Examples of how LTP and LTD can control adaptively-timed learning that modulates attention and motor control are given. It is also suggested that LTP/LTD can play a role in storing memories. The distinction between match-based and mismatch-based learning may help to clarify the difference.

The large, ancient ape population of the Miocene reached across Eurasia and down into Africa. From this genetically diverse group, the chimpanzees, bonobos, gorillas, and humans evolved from populations of successively reduced size. Using the findings of genomics, population genetics, cognitive science, neuroscience, and archaeology, the authors construct a theoretical framework of evolutionary innovations without which religious capacity could not have emerged as it did. They begin with primate sociality and strength from a basic ape model, and then explore how (...) the human line came to be the most adaptive and flexible of all, while coming from populations with reduced genetic variability. Their analysis then delves into the importance of neurological plasticity and a lengthening developmental trajectory, and points to their following article and the last building block: the expansion of the parietal areas, which allowed visuospatial reckoning, and imagined spaces and beings essential to human theologies. Approximate times for the major cognitive building blocks of religious capacity are given. (shrink)

In response to the COVID-19 pandemic, millions of students in China followed an emergency policy called “Suspending Classes without Stopping Learning” to continue their study online as schools across the country were closed. The present study examines how students adapted to learning online in these unprecedented circumstances. We aimed to explore the relationship between adaptability, academic emotion, and student engagement during COVID-19. 1,119 university students from 20 provinces participated in this longitudinal study (2 time points with a 2-week interval). (...) The results showed that adaptability (the ability to respond to changes) and student engagement are significantly positively correlated with positive academic emotion and negatively correlated with negative academic emotion. Furthermore, adaptability not only directly predicts student engagement, but also affects student engagement through the chain mediation of positive academic emotion and negative academic emotion. The results contribute to the gap in knowledge regarding changes in students’ learning in response to the outbreak. This study further explains the internal mechanisms mediating the relationship between adaptability and student engagement. It may provide references for educational researchers and universities in dampening the negative effects of COVID-19 on students’ learning by improving their adaptability and developing positive academic emotions. (shrink)

When attempting to predict future events, people commonly rely on historical data. One psychological characteristic of judgmental forecasting of time series, established by research, is that when people make forecasts from series, they tend to underestimate future values for upward trends and overestimate them for downward ones, so-called trend-damping. Events in a time series can be experienced sequentially, or they can also be retrospectively viewed simultaneously, not experienced individually in real time. In one experiment, we studied the (...) influence of presentation mode on two sorts of judgment: predictions of the next event and estimation of the average value of all the events in the presented series. Participants' responses in dynamic mode were anchored on more recent events than in static mode for all types of judgment but with different consequences; hence, dynamic presentation improved prediction accuracy, but not estimation. These results are not anticipated by existing theoretical accounts; we develop and present an agent-based model—the adaptive anchoring model —to account for the difference between processing sequences of dynamically and statically presented stimuli. ADAM captures how variation in presentation mode produces variation in responses in both forecasting and judgment tasks. ADAM's model predictions for the forecasting and judgment tasks fit better with the response data than a linear-regression time series model. Moreover, ADAM outperformed autoregressive-integrated-moving-average and exponential-smoothing models, while neither of these models accounts for people's responses on the average estimation task. (shrink)

The rural-migrant protagonist in Knut Hamsun’s Hunger fails to adapt to the urban environment because the moral algorithm that informs his collaborative choices is unfit for the city. He often responds poorly when overwhelmed by pride, shame, or other sensations that he struggles to make sense of. Such emotions are hypothesized to be neuro­computational adaptations crafted by natural selection to help us get ahead as collabora­tors. But with societal transformation, these feelings can become a poor match for a new reality. (...) Reprogramming oneself can be challenging; Hunger’s protagonist must suffer months of emotional and physical pain before he adapts. His journey, and Hamsun’s mod­ernist project, can be illuminated by recent research on status management and morality as cooperation. As literature, Hunger could fulfill several adaptive functions by mapping mor­als for urban pro-sociality at a time of great disruption. Similar moral adaptation could become necessary in our present era, too. (shrink)

