Feedback Scheme Research Articles

The Asymmetries in Straight Jumps on the Trampoline Under Different Sensory Conditions

The trampoline is a popular piece of sports equipment both for recreational use and for Olympic trampolining as a competitive sport. Maintaining body position during jumps is influenced by sensory inputs (visual, auditory, and somatosensory) and symmetrical muscle activity that help athletes to perform consecutive jumps as vertically as possible. To evaluate the effects of these inputs, 15 male and 15 female students (with an average age of 24.4 years, height of 174.3 cm, and average weight of 69.7 kg) performed 10 consecutive straight jumps under four sensory conditions: (1) looking at the edge of the trampoline, (2) without sight, (3) without hearing, and (4) without hearing or sight. Using insoles with integrated pressure sensors (Pedar®, novel GmbH, Munich, Germany), the contact forces on the trampoline during the jump were measured separately for the left and right feet. The results showed that the lack of visual input significantly shortened flight times and increased the asymmetry of ground reaction forces between the left and right legs. For example, in the second series without vision, the average normalized force difference between the legs increased by 0.33 G compared to the control condition. An ANOVA revealed significant differences in the ground reaction forces between sensory conditions, with vision playing a key role in maintaining body control. These results provide practical insights for coaches looking to improve jumping performance and address asymmetries during training by focusing on sensory feedback strategies.

The Effectiveness of Two Feedback Strategies for Teaching Vocabulary Among EFL Students

The current research aims to assess the effectiveness of two feedback strategies, (positive and corrective feedback), in enhancing the acquisition of English language vocabulary among first year students who studied English as foreign language in the English Language Department at the College of Education for women, Tikrit University, Iraq , The study is quantitative study utilizes an experimental approach, with a quasi-experimental design involving pre-test and post-test assessments, The study sample included 120 first-year students and they were divided into two experimental groups (the first included 40 students studying with corrective feedback), the second (included 40 students studying with positive feedback), and the third (control group included 40 students who did not receive any feedback). To achieve the aim of the study, a vocabulary acquisition test consisting of 60 multiple-choice items is designed, after ensuring the validity and reliability of the test by using suitable statistics methods. The test is applied pre and post to the three groups The answers are collected, and the arithmetic averages and statistical significance were calculated by using ( spss software program ) the results shows that : Both ,the corrective and positive feedback strategies have a significant impact on students' vocabulary acquisition. There were statistically significant differences at the 0.05 significance level between the students in the first experimental group, who were taught using corrective feedback, and those in the control group, who were taught using traditional methods, in favor of the experimental group. There are statistically significant differences at the 0.05 significance level between the students in the second experimental group, who were taught using positive feedback, and those in the control group, who were taught using traditional methods, in favor of the experimental group. There are also statistically significant differences at the 0.05 significance level between the students in the first experimental group, who were taught using corrective feedback, and those in the second experimental group, who were taught using the positive feedback strategy, in favor of the corrective feedback.

How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety

ABSTRACT Conditional driving automation (CDA, Level 3) vehicles will become widespread in the next few years. The driver only needs to take over the vehicle in an emergency and pay attention to the feedback from the vehicle. However, the mechanism by which feedback strategies and drivers' emotional factors influence drivers' levels of trust in automation is not clear. This study compares the effect of three road condition feedback strategies on drivers' trust in automation: no feedback, concentrated feedback (multiple feedback messages are presented together before the takeover request is issued) and real-time feedback (the road condition messages are fed in real time based on changes in the external environment). The mediating effect of anxiety in the relationship is also examined by a within-subjects factorial simulated driving experiment (N = 41). The anxiety score was significantly lower in the real-time feedback group than in the other two groups, but the level of trust in automation was significantly higher. Furthermore, an analysis of the mediating effect showed that anxiety plays a fully mediating role in the relationship between real-time feedback and the level of trust in automation. This finding will help professionals design more trustworthy feedback strategies from a psychological perspective.

