Validity and reliability of 3D marker based scapular motion analysis: A systematic review

Methods based on cutaneous markers are the most popular for the recording of three dimensional scapular motion analysis. Numerous methods have been evaluated, each showing different levels of accuracy and reliability. The aim of this review was to report the metrological properties of 3D scapular kinematic measurements using cutaneous markers and to make recommendations based on metrological evidence.     

Espasticidad tras ictus: ¿la edad es un factor de riesgo? Estudio observacional de la espasticidad en pacientes neurovasculares en una serie retrospectiva de dos centros

ObjectiveApproximately one third of patients who have suffered a stroke develop spasticity. Since clinical observations that spasticity in the elderly population is lower after stroke, and disagreement about risk factors between different authors, an analysis is performed on the variables that influence the development of spasticity.The objective of the study is to determine the how many factors influence spasticity outcome, and the prevalence of spasticity in patients who have suffered a stroke and require intensive rehabilitation treatment.MethodA retrospective assessment was carried out on a total of 554 patients from two neurorehabilitation centres. A record was made of sociodemographic data, aetiology, type and location of stroke, motor and sensory deficits, language and swallowing impairment, incontinence, cognitive and mood state. Spasticity levels at admission and at the third month were studied in 462 patients using the Ashworth scale. Multivariate regression analyses were used to assess the risk factors for spasticity present at the third month after stroke.ResultsThe mean age of the patients was 67.3 years, of which 67.1% were men, and with ischemic aetiology in 76.5%. On admission 31.4% of patients had spasticity, and this increased to 54.8% at the 3^rd month. The absolute risk factor for spasticity was motor index (OR 1.04; 95% CI 1.03-1.05). When this factor was omitted, the variables with predictive ability were: age less than 75 years (OR 0.52; 95% CI 0.30-0.90), sensory impairment (OR 0.66; 95% CI 0.37-1.20), and lower Barthel index score (OR 1.02; 95% CI 1.01-1.03). There was no significant relationship for gender, physiopathological mechanism (ischaemic/haemorrhagic), stroke location, aphasia, or cognitive impairment.ConclusionThe prevalence of spasticity in stroke at third month of follow-up was 54.8%. Motor index is the independent predictor of spasticity. Patients younger than 75 years old, with sensory impairment and low Barthel index score are more likely to develop spasticity.     

A predictive model for freshwater bioassessment (Mondego River,Portugal)

We sampled macroinvertebrates at 75 locations in the Mondego river catchment, Central Portugal, and developed a predictive model for water quality assessment of this basin, based on the Reference Condition Approach. Sampling was done from June to September 2001. Fifty-five sites were identified as “Reference sites” and 20 sites were used as “Test sites” to test the model. At each site we also measured 40 habitat variables to characterize water physics and chemistry, habitat type, land use, stream hydrology and geographic location. Macroinvertebrates were generally identified to species or genus level; a total of 207 taxa were found. By Unweighted Pair Group Method with Arithmetic mean (UPGMA) clustering and analysis of species contribution to similarities percentage (SIMPER), two groups of reference sites were established. Using Discriminant Analysis (stepwise forward), four variables correctly predicted 78% of the reference sites to the appropriate group: stream order, pool quality, substrate quality and current velocity. Test sites’ environmental quality was established from their relative distance to reference sites, in MDS ordination space, using a series of bands (BEAST methodology). The model performed well at upstream sites, but at downstream sites it was compromised by the lack of reference sites. As with the English RIVPACS predictive model, the Mondego model should be continually improved with the addition of new reference sites. The adaptation of the Mondego model methodology to the Water Framework Directive is possible and would consist mainly of the integration of the WFD typology and increasing the number of ellipses that define quality bands. Handling editor: K. Martens     

Modeling the two-dimensional accuracy of soccer kicks

In many sports, athletes perform motor tasks that simultaneously require both speed and accuracy for success, such as kicking a ball. Because of the biomechanical trade-off between speed and accuracy, athletes must balance these competing demands. Modelling the optimal compromise between speed and accuracy requires one to quantify how task speed affects the dispersion around a target, a level of experimental detail not previously addressed. Using soccer penalties as a system, we measured two-dimensional kicking error over a range of speeds, target heights, and kicking techniques. Twenty experienced soccer players executed a total of 8466 kicks at two targets (high and low). Players kicked with the side of their foot or the instep at ball speeds ranging from 40% to 100% of their maximum. The inaccuracy of kicks was measured in horizontal and vertical dimensions. For both horizontal and vertical inaccuracy, variance increased as a power function of speed, whose parameter values depended on the combination of kicking technique and target height. Kicking precision was greater when aiming at a low target compared to a high target. Side-foot kicks were more accurate than instep kicks. The centre of the dispersion of shots shifted as a function of speed. An analysis of the covariance between horizontal and vertical error revealed right-footed kickers tended to miss below and to the left of the target or above and to the right, while left-footed kickers tended along the reflected axis. Our analysis provides relationships needed to model the optimal strategy for penalty kickers.     