An adaptive neural network control problem is addressed for a class of nonlinear hydraulic servo-systems with time-varying state constraints. In view of the low precision problem of the traditional hydraulic servo-system which is caused by the tracking errors surpassing appropriate bound, the previous works have shown that the constraint for the system is a good way to solve the low precision problem. Meanwhile, compared with constant constraints, the time-varying state constraints are more general in the actual systems. Therefore, (...) when the states of the system are forced to obey bounded time-varying constraint conditions, the high precision tracking performance of the system can be easily realized. In order to achieve this goal, the time-varying barrier Lyapunov function is used to prevent the states from violating time-varying constraints. By the backstepping design, the adaptive controller will be obtained. A radial basis function neural network is used to estimate the uncertainties. Based on analyzing the stability of the hydraulic servo-system, we show that the error signals are bounded in the compacts sets; the time-varying state constrains are never violated and all singles of the hydraulic servo-system are bounded. The simulation and experimental results show that the tracking accuracy of system is improved and the controller has fast tracking ability and strong robustness. (shrink)

Using the methodology and findings of conversation analysis, we analyze changes in the talk of a man with aphasia (a language disorder acquired following brain damage) at two points in his spontaneous recovery period in the first months post-stroke. We note that in the earlier conversation (15 weeks post-stroke) two of the turn constructional methods he particularly makes use of are replacement (a form of repair) and extension. By the time of the latter conversation (30 weeks poststroke) these methods (...) are less prevalent, while another repair operation, insertion, is now used in a particular way not seen in the earlier conversation. We suggest that these methods are means by which the aphasic speaker adapts his limited linguistic resources to the demands of constructing a turn-at-talk in conversation in order to lessen the extent of repair and delay with the turn and thus lessen the exposure of his linguistic noncompetence and his identity as ‘different’, ‘disabled’, or ‘language impaired’. These turn constructional methods are dynamic and change as the speaker recovers. We suggest that communication disorders such as aphasia can be problematic not only because of difficulties they can cause in conveying information or producing other social actions, but also because they can create difficulties in the presentation of self in everyday life. (shrink)

This study examined the effect of an interference task on the consolidation of duration in long-term memory. In a temporal generalization task, the participants performed a learning phase with a reference duration that either was, or was not, followed 30 minutes later by a 15-min interference task. They were then given a memory test, 24h later. Using different participant groups, several reference durations were examined, from several hundred milliseconds (600ms) to several seconds (2.5, 4 and 8s). The results showed that (...) the scalar timing property (i.e. precision proportional to judged duration) was preserved despite the interference task given during the memory consolidation process. However, the interference task increased the variability of time judgment and tended to produce a lengthening effect in all reference duration conditions. The modeling of individual data with parameters derived from scalar expectancy theory suggests that disrupting the memory consolidation of learned reference durations introduces noise in their representation in memory, with time being specifically distorted towards a lengthened duration. (shrink)

This article presents the framework and explores the measurement, correlates, and outcomes of creative adaptability, proposed here as the cognitive–behavioral-emotional ability to respond creatively and adaptively to stressful situations. Data collection was in April 2020, during the peak of the outbreak of the Coronavirus pandemic in Israel. In Study 1, a sample of 310 adults completed the newly developed CA scale, as well as spontaneity, openness to experience, creative self-efficacy, and well-being measurements. The results of exploratory and confirmatory factor analyses (...) corroborated the 9-item CA scale’s theorized underlying construct. The scale’s validity and reliability were also supported. Exploratory analyses suggested that the association between CA and well-being was mediated by creative self-efficacy and that CA may buffer the impact of individuals’ concern about Coronavirus on their well-being. In Study 2, short-term longitudinal data based on a sample of 71 students suggested that CA may predict lower psychological stress over time. Support for the CA scale’s internal consistency reliability was obtained and its test–retest reliability was established. Overall, the results shed light on this new construct as a potential protective factor. Implications for theory, research, and practice are discussed. (shrink)

