Construct validity, responsiveness, minimal detectable change, and minimal clinically important difference of the stroke self-efficacy questionnaire in individuals receiving stroke rehabilitation.

PURPOSE: To assess the clinimetric properties of the Stroke Self-Efficacy Questionnaire (SSEQ) and estimate the minimal detectable change (MDC) and minimal clinically important difference (MCID) from the database of our randomized controlled trials (RCT) of individuals receiving stroke rehabilitation. METHODS: We retrieved the pre- and post-intervention scores of the SSEQ and Stroke Impact Scale (SIS) from 80 stroke survivors. The analysis of clinimetric properties was performed using: (1) confirmatory factor analysis and item response theory modeling (IRT) for construct validity; (2) standardized response mean and Glass's delta for responsiveness; (3) MDC based on the standard deviation (SD) or standard error of measurement (SEM) of the SSEQ change scores; (4) MCID determined by the external anchor-SIS; (5) conditional MDC (cMDC) derived from the IRT analysis. RESULTS: There was a bi-factorial construct with excellent model-data fit and marked responsiveness. The MDC determined by the SD and SEM were 1.5 and 3.0, respectively, and the MCIDs were 3.3 and 3.7. CONCLUSIONS: This study confirmed that SSEQ is a valid and reliable assessment tool for patients receiving stroke rehabilitation. We also provided practical threshold values, especially demonstrating the benefit of using individualized cMDC, to help clinicians better interpret the change in the SSEQ scores.

This study indicated that the Stroke Self-Efficacy Questionnaire (SSEQ) is reliable and may involve a bi-factor structure.The SSEQ total scale and the activity domain were highly responsive to change.The self-management domain of the SSEQ was moderately responsive.Using conditional minimal detectable change (cMDC) along with MDC may improve the interpretability of treatment change.

Reliability of the Montreal Cognitive Assessment in people with stroke.

This study examined the relative and absolute reliability of the Taiwanese version of the MoCA (MoCA-T) in people with stroke. The study recruited 114 individuals who were at least 3 months after the onset of a first-ever unilateral stroke. The MoCA-T was administered twice, at a 6-week interval, to all participants. The relative reliability was assessed using the intraclass correlation coefficient (ICC), and the absolute reliability was assessed using standard error of measurement (SEM), the smallest real difference (SRD), the SRD percentage, and the Bland-Altman method. The ICC analysis showed the MoCA-T was highly reliable (ICC = 0.85). The absolute reliability was between an acceptable and excellent level, where the SEM and the SRD at the 95% confidence interval were 1.38 and 3.83, respectively. The Bland-Altman analyses showed no systematic bias between repeated measurements. The range of the 95% limits of agreement was narrow, indicating a high level of stability over time. These findings suggest that the MoCA-T has high agreement between repeated measurements without systematic bias. The threshold to detect real change stands between an acceptable and excellent level. The MoCA-T is a reliable tool for cognitive screening in stroke rehabilitation.

Arbitrarily rotated optical axis waveguide induced by a trimming line.

Rotated optical axis waveguides can facilitate on-chip arbitrary wave-plate operations, which are crucial tools for developing integrated universal quantum computing algorithms. In this paper, we propose a unique technique based on femtosecond laser direct writing technology to fabricate arbitrarily rotated optical axis waveguides. First, a circular isotropic main waveguide with a non-optical axis was fabricated using a beam shaping method. Thereafter, a trimming line was used to create an artificial stress field near the main waveguide to induce a rotated optical axis. Using this technique, we fabricated high-performance half- and quarter-wave plates. Subsequently, high-fidelity (97.1%) Pauli-X gate operation was demonstrated via quantum process tomography, which constitutes the basis for the full manipulation of on-chip polarization-encoded qubits. In the future, this work is expected to lead to new prospects for polarization-encoded information in photonic integrated circuits.

[Effects of Silicon Application on Arsenic Sequestration in Iron Plaque and Arsenic Translocation in Rice].

