Homeostatic model of human thermoregulation with bi-stability

All homoiothermic organisms are capable of maintaining a stable body temperature using various negative feedback mechanisms. However, current models cannot satisfactorily describe the thermal adaptation of homoiothermic living systems in a physiologically meaningful way. Previously, we introduced stress entropic load, a novel variable designed to quantify adaptation costs, i.e. the stress of the organism, using a thermodynamic approach. In this study, we use stress entropic load as a starting point for the construction of a novel dynamical model of human thermoregulation. This model exhibits bi-stable mechanisms, a physiologically plausible features which has thus far not been demonstrated using a mathematical model. This finding allows us to predict critical points at which a living system, in this case a human body, may proceed towards two stabilities, only one of which is compatible with being alive. In the future, this may allow us to quantify not only the direction but rather the extent of therapeutic intervention in critical care patients.

The strategic choice of contract types in business process outsourcing

PurposeHow to determine the appropriate contractual structure for an outsourcing relationship has been a major theme in the business process outsourcing (BPO) literature. Drawing on transaction cost economics, this study aims to examine how anticipated coordination and adaptation costs in a BPO relationship affect the choice of contract types. Specifically, this research categorizes contracts types (fixed-price, time and materials and hybrid contracts) based on levels of contract design comprehensiveness and flexibility to change.Design/methodology/approachThe research setting is the BPO for a focal firm, involving a contractor. Data from 153 US companies are collected using a structured questionnaire on senior executives of functional areas of marketing, IT and finance. Hypotheses were tested using ordered probit model.FindingsThe results show that maturity is negatively associated with anticipated adaptation costs, while modularity and IT detachability are negatively related to anticipated coordination costs. Furthermore, adaptation costs have a direct impact on the choice, whereas the anticipated coordination costs do not have a significant direct impact on contract choice. The strength of adaptation costs' impact, however, is significantly reduced when coordination costs are high.Originality/valueThis study explicitly examines the role of anticipated coordination and adaptation costs in shaping the strategic choice of contract types in the BPO market. By differentiating the two types of anticipated transaction costs, this research enables a better understanding of the dynamics between transaction characteristics, anticipated transaction costs and contract types in complicated relationships such as BPO relationships.

Unravelling the Importance of Uncertainties in Global-Scale Coastal Flood Risk Assessments under Sea Level Rise

Global scale assessments of coastal flood damage and adaptation costs under 21st century sea-level rise are associated with a wide range of uncertainties, including those in future projections of socioeconomic development (shared socioeconomic pathways (SSP) scenarios), of greenhouse gas concentrations (RCP scenarios), and of sea-level rise at regional scale (RSLR), as well as structural uncertainties related to the modelling of extreme sea levels, data on exposed population and assets, and the costs of flood damages, etc. This raises the following questions: which sources of uncertainty need to be considered in such assessments and what is the relative importance of each source of uncertainty in the final results? Using the coastal flood module of the Dynamic Interactive Vulnerability Assessment modelling framework, we extensively explore the impact of scenario, data and model uncertainties in a global manner, i.e., by considering a large number (>2000) of simulation results. The influence of the uncertainties on the two risk metrics of expected annual damage (EAD), and adaptation costs (AC) related to coastal protection is assessed at global scale by combining variance-based sensitivity indices with a regression-based machine learning technique. On this basis, we show that the research priorities in terms of future data/knowledge acquisition to reduce uncertainty on EAD and AC differ depending on the considered time horizon. In the short term (before 2040), EAD uncertainty could be significantly decreased by 25 and 75% if the uncertainty of the translation of physical damage into costs and of the modelling of extreme sea levels could respectively be reduced. For AC, it is RSLR that primarily drives short-term uncertainty (with a contribution ~50%). In the longer term (>2050), uncertainty in EAD could be largely reduced by 75% if the SSP scenario could be unambiguously identified. For AC, it is the RCP selection that helps reducing uncertainty (up to 90% by the end of the century). Altogether, the uncertainty in future human activities (SSP and RCP) are the dominant source of the uncertainty in future coastal flood risk.

Analysis of adaptation costs of the organization’s personnel

Assessment and analysis of personnel costs of an organization is becoming increasingly important in modern conditions, determining, along with other indicators, the competitiveness of an economic entity. However, the calculation of personnel costs can not be performed based only on the data of traditional accounting for Russian organizations, which determines the relevance of the topic of the proposed work. The purpose of this work is to evaluate and analyze the organization’s adaptation costs for employees such as the client Department Manager. As a result of evaluating the productive and unproductive costs of adapting a client Department Manager, it was found that their assessment is possible on the basis of certain assumptions, unproductive adaptation costs exceed productive ones, which does not allow them to be ignored, and the total adaptation costs of one Manager are about 70,000 rubles, which gives an idea of the amount of personnel costs for all management functions. The expediency of accounting for personnel costs for each organization is justified.