Adaptive Intelligence is a dramatic reappraisal and reframing of the concept of human intelligence. In a sweeping analysis, Robert J. Sternberg argues that we are using a fatally-flawed, outdated conception of intelligence; one which may promote technological advancement, but which has also accelerated climate change, pollution, the use of weaponry, and inequality. Instead of focusing on the narrow academic skills measured by standardized tests, societies should teach and assess adaptive intelligence, defined as the use of collective talent in service of (...) the common good. This book describes why the outdated notion of intelligence persists, what adaptive intelligence is, and how it could lead humankind on a more positive path. (shrink)

The problem of adaptive finite-time fault-tolerant control and output constraints for a class of uncertain nonlinear half-vehicle active suspension systems are investigated in this work. Markovian variables are used to denote in terms of different random actuators failures. In adaptive backstepping design procedure, barrier Lyapunov functions are adopted to constrain vertical motion and pitch motion to suppress the vibrations. Unknown functions and coefficients are approximated by the neural network. Assisted by the stochastic practical finite-time theory and FTC theory, (...) the proposed controller can ensure systems achieve stability in a finite time. Meanwhile, displacement and pitch angle in systems would not violate their maximum values, which imply both ride comfort and safety have been enhanced. In addition, all the signals in the closed-loop systems can be guaranteed to be semiglobal finite-time stable in probability. The simulation results illustrate the validity of the established scheme. (shrink)

This paper proposes an adaptive neural network control approach for a direct-current system with full state constraints. To guarantee that state constraints always remain in the asymmetric time-varying constraint regions, the asymmetric time-varying Barrier Lyapunov Function is employed to structure an adaptive NN controller. As we all know that the constant constraint is only a special case of the time-varying constraint, hence, the proposed control method is more general for dealing with constraint problem as compared with the (...) existing works on DC systems. As far as we know, this system is the first studied situations with time-varying constraints. Using Lyapunov analysis, all signals in the closed-loop system are proved to be bounded and the constraints are not violated. In this paper, the effectiveness of the control method is demonstrated by simulation results. (shrink)

This paper presents an adaptive fuzzy sliding-mode controller for multiple Euler–Lagrange systems communicated with directed topology. Based on the graph theory and Lyapunov–Krasovskii functions, a delay-dependent sufficient condition for the existence of sliding surfaces is given in terms of linear matrix inequalities. The asymptotic stability is analyzed by using the Lyapunov method in the presence of unknown parametric dynamics, actuator faults, and time-varying delays. The usage of adaptive techniques is to adapt the unknown parameters so that the objective of (...) globally asymptotic stability is achieved. Finally, simulation results are provided to illustrate the effectiveness of the proposed control scheme. (shrink)

This paper studies the adaptive event-triggered finite-time tracking of output-constrained high-order nonlinear systems with time-varying powers. Due to the presence of multiple unknown powers and the consideration of event-triggered control, all the existing control methods of output-constrained nonlinear systems are inapplicable. By introducing nonlinear mappings, finite-time performance functions, and low-power and high-power terms into adding a power integrator technique and the relative threshold strategy, an adaptive state-feedback controller is designed to eliminate the effects caused by the output (...) constraint and time-varying powers. It is proved that all the closed-loop signals are bounded, the asymmetric time-varying output constraint is not violated, and the tracking error converges to a prescribed arbitrarily small region around zero in a preassigned finite time. Furthermore, the Zeno phenomenon can be avoided. Two simulation examples demonstrate the effectiveness of this control scheme. (shrink)

