Miracle-dz/UniFAR-FTUs huggingface dataset:
Frame-based face emotion recognition using linear discriminant analysis

In this paper, a frame-based method with reference frame was proposed to recognize six basic facial emotions (anger, disgust, fear, happy, sadness and surprise) and also neutral face. By using face landmarks, a fast algorithm was used to calculate an appropriate descriptor for each frame. Furthermore, Linear Discriminant Analysis (LDA) was used to reduce the dimension of defined descriptors and to classify them. The LDA problem was solved using the least squares solution and Ledoit-Wolf lemma. The proposed method was also compared with some studies on CK+ dataset which has the best accuracy among them. To generalize the proposed method over CK+ dataset, a landmark detector was needed. Therefore, dlib library was used for this purpose. Note that all the codes are available online at: http://ee.sharif. edu/∼hatef.otroshi/Emotion_ Recognition_LDA_2017. html.
Intradialytic hypotension, blood pressure changes and mortality risk in incident hemodialysis patients

Background Intradialytic hypotension (IDH) occurs frequently in maintenance hemodialysis (HD) patients and may be associated with higher mortality. We hypothesize that nadir intradialytic systolic blood pressure (niSBP) is inversely related to death risk while iSBP change (Δ) and IDH frequency are incrementally associated with all-cause mortality. Methods In a US-based cohort of 112 013 incident HD patients over a 5-year period (2007-11), using niSBP, ΔiSBP (pre-HD SBP minus niSBP) and IDH frequency (proportion of HD treatments with niSBP <90 mmHg) within the first 91 days of HD, we examined mortality-predictability at 1, 2 and 5 years using Cox models and restricted cubic splines adjusted for case-mix, comorbidities and laboratory covariates. Results We observed that niSBP of <90 and ≥140 mmHg had a 5-year mortality hazard ratio (HR) (95% confidence interval) of 1.57 (1.47-1.67) and 1.25 (1.18-1.33), respectively, compared with niSBP 110 to <120 mmHg. ΔiSBP of <15 and ≥50 compared with 21-30 mmHg had mortality HR of 1.31 (1.26-1.37) and 1.32 (1.24-1.39), respectively. Among patients with >40% IDH frequency, we observed a mortality HR of 1.49 (1.42-1.57) compared with 0% IDH frequency in fully adjusted models. These associations were robust at 1 and 2 years of follow-up. Conclusion In conclusion, we observed a U-shaped association between niSBP and ΔiSBP and mortality and a direct linear relationship between IDH frequency and mortality. Our findings lend some prognostic insight of HD blood pressure and hemodynamics, and have the potential to guide blood pressure management strategies among the HD population.
Long Distance Dispersal of Zooplankton Endemic to Isolated Mountaintops - an Example of an Ecological Process Operating on an Evolutionary Time Scale

Recent findings suggest a convergence of time scales between ecological and evolutionary processes which is usually explained in terms of rapid micro evolution resulting in evolution on ecological time scales. A similar convergence, however, can also emerge when slow ecological processes take place on evolutionary time scales. A good example of such a slow ecological process is the colonization of remote aquatic habitats by passively dispersed zooplankton. Using variation at the protein coding mitochondrial COI gene, we investigated the balance between mutation and migration as drivers of genetic diversity in two Branchipodopsis fairy shrimp species (Crustacea, Anostraca) endemic to remote temporary rock pool clusters at the summit of isolated mountaintops in central South Africa. We showed that both species colonized the region almost simultaneously c. 0.8 My ago, but exhibit contrasting patterns of regional genetic diversity and demographic history. The haplotype network of the common B. cf. wolfi showed clear evidence of 11 long distance dispersal events (up to 140 km) with five haplotypes that are shared among distant inselbergs, as well as some more spatially isolated derivates. Similar patterns were not observed for B. drakensbergensis presumably since this rarer species experienced a genetic bottleneck. We conclude that the observed genetic patterns reflect rare historic colonization events rather than frequent ongoing gene flow. Moreover, the high regional haplotype diversity combined with a high degree of haplotype endemicity indicates that evolutionary- (mutation) and ecological (migration) processes in this system operate on similar time scales.
Of Men and Mice: Modeling the Fragile X Syndrome

