Monitoring Feedback Research Articles

Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers

Real-time monitoring of hydration biomarkers in tandem with biophysical markers can offer valuable physiological insights about heat stress and related thermoregulatory response. These metrics have been challenging to achieve with wearable sensors. Here we present a closed-loop electrochemical/biophysical wearable sensing device and algorithms that directly measure whole-body sweat loss, sweating rate, sodium concentration, and sodium loss with electrode arrays embedded in a microfluidic channel. The device contains two temperature sensors for skin temperature and thermal flux recordings, and an accelerometer for real-time monitoring of activity level. An onboard haptic module enables vibratory feedback cues to the wearer once critical sweat loss thresholds are reached. Data is stored onboard in memory and autonomously transmitted via Bluetooth to a smartphone and cloud portal. Field studies conducted in physically demanding activities demonstrate the key capabilities of this platform to inform hydration interventions in highly challenging real-world settings.

AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum

China’s Yellow (Bohai) Sea bird habitat is an important ecological region. Its unique ecology and challenges provide rich resources for research and study. Our course design concept is supported by AI technology, and improves students’ abilities through innovative functions such as dynamic data support, personalized learning paths, immersive research and study experience, and diversified evaluation mechanisms. The course content revolves around the “human–land coordination concept”, including pre-trip thinking, research and study during the trip, and post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, and protection plan display activities. ERNIE Bot participates in optimizing the learning path throughout the process. The course evaluation system starts from the three dimensions of “land to people”, “people to land”, and the “coordination of the human–land relationship”, adopts processes and final evaluation, and uses ERNIE Bot to achieve real-time monitoring, data analysis, personalized reports, and dynamic feedback, improving the objectivity and efficiency of evaluation, and helping students and teachers optimize learning and teaching. However, AI has limitations in geographical research and study, such as insufficient technical adaptability, the influence of students’ abilities and habits, and the adaptation of teachers’ role changes. To this end, optimization strategies such as improving data quality and technical platforms, strengthening student technical training, enhancing teachers’ AI application capabilities, and enriching AI functions and teaching scenarios are proposed to enhance the application effect of AI in geographical research and promote innovation in educational models and student capacity building.

Behavioral Intervention with Eye-Use Monitoring to Delay Myopia Onset and Progression in Children: A Cluster Randomized Trial.

To assess the efficacy of a behavioral intervention using Eye-Use Monitoring technology to delay the onset and progression of myopia in children. A prospective, cluster-randomized, parallel-groups, examiner-masked, clinical trial (Chinese Clinical Trial Registry, ChiCTR2100052101). A total of 413 children from grades 2 to 4 in Shandong, China, from October 2021 to December 2023 were randomized by class into three groups: reminder & feedback (6 classes, 156 children), reminder-only (5 classes, 147 children), and control (3 classes, 110 children). Children with prior myopia control interventions, significant eye conditions, or a history of eye diseases were excluded. The reminder-only group received real-time vibration alerts for prolonged near work, close proximity, head tilt, or inadequate lighting. The reminder & feedback group received these alerts plus behavioral feedback, including praise, rewards, and weekly reports. The control group received no intervention. The intervention lasted 49 weeks, followed by a 49-week observation period without intervention. The primary outcome was the mean change in cycloplegic spherical equivalent at 49 weeks. Secondary outcomes included changes in axial length, myopia incidence, rates of rapid myopic shift, participant compliance, and eye-use behaviors. At 49 weeks, changes in spherical equivalent and axial length were least in the reminder & feedback group (spherical equivalent: -0.52±0.35D vs. -0.59±0.43D vs. -0.73±0.48D, axial length: 0.30±0.14mm vs. 0.33±0.16mm vs. 0.40±0.20mm, in reminder & feedback group, reminder only group, and control group, respectively, both P<0.001). Myopia incidence was lowest in the reminder & feedback group (13.3% vs. 21.6% vs. 27.78%, in reminder & feedback group, reminder only group, and control group, respectively, P<0.05). However, differences diminished by the 98-week follow-up. This study demonstrated that the combination of Eye-Use Monitoring reminders and feedback on eye-use behaviors can effectively delay the onset and progression of myopia in children. However, sustained intervention may be necessary to maintain long-term benefits.

