Potential Solution Strategies Research Articles

Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques

The alarming growth of misinformation on social media has become a global concern as it influences public opinions and compromises social, political, and public health development. The proliferation of deceptive information has resulted in widespread confusion, societal disturbances, and significant consequences for matters pertaining to health. Throughout the COVID-19 pandemic, there was a substantial surge in the dissemination of inaccurate or deceptive information via social media platforms, particularly X (formerly known as Twitter), resulting in the phenomenon commonly referred to as an “Infodemic”. This review paper examines a grand selection of 600 articles published in the past five years and focuses on conducting a thorough analysis of 87 studies that investigate the detection of fake news connected to COVID-19 on Twitter. In addition, this research explores the algorithmic techniques and methodologies used to investigate the individuals responsible for disseminating this type of fake news. A summary of common datasets, along with their fundamental qualities, for detecting fake news has been included as well. For the purpose of identifying fake news, the behavioral pattern of the misinformation spreaders, and their community analysis, we have performed an in-depth examination of the most recent literature that the researchers have worked with and recommended. Our key findings can be summarized in a few points: (a) around 80% of fake news detection-related papers have utilized Deep Neural Networks-based techniques for better performance achievement, although the proposed models suffer from overfitting, vanishing gradients, and higher prediction time problems, (b) around 60% of the disseminator related analysis papers focus on identifying dominant spreaders and their communities utilizing graph modeling although there is not much work done in this domain, and finally, (c) we conclude by pointing out a wide range of research gaps, for example, the need of a large and robust training dataset and deeper investigation of the communities, etc., and suggesting potential solution strategies. Moreover, to facilitate the utilization of a large training dataset for detecting fake news, we have created a large database by compiling the training datasets from 17 different research works. The objective of this study is to shed light on exactly how COVID-19-related tweets are beginning to diverge, along with the dissemination of misinformation. Our work uncovers notable discoveries, including the ongoing rapid growth of the disseminator population, the presence of professional spreaders within the disseminator community, and a substantial level of collaboration among the fake news spreaders.

Qualitative study on the problems and potential solution strategies for part-time clinical pharmacists’ clinical services work in a tertiary hospital in China

ObjectiveTo provide an initial understanding of problems and potential solution strategies for part-time clinical pharmacist work in China, and provide references for the training of part-time clinical pharmacists.MethodsThe study was...

Rational Regulation of High-Voltage Stability in Potassium Layered Oxide Cathodes.

Layered oxide cathode materials may undergo irreversible oxygen loss and severe phase transitions during high voltage cycling and may be susceptible to transition metal dissolution, adversely affecting their electrochemical performance. Here, to address these challenges, we propose synergistic doping of nonmetallic elements and in situ electrochemical diffusion as potential solution strategies. Among them, the distribution of the nonmetallic element fluorine within the material can be regulated by doping boron, thereby suppressing manganese dissolution through surface enrichment of fluorine. Furthermore, in situ electrochemical diffusion of fluorine from the surface into the bulk of the materials after charging reduces the energy barrier of potassium ion diffusion while effectively inhibiting irreversible oxygen loss under high voltage. The modified K0.5Mn0.83Mg0.1Ti0.05B0.02F0.1O1.9 layered oxide cathode exhibits a high capacity of 147 mAh g-1 at 50 mA g-1 and a long cycle life of 2200 cycles at 500 mA g-1. This work demonstrates the efficacy of synergistic doping and in situ electrochemical diffusion of nonmetallic elements and provides valuable insights for optimizing rechargeable battery materials.

A Systematic Review on Rigid Exoskeleton Robot Design for Wearing Comfort: Joint Self-Alignment, Attachment Interface, and Structure Customization.

