Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of thr...Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of three actions:fast(errorcorrection),medium(negative feedback for expanded proportional band)and slow(reset for zero steady-state error).The focus of the paper is on the reset action,generated from a positive feedback loop,and its underlying principles with profound implications to our understanding and practice of automatic control,both basic and advanced.For example,we note that reset control and integral control,contrary to common belief,differ fundamentally in design principle and in practicality.Such difference comes to a head in the event of integrator windup:while reset windup is a problem of actuator saturation,the integrator windup is a runaway situation due to controller instability.In fact,there is no advantage gained in replacing MR with an integrator.In other words,one should not integrate the error directly as in standard PID,since doing so makes the closed-loop system internally unstable.With MR-based control formulated in this paper,there is no such threat of instability and,therefore,no need for any anti-windup mechanisms.Furthermore,the integral control is made scalable in this framework as a tradeoff between the steady-state accuracy and the controller stability.This leads to a novel MR-based control design,scalable in gain and in time to accommodate various process characteristics and design specifications.Simple in construction and transparent in principle,this MR-based control,as a basic framework of design,is readily deployable in scale.展开更多
Background The patient-reported Dimensional Anhedonia Rating Scale(DARS)has been adapted into Chinese,so there is a need to evaluate its measurement properties in a Chinese population.Aims To evaluate the reliability ...Background The patient-reported Dimensional Anhedonia Rating Scale(DARS)has been adapted into Chinese,so there is a need to evaluate its measurement properties in a Chinese population.Aims To evaluate the reliability and validity of the DARS among Chinese individuals with major depressive disorder(MDD)and its treatment sensitivity in a prospective clinical study.Methods Data were from a multicentre,prospective clinical study(NCT03294525),which recruited both patients with MDD,who were followed for 8 weeks,and healthy controls(HCs),assessed at baseline only.The analysis included confirmatory factor analysis,validity and sensitivity to change.Results Patients’mean(standard deviation(SD))age was 34.8(11.0)years,with 68.7%being female.75.2%of patients with MDD had melancholic features,followed by 63.8%with anxious distress.Patients had experienced MDD for a mean(SD)of 9.2(18)months.DARS scores covered the full range of severity with no major floor or ceiling effects.Confirmatory factor analysis showed adequate fit statistics(comparative fit index 0.976,goodness-of-fit index 0.935 and root mean square error of approximation 0.055).Convergent validity with anhedonia-related measures was confirmed.While the correlation between the DARS and the Hamilton Depression Rating Scale was not strong(r=0.31,baseline),the DARS was found to differentiate between levels of depression.Greater improvements in DARS scores were seen with the Hamilton Rating Scale for Depression responder group(effect size 1.16)compared with the non-responder group(effect size 0.46).Conclusions This study comprehensively evaluated the measurement properties of the DARS using a Chinese population with MDD.Overall,the Chinese version of DARS demonstrates good psychometric properties and has been found to be responsive to change during antidepressant treatment.The DARS is a suitable scale for assessing patient-reported anhedonia in future clinical trials.展开更多
Loneliness is a complex and usually unpleasant emotional response to isolation,which has been considered the latest global health epidemic exacerbated by the coronavirus disease 2019 pandemic,affecting nearly twothird...Loneliness is a complex and usually unpleasant emotional response to isolation,which has been considered the latest global health epidemic exacerbated by the coronavirus disease 2019 pandemic,affecting nearly twothirds of older adults.Some profound health implications carried by loneliness include depression,cognitive impairment,hypertension and frailty.Across the world,there is no consensus definition of loneliness,and its measure is based on the phenomenological perspective of the individual.The 20-item University of California Los Angeles Loneliness Scale version 3(UCLA-20)is the most common measure.This scale demonstrates acceptable psychometric properties but is too long and complex for a phone interview.This paper addresses the increasing need to shorten this scale by adopting classical item response theory and network psychometrics to advance scale development.Through an item reduction analysis,we trimmed the original scale into an effective short form,which is as valid as the original one.With respondents’time at a premium in most research nowadays,this shortform scale is an efficient and practical alternative to the original UCLA-20.展开更多
Background The effectiveness of life skills-based prevention programs to prevent substance addiction has been underexplored in Türkiye,likely in part due to the lack of validated measurement tools developed speci...Background The effectiveness of life skills-based prevention programs to prevent substance addiction has been underexplored in Türkiye,likely in part due to the lack of validated measurement tools developed specifically for that purpose.Therefore,the aim of this study is to develop a tool to measure life skills for middle school students.The present study aims to test the factorial structure,reliability,convergent and discriminant validity,and measurement invariance across gender and age groups of the Green Crescent Life Skills(GCLS)Scale.Methods The study was conducted in Istanbul with two different sample groups.The first sample consisted of 566 and the second sample consisted of 885 middle school students.In the study,exploratory factor analysis(EFA)was applied to the first sample,and confirmatory factor analysis(CFA)was applied to the second sample to test the factorial structure of the scale.Convergent and discriminant validity were examined to provide evidence for construct-based validity.The reliability of the scale was assessed with Cronbach’sα,composite reliability,McDonald’sω,and test-retest.Results The EFA results showed that the scale consisted of four factors(self-awareness,coping with negative emotions,thinking skills,and peer relations).CFA results also confirmed this structure.The results revealed a significant positive correlation(r=0.52,p<0.01)between life skills and avoidance self-efficacy scores,as well as a significant negative correlation(r=−0.53,p<0.01)between life skills and attitude toward drug use scores.Additionally,it was found that measurement invariances based on gender and age groups were provided.It was determined that all sub-dimensions had sufficient reliability levels.Conclusion The findings of this validation study show that the GCLS Scale,which assesses four skills in a self-reported format,is a valid and reliable scale with considerable potential utility in monitoring life skills in Turkish adolescent populations.展开更多