The Fragile X Syndrome (FXS) is one of the most common forms of inherited intellectual disability in all human societies. Caused by the transcriptional silencing of a single gene, the fragile x mental retardation gene FMR1, FXS is characterized by a variety of symptoms, which range from mental disabilities to autism and epilepsy. More than 20 years ago, a first animal model was described, the Fmr1 knock-out mouse. Several other models have been developed since then, including conditional knock-out mice, knock-out rats, a zebrafish and a drosophila model. Using these model systems, various targets for potential pharmaceutical treatments have been identified and many treatments have been shown to be efficient in preclinical studies. However, all attempts to turn these findings into a therapy for patients have failed thus far. In this review, I will discuss underlying difficulties and address potential alternatives for our future research.
The adaptive calibration model of stress responsivity: An empirical test in the Tracking Adolescents' Individual Lives Survey study

Abstract The adaptive calibration model (ACM) is a theory of developmental programing focusing on calibration of stress response systems and associated life history strategies to local environmental conditions. In this article, we tested some key predictions of the ACM in a longitudinal study of Dutch adolescent males (11–16 years old; N = 351). Measures of sympathetic, parasympathetic, and adrenocortical activation, reactivity to, and recovery from social–evaluative stress validated the four-pattern taxonomy of the ACM via latent profile analysis, though with some deviations from expected patterns. The physiological profiles generally showed predicted associations with antecedent measures of familial and ecological conditions and life stress; as expected, high- and low-responsivity patterns were found under both low-stress and high-stress family conditions. The four patterns were also differentially associated with aggressive/rule-breaking behavior and withdrawn/depressed behavior. This study provides measured support for key predictions of the ACM and highlights important empirical issues and methodological challenges for future research.
Dietary treatment of hypertension; clinical and metabolic studies of patients on the rice-fruit diet.

This report is based on a study of six patients who were treated for hypertension by means of the rice-fruit diet of Kempner (1). During the six months of study with the patients in continuous residence on a metabolic ward observations were made to follow the evolution of both clinical and metabolic changes. The purpose of this study was the analysis of certain aspects of the necessity and the sufficiency of the rice-fruit program as applied to selected patients in a controlled environment. To this end evidence will be presented to demonstrate that objective clinical improvement actually occurred in these patients while they were under detailed metabolic observation. Whether the high incidence of clinical improvement observed was due to the selection of relatively young and uncomplicated hypertensive subjects or due to the detailed supervision of dietary intake or even whether the sheltered environment of a metabolic ward may have contributed to the favorable effects was not investigated. These considerations, although pertinent to the general problem of dietary treatment (2), are not directly relevant to the present issue of association between clinical and metabolic change.
Optimal link prediction with matrix logistic regression

We consider the problem of link prediction, based on partial observation of a large network, and on side information associated to its vertices. The generative model is formulated as a matrix logistic regression. The performance of the model is analysed in a high-dimensional regime under a structural assumption. The minimax rate for the Frobenius-norm risk is established and a combinatorial estimator based on the penalised maximum likelihood approach is shown to achieve it. Furthermore, it is shown that this rate cannot be attained by any (randomised) algorithm computable in polynomial time under a computational complexity assumption.
Selfie Indulgence

People often perceive themselves as more attractive and likable than others do. Here, we examined how these self-favoring biases manifest in a highly popular novel context that is particularly self-focused—selfies. Specifically, we analyzed selfie-takers’ and non-selfie-takers’ perceptions of their selfies versus photos taken by others and compared these to the judgments of external perceivers. Although selfie-takers and non-selfie-takers reported equal levels of narcissism, we found that the selfie-takers perceived themselves as more attractive and likable in their selfies than in others’ photos, but that non-selfie-takers viewed both photos similarly. Furthermore, external judges rated the targets as less attractive, less likable, and more narcissistic in their selfies than in the photos taken by others. Thus, self-enhancing misperceptions may support selfie-takers’ positive evaluations of their selfies, revealing notable biases in self-perception.
Sitting Time and Obesity or Abdominal Obesity in Older South Koreans: Korean National Health and Nutrition Examination Survey 2013

