Miracle-dz/UniFAR-FTUs huggingface dataset:
Gait mechanics and tibiofemoral loading in men of the ACL‐SPORTS randomized control trial

The risk for post‐traumatic osteoarthritis is elevated after anterior cruciate ligament reconstruction (ACLR), and may be especially high among individuals with aberrant walking mechanics, such as medial tibiofemoral joint underloading 6 months postoperatively. Rehabilitation training programs have been proposed as one strategy to address aberrant gait mechanics. We developed the anterior cruciate ligament specialized post‐operative return‐to‐sports (ACL‐SPORTS) randomized control trial to test the effect of 10 post‐operative training sessions consisting of strength, agility, plyometric, and secondary prevention exercises (SAPP) or SAPP plus perturbation (SAPP + PERT) training on gait mechanics after ACLR. A total of 40 male athletes (age 23 ± 7 years) after primary ACLR were randomized to SAPP or SAPP + PERT training and tested at three distinct, post‐operative time points: 1) after impairment resolution (Pre‐training); 2) following 10 training sessions (Post‐training); and 3) 2 years after ACLR. Knee kinematic and kinetic variables as well as muscle and joint contact forces were calculated via inverse dynamics and a validated electromyography‐informed musculoskeletal model. There were no significant improvements from Pre‐training to Post‐training in either intervention group. Smaller peak knee flexion angles, extension moments, extensor muscle forces, medial compartment contact forces, and tibiofemoral contact forces were present across group and time, however the magnitude of interlimb differences were generally smaller and likely not meaningful 2 years postoperatively. Neither SAPP nor SAPP + PERT training appears effective at altering gait mechanics in men in the short‐term; however, meaningful gait asymmetries mostly resolved between post‐training and 2 years after ACLR regardless of intervention group. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2364–2372, 2018.
ShieldBox: Secure Middleboxes using Shielded Execution

Middleboxes that process confidential data cannot be securely deployed in untrusted cloud environments. To securely outsource middleboxes to the cloud, state-of-the-art systems advocate network processing over the encrypted traffic. Unfortunately, these systems support only restrictive functionalities, and incur prohibitively high overheads. This motivated the design of ShieldBox---a secure middlebox framework for deploying high-performance network functions (NFs) over untrusted commodity servers. ShieldBox securely processes encrypted traffic inside a secure container by leveraging shielded execution. More specifically, ShieldBox builds on hardware-assisted memory protection based on Intel SGX to provide strong confidentiality and integrity guarantees. For middlebox developers, ShieldBox exposes a generic interface based on Click to design and implement a wide-range of NFs using its out-of-the-box elements and C++ extensions. For network operators, ShieldBox provides configuration and attestation service for seamless and verifiable deployment of middleboxes. We have implemented ShieldBox supporting important end-to-end features required for secure network processing, and performance optimizations. Our extensive evaluation shows that ShieldBox achieves a near-native throughput and latency to securely process confidential data at line rate.
Comparing Learning Approaches to Coreference Resolution. There is More to it Than 'Bias'

On the basis of results on three coreference resolution data sets we show that when following current practice in comparing learning methods, we cannot reliably conclude much about their suitability for a given task. In an empirical study of the behavior of representatives of two machine learning paradigms, viz. lazy learning and rule induction on the task of coreference resolution we show that the initial differences between learning techniques are easily overruled when taking into account factors such as feature selection, algorithm parameter optimization, sample selection and their interaction. We propose genetic algorithms as an elegant method to overcome this costly optimization.
Effects of stabilization exercise using flexi-bar on functional disability and transverse abdominis thickness in patients with chronic low back pain

[Purpose] The purpose of this study is to examine the effects of lumbar stabilization exercises using flexi-bar (FB) on pain, functional disability, transverse abdominis muscle (TrA) activation capacity and thickness in patients with chronic low back pain (CLBP). [Subjects and Methods] Twenty-seven patients were randomly assigned to an experimental (14 patients performing stabilization exercises with flexi-bar (FB)) or control (13 patients performing stabilization exercises) group. The patients in both groups then underwent stabilization exercises with or without FB 30 min/day, 3 times a week, for 6 weeks. The main outcome measures were perceived disability based on the pain, Oswestry disability index (ODI), TrA activation capacity and thickness. [Results] Both groups showed improved ODI, VAS, and TrA activation capacity performed for 6 weeks in patients with CLBP, but all outcomes, except for TrA thickness, showed greater improvements in patients following stabilization exercises with FB than following stabilization exercises. [Conclusion] Based on the above results, lumbar stabilization exercises with FB could restoring pain, functional disability and improving TrA activation capacity in CLBP patients.
Evaluation of Functional Mobility Outcomes Following Electrical Stimulation in Children With Spastic Cerebral Palsy

