Miracle-dz/UniFAR-FTUs huggingface dataset:
A Neural-Symbolic Approach to Design of CAPTCHA.

CAPTCHAs based on reading text are susceptible to machine-learning-based attacks due to recent significant advances in deep learning (DL). To address this, this paper promotes image/visual captioning based CAPTCHAs, which is robust against machine-learning-based attacks. To develop image/visual-captioning-based CAPTCHAs, this paper proposes a new image captioning architecture by exploiting tensor product representations (TPR), a structured neural-symbolic framework developed in cognitive science over the past 20 years, with the aim of integrating DL with explicit language structures and rules. We call it the Tensor Product Generation Network (TPGN). The key ideas of TPGN are: 1) unsupervised learning of role-unbinding vectors of words via a TPR-based deep neural network, and 2) integration of TPR with typical DL architectures including Long Short-Term Memory (LSTM) models. The novelty of our approach lies in its ability to generate a sentence and extract partial grammatical structure of the sentence by using role-unbinding vectors, which are obtained in an unsupervised manner. Experimental results demonstrate the effectiveness of the proposed approach.
Short-Term Load Forecasting Using Optimized LSTM Networks Based on EMD

Short-term load forecasting is one of the crucial sections in smart grid. Precise forecasting enables system operators to make reliable unit commitment and power dispatching decisions. With the advent of big data, a number of artificial intelligence techniques have been used to predict the load of the next day. Nevertheless, due to the noise of raw data and the randomness of power load, forecasting errors of existing approaches are relatively large. In this study, a short-term load forecasting method is proposed on the basis of empirical mode decomposition and long short-term memory networks, the parameters of which are optimized by a particle swarm opti-mization algorithm. Essentially, empirical mode decomposition can decompose the original time series of historical data into relatively stationary components and long short-term memory network is able to emphasize as well as model the timing of data, the joint use of which is expected to effectively apply the characteristics of data itself, so as to improve the predictive accuracy. The effectiveness of this research is exemplified on a realistic data set, the experimental results of which show that the proposed method has higher forecasting accuracy and applicability, as compared with existing methods.
Inhibitory Effect of Lupeol on MMPs Expression using Aged Fibroblast through Repeated UVA Irradiation

In this study, the aged dermal fibroblast model was constructed by repeated irradiation with UV light and the effect of lupeol, a triterpenoid, on anti‐aging was confirmed. SA‐β‐galactosidase (SA‐β‐gal) stained aged cells increased by about 40% and expression of p‐p53, p21, p16 and MMPs (MMP‐1, ‐2, ‐3) increased in aged fibroblast. As an efficacy result, the treatment of lupeol on aged fibroblast induced by UVA repeated irradiation showed a dose‐dependent reduction of SA‐β‐gal stained aged cells, the expression of p‐p53, p21, p16 and inhibition of MMPs. Interestingly, lupeol increased dephosphorylation of p‐ERK in repeated UV irradiated conditions. Additionally, lupeol compensated MMPs expression when p‐ERK phosphorylation was inhibited by p‐ERK inhibitor PD98059. Thus, these results showed that lupeol has a possible effect on MMPs expression using inhibition of the p‐ERK pathway. Taken together, we confirmed that lupeol inhibits senescence through inhibiting MMP‐1, ‐2, ‐3 as well as p‐p53, p21 and p16 expression and SA‐β‐gal activity in repeated UVA‐irradiated senescent FB models, therefore suggesting that lupeol may be useful as an anti‐aging agent.
Unpacking the link between socioeconomic status and behavior problems: A second-order meta-analysis