Initial results from neoclassical tearing mode stabilization experiment in KSTAR high normalized beta plasmas

Abstract Active stabilization of neoclassical tearing modes (NTMs) is critical for high beta plasma operation in the KSTAR tokamak. In recent device operation, an experiment was conducted to develop a m/n = 2/1 NTM stabilization in high normalized beta (βN) plasmas having βN > 3 by using electron cyclotron current drive (ECCD). The experiment is designed to first demonstrate the direct mode stabilization effect of the device EC system by varying the ECCD deposition location around the mode rational surface to prepare for future NTM stabilization in KSTAR using feedback schemes. In the experiment, the toroidal magnetic field strength, BT, is reduced to 1.5–1.6 T to create a highly localized ECCD profile on a large island width expected to produce a high stabilization effect. To align the ECCD with the mode, BT is varied between discharges by keeping the EC wave injection angles fixed to move the current deposition location across the q = 2 mode rational surface in ~1 cm steps along the plasma midplane. The result shows a prompt reduction of the mode amplitude by ~60% with a partial recovery of the loss of stored energy when the ECCD with 0.7 MW power is applied promptly after the mode onset at BT = 1.54 T. This abrupt reduction of the mode amplitude is significantly weaker or disappears in other discharges having slightly different BT in which the ECCD is deposited a few centimeters away. This result indicates a direct interaction between the driven EC current and the radially localized island structure first observed in the device. The EC ray-tracing analysis using the TORAY code shows that the applied EC-driven current aligns with the mode rational surface when the mode amplitude is observed to decrease. The stability of the observed 2/1 NTM is examined by constructing the modified Rutherford equation (MRE). The calculated EC power requirement for complete mode stabilization by assuming perfect alignment of ECCD on the mode is 0.8-1.7 MW by considering the uncertainties in the equation. This MRE-computed mode stability agrees with the experiment. The result projects that the present KSTAR EC system can stabilize the 2/1 NTM disrupting high βN plasmas, and provides the requirement of the mode-ECCD alignment for complete mode stabilization in future experiments in which an accurate alignment is planned to be made by feedback schemes being developed.

A new approach to continuous assessment: Moving from a stressful sum of grades to meaningful learning through self-reflection

This paper proposes a new approach of continuous assessment of a formative nature, aimed at achieving meaningful learning with lower stress levels. This approach minimizes the punitive nature of traditional summative continuous assessment and replaces typical graded activities with self-reflecting ones. To conduct the formative evaluation, a teaching model has been developed to guide the choice of feedback and feed-forward strategies to be implemented by the instructors, depending on the students’ levels of competence and confidence. To validate the effectiveness of this approach, a quasi-experimental design was employed, with the new continuous assessment method in the experimental group and the summative continuous assessment method in the control group. The experiment was conducted in a Mathematics course with undergraduate Economics and Business students. Data were collected through test scores and a perception questionnaire. The results indicate that the new evaluation method promotes meaningful learning and yields better academic results compared to the traditional continuous evaluation. Students expressed high satisfaction with the new approach, noting that it allows them to understand their formative status and address deficiencies before undertaking evaluable activities. They also believe this strategy helps reduce the stress associated with the summative evaluation itself.

Fall prevention among psychiatric patients in an Iranian hospital: a best practice implementation project.

Falls are the main cause of disability among psychiatric patients, as well as being the most common adverse event in hospitals. The aim of this evidence implementation project was to improve fall prevention and management among psychiatric patients in a neurology ward in an Iranian tertiary psychiatric hospital. This project used the JBI Evidence Implementation Framework, which recommends an audit, feedback, and re-audit strategy. A baseline audit was conducted to evaluate current fall prevention practices among 50 psychiatric patients and 20 health care professionals. The baseline audit was used to identify gaps in compliance. After the implementation of improvement strategies, a follow-up audit was conducted to measure any changes in practice. The baseline and follow-up audits revealed that compliance with best practices improved in ward transfer fall risk assessment (Criterion 2: 87% to 90%), patient participation in fall risk assessment (Criterion 3: 95% to 96%), revising patient fall risk status (Criterion 9: 50% to 86%), and person-centered education of health care providers (Criterion 11: 78% to 96%). Other audit criteria remained unchanged. However, for Criterion 6 on patient engagement in goal-setting and treatment planning, compliance dropped from 100% at baseline to 94% at follow-up. This project successfully increased evidence-based practices regarding fall prevention and management, as well as providing mechanisms for sustaining the practice changes. Future audits are required to further improve outcomes. http://links.lww.com/IJEBH/A267.

