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Summary: The Internet of Vehicles (IoV) is a hot research topic in intelligent transportation, and the research on new methods of intelligent data transmission is one of the key contents. Aiming at the application scenario of urban air quality monitoring data collection and transmission based on IoV, a new reliable data transmission method (Vehicular Grouping‐Communicated Data [VGCD]) based on crowd sensing strategy is proposed. This method is designed to utilize the intelligent perception and collaborative monitoring of vehicle to collect data, avoiding redundancy and overload of information; a reliable data transmission minimum delay hybrid routing method is proposed in the data transmission part, which combines encoding mechanism with routing design, integrates routing switching ideas, predicts vehicle adaptive connectivity based on fuzzy logic, and makes probability based routing decisions to minimize delay, achieving reliable and efficient data collection and transmission. The proposed new method has important theoretical significance and practical value for various applications such as dynamic remote perception monitoring based on the IoV in intelligent transportation. [ABSTRACT FROM AUTHOR]

Background: Disparities in rural cancer survivors' health outcomes are well‐documented, yet the role of sociocultural aspects of rurality, such as rural identity, attitudes toward rurality, and social standing on health beliefs and behaviors remain unclear. This study aimed to address these gaps. Methods: Rural cancer survivors (N = 188) completed a mailed/online survey. Regression analyses identified relationships among rural identity, negative attitudes toward rurality, and social standing with health outcomes, quality of life, cancer fatalism, and cancer information overload. Results: Higher rural identity was associated with believing everything causes cancer (OR = 1.58, p = 0.048), believing "there's not much you can do to lower your chances of getting cancer" (OR = 2.22, p = 0.002), and higher odds of being overloaded with cancer information (OR = 2.05, p = 0.008). Negative attitudes toward rurality was linked with higher levels of perceived stress (B = 0.83, p = 0.001), and chronic pain (OR = 1.47, p = 0.039). Higher subjective social status was associated with perceived social support (B = 0.09, p = 0.016), better overall health (B = 0.13, p < 0.001), lower levels of perceived stress (B = –0.38, p = 0.007), and chronic pain (OR = 0.80, p = 0.027). Conclusion: Sociocultural factors of rurality were associated with indicators of quality of life, cancer fatalism, and information overload. Further exploration of the underlying mechanisms that drive these associations can help improve intervention targets for rural cancer survivors. [ABSTRACT FROM AUTHOR]

Although consumers are commonly exposed to numerous choices and the opportunity to touch products when they shop, the literature remains unclear on how both factors simultaneously affect choice. With the growth of online shopping, touch literature has studied the effects of mere touch (i.e., nondiagnostic tactile contact) or vicarious touch (e.g., observing a hand in physical contact with a product or imagining touching a product) to demonstrate that these nondiagnostic haptic inputs can comparably influence consumer attitude, just like diagnostic touch. By investigating the moderating effects of different haptic inputs on choice overload, this research reveals certain conditions in which nondiagnostic haptic inputs operate differently than those of diagnostic touch. We find that both mere touch (Study 1) and vicarious touch (Study 2) help reduce choice overload effects by eliminating the effect of choice set size on choice uncertainty, which is typically observed in the no touch (i.e., control) condition. As haptic cues have been increasingly employed to aid the online shopping experience for consumers, we also find that the choice overload effect is eliminated when an autotelic haptic cue is presented but amplified when an instrumental haptic cue is provided (Study 3). Besides, this research demonstrates that, while the moderating effects of the nondiagnostic haptic inputs are driven by increased personal control, instrumental touch can amplify choice overload effects due to the increased choice difficulty when choosing from large (vs. small) choice sets. These findings help retailers know what type of haptic cues to apply or avoid, as consumers have already been overloaded with abundant choices when they shop online. [ABSTRACT FROM AUTHOR]

Successful innovation requires firms to search beyond their organizational confines for complementary knowledge resources ahead of their competitors. While such proactive boundary‐spanning search (PBS) provides relevant knowledge resources for green innovations, it can also lead to information overload that derails green innovation efforts. Therefore, there is a need to understand how and when PBS translates into green innovation. This study combines the dynamic capabilities theory with the organizational information processing theory to develop a moderated mediation model that espouses the role of green dynamic capability and analytics capability in the relationship between PBS and green innovation. The study's hypothesis is tested using firm‐level survey data from 200 manufacturing firms in Ghana. Partial least squares structural equations modeling (PLS‐SEM) and PROCESS were used to evaluate the research model. The results confirm a positive relationship between PBS and green dynamic capabilities, and also between green dynamic capabilities and green innovation. More importantly, PBS drives green innovation through green dynamic capability, particularly at moderate and high levels of analytics capability. The theoretical and managerial implications of the study are outlined in the text. [ABSTRACT FROM AUTHOR]

This study examines the challenges and opportunities of using group recommendation systems in an information overload scenario. Social network recommendation systems are increasingly important because they deliver users customized choices. Most existing solutions are geared for single users, making it difficult to propose for a group with different interests. This paper analyses group recommendation systems and exposes their flaws. This study tested whether the suggested approach outperforms the one without tagging information in recall, precision, and user satisfaction. Empirical evidence indicates that the algorithm exhibits appropriate levels of reliability and accuracy compared to conventional methods. The proposed approach has the potential to substantially enhance the existing state of social network group recommendation systems, thereby facilitating users in their quest to identify and participate in groups that align with their preferences. [ABSTRACT FROM AUTHOR]

The importance of managing complexity in innovation has been highlighted both in research and practice, however the question remains: how can this be accomplished? Although there have been answers to this question, the practical alignment of process (project management) and system (technical management) viewpoints remains understudied. We responded to this challenge with an in‐depth case study in high‐tech industry. In this paper we applied Human Centered Design (HCD) and Action Research (AR) principles in a novel context, namely systems engineering. We identified main barriers and key players, essential information elements, and solution requirements. Using co‐design, we iteratively generated solution concepts, out of which we selected and evaluated one candidate concept. We highlight two main areas in our results: 1) how participatory approaches can support solving systems engineering challenges in practice; and 2) how to align the process and system viewpoints. For the first, we discuss the implications, considering aspects like the time and effort investment, along with the benefits of ownership, empathy, democracy, and collective learning. Our insights show potential to further build on the application of participatory approaches in systems engineering to match existing solutions to the practice. For the latter one, we reflect on issues such as information overload, human aspects, and the new relationship between project managers and systems engineers. Considering the current complexity demands, it is crucial to establish a better alignment between these roles and between process and system viewpoints, as they cannot be left undefined and unsupported any longer. [ABSTRACT FROM AUTHOR]