Cloud-based adolescent physical health research incorporating cell molecular biomechanics insights into predictive modeling and biometric algorithms

The physical health of adolescents is critical to their future development and quality of life. However, there is still much room for improvement in monitoring and intervention of adolescent physical health in colleges and universities. Based on the National Standard for Student Physical Fitness and Health, this study proposes a physical health management framework for adolescents that combines a cloud platform and real-time data analysis. Through an innovative health monitoring and early warning system and feedback mechanism, the effectiveness of health intervention was significantly improved. Body mass index is related to the balance between energy intake and expenditure at the cellular level. Excessive calorie intake can lead to an increase in adipose cells, which secrete molecules that can affect overall metabolism and biomechanical stress on tissues. Lung capacity is linked to the elasticity and strength of the alveolar cells and the connective tissue in the lungs. he proper functioning of these cells, regulated by intracellular signaling pathways and molecular interactions, determines the efficiency of gas exchange. The 50-meter run, seated forward bending, standing long jump, pull-ups/sit-ups, and 800-meter/1000-meter run all involve muscle contractions. Muscle cells contain actin and myosin filaments, and the sliding of these filaments, regulated by calcium ions and other molecular signals, generates the force required for movement. The graded early warning parameters established by the system can thus be seen as indicators of potential disruptions in these cell molecular biomechanical processes. The innovative health monitoring and early warning system and feedback mechanism not only help students recognize the weaknesses in their physical functions from a macroscopic level but also potentially identify areas where cell molecular biomechanical imbalances may exist. This enables physical education teachers to formulate personalized training plans that can target and correct these imbalances, as experimentally validated by the system's ability to accurately identify health risks and enhance the overall health of students.

A scoping review of digital technology applications in palliative care

BackgroundIn the current era of rapid technological development, digital technology is progressively transforming the medical field. In palliative care, its integration is an inevitable trend, offering new possibilities for improving care delivery and patient outcomes.ObjectiveThis study aimed to review the application of digital technologies in palliative care, focusing on their advantages, challenges, and measurable impacts across diverse care settings.MethodsA scoping review was conducted, evaluating studies published between January 1, 2000, and August 1, 2024. Searches were performed across PubMed, CINAHL, Web of Science, Scopus, and the Cochrane Library. Original studies assessing digital interventions within palliative care settings were included. Data extraction included study design, sample size, setting, intervention type, and outcomes. Methodological quality was appraised using appropriate tools for randomized controlled trials (RCTs), non-randomized studies, mixed-methods studies, and qualitative studies. Two independent reviewers conducted the data extraction and quality appraisal, resolving disagreements through discussion.ResultsTwenty-four studies were included, examining digital technologies such as computer systems, virtual reality (VR), and wearable devices. Key interventions supported information provision, symptom monitoring, psychological support, and communication feedback. Digital tools demonstrated positive impacts on pain management, symptom distress, quality of life, and patient acceptability. Despite methodological strengths in most studies, limitations such as small sample sizes and inconsistent outcome measures were noted.ConclusionDigital technologies in palliative care demonstrate significant potential to improve patients’ quality of life and alleviate symptom burden through remote monitoring, real-time feedback, and personalized interventions. These innovations address limitations of the traditional biomedical model, enhancing the accessibility and overall quality of palliative care.