This paper presents an adaptive neural tracking control approach for a two-joint robotic manipulator with unknown time-varying delays. In order to work out the effect of unknown time-varying delays on the two-joint robotic manipulator, the appropriate Lyapunov–Krasovskii functionals and separation technology are chosen to settle this matter. The neural networks work as an approximator that has the advantage of estimating the unknown function in the system. In this paper, Lyapunov stability analysis can prove that all signals of the (...) closed-loop system are semiglobal uniformly ultimately bounded and the tracking error can converge to a compact neighborhood with respect to zero. The simulation consequences demonstrate the availability of the feedforward control approach. (shrink)

In this paper, we mainly investigate the coordinated tracking control issues of multiple Euler–Lagrange systems considering constant communication delays and output constraints. Firstly, we devise a distributed observer to ensure that every agent can get the information of the virtual leader. In order to handle uncertain problems, the neural network technique is adopted to estimate the unknown dynamics. Then, we utilize an asymmetric barrier Lyapunov function in the control design to guarantee the output errors satisfy the time-varying output constraints. (...) Two distributed adaptive coordinated control schemes are proposed to guarantee that the followers can track the leader accurately. The first scheme makes the tracking errors between followers and leader be uniformly ultimately bounded, and the second scheme further improves the tracking accuracy. Finally, we utilize a group of manipulator networks simulation experiments to verify the validity of the proposed distributed control laws. (shrink)

The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time identification technique Recursive Least Squares. In order to find anomalies, the approach compares the present system dynamics with the average (centroid) of the dynamics found in earlier states for a given setpoint. The system labels the dynamics difference as an anomaly if it rises over a determinate threshold. To validate the (...) proposal, two different datasets obtained from a level control plant operation have been used, to which anomalies have been artificially added. The results shown have determined a satisfactory performance of the method, especially in those processes with low noise. (shrink)

Animals and plants are metaorganisms and associate with microbes that affect their physiology, stress tolerance, and fitness. Here the hypothesis that alteration of the microbiome may constitute a fast‐response mechanism to environmental change is examined. This is supported by recent reciprocal transplant experiments with reef corals, which have shown that their microbiome adapts to thermally variable habitats and changes over time when transplanted into different environments. Further, inoculation of corals with beneficial bacteria increases their stress tolerance. But corals differ (...) in their ability to flexibly associate with different bacteria. How scales of microbiome flexibility may reflect different metaorganism adaptation mechanisms is discussed and future directions for research are pinpointed. It is posited that microbiome flexibility is a broad phenomenon that contributes to the ability of organisms to respond to environmental change. Importantly, adapting with microbial help may provide an alternate route to organismal adaptation that facilitates rapid responses. (shrink)

This paper develops an adaptive fixed-time trajectory tracking controller of an underactuated hovercraft with a prescribed performance in the presence of model uncertainties and unknown time-varying environment disturbances. It is the first time that the proposed method is applied to the motion control of the hovercraft. To begin with, based on the hovercraft's four degrees of freedom model, the virtual control laws are designed using an error transforming function and the fixed-time stability theory to guarantee that (...) the position tracking errors are constrained within the prescribed convergence rates and minimum overshoot. In addition, by combining the Lyapunov direct method and the adaptive radial basis function neural network, the actual control laws are designed to ensure that the velocity tracking errors converge to a small region containing zero while handling model uncertainties and external disturbances effectively. Finally, all tracking errors of the closed-loop system are uniformly ultimately bounded and fixed-time convergent. Results from a comparative simulation study verify the effectiveness and advantage of the proposed method. (shrink)

The co-evolutionary concept of Three-modal stable evolutionary strategy of Homo sapiens is developed. The concept based on the principle of evolutionary complementarity of anthropogenesis: value of evolutionary risk and evolutionary path of human evolution are defined by descriptive (evolutionary efficiency) and creative-teleological (evolutionary correctly) parameters simultaneously, that cannot be instrumental reduced to others ones. Resulting volume of both parameters define the trends of biological, social, cultural and techno-rationalistic human evolution by two gear mechanism ˗ gene-cultural co-evolution and techno- humanitarian balance. (...) The resultant each of them can estimated by the ratio of socio-psychological predispositions of humanization/dehumanization in mentality. Explanatory model and methodology of evaluation of creatively teleological evolutionary risk component of NBIC technological complex is proposed. Integral part of the model is evolutionary semantics (time-varying semantic code, the compliance of the biological, socio-cultural and techno-rationalist adaptive modules of human stable evolutionary strategy). (shrink)