The As sequestration by iron plaque and the As translocation in rice significantly affect the As accumulation in brown rice, and silicon (Si) application inhibits the As accumulation in rice plants. However, little information is available concerning the effect of Si application on As sequestration by iron plaque and translocation in rice. In this study, a pot experiment using As-contaminated paddy soil with different Si supply levels was conducted to investigate the effects of Si application on the As sequestration by iron plaque on the root surface and the As translocation from different tissues to brown rice. The results showed that the Si2 (0.66 g·kg-1) treatment significantly increased the activities of CAT (1.81 times), SOD (7.98 times), and POD (1.25 times) in the roots, increased the DCB-extractable Fe concentration (44.35%), and promoted the roughness of iron plaque (108.91%), resulting in a significant increase in the DCB-extractable As concentration of iron plaque (88.32%). Moreover, the Si2 treatment significantly promoted the As accumulation in the roots and inhibited the As translocation from the roots and leaves to the brown rice, leading to a significant decrease in the brown rice As concentration (53.12%). The increase in As sequestration by iron plaque with Si application was attributed to the enhancement of iron plaque formation and the promotion of surface roughness of iron plaque, whereas the inhibition of As translocation from the roots and leaves to the brown rice in the Si application treatment was closely related to the competition between Si with As for transporters and the promotion of As-thiol complex formation and As compartmentalization in vacuolar. These findings provide more insight into the mechanisms of As translocation in rice and will be helpful for exploring strategies to reduce rice grain As through Si supply in As-contaminated paddy fields in South China.

Predicting Arm Nonuse in Individuals with Good Arm Motor Function after Stroke Rehabilitation: A Machine Learning Study.

Many stroke survivors demonstrate arm nonuse despite good arm motor function. This retrospective secondary analysis aims to identify predictors of arm nonusers with good arm motor function after stroke rehabilitation. A total of 78 participants were categorized into 2 groups using the Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE) and the Motor Activity Log Amount of Use (MAL-AOU). Group 1 comprised participants with good motor function (FMA-UE ≥ 31) and low daily upper limb use (MAL-AOU ≤ 2.5), and group 2 comprised all other participants. Feature selection analysis was performed on 20 potential predictors to identify the 5 most important predictors for group membership. Predictive models were built with the five most important predictors using four algorithms. The most important predictors were preintervention scores on the FMA-UE, MAL-Quality of Movement, Wolf Motor Function Test-Quality, MAL-AOU, and Stroke Self-Efficacy Questionnaire. Predictive models classified the participants with accuracies ranging from 0.75 to 0.94 and areas under the receiver operating characteristic curve ranging from 0.77 to 0.97. The result indicates that measures of arm motor function, arm use in activities of daily living, and self-efficacy could predict postintervention arm nonuse despite good arm motor function in stroke. These assessments should be prioritized in the evaluation process to facilitate the design of individualized stroke rehabilitation programs to reduce arm nonuse.

Three Ways to Improve Arm Function in the Chronic Phase After Stroke by Robotic Priming Combined With Mirror Therapy, Arm Training, and Movement-Oriented Therapy.

OBJECTIVE: To examine the effects of bilateral robotic priming combined with mirror therapy (R-mirr) vs bilateral robotic priming combined with bilateral arm training (R-bilat), relative to the control approach of bilateral robotic priming combined with movement-oriented training (R-mov) in patients with stroke. DESIGN: A single-blind, preliminary, randomized controlled trial. SETTING: Four outpatient rehabilitation settings. PARTICIPANTS: Outpatients with stroke and mild to moderate motor impairment (N=63). INTERVENTIONS: Patients received 6 weeks of clinic-based R-mirr, R-bilat, or R-mov for 90 min/d, 3 d/wk, plus a transfer package at home for 5 d/wk. MAIN OUTCOME MEASURES: Fugl-Meyer Assessment Upper Extremity subscale (FMA-UE), ABILHAND, and Stroke Impact Scale v3.0 scores before, immediately after, and 3 months after treatment as well as lateral pinch strength and accelerometry before and immediately after treatment. RESULTS: The posttest results favored R-mirr over R-bilat and R-mov on the FMA-UE score (P<.05). Follow-up analysis revealed that significant improvement in FMA-UE score was retained at the 3-month follow-up in the R-mirr over R-bilat or R-mov (P<.05). Significant improvements were not observed in the R-mirr over R-bilat and R-mov on other outcomes. CONCLUSIONS: Between-group differences were only detected for the primary outcome, FMA-UE. R-mirr was more effective at enhancing upper limb motor improvement, and the effect has the potential to be maintained at 3 months of follow-up.

