Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confounding

We study bias-reduced estimators of exponentially transformed parameters in general linear models (GLMs) and show how they can be used to obtain bias-reduced conditional (or unconditional) odds ratios in matched case-control studies. Two options are considered and compared: the explicit approach and the implicit approach. The implicit approach is based on the modified score function where bias-reduced estimates are obtained by using iterative procedures to solve the modified score equations. The explicit approach is shown to be a one-step approximation of this iterative procedure. To apply these approaches for the conditional analysis of matched case-control studies, with potentially unmatched confounding and with several exposures, we utilize the relation between the conditional likelihood and the likelihood of the unconditional logit binomial GLM for matched pairs and Cox partial likelihood for matched sets with appropriately setup data. The properties of the estimators are evaluated by using a large Monte Carlo simulation study and an illustration of a real dataset is shown. Researchers reporting the results on the exponentiated scale should use bias-reduced estimators since otherwise the effects can be under or overestimated, where the magnitude of the bias is especially large in studies with smaller sample sizes.     

具有节点偏置的高阶神经网络模型

在汪涛文献基础上提出了一个具有节点偏置的高阶神经网络模型、给出了模型的哈密顿量和学习算法,证明了学习算法的收敛性,该模型能对每一神经元自动引入一个节点偏置使得网络能够存储所有学习图样包括相关图样,其存储容量远高于Hebb—rule—like学习算法下的高阶神经网络模型.对由30个神经元组成的二阶神经网络进行了计算机仿真,结果证实了上述结论.此外,对初始突触强度对学习效果的影响和不同存储图样数目下的平均吸引半径进行了仿真计算并分析了所得结果.新模型的特点使其具有良好的应用前景     

The impact of climate change on the future distribution of priority crop wild relatives in Indonesia and implications for conservation planning

The analysis of climate change impact is essential to include in conservation planning of crop wild relatives (CWR) to provide the guideline for adequate long-term protection under unpredictable future environmental conditions. These resources play an important role in sustaining the future of food security, but the evidence shows that they are threatened by climate change. The current analyses show that five taxa were predicted to have contraction of more than 30 % of their current ranges: Artocarpus sepicanus (based on RCP 4.5 in both no dispersal and unlimited dispersal scenario and RCP 8.5 in no dispersal scenario by 2050), Ficus oleifolia (RCP 4.5 5 in both no dispersal and unlimited dispersal scenario by 2080), Cocos nucifera and Dioscorea alata (RCP 8.5 in both no dispersal and unlimited dispersal scenario by 2050), and Ficus chartacea (RCP 8.5 in both no dispersal and unlimited dispersal scenario by 2050 and 2080). It shows that the climate change impact is species-specific. Representative Concentration Pathways (RCP) of greenhouse gas (GHG) emission and dispersal scenarios influence the prediction models, and the actual future distribution range of species falls in between those scenarios. Climate refugia, holdout populations, and non-analogue community assemblages were identified based on the Protected Areas (PAs) network. PAs capacity is considered an important element in implementing a conservation strategy for the priority CWR. In areas where PAs are isolated and have less possibility to build corridors to connect each other, such as in Java, unlimited dispersal scenarios are unlikely to be achieved and assisted dispersal is suggested. The holdout populations should be the priority target for the ex situ collection. Therefore, by considering the climate refugia, PAs capacity and holdout populations, the goal of keeping high genetic variations for the long-term conservation of CWR in Indonesia can be achieved.     