We propose a hierarchical multi-scale attention mechanism-based model in response to the low accuracy and inefficient manual classification of existing oceanic biological image classification methods. Firstly, the hie...We propose a hierarchical multi-scale attention mechanism-based model in response to the low accuracy and inefficient manual classification of existing oceanic biological image classification methods. Firstly, the hierarchical efficient multi-scale attention(H-EMA) module is designed for lightweight feature extraction, achieving outstanding performance at a relatively low cost. Secondly, an improved EfficientNetV2 block is used to integrate information from different scales better and enhance inter-layer message passing. Furthermore, introducing the convolutional block attention module(CBAM) enhances the model's perception of critical features, optimizing its generalization ability. Lastly, Focal Loss is introduced to adjust the weights of complex samples to address the issue of imbalanced categories in the dataset, further improving the model's performance. The model achieved 96.11% accuracy on the intertidal marine organism dataset of Nanji Islands and 84.78% accuracy on the CIFAR-100 dataset, demonstrating its strong generalization ability to meet the demands of oceanic biological image classification.展开更多
Scale effects and evaluation models are crucial to the accuracy of landscape ecological risk evaluation.However,most studies conduct these evaluations at a single scale or with a single model,ignoring potential scale ...Scale effects and evaluation models are crucial to the accuracy of landscape ecological risk evaluation.However,most studies conduct these evaluations at a single scale or with a single model,ignoring potential scale effects and changes in landscape patterns.To address this,we took the Leshan City in Sichuan Province of China as a study case.We determined that the optimal spatial granularity for the study area is 150 m by analyzing the sensitivities of eight landscape pattern indices such as landscape fragmentation,landscape spreading,and Shannon's diversity at different spatial granularities,and employing the inflection point identification method.Building on this,we constructed a landscape pattern index model(ERI model)and a landscape pattern index model coupled with the ecological process of soil erosion(SI-ERI model)by incorporating the natural geographic factors of the study area.We used the ERI and SI-ERI models to evaluate the landscape ecological risk of Leshan City across multiple scales,including ecological,administrative,and sample scales.After conducting overlay and spatial autocorrelation analyses of the multi-scale evaluation results,we determined that the administrative scale is optimal for evaluating landscape ecological risk in the study area.At this scale,we verified the accuracy and reliability of the two models'evaluation results against the actual ecological environment in typical areas within the study area.The findings indicated that the SI-ERI model provided more precise and accurate spatial characterization,effectively reflecting the actual landscape ecological risk of Leshan City.According to the SI-ERI model's evaluation results at the administrative scale,Leshan City's overall risk level is relatively low,with good ecological environmental quality.Low-risk areas constitute 56.16%and medium-low-risk areas make up 23.81%,aligning closely with the city's actual situation.This study thus offers a scientific basis and theoretical reference for managing ecological risks and planning urban development in Leshan City.展开更多
The application of ecosystem services(ES)theories in land consolidation is a confusing issue that has long plagued scholars and government officials.As the upgraded version of traditional land consolidation,comprehens...The application of ecosystem services(ES)theories in land consolidation is a confusing issue that has long plagued scholars and government officials.As the upgraded version of traditional land consolidation,comprehensive land consolidation(CLC)emphasizes ecological benefits,but it does not achieve the expected effect during the pilot phase.This study first proposed a theoretical analysis framework based on ES knowledge to answer the three key questions of why,where,and how to implement CLC better.Taking mountainous counties as the study area,we found that ES trade-offs/synergies,bundles,and drivers were significantly affected by scale effects.ES knowledge can play a crucial role in designing multi-scale CLC strategies regarding the objective,zoning,intensity,and mode.Specifically,mitigating the significant trade-offs between recreational opportunities,food production,and other ES is the top priority of CLC.Land consolidation zoning based on the ES bundles analysis is more rational and can provide the scientific premise for designing locally adapted CLC measures.Land consolidation can be classified into high-intensity direct intervention and low-intensity indirect intervention modes,based on the major drivers of ES.These findings help narrow the gap between ES and CLC practices.展开更多
Correctly tracking the evolution of spatial heterogeneity of local degree of saturation(Sr)in unsaturated soils is essential to explain the seepage phenomenon,which is crucial to assessing slope stability.Several meth...Correctly tracking the evolution of spatial heterogeneity of local degree of saturation(Sr)in unsaturated soils is essential to explain the seepage phenomenon,which is crucial to assessing slope stability.Several methods exist for quantifying the heterogeneity of local S_(r).However,a comprehensive comparison of these methods in terms of accuracy,relative advantages,and disadvantages is currently lacking.This paper presents a comparative analysis of local Sr obtained at multiple scales,ranging from the element scale to the slice,representative element volume(REV),pore,and voxel scales.The spatial heterogeneity of Sr in an unsaturated glass beads specimen at different matric suctions was visualised and quantified by multiscale X-ray micro-focus computed tomography image-based analysis methods.Local Sr obtained at different scales displayed a comparable trend along the sample depth,yet the REV-scale method showed a much scattered and discontinuous distribution.In contrast,the pore-scale method detected a distinct two-clustered,bimodal distribution of S_(r).The pore-scale method has the highest integrated resolution,as it has the highest spatial resolution(i.e.number of data points)and provides more information(i.e.number of extractable physical parameters).This method thus provides a more effective approach for tracking the spatial heterogeneity of S_(r).Based on this method,pore-scale water retention curves were determined,offering new quantitative means to characterise pore water heterogeneity and explainwater drainage processes such as hysteresis at the pore scale.展开更多
0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly ...0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly prominent.China has implemented and completed several largescale land infilling and excavation projects(Figure 1),which have become the main way to increase land resources and expand construction land.展开更多
OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated he...OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.展开更多
