Reception Of Information Research Articles

Cognitive disparity in online rumor perception: a group analysis during COVID-19.

The harmonious cognitive alignment among various netizen groups is pivotal for the spread and amplification of online rumors. This alignment, characterized by shared cognitive inclinations, fosters uniformity in attitudes and perspectives, thereby precipitating synchronized engagement in the dissemination of such rumors. Notably, discernible disparities emerge in group cognition as different types of rumors pertaining to the same event propagate. This research endeavors to dissect the roles of netizen groups through the lens of cognitive variance, thereby attaining a more profound comprehension of the distinctive traits and behavioral dynamics of various netizen factions in the context of online rumor dissemination. By integrating Bloom's taxonomy and crafting a survey questionnaire, this study captured the cognitive responses of netizens to various online rumor themes across two critical dimensions: (1) Information Cognition: exploring cognitive processing levels from basic recall to application and analysis and (2) Attitude Change: evaluating higher-order cognitive processes such as evaluating and creating in response to complex rumor scenarios. The decision tree classification algorithm was meticulously applied to dissect the catalysts behind the cognitive shifts among netizens. Additionally, the K-Means clustering algorithm was effectively utilized to categorize netizen groups along thematic lines, offering a nuanced view of their cognitive engagement. The initial impression of a rumor significantly influences netizens' final cognitive perceptions. Twelve characteristics were observed in netizen groups during the dissemination of rumors on different themes, and these groups were classified into four categories: knowledge-oriented, competition-oriented, social-oriented, and entertainment-oriented, based on their cognitive differences. Throughout the lifecycle of online rumors, from inception to dissemination, diverse netizen groups assume distinct roles, each exerting a unique influence on the spread and reception of information. By implementing tailored governance strategies that are sensitive to the characteristics of these groups, it is possible to attain substantially more effective outcomes in managing the propagation of online rumors. This nuanced approach to governance recognizes the heterogeneity of the online community and leverages it to enhance the efficacy of interventions.

ANALYSIS OF THE POSSIBILITY OF USING AN AUTONOMOUS MEASUREMENT SYSTEM AND REGISTRATION OF THE ASSESSMENT OF THE LEVEL OF PROTECTION OF THE ARMOURED VEHICLE CREW

In the context of large-scale armed aggression by the Russian Federation and growing losses from mine injuries, there is a significant need to obtain objective information about the level of protection provided by military armoured vehicles. At the same time, Ukrainian defence enterprises are constantly working to develop the latest methods to improve the protection of vehicle crews from the threat of mines and explosives. There is an acute problem and an essential need to quickly improve the mine resistance of standard models of armoured vehicles and, as a result, the need to quickly determine the effectiveness of the measures taken and make engineering decisions. The basis for the development of modern mine protection equipment should be to identify the impact of the shock wave not only on the vehicle structure, but primarily on the crew members. It is possible to evaluate the results, conduct comprehensive research and provide reasonable recommendations for further work only on the basis of the results of tests (experimental physical modelling) during which physical factors affecting the crew are measured. It is impossible to carry out the necessary measurements without the use of modern sensors (sensors) in conjunction with an information and measurement system that will ensure the reception, processing and registration of information. The main criteria for selecting sensors are sensitivity, resolution, linearity, frequency response, temperature response, noise level and long-term stability.

Communication during telemedicine consultations in general practice: perspectives from general practitioners and their patients