Abstract Substantial evidence links socioeconomic status to internalizing and externalizing behavior problems. However, it is unclear how these two categories of behavior problems relate to specific components of socioeconomic status (e.g., income, educational attainment, and occupational prestige) or overall social status. In this study, we conducted a second-order meta-analysis to estimate the average associations of income, education, occupation, and overall socioeconomic status with internalizing and externalizing behavior problems, and to examine if age, sex, and race/ethnicity moderated these associations. Our systematic search in PsycINFO, PubMed, Google Scholar, Web of Science, and ProQuest Dissertations and Theses Global identified 12 meta-analyses (17% unpublished), including approximately 474 primary studies and 327,617 participants. In relation to internalizing, we found small average associations with income, r+ = –. 18, 95% confidence interval (CI) [–. 31, –. 04], and education, r+ = –. 12, 95% CI [–. 15, –. 09]. In relation to externalizing, we found smaller associations with income, r+ = –. 02, 95% CI [–. 15, . 10], education, r+ = –. 03, 95% CI [–. 16, . 10], and overall socioeconomic status, r+ = –. 05, 95% CI [–. 11, . 01], but these CIs included zero. Only sex composition of the samples moderated the latter association. We provide recommendations for best practices and future research directions.
Low‐dose administration of bleomycin leads to early alterations in lung mechanics

What is the central question of this study? When do alterations in pulmonary mechanics occur following chronic low‐dose administration of bleomycin? What is the main finding and its importance? Remarkably, we report changes in lung mechanics as early as day 7 that corresponded to parameters determined from single‐frequency forced oscillation manoeuvres and pressure–volume loops. These changes preceded substantial histological changes or changes in gene expression levels. These findings are significant to refine drug discovery in idiopathic pulmonary fibrosis, where preclinical studies using lung function parameters would enhance the translational potential of drug candidates where lung function readouts are routinely performed in the clinic.
The art of vector engineering: towards the construction of next‐generation genetic tools

When recombinant DNA technology was developed more than 40 years ago, no one could have imagined the impact it would have on both society and the scientific community. In the field of genetic engineering, the most important tool developed was the plasmid vector. This technology has been continuously expanding and undergoing adaptations. Here, we provide a detailed view following the evolution of vectors built throughout the years destined to study microorganisms and their peculiarities, including those whose genomes can only be revealed through metagenomics. We remark how synthetic biology became a turning point in designing these genetic tools to create meaningful innovations. We have placed special focus on the tools for engineering bacteria and fungi (both yeast and filamentous fungi) and those available to construct metagenomic libraries. Based on this overview, future goals would include the development of modular vectors bearing standardized parts and orthogonally designed circuits, a task not fully addressed thus far. Finally, we present some challenges that should be overcome to enable the next generation of vector design and ways to address it.
Evidence in Orthodontics related to qualitative research

ABSTRACT Introduction: Research in Orthodontics has historically followed the positivist model based on the direct relationship of cause and effect between diseases and their specific etiological factors. Despite the objectivity and the great potential of statistical procedures, quantitative methods have progressively been sharing space with other models that can encompass the multiplicity of factors that affect the health-disease process, which until such time was reduced to its biological dimension. Objectives: This study aims, through an integrative review, to identify orthodontics articles published over a 10-year period that have used, exclusively or not, some method of qualitative research, and analyze the main aspects of their content. Methods: A survey was performed on Pubmed, Medline, Scopus, and Lilacs databases from 2007 to 2016 with a focus on the applicability of the qualitative methodology in orthodontic research. Results: The 27 articles selected showed a trend to increase in publications, with the most recent four years concentrating almost 60% of them. Most studies were from Europe, particularly the UK, and the more frequent study objectives were related to the perception of people about the reasons for orthodontic treatment, about the aesthetic and psychosocial impact of malocclusion or orthodontic treatment, and the implications of these factors for their quality of life. Conclusions: Because of its potential to explore behaviours and socio-cultural attitudes sustained in subjectivity, qualitative research offers new possibilities for orthodontic studies and can be used in an exclusive or complementary way in relation to quantitative methods.
Ventral prefrontal cortex and emotion regulation in aging: A case for utilizing transcranial magnetic stimulation