High voltage formation using the amplifiers cascading method

The dividing of high voltage broadband non-inverting cascade amplifiers into separate cascades, each of which has independent power sources, is suggested. These cascades are connected to one another in series, switching on the operational amplifiers and the feedback links. The gain of each cascade is determined by the non-inverting scheme of feedback that assures accurate signal processing. To provide stable and effective functioning, the operational amplifiers are supplied with power from transistor repeaters. That assures the required feeding voltage levels. Due to the thorough selection of the gain factor and feeding source voltage, the amplifier system achieves the expended output voltage range.

The Role of Teacher Feedback in Enhancing ESL Learners' Writing Proficiency

Teacher feedback plays a vital role in enhancing writing proficiency among ESL learners. This paper explores how different types of feedback—direct, indirect, formative, and summative—impact learners’ language development, with a focus on improving grammar, structure, and content in writing. By combining error correction with opportunities for learners to engage in self-reflection and revision, feedback helps students develop a deeper understanding of language mechanics and fosters learner autonomy. However, challenges such as the heavy workload for teachers, varying student receptiveness, and balancing constructive criticism with motivation are significant considerations in delivering effective feedback. This study also highlights case studies that demonstrate the practical application of feedback strategies in diverse ESL classrooms. Overall, the role of feedback in ESL writing instruction is essential for promoting sustained improvement and developing students’ confidence and independence in writing. The article concludes with recommendations for balancing personalized feedback with innovative teaching practices to enhance ESL learners' writing proficiency.

Portfolio optimization with feedback strategies based on artificial neural networks

Dynamic portfolio optimization has significantly benefited from a wider adoption of deep learning (DL). While existing research has focused on how DL can applied to solving the Hamilton–Jacobi–Bellman (HJB) equation, some very recent developments propose to forego the derivation of HJB in favor of empirical utility maximization over dynamic allocation strategies expressed through artificial neural networks. In addition to simplicity and transparency, this approach is universally applicable, as it is essentially agnostic about market dynamics. We apply it to optimal portfolio allocation between cash account and risky asset following Heston model. The results appear on par with theoretical ones.

Quantum Fluctuation Theorem for Arbitrary Measurement and Feedback Schemes.

Fluctuation theorems and the second law of thermodynamics are powerful relations constraining the behavior of out-of-equilibrium systems. While there exist generalizations of these relations to feedback controlled quantum systems, their applicability is limited, in particular when considering strong and continuous measurements. In this Letter, we overcome this shortcoming by deriving a novel fluctuation theorem, and the associated second law of information thermodynamics, which remain applicable in arbitrary feedback control scenarios. In our second law, the entropy production is bounded by the coarse-grained entropy production that is inferrable from the measurement outcomes, an experimentally accessible quantity that does not diverge even under strong continuous measurements. We illustrate our results by a qubit undergoing discrete and continuous measurement, where our approach provides a useful bound on the entropy production for all measurement strengths.

Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations

Objective.To investigate the feasibility of delivering multidimensional feedback using a single channel of peripheral nerve stimulation by complementing intensity percepts with flutter frequency percepts controlled by burst period modulation.Approach.Two dimensions of a distally referred sensation were provided simultaneously: intensity was conveyed by the modulation of the pulse charge rate inside short discrete periods of stimulation referred to as bursts and frequency was conveyed by the modulation of the period between bursts. For this approach to be feasible, intensity percepts must be perceived independently of frequency percepts. Two experiments investigated these interactions. A series of two alternative forced choice tasks (2AFC) were used to investigate burst period modulation's role in intensity discernibility. Magnitude estimation tasks were used to determine any interactions in the gradation between the frequency and intensity percepts.Main results.The 2AFC revealed that burst periods can be individually differentiated as a gradable frequency percept in peripheral nerve stimulation. Participants could correctly rate a perceptual scale of intensity and frequency regardless of the value of the second, but the dependence of frequency differentiability on charge rate indicates that frequency was harder to detect with weaker intensity percepts. The same was not observed in intensity differentiability as the length of burst periods did not significantly alter intensity differentiation. These results suggest multidimensional encoding is a promising approach for increasing information throughput in sensory feedback systems if intensity ranges are selected properly.Significance.This study offers valuable insights into haptic feedback through the peripheral nervous system and demonstrates an encoding approach for neural stimulation that may offer enhanced information transfer in virtual reality applications and sensory-enabled prosthetic systems. This multidimensional encoding strategy for sensory feedback may open new avenues for enriched control capabilities.

