Miracle-dz/UniFAR-FTUs huggingface dataset:
Position detection and route correction of electric vehicles by dynamic wireless charging

Abstract During the dynamic wireless charging of electric vehicles, the offset from the vehicle Rx coil will reduce the mutual inductance of the coupling mechanism, which results in a significant reduction on the transmission efficiency of the system. Now a real-time detection method of electric vehicle position based on double coils is proposed. By analyzing the change trend of the pickup voltage in the detection coil, the correspondence among the lateral deviation distance, the offset angle and the pickup voltage is obtained by difference ratio sum method, the position information of electric vehicle will be worked out. Then the PID with variable structure was deployed algorithm to realize the self-correction of the electric vehicle driving route. The construction of experimental platform verifies the feasibility of the positioning method. The results revealed that when a lateral deviation takes place, this method can guarantee the automatic correction to the path of an electric vehicle during the dynamic wireless charging process. The advantages of this method are high sensitivity, fast correction speed, a simple structure, etc.
Assessment of health-care professionals’ knowledge and attitudes on sexuality and aging: an integrative review

ABSTRACT This study aims to establish an understanding of (a) health-care professionals’ knowledge and attitudes; and (b) tools used to assess sexuality in older people living with/(out) dementia and those identified as lesbian, gay, bisexual, trans, or intersex (LGBTI) individuals. An integrative review of the literature, as registered on the PROSPERO international Prospective Register of Systematic Reviews (CRD42019129589), was conducted. A comprehensive and systematic literature search was performed for the period between 2009 to 2019 across eight electronic databases: CINAHL, PubMed, MEDLINE, Web of Science, Cochrane library, Embase, PsycINFO, and Scopus, together with a manual search of reference lists. Screening of titles, abstracts, and full texts of eligible studies plus quality appraisal (using the Mixed Methods Appraisal Tool) were independently conducted by two reviewers with disagreements resolved via discussion with a third reviewer. Nineteen articles were reviewed with three themes identified from the synthesis: 1) varying knowledge and attitudes amongst health-care professionals; 2) needs for professional development opportunities and support from workplace and 3) lack of recent validated tools to assess knowledge and attitudes. Health-care professionals’ knowledge and attitudes toward sexuality in older people living with/(out) dementia and those identified as LGBTI individuals are varying. Sexuality education and professional development training are needed to enhance their knowledge and attitudes and build skills in order to manage sexuality concerns. Current assessment tools are inadequate, highlighting the need for an appropriate assessment tool to be developed.
Therapeutic potential of autologous mesenchymal stem cells derived from synovial fluid in patients with degenerative arthritis

The possibility to isolate synovial fluid-derived mesenchymal stem cells (SFMSCs) from patients with degenerative arthropathy has been an interest since synovial fluid (SF) from osteoarthritis (OA) patients offered a unique stem-cell resource for therapeutic applications. In this study, we successfully isolated, cytogenetically and molecularly characterized, and followed the differentiation potency of human mesenchymal stem cells (MSCs) from SF. The morphology of proliferating SFMSCs showed fibroblast-like morphology, and both the population doubling time (DT) and viability of MSCs from bone marrow, adipose, and SF did not differ. The immunophenotype of SFMSCs was confirmed by the positive expression of CD44, CD73, CD90, CD105, and CD106 by flow cytometry and immunocytochemistry, and the expression of the hematopoietic markers, CD34 and CD45, was not found. In all MSCs from three different origins, we measured the mRNA expression of developmentally important transcript factors such as KLF4, c-Myc, Sox2, and OCT4. SFMSCs from OA patients showed normal chromosomal number, structure, and telomerase activity. SFMSCs showed multipotent capacity, and was differentiated into neurocyte, adipocyte, osteocyte, and chondrocyte in vitro, as demonstrated by specific stains and expression of molecular markers. In addition, SFMSCs also have the capacity to secrete immunomodulating factors (IL-4, IL-10, IL-13, and transforming growth factor-β (TGF-β)) involved in the therapy of rheumatoid arthritis (RA). These results demonstrate that SFMSCs from OA-patients might provide therapeutic options for RA and OA.
Optimizing the topologies of heating, ventilation, and air-conditioning water systems in supertall buildings: A pilot study

