Maximization delays decision-making in acute care nursing

The maximization personality trait refers to the tendency to face decision-making situations along a continuum from exhaustively analysing all the options (maximize) to choosing the one that exceeds a subjective threshold of acceptability (satisfy). Research has revealed the influence of maximizing on decision making, although little is known about its possible role in high risk and high uncertainty situations. A sample of 153 active Spanish nurses, with an average experience of 11 years, completed a maximization questionnaire and responded to written vignettes depicting time-demanding decision making in which three options were offered, representing delayed action, non-action, and immediate action. Two vignettes presented critical situations related to acute care during the COVID-19 pandemic, whilst two vignettes presented non-nursing scenarios. People high in maximization took longer to choose and were more likely to choose non-action. No relationship was found between maximization score and the subjective experience of the person making the choice. Maximization had no significant correlation with years of experience nor perceived expertise. Greater perceived expertise was associated with lower indecision and greater confidence. When participants answered nursing vignettes, they took longer to respond, but chose less delayed action and more immediate action. Our results suggest that maximization plays only a relative role in acute care decision-making in nursing, as compared to contextual variables and expertise. They also support a domain general approach to this personality trait. Findings are consistent with Nibbelink and Reed's Practice-Primed Decision Model for nursing.

Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm

This paper is mainly aimed at the decomposition of image quality assessment study by using Three Parameter Logistic Mixture Model and k-means clustering (TPLMM-k). This method is mainly used for the analysis of various images which were related to several real time applications and for medical disease detection and diagnosis with the help of the digital images which were generated by digital microscopic camera. Several algorithms and distribution models had been developed and proposed for the segmentation of the images. Among several methods developed and proposed, the Gaussian Mixture Model (GMM) was one of the highly used models. One can say that almost the GMM was playing the key role in most of the image segmentation research works so far noticed in the literature. The main drawback with the distribution model was that this GMM model will be best fitted with a kind of data in the dataset. To overcome this problem, the TPLMM-k algorithm is proposed. The image decomposition process used in the proposed algorithm had been analyzed and its performance was analyzed with the help of various performance metrics like the Variance of Information (VOI), Global Consistency Error (GCE) and Probabilistic Rand Index (PRI). According to the results, it is shown that the proposed algorithm achieves the better performance when compared with the previous results of the previous techniques. In addition, the decomposition of the images had been improved in the proposed algorithm.

Effect of chia oil and pea protein content on stability of emulsions obtained by ultrasound and powder production by spray drying

Chia oil is susceptible to oxidation and to make this oil application into foodstuffs possible, chia-oil based microparticles were produced. Oil-in-water emulsions were produced by ultrasound and their stability was maximized using a central composite rotational design (X₁: pea protein X₂: oil concentration). Hi-Cap^® 100 (HC) or maltodextrin (MD) were used as carrier agents in spray drying. The validated formulation with 13.50% (w/w) oil and 3.87% (w/w) pea protein presented the best stability conditions (no phase separation for 7 days, monomodal size distribution, and 1.59 μm of moda diameter). Particles showed high encapsulation efficiency (87.71 and 91.97% for MD and HC, respectively) and low water activity and moisture values (0.114-0.150% and 2.64-3.41%, respectively). HC particles exhibited better physicochemical and structural characteristics, apart from their good reconstitution, which shows the potential of this approach as a viable alternative for the use of rich-plant ingredients, such as chia oil and pea protein.

COVID-19, Scarce Resources and Priority Ethics: Why Should Maximizers Be More Conservative?

Background

The principle of maximization, which roughly means that we should save more lives and more years of life, is usually taken for granted by the health community. This principle is even more forceful in crises like the COVID-19 pandemic, where we have scarce resources which can be allocated only to some patients. However, the standard consequentialist version of this principle can be challenging particularly when we have to reallocate a resource that has already been given to a patient.

Methodology

Engaging in thought experiments, conceptual analysis, providing counterexamples, and appealing to moral intuitions, we challenge the standard consequentialist version of the maximization principle and make a case for adopting an alternative deontological version.

Discussion

In certain cases, the standard consequentialist version of the maximization principle is shown to yield intuitively immoral results. The deontological version of this principle is preferable because it can retain the merits of the standard consequentialist version without falling prey to its problems.

Conclusion

Compared to the standard consequentialist version, the deontological version of the maximization principle can better guide the ethical decisions of the health community, even in cases where we face a scarcity of resources.

Hunters' preferences and perceptions as hunting predictors in a semiarid ecosystem

Game meat is a resource widely exploited by rural populations in various parts of the world. In recent decades, the growth in the number of people living near conserved areas has increased the demand for game meat. In this work, based on the Social-ecological Theory of Maximization, we seek to verify the influence of cost-benefit ratio, availability, and subjective preferences (flavor) in the selection of hunted species. We interviewed game-eating people in seven communities in the Brazilian semiarid region, recording information on hunting strategies, flavor preferences, and relative abundance of game fauna. We found that people hunt for the most available species regardless of the cost-benefit of this choice. Also, flavor preference can increase the odds of a species being hunted almost 100%. Our data show that hunters may prefer species that require less capture effort, even though they have energy-efficient alternatives. We found that flavor preference is proportionally the variable with the most significant effect on the chances of a species being hunted, suggesting that traditional optimal foraging models are too simple to cover the complexity involved in the selection of game species.