Exoskeleton robots enable individuals with impaired physical functions to perform daily activities and maintain independence. However, the discomfort experienced by users when using these devices may limit the application scope of exoskeleton robots. Therefore, this paper systematically defines and analyzes the key design factors affecting the wearing comfort of rigid exoskeleton robots by differentiating and discussing the characteristics of traditional exoskeleton robots and exoskeleton robots equipped with the self-alignment mechanism based on addressing misalignment issues. Furthermore, the various structural configurations of the Physical Human-Robot Attachment Interface (PHRAI) and related quantitative evaluation indicators are explored in depth, and the advantages and limitations of structural customized design methods combining parametric design, Three-Dimensional (3D) scanning, and 3D printing technology are evaluated. Finally, the current concerns in the research field and potential solution strategies are proposed, aiming to provide directional guidance to optimize future exoskeleton robots. The research findings are of significant value for enhancing the comfort of wearing exoskeleton robots and provide valuable theoretical and practical references for future research.

How Useful is Learning in Mitigating Mismatch Between Digital Twins and Physical Systems?

In the control of complex systems, we observe two diametrical trends: model-based control derived from digital twins, and model-free control through AI. There are also attempts to bridge the gap between the two by incorporating learning-based AI algorithms into digital twins to mitigate mismatches between the digital twin model and the physical system. One of the most straightforward approaches to this is direct input adaptation. In this paper, we ask whether it is useful to employ a generic learning algorithm in such a setting, and our conclusion is “not very”. We denote an algorithm to be more useful than another algorithm based on three aspects: 1) it requires fewer data samples to reach a desired minimal performance, 2) it achieves better performance for a reasonable number of data samples, and 3) it accumulates less regret. In our evaluation, we randomly sample problems from an industrially relevant geometry assurance context and measure the aforementioned performance indicators of 16 different algorithms. Our conclusion is that blackbox optimization algorithms, designed to leverage specific properties of the problem, generally perform better than generic learning algorithms, once again finding that “there is no free lunch”. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —Digital twins have the potential to improve productivity and quality in complex systems such as manufacturing systems. Their impact on system performance hinges on the accuracy of their digital models around the system’s operating points. Difficult to measure phenomena, such as wear and tear of equipment, however, may cause a mismatch between the digital twin model and the physical system. In this paper, we formalize this problem and compare 16 potential solution strategies under practical aspects. We argue that readily available off-the-shelf blackbox optimization algorithms may prove more useful for this problem, than more recent learning-based approaches. Specifically, gradient-based algorithms will perform best in systems with high-dimensional, continuous, and non-linear performance functions – even in the presence of white measurement noise.

Identifying Facilitators, Barriers, and Potential Solutions of Adopting Exoskeletons and Exosuits in Construction Workplaces.

Exoskeletons and exosuits (collectively termed EXOs) have the potential to reduce the risk of work-related musculoskeletal disorders (WMSDs) by protecting workers from exertion and muscle fatigue due to physically demanding, repetitive, and prolonged work in construction workplaces. However, the use of EXOs in construction is in its infancy, and much of the knowledge required to drive the acceptance, adoption, and application of this technology is still lacking. The objective of this research is to identify the facilitators, barriers, and corresponding solutions to foster the adoption of EXOs in construction workplaces through a sequential, multistage Delphi approach. Eighteen experts from academia, industry, and government gathered in a workshop to provide insights and exchange opinions regarding facilitators, barriers, and potential solutions from a holistic perspective with respect to business, technology, organization, policy/regulation, ergonomics/safety, and end users (construction-trade professionals). Consensus was reached regarding all these perspectives, including top barriers and potential solution strategies. The outcomes of this study will help the community gain a comprehensive understanding of the potential for EXO use in the construction industry, which may enable the development of a viable roadmap for the evolution of EXO technology and the future of EXO-enabled workers and work in construction workplaces.

Functional photonic structures for external interaction with flexible/wearable devices

In addition to vital functions, more subsidiary functions are being expected from wearable devices. The wearable technology thus far has achieved the ability to maintain homeostasis by continuously monitoring physiological signals. The quality of life improves if, through further developments of wearable devices to detect, announce, and even control unperceptive or noxious signals from the environment. Soft materials based on photonic engineering can fulfil the abovementioned functions. Due to the flexibility and zero-power operation of such materials, they can be applied to conventional wearables without affecting existing functions. The achievements to freely tailoring a broad range of electromagnetic waves have encouraged the development of wearable systems for independent recognition/manipulation of light, pollution, chemicals, viruses and heat. Herein, the role that photonic engineering on a flexible platform plays in detecting or reacting to environmental changes is reviewed in terms of material selection, structural design, and regulation mechanisms from the ultraviolet to infrared spectral regions. Moreover, issues emerging with the evolution of the wearable technology, such as Joule heating, battery durability, and user privacy, and the potential solution strategies are discussed. This article provides a systematic review of current progress in wearable devices based on photonic structures as well as an overview of possible ubiquitous advances and their applications, providing diachronic perspectives and future outlook on the rapidly growing research field of wearable technology.

Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies

This study is aimed at a succinct review of practical impacts of grid integration of renewable energy systems on effectiveness of power networks, as well as often employed state-of-the-art solution strategies. The renewable energy resources focused on include solar energy, wind energy, biomass energy and geothermal energy, as well as renewable hydrogen/fuel cells, which, although not classified purely as renewable resources, are a famous energy carrier vital for future energy sustainability. Although several world energy outlooks have suggested that the renewable resources available worldwide are sufficient to satisfy global energy needs in multiples of thousands, the different challenges often associated with practical exploitation have made this assertion an illusion to date. Thus, more research efforts are required to synthesize the nature of these challenges as well as viable solution strategies, hence, the need for this review study. First, brief overviews are provided for each of the studied renewable energy sources. Next, challenges and solution strategies associated with each of them at generation phase are discussed, with reference to power grid integration. Thereafter, challenges and common solution strategies at the grid/electrical interface are discussed for each of the renewable resources. Finally, expert opinions are provided, comprising a number of aphorisms deducible from the review study, which reveal knowledge gaps in the field and potential roadmap for future research. In particular, these opinions include the essential roles that renewable hydrogen will play in future energy systems; the need for multi-sectoral coupling, specifically by promoting electric vehicle usage and integration with renewable-based power grids; the need for cheaper energy storage devices, attainable possibly by using abandoned electric vehicle batteries for electrical storage, and by further development of advanced thermal energy storage systems (overviews of state-of-the-art thermal and electrochemical energy storage are also provided); amongst others.

An exploratory study of the application of mindsight in email communication

Research problemEmail communication is a type of virtual communication with specific characteristics: - it is a form of written communication; it is asynchronous, i.e. not occurring at the same time for the sender and recipients. Email does not include face to face communication and thus the capacity to develop a sense of connection, shared knowledge and trust are distorted due to the lack of interpersonal cues and may become a problem. Communication is a process where one mind affects another, and it is through the process of communication that individuals develop shared perceptions and coordinate their behaviours. This implies creating social worlds rather than disseminating information between people. The fact that communication is not a mere means of disseminating information but also a means of developing social entities for co-creation of understanding requires that individuals approach communication with a sense of awareness of themselves and others. Proposed solutionsIn this article the theory of Mindsight is proposed as an approach of mindful observation of the act of communication resulting in deeper awareness, reflection and potential impact on behaviour. Although Mindsight has been extensively used in addressing self-awareness and communication in real spaces, there is a gap in the existing relevant literature about the application of Mindsight in virtual/email communication. MethodsA Mindsight Utility for Virtual Communication (MUVC) was developed for use in engaging with email. The MUVC is a set of exercises enabling users to identify and manage their email habits over a period of time. The utility was developed to engage users in experiencing self-awareness and awareness of others and provides an aid to formulate personal guidelines in email communication. It was implemented with nineteen participants as part of action research allowing each individual to develop their own guidelines grounded in the experience of using the observation practice. DataQualitative data was collected in the form of diaries for a period of 6 days from two group of participants: -university students; - employees of a social enterprise. Ethics approval was granted from Northumbria University prior to data collection. Thematic analysis was used. ResultsThe study uncovered potential problems and solution strategies, inhibitors and facilitators of communication. Problems with email were perceived as: not knowing one another, difficulties in connecting, lack of trust, lack of interpersonal clues, reduction in communication quality, emotional and psychological discomfort. Solution strategies included: open-mindedness, empathy, compassion, attention focus, clear language, awareness practice, addressing physical and emotional discomfort.