Differentiating the Role of Growth Language Mindsets in Feedback‐Seeking Behaviour in L2 Writing through Perspective‐Taking: A Mixed‐Method Study

ABSTRACTThe differential impact of growth language mindsets on second or foreign (L2) writing feedback‐seeking behaviour (FSB) is an important yet underexplored area of research. How perspective‐taking, a less‐researched construct in L2 writing, directly predicts FSB or mediates the paths between growth language mindsets and FSB remains unknown, either. Therefore, the present mixed‐method study seeks to explore the impacts of growth language mindsets—specifically related to intelligence, aptitude and age sensitivity—perspective‐taking on FSB, and particularly examines whether perspective‐taking mediates the relationship between growth language mindsets and FSB. A battery of questionnaires were administered to 571 Chinese learners of English at the tertiary level, of whom six L2 learners were interviewed. Quantitative results showed that growth mindsets on language aptitude and age sensitivity as well as perspective‐taking positively predicted both feedback monitoring and feedback inquiry; growth mindsets on language intelligence only predicted feedback inquiry. Perspective‐taking mediated the relationship between growth mindsets on language aptitude and both feedback monitoring and feedback inquiry. The qualitative findings highlighted the influences of growth language mindsets and perspective‐taking on FSB, with the latter moderated by learning goals and types of writing tasks. This study provides implications for improving L2 learners' growth language mindsets and perspective‐taking abilities.

Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase.

The threat power transmission and distribution projects pose to the ecological environment has been widely discussed by researchers. The scarcity of early environmental monitoring and supervision technologies, particularly the lack of effective real-time monitoring mechanisms and feedback systems, has hindered the timely quantitative identification of potential early-stage environmental risks. This study aims to comprehensively review the literature and analyze the research context and shortcomings of the advance warning technologies of power transmission and distribution projects construction period using the integrated space-sky-ground system approach. The key contributions of this research include (1) listing ten environmental risks and categorizing the environmental risks associated with the construction cycle of power transmission and distribution projects; (2) categorizing the monitoring data into one-dimensional, two-dimensional, and three-dimensional frameworks; and (3) constructing the potential environmental risk knowledge system by employing the knowledge graph technology and visualizing it. This review study provides a panoramic view of knowledge in a certain field and reveals the issues that have not been fully explored in the research field of monitoring technologies for potential environmental damage caused by power transmission and transformation projects.

Healthcare Professionals' Responses to Complaints: A Qualitative Interview Study With Patients, Carers and Healthcare Professionals Using the Theoretical Domains Framework and COM-B Model.

Patient complaints in healthcare settings can provide feedback for monitoring and improving healthcare services. Behavioural responses to complaints (e.g., talking or apologising to a patient) can influence the trajectory of a complaint for instance, whether a complaint is escalated or not. We aimed to explore healthcare professional (HCP) and service user (patient and carer) views on complaints' management and the perceived factors influencing responses to complaints within a healthcare setting by applying behavioural frameworks. A qualitative study was conducted using online or phone-based interviews with eleven HCPs and seven patients or carers. All participants (N = 18) had experience responding to or submitting a formal complaint in secondary and tertiary public healthcare settings in the United Kingdom. The interviews were structured using the Capability-Opportunity-Motivation-Behaviour (COM-B) Model. We analysed the transcripts using inductive thematic analysis. Then, themes were deductively mapped onto the COM-B Model and the more granular Theoretical Domains Framework (TDF). Ten themes were generated from the analysis representing the influences on HCPs' responses to complaints from HCP and patient/carer perspectives. This included (with TDF/COM-B in brackets): 'Knowledge of complaint procedure' (Knowledge/Capability), 'Training and level of skill in complaints handling' (Skills/Capability), 'Regulation of emotions associated with complaints' (Behavioural regulation/Capability), 'Confidence in handling complaints' (Beliefs about capabilities/Motivation), 'Beliefs about the value of complaints' (Beliefs about consequences/Motivation) and 'Organisational culture regarding complaints' (Social influences/Opportunity). Staff highlighted strong support systems and open discussions as part of positive organisational cultures regarding complaints (Social influences/Opportunity), and a lack of certainty around when to treat issues raised by patients as a formal complaint or informal feedback (Knowledge/Capability). Our study findings highlight the importance of strong support systems and organisational openness to patient feedback. These findings can be used to design targeted interventions to support more effective responses and enhance patient-centred approaches to complaints management in healthcare settings. Patient and public involvement (PPI) was integral in this research. The NIHR PRU in Behavioural and Social Sciences had a dedicated PPI strategy group consisting of six external representatives from the patient and public community (Newcastle University, 2024). These six PPI members actively participated in shaping the research by reviewing and providing feedback on all questionnaire items before the data collection. They were actively involved in supporting participant recruitment by advertising this study on their PPI platform, The VoiceR,1 and through their online social networks. During the analysis stages of the research, preliminary findings were discussed with the PPI group to support 'sense checking' and interpretation of the results.

