Interaction Strategies Research Articles

A Phenomenological Inquiry of the Shift to Virtual Care Delivery: Insights from Front-Line Primary Care Providers.

The rapid deployment of virtual primary care visits served as a first-line response to COVID-19 and can now be examined for insights, particularly as virtual care is playing an ongoing role in patient care and consultations. Input from primary care providers directly responsible for virtual care delivery is needed to inform policies and strategies for quality care and interactions. The overarching goal of this research study was to examine the use of virtual care as a mechanism for primary healthcare delivery. A phenomenological approach investigated the shift in primary care service delivery as experienced by primary care providers and initiated during the COVID-19 pandemic. Focus groups were conducted with primary care providers (n = 21) recruited through email, advertisements, and professional organizations, exploring how virtual care was delivered, the benefits and challenges, workflow considerations, and recommendations for future use. Integrating virtual care was performed with a great deal of autonomy as well as responsibility, and overwhelmingly depended on the telephone. Technology, communication, and workflow flexibility are three key operational aspects of virtual care and its delivery. Providers highlighted cross-cutting themes related to the dynamics of virtual care including balancing risk for quality care, physician work/life balance, efficiency, and patient benefits. Primary care providers felt that virtual care options allowed increased flexibility to attend to the needs of patients and manage their practice workload, and a few scenarios were shared for when virtual care might be best suited. However, they also recognized the need to balance in-person and virtual visits, which may require guidelines that support navigating various levels of care. Overall, virtual care was considered a good addition to the whole 'care package' but continued development and refinement is an expectation for optimizing and sustaining future use.

Photothermal graphite phase carbon nitride membrane intercalated with polyoxovanadate for efficient solar steam generation

Graphite phase carbon nitride (GCN) has shown promising prospects in diverse fields due to its exfoliating two-dimensional (2D) layered structure, adjustable electronic properties, wide absorption of visible light, and excellent chemical stability. It is crucial to accurately regulate and functionalize the intercalation space of 2D membrane materials for specific functions. Herein, we demonstrate the first GCN-based photothermal membrane for efficient solar steam generation. The polyoxovanadate anion was intercalated in between protonated GCN layers via an electrostatic interaction strategy, which enlarged the layer spacing up to ∼12.4 Å and increased the water and salt ions transport capability. Owing to the excellent photothermal conversion efficiency of polyoxovanadate, the polyoxovanadate-intercalated GCN membrane fabricated by suction filtration exhibited effective absorbance in full solar spectrum (>95.5 %) and achieved efficient solar steam generation (2.62 kg m−2 h−1 under 1 sun) when floating on water. The long-term durability test showed that the evaporation performance is stable and no salt precipitation observed. These findings not only expand the functional applications of carbon nitride materials, but also provide a new strategy for solar desalination.

Optimization Strategies for Real-time Energy Management of Electric Vehicles Based on LSTM Network Learning

The orderly control of electric vehicle load can improve the load characteristics of regional power grid and reduce the charging cost. Since it is impossible to predict the accurate access time and charging demand of electric vehicles in the future, it is impossible to make a global optimal arrangement for accessing the grid when electric vehicles are charging. Aiming at this problem, a real-time energy management system and optimization strategy of electric vehicle based on deep long-term and short-term memory neural network are proposed. Firstly, a three-tier electric vehicle management architecture including power grid layer, regional energy management system and charging station energy management system is constructed to manage large-scale electric vehicles in layers and regions; Then, a region station interaction strategy based on deep long-term and short-term memory neural network is proposed. The historical optimal solution solved by historical load information is used to train the learning network to guide the new real-time optimization; The proposed strategy can further reduce the charging cost and improve the peak valley characteristics of regional load on the premise of ensuring the charging demand of users. Finally, a simulation example is given to verify the effectiveness and superiority of the proposed layered architecture and management strategy.