The vertical topologies of HVAC water systems in supertall buildings are one major concern, which yet has been determined in experience-based manners. Therefore, the current article proposes a computational optimization procedure to search optimal design of system topologies, as well as component sizing and control settings. To reduce the computational efforts, the vertical topologies are simplified by considering only major components (e.g., air-handling units, heat exchangers, and chillers). Since both electricity consumption and capital cost are primary concerns for system design, the optimization problem has been solved using a two-objective solver, Nondominated Sorting Genetic Algorithm II. This optimization problem is then validated using a supertall building in Shanghai, and it is concluded that the generated solutions are superior in terms of both electricity consumption and capital cost. Finally, parametric analyses are conducted to provide insight into the uncontrollable variables (i.e., building location, building characteristics) with the hope that system design can be facilitated.
A Critical appraisal on Password based Authentication

There is no doubt that, even after the development of many other authentication schemes, passwords remain one of the most popular means of authentication. A review in the field of password based authentication is addressed, by introducing and analyzing different schemes of authentication, respective advantages and disadvantages, and probable causes of the ‘very disconnect’ between user and password mechanisms. The evolution of passwords and how they have deep-rooted in our life is remarkable. This paper addresses the gap between the user and industry perspectives of password authentication, the state of art of password authentication and how the most investigated topic in password authentication changed over time. The author’s tries to distinguish password based authentication into two levels ‘User Centric Design Level’ and the ‘Machine Centric Protocol Level’ under one framework. The paper concludes with the special section covering the ways in which password based authentication system can be strengthened on the issues which are currently holding-in the password based
Molecular characterization of a PR4 gene in Chinese cabbage

Abstract A cDNA clone for a wound‐ and pathogen‐induced gene in Chinese cabbage (Brassica rapa subsp. pekinensis) was isolated and characterized. The cabbage gene, designated BrPR4, encodes a pathogenesis‐related protein 4 (PR4) of 140 amino acids. The BrPR4 protein shows high similarity with wound‐inducible antifungal proteins of tobacco, potato, barley, and wheat. The BrPR4 gene is locally induced by a nonhost pathogen, Pseudomonas syringae pv. tomato, that elicits a hypersensitive response in Chinese cabbage. Treatment of the cabbage leaves with benzothiadiazole (BTH), methyl jasmonate or ethephon showed that the BrPR4 gene expression is strongly induced by ethylene, but not by methyl jasmonate or BTH. The BrPR4 gene is also activated by wounding. Interestingly, however, the wound‐inducible BrPR4 gene expression is repressed by salicylic acid or BTH, suggesting that there is cross‐talk between salicylate‐dependent and ‐independent signaling pathways.
Catalytic mechanism of scytalone dehydratase from Magnaporthe grisea

The catalytic mechanism of scytalone dehydratase was examined by studying alternative substrates and site-directed mutations of active-site residues. Searches for an enol intermediate by looking for a half-reaction with authentic scytalone and 3,4-dihydro-6,8-dihydroxy-1-(2H)-2-[ 13 C]naphthalenone were negative. An alternative substrate, 2,3-dihydro-2,5-dihydroxy-4H-benzopyran-4-one (DDBO), was nearly equal to scytalone as substrate for the enzyme, and DDBO's anomeric effect in stabilizing a partial carbocation center at C3 does not substantially contribute to the mechanism. Kinetic analysis of site-directed mutations of active-site amino acid side chains within the enzyme's active site provided an account for the role of these residues in the enzyme-catalyzed dehydration reactions. A concerted E2 elimination for the catalytic mechanism is proposed.
Use of Gill Nets for Target Verification of a Hydroacoustic Fisheries Survey and Comparison with Kokanee Spawner Escapement Estimates from a Tributary Trap