BackgroundTelemedicine allows delivery of healthcare to occur between parties that are not in the same location. As telemedicine users are not co-present, effective communication methods are crucial to the delivery and reception of information. The aim of this study was to explore perspectives of general practitioners (GPs) and patients on the interactional components of telemedicine consultations.MethodsSemi-structured qualitative interviews were held with telemedicine users; 15 GPs and nine patients self-selected from a larger telemedicine study. Participants were asked about their preparation for telemedicine consultations, conducting telemedicine consultations and post-consultation activities. Deidentified transcripts from the interviews were analysed thematically.ResultsGPs and patients discussed factors they used to decide whether a consultation would be best conducted by telemedicine or in-person; the condition to be discussed, the existing doctor-patient relationship and whether physical examination was required. Participants also described how they prepared for their telemedicine consultations, gathering relevant documents, and reading previous notes. Participants described strategies they employed to optimise the telemedicine interaction; improving conversational flow and building rapport, as well as difficulties they experienced when trying to provide and receive care via telemedicine.ConclusionsPatient factors including health literacy and familiarity with technology affect the transfer of information shared during telemedicine consultations and consideration of these factors when choosing patients for telemedicine is required. Many GPs and patients have innate communication skills to effectively deliver and receive care through telemedicine. However, they may not be aware of these subconscious techniques to use to optimise telemedicine consultations. Communication training could be delivered to increase conversational flow, build rapport, and establish safety netting.

Irregular IRS-aided SWIPT secure communication system with imperfect CSI

The performance of traditional regular Intelligent Reflecting Surface (IRS) improves as the number of IRS elements increases, but more reflecting elements lead to higher IRS power consumption and greater overhead of channel estimation. The Irregular Intelligent Reflecting Surface (IIRS) can enhance the performance of the IRS as well as boost the system performance when the number of reflecting elements is limited. However, due to the lack of radio frequency chain in IRS, it is challenging for the Base Station (BS) to gather perfect Channel State Information (CSI), especially in the presence of Eavesdroppers (Eves). Therefore, in this paper we investigate the minimum transmit power problem of IIRS-aided Simultaneous Wireless Information and Power Transfer (SWIPT) secure communication system with imperfect CSI of BS-IIRS-Eves links, which is subject to the rate outage probability constraints of the Eves, the minimum rate constraints of the Information Receivers (IRs), the energy harvesting constraints of the Energy Receivers (ERs), and the topology matrix constraints. Afterward, the formulated non-convex problem can be efficiently tackled by employing joint optimization algorithm combined with successive refinement method and adaptive topology design method. Simulation results demonstrate the effectiveness of the proposed scheme and the superiority of IIRS.

IoT-based Smart Agriculture Field Monitoring using Arduino Nano

The rapid developments in the Internet of Things (IoT) have enabled even individuals with limited technical knowledge to access real-time reception of information conveniently at their doorstep. Agriculture, one of the necessities for human livelihood, has been significantly enhanced with technological advancements. The study proposes an IoT-based smart agriculture field monitoring system using Arduino Nano. The device provides real-time data on temperature and soil moisture content for cultivating crops like paddy, tapioca, turmeric, etc. The system also allows farmers to get remote access to the irrigation systems, hence improving the management of the fields along with their resources.

NEED FOR RECEIVING HEALTH INFORMATION THROUGH COMMUNITY RADIO SPEAKERS IN HIEP AN WARD, THU DAU MOT CITY, BINH DUONG PROVINCE

Loudspeakers are one of the state's means of communication used to propagate policies in recent times and have been very effective, contributing to propaganda and the development of legal policies. The issue of health communication has been effectively adopted through programs on health policy and health science. In order to have a scientific basis for surveying the role of loudspeakers in the new period in urban areas, creating a basis to advise industries, especially the health sector, on the satisfaction and effectiveness of loudspeakers. clear towards the people. With 7 in-depth interview samples in qualitative research conducted in Hiep An ward, Thu Dau Mot city, about the need to use and develop a quantitative assessment toolkit in the future. The results show that the rate of information reception is quite high, the age of reception increases gradually with age, the listening time per day fluctuates but still reaches a high rate, satisfaction with loudspeakers reaches a high level and the need to receive information from community loudspeakers in the future. Conclusion: Media reception from speakers is quite high, the received content is not proactive, so the incoming information does not meet the needs of today's low-tech and diverse media society. Therefore, there is a great need for a quantitative study with a more representative sample size to demonstrate the qualitative results that this study brings and at the same time, survey the content and effectiveness of health communication content from loudspeakers.

