Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Computerised Dynamometry to Quantify Functional Grip and Release in People Post Stroke: A Pilot Study

Purpose: To present a theoretical construct and pilot data from an analytic technique to simultaneously quantify positive and negative upper motor neuron (UMN) features. Method: Computerised hand dynamometry was used to measure hand contraction-relaxation cycles during a repetitive grasp and release task. Measurements of force, time, force velocity and 'grip work' were collected on a pilot sample of 5 post-stroke subjects and 5 matched controls. Within and between group differences were analysed. Results: Force, time and velocity dependent aspects of hand performance did not differ between the dominant and non- dominant upper-limbs of control subjects. In contrast, the post-stroke group generated less grip force over longer cycle times with their affected limb, consistent with negative UMN features. In controls, 97% of grip work was task specific, with 3% associated with involuntary, non-task grip work. Conversely, the post-stroke group generated high levels of involuntary, non-task grip work (39%), a feature consistent with positive UMN features of muscle overactivity. Force velocity and maximal force were lower in the non-affected limbs of the stroke group than matched dominant limbs of the control group, supporting functional Magnetic Resonance Imaging data that the function of non-affected cerebral hemisphere is abnormal following stroke. Conclusions: The computerised dynamometry analysis paradigm was able to simultaneously quantitate aspects of hand performance affected by positive and negative UMN features within an individual and between groups. This approach uses a clinically relevant, functionally based assessment technique that appears to have greater ecological validity and fewer limitations than current measures of spasticity.
Sdemped 2003 Symposium on Diagnostics for Electric Machines, Power Electronics and Drives

this paper describes an experience on the development of virtual procedures for diagnostic system testing. One of the main problems in the development of algorithms for diagnostic systems is the availability of data for testing purpose. The authors describes examine the possibility of an open platform for simulation to accomplish this task. The capability of describing sophisticated and custom models within the simulation environment are deeply investigated and comparison with experimental data are performed.
Multi-level action detection via learning latent structure

Detecting actions in videos is still a demanding task due to large intra-class variation caused by varying pose, motion and scales. Conventional approaches use a Bag-of-Words model in the form of space-time motion feature pooling followed by learning a classifier. However, since the informative body parts motion only appear in specific regions of the body, these methods have limited capability. In this paper, we seek to learn a model of the interaction among regions of interest via a graph structure. We first discover several space-time video segments representing persistent moving body parts observed sparsely in video. Then, via learning the hidden graph structure (a subset of the graph), we identify both spatial and temporal relations between the subsets of these segments. In order to seize the more discriminative motion patterns and handle different interactions between body parts from simple to composite action, we present a multi-level action model representation. Consequently, for action classification, the classifier learned through each action model labels the test video based on the action model that gives the highest probability score. Experiments on challenging datasets, such as MSR II and UCF-Sports including complex motions and dynamic backgrounds, demonstrate the effectiveness of the proposed approach that outperforms state-of-the-art methods in this context.
Image Features from Phase Congruency

Videre: Journal of Computer Vision Research (ISSN 1089-2788) is a quarterly journal published electronically on the Internet by The MIT Press, Cambridge, Massachusetts, 02142. Subscriptions and address changes should be addressed to MIT Press Journals, Five Cambridge Center, Cambridge, MA 02142; phone: (617) 253-2889; fax: (617) 577-1545; e-mail: journals-orders@mit.edu. Subscription rates are: Individuals $30.00, Institutions $125.00. Canadians add additional 7% GST. Prices subject to change without notice.
Using augmented reality for rapid prototyping and collaborative design to model 3D buildings

Using Computer Vision techniques, a system was designed that automatically creates 3D virtual building models from 2D diagrams, such as architectural blueprints. The software creates vertex point data from the distinct features found in these 2D blueprints and virtual walls by extruding found line segments. Augmented Reality is then used to overlay the virtual 3D structure on the real 2D diagram.
Association of LIN28B with Adult Adiposity-Related Traits in Females