The ventrolateral prefrontal cortex (vlPFC) has been speculated to play an important role in complex processes that allow emotional factors to influence human cognition. Accumulating evidence from human neuroimaging studies, in conjunction with studies of patients with lesions and animal models, shed light on the role of the vlPFC in emotion regulation (ER). This review aims to discuss and integrate recent findings related to vlPFC's role in ER in the context of aging, drawing from diverse sources, and suggest future directions for research utilizing transcranial magnetic stimulation (TMS).
Oligosaccharides Derived from Red Seaweed: Production, Properties, and Potential Health and Cosmetic Applications

Because of their potential use as functional ingredients in human nutrition, oligosaccharides derived from natural sources are receiving paramount consideration. Red seaweed, a proven rich source of agar and carrageenan, is one of the most abundantly present sources of such oligosaccharides. Agaro-oligosaccharides (AOS) and carrageenan-oligosaccharides (COS) are produced from agar and carrageenan, respectively, through chemical and enzymatic hydrolyses. Enzymatic hydrolysis of agar and carrageenan into oligosaccharides is preferred in industrial production because of certain problems associated with chemical hydrolysis, including the release of high amounts of monosaccharides and undesirable toxic products, such as furfural. AOS and COS possess many biological activities, including prebiotic, immuno-modulatory, anti-oxidant, and anti-tumor activities. These activities are related to their chemical structure, molecular weight, degree of polymerization, and the flexibility of the glycosidic linkages. Therefore, the structure–function relationship and the mechanisms occurring during the specific biological applications of AOS and COS are discussed herein. Moreover, the chromatographic separation, purification, and characterization of AOS and COS are also part of this review. This piece of writing strives to create a new perspective on the potential applications of AOS and COS in the functional food and pharmaceutical industry.
Promoting cooperation by setting a ceiling payoff for defectors under three-strategy public good games

ABSTRACT The puzzle of altruistic behaviours among multi-agent systems poses a dilemma, which has been an overlapping topic that covers many subjects. The public goods game can be regarded as a paradigm for modelling and exploring it. In the traditional definition of public goods game, the equally divided benefit among all participants leads to the dominance of defection. Much effort has been made to explain the evolution of cooperation, including the model in which the payoff ceilings for defectors are introduced. Further, we study a three-strategy evolutionary public goods game by providing the role of being loners. The payoff ceilings will take effect when the number of cooperators exceeds some threshold. Analysis results by following the replicator dynamics indicate that lower values of the payoff ceilings can better promote levels of public cooperation. Importantly, a remarkable cyclic route has been found: when receiving relative lower benefits, loners act as catalysts, helping the population to escape from mutual defection to cooperation. And, the stable equilibrium points from cooperation to isolation can be realised by improving the fixed payoffs of loners. Finally, broader ceilings also for cooperators provide us more hints about how to suppress the spreading of defectors under certain conditions.
Enhancing IoT security through network softwarization and virtual security appliances

Billions of Internet of Things (IoT) devices are expected to populate our environments and provide novel pervasive services by interconnecting the physical and digital world. However, the increased connectivity of everyday objects can open manifold security vectors for cybercriminals to perform malicious attacks. These threats are even augmented by the resource constraints and heterogeneity of low‐cost IoT devices, which make current host‐based and static perimeter‐oriented defense mechanisms unsuitable for dynamic IoT environments. Accounting for all these considerations, we reckon that the novel softwarization capabilities of Telco network can fully leverage its privileged position to provide the desired levels of security. To this aim, the emerging software‐defined networking (SDN) and network function virtualization (NFV) paradigms can introduce new security enablers able to increase the level of IoT systems protection. In this paper, we design a novel policy‐based framework aiming to exploit SDN/NFV‐based security features, by efficiently coupling with existing IoT security approaches. A proof of concept test bed has been developed to assess the feasibility of the proposed architecture. The presented performance evaluation illustrates the benefits of adopting SDN security mechanisms in integrated IoT environments and provides interesting insights in the policy enforcement process to drive future research.
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees

