Real Feedback Research Articles

Patient Experiences with a Smartphone Application dedicated to postoperative recovery after Elective Arthroplasty

IntroductionIn the rapidly evolving landscape of digital health technologies, the widespread use of smartphones has paved the way for innovative applications designed to enhance healthcare experiences. This introduction underscores the global prevalence of smartphone users and their potential in healthcare, particularly exemplified by therapeutic apps such as the ‘PostOp’ smartphone application. Focused on postoperative support, this app prioritises user-friendly design, data recording, and adherence to national standards. The study aims to evaluate the app's success in achieving these objectives, highlighting its continuous improvement based on real user feedback and its potential impact on improving patient experiences and recovery processes. Methods and MaterialsA cohort of elective joint arthroplasty procedure patients at Kettering General Hospital (KGH), spanning a timeframe of one to 12 months post-surgery were surveyed over the telephone regarding their experience of the ‘Post Op’ smartphone utilising a custom, well-structured standardised questionnaire. ResultsThe study surveyed 42 consecutive patients who had undergone elective joint arthroplasty procedures at Kettering General Hospital, including 22 total hip replacement (THR) and 20 total knee replacement (TKR) patients. The respondents, with a median age of 66 years, provided overwhelmingly positive feedback about the ‘Post Op’ smartphone application. On a scale of 1 to 6, the mean ease-of-use score was 5.31, with only two THR patients providing lower scores due to difficulties with photography. However, the app's overall functionality, particularly in uploading photos, received a mean score of 4.78. Despite some technical issues, 97.6% of respondents would recommend the app, emphasising its positive impact on confidence in the recovery and reducing unnecessary healthcare visits. Narrative responses highlighted the app's simplicity, support, and prompt communication with healthcare teams. Overall, the feedback indicates a high level of satisfaction with the ‘Post Op’ application among elective arthroplasty patients, showcasing its potential benefits for postoperative care. ConclusionThe study provides valuable insights into the impact of the ‘Post Op’ smartphone application on postoperative care, acknowledging both its successes and areas for enhancement. Further research and iterative improvements are crucial for optimising patient experiences and ensuring the app aligns effectively with healthcare needs.

Computed tomography and structured light imaging guided orthopedic navigation puncture system: effective reduction of intraoperative image drift and mismatch.

Image-guided surgical navigation systems are widely regarded as the benchmark for computer-assisted surgical robotic platforms, yet a persistent challenge remains in addressing intraoperative image drift and mismatch. It can significantly impact the accuracy and precision of surgical procedures. Therefore, further research and development are necessary to mitigate this issue and enhance the overall performance of these advanced surgical platforms. The primary objective is to improve the precision of image guided puncture navigation systems by developing a computed tomography (CT) and structured light imaging (SLI) based navigation system. Furthermore, we also aim to quantifying and visualize intraoperative image drift and mismatch in real time and provide feedback to surgeons, ensuring that surgical procedures are executed with accuracy and reliability. A CT-SLI guided orthopedic navigation puncture system was developed. Polymer bandages are employed to pressurize, plasticize, immobilize and toughen the surface of a specimen for surgical operations. Preoperative CT images of the specimen are acquired, a 3D navigation map is reconstructed and a puncture path planned accordingly. During surgery, an SLI module captures and reconstructs the 3D surfaces of both the specimen and a guiding tube for the puncture needle. The SLI reconstructed 3D surface of the specimen is matched to the CT navigation map via two-step point cloud registrations, while the SLI reconstructed 3D surface of the guiding tube is fitted by a cylindrical model, which is in turn aligned with the planned puncture path. The proposed system has been tested and evaluated using 20 formalin-soaked lower limb cadaver specimens preserved at a local hospital. The proposed method achieved image registration RMS errors of 0.576 ± 0.146 mm and 0.407 ± 0.234 mm between preoperative CT and intraoperative SLI surface models and between preoperative and postoperative CT surface models. In addition, preoperative and postoperative specimen surface and skeletal drifts were 0.033 ± 0.272 mm and 0.235 ± 0.197 mm respectively. The results indicate that the proposed method is effective in reducing intraoperative image drift and mismatch. The system also visualizes intraoperative image drift and mismatch, and provides real time visual feedback to surgeons.