N equals two (times five). Exploring the effects of horse rewilding on five congeneric adult butterflies

Rewilding incomplete ecosystems by using ungulate megaherbivores represents a significant potential for sustainable management of habitats of declining species. Two xeric grasslands patches in the Podyjí National Park, Czech Republic, were rewilded by a feral horse breed, the Exmoor pony, in 2018. Before this in 2017, demography, mobility, and adult habitat use of five congeneric Melitaea butterflies co-occurring at the grasslands were investigated (Vodickova et al., J. Nature Conserv. 2019). In 2021, four seasons after the rewilding, we replicated the survey to assess the effects of the horse on the butterflies. Here, we compare the results of the two surveys and investigate changes in spatial patterns of adult distribution using Ripley’s K-functions.Total numbers of captures, and estimated population sizes, were consistently lower in 2021, with the largest drop for spring-flying M. cinxia. We cannot discern whether this was due to the cold 2021 spring, or due to reduction of grasses by the horse, possibly contributing to desiccation of M. cinxia host plants. Demographic parameters such as residency/longevity and capture probability changed only little. Mobility ranking among species remained identical, but within species, some mobility characteristics changed among years. Among early summer species, M. britomartis, second most abundant in 2017, switched to the first position with M. aurelia, and these two species displayed the most notable shift in adult habitat use between the two seasons. Short thorny shrubs avoided by the horse protect M. britomartis host plants; this threatened butterfly thus did not suffer from horse presence. M. athalia, a species of woodland edges, profited from decay of conifers caused by a series of dry years; and M. didyma, forming multiple generations, from increase of its host plant. Contrary to expectations, spatial distribution of most butterflies became more aggregated within rewilded pastures, probably due to regularities in home ranges use by the horses, which restructured the vegetation in a zonal, rather than patchy, way. A considerably larger areas should be rewilded by the herbivores to fully achieve the desired beneficial effects.     

A genome-wide perspective on the diversity and selection signatures in indigenous goats using 53 K single nucleotide polymorphism array

Tibetan goats, Taihang goats, Jining grey goats, and Meigu goats are the representative indigenous goats in China, found in Qinghai-Tibet Plateau, Western pastoral area, Northern and Southern agricultural regions. Very few studies have conducted a comprehensive analysis of the genomic diversity and selection of these breeds. We genotyped 96 unrelated individuals, using goat 53 K Illumina BeadChip array, of the following goat breeds: Tibetan (TG), Taihang (THG), Jining grey (JGG), and Meigu (MGG). A total of 45 951 single nucleotide polymorphisms were filtered to estimate the genetic diversity and selection signatures. All breeds had a high proportion (over 95%) of polymorphic loci. The observed and excepted heterozygosity ranged from 0.338 (MGG) to 0.402 (JGG) and 0.339 (MGG) to 0.395 (JGG), respectively. Clustering analysis displayed a genetically distinct lineage for each breed, and their Fst were greater than 0.25, indicating that they had a higher genetic differentiation between groups. Furthermore, effective population size reduced in all four populations, indicating a loss of genetic diversity. In addition, runs of homozygosity were mainly distributed in 5–10 Mb. Lastly, we identified signature genes, which were closely related to high-altitude adaptation (ADIRF) and prolificity (CNTROB, SMC3, and PTEN). This study provides a valuable resource for future studies on genome-wide perspectives on the diversity and selection signatures of Chinese indigenous goats.     

1H and 15N NMR resonance assignments and solution secondary structure of oxidized Desulfovibrio desulfuricans flavodoxin

Summary Sequence-specific ¹H and ¹⁵N resonance assignments have been made for 137 of the 146 nonprolyl residues in oxidized Desulfovibrio desulfuricans [Essex 6] flavodoxin. Assignments were obtained by a concerted analysis of the heteronuclear three-dimensional ¹H-¹⁵N NOESY-HMQC and TOCSY-HMQC data sets, recorded on uniformly ¹⁵N-enriched protein at 300 K. Numerous side-chain resonances have been partially or fully assigned. Residues with overlapping ¹H^N chemical shifts were resolved by a three-dimensional ¹H-¹⁵N HMQC-NOESY-HMQC spectrum. Medium-and long-range NOEs, ³J_NH coupling constants, and ¹H^N exchange data indicate a secondary structure consisting of five parallel -strands and four -helices with a topology similar to that of Desulfovibrio vulgaris [Hidenborough] flavodoxin. Prolines at positions 106 and 134, which are not conserved in D. vulgaris flavodoxin, contort the two C-terminal -helices.Abbreviations CSI chemical shift index - DQF-COSY double-quantum-filtered correlation spectroscopy - DIPSI decoupling in the presence of scalar interactions - FMN flavin mononucleotide - GARP globally optimized alternating phase rectangular pulse - HMQC heteronuclear multiple-quantum coherence - HSQC heteronuclear single-quantum coherence - NOE nuclear Overhauser effect - NOESY nuclear Overhauser enhancement spectroscopy - TOCSY total correlation spectroscopy - TPPI time-proportional phase increments - TSP 3-(trimethylsilyl)propionic-2,2,3,3-d ₄ acid, sodium salt     

