Miracle-dz/UniFAR-FTUs huggingface dataset:
R3SGM: Real-Time Raster-Respecting Semi-Global Matching for Power-Constrained Systems

Stereo depth estimation is used for many computer vision applications. Though many popular methods strive solely for depth quality, for real-time mobile applications (e.g. prosthetic glasses or micro-UAVs), speed and power efficiency are equally, if not more, important. Many real-world systems rely on Semi-Global Matching (SGM) to achieve a good accuracy vs. speed balance, but power efficiency is hard to achieve with conventional hardware, making the use of embedded devices such as FPGAs attractive for low-power applications. However, the full SGM algorithm is ill-suited to deployment on FPGAs, and so most FPGA variants of it are partial, at the expense of accuracy. In a non-FPGA context, the accuracy of SGM has been improved by More Global Matching (MGM), which also helps tackle the streaking artifacts that afflict SGM. In this paper, we propose a novel, resource-efficient method that is inspired by MGM's techniques for improving depth quality, but which can be implemented to run in real time on a low-power FPGA. Through evaluation on multiple datasets (KITTI and Middlebury), we show that in comparison to other real-time capable stereo approaches, we can achieve a state-of-the-art balance between accuracy, power efficiency and speed, making our approach highly desirable for use in real-time systems with limited power.
Shaping Responses to Torture: What You Call It Matters

Although torture is largely ineffective for gaining information from terrorism suspects, nearly half of Americans support its use. Building upon previous work examining predictors of responses to such tactics and willingness to label them as “torture,” this research tested whether the “torture” label itself can influence attitudes. Across five experiments using two different populations, both politically liberal and conservative participants showed more negative attitudes toward “torture” than “enhanced interrogation,” even given identical descriptions of the tactics. This greater negativity in response to “torture” extended to actual behavior (signing a petition) and was driven by cognitive appraisals of severity as well as feelings of personal distress and other-directed empathic concern. Furthermore, there was a small but significant effect for such effects to be stronger among conservatives than liberals. These findings have implications for the underpinnings of attitudes toward torture, potential ways to shift such attitudes, and the psychological consequences of labels.
Ocimum gratissimum leaf extract may precipitate infertility in male diabetic Wistar rats

Objective: This study was designed to investigate the Ocimum gratissimum (OG) effects on sperm quality and testicular cytoarchitecture in alloxan-induced diabetic rats. Method: Twenty male Wistar rats (150-200 g) were assigned into 4 groups (n=5) as A (control), B (OG), C (Dia) and D (Dia+OG). Groups A and B were normal animals receiving distilled water or OG (400 mg/kg), respectively while diabetes was induced by alloxan monohydrate (100 mg/kg) in groups C and D, followed by the administration of distilled water or OG, respectively for 28 days. Blood samples were obtained for fasting blood glucose (FBG) and fructosamine determination while, epididymis and testes were obtained for sperm quality assessment using computer-assisted sperm analyzer and testicular histomorphometry, respectively. Seminiferous tubule diameter and interstitial space distance were quantified in hematoxylin and eosin stained slides. Statistical analysis was done using ANOVA and student t-test at α0. 05. Results: Fructosamine and FBG were reduced in Dia+OG (80.11±3.80µmol/L and 132.0±8.41mg/dl, respectively) compared with Dia (139.66±4.29µmol/L and 285.6±26.69mg/dl, respectively). Sperm count was unchanged in Dia, but decreased in OG and Dia+OG; abnormal sperm cells increased in OG, Dia and Dia+OG. Mild vacuolation in the seminiferous tubule, disorganized germinal cells layer, arrested sperm maturation with empty spermatozoa in lumen, decreased seminiferous tubule diameter and increased interstitial space were found in the testes of OG, Dia and Dia+OG compared with control. Conclusion: Diabetes induces sperm impairments and distortions in testicular cytoarchitecture, which were aggravated by OG leaf extract in male Wistar rats.
Effect of the practice environment of nurses on job outcomes and safety climate*

ABSTRACT Objective: to propose and analyze a theoretical model to measure the effect of nurses’ perceptions about the practice environment on safety climate, job satisfaction, intention to stay employed and in the profession, and burnout syndrome. Method: correlational study with probabilistic sample of 465 nurses. In the theoretical model, the dimensions of the nursing practice environment were considered as independent variables and job satisfaction, safety climate, intention to stay employed and in the profession, and burnout were considered the outcome variables. Structural Equation Modeling was the method used in the analysis. Results: small adjustments were made in the model and the dimensions of practice environment predicted job satisfaction (R2 = 43%), safety climate (R2 = 42%) and burnout (R2 = 36%), as well as the intention to stay in the job (R2 = 22%) and in the profession (R2 = 17%). Conclusion: the practice environment showed a strong impact on job satisfaction, safety climate and burnout, with a moderate impact on the intention to stay in the institution and in the profession. The findings can be used to manage care in health institutions, focusing on promoting nurse retention and improving the safety climate.
Revising Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria for the bipolar disorders: Phase I of the AREDOC project

