Miracle-dz/UniFAR-FTUs huggingface dataset:
Reasoning Algorithms for Complex Matching Features

Aiming at the problem of unclear description of matching relationship between complex surfaces and insufficient consideration of feature attributes reflecting process constraints, an accurate reasoning algorithm based on topological ranking of feature matching is proposed. Based on the analysis of matching process correlation and feature attributes of typical complex surfaces, a matching topological sequencing model is constructed. The matching objects are encapsulated and topologically ranked by directed acyclic graph, and the precise reasoning among matching feature attributes is realized by using the fuzzy ideal solution. Finally, the validity of the model and the algorithm is verified by an application case.
Natural killer cells as participants in pathogenesis of rat experimental autoimmune encephalomyelitis (EAE): lessons from research on rats with distinct age and strain

Natural killer (NK) cells, influencing dendritic cell (DC)-mediated CD4+ lymphocyte priming in draining lymph nodes (dLNs) and controlling spinal cord (SC) infiltration with encephalitogenic CD4+T lymphocytes, modulate EAE (multiple sclerosis model). This study examined their putative contribution to age-related differences in EAE development in Dark Agouti (DA) (exhibiting age-related decrease in EAE susceptibility) and Albino Oxford (AO) (becoming susceptible to EAE with aging) rats. Aging increased NK cell number in dLNs from rats of both strains. In AO rats, but not in DA ones, it also increased the numbers of IFN-γ-producing NK cells (important for DC activation) and activated/matured DCs, thereby increasing activated/matured DC/conventional Foxp3-CD4+ cell ratio and activated CD25+Foxp3-CD4+ cell number. Aging in DA rats diminished activated/matured DC/conventional Foxp3-CD4+ cell ratio and activated Foxp3-CD4+ cell number. However, MBP-stimulated CD4+ cell proliferation did not differ in dLN cell cultures from young and aged AO rats (as more favorable activated/matured DC/Foxp3-CD4+ cell ratio was abrogated by lower intrinsic CD4+ cell proliferative capacity and a greater regulatory CD25+Foxp3+CD4+ lymphocyte frequency), but was lower in those from aged compared with young DA rats. At SC level, aging shifted Foxp3-CD4+/cytotoxic CX3CR1+ NK cell ratio towards the former in AO rats, so it was less favorable in aged AO rats exhibiting prolonged neurological deficit compared with their DA counterparts. The study showed strain and age differences in number of IFN-γ-producing NK cells in EAE rat dLNs, and suggested that their pathogenetic relevance depends on frequency and/or activity of other cells involved in CD4+ T cell (auto)immune response.
Vestibular Feedback on a Virtual Reality Wheelchair Driving Simulator: A Pilot Study

Autonomy and the ability to maintain social activities can be challenging for people with disabilities experiencing reduced mobility. In the case of disabilities that impact mobility, power wheelchairs can help such people retain or regain autonomy. Nonetheless, driving a power wheelchair is a complex task that requires a combination of cognitive, visual and visuo-spatial abilities. In practice, people need to pass prior ability tests and driving training before being prescribed a power wheelchair by their therapist. Still, conventional training in occupational therapy can be insufficient for some people with severe cognitive and/or visuo-spatial functions. As such, these people are often prevented from obtaining a power wheelchair prescription from their therapist due to safety concerns. In this context, driving simulators might be efficient and promising tools to provide alternative, adaptive, flexible, and safe training. In previous work, we proposed a Virtual Reality (VR) driving simulator integrating vestibular feedback to simulate wheelchair motion sensations. The performance and acceptability of a VR simulator rely on satisfying user Quality of Experience (QoE). Therefore, our simulator is designed to give the user a high Sense of Presence (SoP) and low Cybersickness. This paper presents a pilot study assessing the impact of the vestibular feedback provied on user QoE. Participants were asked to perform a driving task whilst in the simulator under two conditions: with and without vestibular feedback. User QoE is assessed through subjective questionnaires measuring user SoP and cybersickness. The results show that vestibular feedback activation increases SoP and decreases cybersickness. This study constitutes a mandatory step before clinical trials and, as such, only enrolled people without disabilities. ACM Reference Format: Guillaume Vailland, Yoren Gaffary, Louise Devigne, Valérie Gouranton, Bruno Arnaldi, and Marie Babel. 2020. Vestibular Feedback on a Virtual Reality Wheelchair Driving Simulator: A Pilot Study. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374825
Reduction of Commutation Torque Ripple inSensorless Brushless DC Motor using FuzzyLogic Controller