Climate change adaptation cost and residual damage to global crop production

Adaptation will be essential in many sectors, including agriculture, as a certain level of warming is anticipated even after substantial climate mitigation. However, global adaptation costs and adaptation limits in agriculture are understudied. Here, we estimate the global adaptation cost and residual damage (climate change impacts after adaptation) for maize, rice, wheat and soybean using a global gridded crop model and empirical production cost models. Producers require additional expenditures under climate change to produce the same crop yields that would be achieved without climate change, and this difference is defined as the adaptation cost. On a decadal mean basis, the undiscounted global cost of climate change (adaptation cost plus residual damage) for the crops are projected to increase with warming from 63 US$ billion (B) at 1.5°C to $80 B at 2°C and to $128 B at 3°C per year. The adaptation cost gradually increases in absolute terms, but the share decreases from 84% of the cost of climate change ($53 B) at 1.5°C to 76% ($61 B) at 2°C and to 61% ($8 B) at 3°C. The residual damage increases from 16% ($10 B) at 1.5°C to 24% ($19 B) at 2°C and to 39% ($50 B) at 3°C. Once maintaining yields becomes difficult due to the biological limits of crops or decreased profitability, producers can no longer bear adaptation costs, and residual damages increase. Our estimates offer a basis to identify the gap between global adaptation needs and the funds available for adaptation.

Global analysis of the uncertainties prevailing in global-scale assessment of coastal flood damage and adaptation costs under 21st century sea-level rise

<p>Global scale assessment of coastal flood damage and adaptation costs under 21st century sea-level rise are associated with a wide range of uncertainties including those in future projections of socioeconomic development (SSP scenarios), of greenhouse gas emissions (RCP scenarios), and of sea-level rise (SLR). These uncertainties also include structural uncertainties related to the modeling of extreme sea levels, vulnerability functions, and the translation of flooding-induced damage to costs. This raises the following questions: what is the relative importance of each source of uncertainty in the final global-scale results? Which sources of uncertainty need to be considered? What uncertainties are of negligible influence? Hence, getting better insights in the role played by these uncertainties allows to ease their communication and to structure the message on future coastal impacts and induced losses. Using the integrated DIVA Model (see e.g. Hinkel et al., 2014, PNAS), we extensively explore the impact of these uncertainties in a global manner, i.e. by considering a large number (~3,000) of scenario combinations and by analyzing the associated results using a regression-based machine learning technique (i.e. regression decision trees). On this basis, we show the decreasing roles, over time, of the uncertainties in the extremes’ modeling together with the increasing roles of SSP and of RCP after 2030 and 2080 for the damage and adaptation costs respectively. This means that mitigation of climate change helps to reduce uncertainty of adaptation costs, and choosing a particular SSP reduces the uncertainty on the expected damages. In addition, the tree structure of the machine learning technique allows an in-depth analysis of the interactions of the different uncertain factors. These results are discussed depending on the SLR data selected for the analysis, i.e. before and after the recently released IPCC SROCC report on September 2019.</p>

A transaction cost explanation of the card-or-cash decision among Vietnamese debit card holders

PurposeThis research provides a new perspective in explaining cardholders' willingness to use debit cards instead of cash by applying the transaction costs economic theory. This study also expands the adaptation of transaction cost economics theory in explaining consumer behaviour by investigating the moderating effects of income and education level on the relationship between perceived transaction costs and willingness to use debit cards.Design/methodology/approachThe conceptual framework was developed primarily from the transaction cost economics theory. An in-depth interview method was employed to further support hypothesis development and the development of measurement scales. A structural equation model linking asset specificity, behavioural uncertainty, environmental uncertainty, frequency of payment, perceived monitoring costs, perceived adaptation costs and willingness to use debit cards was tested using data from a sample of 384 Vietnamese debit card holders.FindingsThis study's results support the transaction cost economics theory that asset specificity, uncertainty and frequency of payment all positively contribute to the perceived transaction costs associated with debit card usage. However, only environmental uncertainty and perceived adaptation costs have significant negative impact on willingness to use debit cards, with the relationship between environmental uncertainty and willingness to use debit cards being totally mediated by perceived adaptation costs. Moreover, the relationship between perceived adaptation costs and willingness to use debit cards becomes less negative among richer and better-educated cardholders.Practical implicationsThe research provides insights into the hidden obstacles for developing cashless economies, thereby supporting policy makers in designing more effective and comprehensive strategies to make debit cards more widely used as a true substitute for cash.Originality/valueThis study provides a new lens in explaining customer willingness to use debit cards, while expanding the transaction costs economics theory by incorporating demographic factors as moderators in the relationship between transaction costs and the card-or-cash choice.