Miracle-dz/UniFAR-FTUs huggingface dataset:
Needs and unmet needs for rehabilitation services: a scoping review

Abstract Background: There is a global demand for rehabilitation services but to date little attention has been paid to rehabilitation as part of the health agenda, especially in low- and middle-income countries. The objective of the scoping review was to get an overview of the needs and unmet needs for rehabilitation services described in the literature. Materials and methods: Electronic search was performed in PubMed and REHABDATA for studies published between 2000 and 2017. Results: Eighty-six articles met the inclusion criteria. Results revealed a profound need for rehabilitation among different user groups with non-communicable diseases and injuries across countries. However, this need considerably outstripped the provision of services, which left many people with substantial unmet needs for rehabilitation. The main reasons for the unmet needs for rehabilitation were the absence of or unequal geographical distribution of services within a country, lack of transportation, and unaffordability of the services. Conclusions: There are substantial unmet needs for rehabilitation and numerous barriers to accessing services. Efforts need to focus on building the capacity for rehabilitation research predominantly in low- and middle-income countries. The comprehensive data that this review provides is useful for raising awareness for the need of rehabilitation at policy level. Implications for rehabilitation There is a profound need for rehabilitation services due to the ageing population and growing prevalence of non-communicable diseases. This scoping review shows that the need for rehabilitation considerably outstrips the provision of services. There are substantial unmet needs for rehabilitation and numerous barriers to accessing services. Concerted global action to scale up quality rehabilitation services is needed, especially in low- and middle-income countries.
Secure Mobile-Phone Based Visible Light Communications With Different Noise-Ratio Light-Panel

We propose and demonstrate a visible light communication (VLC) system using a light-panel and a mobile-phone camera. We also propose the rolling-shutter-effect (RSE) pattern synchronization and demodulation algorithms. By using our developed mobile-phone application program, the RSE pattern can be demodulated even at very low illuminance. As the light-panel will have different advertisements on it, we also define a noise-ratio (NR) as the figure-of-merit; hence, different VLC data rates can be adjusted according to different advertisement NR values. Experimental bit error rate measurements at different free-space transmission distances and different NRs are performed.
Machine-Learning Approach in Detection and Classification for Defects in TSV-Based 3-D IC

A through-silicon via (TSV) is a conducting copper nail, which provides an electrical connection through a substrate, and is expected to be used extensively to provide high-speed interconnects between the top and bottom of an active die. However, some TSV structural defects such as pinholes and voids are difficult to capture as they commonly affect TSV performance parameters rather than TSV logical function. In order to electrically detect failures, it is necessary to study and analyze electrical characteristics of defects in advance. Testing TSV interconnects for manufacturing defects poses major challenges, and new design-for-test techniques are needed. Here, a novel nondestructive defect detection method using machine learning (ML) is proposed in order to detect void, short, and open defects in TSV-based 3-D ICs. A supervised ML approach is used to build a classification model from training S-parameter data sets containing the defected TSV and the normal TSV. The performance of the random forest classifier is tested for various amounts of void, short, and open defects in TSV-based 3-D-stacked ICs with satisfactory results.
Multiple endpoint analysis of the 3D-reconstituted corneal epithelium after treatment with benzalkonium chloride: early detection of toxic damage.

PURPOSE To investigate the effects of benzalkonium chloride (BAK) on the human reconstituted corneal epithelial model (HCE) and to optimize the operating potential of this model in the field of ophthalmic toxicology. METHODS The HCEs were treated with 0.001% to 0.5% BAK for 24 hours followed or not by a 24-hour postincubation period. To complete the histologic analysis, the authors designed a new MTT procedure to assess cellular viability. Frozen sections were analyzed by using fluorescence confocal microscopy for the presence of TUNEL, activated caspase-3, Ki67, ICAM-1, HLA-DR, E-cadherin, and occludin. Occludin gene expression was also investigated by using quantitative RT-PCR. RESULTS The MTT test revealed a dose-dependent response of BAK with significant toxic effects for concentrations as low as 0.005%. Increasing BAK concentrations induced an increased number of apoptotic cells, found from the superficial to the deeper layers, with the activation of caspase-3 at 0.01% and 0.02% concentrations. The number of Ki67- and ICAM-1-positive cells increased with 0.01% BAK and with 0.001% to 0.01% BAK, respectively. BAK induced the dose-dependent disappearance of occludin in the superficial layers while increasing its gene expression up to the 0.02% BAK concentration. CONCLUSIONS Fluorescence techniques conjugated with confocal microscopy on 3D-reconstructed corneal epithelia were well suited for the investigation of toxicological markers such as cell junction alteration, apoptosis, cell activation, and proliferation and gave relevant results compared with the known human data. They complement the new sensitive MTT test and improve the operating potential of this new, valuable 3D model in ophthalmic toxicology.
Factors Associated With Orthopedic Aftercare in a Publicly Insured Pediatric Emergency Department Population