This study investigated the clinical feasibility of electrical stimulation in enhancing ankle dorsiflexion of the tibialis anterior muscle to improve mobility in children with spastic cerebral palsy. The intervention group received electrical stimulation therapy for 30 minutes and physiotherapy for another 30 minutes for 5 days a week, up to 12 weeks. Gait parameters, Gross Motor Function Measure, Physiological Cost Index, surface electromyogram, and electroencephalogram (EEG) data were recorded pre- and posttreatment. Data were compared with the control group, which received only conventional physiotherapy for 60 minutes. There was an increase in walking speed (17.67%) and Gross Motor Function Measure scores (2.1%) while the Physiological Cost Index value was decreased (19.7%). The analysis of features extracted from the surface electromyogram showed an increase in muscle strength and that of EEG showed increased motor activities. Hence, electrical stimulation combined with conventional physiotherapy improve gait, muscle strength, and motor activities in children with spastic cerebral palsy.
Cellulosic Graphene Biocomposites for Versatile High‐Performance Flexible Electronic Applications

extrusion, addition of significant amounts of plasticizers is required (up to 30 wt%). [29,30] Hence, practically CA is not the most suitable material for the development of flexible and foldable bio-based electronic materials both for its intrinsic rigidity and for several issues linked with plasticizer loss by migration or evaporation over time. [31,32] Nevertheless, CA currently remains to be the most used bio-based polymer for biomedical applications due to its low cost and compatibility with other biomaterials, such as aliphatic-aromatic biodegradable copolymers,[33] chitosan,[34] essential oils,[35] and vitamins[36] just to cite a few. Raw paper, i.e., before the “sizing” process, is however a mere nonwoven cellulose fiber network, which is highly flexible, porous, mechanically robust and chemically resistant. [8,37,38] Thus, the “sizing” process with a bio-based conducting material can result in a foldable biocomposite, showing true isotropic electrical conductivity. To this end, we demonstrate that cellulose fiber networks can be sized or compounded with CA-graphene based composites, avoiding the use of any plasticizers, resulting in foldable, flexible, and wear abrasion resistant biocomposite electrical conductors. The use of graphene nano-platelet (GnPs) as the filler results in robust, highly conducting, biocompatible, and flexible nanocomposites, behaving like a thin metal foils with excellent mechanical properties and bulk-like electric conductivity. In order to demonstrate their versatility, two applications were chosen both requiring isotropic electrical conduction, namely,
Accelerated versus Conventional Corneal Collagen Cross-Linking for Progressive Keratoconus

We aimed to compare the effect of accelerated and conventional corneal collagen cross-linking (CXL) on visual, refractive, and topographic parameters in patients with progressive keratoconus. Between December 2014 and February 2016, at Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Iran, we compared 37 eyes of 21 patients treated by conventional CXL (CCXL; 3 mW/cm2 in 30 minutes) with 34 eyes of 18 patients treated by accelerated CXL (ACXL; 18 mW/cm2 in 5 minutes) based on generalizing estimation equation analysis in terms of corrected distance visual acuity (CDVA), uncorrected distance visual acuity (UDVA), corneal endothelial cell indices, and topographic parameters before and at 3, 6 and 12 months after the operation. The mean UDVA and spherical equivalent changes were similar in the two groups, but an improvement in CDVA was only observed in the CCXL group (P = 0.003). Keratometry (minimum and maximum) was significantly decreased in the CCXL group (P = 0.043 and P = 0.008, respectively). Indices of keratoconus progression—surface asymmetry index (SAI), keratoconus prediction index (KPI), and keratoconus index (KCI)—were significantly lower in the CCXL group than in the ACXL group (P = 0.002, P < 0.001, and P < 0.001, respectively). The thinnest corneal thickness (TCT) was not significantly different between the two groups (P = 0.15). The reduction of corneal endothelial cell density was also similar between the two groups; however, polymorphism and polymegethism were significantly lower in the ACXL group than in the CCXL group. In conclusion, we showed that although ACXL at 18 mW/cm2 slowed keratoconus progression safely during a 1-year follow-up, CCXL at 3 mW/cm2 may be superior in the prevention of keratoconus progression.
Characterizing Sympathetic Neurovascular Transduction in Humans

