Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal stomatal behavior with competition for water and risk of hydraulic impairment

Significance Plants lose water and take up carbon through stomata, whose behavior has major influences on global carbon and water fluxes. Yet both competition for water and the potential fitness costs of hydraulic damage during water stress could alter how stomata behave. Here, we add variable xylem conductivity to water and carbon costs of low-xylem water potentials to the classic stomatal optimization and a pure carbon-maximization optimization. We show that both optimizations can reproduce known stomatal responses to environmental conditions but that the pure carbon-maximization optimization is also consistent with competition for water. We describe a new measure—the marginal xylem tension efficiency—that can be used to test stomatal optimizations. For over 40 y the dominant theory of stomatal behavior has been that plants should open stomates until the carbon gained by an infinitesimal additional opening balances the additional water lost times a water price that is constant at least over short periods. This theory has persisted because of its remarkable success in explaining strongly supported simple empirical models of stomatal conductance, even though we have also known for over 40 y that the theory is not consistent with competition among plants for water. We develop an alternative theory in which plants maximize carbon gain without pricing water loss and also add two features to both this and the classical theory, which are strongly supported by empirical evidence: (i) water flow through xylem that is progressively impaired as xylem water potential drops and (ii) fitness or carbon costs associated with low water potentials caused by a variety of mechanisms, including xylem damage repair. We show that our alternative carbon-maximization optimization is consistent with plant competition because it yields an evolutionary stable strategy (ESS)—species with the ESS stomatal behavior that will outcompete all others. We further show that, like the classical theory, the alternative theory also explains the functional forms of empirical stomatal models. We derive ways to test between the alternative optimization criteria by introducing a metric—the marginal xylem tension efficiency, which quantifies the amount of photosynthesis a plant will forego from opening stomatal an infinitesimal amount more to avoid a drop in water potential.
Deployment Communication: Underlying Processes and Outcomes

This concurrent embedded mixed methods study explored important aspects of communication occurring between military service members and their intimate partners during a combat deployment to Iraq or Afghanistan. Fifty-eight participants (32 military veterans and 26 non-veteran partners) participated in an interview using standardized self-report measures assessing the current level of relationship satisfaction, trauma symptoms of the veteran, and the veterans’ trauma exposure. Participants also participated in a semistructured interview focused on combat deployment and reintegration experiences. The findings suggested that communication between service members and their intimate partners during deployment is important to maintaining an emotional connection, preventing distancing to ease the transition back, obtaining assurance regarding the safety of the deployed partner, and meeting current needs to be emotionally engaged with their partner. Access to the methods of deployment communication, however, was reported to be highly variable within and across deployments. Planned withholding of unpleasant or distressing information from one’s partner appeared to be common and may represent a choice by participants to improve their well-being and outcomes. Recommendations for clinical interventions include preventive programs to help couples discuss their expectations for communication during the deployment. Future research might focus on the development of measures of preferences in deployment communication, as well as the degree of impact of communication on service member duty performance, individual psychological outcomes, and couple-based outcomes.
Characterisation and Validation of Insertions and Deletions in 173 Patient Exomes

Recent advances in genomics technologies have spurred unprecedented efforts in genome and exome re-sequencing aiming to unravel the genetic component of rare and complex disorders. While in rare disorders this allowed the identification of novel causal genes, the missing heritability paradox in complex diseases remains so far elusive. Despite rapid advances of next-generation sequencing, both the technology and the analysis of the data it produces are in its infancy. At present there is abundant knowledge pertaining to the role of rare single nucleotide variants (SNVs) in rare disorders and of common SNVs in common disorders. Although the 1,000 genome project has clearly highlighted the prevalence of rare variants and more complex variants (e.g. insertions, deletions), their role in disease is as yet far from elucidated. We set out to analyse the properties of sequence variants identified in a comprehensive collection of exome re-sequencing studies performed on samples from patients affected by a broad range of complex and rare diseases (N = 173). Given the known potential for Loss of Function (LoF) variants to be false positive, we performed an extensive validation of the common, rare and private LoF variants identified, which indicated that most of the private and rare variants identified were indeed true, while common novel variants had a significantly higher false positive rate. Our results indicated a strong enrichment of very low-frequency insertion/deletion variants, so far under-investigated, which might be difficult to capture with low coverage and imputation approaches and for which most of study designs would be under-powered. These insertions and deletions might play a significant role in disease genetics, contributing specifically to the underlining rare and private variation predicted to be discovered through next generation sequencing.
Co-evolution of Preferences and Information in Simple Games of Trust