An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyram...An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyramid network(FPN)structure of the original YOLOv8 mode is replaced by the generalized-FPN(GFPN)structure in GiraffeDet to realize the"cross-layer"and"cross-scale"adaptive feature fusion,to enrich the semantic information and spatial information on the feature map to improve the target detection ability of the model.Secondly,a pyramid-pool module of multi atrous spatial pyramid pooling(MASPP)is designed by using the idea of atrous convolution and feature pyramid structure to extract multi-scale features,so as to improve the processing ability of the model for multi-scale objects.The experimental results show that the detection accuracy of the improved YOLOv8 model on DIOR dataset is 92%and mean average precision(mAP)is 87.9%,respectively 3.5%and 1.7%higher than those of the original model.It is proved the detection and classification ability of the proposed model on multi-dimensional optical remote sensing target has been improved.展开更多
BACKGROUND During the gradual decline of physical and social functioning associated with end-stage renal disease,patients might experience a premonition of impending death,resulting in a series of pre-mourning grief r...BACKGROUND During the gradual decline of physical and social functioning associated with end-stage renal disease,patients might experience a premonition of impending death,resulting in a series of pre-mourning grief responses called preparatory grief.The preparatory grief in advanced cancer patients(PGAC)scale is the most widely used preparatory grief scale for patients on hemodialysis in China.AIM To verify the reliability and validity of the PGAC scale in patients on hemodialysis.METHODS In total,327 patients undergoing regular hemodialysis in the blood purification center of three grade-A tertiary hospitals in Guangdong and Guizhou provinces were selected by convenience sampling.The assessment was administered using the general information questionnaire and the Chinese version of PGAC.SPSS 25.0 and Amos 24.0 were used for item analysis,confirmatory factor analysis(CFA),convergent validity,and internal consistency reliability estimation.RESULTS In the modified Chinese version of PGAC,7 dimensions covering 27 total items were retained.CFA revealed a good fit of the factor model(chi-square degree of freedom=2.056,standardized root mean square residual=0.0479,root mean square error of approximation=0.0570,GFI=0.872,AGFI=0.841,IFI=0.931,CFI=0.930,TLI=0.919).The factor loadings of the items ranged 0.503-0.884.The composite reliability ranged 0.664-0.914,and the average variance extracted ranged 0.366-0.747.Cronbach’sαof the scale was 0.945,and Cronbach’sαfor various dimensions ranged 0.662-0.914.CONCLUSION The modified PGAC has good reliability and validity,and it can effectively measure preparatory grief in patients on hemodialysis.展开更多
With growing interest in its potential applications across both stationary and transportation sectors,hydrogen has emerged as a promising alternative for environmentally responsible power generation.By replacing tradi...With growing interest in its potential applications across both stationary and transportation sectors,hydrogen has emerged as a promising alternative for environmentally responsible power generation.By replacing traditional fuels,hydrogen can significantly reduce greenhouse gas emissions in the transportation sector.This study focuses on the design and downsizing of a green hydrogen fuel cell car,aiming to scale the concept for larger vehicles.Key components,including fuel cells,electrolysers,and solar panels,were evaluated through extensive laboratory testing.Thefindings reveal that variations in sunlight impact the solar panel’shydrogenproductionrate,withdifferences of approximately 4.9%attributed to changes in time and date.Analysis of consumption rates showed that a 17.4%increase in current consumption leads to a significant reduction in operational time.Further testing under varying loads demonstrated that higher current demands,such as those from a DC motor,accelerate hydrogen depletion,whereas lower currents extend operational duration.These results underscore the importance of maximizing solar energy efficiency,reducing reliance on conventional energy sources,and regulating consumption rates to optimize fuel cell performance.Since hydrogen is produced using renewable energy,fuel cell technology is virtually emission-free.Additionally,the study highlights the viability of powering vehicles with renewable energy,emphasizing the potential of green hydrogen fuel cell technology as a sustainable transportation solution.展开更多
Recent Super-Resolution(SR)algorithms often suffer from excessive model complexity,high computational costs,and limited flexibility across varying image scales.To address these challenges,we propose DDNet,a dynamic an...Recent Super-Resolution(SR)algorithms often suffer from excessive model complexity,high computational costs,and limited flexibility across varying image scales.To address these challenges,we propose DDNet,a dynamic and lightweight SR framework designed for arbitrary scaling factors.DDNet integrates a residual learning structure with an Adaptively fusion Feature Block(AFB)and a scale-aware upsampling module,effectively reducing parameter overhead while preserving reconstruction quality.Additionally,we introduce DDNetGAN,an enhanced variant that leverages a relativistic Generative Adversarial Network(GAN)to further improve texture realism.To validate the proposed models,we conduct extensive training using the DIV2K and Flickr2K datasets and evaluate performance across standard benchmarks including Set5,Set14,Urban100,Manga109,and BSD100.Our experiments cover both symmetric and asymmetric upscaling factors and incorporate ablation studies to assess key components.Results show that DDNet and DDNetGAN achieve competitive performance compared with mainstream SR algorithms,demonstrating a strong balance between accuracy,efficiency,and flexibility.These findings highlight the potential of our approach for practical real-world super-resolution applications.展开更多
The topographic factor(LS factor),derived from the multiplication of the slope length(L)and slope steepness(S)factors,is a vital parameter in soil erosion models.Generated from the digital elevation model(DEM),the LS ...The topographic factor(LS factor),derived from the multiplication of the slope length(L)and slope steepness(S)factors,is a vital parameter in soil erosion models.Generated from the digital elevation model(DEM),the LS factor always varies with the changing DEM resolution,i.e.,the LS factor scale effect.Previous studies have found the phenomenon of the LS factor scale effect,but the underlying causes of this phenomenon has not been well explored.Therefore,how the DEM resolution affects the LS factor and how the scale effect of the L and S factors influence the LS factor scale effect remains unclear.To address these problems,we collected 20 watersheds from the Guangdong Province with different topographic reliefs,and compared the corresponding L,S and LS factors at 10-m and 30-m resolution DEMs.Our results indicate that the S factor,heavily influenced by slope underestimation in coarse-resolution DEMs,makes a difference in the LS factor scale effect.In addition,the LS factor scale effect becomes less significant with increasing reliefs,suggesting the possibility of using 30-m DEM for LS calculation in rugged terrains.Our findings on the underlying mechanisms of the LS factor scale effect help to identify the uncertainty in the LS factor estimation,thereby enhancing the accuracy of soil erosion assessment,particularly in regions with different topographic characteristics and contribute to more effective soil conservation strategies and decision-making.展开更多
