bots, while also addressing a few pain points identified from the manufacturing literature. The paper then introduces FILLIS (Factory Integrated Logic and Language Interface System), a Large Language Model assistant, through a compelling case study. FILLIS showcases remarkable versatility, excelling in tasks ranging from elucidating machine operations to language translation. The study underscores FILLIS’s proficiency in handling specific contexts, answering questions from uploaded documents with precision. However, inherent limitations surface in tasks involving mathematical operations, emphasizing the need for external agents in specific scenarios. This pivotal opportunity is explored in the proposed framework as it advocates for integrating external agents alongside LLMs, creating a more versatile and comprehensive assistant tool. The findings of this paper and proposed framework position LLMs as transformative tools for intelligent data processing.

An Investigation of MERGING Image Schema: A Cognitive Semantic PerspectiveThis study is based on the content analysis method. It is qualitative, descriptive and analytical. Its main goal is to explore MERGING Image Schema as it is one of the image schemas that are recognized as significant constituents in humans’ cognitive system and their creative thinking. Image schema theory can be

This study is based on the content analysis method. It is qualitative, descriptive and analytical. Its main goal is to explore MERGING Image Schema as it is one of the image schemas that are recognized as significant constituents in humans’ cognitive system and their creative thinking. Image schema theory can be considered as an advanced way of inspection into a nonobjective and sensorimotor experiences. This image schema is dealt with by scholars who are interested in cognitive studies but in this study, the researchers attempt to introduce and involve many authentic perspectives and formalizing new subcategories to it in addition to setting up their visual representations as a way of schematizing their structures and explaining their unique cognitive models. The study comes up with important conclusions. The most essential one is that MERGING image schema can be described as consisting of entities that have kinetic energy. These entities are flexible involved in a SOURCE-PATH-GOAL schema caused by a FORCE to integrate these entities, thus to be in CONTACT and then MERGING together into an entirely new entity either in its internal or external structure or evolving features of the original constitutive entities. Consequently, this schema involves sequential processes of integration and addition.

An initial approach to industry 5.0

Industry 5.0 focuses on human-system collaboration and a more integrated approach to manufacturing and services. Digital twin is a technological advancement positioned to propel Industry 5.0 by making way for newer implementations and greater cyber-physical connections within a system. Digital twins will lead the way as Industry 5.0 encourages a closer integration of digital and physical systems. They will act as a link between the digital and physical worlds, giving each, real-time information and insights. Within Industry 5.0, digital twins are essential for establishing communication between the digital and physical realms as well as for facilitating human-autonomous system cooperation and cohabitation. Industry 5.0 highlights the requirement for adaptable manufacturing to satisfy specific client needs. Manufacturing processes can be swiftly and effectively adjusted with the use of digital twins. Industry 5.0 relies heavily on digital twins to help businesses adapt to the changing manufacturing environment and use data-driven insights to increase productivity, flexibility, and human-robot collaboration. The aspects of industry such as the commissioning and the automation of the Industrial Work floor processes are to be integrated with the digital twin. The digital twin allows for the virtual commissioning and integration of humans through interactive mixed reality that transcends the user experience making the process of integration and data (instruction) transfer seamless. The main focus of the paper was on utilizing the digital twin for the connection of various aspects of an industrial factory to establish control and real time monitoring for a Cyber-physical system. The digital Twin of a material handling system was developed and used for virtual commissioning and Mixed Reality integration and exploration.

Exploration and multi performance evaluation of process intensification for separation of ethyl tert-butyl ether/ethanol from wastewater

Ethyl tert-butyl ether is a green gasoline additive that enhances fuel efficiency and can play an essential role in improving fuel performance. This study explored the separation of wastewater containing ethyl tert-butyl ether and ethanol by changing the pressure and adding reactions based on extractive distillation, using the synergistic effect of the entrainer, pressure, and chemical reaction. By utilizing coupling technology and process intensification concepts, developed a comprehensive series of intensified processes that have clarified the interaction mechanisms between the extractive distillation process (EDP), pressure swing extractive distillation process (PSEDP), and reactive extractive distillation process (REDP). Studying the separation and purification mechanisms of products and intermediates during the reaction process provides theoretical and practical support for optimizing chemical processes. Comparative analysis showed that the reactive extraction pressure swing distillation process (REPSDP) had preeminent economic and environmental benefits. The total annual cost of PSEDP, REDP, and REPSDP was reduced by 5.88 %, 1.68 %, and 10.08 %, respectively, compared with EDP. The gas emissions of PSEDP, REDP, REPSDP, and REPSDP with heat integration process (HI-REPSDP) are all lower than those of EDP. HI-REPSDP saves 47.59 % of gas emissions compared to EDP, highlighting its environmental benefits. HI-REPSDP has the best energy efficiency, reducing energy consumption by 47.58 % compared to EDP, significantly improving the energy utilization rate. It was found that the introduction of heat integration technology had a significant improvement effect. This research has crucial theoretical and practical value and provides guidance and reference for achieving a clean and efficient production process.