Evaluation of Sampling-Based Methods for Sensitivity Analysis: Case Study for the E. coli Food Safety Process Risk Model

This article evaluates selected sensitivity analysis methods applicable to risk assessment models with two-dimensional probabilistic frameworks, using a microbial food safety process risk model as a test-bed. Six sampling-based sensitivity analysis methods were evaluated including Pearson and Spearman correlation, sample and rank linear regression, and sample and rank stepwise regression. In a two-dimensional risk model, the identification of key controllable inputs that can be priorities for risk management can be confounded by uncertainty. However, despite uncertainty, results show that key inputs can be distinguished from those that are unimportant, and inputs can be grouped into categories of similar levels of importance. All selected methods are capable of identifying unimportant inputs, which is helpful in that efforts to collect data to improve the assessment or to focus risk management strategies can be prioritized elsewhere. Rank-based methods provided more robust insights with respect to the key sources of variability in that they produced narrower ranges of uncertainty for sensitivity results and more clear distinctions when comparing the importance of inputs or groups of inputs. Regression-based methods have advantages over correlation approaches because they can be configured to provide insight regarding interactions and nonlinearities in the model.     

Bimetallic Zeolitic Imidazolite Framework Derived Carbon Nanotubes Embedded with Co Nanoparticles for Efficient Bifunctional Oxygen Electrocatalyst

Bifunctional oxygen catalysts for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) with high activities and low‐cost are of prime importance and challenging in the development of fuel cells and rechargeable metal–air batteries. This study reports a porous carbon nanomaterial loaded with cobalt nanoparticles (Co@NC‐x/y) derived from pyrolysis of a Co/Zn bimetallic zeolitic imidazolite framework, which exhibits incredibly high activity as bifunctional oxygen catalysts. For instance, the optimal catalyst of Co@NC‐3/1 has the interconnected framework structure between porous carbon and embedded carbon nanotubes, which shows the superb ORR activity with onset potential of ≈1.15 V and half‐wave potential of ≈0.93 V. Moreover, it presents high OER activity that can be further enhanced to over commercial RuO₂ by P‐doped with overpotentials of 1.57 V versus reversible hydrogen electrode at 10 mA cm^?2 and long‐term stability for 2000 circles and a Tafel slope of 85 mV dec^?1. Significantly, the nanomaterial demonstrates better catalytic performance and durability than Pt/C for ORR and commercial RuO₂ and IrO₂ for OER. These findings suggest the importance of a synergistic effect of graphitic carbon, nanotubes, exposed Co–N_x active sites, and interconnected framework structure of various carbons for bifunctional oxygen electrocatalysts.     

3D,Mutually Embedded MOF@Carbon Nanotube Hybrid Networks for High‐Performance Lithium‐Sulfur Batteries

Metal‐organic frameworks (MOFs) hybridized with a conductive matrix could potentially serve as a sulfur host for lithium‐sulfur (Li‐S) battery electrodes; so far most of the previously studied hybrid structures are in the powder form or thin compact films. This study reports 3D porous MOF@carbon nanotube (CNT) networks by grafting MOFs with tailored particle size uniformly throughout a CNT sponge skeleton. Growing larger‐size MOF particles to entrap the conductive CNT network yields a mutually embedded structure with high stability, and after sulfur encapsulation, it shows an initial discharge capacity of ≈1380 mA h g^?1 (at 0.1 C) and excellent cycling stability with a very low fading rate. Furthermore, owing to the 3D porous network that is suitable for enhanced sulfur loading, a remarkable areal capacity of ≈11 mA h cm^?2 (at 0.1 C) is obtained, which is much higher than other MOF‐based hybrid electrodes. The mutually embedded MOF@CNTs with simultaneously high specific capacity, areal capacity, and cycling stability represent an advanced candidate for developing high‐performance Li‐S batteries and other energy storage systems.     

Bayesian sparse‐based reconstruction in bioluminescence tomography improves localization accuracy and reduces computational time

Bioluminescence tomography (BLT) provides fundamental insight into biological processes in vivo. To fully realize its potential, it is important to develop image reconstruction algorithms that accurately visualize and quantify the bioluminescence signals taking advantage of limited boundary measurements. In this study, a new 2‐step reconstruction method for BLT is developed by taking advantage of the sparse a priori information of the light emission using multispectral measurements. The first step infers a wavelength‐dependent prior by using all multi‐wavelength measurements. The second step reconstructs the source distribution based on this developed prior. Simulation, phantom and in vivo results were performed to assess and compare the accuracy and the computational efficiency of this algorithm with conventional sparsity‐promoting BLT reconstruction algorithms, and results indicate that the position errors are reduced from a few millimeters down to submillimeter, and reconstruction time is reduced by 3 orders of magnitude in most cases, to just under a few seconds. The recovery of single objects and multiple (2 and 3) small objects is simulated, and the recovery of images of a mouse phantom and an experimental animal with an existing luminescent source in the abdomen is demonstrated. Matlab code is available at https://github.com/jinchaofeng/code/tree/master .      

