Biomechanical costs and benefits of sit-and-wait foraging traps

2019 ◽  
Vol 66 (1-2) ◽  
pp. 5-14 ◽  
Author(s):  
Sean J. Blamires

Abstract Traps are rarely used by animals, despite the plausible benefits of broadening the number and diversity of prey that sit-and-wait foragers might be able to capture. The most well-known trap building sit-and-wait foragers are among the invertebrates, i.e. antlions, wormlions, glow worms, caddisflies, and spiders. A plausible hypothesis for the paucity of trap building by other animals is that biomechanical limitations render them inefficient or ineffective at catching sufficient prey. Here I examined the literature to make a valued judgement about the validity of this hypothesis. It appears that antlion and wormlion pit traps cannot catch and retain the largest prey they might expect to encounter. Arachnacampa glowworm traps are functionally efficient, facilitated by the animal’s bioluminescence. Nevertheless they only function in very moist or humid conditions. Caddisfly traps rely on flowing water to be able to capture their prey. Spiders are exceptional in developing a wide range of prey trapping strategies, from webs with dry adhesives, to sticky orb webs, to modified orb webs, e.g. elongated “ladder” webs, to webs with additional structures, and web aggregations. Some spiders have even redesigned their webs to minimize the high prey escape rates associated with web two dimensionality. These webs nevertheless are constructed and used at specific costs. While hard data across all of the invertebrate predators is lacking, there seems to be credence in the hypothesis that the biomechanical limitations placed on trap functionality can explain their limited use among animals.

Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 11 ◽  
Author(s):  
Guillaume Lestrelin ◽  
Jean-Christophe Castella ◽  
Qiaohong Li ◽  
Thoumthone Vongvisouk ◽  
Nguyen Dinh Tien ◽  
...  

Reducing emissions from deforestation and forest degradation (REDD+) is viewed as an effective way to mitigate climate change by compensating stewards of forested areas for minimizing forestland conversion and protecting forest services. Opportunity costs assess the cost of foregone opportunity when preserving the forest instead of investing in an alternative activity or resource use. This paper questions the calculation method of opportunity costs using averaged economic benefits and co-benefits of different land-use transitions. We propose a nested approach to land-use transitions at the interface between landscapes and livelihoods and assessing a wide range of potential socio-ecological costs and benefits. Combining household surveys and focus groups with participatory mapping, we applied the approach in villages of Laos, Vietnam and China positioned along a broad transition trajectory from subsistence shifting cultivation to intensive commercial agriculture. By looking beyond the economics of land use, we highlight important linkages between land-use changes and livelihood differentiation, vulnerability and inequalities. Our results show the importance of addressing the impacts of land-use transitions on a wide range of potential ecological and socioeconomic costs and benefits at multiple levels.


2006 ◽  
Vol 1 (3) ◽  
pp. 148-168 ◽  
Author(s):  
Jennifer Strauss Hendricks ◽  
Meg Calkins

While green roof technologies are increasingly employed in Northern European countries, adoption is progressing at a much slower rate in the US. This manuscript discusses results of a survey that quantified knowledge, barriers, and perceived costs and benefits to use of green roof technology among a sample of architects and building owners in the Midwest. The survey also examined conditions that may encourage use of this technology among the respondents. Results show that many respondents do not fully recognize the economic or performance advantages offered by green roof technologies. The payback period for economic advantage is longer than owners are willing to consider. Both owners and architects possess a wide range of misconceptions about the performance advantages of green roofs. While green roof technology offers clear environmental advantages such as reduced stormwater runoff, increased habitat, and cooler temperatures that mitigate heat island effects, many building owner respondents either do not know about or value these advantages. This research quantified potential adopters' perceptions of an innovative technology and the survey results are interpreted and discussed within the conceptual framework of innovation diffusion literature. Strategies to hasten the adoption of green roof technology are suggested.


1992 ◽  
Vol 7 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Barbara Farbey ◽  
Frank Land ◽  
David Targett

Evaluating the costs and benefits of IT projects is currently a major issue for senior general managers. This paper focuses on a particular aspect of the problem: how organizations appraise IT investments in taking the decision whether to go ahead with them or not. The paper looks first at the different roles of evaluation; second at what is done in practice and third at what might be done given the wide range of techniques that are available and the widely different circumstances in which appraisal is undertaken. A speculative heuristic is proposed for matching an evaluation method with a particular situation. The method is presented in the hope of stimulating further research into the matching problem.


2021 ◽  
Vol 14 (8) ◽  
pp. 1254-1261
Author(s):  
Nan Tang ◽  
Ju Fan ◽  
Fangyi Li ◽  
Jianhong Tu ◽  
Xiaoyong Du ◽  
...  