Teknis Komunikasi Dalam Peluang Usaha Photography Di Prince Studio Photography Padang

This final assignment of scientific paper writing is conducted to understand the communication efforts that can be observed in a professional interaction. In this case, the author focuses observations with the title "Observation of Technical Communication in Photography Business Opportunities at Prince studio photography Padang". It is a final study of scientific work aimed at exploring and analyzing the communication interactions that occur within the photography business environment, specifically at Prince studio photography Padang. In this context, the AIDDA theory (Attention, Interest, Desire, Decision, Action) is used as a framework to understand the communication process that occurs between the photography studio and its potential customers. This scientific paper uses a structured participant observation method to collect data. The results of the scientific paper show that in efforts to build relationships with customers, the photography studio uses the AIDDA theory as a communication technique, starting from attracting attention, generating interest, creating desire, encouraging decision-making, to prompting purchase actions. Additionally, it was also found that aspects such as visual impression, personal interaction, and marketing strategies play a significant role in influencing the effectiveness of communication in the context of photography business.

STATE REGULATION OF THE ICT SECTOR IN UKRAINE IN THE CONTEXT OF TECHNOLOGICAL TRANSFORMATION OF THE ECONOMY

The paper deals with the understanding of government strategies for regulating the ICT industry. The purpose of the study is to rationalise the directions of government regulation of the ICT industry in Ukraine in the context of technological transformation of the economy. Using the methodology of descriptive statistics, the authors revealed the rapid growth of the number of employees in the ICT industry in Ukraine. The authors conclude that, from the point of view of state regulation, given the fact that employment has proved to be the main factor in the success of exports, it is necessary to prevent the outflow of labour from Ukraine. This is confirmed by the competitive advantages gained by Ukrainian ICT workers in the global market, namely: price – the cost of Ukrainian coders' services is close to the prices of Indian coders and seven times less than the cost of coders' services in the US; diversity and high quality of technological competencies that allow flexible implementation of high-level ICT projects; its own research and development base, as well as materials and technologies for the implementation of complex knowledge-intensive projects, flexibility in the use and distribution of necessary resources; cultural and geographical proximity to Europe. Based on this, strategies for interaction between the state and the ICT sector are being developed. First, the state needs to create favourable conditions for the sustainable development of the industry, including reforming legal norms, improving investment policy, modernising labour legislation, strengthening the protection of intellectual property rights, and ensuring the return of labour from abroad. Second, to create comfortable conditions to reduce the outflow of intellectual resources abroad and strengthen Ukraine as a brand in the IT sector in the eyes of the international community. The main strategies for the formation of mechanisms for state support of information services are as follows: the emergence of a modern IT infrastructure accessible to all, improving the quality of information services; a strategy for creating a regulatory framework for the effective use of the network economy; a strategy for creating state indicators of the development of the network economy; a strategy for creating information security in network systems.

An empirical analysis of the impacts of live chat social interactions in live streaming commerce: A topic modeling approach

The popularity of live streaming is driving the emergence of a new business model, known as live streaming commerce (LSC). The live chat service serves as a key indicator of viewer engagement in LSC shows, differentiating LSC significantly from traditional e-commerce. In this paper, we collect a rich live streaming dataset and identify two categories of social interactions behind live chat: transaction-oriented and relationship-oriented. Broadcasters and viewers in the transaction-oriented category focus on products and transactions and tend to communicate with non-emotional words in live chats. In contrast, broadcasters and viewers might treat each other as friends and are more likely to post emotional words in the relationship-oriented category. Our econometric model shows a curvilinear association between relationship-oriented social interactions and viewer purchase behaviors. The empirical analysis indicates that to achieve higher sales, LSC broadcasters should make relationship-oriented social interactions in live chat account for 58.64% of the probabilities. We discuss the implications of heterogeneous social interaction strategies across different broadcasters.

Current Challenges of International Legal Regulation of EAEU — China Partnership in Transport and Logistics

