Modela-r as a Froude and Strouhal dimensionless numbers combination for dynamic similarity in running

The aim of this study was to test the hypothesis that running at fixed fractions of Froude (Nfr) and Strouhal (Str) dimensionless numbers combinations induce dynamic similarity between humans of different sizes. Nineteen subjects ran in three experimental conditions, (i) constant speed, (ii) similar speed (Nfr) and (iii) similar speed and similar step frequency (Nfr and Str combination). In addition to anthropometric data, temporal, kinematic and kinetic parameters were assessed at each stage to measure dynamic similarity informed by dimensional scale factors and by the decrease of dimensionless mechanical parameter variability. Over a total of 54 dynamic parameters, dynamic similarity from scale factors was met for 16 (mean r=0.51), 32 (mean r=0.49) and 52 (mean r=0.60) parameters in the first, the second and the third experimental conditions, respectively. The variability of the dimensionless preceding parameters was lower in the third condition than in the others. This study shows that the combination of Nfr and Str, computed from the dimensionless energy ratio at the center of gravity (Modela-r) ensures dynamic similarity between different-sized subjects. The relevance of using similar experimental conditions to compare mechanical dimensionless parameters is also proved and will highlight the study of running techniques, or equipment, and will allow the identification of abnormal and pathogenic running patterns. Modela-r may be adapted to study other abilities requiring bounces in human or animal locomotion or to conduct investigations in comparative biomechanics.     

Testing prediction accuracy in short-term ecological studies

Applied ecology is based on an assumption that a management action will result in a predicted outcome. Testing the prediction accuracy of ecological models is the most powerful way of evaluating the knowledge implicit in this cause-effect relationship, however, the prevalence of predictive modeling and prediction testing are spreading slowly in ecology. The challenge of prediction testing is particularly acute for small-scale studies, because withholding data for prediction testing (e.g., via k-fold cross validation) can reduce model precision. However, by necessity small-scale studies are common. We use one such study that explored small mammal abundance along an elevational gradient to test prediction accuracy of models with varying degrees of information content. For each of three small mammal species, we conducted 5000 iterations of the following process: (1) randomly selected 75 % of the data to develop generalized linear models of species abundance that used detailed site measurements as covariates, (2) used an information theoretic approach to compare the top model with detailed covariates to habitat type-only and null models constructed with the same data, (3) tested those models’ ability to predict the 25 % of the randomly withheld data, and (4) evaluated prediction accuracy with a quadratic loss function. Detailed models fit the model-evaluation data best but had greater expected prediction error when predicting out-of-sample data relative to the habitat type models. Relationships between species and detailed site variables may be evident only within the framework of explicitly hierarchical analyses. We show that even with a small but relatively typical dataset (n = 28 sampling locations across 125 km over two years), researchers can effectively compare models with different information content and measure models’ predictive power, thus evaluating their own ecological understanding and defining the limits of their inferences. Identifying the appropriate scope of inference through prediction testing is ecologically valuable and is attainable even with small datasets.     

Ensuring objectivity by applying the Mauri Model to assess the post-disaster affected environments of the 2011 MV Rena disaster in the Bay of Plenty,New Zealand

The 2011 MV Rena grounding on Otāiti (Astrolabe reef) in the Bay of Plenty, New Zealand is considered to be New Zealand’s worst maritime environmental disaster and one of the most expensive shipwreck and oil spill salvage and recovery operations ever undertaken, with the clean-up currently costing in excess of $660 million (NZD) (Schiel et al., 2016; Beca, 2014). The resultant environmental impacts due to the fuel oil spilled and flotsam were also experienced anthropocentrically as economic, social and cultural impacts. The presence and consideration of impacts experienced by the indigenous groups of the impacted regions within the on-going recovery process is a major contributing factor to the uniqueness of this scenario internationally. The scale and complexity of impacts from this disaster is without precedent in New Zealand. The consideration of past and potential future impacts is especially significant in present times, with the resource consent application to leave the remnants of the wreck and associated debris in place on the reef and seabed, being granted on February 26 2016.The assessment builds on the methodology presented by Faaui et al. (2016) which established indicator sets for measuring impacts upon the mauri of the affected environments (post-Rena state) and assessing the state of the environment prior to the grounding (pre-Rena state). Using the sustainability indicator sets compiled previously by Faaui et al. (2016), the Mauri Model Decision Making Framework has been used to present a holistic assessment of the impacts of the disaster on the reef and surrounding ecosystems, from October 2011 (date of the grounding) to October 2015. These indicators have been expanded on, defining the threshold conditions for scoring the indicators within the Mauri Model. The impact assessment methodology has included a process that identifies the indicator scoring thresholds which ensures objectivity in the scoring of indicators, and therefore the impact assessment, allowing for repeatable and robust results.This assessment is the first use of the Mauri Model Decision Making Framework at this scale, providing a holistic assessment of the impacts experienced within the Rena affected regions in this post-Rena time period. This research leads directly into the post resource consent time period and the associated future impacts as a result of the consent and given consent conditions.     