ABSTRACT We examined relationships between sitting time and obesity or abdominal obesity according to sex and socioeconomic status in elderly people. We analyzed data from the Korean National Health and Nutrition Examination Survey 2013, and 1565 participants were included in the study. Multivariate logistic regression analysis was used to examine relationships between sitting time and obesity or abdominal obesity according to sex and socioeconomic status. Sitting time was positively correlated with body mass index in men and women and waist circumference in men. When considering socioeconomic factors, men who sat for 5 hours or longer and fell within the lowest income were more likely to have obesity and abdominal obesity relative to men who sat for 5 hours or shorter and earned higher incomes (odds ratio [95% confidence interval] = 1.80 [1.14–2.84] and 1.63 [1.02–2.61] respectively), and women who sat for 5 hours or longer and fell within the lowest educational level were more likely to have obesity relative to women who sat for 5 hours or less and were educated to a higher level (1.24 [1.01–1.85]). Strategies to reduce sedentary behavior would help to prevent obesity in older men who earn low incomes and women with lower levels of educational attainment.
Image to Text Conversion: State of the Art and Extended Work

The aim of this article is to study the conversion of information between the different modalities (text, image) due to the evolution of human-machine communication that introduced the use of natural communication modalities to humans such as gestures, speech, sound and vision. In fact, one of the main challenges of this "multimodal" learning is the learning of a shared representation between the distinct modalities and the prediction of the missing data (for example, by retrieval or synthesis) from a conditioned modality to another. Some researches work on the different types of conversions; Text to Speech, Speech to Picture or Text to Picture synthesis and vice-versa but in this paper we will focus on: Text to Picture (TTP) and Picture to Text (PTT) synthesis.
Exploring Mechanisms of Multiple Insecticide Resistance in a Population of the Malaria Vector Anopheles funestus in Benin

Background The insecticide resistance status of the malaria vector Anopheles funestus and the underlying resistance mechanisms remain uncharacterised in many parts of Africa, notably in Benin, West Africa. To fill this gap in our knowledge, we assessed the susceptibility status of a population of this species in Pahou, Southern Benin and investigated the potential resistance mechanisms. Methodology/Principal Findings WHO bioassays revealed a multiple resistance profile for An. funestus in Pahou. This population is highly resistant to DDT with no mortality in females after 1h exposure to 4%DDT. Resistance was observed against the Type I pyrethroid permethrin and the carbamate bendiocarb. A moderate resistance was detected against deltamethrin (type II pyrethroids). A total susceptibility was observed against malathion, an organophosphate. Pre-exposure to PBO did not change the mortality rates for DDT indicating that cytochrome P450s play no role in DDT resistance in Pahou. No L1014F kdr mutation was detected but a correlation between haplotypes of two fragments of the Voltage-Gated Sodium Channel gene and resistance was observed suggesting that mutations in other exons may confer the knockdown resistance in this species. Biochemical assays revealed elevated levels of GSTs and cytochrome mono-oxygenases in Pahou. No G119S mutation and no altered acetylcholinesterase gene were detected in the Pahou population. qPCR analysis of five detoxification genes revealed that the GSTe2 is associated to the DDT resistance in this population with a significantly higher expression in DDT resistant samples. A significant over-expression of CYP6P9a and CYP6P9b previously associated with pyrethroid resistance was also seen but at a lower fold change than in southern Africa. Conclusion The multiple insecticide resistance profile of this An. funestus population in Benin shows that more attention should be paid to this important malaria vector for the implementation and management of current and future malaria vector control programs in this country.
Communication is key: the utility of a revised neuropsychological report format