Real-time fMRI neurofeedback of the anterior insula using arterial spin labelling.

Arterial spin labelling (ASL) is the only non-invasive technique that allows absolute quantification of perfusion and is increasingly used in brain activation studies. Contrary to the blood oxygen level-dependent (BOLD) effect ASL measures the cerebral blood flow (CBF) directly. However, the ASL signal has a lower signal-to-noise ratio (SNR), than the BOLD signal, which constrains its utilization in neurofeedback studies. If successful, ASL neurofeedback can be used to aid in the rehabilitation of health conditions with impaired blood flow, for example, stroke. We provide the first ASL-based neurofeedback study incorporating a double-blind, sham-controlled design. A pseudo-continuous ASL (pCASL) approach with background suppression and 3D GRASE readout was combined with a real-time post-processing pipeline. The real-time pipeline allows to monitor the ASL signal and provides real-time feedback on the neural activity to the subject. In total 41 healthy adults (19-56 years) divided into three groups underwent a neurofeedback-based emotion imagery training of the left anterior insula. Two groups differing only in the explicitness level of instruction received real training and a third group received sham feedback. Only those participants receiving real feedback with explicit instruction showed significantly higher absolute CBF values in the trained region during neurofeedback than participants receiving sham feedback. However, responder analyses of percent signal change values show no differences in activation between the three groups. Persisting limitations, such as the lower SNR, confounding effects of arterial transit time and partial volume effects still impact negatively the implementation of ASL neurofeedback.

An Investigation into Student Dietitians’ Professional Development through Video-Mediated Communication Training on Patient Counselling

ABSTRACT The aim of the study is to describe a student dietitian’s professional development process in a video-mediated communication skills training cycle designed for undergraduate nutrition and dietetics education and including activities such as simulated and real patient counseling, feedback, and reflection. The design of the training cycle is inspired by (reflective) interventionist Conversation Analysis (CA) through researcher and trainer collaboration, and the data comes from the screen-recordings of video-mediated meetings. CA is used to analyze the video-mediated interactions on a moment-by-basis and trace the student dietitian’s interactional change over time. CA examination of the data showed that the trainer identified listenership in simulated sessions as an improvable practice (i.e. due to repetitive overlaps and cutoffs) and used it as the basis for the intervention. In the post-intervention period, the student dietitian observably improved her listenership both in simulated and real patient counseling sessions. The video-mediated, interventionist, reflective, and data-led cycle played a role in the development of the interactional and professional practice of the student dietitian in ways transferrable to real patient counseling. The training cycle with evidence-based lectures, data-led interventions, and simulated/real patient counseling can be integrated to dietetics education curricula both for clinical communication training and preparing for future teleconsultation practices.

Digital Twin System of Pest Management Driven by Data and Model Fusion

Protecting crops from pests is a major issue in the current agricultural production system. The agricultural digital twin system, as an emerging product of modern agricultural development, can effectively achieve intelligent control of pest management systems. In response to the current problems of heavy use of pesticides in pest management and over-reliance on managers’ personal experience with pepper plants, this paper proposes a digital twin system that monitors changes in aphid populations, enabling timely and effective pest control interventions. The digital twin system is developed for pest management driven by data and model fusion. First, a digital twin framework is presented to manage insect pests in the whole process of crop growth. Then, a digital twin model is established to predict the number of pests based on the random forest algorithm optimized by the genetic algorithm; a pest control intervention based on a twin data search strategy is designed and the decision optimization of pest management is conducted. Finally, a case study is carried out to verify the feasibility of the system for the growth state of pepper and pepper pests. The experimental results show that the virtual and real interactive feedback of the pepper aphid management system is achieved. It can obtain prediction accuracy of 88.01% with the training set and prediction accuracy of 85.73% with the test set. The application of the prediction model to the decision-making objective function can improve economic efficiency by more than 20%. In addition, the proposed approach is superior to the manual regulatory method in pest management. This system prioritizes detecting population trends over precise species identification, providing a practical tool for integrated pest management (IPM).