Abstract In standard rational choice modelling decisions are made according to given information and preferences. In the model presented here the ‘information technology’ of individual decision-makers as well as their preferences evolve in a dynamic process. In this process decisions are made rationally by players who differ in their informational as well as in their preference type. Relative success of alternative decisions feeds back on the type composition of the population which in turn influences rational decision-making. An indirect evolutionary analysis of an elementary yet important basic game of trust shows that under certain parameter constellations the population dynamics of the evolutionary process specify a unique completely mixed rest point. However, as opposed to previous studies of preference formation in the game of trust there is no convergence to but only circumventing the rest point if the informational status of individuals evolves rather than being chosen strategically.
Large Margin Deep Networks for Classification

We present a formulation of deep learning that aims at producing a large margin classifier. The notion of margin, minimum distance to a decision boundary, has served as the foundation of several theoretically profound and empirically successful results for both classification and regression tasks. However, most large margin algorithms are applicable only to shallow models with a preset feature representation; and conventional margin methods for neural networks only enforce margin at the output layer. Such methods are therefore not well suited for deep networks. In this work, we propose a novel loss function to impose a margin on any chosen set of layers of a deep network (including input and hidden layers). Our formulation allows choosing any norm on the metric measuring the margin. We demonstrate that the decision boundary obtained by our loss has nice properties compared to standard classification loss functions. Specifically, we show improved empirical results on the MNIST, CIFAR-10 and ImageNet datasets on multiple tasks: generalization from small training sets, corrupted labels, and robustness against adversarial perturbations. The resulting loss is general and complementary to existing data augmentation (such as random/adversarial input transform) and regularization techniques (such as weight decay, dropout, and batch norm).
Effects of Peer and Group Education on Knowledge, Beliefs and Breast Self-Examination Practice among University Students in Turkey

Aims: To determine the effects of peer and group education on knowledge and beliefs about breast cancer and performance of breast self–examination (BSE). Materials and Methods: The study included a total of 193 female university students, of whom 59 were assigned to peer education and 134 to group education. Data collected at baseline and after six months included sociodemographic characteristics, knowledge of breast cancer and BSE and performance of BSE forms, and Champion´s Health Belief Model Scale. Data were analyzed using the chi-square, McNemar chi-square, independent Student´s t, and paired Student´s t tests. Results: Mean knowledge scores increased from 42.08 ± 13.89 to 65.26 ± 13.08 after peer education (P < 0.001) and from 41.44 ± 12.79 to 63.74 ± 11.74 after group education (P < 0.001). The rate of regular BSE increased from 25.9% to 55.7% six months after peer education (P < 0.001) and from 45.5% to 62.2% after group education (P < 0.001). Perceived benefits and confidence related to BSE increased and perceived barriers decreased significantly after both interventions. Conclusions: Knowledge about breast cancer and BSE practice increased and perceived health beliefs improved equally after both interventions. Depending on the resources available, nurses and other health professionals may choose either peer or group education to increase breast awareness among young women.
Community analysis of microbial sharing and specialization in a Costa Rican ant–plant–hemipteran symbiosis

Ants have long been renowned for their intimate mutualisms with trophobionts and plants and more recently appreciated for their widespread and diverse interactions with microbes. An open question in symbiosis research is the extent to which environmental influence, including the exchange of microbes between interacting macroorganisms, affects the composition and function of symbiotic microbial communities. Here we approached this question by investigating symbiosis within symbiosis. Ant–plant–hemipteran symbioses are hallmarks of tropical ecosystems that produce persistent close contact among the macroorganism partners, which then have substantial opportunity to exchange symbiotic microbes. We used metabarcoding and quantitative PCR to examine community structure of both bacteria and fungi in a Neotropical ant–plant–scale-insect symbiosis. Both phloem-feeding scale insects and honeydew-feeding ants make use of microbial symbionts to subsist on phloem-derived diets of suboptimal nutritional quality. Among the insects examined here, Cephalotes ants and pseudococcid scale insects had the most specialized bacterial symbionts, whereas Azteca ants appeared to consume or associate with more fungi than bacteria, and coccid scale insects were associated with unusually diverse bacterial communities. Despite these differences, we also identified apparent sharing of microbes among the macro-partners. How microbial exchanges affect the consumer-resource interactions that shape the evolution of ant–plant–hemipteran symbioses is an exciting question that awaits further research.
Effects of L-dopa during Auditory Instrumental Learning in Humans

