Miracle-dz/UniFAR-FTUs huggingface dataset:
Suppression of somatosensory stimuli during motor planning may explain levels of balance and mobility after stroke

The ability to actively suppress, or gate, irrelevant sensory information is required for safe and efficient walking in sensory‐rich environments. Both motor attention and motor planning alter somatosensory evoked potentials (SEPs) in healthy adults. This study's aim was to examine the effect of motor attention on processing of irrelevant somatosensory information during plantar flexion motor planning after stroke. Thirteen healthy older adults and 11 individuals with stroke participated. Irrelevant tibial nerve stimulation was delivered while SEPs were recorded over Cz, overlaying the leg portion of the sensorimotor cortex at the vertex of the head. Three conditions were tested in both legs: (1) Rest, (2) Attend To, and (3) Attend Away from the stimulated limb. In conditions 2 and 3, relevant vibration cued voluntary plantar flexion movements of the stimulated (Attend To) or non‐stimulated (Attend Away) leg. SEP amplitudes were averaged during motor planning per condition. Individuals with stroke did not show attention‐mediated gating of the N40 component associated with irrelevant somatosensory information during motor planning. It may be that dysfunction in pathways connecting to area 3b explains the lack of attention‐mediated gating of the N40. Also, attention‐mediated gating during motor planning explained significant and unique variance in a measure of community balance and mobility combined with response time. Thus, the ability to gate irrelevant somatosensory information appears important for stepping in both older adults and after stroke. Our data suggest that therapies that direct motor attention could positively impact walking after stroke.
Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter

There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because of their sparseness, cannot provide sufficient spatial-temporal measurements characteristic of ambient PM. Recent studies have shown portable low-cost devices (e.g., optical particle counters, OPCs) can help address this issue; however, their application under ambient conditions can be affected by high relative humidity (RH) conditions. Here, we show how, by exploiting the measured particle size distribution information rather than PM as has been suggested elsewhere, a correction can be derived which not only significantly improves sensor performance but which also retains fundamental information on particle composition. A particle size distribution–based correction algorithm, founded on κ-Köhler theory, was developed to account for the influence of RH on sensor measurements. The application of the correction algorithm, which assumed physically reasonable κ values, resulted in a significant improvement, with the overestimation of PM measurements reduced from a factor of ~5 before correction to 1.05 after correction. We conclude that a correction based on particle size distribution, rather than PM mass, is required to properly account for RH effects and enable low cost optical PM sensors to provide reliable ambient PM measurements.
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions

Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translation research. In recent years, deep learning methods have achieved significant success in CNER tasks. However, these methods depend greatly on Recurrent Neural Networks (RNNs), which maintain a vector of hidden activations that are propagated through time, thus causing too much time to train models. In this paper, we propose a Residual Dilated Convolutional Neural Network with Conditional Random Field (RD-CNN-CRF) to solve it. Specifically, Chinese characters and dictionary features are first projected into dense vector representations, then they are fed into the residual dilated convolutional neural network to capture contextual features. Finally, a conditional random field is employed to capture dependencies between neighboring tags. Computational results on the CCKS-2017 Task 2 benchmark dataset show that our proposed RD-CNN-CRF method competes favorably with state-of-the-art RNN-based methods both in terms of computational performance and training time.
Word Sense Induction with Neural biLM and Symmetric Patterns

An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substitute vectors. We replace the ngram-based language model (LM) with a recurrent one. Beyond being more accurate, the use of the recurrent LM allows us to effectively query it in a creative way, using what we call dynamic symmetric patterns. The combination of the RNN-LM and the dynamic symmetric patterns results in strong substitute vectors for WSI, allowing to surpass the current state-of-the-art on the SemEval 2013 WSI shared task by a large margin.
Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space