What’s the use of being nice? Characteristics of feedback comments that students intend to use in improving their work

Although teachers spend a lot of time striving to provide high-quality feedback, students do not always act upon it and may rate it as unhelpful. The current study attempted to determine the characteristics of feedback that influence students’ intentions to use teachers’ comments in their future work. Participants rated real feedback comments for clarity, tone and encouragement as well as their intention to use those comments if they had received them on their own work in three studies. Multiple regression analyses demonstrated that intention to use ratings were higher for comments which were ‘nice’ (supportive, encouraging, motivating, positive in tone) and ‘usable’ (clear, constructive, helpful). We argue that these data provide clear guidance for instructors as to how to approach the provision of written feedback on student work.

Cross-frequency modulation of postural fluctuations and scalp EEG in older adults: error amplification feedback for rapid balance adjustments.

Virtual error amplification (VEA) in visual feedback enhances attentive control over postural stability, although the neural mechanisms are still debated. This study investigated the distinct cortical control of unsteady stance in older adults using VEA through cross-frequency modulation of postural fluctuations and scalp EEG. Thirty-seven community-dwelling older adults (68.1 ± 3.6years) maintained an upright stance on a stabilometer while receiving either VEA or real error feedback. Along with postural fluctuation dynamics, phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC) were analyzed for postural fluctuations under 2Hz and EEG sub-bands (theta, alpha, and beta). The results revealed a higher mean frequency of the postural fluctuation phase (p = .005) and a greater root mean square of the postural fluctuation amplitude (p = .003) with VEA compared to the control condition. VEA also reduced PAC between the postural fluctuation phase and beta-band EEG in the left frontal (p = .009), sensorimotor (p = .002), and occipital (p = .018) areas. Conversely, VEA increased the AAC of posture fluctuation amplitude and beta-band EEG in FP2 (p = .027). Neither theta nor alpha band PAC or AAC were affected by VEA. VEA optimizes postural strategies in older adults during stabilometer stance by enhancing visuospatial attentive control of postural responses and facilitating the transition of motor states against postural perturbations through a disinhibitory process. Incorporating VEA into virtual reality technology is advocated as a valuable strategy for optimizing therapeutic interventions in postural therapy, particularly to mitigate the risk of falls among older adults.

Feeling of pulsations in artificial arteries with a real time haptic feedback laparoscopic grasper: a validation study

IntroductionDespite the advancements in technology and organized training for surgeons in laparoscopic surgery, the persistent challenge of not being able to feel the resistance and characteristics of the tissue, including pulsations, remains unmet. A recently developed grasper (Optigrip®) with real time haptic feedback, based on photonic technology, aims to address this issue by restoring the tactile sensation for surgeons. The key question is whether pulsations can be detected and at what minimal size level they become clinical significant.MethodsTo simulate arterial conditions during laparoscopic procedures, four different silicone tubes were created, representing the most prevalent arteries. These tubes were connected to a validated pressure system, generating a natural pulse ranging between 80 and 120 mm Hg. One control tube without pressure was added. The surgeons had to grasp these tubes blindly with the conventional grasper or the haptic feedback grasper in a randomized order. They then indicated whether they felt the pressure or not and the percentage of correct answers was calculated.ResultsThe haptic grasper successfully detected 96% of all pulsations, while the conventional grasper could only detect 6%. When considering the size of the arteries, the Optigrip® identified pulsations in 100% the 4 and 5 mm arteries and 92% of the smallest arteries. The conventional grasper was only able to feel the smallest arteries in 8%. These differences were highly significant (p < 0.0001).ConclusionThis study demonstrated that the newly developed haptic feedback grasper enables detection of arterial pulsations during laparoscopy, filling an important absence in tactile perception within laparoscopic surgery.

The Design and Implementation of Junior High School English Reading Teaching Activities Guided by the Concept of Authenticity

Based on the concept of authenticity, this paper explores how to create real situations, design real questions and implement real feedback in the reading class of English for People's Education Press, so as to arouse students' deep emotions, truly mobilize students' thinking to solve practical problems, and promote the consolidation of new knowledge in immediate feedback. Finally improve the core quality of students' English subject.