The dopaminergic neurotransmitter system is critically involved in promoting plasticity in auditory cortex. We combined functional magnetic resonance imaging (fMRI) and a pharmacological manipulation to investigate dopaminergic modulation of neural activity in auditory cortex during instrumental learning. Volunteers either received 100 mg L-dopa (Madopar) or placebo in an appetitive, differential instrumental conditioning paradigm, which involved learning that a specific category of frequency modulated tones predicts a monetary reward when fast responses were made in a subsequent reaction time task. The other category of frequency modulated tones was not related to a reward. Our behavioral data provides evidence that dopaminergic stimulation differentially impacts on the speed of instrumental responding in rewarded and unrewarded trials. L-dopa increased neural BOLD activity in left auditory cortex to tones in rewarded and unrewarded trials. This increase was related to plasma L-dopa levels and learning rate. Our data thus provides evidence for dopaminergic modulation of neural activity in auditory cortex, which occurs for both auditory stimuli related to a later reward and those not related to a reward.
Effects of Life Review Intervention on Life Satisfaction and Personal Meaning Among Older Adults With Frailty.

The current study aimed to examine the effects of life review intervention on life satisfaction and personal meaning among frail older adults. Seventy-four participants were randomly assigned to either the intervention or control group. The intervention group received the Haight Structured Life Review with modified guiding questions and memory prompts. The control group received usual nursing home care. The Life Satisfaction Index A and Purpose in Life Test questionnaires were administered at baseline and immediately after the intervention. Participants in the life review group demonstrated significant improvement in life satisfaction compared to the control group, but no significant differences in personal meaning. The study suggests that life review is a promising psychospiritual intervention for older adults, which could be delivered as a separate program or integrated into usual care in nursing homes. [Journal of Psychosocial Nursing and Mental Health Services, 56(7),30-36. ].
Multiple Short Bouts of Walking Activity Attenuate Glucose Response in Obese Women.

BACKGROUND We sought to determine the effect of multiple walking breaks from sedentary behavior (SED) on glucose responses in sedentary obese women. MATERIALS AND METHODS Ten women [aged = 36 (5) y, body mass index = 38.0 (1.6) kg/m2, body fat = 49.6 (1.4)%] completed 3 conditions (48-h "washout" in-between conditions) following a standardized meal in random order: 4-hour SED, 4-hour SED with 2 minutes of moderate-intensity walking every 30 minutes (SED + 2 min), and 4-hour SED with 5 minutes of moderate-intensity walking every 30 minutes (SED + 5 min). Measurements included continuous interstitial glucose concentration monitoring immediately before and during standardized conditions and accelerometry for physical activity patterns during and in-between the standardized conditions. Repeated-measures 1-way analyses of variance (α = .05) with Bonferroni correction for post hoc comparisons were performed. Effect sizes (d [95% confidence interval]) were calculated as mean difference from SED/pooled standard deviation. RESULTS Sedentary time was similar in the 48 hours preceding each condition (P > .05). By design, sedentary time was different between conditions (P < .001). Compared with SED, 2-hour postprandial glucose positive incremental area under the curve was lower for SED + 5 minutes (P = .005; d = - 0.57 [-1.48, 0.40]), but not for SED + 2 minutes (P = .086; d = - 0.71 [-1.63, 0.27]). Four-hour postprandial glucose area under the curve was similar between conditions (P > .05). CONCLUSION In sedentary obese women, 5 minutes of moderate-intensity walking breaks from SED each 30 minutes attenuate 2-hour postprandial glucose excursions.
Structural Brain Correlations of Visuospatial and Visuoperceptual Tests in Parkinson’s Disease

Abstract Background: Diagnosis of mild cognitive impairment in Parkinson’s disease (PD) is relevant because it is a marker for evolution to dementia. However, the selection of suitable tests to evaluate separate cognitive domains in mild cognitive impairment related to PD remains an open question. The current work aims to investigate the neuroanatomical correlates of several visuospatial/visuoperceptual tests using the same sample and a multimodal MRI approach. Methods: The study included 36 PD patients and 20 healthy subjects matched for age, sex, and education. The visuospatial/visuoperceptual tests selected were: Pentagon Copying Test (PCT), Judgment of Line Orientation Test (JLOT), Visual Form Discrimination Test (VFDT), Facial Recognition Test (FRT), Symbol Digit Modalities Test (SMDT), and clock copying task (CLOX2). FreeSurfer was used to assess cortical thickness, and tract-based spatial statistics was used for fractional anisotropy analysis. Results: Lower performance in the PCT, JLOT, and SDMT was associated with extensive cortical thickness reductions in lateral parietal and temporal regions. VFDT and CLOX2 did not show this common pattern and correlated with more limited medial occipito-temporal and occipito-parietal regions. Performance in all visuospatial/visuoperceptual tests correlated with fractional anisotropy in the corpus callosum. Conclusions: Our findings show that JLOT, SDMT, and PCT, in addition to differentiating patients from controls, are suitable visuospatial/visuoperceptual tests to reflect cortical thinning in lateral temporo-parietal regions in PD patients. We did not observe the dissociation between dorsal and ventral streams that was expected according to the neuropsychological classification of visuospatial and visuoperceptual tests. (JINS, 2018, 24, 33–44)
Learning-by-synthesis for accurate eye detection