Abstract The focus of this study was to determine whether gill nets are a valid method for assessing species composition for a hydroacoustic survey and whether the hydroacoustic and gill-net survey could be used to forecast the spawn escapement of kokanee Oncorhynchus nerka so as to allow fisheries managers to plan ahead for egg takes at Sullivan Lake, Washington. We conducted a mobile hydroacoustic survey of the limnetic zone of Sullivan Lake in September 2003. Species composition was estimated using floating, sinking, and suspended horizontal and vertical gill nets. Spawning escapement was estimated from a weir, trapping, and carcass recovery effort in Harvey Creek, the only spawning tributary of Sullivan Lake. Fish captured in gill nets ranged from 110 to 579 mm total length (TL), but 82% of the fish captured were between 150 and 290 mm TL. Kokanee were the dominant fish species captured in the limnetic gill nets, comprising 77% of the fish captured between 150 and 290 mm TL and 90% of the fish capture.
Conversation Cards for Adolescents ©: a patient-centered communication and behavior change tool for adolescents with obesity and health care providers

ABSTRACT Background: Health care providers (HCPs) report barriers to effective communication with adolescents with obesity when discussing lifestyle behavior change and may benefit from tailored health communication tools to use during consultations with this uniquely challenging group of patients. Our purpose was to describe the content, design, production, dissemination, and application of Conversation Cards for Adolescents © (CCAs), a patient-centered, bilingual (English and French) tool intended to facilitate adolescent-HCP communication as well as lifestyle and behavior changes among adolescents with obesity. Methods: Our multiple mixed-methods, cross-language, and patient-oriented research included three interrelated steps and was conducted in 2018–19 with 19 adolescents with obesity, 3 HCPs, and profit and non-profit organizations. These included data prioritization activities (Step 1), semi-structured telephone interviews (Step 2), and production and dissemination in collaboration with Obesity Canada (Step 3). Results: In Step 1, adolescents prioritized 153 barriers, enablers, and recommendations related to the adoption of healthy lifestyle behaviors among adolescents with obesity. In Step 2, adolescents, HCPs, and researchers co-designed CCAs, which resulted in creating a hard copy deck of 45 cards organized into seven suits that were equally distributed across three categories (barriers, enablers, recommendations). In Step 3, 500 English and 200 French copies of CCAs were refined, produced and disseminated online. Conclusions: Our research generated a practical, patient-centered, bilingual tool for HCPs that was designed to optimize clinical communication and tailored messaging for lifestyle behavior change among adolescents with obesity.
Machine Learning Applied to Positive Displacement Compressors and Expanders Performance Mapping

Positive displacement compressors are critical components in today’s vapor compression refrigeration, air conditioning, and heat pumping applications and can also be applied as expanders in power generation systems, such as organic Rankine cycles (ORC). The simulation of such systems is essential to predict and optimize the performance behavior at fulland part-load conditions. To this end, comprehensive system models are built by including different submodels corresponding to each cycle component (e.g., heat exchangers, compressor, linesets). In general, the higher the complexity of each sub-models utilized to capture the physics, the higher the computational time required to solve a simulation run. In this work, deep learning is utilized to obtain high-accuracy performance predictions of positive displacement machines. A fixed-speed two-phase injected and vapor injected scroll compressor for air-conditioning applications and an oil-free scroll expander for low-grade waste heat recovery by means of an ORC are considered as test cases. In particular, Artificial Neural Network (ANN)-based models have been developed for each of the machines and trained using experimental data collected at the Ray W. Herrick Laboratories. The results of the training and testing of the models are presented as well as a discussion of the reliability of such models for extrapolating performance. In addition, the ANN models are compared with conventional empirical and semi-empirical modeling approaches. The models have been implemented in the Python programming language by using the open-source Keras package.
Remaining useful life prediction for the air turbine starter based on empirical mode decomposition and relevance vector machine