Brushless Direct Current (BLDC) motors are widely used due to high reliability, simple frame, straight forward control, and low friction. BLDC motor has the advantage of high speed adjusting performance and high power density. Speaking of the motor drive control, the most important part is commutation control. On the other hand, they show a high torque ripple characteristics caused by nonideal commutation currents. This limits its application area especially for the low-voltage applications. In order to minimize torque ripple for the entire speed range, a ample analysis of commutation torque ripple was made according to phase advancing (PA) commutation control method. This approach is based on the terminal voltage sensing and converting the voltages into d-q reference frame and the commutation signals are generated by comparing it with reference values. The gating signals are obtained by switching sequence of BLDC motor and it is done using fuzzy logic controller(FLC). The design analysis and simulation of the proposed system is done using MATLAB version 2013a and the simulation results of proportional-integral (PI) controller and fuzzy logic controller(FLC) method is compared.
Extraction, purification, characterization, anticoagulant activity, and anticoagulant mechanism of polysaccharides from the heads of Hypomesus olidus

Abstract The aim of this work was to extract, isolate, and purify polysaccharides from the heads of Hypomesus olidus and to evaluate their anticoagulant activities and anticoagulant mechanisms. Response surface methodology was used to optimize the extraction conditions for ultrasonic‐assisted extraction of polysaccharides from the heads of Hypomesus olidus. The optimal extraction conditions consisted of ultrasonic power of 275 W, ultrasonic time of 50 min, and solid–liquid ratio of 5 ml/g, giving the yield of crude polysaccharides (GYT) of 7.73 ± 0.042%. Three polysaccharide fractions, GYT‐1, GYT‐2, and GYT‐3 were purified from GYT by using DEAE‐cellulose‐52 column and Sephadex G‐100 column for anticoagulant activities. The results showed that two doses (2 and 4 mg/ml) of GYT‐1 and GYT‐3 could significantly prolong (p < .01) in partial thromboplastin time (APTT) (2.19 and 2.37 times, 2.22 and 2.44 times, respectively) and thrombin time (TT) (2.39 and 2.46 times, 2.44 and 2.80 times, respectively) compared with normal control. In particular, GYT‐3 had stronger anticoagulant activity than GYT‐1, and it was composed of arabinose, fructose, glucose, and lactose with molar ratios of 0.595:1: 2.026:0.273. However, GYT‐2 had no anticoagulant activity (p > .05). In addition, anticoagulation mechanism of polysaccharides from the heads of Hypomesus olidus (GYT‐3) was evaluated. The results showed that the anticoagulant activity of GYT‐3 was based on their binding with antithrombin AT‐III. And the inhibitory effects of GYT‐3 on factor IIa and Xa were related to the concentration of AT‐III in plasma. This study may provide a new and promising anticoagulant drug.
MLEU: Multi-Level Embedding U-Net for Fully Automatic Image Colorization

This paper presents the method for tackling the challenge of fully automatically image colorization. We improve U-net by fusion multi-level feature from the pre-trained ImageNet to enhance the model under the small datasets. Furthermore, we reduce the unbalance colors by the enhancement distribution over quantized colors based on the smoothness of the prior distribution. The experiments in the DIV2K dataset show that our results are very encouraging. Our method improves PSNR as well as colorizes the images under complex textures.
Prognostic Value of Skeletal Muscle Depletion Measured on Computed Tomography for Overall Survival in Patients with Non-Metastatic Breast Cancer

