Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fuzzy sequential locomotion mode recognition system for lower limb prosthesis control

Control of powered lower limb prostheses has a locomotion mode-dependent structure which demands a pattern recognizer that can classify the current locomotion mode and also detect transitions between them in an appropriate time. In order to achieve this goal, this paper presents a Fuzzy sequential locomotion mode recognition system to classify daily locomotion modes including level- walking, stair climbing, slope walking, standing and sitting using low-cost mechanical sensors. Since these signals have a quasi-periodic nature, using sequential pattern recognition tools, such as Hidden Markov Model(HMM) improves the recognition performance considering they use sequences of information to make a decision. On the other hand, simplicity of Fuzzy method, being a linguistic descriptor of patterns, makes training and classification procedures easier. Besides, the imprecise nature of Fuzzy modeling provides robustness to noisy signals from mechanical sensors which in turn, raises hopes to improving the recognition performance. The proposed Fuzzy sequential pattern recognizer models the daily locomotion modes with patterns consisting of some finite states and features of each state are described with a Fuzzy vector. Similar to HMMs, evaluation, assignment and training algorithms for such Fuzzy sequential tool are presented. Generating database for training the mentioned describing vectors and evaluating the performance of proposed system have been accomplished with the measured data from three IMUs and two FSRs mounted on the leg of four able-bodied subjects. Recognition performance has been evaluated for user-specific and user-independent classifications and the results have been compared with HMM. Overall accuracy of 95.8% for user-specific classification and 86.5% for user-independent classification has been achieved, which indicated higher recognition accuracy compared with HMM.
Fibroblast growth factor receptor 3 activation plays a causative role in urothelial cancer pathogenesis in cooperation with Pten loss in mice

Although somatic mutations and overexpression of the tyrosine kinase fibroblast growth factor receptor 3 (FGFR3) are strongly associated with bladder cancer, evidence for their functional involvement in the pathogenesis remains elusive. Previously we showed that activation of Fgfr3 alone is not sufficient to initiate urothelial tumourigenesis in mice. Here we hypothesize that cooperating mutations are required for Fgfr3‐dependent tumourigenesis in the urothelium and analyse a mouse model in which an inhibitor of Pi3k–Akt signalling, Pten, is deleted in concert with Fgfr3 activation (UroIICreFgfr3+/K644EPtenflox/flox). Two main phenotypical characteristics were observed in the urothelium: increased urothelial thickness and abnormal cellular histopathology, including vacuolization, condensed cellular appearance, enlargement of cells and nuclei, and loss of polarity. These changes were not observed when either mutation was present individually. Expression patterns of known urothelial proteins indicated the abnormal cellular differentiation. Furthermore, quantitative analysis showed that Fgfr3 and Pten mutations cooperatively caused cellular enlargement, while Pten contributed to increased cell proliferation. Finally, FGFR3 overexpression was analysed along the level of phosphorylated mTOR in 66 T1 urothelial tumours in tissue microarray, which supported the occurrence of functional association of these two signalling pathways in urothelial pathogenesis. Taken together, this study provides evidence supporting a functional role of FGFR3 in the process of pathogenesis in urothelial neoplasms. Given the wide availability of inhibitors specific to FGF signalling pathways, our model may open the avenue for FGFR3‐targeted translation in urothelial disease. Copyright © 2014 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Systematic analysis of the molecular mechanism of microRNA-124 in hepatoblastoma cells

