Compensation Scheme Research Articles

Compensatory strategy use in diverse older adults with subjective cognitive complaints

Objectives The current study aimed to evaluate the relationship between subjective cognitive complaints (SCC) and compensatory strategy (CS) use in a diverse sample of non-Latinx White (NLW), Black, and Latinx American older adults. Method 807 older adults (M age = 65.38, 62.7% female) were recruited through Amazon’s Mechanical Turk (MTurk) and Qualtrics Panel to complete questionnaires on SCC and CS use. Kruskall-Wallis tests were used to evaluate differences in SCC across groups given non-normal distributions. Analysis of variance (ANOVA) was used to evaluate group differences in CS use. The PROCESS macro for SPSS was used to examine whether demographic factors moderated the relationship between SCC and CS use. Results NLWs reported higher levels of SCC and greater overall use of CS in comparison to Latinx and Black individuals. Several demographic and psychosocial factors including age, ethno-racial group, education, and anxiety level were found to be associated with CS use. Education was found to moderate the association between SCC and CS use. Conclusion Inconsistent with prior studies, our study found that NLWs reported the highest levels of SCC. CS were used across all racial/ethnic groups, but the frequency of CS use may be impacted by education level. While all education groups increased their CS in response to higher levels of SCC, this increase was more substantial for those with lower levels of education. Future work should consider individuals’ cultural and educational background when examining SCC and/or developing CS-based intervention for the aging population.

Currents’-Physical-Component-Based Reactive Power Compensation Optimization in Three-Phase, Four-Wire Systems

In this paper, we aim to address the limited capacity of compensation devices by enhancing their utilization rate by applying the currents’ physical component (CPC) theory for reactive power optimization in three-phase four-wire systems. When reactive currents cannot be fully compensated for, we propose using CPC theory to generate reference currents for the compensation devices. Weight coefficients associated with different reactive current components are introduced, enabling flexible combinations of these independent current components. The maximum output amplitude of the three-phase current from the compensation device serves as a constraint condition, allowing for the calculation of reference currents under various compensation targets. Additionally, a reactive current optimization compensation scheme focusing on loss reduction is selected. The simulated annealing–particle swarm optimization (SA-PSO) hybrid algorithm is employed to solve the optimization mathematical model. The discussed calculations, current waveforms, and voltage waveforms are generated using the constructed mathematical model and then used for a theoretical explanation. The simulation verifies the feasibility of the proposed method.

An Aeromagnetic Compensation Strategy for Large UAVs

Aeromagnetic surveys are widely used in geological exploration, mineral resource assessment, environmental monitoring, military reconnaissance, and other areas. It is necessary to perform magnetic compensation for interference in these fields. In recent years, large unmanned aerial vehicles (UAVs) have been more suitable for magnetic detection missions because of the greater loads they can carry. This article proposes some methods for the magnetic compensation of large multiload UAVs. Because of the interference of the large platform and instrument noise, the standard deviations (stds) of the compensation data used in this paper are larger. At the beginning of this article, using the traditional T-L model, we avoid the shortcomings of the anti-magnetic interference ability of triaxial magnetic gate magnetometers. The direction cosine information is obtained by using an inertial navigation system, the global positioning system, and a triaxial magnetic gate magnetometer. Then, we increase the amplitude of the maneuvers in the compensation process; this reduces the multicollinearity problems in the compensation matrix to a certain extent, but it also results in greater magnetic field interference. Lastly, we employ the method of Lasso regularization Newton iteration (LRNM). Compared to the traditional methods of least squares (LS) and singular value decomposition (SVD), LRNM provides improvements of 34% and 27%, respectively. In summary, this series of schemes can be used to perform effective compensation for large multi-load UAVs and improve the actual use of large UAVs, making them more accurate in the measurement of aeromagnetic survey data.