Context Pubertal timing is under strong genetic control and its early onset associates with several adverse health outcomes in adulthood, including obesity, type 2 diabetes and cardiovascular disease. Recent data indicate strong association between pubertal timing and genetic variants near LIN28B, but it is currently unknown whether the gene contributes to the association between puberty and adult disease. Objective To elucidate the putative genetic link between early puberty and adult disease risk, we examined the association of two genetic variants near LIN28B with adult body size and metabolic profiles in randomly ascertained adult Finnish males and females. Methods Two single nucleotide polymorphisms (SNPs), rs7759938, the lead SNP previously associated with pubertal timing and height, and rs314279, previously also associated with menarcheal age but only partially correlated with rs7759938 (r2 = 0.30), were genotyped in 26,636 study subjects participating in the Finnish population survey FINRISK. Marker associations with adult height, weight, body mass index (BMI), hip and waist circumference, blood glucose, serum insulin and lipid/lipoprotein levels were determined by linear regression analyses. Results Both rs7759938 and rs314279 associated with adult height in both sexes (p = 2×10−6 and p = 0.001). Furthermore, rs314279 associated with increased weight in females (p = 0.001). Conditioned analyses including both SNPs in the regression model verified that rs314279 independently associates with adult female weight, BMI and hip circumference (p<0.005). Neither SNP associated with glucose, lipid, or lipoprotein levels. Conclusion Genetic variants near the puberty-associated gene LIN28B associate with adult weight and body shape in females, suggesting that the gene may tag molecular pathways influencing adult adiposity-related traits.
Monitoring Powdery Mildew of Winter Wheat by Using Moderate Resolution Multi-Temporal Satellite Imagery

Powdery mildew is one of the most serious diseases that have a significant impact on the production of winter wheat. As an effective alternative to traditional sampling methods, remote sensing can be a useful tool in disease detection. This study attempted to use multi-temporal moderate resolution satellite-based data of surface reflectances in blue (B), green (G), red (R) and near infrared (NIR) bands from HJ-CCD (CCD sensor on Huanjing satellite) to monitor disease at a regional scale. In a suburban area in Beijing, China, an extensive field campaign for disease intensity survey was conducted at key growth stages of winter wheat in 2010. Meanwhile, corresponding time series of HJ-CCD images were acquired over the study area. In this study, a number of single-stage and multi-stage spectral features, which were sensitive to powdery mildew, were selected by using an independent t-test. With the selected spectral features, four advanced methods: mahalanobis distance, maximum likelihood classifier, partial least square regression and mixture tuned matched filtering were tested and evaluated for their performances in disease mapping. The experimental results showed that all four algorithms could generate disease maps with a generally correct distribution pattern of powdery mildew at the grain filling stage (Zadoks 72). However, by comparing these disease maps with ground survey data (validation samples), all of the four algorithms also produced a variable degree of error in estimating the disease occurrence and severity. Further, we found that the integration of MTMF and PLSR algorithms could result in a significant accuracy improvement of identifying and determining the disease intensity (overall accuracy of 72% increased to 78% and kappa coefficient of 0.49 increased to 0.59). The experimental results also demonstrated that the multi-temporal satellite images have a great potential in crop diseases mapping at a regional scale.
On the Structure of μ-Classes

Abstract We prove that, if , then every rational parametrization of degree n and class μ is a limit of parametrizations of the same degree and class μ + 1. This property was conjectured in Cox, D. , Sederberg, T. , Chen, F. [Cox, D. , Sederberg, T. , Chen, F. (1998b)] and its validity allows an explicit description of the variety of parametrizations of degree n and class μ, for all (n, μ).
Regular Type III and Type N Approximate Solutions

New type III and type N approximate solutions which are regular in the linear approximation are shown to exist. For that, we use complex transformations on self-dual Robinson-Trautman metrics rather then the classical approach. The regularity criterion is the boundedness and vanishing at infinity of a scalar obtained by saturating the Bel-Robinson tensor of the first approximation by a time-like vector which is constant with respect to the zeroth approximation.
Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database

