Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Recognition of Brain Networks for EEG-based Upper-limb Motion

Recent advances in Brain-Computer-Interface (BCI) have allowed us to construct robotic arms for remote control and rehabilitation systems. The analysis and recognition of motor-related brain signals and activities are the key of such BCI systems. However, most previous studies are powerless to deeply reveal the working mechanism of the brain during motion executions and adopt low-accuracy strategies for modeling and pattern recognition. With the introduction and development of network neuroscience in the field of BCI, it allowed us to analyze brain activities for motor-related EEG signals and build principled models to improve the performance of feature extraction and pattern recognition. Therefore, this study concentrates on the construction and analysis of brain networks. Partial directed coherence (PDC) was employed to construct brain networks based on EEG signals for analyzing and recognizing brain activities of different movements (hand opening, hand closing, elbow flexion, and wrist flexion). Features were extracted from brain networks for pattern recognition, and Random Forest (RF) classifier was used to classify different movements. The results indicate that different motion patterns can be related to corresponding network structures and illustrates significant differences among information transmissions. In addition, the results of motion recognition based on RF achieve an accuracy of 75.5%, which demonstrate that the proposed method based on brain networks is reliable to analyze EEG signals and can improve the performance of motion recognition.
Current Sharing Structure Analysis and Design of High-Current Thyristor Converters Based on PEEC Method

Current sharing among multi-parallel thyristors is a key task in the design of high-current converters. However, conventional current sharing methods seldom consider the stray inductance which acts a significant role in the current sharing. This paper mainly focuses on stray inductance, and builds a current sharing equation based on Partial Element Equivalent Circuit (PEEC) method for the current sharing analysis and design of high-current converters. The deduction of the equation is presented. As an example, the application of the proposed method in the design of the International Thermonuclear Experimental Reactor (ITER) Poloidal Field Converter Unit (PFCU) is briefly presented. The current sharing coefficient is over 0.8, which is greatly improved and beyond the required value. The method proposed in this paper can be used for the fast design of the physical layout of a converter, and further improve its current sharing along with conventional design methods.
High Throughput and Secure Authentication-Encryption on Asynchronous Multicore Processor for Edge Computing IoT Applications

We describe an Authentication based Matrix-transformation cum Parallel-encryption (AMP-MP) implemented on an Asynchronous Multicore Processor to achieve a high throughput and yet secure Advanced Encryption Standard based on Counter with Chaining Mode (AES-CCM). Our AMP-MP is realized on an 8-bit asynchronous 9-core processor fabricated based on 65nm CMOS process. The experimental results show that the throughput of the authentication is 13.54Gbps while the throughput for both authentication and encryption collectively is 8.32Gbps, which are $17\times$ and $70\times$ faster than the reported counterparty respectively. Based on power dissipation and EM SCA on our AMP-MP, the secret key is unrevealed at $5\times 10^{5}$ traces, which is $\sim 17\times$ more secured than the standard ASIC AES-CCM implementation.
Learning Representation of Secondary Effects for Fire-Flake Animation

This paper proposes a new data-driven neural network-based fire-flake simulation model. Our model trains a neural network using precomputed fire simulation data. The trained neural network model generates fire flakes in appropriate locations and infers their velocity to make them appear natural to their surroundings. The neural network model consists of a fire-flake generator and a velocity modifier. The fire-flake generator uses the velocity, temperature, and density fields of the precomputed fire simulation as inputs to determine the locations at which natural fire flakes would be generated. The velocity modifier takes the velocity field of the precomputed fire simulation as input and infers the velocity of the generated fire flakes so that they appear natural relative to the flame motions and surroundings. Our method adopts a neural network to efficiently improve the fire-flake simulation, enhancing the performance while maintaining the visual quality. Our model is approximately three times faster than the traditional fire-flake model. In particular, our model is 30 times faster in the velocity modification step. Our method is also easier to implement than the existing physically based fire-flake simulation method and can reduce the time spent by artists and developers on their applications.
Generalized Gysel Power divider with Arbitrary Power Ratio and Real Termination Impedances