Ultralow birefringent glass waveguide fabricated by femtosecond laser direct writing.

Optical waveguides prepared by femtosecond laser direct writing have birefringent properties, which can affect polarization encoding and entanglement on chips. Here, we first propose a shape-stress dual compensation fabrication scheme to decrease birefringence. Ultralow birefringent waveguides (1 × 10-9) were obtained by controlling the cross sectional shape of the main waveguide and adjusting the position of the auxiliary lines. In addition, we prepared polarization-independent directional coupler and demonstrated the evolution of polarization-independent waveguide array with different polarized light. In the future, ultralow birefringent waveguides will be widely applied in polarization encoding and entangled quantum photonic integrated circuits.

Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study.

BACKGROUND: Machine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measures for activities and participation in stroke rehabilitation requires further investigation. METHODS: This study retrospectively analyzed data collected for our previous studies from 124 participants. Machine Learning models were built to predict postintervention improvement of patient-reported outcome measures of daily activities (i.e, the Motor Activity Log and the Nottingham Extended Activities of Daily Living) and participation (i.e, the Activities of Daily Living domain of the Stroke Impact Scale). Three groups of 18 potential predictors were included: patient demographics, stroke characteristics, and baseline assessment scores that encompass all three domains under the framework of International Classification of Functioning, Disability and Health. For each target variable, classification models were built with four algorithms, logistic regression, k-nearest neighbors, support vector machine, and random forest, and with all 18 potential predictors and the most important predictors identified by feature selection. RESULTS: Predictors for the four target variables partially overlapped. For all target variables, their own baseline scores were among the most important predictors. Upper-limb motor function and selected demographic and stroke characteristics were also among the important predictors across the target variables. For the four target variables, prediction accuracies of the best-performing models with 18 features ranged between 0.72 and 0.96. Those of the best-performing models with fewer features ranged between 0.72 and 0.84. CONCLUSIONS: Our findings support the feasibility of using Machine Learning for the prediction of stroke rehabilitation outcomes. The study was the first to use Machine Learning to identify important predictors for postintervention improvement on four patient-reported outcome measures of activities and participation in chronic stroke. The study contributes to precision rehabilitation and patient-centered care, and the findings may provide insights into the identification of patients that are likely to benefit from stroke rehabilitation.

Predictors for Upper-Limb Functional Recovery Trajectory in Individuals Receiving Stroke Rehabilitation: A Secondary Analysis of Data from Randomized Controlled Trials.

BACKGROUND: The objective of the study was to determine predictors for upper-limb functional recovery trajectory after occupational therapy in a population with chronic stroke. METHODS: In this retrospective secondary analysis, Fugl-Meyer Assessment-Upper Extremity (FMA-UE) scores before and after intervention and at the 3-month follow-up were used to divide 105 participants with chronic stroke into three groups of recovery trajectories: fast (participants who reached an improvement of 7 after intervention), extended (those who reached an improvement of 7 at follow-up), and limited (those who did not reach an improvement of 7) recovery. Comparisons among the three groups were made in demographics, stroke characteristics, and baseline assessment scores. Logistic regression analyses were performed to determine predictors for group membership. RESULTS: Time after onset of stroke and the baseline scores of FMA-UE, Stroke Impact Scale-Hand (SIS-Hand), Wolf Motor Function Test (WMFT)-Quality, WMFT-Time scores, Motor Activity Log-Amount of Use (MAL-AOU), and Motor Activity Log-Quality of Movement (MAL-QOM) scores were significantly different among the three groups. Univariate logistic regressions confirmed that SIS-Hand, WMFT-Quality, WMFT-Time, MAL-AOU, and MAL-QOM were significant predictors for both the fast versus limited recovery group membership and the extended versus limited group membership. Time after stroke onset and baseline FMA-UE were additional predictors for the fast versus limited recovery group membership. CONCLUSION: These findings may assist healthcare professionals in making optimal therapeutic decisions and in informing clients and caregivers about the outcomes of stroke recovery.