Objective: To derive new criteria sets for defining manic and hypomanic episodes (and thus for defining the bipolar I and II disorders), an international Task Force was assembled and termed AREDOC reflecting its role of Assessment, Revision and Evaluation of DSM and other Operational Criteria. This paper reports on the first phase of its deliberations and interim criteria recommendations. Method: The first stage of the process consisted of reviewing Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and recent International Classification of Diseases criteria, identifying their limitations and generating modified criteria sets for further in-depth consideration. Task Force members responded to recommendations for modifying criteria and from these the most problematic issues were identified. Results: Principal issues focussed on by Task Force members were how best to differentiate mania and hypomania, how to judge ‘impairment’ (both in and of itself and allowing that functioning may sometimes improve during hypomanic episodes) and concern that rejecting some criteria (e.g. an imposed duration period) might risk false-positive diagnoses of the bipolar disorders. Conclusion: This first-stage report summarises the clinical opinions of international experts in the diagnosis and management of the bipolar disorders, allowing readers to contemplate diagnostic parameters that may influence their clinical decisions. The findings meaningfully inform subsequent Task Force stages (involving a further commentary stage followed by an empirical study) that are expected to generate improved symptom criteria for diagnosing the bipolar I and II disorders with greater precision and to clarify whether they differ dimensionally or categorically.
Instagram: its influence to psychologically empower women

Purpose The purpose of this paper is to investigate whether posting on Instagram contributes to empowerment and through what mechanisms. Design/methodology/approach A sample of 372 women instagrammers from Kuwait participated in the survey. LISREL 8.2 was used to perform confirmatory factor analysis and structural equation modeling, employing the maximum likelihood estimation method. Findings Instagram posts have direct and indirect effects on psychological empowerment. The indirect effect appears through two perceptual mechanisms: sense of self-efficacy and sense of community (SOC). The former provides women with a sense of mastery and control and the latter gives them the perception of belonging to a community that equips individual participants with a collective efficacy. Of the two mechanisms, the SOC plays a more significant role in creating psychological empowerment. Having a sense of virtual community, as opposed to participating in real ones, can act as catalyst in creating empowerment. Originality/value This study investigates the impact of a recent new technology, namely, Instagram, in regions where women are marginalized for generations. Instagram is important, because images, photo captions, short texts and hashtags are vital elements of communication in the present day. Furthermore, women are twice as likely to think highly of a brand that makes an empowering ad and are more likely to share, comment and like the ads.
Provably Accelerated Randomized Gossip Algorithms

In this work we present novel provably accelerated gossip algorithms for solving the average consensus problem. The proposed protocols are inspired from the recently developed accelerated variants of the randomized Kaczmarz method - a popular method for solving linear systems. In each gossip iteration all nodes of the network update their values but only a pair of them exchange their private information. Numerical experiments on popular wireless sensor networks showing the benefits of our protocols are also presented.
The LORACs prior for VAEs: Letting the Trees Speak for the Data

In variational autoencoders, the prior on the latent codes $z$ is often treated as an afterthought, but the prior shapes the kind of latent representation that the model learns. If the goal is to learn a representation that is interpretable and useful, then the prior should reflect the ways in which the high-level factors that describe the data vary. The "default" prior is an isotropic normal, but if the natural factors of variation in the dataset exhibit discrete structure or are not independent, then the isotropic-normal prior will actually encourage learning representations that mask this structure. To alleviate this problem, we propose using a flexible Bayesian nonparametric hierarchical clustering prior based on the time-marginalized coalescent (TMC). To scale learning to large datasets, we develop a new inducing-point approximation and inference algorithm. We then apply the method without supervision to several datasets and examine the interpretability and practical performance of the inferred hierarchies and learned latent space.
Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach

Despite several attacks have been proposed, text-based CAPTCHAs are still being widely used as a security mechanism. One of the reasons for the pervasive use of text captchas is that many of the prior attacks are scheme-specific and require a labor-intensive and time-consuming process to construct. This means that a change in the captcha security features like a noisier background can simply invalid an earlier attack. This paper presents a generic, yet effective text captcha solver based on the generative adversarial network. Unlike prior machine-learning-based approaches that need a large volume of manually-labeled real captchas to learn an effective solver, our approach requires significantly fewer real captchas but yields much better performance. This is achieved by first learning a captcha synthesizer to automatically generate synthetic captchas to learn a base solver, and then fine-tuning the base solver on a small set of real captchas using transfer learning. We evaluate our approach by applying it to 33 captcha schemes, including 11 schemes that are currently being used by 32 of the top-50 popular websites including Microsoft, Wikipedia, eBay and Google. Our approach is the most capable attack on text captchas seen to date. It outperforms four state-of-the-art text-captcha solvers by not only delivering a significant higher accuracy on all testing schemes, but also successfully attacking schemes where others have zero chance. We show that our approach is highly efficient as it can solve a captcha within 0.05 second using a desktop GPU. We demonstrate that our attack is generally applicable because it can bypass the advanced security features employed by most modern text captcha schemes. We hope the results of our work can encourage the community to revisit the design and practical use of text captchas.
Medical informatics research trend analysis: A text mining approach

The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.
Low genetic diversity in broodstocks of endangered Chinese sucker, Myxocyprinusasiaticus: implications for artificial propagation and conservation

Abstract The releasing program of Chinese sucker (Myxocyprinusasiaticus) has been conducted for years in China. To prevent loss of genetic variation in wild populations, it is important to assess and monitor genetic diversity of broodstocks before release of offspring. Three broodstocks (Pixian Base of Sichuan Fisheries Research Institute, China (PBS), Yibin Base of Sichuan Fisheries Research Institute, China (YBS) and Yibin Rare Aquatic Animal Research Institute, China (YRA)) were investigated using mitochondrial control region and 12 microsatellites. The relatively low genetic diversities of these broodstocks were detected (PBS, haplotype diversity (h) = 0.877, observed heterozygosity (Ho) = 0.416; YBS, h = 0.812, Ho = 0.392; YRA, h = 0.818, Ho = 0.365). PBS showed higher Ho than YBS and YRA (P < 0.05). Genetic divergence (FST) based on microsatellites between PBS and YRA was significant (FST = 0.1270, P < 0.05), the same situation happened between YBS and YRA (FST = 0.1319, P < 0.05). However, divergence between PBS and YBS was not significant (FST = 0.0029, P > 0.05). Structure analysis revealed that YRA were distinct from PBS and YBS. Based on these results, it is important to propose some suggestions of genetic management for artificial propagation of Chinese sucker, such as broodstock exchange among hatcheries and broodstock supplement from wild.
Macular Pigment Optical Density Measured by a Single Wavelength Reflection Photometry with and without Mydriasis

ABSTRACT Purpose: 1. To evaluate the repeatability of macular pigment optical density (MPOD) measurements in non-mydriatic and mydriatic conditions with a single wavelength reflection photometry. 2. To compare the non-mydriatic measurement with the mydriatic measurement of MPOD values. Methods: Fifty-one healthy young subjects were recruited in this prospective study. MPOD parameters including maximum optical intensity (OD), mean OD, volume and area, were measured using a single 460-nm wavelength reflection method (Visucam 200, Carl Zeiss Meditec) twice both before and after pupil dilation. Paired t test, Pearson’s correlation, intraclass correlation coefficient (ICC) and Bland–Altman plots were used to evaluate the agreement and correlation of MPOD parameters before and after mydriasis. Results: The differences of maximum OD, mean OD and volume between the two measurements without mydriasis was statistically significant for all parameters, but not significant between the two measurements with mydriasis or between non-mydriatic and mydriatic measures. The ICCs were higher for the two measurements with mydriasis (range: 0.687–0.840) than those without mydriasis (range: 0.448–0.695) or non-mydriatic and mydriatic measures (range: 0.473–0.769). The 95% limit of agreement (LOA) of measurements between the two measurements after mydriasis was the smallest among all the other comparisons. The coefficient of repeatability was lower for the measurements with mydriasis than those without mydriasis. Conclusions: MPOD measurement by Visucam 200 with mydriasis has higher repeatability than the measurement without mydriasis. The non-mydriatic and mydriatic measures had less agreement compared to the two measure after mydriasis. Therefore, mydriasis is recommended.
Comparing continual task learning in minds and machines

