Interaction Strategies Research Articles

Safer Sexting Strategies in Technology-Mediated Sexual Interactions: Findings from a National Study

Abstract Introduction While there is extensive research on safer sex, few studies have investigated safer sexting practices. The main objective of this study is to examine the range of security behaviors that individuals adopt in technology-mediated sexual interactions. Methods Three studies collected data on social safety, concealment strategies, and technical security in technology-mediated sexual interactions from participants aged 14–75 in Austria and Germany in 2020 and 2022 (Ntotal = 13,070). Patterns in the data were identified via descriptive statistics and regression analysis. Results The most common precautions of people who used safer sexting strategies were hiding one’s face (46%), only engaging with digital sex partners that are personally known (41%), and negotiating boundaries of consensual sexting (29%). Binomial regression results show that a sexual minority identity, BDSM preference, frequent contact with sexual communities, and prior experiences of unwanted sexting were associated with adopting a wider variety of safer sexting practices. Conclusions The results suggest that the safety strategies used in technology-mediated sexual interactions vary across social groups. Social context factors such as community involvement are associated with the likelihood of safer sexting. Policy Implications Knowledge about safer sexting helps minimize harm in technology-mediated sexual interactions. Safer sexting messages aimed at reducing risk and shame should be included as part of community-based safer sexting education and should be tailored to specific target groups including LGBTIQA+ individuals. Policymakers should support interventions that enhance those social environmental factors that contribute to building trust and consent in technology-mediated sexual interactions.

You recommend, I trust: the interactive self-presentation strategies for social media influencers to build authenticity perception in short video scenes

You recommend, I trust: the interactive self-presentation strategies for social media influencers to build authenticity perception in short video scenes

Effectiveness of caring behaviours course on decision-making and caring behaviours in undergraduate nursing students: An experimental study.

Although caring is a core principle of the nursing profession, students often lack the knowledge, comprehension and ability to integrate care into all aspects of nursing practice. Students may have few opportunities to practise caring behaviours on patients who create the impression of providing care and elicit a feeling of receiving care. Studies of strategies to enhance caring behaviours in nursing education are limited. This experimental study aimed to examine the effect of nursing caring behaviours course based on interactive learning strategies on the caring behaviours and decision-making abilities of nursing students. A purposive sample of 50 undergraduate students was recruited from a faculty of nursing. Students in the intervention group (n = 24) received 2 h of training per week for 14 weeks in accordance with caring behaviours course based on interactive learning strategies including discussion, brainstorming, concept mapping, reflection and simulation training. Nursing students in the control group (n = 26) received training according to other elective courses in the curriculum. Data were measured at the baseline time point, 7th week and 14th week with the Caring Behaviours Inventory and Nursing Decision-Making Instrument. Chi-square test, Mann-Whitney U-test, Friedman test and mixed repeated measures ANOVA were used to assess the data. No significant difference was determined in terms of baseline caring behaviours and decision-making scores between the intervention and control groups (p > 0.05). A significant difference in caring behaviours between the two groups and time effect was not found (p > 0.05). However, there was a significant interaction between time and groups (F = 3.484, p = 0.047). There was a significant increase in the decision-making in intervention groups over time (F = 9.372, p < 0.001) and interaction between time and groups (F = 4.160, p = 0.019). A deliberate strategy to raise students' awareness of caring behaviours and incorporate interactive learning methods into education enhances both caring behaviours and clinical decision-making.

Second Harmonic Generation from exciton-polaritons: Strong coupling between monolayer WS[formula omitted] and multilayer WSe[formula omitted] metasurfaces Quasibound states in the continuum

The second harmonic generation (SHG) from exciton-polaritons, produced by the strong coupling between quantum emitters and cavity photons, can provide a unique insight for controlling nonlinear responses on the nanoscale. Achieving SHG generally depends on phase matching, limited by nonlinear materials and nanostructure fabrication. Here, we demonstrate a novel way to obtain tunable SHG from van der Waals metasurfaces composed of nanostructured multilayer WSe2 strong coupling with monolayer WS2. By breaking symmetry via varying the metasurface unit tilted angle and period, quasibound state in the continuum (q-BIC) mode resonances energy is tuned across the monolayer WS2 exciton resonance energy, enabling anticrossing behavior of strong coupling in both reflection spectrum and SHG spectrum, which means that SHG was successfully observed by strong coupling. Furthermore, the SHG spectrum can be tuned by changing the armchair direction of the monolayer WS2 and pump polarization direction. Moreover, the mechanism of exciton-polaritonic SHG is investigated by a coupled nonlinear oscillator model, which reveals the SHG origin from exciton-polaritons, providing a new rule for fine-tuning the SHG. Our work provides a new strategy and additional freedom in the nonlinear light-matter interaction and coherent control of the SHG in integrated photonic devices.