At the current stage of development of international relations, when factional trends in the foreign policy of such significant world leaders as the European Union and the United States are only gaining momentum, China has become the main strategic partner for Russia likewise for the EAEU. Due to the introduction of international sanctions against both China and Russia, reorientation of economic cooperation and, therefore, transportation and logistics routes to the East seems to be the most correct development paradigm. However, at the current level of development of science and technology, it is necessary to expand and intensify the formation of the array of international legal legislation to create an effective basis for legal regulation of the transport and logistics industry for the growth of synergistic effect of integration processes in the Eurasian space.Aim. To analyze various aspects of international legal regulation of the ways of integration of the EAEU and China in the transport and logistics sphere to increase the level of economic interaction between the partner countries.Tasks. It is proposed to consider the main trends in the formation of an array of international legal acts aimed at creating a basis for effective cooperation between China and the EAEU in the current geopolitical conditions, taking into account the need to develop advanced regulation of the introduction of digital technologies, including the development of logistics platforms, to create conditions for seamless cargo transportation in the Eurasian region.Methods. The study used formal-legal and comparative-legal methods, deduction, synthesis, induction, as well as abstraction and system method.Results. The necessity to develop unified regulatory requirements both in the sphere of technical operation of different types of transport and the creation of a regulatory framework for the development of conjugate EAEU-China transport and logistics digital infrastructure, providing seamless multimodal transportation to obtain a synergistic effect from the economic integration of the Eurasian region was substantiated.Conclusions. The comprehensive diagnosis of the effectiveness of international partnershop between the EAEU and China in transport and logistics proposed by the authors of the study will allow to adjust the existing strategy of interaction between the countries and increase the efficiency of Eurasian integration through the implementation of measures aimed at the development of seamless logistics.

A DEEP DIVE INTO GRADUATE STUDENTS’ SELF-EFFICACY AND ACADEMIC INTERACTION IN ONLINE LEARNING

Research into self-efficacy has received widespread recognition in the literature. However, little study has been done on students’ self-efficacy in asynchronous online academic interactions. This study examined graduate students’ self-efficacy in regulating their online interaction strategies. Grounded in the Asynchronous Online Self-Regulated Learning Inventory (AOSRLI), the study employed a virtual case study using an online self-assessment survey and focus group interview. Seventy-eight English education master students from two universities were approached and agreed to participate in the study. As a result, the study highlighted several critical findings: 1) lack of confidence in online interaction with the professors, 2) closed-mindedness to criticism, 3) self-fanaticism, and 4) the need for self-dialoguing and self-navigation. The students were commonly inactive, indifferent, and demotivated in their asynchronous online interactions, thus creating ineffective learning communication among them. Self-regulated learning cannot grow alone and rely on the students’ in-person learning initiatives, whereas they need pedagogical imperatives to scaffold their questioning, responding, and critiquing skills. The study suggests improving teachers’ scaffolding strategies and building students’ online community of practice to promote their activeness, engagement, and participation. The implication of this study calls for the inclusion of asynchronous virtual interaction skills into online learning pedagogy and CALL teacher education.

A Comparative Study of Traditional and Quiz Team-Type Cooperative Learning Approaches on Students' Academic Performance in Geography

This Classroom Action Research conducted at Madrasah Aliyah Negeri Asahan, Asahan Regency, in the academic year 2018/2019, investigates the efficacy of the Quiz Team Type Cooperative Learning Model (QTCLM) on enhancing student engagement and academic performance in Anthroposphere studies within class XI-IPS2. Specifically, it aims to assess: (1) the variation in student learning activities, and (2) the improvement in student learning outcomes following the QTCLM implementation. The research, adopting a Class Action Research (CAR) methodology, involved the entirety of the XI-IPS2 class, comprising 28 students. Data were amassed utilizing indirect communication techniques and systematic observation, subsequently analyzed through descriptive quantitative methods. Findings reveal a notable escalation in student learning activities from an initial 56.84% in Cycle I to 69.99% in Cycle II post-QTCLM application. Concurrently, student learning outcomes exhibited a significant rise from 71% in Cycle I to 87% in Cycle II. This improvement indicates that the objectives of classical completion have been satisfactorily achieved. The results corroborate the action hypothesis posited at the outset of the study: Implementing the QTCLM in teaching Anthroposphere material in class XI-IPS2 at MAN Asahan effectively enhances student participation and academic achievement, ensuring a minimum of 85% classical completeness. This research underscores the potential of interactive and cooperative learning strategies in fostering a more engaging and fruitful educational environment.