Machine learning algorithms aim at minimizing the number of false decisions and increasing the accuracy of predictions. However, the high predictive power of advanced algorithms comes at the costs of transparency. State-of-the-art methods, such as neural networks and ensemble methods, result in highly complex models with little transparency. We propose shallow model trees as a way to combine simple and highly transparent predictive models for higher predictive power without losing the transparency of the original models. We present a novel split criterion for model trees that allows for significantly higher predictive power than state-of-the-art model trees while maintaining the same level of simplicity. This novel approach finds split points which allow the underlying simple models to make better predictions on the corresponding data. In addition, we introduce multiple mechanisms to increase the transparency of the resulting trees.
Area postrema syndrome

Objective To define the frequency, duration, and severity of intractable nausea, vomiting, or hiccups in aquaporin-4–immunoglobulin G (AQP4-IgG)-positive neuromyelitis optica spectrum disorder (NMOSD) and propose diagnostic criteria and a severity scale for area postrema syndrome (APS). Methods An International NMOSD database was interrogated for frequency of APS. Patients with AQP4-IgG–positive NMOSD completed an APS symptom questionnaire. Nausea and vomiting severity was derived from the Pregnancy-Unique Quantification of Emesis and Nausea (PUQE) score. The diagnostic criteria, severity scale, and immunotherapy response was applied to a prospective validation cohort of patients from multiple centers. Results Analysis of an international database for AQP4-IgG–seropositive NMOSD (n = 430) revealed a high prevalence of isolated APS attacks (onset 7.1%–10.3%; subsequent 9.4%–14.5%) across continents. For 100 patients with 157 episodes of APS, nausea (n = 127, 81%) lasted for a median of 14 days (range 2–365), vomiting (113, 72%) with a median of 5 episodes/d (2–40) lasted 1–20 minutes, and hiccups (102, 65%) lasted a median of 14 days (2–365). Symptoms consistently and completely resolved following immunotherapy. Data were used to propose APS diagnostic criteria and repurpose PUQE score (hiccups severity grade based on symptom duration). The clinical utility was demonstrated in a prospective validation cohort. Conclusion Isolated APS attacks are frequently encountered both at onset and during the NMOSD course. The diagnostic criteria proposed here will assist clinicians in recognizing APS. Diagnosis of an APS attack earlier than 48 hours is possible if a dorsal medulla lesion is detected. Accurate diagnosis and evaluation of APS attack severity will assist in outcome measurement in NMOSD clinical trials.
Risk Factors And Prevention of Peritoneal Dialysis-Related Peritonitis

Background: Peritonitis is a major complication and the main cause of peritoneal dialysis (PD) failure. The aim of the present study was to evaluate peritonitis risk factors and its prevention with a new peritoneal educational program (NPEP). Methods: We performed a retrospective analysis of a cohort of chronic PD patients, older than 16 years, who began PD in the period 1 January 1999 to 31 December 2015 at a Uruguayan PD center, with follow-up until 31 December 2016. Results: The population included 222 cases (219 patients, 128 men), median age 59 (interquartile range [IQR] 47.0 – 72.0) years, median time on PD 17.5 (IQR 6.0 – 36.2) months. Ninety-five patients suffered 1 or more episodes of peritonitis, and they had been on PD for a longer period and had nasal-positive culture more frequently. A NPEP started in September 2008; patients who trained with it, as well as younger patients, had longer peritonitis-free survival. After the NPEP, global peritonitis rates decreased significantly (from 0.48 to 0.29 episodes/patient-year, respectively), particularly gram-positive bacteria and Staphylococcus aureus / coagulase-negative (CoNS) (from 0.26 to 0.12 and 0.21 to 0.07 episodes/patient-year, respectively). In the multivariate Cox analysis of peritonitis risk factors, survival to first peritonitis was significantly associated only with age (hazard ratio [HR] 1.024, 95% confidence interval [CI] 1.007 – 1.397, p = 0.007) and the NPEP (HR 0.600, 95% CI 0.394 – 0.913, p = 0.017). Conclusion: A multidisciplinary peritoneal educational program may improve peritonitis rates, independently of other risk factors.
Association of anemia and hemoglobin decrease during acute stroke treatment with infarct growth and clinical outcome

