Miracle-dz/UniFAR-FTUs huggingface dataset:
RFID Sensors in Medical Applications

Medical information systems are expected to be useful for both logistical and medical personnel. As such, the systems are reliant upon the sensors implemented to acquire information for both groups. Currently, such sensors may be divided by their competency in environment sensing or object identification. Typically, environment sensors are limited by their per-unit price, reducing their scalability. Similarly, current object identification systems involve barcodes which are limited by line-of-sight (LOS). Radio-frequency identification (RFID) proposes a reasonable solution to both problems, through comprehensive and cheap tag designs. Such designs allow real-time monitoring of medical equipment, patient medical adherence as well as new means of disease diagnosis in patients. Consequently, RFID may be viewed as an avenue for improving both medical equipment logistics and diagnostic options.
Air Quality Index, Indicatory Air Pollutants and Impact of COVID-19 Event on the Air Quality near Central China

ABSTRACT Both the air quality index (AQI) and indicatory air pollutants of Anqing, Hefei, and Suzhou near central China from 2017 to 2019, and the impact of COVID-19 epidemic prevention and control actions on air quality were investigated. The combined data for the three cities from 2017 to 2019 indicated that the lowest AQI (averaged 78.1) occurred in the summer season, for which the AQI proportions for classes I, II, III, IV, V, and VI were 25.6%, 49.9%, 21.9%, 2.7%, 0%, and 0%, respectively. The highest (AQI average of 112.6) was in winter, for which the proportions were 7.4%, 39.5%, 33.3%, 12.5%, 7.2%, and 0.1%, respectively. PM2.5, PM10, and NO2 in order were the most important indicatory air pollutants for AQI classes IV, V, and VI, which all prevailed in winter and spring, while O3 was the indicatory air pollutant that occurred most in summer. The COVID-19 event, which triggered global attention, broke out at the end of 2019. This study also investigated and compared the air quality levels in the three cities from January to March 2017–2019 with those in 2020. The results showed that during February 2020, in the three cities, the average ambient air concentrations of PM2.5, PM10, SO2, CO, and NO2 were 41.9 µg m–3, 50.1 µg m–3, 2.18 ppb, 0.48 ppm, and 8.97 ppb, and were 46.5%, 48.9%, 52.5%, 36.2%, and 52.8%, respectively, lower than those in the same month in 2017–2019, respectively. However, the O3 average concentration (80.6 ppb) did not show significant fluctuations and even slightly increased by 3.6%. This is because a lower concentration of NO2 resulted in constraints on the reaction of NO + O3, so the O3 level could not be effectively further reduced. In addition, this study also analyzed and compared the five highest daily AQIs from February 2017–2019 with those of 2020 for the three cities. The mean AQI for the 5 days with the highest daily AQI (averaged 122.6) in February 2020 was 45.1% lower than that for February 2017–2019 (averaging 223.2), and the indicatory air pollutant was always PM2.5, which decreased by 46.7% (from 173.6 to 92.6 µg m–3). It is clear that during the COVID-19 epidemic prevention and control action periods, the air quality near central China improved significantly.
Nomenclature for factors of the HLA system, update September 2011 *

The following sequences have been submitted to the Nomenclature Committee since the August 2011 nomenclature update and, following agreed policy, have been assigned official allele designations Marsh et al. (2010). Full details of all sequences will be published in a forthcoming report. Below are listed the newly assigned sequences (Table 1) and confirmations of previously reported sequences (Table 2). The accession number of each sequence is given and these can be used to retrieve the sequence files from the EMBL, GenBank or DDBJ data libraries. Although accession numbers have been assigned by the data-libraries and most sequences are already available, there is still the possibility that an author may not yet have allowed the sequence to be
DNA binding capability of nano-C60 to pBR322 and phenotypic analysis of potential binding effects