In this paper we describe the genetic programming system GGP operating on graphs and introduce the notion of graph isomorphisms to explain how they influence the dynamics of GP. It is shown empirically how fitness databases can improve the performance of GP and how mapping graphs to a canonical form can increase these improvements by saving considerable evaluation time.
Adjustment of PMSM Drive Parameters for Sensorless Vector Control

Methods for adjustment of drive parameters during the change of control modes is presented. The methods are applied to permanent magnet synchronous motor (PMSM) sensorless control with sliding mode observer (SMO). The phase compensation was proposed to optimize rotor position in the speed control mode. This technique is based on the measurement of control current with constant load torque. The validity of the proposed methods is verified experimentally.
On improving Search Result Authoritativeness with an Enhanced Trust Rank Algorithm

In a network of pages (the web), outbound and inbound links are the only connecting flow making the vertexes; while the pages represent the edges as is found on directed graphs. The ranking of a page is dependent on its content and the number of inbound links which are recommendations to the page. Contrary, an outbound link demotes the page. If the Home page (target page) is "good", then there is a flow of Page Rank booster out of it. In this work, we introduced the TrustRank (TrustRank = M-1 * X) method to become the start process of the Page Rank method (M * PageRank = ( 1 d )), since the basic idea is, taking the link structure to generate a measure for the quality of a page by the selection of good (trusted) pages for a start (by hand). These pages are the sources of trust. Trust can be transferred to other page by linking to them. Trust is propagated in the same way as PageRank from thence. Ranked result from this point would be better than those not guided by the "trusted selections".
P-CMOMMT Algorithm For The Cooperative Multi-Robot Observation of Multiple Moving Targets

The cooperative multi-robot observation of multiple moving targets (CMOMMT) problem is one of the important research areas in the multi-robot domain. In the multi-robot system, how and to which degree to balance the contradiction between individual benefit and collective benefit is a key problem and it is an important factor in deciding the observation performance of CMOMMT performance. In this paper, an altruistic factor is introduced to form different personalities and diverse cooperation observation modes to deal with this problem, a new tracking method P-CMOMMT based is designed. The effect of altruism on the tradeoff between the individual benefit and the collective benefit is studied. Simulation is done to test the performance
A Universal Ontology for Sensor Networks Data

In this paper, we present our work towards the development and evaluation of an ontology for searching distributed and heterogeneous sensor networks data. In particular, we propose a two layer prototype ontology that utilizes the IEEE Suggested Upper Merged Ontology (SUMO) as a root definition of general concepts and associations and two sub- ontologies: the sensor data sub-ontology and the sensor hierarchy sub-ontology. The proposed ontology was implemented using Protege 2000 and eventually evaluated using the RDQL language (RDF Data Query Language). The performance analysis demonstrated the ability of the ontology-based search to improve both the precision and recall rates and enhance the interoperability between different sensor networks domains through the use of the universal SUMO ontology.
College Student Binge Eating: Attachment, Psychological Needs Satisfaction, and Emotion Regulation

Abstract: In this study we examine the mediating roles of psychological needs satisfaction (i.e., autonomy, competence, and relatedness) and emotion regulation difficulties in the relationship between attachment insecurity (i.e., attachment anxiety and avoidance) and binge eating behavior in college students. A total sample of 820 college students participated in this study. Structural equation modeling was performed to test a mediation hypothesis. The mediation model that included psychological needs satisfaction and emotion regulation difficulties as sequential mediators for the link between attachment insecurity and binge eating behavior fit the data well.
Suppression of Heme Oxygenase-1 by Prostaglandin E2-Protein Kinase A-A-Kinase Anchoring Protein Signaling Is Central for Augmented Cyclooxygenase-2 Expression in Lipopolysaccharide-Stimulated RAW 264.7 Macrophages