Indirect determination of magnetic susceptibility tensors in peroxidases: a novel approach to structure elucidation by NMR

 The chemical shifts of several ¹³C nuclei positioned α to the haems in oxidised cyanide complexes of horseradish peroxidase and lignin peroxidase are reported and analysed in terms of π molecular orbitals with perturbed D_4h symmetry. The additional contributions to the paramagnetic shifts of ¹³C nuclei in the vinyl groups which arise from conjugation with the porphyrin π molecular orbitals are discussed, and an empirical correction factor is derived from a number of other compounds which contain haems b. The orbital mixing parameter which is obtained from the analysis of the experimental ¹³C shifts is compared with the orientation of the axial histidine ligands in X-ray structures of related compounds and found to be close to the orientation of the normal to the histidine ring. Comparison with the magnetic axes determined by fitting the dipolar shifts of several protons which have been assigned previously also shows close agreement with the negative in-plane rotation of the magnetic y axis. It is therefore possible to obtain the approximate orientation of the magnetic axes from ¹³C resonances of the haem and hence to determine the dipolar shifts at any point in space with respect to the haem by using these axes together with the anisotropy of the magnetic susceptibility, which can be obtained by extrapolation from EPR g values. Excellent agreement is found between dipolar shifts obtained by fitting an empirical magnetic susceptibility tensor and predictions based on ¹³C NMR and EPR in the case of lignin peroxidase. The agreement is less good in the case of horseradish peroxidase, in which the empirical magnetic z axis appears to be tilted significantly away from the haem normal, though this may be due in part to the lack of accurate atomic coordinates. It is concluded that useful estimates of the magnetic susceptibility tensor may be obtained from ¹³C NMR and EPR studies even in large mammalian peroxidases for which no structural models are available. Received: 27 December 1995 / Accepted: 17 April 1996     

异视界绒螨(Allothrombium ignotum)种群密度与生态环境的关系

研究表明,无视异绒螨种群密度与棉田连作年限之间呈正相关,与棉田海拔高度和水位之间呈负相关.露地棉田螨量明显高于地膜覆盖棉田.若螨在静水中的浮水时间可持续5.2h.成螨产卵的最适土壤含水量为12.5%.不同杀虫剂对幼螨杀伤力为溴氰菊酯喷雾>氧化乐果喷雾>三氯杀螨醇喷雾>氧化乐果缓释剂涂茎.因此,发展灌溉棉田、棉花适当连作、棉花生长期采取药剂涂茎治蚜对壮大无视异绒螨种群密度有重要作用.     

生物种群动态微分方程模型参数估计方法

本文以数值分析和最优化技术的有机结合为基础,提出了一种新的对动态微分方程模型直接进行数据拟合和参数估计方法,并以Logistic微分方程、生物种间竞争关系微分方程以及一种复合形态的Logistic微分方程为例进行了数据拟合试验．结果表明,该方法对各种动态微分方程模型均能进行最优拟合分析并求解其参数．同时发现,以前有的作者〔1,2,3,4,5〕提出的方法所得到的参数估计值存在系统误差且误差较大．