Suppression of vortex electromagnetic wave divergence by modulating the wave front dislocation line

Abstract When the beam is transmitted in the atmosphere, under the influence of atmospheric turbulence, the beam will occur energy attenuation, wavefront distortion and other phenomena, which will seriously affect the transmission and reception of information. Based on the PB phase principle enhances the focusing capability of the auto-focusing Airy Gaussian vortex beam by regulating the wavefront error curvature of the vortex beam, and then enhances the resistance of the beam against atmospheric turbulence. The results reveal the curvature of the wavefront error curve and the peak intensity of the light field of the beam can be changed by changing the beam polarization state parameters n and m in the focal plane. The auto-focusing Airy Gaussian vortex beam with the polarization state parameters m=1, n=4 increases the peak magnitude of the light field intensity in the focal plane of the auto-focusing Airy Gaussian vortex beam with the polarization state parameters m=0, n=0 to 1.99 times. Demonstrate that geometric phase tuning the auto-focusing Airy Gaussian vortex beams can enhance resistance to atmospheric turbulence. Furthermore, this paper extends this method to the field of millimeter wave. Under the transmission distance of 1km, the peak intensity of the initial vortex electromagnetic wave after the geometric phase adjustment is increased to 3.33 times, and the receiving radius of the target surface is reduced to 0.24 of the initial vortex electromagnetic wave. It shows that geometric phase-regulated vortex electromagnetic wave can suppress vortex electromagnetic wave divergence and have potential applications in wireless communication.

Power-Efficient Resource Allocation for Active STAR-RIS-Aided SWIPT Communication Systems

Simultaneous wireless information and power transfer (SWIPT) has emerged as a pivotal technology in 6G, offering an efficient means of delivering energy to a large quantity of low-power devices while transmitting data concurrently. To address the challenges of obstructions, high path loss, and significant energy consumption associated with long-distance communication, this work introduces a novel alternating iterative optimization strategy. The proposed approach combines active simultaneous transmission and reflection of reconfigurable intelligent surfaces (STAR-RIS) with SWIPT to maximize spectrum efficiency and reduce overall system energy consumption. This method addresses the considerable energy demands inherent in SWIPT systems by focusing on reducing the power output from the base station (BS) while meeting key constraints: the communication rate for information receivers (IRs) and minimum energy levels for energy receivers (ERs). Given complex interactions between variables, the solution involves an alternating iterative optimization process. In the first stage of this approach, the passive beamforming variables are kept constant, enabling the use of semi-definite relaxation (SDR) and successive convex approximation (SCA) algorithms to optimize active beamforming variables. In the next stage, with active beamforming variables fixed, penalty-based algorithms are applied to fine-tune the passive beamforming variables. This iterative process continues, alternating between active and passive beamforming optimization, until the system converges on a stable solution. The simulation results indicated that the proposed system configuration, which leverages active STAR-RIS, achieves lower energy consumption and demonstrates improved performance compared to configurations utilizing passive RIS, active RIS, and passive STAR-RIS. This evidence suggests that the proposed approach can significantly contribute to advancing energy efficiency in 6G systems.

Research on AdHoc network routing algorithm for link stability prediction

Abstract This study aims to improve network communication efficiency and reliability by researching routing algorithms for predicting link stability in AdHo networks. AdHoc network is a self-organizing, decentralized network structure in which nodes establish temporary connections through wireless communication, making the network resilient and flexible. However, due to the continuous changes in network topology and the instability of wireless links, routing problems in AdHoc networks have become particularly complex. This article proposes a backup path routing algorithm LS-BPR based on link stability prediction. This mechanism takes the path with the minimum delay as the main path, uses the cost function as the standard for selecting backup paths, and then uses the ARIMA model to predict links with good link stability as backup paths. We simulate and compare LS-BPRAODV and AODV protocols using the QualNet simulation platform. The simulation results show that the LS-BPRAODV, with the addition of a prediction mechanism, improves network performance, reduces the number of source node routing discoveries, reduces the number of route breaks, significantly reduces the packet loss rate and information reception delay in the network, and improves the average throughput of the network. This study provides new theoretical and empirical support for the routing algorithm for link stability prediction in AdHo networks, which is of great significance for promoting the development of wireless self-organizing networks.