Brain-Computer Interface (BCI) is a rapidly developing technology that aims to support individuals suffering from various disabilities and, ultimately, improve everyday quality of life. Sensorimotor rhythm-based BCIs have demonstrated remarkable results in controlling virtual or physical external devices but they still face a number of challenges and limitations. Main challenges include multiple degrees-of-freedom control, accuracy, and robustness. In this work, we develop a multiclass BCI decoding algorithm that uses electroencephalography (EEG) source imaging, a technique that maps scalp potentials to cortical activations, to compensate for low spatial resolution of EEG. Spatial features were extracted using Common Spatial Pattern (CSP) filters in the cortical source space from a number of selected Regions of Interest (ROIs). Classification was performed through an ensemble model, based on individual ROI classification models. The evaluation was performed on the BCI Competition IV dataset 2a, which features 4 motor imagery classes from 9 participants. Our results revealed a mean accuracy increase of 5.6% with respect to the conventional application method of CSP on sensors. Neuroanatomical constraints and prior neurophysiological knowledge play an important role in developing source space-based BCI algorithms. Feature selection and classifier characteristics of our implementation will be explored to raise performance to current state-of-the-art.
Satisfacción residencial. Una aproximación psicosocial a los estudios de calidad de vida

Este trabajo se enmarca dentro de una problematica de caracter general que hace referencia a la calidad de vida de los individuos. El estudio de la satisfaccion residencial, como un requisito esencial de la calidad de vida, es abordado desde una prerspectiva spicosocial; en concreto, partiendo de una orientacion actitudinal. De esta forma, y siguiendo la tradicion documental sobre esta tematica, se presneta un modelo sistemico de satisfacion residencial en el que esta quedaria definida como el resultado de un proceso por el cual ciertos atributos objetivos del ambiente residencial son evaluados por el individuo. El resultado de tal evaluacion, es decir, la satisfaccion residencial, es un estado afectivo de caracter positivo que el individuo posee hacia su ambiente residencial, y que le llevara a desarrollar determinadas conductas destinadas a mantener o elevar la congruencia con el mismo. Partiendo de tres submuestras de sujetos residentes en viviendas adjudicadas y de una submuestra de residentes en viviendas privadas, a los que se les aplico varias pruebas relativas a la calidad residencial, se abordo que se esta trabajando en la direccion adecuada. Asimismo, ponen de manifiesto la dificultad que entrana la comprobacion empirica de ciertos procesos que tienen lugar en la evaluacion del entorno residencial, planteado, por otra parte, algunas cuestiones que implican lineas futuras de investigacion. En sintesis, este trabajo ha profundizado en un area novel en este pais como es el estudio de la calidad residencia a traves de un concepto de caracter actitudinal: la satisfaccion residencial.
Is ibrutinib associated with disseminated cryptococcosis with CNS involvement?

ABSTRACT Chronic lymphocytic leukemia (CLL) is a disorder of B cells that affects humoral as well as cell-mediated immunity. Protection against cryptococcal infections is mounted by an intricate and synchronized interplay of both integral arms of immunity. Whether CLL or small molecule tyrosine kinase inhibitors are independently predisposing hosts to cryptococcal infections remain to be explored. Herein, we present a report of a patient who developed disseminated cryptococcosis while receiving ibrutinib therapy for CLL in the salvage setting. We further present relevant literature available thus far on the topic and discuss immunologic mechanisms that may be involved in the fungal pathogenesis in such patients.
Atherosclerosis, Hypertension, and Diabetes in Alzheimer's Disease, Vascular Dementia, and Mixed Dementia: Prevalence and Presentation.