Abstract Objective: The neuropsychological report is a critical tool for communicating evaluation results to multiple audiences who have varying knowledge about neuropsychology and often have limited ability to review long, complex reports. Considerable time is spent writing these reports and challenges persist related to readability, length/complexity, and billable clinical time (which may be capped by third-party payors or families’ ability to pay). Methods: This quality improvement effort systematically evaluated the redesign of pediatric neuropsychological reports in an outpatient clinic serving primarily medical populations. Results: Revised reports were shorter, with improved readability, structure, and effectiveness in communicating results and recommendations. Improved clinical efficiency was also observed. Conclusions: We suggest that adaptation to efficient, readable, and effective reports is possible within the practice of neuropsychology. Findings encourage replication in other settings. Through collaboration with key stakeholders, providers can identify their populations’ and audience’s unique needs and set report targets accordingly. To encourage that practice, we summarize our general process, provide a set of guidelines that can be adapted across multiple settings, and include an appended sample report.
Early photosynthetic eukaryotes inhabited low-salinity habitats

Significance Although it is widely accepted that the chrloroplasts in photosynthetic eukaryotes can be traced back to a single cyanobacterial ancestor, the nature of that ancestor remains debated. Chloroplasts have been proposed to derive from either early- or late-branching cyanobacterial lineages, and similarly, the timing and ecological setting of this event remain uncertain. Phylogenomic and Bayesian relaxed molecular clock analyses show that the chloroplast lineage branched deep within the cyanobacterial tree of life ∼2.1 billion y ago, and ancestral trait reconstruction places this event in low-salinity environments. The chloroplast took another 200 My to become established, with most extant groups originating much later. Our analyses help to illuminate the little known evolutionary history of early life on land. The early evolutionary history of the chloroplast lineage remains an open question. It is widely accepted that the endosymbiosis that established the chloroplast lineage in eukaryotes can be traced back to a single event, in which a cyanobacterium was incorporated into a protistan host. It is still unclear, however, which Cyanobacteria are most closely related to the chloroplast, when the plastid lineage first evolved, and in what habitats this endosymbiotic event occurred. We present phylogenomic and molecular clock analyses, including data from cyanobacterial and chloroplast genomes using a Bayesian approach, with the aim of estimating the age for the primary endosymbiotic event, the ages of crown groups for photosynthetic eukaryotes, and the independent incorporation of a cyanobacterial endosymbiont by Paulinella. Our analyses include both broad taxon sampling (119 taxa) and 18 fossil calibrations across all Cyanobacteria and photosynthetic eukaryotes. Phylogenomic analyses support the hypothesis that the chloroplast lineage diverged from its closet relative Gloeomargarita, a basal cyanobacterial lineage, ∼2.1 billion y ago (Bya). Our analyses suggest that the Archaeplastida, consisting of glaucophytes, red algae, green algae, and land plants, share a common ancestor that lived ∼1.9 Bya. Whereas crown group Rhodophyta evolved in the Mesoproterozoic Era (1,600–1,000 Mya), crown groups Chlorophyta and Streptophyta began to radiate early in the Neoproterozoic (1,000–542 Mya). Stochastic mapping analyses indicate that the first endosymbiotic event occurred in low-salinity environments. Both red and green algae colonized marine environments early in their histories, with prasinophyte green phytoplankton diversifying 850–650 Mya.
The Effects of Introducing Mixed Payment Systems for Physicians: Experimental Evidence

Mixed payment systems have become a prominent alternative to paying physicians through fee-for-service and capitation. While theory shows mixed payment systems to be superior, causal effects on physicians' behavior when introducing mixed systems are not well understood empirically. We systematically analyze the influence of fee-for-service, capitation, and mixed payment systems on physicians' service provision. In a controlled laboratory setting, we implement an exogenous variation of the payment method. Medical and non-medical students in the role of physicians in the lab (N = 213) choose quantities of medical services affecting patients' health outside the lab. Behavioral data reveal significant overprovision of medical services under fee-for-service and significant underprovision under capitation, although less than predicted when assuming profit maximization. Introducing mixed payment systems significantly reduces deviations from patient-optimal treatment. Although medical students tend to be more patient regarding, our results hold for both medical and non-medical students. Responses to incentive systems can be explained by a behavioral model capturing individual altruism. In particular, we find support that altruism plays a role in service provision and can partially mitigate agency problems, but altruism is heterogeneous in the population. Copyright © 2015 John Wiley & Sons, Ltd.
Motivating sample sizes in adaptive Phase I trials via Bayesian posterior credible intervals