Nano particles, particularly nano-C60, have been part of a growing research initiative due to their unique properties. These particles are being investigated for medically relevant purposes, such as drug delivery. Disturbingly, part of this research has suggested the binding of these particles to DNA, which could be detrimental if used in vivo. In this study, we used spectroscopy to test the ability of nano-C60 to bind to pBR322 plasmid, as well as the phenotypic effect of this binding on transformed E. coli DH5α cells. Although we showed that the nano-C60 did interact with DNA, as measured by a significant decrease in absorbance at 260nm, no phenotypic effects of this change were measurable when the plasmid was introduced into the E. coli cells. As such, no conclusion could be drawn concerning the in vivo effects of nano-C60 on cells; however, the presence of nano-C60 was
THE FORECASTING BUDGET REVENUES IN ARDL APPROACH: A CASE OF UZBEKISTAN

This paper contribute to the forecasted total budget revenues in Uzbekistan. It is aim to investigate long run and short run relationship between number of registered company, total number of taxpayers and forecasted total budget revenues from 1998 and 2017. More specifically, this dynamic relationship using bounds testing approach to co integration and the ARDL model. The main empirical findings indicate the existence of directional relationship between the number of registered company and forecasted total budget revenues in short run and long run. This mean that increase the number of registered company leads to go up forecasted total budget revenues. However, a unidirectional relationship between the total number of taxpayers and forecasted total budget revenues are confirmed in the long run and short run.
Polarimetric Semivariogram-Based Spatial Scale Selection for PolSAR Image Segmentation With Mean-Shift Algorithm

Image segmentation has been an important procedure in object-based image analysis (OBIA), which takes image object as a processing unit. The spatial scale in image segmentation has great importance in OBIA. Due to the high heterogeneity and large dynamic range of polarimetric synthetic aperture radar (PolSAR) images, it is often difficult to choose optimal spatial scales. This letter proposes a polarimetric semivariogram-based spatial scale selection method for PolSAR image segmentation. The optimal spatial bandwidth parameter in the mean-shift algorithm is pre-estimated based on the combined polarimetric and statistical analysis of PolSAR images. By implementing a quantitative evaluation of segmentation result, the effectiveness of the proposed method in optimal spatial bandwidth selection for PolSAR image segmentation is verified. Experiments on both the EMISAR and UAVSAR L-band PolSAR data sets testify the validity of the proposed adaptive optimal bandwidth selection strategy for PolSAR images.
Changes in Benthic Macrofauna Associated with a Shallow-Water Hydrothermal Vent Gradient in Papua New Guinea 1

Abstract: Infaunal macroinvertebrates were characterized along an environmental gradient from a shallow-water hydrothermal vent located at Tutum Bay, Ambitle Island, Papua New Guinea. Samples were collected at three sites located at 7.5, 60, and 150 m from the vent and from a nonhydrothermal reference site located to the north. Temperature and arsenic concentration were found to decrease and pH increased with distance away from the vent. At each site, five replicate core samples were taken randomly from a 1 m2 sampling grid. All infaunal invertebrates > 500 µm were sorted, identified to the lowest practical taxonomic level and counted. Results from the macrofauna data show a strong trend of increasing abundance, species richness and diversity relative to distance away from the vent, but even at 150 m the benthic macrofauna appeared to be depressed relative to the reference site. Mollusks were completely absent 7.5 m from the vent, rare at 60 m, and abundant at 150 m, suggesting that the low pH values associated with the hydrothermal activity play an important role in the benthic community structure.
Transactional Leadership and Transformational Leadership, Their Impacts on Job Satisfaction: Islamic Banking in South Sumatra