Purpose The purpose of this study was to evaluate the prognostic value of skeletal muscle depletion measured on computed tomography (CT) in patients with non-metastatic invasive breast cancer. Methods This retrospective study included 577 consecutive women (mean age ± standard deviation: 48.9 ± 10.2 years with breast cancer who underwent a preoperative positron-emission tomography (PET)/CT scan and curative surgery between January 2012 and August 2014. The total abdominal muscle area (TAMA), subcutaneous fat area (SFA), and visceral fat area (VFA) were measured on CT images at the L3 vertebral level. Univariate and multivariate Cox proportional-hazard regression analyses were performed to evaluate whether there was an association between sarcopenia and overall survival (OS) outcome. Results Of the 577 women, 49 (8.5%) died after a mean of 46 months. The best TAMA threshold for predicting OS was 83.7 cm2. The multivariate Cox proportional-hazard analysis revealed that sarcopenia (TAMA ≤ 83.70 cm2) was a strong prognostic biomarker (hazard ratio [HR], 1.951; 95% confidence interval [CI], 1.061–3.586), along with large tumor size, axillary lymph node metastasis, high nuclear grade, estrogen receptor status, and adjuvant radiation therapy. In the subgroup analysis of patients aged ≥ 50 years, TAMA (≤ 77.14 cm2) was a significant independent factor (HR, 2.856; 95% CI, 1.218–6.695). Conclusion Skeletal muscle depletion measured on CT was associated with worse OS outcome in patients with non-metastatic breast cancer.
WORD SENSE DISAMBIGUATION BASED MYANMAR-TO-ENGLISH MACHINE TRANSLATION SYSTEM

-Today, word sense disambiguation (WSD) is an important technique for many natural language processing (NLP) applications such as grammatical analysis, content analysis, information retrieval and machine translation. Among them, the WSD technique is used for machine translation to find the correct sense of a word in a specific context. In machine translation, the input sentences in the source language are disambiguated in order to translate correctly in the target language which is Myanmar language that has many ambiguous words. Therefore, the distance-based WSD method is used for resolving ambiguity of words in Myanmar language. This system uses the Bilingual Corpus as the training data. This system can solve the semantic ambiguous problems that usually happen in Myanmar-to-English translation. After disambiguating, the rule-based method is used for language translation. This system intends to improve the precision of the Myanmar-to-English language translation system.
SECURE SYSTEM IMPLEMENTATION USING ATTRIBUTE BASED ENCRYPTION

Today there is an demand of distributed data security in data sharing system such as social network or cloud computing challenging issue in data sharing system is access policy and support of policy update. The cryptographic solution to this issue is Cipher text policy Attribute based encryption. In Which data owner defines their access policy over user attribute and applies this policy on data. The problem introduce the Scheme is called as key escrow problem, in which key generation center decrypt any message which addressed to the User by generating there private key. these approach is not suitable for data sharing scenario, also it introduce the another challenge called revocation. Data accessible to only authorized user. The proposed CP-ABE scheme is used to solve the key escrow problem by 2pc protocol between generation center and data storing center. Proposed work consists of also immediate user Revocation.
Robust Face Recognition for Uncontrolled Environment

The aim of this project is face recognition from constraint environment. In this constraint environment various occlusion, different pose variation are exist. Robust Face recognition is needed today, for constrained environment because it used in ATM access, personal identification, Reliable face recognition system mainly depend upon method used for feature extraction and classification. The method used for feature extraction is Eigen Faces and also Sparse Representation based Classification is used . In this Sparse Representation based classification, l1 minimization algorithm is used. Sparse Representation based classification, represent the testing sample as the linear combination of all training sample B=AX, then classify the test sample by evaluating which class leads to minimum sparse representation error. This Sparse Representation based Classification gives best performance for constraint environment with 98% acceptance ratio. SRC based classification is robust to occlusion and gives high recognition rate.
Pd-Ia exerts anti-inflammatory effects by activating PPAR-α in human umbilical vein endothelial cells

