Human Nonindependent Mate Choice: Is Model Female Attractiveness Everything?

Following two decades of research on non-human animals, there has recently been increased interest in human nonindependent mate choice, namely the ways in which choosing women incorporate information about a man's past or present romantic partners ('model females') into their own assessment of the male. Experimental studies using static facial images have generally found that men receive higher desirability ratings from female raters when presented with attractive (compared to unattractive) model females. This phenomenon has a straightforward evolutionary explanation: the fact that female mate value is more dependent on physical attractiveness compared to male mate value. Furthermore, due to assortative mating for attractiveness, men who are paired with attractive women are more likely to be of high mate value themselves. Here, we also examine the possible relevance of model female cues other than attractiveness (personality and behavioral traits) by presenting video recordings of model females to a set of female raters. The results confirm that the model female's attractiveness is the primary cue. Contrary to some earlier findings in the human and nonhuman literature, we found no evidence that female raters prefer partners of slightly older model females. We conclude by suggesting some promising variations on the present experimental design

Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports

With the advent of online and app-based studies, researchers in psychology are making increasing use of repeated subjective reports. The new methods open up opportunities to study behavior in the field and to map causal processes, but they also pose new challenges. Recent work has added initial elevation bias to the list of common pitfalls; here, higher negative states (i.e., thoughts and feelings) are reported on the first day of assessment than on later days. This article showcases a new approach to addressing this and other measurement reactivity biases. Specifically, we employed a planned missingness design in a daily diary study of more than 1,300 individuals who were assessed over a period of up to 70 days to estimate and adjust for measurement reactivity biases. We found that day of first item presentation, item order, and item number were associated with only negligible bias: Items were not answered differently depending on when and where they were shown. Initial elevation bias may thus be more limited than has previously been reported or it may act only at the level of the survey, not at the item level. We encourage researchers to make design choices that will allow them to routinely assess measurement reactivity biases in their studies. Specifically, we advocate the routine randomization of item display and order, as well as of the timing and frequency of measurement. Randomized planned missingness makes it possible to empirically gauge how fatigue, familiarity, and learning interact to bias responses

Neuroprotective effects of a specific multi-nutrient intervention against Aβ42-induced toxicity in rats

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly. Substantial evidence suggests a role for nutrition in the management of AD and especially suggests that interventions with combinations of nutrients are more effective than single-nutrient interventions. The specific multi-nutrient combination Fortasyn™Connect (FC), shown to improve memory in AD, provides phosphatide precursors and cofactors and is designed to stimulate the formation of phospholipids, neuronal membranes, and synapses. The composition comprises nucleotides, omega-3 polyunsaturated fatty acids (n3 PUFA), choline, B-vitamins, phospholipids, and antioxidants. The current study explored the protective properties of FC in a membrane toxicity model of AD, the amyloid-β 1-42 (Aβ42) infused rat, which shows reduced exploratory behavior in an Open Field and impaired cholinergic functioning. To this end, rats were fed an FC enriched diet or a control diet and five weeks later infused with vehicle or Aβ42 into the lateral ventricle. Ten weeks post-infusion Aβ42-rats fed the FC diet showed increased membrane n3 PUFA and phosphatidylcholine content while they did not show the reductions in exploratory behavior or in choline acetyltransferase (ChAT) and vesicular acetylcholine transporter (VAChT) immunoreactivity that were seen in Aβ42-rats fed the control diet. We conclude that FC protects the cholinergic system against Aβ42-induced toxicity and speculate that the effects of FC on membrane formation and composition might be supportive for this protective effect. Based on these data a long-term intervention study was started in the prodromal stages of AD (NTR1705, LipiDiDiet, EU FP7)

Can NO2+ exist in bent or cyclic forms?

Calculations of NO2+ at HF, CBS-4, CASSCF, MBPT(2), MBPT(3), and MBPT(4) theory levels, using 3-21G and 6-31G(d) basis sets, found two C-2V structures along with the linear geometry. Computations using MBPT(2) and CCSD(T) approaches and the aug-cc-pvtz basis set confirmed these results. Harmonic vibrational frequency calculations, performed with MBPT(2) and CCSD(T) theories, indicated that the linear structure was the global minimum while one of the bent structures (angle ONO = 80 degrees) was a higher energy local minimum. The second C-2V structure (angle ONO = 45 degrees) exhibited a large imaginary vibrational frequency along the asymmetric stretching (B-2) mode, indicating its saddle point nature. (C) 2001 Elsevier Science B.V. All rights reserved

Resident alveolar macrophageâ derived vesicular SOCS3 dampens allergic airway inflammation

Resident alveolar macrophages (AMs) suppress allergic inflammation in murine asthma models. Previously we reported that resident AMs can blunt inflammatory signaling in alveolar epithelial cells (ECs) by transcellular delivery of suppressor of cytokine signaling 3 (SOCS3) within extracellular vesicles (EVs). Here we examined the role of vesicular SOCS3 secretion as a mechanism by which AMs restrain allergic inflammatory responses in airway ECs. Bronchoalveolar lavage fluid (BALF) levels of SOCS3 were reduced in asthmatics and in allergenâ challenged mice. Ex vivo SOCS3 secretion was reduced in AMs from challenged mice and this defect was mimicked by exposing normal AMs to cytokines associated with allergic inflammation. Both AMâ derived EVs and synthetic SOCS3 liposomes inhibited the activation of STAT3 and STAT6 as well as cytokine gene expression in ECs challenged with ILâ 4/ILâ 13 and house dust mite (HDM) extract. This suppressive effect of EVs was lost when they were obtained from AMs exposed to allergic inflammationâ associated cytokines. Finally, inflammatory cell recruitment and cytokine generation in the lungs of OVAâ challenged mice were attenuated by intrapulmonary pretreatment with SOCS3 liposomes. Overall, AM secretion of SOCS3 within EVs serves as a brake on airway EC responses during allergic inflammation, but is impaired in asthma. Synthetic liposomes encapsulating SOCS3 can rescue this defect and may serve as a framework for novel therapeutic approaches targeting airway inflammation.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/1/fsb220322-sup-0001-FigS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/2/fsb220322.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/3/fsb220322_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/4/fsb220322-sup-0005-TableS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/5/fsb220322-sup-0003-FigS3.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/6/fsb220322-sup-0004-FigS4.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154378/7/fsb220322-sup-0002-FigS2.pd

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology

We predicted residual fluid intelligence scores from T1-weighted MRI data available as part of the ABCD NP Challenge 2019, using morphological similarity of grey-matter regions across the cortex. Individual structural covariance networks (SCN) were abstracted into graph-theory metrics averaged over nodes across the brain and in data-driven communities/modules. Metrics included degree, path length, clustering coefficient, centrality, rich club coefficient, and small-worldness. These features derived from the training set were used to build various regression models for predicting residual fluid intelligence scores, with performance evaluated both using cross-validation within the training set and using the held-out validation set. Our predictions on the test set were generated with a support vector regression model trained on the training set. We found minimal improvement over predicting a zero residual fluid intelligence score across the sample population, implying that structural covariance networks calculated from T1-weighted MR imaging data provide little information about residual fluid intelligence.Comment: 8 pages plus references, 3 figures, 2 tables. Submission to the ABCD Neurocognitive Prediction Challenge at MICCAI 201