The present study aimed to identify the molecular mechanisms of microRNA-124 (miRNA-124/miR-124) in hepatoblastoma. The GSE6207 microarray dataset, obtained from the Gene Expression Omnibus database, included samples extracted from HepG2 cells transfected with miR-124 duplex (the experimental group) or negative control (the control group) at 4, 8, 16, 24, 32, 72 and 120 h after transfection. Differentially expressed genes (DEGs) were screened between the two groups. miR-124 activity was inferred based on the expression of its target genes. The mRNAs targeted by miR-124 were predicted and a miR-124-target mRNA network was constructed. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for the target genes. The number of DEGs was highest at 72 h. The experimental group had higher miR-124 activity than that of the control group at 4, 8, 16, 24 and 120 h. Small GTPase-mediated signal transduction and Ras protein signal transduction were significant GO terms enriched with syndecan binding protein (SDCBP), Ras homolog family member G (RHOG) and Rho-GDP dissociation inhibitor-α (ARHGDIA). Regulation of actin cytoskeleton, D-glutamine and D-glutamate metabolism, and axon guidance were significant pathways. Axon guidance pathway was associated with neuropilin (NRP1), MET proto-oncogene, receptor tyrosine kinase (MET) and semaphorin 7A, GPI membrane anchor (SEMA7A). Small GTPase-mediated signal transduction, Ras protein signal transduction, regulation of actin cytoskeleton pathway, D-glutamine and D-glutamate metabolism pathway, axon guidance pathway, SDCBP, RHOG, ARHGDIA, NRP1, SEMA7A, and MET may be implicated in the underlying mechanisms of miR-124 overexpression in hepatoblastoma.
Kidney function and cognitive impairment in US adults: the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

BACKGROUND The association between kidney function and cognitive impairment has not been assessed in a national sample with a wide spectrum of kidney disease severity. STUDY DESIGN Cross-sectional. SETTING & PARTICIPANTS 23,405 participants (mean age, 64.9 +/- 9.6 years) with baseline measurements of creatinine and cognitive function participating in the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, a study of stroke risk factors in a large national sample. PREDICTOR Estimated glomerular filtration rate (eGFR). OUTCOME Cognitive impairment. MEASUREMENTS Chronic kidney disease (CKD) was defined as eGFR less than 60 mL/min/1.73 m(2). Kidney function was analyzed in 10-mL/min/1.73 m(2) increments in those with CKD, and in exploratory analyses, across the range of kidney function. Cognitive function was assessed using the 6-Item Screener, and participants with a score of 4 or less were considered to have cognitive impairment. RESULTS CKD was associated with an increased prevalence of cognitive impairment independent of confounding factors (odds ratio, 1.23; 95% confidence interval, 1.06 to 1.43). In patients with CKD, each 10-mL/min/1.73 m(2) decrease in eGFR less than 60 mL/min/1.73 m(2) was associated with an 11% increased prevalence of impairment (odds ratio, 1.11; 95% confidence interval, 1.04 to 1.19). Exploratory analyses showed a nonlinear association between eGFR and prevalence of cognitive impairment, with a significant increased prevalence of impairment in those with eGFR less than 50 and 100 mL/min/1.73 m(2) or greater. LIMITATIONS Longitudinal measures of cognitive function were not available. CONCLUSIONS In US adults, lower levels of kidney function are associated with an increased prevalence of cognitive impairment. The prevalence of impairment appears to increase early in the course of kidney disease; therefore, screening for impairment should be considered in all adults with CKD.
Transmit signal characterization of generalized frequency division multiplexing

Next generation networks (NGN) are required to fulfill a stringent set of requirements which include high data rate, spectral efficiency, low out-of-band (OOB) radiation and latency. Generalized frequency division multiplexing (GFDM) is one of the schemes proposed at physical layer for NGNs. GFDM is a block-based transceiver scheme consisting of non-orthogonal subcarriers which are individually filtered. The impulse response of this filter decides the characteristics of the signal. In GFDM, a block consists of a set of subcarriers and subsymbols, the block-based structure of GFDM is advantageous for low-latency applications. GFDM also increases spectral efficiency when compared with orthogonal frequency division multiplexing (OFDM) by reducing the overhead of cyclic prefix. Apart from these advantages of GFDM, individual filtering of subcarriers decides the overall performance of transmitter. In this paper, we study the characteristics of the transmitted GFDM signal such as peak-to-average power ratio and OOB radiation based on various filters. The proposed GFDM technique uses traditional Nyquist filters to perform subcarrier filtering, whereas we study the effect of improved Nyquist filters to do the same. We show that the use of improved Nyquist filtering improves the characteristics of the transmit signal.
Reactivation of behavioral activity during sharp waves: A computational model for two stage hippocampal dynamics