Maximizing Student Engagement Outside the Classroom with Organic Synthesis Videos

A series of organic chemistry synthesis problem sets were provided to students. Potential solution pathways and strategies were recorded on video by the instructor and provided to students electronically via YouTube. Performance on the end-of-semester synthesis exam showed significant gains, with the average increasing by 13% after the introduction of the synthesis videos. Further studies were conducted to determine if students would benefit from video access through the augmented reality app Aurasma (HP Reveal) in comparison with access through the learning management system (LMS), but no significant increases in viewing habits or performance were found.

A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images.

Background: Emerging technologies such as smartphones and wearable sensors have enabled the paradigm shift to new patient-centered healthcare, together with recent mobile health (mHealth) app development. One such promising healthcare app is incision monitoring based on patient-taken incision images. In this review, challenges and potential solution strategies are investigated for surgical site infection (SSI) detection and evaluation using surgical site images taken at home.Methods: Potential image quality issues, feature extraction, and surgical site image analysis challenges are discussed. Recent image analysis and machine learning solutions are reviewed to extract meaningful representations as image markers for incision monitoring. Discussions on opportunities and challenges of applying these methods to derive accurate SSI prediction are provided.Conclusions: Interactive image acquisition as well as customized image analysis and machine learning methods for SSI monitoring will play critical roles in developing sustainable mHealth apps to achieve the expected outcomes of patient-taken incision images for effective out-of-clinic patient-centered healthcare with substantially reduced cost.

How to Measure Procedural Knowledge for Solving Biodiversity and Climate Change Challenges

To cope with biodiversity and climate change challenges, Education for Sustainable Development (ESD) needs to emphasize knowledge that considers multiple perspectives. Optimizing teacher education requires knowledge about the prerequisites of student teachers. The latter includes content knowledge with respect to Sustainable Development (SD). Apart from situational and conceptual knowledge, procedural knowledge (containing solution strategies) is of special interest, but it is much more difficult to measure. Thus, this study aims at developing a refined procedure to measure SD-relevant procedural knowledge and to define a measure for such knowledge, including a suitable benchmark for its evaluation. As SD-relevant knowledge, the SD challenges biodiversity loss and climate change were focused on. For operationalizing these challenges, the highly relevant contexts insects and pollination and peatland use were chosen. For both SD challenges and contexts, potential solution strategies were identified by a literature review. A procedure was then tested to measure procedural knowledge. The procedure includes a two-round expert survey (Delphi approach) with an in-between think-aloud study with student teachers. The described innovative procedure resulted in a measure (18 items) to assess procedural knowledge of student teachers via effectiveness estimations of provided solution strategies. This measure contains procedural knowledge items that are related to prior presented scenarios regarding the two contexts and a benchmark to evaluate these items. The benchmark derives from the second round of the Delphi study. The procedure and the developed final instrument include expertise from multiple disciplines such as ESD, SD, biodiversity, insect and pollination, climate change and peatland use. The sophisticated procedure can be transferred to challenging measurement developments. Furthermore, the measure provided for SD-relevant knowledge can be applied to other target groups in upper secondary and in higher education within ESD.

Children of mentally ill parents : Also atopic in the context of child protection

Severe mental illness in parents increases the risk of neglect, physical and sexual abuse (adverse childhood experiences, ACE) of children. Presentation of the current situation of child protection issues in psychiatric care in Germany and the derivation of needs and potential solution strategies. Based on aselective literature search, the needs and the current situation in Germany are presented and potential solution strategies are pointed out. The analysis is supplemented by adescriptive evaluation of specific consultation requests to the medical child protection hotline, which were descriptively evaluated and served as astarting point for the selective literature search. Despite the well-known comprehensive influence of mental illnesses of parents on their children, psychiatric patients have not yet been systematically registered regarding whether they have to care for underage children. There is a lack of systematic and comprehensive support for families at risk. Of all calls to the project medical child protection hotline, calls from the field of adult psychiatry and psychosomatics make up by far the highest proportion from the field of adult medicine. An increased awareness of child protection issues is necessary in the field of adult psychiatric treatment. Systematic counselling services for acute cases and also networking and structured cooperation with other medical fields, such as child and youth psychiatry, pediatrics and child and youth welfare should be addressed.