BACKGROUND Alzheimer's disease (AD) is the most prevalent cause of dementia with vascular dementia (VaD) being second alongside with mixed AD and VaD, according to some. For some time, it has been proposed that cardiovascular disease (CaVD), hypertension, and diabetes mellitus (DM), which are known risk factors for VaD, also are associated with and contribute to the development of AD. OBJECTIVE The aim of this study was to investigate the prevalence of these proposed general risk factors, and to document presence of CaVD as evidenced from clinical records or from autopsy findings, further to correlate these with the diagnoses AD, VaD and mixed AD-VaD (MD), respectively. METHODS Autopsy reports at the Clinical Department of Pathology in Lund from 1992-2017 were analyzed. All cases with a complete autopsy report and a neuropathologically diagnosed dementia disorder (AD, VaD, or MD) were selected on the condition of a clinical diagnosis of dementia. Clinical data were retrieved through medical records and the Swedish National Diabetes Register (NDR). A total of 268 subjects were included. RESULTS In AD, there was less CaVD as significantly less organ/tissue findings (p < 0.05), significantly less hypertension (p < 0.001), and likewise significantly less DM (p = 0.0014) than in VaD, with the MD group results being set between these two in all aspects studied. CONCLUSION AD and VaD exhibit such different profiles of organ and vascular damage as well as of hypertension and DM that they clearly point toward different pathogenic origin with low likelihood of shared risk factors.
Clinical Experience with Cerebrospinal Fluid Aβ42, Total and Phosphorylated Tau in the Evaluation of 1,016 Individuals for Suspected Dementia

Background: Elevated total tau (tTau), 181-phosphorylated phosphorylated tau (pTau), and low amyloid-β42 (Aβ42) in cerebrospinal fluid (CSF) represent a diagnostic biomarker for Alzheimer’s disease (AD). Objective: The goal was to determine the overall accuracy of CSF Aβ42, tTau, pTau, and the Aβ42/total tau index (ATI) in a non-research, clinical setting for the diagnosis of AD. Methods: From medical records in 1,016 patients that had CSF studies for dementia over a 12-year period (2005 to 2017), we calculated the sensitivity and specificity of CSF Aβ42, tTau, and pTau and the ATI in relation to the final clinical diagnosis. Results: Compared with non-demented patients and patients with other dementias or mild cognitive impairment (MCI), the sensitivity and specificity of the recommended ATI and pTau cut-offs (ATI < 1.0 and pTau >61 pg/ml) for the diagnosis of AD were 0.88 and 0.72, respectively. Similar results were obtained comparing AD with non-demented patients only (0.88, 0.82) and AD with other types of dementia (0.81, 0.77). A subgroup of patients with presumed normal pressure hydrocephalus (n = 154) were biopsied at the time of shunt placement. Using the pathological manifestations of AD as the standard, the sensitivity was 0.83 while the specificity was 0.72. Conclusions: In a non-research setting, CSF biomarkers for AD showed a high sensitivity in accordance with previous studies, but modest specificity differentiating AD from other types of dementia or MCI. This study of unselected patients provides a valid and realistic assessment of the diagnostic accuracy of these CSF biomarkers in clinical practice.
Activation of the Nuclear Erythroid 2-Related Factor 2 Antioxidant Responsive Element (Nrf2-ARE) Signaling Pathway Alleviates Acute Graft-Versus-Host Disease by Reducing Oxidative Stress and Inhibiting Infiltration of Inflammatory Cells in an Allogeneic Stem Cell Transplantation Mouse Model

Background Acute graft-versus-host disease (aGVHD) limits the wider application of hematopoietic stem cell transplantation (HSCT). We explored the relationship between the Nrf2-ARE signaling pathway and aGVHD and identified effective and efficient therapeutic targets for the prevention and management of aGVHD following HSCT. Material/Methods C57BL/6 and BALB/c mice were used to establish the aGVHD model. The bone marrow and spleen mononuclear cells were separated from the donor mice and injected into the caudal vein of recipient mice that had undergone total body irradiation (TBI, 8 Gy). Sulforaphane (SFN) was used to activate the Nrf2-ARE signaling pathway. Results The long-term survival rate of the SFN group was higher than that of the control group (40% vs. 0%, p<0.05, n=10). There were worse pathological changes and a greater infiltration of inflammatory cells in the liver, small intestine, and lung tissues of the control group. Furthermore, the Nrf2, NQO1, and HO-1 mRNA and protein levels were higher in the small intestines of the SFN group than in the control group (p<0.05, n=4). Conclusions The Nrf2-ARE signaling pathway plays a vital role in preventing aGVHD in an HSCT mouse model by regulating the expression of the downstream antioxidant genes NQO1 and HO-1 and by inhibiting the local inflammatory reaction.
Type II NKT Cells: An Elusive Population With Immunoregulatory Properties