Hysteresis-free, fatigue-resistant and self-adhesive conductive hydrogel electronics towards multimodal wearable application

Conductive hydrogel-based electronic skins (e-skins) have attracted great attentions in health monitoring, human-machine interactions, and soft devices. Yet, broad challenges still remain in manufacturing of high-performance units, ingenious assembly of devices and developing of multimodal applications. Here, a typical strategy of combined covalent crosslinking and dynamic non-covalent interaction (multiple hydrogen bonds and electrostatic complexation) is used to prepare the ultra-durable polyacrylic acid (PAA)/ chitosan (CS)/ Ti3C2Tx (MXene) conductive hydrogel. It exhibits matched modulus for human skin, subtle mechanical hysteresis behavior (η=0.27% of 200% stretch, energy loss coefficient), great fatigue-resistant stability (>99%, 400% strain), robust interface adhesion (∼30 kPa) and essential biocompatibility. Benefited of such high performance, a series of hydrogel-based devices are further assembled to demonstrate the multi-mode and multi-scenario applications, including the strain and temperature sensors, triboelectric nanogenerator. Clearly, thereby this work provides a new toolbox for the rational design of high-performance hybrid hydrogel, and points out a general route for further hydrogel-based device assembly and multimodal applications.

Pendekatan Kebijakan Lokal (Local Wisdom): Awig-Awig Dalam Pengelolaan Sumber Daya Pesisir Di Provinsi NTB

Coastal resource management in the West Nusa Tenggara (NTB) Province has faced various challenges, ranging from environmental degradation to resource use conflicts. The approach of local policies or local wisdom emerges as a potential solution to address these issues. This study aims to examine how local wisdom can be integrated into coastal resource management policies in NTB. The method used involves observation and literature review. The findings indicate that local wisdom, such as awig-awig in the West Nusa Tenggara Province and interactive communicative strategies in Sumbawa, holds great potential in enhancing ecological intelligence and sustainable coastal resource management.

Automatic Marker Generation to Similarity Based Region Merging Algorithm using Edge Information

One of the most important tasks in computer vision is image segmentation. Several interactive strategies are utilized for picture segmentation because automated techniques are difficult for this kind of work. The outcome of interactive methods is mostly determined by user input. Obtaining excellent interactions for huge datasets is challenging. However, automated picture segmentation is starting to play a significant role in image analysis and computer vision. Effective and efficient segmentation outcomes are obtained using the interacting region merging method suggested by Maximal Similarity based region merging algorithm. Limitation of MSBRM is it requires some efforts on the part of users and is yet not a fully-automatic approach. Here, we suggest a completely fresh unsupervised image segmentation method that combines edge information with MSBRM. We propose an integrated framework to generate object markers for similarity based region algorithm using edge information. Long edges give rough distribution of objects in image. After retrieving edges using phase congruency, edge processing operations are employed to remove small edges and to group color similar long boundaries. Centroids of long boundaries are used as object markers to the MSBRM algorithm. The generation of object markers is done using edge segment grouping. These object markers guide the region merging process. The proposed method shows its effectiveness in segmenting natural real world color images.

Integrated analysis of intestinal microbiota and transcriptome reveals that a coordinated interaction of the endocrine, immune system and gut microbiota response to heat stress in Litopenaeus vannamei

Due to the ongoing global warming, the risk of heatwaves in the oceans is continuously increasing while our understanding of the physiological response of Litopenaeus vannamei under extreme temperature conditions remains limited. Therefore, this study aimed to evaluate the physiological responses of L. vannamei under heat stress. Our results indicated that as temperature rose, the structure of intestinal and hepatopancreatic tissues was damaged sequentially. Activity of immune-related enzymes (acid phosphatase/alkaline phosphatase) initially increased before decreased, while antioxidant enzymes (superoxide dismutase and glutathione-S transferase) activity and malondialdehyde content increased with rising temperature. In addition, the total antioxidant capacity decreased with rising temperature. With the rising temperature, there was a significant increase in the expression of caspase-3, heat shock protein 70, lipopolysaccharide-induced tumor necrosis factor-α, transcriptional enhanced associate domain and yorkie in intestinal and hepatopancreatic tissues. Following heat stress, the number of potentially beneficial bacteria (Rhodobacteraceae and Gemmonbacter) increased which maintain balance and promote vitamin synthesis. Intestinal transcriptome analysis revealed 852 differentially expressed genes in the heat stress group compared with the control group. KEGG functional annotation results showed that the endocrine system was the most abundant in Organismal systems followed by the immune system. These results indicated that heat stress leads to tissue damage in shrimp, however the shrimp may respond to stress through a coordinated interaction strategy of the endocrine system, immune system and gut microbiota. This study revealed the response mechanism of L. vannamei to acute heat stress and potentially provided a theoretical foundation for future research on shrimp environmental adaptations.