Objectives Children with public insurance are less likely than children with private insurance to obtain follow-up care after emergency department (ED) care. This study aimed to determine if specific demographic and clinical factors are associated with aftercare compliance in a population of publicly insured pediatric ED patients with orthopedic injuries. Methods This was a retrospective case-control study of Washington, DC, children aged 0 to 17 years with public insurance discharged with isolated forearm fractures from the Children’s National Medical Center ED from 2003 to 2006. Bivariable analyses and multivariable logistic regression were performed to measure the association between sociodemographic variables and failure to follow up. Results Six hundred children met the inclusion criteria. The overall cohort was 63.7% male and 81.7% African American, with a mean age of 8.8 (SE, 0.2) years. Overall, 85.7% of patients went to a follow-up orthopedic appointment, and 68.2% of patients had timely orthopedic follow-up, defined as 14 days or less after discharge from the ED. Treatment with orthopedic reduction (adjusted odds ratio [OR], 2.0 [1.33–2.93]) was positively associated with timely orthopedic follow-up, whereas older age (adjusted OR, 0.9 [0.88–0.97]) was significantly associated with failure to follow up. In the subset of patients who required orthopedic reduction in the ED, older age was significantly associated with failure to follow up (adjusted OR, 0.80 [0.74–0.94]). Conclusions Mild fracture severity is associated with lack of orthopedic follow-up for patients with public insurance. Older age was associated with lack of follow-up, even in the subgroup with severe fractures. Targeted interventions to improve orthopedic aftercare compliance should focus on older patients with severe forearm fractures.
Distributed Attitude Control for Multispacecraft via Takagi–Sugeno Fuzzy Approach

This paper investigates the problem of distributed attitude control for spacecraft formation flying systems based on the Takagi–Sugeno (T–S) fuzzy modeling method, where external disturbances and parameter uncertainties are considered. The spacecraft attitude dynamics is constructed as T–S fuzzy model and a modified distributed fuzzy-based <inline-formula><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> controller is designed. It is proven that the attitude of multispacecraft can synchronously reach zero by using the designed controller. Numerical examples are provided to illustrate the effectiveness of the proposed controller and comparisons with the existing results.
Urinary methylmalonic acid to detect vitamin B12 deficiency.

To the Editor. —In a recent Questions and Answers section, Dr Upshaw 1 asked which test to use to establish true functional vitamin B 12 deficiency. Dr Carmel, in reply, suggested the serum methylmalonic acid (MMA) assay noting, however, its limitations of expense and specificity. Recently, a review article on this subject recommended the urinary MMA test by gas chromatography mass spectrometry. 2 Physicians should be aware of the advantages of the urinary MMA assay. 3 The test is noninvasive and requires only a random spot urine specimen. Unlike serum MMA results, urinary MMA values are normalized to creatinine levels correcting for renal insufficiency and dehydration. The urine test is available for $50, which is considerably less expensive than the serum assay. The urinary MMA test by gas chromatography mass spectrometry provides physicians with a convenient means to detect vitamin B 12 —deficient individuals early, allowing intervention to prevent permanent
RNA-Binding Protein Musashi1 Modulates Glioma Cell Growth through the Post-Transcriptional Regulation of Notch and PI3 Kinase/Akt Signaling Pathways

Musashi1 (MSI1) is an RNA-binding protein that plays critical roles in nervous-system development and stem-cell self-renewal. Here, we examined its role in the progression of glioma. Short hairpin RNA (shRNA)-based MSI1-knock down (KD) in glioblastoma and medulloblastoma cells resulted in a significantly lower number of self renewing colony on day 30 (a 65% reduction), compared with non-silencing shRNA-treated control cells, indicative of an inhibitory effect of MSI1-KD on tumor cell growth and survival. Immunocytochemical staining of the MSI1-KD glioblastoma cells indicated that they ectopically expressed metaphase markers. In addition, a 2.2-fold increase in the number of MSI1-KD cells in the G2/M phase was observed. Thus, MSI1-KD caused the prolongation of mitosis and reduced the cell survival, although the expression of activated Caspase-3 was unaltered. We further showed that MSI1-KD glioblastoma cells xenografted into the brains of NOD/SCID mice formed tumors that were 96.6% smaller, as measured by a bioluminescence imaging system (BLI), than non-KD cells, and the host survival was longer (49.3±6.1 days vs. 33.6±3.6 days; P<0.01). These findings and other cell biological analyses suggested that the reduction of MSI1 in glioma cells prolonged the cell cycle by inducing the accumulation of Cyclin B1. Furthermore, MSI1-KD reduced the activities of the Notch and PI3 kinase-Akt signaling pathways, through the up-regulation of Numb and PTEN, respectively. Exposure of glioma cells to chemical inhibitors of these pathways reduced the number of spheres and living cells, as did MSI1-KD. These results suggest that MSI1 increases the growth and/or survival of certain types of glioma cells by promoting the activation of both Notch and PI3 kinase/Akt signaling.
Model-based Concept Development and Safety Driven Design