Young children are biased to treat new information communicated to them as conventional, shareable, and known by others in their community. However, some information is privileged in the sense that is not intended to be shared with or known by all. The current study compared judgements regarding sharing conventional versus privileged information. Seventy‐four 3‐ to 5‐year‐olds and adults responded to vignettes in which a protagonist had to decide whether to share conventional (an object name) or privileged information (surprise). Consistent with our hypothesis, there was no developmental change in sharing judgements for conventional information but a clear decrease with age for sharing privileged information. Nonetheless, even 3‐year‐olds were more likely to judge that conventional information should be shared more than privileged information, though this difference increased with age. While children overall treat information as shareable, there is an emerging ability to distinguish how conventional versus privileged information should be shared. [ABSTRACT FROM AUTHOR]

Stakeholders require transparency that companies are conducting business sustainably, which can be provided through non‐financial disclosures. Businesses that act on environmental, social, and governance (ESG) matters can attain a competitive advantage. ESG has become necessary in the agricultural sector as agribusinesses are considered high‐impact companies. The lack of uniformity in reporting guidelines leads to inconsistent and overloading of information. The objective of this paper is to conduct an evaluation and comparison of the current ESG reporting practices of listed agribusinesses in South Africa, Australia, and Chile. To support the quality and quantity of reporting, the concept of materiality is addressed by recognising what is material to be disclosed to stakeholders. The study evaluates how agribusinesses have incorporated the proposed material topics of the new GRI 13 sector standard into their current reporting practices. A qualitative content analysis was done to identify the presence or absence of the 34 proposed material topics in their reports. The findings indicate a distinct lack of harmonisation in the agri‐food sector disclosures. Topics hardly mentioned included the rights of indigenous people, living income, and climate adaptation. Low disclosures of the keywords Climate adaptation with 3.3% and Climate resilience with 7.0% on average, for all three countries, were reported. It is recommended that the newly proposed GRI 13 sector standard must be implemented as companies can seize this opportunity for increased transparency and gain a strategic advantage. Emphasis on the materiality concept is needed as it connects with the stakeholder theory to disclose only important information. [ABSTRACT FROM AUTHOR]

The article focuses on Lebbeus Woods' lesser-known self-published works, referred to as "samizdats," which were clandestinely circulated and showcased his early explorations and philosophical musings on architecture. Topics include Woods' subversive approach to expressing his architectural ideas; the challenges of self-publishing in the pre-digital era, the content and enigmatic nature of Woods' samizdats, and his critiques of the architectural profession, particularly its commercial dogmas.

The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for researchers to stay updated and identify significant findings. To address this, knowledge synthesis techniques are recommended. These methods help synthesize and visualize large bodies of literature, aiding researchers in navigating the expanding information landscape. Furthermore, artificial intelligence (AI) and natural language processing tools, such as text summarization, offer innovative solutions for managing information overload. However, the overuse of AI in producing scientific literature raises concerns about the quality and integrity of research. This manuscript highlights the need for balanced use of AI tools and collaborative efforts to maintain high‐quality scientific output while leveraging the benefits of extensive research. [ABSTRACT FROM AUTHOR]

This paper presents a systematic empirical study of the causal mechanisms of regulatory capture. It applies process‐tracing methods to the Vioxx drug scandal that was widely regarded to be a result of capture. In doing so, this paper provides a robust empirical analysis of regulatory capture lacking in the current literature. The analysis focuses on the role of the UK drug regulator in licensing and monitoring a drug that caused hundreds of thousands of heart attacks before it was taken off the market in 2004. We develop and systemically operationalize three causal mechanisms of capture to study the evidence on regulatory decision‐making on Vioxx. Through explicit theoretical and empirical evaluation of the evidence, we show that the degree of capture through the revolving door, information overload and shared cultural frameworks was limited. By opening the black‐box of empirical capture research, the paper highlights the problematic consequences of (mis‐)diagnosis of regulatory capture by scholars, the media, and policymakers. [ABSTRACT FROM AUTHOR]

Capturing valuable product/service improvement ideas is helpful for the development of new features. However, the existing methods for capturing such improvement ideas have the disadvantages of high cost, long time lag, information overload, and difficulty in getting a response. We propose an innovative framework based on lead user theory for capturing product/service improvement ideas from user‐generated content on social media (henceforth called "chatter"). To identify the chatter containing improvement ideas, we design a machine‐learning‐based imbalanced classification model. Additionally, we use text summarization technology to get a rough sense of improvement ideas from the selected chatter. We validate the proposed framework by a case study in the automotive industry. The results demonstrate that the ideas extracted by our framework are breakthrough innovative, useful, feasible, and adoptable. [ABSTRACT FROM AUTHOR]

Since the COVID‐19 pandemic outbreak, long‐term overlooked motives concerning a sense of safety have become a primary concern. People's sense of safety largely depends on the information they receive. Indeed, a tsunami of information about the virus has been disseminated by all forms of media to people's electronic devices, thus permeating their lives. This study proposed that the over‐abundance of information, known as information overload, could endanger individuals' sense of safety by increasing their rumination about COVID‐19. However, it could also enhance their sense of safety by increasing their positive attitudes toward COVID‐19 precautions. Furthermore, we proposed that individuals' hypervigilance could strengthen the relationship between information overload and rumination about COVID‐19 and attitudes toward COVID‐19 precautions. We tested these hypotheses using a cross‐sectional survey study (N = 403) in February 2021 and a diary study (N = 98) in July 2021 in China. The results of both studies support the dual mediating paths of the relationship between information overload and sense of safety. We also found that hypervigilance moderated the relationship between information overload and rumination about COVID‐19. Overall, our study offers insights into how social media may influence people's sense of safety and how individual differences in hypervigilance play a role in the process. [ABSTRACT FROM AUTHOR]