Effects of robotic priming of bilateral arm training, mirror therapy, and impairment-oriented training on sensorimotor and daily functions in patients with chronic stroke: study protocol of a single-blind, randomized controlled trial.

BACKGROUND: Combining robotic therapy (RT) with task-oriented therapy is an emerging strategy to facilitate motor relearning in stroke rehabilitation. This study protocol will compare novel rehabilitation regimens that use bilateral RT as a priming technique to augment two task-oriented therapies: mirror therapy (MT) and bilateral arm training (BAT) with a control intervention: RT combined with impairment-oriented training (IOT). METHODS: This single-blind, randomized, comparative efficacy study will involve 96 participants with chronic stroke. Participants will be randomized into bilateral RT+MT, bilateral RT+BAT, and bilateral RT+IOT groups and receive 18 intervention sessions (90 min/day, 3 d/week for 6 weeks). The outcomes will include the Fugl-Meyer Assessment, Stroke Impact Scale version 3.0, Medical Research Council scale, Revised Nottingham Sensory Assessment, ABILHAND Questionnaire, and accelerometer and will be assessed at baseline, after treatment, and at the 3-month follow-up. Analysis of covariance and the chi-square automatic interaction detector method will be used to examine the comparative efficacy and predictors of outcome, respectively, after bilateral RT+MT, bilateral RT+BAT, and bilateral RT+IOT. DISCUSSION: The findings are expected to contribute to the research and development of robotic devices, to update the evidence-based protocols in postacute stroke care programs, and to investigate the use of accelerometers for monitoring activity level in real-life situations, which may in turn promote home-based practice by the patients and their caregivers. Directions for further studies and empirical implications for clinical practice will be further discussed in upper-extremity rehabilitation after stroke. TRIAL REGISTRATION: This trial was registered December 12, 2018, at www. CLINICALTRIALS: gov ( NCT03773653 ).

[Inhibitory Effects of Soil Amendment Coupled with Water Management on the Accumulation of Cd and Pb in Double-Cropping Rice].

The bioavailability of heavy metals in soil and the physiological activities of rice determine the accumulation of heavy metals in brown rice. In this study, a field experiment was conducted in a rice paddy in which the total amount of Cd in the soil did not exceed the national standard, whereas the Cd in rice grains was at risk of overreaching in the suburbs of Guangzhou city. The bioavailability of heavy metals in the soil and the physiological barrier of rice were taken as the starting point. The early and late rice yield, brown rice heavy metal content, Cd and Pb enrichment coefficient, total soil heavy metals, soil physical and chemical properties, and soil Cd and Pb species distribution were investigated under the Si-rich amendment (JD), Ca-Mg amendment (YY), Si-rich amendment+flooding irrigation (JD+YS), and Ca-Mg amendment+flooding irrigation (YY+YS) treatments. The results showed that:① the total ω(Cd) in the soil was only 0.13 mg·kg-1 in the CK treatment. However, the average ω(Cd) in the grain of early rice reached up to 0.19 mg·kg-1. The early rice varieties (hybrid rice) had a more vital ability to accumulate Cd and total As in brown rice than that in late rice varieties (conventional rice) but a lower capacity for Pb accumulation. ② JD and YY application alone had no noticeable inhibitory effect on the accumulation of Cd and Pb in brown rice; however, JD+YS and YY+YS treatments significantly inhibited the accumulation of Cd and Pb in brown rice in both early and late rice, especially in the JD+YS treatment, which decreased the Cd and Pb accumulation by 65.8% and 68% for early rice and by 71.43% and 49.15% for late rice, respectively. The primary mechanism of JD+YS was to increase soil pH and maintain a low redox potential to promote soil Cd and Pb to be transformed from acid-soluble to a reduced state and residue state, thus decreasing Cd and Pb to migrate from the soil to the rice. At the same time, it effectively suppressed the absorption and transportation of Cd and Pb by early and late rice via the physiological barrier effect of Si nutrition and the competition for transportation channels between calcium and magnesium ions and cadmium and inhibited the accumulation of Cd and Pb in the brown rice of early and late rice. These results provide a theoretical basis for the exploration and application of the control technologies in the brown rice Cd and Pb resistance and have important practical significance for guiding the safe production in the rice-growing area in South China.