Despite its critical role for cardiovascular homeostasis in humans, only a few studies have directly probed the transduction of sympathetic nerve activity to regional vascular responses – sympathetic neurovascular transduction. Those that have variably relied on either vascular resistance or vascular conductance to quantify the responses. However, it remains unclear which approach would better reflect the physiology. We assessed the utility of both of these as well as an alternative approach in 21 healthy men. We recorded arterial pressure (Finapres), peroneal sympathetic nerve activity (microneurography), and popliteal blood flow (Doppler) during isometric handgrip exercise to fatigue. We quantified and compared transduction via the relation of sympathetic activity to resistance and to conductance and via an adaptation of Poiseuille’s relation including pressure, sympathetic activity, and flow. The average relationship between sympathetic activity and resistance (or conductance) was good when assessed over 30-second averages (mean R2 = 0.49±0.07) but lesser when incorporating beat-by-beat time lags (R2 = 0.37±0.06). However, in a third of the subjects, these relations provided relatively weak estimates (R2<0.33). In contrast, the Poiseuille relation reflected vascular responses more accurately (R2 = 0.77±0.03, >0.50 in 20 of 21 individuals), and provided reproducible estimates of transduction. The gain derived from the relation of resistance (but not conductance) was inversely related to transduction (R2 = 0.37, p<0.05), but with a proportional bias. Thus, vascular resistance and conductance may not always be reliable surrogates for regional sympathetic neurovascular transduction, and assessment from a Poiseuille relation between pressure, sympathetic nerve activity, and flow may provide a better foundation to further explore differences in transduction in humans.
Practical Modelling And SolutionStrategies In Normal Contact OfMultilayered Anisotropic Cylinders

The finite element method is applied to the contact of multilayered cylinders. Layer materials are assumed to be linearly elastic and much more resilient than the core of the cylinders. The layers can therefore be modelled as superelements. The penalty function method is used to satisfy the boundary conditions at the contact surfaces. The full Newton-Raphson iteration scheme is applied to solve nonlinear equations. This study considers certain aspects in the design of the finite element mesh for the contact problem. Numerical experiments were used to generate an explicit equation for estimating the width of the segment of the cylinder needed for analysis.
Elimination of Harmonics of Induction Furnace by Appling PQ-Theory for the Control of Hybrid Selective Active Filter

This paper describes how to calculate the different harmonic sequences that should be filtered with a hybrid selective active filter, for two control alternatives: load current measurement or line current measurement. These results are then generalized for hybrid selective active filters. Passive parameters are chosen considering the resonances with the electric system that appear. Design basis are defined in order to obtain a minimum cost filter which also meet the applicable regulations requirements. In this paper presents a hybrid selective active filter configuration to mitigate harmonics, which uses shunt passive and active filters. To obtain the switching signals for the active filter have used instantaneous power theory proposed by H.Akagi. Hybrid selective active filter proposed scheme has been verified through various simulations in MATLAB-SIMULINK environment. Finally, results showing the potentiality of the selective filter controlled for the proposed methods are reported.
Applying formal concept analysis to semantic file systems leveraging wordnet

Formal Concept Analysis can be used to obtain both a natural clustering of documents along with a partial ordering over those clusters. The application of Formal Concept Analysis requires input to be in the form of a binary relation between two sets. This paper investigates how a semantic filesystem can be used to generate such binary relations. The manner in which the binary relation is generated impacts how useful the result of Formal Concept Analysis will be for navigating one's filesystem.
Highly reliable data logging in embedded systems

In civil and industrial areas often a task to log the data of an embedded system. In some applications the redundant data storage and archiving is required. In the field it can be occur, that the device suffers some electromagnetic impact. It can cause for example, some high current industrial device, a near lightning strike, a transient electromagnetic disturbance, EMP jamming, etc. It can cause damage in the data measured by the embedded system. In this paper shows an architectural solution to keep the data safe, or flag the exact part of the data, which can contain errors.
OxLDL-derived lysophosphatidic acid promotes the progression of aortic valve stenosis through a LPAR1-RhoA–NF-&kgr;B pathway