An air turbine starter (ATS) is used to start the aero-engine before an aircraft takes off, which plays a significant role in the reliable operation of the aero-engine and is critical to the flight security, so it is vital to monitor the health and predict the remaining useful life (RUL) for the ATS. This paper proposes a fusion framework based on the combination of empirical mode decomposition (EMD) and relevance vector machine (RVM). EMD is used to smooth out the non-stationary data by pattern decomposition, and the multiple intrinsic mode functions (IMF) which can effectively reflect the fault characteristics, are carefully selected from all IMFs by kurtosis index technique. RVM is used to train the selected smooth IMFs samples and establish a regression model for remaining useful life prediction. In addition, the subtraction clustering technique is introduced to reduce the samples scale and speed up the RVM’s training efficiency. The effectiveness of the proposed fusion framework is illustrated via an experiment of ATS, and the results show that the proposed method has satisfactory prediction performance.
A New Report on Edible Tropical Bolete, Phlebopus spongiosus in Thailand and Its Fruiting Body Formation without the Need for a Host Plant

Abstract Phlebopus spongiosus is a well-known edible ectomycorrhizal mushroom indigenous to southern Vietnam. The mushroom specimens collected from northern Thailand in this study were identified as P. spongiosus. This identification was based on morphological characteristics and the multi-gene phylogenetic analyses. Pure cultures were isolated and the relevant suitable mycelial growth conditions were investigated. The results indicated that the fungal mycelia grew well on L-modified Melin-Norkans, and Murashige and Skoog agar all of which were adjusted to a pH of 5.0 at 30 °C. Sclerotia-like structures were observed on cultures. The ability of this mushroom to produce fruiting bodies in the absence of a host plant was determined by employing a bag cultivation method. Fungal mycelia completely covered the cultivation substrate after 90–95 days following inoculation of mushroom spawn. Under the mushroom house conditions, the highest amount of primordial formation was observed after 10–15 days at a casing with soil:vermiculite (1:1, v/v). The primordia developed into a mature stage within one week. Moreover, identification of the cultivated fruiting bodies was confirmed by both morphological and molecular methods. This is the first record of P. spongiosus found in Thailand and its ability to form fruiting bodies without a host plant.
Estimation of ground-level dry PM2.5 concentrations at 3 km resolution over Beijing using Geostationary Ocean Colour Imager

ABSTRACT In this study, aerosol optical depth (AOD) and fine-mode fraction (FMF) with a 3 km resolution are retrieved from Geostationary Ocean Colour Imager (GOCI) data using a multi-temporal method. The retrieved results are input into a physical model for estimating the fine particulate matter (PM2.5) based on instantaneous satellite-based measurements. The other two input parameters of the model are planetary boundary layer height (PBLH) and atmospheric relative humidity (RH), which are simulated by the Weather Research and Forecasting (WRF) model and have the same spatial resolution as AOD and FMF. For better time-matching, the time of the simulated PBLH and RH is almost the same as that of the retrieved AOD and FMF, and is selected when uniform mixing of aerosols occurs within boundary layer in the afternoon. Finally, the ground-level dry PM2.5 concentrations at a 3 km resolution are estimated over Beijing. The GOCI-estimated PM2.5 results are validated by in situ measurements in the study area. The means of GOCI-estimated and in situ results are very close (131.2 μg m−3 versus 123.0 μg m−3) and the correlation coefficient is about 0.84 with a linear slope of 0.81 and intercept of 31.1 μg m−3, which shows good performance of GOCI in air-quality monitoring.
PERFORMANCE EVALUATION OF DIFFERENT LINEAR EQUATION SOLVERS FOR SOLVING NONLINEAR FE PROBLEMS ON MULTICORE ARCHITECTURES

The aim of this paper is to evaluate the performance of existing parallel linear equation solvers to solving large-scale, nonlinear finite element analysis problems on systems with distributed memory. The parallel approach allows us to take an advantage of the distributed memory enabling forming large system matrices and of multiple processing units to achieve significant speedups. Our study is based on comparison of parallel direct solver and parallel iterative solver implemented in SuperLU DIST library from Portable, Extensible Toolkit for Scientific Computation (PETSc). Both considered solvers are designed for distributed system memory model and are based on a Massage Passing Interface (MPI). The efficiency of individual solvers is evaluated on a selected benchmark problems, with different solution strategies by comparing computation times and obtained speedups.
Antifungal activity of dimethyl sulfoxide against Botrytis cinerea and phytotoxicity on tomato and lettuce plants