Background and purpose Anemia is associated with worse outcome in stroke, but the impact of anemia with intravenous thrombolysis or endovascular therapy has hardly been delineated. The aim of this study was to analyze the role of anemia on infarct evolution and outcome after acute stroke treatment. Methods 1158 patients from Bern and 321 from Los Angeles were included. Baseline data and 3 months outcome assessed with the modified Rankin Scale were recorded prospectively. Baseline DWI lesion volumes were measured in 345 patients and both baseline and final infarct volumes in 180 patients using CT or MRI. Multivariable and linear regression analysis were used to determine predictors of outcome and infarct growth. Results 712 patients underwent endovascular treatment and 446 intravenous thrombolysis. Lower hemoglobin at baseline, at 24h, and nadir until day 5 predicted poor outcome (OR 1.150–1.279) and higher mortality (OR 1.131–1.237) independently of treatment. Decrease of hemoglobin after hospital arrival, mainly induced by hemodilution, predicted poor outcome and had a linear association with final infarct volumes and the amount and velocity of infarct growth. Infarcts of patients with newly observed anemia were twice as large as infarcts with normal hemoglobin levels. Conclusion Anemia at hospital admission and any hemoglobin decrease during acute stroke treatment affect outcome negatively, probably by enlarging and accelerating infarct growth. Our results indicate that hemodilution has an adverse effect on penumbral evolution. Whether hemoglobin decrease in acute stroke could be avoided and whether this would improve outcome would need to be studied prospectively.
What are subjective cognitive difficulties and do they matter?

Background subjective cognitive difficulties (SCD) have been associated with a higher risk of developing dementia. However, there is large variation in the way SCD are assessed and in their associations with cognitive functioning. Objective to compare the agreement of different SCD measures in identifying people with SCD and to investigate whether SCD are more strongly associated with cognitive functioning, mood, subjective age or background variables. Methods this cross-sectional study included 206 community-dwelling people aged ≥65. SCD were assessed with individual domain specific questions and a multiple-item scaled measure. Performance on tests of memory, attention, and executive function, and ratings of mood, subjective age and demographic information were recorded. Results there was some classification overlap between the five measures of SCD, however of the 64 people identified as having SCD, only one person appeared in all five measures of SCD and 34 people were classified by one measure only. There were limited associations between SCD and objective cognition, with more consistent associations with mood and subjective age. Conclusions the conflicting evidence regarding whether SCD are related to objective cognition and future risk of dementia may be due to different measures of SCD being employed. Careful consideration and standardisation is recommended regarding the cognitive domains and the reference groups for comparison, the response structure and the classification criteria. Longitudinal studies of SCD that include these considerations are needed to clarify the conceptual utility of SCD.
Independent Manipulating of Orthogonal-Polarization Terahertz Waves Using A Reconfigurable Graphene-Based Metasurface

Viewing the trend of miniaturization and integration in modern electronic device design, a reconfigurable multi-functional graphene-based metasurface is proposed in this paper. By virtue of the reconfigurability of reflection patterns, this metasurface is able to independently manipulate orthogonal linearly polarized terahertz wave. The building blocks of the proposed metasurface are series of graphene-strips-based unit-cells. Each unit-cell consists of two orthogonal graphene strips and a grounded substrate, which has anisotropic responses for each of orthogonal polarizations (x-polarized and y-polarized waves). The reflection phases of both x- and y-polarized waves can be controlled independently through separate electrical tuning. Based on the proposed metasurface, functionalities including beam splitting, beam deflecting, and linear-to-circular polarization converting using a shared aperture are numerically demonstrated and analyzed. Simulation results demonstrate excellent performance, which is consistent with the theorized expectations. This work paves the way for enhancing the miniaturization of modern electronic/optical devices and potentially has important applications in the next-generation information systems for communication, sensing, and imaging.