The generalized design theory of Gysel power divider (GPD) has been proposed in this paper. Unlike conventional GPD, general solutions for GPD using transmission lines with different characteristic impedances and electrical lengths are derived. Further analysis shows that there is a continuum of solutions for the GPD while the existing solutions are subsets. In the closed-form design equations, the power ratio can be selected arbitrarily and the termination impedances of the three ports can be selected as different real values. A prototype has been implemented and tested to verify the proposed design theory at 2 GHz.
A 3D-Printed Wideband Multilayered Cylindrical Dielectric Resonator Antenna With Air Layers

A wideband multilayered cylindrical dielectric resonator antenna (CDRA) using 3D-printing technology is investigated. It includes three cylindrical dielectric rings with decreasing effective dielectric constants, interspersed with two air layers. This multilayered DRA is combined on a cylindrical insert layer with a low dielectric constant to get better impedance matching. To facilitate the 3D-printing, a simple hollow cube unit cell is utilized to reconstruct this multilayered DR. A coaxial probe is used to excite this DRA with multiple TM modes. By merging these modes, a wide measured -10 dB impedance bandwidth of 65.7% (3.56–7.04 GHz) can be obtained, with measured realized gain varying within 2.3 dB across the passband.
Tropical Cyclone Intensity Classification and Estimation Using Infrared Satellite Images With Deep Learning

A novel tropical cyclone (TC) intensity classification and estimation model (TCICENet) is proposed using infrared geostationary satellite images from the northwest Pacific Ocean basin in combination with a cascading deep convolutional neural network (CNN). The proposed model consists of two CNN network modules: a TC intensity classification (TCIC) module and a TC intensity estimation (TCIE) module. First, the TCIC module is utilized to divide TC intensity into three categories using infrared satellite images. Next, three TCIE models based on the CNN regression network that combine different intensity types of infrared satellite images with the TC best track data are presented. The three TCIE models consider classification error with the TCIC module in order to improve TCIE accuracy. A total of 1001 TCs from 1981–2019 were used to verify the proposed TCICENet model, with 844 TCs from 1981–2013 employed as training samples, 76 TCs from 2014–2016 used as validation samples, and 81 TCs from 2017–2019 used as testing samples. In order to reduce the computation burden of training the TCICENet model, various input image sizes were explored. An image size of 170 × 170 pixels achieved the best performance, with an overall root mean square error of 8.60 kt and a mean absolute error of 6.67 kt compared to the best track.
A 28GHz RF Phase Shifter with High Phase Resolution in 180-nm CMOS Technology

This paper presents a Ka-band passive phase shifter in 180-nm CMOS technology. To take advantage of compact size and low insertion loss from switched type phase shifter and high resolution from transmission line type phase shifter, a combination of these two types has been proposed. The post layout simulation shows this 12-bit phase shifter can offer 182° coverage with 4.9° resolution at 28GHz while its total insertion loss is 9.66±0.7 dB and the RMS phase error is 0.5° only. Moreover, it exhibits better than 17 dBm P1dB and occupies 0.734 mm2 area, demonstrating competitive overall performance compared with literature.
Permittivity Measurement of Sucrose Solution Using Complementary Spit-Ring Resonator Sensor

This paper presents measured complex permittivities of sucrose solutions using complementary split-ring resonator (CSRR) sensor. Instead of using the notch-type CSRR for measurement in the published literatures, a CSRR with a bandpass property is developed in this paper to measure the permittivities of sucrose solutions with different concentrations. As compared with the reference permittivities measured by the commercial coaxial probe, the proposed method with the CSRR sensor has the maximum relative errors of -4.56% and -12.67% for the real and imaginary parts of the permittivity, respectively. The measured permittivities also demonstrate that the concentration levels of the sucrose solutions can be accurately discriminated by using the radio-frequency sensing technology.
A new methodology in the study of PVAc-based adhesive formulations