Кoммуникaтивтi мaқсaтқa жeтудe ақпараттың берілуі мен қабылдануы

A new language teaching technology in teaching professional texts is presented. Communicative-cognitive activity is considered as a means of communication. Establishing and maintaining productive relationships leads to communicative competence. The article tells about the works aimed at mastering the language. The improvement of new pedagogical teaching technologies is described. When achieving the goal of language competence, these issues are considered from the point of view of combining the transmission and reception of information with language activities.

Teaching bioinformatics through the analysis of SARS-CoV-2: project-based training for computer science students.

We learn more effectively through experience and reflection than through passive reception of information. Bioinformatics offers an excellent opportunity for project-based learning. Molecular data are abundant and accessible in open repositories, and important concepts in biology can be rediscovered by reanalyzing the data. In the manuscript, we report on five hands-on assignments we designed for master's computer science students to train them in bioinformatics for genomics. These assignments are the cornerstones of our introductory bioinformatics course and are centered around the study of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). They assume no prior knowledge of molecular biology but do require programming skills. Through these assignments, students learn about genomes and genes, discover their composition and function, relate SARS-CoV-2 to other viruses, and learn about the body's response to infection. Student evaluation of the assignments confirms their usefulness and value, their appropriate mastery-level difficulty, and their interesting and motivating storyline. The course materials are freely available on GitHub at https://github.com/IB-ULFRI.

Hoax News As An Ethical Violation Impact Of Information Technology Advances

The increasingly rapid development of technology must also be accompanied by the mindset of social network users to have harmony when facing changing times. Rephrase: Adjust the reception and dissemination of information using technology according to reality. It aims to describe the phenomenon of fake news (hoax) on social networks and online media and how to prevent fake news (hoax). It is used to visualize and describe data and facts about hoaxes and their spread through social media or online media. The study results show that easy and cheap technological advances are determining factors for information accessibility. Besides that, social media activists must also be more imaginative in utilizing information, especially an educated understanding of the media, which is often considered a source of truth, as well as the importance of the government's role in controlling the spread of fake news (hoax) that determines political decisions. Legal policies are regulated in the ITE Law.

Perceived need for climate information

Understanding that human activities primarily cause climate change is fundamental to driving behavioral change. However, a significant gap exists regarding its anthropogenic nature, with public understanding often lagging behind the scientific consensus. This underscores that previous efforts to bridge this gap have not been effective, highlighting that the reception of information is a complex process influenced by individual perspectives, biases, and preconceptions. Therefore, an individual’s information behavior is crucial in the interrelationship between climate science and the public. This study investigated the factors explaining individuals’ perceived need for information to form a firm opinion about climate change. It explored the roles of information gap, climate anxiety, and environmental adversity in shaping these needs. The study’s analysis is based on the 2021 Climate Change Opinion Survey (N = 76,328) from Meta’s Data for Good Program. The survey was conducted on Facebook, inviting active users aged 18 and above to participate through their news feeds. It was administered across 31 countries. For the analysis, multinomial logistic regression was employed. The results showed that a high climate information gap and anxiety are positively associated with information needs. Environmental adversity is also positively correlated with climate information needs, but one’s awareness of climate change moderated the association.