Purpose Prostaglandin (PG) E2 is an immunomodulatory lipid mediator generated mainly via the cyclooxygenase-2 (COX-2) pathway from arachidonic acid at sites of infection and inflammation. A positive feedback loop of PGE2 on COX-2 expression is critical for homeostasis during toll-like receptor (TLR)-mediated inflammatory processes. The mechanism of PGE2-regulated COX-2 expression remains poorly understood. The low-molecular-weight stress protein heme oxygenase-1 (HO-1) contributes to the anti-inflammatory, anti-oxidant and anti-apoptotic response against environmental stress. Methods We explored the involvement of HO-1 on PGE2 regulation of LPS-induced COX-2 expression in RAW 264.7 macrophages. Results LPS-induced COX-2 expression in RAW 264.7 macrophages was enhanced by exogenous PGE2 or cyclic AMP (cAMP) analogue and was suppressed by a COX inhibitor (indomethacin), a protein kinase A (PKA) inhibitor (KT5720), and A kinase anchoring protein (AKAP) disruptors (Ht31 and RIAD). This result suggests that the stimulatory effects of endogenous and exogenous PGE2 on COX-2 expression are mediated by a cAMP-PKA-AKAP-dependent pathway. The induction of HO-1 was observed in LPS-stimulated RAW 264.7 macrophages. This induction was suppressed by exogenous PGE2 and enhanced by blockage of the endogenous PGE2 effect by the PKA inhibitor or AKAP disruptors. In addition, HO-1 induction by the HO activator copper protoporphyrin suppressed LPS-induced COX-2 expression, which was restored by the addition of exogenous PGE2. The induction of HO-1 inhibited LPS-induced NF-κB p-65 nuclear expression and translocation. Conclusions AKAP plays an important role in PGE2 regulation of COX-2 expression, and the suppression of HO-1 by PGE2-cAMP-PKA-AKAP signaling helps potentiate the LPS-induced COX-2 expression through a positive feedback loop in RAW 264.7 macrophages.
Herpes Simplex Virus Non-structural Proteins

The herpes simplex virus type 2 major DNA-binding protein has been functionally characterized using temperature-sensitive mutants in the complementation group 2-2. The mutants were shown to be defective in the DNA-binding protein gene by mapping the mutants to the area of the genome known to code for the protein, and by demonstrating alterations in the major DNA-binding protein induced in mutantinfected cells. The mutants were shown to be defective in the replication of virus DNA. The nature of this defect was examined by studying virus D N A synthesis in vitro and by the examination of virus enzymes. An effect of mutation in the DNA-binding protein was to destabilize both the DNA polymerase and the alkaline exonuclease.
2016 Third International Conference on Information Retrieval and Knowledge Management a Malay Text Summarizer Using Pattern-growth Method with Sentence Compression Rules the Purpose of Sentence Compression in Text Summarization Is to Produce a Compact and Informational Content by Eliminating Unneces

—A text summary is a condensed representation of text where salient information is extracted with the purpose to ease users' readability. However, if the summary was extracted " verbatim " from its source, the sentence may contain inessential information along with salient information that may effect on the overall coherence in the summary generation. words or " textual pattern " that are frequently used and eliminated across the Malay news document collection. From the discovered textual pattern, we derived some heuristic Sentence Compression Rules in generating compressed sentences to construct a single extract Malay summary. We conducted experiments on Malay news dataset and the result demonstrates that moderate compressed summary using Sentence Compression Rules has better agreement with human composed summary.
Construction and annotation of a corpus of contemporary Nepali

In this paper, we describe the construction of the 14-million-word Nepali National Corpus (NNC). This corpus includes both spoken and written data, the latter incorporating a Nepali match for FLOB and a broader collection of text. Additional resources within the NNC include parallel data (English–Nepali and Nepali–English) and a speech corpus. The NNC is encoded as Unicode text and marked up in CES-compatible XML. The whole corpus is also annotated with part-of-speech tags. We describe the process of devising a tagset and retraining tagger software for the Nepali language, for which there were no existing corpus resources. Finally, we explore some present and future applications of the corpus, including lexicography, NLP, and grammatical research.
Effect of Exercise Prior or After Ischemia on the Density of Neurons and Astrocytes in the Brain of Rats