Vulnerabilidades socioambientais na pesca artesanal: desafios e conquistas para Territórios Saudáveis e Sustentáveis em Pernambuco

ABSTRACT This study adopted a theoretical-methodological perspective anchored in the Ecosystem Approach to Health, the Social Reproduction of Health, and the Social Determinants of Health to analyze the socioenvironmental vulnerability and health of populations exposed to crude oil during the COVID-19 pandemic and present pathways for comprehensive community reparation. We employed action research as a strategy for dialogic interaction with the subjects of the territories and the construction of emancipatory experiences in the struggle for health, the environment, and sustainable development. We presented a general outlook on the social determination of the health of small-scale fishing communities and the promotion of community-institutional dialogues. The results reinforce the need for environmental health studies that combine academic knowledge with the wisdom of water peoples in the pursuit of truth, justice, and reparation. To do so, it is necessary to unveil environmental injustice, racism, and conflicts, engaging in dialogue about the development model and neo-extractivism in society as essential challenges and opportunities for promoting Healthy and Sustainable Territories.

Planning Steps of The Orientation Period and Competency Improvement for Employees Appropriately

This study aims to explore the appropriate planning steps for orientation and competency enhancement of employees based on the in-service training model with an andragogical approach. Andragogical approach considers the characteristics of adult learning, allowing for the development of more effective learning strategies in the workplace context. The research methodology employed is a literature review and analysis of various in-service training models implemented in different organizations. The findings highlight key steps in planning orientation and competency enhancement, including identifying training needs, developing relevant curricula, devising interactive teaching strategies, and ensuring ongoing evaluation. The practical implications of this research involve the development of planning guidelines to assist organizations in designing and implementing effective and relevant in-service training programs for employee development.

Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment

In high dimensional environment, the interaction among particles significantly affects their movements in searching the vast solution space and thus plays a vital role in assisting particle swarm optimization (PSO) to attain good performance. To this end, this paper designs a random contrastive interaction (RCI) strategy for PSO, resulting in RCI-PSO, to tackle large-scale optimization problems (LSOPs) effectively and efficiently. Unlike existing interaction mechanisms for low-dimensional problems, RCI randomly chooses several different peers from the current swarm to construct a random interaction topology for each particle. Then, it lets the particle interact with the selected peers based on their current evolutionary information instead of their historical evolutionary information. Within the topology, RCI only propagates the evolutionary information of two contrastive dominators with the largest difference in fitness to direct the evolution of the particle. Therefore, particles with no more than two dominators in their topologies are not updated. Furthermore, a dynamic topology size adjustment scheme is devised to gradually enlarge the interaction topology. In this way, the swarm gradually switches from exploring the immense search space dispersedly to exploiting the found optimal regions intensively as the evolution continues. With these two strategies, RCI-PSO expectedly compromises search diversity and search convergence well at the swarm level and the particle level. At last, extensive experiments executed on two public LSOP suites verify that RCI-PSO performs competitively with or even much better than totally 40 state-of-theart large-scale approaches and preserves a good capability and scalability in tackling complex LSOPs.

New Horizons for Clinical Practice and Competence: Applying Game-Based Learning in Nursing Education

Game-based teaching strategies enrich nursing education by enhancing the appeal and practicality of teaching activities. Different from the high-pressure and serious nature of traditional nursing education, interactive and entertaining teaching strategies that employ board games, card games, escape rooms, virtual reality, scratch cards, Kahoot quiz competitions, and other innovative methods better motivate learners to engage actively with learning content and retain nursing knowledge and practices, resulting in better learning outcomes. Game-based teaching strategies not only strengthen learners' mastery of core nursing concepts but also enhance their decision-making and critical-thinking abilities. In this article, practical applications of game-based teaching are introduced, in hopes that, by applying these instructional approaches, educators can alleviate the stress of the learning process and make learning more efficient and enjoyable for students.