This study focuses on examining the direct effects of transactional leadership and transformational leadership on job satisfaction by choosing Islamic banking in South Sumatra as object. Five hundred front and back office employees who work at seven Islamic banks from four different locations are selected randomly as respondents, and as many as four hundred and eighty-seven questionnaires are returned in fully filled status. The multiple regression analysis is used to analyze the model in explaining the causal relationship among the three variables, and all items in the questionnaires are first tested for validity and reliability. The results show that all items, 8 items of transactional leadership, 12 items of transformational leadership, and 5 items of job satisfaction are valid and reliable. Hypothesis test results show that transactional leadership and transformational leadership simultaneously influence job satisfaction and there are no partial effects of the two leaderships, transactional or transformational styles on job satisfaction. These support previous studies which stated that transactional leadership and transformational leadership are complementary and interrelated. In addition, the results indicate that the leadership styles have a role in creating job satisfaction directly without any combination of other variables.
Dialysable leukocyte extracts in immunotherapy

Dialysable leukocyte extracts (DLE) are complexes consisting of a large number of low-molecular-weight substances. These extracts have immunomodulatory properties, which are mainly attributed to small peptides commonly referred to as ‘transfer factor’. This review focuses on the characteristics of DLE with transfer factor activity, together with the methods for their preparation and purification. The opportunities for applying the extracts for immunotherapy purposes against various diseases in humans and domestic animals are also discussed. Their ease of preparation and relatively low cost combined with the rapid positive effect they produce will make DLE subject to application in medicine in the future, including their use against new nosological entities.
AMC-Loaded Low-Profile Circularly Polarized Reconfigurable Antenna Array

In this letter, a low-profile circularly polarized (CP) reconfigurable printed antenna array employing switching circuits is reported. To realize low-profile design, an artificial magnetic conductor reflector is adopted and loaded at the bottom of the antenna element. Furthermore, in order to meet the high gain and wide bandwidth requirements of S-band satellite communication systems, a 2 × 4 antenna array is also designed. The proposed antenna array has advantages in three aspects: small size with low profile, polarization diversity, and high radiation efficiency. With this method, this antenna array is simulated, fabricated, and tested with reasonable agreement between measurement and simulation.
Examination of the eye-hand coordination related to computer mouse movement

Eye-hand coordination means the ability to combine seeing and hand movement. Eye-hand coordination is a complex process consisting of a series of conscious actions. The fine motor skills of the hand were not born with us but learned. The development of eye-hand coordination has begun in infancy through various ball games, construction games and puzzle games. Co-ordinated work of eye and hand movement is the basis for many activities. The proper functioning of eye-hand coordination is necessary for many everyday activities such as writing, reading or driving. The joint work of the eyes and hands is vital for certain forms of movement (ball-catching, kicking). The eye plays an essential role in regulating fine movements. In this paper a general eye-hand coordination task is examined in relation to mouse cursor movement on computer screen. An eye-hand tracking system was used to observe the gaze and hand path during the mouse cursor movement and the acquired data were analyzed by statistical t-test.
Threonine - Lysine ratio and its effect on broiler Performance

Researchers keep striving so as to reach cheapest and optimum ration formulation that lead to better broilers performance and carcass characteristics. Feed represents about 70 -80% of the cost of broiler meat production. Protein is considered as the most expensive ingredient in the formulated feed for broilers. Recently the concept of the use of high quality protein in feed formu lated for broilers has been adopted. High quality protein, mainly, means protein with an adequate amount and an appropriate balance of essential amino acids. The most important essential amino acids in poultry diets are methionine, lysine and threonine. They a lso are known as first, second and third or fourth limiting amino acid, respectively. Till now some nutritionist formulating br oilers feed on basis of crude protein, and that might make broilers diet to contain level of amino acids higher than required, and h ence increase the cost of feed. Recently synthetic amino acids become available and that help in reducing the level of crude protein in broilers diet. As it is commonly known, deficiency or excess of essential amino acids in broilers diet will affect the perfor mance, growth, collagen, elastin and mucin formation, bones, gut function and immunity. Threonine also, entered in impo rtant metabolic processes like uric acid formation, protein synthesis and pancreatic enzyme resynthesis. Researchers also reported that, imba lance of essential amino acids will also affect broilers performance because some of these amino acids interact wit h each other.
EFFECT OF CATECHIN RICH GREEN TEA (CAMELLIA SINENSIS) EXTRACTS ON OBESITY TRIGGERED HEPATIC STEATOSIS IN RATS FED WITH HFCS