Pd-Ia (dl-praeruptorin A), isolated from Chinese traditional herbal medicine Qian-Hu, has been linked to cardiovascular diseases because of its effective role on left ventricular dysfunction, exhibit anti-inflammatory properties through reducing the level of pro-inflammatory factors in ischemia/reperfusion myocardium. However, the potential roles and possible mechanisms in endothelial cells inflammatory response have yet to be fully clarified. In the present study, human umbilical vein endothelial cells (HUVECs) were selected to perform in vitro assays. Pd-Ia significantly reduced the mRNA expression of pro inflammatory cytokines and chemokines, including tumor necrosis factor α (TNF-α), interleukin (IL) 1β, IL 6, IL 8, monocyte chemoattractant protein 2 (MCP-2) and vascular adhesion molecule 1(VCAM 1) that were upregulated by LPS stimulation. Pd-Ia selectively increased peroxisome proliferator-activated receptor-α (PPAR-α) expression and enhanced the phosphorylation of PPAR-α that were downregulated by LPS. Furthermore, knockdown of PPAR-α by siRNA abrogated the effects of Pd-Ia on pro inflammatory cytokines TNF-α and IL 1β expression in LPS stimulated HUVECs. Additionally, Pd-Ia decreased the LPS upregulated NF-κBp65 phosphorylation at tested timepoints, which was abolished by PPAR-α antagonist MK886. These results demonstrated that Pd-Ia inhibited the pro inflammatory genes expression through activating PPAR-α and suppressing NF-κB activity. Thus, Pd-Ia may have the potential of being developed as an anti-inflammatory agent.
Electron Inelastic Mean Free Paths for LiF, CaF2, Al2O3, and Liquid Water from 433 keV down to the Energy Gap

We report new calculations, which include the influence of the band gap and exciton states, of the electron inelastic mean free path (IMFP) for liquid water, LiF, CaF2, and Al2O3 from the band gap to 433 keV. Among compounds, liquid water is the most studied due to its role in radiobiological research, whereas LiF and CaF2 are the most widely used thermoluminescent dosimeters in environmental monitoring and medical and space dosimetry. Due to its sensitivity, the optically stimulated luminescent dosimeter, Al2O3, has recently begun to be used for personnel monitoring. Previous treatments have modified the integration domain to consider the indistinguishability between the incident electron and the ejected one or the bandgap energy for nonconductors but not to accommodate exciton states within the band gap, and no published IMFP data are available for CaF2. Our calculation was carried out using an electron-beam–solid-state interaction model through the relativistic full Penn algorithm. Integration limits that consider the band gap, the valence band width, and exciton interactions have been used. The results suggest that, at electron energies below 100 eV, the different choices of models for integration limits and the exciton interaction can affect the IMFP by 9–29%. At higher energies, the differences associated with the choice of energy-loss function and other input parameters are around 2.5–7.5%.
Effect of Processing on the Characteristics Changes in Barnyard and Foxtail Millet

Results and Conclusion: Physical characteristics such as thousand grain weight, thousand grain volumes, hydration capacity and index, swelling capacity and index and cooking quality of the selected two unprocessed millets were considerably differed from each other. There was a significant variation with respect to functional, nutritional, anti-nutritional and pasting properties of selected two millets in response to different processing methods. Among them, germination reduces the anti-nutritional factors while roasting significantly increases the nutritional compounds. The improved functional and pasting properties of the selected two millets were observed in the germinated and roasted millet flours. Effect of Processing on the Characteristics Changes in Barnyard and Foxtail Millet
Interval-Based Uncertain Multi-Objective Optimization Design of Vehicle Crashworthiness

In this paper, an uncertain multi-objective optimization method is suggested to deal with crashworthiness design problem of vehicle, in which the uncertainties of the parameters are described by intervals. Considering both lightweight and safety performance, structural weight and peak acceleration are selected as objectives. The occupant distance is treated as constraint. Based on interval number programming method, the uncertain optimization problem is transformed into a deterministic optimization problem. The approximation models are constructed for objective functions and constraint based on Latin Hypercube Design (LHD). Thus, the interval number programming method is combined with the approximation model to solve the uncertain optimization problem of vehicle crashworthiness efficiently. The present method is applied to two practical full frontal impact (FFI) problems.
Evaluation of Household Sanitizers for Reducing Levels of Salmonella typhimurium on Iceberg Lettuce and Rocket Leaves