Electrocatalytic CH4 production from CO2 by SiO2-induced amorphous CuOx

CH4, as an important clean fuel and hydrogen carrier, its production from CO2 driven by renewable energy could simultaneously achieve energy supply, CO2 emission reduction, and renewable energy consumption, which is of great significance. Electrocatalytic CH4 production relies on high-valence Cu species for realizing multielectron reduction, while facing inadequate performance stability due to the reconstruction tendency of Cu. Herein, an amorphous CuOx-SiO2 catalyst (amorCuOx-SiO2) is synthesized via an electrostatic interaction strategy to construct stable Cu2+ active sites for efficient electrocatalytic CH4 production. AmorCuOx-SiO2 shows a good reconstruction resistance during electroreduction, confirmed via X-ray absorption spectroscopy studies, endowing a 63.7% CH4 faradaic efficiency at 500 mA cm−2, which is 7.8 folds of crystalized CuOx-SiO2 (crysCuOx-SiO2). Theoretical calculations revealed that stable Cu2+ active sites enhanced *CO adsorption and were more susceptible for further hydrogenation, thus promoting the CO2-to-CH4 conversion. Our findings provide a feasible strategy for developing reconstruction-resistant electrocatalysts for advanced CH4 production performance.

Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics.

For a steam heating network (SHN), which is one of the most important parts of the integrated energy systems in an industrial park, it is essential to provide accurate and reliable estimation of hydraulic and thermal states, to ensure its operational safety and economy. Considering two different time-scale characteristics of the hydraulic and thermal processes in the SHN, this article proposes a mechanism and data-driven dual estimation method for the coupling hydraulic-thermal dynamic states. Due to the fact that the existing coupled estimation methods with one time scale may suffer from heavy computational burden, a data-driven dual sequential acrlong DSE method of the SHN is proposed based on the two-time scales, in which the dynamics of slow thermal states can also be captured when performing the acrlong SE of the fast hydraulic process. Furthermore, to improve the computational and communicational efficiency, a distributed interaction strategy based on the nodal transformation matrix is designed for large-scale steam systems. To verify the effectiveness of the proposed method, a single pipeline system and two real-world industrial superheated steam networks are employed. Compared to other state-of-the-art methods, the proposed method achieves the best tradeoff between the estimation accuracy and computational efficiency.

APPLICATION OF INTERACTIVE LEARNING STRATEGIES TO IMPROVE STUDENT LEARNING OUTCOMES (Pre-Eksperimen Pada Mata Pelajaran PKn Kelas XI MIPA di MA Al-Barokah Kecamatan Malangbong Kabupaten Garut)

This study aims to determine the application of interactive learning strategies in improving student learning outcomes in the subject of Citizenship Education (PKn) class XI MIPA MA Al-Barokah Malangbong. The place of this research is in Al-Barokah MA, Malangbong subdistrict, Garut regency. This type of research uses a quantitative method in the form of a pre-experimental design type of one group pretest-posttest design. The results showed an increase in student learning outcomes, as evidenced by the jump from the average pretest score of 58.77 in the category below the Minimum Completeness Criteria (KKM) to the posttest average score of 80.90 in the category beyond the Completeness Criteria Minimum (KKM). In addition, a gain value of 0.51 was obtained through the normalized gain test which placed this interpretation in the medium category with the percentage of student learning outcomes 36.7% indicating a high increase, 13.3% indicating no increase or being in a fixed category, 40% showed a moderate increase and 10% showed a low increase. Therefore, the application of interactive learning strategies can improve student learning outcomes.

CODE SWITCHING AS POLITENESS STRATEGIES IN EFL CLASSROOM INTERACTION

Code switching and Politeness strategy are elements of communication that significantly influence classroom interaction. This paper was to reveal code switching including the reason of code switching as well as how it functions as politeness strategy in EFL classroom interaction. This study adopted a qualitative descriptive method. This research was based on the observation conducted in Universitas Negeri Makassar, in 2022. The research subject was 2 English Education classes that employed group presentation as the learning strategy. It consisted of 31 students for each class. To collect the data, the researcher recorded the classroom presentation. The recordings were then transcribed and analyzed by using discourse analysis approach. The reason of code switching was analyzed based on the theory by Hoffman (1991), and the politeness strategy was based on the rule of Politeness strategy by Brown and Levinson (1987). The result showed that code switching was used by students as politeness strategy during group presentation, and it was reflected in some maxims that were maxim of manner, maxim of relation, quality maxim, and quantity maxim. Finding of this research was significant in expanding ideas and insight about code switching that is actually can be used as politeness strategy in classroom interaction, particularly in group presentation.