Natural killer T (NKT) cells are unique unconventional T cells that are reactive to lipid antigens presented on the non-polymorphic major histocompatibility class (MHC) I-like molecule CD1d. They have characteristics of both innate and adaptive immune cells, and have potent immunoregulatory roles in tumor immunity, autoimmunity, and infectious diseases. Based on their T cell receptor (TCR) expression, NKT cells are divided into two subsets, type I NKT cells with an invariant TCRα-chain (Vα24 in humans, Vα14 in mice) and type II NKT cells with diverse TCRs. While type I NKT cells are well-studied, knowledge about type II NKT cells is still limited, and it is to date only possible to identify subsets of this population. However, recent advances have shown that both type I and type II NKT cells play important roles in many inflammatory situations, and can sometimes regulate the functions of each other. Type II NKT cells can be both protective and pathogenic. Here, we review current knowledge on type II NKT cells and their functions in different disease settings and how these cells can influence immunological outcomes.
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems

Spatiotemporal problems are ubiquitous and of vital importance in many research fields. Despite the potential already demonstrated by deep learning methods in modeling spatiotemporal data, typical approaches tend to focus solely on conditional expectations of the output variables being modeled. In this article, we propose a multioutput multiquantile deep learning approach for jointly modeling several conditional quantiles together with the conditional expectation as a way to provide a more complete “picture” of the predictive density in spatiotemporal problems. Using two large-scale data sets from the transportation domain, we empirically demonstrate that, by approaching the quantile regression problem from a multitask learning perspective, it is possible to solve the embarrassing quantile crossings problem while simultaneously significantly outperforming state-of-the-art quantile regression methods. Moreover, we show that jointly modeling the mean and several conditional quantiles not only provides a rich description about the predictive density that can capture heteroscedastic properties at a neglectable computational overhead but also leads to improved predictions of the conditional expectation due to the extra information and the regularization effect induced by the added quantiles.
Temporary screw epiphyseodesis of the first metatarsal for correction of juvenile hallux valgus

Purpose Juvenile hallux valgus deformity (JHVD) is rare but may be associated with symptoms or deformities that require surgical treatment. Literature recommends waiting to perform surgical treatment until maturity. However, if conservative treatment is not sufficient and the children's psychological or physical suffering is particularly severe, earlier surgical treatment should be considered. The aim of this study was to evaluate the safety and efficiency of temporary screw epiphyseodesis of the lateral epiphyseal plate of the first ray metatarsal as a new treatment option for JHVD during growth age. Methods Between June 2011 and November 2017, 33 patients (24 girls, nine boys; 59 feet) with a JHVD were treated by temporary screw epiphyseodesis of the lateral epiphyseal plate of the first ray metatarsal. At the time of surgery mean age was 11.1 years SD 1.4 (8 to 15). Patients were followed clinically and with standing, weight-bearing radiographs of the feet in two planes. Results In all, 22 patients (39 feet) were included into this study. Mean follow-up was 27.8 months SD 9.9 (12 to 58). The hallux valgus angle changed from 26.5° SD 6.6° preoperatively to 20.2° SD 6.2° (p < 0.001) at time of follow-up. The intermetatarsal angle changed from 14.1° SD 5.4° to 10.5° SD 2.9° during this time (p < 0.01). In two patients (three feet) the screws were removed before the JHVD was fully corrected due to local tenderness over the screw head. In two patients screw migration away from the growth plate was observed, resulting in no further deformity correction in one patient and increasing deformity in the other patient. No other complications were seen. Conclusion Temporary screw epiphyseodesis of the lateral epiphyseal plate of the first ray metatarsal seems to be an effective, safe, technically easy and minimally invasive early treatment option to correct JHVD in children with particularly severe suffering. Due to the individual correction rate, frequent follow-up visits are recommended until skeletal maturity. Level of Evidence IV
The Neighborhood Effect Averaging Problem (NEAP): An Elusive Confounder of the Neighborhood Effect