Aim: The purpose of the study was to inquire into social media adoption by nurses for nursing practice. Design: An exploratory descriptive qualitative design was employed in understanding social media adoption for nursing care among nurses. Method: A purposive sampling technique was employed to recruit 12 participants for the study. A semi‐structured interview guide was used to conduct in‐depth interviews which were audiotaped, transcribed verbatim, coded and analysed. Thematic analysis was used to analyse the data with NVivo 12. Results: The findings revealed nurses found social media to be useful for the dissemination, and reception of information, professional development and enhanced referral networks. Apart from its usefulness, participants believe that it is easy to navigate its apps, clear and understandable to use and does not involve much mental effort hence their favourable attitude towards use. Some participants also believe that inaccurate information, privacy and confidentiality concerns, distraction and addiction were some potential risks that are associated with its usage in nursing practice. Due to this, some participants developed a negative attitude towards its usage. Patient or Public Contribution: Twelve nurses actively participated in the study. [ABSTRACT FROM AUTHOR]

Sometimes Internet users struggle to find what they are looking for on the Internet due to information overload. Search engines intend to identify documents related to a given keyphrase on the Internet and provide suggestions. Having some background knowledge about a topic or a domain will help in building effective search keyphrases that will lead to accurate results in information retrieval. This is further pronounced among students that rely on the internet to learn about a new topic. Students might not have the required background knowledge to build effective keyphrases and find what they are looking for. In this research, we are addressing this problem, and aim to help students find relevant information online. This research furthers existing literature by enhancing information retrieval frameworks through keyphrase assignment, aiming to expose students to new terminologies, therefore reducing the dependency of having background knowledge about the domain under study. We evaluated this framework and identified how it can be enhanced to suggest more effective search keyphrases. Our proposed suggestion is to introduce a keyphrase Ranking Mechanism that will improve the keyphrase assignment part of the framework by taking into consideration the part‐of‐speech of the generated keyphrases. To evaluate the proposed approach, various data sets were downloaded and processed. The results obtained showed that our proposed approach produces more effective keyphrases than the existing framework. [ABSTRACT FROM AUTHOR]

The advent of the circular economy has repurposed traditional consumption habits. It is expanding opportunities for consumers to preserve the ecosystem throughout the whole product lifecycle. Drawing from extant rational and moral theories in behavior change, this research extends the understanding of consumer involvement in the circular economy by investigating whether being exposed to "green" clues can trigger additional information seeking and be empowering to people to contribute to the circular economy. In contrast to some prior research that suggests that information can overload consumers, this research finds that these "green" clues can stimulate greater information seeking, which can make the consumer feel more capable of effecting change through circular economy consumption. This study draws a conceptual model for behavioral change, tested on a representative sample of 4161 individuals across the five largest European countries. Results show that external "green" clues prompt consumers' information search on product lifecycle and ultimately make them feel empowered to contribute to the circular economy. Overall the research suggests that sustainability information can stimulate heightened curiosity and encourage consumers to become willing and active participants in this burgeoning circular economy. [ABSTRACT FROM AUTHOR]

China is currently under tremendous pressures to improve energy efficiency and reduce emissions. As an energy‐saving transportation innovation, electric vehicles (EVs) can alleviate this dilemma. This study adopts the Stimuli‐Organism‐Response (SOR) framework to explore the effect of information overload on consumers' psychological state and subsequent adoption intentions of EVs. Based on the 367 valid samples from Auto 4S shops in EV pilot cities in Mainland China, this study reveals that information overload negatively impacts perceived value and perceived effectiveness but positively impacts perceived risk. Furthermore, information quality offsets the negative impact of information overload on perceived value and enhances the positive impact of information overload on perceived risk. Interestingly, information quality not significantly affect the relationship between information overload and perceived effectiveness. In addition, perceived value and perceived effectiveness are positively related to purchase intentions, while perceived risk is negatively correlated with consumers' purchase intentions. On the basis of these findings, we discuss the policy implications of EVs and provide suggestions for future development. [ABSTRACT FROM AUTHOR]

Nowadays, there is a significant increase in information, resulting in information overload. Recommendation systems have been widely adopted, and they can help users find information relevant to their interests. However, a malicious attacker can infer users' private information via recommendations. To solve problems of data sparseness, enormous high‐dimensional data, the cold start problem and privacy protection in an intelligent recommender system, this study proposes a privacy‐preserving collaborative filtering recommendation method with clustering and locality‐sensitive hashing. First, we cluster users according to their characteristic information to obtain sub‐rating matrices. We use the latent factor model to predict and fill in the missing ratings in those matrices. Second, we combine the sub‐rating matrices into a complete rating matrix, subsequently, we obtained the neighbors of the target user by analyzing the similarity of the users. We use a locality‐sensitive hashing algorithm to reduce the dimensionality of the user rating data and build an index that could quickly obtain the neighbors of the target user. Finally, we predict the target user's ratings and provide recommendations to the target user. Through experiments, our study shows that our method can deal with the problems of data sparseness and cold start problems well and the accuracy of the intelligent recommendation system has been improved. In addition, we use hash techniques to search for the neighbors, which effectively protects the privacy of the user. [ABSTRACT FROM AUTHOR]

Objective: To describe the use of artificial intelligence (AI) in medical literature and trial data extraction, and its applications in uro‐oncology. This bridging review, which consolidates information from the diverse applications of AI, highlights how AI users can investigate more sophisticated queries than with traditional methods, leading to synthesis of raw data and complex outputs into more actionable and personalised results, particularly in the field of uro‐oncology. Methods: Literature and clinical trial searches were performed in PubMed, Dimensions, Embase and Google (1999–2020). The searches focussed on the use of AI and its various forms to facilitate literature searches, clinical guidelines development, and clinical trial data extraction in uro‐oncology. To illustrate how AI can be applied to address questions about optimising therapeutic decision making and individualising treatment regimens, the Dimensions‐linked information platform was searched for 'prostate cancer' keywords (76 publications were identified; 48 were included). Results: AI offers the promise of transforming raw data and complex outputs into actionable insights. Literature and clinical trial searches can be automated, enabling clinicians to develop and analyse publications expeditiously on complex issues such as therapeutic sequencing and to obtain updates on documents that evolve at the pace and scope of the landscape. An AI‐based platform inclusive of 12 trial databases and >100 scientific literature sources enabled the creation of an interactive visualisation. Conclusion: As the literature and clinical trial landscape continues to grow in complexity and with increasing speed, the ability to pull the right information at the right time from different search engines and resources, while excluding social media bias, becomes more challenging. This review demonstrates that by applying natural language processing and machine learning algorithms, validated and optimised AI leads to a speedier, more personalised, efficient, and focussed search compared with traditional methods. [ABSTRACT FROM AUTHOR]