Unleashing the potential of Indonesian EFL high school students' writing proficiency and self-regulated learning through written corrective feedback

Despite the existence of many studies on EFL student writing proficiency, little work reports how written corrective feedback influences EFL senior high school students’ self-regulated learning. This study aimed to explore the extent to which EFL high school students prefer types of written corrective feedback strategies in their written work and the impacts on their self-regulated learning. Employing an explanatory mixed-method approach, we combined quantitative data from a 5-point Likert scale questionnaire with qualitative data gathered through semi-structured interviews. Thirty-two EFL senior high school students participated in this study. A descriptive statistical method was utilized to analyze the questionnaire, while a thematic analysis was done on the interview data. The findings revealed that direct feedback was the most preferred among the various strategies of written corrective feedback, closely followed by metalinguistics feedback. Additionally, students perceived that written corrective feedback highly contributed to fostering their self-regulated learning. Thus, this study implies that teachers should be more mindful of students' preferences when providing corrective feedback.

Improving student outcomes using automated feedback in a first-year economics class

The assessment literature advocates utilising formative assessment strategies to support and enhance student learning. This study uses online practice tests with inbuilt feedback, that students could repeatedly use, as a formative feedback strategy in a first-year introductory microeconomics module. The key question explored is whether repeated engagement with online practice tests had a statistically significant impact on students’ subsequent performance on a summative assessment. Quantitative engagement and performance data (N = 223) were collected from a cohort of first-year students. An analysis of this data reveals that engaging with the online practice test multiple times has a statistically significant impact on final performance. Controlling for the mid-term grade, on average, each cycle of ‘seeking and acting’ increases grades in the final exam by 1.3 % (p = 0.003). Hence, the data suggests that incorporating multiple opportunities to take an online practice test, which includes feedback, is an important feature of the strategy. A smaller sample of qualitative survey data (N = 131) reveals that these economics students hold traditional views of feedback with little awareness of their own role in seeking and acting on feedback. We argue that formative practice tests have the potential to support the development of student feedback literacy.

Radiation-hardened latch design with triple-node-upset recoverability

As CMOS technology scales down the susceptibility of integrated circuits to radiation effects makes them vulnerable to single-event upsets (SEUs) that may cause the formation of soft errors. In nanometer technologies, SEUs have the potential to impact many nodes within a circuit, resulting to Multiple Node Upsets (MNUs). Several techniques have been proposed to deal with SEUs that simultaneously influence either one, two, or three nodes. This paper presents a latch design that is capable of tolerating up to triple-node upsets (TNUs). Hardware redundancy is exploited to store data in many nodes inside the latch, along with a multiple feedback scheme that provides the recovery of the correct latch state in the case of SEUs. The proposed method provides faster recovery time after an SEU, and at the same time reduced power-delay and area-power-delay products with respect to existing solutions in the literature.

Use and application of wearable technology in football further education settings in the UK

ABSTRACT The increase in the number of football-specific industry-related qualifications offered by the post-16 education sector has grown exponentially in recent years. Due to technological advancements and access to enhanced equipment, these courses tend to include wearable technology in their curricular to support student cohorts understanding of specific internal and external load patterns. Despite these technological and education developments, there is a dearth of pedagogic research on the application of various wearable technology in post-16 football education. Using a mixed-method research design, we established the type of technology, and how it is being employed across a range of post-16 educational settings. Survey responses suggested that Global Positioning System (GPS) vests and heart rate chest strap were the most prominent wearable technology. Qualitative findings suggested that there are pedagogic challenges and barriers to using this kind of technology, a lack of understanding, and poor feedback and communication strategies. Having established some preliminary findings, a series of 1–1 interviews with identified practitioners working in post-16 educational settings explored these barriers and challenges within contextualised settings in more depth. The results identified disconnect between coaching performance and coaching education, suggesting a lack of knowledge surrounding the uses and capabilities of wearable technology used in football-related FE settings. These findings can help sport, academia and the technology industry to better align and understand in order to meet the educational needs of students seeking to enter a career in sports such as football that use wearable technology.