A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial.

Technological advances allow for recording and sharing health-related data in a patient-centric way using smartphones and wearables. Secure sharing of such patient-generated data with physicians would enable close management of individual health trajectories, monitoring of risk factors, and asynchronous feedback. However, most remote patient monitoring (RPM) systems currently available are not fully integrated into hospital IT systems or lack a patient-centric design. The objective of this study was to conceptualize and implement a user-friendly, reusable, interoperable, and secure RPM system incorporating asynchronous feedback mechanisms using a broadly available consumer wearable (Apple Watch). In addition, this study sought to evaluate factors influencing patient acceptance of such systems. The RPM system requirements were established through focus group sessions. Subsequently, a system concept was designed and implemented using an iterative approach ensuring technical feasibility from the beginning. To assess clinical feasibility, the system was used as part of the activeDCM prospective randomized interventional study focusing on dilated cardiomyopathy. Each patient used the system for at least 12 months. The System Usability Scale was used to measure usability from a subjective patient perspective. In addition, an evaluation was conducted on the objective wearable interaction frequency as well as the completeness of transmitted data classified into sensor-based health data (SHD) and patient-reported outcome measures (PROMs). Descriptive statistics using box plots and bootstrapped multiple linear regression with 95% CIs were used for evaluation analyzing the influence of age, sex, device experience, and intervention group membership. The RPM system comprised 4 interoperable components: patient devices, a data server, a data viewer, and a notification service. The system was evaluated with 95 consecutive patients with dilated cardiomyopathy (28/95, 29% female; mean age 50, SD 12 y) who completed the activeDCM study protocol. The system's app achieved a mean System Usability Scale score of 78 (SD 17), which was most influenced by device experience. In total, 87% (83/95) of the patients could integrate the use of the app well or very well into their daily routine, and 71% (67/95) saw a benefit of the RPM system for management of their health condition. On average, patients interacted with the wearable on 61% (SD 26%) of days enrolled in the study. SHD were available on average for 78% (SD 23%) of days, and PROM data were available on 64% (SD 27%) of weeks enrolled in the study. Wearable interaction frequency, SHD, and PROM completeness were most influenced by intervention group membership. Our results mark a first step toward integrating RPM systems based on a consumer wearable device for primary patient input into standardized clinical workflows. They can serve as a blueprint for creating a user-friendly, reusable, interoperable, and secure RPM system that can be integrated into patients' daily routines.

Contextual barriers to infection prevention and control program implementation in hospitals in Latin America: a mixed methods evaluation