The effect of various household sanitizers including water, water acidified with white vinegar (1.5%), vinegar and lemon juice were evaluated for their effectiveness in reducing counts of Salmonella typhimurium on rocket and lettuce leaves. Treating rocket and lettuce samples with water containing 1.5% vinegar for 30 min or washing with water (at 28C) for 5 min showed negligible reduction in pathogen counts. Sanitizing rocket leaves with vinegar or lemon juice alone caused significant reductions in pathogen count of 2.3 and 2.5 log10 CFU/g respectively. A maximum reduction ranged from 3.1 log10 CFU/g to an undetectable level was recorded after dipping rocket leaves with high (5.8 log10 CFU/g) and low (4.0 log10 CFU/g) inoculums in a mixture of lemon juice and vinegar for 30 min exposure time respectively. A reduction of 2.4 was obtained when lettuce leaves with high load (5.1 log10 CFU/g) were dipped in vinegar-lemon mixture for 30 min. However all treatments; vinegar, lemon and their mixture significantly reduced the bacterium load on lettuce with low inoculum (4.0 log10 CFU/gm) to an undetectable level. Rocket and lettuce samples treated with vinegar, lemon or their mixture were analyzed for consumer acceptability by sensory evaluation using a 9-point hedonic scale. The results suggested that the use of these disinfecting treatments reduced pathogen loads on rocket and lettuce more effectively and did not negatively affect the important sensory characteristics of the plants. 1 Faozia A. Ibrahim, 2 Radya A. Mustafa, 1 Suleiman Abusalloum, 2 M.S. Eljadar 1 Depertment of Food Science and Technology, University of Omer El-Mukhtar. 2 Faculuty of veterinary, University of Omer
Hexacopter using MATLAB Simulink and MPU Sensing

- This paper deals with the control of an Unmanned Armed Vehicle with 6 rotors, commonly known as a hexacopter. It is highly unstable and difficult to control due to its non-linear nature. A hexacopter flying machine is underactuated; it has six degrees of freedom and four control signals (one thrust and three torques). The control algorithm is developed using Newton-Euler angles and PID controllers. The mathematical model of the hexacopter is described. The results of the algorithm are obtained as presented in this paper.
Younger Adults' Understanding of Questions for a Service User Experience Survey. Funded/commissioned by: The Health and Social Care Information Centre

For some time now councils with social services responsibilities (CSSRs) have been required to conduct surveys of user’s experience of social services. These have taken place nationally in three-yearly cycles. In 2002/03 the survey was for older people, in 2003/04 it was for younger adults with physical and sensory impairments, and in 2004/05 it was for children. 2005/06 marked the beginning of the second wave of the cycle. The mandate for conducting surveys of user’s experiences and satisfaction with services was first given in the white paper Modern Local Government: in Touch with the People (Department for the Environment, Trade and the Regions, 1998). In 2002 the Office of National Statistics (ONS) and SPRU developed a set of questionnaires for this purpose (Qureshi and Rowlands, 2004). Subsequent national surveys have drawn on this work to identify a set of compulsory questions for each round. User experience surveys (UESs) are regarded as an important part of the overall performance framework for social care and, providing councils with information about how they might improve services locally. Local authorities are required to submit their results to government bodies so that the relative performance of the CSSRs can be judged. This report is composed of five sections. The aims and objectives of the report are outlined in the second section and the method used to gather the data is outlined in section 3. In section 4 we report on the findings from the fieldwork and draw some conclusions and recommendations for the national survey in section 5. The topic guides for the focus groups and interviews are included in the appendices along with a brief discussion of the findings from the focus groups and a copy of the final extended questionnaire.
A STUDY ON KNOWLEDGE EXTRACTION PROCESS AND ITS IMPACT WITH RESPECT TO COGNITIVE IOT

Internet of Things (IOT) and knowledge discovery are the two sides of the coin and both go together. In the absence of one, there is no use of other. Paper focuses on data generating sources and Knowledge discovery from that data and tools which are useful for the discovery of the knowledge and technique, which are to be followed for the purpose of discovering meaningful data from the huge amount of data . It also focus on types of the data and data generative sources and impact of those tools and technique for knowledge discovery. Internet of Things (IOT) word is very booming in technological market and everyone is talking about the term Smart city especially in India and with reference to keyword smart city, IOT comes with it. The Small word IOT but very big responsibility comes on the shoulders of the technical person to Play with it and extract the data from the IOT and it connecting things this paper is focusing on the tools and technique used for knowledge discovery.