Probability Learning in an Uncertain World: How Children Adjust to Changing Contingencies

We regularly make predictions about future events, even in a world where events occur probabilistically rather than deterministically. Our environment may even be non-stationary such that the probability of an event may change suddenly or from one context to another. 4-6 year olds and adults viewed 3 boxes and guessed the location of a hidden toy. After 80 trials with one set of probabilities assigned to the 3 boxes, the spatial distribution of these probabilities was altered. Adults easily responded to this change, with participants who maximized in the first half (by choosing the most common location at a higher rate than it was presented) being the fastest at making this shift. Only the older children successfully switched to the new location, with younger children either partially switching, perseverating on their original strategy, or failing to learn the first distribution, suggesting a fundamental development in children's response to changing probabilities.

"The Theory was Beautiful Indeed": Rise, Fall and Circulation of Maximizing Methods in Population Genetics (1930-1980)

Describing the theoretical population geneticists of the 1960s, Joseph Felsenstein reminisced: "our central obsession was finding out what function evolution would try to maximize. Population geneticists used to think, following Sewall Wright, that mean relative fitness, W, would be maximized by natural selection" (Felsenstein 2000). The present paper describes the genesis, diffusion and fall of this "obsession", by giving a biography of the mean fitness function in population genetics. This modeling method devised by Sewall Wright in the 1930s found its heyday in the late 1950s and early 1960s, in the wake of Motoo Kimura's and Richard Lewontin's works. It seemed a reliable guide in the mathematical study of deterministic effects (the study of natural selection in populations of infinite size, with no drift), leading to powerful generalizations presenting law-like properties. Progress in population genetics theory, it then seemed, would come from the application of this method to the study of systems with several genes. This ambition came to a halt in the context of the influential objections made by the Australian mathematician Patrick Moran in 1963. These objections triggered a controversy between mathematically- and biologically-inclined geneticists, with affected both the formal standards and the aims of population genetics as a science. Over the course of the 1960s, the mean fitness method withered with the ambition of developing the deterministic theory. The mathematical theory became increasingly complex. Kimura re-focused his modeling work on the theory of random processes; as a result of his computer simulations, Lewontin became the staunchest critic of maximizing principles in evolutionary biology. The mean fitness method then migrated to other research areas, being refashioned and used in evolutionary quantitative genetics and behavioral ecology.

Model of Prey-Predator Dynamics with Reflexive Spatial Behaviour of Species Based on Optimal Migration

We consider the model of spatially distributed community consisting of two species with "predator-prey" interaction; each of the species occupies two stations. Transfer of individuals between the stations (migration) is not random, and migration stipulates the maximization of net reproduction of each species. The spatial distribution pattern is provided by discrete stations, and the dynamics runs in discrete time. For each time moment, firstly a redistribution of individuals between the stations is carried out to maximize the net reproduction, and then the reproduction takes place, with the upgraded abundances. Besides, three versions of the basic model are implemented where each species implements reflexive behaviour strategy to determine the optimal migration flow. It was found that reflexivity gives an advantage to the species realizing such strategy, for some specific sets of parameters. Nevertheless, the regular scanning of the parameters area shows that non-reflexive behaviour yields an advantage in the great majority of parameters combinations.

Open-access publishing model for World Chinese Journal of Digestology achieves maximization of the benefits to readers, authors and the society

World Chinese Journal of Digestology (WCJD) is a peer-reviewed, online, open-access (OA) journal. The biggest advantage of the OA model is that it provides free, full-text articles in PDF and other formats for experts and the public without registration, which eliminates the obstacle that traditional journals possess and usually delays the speed of the propagation and communication of scientific research results. The open-access model has been proven to be a true approach that may achieve the ultimate goal of the journal, i.e., the maximization of the benefits to readers, authors and the society.

Size-specific reproductive parameters in red algae: a comparative analysis for two sympatric species from Central Chile

Ahnfeltia durvillaei and Gymnogongrus furcellatus, two intertidal red algae from central Chile, often grow sympatrically and their gametophytic phases are dominant in the field, but recruitment is low. A shortterm comparative analysis of the reproductive behavior of their gametophytes was carried out to determine quantitative levels of reproduction and their degree of functional similarity. Size, rather than age, was evaluated as predictor of fecundity. Both species showed the same qualitative patterns, although maintaining quantitative differences. Reproductive plants were recorded throughout the size range, and fecundity increased continuously and directly with size. A size-independent threshold in reproductive effort was found for each species, and the variance of effort values decreased inversely with size. Vertical, size-specific life tables revealed low dependence of survivorship with size, and reproductive values exhibited a maximum at the same size class for both species. This last pattern, and a negative relationship found between fecundity and survivorship, suggest the existence of costs or trade-offs operating at the phenotypic level, but they would not be supported in a selective context.