BackgroundInfection prevention and control (IPC) programs are essential to prevent and control the spread of multidrug-resistant organisms in healthcare facilities (HCFs). The current implementation of these programs in Latin America remains largely unknown.MethodsWe conducted a mixed-methods evaluation of IPC program implementation in HCFs from Guatemala, Panama, Ecuador, and Argentina, March-July 2022. We used the World Health Organization (WHO) IPC Assessment Framework (IPCAF) survey, a previously validated structured questionnaire with an associated scoring system that evaluates the eight core components of IPC (IPC program; IPC guidelines; IPC education and training; healthcare-associated infection [HAI] surveillance; multimodal strategies; monitoring and audit of IPC practices and feedback; workload, staffing, and bed occupancy; and the built environment and materials and equipment for IPC). Each section generates a score 0–100. According to the final score, the HCF IPC program implementation is categorized into four levels: inadequate (0–200), basic (201–400), intermediate (401–600), or advanced (601–800). Additionally, we conducted semi-structured interviews among IPC personnel and microbiologists using the Systems Engineering Initiative for Patient Safety model to evaluate barriers and facilitators for IPC program implementation. We performed directed content analysis of interview transcripts to identify themes that focused on barriers and facilitators of IPC program implementation which are summarized descriptively.ResultsThirty-seven HCFs (15 for-profit and 22 non-profit) completed the IPCAF survey. The overall median score was 614 (IQR 569, 693) which corresponded to an “advanced” level of IPC implementation (32% [7/22] non-profit vs. 93% [14/15] for-profit HCFs in this category). The lowest scores were in workload, staffing and bed occupancy followed by IPC training and multimodal strategies. Forty individuals from 16 HCFs were interviewed. They perceived inadequate staffing and technical resources, limited leadership support, and cultural determinants as major barriers to effective IPC guideline implementation, while external accreditation and technical support from public health authorities were perceived as facilitators.ConclusionsEfforts to strengthen IPC activities in Latin American HCFs should focus on improving support from hospital leadership and public health authorities to ensure better resource allocation, promoting safety culture, and improving training in quality improvement.

Unveiling User Sentiment: Aspect-Based Analysis and Topic Modeling of Ride-Hailing and Google Play App Reviews

Background: Mobile app usage is increasing in the digital age, with Ride-Hailing app becoming the primary example of this trend. To obtain valuable understanding of how people perceive and interact with mobile app, user reviews on platforms such as Google Play are usually analyzed. This analysis can assist developers to identify areas for improvement in both Ride-hailing and Google Play App. A promising method that can be used to analyze user perception in this instance is Aspect-Based Sentiment Analysis (ABSA). Objective: This research aimed to apply ABSA to user reviews using Bidirectional Encoder Representations from Transformers (BERT) models. In this context, aspect identification and topic modeling were performed by using Latent Dirichlet Allocation (LDA). The model extracted topics from the reviews and used Generative Artificial Intelligence (GenAI) to define the aspects of the topics to further enhance the analysis. For consistency and accuracy, the method included sentiment annotation by a human annotator. Methods: A total of two datasets were used in this research, with the first collected by scraping user reviews of Ride-Hailing App while the second was obtained from Kaggle, and to identify relevant topics, modeling was performed using LDA. These topics were then categorized into aspects using GenAI, covering areas, such as customer experience, service, payment, app features, task management, and event management. Subsequently, sentiment labeling was conducted using human annotators to provide a reliable baseline. BERT model was then used to classify sentiment with aspect hints, and the evaluation included calculations of accuracy, precision, recall, and F1-score. Results: The results showed that BERT model achieved the highest accuracy of 97% in sentiment analysis across all datasets. Conclusion: This research provided valuable understanding of user experience and established a strong ABSA framework for analyzing user reviews using LDA, Aspect Annotation, GenAI, and BERT sentiment models. Future research could expand this method to other app categories and incorporate real-time ABSA for continuous monitoring and dynamic feedback. Keywords: User Reviews, Aspect-Based Sentiment Analysis (ABSA), Sentiment Analysis, Topic Modeling, Generative Artificial Intelligence (GenAI)

Does pre-speech auditory modulation reflect processes related to feedback monitoring or speech movement planning?