Objective:To translate,adapt,and validate the Indonesian version of the Prenatal Health Behavior Scale.Methods:This cross-sectional,cross-cultural adaptation study was conducted between September 2024 and October 2024...Objective:To translate,adapt,and validate the Indonesian version of the Prenatal Health Behavior Scale.Methods:This cross-sectional,cross-cultural adaptation study was conducted between September 2024 and October 2024 in Ngrambe and Sine,subdistricts in Ngawi,East Java,Indonesia.We selected participants using purposive convenience sampling and matched them with inclusion and exclusion criteria.We collected sociodemographic,Prenatal Health Behavior Scale,and anthropometrics(height,weight,body mass index,and middle-upper arm circumference)data.We analyzed the content validity using the content validity index and Gwet's chance-corrected Agreement Coefficient 2,face validity by pilot-testing on several pregnant women,and construct validity using exploratory factor analysis.We measured reliability using McDonald's omega coefficient.Results:We recruited 183 pregnant women in this study(median age 28 years).The item-content validity index(I-CVI)of all items was 1.00,with Gwet's chance-corrected Agreement Coefficient 2 was 0.945.The face validity resulted in a clear statement of all items.The exploratory factor analysis showed the two-factor model best suited to the questionnaire.Omega coefficients for the overall scale,health-impairing,and health-promoting domains were 0.696,0.507,and 0.678,respectively.Conclusions:The Indonesian version of the Prenatal Health Behavior Scale is a valid and reliable instrument to assess prenatal health behavior in Indonesian-speaking pregnant women.Future studies may implement this scale in community and clinical settings.展开更多
Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the conditio...Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the condition.This study aimed to develop and validate a multidimensional scale for assessing societal stigma towards schizophrenia,while exploring how demographic factors influence such attitudes.Methods:Drawing on an extensive literature review and consultations,the study identified five domains of stigma:Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery.Using a two-phase methodology,a preliminary 38-itemscale was administered to 729 participants from the general Spanish population,refining the measure through descriptive and exploratory factor analysis.Subsequently,a revised 34-item scale was validated through confirmatory factor analysis with an independent sample of 417 participants.Results:The final model showed good fit(RMSEA=0.056,CFI=0.938,TLI=0.933)and strong internal consistency(α=0.73–0.86).Findings revealed that stigma was most pronounced in the domain of Autonomy(Mean=2.83,SD=0.91),reflecting pervasive doubts about individuals’ability to live independently and achieve meaningful integration into society.Stigma varied significantly across demographic variables,with higher levels reported among men,older individuals,married participants,and those outside health professions(p<0.01).Conversely,healthcare professionals,younger individuals,and those familiar with someone with schizophrenia generally reported less stigma(p<0.01).Conclusion:This study developed and validated a robust multidimensional scale for assessing societal stigma toward schizophrenia.The five-factor model—Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery—was empirically supported.Autonomy and Recovery emerged as themost stigmatized domains across the Spanish general population.The scale demonstrated strong psychometric properties and effectively captured stigma patterns linked to key sociodemographic variables.展开更多
Background and Objective Patients with glioma experience a high symptom burden and have diverse palliative care needs.However,the assessment scales used in palliative care remain non-standardized and highly heterogene...Background and Objective Patients with glioma experience a high symptom burden and have diverse palliative care needs.However,the assessment scales used in palliative care remain non-standardized and highly heterogeneous.To evaluate the application patterns of the current scales used in palliative care for glioma,we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care.Methods We conducted a systematic search of five databases including PubMed,Web of Science,Medline,EMBASE,and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care.We extracted data on scale characteristics,domains,frequency,and psychometric properties.Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools.Results Of the 3,405 records initially identified,72 studies were included.These studies contained 75 distinct scales that were used 193 times.Mood(21.7%),quality of life(24.4%),and supportive care needs(5.2%)assessments were the most frequently assessed items,exceeding half of all scale applications.Among the various assessment dimensions,the Distress Thermometer(DT)was the most frequently used tool for assessing mood,while the Short Form-36 Health Survey Questionnaire(SF-36)was the most frequently used tool for assessing quality of life.The Mini Mental Status Examination(MMSE)was the most common tool for cognitive assessment.Performance status(5.2%)and social support(6.8%)were underrepresented.Only three brain tumor-specific scales were identified.Caregiver-focused scales were limited and predominantly burden-oriented.Conclusions There are significant heterogeneity,domain imbalances,and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care.The scale selected for use should be comprehensive and user-friendly.展开更多
文摘Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of three actions:fast(errorcorrection),medium(negative feedback for expanded proportional band)and slow(reset for zero steady-state error).The focus of the paper is on the reset action,generated from a positive feedback loop,and its underlying principles with profound implications to our understanding and practice of automatic control,both basic and advanced.For example,we note that reset control and integral control,contrary to common belief,differ fundamentally in design principle and in practicality.Such difference comes to a head in the event of integrator windup:while reset windup is a problem of actuator saturation,the integrator windup is a runaway situation due to controller instability.In fact,there is no advantage gained in replacing MR with an integrator.In other words,one should not integrate the error directly as in standard PID,since doing so makes the closed-loop system internally unstable.With MR-based control formulated in this paper,there is no such threat of instability and,therefore,no need for any anti-windup mechanisms.Furthermore,the integral control is made scalable in this framework as a tradeoff between the steady-state accuracy and the controller stability.This leads to a novel MR-based control design,scalable in gain and in time to accommodate various process characteristics and design specifications.Simple in construction and transparent in principle,this MR-based control,as a basic framework of design,is readily deployable in scale.