Researchers, regulators, and practitioners have expressed concerns that the increase in disclosures in annual reports of firms over the past decades has resulted in unintended consequences for financial statement users. We investigate whether increases in disclosure requirements are associated with increased difficulty to use financial statements. We create an index measuring firms' increasing exposure to regulation‐induced disclosures in their 10‐K filings and show that a higher index is on average associated with longer analyst delay, lower analyst accuracy, and higher dispersion. Consistent with information overload theory, we also find evidence consistent with an inverted‐U curve: As regulation‐induced disclosures increase, the decision quality of analysts initially increases. However, above a certain level of disclosures, increases in disclosures are associated with a decrease in the decision quality of analysts, as evidenced by an increase in analyst delay and dispersion and a decrease in accuracy. In addition, these adverse effects are more pronounced when analysts are less experienced, follow more firms, and have access to fewer resources. Overall, the findings suggest that increases in regulation‐induced disclosures, above a certain level, are associated with information overload. [ABSTRACT FROM AUTHOR]

The mass media portrayal of a muscular body type ideal has been increasingly tied to men's body image dissatisfaction. We examined the role of self‐determination theory's intrinsic life goals within this body image ideal and its potential as a moderator of this dissatisfaction. We first tested the moderating effect of intrinsic life goals on the link between magazine consumption and body image dissatisfaction via an online questionnaire (Study 1; N = 826), then experimentally manipulated these goals and exposure to images of muscular male models (Study 2; N = 150). A robust protective effect of intrinsic goals on body image satisfaction was observed – the relationship between magazine consumption and body image dissatisfaction was only significant among individuals with a lower level of intrinsic life goal orientation. When participants' intrinsic goals were momentarily heightened, they reported significantly less body image dissatisfaction, compared to those not receiving a strengthening of these goals. The results are the first to find a protective effect of intrinsic life goals on men's body image, and have important implications for intervention. [ABSTRACT FROM AUTHOR]

Document summarization is an important task in natural language processing that helps deal with the problem of information overload occurring due to the existence of redundant content. Summary generation with highly relevant contents and maximum coverage is particularly challenging which can only be achieved when redundancy is minimized. This article introduces a novel approach for automatic text summarization based on sentence scoring and collaborative ranking to produce summaries with minimal redundancy and improved overall performance of summarization. The proposed model is a fusion of weighted and unweighted features‐based sentence scoring methods. To learn optimal weights of text features, it has been modelled as an optimization problem. Moreover, the proposed model exploits the strength of collaborative ranking to generate the summary of a given document. Three similarity factors (proximity, significance and singularity)‐based models have been employed to find the similarity between weighted and unweighted sentence scores. The results of the comparison experiment demonstrate that the proposed (PS + Jac) method generates a closer summary to the reference summary with minimal redundant contents. On average, the proposed (PS + Jac) method generates the summaries with 61% accurate contents with greater improved rates up to 40%. The statistical testing also confirms that the performance improvement is significant at a 5% level of significance. [ABSTRACT FROM AUTHOR]

During health crises like the coronavirus disease 2019 (Covid‐19) pandemic, it is crucial that individuals are able and willing to adequately respond to information. Individuals who deliberately seek information have an enhanced capacity to act on it and are capable of informed assessments of risks and self‐protective behaviors. In contrast, overexposure to Covid‐19 news as well as non‐seeking can constitute information‐related inequalities and hamper individuals' coping with the health crisis. Having this global health communication challenge in mind, our research aims to understand what characterizes non‐, medium, and frequent seekers, considering sociodemographic and socioeconomic factors, health status, affective risk responses, efficacy assessments, trust in information sources, and satisfaction with information. This study is based on data of the second wave of the Health Information National Trends Survey (HINTS) Germany. Among 2602 participants, analysis revealed that 23.3% of the respondents did not actively seek information about Covid‐19, while 34.3% of them intensively monitored information. Nonseekers, compared to medium and frequent seekers, were characterized by a lower socioeconomic status, lower affective risk responses, lower perceived information‐related self‐efficacy, and lower trust in information sources. These findings provide indications for strategic health approaches and can guide initiatives to address adequate use of health information. Key Points: Identifying and characterizing groups differing in their frequency of Covid‐19 information seeking is relevant since being able and willing to adequately respond to information is crucial for combating health crises. 23.3% of respondents of a German representative study did not actively seek information, while 34.3% intensively monitored information about Covid‐19. Medium and frequent seekers of Covid‐19‐related information show similar preference patterns regarding the used sources, with public broadcasting being the preferred source of information about Covid‐19. Nonseekers, compared to medium and frequent seekers, were characterized by a lower socioeconomic status (SES), lower affective risk responses, lower perceived information‐related self‐efficacy, and lower trust in information sources. Planners of informational interventions, health communicators, as well as health professionals, need to be aware of the profiles of nonseekers as well as frequent seekers to find adequate strategies to overcome barriers and design adequate supportive information. [ABSTRACT FROM AUTHOR]