User Experience in Neurofeedback Applications Using AR as Feedback Modality

Neurofeedback (NF) is a brain–computer interface in which users can learn to modulate their own brain activation while receiving real-time feedback thereof. To increase motivation and adherence to training, virtual reality has recently been used as a feedback modality. In the presented study, we focused on the effects of augmented reality (AR) based visual feedback on subjective user experience, including positive/negative affect, cybersickness, flow experience, and experience with the use of this technology, and compared it with a traditional 2D feedback modality. Also, half of the participants got real feedback and the other half got sham feedback. All participants performed one NF training session, in which they tried to increase their sensorimotor rhythm (SMR, 12–15 Hz) over central brain areas. Forty-four participants received conventional 2D visual feedback (moving bars on a conventional computer screen) about real-time changes in SMR activity, while 45 participants received AR feedback (3D virtual flowers grew out of a real pot). The subjective user experience differed in several points between the groups. Participants from the AR group received a tendentially higher flow score, and the AR sham group perceived a tendentially higher feeling of flow than the 2D sham group. Further, participants from the AR group reported a higher technology usability, experienced a higher feeling of control, and perceived themselves as more successful than those from the 2D group. Psychological factors like this are crucial for NF training motivation and success. In the 2D group, participants reported more concern related to their performance, a tendentially higher technology anxiety, and also more physical discomfort. These results show the potential advantage of the use of AR-based feedback in NF applications over traditional feedback modalities.

Coaching medical students to give quality feedback.

An innovative feedback training session for medical students using assessment of real feedback examples &amp; role play of high‐frequency scenarios decreased the occurrence of unprofessional feedback.

A Novel DAO-Based Parallel Enterprise Management Framework in Web3 Era

This article proposes a novel parallel management mode based on decentralized autonomous organizations (DAOs) for enterprises by utilizing the artificial systems, computational experiments, parallel execution (ACP) approach, parallel intelligence theory, and blockchain technologies, to realize the distributed management of an enterprise. The artificial enterprise DAO (EnDAO) corresponding to the actual enterprise is constructed, and they constitute a parallel system via virtual–real interaction and parallel execution. Through the non-fungible token (NFT)-based incentive mechanism, metaverse-based virtual learning and training, as well as DAO-based distributed management and decision-making, the management and control of the actual enterprise as well as its employees can be carried out. By virtue of the virtual–real interactions of three types of employees, as well as the virtual–real feedback of three closed loops in the parallel systems, DAO-based parallel management for enterprises can realize descriptive intelligence, predictive intelligence, and prescriptive intelligence. On this basis, this article takes the recruitment-oriented key performance indicator (KPI) management of a startup technology enterprise as the case to introduce the operation processes and illustrate the superiorities of the proposed DAO-based enterprise parallel management mode.

Mixed-Reality-Based Teleoperation Grasping Control

Abstract Traditionally, teleoperation means that the system sends a series of signal commands from the master while the slave manipulator receives and realizes the desired control operations. For the purpose of implementing more dexterous and complex tasks, we propose a novel framework with dual-hand master teleoperation systems under time-varied delays. In this paper, we emphasize studying the bilateral grasping teleoperation control, as the time delay causes a communication outage. Combining a wave-variable structure with a four-channel framework, an event-trigger-based bilateral sliding mode teleoperation control and an adaptive neural network are designed to effectively achieve master-slave trajectory tracking. In the virtual 3D environment, we created a mixed-reality interface based on dual-hand master teleoperation control that effectively responded to the two Omni manipulators' position transformation of the virtual manipulator. The time delay between the real slave force feedback and the virtual interface is addressed by designed event-trigger-based control in order to efficiently reduce the impact of time communication outage. The system's stability is analyzed and robot experiments are performed. From the experimental results, the telepresence platform innovatively applied virtual force feedback to reveal the soft target grasping and to accurately estimate the interactive force, enabling sensorless force feedback control.

Endoscopic Endonasal Trans-Sphenoidal Minimally Invasive Pituitary Surgery with Image Guided Navigation System (Igns): Learning Experience of Ent Surgeon: First Author.