Abstract For the first time the antifungal activity of dimethyl sulfoxide (DMSO) was evaluated against Botrytis cinerea, that it is one of the phytopathogenic fungi which causes the greatest damage in agriculture. In in-vitro tests, the greatest inhibitory effect of DMSO on fungal grow was recorded at pH 6. A significant growth inhibition was caused by 0.5% DMSO at 96 h post-inoculation. With higher DMSO concentrations, significant effects were recorded starting from 48 h post-inoculation. As the medium pH decreased, the inhibitory effect of DMSO also decreased. At pH 4 and 5 significant growth inhibition was caused by 1% DMSO starting from 72 h post-inoculation. At all tested pH values, a total growth inhibition was caused by ≥ 2% DMSO. On tomato leaves infected with B. cinerea, 2% DMSO significantly decreased the extent of damaged leaf area. The administration of DMSO at concentrations ranging from 0.5 to 2% through nebulization on leaves of young Solanum lycopersicum and Lactuca sativa plants did not change the chlorophyll fluorescence (Fv/Fm and ΦPSII) at any of the experimental times. Overall, the data obtained suggest that, at the concentrations tested, DMSO is toxic to B. cinerea, while it is well tolerated by lettuce and tomato plants.
When Learning as Movement meets Learning on the Move

Abstract Considering the special issue on learning-on-the move in light of earlier work on learning as movement, this commentary reflects on how the articles in the special issue expand the field’s theoretical matrix of the sociohistorical, cognitive, sociopolitical, sociocultural, relational, and spatial. Taken together, they tease out new subject-object, subject-subject, and culture-nature relations, and explore the significance of the movement of people and tools across and within tasks, place, everyday events, and interactions in terms of learning and development, human agency, and dignity.
Using the Basic Efficiency Criteria to Estimate the Security of the New Digital Algebraic Generator System (NDAGS)

The Multiplicative Cyclic Group has been used to construct a New Digital Algebraic Generator System (NDAGS). This cryptosystem can be classified as a stream cipher cryptosystem. In this paper we will estimate the efficiency and security of the (NDAGS) by using the Basic Efficiency Criteria (BEC). A comparison has made between the some known generators and (NDAGS). The results of applying the BEC and the comparison results proof the high efficiency of the (NDAGS).
Statistical Modeling of Gabor Filtered Magnitude for Batik Image Retrieval

This paper presents an effective and efficient way on statistical modeling of Gabor filtered magnitude to generate an image feature descriptor. Two statistical distributions, i.e. Gaussian and Rayleigh distributions, are considered in the image feature extraction. The image feature is simply constructed by concatenating the distribution estimators of Gabor filtered magnitudes under different scales and orientations. As documented in the experimental section, the proposed method yields good performance in the Batik image retrieval system. In addition, the performance of Gabor feature can be improved by injecting the color feature in order to capture the color richness of an image.
The Performance and Nutrient Use Efficiency of Two Contrasting Systems of Organic Milk Production

ABSTRACT During a four year study, two contrasting systems of organic milk production were studied to determine differences in soil nutrient status, crop production, milk output and quality, efficiency of feed conversion and the effect on animal performance. The key aim of the first system was to increase the levels of both self-sufficiency and sustainability of the system by establishing a balanced crop rotation and minimizing the imports of nutrients. The second system was based on increasing the output and flexibility of the system by establishing a forage-only cropping strategy and importing purchased concentrate feeds into the system. The results showed that increasing the level of self sufficiency led to an improved nutrient input/output balance and improved efficiency of milk production from forage but not an increased efficiency of total feed utilization. This type of system is dependent on the production of high-energy forage to meet the cow's nutrient requirement and avoid problems of reduced milk persistency during early lactation, lower milk quality and reduced fertility. In the system based on purchased concentrate feeds, higher levels of both crop energy and milk output were recorded without any adverse effects on milk persistency during lactation. The flexibility of the system ensured that any potential deficiency or imbalance in the availability and quality of the forages produced within the system was avoided by the import of concentrate feeds. However, the reliance on purchased rather than home-grown concentrate feed reduced the sustainability of the system and also led to both a lower efficiency of forage utilization and reduced milk output from forage.