Significance Humans learn to perform many different tasks over the lifespan, such as speaking both French and Spanish. The brain has to represent task information without mutual interference. In machine learning, this “continual learning” is a major unsolved challenge. Here, we studied the patterns of errors made by humans and state-of-the-art neural networks while they learned new tasks from scratch and without instruction. Humans, but not machines, seem to benefit from training regimes that blocked one task at a time, especially when they had a prior bias to represent stimuli in a way that encouraged task separation. Machines trained to exhibit the same prior bias suffered less interference between tasks, suggesting new avenues for solving continual learning in artificial systems. Humans can learn to perform multiple tasks in succession over the lifespan (“continual” learning), whereas current machine learning systems fail. Here, we investigated the cognitive mechanisms that permit successful continual learning in humans and harnessed our behavioral findings for neural network design. Humans categorized naturalistic images of trees according to one of two orthogonal task rules that were learned by trial and error. Training regimes that focused on individual rules for prolonged periods (blocked training) improved human performance on a later test involving randomly interleaved rules, compared with control regimes that trained in an interleaved fashion. Analysis of human error patterns suggested that blocked training encouraged humans to form “factorized” representation that optimally segregated the tasks, especially for those individuals with a strong prior bias to represent the stimulus space in a well-structured way. By contrast, standard supervised deep neural networks trained on the same tasks suffered catastrophic forgetting under blocked training, due to representational interference in the deeper layers. However, augmenting deep networks with an unsupervised generative model that allowed it to first learn a good embedding of the stimulus space (similar to that observed in humans) reduced catastrophic forgetting under blocked training. Building artificial agents that first learn a model of the world may be one promising route to solving continual task performance in artificial intelligence research.
Density-dependent adult recruitment in a low-density tropical tree

Significance An important class of negative feedbacks in population dynamics is the activity of host-specific enemies that disproportionately kill individuals in locations where they are common. This mechanism, called the Janzen–Connell hypothesis, has been proposed as a determinant of the large number of species in tropical forests. A critical but untested assumption of the hypothesis is that density-dependent mortality among juvenile trees reduces the probability of adult recruitment. Here, we show that adult recruitment is negatively density dependent in a low-density tree population using time series from high-resolution remote sensing. However, this density dependence was not strong enough to stabilize the size of the adult population, which increased significantly in size. The Janzen–Connell hypothesis is a well-known explanation for why tropical forests have large numbers of tree species. A fundamental prediction of the hypothesis is that the probability of adult recruitment is less in regions of high conspecific adult density, a pattern mediated by density-dependent mortality in juvenile life stages. Although there is strong evidence in many tree species that seeds, seedlings, and saplings suffer conspecific density-dependent mortality, no study has shown that adult tree recruitment is negatively density dependent. Density-dependent adult recruitment is necessary for the Janzen–Connell mechanism to regulate tree populations. Here, we report density-dependent adult recruitment in the population of Handroanthus guayacan, a wind-dispersed Neotropical canopy tree species. We use data from high-resolution remote sensing to track individual trees with proven capacity to flower in a lowland moist forest landscape in Panama and analyze these data in a Bayesian framework similar to capture–recapture analysis. We independently quantify probabilities of adult tree recruitment and detection and show that adult recruitment is negatively density dependent. The annualized probability of adult recruitment was 3.03% ⋅ year−1. Despite the detection of negative density dependence in adult recruitment, it was insufficient to stabilize the adult population of H. guayacan, which increased significantly in size over the decade of observation.
Endocrine implications of obesity and bariatric surgery.

INTRODUCTION Obesity is a highly prevalent disease in the world associated with the disorders of endocrine system. Recently, it may be concluded that the only effective treatment of obesity remains bariatric surgery. The aim of the review was to compare the concepts of appetite hormonal regulation, reasons of obesity development and bariatric procedures published over the last decade. MATERIAL AND METHODS The reviewed publications had been chosen on the base on: 1. reasons and endocrine consequences of obesity; 2. development of surgery methods from the first bariatric to present and future less aggressive procedures; 3. impact of surgery on the endocrine status of patient. RESULTS The most serious endocrine disturbances during obesity are dysfunctions of hypothalamic circuits responsible for appetite regulation, insulin resistance, changes in hormones activity and abnormal activity of adipocytes hormones. The currently recommended bariatric surgeries are Roux-en-Y gastric bypass, sleeve gastrectomy and adjustable gastric banding. Bariatric surgical procedures, particularly combination of restrictive and malabsorptive, decrease the body weight and eliminate several but not all components of metabolic syndrome. CONCLUSIONS 1.Hunger and satiety are mediated by an interplay of nervous and endocrine signals. 2. Healthy adipose tissue secretion of adipokines is coordinated in an anti-inflammatory, insulin-sensitizing and cardioprotective pattern. However, with increasing fat mass this secretion pattern is changed into a proinflammatory, insulin resistant, atherogenic and fatal systemic environment . 3. Bariatric surgery is not a solution of the obesity problem for everyone. 4. Long term postsurgical observations of the hormonal profile changes are necessary and should be obligatory.