Miracle-dz/UniFAR-FTUs huggingface dataset:
Remnants of Cardinal Symptoms of Parkinson's Disease, Not Dyskinesia, Are Problematic for Dyskinetic Patients Performing Activities of Daily Living

Introduction: The impact of levodopa-induced dyskinesia (LID) on the daily lives of patients with Parkinson's disease (PD) remains to be determined. Furthermore, evidence suggests that cardinal motor symptoms of PD may coexist with LID, but their impact on activities of daily living (ADL) relative to LID is not known. This cross-sectional study aimed at determining the effect of LID and cardinal motor symptoms of PD on ADL in patients who were experiencing peak-dose choreic-type LID. Method: One hundred and twenty-one patients diagnosed with PD known to experience choreic-type LID were recruited for the study. Patients were asked to perform a set of ADL. Levels of LID, tremor, bradykinesia, and freezing of gait (FoG) were measured using 17 inertial sensors design to capture full body movements, while rigidity, and postural instability were assessed using clinical evaluations. Cognition was also assessed using the mini-mental state examination. Success criteria were set for each ADL using the time needed to perform the task and errors measured in 69 age-gender-matched healthy controls. Binary logistic regressions were used to identify symptoms influencing success or failure for each activity. Receiver operating characteristic curves were computed on each significant symptom, and Youden indexes were calculated to determine the critical level of symptomatology at which the performance significantly changed. Results: Results show that 97.7% of patients who presented with LID during the experiment also presented with at least one cardinal motor symptom. On average, patients took more time and did more errors during ADL. Multivariate analyses revealed that for the great majority of ADL, LID were not associated with worsening of performance; however, postural instability, tremor, rigidity, and cognitive decline significantly decreased the odds of success. Conclusions: Residual symptoms of PD, such as tremor, rigidity, and postural instability still present at peak-dose were more problematic than LID in the performance of ADL for patients experiencing slight-to-moderate LID. We also found that cognitive decline was associated with decreased performance in certain tasks. Therefore, a strategy using lower doses of medication to manage LID may be counterproductive since it would not address most of these symptoms already present in patients.
Fishers’ Local Ecological Knowledge (LEK) on Connectivity and Seascape Management

In developing countries where data and resources are lacking, the practical relevance of Local Ecological Knowledge (LEK) to expand our understanding of the environment has been highlighted. The potential roles of the LEK varies from direct applications such as gathering environmental information to a more participative involvement of the community in the management of resources they depend on. Fishers’ LEK could therefore be useful in order to obtain information to advance management of coastal fisheries. Many targeted fish species migrate between habitats to feed, spawn or recruit, connecting important habitats within the seascape. LEK could help provide answers to questions related to this connectivity and the identification of fish habitat use and migrations for species and areas where such knowledge is scarce. Here we assess fishers’ LEK on connectivity between multiple habitats within a tropical seascape, investigate the differences in LEK among fisher groups and the coherence between LEK and conventional scientific knowledge (CSK). The study was conducted in Zanzibar, Tanzania, a tropical developing country, in 2017. One hundred and thirty-five semi-structured interviews were conducted in six different locations focusing on fish migrations, and matching photos of fish and habitats. Differences between fisher groups were found, where fishers travelling further, exposed to multiple habitats, and fish with multiple gears had a greater knowledge on connectivity patterns within the seascape than those that fish locally, in single habitats and with just one type of gear. A high degree of overlap in LEK and CSK was found, highlighting the potential benefits of collaboration between scientists and fishers and the use of LEK as complementary information in the management of small-scale fisheries.
Psychopathological Correlates and Emotion Regulation as Mediators of Approach and Avoidance Motivation in a Chinese Military Sample

Background: Approach and avoidance motivation have been thoroughly studied in common mental disorders, which are prevalent in the military context. Approach/avoidance motivational dispositions underlie emotion responses and are thought to influence emotion dysregulation. However, studies on the mediating role of emotion regulation (ER) between motivational dispositions and mental disorders have been insufficient. We examined the psychopathological correlates of motivational dispositions and explored the mediating role of ER. Methods: The Behavioral Inhibition System and Behavioral Activation System (BIS/BAS) scales and measures of mood disorders (depression, anxiety, OCD, and PTSD) were administered to a nonclinical sample of 3,146 Chinese military service members. The Emotion Regulation Questionnaire for Armymen (ERQ-A) (Chinese version) was used to measure ER styles. We examined the reliability and construct validity of the BIS/BAS scales. Approach/avoidance motivations were correlated with symptoms of mood disorders. Mediation analysis was conducted to confirm the mediating role of ER between motivation and mood disorders. Results: The results showed acceptable internal reliability and construct validity of the BIS/BAS scales. Gender (female), family status (single-parent family), and social relationships (having fewer good friends) were significant predictors of high BIS sensitivity. More years of education, an older age, being an only child and being in a single-parent family all significantly predicted high BAS sensitivity. The BIS/BAS scales were predictive of various DSM-V-based mental disorders (depression, anxiety, OCD, and PTSD). Immersion exacerbated the impact of BAS/BIS sensitivities on depressive/PTSD symptoms, while reinterpretation and talking out alleviated the impact of BAS/BIS sensitivities on these symptoms. Conclusions: Motivational dispositions have an impact on mood symptoms under specific conditions. ER strategies (immersion, reinterpretation, and talking out) were shown to be partial mediators between approach/avoidance motivation and mood disorders. These findings highlight the importance of ER in altering the impact of motivational dispositions on mood disorders and as a promising target of psychotherapies.
Alkyne- and Nitrile-Anchored Gold Nanoparticles for Multiplex SERS Imaging of Biomarkers in Cancer Cells and Tissues