Estimating the effects of non‐native species on nutrient recycling using species‐specific and general allometric models

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The farming ant Sericomyrmex amabilis nutritionally manages its fungal symbiont and its social parasite

1. When parasites exploit mutualisms involving food exchange, they can destabilise the partnership with costs to interacting partners. For instance, the ant Sericomyrmex amabilis farms fungal symbionts to produce food, but, in so doing, attracts parasitic Megalomyrmex symmetochus guest ants that infiltrate fungus‐farming ant societies and live with their hosts their entire lives. 2. The present study examined whether host foraging in parasitised colonies shifts towards nutritional requirements of the parasitic guest ants as inferred from the parasite's elemental content (%C, %N, and C:N). 3. Laboratory feeding experiments with nutritionally defined diets indicated that S. amabilis ants harvest protein‐biased substrate, and more total substrate when hosting M. symmetochus relative to when provisioning their fungus gardens and nestmates. 4. Field surveys further showed that parasitised colonies incur reductions in fungus garden nutritional quality and quantity, brood mass, and host worker body condition. And yet these costs appear manageable across growing seasons, as parasitised fungal cultivars appear to provide sufficient nutrition for stable populations of host ants. 5. The approach developed here shows how behavioural strategies for nutrient regulation can extend beyond the needs of the individual to entire fungus‐farming systems, and implies that S. amabilis dynamically adjusts collective foraging strategies when parasitised to enhance long‐term symbiotic stability.     

Comparative analysis of nanobody sequence and structure data

Nanobodies are a class of antigen‐binding protein derived from camelids that achieve comparable binding affinities and specificities to classical antibodies, despite comprising only a single 15 kDa variable domain. Their reduced size makes them an exciting target molecule with which we can explore the molecular code that underpins binding specificity—how is such high specificity achieved? Here, we use a novel dataset of 90 nonredundant, protein‐binding nanobodies with antigen‐bound crystal structures to address this question. To provide a baseline for comparison we construct an analogous set of classical antibodies, allowing us to probe how nanobodies achieve high specificity binding with a dramatically reduced sequence space. Our analysis reveals that nanobodies do not diversify their framework region to compensate for the loss of the VL domain. In addition to the previously reported increase in H3 loop length, we find that nanobodies create diversity by drawing their paratope regions from a significantly larger set of aligned sequence positions, and by exhibiting greater structural variation in their H1 and H2 loops.     

基于社会-生态系统的沙漠化逆转过程脆弱性评价指标体系

土地沙漠化是当今世界最为严峻的生态环境问题之一。沙漠化逆转作为其反向转化过程,存在一定的脆弱性和不稳定性,即沙漠化逆转趋势减弱或反向发展的倾向。社会-生态系统理念是当今世界生态系统分析的新思路,从该视角界定沙漠化逆转过程的脆弱性概念,选取Driving-Pressure-Status-Impact-Response(DPSIR)分析框架,以农牧交错带典型沙漠化逆转区宁夏盐池县为案例,针对沙漠化逆转的因果联系和过程特点,构建一套涵盖气候湿润指数、生态治理指数、沙地所占比例在内的4层、5要素、41指标的评价体系,进而探讨驱动力、压力、状态、影响、响应5项要素间的逻辑因果关系及其脆弱性定量化计算方法,以期科学评估沙漠化逆转过程的脆弱性,为该类型区沙漠化问题的进一步治理和调控提供科学依据。     

Approaches to assessing and managing cumulative ecosystem change,with the Bay of Quinte as a case study: an essay

Rising concern for the future of humans and the earth's ecosystems provides the backdrop for an essay on approaches to assessing and managing ecosystem health. A review and critique of two rival metaphors of human health, illness and wellness, provide the staring point for evaluation of parallel approaches to the assessment and management of ecosystems. The limitations of the metaphors are noted for humans and ecosystems. The impact assessment and ecosystem approach concepts of ecosystem assessment and management are contrasted. As a case history, the nature and pace of change in the Bay of Quinte ecosystem are reviewed, spanning from colonization by the Empire Loyalists at the end of the 18th century through the current development of a remedial action plan for the ecosystem. The review includes the long-term scientific study of the Bay's response to point-source phosphorus control (Project Quinte) and the recent efforts to develop and implement a coordinated clean-up program (Remedial Action Plan). From the lessons of the Quinte experience, a framework is derived, combining the illness and wellness approaches to health. The framework deals with five topics: uncertainty and the precautionary principle; an ecosystem health scale; indicators of ecosystem health; maximum allowable change; and, regulation and planning. Uncertainty should not be used to justify inaction. A precautionary principle assumes that impacts will occur and places the burden of proof on the proponents of ecosystem disturbance. An ecosystem health scale is defined using current, original, and potential conditions. Restoration to the original condition is unlikely but provides a justifiable direction for actions to establish sustainability. Indicators of ecosystem health with sustainable ranges are preferred over end-points and thresholds. The concept of maximum allowable change is promoted with a tentative suggestion that a fifty percent rule might be used. Finally, an argument for the combined use of regulation and planning. Regulatory approaches tend to perpetuate confrontation. Planning can be used to lengthen the time-horizon from quarterly reports to generations and identify self-regulating codes of behaviour. The framework is briefly discussed and placed in a broader context linking humans and ecosystem, illness and wellness.Based on the text of a talk presented at the Cumulative Impact Assessment Workshop held in Toronto, Ontario, December 1992, and sponsored by the North Central Division of the American Fisheries Society.