Phase customization in photonic integrated circuits with trimmed waveguides.

Accurate photon phase control on a chip is essential to improve the expandability and stability of photonic integrated circuits (PICs). Here, we propose a novel, to the best of our knowledge, on-chip static phase control method in which a modified line is added close to the normal waveguide with a lower-energy laser. By controlling the laser energy and the position and length of the modified line, the optical phase can be precisely controlled with low loss and a three-dimensional (3D) path. Customizable phase modulation ranging from 0 to 2π is performed with a precision of λ/70 in a Mach-Zehnder interferometer. The proposed method can customize high-precision control phases without changing the waveguide's original spatial path, which is expected to control the phase and solve the phase error correction problem during processing of large-scale 3D-path PICs.

Effects of proximal priority and distal priority robotic priming techniques with impairment-oriented training of upper limb functions in patients with chronic stroke: study protocol for a single-blind, randomized controlled trial.

BACKGROUND: The sequence of establishing a proximal stability or function before facilitation of the distal body part has long been recognized in stroke rehabilitation practice but lacks scientific evidence. This study plans to examine the effects of proximal priority robotic priming and impairment-oriented training (PRI) and distal priority robotic priming and impairment-oriented training (DRI). METHODS: This single-blind, randomized, comparative efficacy study will involve 40 participants with chronic stroke. Participants will be randomized into the PRI or DRI groups and receive 18 intervention sessions (90 min/day, 3 days/weeks for 6 weeks). The Fugl-Meyer Assessment Upper Extremity subscale, Medical Research Council Scale, Revised Nottingham Sensory Assessment, and Wolf Motor Function Test will be administered at baseline, after treatment, and at the 3-month follow-up. Two-way repeated-measures analysis of variance and the chi-square automatic interaction detector method will be used to examine the comparative efficacy and predictors of outcome, respectively, after PRI and DRI. DISCUSSION: Through manipulating the sequence of applying wrist and forearm robots in therapy, this study will attempt to examine empirically the priming effect of proximal or distal priority robotic therapy in upper extremity impairment-oriented training for people with stroke. The findings will provide directions for further studies and empirical implications for clinical practice in upper extremity rehabilitation after stroke. TRIAL REGISTRATION: ClinicalTrials.gov NCT04446273. Registered on June 23, 2020.

A Comparative Efficacy Study of Robotic Priming of Bilateral Approach in Stroke Rehabilitation.

Background: Stroke survivors can remain impaired in body functions, activity, and participation. A novel rehabilitation regimen is required to obtain scientific evidence and to help clinicians determine effective interventions for stroke. Mirror therapy (MT) and bilateral upper limb training (BULT) are based on the tenet of bilateral movement practice; however, the additional effect of bilateral robotic priming combined with these two therapies is unclear. Objectives: This study examined the effects of two hybrid therapies, robotic priming combined with MT and robotic priming combined with BULT, in stroke survivors. Methodology: The study randomized 31 participants to groups that received robotic priming combined with MT (n = 15) or robotic priming combined with BULT (n = 16). Outcome measures included the Fugl-Meyer Assessment (FMA), the revised Nottingham Sensory Assessment (rNSA), the Chedoke Arm and Hand Activity Inventory (CAHAI), and accelerometer data. Results: Both groups showed statistically significant within-group improvements in most outcome measures. Significant between-group differences and medium-to-large effect sizes were found in favor of the group that received robotic priming combined with MT based on the FMA distal part subscale scores, FMA total scores, and accelerometer data. Conclusion: Robotic priming combined with MT may have beneficial effects for patients in the improvements of overall and distal arm motor impairment as well as affected arm use in real life. Additional follow-up, a larger sample size, and consideration of the effect of lesion location or different levels of cognitive impairment are warranted to validate our findings in future studies. Clinical trial registration: www.ClinicalTrials.gov, identifier NCT03773653.

Bridging the Gap Between Computational Photography and Visual Recognition.