基金supported by the National Natural Science Foundation of China(No.82371530,82171529)the Capital Health Development Special Research Project(2022-1-4111)the National Key Technology R and D Program(No.2015BAI13B01).
文摘Background The patient-reported Dimensional Anhedonia Rating Scale(DARS)has been adapted into Chinese,so there is a need to evaluate its measurement properties in a Chinese population.Aims To evaluate the reliability and validity of the DARS among Chinese individuals with major depressive disorder(MDD)and its treatment sensitivity in a prospective clinical study.Methods Data were from a multicentre,prospective clinical study(NCT03294525),which recruited both patients with MDD,who were followed for 8 weeks,and healthy controls(HCs),assessed at baseline only.The analysis included confirmatory factor analysis,validity and sensitivity to change.Results Patients’mean(standard deviation(SD))age was 34.8(11.0)years,with 68.7%being female.75.2%of patients with MDD had melancholic features,followed by 63.8%with anxious distress.Patients had experienced MDD for a mean(SD)of 9.2(18)months.DARS scores covered the full range of severity with no major floor or ceiling effects.Confirmatory factor analysis showed adequate fit statistics(comparative fit index 0.976,goodness-of-fit index 0.935 and root mean square error of approximation 0.055).Convergent validity with anhedonia-related measures was confirmed.While the correlation between the DARS and the Hamilton Depression Rating Scale was not strong(r=0.31,baseline),the DARS was found to differentiate between levels of depression.Greater improvements in DARS scores were seen with the Hamilton Rating Scale for Depression responder group(effect size 1.16)compared with the non-responder group(effect size 0.46).Conclusions This study comprehensively evaluated the measurement properties of the DARS using a Chinese population with MDD.Overall,the Chinese version of DARS demonstrates good psychometric properties and has been found to be responsive to change during antidepressant treatment.The DARS is a suitable scale for assessing patient-reported anhedonia in future clinical trials.
文摘Loneliness is a complex and usually unpleasant emotional response to isolation,which has been considered the latest global health epidemic exacerbated by the coronavirus disease 2019 pandemic,affecting nearly twothirds of older adults.Some profound health implications carried by loneliness include depression,cognitive impairment,hypertension and frailty.Across the world,there is no consensus definition of loneliness,and its measure is based on the phenomenological perspective of the individual.The 20-item University of California Los Angeles Loneliness Scale version 3(UCLA-20)is the most common measure.This scale demonstrates acceptable psychometric properties but is too long and complex for a phone interview.This paper addresses the increasing need to shorten this scale by adopting classical item response theory and network psychometrics to advance scale development.Through an item reduction analysis,we trimmed the original scale into an effective short form,which is as valid as the original one.With respondents’time at a premium in most research nowadays,this shortform scale is an efficient and practical alternative to the original UCLA-20.
基金supported by the Turkish Green Crescent Society under Grant[41402653-160-6/333].
文摘Background The effectiveness of life skills-based prevention programs to prevent substance addiction has been underexplored in Türkiye,likely in part due to the lack of validated measurement tools developed specifically for that purpose.Therefore,the aim of this study is to develop a tool to measure life skills for middle school students.The present study aims to test the factorial structure,reliability,convergent and discriminant validity,and measurement invariance across gender and age groups of the Green Crescent Life Skills(GCLS)Scale.Methods The study was conducted in Istanbul with two different sample groups.The first sample consisted of 566 and the second sample consisted of 885 middle school students.In the study,exploratory factor analysis(EFA)was applied to the first sample,and confirmatory factor analysis(CFA)was applied to the second sample to test the factorial structure of the scale.Convergent and discriminant validity were examined to provide evidence for construct-based validity.The reliability of the scale was assessed with Cronbach’sα,composite reliability,McDonald’sω,and test-retest.Results The EFA results showed that the scale consisted of four factors(self-awareness,coping with negative emotions,thinking skills,and peer relations).CFA results also confirmed this structure.The results revealed a significant positive correlation(r=0.52,p<0.01)between life skills and avoidance self-efficacy scores,as well as a significant negative correlation(r=−0.53,p<0.01)between life skills and attitude toward drug use scores.Additionally,it was found that measurement invariances based on gender and age groups were provided.It was determined that all sub-dimensions had sufficient reliability levels.Conclusion The findings of this validation study show that the GCLS Scale,which assesses four skills in a self-reported format,is a valid and reliable scale with considerable potential utility in monitoring life skills in Turkish adolescent populations.