Surface-enhanced Raman spectroscopy (SERS) has proven a powerful tool for multiplex detection and imaging due to its narrow peak width and high sensitivity. However, conventional SERS reporters are limited to thiolated compounds, which have limitations such as chemical stability and spectral overlap. Here, we used alkyne- and nitrile-bearing molecules to directly fabricate a set of SERS tags for multiplex imaging. The alkyne and nitrile groups act as both the anchoring points to interact with gold nanoparticle (AuNP) surfaces and the reporters exhibiting strong and nonoverlapping signals in the cellular Raman-silent region. The SERS tags were subsequently modified with different antibodies for multicolor imaging of cancer cells and human breast cancer tissues. The reporters have a simple and readily accessible structure, hence providing new opportunities to prepare SERS nanoprobes
FACE AND EMOTION RECOGNITION UNDER COMPLEX ILLUMINATION CONDITIONS USING DEEP LEARNING WITH MORPHOLOGICAL PROCESSING

: The main objective of this concept is to design an efficient and enhanced face detection and emotion recognition system. A novel method based on deep learning to solve the adverse impact imposed by illumination variation in the face recognition is proposed in this paper. In order to improve the adverse effects of intense illumination changes on face images, illumination preprocessing is applied. Log-Gabor filter is used to obtain the Log-Gabor feature images of different scales and directions, and LBP features of images are extracted. Then, these texture features are learned by DBN network to complete the classification and the recognition. Further this project is extended by introducing emotion recognition by using morphological operations.
Knowledge and attitude related to HIV/AIDS among school students: a multicentric study

Although acquired immune deficiency syndrome (AIDS) is rare among adolescents, this should not be a ground for neglecting preventive health education in schools. Epidemiologic data on the use of drugs and the spread of other sexually transmitted diseases (STDs) among this population suggest that the rate of disease transmission may far exceed its reported rate. Knowledge about high risk behaviours associated with HIV infection could help prevent the spread of this disease in this population.
Traumatic Spinal Cord Injury: An Overview of Pathophysiology, Models and Acute Injury Mechanisms

Traumatic spinal cord injury (SCI) is a life changing neurological condition with substantial socioeconomic implications for patients and their care-givers. Recent advances in medical management of SCI has significantly improved diagnosis, stabilization, survival rate and well-being of SCI patients. However, there has been small progress on treatment options for improving the neurological outcomes of SCI patients. This incremental success mainly reflects the complexity of SCI pathophysiology and the diverse biochemical and physiological changes that occur in the injured spinal cord. Therefore, in the past few decades, considerable efforts have been made by SCI researchers to elucidate the pathophysiology of SCI and unravel the underlying cellular and molecular mechanisms of tissue degeneration and repair in the injured spinal cord. To this end, a number of preclinical animal and injury models have been developed to more closely recapitulate the primary and secondary injury processes of SCI. In this review, we will provide a comprehensive overview of the recent advances in our understanding of the pathophysiology of SCI. We will also discuss the neurological outcomes of human SCI and the available experimental model systems that have been employed to identify SCI mechanisms and develop therapeutic strategies for this condition.
To What Extent Current Limits of Phylogenomics Can Be Overcome