What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algorithms as a pre-processing step improve image interpretability for manual analysis or automatic visual recognition to classify scene content? While there have been important advances in the area of computational photography to restore or enhance the visual quality of an image, the capabilities of such techniques have not always translated in a useful way to visual recognition tasks. Consequently, there is a pressing need for the development of algorithms that are designed for the joint problem of improving visual appearance and recognition, which will be an enabling factor for the deployment of visual recognition tools in many real-world scenarios. To address this, we introduce the UG 2 dataset as a large-scale benchmark composed of video imagery captured under challenging conditions, and two enhancement tasks designed to test algorithmic impact on visual quality and automatic object recognition. Furthermore, we propose a set of metrics to evaluate the joint improvement of such tasks as well as individual algorithmic advances, including a novel psychophysics-based evaluation regime for human assessment and a realistic set of quantitative measures for object recognition performance. We introduce six new algorithms for image restoration or enhancement, which were created as part of the IARPA sponsored UG 2 Challenge workshop held at CVPR 2018. Under the proposed evaluation regime, we present an in-depth analysis of these algorithms and a host of deep learning-based and classic baseline approaches. From the observed results, it is evident that we are in the early days of building a bridge between computational photography and visual recognition, leaving many opportunities for innovation in this area.

[Effects of Ferrous Sulfate and Ferric Nitrate on Cadmium Transportation in the Rhizosphere Soil-Rice System].

Cadmium (Cd) contamination in the agricultural soils of China is a serious and growing environmental problem that urgently needs to be controlled and completely remediated. The biogeochemical cycles of nitrogen (N), sulfur (S), and iron (Fe), and the coupled cycles of Fe-N and Fe-S have been reported to control Cd transportation in the soil-rice system. Exploring practical remediation strategies for Cd from the perspective of the application of nutrients such as N, S, and Fe for rice growth is expected to obtain farm-specific and state-of-the-art technologies and products to reduce the accumulation of Cd in rice grains. Using our earlier study as a basis, the rhizosphere bag-pot experiment with ferrous sulfate (FeSO4) and ferric nitrate[Fe(NO3)3] treatments was conducted to investigate Cd bioavailability in rhizosphere soil and Cd translocation in rice plants, and to highlight some possible factors and mechanisms controlling Cd accumulation in rice grains. The results showed that both FeSO4 and Fe(NO3)3 treatments reduced the bioavailable Cd (NH4Ac-Cd) content in rhizosphere soil, with the decreasing extent being significantly lower in the former (55.6%) than in the latter (76.0%). Both FeSO4 and Fe(NO3)3 treatments changed the distribution characteristics of Cd in rice tissues, and the FeSO4 treatment increased the Cd content in brown rice (0.6 mg·kg-1), but the Fe(NO3)3 treatment decreased the Cd content in brown rice (0.1 mg·kg-1). Adsorption or co-precipitation of Cd by iron plaque, increased accumulations of Cd in root, stem, and leaf, and enhanced translocations of Cd from root, stem, and nodule to brown rice occurred with the increased Cd content in brown rice of the FeSO4 treatment. However, the decreased Cd content in brown rice with the Fe(NO3)3 treatment was ascribed to adsorption or co-precipitation of Cd by poorly crystalline Fe oxides and solid Fe sulfides, decreased accumulations of Cd in stem and nodule, and weakened translocations of Cd from root, leaf, and nodule to brown rice. These findings provide a scientific basis for the exploration and application of nutritive soil amendment, and will have significance in regards to the remediation of Cd-contaminated agricultural soils in China.

Predictors of Clinically Important Changes in Actual and Perceived Functional Arm Use of the Affected Upper Limb After Rehabilitative Therapy in Chronic Stroke.