The effects of disinformation among citizens of in Spain, UK and Germany: digital platforms, topics, consequences and influence of sociodemographic factors

PurposeThe purpose of this article is to discover how false information has been received through mobile instant messaging services (MIMS), Facebook and Twitter and what sociodemographic factors have a stronger influence on the perception of the democratic effects generated by the disinformation on the citizens of three countries.Design/methodology/approachTo do this, an online survey (n = 3,019) was developed for citizens of Spain (n = 1,015), Germany (n = 1,001) and the UK (n = 1,003). The sample is stratified according to the gender, age, income and ideology of the respondents.FindingsThe results show that the reception of false information is high in all three countries, especially on Facebook. Additionally, we found that the country of origin, genre, age and ideology influence the reception of disinformation in MIMS, but not in the rest of the platforms. Considering disinformation's effects on citizens, we observe how, in general terms, those surveyed perceive disinformation effects with a medium-low intensity. In this way, citizens do not believe that false information causes substantial changes in their thinking. An increase in mistrust has been detected toward social media and mainstream media, which are not considered reliable sources of information. At this point, the respondents' country of origin, income and ideology are conditioning factors.Originality/valueThis research provides some relevant trends that help to better understand how disinformation is received on digital platforms in three countries with different political and social traditions, as well as the effects that it has had on citizens and the sociodemographic and political factors that have a greater incidence.

온라인 정치정보 수용에서 오프라인 정치참여로 : SNS 유형별 선호도 및 계정 공개 수준의 조절효과를 중심으로

온라인 정치정보 수용에서 오프라인 정치참여로 : SNS 유형별 선호도 및 계정 공개 수준의 조절효과를 중심으로

Highly Potent Transparent Passive Cooling Coating via Microphase-Separated Hydrogel Combining Radiative and Evaporative Cooling.

Transparent passive cooling materials can cool targets environmentally without interfering with light transmission or visual information reception. They play a prominent role in solar cells and flexible display cooling. However, achieving potent transparent cooling remains challenging, because light transmission is accompanied by thermal energy. Here we propose to realize effective passive cooling in transparent materials via a microscale phase separation hydrogel film. The poly(N-isopropylacrylamide-co-acrylamide) hydrogel presents light transmittance of >96% and infrared emissivity as high as 95%. The microphase-separated structure affords a higher enthalpy of evaporation. The film is highly adhesive. In field applications, it reduces temperatures by 9.14 °C compared to those with uncovered photovoltaic panels and 7.68 °C compared to those for bare flexible light-emitting diode screens. Simulations indicate that energy savings of 32.76-51.65 MJ m-2 year-1 can be achieved in typical tropical monsoon climates and temperate continental climates. We expect this work to contribute to energy-efficient materials and a carbon-neutral society.

The influence of online information on consumers’ channel migration behavior of fresh agricultural products

IntroductionCompliance with the latest patterns in online consumption of fresh agricultural products should prioritize the shifts in consumer behavior. This study aimed to clarify the influencing factors of consumers’ channel migration behavior of fresh agricultural products. While the migration of consumers’ consumption of fresh agricultural products to online channels is an undeniable fact, and this trend continues, literature on this topic remains limited.MethodsBased on SOR theory, and from the dual perspectives of information transmission and information reception, this study exploratively introduced the network affinity of consumers, and constructed the concept model of the influencing factors of consumers’ channel migration behavior of fresh agricultural products including information acquisition and risk perception. 416 valid questionnaires were used to conduct structural equation model analysis.ResultsThe results confirm that product information and platform information significantly affect consumers’ channel migration behavior of fresh agricultural products. Product information including feature information and price information has a positive influence on consumers’ channel migration behavior of fresh agricultural products. The same is true for such behavior and the platform information including service information and logistics information. Risk perception plays a partial mediating role in the influence of product information variables and platform information variables on consumers’ online purchasing and migration behavior of fresh agricultural products. Network affinity negatively moderates the causal relationship between product information and risk perception as well as that between platform information and risk perception. The effect is more pronounced for consumers with high network affinity than those with low network affinity.DiscussionThe study presented in this paper offers a replicable theoretical framework for future discussions on consumer channel migration behavior, and enriches the literature on consumer online consumption behavior. It is highly meaningful for further improving the online consumption stickiness, tapping the potential of online consumption and improving the circulation efficiency of fresh agricultural products in the post-pandemic era.