The role of the main components of a PVAc-based wood adhesive formulation in the formation and performance of the adhesive joint was investigated. A new analytical methodology was applied to carry out the chemical separation and characterization of the adhesive components present in the bond line. By using extraction techniques on the wet and dry glues it was possible to observe the variation in the solubility of the adhesive components, for different glue formulations. The swollen-state NMR technique proved to be a very useful tool to characterize the insoluble parts present in the adhesive films. These findings, when put into relation to some specific properties of the adhesive joints, contribute to the understanding of the mechanisms involved in the adhesion process. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2009
Chrome Sludge as an Adsorbent for Colour Removal

The potential of chrome sludge, a waste product from the electroplating industries, to remove colour from aqueous solutions was investigated. Results indicated that the sludge had better affinity for acid than basic dyes. Equilibrium data can be fitted into the Langmuir isotherm with maximum sorption of 30 – 60 mg g−1 for the range of acid dyes studied. The process followed a first order rate kinetics and the rate of dye removal was influenced by concentration and agitation speed.
A least‐action variational method for calculating multidimensional tunneling probabilities for chemical reactions

We present a new method for calculating tunneling probabilities for chemical reactions with arbitrary curvature of the reaction path. The computational effort for obtaining a reaction probability at one energy consists of an integral over tunneling amplitudes for paths starting at various points on the reaction coordinate; for each point along the reaction coordinate, a one‐dimensional search is performed to find the optimal tunneling path starting at that point; and for each tunneling path, a one‐dimensional imaginary‐action integral is evaluated. The method is designed to be applicable and practical even for general polyatomic reactions where no other reliable approach is affordable. To ascertain the accuracy of the method we have applied it to a wide range of one‐ and three‐dimensional atom–diatom reactions on analytic potential energy surfaces for which accurate quantum mechanical rate constants are available. The accuracy, as compared to the accurate quantal calculations, is better than any previousl.
Thermal Analysis and Characterization of Some Cellulosic Fabrics Dyed by a New Natural Dye and Mordanted with Different Mordants

A new natural dye was extracted from Bisham plant then applied to cotton and linen fabrics. The thermal stability of these fabrics in their blank state then dyed by this natural dye (Commiphora-gileadensis), and then mordanted by different mordants that are; Alum (Potassium and Aluminum Sulfate) AL2K2 (SO4). 24H2O - Chrome (Potassium di-Chromate K2Cr2O7 ) and Ferrous sulfate (FeSO4.7H2O) which were applied separately. Thermal analysis is a convenient, useful and reproducible method for characterizing complex organic materials. Thermo-gravimetric analysis (TGA), its differential (DTG) and differential scanning calorimetry (DSC) were used to evaluate the effect of mordanting cotton and linen fabric on their thermal behaviour. These techniques can distinguish between different fiber generic types and between different mordants applied to their dyed fabrics. It was possible to detect the presence of the mordant component when present in small proportions. Although cotton and linen fabrics produce the same DTG peaks, they can be differentiated as their main endothermic peaks occur at significantly different temperature (about 348,339oC respectively). Also, linen fabric produces an asymmetrical deep peak compared with the sharper, more symmetrical peak of cotton.
Work-related Asthma in Crop Farmers

AIM: The objective of the study was to evaluate the influence of occupational exposure on asthma development among crop farmers. METHODS: A cross-sectional study was performed, comprising 87 crop farmers, and 80 office workers, matched by gender and age. Evaluation of subjects included completion of a standard questionnaire on chronic respiratory symptoms, spirometry tests, histamine challenge, serial peak expiratory flow rates (PEFR) measurements, and skin prick tests to occupational and common inhalant allergens. RESULTS: The prevalence of chronic respiratory symptoms in the past 12 months was higher, while the mean values of spirometric parameters were lower in crop farmers. Sensitization to workplace and common inhalant allergens was similar in both groups, whereas frequencies of bronchial hyperresponsiveness (BHR) and asthma were nonsignificantly higher in crop farmers. The prevalence of allergic was significantly higher compared to non-allergic asthma in both groups. Asthma was registered in 8% of crop farmers and was significantly associated with atopy, and positive family history of asthma. Occupational allergic asthma (OA) was registered in 2.3% of crop farmers, while the frequency of work-aggravated asthma was 5.7%. A causal relationship between workplace and asthma, suggesting allergic OA, was documented in two crop farmers with asthma, based on serial PEFR monitoring, but specific workplace agent causing asthma in the affected subjects was not identified. CONCLUSION: The obtained results can contribute in the detection of critical points for action, and serve as a predictive factor in the development of work-related asthma, indicating the need for reduction of adverse occupational exposures through adequate preventive measures, regular health examinations, obligatory use of respiratory protective equipment, and implementation of engineering controls. Edited by: Sasho Stoleski Citation: Stoleski S, Minov J, Karadzinska-Bislimovska J, Mijakoski D, Atanasovska A, Bislimovska D. Work-related Asthma in Crop Farmers. Open Access Maced J Med Sci. 2020 Sep 02; 8(E):528-537. https://doi.org/10.3889/oamjms.2020. 5255
Surface Landmarks Combined With Image-guided Sinus Location in the Retrosigmoid Approach and Their Clinical Feature Analysis