Prioritizing human-wildlife conflict management strategies through importance-performance analysis: Insights from Chitwan National Park, Nepal

Human-wildlife conflict affects the social-ecological systems essential for sustainable development. In human-dominated landscapes, effective management necessitates context-specific strategies that promote workable coexistence. This present study evaluates community perspectives on human-wildlife conflict management strategies through Importance-Performance Analysis in Chitwan National Park, Nepal. As a cost-effective and user-friendly tool, Importance-Performance Analysis helps protected area managers prioritize strategies and make informed decisions. Our findings reveal eight management strategies with significant importance-performance gaps, suggesting that park management is falling short in meeting both farmers’ and non-farmers’ needs. The graphical representation of Importance-Performance Analysis matrix visually identifies three high priority strategies—enhanced livelihood diversification skills, promotion of alternative livelihoods, and fast-tracked compensation schemes—that demand immediate action. The ANOVA results show varying perspectives between farmers and non-farmers across the park’s four management sectors (Kasara, Sauraha, Madi, and Amaltari), regarding the importance and performance of management strategies. This study demonstrates that Importance-Performance Analysis can be effectively adapted by protected area managers to evaluate and enhance management effectiveness from stakeholders’ perspectives, thereby balancing biodiversity conservation with community well-being and advancing the global goal of ‘living in harmony with nature’.

On-machine correction of form error for structured surfaces with anisotropic diffusion filter

Structured surfaces with high aspect ratio are promising in optical components, healthcare devices, and microelectronics. A preferable method to create precise structured surfaces is using single point diamond turning with on-machine surface measurement (OMSM). However, fabricating these surfaces often pose challenges due to steep gradients and discontinuous slopes, leading to significant form errors in machining. We propose an innovative solution by employing partial differential equation (PDE) filtration in a closed loop compensation process to enhance form accuracy and surface roughness compared to traditional methods. We tackle the problem of over-smoothing induced profile error encountered with traditional Gaussian filters. The proposed compensation strategy adapts to surface curvature and reduces instrument noise during on-machine measurements. Experimental of fabricating a segment spherical artefact, demonstrate improved precision. After adopting the proposed method, the form error is reduced from 1.2 µm to 0.5 µm and vibration ripples are mitigated, and a better surface finish is achieved.

Students' Learning Strategy in Using YouTube Videos for Self-Regulated Learning

The objectives of the research were (1) to find out the dominant learning strategy that students employ in using YouTube videos for self-regulated learning and (2) to describe students' learning strategies activity in using YouTube videos for self-regulated learning by tenth-grade students of SMAN 1 Sintang. The data in this research was collected through the instrument of the SILL Questionnaire by Rebeca Oxford which adapted and modified with the context of using YouTube videos for self-regulated learning. The total population of this research was 110 students. The researcher used purposive sampling to select 66 students who were suitable for the characteristics of this study. The research findings revealed that most students used the compensation strategy (19.72%), and the less dominant use strategy was the social strategy (11.66%) in using YouTube videos for self-regulated learning. Specifically, students are greatly helped in using YouTube videos for self-regulated learning by the subtitle feature, and students can also pause the videos to enhance their understanding in finding new vocabulary and phrases, as well as knowing the language structure in the learning videos.

Withdrawing from involution: The “lying flat” phenomenon of music teachers in China

“Involution” refers intensive and irrational competitions in workplace, “lying flat” is the phenomenon in which individuals perform the bare minimum of work required for employment. This study investigates the life experience of Chinese Music Teachers (CMTs) participating in involutionary work activities, explores how they cope with involution by “lying flat.” In-depth interviews with 16 participants identified three stages of involutionary work activities engagement: involvement, conflict, and defense. CMTs employed three “lying flat” ways including evasive behaviors, emotional compensation, and swan strategy. Findings suggest that “lying flat” serves as a strategy for teachers to avoid burnout, providing insights into emerging buzzwords across various cultures.

The effects of back-projection variants in BPF-like TOF PET reconstruction using CNN filtration - Based on simulated and clinical brain data.