Current phylogenomic methods are still a long way from implementing a realistic genome evolution model. An ideal approach would require a general joint analysis of genomic sequences, while including coding sequence annotation, protein evolution or gene transfer, among other mechanisms , to infer the complete evolutionary history of the studied genomes. Such an approach is computationally intractable and currently approximated by phylogenomic pipelines that implement a series of independent steps ranging from gene annotation to species tree inference or positive selection detection. Here we review the virtues and limits of current phylogenomic methods compared to what could be expected from an ideal method. We present five case studies to illustrate various issues and limits in current phylogenomic practices, while assessing their relative importance. We argue that data error is pervasive in modern datasets and models are still too simplistic compared to the complexity of biological and evolutionary processes. Importantly , joint analyses should be a research focus as the many steps of phylogenomic pipelines are not mutually independent. It is essential to recognize the hidden assumptions of the many types of analysis available to our community so as to circumvent model misspecifications and critically evaluate the relevance of their results. In conclusion, the quality of datasets should be enhanced via numerous, rigorous checkpoints, while also boosting the capability of models to handle biological complexity by the development of better models, particularly through joint analyses.
Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings

In this paper, we present Russian language datasets in the digital humanities domain for the evaluation of word embedding techniques or similar language modeling and feature learning algorithms. The datasets are split into two task types, word intrusion and word analogy, and contain 31362 task units in total. The characteristics of the tasks and datasets are that they build upon small, domain-specific corpora, and that the datasets contain a high number of named entities. The datasets were created manually for two fantasy novel book series ("A Song of Ice and Fire" and "Harry Potter"). We provide baseline evaluations with popular word embedding models trained on the book corpora for the given tasks, both for the Russian and English language versions of the datasets. Finally, we compare and analyze the results and discuss specifics of Russian language with regards to the problem setting.
Food insecurity status of the working poor households in south west Nigeria

PurposeThe purpose of this paper is to examine the factors influencing the food insecurity status of the working poor households in south west Nigeria.Design/methodology/approachInternational Labour Organisation poverty line, Household Food Insecurity Access Scale as well as the Ordered Logit model were used to identify the factors influencing the food insecurity status of the working poor households in south west Nigeria.FindingsThe study revealed that more than half of the respondents were working poor households, with more than four-fifths of them being food insecure. Income irregularity, savings and level of education had major roles to play in the food insecurity status of working poor households.Social implicationsEmployment has always been considered as a route out of poverty and food insecurity. However, the intensity of poverty among working households should be considered in the design and development of policy and programmes, targeted towards workers. Laws should protect the right of workers against non-payment of salaries, advantages of family planning should be emphasised, social security allowance should be provided to serve as an alternative source of income during emergencies and more investment made in education.Originality/valueThis paper attempts to bridge the knowledge gap in the empirical link between employment, poverty and food insecurity. Particularly, its application to the working households.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2019-0589
A cold stellar stream in Pegasus

We report the serendipitous discovery of a stellar stream in the constellation Pegasus in the south Galactic hemisphere. The stellar stream was detected using the SDSS Data Release 14 by means of a matched filter in the color--magnitude diagram that is optimised for a stellar population that is 8 Gyr old with [Fe/H] = $-$0.46 dex, and located at heliocentric distance of 18 kpc. The candidate stream is faint (turnoff point at $r_0 \sim$ 19.6), sparse and barely visible in SDSS photometry. It is also detected in the (shallower) Pan-STARRs data. The residual stellar density in the $(u-g)_0$, $(g-r)_0$ color--color diagram gives the same estimate for the age and [Fe/H] of this stellar population. The stream is located at a Galactic coordinates $(l,b) = (79.4,-24.6)$ and extends over 9$^\circ$ (2.5 kpc), with a width of 112 pc. The narrow width suggests a globular cluster progenitor.
Behavior of Lasso and Lasso-based inference under limited variability

We study the nonasymptotic behavior of Lasso and Lasso-based inference when the covariates exhibit limited variability, which does not appear to have been considered in the literature, despite its prevalence in applied research. In settings that are generally considered favorable to Lasso, we show that, if the absolute value of a nonzero regression coefficient is smaller or equal to a threshold, Lasso fails to select the corresponding covariate with high probability (approaching to 1 asymptotically). In particular, limited variability can render Lasso unable to select even those covariates with coefficients that are well-separated from zero. Moreover, based on simple theoretical examples, we show that post double Lasso and debiased Lasso can exhibit size distortions under limited variability. Monte Carlo simulations corroborate our theoretical results and further demonstrate that, under limited variability, the performance of Lasso and Lasso-based inference methods is very sensitive to the choice of the penalty parameter. This begs the question of how to make statistical inference (e.g., constructing confidence intervals) under limited variability. In moderately high-dimensional problems, where the number of covariates is large ∗Alphabetical ordering. Both authors contributed equally to this work. †Assistant Professor of Economics. Department of Economics, University of California, San Diego. kwuthrich@ucsd.edu ‡Assistant Professor of Statistics and Computer Science. Department of Statistics, Department of Computer Science, Purdue University, West Lafayette. yingzhu@purdue.edu 1 ar X iv :1 90 3. 08 70 4v 1 [ m at h. ST ] 2 0 M ar 2 01 9 but still smaller than the sample size, OLS constitutes a natural alternative to Lasso-based inference methods. In empirically relevant settings, our simulation results show that, under limited variability, OLS with recently developed standard errors, which are proven robust to many covariates, demonstrates a superior finite sample performance relative to Lasso-based inference methods.
Learning from Null Effects: A Bottom-Up Approach