This paper studies the fixed-time trajectory tracking control problem of robot manipulators in the presence of uncertain dynamics and external disturbances. First, a novel nonsingular fixed-time sliding mode surface is presented, which can ensure that the convergence time of the suggested surface is bounded regardless of the initial states. Subsequently, a novel fast nonsingular fixed-time sliding mode control is developed so that the closed-loop system is fixed-time convergent to the equilibrium. By applying the proposed NFNFSMC (...) method and the adaptive technique, a novel adaptive nonsingular fixed-time control scheme is proposed, which can guarantee fast fixed-time convergence of the tracking errors to small regions around the origin. With the proposed control method, the lumped disturbance is compensated by the adaptive technique, whose prior information about the upper bound is not needed. The fixed-time stability of the trajectory tracking control under the proposed controller is proved by the Lyapunov stability theory. Finally, corresponding simulations are given to illustrate the validity and superiority of the proposed control approach. (shrink)

This article is related to the issue of fixed-time synchronization of different dimensional complex network systems with unknown parameters. Two suitable adaptive controllers and dynamic parameter estimations are proposed such that the complex network driving and response systems can be synchronized in the settling time. Based on fixed-time control theory and Lyapunov functional method, novel sufficient conditions are provided to guarantee the synchronization within the fixed times, and the settling times are explicitly evaluated, which are independent of (...) the initial synchronization errors. Finally, a numerical example is given to illustrate the effectiveness of the proposed control algorithms. (shrink)

Public health ethics is a subfield of bioethics that focuses on population health. This study aims to conform the principles of biomedical ethics to Islamic values in the context of public health. It culturally helps to optimize health care delivery. The approach is based on the method of immanent critique. The principle of the common good in Islam has a rational justification to draw public interests and ward off harms. The rule of “no harm”, with an emphasis on the preferability (...) of preventing harm to increase benefits, is consistent with the principle of utility, intending to produce a maximum balance of benefit over harm in the context of public health. Thus, on the one hand, the government is obliged to prevent harm and improve public benefits and, on the other hand, as a steward of health and with reference to the article “limitation of the ownership dominance”, it has the right to protect public health with the least justifiable harm. Islam attention to human dignity, individual justice and good will in the rule of goodness implies that Islam, beyond distributive justice, knows that human flourishing and the cultivation of moral virtues are a requisite for the realization of social justice. The present study discusses about the adjustment of the principles of PHE to the principles of the Islamic jurisprudence and, at the same time, it explains why the optimal PH in Muslim societies requires research in order to define accurate indicators of benefit and harm based on the teachings of revelation and reason. (shrink)

This paper investigates the fixed-time coordinated control problem of six-degree-of-freedom dynamic model for multiple spacecraft formation flying with input quantization, where the communication topology is assumed directed. Firstly, a new multispacecraft nonsingular fixed-time terminal sliding mode vector is derived by using neighborhood state information. Secondly, a hysteretic quantizer is utilized to quantify control force and torque. Utilizing such a quantizer not only can reduce the required communication rate but also can eliminate the control chattering phenomenon induced by the (...) logarithmic quantizer. Thirdly, a 6-DOF fixed-time coordinated control strategy with adaptive tuning laws is proposed, such that the practical fixed-time stability of the controlled system is ensured in the presence of both upper bounds of unknown external disturbances. It theoretically proves that the relative tracking errors of attitude and position can converge into the regions in a fixed time. Finally, a numerical example is exploited to show the usefulness of the theoretical results. (shrink)