Ignoring people’s daily mobility and exposures to nonresidential contexts may lead to erroneous results in epidemiological studies of people’s exposures to and the health impact of environmental factors. This paper identifies and describes a phenomenon called neighborhood effect averaging, which may significantly confound the neighborhood effect as a result of such neglect when examining the health impact of mobility-dependent exposures (e.g., air pollution). Several recent studies that provide strong evidence for the neighborhood effect averaging problem (NEAP) are discussed. The paper concludes that, due to the observed attenuation of the neighborhood effect associated with people’s daily mobility, increasing the mobility of those who live in disadvantaged neighborhoods may be helpful for improving their health outcomes.
Universal groups of cellular automata

We prove that the group of reversible cellular automata (RCA), on any alphabet $A$, contains a perfect subgroup generated by six involutions which contains an isomorphic copy of every finitely-generated group of RCA on any alphabet $B$. This result follows from a case study of groups of RCA generated by symbol permutations and partial shifts with respect to a fixed full Cartesian product decomposition of the alphabet. For prime alphabets, we show that this group is virtually cyclic, and that for composite alphabets it is non-amenable. For alphabet size four, it is a linear group, while for non-prime non-four alphabets, it is not a subdirect product of linear groups. For all composite alphabets of size at least ten, the group contains copies of all finitely-generated groups of RCA. We also obtain that RCA of biradius one on all large enough alphabets generate copies of all finitely-generated groups of RCA. We ask a long list of questions.
Structure of the Cladosporium fulvum Avr4 effector in complex with (GlcNAc)6 reveals the ligand-binding mechanism and uncouples its intrinsic function from recognition by the Cf-4 resistance protein

Effectors are microbial-derived secreted proteins with an essential function in modulating host immunity during infections. CfAvr4, an effector protein from the tomato pathogen Cladosporium fulvum and the founding member of a fungal effector family, promotes parasitism through binding fungal chitin and protecting it from chitinases. Binding of Avr4 to chitin is mediated by a carbohydrate-binding module of family 14 (CBM14), an abundant CBM across all domains of life. To date, the structural basis of chitin-binding by Avr4 effector proteins and of recognition by the cognate Cf-4 plant immune receptor are still poorly understood. Using X-ray crystallography, we solved the crystal structure of CfAvr4 in complex with chitohexaose [(GlcNAc)6] at 1. 95Å resolution. This is the first co-crystal structure of a CBM14 protein together with its ligand that further reveals the molecular mechanism of (GlcNAc)6 binding by Avr4 effector proteins and CBM14 family members in general. The structure showed that two molecules of CfAvr4 interact through the ligand and form a three-dimensional molecular sandwich that encapsulates two (GlcNAc)6 molecules within the dimeric assembly. Contrary to previous assumptions made with other CBM14 members, the chitohexaose-binding domain (ChBD) extends to the entire length of CfAvr4 with the reducing end of (GlcNAc)6 positioned near the N-terminus and the non-reducing end at the C-terminus. Site-directed mutagenesis of residues interacting with (GlcNAc)6 enabled the elucidation of the precise topography and amino acid composition of Avr4’s ChBD and further showed that these residues do not individually mediate the recognition of CfAvr4 by the Cf-4 immune receptor. Instead, the studies highlighted the dependency of Cf-4-mediated recognition on CfAvr4’s stability and resistance against proteolysis in the leaf apoplast, and provided the evidence for structurally separating intrinsic function from immune receptor recognition in this effector family.