Power and limitation of soil properties as predictors of variation in peak plant biomass in a northern mixed-grass prairie

Soil properties are thought to affect annual plant productivity in rangelands, and thus soil variables that are consistently correlated with plant biomass may be general indicators of rangeland health. Here we measured several soil properties (e.g. aggregate stability, organic carbon, total nitrogen) and tested each as a would-be predictor of local variation in peak aboveground grassland biomass. Individual properties explained a slight (≤10%) amount of variation in plant biomass. Plant biomass was mainly (negatively) associated with two soil properties, subsurface soil carbonate concentration and the stability of soil macroaggregates near the soil surface. Less important predictive variables included: elevation, plant community composition, surface soil organic carbon, and soil carbon:nitrogen. Plot-to-plot variation in plant biomass is seemingly difficult to predict based on soil properties, including popular indicators of soil and rangeland health and even root biomass. While protection of soil is critical to overall rangeland ecosystem function, our findings suggest that the relationship between soil properties and plant biomass in natural grasslands is complex. Thus, there may not be one or even several soil properties that consistently predict appreciable variation in peak grassland biomass, especially variation within an ecosystem independent of precipitation.     

Late emergence chronotypes of fruit flies Drosophila melanogaster exhibit higher accuracy of entrainment

Inter-individual variation in phase-of-entrainment (chronotype) is widely observed in many species, but the underlying mechanisms and its consequences remain largely unexplored. In light of considerable limitations of previous studies proposing that the late chronotypes exhibit weakly stable rhythms, we employed outbred Drosophila populations exhibiting early and late emergence chronotypes to re-visit such associations. Contrary to previous reports, we observed that the late chronotypes consistently exhibit higher stability in emergence and activity–rest rhythms as compared to the early chronotypes, both under laboratory and semi-natural conditions, which is not associated with higher precision of circadian clocks, thus demonstrating the existence of genetic correlations between accuracy of entrainment and chronotype. Our results, along with the previously reported clock property differences between the early and the late emergence chronotypes highlights a possible complex interplay of clock period, phase response curve and accuracy in determining phase-of-entrainment.     

血清铜蓝蛋白联合透明质酸检测在肝纤维化患者诊断中的应用

目的探讨血清铜蓝蛋白(CP)联合透明质酸(HA)检测在肝纤维化患者诊断中的应用前景。方法选取2015年1月至2018年12月本院收治的疑似肝纤维化患者226例为研究对象,对患者的CP、HA水平进行联合检测,根据各项指标检测水平对患者做出诊断,并与金标准诊断方法肝穿刺活检结果进行对比。对CP、HA单独检测和联合检测的诊断结果进行统计对比,并对各组检查方法的灵敏度、特异度、假阳性率、假阴性率、准确度等进行统计对比,比较不同检查方法在不同肝纤维化分级患者中的诊断正确率。结果 226例患者中金标准诊断201例(88.94%)为肝纤维化,CP单独检测检出154例(68.14%),HA单独检测检出143例(63.27%),CP+HA联合检测检出195例(86.28%)。经Kappa一致性检验分析CP+HA联合检测与金标准结果有高度一致性,CP、HA单独检测与金标准结果为中等一致性。CP+HA联合检测的灵敏度、特异度、准确度均高于CP、HA单独检测,方法间比较差异有统计学意义(χ~2=11.602、55.959、78.047,P=0.003、0.039、0.002)。在不同分级肝纤维化患者中,CP+HA联合检测在Ⅰ级、Ⅱ级纤维化检出率高于CP、HA单独检测,方法间比较差异有统计学意义(χ~2=9.432、8.324,P=0.007、0.010)。结论 CP联合HA检测在肝纤维化患者诊断中应用情况良好,有较高的诊断正确率,且对症状程度较轻的肝纤维化患者有较高的检出率,可作为肝纤维化诊断检查的主要手段加以推广应用。     

Predicting forest grouse distribution taking account of spatial autocorrelation

Spatially explicit, multi-scale models for predictions of species potential distribution can be useful tools for integrating biodiversity considerations in planning and strategic environmental assessment. In such models, the occurrences of focal species are related to habitat and landscape variables, which in urbanising areas should also include effects of urban disturbances. Moreover, the accuracy of the spatial predictive models may be affected by spatial autocorrelation, which means that a part of the variance is explained by neighbouring values. The aim of this study was to explore the effects of habitat and disturbance patterns on the distribution of two forest grouse species, Tetrao urogallus and Bonasa bonasia, and to detect and model the effects of spatial autocorrelation. The distribution of the two species could be explained in terms of reduction of a main predator, habitat quality, quantity and connectivity, including urban disturbances. The residuals of the initial regressions showed positive spatial autocorrelation that could be quantified by using a spatial probit model. The application of the spatial probit model revealed strongly significant spatial dependencies for both species. Furthermore, the model fit could be increased for T. urogallus by applying this model. The results implied that both species distributions might be affected by both reactions to the underlying land-use pattern, but also by interaction with neighbours. The use of the spatial probit model is a way to incorporate spatial interactions that otherwise cannot be captured by the independent variables.