During the period of April 2015 to August 2022 a total 104 patients, diagnosed with pituitary adenoma underwent surgery and further followed up in a multidisciplinary team approach in a tertiary care hospital of Kolkata, India. The data obtained were reviewed statistically to satisfy the study objectives. Total 104 operations were done on 98 patients and total cases taken for calculation and analysis was 98, which consist of 11 microadenomas, 81 macroadenomas. Among 35 patients with normal preoperative hormonal assay, one patient developed postoperative hypopituitarism. Among 6 patients with preoperative hypopituitarism 4 patients (66.6%) recovered after surgery. Overall, 85 cases had total disease clearance as detected on post-operative MRI. In functioning pituitary adenoma (FPA) clinical and endocrinological improvement occurred after primary surgery in 85.36% (n = 35) and after revision surgery it was 84.44% (n = 38). Macroadenomas, giant adenomas were found to have statistically significant higher risk of incomplete disease clearance but large adenomas do not have statistically higher risk of incomplete clearance. IGNS requires extra time for setup, but with proper registration of tracker instruments it adds precision to the surgery. IGNS supplements endoscopic visualization with localization of target lesion by real time stereotactic feedback using preset preoperative imaging data, thus increasing accuracy, safety and effectiveness of minimally invasive surgery.

An Automated Electronic System in a Motorized Wheelchair for Telemonitoring: Mixed Methods Study Based on Internet of Things.

Wheelchair positioning systems can prevent postural deficits and pressure injuries. However, a more effective professional follow-up is needed to assess and monitor positioning according to the specificities and clinical conditions of each user. This study aims to present the concept of an electronic system embedded in a motorized wheelchair, based on the Internet of Things (IoT), for automated positioning as part of a study on wheelchairs and telemonitoring. We conducted a mixed methods study with a user-centered design approach, interviews with 16 wheelchair users and 66 professionals for the development of system functions, and a formative assessment of 5 participants with descriptive analysis to design system concepts. We presented a new wheelchair system with hardware and software components developed based on coparticipation with singular components in an IoT architecture. In an IoT solution, the incorporation of sensors from the inertial measurement unit was crucial. These sensors were vital for offering alternative methods to monitor and control the tilt and recline functions of a wheelchair. This monitoring and control could be achieved autonomously through a smartphone app. In addition, this capability addressed the requirements of real users. The technologies presented in this system can benefit telemonitoring and favor real feedback, allowing quality provision of health services to wheelchair users. User-centered development favored development with specific functions to meet the real demands of users. We emphasize the importance of future studies on the correlation between diagnoses and the use of the system in a real environment to help professionals in treatment.

Eğitim Teknolojilerinin Öğrenmedeki Rolü ile Bilişim ve İletişim Açısından Çok Kültürlülük ve Çok Dillilik

Abstract Within the framework of learning, online learning pedagogy and technology-assisted learning (online or electronic learning) are known to help create effective and rich learning environments and processes by eliminating space and time barriers. In such an environment, there is a question of the emergence of a new pedagogy. It has often been discussed how different electronic learning is from traditional learning environments. A large number of pedagogical approaches have been developed on electronic learning, which underlie the learning and teaching processes and practices carried out in schools, universities, home environments. Since computers and the Internet are involved for any learning and teaching method, electronic learning covers a wide pedological approach from problem-oriented learning to Simulator learning. Attention should be paid to how learning technologies will provide individual students with basic pedagogy and guidance on learning performances, where real learning difficulties and feedback are concerned. Proponents of the structural view assert that learning is a process that takes place through activity and advocate that feedback should be provided individually. Learning experience with a constructive, comparative and exploratory nature thanks to new technologies, motivation to learn is increasing, and self-confidence and independent learning are supported with the new virtual reality. While there is a direct one-sided interaction related to the subject to be learned in the traditional learning method, a two-sided learning process is achieved with other learners and learning material thanks to new technologies. New learning models developing in parallel with different approaches have discovered the constructivist learning method (constructivism), arguing that learning will happen spontaneously, with participant-centered and computer-aided education and knowledge creation processes, individuals should no longer worry too much about their own learning. Key Words: Educational Technologies, Informatics, Communication, Multiculturalism, Multilingualism

Modern Machiavelli? The illusion of ChatGPT-generated patient reviews in plastic and aesthetic surgery based on 9000 review classifications