The back-projection strategies such as confidence weighting (CW) and most likely annihilation position (MLAP) have been adopted into back-projection-and-filtering-like (BPF-like) deep reconstruction model and shown great potential on fast and accurate PET reconstruction. Although the two methods degenerate to an identical model at the time resolution of 0ps, they represent two distinct approaches at the realistic time resolutions of current commercial systems. There is a lack of a systematic and fair assessment on these differences. This work aims to analyze the impact of back-projection variants on CNN-based PET image reconstruction to find the most effective back-projection model, and ultimately contribute to accurate PET reconstruction. Different back-projection strategies (CW and MLAP) and different angular view processing methods (view-summed and view-grouped) were considered, leading to the comparison of four back-projection variants integrated with the same CNN filtration model. Meanwhile, we investigated two strategies of physical effect compensation, either introducing pre-corrected data as the input or adding a channel of attenuation map to the CNN model. After training models separately on Monte-Carlo-simulated BrainWeb phantoms with full dose (events=3×107), we tested them on both simulated phantoms and clinical brain scans with two dosage levels. For the performance assessment, peak signal-to-noise ratio (PSNR) and root mean square error (RMSE) were used to evaluate the pixel-wise error, structural similarity index (SSIM) to evaluate the structural similarity, and contrast recovery coefficient (CRC) in manually selected ROI to compare the region recovery. Compared to two MLAP-based histo-image reconstruction models, two CW-based back-projected image methods produced clearer, sharper, and more detailed images, from both simulated and clinical data. For angular view processing methods, view-grouped histo-image improved image quality, while view-grouped cwbp-image showed no advantage except for contrast recovery. Quantitative analysis on simulated data demonstrated that the view-summed cwbp-image model achieved the best PSNR, RMSE, SSIM, while the 8-view cwbp-image model achieved the best CRC in lesions and the white matter. Additionally, the multi-channel input model including the back-projection image and attenuation map was proved to be the most efficient and simplest method for compensating for physical effects for brain data. Applying Gaussian blur to the histo-image yielded images with limited improvement. All above results hold for both the half-dose and the full-dose cases. For brain imaging, the evaluation based on metrics PSNR, RMSE, SSIM, and CRC indicates that the view-summed CW-based back-projection variant is the most effective input for the BPF-like reconstruction model using CNN filtration, which can involve the attenuation map through an additional channel to effectively compensate for physical effects.

Wide working temperature range and large electrocaloric effect in BaTiO3 based ceramics achieved by regulating phase boundaries through a compensatory ion co-doping strategy

Electrocaloric refrigeration shows the merits of environmental safeguarding, large efficiency, easy combination, and miniaturization as a novel solid-state refrigeration technique. In this paper, Sn4+ is doped into the B site of BLNT ceramics. By adjusting the doping content, the T-C phase transition peak was successfully shifted to room temperature and promoted the formation of relaxor ferroelectrics, resulting in a wider operating temperature range (Tspan) and improved adiabatic temperature change (ΔT). A comprehensive study was conducted on the crystal structure, surface morphology, dielectric properties, ferroelectricity, and electrical properties of BLNTS ceramics with varying levels of Sn4+ doping. Wherein, when the doping amount is 5Sn, a maximum adiabatic temperature change value (ΔTmax) of 1.14 K was obtained, and the temperature span (Tspan) reached 45 °C (Tspan is defined as ΔT ≥ 80 % ΔTmax). This work proposes a high-performance environmentally friendly electrocaloric effect (ECE) material suitable for solid-state cooling applications.

Radical-Induced Photochromic Silver(I) Metal-Organic Frameworks: Alternative Topology, Dynamic Photoluminescence and Efficient Photothermal Conversion Modulated by Anionic Guests.