A more decentralized vision for Linked Data

We claim that ten years into Linked Data there are still many unresolved challenges towards arriving at a truly machine-readable and decentralized Web of data. With a focus on the the biomedical domain, currently, one of the most promising adopters of Linked Data, we highlight and exemplify key technical and non-technical challenges to the success of Linked Data, and we outline potential solution strategies.

Design for Sustainable Use of Appliances: A Framework Based on User Behavior Observations

User behavior can determine over one third of the energy consumed in the residential energy market. Thus, user behavior has become a primary focus in sustainable mechanical device, appliance, and smart-energy systems design. Wasteful user behaviors, termed energy overuse failure modes (EOFMs), offer an opportunity for design engineers to direct users toward more sustainable behavior through design strategies. There are fundamentally two intervention strategies: (1) product or systems solution led or (2) behavioral led. Both are used to achieve increased sustainable user behavior. To ensure expected intervention outcomes, it is equally important to both identify the EOFMs as well as their underlying causes. However, the prevailing sustainable design approaches, such as design for sustainable behavior (DfSB) and ecodesign, depend on stated responses to elicit underlying causes of behavior. Consequently, the outcomes of these approaches are susceptible to response biases. In this paper, a new revealed behavior based framework is introduced to elicit underlying causes of EOFMs and to propose potential intervention strategies to address them. We focus on uncovering two underlying causes that correspond to the intervention strategies: (1) high energy consuming habits and (2) lack of energy awareness. In the proposed framework, user behavior categorization matrices are formulated using a two-phase user study approach with a request to lower the energy use in-between the phases. Based on the observed behavior, each EOFM is matrix categorized on two axes of change and correctness. With this data, the matrices thereby indicate the dominant underlying causes of EOFMs. The EOFMs and proposed interventions can then be prioritized based on the likelihood of occurrence, severity, magnitude or a combinatorial strategy to suit the sustainability objectives. A case study is presented with seven EOFMs that are found in typical day-to-day household electromechanical appliance use including inefficient appliance setup, inefficient selection, inefficient operation, standby energy consumption, and inefficient settings of conditions. Lack of user awareness of energy and power interactions among appliances and household settings is identified as the key underlying cause of considered EOFMs. Potential design solution strategies are also considered to overcome the EOFMs based on likelihoods, severities, and magnitudes, respectively. Each solution strategy carries a varying level of knowledgeable decision-making required of the user, compared with alternatively designing into the product or systems restrictions on use.

Implementacion de la guía de práctica clínica para el manejo de adultos con esquizofrenia en Colombia

ObjectivesTo present overall strategies and activities for the implementation process of the recommendations contained in the clinical practice guideline for the management of adults with schizophrenia (GPC_E) published by the Colombian Ministry of Health and Welfare (MSPS). Prioritize the proposed recommendations, identify barriers and solving strategies to implement the GPC_E, and develop a monitoring and evaluation system for the key recommendations. MethodThe Guideline Developer Group (GDG) included professionals with primary dedication to implementation issues that accompanied the entire process. During the GDG meetings implementation topics were identified and discussed, and later complemented by literature reviews concerning the experience of mental health guidelines implementation at national and international level. Additionally, feedback from the discussions raised during the socialization meetings, and joint meetings with the MSPS and the Institute of Technology Assessment in Health (IETS) were included. The prioritization of recommendations was made in conjunction with the GDG, following the proposed steps in the methodological guide for the development of Clinical Practice Guidelines with Economic Evaluation in the General System of Social Security in Colombian Health (GMEGPC) using the tools 13 and 14. the conclusions and final adjustments were discussed with the GPC_E leaders. ResultsThe implementation chapter includes a description of the potential barriers, solution strategies, facilitators and monitoring indicators. The identified barriers were categorized in the following 3 groups: Cultural context, health system and proposed interventions. The issues related to solving strategies and facilitating education programs include community mental health, mental health training for health workers in primary care, decentralization and integration of mental health services at the primary care level, use of technologies information and communication and telemedicine. To monitor and evaluate o the implementation process, five (5) indicators were designed one (1) structure, two (2) process and two (2)outcome indicators. ConclusionThe GPC_E implementation within the Colombian General health System of Social Security (SGSSSC) poses multiple challenges. Potential barriers, enabling strategies and indicators for monitoring and evaluation described in this article, can provide efficient support to ensure the success of this process in the institutions that will adopt the guideline.