Tea, the most commonly consumed non-alcoholic beverages is known for its aroma, taste and putative physiological functions. Its richness in flavonoids and other polyphenols had shown a wide range of biological and pharmaceutical benefits. Fatty liver disease is a metabolic syndrome characterized by large vacuoles of triglycerides accumulated in the liver cells by the process of steatosis. Presently weight management is the established treatment advised for fatty liver hepatic steatosisThe present study was designed to evaluate the effects of extracts of Camellia sinensis (green tea) on serum lipid profile in high fructose corn syrup (HFCS) induced fatty liver in rat. Green tea extracts were administered orally at various concentrations to the fatty liver induced mice. The study concluded that green tea extracts possesses antiobese, antilipidemic properties and prevents various complications of fatty liver disease with a prophylactic effect to improve the health.
Variation Analysis, Fault Modeling and Yield Improvement of Emerging Spintronic Memories

The demand for high performance and low power consumption for modern computing devices have resulted in aggressive technology down-scaling, driven by Moore’s law. However, the scaling challenges limit the use of conventional Complementary Metal Oxide Semiconductor (CMOS) memories such as Static Random Access Memory (SRAM) and Dynamic Random Access Memory (DRAM) in advanced technology nodes, primarily due to the increased leakage power. Hence, several new novel nonvolatile memory (NVM) technologies are being researched to replace conventional CMOS memories. Among these, the Spin Transfer Torque Magnetic Random Access Memory (STT-MRAM) is the most promising candidate, as shown by several recent industrial demonstrations. It has several advantageous features such as zero standby leakage, high density, nearly unlimited endurance, and process and voltage compatibility with CMOS technology. Therefore, with all its advantages, STT-MRAM has the capacity to become a universal memory since it can potentially fit into every level of the memory hierarchy. STT-MRAM exhibits stochastic switching behavior and has higher sensitivity to process variation as compared to CMOS memories, significantly affecting its performance, energy and reliability. In addition, the parametric variations in STT-MRAM exacerbates its stochastic switching behavior, leading to both test time fails and reliability failures in the field. Since an STT-MRAM memory array consists of both CMOS and magnetic components, the system level failures in STT-MRAM depends on variations in both these components. As this memory technology gains rapid industrial adoption, analyzing the impact of manufacturing variations and defects becomes extremely important to predict the yield and implement effective yield improvement techniques. In this thesis, we investigate the impact of variations and defects on this novel memory technology. Several tools and frameworks are developed for variability, yield analysis and fault modeling, which can help in the design of reliable STT-MRAM memories.
Analytical Modeling of a Double-Rotor Multiwinding Machine for Hybrid Aircraft Propulsion

In this article, a new double-rotor multiwinding machine (DRMWM) that utilizes the flux modulation principle is proposed for propulsion system of hybrid electric aircrafts (HEAs). First, the operation principle of DRMWMs and the corresponding HEA propulsion configuration are introduced, where different operation modes of two rotors and three sets of windings of DRMWMs to cope with various flight tasks of HEAs are elucidated. Then, an improved subdomain method is utilized to solve the magnetic field distribution of DRMWMs with the consideration of saturation effect of soft-magnetic material (SMM). Finally, a prototype is manufactured to verify the effectiveness of the proposed improved subdomain method in predicting the electromagnetic performances of DRMWMs. The experiment shows that the DRMWM is a good candidate to be applied in HEA with different operation modes.
Cluster headache and anxiety: Results of the EUROLIGHT cluster headache project – An Internet-based, cross-sectional study of people with cluster headache