基金supported by the National Natural Science Foundation of China (Nos.61806107 and 61702135)。
文摘We propose a hierarchical multi-scale attention mechanism-based model in response to the low accuracy and inefficient manual classification of existing oceanic biological image classification methods. Firstly, the hierarchical efficient multi-scale attention(H-EMA) module is designed for lightweight feature extraction, achieving outstanding performance at a relatively low cost. Secondly, an improved EfficientNetV2 block is used to integrate information from different scales better and enhance inter-layer message passing. Furthermore, introducing the convolutional block attention module(CBAM) enhances the model's perception of critical features, optimizing its generalization ability. Lastly, Focal Loss is introduced to adjust the weights of complex samples to address the issue of imbalanced categories in the dataset, further improving the model's performance. The model achieved 96.11% accuracy on the intertidal marine organism dataset of Nanji Islands and 84.78% accuracy on the CIFAR-100 dataset, demonstrating its strong generalization ability to meet the demands of oceanic biological image classification.
基金supported by grants from the Ministry of Science and Technology of the People’s Republic of China(Grant Nos.2019YFC1803500,2019YFC1803504)the Key R&D Projects of Sichuan Provincial Science and Technology Department(Grant Nos.2018SZ0298,2023YFS0390)+1 种基金the Bureau of Science and Technology Aba Qiang Tibetan Autonomous Prefecture(Grant Nos.R22YYJSYJ0004,R23YYJSYJ0010)Southwest University of Science and Technology Doctoral Program(23zx7175)。
文摘Scale effects and evaluation models are crucial to the accuracy of landscape ecological risk evaluation.However,most studies conduct these evaluations at a single scale or with a single model,ignoring potential scale effects and changes in landscape patterns.To address this,we took the Leshan City in Sichuan Province of China as a study case.We determined that the optimal spatial granularity for the study area is 150 m by analyzing the sensitivities of eight landscape pattern indices such as landscape fragmentation,landscape spreading,and Shannon's diversity at different spatial granularities,and employing the inflection point identification method.Building on this,we constructed a landscape pattern index model(ERI model)and a landscape pattern index model coupled with the ecological process of soil erosion(SI-ERI model)by incorporating the natural geographic factors of the study area.We used the ERI and SI-ERI models to evaluate the landscape ecological risk of Leshan City across multiple scales,including ecological,administrative,and sample scales.After conducting overlay and spatial autocorrelation analyses of the multi-scale evaluation results,we determined that the administrative scale is optimal for evaluating landscape ecological risk in the study area.At this scale,we verified the accuracy and reliability of the two models'evaluation results against the actual ecological environment in typical areas within the study area.The findings indicated that the SI-ERI model provided more precise and accurate spatial characterization,effectively reflecting the actual landscape ecological risk of Leshan City.According to the SI-ERI model's evaluation results at the administrative scale,Leshan City's overall risk level is relatively low,with good ecological environmental quality.Low-risk areas constitute 56.16%and medium-low-risk areas make up 23.81%,aligning closely with the city's actual situation.This study thus offers a scientific basis and theoretical reference for managing ecological risks and planning urban development in Leshan City.
基金National Natural Science Foundation of China,No.42171255,No.41971216。
文摘The application of ecosystem services(ES)theories in land consolidation is a confusing issue that has long plagued scholars and government officials.As the upgraded version of traditional land consolidation,comprehensive land consolidation(CLC)emphasizes ecological benefits,but it does not achieve the expected effect during the pilot phase.This study first proposed a theoretical analysis framework based on ES knowledge to answer the three key questions of why,where,and how to implement CLC better.Taking mountainous counties as the study area,we found that ES trade-offs/synergies,bundles,and drivers were significantly affected by scale effects.ES knowledge can play a crucial role in designing multi-scale CLC strategies regarding the objective,zoning,intensity,and mode.Specifically,mitigating the significant trade-offs between recreational opportunities,food production,and other ES is the top priority of CLC.Land consolidation zoning based on the ES bundles analysis is more rational and can provide the scientific premise for designing locally adapted CLC measures.Land consolidation can be classified into high-intensity direct intervention and low-intensity indirect intervention modes,based on the major drivers of ES.These findings help narrow the gap between ES and CLC practices.
基金support provided by the research funds from the Hong Kong Research Grants Council(Grant Nos.16206623,N_HKUST603/22,and C6006-20G).
文摘Correctly tracking the evolution of spatial heterogeneity of local degree of saturation(Sr)in unsaturated soils is essential to explain the seepage phenomenon,which is crucial to assessing slope stability.Several methods exist for quantifying the heterogeneity of local S_(r).However,a comprehensive comparison of these methods in terms of accuracy,relative advantages,and disadvantages is currently lacking.This paper presents a comparative analysis of local Sr obtained at multiple scales,ranging from the element scale to the slice,representative element volume(REV),pore,and voxel scales.The spatial heterogeneity of Sr in an unsaturated glass beads specimen at different matric suctions was visualised and quantified by multiscale X-ray micro-focus computed tomography image-based analysis methods.Local Sr obtained at different scales displayed a comparable trend along the sample depth,yet the REV-scale method showed a much scattered and discontinuous distribution.In contrast,the pore-scale method detected a distinct two-clustered,bimodal distribution of S_(r).The pore-scale method has the highest integrated resolution,as it has the highest spatial resolution(i.e.number of data points)and provides more information(i.e.number of extractable physical parameters).This method thus provides a more effective approach for tracking the spatial heterogeneity of S_(r).Based on this method,pore-scale water retention curves were determined,offering new quantitative means to characterise pore water heterogeneity and explainwater drainage processes such as hysteresis at the pore scale.