Online patient reviews are crucial in guiding individuals who seek plastic surgery, but artificial chatbots pose a threat of disseminating fake reviews. This study aimed to compare real patient feedback with ChatGPT-generated reviews for the top five US plastic surgery procedures. Thirty real patient reviews on rhinoplasty, blepharoplasty, facelift, liposuction, and breast augmentation were collected from RealSelf and used as templates for ChatGPT to generate matching patient reviews. Prolific users (n=30) assessed 150 pairs of reviews to identify human-written and artificial intelligence (AI)-generated reviews. Patient reviews were further assessed using AI content detector software (Copyleaks AI). Among the 9000 classification tasks, 64.3% and 35.7% of reviews were classified as authentic and fake, respectively. On an average, the author (human versus machine) was correctly identified in 59.6% of cases, and this poor classification performance was consistent across all procedures. Patients with prior aesthetic treatment showed poorer classification performance than those without (p<0.05). The mean character count in human-written reviews was significantly higher (p<0.001) that that in AI-generated reviews, with a significant correlation between character count and participants' accuracy rate (p<0.001). Emotional timbre of reviews differed significantly with "happiness" being more prevalent in human-written reviews (p<0.001), and "disappointment" being more prevalent in AI reviews (p=0.005). Copyleaks AI correctly classified 96.7% and 69.3% of human-written and ChatGPT-generated reviews, respectively. ChatGPT convincingly replicates authentic patient reviews, even deceiving commercial AI detection software. Analyzing emotional tone and review length can help differentiate real from fake reviews, underscoring the need to educate both patients and physicians to prevent misinformation and mistrust.

Does the Physical Attractiveness of Instagram Influencers Affect Moroccan Consumer Behavior? A Dyadic Analysis: Influencer vs. Consumer

The phenomenon of social network influencers has become vital in the advertising world, so the main objective of this study is to determine the effect of the physical attractiveness of influencers on the attitude and purchase intention of Moroccan consumers on Instagram, based on a comparative analysis between the opinions of influencers and consumers on the subject. We opted for a qualitative study, in the form of semidirective interviews, with two groups of ten people each, which consist of 10 highly followed influencers in Morocco and 10 Moroccan consumers, with particular specificities, to obtain relevant results. The results of the present research show that the physical attractiveness of the influencer has a positive effect on the attitude and purchase intention of Moroccan consumers, nevertheless, its effect remains limited depending on the nature of the endorsed product. In addition, we were able to identify negative effects reported by both groups of interviewees, illustrating that the influencer’s physical attractiveness can be detrimental to the mental and psychological health of Moroccan consumers, provoking a harmful and destructive comparison to their selfesteem. Today’s consumer needs a human reference, real feedback, and proximity to the product, hence the integration of all the elements specific to humans, while also considering their imperfections and defects.

An innovative conceptual model for education and training on hybrid warfare

Abstract This study aims to present an innovative conceptual model of learning, teaching, and training that appears to be applicable to the field of hybrid warfare. It is based on integrating three critical elements such as reference curriculum, teaching methodology, and online support capabilities. By using qualitative research through correlating critical analysis of relevant sources, logical scheme, and cognitive task analysis, each descriptive element is analysed in order to provide an eloquent image of the proposed conceptual model. Also, to gain real feedback on the proposed model as well as on its constitutive elements, the quantitative research using statistical data grouping is performed. The analysis and interpretation of the collected data demonstrate not only a high interest in the designed conceptual model, but also a positive impact at the level of each descriptive element on the academic staff and students from the military and civilian university environment.

Development of an APPLE III undulator prototype with three-dimensional force compensation for SHINE

The Shanghai high-repetition-rate XFEL and extreme light facility (SHINE) plans to install several elliptically polarizing undulators (EPUs) as afterburners behind the planar undulator section to obtain nearly saturated circularly polarized free-electron laser (FEL) radiation. Therefore, the SHINE R&amp;amp;D project needs to develop a 4-m-long EPU with an effective magnetic field of 1.5 T, a period of 68 mm, and a minimum gap of 3 mm. A magnetic force compensation EPU prototype has recently been built and tested at the Shanghai Synchrotron Radiation Facility (SSRF) based on the addition of permanent magnets. This prototype can realize magnetic compensation under various polarization modes in all working gaps, thereby reducing the deformation of the girders and maintaining sufficient rigidity of the mechanical structure. A girder deformation monitoring system was established to obtain real force compensation feedback. The final magnetic field measurement results meet the physical requirements, and the proposed scheme can be used as an alternative to the EPU with a high magnetic field and large magnetic force.