Objective: The aim of this study is to evaluate how anxiety influences the burden of disease of cluster headache. Methods: Participants completed a modified version of the EUROLIGHT questionnaire. Anxiety was measured with the anxiety subscale of the Hospital Anxiety and Depression scale. An elevated level of anxiety was assumed when eight or more points were scored. Results: The data of 1089 participants were taken for analysis. The score of the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A) correlated weakly with the number of attacks in the last 30 days (r = 0.17). A score of eight and above in the HADS-A was associated with hurting oneself during an attack (odds ratio (OR) = 2.63), worrying about future attacks (OR = 2.95) and reporting of both failed relationships (OR = 2.81) and career problems (OR = 2.65). The odds of feeling understood by family and friends as well as colleagues and employers were lower in anxious persons (OR = 0.35 and 0.40, respectively). Conclusions: Anxiety complicates dealing with cluster headache and strongly aggravates its burden. Instead of finding help in others, anxious persons feel misunderstood and withdraw; relationships fail and difficulties at work arise.
Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum

Tensors are powerful tools for representing and processing multidimensional data. In this paper, an algorithm of dimension reduction for multidimensional data is proposed. We consider both the global and local structures of the data to fully extract important features. Multiplying a tensor by a matrix in mode-n can change the size of a certain dimension of the tensor. Therefore, for the global structure, we use a matrix to span a subspace to minimize the distance between the tensor data and its projection on the subspace for each mode. For local structure, we construct a dimensionality reduction algorithm for tensor data based on local homeomorphism to keep the continuous dependency relationship of the original high-dimensional tensor data unchanged after dimensionality reduced in each locality. The proposed algorithm achieves dimensionality reduction by combining the global subspace projection distance minimum and local homeomorphism, which realizes global variance maximization and maintains the local non-linear geometric structure at the same time. The proposed algorithm performs good feasibility while compared with other advanced algorithms in classification and clustering experiments.
Maximum Correntropy Rauch–Tung–Striebel Smoother for Nonlinear and Non-Gaussian Systems

We propose a new robust recursive fixed-interval smoother for nonlinear systems under non-Gaussian process and measurement noises, i.e., the nominal Gaussian noise is polluted by large noise from unknown distributions. Taking advantage of correntropy in handling non-Gaussian noise, a robust Rauch–Tung–Striebel smoother is derived according to the maximum-correntropy-criterion-based cost functions with nonlinear functions linearized by their first-order Taylor series expansions, where two weights are utilized to adjust the estimation gains of forward filtering and backward smoothing, respectively. Simulation results demonstrate the effectiveness of the proposed smoother in the presence of various non-Gaussian process and measurement noises, especially the shot sequences and multimodal noise.
Lagrangian Model of an Isolated DC-DC Converter With a 3-Phase Medium Frequency Transformer Accounting Magnetic Cross Saturation

This article presents a nonlinear equivalent circuit model of an isolated dc-dc converter with a 3-phase medium frequency transformer. The model takes into account the magnetic cross saturation of the 3-phase core-type magnetic circuit. The model is suitable in detailed electromagnetic transient simulations of power systems involving isolated dc-dc converters. The model is developed using the Lagrange energy method. It involves a matrix of dynamic inductances containing a nonlinear term resulting from core magnetization and a linear term resulting from leakage flux. The model parameters are determined based on a series of magnetostatic finite element method simulations. This approach is convenient when applied to high power transformers offering a limited characterization effort, or if the transformer prototype does not exist. The experimental validation performed on a novel 3-phase MFT prototype in a 100 kW 1.2 kV 20 kHz dual active bridge converter has proved the validity of the model and model parameters. The no-load steady-state and inrush tests and the full-load test show a very good fit between the simulated and experimentally measured waveforms. The comparison with a classical simplified model neglecting magnetic cross saturation shows a significant difference in the no-load inrush test.
Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs

It is of significant importance to investigate the transient behaviors of signed LMS algorithms under the cyclostationary colored Gaussian inputs for the design of corresponding filters in practical applications. In this brief, we derive the analytical models of a family of signed LMS algorithms with the cyclostationary colored Gaussian inputs in the mean and mean-square sense for the nonstationary system identification. Simulation results illustrate the excellent consistency between the simulated results and the theoretical findings.