OBJECTIVE: To identify the predictors of minimal clinically important changes in actual and perceived functional arm use of the affected upper limb after rehabilitative therapy. DESIGN: Retrospective, observational cohort study. SETTING: Outpatient rehabilitation settings. PARTICIPANTS: A cohort of 94 patients with chronic stroke. INTERVENTIONS: Patients received robot-assisted therapy, mirror therapy, or combined therapy for 4 weeks. MAIN OUTCOME MEASURES: The primary outcome measures, assessed pre- and post intervention, included actual functional arm use measured by an accelerometer and perceived functional arm use measured by the Motor Activity Log (MAL). Candidate predictors included age, sex, time after stroke, side of stroke, and scores on the Fugl-Meyer Assessment, Modified Ashworth Scale, Medical Research Council scale, Wolf Motor Function Test, MAL (quality of movement), and Nottingham Extended Activities of Daily Living. RESULTS: Being male (odds ratio [OR], 3.17; 95% CI, 1.13-8.87) and having a higher than median Medical Research Council score (OR, 2.68; 95% CI, 1.12-6.41) significantly predicted minimal clinically important changes assessed by an accelerometer. Fugl-Meyer Assessment scores (odds ratio, 1.06; 95% CI, 1.02-1.11) were a significant predictor of achieving clinically important changes in MAL amount of use. Wolf Motor Function Test (quality) scores (OR, 3.05; 95% CI, 1.38-6.77) could predict clinically important improvements in MAL quality of movement. CONCLUSIONS: Predictors of clinically important changes in the use of the affected upper limb after robot-assisted therapy, mirror therapy, or combined therapy in patients with chronic stroke for 4 weeks differ for actual vs perceived use. Further studies are recommended to validate these findings in a larger sample.

The Priming Effects of Mirror Visual Feedback on Bilateral Task Practice: A Randomized Controlled Study.

The priming effect of mirror visual feedback can be simply provided by inexpensive mirror therapy (MT), which exhibits beneficial effects on sensorimotor recovery in stroke. The present study was a single-blind pretest-posttest study that examined whether the priming effect of mirror visual feedback on bilateral task practice would render better outcomes. Twenty-three patients with chronic stroke were randomized to receive hospital-based task-oriented MT or bilateral arm training (BAT) for 4 weeks at 90 minutes/day, 3 days/week and a home practice for 30-40 minutes/day, 5 days/week. There was the potential trend for MT to improve temperature sense as measured by the revised Nottingham Sensory Assessment (Cohen's d = 1.00; 95% confidence interval, -0.09 to 2.09), and MT increased the Stroke Impact Scale 3.0 total score (d = 0.89; 0.003 to 1.71). MT also showed a trend for greater improvements in the Motor Activity Log (amount of use: d = 0.62; -0.24 to 1.44; quality of movement: d = 0.50; -0.35 to 1.31). MT involving bilateral movement practice with the priming effect of mirror visual feedback may render beneficial effects. The unilateral approach or MT augmented by extra feedback might be appropriate modifications.

[Effects of an Amendment on Cadmium Transportation in the Rhizosphere Soil-Rice System].

The remediation of cadmium (Cd) contaminated paddy soils has become an important issue in the field of remediation of agricultural soils contaminated by heavy metals. The iron (Fe) redox cycle (referring to the fluctuation of iron between the ferrous (Ⅱ) and ferric (Ⅲ) oxidation states) exhibits a unique role in the transportation of Cd in the soil-rice system. The exploration of practical remediation strategies for Cd from the perspective of the Fe redox cycle is expected to obtain some state-of-the-art technologies and products to reduce Cd accumulation in rice grains. In this study, an amendment was selected and a field experiment was carried out to investigate the effects of this amendment on Cd transportation from the rhizosphere soil to the Fe plaque, and further to different rice tissues at four different growth stages, and to highlight some possible mechanisms by which the Fe redox cycle controls Cd availability in rice paddy fields. The results showed that the amendment induced the formation of Fe sulfides, which co-precipitated with Cd, reducing the NH4Ac-extractable Cd content in rhizosphere soils at the tillering, jointing, and filling stages; the oxidation of Fe sulfides increased the NH4Ac-extractable Cd content in the rhizosphere soil at the maturing stage; the formation of Fe sulfides in rhizosphere soils impeded the migration of Fe(Ⅱ) from the rhizosphere soil to the root surface, decreasing the content of DCB-extractable Fe and Cd in Fe plaques at the tillering and filling stages; the amendment inhibited Cd transportation from the roots to other tissues, increasing the proportion of Cd in the roots at the jointing, filling, and maturing stages, but decreasing the proportion in the straws at the jointing, filling, and maturing stages, and in the rice grain at the maturing stage. These findings provide a theoretical basis for the exploration and application of the amendment, and have significance in the field of remediation of Cd-contaminated paddy soils.

Retraction Note: Impact of different promoters, promoter mutation, and an enhancer on recombinant protein expression in CHO cells.

This paper has been retracted at the request of the authors.