ShyTech is the new automotive interior smart home living‐style oriented design direction. It is a consistent alternative approach to giant display consoles. Key intention is to reduce a potential information overload by providing content only when and where necessary (on‐demand principle). This paper introduces design opportunities, use cases, challenges and technical solutions for premium image quality, natural‐looking and genuine‐feeling surface textures, daylight readability and postcard effect avoidance. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic has posed a significant challenge to higher education and forced academic institutions across the globe to abruptly shift to remote teaching. Because of the emergent transition, higher education institutions continuously face difficulties in creating satisfactory online learning experiences that adhere to the new norms. This study investigates the transition to online learning during Covid‐19 to identify factors that influenced students' satisfaction with the online learning environment. Adopting a mixed‐method design, we find that students' experience with online learning can be negatively affected by information overload, and perceived technical skill requirements, and describe qualitative evidence that suggest a lack of social interactions, class format, and ambiguous communication also affected perceived learning. This study suggests that to digitalize higher education successfully, institutions need to redesign students' learning experience systematically and re‐evaluate traditional pedagogical approaches in the online context. Practitioner notesWhat is already known about this topicUniversity transitions to online learning during the Covid‐19 pandemic were undertaken by faculty and students who had little online learning experience.The transition to online learning was often described as having a negative influence on students' learning experience and mental health.Varieties of cognitive load are known predictors of effective online learning experiences and satisfaction.What this paper addsInformation overload and perceptions of technical abilities are demonstrated to predict students' difficulty and satisfaction with online learning.Students express negative attitudes towards factors that influence information overload, technical factors, and asynchronous course formats.Communication quantity was not found to be a significant factor in predicting either perceived difficulty or negative attitudes.Implications for practice and/or policyWe identify ways that educators in higher education can improve their online offerings and implementations during future disruptions.We offer insights into student experience concerning online learning environments during an abrupt transition.We identify design factors that contribute to effective online delivery, educators in higher education can improve students' learning experiences during difficult periods and abrupt transitions to online learning. [ABSTRACT FROM AUTHOR]

Background: Occasionally, patients show dramatic recovery from disorders of consciousness (DOC) under intrathecal baclofen (ITB), an established treatment option for severe supraspinal spasticity. Anecdotal explanations for ITB‐related recovery of cognition include modulation of afferent impulses at the spinal level, thereby reducing spasticity‐related proprioceptive information overload within cortico–thalamo–cortical connections. Objective: In this retrospective patient chart analysis, we assessed whether a reduction in spasticity would be associated with an increase in Coma Recovery Scale revised (CRS‐R) scores in a larger sample of patients than previously published. Methods: From a hospital‐based ITB treatment register, we extracted data from 26 patients with DOC and severe supraspinal spasticity who improved by >2 points on the Coma Recovery Scale revised (CRS‐R) within 6 months after ITB treatment initiation. We assessed Modified Ashworth scale (MAS) scores and CRS‐R scores on admission (PRE) and 3 and 6 months after initiation of ITB treatment (3M, 6M). We performed correlation analysis of the scores and their respective changes (PRE to 3M, 3M to 6M). We also correlated the time from acute event until ITB initiation to CRS‐R scores at 3M and 6M. Results: ITB led to significant improvement in spasticity based on MAS scores, which did not correlate to the improvements seen in CRS‐R total and subscale scores. Daily ITB dose did neither correlate to MAS scores nor to CRS‐total scores in the whole patient group, but after 3 months, ITB dose correlated to some CRS‐R subscale scores in some patient subgroups. Time until ITB treatment did not correlate to CRS‐R scores later on. Conclusions: Our data confirm that ITB may exert beneficial effects in selected DOC patients with respect to improved cognitive functions, which, however, do not correlate to its antispastic effect. The lack of correlation between time to ITB and CRS‐R outcome, but significant CRS‐R improvements following pump implantation, renders spontaneous remissions unlikely and leaves room for alternative pharmacological mechanisms. [ABSTRACT FROM AUTHOR]

With the rapid development of information technology, the problem of "information overload" emerges when users choose cloud services. How to integrate multi‐source information to achieve accurate service recommendation is an urgent problem to be solved by current recommendation systems. This article proposes a cloud service recommendation method based on extended multi‐source information fusion. First, we propose a score prediction based on matrix decomposition and topic matrix, and we fully mine existing explicit data and feedback data, such as user ratings, social trust information, reviews, and user personalized preferences and so on. Second, in order to solve the problems of data sparseness and cold start of the system, we integrate the score, social trust information and review into a comprehensive model through collaborative filtering (CF), and propose a multi‐source information fusion recommendation method. The CF fusion method mainly combines two parts: social matrix decomposition and topic matrix decomposition. Finally, in order to further improve the accuracy and scalability, the implicit feature matrix is integrated into the user rating matrix, and the original CF enhancement based on scoring matrix decomposition is a matrix decomposition method that can learn implicit features. Experimental results show that compared with other recommendation algorithms, the cloud service recommendation method proposed in this article can improve the recommendation accuracy and allow users to choose satisfactory cloud services. [ABSTRACT FROM AUTHOR]

Mobile banking apps have begun to provide non‐core functions to users, for example, mobile shopping, identifying nearby activities, and purchasing tickets as an innovation. Nevertheless, few studies have explored the negative impacts of this change (e.g., information overload and unfamiliarity associated with these new services). By developing and testing a research model with 422 questionnaires collected in China, this study aimed to examine users' psychological and behavioral aspects regarding the non‐core features of mobile banking apps by considering two countervailing constructs: appreciation and fatigue. The results show that the non‐core features of mobile banking apps affect the appreciation emotion positively and affect the fatigue emotion negatively. The different effects of the two opposing constructs on the using behavior are also discussed. This study identifies the partial complementary mediation role of lifestyle fit and function fit with the non‐core features of mobile banking apps. By presenting the necessary condition analysis, this study contributes to identifying the necessary and sufficient effects of both lifestyle fit and function fit on users' using experience evaluation. The findings suggest that, in practice, non‐core features of mobile banking apps can be used as a business strategy to influence users' choice in the mobile context. [ABSTRACT FROM AUTHOR]