This paper outlines a new approach for safety-driven concept development based on the systems-theoretic accident model and process. Compared to traditional approaches, this model captures more types of accident causes prevalent in modern systems. In addition, the model emphasizes functional behavior in addition to physical behavior, which makes it a promising candidate for use during early system development stages. The new approach represents an extension of the accident causality model that allows stakeholders to systematically develop a model of a concept and then query the model to identify potential vulnerabilities and mitigation strategies.
Accelerated Stochastic Power Iteration

Principal component analysis (PCA) is one of the most powerful tools in machine learning. The simplest method for PCA, the power iteration, requires O ( 1 / Δ ) full-data passes to recover the principal component of a matrix with eigen-gap Δ. Lanczos, a significantly more complex method, achieves an accelerated rate of O ( 1 / Δ ) passes. Modern applications, however, motivate methods that only ingest a subset of available data, known as the stochastic setting. In the online stochastic setting, simple algorithms like Oja's iteration achieve the optimal sample complexity O ( σ 2 / Δ 2 ) . Unfortunately, they are fully sequential, and also require O ( σ 2 / Δ 2 ) iterations, far from the O ( 1 / Δ ) rate of Lanczos. We propose a simple variant of the power iteration with an added momentum term, that achieves both the optimal sample and iteration complexity. In the full-pass setting, standard analysis shows that momentum achieves the accelerated rate, O ( 1 / Δ ) . We demonstrate empirically that naively applying momentum to a stochastic method, does not result in acceleration. We perform a novel, tight variance analysis that reveals the "breaking-point variance" beyond which this acceleration does not occur. By combining this insight with modern variance reduction techniques, we construct stochastic PCA algorithms, for the online and offline setting, that achieve an accelerated iteration complexity O ( 1 / Δ ) . Due to the embarassingly parallel nature of our methods, this acceleration translates directly to wall-clock time if deployed in a parallel environment. Our approach is very general, and applies to many non-convex optimization problems that can now be accelerated using the same technique.
Weighted Critical Path Routing Protocol for Mobile Ad-hoc Networks

Designing a routing protocol that can adapt to the changes in the underlying network conditions, as well as incorporating a minimum overhead is a challenging task for ad-hoc networks. In this paper, we present the Weighted Critical Path Routing (WCPR) protocol that strives to incorporate the merits of reactive and proactive ad hoc routing schemes. The aim of our work is to achieve low latency between highly active pairs of nodes, thus increasing the overall performance of the network without dramatically increasing the routing overhead. The genuine aspect of WCPR is that it initially starts-off as a conventional reactive Dynamic Source Routing (DSR) protocol. The network traffic is monitored in attempt to gradually discover pairs of highly interactive nodes in the network. Critical Paths are then constructed between these pairs of nodes and proactively safe guarded. The established CPs are treated differently depending on the amount of traffic consumed by each. WCPR is evaluated through simulation experiments and proved to outperform DSR in terms of delay with minimal increase in overhead.
Datamonkey 2.0: a modern web application for characterizing selective and other evolutionary processes.

Inference of how evolutionary forces have shaped extant genetic diversity is a cornerstone of modern comparative sequence analysis. Advances in sequence generation and increased statistical sophistication of relevant methods now allow researchers to extract ever more evolutionary signal from the data, albeit at an increased computational cost. Here, we announce the release of Datamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data. For this endeavor, we leveraged recent developments in open-source libraries that facilitate interactive, robust, and scalable web application development. Datamonkey 2.0 provides a carefully curated collection of methods for interrogating coding-sequence alignments for imprints of natural selection, packaged as a responsive (i.e. can be viewed on tablet and mobile devices), fully interactive, and API-enabled web application. To complement Datamonkey 2.0, we additionally release HyPhy Vision, an accompanying JavaScript application for visualizing analysis results. HyPhy Vision can also be used separately from Datamonkey 2.0 to visualize locally-executed HyPhy analyses. Together, Datamonkey 2.0 and HyPhy Vision showcase how scientific software development can benefit from general-purpose open-source frameworks. Datamonkey 2.0 is freely and publicly available at http://www.datamonkey. org, and the underlying codebase is available from https://github.com/veg/datamonkey-js.
Collaborative Filtering Based on Content Addressing