The rodent hippocampus is known to exhibit two very distinctive patterns of activity: theta with place selective cells firing during exploratory behavior and sharp waves (SPWs) associated with collective discharges in the CA3 during slow wave sleep (SWS), inactivity while awake and consummatory behavior. A great deal of evidence has demonstrated that the cells activated during SPWs events are representative of previous behavioral activity, which suggests an important functional role of off‐line learning and consolidation for these SPWs events. Supporting this view, forward, and more recently, reverse replay of linear track behavioral sequences have been reported in rodent's hippocampal place cells during SPWs. We demonstrate here that these patterns of reactivation can be successfully reproduced by relying on a computational model of the hippocampus with theta phase precession and synaptic plasticity during theta rhythm. Two mechanisms are proposed to initiate SPWs events: random reactivation in the presence of rapid, irregular subthreshold inputs and place selective cell activations. In 2D navigation computational experiments, rather than observing the perfect replay of experienced pathways, new pathways “experienced during immobility” emerge. This suggests a neural mechanism for shortcut navigation. © 2007 Wiley‐Liss, Inc.
Isolation and Characterization of a Novel Alphaherpesvirus in Fruit Bats

ABSTRACT Bats are known to harbor emerging RNA viruses. Recent studies have used high-throughput sequencing technology to identify various virus species, including DNA viruses that are harbored by bats; however, little is known about the nature of these potentially novel viruses. Here, we report the characterization of a novel herpesvirus isolated from an Indonesian pteropodid bat. The virus, tentatively named fruit bat alphaherpesvirus 1 (FBAHV1), has a double-stranded DNA genome of 149,459 bp. The phylogenetic analyses suggested that FBAHV1 is phylogenetically grouped with simplexviruses within the subfamily Alphaherpesvirinae. Inoculation of FBAHV1 into laboratory mice caused a lethal infection. Virus infection was observed in lung, liver, and brain tissue. Serological and PCR screening revealed that fruit bats infected with FBAHV1 or its related virus are widely distributed in Indonesia. The identification of FBAHV1 makes a considerable contribution to our understanding of simplexviruses associated with bats. IMPORTANCE Bats are known to harbor emerging viruses, such as lyssaviruses, henipaviruses, severe acute respiratory syndrome-like coronaviruses, and filoviruses. Although alphaherpesviruses are disseminated in humans and other animals, there is little information about their distribution in bats. Here, we isolated a previously unknown alphaherpesvirus from an Indonesian fruit bat. Genome sequence analysis suggested that the virus is a member of the genus Simplexvirus within the subfamily Alphaherpesvirinae, which also includes common human viruses, such as herpes simplex virus 1 and herpes simplex virus 2. FBAHV1 is the first bat-derived alphaherpesvirus whose complete genome has been sequenced.
Folliculin Interacts with Rab35 to Regulate EGF-Induced EGFR Degradation

Aims and Hypothesis: This study aims to investigate the mechanism involved in intracellular regulation of EGFR degradation induced by EGF. Methods: Phosphorylation of proteins related to EGFR signaling was examined by western blot analysis. Activation, connection between Rab35 and folliculin (FLCN) were assessed by pulldown, coimmunoprecipitation assays separately. The relationship between FLCN and cell growth was detected using gene overexpression and knock-down techniques. Results: Here, we demonstrate that interfering with FLCN, a tumor suppressor, reduces the rate of EGF-induced EGFR degradation, resulting in prolonged activation of downstream signaling. Rab35 is also involved in these processes. Moreover, C-terminal of FLCN binds to and activates Rab35. Of special interest is the observation that erlotinib, a selective EGFR inhibitor, not only obstructs the EGFR-mediated cellular signaling, but also abolishes EGF-stimulated EGFR degradation. Further results reveal that EGF facilitates the activation of Rab35, and FLCN modulates EGF-dependent Rab35 activation and cell growth. Conclusions: Taken together, our study proposes a negative-feedback regulation model in which FLCN mediates EGF-induced Rab35 activation, thereby increasing EGFR degradation and attenuating EGFR signaling.
Stereological methods for quantifying cell surface specializations in epithelia, including a concept for counting desmosomes and hemidesmosomes.