Efektivitas Penggunaan Teknologi dalam Meningkatkan Strategi Pembelajaran Interaktif di Kelas

In education in the 4.0 era, teachers should pay attention to the strategies used in the learning process and also the technology coverage that helps to facilitate the application of learning so that the learning goals formulated are well achieved. Interactive learning strategies can support learning processes with the use of technology as a learning medium. In this paper, the author uses the study of literature (Library Research) by collecting data from various sources such as books, scientific journals, dissertations, and online sources related to the effectiveness of the use of technology in enhancing interactive learning strategies. Conclusion The interactive learning strategy is an approach that encourages students to think critically, share opinions, and conduct research on their own questions. The use of media and technology, such as video and animation, can also improve learning effectiveness. Video enables students to understand material better, while animation can arouse students' interest in learning.

Exploring Interactivity Strategies in Social Media Communications of Leading Universities: A Cross-Continental Study

Social media has become an important tool for universities to implement strategies to promote, position and differentiate their brand identity, to establish and foster the communicative relationship with their stakeholders. This study explores the interactivity strategy developed in digital communication by 70 leading universities from Europe, the United States and Latin America. A specific quantitative methodology was designed to analyze the universities’ social media publications (90,241). The general communicative approach and the communication resources applied were studied through quantitative content analysis. Results show that the universities have an informational approach in their publications on social networks, with little differences among regions and platforms. Expositive and interactive resources are being used in a broad, integrated manner although there are some differences in each region and social network. Thus, the universities opt for a monological interactivity strategy in their digital institutional communication, with little differences between social networks. They are changing toward a model that continues to prioritize dissemination of information, but it is evolving toward more combination of various communication resources that make content more attractive to their publics. This research provides insights into interactivity strategies used by universities on social networks to develop effective digital communication strategies for enhancing engagement with publics.

Rehydration of degraded wetlands: Understanding drivers of vegetation community trajectories

AbstractDegradation of wetland ecosystems results from loss of hydrologic connectivity, nutrient enrichment, and altered fire regimes, among other factors. It is uncertain how drivers of wetland ecosystem processes and wetland vegetation communities interact in reversing the ecological trajectory from degraded to restored conditions. We analyzed biogeochemical and vegetation data collected in wetlands of the Florida Everglades at the start of (2015) and during (2018 and 2021) the initial stages of rehydration. Our objectives were to analyze the allocation of carbon and nutrients among ecosystem compartments and correlated trajectories of vegetation community change following rehydration, to identify the drivers of change, including fire, and analyze macrophyte species‐specific responses to drivers. We expected to see changes in vegetation toward more hydric communities that would differ based on wetland baseline conditions and the magnitude of the hydrologic change. During the study period, both length of inundation and surface water depth increased throughout wetlands in the region, and four fires occurred, which affected 51% of the sampling locations. We observed biogeochemical shifts in the wetland landscape, driven by both hydrology and fire. Total phosphorus concentrations in soil and flocculent detrital material decreased, while soil carbon:phosphorus and nitrogen:phosphorus mass ratios increased at sites further away from water management infrastructure. Transitions in vegetation communities were driven by an increase in hydroperiods and by the distinct changes in nutrient concentrations or soil stoichiometric ratios in each subregion. The abundance of macrophyte species typical of short‐hydroperiod prairies strongly decreased, while dominant long‐hydroperiod species, such as Eleocharis cellulosa, expanded. Fire facilitated the expansion of thickly vegetated plumes of invasive Typha at sites close to the water inflow sources. Overall, restored hydrology shifted vegetation community composition toward higher abundance of long‐hydroperiod species within six years. In contrast, removal of invasive vegetation controlled by soil phosphorus concentrations will likely require long‐term and interactive restoration strategies.