Weichi Wu Sun Yat-Sen University Chao Ke Sun Yat-sen University Cancer Center Zhaoyang Liu Jingzhou Central Hospital Xiaoyu Guo Sun Yat-sen University Cancer Center Yi Zhou Sun Yat-sen University Cancer Center Zhu Lin sun yat-sen university Haibin Liu Sun Yat-sen University Cancer Center Yonggao Mou Sun Yat-sen University Cancer Center Ji Zhang (  zhangji@sysucc.org.cn ) Sun Yat-sen University Cancer Center https://orcid.org/0000-0003-0963-1629
Cancer Therapy: Preclinical TherapeuticActivityofAnti-AXLAntibodyagainst Triple-Negative Breast Cancer Patient-Derived Xenografts and Metastasis

Purpose: AXL receptor tyrosine kinase has been described as a relevant molecular marker and a key player in invasiveness, especially in triple-negative breast cancer (TNBC). Experimental Design: We evaluate the antitumor efficacy of the anti-AXLmonoclonal antibody 20G7-D9 in several TNBC cell xenografts or patient-derived xenograft (PDX) models and decipher the underlying mechanisms. In a dataset of 254 basal-like breast cancer samples, genes correlated with AXL expression are enriched in EMT, migration, and invasion signaling pathways. Results: Treatment with 20G7-D9 inhibited tumor growth and bone metastasis formation in AXL-positive TNBC cell xenografts or PDX, but not in AXL-negative PDX, highlighting AXL role in cancer growth and invasion. In vitro stimulation of AXL-positive cancer cells by its ligand GAS6 induced the expression of several EMT-associated genes (SNAIL, SLUG, and VIM) through an intracellular signaling implicating the transcription factor FRA-1, important in cell invasion and plasticity, and increased their migration/invasion capacity. 20G7-D9 induced AXL degradation and inhibited all AXL/GAS6–dependent cell signaling implicated in EMT and in cell migration/invasion. Conclusions: The anti-AXL antibody 20G7-D9 represents a promising therapeutic strategy in TNBC with mesenchymal features by inhibiting AXL-dependent EMT, tumor growth, and metastasis formation. Clin Cancer Res; 23(11); 2806–16. 2016 AACR.
Shape-Controlled Synthesis of Single-Crystalline CdCO3 and Corresponding Porous CdO Nanostructures

Low-dimensional single-crystalline CdCO3 nanostructures such as nanowires, nanobelts, nanorolls, and one-dimensional (1D) hierarchical structures have been synthesized through a convenient, low-temperature hydrothermal method, and the products have been characterized by X-ray diffraction, transmission electron microscopy, field emission scanning electron microscopy, and selected area electronic diffraction. The influences of ammonia concentration, reaction time, and temperature on the morphologies of CdCO3 have been investigated. In addition, these low-dimensional nanostructures can be transformed into oriented CdO nanoporous structures through heat treatment processing, and the corresponding shapes can be preserved completely.
Structure imaging by atomic force microscopy and transmission electron microscopy of different light emitting species of porous silicon