Aims Oxidatively modified lipoproteins may promote the development/progression of calcific aortic valve stenosis (CAVS). Oxidative transformation of low-density lipoprotein (OxLDL) generates lysophosphatidic acid (LPA), a lipid mediator that accumulates in mineralized aortic valves. LPA activates at least six different G protein-coupled receptors, which may play a role in the pathophysiology of CAVS. We hypothesized that LPA derived from OxLDL may promote a NF-κB signature that drives osteogenesis in the aortic valve. Methods and results The role of OxLDL-LPA was examined in isolated valve interstitial cells (VICs) and the molecular pathway was validated in human explanted aortic valves and in a mouse model of CAVS. We found that OxLDL-LPA promoted the mineralization and osteogenic transition of VICs through LPAR1 and the activation of a RhoA-NF-κB pathway. Specifically, we identified that RhoA/ROCK activated IκB kinase alpha, which promoted the phosphorylation of p65 on serine 536 (p65 pS536). p65 pS536 was recruited to the BMP2 promoter and directed an osteogenic program not responsive to the control exerted by the inhibitor of kappa B. In LDLR-/-/ApoB100/100/IGFII transgenic mice (IGFII), which develop CAVS under a high-fat and high-sucrose diet the administration of Ki16425, a Lpar1 blocker, reduced by three-fold the progression rate of CAVS and also decreased the osteogenic activity as measured with a near-infrared fluorescent probe that recognizes hydroxyapatite of calcium. Conclusions OxLDL-LPA promotes an osteogenic program in the aortic valve through a LPAR1-RhoA/ROCK-p65 pS536 pathway. LPAR1 may represent a suitable target to prevent the progression of CAVS.
Visually impaired individuals, safety perceptions and traumatic events: a qualitative study of hazards, reactions and coping

Abstract Purpose: To explore the types of risks and hazards that visually impaired individuals face, how they manage potential threats and how reactions to traumatic events are manifested and coped with. Method: Participants were 17 visually impaired individuals who had experienced some kind of potentially traumatic event. Two focus groups and 13 individual interviews were conducted. Results: The participants experienced a variety of hazards and potential threats in their daily life. Fear of daily accidents was more pronounced than fear of disasters. Some participants reported avoiding help-seeking in unsafe situations due to shame at not being able to cope. The ability to be independent was highlighted. Traumatic events were re-experienced through a variety of sense modalities. Fear of labelling and avoidance of potential risks were recurring topics, and the risks of social withdrawal and isolation were addressed. Conclusions: Visual impairment causes a need for predictability and adequate information to increase and prepare for coping and self-efficacy. The results from this study call for greater emphasis on universal design in order to ensure safety and predictability. Fear of being labelled may inhibit people from using assistive devices and adequate coping strategies and seeking professional help in the aftermath of a trauma. Implications for Rehabilitation Visual impairment entails a greater susceptibility to a variety of hazards and potential threats in daily life. This calls for a greater emphasis on universal design in public spaces to ensure confidence and safety. Visual impairment implies a need for predictability and adequate information to prepare for coping and self-efficacy. Rehabilitation professionals should be aware of the need for independence and self-reliance, the possible fear of labelling, avoidance of help-seeking or reluctance to use assistive devices. In rehabilitation after accidents or potential traumatizing events, professionals’ knowledge about the needs for information, training and predictability is crucial. The possibility of social withdrawal or isolation should be considered.
Unsupervised Twitter Sentiment Classification

Sentiment classification is not a new topic but data sources having different characteristics require customized methods to exploit the hidden existing semantic while minimizing the noise and irrelevant information. Twitter represents a huge pool of data having specific features. We propose therefore an unsupervised, domain-independent approach, for sentiment classification on Twitter. The proposed approach integrates NLP techniques, Word Sense Disambiguation and unsupervised rule-based classification. The method is able to differentiate between positive, negative, and objective (neutral) polarities for every word, given the context in which it occurs. Finally, the overall tweet polarity decision is taken by our proposed rule-based classifier. We performed a comparative evaluation of our method on four public datasets specialized for this task and the experimental results obtained are very good compared to other state-of-the-art methods, considering that our classifier does not use any training corpus.
Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices

The increasing miniaturization and affordability of sensors and circuitry has led to the current level of innovation in the area of wearable and microsensor solutions for health monitoring. This facilitates the development of solutions that can be used to measure complex health outcomes in nonspecialist and remote settings. In this article, we review a number of innovations related to brain monitoring including portable and wearable solutions to directly measure brain electrical activity, and solutions measuring aspects related to brain function such as sleep patterns, gait, cognition, voice acoustics, and gaze analysis. Despite the need for more scientific validation work, we conclude that there is enough understanding of how to implement these approaches as exploratory tools that may provide additional valuable insights due to the rich and frequent data they produce, to justify their inclusion in clinical study protocols.