Previous studies have revealed that auditory processing is modulated during the planning phase immediately prior to speech onset. To date, the functional relevance of this pre-speech auditory modulation (PSAM) remains unknown. Here, we investigated whether PSAM reflects neuronal processes that are associated with preparing auditory cortex for optimized feedback monitoring as reflected in online speech corrections. Combining electroencephalographic PSAM data from a previous data set with new acoustic measures of the same participants’ speech, we asked whether individual speakers’ extent of PSAM is correlated with the implementation of within-vowel articulatory adjustments during /b/-vowel-/d/ word productions. Online articulatory adjustments were quantified as the extent of change in inter-trial formant variability from vowel onset to vowel midpoint (a phenomenon known as centering). This approach allowed us to also consider inter-trial variability in formant production, and its possible relation to PSAM, at vowel onset and midpoint separately. Results showed that inter-trial formant variability was significantly smaller at vowel midpoint than at vowel onset. PSAM was not significantly correlated with this amount of change in variability as an index of within-vowel adjustments. Surprisingly, PSAM was negatively correlated with inter-trial formant variability not only in the middle but also at the very onset of the vowels. Thus, speakers with more PSAM produced formants that were already less variable at vowel onset. Findings suggest that PSAM may reflect processes that influence speech acoustics as early as vowel onset and, thus, that are directly involved in motor command preparation (feedforward control) rather than output monitoring (feedback control).

Impact of motivational feedback on levels of physical activity and quality of life by activity monitoring following knee arthroplasty surgery—protocol for a randomized controlled trial nested in a prospective cohort (Knee-Activity)

BackgroundEvidence on how to improve daily physical activity (PA) levels following total knee arthroplasty (TKA) or medial uni-compartmental knee arthroplasty (mUKA) by motivational feedback is lacking. Moreover, it is unknown whether a focus on increased PA after discharge from the hospital improves rehabilitation, physical function, and quality of life. The aim of this randomized controlled trial (RCT) nested in a prospective cohort is (a) to investigate whether PA, physical function, and quality of life following knee replacement can be increased using an activity monitoring device including motivational feedback via a patient app in comparison with activity monitoring without feedback (care-as-usual), and (b) to investigate the potential predictive value of PA level prior to knee replacement for the length of stay, return to work, and quality of life.MethodsThe study is designed as a multicenter, parallel-group, superiority RCT with balanced randomization (1:1) and blinded outcome assessments. One hundred and fifty patients scheduled for knee replacement (TKA or mUKA) will be recruited through Odense University Hospital, Denmark, Vejle Hospital, Denmark and Herlev/Gentofte Sygehus, Denmark. Patients will be randomized to either 12 weeks of activity monitoring and motivational feedback via a patient app by gamification or 'care-as-usual,' including activity monitoring without motivational feedback. The primary outcome is the between-group change score from baseline to 12-week follow-up of cumulative daily accelerometer counts, which is a valid proxy for average objectively assessed daily PA.DiscussionImproving PA through motivational feedback following knee replacement surgery might improve post-surgical function, health-related quality of life, and participation in everyday life.Trial registrationClinicalTrials.gov, ID: NCT06005623. Registered on 2023–08-22.Trial statusRecruiting.

ELECTRONIC ASSESSMENT ANXIETY SCALE: DEVELOPMENT, VALIDITY AND RELIABILITY

The widespread availability of internet access in daily life has resulted in a greater acceptance of online assessment methods. E-assessment platforms offer various features such as randomizing questions and answers, utilizing extensive question banks, setting time limits, and managing access during online exams. Electronic assessment enables real-time monitoring, customization, and scalability of feedback, benefiting students, academic staff, and administrative personnel. However, students encounter specific challenges in the electronic assessment environments. These challenges include limited control over test settings and the isolated nature of taking exams without peers. Furthermore, the technological proficiency of both instructors and students, along with resource constraints (computers, mobile devices, internet), can impede the effective utilization of these assessment tools. Technical issues like slow internet connection or disconnections can have significant consequences, especially in online exams, posing difficulties for corrections. The main goal of this study is to develop a Likert-type scale capable of measuring anxiety related to technical issues, social isolation, and the test interface experienced in e-assessment contexts. The study consists of two separate groups: the first group comprising 359 participants and the second group consisting of 356 participants. Both groups include undergraduate and pedagogical formation certificate program students from a university in the Eastern Anatolia Region of Turkiye. Construct validity was assessed through exploratory and confirmatory factor analyses. Item parameters were examined using item analysis based on classical test theory. As a result of the study, a two-factor scale structure comprising 21 items measuring social and technical anxiety was developed. These two dimensions account for 59.89% of the total variance. The Cronbach’s alpha coefficient for the entire scale was 0.93, the McDonald’s omega coefficient was 0.93, and the construct reliability was 0.99.