In contrast with typical Phase III clinical trials, there is little existing methodology for determining the appropriate numbers of patients to enroll in adaptive Phase I trials. And, as stated by Dennis Lindley in a more general context, “[t]he simple practical question of ‘What size of sample should I take’ is often posed to a statistician, and it is a question that is embarrassingly difficult to answer. ” Historically, simulation has been the primary option for determining sample sizes for adaptive Phase I trials, and although useful, can be problematic and time‐consuming when a sample size is needed relatively quickly. We propose a computationally fast and simple approach that uses Beta distributions to approximate the posterior distributions of DLT rates of each dose and determines an appropriate sample size through posterior coverage rates. We provide sample sizes produced by our methods for a vast number of realistic Phase I trial settings and demonstrate that our sample sizes are generally larger than those produced by a competing approach that is based upon the nonparametric optimal design.
Cortical electrical stimulation in female rats with a cervical spinal cord injury to promote axonal outgrowth

Electrical stimulation (ES) to promote corticospinal tract (CST) repair after spinal cord injury (SCI) is underinvestigated. This study is the first to detail intracortical ES of the injured CST. We hypothesize that cortical ES will promote CST collateralization and regeneration, prevent dieback, and improve recovery in an SCI rat model. The CST was transected at the the fourth cervical level in adult female Lewis rats trained in a stairwell grasping task. Animal groups included (a) ES333 (n = 14; 333 Hz, biphasic pulse for 0.2‐ms duration every 500 ms, 30 pulses per train); (b) ES20 (n = 14; 20 Hz, biphasic pulse for 0.2‐ms duration every 1 s, 60 pulses per train); (c) SCI only (n = 10); and (d) sham (n = 10). ES of the injured forelimb's motor cortex was performed for 30 min immediately prior to SCI. Comparisons between histological data were performed with a 1‐way ANOVA or Kruskal–Wallis test, and grasping scores were compared using repeated‐measures 2‐way ANOVA.
How a Plant Builds Leaves

A leaf develops from a few cells that grow, divide, and differentiate to form a complex organ that is precisely positioned relative to its neighbors. How cells communicate to achieve such coordinated growth and development is the focus of this review. We discuss (1) how the stem cells within the shoot meristem gain competence to form organs, (2) what determines the positioning and initiation of new organs, and (3) how the new organ attains its characteristic shape and polarity. Special emphasis is given to the recent integration of mathematics and physics in the study of leaf development.
Conserved charged amino acids are key determinants for fatty acid binding proteins (FABPs)-membrane interactions. A multi-methodological computational approach

Based on the analysis of the mechanism of ligand transfer to membranes employing in vitro methods, Fatty Acid Binding Protein (FABP) family has been divided in two subgroups: collisional and diffusional FABPs. Although the collisional mechanism has been well characterized employing in vitro methods, the structural features responsible for the difference between collisional and diffusional mechanisms remain uncertain. In this work, we have identified the amino acids putatively responsible for the interaction with membranes of both, collisional and diffusional, subgroups of FABPs. Moreover, we show how specific changes in FABPs’ structure could change the mechanism of interaction with membranes. We have computed protein–membrane interaction energies for members of each subgroup of the family, and performed Molecular Dynamics simulations that have shown different configurations for the initial interaction between FABPs and membranes. In order to generalize our hypothesis, we extended the electrostatic and bioinformatics analysis over FABPs of different mammalian genus. Also, our methodological approach could be used for other systems involving protein–membrane interactions.