Background: Peer teaching involves learners at the same level in their academic career aiding each other's education. In medical education, it has had success in clinical and procedural skills; we set out to design a pharmacology peer teaching initiative and evaluate its acceptability and value as a learning tool. Approach: Second‐year medical students (n = 62) were invited to participate in a peer‐led pharmacology educational initiative over 2 months. Students created PowerPoint presentations on medications using Pecha Kucha principles (automatic slide advancement that emphasises concision through time and content limitations to sustain the audience's attention). Presentations occurred over eight, 1‐hour sessions, facilitated by senior academics. Evaluation: The evaluation consisted of an anonymous questionnaire with 10 Likert‐scale questions and two open‐ended questions on the learners' perceptions of feasibility, acceptability and effectiveness in improving knowledge, teaching and independent learning skills. Fifty‐three students presented at well‐attended sessions. Twenty‐nine students completed the Kirkpatrick Level 1 evaluation with largely positive perceptions, including improved pharmacology knowledge (n = 21, 72%), teaching skills (n = 23, 79%) and independent learning skills (n = 22, 76%). Satisfaction with both the quality of peer teaching (n = 21, 72%) and presence of expert facilitators (97%, n = 28) was high. Three found the initiative burdensome, and 23 reported information overload. Nevertheless, 23 deemed the experience valuable. Facilitator reflections were also positive. Implications: Our peer teaching initiative appeared useful to our learners, but in this process, we gained valuable information to improve the next iteration. We plan to use this format either for revision material or reduce session length and increase interval time between sessions to address the perceived information overload. [ABSTRACT FROM AUTHOR]

We explore the benefits and costs of social networking usage and examine the roles of need to belong and autonomy to contextualize the fear of missing out (FoMO) socio‐cultural phenomenon in the digital age. We utilize a self‐determination theory‐based framework for understanding how the FoMO phenomenon influences positive (negative) mood, information overload, social media satisfaction, and engagement with social media advertising. Study 1 explores how FoMO relates to positive mood through the need to belong. Study 2 demonstrates how FoMO impacts information overload through the mediation of social media interactivity. Furthermore, Study 2 shows how FoMO alters social media satisfaction, and this relationship is mediated by information overload and moderated by autonomy. Study 3 shows that negative emotions serve to mediate the effect of information overload on engagement with social media advertising. Finally, we discuss implications of this study to provide insight into how brand marketers can offer FoMO‐reducing mechanisms to consumers to ensure a high level of advertising engagement, how health advocates can leverage social media to promote meaningful engagement with consumers, and how industry practitioners may want to consider aspirational virtual events to create buzz while also satisfying consumers' need to belong to social groups. [ABSTRACT FROM AUTHOR]

This study assessed the effectiveness of safety communication on the back labels of hazardous products (with regulatory and safety information as dictated by regulatory requirements), with household detergents as a test case. The potential of simplification to increase label effectiveness was evaluated by comparing the currently used labelling approach with two simplified alternatives. The labels mainly differed in terms of the amount of information and the prominence of pictograms. The generalisability of theoretical insights on the effectiveness of pictograms in safety messages to a more real‐life context was tested by (a) realistic labels containing several other information elements besides the safety information and (b) target users who are knowledgeable about the product type. One thousand eight hundred (1,800) respondents participated in an online experiment and were randomly exposed to one of the labels. The positive cognitive and behavioural effects commonly attributed to pictorials could not be confirmed, but positive affective effects did emerge. Specifically, even though participants were asked to carefully read the label, they did not spend enough time to process all the content except for the most simplified label. The results did not show meaningful differences between the three labels in terms of information recall (which was poor for all executions), hazard perceptions and behavioural intentions when confronted with an accident. In contrast to this lack of differentiation in cognitive and behavioural intention effects, we did find a clear difference in the affective measure. A majority of the respondents preferred the simplified safety labels. As such, avoiding information overload, and conveying the information in an easier way by means of more prominent use of pictograms, appeared to be appreciated by consumers of household products, while it did not negatively impact label effectiveness. [ABSTRACT FROM AUTHOR]

Background: As the prevalence of paediatric dysphagia increases, the need for long‐term non‐oral feeding has also increased. Despite these developments, little is known about caregiver experiences of transitioning a child onto long‐term non‐oral feeds, and the factors which influence the process of decision‐making and the provision of consent to do so. This paper aims to explore these factors. Methods: Semi‐structured interviews were conducted with nine participants recruited from the multidisciplinary out‐patient non‐oral feeding clinic at a hospital. Interviews explored caregiver experiences of decision‐making and the process of providing consent when transitioning their child to non‐oral feeds, as well as the support structures available to the caregivers. Interviews were audio recorded and transcribed, then analyzed using thematic analysis (Braun & Clarke, 2013) and content analysis (Neuendorf, 2016). Results: Challenges to care and quality of life, access to information and culturally relevant counselling, and the involvement of family members and significant others emerged as prominent themes. Findings suggest that quality of life was the most common motivating factor for transitioning a child to non‐oral feeding methods. Several participants suggested that support and information sharing via digital platforms were both useful and effective. Implications: The findings highlight caregivers' needs for improved access to information and social support. The findings hold implications for training of healthcare providers working in similar contexts and for models of service delivery which ensure that family‐centred intervention can be delivered in culturally and contextually relevant ways. With widespread access to smartphones, counselling should include digital messaging as a way of providing support and information sharing. Future research should focus on the complexities of counselling and the process of informed consent in settings impacted by diverse cultural, contextual and linguistic barriers, as well as the potential value of mobile health (mhealth) in ensuring improved health outcomes. [ABSTRACT FROM AUTHOR]

Structure of the codified knowledge matters: it defines knowledge transferability while its absence creates information overload. Knowledge transferability creates organizational value through an increase of intellectual capital, innovative activity, and firm performance. The knowledge‐based view postulates higher transferability of codified knowledge, but the codification approach complies with a set of contradictions. The present empirical study uncovers nonlinear relationships between knowledge structure and knowledge transferability and encourages further studies toward search for optimal knowledge structure. [ABSTRACT FROM AUTHOR]

Summary: Currently, Recommender Systems (RS) have been ubiquitously applied to various online applications and obtained tremendous success due to their capability to overcome information overload; however, the available Side Information (SI), such as demographics and attributions of items, is always neglected. Actually, SI could reflect user's interests and preference, and even influence user's decision over items; therefore, it would be greatly helpful to leverage side information to improve the performance of RS, which is already partly certificated in previous research studies. Motivated by this, in this article, a novel multi‐task learning‐based recommendation system referred to as LGP‐RS is proposed, which takes utility functions mapping from the non‐linear side information to low‐rank feature space with Gaussian process (GP) priors, for users and items, respectively. In addition, Laplace approximation method is employed to approximate the posterior distribution for the utility functions, and gradient‐based method is employed to learn the hyperparameters for GP. This flexible approach is able to capture the non‐linear high‐order interactions within side information, reduce the prediction uncertainty, and provide personalized top‐N recommendation. Experimental analysis over three real‐world datasets demonstrates that LGP‐RS could deal with both explicit and implicit side information simultaneously, and significantly outperforms state‐of‐the‐art approaches. [ABSTRACT FROM AUTHOR]

