Differences in oscillatory whistles produced by spinner (Stenella longirostris) and pantropical spotted (Stenella attenuata) dolphins

Acoustic recordings of two closely related species, spinner dolphin (Stenella longirostris) and pantropical spotted dolphin (Stenella attenuata), were investigated from four different geographic locations: two in the Central Tropical Pacific, one in the Eastern Tropical Pacific and one in the Indian Ocean. The two delphinid species occur in tropical and warm temperate waters, with overlapping ranges. They produce very similar vocalizations, but at the same time their calls exhibit a certain degree of intraspecific variation among different geographic locations as has been observed in other delphinid species. Oscillatory whistles (whistles with at least two oscillations in their frequency contours) were identified and manually extracted from the recordings. Whistles with four or more maxima (oscillations) occurred only in spinner dolphins and they were present in all geographic regions investigated. In addition, the oscillatory whistles with two and three maxima were significantly more frequent in spinner than in spotted dolphins. The differences in oscillatory whistles for these two species seem to be consistent across study areas and therefore, could be used in addition to other whistle features to help distinguish between them.     

Parametric analysis of the biomechanical response of head subjected to the primary blast loading – a data mining approach

Traumatic brain injury due to primary blast loading has become a signature injury in recent military conflicts and terrorist activities. Extensive experimental and computational investigations have been conducted to study the interrelationships between intracranial pressure response and intrinsic or ‘input’ parameters such as the head geometry and loading conditions. However, these relationships are very complicated and are usually implicit and ‘hidden’ in a large amount of simulation/test data. In this study, a data mining method is proposed to explore such underlying information from the numerical simulation results. The heads of different species are described as a highly simplified two-part (skull and brain) finite element model with varying geometric parameters. The parameters considered include peak incident pressure, skull thickness, brain radius and snout length. Their interrelationship and coupling effect are discovered by developing a decision tree based on the large simulation data-set. The results show that the proposed data-driven method is superior to the conventional linear regression method and is comparable to the nonlinear regression method. Considering its capability of exploring implicit information and the relatively simple relationships between response and input variables, the data mining method is considered to be a good tool for an in-depth understanding of the mechanisms of blast-induced brain injury. As a general method, this approach can also be applied to other nonlinear complex biomechanical systems.     

Rats Generate Vibrissal Sensory Evidence until Boundary Crossing Triggers a Decision

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A modest proposal for restoration ecology

Restoration ecology struggles to mitigate human‐caused ecological damage. Non‐native species are a particular challenge. This article describes two restoration attempts following introduced species in California and then makes a radical culling proposal. Environmental regulations, legal protections, and restoration projects are necessary to preserve ecosystem services, but such policies are often unpopular. Restorers often struggle when public opinion opposes evidence‐based practice, and this occurs particularly when the interventions involve killing mammals. Therefore, restoration efforts may benefit from more attention to how individuals perceive the acceptability of environmental policies and how to communicate policy options effectively for individuals to make informed decisions. Restoration ecology can follow the recent shift of medicine away from imperatives and toward informed patient choice. Restoration projects may benefit from recent advances in psychology and communication that help individuals make policy decisions that align with their personal values.     

Resolving Cell Fate Decisions during Somatic Cell Reprogramming by Single-Cell RNA-Seq

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Plant competition as a mechanism of invasion on islands: Revisiting the conclusions of Kuebbing and Nuñez (2016)

Identifying the mechanisms underlying invasive plant establishment and native plant decline remains a central goal in ecology, particularly for biodiversity hotspots such as islands. We re‐analyzed a previously published meta‐dataset to test the prediction that neighbor effects are stronger on islands vs. continents because island plants are weaker competitors. Although we detected marginally stronger neighbor effects on islands than continents, this was due, at least in part, to stronger competition among native species. An absence of studies testing neighbor effects between native vs. invasive plants on islands prevents a rigorous test for competition effects on islands, highlighting an important knowledge gap.     

pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC

Knowledge of protein subcellular localization is vitally important for both basic research and drug development. With the avalanche of protein sequences emerging in the post-genomic age, it is highly desired to develop computational tools for timely and effectively identifying their subcellular localization purely based on the sequence information alone. Recently, a predictor called “pLoc-mGpos” was developed for identifying the subcellular localization of Gram-positive bacterial proteins. Its performance is overwhelmingly better than that of the other predictors for the same purpose, particularly in dealing with multi-label systems in which some proteins, called “multiplex proteins”, may simultaneously occur in two or more subcellular locations. Although it is indeed a very powerful predictor, more efforts are definitely needed to further improve it. This is because pLoc-mGpos was trained by an extremely skewed dataset in which some subset (subcellular location) was over 11 times the size of the other subsets. Accordingly, it cannot avoid the bias consequence caused by such an uneven training dataset. To alleviate such bias consequence, we have developed a new and bias-reducing predictor called pLoc_bal-mGpos by quasi-balancing the training dataset. Rigorous target jackknife tests on exactly the same experiment-confirmed dataset have indicated that the proposed new predictor is remarkably superior to pLoc-mGpos, the existing state-of-the-art predictor in identifying the subcellular localization of Gram-positive bacterial proteins. To maximize the convenience for most experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_bal-mGpos/, by which users can easily get their desired results without the need to go through the detailed mathematics.     

A Longitudinal Study of Decision Making in the Process of Acquiring a Dog

To prevent potential problems in the relationship between people and their dogs, it is important to engage in a thoughtful decision-making process with regard to acquiring a dog. To map the most important elements in the decision-making process, a social cognitive model was applied using seven psychological constructs: perceived advantages of having a dog; perceived disadvantages; the social norm; self-efficacy; optimism; expected commitment; and the intention to acquire a dog. People who were planning to acquire a dog within one year were asked to fill in an online questionnaire and another one 14 months later. The social cognitive constructs were operationalized in the baseline questionnaire, and in the follow-up participants were asked to report whether they had actually acquired a dog during the 14-month interval. The sample (n?=?588) largely consisted of females (88%) and those who had a high level of education (64%). The mean age of the participants was 40.9 years. The data showed significant relations among the decision-making variables, and significant differences between demographic variables related to these. In univariate longitudinal analyses, several social cognitive variables significantly predicted acquiring a dog in the 14-month period. When intention to acquire a dog was entered into the multivariate model, it remained the only predictor (OR = 2.16, p?<?0.001); the model explained 33% of the variance in acquiring a dog. It was possible to assess the main constructs that play a role in decision making regarding acquiring a dog: Most baseline measures were related to actual later behavior, also when taking into account all changes in other internal and external factors that may have taken place. Insight into the decision-making process makes it possible to intervene in it for the good of people, dogs, and their relationships.