Prevention and management of allergic-like reactions to iodine contrast media: a best practice implementation project.

With the wide application of iodine contrast media (ICM), the occurrence of allergic-like reactions to iodine contrast media (ALR-ICM) has increased. Strategies for the prevention and management of ALR-ICM need to be identified to provide quality care to patients undergoing enhanced computed tomography. The overarching aim of this project was to improve the prevention and management of ALR-ICM at a medical imaging center of a nearly 5,000-bed tertiary hospital in China. This project was guided by the JBI Evidence Implementation Framework, which is grounded in an audit, feedback, and re-audit strategy. A baseline audit was conducted to measure current practices against recommended best practices. Feedback from the audit was used to identify barriers and design strategies to improve practice. A follow-up audit was conducted to measure changes in compliance with best practices. The results revealed a positive change in compliance with best practices. More than 60% compliance with the four audit criteria was observed. The overall ALR-ICM rate decreased from 0.56% to 0.19%, while emergency equipment management dramatically increased from 37.50% to 100%. The smallest improvement was observed for pre-procedure prophylactic treatment of high-risk patients (27.66%). Most audit criteria showed moderate improvements in compliance with best practices. Further testing of this program in more hospitals is needed. http://links.lww.com/IJEBH/A269.

Implementation of a heart failure disease management program in the rural southern United States: a best practice implementation project.

Heart failure affects thousands of patients annually, often resulting in hospitalization, emergency room visits, and decreased quality of life. The scientific evidence indicates that disease management programs using a multidisciplinary approach improve outcomes for heart failure patients. The overarching aim of this evidence implementation project was to establish a disease management program for heart failure patients. Specifically, the project sought to promote compliance with best practices for the early identification of heart failure exacerbation symptoms to prevent emergency room visits and hospitalizations, thereby reducing morbidity and mortality. This project was guided by the JBI Evidence Implementation Framework, which is grounded in an audit, feedback, and re-audit strategy. A baseline audit was conducted, revealing the need for a heart failure disease management program. A policy was developed to implement a disease management program and virtual relationships were established to create a multidisciplinary team. A follow-up audit was conducted to determine whether the implemented interventions closed the gap in practice identified by the baseline audit. The baseline audit revealed 0% compliance with best practices for the management of patients with heart failure, while the follow-up audit revealed 93.3% compliance. This project enhanced best practices by implementing a protocol in a rural health clinic to ensure that all heart failure patients were enrolled in a disease management program. Recommendations include using the electronic health record to quickly identify heart failure patients and their status in a disease management program. Chart audits should be performed every 6 months to ensure the program's sustainability and to determine heart failure patients' enrollment status. http://links.lww.com/IJEBH/A270.

Tip and vibration control of space robots using estimated flexible coordinates

This paper provides an extension to previous work on end-effector control of flexible space manipulators. Those works considered the use of a special output called the μ-tip rate for feedback control of desired end-effector trajectories with simultaneous vibration control. Implementation of this special output requires measurement of end-effector position or the use of flexible forward kinematics to determine it. For the latter, one requires measurements of the joint angles and flexible coordinates. The second of these is difficult to measure in space scenarios, so this paper looks at the use of an estimation scheme to approximate it and use it in a task-space control law. Multiple simulations are conducted to investigate the use of these approximated elastic coordinates in robustly controlling a one-link and two-link flexible manipulator with a payload mass. The error between desired and actual trajectory is calculated, and the results are juxtaposed with results from a joint-space feedback scheme. There is an emphasis on comparing the estimated elastic coordinates with the actual simulated coordinates. Using the estimated elastic coordinates to determine the end-effector location via forward kinematics, yielded similar results to when the actual elastic coordinates were used. Overall, the estimation equation used is shown to provide reasonable end-effector tracking results with the end-effector being able to track various types of trajectories.