Can AI help automate human-easy but computer-hard data preparation tasks that burden data scientists, practitioners, and crowd workers? We answer this question by presenting RPT, a denoising autoencoder for tuple-to-X models (" X " could be tuple, token, label, JSON, and so on). RPT is pre-trained for a tuple-to-tuple model by corrupting the input tuple and then learning a model to reconstruct the original tuple. It adopts a Transformer-based neural translation architecture that consists of a bidirectional encoder (similar to BERT) and a left-to-right autoregressive decoder (similar to GPT), leading to a generalization of both BERT and GPT. The pre-trained RPT can already support several common data preparation tasks such as data cleaning, auto-completion and schema matching. Better still, RPT can be fine-tuned on a wide range of data preparation tasks, such as value normalization, data transformation, data annotation, etc. To complement RPT, we also discuss several appealing techniques such as collaborative training and few-shot learning for entity resolution, and few-shot learning and NLP question-answering for information extraction. In addition, we identify a series of research opportunities to advance the field of data preparation.


SPE Journal ◽  
2019 ◽  
Vol 25 (01) ◽  
pp. 081-104 ◽  
Author(s):  
Yimin Liu ◽  
Louis J. Durlofsky

Summary In this study, we explore using multilevel derivative-free optimization (DFO) for history matching, with model properties described using principal-component-analysis (PCA) -based parameterization techniques. The parameterizations applied in this work are optimization-based PCA (O-PCA) and convolutional-neural-network (CNN) -based PCA (CNN-PCA). The latter, which derives from recent developments in deep learning, is able to accurately represent models characterized by multipoint spatial statistics. Mesh adaptive direct search (MADS), a pattern-search method that parallelizes naturally, is applied for the optimizations required to generate posterior (history-matched) models. The use of PCA-based parameterization considerably reduces the number of variables that must be determined during history matching (because the dimension of the parameterization is much smaller than the number of gridblocks in the model), but the optimization problem can still be computationally demanding. The multilevel strategy introduced here addresses this issue by reducing the number of simulations that must be performed at each MADS iteration. Specifically, the PCA coefficients (which are the optimization variables after parameterization) are determined in groups, at multiple levels, rather than all at once. Numerical results are presented for 2D cases, involving channelized systems (with binary and bimodal permeability distributions) and a deltaic-fan system using O-PCA and CNN-PCA parameterizations. O-PCA is effective when sufficient conditioning (hard) data are available, but it can lead to geomodels that are inconsistent with the training image when these data are scarce or nonexistent. CNN-PCA, by contrast, can provide accurate geomodels that contain realistic features even in the absence of hard data. History-matching results demonstrate that substantial uncertainty reduction is achieved in all cases considered, and that the multilevel strategy is effective in reducing the number of simulations required. It is important to note that the parameterizations discussed here can be used with a wide range of history-matching procedures (including ensemble methods), and that other derivative-free optimization methods can be readily applied within the multilevel framework.


Author(s):  
Alexander H. Lovett ◽  
C. Tyler Dick ◽  
Conrad Ruppert ◽  
M. Rapik Saat ◽  
Christopher Barkan

In order for a railroad to function effectively all aspects of the system should be maintained in good working order. Locomotives and rolling stock regularly move through areas where they can be inspected and maintained. However track does not move, so inspectors must traverse the line either on foot or in a rail mounted vehicle and maintenance crews must be sent to specific locations to make track repairs, which may not always happen before a service disruption. A track failure, due to either exceeding some industry or governmental specification or an acute failure, such as a rail break, can result in costly delays or even derailments with significant consequences. To help avoid such failures, it is beneficial for a railroad to be able to predict when and where failures might occur and then evaluate the relative costs and benefits of performing maintenance activities to ensure that the most cost effective actions are taken. A model is being developed to assist in the process of scheduling and directing track maintenance work. The model consists of three primary modules: an integrated track quality and degradation module, a maintenance activity selection module, and a scheduling optimization module. By taking into account a wide range of costs and benefits, the model can help railroad infrastructure managers better account for risk and indirect costs such as track time, as well as account for the criticality of certain types of imminent failures. This paper will describe the inputs and outputs for the model, as well as detailing the concepts associated with each of the model components.