The aim of this study was to analyse the density of astrocytes and neurons in the motor areas of the cortex, striatum and hippocampus of rats that performed exercise before or after cerebral ischemia. A total of 36 Wistar rats were separated into two groups: One that was subjected to Middle Cerebral Artery Occlusion (MCAO) and the other that underwent surgical access in the absence of ischemia. Both groups were subdivided into: Animals that underwent exercise prior to MCAO and sham surgery (AI and AC, n = 12); animals that underwent exercise after MCAO and sham surgery (DI and DC, n = 12); and animals that did not undergo exercise (SI and SC, n = 12). The brains of mice were sectioned and stained by the Nissl method for staining of neurons and the astrocytes were labeled by immunohistochemistry with glial fibrillary acidic protein. Physical training was conducted after the surgery for 6 weeks (30 min/day), 5 days per week. The animals exercised before cerebral ischemia showed greater density of neurons in the striatum, in the apex of the dentate gyrus of the hippocampus, in the motor cortex contra lateral to the lesion and more astrocytes in the motor cortex of the cerebral hemispheres compared with the untrained group (p
Development of a Resource-Efficient and Fault-Tolerant Wireless Sensor Network System

Memory optimization, energy conservation and fault tolerance are the essential research topics in the wireless sensor network (WSN). In this paper, a real-time, memory-efficient, energy-efficient and fault-tolerant WSN system LiveOS is designed and implemented. Compared to the other systems, LiveOS has several typical features. On the one hand, the optimized Rate-Monotonic Scheduling (RMS) mechanism is applied in LiveOS. With this mechanism, the memory cost of the multithreaded real-time operating system (RTOS) can be decreased significantly. As a result, the RTOS becomes suitable to run even on the memory-constrained WSN nodes. On the other hand, the new research approach, which addresses the WSN challenges by combining the software technique with the multi-core hardware technique, is used in LiveOS. By means of the multi-core hardware platform, the energy cost and the fault-tolerant ability of the WSN nodes can be optimized greatly. Due to the above features, LiveOS becomes the WSN OS which has small memory footprint, low energy cost and high fault-tolerant ability. The evaluations on the different WSN nodes prove that LiveOS is appropriate to run on the resource-constrained WSN nodes to execute the real-time WSN applications.
Sublethal Toxicity Endpoints of Heavy Metals to the Nematode Caenorhabditis elegans

Caenorhabditis elegans, a free-living nematode, is commonly used as a model organism in ecotoxicological studies. The current literatures have provided useful insight into the relative sensitivity of several endpoints, but few direct comparisons of multiple endpoints under a common set of experimental conditions. The objective of this study was to determine appropriate sublethal endpoints to develop an ecotoxicity screening and monitoring system. C. elegans was applied to explore the sublethal toxicity of four heavy metals (copper, zinc, cadmium and chromium). Two physiological endpoints (growth and reproduction), three behavioral endpoints (head thrash frequency, body bend frequency and feeding) and two enzymatic endpoints (acetylcholine esterase [AChE] and superoxide dismutase [SOD]) were selected for the assessment of heavy metal toxicity. The squared correlation coefficients (R2) between the responses observed and fitted by Logit function were higher than 0.90 and the RMSE were lower than 0.10, indicating a good significance statistically. There was no significant difference among the half effect concentration (EC50) endpoints in physiological and behavioral effects of the four heavy metals, indicating similar sensitivity of physiological and behavioral effects. AChE enzyme was more sensitive to copper, zinc, and cadmium than to other physiological and behavioral effects, and SOD enzyme was most sensitive to chromium. The EC50 of copper, zinc, and cadmium, to the AChE enzyme in the nematodes were 0.68 mg/L, 2.76 mg/L, and 0.92 mg/L respectively and the EC50 of chromium to the SOD enzyme in the nematode was 1.58 mg/L. The results of this study showed that there was a good concentration-response relationship between all four heavy metals and the sublethal toxicity effects to C. elegans. Considering these sublethal endpoints in terms of simplicity, accuracy, repeatability and costs of the experiments, feeding is the relatively ideal sublethal toxicity endpoint of heavy metals to C. elegans.