Photogenerated radicals are an indispensable member of the state-of-the-art photochromic material family, as they can effectively modulate the photoluminescence and photothermal conversion performance of radical-induced photochromic complexes. Herein, two novel radical-induced photochromic metal-organic frameworks (MOFs), [Ag(TEPE)](AC) ⋅ 7/4H2O ⋅ 5/4EtOH (1) and [Ag(TEPE)](NC) ⋅ 3H2O ⋅ EtOH (2), are reported. Distinctly different topological networks can be obtained by judiciously introducing alternative π-conjugated anionic guests, including a new topological structure (named as sfm) first reported in this work, describing as 4,4,4,4-c net. EPR data and UV-Vis spectra prove the radical-induced photochromic mechanism. Dynamic photochromism exhibits tunability in a wide CIE color space, with a linear segment from yellow to red for 1, while a curved coordinate line for 2, resulting in colorful emission from blue to orange. Moreover, photogenerated TEPE* radicals effectively activate the near-infrared (NIR) photothermal conversion effect of MOFs. Under 1 W cm-2 808 nm laser irradiation, the surface temperatures of photoproducts 1* and 2* can reach ~160 °C and ~120 °C, respectively, with competitive NIR photothermal conversion efficiencies η=51.8 % (1*) and 36.2 % (2*). This work develops a feasible electrostatic compensation strategy to accurately introduce photoactive anionic guests into MOFs to construct multifunctional radical-induced photothermal conversion materials with tunable photoluminescence behavior.

Radical‐Induced Photochromic Silver(I) Metal–Organic Frameworks: Alternative Topology, Dynamic Photoluminescence and Efficient Photothermal Conversion Modulated by Anionic Guests

AbstractPhotogenerated radicals are an indispensable member of the state‐of‐the‐art photochromic material family, as they can effectively modulate the photoluminescence and photothermal conversion performance of radical‐induced photochromic complexes. Herein, two novel radical‐induced photochromic metal–organic frameworks (MOFs), [Ag(TEPE)](AC) ⋅ 7/4H2O ⋅ 5/4EtOH (1) and [Ag(TEPE)](NC) ⋅ 3H2O ⋅ EtOH (2), are reported. Distinctly different topological networks can be obtained by judiciously introducing alternative π‐conjugated anionic guests, including a new topological structure (named as sfm) first reported in this work, describing as 4,4,4,4‐c net. EPR data and UV–Vis spectra prove the radical‐induced photochromic mechanism. Dynamic photochromism exhibits tunability in a wide CIE color space, with a linear segment from yellow to red for 1, while a curved coordinate line for 2, resulting in colorful emission from blue to orange. Moreover, photogenerated TEPE* radicals effectively activate the near‐infrared (NIR) photothermal conversion effect of MOFs. Under 1 W cm−2 808 nm laser irradiation, the surface temperatures of photoproducts 1* and 2* can reach ~160 °C and ~120 °C, respectively, with competitive NIR photothermal conversion efficiencies η=51.8 % (1*) and 36.2 % (2*). This work develops a feasible electrostatic compensation strategy to accurately introduce photoactive anionic guests into MOFs to construct multifunctional radical‐induced photothermal conversion materials with tunable photoluminescence behavior.

Breaking down processing speed: Motor and cognitive insights in first-episode psychosis and unaffected first-degree relatives

IntroductionProcessing speed (PS) deficits represent a fundamental aspect of cognitive impairment, evident not only in schizophrenia but also in individuals undergoing their first episode of psychosis (FEP) and their unaffected first-degree relatives. Heterogeneity in tests assessing PS reflects the participation of motor and cognitive subcomponents to varying degrees. We aim to explore differences in performance of the subcomponents of PS in FEP patients, parents, siblings, and controls. Materials and methodsResults from tests, including Trail Making Test part A and part B, Digit Symbol Coding Test, Grooved Pegboard Test, and Stroop Word and Stroop Color subtests, were obtained from 133 FEP patients, 146 parents, and 202 controls. Exploratory factor analysis (EFA) was employed in controls to establish the structure, followed by confirmatory factor analysis (CFA) to verify if the other groups share this structure. ResultsEFA revealed a two-factor model: Factor 1 for the motor subcomponent and Factor 2 for the cognitive subcomponent. Subsequently, CFA indicated a good fit for the remaining groups with differences in the relationship between the factors. ConclusionsDifferences in the relationships of factors within a common structure suggest the involvement of different compensatory strategies among groups, providing insights into the underlying mechanisms of PS deficits in patients and relatives.