We present Stereological procedures for morphometric evaluation of intercellular junctions appearing in ultrathin sections of epithelia. A model representing desmosomes and hemidesmo somes as flat, circular discs differentiated within the plasma membrane of epithelial cells forms a basis for estimating number per unit volume of tissue or per unit area of cell surface. Methods for estimating relative surfaces are also provided. Consideration is given to problems of tissue sampling, varying feature size and finite section thickness. The procedures are improvements over earlier estimates of number per unit area of section or per unit length of membrane. Worked examples of calculations are included and methods are illustrated further by reference to quantitative studies of hamster cheek pouch epithelium during experimental carcinogenesis.
Gravity compensation of an upper extremity exoskeleton

This paper presents a new gravity compensation method for an upper extremity exoskeleton mounted on a wheel chair. This new device is dedicated to regular and efficient rehabilitation training for post-stroke and injured people without the continuous presence of a therapist. The exoskeleton is a wearable robotic device attached to the human arm. The user provides information signals to the controller by means of the force sensors around the wrist and the arm, and the robot controller generates the appropriate control signals for different training strategies and paradigms. This upper extremity exoskeleton covers four basic degrees of freedom of the shoulder and the elbow joints with three additional adaptability degrees of freedom in order to match the arm anatomy of different users. For comfortable and efficient rehabilitation, a new heuristic method have been studied and applied on our prototype in order to calculate the gravity compensation model without the need to identify the mass parameters. It is based on the geometric model of the robot and accurate torque measurements of the prototype's actuators in a set of specifically chosen joint positions. The weight effect has been successfully compensated so that the user can move his arm freely while wearing the exoskeleton without feeling its mass.
FAR-HD: A fast and efficient algorithm for mining fuzzy association rules in large high-dimensional datasets

Fuzzy Association Rule Mining (ARM) has been extensively used in relational or transactional datasets having less-to-medium number of attributes/dimensions. The mined fuzzy association rules (patterns) are not only used for manual analysis by domain experts, but are also leveraged to drive further mining tasks like classification and clustering which automate decision-making. Such fuzzy association rules can also be derived from high-dimensional numerical datasets, like image datasets, in order to train fuzzy associative classifiers or clustering algorithms. Traditional Fuzzy ARM algorithms are not able to mine rules from them efficiently, since such algorithms are meant to deal with datasets with relatively much less number of attributes/dimensions. Hence, in this paper we propose FAR-HD which is a Fuzzy ARM algorithm designed specifically for large high-dimensional datasets. FAR-HD processes fuzzy frequent itemsets in a DFS manner using a two-phased multiple-partition tidlist-based strategy. It also uses a byte-vector representation of tidlists, with the tidlists stored in the main memory in a compressed form (using a fast generic compression method). Additionally, FAR-HD uses Fuzzy Clustering to convert each numerical vector of the original input dataset to a fuzzy-cluster-based representation, which is ultimately used for the actual Fuzzy ARM process. FAR-HD has been compared experimentally with Fuzzy Apriori (7-15 times faster), which is the most popular Fuzzy ARM algorithm, and a Fuzzy ARM algorithm (1.1-4 times faster) which we proposed earlier and which is designed to work with very large but traditional (with fewer attributes) datasets.
Differential Rates of Recovery After Acute Sport-Related Concussion: Electrophysiologic, Symptomatic, and Neurocognitive Indices