Adaptations during phylogenesis or ontogenesis can occur either by maintaning constant or by increasing the informational content of the organism. In the former case the increasing adaptations to external perturbation are achieved by increasing the rate of genome replication; the increased amount of DNA reflects an increase of total but not of law informational content. In the latter case the adaptations are achieved by either istructionist or evolutionary mechanism or a combination of both. Evolutionary adaptations occur during ontogenesis mainly in (...) the brain-mind, immunological and receptor systems and involve a repertoire of receptors that are., clonally distributed, genome-conditioned and amplified by somatic mutation. Specificity and intensity of responses are achieved a posteriori as a result of natural selection of the clones. The major adaptations during phylogenesis are accompanied by increased complexity. They have been attributed to shifts, short in time and space, against the entropic drive and thus occur notwithstanding the entropic drive and the second law of thermodynamics. The alternative view, is that the generation of complexity is due to the second law of thermodynamics in its extended formulation which includes Prigogine's theorem of minimum entropy production. This view requires however that natural selection provides the biological system with structures that bring the reactions within Onsager's range. The hierarchical organization of the natural world thus reflects a stratified thermodynamic stability. As the evolutionary adaptations generate new information they may be assimilated to Marxwell demon type of processes. (shrink)

An adaptive fractional-order nonsingular terminal sliding mode controller for a microgyroscope is presented with uncertainties and external disturbances using a fuzzy neural network compensator based on a backstepping technique. First, the dynamic of the microgyroscope is transformed into an analogical cascade system to guarantee the application of a backstepping design. Then, a fractional-order nonsingular terminal sliding mode surface is designed which provides an additional degree of freedom, higher precision, and finite convergence without a singularity problem. The proposed control scheme requires (...) no prior knowledge of the unknown dynamics of the microgyroscope system since the fuzzy neural network is utilized to approximate the upper bound of the lumped uncertainties and adaptive algorithms are derived to allow online adjustment of the unknown system parameters. The chattering phenomenon can be reduced simultaneously by the fuzzy neural network compensator. The stability and finite time convergence of the system can be established by the Lyapunov stability theorem. Finally, simulation results verify the effectiveness of the proposed controller and the comparison of root mean square error between different fractional orders and integer order is given to signify the high precision tracking performance of the proposed control scheme. (shrink)

Why do species fail to adapt? This has been a long-standing question since Darwin posed it, and is still often asked. How should we evaluate the adaptive success of an organism, and what is the relevant timescale to evaluate adaptation? Over a generation? Across the time span of a species? Here, I frame a perspective on the adaptive process and discuss how adaptation occurs and what factors affect adaptive potential. To provide a broad context for adaptation, (...) I describe generalized species cycles that address how species originate, change over time, and give rise to new species, and I reason that there is an adaptive continuum with three main limits to adaptation: time, chance, and speciation. As a final goal, I identify a set of research problems that this view of adaptation brings to the fore in order to better understand adaptation and its limits. (shrink)

Conceptions of adaptation have varied in the history of genetic Darwinism depending on whether what is taken to be focal is the process of adaptation, adapted states of populations, or discrete adaptations in individual organisms. I argue that Theodosius Dobzhansky’s view of adaptation as a dynamical process contrasts with so-called “adaptationist” views of natural selection figured as “design-without-a-designer” of relatively discrete, enumerable adaptations. Correlated with these respectively process and product oriented approaches to adaptive natural selection are divergent (...) pictures of organisms themselves as developmental wholes or as “bundles” of adaptations. While even process versions of genetical Darwinism are insufficiently sensitive to the fact much of the variation on which adaptive selection works consists of changes in the timing, rate, or location of ontogenetic events, I argue that articulations of the Modern Synthesis influenced by Dobzhansky are more easily reconciled with the recent shift to evolutionary developmentalism than are versions that make discrete adaptations central. (shrink)