Abstract A critical barrier to generating cumulative knowledge in political science and related disciplines is the inability of researchers to observe the results from the full set of research designs that scholars have conceptualized, implemented, and analyzed. For a variety of reasons, studies that produce null findings are especially likely to be unobserved, creating biases in publicly accessible research. While several approaches have been suggested to overcome this problem, none have yet proven adequate. We call for the establishment of a new discipline-wide norm in which scholars post short “null results reports” online that summarize their research designs, findings, and interpretations. To address the inevitable incentive problems that earlier proposals for reform were unable to overcome, we argue that decentralized research communities can spur the broader disciplinary norm change that would bring advantage to scientific advance. To facilitate our contribution, we offer a template for these reports that incorporates evaluation of the possible explanations for the null findings, including statistical power, measurement strategy, implementation issues, spillover/contamination, and flaws in theoretical priors. We illustrate the template’s utility with two experimental studies focused on the naturalization of immigrants in the United States and attitudes toward Syrian refugees in Jordan.
Dynamic Power Management for Neuromorphic Many-Core Systems

This paper presents a dynamic power management architecture for neuromorphic many-core systems, such as SpiNNaker. A fast dynamic voltage and frequency scaling (DVFS) technique is presented which allows the processing elements (PEs) to change their supply voltage and clock frequency individually and autonomously within less than 100 ns. This is employed by the neuromorphic simulation software flow, which defines the performance level (PL) of the PE based on the actual workload within each simulation cycle. A test chip in 28-nm SLP CMOS technology has been implemented. It includes four PEs which can be scaled from 0.7 to 1.0 V with frequencies from 125 to 500 MHz at three distinct PLs. By measurement of three neuromorphic benchmarks, it is shown that the total PE power consumption can be reduced by 75%, with 80% baseline power reduction and a 50% reduction of energy per neuron and synapse computation, all while maintaining temporary peak system performance to achieve biological real-time operation of the system. A numerical model of this power management model is derived which allows DVFS architecture exploration for neuromorphics. The proposed technique is to be used for the second-generation SpiNNaker neuromorphic many-core system.
Fc-Mediated Antibody Effector Functions During Respiratory Syncytial Virus Infection and Disease

Respiratory syncytial virus (RSV) is a major cause of severe lower respiratory tract infections and hospitalization in infants under 1 year of age and there is currently no market-approved vaccine available. For protection against infection, young children mainly depend on their innate immune system and maternal antibodies. Traditionally, antibody-mediated protection against viral infections is thought to be mediated by direct binding of antibodies to viral particles, resulting in virus neutralization. However, in the case of RSV, virus neutralization titers do not provide an adequate correlate of protection. The current lack of understanding of the mechanisms by which antibodies can protect against RSV infection and disease or, alternatively, contribute to disease severity, hampers the design of safe and effective vaccines against this virus. Importantly, neutralization is only one of many mechanisms by which antibodies can interfere with viral infection. Antibodies consist of two structural regions: a variable fragment (Fab) that mediates antigen binding and a constant fragment (Fc) that mediates downstream effector functions via its interaction with Fc-receptors on (innate) immune cells or with C1q, the recognition molecule of the complement system. The interaction with Fc-receptors can lead to killing of virus-infected cells through a variety of immune effector mechanisms, including antibody-dependent cell-mediated cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). Antibody-mediated complement activation may lead to complement-dependent cytotoxicity (CDC). In addition, both Fc-receptor interactions and complement activation can exert a broad range of immunomodulatory functions. Recent studies have emphasized the importance of Fc-mediated antibody effector functions in both protection and pathogenesis for various infectious agents. In this review article, we aim to provide a comprehensive overview of the current knowledge on Fc-mediated antibody effector functions in the context of RSV infection, discuss their potential role in establishing the balance between protection and pathogenesis, and point out important gaps in our understanding of these processes. Furthermore, we elaborate on the regulation of these effector functions on both the cellular and humoral side. Finally, we discuss the implications of Fc-mediated antibody effector functions for the rational design of safe and effective vaccines and monoclonal antibody therapies against RSV.
On a model of axisymmetric flows in a free boundary domain

We consider a model of axisymmetric flows for a free boundary vortex embedded in a statically stable fluid at rest. We identify the boundary of the vortex by solving a variational problem. Then, we reduce the analysis of the dynamics of the vortex to the study of a class of continuity equations for which we construct a solution.