Parental strategies to help children with phenylketonuria (PKU) cope with feeling different.

This study assessed feelings of differentness in children with phenylketonuria (PKU) and elicited parental coping strategies. A total of 22 parents of 7- to 12-year-old patients with PKU completed qualitative interviews, which assessed whether they think their children feel different from their peers and identified potential solution strategies. The results showed that most parents indicated their child feels different due to PKU, which is frequently triggered by situations surrounding food. PKU community involvement and educating others about PKU were perceived by parents as useful coping strategies. Talking to children about differences was frequently used but one of the least effective strategies. Extended family, clinicians, and teachers also attempted to help children cope with feeling different with varying degrees of success. We concluded that most parents perceive that their child with PKU feels different and have developed strategies to manage these feelings. However, a subset struggle with helping their child cope and may benefit from assistance from healthcare providers.

AKTiveSA: A Technical Demonstrator System For Enhanced Situation Awareness

The issue of improved situation awareness is a key concern for military agencies, promising to deliver strategic advantages in a variety of conflict and non-conflict scenarios. Improved situation awareness can benefit operational effectiveness by facilitating the planning process, improving the quality and timeliness of decisions, and providing better feedback regarding the strategic consequences of military actions. In this paper, we aim to show how a combination of semantic technologies and user interface design initiatives can be used to improve situation awareness in a simulated humanitarian relief scenario. We describe the development of a technical demonstrator system, the AKTiveSA TDS, which integrates a variety of knowledge technologies and visualization components within the context of a unitary application framework. We also describe our approach to scenario development, knowledge acquisition, ontology engineering, and system design. Some specific problems encountered during system development are discussed, e.g. the performance overheads associated with rules-based processing, and potential solution strategies for these problems are presented alongside a description of future development activities.

Implications of growing electronic commerce for freight transportation: A case study of the United States

Recent advancements in information and communication technologies have led to the rapid growth of electronic commerce market. In the United States, e-commerce retail sales for 2002 reached $45.6 billion, indicating an increase of 26.9% from 2001 while total retail sales increased 3.1% during the same period. Although e-commerce sales account for only 1.4% of total sales in this country, forecasts show that the magnitude of digital economy will continue to expand. The logistical requirements of e-commerce goods that extend to each customer's address stimulate greater complexity in traditional supply chain management, potentially causing higher costs for freight supply chain participants. To harness the economic potential of e-commerce, it is important to encourage the development of a freight transportation system that will support its steady growth, while avoiding the possible negative effects from the changes in freight transportation. Due to the intrinsic nature of e-commerce goods, advances in home delivery have the potential to promote the growth of e-commerce as well as to create sustainable urban freight transportation systems. Based on the case study of the United States, this paper presents an in-depth discussion of the key challenges arising in home delivery operations, and proposes potential solution strategies that will lead to more efficient and reliable home delivery systems.

Implementation of the EPA's Water Quality Trading Policy for Storm Water Management and Smart Growth

A strategy has been presented to address conflicts that may arise in implementing smart growth initiatives in the face of the growing importance given to controlling nonpoint source pollutants. These pollutants are the result of urban development and subsequent storm water runoff and are regulated under the U.S. Environmental Protection Agency's (EPA's) Phase I and Phase II storm water requirements. The strategy is based on utilizing EPA's newly promulgated Water Quality Trading (WQT) Policy that seeks tradeoffs between development in different portions of a watershed. The strategy is consistent with regulatory requirements in providing a means to maintain compliance with water quality criteria in all portions of a stream, while providing a community with the flexibility to allow continued development in economically important areas. The strategy can be applied on a community-wide basis or in individual locations to support individual smart growth projects. Issues that must be addressed before WQT can be implemented are identified, along with potential solution strategies. Although additional effort is necessary to implement WQT for smart growth, a framework has been established upon which subsequent work can be built.