The rapid increase in the number of community‐based question‐and‐answer services is attracting many users. Questions are posted and answered by community members. These users, who can help other users answer questions, can be considered experts. To facilitate finding a suitable expert and alleviate information overload, in this paper, expert yellow pages (EYP) for community question answering (CQA) are constructed. Considering the various lengths of texts, the biterm topic model (BTM) is used to model questions and fields of expertise. Then, two‐dimensional EYP (2DEYP), which are composed of expertise field dimensions and question dimensions, are constructed. The intersections represent the cluster of experts. The proposed 2DEYP can be expanded both laterally and vertically for a more in‐depth understanding and a more precise location. As the closer neurons represent similar topics, a novel labelling method is proposed to identify topic words for navigation. The method uses the distance between neurons as the differentiation capability. To further distinguish experts, a ranking mechanism is proposed. The experts can be ranked by integrating their expertise and activity levels. The expertise level is novel and characterized by both breadth and depth aspects. The proposed approach is evaluated via a real dataset, and the experimental results show that the proposed algorithm is feasible and performs well. [ABSTRACT FROM AUTHOR]

There is an ongoing debate about the need for improved intelligibility of corporate information. In particular, there is widespread dissatisfaction with the length and understandability of the information provided in firms' financial statements. This paper investigates the determinants and effectiveness of corporate disclosures. To identify variation in the quantity and quality of corporate disclosures, we use fair‐value‐related disclosures as our setting. We create a firm‐year‐specific disclosure index to evaluate the quantity of fair‐value‐related information the firms convey. The quality of the information is measured via its ex ante ability to mitigate investors' uncertainty about the estimated fair values. Our results suggest that managers regard quantity and quality as complementary features of corporate disclosures. Nevertheless, the evidence reveals that, for investors, this is not the case. Rather, large quantities of information appear to overload investors, thereby obscuring high‐quality disclosures. Moreover, neither the value relevance, nor the informativeness, of the fair‐valued items increase with the amount of related disclosures provided. Overall, we document the detrimental effect of information overload in burying facts critically important to investors and diminishing investor reliance on financial statements as a source of information for decision making. [ABSTRACT FROM AUTHOR]

We researchers have taken searching for information for granted for far too long. The COVID‐19 pandemic shows us the boundaries of academic searching capabilities, both in terms of our know‐how and of the systems we have. With hundreds of studies published daily on COVID‐19, for example, we struggle to find, stay up‐to‐date, and synthesize information—all hampering evidence‐informed decision making. This COVID‐19 information crisis is indicative of the broader problem of information overloaded academic research. To improve our finding capabilities, we urgently need to improve how we search and the systems we use. We respond to Klopfenstein and Dampier (Res Syn Meth. 2020) who commented on our 2020 paper and proposed a way of improving PubMed's and Google Scholar's search functionalities. Our response puts their commentary in a larger frame and suggests how we can improve academic searching altogether. We urge that researchers need to understand that search skills require dedicated education and training. Better and more efficient searching requires an initial understanding of the different goals that define the way searching needs to be conducted. We explain the main types of searching that we academics routinely engage in; distinguishing lookup, exploratory, and systematic searching. These three types must be conducted using different search methods (heuristics) and using search systems with specific capabilities. To improve academic searching, we introduce the "Search Triangle" model emphasizing the importance of matching goals, heuristics, and systems. Further, we suggest an urgently needed agenda toward search literacy as the norm in academic research and fit‐for‐purpose search systems. [ABSTRACT FROM AUTHOR]

Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained within the World Health Organization (WHO) Classification of Tumours, published by the International Agency for Research on Cancer (IARC) and known worldwide as the WHO Blue Books. In addition to their relevance to individual patients, these volumes provide a valuable contribution to cancer research and surveillance, fulfilling an important role in scientific evidence synthesis and international standard setting. However, the multidimensional nature of cancer classification, the way in which the WHO Classification of Tumours is constructed, and the scientific information overload in the field pose important challenges for the translation of research findings to tumour classification and hence cancer diagnosis. To help address these challenges, we have established the International Collaboration for Cancer Classification and Research (IC3R) to provide a forum for the coordination of efforts in evidence generation, standard setting and best practice recommendations in the field of tumour classification. The first IC3R meeting, held in Lyon, France, in February 2019, gathered representatives of major institutions involved in tumour classification and related fields to identify and discuss translational challenges in data comparability, standard setting, quality management, evidence evaluation and copyright, as well as to develop a collaborative plan for addressing these challenges. What's new? The World Health Organization Classification of Tumours has been informing cancer research and clinical practice by providing an international consensus on the tumour criteria for cancer diagnosis. In a new initiative coordinated by the International Agency for Research on Cancer, major institutions are now joining forces to address the remaining challenges in translational research and facilitate the application of research results to clinical practice. The newly‐established International Collaboration for Cancer Classification and Research (IC3R) aims to provide a forum for the coordination of efforts in generating evidence, setting standards, and providing best practice recommendations for tumor classification and cancer research. [ABSTRACT FROM AUTHOR]

The provision of safe nutrition care to patients is the fundamental vision of the American Society for Parenteral and Enteral Nutrition (ASPEN). Yet we are facing important challenges in our field and society, requiring us to reflect, rethink, and adjust to make new breakthroughs to meet the needs for the future. In developing new plans to address these challenges, we must focus on 2 critical elements: people and the scientific process. Government and organizations cannot carry on their missions without people. But with the challenges of healthcare finance, biotechnology disruption, the desire to facilitate knowledge transfer and now the impact of the global pandemic, we need to develop a forward‐thinking and sustainable approach to connect people and foster continued learning. Burnout is a recognized occupational problem that affects providers and researchers across all disciplines. The coronavirus disease 2019 pandemic has amplified the challenges associated with burnout. Supporting the needs and promoting the well‐being of people, therefore, are critical to move forward successfully. At the same time, the scientific advances in our field rely on sound scientific principles and integrity. Information overload, pressure to produce immediate outcomes (such as cost‐saving initiatives), and misinformation can compromise the scientific process and research evidence. The two common missteps that affect researchers, clinicians, and administrators include premature factulation and binary thinking. We will discuss how these missteps can occur and the approaches to minimize their influence in making sound decisions and policies to meet the future's needs. [ABSTRACT FROM AUTHOR]