51‐1: Invited Paper: Foveated Image Compression and Transmission for Virtual‐Reality Headsets

Here we propose a foveated image transmission and compensation strategy with a rendering compression step, a re‐compression step and a decompression step. It is realized and tested on an FPGA‐based headset tester equipped with a high‐accuracy eye tracking system. Past human factors engineering experiments are reviewed and used to determine the proper boundaries for thefoveation zone division.

Executive compensation and corporate sustainability: Evidence from ESG ratings

Selecting A-share listed companies in Shanghai and Shenzhen, China, during the period of 2012–2021 as research subjects, this study examines the relationship and operational mechanisms between executive compensation and corporate ESG Ratings. It is found that executive compensation incentives can significantly enhance corporate ESG Ratings. This effect is achieved through promoting green innovation efficiency, enhancing environmental information disclosure, and improving financial performance. However, this positive impact weakens with an increase in management shareholding, but strengthens with a higher proportion of independent directors. When compensation exceeds appropriate levels, overcompensation leads to a decline in ESG Ratings. The significance of this study lies in revealing potential pathways for enhancing corporate sustainability through executive compensation incentives, while also emphasizing the importance of formulating appropriate compensation strategies.

Life satisfaction and emotional regulation in aging: temporal perspective and effect of gender

Few studies have examined the relationship between life satisfaction, emotional regulation and perception of future time in the elderly. Thirty-one women and 28 men (age M =70,51 ±3,98) were questioned using the Gross and John's Emotion Regulation Questionnaire (2003), the Blais et al.'s Life Satisfaction Scale (1989) and the Castersen and Lang's Future Time Perception Scale (1996). The results show that there is no gender effect, and do not support the motivational theory of Carstensen, Isaacowitch and Charles (1999), which postulates a link between temporal perspective and the selection of the most efficient emotional regulation strategies. This research shows that it is the use of compensatory strategies that enables people to continue to be satisfied with their lives despite advancing age. Nor do these strategies influence the effect of gender or perception of future time on life satisfaction. Against a backdrop of an aging population, this study is helping to better define the features of well-being in the advancing age.

Postural Control During Single-Leg Landing in Female Athletes After Anterior Cruciate Ligament Reconstruction.

Secondary anterior cruciate ligament (ACL) injury is a complication of ACL reconstruction (ACLR), which may result from altered neuromuscular control affecting anticipatory postural adjustments (APAs) and compensatory postural adjustments (CPAs) required for maintaining balance during movement. However, it remains unclear how APAs and CPAs differ in single-leg landings post-ACLR compared to healthy subjects. The purpose of this study was to clarify the differences in muscle activities of APAs and CPAs, lower limb kinematics, and kinetics between athletes with a history of ACLR and healthy athletes during single-leg landing. Cross-sectional study. Eighteen female athletes were recruited and divided into ACLR (n = 9) and control groups (n = 9). The experimental task involved a single-leg landing from a 30 cm box. Joint angles and moments were determined using a 3-dimensional motion analysis system, while muscle activity was assessed using surface electromyography. Analysis intervals were divided into two phases: the APA phase (-150 ms to 50 ms) and the CPA phase (50 ms to 250 ms), with initial contact (0 ms) as the reference point. Muscle activity onset time was defined as the time when the baseline exceeded by the sum of mean values and 2 standard deviations. No significant differences were observed in muscle activity or onset time between the ACLR and control groups. However, an increased hip external rotation moment was observed during the CPA phase in the ACLR group. These findings suggest that APAs and CPAs of athletes who returned to sports more than 1 year post-ACLR may be similar. The increased hip external rotation moment in the ACLR group during the CPA phase could represent a specific compensatory strategy to decrease the hip internal rotation angle post-ACLR. III.