Mindfulness-based relapse prevention targeting psychological craving and trait mindfulness in young Chinese women with methamphetamine dependence: a randomized controlled trial.

We recruited 58 MA-dependent young adult females from a compulsory isolation drug rehabilitation center in Sichuan Province and randomly divided them into an MBRP group (n = 29) and a control group (n = 29) according to their degree of psychological craving. The MBRP group received 2 hours of MBRP training twice a week for 4 weeks, alongside routine treatment at the drug rehabilitation center. Meanwhile, the control group solely received routine treatment at the drug rehabilitation center without any additional interventions. The assessment was conducted before and immediately after the intervention, with the Compulsive Drug Use Scale (OCDUS) used to assess craving and the Five-Factor Mindfulness Scale (FFMQ) used to assess trait mindfulness. Also, a "mental feedback monitoring balance" instrument was used to assess concentration and relaxation during some training sessions. This randomized trial was conducted to evaluate the effectiveness of decreasing psychological craving and increasing trait mindfulness. At baseline, there were no significant differences in total or dimension scores for FFMQ or OCDUS between the two groups (all P > 0.05). After the intervention, the repeated measures ANOVA showed a significant time main effect on changes in observing, non-judging, and non-reacting scores (all P < 0.05), and a significant interaction effect between time and group on both FFMQ total score and OCDUS score (P < 0.01 or P < 0.05). Mental feedback monitoring indicated significant improvement in concentration and relaxation after breath meditation exercises (P < 0.05 or P < 0.001). Additionally, the MBRP group showed improved relaxation during the body scan exercise (P < 0.01). MBRP training can improve the trait mindfulness of MA addicts and reduce psychological cravings effectively.

Effects of delay and error in the feedback structure of ecological management

Ecosystems face various emergent uncertainties owing to factors such as climate change and accelerating anthropogenic impacts. Uncertainty is a major challenge and a barrier that ecosystem management faces, because it is difficult to precisely predict a priori risks that can have significant impacts on ecosystems. Hence, management with adaptive capacity is recommended to deal with such uncertainties, and feedback structures are central mechanisms for such flexible management. This study used mathematical models to clarify the specific impacts of feedback structures on ecosystem management, such as resource and wildlife management. In particular, the impact of errors in estimating ecosystem status when providing feedback and the impact of the time lag before feedback effects were implemented into management were examined. Overestimation of ecosystem status or a large time lag led to undesirable temporal oscillations in ecosystem status. However, these scenarios can be avoided when combined with management practices that limit the impact of management on the ecosystem, such as input control. Ecosystem management tends to have a large spatiotemporal scale, and implementing highly accurate monitoring and sophisticated feedback structures is difficult. However, the results suggest that effective ecosystem management with a simple feedback structure can be achieved through such complementary institutional design.

Effects of digital monitoring and immediate feedback on physical activity and fitness in undergraduates

Effects of digital monitoring and immediate feedback on physical activity and fitness in undergraduates

Does pre-speech auditory modulation reflect processes related to feedback monitoring or speech movement planning?

Previous studies have revealed that auditory processing is modulated during the planning phase immediately prior to speech onset. To date, the functional relevance of this pre-speech auditory modulation (PSAM) remains unknown. Here, we investigated whether PSAM reflects neuronal processes that are associated with preparing auditory cortex for optimized feedback monitoring as reflected in online speech corrections. Combining electroencephalographic PSAM data from a previous data set with new acoustic measures of the same participants' speech, we asked whether individual speakers' extent of PSAM is correlated with the implementation of within-vowel articulatory adjustments during /b/-vowel-/d/ word productions. Online articulatory adjustments were quantified as the extent of change in inter-trial formant variability from vowel onset to vowel midpoint (a phenomenon known as centering). This approach allowed us to also consider inter-trial variability in formant production and its possible relation to PSAM at vowel onset and midpoint separately. Results showed that inter-trial formant variability was significantly smaller at vowel midpoint than at vowel onset. PSAM was not significantly correlated with this amount of change in variability as an index of within-vowel adjustments. Surprisingly, PSAM was negatively correlated with inter-trial formant variability not only in the middle but also at the very onset of the vowels. Thus, speakers with more PSAM produced formants that were already less variable at vowel onset. Findings suggest that PSAM may reflect processes that influence speech acoustics as early as vowel onset and, thus, that are directly involved in motor command preparation (feedforward control) rather than output monitoring (feedback control).