2017 ◽  
Author(s):  
Jason M. Graham ◽  
Albert B. Kao ◽  
Dylana A. Wilhelm ◽  
Simon Garnier

AbstractIntegrating the costs and benefits of collective behaviors is a fundamental challenge to understanding the evolution of group living. These costs and benefits can rarely be quantified simultaneously due to the complexity of the interactions within the group, or even compared to each other because of the absence of common metrics between them. The construction of ‘living bridges’ by New World army ants - which they use to shorten their foraging trails - is a unique example of a collective behavior where costs and benefits have been experimentally measured and related to each other. As a result, it is possible to make quantitative predictions about when and how the behavior will be observed. In this paper, we extend a previous mathematical model of these costs and benefits into a general framework for analyzing the optimal formation, and final configuration, of army ant living bridges. We provide experimentally testable predictions of the final bridge position, as well as the optimal formation process for certain cases, for a wide range of scenarios, which more closely resemble common terrain obstacles that ants encounter in nature. As such, our framework offers a rare benchmark for determining the evolutionary pressures governing the evolution of a naturally occurring collective animal behavior.


1968 ◽  
Vol 8 (3) ◽  
pp. 410-418 ◽  
Author(s):  
Swadesh R. Bose

Professor Huda's conference address on the "Planning Experience in Pakistan" covers, within a space of some twenty pages, a wide range of issues important for the country's economic planning and policies. Many problems are not, however, considered at length, and some questions are just raised for detailed study by experts. But with its analysis, suggestions and questions, this address is highly stimulating to economists and policy-makers in their endeavour to identify and resolve the problems confronting development planning in Pakistan. He dwells, among other things, on the problems of relationship between the planning technician and the policy-maker, appropriate planning techniques, interregional balance in development, the pace and the pattern of industrialisation, incentives to private enterprise and role of the public sector, income dis¬tribution and saving generation, and costs and benefits of external aid. He finally reflects on the major tasks that should be undertaken in the Fourth-Plan period. The main focus of the following comments will be on the relationship between the technician and the politician in development planning, private incentives and social goals, and income distribution and mobilisation of domes¬tic savings.


1989 ◽  
Vol 7 (1) ◽  
pp. 36-44 ◽  
Author(s):  
A Goldhirsch ◽  
R D Gelber ◽  
R J Simes ◽  
P Glasziou ◽  
A S Coates

The use of adjuvant chemotherapy for postmenopausal patients with early breast cancer remains controversial because the potential benefits in terms of prolongation of disease-free survival (DFS) and overall survival (OS) must be balanced against the toxicity of treatment. Following mastectomy, 463 evaluable postmenopausal women with node-positive breast cancer were randomized to receive either chemoendocrine therapy for 1 year, or endocrine therapy alone for 1 year, or no adjuvant therapy (Ludwig Trial III). At 7-years median follow-up, OS was longer for the chemoendocrine-treated patients compared with controls (P = .04) and compared with the adjuvant endocrine therapy-alone group (P = .08). In order to balance this therapeutic advantage against the toxic effects of treatment, OS time was divided into time with toxicity (TOX), time without symptoms and toxicity (TWiST), and time after systemic relapse (REL). TOX and REL were weighted by coefficients of utility relative to TWiST and the results added to give a period of quality-adjusted survival (Q-TWiST). Benefits measured by Q-TWiST generally favored chemoendocrine therapy. For example, if TOX and REL were both given utility coefficients of 0.5 relative to 1.0 for TWiST, then by 7 years the average Q-TWiST for chemoendocrine therapy was 6.7 months longer than for no-adjuvant therapy (P = .05) and 4.1 months longer than for endocrine therapy alone (P = .20). Quality-adjusted survival analysis is recommended in assessing costs and benefits of toxic adjuvant therapy. In this example, it supports the use of chemoendocrine therapy in postmenopausal node-positive patients for a wide range of relative values assigned to periods with symptoms and toxicity.


Insects ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 267 ◽  
Author(s):  
Jetske de Boer ◽  
Jeffrey Harvey

Global climate change is resulting in a wide range of biotic responses, including changes in diel activity and seasonal phenology patterns, range shifts polewards in each hemisphere and/or to higher elevations, and altered intensity and frequency of interactions between species in ecosystems. Oak (Thaumetopoea processionea) and pine (T. pityocampa) processionary moths (hereafter OPM and PPM, respectively) are thermophilic species that are native to central and southern Europe. The larvae of both species are gregarious and produce large silken ‘nests’ that they use to congregate when not feeding. During outbreaks, processionary caterpillars are capable of stripping foliage from their food plants (oak and pine trees), generating considerable economic damage. Moreover, the third to last instar caterpillars of both species produce copious hairs as a means of defence against natural enemies, including both vertebrate and invertebrate predators, and parasitoids. These hairs contain the toxin thaumetopoein that causes strong allergic reactions when it comes into contact with human skin or other membranes. In response to a warming climate, PPM is expanding its range northwards, while OPM outbreaks are increasing in frequency and intensity, particularly in northern Germany, the Netherlands, and southern U.K., where it was either absent or rare previously. Here, we discuss how warming and escape from co-evolved natural enemies has benefitted both species, and suggest possible strategies for biological control.


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