Applying the framework of ecological rationality, the authors studied the adaptivity of group decision making. In detail, they investigated whether groups apply decision strategies conditional on their composition in terms of task‐relevant features. The authors focused on the recognition heuristic, so the task‐relevant features were the validity of the group members' recognition and knowledge, which influenced the potential performance of group strategies. Forty‐three three‐member groups performed an inference task in which they had to infer which of two German companies had (...) the higher market capitalization. Results based on the choice data support the hypothesis that groups adaptively apply the strategy that leads to the highest theoretically achievable performance. Time constraints had no effect on strategy use but did have an effect on the proportions of different types of arguments. Possible mechanisms underlying the adaptive use of recognition in group decision making are discussed. (shrink)

Some proponents of the Anthropocene argue that it is time adopt a future-oriented outlook: natural baselines no longer matter, and humans should remake the planet for the better. This raises questions about whose vision should guide such remaking, and whether the past deserves any consideration in adapting for the future. I argue that the past remains relevant, because the natural, cultural, and social worlds people enter into – shaped by those who came before us – matter. On this view, (...) there are reasons to value ‘nature’, even in a human-altered world, and climate adaptation should take that into account. (shrink)

ObjectiveTo examine the effect of family and perceived organizational support on the relationship between nurse adaptability and their experience with COVID-related PTSD (post-traumatic stress disorder) symptoms in frontline nurses working on COVID-19 units.BackgroundProximity to and survival of life-threatening events contribute to a diagnosis of PTSD, which is characterized by avoidance of reminders of trauma, intrusive thoughts, flashbacks of events, sleep disturbances, and hypervigilance. Using the job-demands and resource model, we examined the effect of adaptability, family support, and perceived organizational support (...) on PTSD symptoms for nurses during the COVID-19 pandemic. Specifically, we tested whether perceptions of environmental supports—i.e., family and organizational support—moderated the relationship between nurse adaptability and COVID-related PTSD symptoms.MethodsA sample of frontline nurses working on COVID-19 units during the COVID-19 pandemic in Texas (N= 277) participated in this cross-sectional, observational study. Frontline Nurses reported demographic information and completed surveys designed to measure adaptability, perceived organizational support, family support, and COVID-related PTSD symptoms.ResultsAdaptability was significantly positively correlated (medium effects) to perceived organizational and family support (r= 0.51 and 0.56, respectively,p< 0.01). Adaptability and perceived organizational support were also negatively correlated with COVID-related PTSD symptoms (medium effects). Adaptability was negatively correlated with COVID-related PTSD symptoms, supporting Hypothesis 1 (r= −0.43,p< 0.01). Perceived organizational support was also significantly negatively correlated with COVID-19-related PTSD symptoms (r= −0.30,p< 0.01). Family support was not significantly correlated with COVID-related PTSD but was positively related to experiencing COVID-related PTSD after other variables were accounted for.ConclusionFindings suggest that individual adaptability and organizational support may reduce PTSD severity in frontline nurses working during a crisis; however, family support may increase PTSD symptoms. We provide suggestions for strengthening individual adaptability and healthcare leadership including remaining highly engaged to show support by providing rapid communication, remaining calm during difficult circumstances, and maintaining a consistent, physical presence during difficult times. Moreover, our results suggest additional support for nurses with families to adapt to crisis. (shrink)

Argues that information, in the animal behaviour or evolutionary context, is correlation/covariation. The alternation of red and green traffic lights is information because it is (quite strictly) correlated with the times when it is safe to drive through the intersection; thus driving in accordance with the lights is adaptive (causative of survival). Daylength is usefully, though less strictly, correlated with the optimal time to breed. Information in the sense of covariance implies what is adaptive; if an animal can infer (...) what the information implies, it increases its chances of survival. (shrink)