KANO+QFD 모델을 기반으로 IoT 반려묘 음수기의 디지털 터미널 디자인 방향 제안

The pet supplies market is witnessing a gradual expansion, with a particularly notable increase in demand for intelligent IoT-based pet management products. In this context, consumer demands are shifting from mere interest to desires for experiences and emotional engagements. This study aims to address the prevalent issue in the current market where the majority of pet water dispensers focus solely on basic functionalities, neglecting deep user experience design. The research begins by constructing a user journey map to analyze the behavioral paths of users interacting with mobile and IoT water dispensers, thereby deriving user needs. Subsequently, a qualitative analysis based on the Kano model is conducted to determine the priorities of user satisfaction and requirements, and a Quality Function Deployment(QFD) chart is developed to analyze and quantify the importance of design requirements. The findings indicate that the importance weights of water intake statistics design requirements and water quality monitoring feedback design requirements are the highest, becoming key design considerations in the digital end-to-end system design process. Therefore, this study proposes a design direction for the IoT smart drinking system platform through the combined application of the Kano and QFD models, offering guidance on the remote user end system design for IoT pet water dispensers from a user needs perspective.

CHAT MARKETING'S IMPACT ON CUSTOMER SUPPORT SATISFACTION IN FINANCIAL STARTUPS

The subject of this paper is the influence of chat marketing on customer support satisfaction. The purpose of the study is to determine the relationship between the use of chat marketing and customer support satisfaction, as well as to identify the essential factors that contribute to this relationship. Furthermore, this paper aims to provide theoretical insights into the influence of chat marketing on customer support satisfaction in financial startups. Many companies struggle to achieve the most efficient chat session and are uncertain about the best strategies, factors and types of chat to implement. Therefore, these findings will help financial startups to theoretically understand the aspects of chat marketing and customer support satisfaction. The object of this article is the impact of chat marketing on customer satisfaction, and the purpose is to reveal theoretical knowledge that will help identify the factors that contribute to chat marketing and customer satisfaction in financial startups. This paper discusses the importance of customer support for financial startups and the different approaches to providing customer support through emotional means. In addition, this paper highlights the importance of customer satisfaction through trust and commitment to build a positive relationship with the customer. Furthermore, this paper demonstrated the framework behind chat marketing, which includes the use of different tools such as live chat platforms, chatbots and live agents or human representatives that help to achieve customer satisfaction through customer support. Moreover, using methods such as: observation, survey and regression analysis, this paper has demonstrated the importance of customer centricity in the financial sector to provide key essentials for employees as incentives that maintain customer satisfaction, while ensuring the flexibility of real-time communication with chatbots or live agents, with the need to have the ease of use and flexibility and various other factors to contribute to customer support satisfaction. As a result, the paper emphasises that in order to increase customer satisfaction with financial start-ups, it is crucial to maintain a low response rate by providing fast and reliable customer assistance. Developing and regularly updating chatbots to facilitate smooth transitions to live agents in complex situations is essential. Implementing an effective ticketing system to automate and monitor issue resolution is essential, with a focus on resolving issues during chat interactions whenever possible. Adopting a hybrid strategy that combines live agents and chatbots helps to meet diverse customer needs in a timely manner. Investing in comprehensive training for live agents is necessary to ensure professional and timely service. In addition, continuous monitoring and analysis of customer feedback plays a key role in improving overall business performance.