When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system

LoRa technology contributes to green energy by enabling efficient, long-range communication for the Internet of Things (IoT). This paper addresses the challenges related to coverage range in outdoor monitoring systems utilizing LoRa, where the network performance is affected by the density of gateways (GWs) and end devices (EDs), as well as environmental conditions. To mitigate interference, data throughput losses, and high-power consumption, the proposed spreading factor (SF) and hybrid (data rate|SF) models dynamically adjust the transmission parameters. The orchestration of concurrent data modifications within the network server (NS) is crucial for uninterrupted communication between GWs and EDs, especially in monitoring electric vehicle (EV) stations to reduce traffic congestion and pollution. Employing K-means and density-based spatial clustering of applications with noise (DBSCAN) algorithms optimizes ED allocation, averts data congestion, and improves the signal-to-interference noise ratio (SINR). These methods ensure seamless information reception by meticulously allocated EDs across various GW combinations. To estimate the free-space losses (FSL), a log-distance path loss model (log-PL) is used. Exploring various bandwidths (BWs), bidirectional communications, and duty cycles (DCs) helps to prevent saturation, thus prolonging the operational lifespan of EDs. Empirical findings reveal a notable packet rejection rate (PRR) of 0% for the DBSCAN (hybrid model). In contrast, the K-means exhibits a PRR ranging from 5% (hybrid model) to 35.29% (SF model) for the ten GWs combination. Notably, the network saturation is reduced to 10.185% and 9.503%, respectively, highlighting an improvement in the average efficiency of slotted ALOHA (91.1%) and pure ALOHA (90.7%). These enhancements increase the lifespan of EDs to 15,465.27 days.

Psychological Theories (Stimulus Response and Cognitive) in Arabic learning Videos (Descriptive Analysis)

Learning involves changes that occur within a person as a result of their experiences. In other words, learning involves a transformation in an individual's understanding and knowledge over time due to interaction with the environment and their experiences. Behaviorism theory, as one of the psychological foundations of language teaching, states that learning is a change in one's behavior resulting from a response to a stimulus. In contrast, the theory of cognitivism emphasizes the important role of the learner's mind in the learning process. An individual's mental processes, understanding and thinking play a major role in the comprehension and reception of information. Thus, the theory of behaviorism has a different meaning from the theory of cognitivism. In this article, the author exposes the strong connection between behaviorism and cognitivism theories in the Arabic language learning process. This article is written using descriptive qualitative method. The author presents data taken from Arabic language learning videos, which found that the theories of behaviorism and cognitivism have strong implications for the Arabic language learning process.

Time-Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration

The connected and automated car-following model can provide a model reference for the queue control algorithm of connected and automated driving and has become a hot research topic in the field of connected vehicles and intelligent transportation. A queue of fast-moving vehicles on urban roads can cause traffic congestion when forced to slow down and, in serious cases, can cause rear-impact accidents. Therefore, this paper introduces information on the time delay of information reception and processing, a collision risk quantification factor reflecting the speed characteristics of the front vehicle, and the speed limit and proposes an improved intelligent driver collision quantification model that considers drastic changes in the speed of the front vehicle. Additionally, the model parameters are calibrated using real vehicle data from urban roads combined with an improved salp swarm algorithm. Finally, the evolution rule of disturbance in the traffic flow under different states is analyzed using a time-space diagram, and the DIDM-CSCL model is compared with the classical IDM. The results show that the improved IDM can better describe the following behavior at the microscopic level, which provides a basis for research related to connected and automated driving.