A Distributed Turn-Off Delay Compensator Scheme for Voltage Balancing of Series-Connected IGBTs

A Distributed Turn-Off Delay Compensator Scheme for Voltage Balancing of Series-Connected IGBTs

Predation can shape the cascade interplay between heterothermy, exploration and maintenance metabolism underhigh food availability.

Maintenance metabolism as the minimum energy expenditure needed to maintain homeothermy (a high and stable body temperature, T b), reflects the magnitude of metabolic machinery and the associated costs of self-maintenance in endotherms (organisms able to produce heat endogenously). Therefore, it can interact with most, if not all, organismal functions, including the behavior-fitness linkage. Many endothermic animals can avoid the costs of maintaining homeothermy and temporally reduce T b and metabolism by entering heterothermic states like torpor, the most effective energy-saving strategy. Variations in BMR, behavior, and torpor use are considered to be shaped by food resources, but those conclusions are based on research studying these traits in isolation. We tested the effect of ecological contexts (food availability and predation risk) on the interplay between the maintenance costs of homeothermy, heterothermy, and exploration in a wild mammal-the yellow-necked mouse. We measured maintenance metabolism as basal metabolic rate (BMR) using respirometry, distance moved (exploration) in the open-field test, and variation in T b (heterothermy) during short-term fasting in animals captured at different locations of known natural food availability and predator presence, and with or without supplementary food resources. We found that in winter, heterothermy and exploration (but not BMR) negatively correlated with natural food availability (determined in autumn). Supplementary feeding increased mouse density, predation risk and finally had a positive effect on heterothermy (but not on BMR or exploration). The path analysis testing plausible causal relationships between the studied traits indicated that elevated predation risk increased heterothermy, which in turn negatively affected exploration, which positively correlated with BMR. Our study indicates that adaptive heterothermy is a compensation strategy for balancing the energy budget in endothermic animals experiencing low natural food availability. This study also suggests that under environmental challenges like increased predation risk, the use of an effective energy-saving strategy predicts behavioral expression better than self-maintenance costs under homeothermy.

A Fault Detection and Compensation Strategy of the Resolver for Variable Leakage Flux Permanent Magnet Motor With Threshold Self-Regulation

A Fault Detection and Compensation Strategy of the Resolver for Variable Leakage Flux Permanent Magnet Motor With Threshold Self-Regulation

Effect of Successful Aging on Technology Acceptance: The Moderating Role of Selection, Optimization, and Compensation Strategies

Successful aging improves the health and well-being of older adults. Positive attitudes toward aging gave rise to more confidence in handling changes in their life in old age, thus reducing their barriers to information technology use often exist among older adults. Therefore, the influence of successful aging and technology use behavior on older adults’ aging process is a crucial research topic. The technology acceptance model was applied in this study to understand the relationship between selective optimization with compensation (SOC) strategies and technology acceptance. Individuals (n = 208) aged 60 years or older who possessed a smartphone but lacked knowledge on how to use it beyond basic operations were recruited from nine community care centers in Taiwan. The participants took part in two group-based (n = 6–7 each) training programs covering smartphone applications (16 hours) and SOC strategies (14 hours) related to smartphone use, with the training period lasting 4.5 months. Surveys were conducted after smartphone application training and after SOC strategy training. The results showed that SOC moderated the relationship between perceived usefulness, perceived ease of use, and older adults’ AT toward smartphones. All study hypotheses were supported, and the positive attitude toward aging motivates the elderly to utilize smartphones to compensate for aging-related deficits in daily life. The findings herein can be used as a reference for those wishing to encourage older adults to use smartphones in the pursuit of successful aging.