Collaborative Filtering (CF) is one of the most popular recommendation techniques. It is based on the assumption that users with similar tastes prefer similar items. One of the major drawbacks of the CF is its limited scalability, as the complexity of the CF grows linearly both with the number of available users and items. This work proposes a new fast variant of the CF employed over multi-dimensional contentaddressable space. Our approach heuristically decreases the computational effort required by the CF algorithm by limiting the search process only to potentially similar users. Experimental results demonstrate that our approach is capable of generate recommendations with high levels of accuracy, while significantly improving performance in comparison with the traditional implementation of the CF.
Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data

To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis (PCA). We show that the common FST index of genetic differentiation between populations can be viewed as the proportion of variance explained by the principal components. Considering the correlations between genetic variants and each principal component provides a conceptual framework to detect genetic variants involved in local adaptation without any prior definition of populations. To validate the PCA-based approach, we consider the 1000 Genomes data (phase 1) considering 850 individuals coming from Africa, Asia, and Europe. The number of genetic variants is of the order of 36 millions obtained with a low-coverage sequencing depth (3×). The correlations between genetic variation and each principal component provide well-known targets for positive selection (EDAR, SLC24A5, SLC45A2, DARC), and also new candidate genes (APPBPP2, TP1A1, RTTN, KCNMA, MYO5C) and noncoding RNAs. In addition to identifying genes involved in biological adaptation, we identify two biological pathways involved in polygenic adaptation that are related to the innate immune system (beta defensins) and to lipid metabolism (fatty acid omega oxidation). An additional analysis of European data shows that a genome scan based on PCA retrieves classical examples of local adaptation even when there are no well-defined populations. PCA-based statistics, implemented in the PCAdapt R package and the PCAdapt fast open-source software, retrieve well-known signals of human adaptation, which is encouraging for future whole-genome sequencing project, especially when defining populations is difficult.
An Experimental Study to Evaluate the Impact of the Programming Paradigm in the Testing Activity

Several techniques and criteria are available to help conducting testing activity. The choice for one of them depends on dierent aspects, such as the time restrictions, effectiveness of the testing criteria or the features of the program under test. In this context, the programming paradigm might inuence in the testing activity cost. This paper presents the results of an experimental study to characterize and evaluate the cost and strength of structural and functional testing criteria, comparing object-oriented and procedural programming paradigms. A set of 32 programs from the data structure domain was considered in this study. The main goals in the execution of this research were: i) to obtain initial results about the investigated questions; ii) to generate artifacts which can be used as basis to dene and conduct further experimental studies; iii) to support training and teaching of software testing activity.
Granulocyte-colony–stimulating factor (G-CSF) signaling in spinal microglia drives visceral sensitization following colitis

Significance Visceral pain is a debilitating type of pain that afflicts adults and children. Major challenges exist in developing analgesics due to the limited understanding of the mechanisms that mediate visceral nociception. Using a model of colitis, we have identified the granulocyte-colony–stimulating factor (G-CSF) as an essential mediator of central sensitization that leads to visceral hypersensitivity, even after the resolution of inflammation. We demonstrate that G-CSF acting on spinal microglia activates a signaling platform that causes hyperexcitability of sensory neurons. We found that ablating microglia or blocking the G-CSF receptor prevents visceral sensitization. Our work establishes a microglial signaling mechanism in the transition to chronic visceral pain and likely other forms of persistent pain associated with chronic inflammatory diseases. Pain is a main symptom of inflammatory diseases and often persists beyond clinical remission. Although we have a good understanding of the mechanisms of sensitization at the periphery during inflammation, little is known about the mediators that drive central sensitization. Recent reports have identified hematopoietic colony-stimulating factors as important regulators of tumor- and nerve injury-associated pain. Using a mouse model of colitis, we identify the proinflammatory cytokine granulocyte-colony–stimulating factor (G-CSF or Csf-3) as a key mediator of visceral sensitization. We report that G-CSF is specifically up-regulated in the thoracolumbar spinal cord of colitis-affected mice. Our results show that resident spinal microglia express the G-CSF receptor and that G-CSF signaling mediates microglial activation following colitis. Furthermore, healthy mice subjected to intrathecal injection of G-CSF exhibit pronounced visceral hypersensitivity, an effect that is abolished by microglial depletion. Mechanistically, we demonstrate that G-CSF injection increases Cathepsin S activity in spinal cord tissues. When cocultured with microglia BV-2 cells exposed to G-CSF, dorsal root ganglion (DRG) nociceptors become hyperexcitable. Blocking CX3CR1 or nitric oxide production during G-CSF treatment reduces excitability and G-CSF–induced visceral pain in vivo. Finally, administration of G-CSF–neutralizing antibody can prevent the establishment of persistent visceral pain postcolitis. Overall, our work uncovers a DRG neuron–microglia interaction that responds to G-CSF by engaging Cathepsin S-CX3CR1-inducible NOS signaling. This interaction represents a central step in visceral sensitization following colonic inflammation, thereby identifying spinal G-CSF as a target for treating chronic abdominal pain.