An improved approach to evaluate car sharing options

We develop an improved approach to evaluate car sharing options under uncertain environments with the combination of Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS), which consists of three steps. In the first step, we propose a SCUMN (Specific, Comprehensive, Understandable, Measurable, and Neutral) methodology to identify appropriate indicators and obtain a final list of 24 indicators according to their relevance to car sharing options. In the second step, we determine the weight of each indicator with F-AHP and conduct consistency check of the comparison matrix of selected indicators. In the third step, comparison of different options is performed with selected indicators and F-TOPSIS. A case study is provided to validate the proposed approach. Twenty-four indicators are identified to evaluate five different car sharing options and rank them according to their closeness coefficients in decreasing order. And thirty-one sensitivity analysis experiments are conducted to figure out the influence of indicators on decision making. The experimental results show that the proposed approach is capable of evaluating car sharing options with uncertainty and vagueness. F-AHP is able to determine the weight for each selected indicator and F-TOPSIS demonstrates its advantage in comparing potential options.     

帕金森病模型研究进展

帕金森病（Parkinson’s disease，PD）是一种常见于中老年的神经退行性疾病，其特征性的病理改变为黑质纹状体多巴胺能神经元选择性缺失以及胞浆内涵物Lewy小体的形成。PD的发病机制目前尚不清楚，但已经明确环境因素和遗传因素在PD的发病中起重要作用。为阐明PD的病理生理机制，进一步探索新的治疗手段，迫切需要与PD密切相似的模型。本文将就目前发展的各种PD模型做一综述。     

大鼠慢性肾功能不全模型两种制作方式的比较

目的比较大鼠肾大部切除与肾结扎两种方法制备的5／6肾切除慢性肾功能不全模型的异同。方法雄性SD大鼠随机分为三组。A组行左肾2／3切除加右肾切除，B组行结扎左肾动脉2／3分支加右肾切除，C组为假手术组。分别于第二次手术后5周、9周及13周测血压，处死大鼠，留取24h尿及肾组织。检测尿蛋白，肾组织切片染色。用半定量法评价肾小球硬化指数。结果第5周时，B组大鼠的收缩压显著升高，而A组与C组相比无显著差异，第9周和13周A组和B组与C组大鼠相比，收缩压均显著升高。肾部分切除术后，尿蛋白随时间进行性增加。B组与A组相比，尿蛋白增加更为显著。A组和B组在各观察点均有不同程度肾小球硬化，B组较A组肾小球硬化程度重。结论肾大部切除和肾结扎两种方法制备的大鼠5／6肾切除模型表现有所不同。     

Characterization of Competitive Inhibitors for the Transferase Activity of Pseudomonas aeruginosa Exotoxin A

A series of small, nonpolar compounds were tested for their ability to inhibit the ADP-ribosyl transferase activity of Pseudomonas aeruginosa exotoxin A. The IC 50 values for the compounds tested ranged from 87 nM to 484 μM for NAP and CMP12, respectively. It was demonstrated that NAP was a competitive inhibitor of the ADPRT reaction for the NAD + substrate with a K i of 45 ± 5 nM, which was in good agreement with the dissociation constant determined independently (K D =56 ± 6 nM). The IC 50 value for NAP was 87 ± 12 nM, which strongly correlated with the K i and K D values. Furthermore, NAP was shown to noncovalently associate with the exotoxin A active site using exhaustive dialysis, NMR, and electrospray mass spectrometry. Finally, a computer molecular model using the X-ray structure of the substrate-bound toxin was generated with NAP bound to the active site of exotoxin A at the nicotinamide-binding site. This model is consistent with the X-ray structure of the catalytic domain of poly-ADP-ribose polymerase complexed with 4-amino-naphthalimide (Compound 4) that was included in this study.     

Predicting species distributions in poorly-studied landscapes

Conservationists are increasingly relying on distribution models to predict where species are likely to occur, especially in poorly-surveyed but biodiverse areas. Modeling is challenging in these cases because locality data necessary for model formation are often scarce and spatially imprecise. To identify methods best suited to modeling in these conditions, we compared the success of three algorithms (Maxent, Mahalanobis Typicalities and Random Forests) at predicting distributions of eight bird and eight mammal species endemic to the eastern slopes of the central Andes. We selected study species to have a range of locality sample sizes representative of the data available for endemic species of this region and also that vary in their distribution characteristics. We found that for species that are known from moderate numbers (N = 38–94) of localities, the three methods performed similarly for species with restricted distributions but Maxent and Random Forests yielded better results for species with wider distributions. For species with small numbers of sample localities (N = 5–21), Maxent produced the most consistently successful results, followed by Random Forests and then Mahalanobis Typicalities. Because evaluation statistics for models derived from few localities can be suspect due to the poor spatial representation of the evaluation data, we corroborated these results with review by scientists familiar with the species in the field. Overall, Maxent appears to be the most capable method for modeling distributions of Andean bird and mammal species because of the consistency of results in varying conditions, although the other methods have strengths in certain situations. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Human sleep and circadian rhythms: a simple model based on two coupled oscillators

We propose a model of the human circadian system. The sleep-wake and body temperature rhythms are assumed to be driven by a pair of coupled nonlinear oscillators described by phase variables alone. The novel aspect of the model is that its equations may be solved analytically. Computer simulations are used to test the model against sleep-wake data pooled from 15 studies of subjects living for weeks in unscheduled, time-free environments. On these tests the model performs about as well as the existing models, although its mathematical structure is far simpler.Supported by NIGMS Grant No. 5-R01-GM-30719-03