基金funded by the Key Research and Development Program of Shaanxi Province(No.2024SFYBXM-669)the National Natural Science Foundation of China(No.42271078)。
文摘0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly prominent.China has implemented and completed several largescale land infilling and excavation projects(Figure 1),which have become the main way to increase land resources and expand construction land.
基金supported by the Key Research and Development Special Project of the Autonomous Region(No.2022B03023-3)the Key Supported Discipline of Health System in Shanghai(No.2023ZDFC0302)。
文摘OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.
基金supported by the National Natural Science Foundation of China(No.62241109)the Tianjin Science and Technology Commissioner Project(No.20YDTPJC01110)。
文摘An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyramid network(FPN)structure of the original YOLOv8 mode is replaced by the generalized-FPN(GFPN)structure in GiraffeDet to realize the"cross-layer"and"cross-scale"adaptive feature fusion,to enrich the semantic information and spatial information on the feature map to improve the target detection ability of the model.Secondly,a pyramid-pool module of multi atrous spatial pyramid pooling(MASPP)is designed by using the idea of atrous convolution and feature pyramid structure to extract multi-scale features,so as to improve the processing ability of the model for multi-scale objects.The experimental results show that the detection accuracy of the improved YOLOv8 model on DIOR dataset is 92%and mean average precision(mAP)is 87.9%,respectively 3.5%and 1.7%higher than those of the original model.It is proved the detection and classification ability of the proposed model on multi-dimensional optical remote sensing target has been improved.
文摘BACKGROUND During the gradual decline of physical and social functioning associated with end-stage renal disease,patients might experience a premonition of impending death,resulting in a series of pre-mourning grief responses called preparatory grief.The preparatory grief in advanced cancer patients(PGAC)scale is the most widely used preparatory grief scale for patients on hemodialysis in China.AIM To verify the reliability and validity of the PGAC scale in patients on hemodialysis.METHODS In total,327 patients undergoing regular hemodialysis in the blood purification center of three grade-A tertiary hospitals in Guangdong and Guizhou provinces were selected by convenience sampling.The assessment was administered using the general information questionnaire and the Chinese version of PGAC.SPSS 25.0 and Amos 24.0 were used for item analysis,confirmatory factor analysis(CFA),convergent validity,and internal consistency reliability estimation.RESULTS In the modified Chinese version of PGAC,7 dimensions covering 27 total items were retained.CFA revealed a good fit of the factor model(chi-square degree of freedom=2.056,standardized root mean square residual=0.0479,root mean square error of approximation=0.0570,GFI=0.872,AGFI=0.841,IFI=0.931,CFI=0.930,TLI=0.919).The factor loadings of the items ranged 0.503-0.884.The composite reliability ranged 0.664-0.914,and the average variance extracted ranged 0.366-0.747.Cronbach’sαof the scale was 0.945,and Cronbach’sαfor various dimensions ranged 0.662-0.914.CONCLUSION The modified PGAC has good reliability and validity,and it can effectively measure preparatory grief in patients on hemodialysis.
文摘With growing interest in its potential applications across both stationary and transportation sectors,hydrogen has emerged as a promising alternative for environmentally responsible power generation.By replacing traditional fuels,hydrogen can significantly reduce greenhouse gas emissions in the transportation sector.This study focuses on the design and downsizing of a green hydrogen fuel cell car,aiming to scale the concept for larger vehicles.Key components,including fuel cells,electrolysers,and solar panels,were evaluated through extensive laboratory testing.Thefindings reveal that variations in sunlight impact the solar panel’shydrogenproductionrate,withdifferences of approximately 4.9%attributed to changes in time and date.Analysis of consumption rates showed that a 17.4%increase in current consumption leads to a significant reduction in operational time.Further testing under varying loads demonstrated that higher current demands,such as those from a DC motor,accelerate hydrogen depletion,whereas lower currents extend operational duration.These results underscore the importance of maximizing solar energy efficiency,reducing reliance on conventional energy sources,and regulating consumption rates to optimize fuel cell performance.Since hydrogen is produced using renewable energy,fuel cell technology is virtually emission-free.Additionally,the study highlights the viability of powering vehicles with renewable energy,emphasizing the potential of green hydrogen fuel cell technology as a sustainable transportation solution.
基金supported by Sichuan Science and Technology Program[2023YFSY0026,2023YFH0004].
文摘Recent Super-Resolution(SR)algorithms often suffer from excessive model complexity,high computational costs,and limited flexibility across varying image scales.To address these challenges,we propose DDNet,a dynamic and lightweight SR framework designed for arbitrary scaling factors.DDNet integrates a residual learning structure with an Adaptively fusion Feature Block(AFB)and a scale-aware upsampling module,effectively reducing parameter overhead while preserving reconstruction quality.Additionally,we introduce DDNetGAN,an enhanced variant that leverages a relativistic Generative Adversarial Network(GAN)to further improve texture realism.To validate the proposed models,we conduct extensive training using the DIV2K and Flickr2K datasets and evaluate performance across standard benchmarks including Set5,Set14,Urban100,Manga109,and BSD100.Our experiments cover both symmetric and asymmetric upscaling factors and incorporate ablation studies to assess key components.Results show that DDNet and DDNetGAN achieve competitive performance compared with mainstream SR algorithms,demonstrating a strong balance between accuracy,efficiency,and flexibility.These findings highlight the potential of our approach for practical real-world super-resolution applications.