There is a growing need to implement anticipatory climate change adaptation measures, particularly in vulnerable sectors, such as in agriculture. However, setting goals to adapt is wrought with several challenges. This paper discusses two sets of challenges to goals of anticipatory adaptation, of empirical and normative character. The first set of challenges concern issues such as the extent to which the climate will change, the local impacts of such changes, and available adaptive responses. In the second set of (...) uncertainties are issues such as the distribution of burdens to enhance adaptive capacities in vulnerable agents with a legitimate claim to such resources, and what anticipatory adaptation ideally should result in. While previous discussions have been limited to either discuss the first or second set of uncertainties, this paper suggests that both dimensions should be considered when setting goals in social planning with long time frames. A taxonomy will be suggested that combines both dimensions. Furthermore, strategies for managing situations in which there are either empirical, or normative, uncertainties will be proposed which could be used in social decision-making with long planning time-frames in which goals must be set. (shrink)

When communicating, people adapt their linguistic representations to those of their interlocutors. Previous studies have shown that this also occurs at the semantic level for vague and context-dependent terms such as quantifiers and uncertainty expressions. However, work to date has mostly focused on passive exposure to a given speaker's interpretation, without considering the possible role of active linguistic interaction. In this study, we focus on gradable adjectives big and small and develop a novel experimental paradigm that allows participants to ask (...) clarification questions to figure out their interlocutor's interpretation. We find that, when in doubt, speakers do resort to this strategy, despite its inherent cognitive cost, and that doing so results in higher semantic alignment measured in terms of communicative success. While not all question–answer pairs are equally informative, we show that speakers become better questioners as the interaction progresses. Yet, the higher semantic alignment observed when speakers are able to ask questions does not increase over time. This suggests that conversational interaction's key advantage may be to boost coordination without committing to long-term semantic updates. Our findings shed new light on the mechanisms used by speakers to achieve semantic alignment and on how language is shaped by communication. (shrink)

Evolutionary Biology has two principal explananda, fit and diversity (Lewontin 1978). Natural selection theory stakes its claim to being the central unifying concept in biology on the grounds that it demonstrates both phenomena to be the consequence of a single process. By now the standard story hardly needs reiterating: Natural selection is a force that operates over a population, preserving the better fit, culling the less fit, and along the way promoting novel solutions to adaptive problems. Amundson’s historical survey of (...) the concept of adaptation captures the idea succinctly: The phenomenon of adaptation is at the core of modern evolutionary biology. Natural selection, the mechanism universally regarded as the primary causal influence on phenotypic evolutionary change, is first and foremost an explanation of adaptation. (1996: 11) At the same time, it appears that the capacity of natural selection to cause adaptations cannot account for every feature of the nature and distribution of biological form. Reason to believe this devolves from the simple fact that the bearers of biological form are organisms and a salient fact about organisms is that each faces the tribunal of the environment as a corporate entity, not as a loose aggregate of independent traits. One consequence of this fact is that at each stage of its development from egg to adult an organism must be an integrated, functioning whole. Another is that for any form to arise in an organism at a time, it must develop from the materials and processes at the organism’s disposal. The requirement of integration and the processes of development that produce it leave their distinctive marks on form. It seems reasonable, then, to suppose that one might appeal to the processes of development and the principles by which they operate in explaining the nature and distribution of biological form. (See here Gould 1977; Rose and Lauder 1996). (shrink)

It is likely that the process of global climate change will continue to accelerate. There is a lack of political will to confront the problem and the consequences for humanity — including widespread suffering and institutional destabilization — will be disastrous. How should educators respond to a catastrophic future? Here, Bryan Warnick argues that two criteria should guide the educational response. The response should not (1) undermine efforts to find an “unprecedented solution” to climate change, or (2) leave students unprepared (...) to adapt to a global catastrophe. Using these criteria, he analyzes several possible ways to help students adapt to disaster, including teaching survivalism, encouraging forms of emotional resilience (like the Stoic apatheia), and helping students to appreciate the current moment. These adaptive responses seem to violate the first criterion. At the same time, an educational response focused entirely on climate activism seems to violate the second criterion. Warnick ends by exploring ways to accommodate the need for both adaptation and social engagement, finding promise in the idea of a tragic activism. (shrink)