Terra Incognita: The Governance of Artificial Intelligence in Global Perspective

While generative AI shares some similarities with previous technological breakthroughs, it also raises unique challenges for containing social and economic harms. State approaches to AI governance vary; some lay a foundation for transnational governance whereas others do not. We consider some technical dimensions of AI safety in both open and closed systems, as well as the ideas that are presently percolating to safeguard their future development. Examining initiatives for the global community and for the coalition of open societies, we argue for building a dual-track interactive strategy for containing AI's potentially nightmarish unintended consequences. We conclude that AI safety is AI governance, which means that pluralist efforts to bridge gaps between theory and practice and the STEM–humanities divide are critical for democratic sustainability.

Optimizing hybrid energy storage: A multi-objective approach for hydrogen-natural gas systems with carbon-emission management

This article addresses the challenges of load curve variability in integrated energy systems (IES) and emphasizes carbon neutralization in response to global environmental concerns. It introduces a game-theoretic approach to understand the collaborative dynamics within an integrated energy-hydrogen system (HGESS). The study develops a collaborative game model for the IES-HGESS partnership, focusing on carbon neutralization considerations. Using game theory, it investigates the determinants shaping this partnership and extends to create a hybrid model for day-ahead and real-time markets. To foster enduring cooperation, the study introduces a cooperation profit coefficient and devises an income distribution strategy for HGESS-IES interactions. A load management program is incorporated to reduce costs and enhance profitability. Addressing complexity and constraints, the article introduces an advanced multi-objective particle swarm optimization method. Tested on a sample system under various conditions, the results demonstrate that the alliance between IES and HGESS can significantly enhance net profits, achieving mutual benefit and a win-win outcome while advancing sustainability in energy management.

From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory

The introduction of ChatGPT in academia has raised significant concerns, particularly regarding issues like plagiarism and the ethical use of generative text for academic purposes. Existing literature has predominantly focused on ChatGPT adoption, leaving a notable gap in addressing the strategies users employ to mitigate these emerging challenges. To bridge this gap, this research utilizes the Uncertainty Reduction Theory (URT) to formulate user strategies for reducing uncertainty. These strategies include both interactive and passive approaches. Concurrently, the study identifies key sources of uncertainty, which include concerns related to transparency, information accuracy, and privacy. Additionally, it introduces the concepts of seeking clarification and consulting peer feedback as mediating roles to facilitate reduced uncertainty. We tested these hypotheses with a sample of Indonesian users (N = 566) using structural equation modeling via Smart-PLS 4.0 software. The results confirm that interactive Uncertainty Reduction Strategies (URS) are more effective in reducing uncertainty when using ChatGPT compared to passive URS. Transparency concerns, information accuracy, and privacy concerns are identified as factors that increase the level of uncertainty. In contrast, consulting peer feedback is the most effective strategy for reducing uncertainty compared to seeking clarification at the individual-system level. Insights from the mediating effects confirm that consulting peer feedback significantly mediates uncertainty sources to reduce uncertainty. The study discusses various strategies for the ethical use of ChatGPT by users in the educational context and contributes significantly to theoretical development.

Analyzing the NetEase CloudMusics Marketing Campaign

The Internet's innovation has had a profound impact on NetEase CloudMusic's development and marketing strategy adjustments. This paper examines the 2017 "Music Review Train" campaign, which NetEase CloudMusic and Hangzhou Metro launched, with the goal of identifying the strategic factors that led to its success. Based on the marketing mix theory of 4Is, this paper applies the campaign as a case and employs relevant data and literature. This paper found that the success of the campaign was primarily due to the application of an interesting strategy by selecting interesting music reviews as advertising content. This paper suggests exploring the interests of different audience groups in the future and collaborating with popular film and television intellectual property (IP). The second reason is the application of an interaction strategy, which allows for offline and online interaction with users. It is suggested that in the future, emphasis can be placed on the operation of new media platforms and the opening of offline shops to offer an interactive experience. This paper hoped to provide a reference for upgrading the marketing strategy of NetEase CloudMusic to improve the communication effect and brand image and thus contribute to the brands future development.