Cascade regression framework has been successfully applied to facial landmark detection and achieves state-of-the-art performance recently. It requires large number of facial images with labeled landmarks for training regression models. We propose to use cascade regression framework to detect eye center by capturing its contextual and shape information of other related eye landmarks. While for eye detection, it is time-consuming to collect large scale training data and it also can be unreliable for accurate manual annotation of eye related landmarks. In addition, it is difficult to collect enough training data to cover various illuminations, subjects with different head poses and gaze directions. To tackle this problem, we propose to learn cascade regression models from synthetic photorealistic data. In our proposed approach, eye region is coarsely localized by a facial landmark detection method first. Then we learn the cascade regression models iteratively to predict the eye shape updates based on local appearance and shape features. Experimental results on benchmark databases such as BioID and GI4E show that our proposed cascade regression models learned from synthetic data can accurately localize the eye center. Comparisons with existing methods also demonstrates our proposed framework can achieve preferable performance against state-of-the-art methods.
A Game Theoretic Approach to Setting the Pilot Power Ratio in Multi-User MIMO Systems

We consider the uplink of a single cell multi-user multiple input multiple output (MU-MIMO) system, in which the base station acquires channel state information at the receiver by means of uplink pilot signals. Since each mobile station has a sum power budget that is used to transmit pilot and data symbols, the pilot power ratio (PPR) has a large impact on the system performance in terms of spectral and energy efficiency. We formulate the problem of PPR setting as a non-cooperative game, in which each mobile station aims at minimizing the mean squared error of the uplink received data symbols at the base station. We show that in this game a unique Nash equilibrium exists, and propose an iterative decentralized algorithm—termed best PPR algorithm (BPA)—that is guaranteed to converge to that Nash equilibrium. Since BPA dynamically responds to the measured interference, it outperforms widely used schemes that use a predetermined PPR. BPA also performs close to the global optimum, especially when mobile stations with similar path loss values are co-scheduled in the MU-MIMO system. Based on these insights, we propose a practical signaling mechanism for implementing BPA in MU-MIMO systems.
Thromboelastometry profile in critically ill patients: A single-center, retrospective, observational study

Background Transfusion therapy is associated with increased morbidity, mortality and costs. Conventional coagulation tests (CCT) are weak bleeding predictors, poorly reflecting coagulation in vivo. Thromboelastometry (ROTEM) provides early identification of coagulation disorders and can guide transfusion therapy by goals, reducing blood components transfusion. Objective The aim of this study is to describe coagulation profile of critically ill patients using ROTEM and evaluate the association between CCT and thromboelastometry. Methods This is a retrospective, observational study conducted in medical-surgical intensive care unit (ICU). Adult patients (≥18 years) admitted to ICU between November 2012 and December 2014, in whom ROTEM analyses were performed for bleeding management were included in this study. The first ROTEM and CCT after ICU admission were recorded simultaneously. Additionally, we collected data on blood components transfusion and hemostatic agents immediately after laboratory tests results. Results The study included 531 patients. Most ROTEM tests showed normal coagulation profile [INTEM (54.8%), EXTEM (54.1%) and FIBTEM (53.3%)] with divergent results in relation to CCT: low platelet count (51.8% in INTEM and 55.9% in EXTEM); prolonged aPTT (69.9% in INTEM and 63.7% in EXTEM) and higher INR (23.8% in INTEM and 27.4% in EXTEM). However 16,7% of patients with normocoagulability in ROTEM received platelet concentrates and 10% fresh frozen plasma. Conclusion The predominant ROTEM profile observed in this sample of critically ill patients was normal. In contrast, CCT suggested coagulopathy leading to a possibly unnecessary allogenic blood component transfusion. ROTEM test may avoid inappropriate allogeneic blood products transfusion in these patients.
Influence of stacking sequence on mechanical properties of basalt-jute fiber-reinforced polymer hybrid composites

Abstract Different stacking sequences of woven basalt and jute fiber hybrid composites were prepared using compression molding techniques. The static mechanical properties such as tensile, flexural, and impact behaviors were studied. A constant pressure was applied to all the fabricated composites, and fibers were arranged in different layering patterns. It was found that from the different layering patterns, the tensile and flexural properties slightly increased for hybrid composites having alternate layers of basalt and jute fiber. To study the fracture surface morphology of the hybrid composites, scanning electron microscopy was also performed.