Purpose To determine if motor evoked potentials (MEPs), postconcussion signs and symptoms, and neurocognitive functions follow a similar recovery pattern after concussion. Methods Nine collegiate athletes with acute concussion (>24 hours after injury) participated in this retrospective time series design. Transcranial magnetic stimulation was applied over the motor cortex, and MEPs were recorded from the contralateral upper extremity. Self-reported symptoms were evaluated using the Head Injury Scale, and the Concussion Resolution Index was used to assess neurocognitive function. All measures were repeated on days 3, 5, and 10 after injury. Results Composite scores on the Head Injury Scale were significantly higher on day 1 after injury (F3,51 = 15.3; P = 0.0001). Processing speed on the Concussion Resolution Index was slower on days 1, 3, and 5 compared with that on day 10 (F3,24 = 6.75; P = 0.0002). Median MEP latencies were significantly longer on day 10 compared with day 1 after concussion (t8 = −2.69; P = 0.03). Ulnar MEP amplitudes were significantly smaller on day 3 after concussion compared with day 5 (t8 = −3.48; P = 0.008). Conclusions Acutely concussed collegiate athletes demonstrate changes in MEPs, which persist for up to 10 days after injury and do not follow the same recovery pattern as symptoms and neuropsychological test performance. The apparent differential rates of recovery most likely indicate different pathophysiological processes occurring in the immediate postconcussion period.
The Magnitude of the Electromotive Force of Canine Ventricular Myocardium

SUMMARY The isolated and perfused dog heart was placed in a cubic container filled with Tyrode+-s solution. Ventricular ectopic beats were produced by electrical stimulation of the left ventricular wall, and initial QRS vectors of these beats were determined with orthogonal leads from the surface of the container. At the same instants, the activated area on the epicardial surface was measured by means of a large number of contiguous bipolar leads from the epicardial surface. The QRS vector and the activated epicardial area were found to be nearly porportional. By use of these results and a calibration system with artificial dipoles, the double layer moment of the ventricular activation wave was calculated as 0.13 mA - cm per unit area. This value corresponds to 60% of the maximal possible strength of the tissue electromotive force. Lowering the conductivity of the surrounding solution increased the QRS voltage but not as much as the potential caused by a constant-current dipole within the solution. The relationship between the QRS voltage and the conductivity of the medium was analyzed by a simplified model of the syste and was found to correspond approximately to that of a constant-current source within a spherical heart with a resistivity 2 to 3 times that of Tyrode+-s solution.
Changes in Creatine Kinase and Hormones over the Course of an American Football Season.

The purpose of this study was to examine changes in creatine kinase and hormones over the course of an entire season of American football. A secondary purpose was to determine differences between starters and non-starters. Fasting blood samples were obtained from nineteen National Collegiate Athletic Association Division I (n = 19; 20 ± 1 years) football athletes over the course of a season beginning prior to the start of summer off-season conditioning (T1), before (T2) and after pre-season (T3) football camp, with remaining samples taken throughout the competitive season (T4-T8). A magnitude-based inference approach was used to define outcomes. Testosterone was higher in starters prior to the start of the season (T1, Effect Size [ES] = 0.8) and during pre-conference (T4; ES = 0.7). Post-Camp (T3) testosterone was lower in all players, though greater in starters (starters, 0.0%/0.3%/99.7%; non-starters, 0.2%/2.9%/96.9%). An increase cortisol relative to baseline (T1) was observed in starters early in season (T4, ES = 0.7; T5, ES = 0.5). Creatine kinase was elevated at all time-points in all athletes, with starters having higher circulating levels throughout season. These data demonstrate that changes in hormonal markers may be experienced over a season of football and differ by playing status. Differences between starters and non-starters may be indicative of greater damage and stress experienced by starters, which may result from a greater number of repetitions.