A Pragmatic Analysis of Flattering in Some Selected Literary Texts

This study aims at conducting a pragmatic analysis of speech acts expressing flattering in some selected literary texts (Hamlet). Flattering is used to express encouragement, which is false positive evaluation. Flattering assumes the effect of the listener’s feelings, actions and thoughts via the speech acts offlattering. Flattery is a social phenomenon that treads a fine line between acceptable and unacceptable social behavior and brings forward the strategic element of language use. Although flattery was studied in different areas but pragmatic literature has not addressed the phenomenon, despite its potential to inform the interpretive process participants engage in when evaluating politeness strategies in interactions. A pragmatic methodology was used to collect the data. The results of this study show how the characters judge an action to be flattery, what (verbal) acts count as flattery, and the functions of flattery in interactions.

A Human-Computer Interaction Strategy for An FPGA Platform Boosted Integrated "Perception-Memory" System Based on Electronic Tattoos and Memristors.

The integrated "perception-memory" system is receiving increasing attention due to its crucial applications in humanoid robots, as well as in the simulation of the human retina and brain. Here, a Field Programmable Gate Array (FPGA) platform-boosted system that enables the sensing, recognition, and memory for human-computer interaction is reported by the combination of ultra-thin Ag/Al/Paster-based electronic tattoos (AAP) and Tantalum Oxide/Indium Gallium Zinc Oxide (Ta2O5/IGZO)-based memristors. Notably, the AAP demonstrates exceptional capabilities in accommodating the strain caused by skin deformation, thanks to its unique structural design, which ensures a secure fit to the skin and enables the prolonged monitoring of physiological signals. By utilizing Ta2O5/IGZO as the functional layer, a high switching ratio is conferred to the memristor, and an integrated system for sensing, distinguishing, storing, and controlling the machine hand of multiple human physiological signals is constructed together with the AAP. Further, the proposed system implements emergency calls and smart homes using facial electromyogram signals and utilizing logical entailment to realize the control of the music interface. This innovative "perception-memory" integrated system not only serves the disabled, enhancing human-computer interaction but also provides an alternative avenue to enhance the quality of life and autonomy of individuals with disabilities.

Strategi Pemasaran Digital Makanan Berat: Pembelajaran dari Praktek Kewirausahaan Mahasiswa STIKES Santa Elisabeth Medan 2024

The digital era has transformed marketing strategies in various industries, including culinary. This research examines the implementation of digital marketing strategies in selling heavy food by STIKES Santa Elisabeth Medan students as part of entrepreneurial practice. Involving 7 students who run an online culinary business for one day. Data is obtained through sales performance analysis. The results show that the use of social media and e-commerce websites increases market reach by 50% and sales by 35% compared to conventional methods. Personalized and interactive content strategies have proven to be the most effective, with engagement rates averaging 20% ​​higher. Key challenges include consistent management of digital platforms and adaptation to social media algorithms. Students also face difficulties in time management between studies and business. And also students who are carrying out activities also experience significant improvements in digital marketing and online business management skills. In conclusion, digital marketing provides great opportunities for students to develop entrepreneurial skills and improve culinary business performance. This research provides insight into effective digital marketing strategies for small-scale food businesses and can be a reference for entrepreneurship programs in universities

P2P Optimization Operation Strategy for Photovoltaic Virtual Power Plant Based on Asymmetric Nash Negotiation

Under the guidance of the “dual-carbon” target, the utilization of and demand for renewable energy have been growing rapidly. In order to achieve the complementary advantages of renewable energy in virtual power plants with different load characteristics and improve the rate of consumption, an interactive operation strategy for virtual power plants based on asymmetric Nash negotiation is proposed. Firstly, the photovoltaic virtual power plant is proposed to establish the optimal scheduling model for the operation of the virtual power plant, and then the asymmetric Nash negotiation method is adopted to achieve the fair distribution of benefits. Finally, the ADMM distribution is used to solve the proposed model in the solution algorithm. The simulation results show that the revenue enhancement rates are 28.27%, 1.09%, and 12.37%, respectively. The participating subjects’ revenues are effectively enhanced through P2P power sharing. Each subject can obtain a fair distribution of benefits according to the size of its power contribution, which effectively improves the enthusiasm of the PV virtual power plant to participate in P2P interactions and thus promotes the development and consumption of renewable energy.