The complex pattern of the nanowire skeletons of different light emitting porous silicon structures is investigated by transmission electron microscopy (TEM) and atomic force microscopy (AFM). Diffraction lines and dark field images are used to identify and determine the crystallite specimen long range order. TEM images give the size and particle orientation, and AFM images show a three‐dimensional pattern formed by an interconnecting skeleton of particles. Near infrared photoluminescent porous silicon (0.006 Ω cm) structures show a skeleton of nanosized silicon aggregates which form domains of spatially oriented crystallites. For red photoluminescent samples (4.9 Ω cm) the electron diffraction spots are discontinuously split into tiny intensity maxima. The diameter of the wire structure forming porous silicon as measured by TEM allows us to estimate the distortion of the AFM images due to the finite size of the tip radius. A critical angle α0=2 arctan[K/(1−K)]1/2, where K is the ratio of the height of th.
Effects of mindfulness-based stress reduction on cervical cancer patients undergoing concurrent radiochemotherapy

Objective: The research in this paper was designed to investigate the effect of mindfulness-based stress reduction on the syndromes, self-perceived burden and quality of life of cervical cancer patients undergoing concurrent radiochemotherapy. Methods: In total, 109 patients with cervical cancer who were admitted to our hospital from February 2015 to May 2018 were enrolled and given concurrent radiochemotherapy. Then based on the method of nursing intervention, they were divided into two groups: control group (CG, n=54), and observation group (OG, n=55). Patients in the CG were treated with conventional nursing care whilst those in the OG were treated with, mindfulness-based stress reduction in addition to the intervention of the CG. Outcome measures included scores of the self-rating anxiety scale (SAS), self-rating depression scale (SDS), Anderson Symptom Assessment Scale (MDASI), self-perceived burden scale (SPBS), revision of Piper fatigue scale, and quality of life scale. Results: (1) After nursing care, patients in the OG reported lower SAS and SDS scores than those in the CG (P < 0.05). (2) By the MDASI scale, patients in the OG had lower scores in numbness, vomiting, sadness, dry, lethargy, decreased appetite, forgetfulness, anhelation, distress, restlessness, nausea, fatigue, and pain after nursing care compared with the CG (P < 0.05). (3) SPBS scores after nursing care in the OG were lower than those in the CG (P < 0.05). (4) Scores of cancer-related fatigue in the OG after nursing care were less than those in the CG (P < 0.05). (5) Quality of life scores in the OG after nursing care were greater than those in the CG (P < 0.05). Conclusions: Mindfulnessbased stress reduction for cervical cancer patients undergoing concurrent radiochemotherapy is beneficial and able to reduce their clinical symptoms, mental stress, self-perceived burden and cancer-related fatigue, and therefore improves their quality of life.
Renormalization group flow, entropy and eigenvalues

The irreversibility of the renormalization group flow is conjectured to be closely related to the concept of entropy. In this paper, the variation of eigenvalues of the Laplacian in the Polyakov action under the renormalization group flow will be studied. Based on the one-loop approximation to the effective field theory, we will use the heat kernel method and zeta function regularization. In even dimensions, the variation of eigenvalues is given by the top heat kernel coefficient, and the conformal anomaly is relevant. In odd dimensions, we will conjecture a formula for the variation of eigenvalues through the holographic renormalization in the setting of geometric AdS/CFT correspondence.
Complex formation reactions between [Pd(piperazine)(H2O)2]2+ and biorelevant ligands: synthesis and equilibrium constants

[Pd(pip)Cl2], [Pd(pip)(cbdca)] ⋅ 2H2O, and [Pd(pip)(malonate)] ⋅ 2H2O complexes were synthesized and characterized, where pip is piperazine and cbdca is cyclobutanedicarboxylate. The stoichiometry and stability of the complexes formed between [Pd(pip)(H2O)2]2+ and various biologically relevant ligands (amino acids, peptides, DNA constituents, and dicarboxylic acids) were investigated at 25°C and 0.1 M ionic strength. The stability constant of the complexes formed in solution was determined and the binding centers of the ligands were assigned. The concentration distribution diagrams of the complexes were evaluated.