基金funded by the Guangdong Major Project of Basic and Applied Basic Research(2021B0301030007)the Supplemental Funds for Major Scientific Research Projects of Beijing Normal University,Zhuhai(ZHPT2023013)+1 种基金the National Natural Science Foundation of China(42301387)the Science and Technology Program of Guangdong(No.2024B1212070012)。
文摘The topographic factor(LS factor),derived from the multiplication of the slope length(L)and slope steepness(S)factors,is a vital parameter in soil erosion models.Generated from the digital elevation model(DEM),the LS factor always varies with the changing DEM resolution,i.e.,the LS factor scale effect.Previous studies have found the phenomenon of the LS factor scale effect,but the underlying causes of this phenomenon has not been well explored.Therefore,how the DEM resolution affects the LS factor and how the scale effect of the L and S factors influence the LS factor scale effect remains unclear.To address these problems,we collected 20 watersheds from the Guangdong Province with different topographic reliefs,and compared the corresponding L,S and LS factors at 10-m and 30-m resolution DEMs.Our results indicate that the S factor,heavily influenced by slope underestimation in coarse-resolution DEMs,makes a difference in the LS factor scale effect.In addition,the LS factor scale effect becomes less significant with increasing reliefs,suggesting the possibility of using 30-m DEM for LS calculation in rugged terrains.Our findings on the underlying mechanisms of the LS factor scale effect help to identify the uncertainty in the LS factor estimation,thereby enhancing the accuracy of soil erosion assessment,particularly in regions with different topographic characteristics and contribute to more effective soil conservation strategies and decision-making.
文摘Objective:To translate,adapt,and validate the Indonesian version of the Prenatal Health Behavior Scale.Methods:This cross-sectional,cross-cultural adaptation study was conducted between September 2024 and October 2024 in Ngrambe and Sine,subdistricts in Ngawi,East Java,Indonesia.We selected participants using purposive convenience sampling and matched them with inclusion and exclusion criteria.We collected sociodemographic,Prenatal Health Behavior Scale,and anthropometrics(height,weight,body mass index,and middle-upper arm circumference)data.We analyzed the content validity using the content validity index and Gwet's chance-corrected Agreement Coefficient 2,face validity by pilot-testing on several pregnant women,and construct validity using exploratory factor analysis.We measured reliability using McDonald's omega coefficient.Results:We recruited 183 pregnant women in this study(median age 28 years).The item-content validity index(I-CVI)of all items was 1.00,with Gwet's chance-corrected Agreement Coefficient 2 was 0.945.The face validity resulted in a clear statement of all items.The exploratory factor analysis showed the two-factor model best suited to the questionnaire.Omega coefficients for the overall scale,health-impairing,and health-promoting domains were 0.696,0.507,and 0.678,respectively.Conclusions:The Indonesian version of the Prenatal Health Behavior Scale is a valid and reliable instrument to assess prenatal health behavior in Indonesian-speaking pregnant women.Future studies may implement this scale in community and clinical settings.
文摘Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the condition.This study aimed to develop and validate a multidimensional scale for assessing societal stigma towards schizophrenia,while exploring how demographic factors influence such attitudes.Methods:Drawing on an extensive literature review and consultations,the study identified five domains of stigma:Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery.Using a two-phase methodology,a preliminary 38-itemscale was administered to 729 participants from the general Spanish population,refining the measure through descriptive and exploratory factor analysis.Subsequently,a revised 34-item scale was validated through confirmatory factor analysis with an independent sample of 417 participants.Results:The final model showed good fit(RMSEA=0.056,CFI=0.938,TLI=0.933)and strong internal consistency(α=0.73–0.86).Findings revealed that stigma was most pronounced in the domain of Autonomy(Mean=2.83,SD=0.91),reflecting pervasive doubts about individuals’ability to live independently and achieve meaningful integration into society.Stigma varied significantly across demographic variables,with higher levels reported among men,older individuals,married participants,and those outside health professions(p<0.01).Conversely,healthcare professionals,younger individuals,and those familiar with someone with schizophrenia generally reported less stigma(p<0.01).Conclusion:This study developed and validated a robust multidimensional scale for assessing societal stigma toward schizophrenia.The five-factor model—Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery—was empirically supported.Autonomy and Recovery emerged as themost stigmatized domains across the Spanish general population.The scale demonstrated strong psychometric properties and effectively captured stigma patterns linked to key sociodemographic variables.
文摘Background and Objective Patients with glioma experience a high symptom burden and have diverse palliative care needs.However,the assessment scales used in palliative care remain non-standardized and highly heterogeneous.To evaluate the application patterns of the current scales used in palliative care for glioma,we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care.Methods We conducted a systematic search of five databases including PubMed,Web of Science,Medline,EMBASE,and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care.We extracted data on scale characteristics,domains,frequency,and psychometric properties.Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools.Results Of the 3,405 records initially identified,72 studies were included.These studies contained 75 distinct scales that were used 193 times.Mood(21.7%),quality of life(24.4%),and supportive care needs(5.2%)assessments were the most frequently assessed items,exceeding half of all scale applications.Among the various assessment dimensions,the Distress Thermometer(DT)was the most frequently used tool for assessing mood,while the Short Form-36 Health Survey Questionnaire(SF-36)was the most frequently used tool for assessing quality of life.The Mini Mental Status Examination(MMSE)was the most common tool for cognitive assessment.Performance status(5.2%)and social support(6.8%)were underrepresented.Only three brain tumor-specific scales were identified.Caregiver-focused scales were limited and predominantly burden-oriented.Conclusions There are significant heterogeneity,domain imbalances,and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care.The scale selected for use should be comprehensive and user-friendly.