Background: An excessive overload of information causes an ineffective management of information, stress and indefiniteness. Furthermore, this situation can prevent persons from learning and making conscious decisions. Objective: This study aims to determine the cancer information overload (CIO) and the factors related to it in adults who are Internet users. Methods: A cross‐sectional study with 482 Internet users was conducted. The data were collected by using an Introductory Information Form and the Cancer Information Overload Scale. Results: It was found that the Internet was the most used information source (62.2%). The CIO of those with a university level education was found to be high (P = 0.012). It was found that the CIO of individuals who used the Internet (P = 0.031) and newspapers/magazines (P = 0.004) as sources of information was high compared with those who did not use these sources. It was determined from the information obtained that those who found the information to be beneficial and enough had a low CIO (P = 0.004, P = 0.00). Conclusion: Health literacy around cancer information is challenging for frequent Internet users. Health professionals, information specialists and librarians should orient people to reliable sources. [ABSTRACT FROM AUTHOR]

Summary: Background: In the traditional 'postcard' educational technique, learners write learning points on a postcard at the end of a face‐to‐face teaching session. The teacher subsequently posts them back to the learners in order to remind and reinforce learning. Cardiff University's Palliative Care Masters programme adapted the traditional postcard technique to suit a modern blended learning course, introducing the concept of 'virtual postcards'. Methods: Students were asked to complete a postcard for face‐to‐face teaching sessions on 'symptom control' and were free to use their postcard as they wished, e.g. to draw pictures, to list key bullet points, etc. A selection of postcards were subsequently scanned and uploaded into the corresponding online module. These were visible to all students so that they could learn from each other's virtual postcards. Results: Most students felt that the virtual postcards were a useful learning material (12% did not). Around half of the students felt that having a selection of the virtual postcards was preferable to all of them being uploaded (52%; 28% expressed no preference). Students were divided as to whether this would have become too monotonous to repeat for all topics in face‐to‐face teaching (40% felt that these should just be used for some topics, 18% had no preference, and 42% felt that these would be useful for all topics). Discussion: In general, the students found virtual postcards useful as part of blended learning, and liked learning from other people's virtual postcards as well as from their own. There needs to be a balance between how often the technique is employed, and how many postcards are uploaded, to avoid information overload and losing value. [ABSTRACT FROM AUTHOR]

Objective: This investigation explores how using different e‐health interventions facilitates positive psychosocial changes and how these changes reduce cancer concerns and improve quality of life in breast cancer patients over time. Methods: A total of 326 breast cancer patients were randomly assigned to one of three e‐health interventions: (a) Internet only, (b) the Comprehensive Health Enhancement Support System information and support services (CHESS‐IS), or (c) CHESS with mentor. Proximal health outcomes such as information overload, emotional functioning, and social support were measured alongside distal outcomes like cancer concerns and quality of life. Participants completed surveys at four time points: pretest as a baseline, 6 weeks, 3 months, and 6 months. Results: Both interventions were effective in improving patient health beyond Internet only but they differed in type of change mechanism and clinical benefit. The CHESS‐IS enhanced proximal outcomes at 3 months through improved information competence. The CHESS with mentor intervention reduced breast cancer concerns at 6 months, mediated mainly by emotional‐social competence and emotional functioning. Conclusions: Using e‐health interventions like CHESS can help patients improve cancer information management skills and emotional functioning, contributing to better short‐term health outcomes. Adding a human mentor can enhance the benefits of CHESS use, extending the experience among breast cancer patients. Theoretical, practical, and clinical implications of the study results are discussed. [ABSTRACT FROM AUTHOR]

Summary: With the rapid proliferation of information and communication technology (ICT), the vast amount of available data creates information overload. The Websites and e‐commerce applications employ several information filtering methods such as personalized recommender system to manage the information overload. The recommender system assists the users in obtaining the desired list of products based on their interest. Several existing research works focus on the novelty or unexpectedness in the recommendation list while ensuring the quality to enhance the recommendation mechanism. It is essential to balance the unexpected and useful products or services to generate the satisfactory personalized recommendations with novelty. Thus, this paper proposes a novelty‐driven movie suggestion using integrated matrix factorization and temporal‐aware clustering optimization (NOMINATE). The proposed approach determines the personalized preferences through probabilistic matrix factorization (PMF) and contextually updates the rules and extracts the user preferences based on the inherent features of both the users and movies with temporal information. The NOMINATE approach also suggests the novelty‐driven, and desired top‐N movies to the users through the K‐means, and particle swarm optimization (PSO)‐based clustering algorithm with the help of LOD source. To identify the expert users, the NOMINATE approach applies the K‐means and PSO‐based clustering algorithm to enrich the personalized features of the users. Moreover, it integrates the relevant features with the preferred set of features for each user using the LOD source and decides a set of optimal preferences of the users. Finally, the NOMINATE approach generates the top‐N recommendation list for the corresponding user through ranking method. The experiment results stipulate that the NOMINATE approach personalize the top‐N movie recommendations with high performance regarding accuracy and novelty when compared with the existing recommendation method. [ABSTRACT FROM AUTHOR]

The virus, commonly known as COVID‐19 which emerged in Wuhan, China, in December 2019, has spread in 213 countries, areas or territories around the globe, with nearly 144 683 deaths worldwide on 18 April 2020. In the wake of this pandemic, we have witnessed a massive infodemic with the public being bombarded with vast quantities of information, much of which is not scientifically correct. Fighting fake news is now the new front in the COVID‐19 battle. This regular feature comments on the role of health sciences librarians and information professionals in combating the COVID‐19 infodemic. To support their work, it draws attention to the myth busters, fact‐checkers and credible sources relating to COVID‐19. It also documents the guides that libraries have put together to help the general public, students and faculty recognise fake news. [ABSTRACT FROM AUTHOR]