Teachers' Experiences of Using Play and Al's Pals to Teach Socio-Emotional Skills Through Coaching Support Models

Interactive teaching strategies provide opportunities for engaging children in discussing difficult concepts such as socio-emotional wellbeing and wide range of ideas about their social and personal lives. However, few studies have explored preschool teachers’ efficacy of using coaching through ‘Play and puppetry programs as approaches to developing children’s emotional regulation, socio-emotional learning and wellbeing. This paper reports on a “Labyrinth Project” aimed to gain in-depth understandings of preschool teachers’ experiences and perspectives pertaining to their efficacy of using play and puppetry as tools to promote children’s emotional learning and development. The results showed that despite early challenges with the use of these two teaching strategies, coaching and professional development facilitated a progression from feelings of inadequacy to confidence to teach social emotional skills using play and puppetry. At the end of the second year of this three-year project, children demonstrated improved cognitive skills in managing their emotions. Suggestions are made on how to improve the project to achieve high quality outcomes.

Utilizing process drama in education: a study of pedagogical perceptions

Language pedagogy currently remains an evolving field for teachers, scholars, and researchers as the world is advancing towards AI and other technologies, but accordingly it still poses difficulties and problems of authenticity and suitability. A number of strategies and methodologies have been used by different educational psychologists and applied linguists, but pedagogues still face problems with classroom pedagogy. The strategies and methodologies that have evolved in English pedagogy aim to develop procedures and concepts for designing materials which can be utilized in classrooms. The purpose of developing theories for the classroom is to develop the communicative competence of students, which is unfortunately not currently achieved due to the heterogeneous nature of classrooms. Process drama, unlike other instructional methods, attempts to amalgamate various language skills in pedagogy. It is devoted to targeting productive and receptive language skills. The research aims to elicit responses from teachers regarding the use of PD in the language classroom. The participants (46) were chosen randomly for this study, and a mixed method was employed by the researchers, using a questionnaire consisting of closed and open-ended questions. The findings of the study revealed that PD is an engaging, interactive and communicative pedagogical strategy that brings the desired learning results.

Critical interactional strategies for selecting candidate translations in online translation tools in collaborative EFL writing tasks

With the increased frequency in the use of online translation tools (OTTs), such as Google Translate, in the foreign language classroom, teachers are reported to be concerned about students’ overdependence on these tools, their potential detrimental effects on learning, ethical issues of using them inappropriately and students’ lack of skills to use them critically. Thus, this study sets out to investigate the basis of teachers’ scepticism empirically by analysing OTT search sequences that display critical interactional strategies, where students reject the first translation option(s) offered by an OTT. The data analysed come from 22 h of video data of collaborative writing tasks, tracked using multimodal conversation analysis. The findings revealed five critical OTT strategies deployed to resolve emergent lexical issues. However, the pairs of students varied greatly in their use and range of critical OTT strategies, suggesting the need for explicit training in using different strategies.

Conversational AI: An Explication of Few-Shot Learning Problem in Transformers-Based Chatbot Systems

With the recent advancements in conversational artificial intelligence (AI), the practical applications of chatbots have risen significantly in diverse domains such as healthcare, education, e-government, customer support systems, social platforms, and entertainment. The chatbot converses with humans in natural language and responds to their queries with precise and relevant answers. The relevant literature presents several methods for intent classification and slot mapping for chatbot question answering. However, the existing chatbot architectures still suffer from few-shot learning problem (imbalance ratio of class labels over samples) and ineffective dialog management to retain the context and slots mapping. This study aims to introduce the architecture of chatbot by focusing few-shot learning problem and context management in dialog-based conversations. First, to mitigate the few-shot learning problem with chatbots, we propose a novel hybrid intent and slots transformers (HIST) model. The HIST chatbot architecture utilizes transformers and self-attention mechanisms along with bigated recurrent unit and combines conditional random field algorithms for intent classification and slot extraction. Second, to address dialog management, we introduce a hybrid interaction strategy for slots mapping and effective conversational context management. To validate the proposed model’s effectiveness, comprehensive empirical analysis is carried out using three benchmark datasets including airline travel information system (ATIS), banking77, and conversational language interface for natural conversation 150 (CLINC150). The results show that HIST outperforms against the state-of-the-art existing methods with a clear margin and obtained an accuracy of 94.89% and 96.17% for intent classification and slots extraction, respectively. The empirical results confirm the effectiveness of the HIST chatbot for resolving the few-shot learning problem with effective dialog management in chatbot systems.