Exploring Adaptive Virtual Reality Systems Used in Interventions for Children With Autism Spectrum Disorder: Systematic Review.

Adaptive systems serve to personalize interventions or training based on the user's needs and performance. The adaptation techniques rely on an underlying engine responsible for processing incoming data and generating tailored responses. Adaptive virtual reality (VR) systems have proven to be efficient in data monitoring and manipulation, as well as in their ability to transfer learning outcomes to the real world. In recent years, there has been significant interest in applying these systems to improve deficits associated with autism spectrum disorder (ASD). This is driven by the heterogeneity of symptoms among the population affected, highlighting the need for early customized interventions that target each individual's specific symptom configuration. Recognizing these technology-driven therapeutic tools as efficient solutions, this systematic review aims to explore the application of adaptive VR systems in interventions for young individuals with ASD. An extensive search was conducted across 3 different databases-PubMed Central, Scopus, and Web of Science-to identify relevant studies from approximately the past decade. Each author independently screened the included studies to assess the risk of bias. Studies satisfying the following inclusion criteria were selected: (1) the experimental tasks were delivered via a VR system, (2) system adaptation was automated, (3) the VR system was designed for intervention or training of ASD symptoms, (4) participants' ages ranged from 6 to 19 years, (5) the sample included at least 1 group with ASD, and (6) the adaptation strategy was thoroughly explained. Relevant information extracted from the studies included the sample size and mean age, the study's objectives, the skill trained, the implemented device, the adaptive strategy used, the engine techniques, and the signal used to adapt the systems. Overall, a total of 10 articles were included, involving 129 participants, 76% of whom had ASD. The studies included level switching (7/10, 70%), adaptive feedback strategies (9/10, 90%), and weighing the choice between a machine learning (ML) adaptive engine (3/10, 30%) and a non-ML adaptive engine (8/10, 80%). Adaptation signals ranged from explicit behavioral indicators (6/10, 60%), such as task performance, to implicit biosignals, such as motor movements, eye gaze, speech, and peripheral physiological responses (7/10, 70%). The findings reveal promising trends in the field, suggesting that automated VR systems leveraging real-time progression level switching and verbal feedback driven by non-ML techniques using explicit or, better yet, implicit signal processing have the potential to enhance interventions for young individuals with ASD. The limitations discussed mainly stem from the fact that no technological or automated tools were used to handle data, potentially introducing bias due to human error.

Stochastic modeling of multiple-server charging stations for electric vehicle networks using feedback strategies: A queueing-theoretic approach

Nowadays, electric vehicles (EVs) significantly affect transportation as they provide a more environmentally friendly alternative to traditional fossil-fueled automobiles. Electric vehicles, which depend on energy stored in batteries, significantly contribute to environmental preservation and comply with worldwide efforts to tackle climate change. However, the growing demand for electric vehicles causes traditional power grids under pressure emphasizing the necessity of establishing a suitable infrastructure for charging electric vehicles. Charging stations are becoming increasingly critical since they allow for the recharging of electric vehicles and play a significant role in stabilizing the power system. In order to optimize charging station infrastructure with multiple servers, the current research incorporates a Markovian queueing modeling approach. The primary objective of the study is to address queue management concerns and boost overall productivity. Considering the real-world challenges, a queue-based stochastic model for multi-server EV systems and individual feedback strategies is developed. Subsequently, a transition state diagram is provided by balancing the input-output rates between the adjacent states. Next, the system of Chapman-Kolmogorov differential-difference equations is formulated to help understand mathematical modeling better. The matrix method is employed to demonstrate the state probability distribution in equilibrium. The infographics are utilized and incorporated for better visualization of the research findings. For a better understanding from an individual's point of view, numerous managerial insights are provided. Lastly, several concluding remarks and future perspectives are provided that can help decision-makers and practitioners to construct and analyze economic strategies based on EV management systems.