Miracle-dz/UniFAR-FTUs huggingface dataset:
Circuit-Level Modeling and Simulation of Wireless Sensing and Energy Harvesting With Hybrid Magnetoelectric Antennas for Implantable Neural Devices

A magnetoelectric antenna (ME) can exhibit the dual capabilities of wireless energy harvesting and sensing at different frequencies. In this article, a behavioral circuit model for hybrid ME antennas is described to emulate the radio frequency (RF) energy harvesting and sensing operations during circuit simulations. The ME antenna of this work is interfaced with a CMOS energy harvester chip towards the goal of developing a wireless communication link for fully integrated implantable devices. One role of the integrated system is to receive pulse-modulated power from a nearby transmitter, and another role is to sense and transmit low-magnitude neural signals. The measurements reported in this paper are the first results that demonstrate simultaneous low-frequency wireless magnetic sensing and high-frequency wireless energy harvesting at two different frequencies with one dual-mode ME antenna. The proposed behavioral ME antenna model can be utilized during design optimizations of energy harvesting circuits. Measurements were performed to validate the wireless power transfer link with an ME antenna having a 2.57 GHz resonance frequency connected to an energy harvester chip designed in 65nm CMOS technology. Furthermore, this dual-mode ME antenna enables concurrent sensing using a carrier signal with a frequency that matches the second 63.63 MHz resonance mode. A wireless test platform has been developed for evaluation of ME antennas as a tool for neural implant design, and this prototype system was utilized to provide first experimental results with the transmission of magnetically modulated action potential waveforms.
Hereditary Congenital Methemoglobinemia Diagnosed at the Age of 79 Years: A Case Report

Background: Cardiopulmonary disorders are the most common cause of central cyanosis, and methemoglobinemia is often overlooked in the differential diagnosis of patients with central cyanosis. In most cases, methemoglobinemia is acquired and hereditary congenital methemoglobinemia is rare. Only a few case reports of congenital methemoglobinemia can be found in PubMed. To date, only four cases of congenital methemoglobinemia diagnosed after the age of 50 years have been reported. Case Presentation: A 79-year-old Japanese woman presented at our hospital with the chief complaints of dyspnea and cyanosis. She exhibited cyanosis of the lips and extremities, and her SpO2 was 80%, with oxygen administration at 5 L/min. Blood gas analysis revealed a PaO2 of 325.4 mmHg and methemoglobin level of 36.9%. The SpO2 and PaO2 values were dissociated, and methemoglobin levels were markedly elevated. Genetic analysis revealed a nonsynonymous variant in the gene encoding nicotinamide adenine dinucleotide cytochrome (NADH) B5 reductase 3 (CYB5R3), and the patient was diagnosed with congenital methemoglobinemia. Conclusions: It is important to consider methemoglobinemia in the differential diagnosis of patients with central cyanosis. At 79 years of age, our patient represents the oldest patient with this diagnosis. This report indicates that it is crucial to consider the possibility of methemoglobinemia regardless of the patient’s age.
Evaluating the Efficacy of Second Order Statistical Features for Classification of Mammograms

In the present work, a computer aided classification system has been proposed for classification of mammogram images into normal, benign and cancer classes. The work has been carried out on thirty Digital Database for Screening mammography (DDSM) cases consisting of 10 normal, 10 benign and 10 cancer images. The regions of interest (ROI) have been extracted from the right Medio Lateral Oblique (RMLO) part of the mammogram. We extracted 256×256 pixel size ROI from each case. Texture descriptors based on gray level co-occurrence method by varying the value of inter pixel distance 'd' from 1 to 8 have been used. The SVM classifier has been used for the classification task. The result of the study indicates that GLCM mean and range features computed at d=1 yield the maximum overall classification accuracy of 75% and 65 % respectively.
Shared Leadership and Improvisation: Dual Perspective of Cognition-Affection

Improvisation is an effective way to cope with rapid changes and obtain unexpected opportunities in a complex environment. Based on the cognitive-affective system theory, this study investigates the dual mediating role of cognitive flexibility and emotional intelligence between shared leadership and improvisation and the moderating role of promotion focus. We used multilevel and multi-sourced data to test the theoretical model and used a social network approach to measure shared leadership in teams. Our sample was comprised of 40 teams and 240 team members. The empirical findings indicated that cognitive flexibility and emotional intelligence mediated the relationship between shared leadership and improvisation; promotion focus moderated the relationship between shared leadership and improvisation, and the mediation effect via cognitive flexibility. This study contributes to expanding on improvisation research from the perspective of shared leadership and incorporating both the cognitive and the emotional process of the generation of improvisation into a theoretical framework from a compound perspective, which will open the black box for the mediation mechanism from shared leadership to improvisation. Furthermore, promotion focus is introduced into the research and creatively corresponds to the cognition-affection mediation mechanism, which expands the applicable scope of the regulatory focus theory.
Low-Complexity Direction Finding Method Based on Space-Time Modulated Metasurface

In this paper, we present a X-band space-time modulated metasurface to realize direction finding. An analytic method of recovering the base-band signals is firstly developed. Then the signal covariance matrix is calculated, to estimate the direction of arrival (DOA) through multiple signal classification (MUSIC). Finally, the simulation and experiment were implemented to verify the feasibility of the direction finding system. The proposed method helps to reduce complexity, comparing with antenna array system and has broad application prospects in future wireless communications.
Dynamic performance analysis based on the mechatronic system of power transmission line inspection robot with dual-arm

Dynamic performance of the power transmission line inspection robots (PTLIRs) is of great importance, which would heavily affect the stability of the robot during obstacle avoidance. In this paper, a detailed dynamic performance analysis method of PTLIR is presented by considering the effect on the mechatronic system caused by obstacle avoidance. First, the dynamic modeling of the robot and control system model of the revolute joint are given based on the mechatronic modeling. Then, dynamic characteristics of mechanical subsystem are analyzed by studying the change of the inertia matrix during obstacle avoidance. Next, to analyze the control subsystem performance, three kinds of pole assignment methods which used to tune the controller parameter are compared. Finally, a series of numerical simulations are performed, which prove the time-varying characteristic of load inertia during obstacle avoidance has a great influence on the dynamic performance of the robot, moreover, the changes of natural angular frequency and damping coefficient parameters could be used to evaluate dynamic performance. The main results of the paper can provide an effective tool to analysis dynamic performance of the PTLIR, which is meaningful to improve inspection stability.
Hot Melt Extrusion as an Effective Process in the Development of Mucoadhesive Tablets Containing Scutellariae baicalensis radix Extract and Chitosan Dedicated to the Treatment of Oral Infections

Hot Melt Extrusion (HME) technology was developed to obtain blends containing lyophilized Scutellariae baicalensis root extract and chitosan in order to improve the rheological properties of the obtained blends, including tableting and compressibility properties. (Hydroxypropyl)methyl cellulose (HPMC) in 3 different ratios was used as amorphous matrix formers. The systems were characterized using X-ray powder diffraction (PXRD), Fourier Transform Infrared Spectroscopy with Attenuated Total Reflectance (FTIR-ATR), and in vitro release, permeability, and microbiological activity studies. Then, the extrudates were used to prepare tablets in order to give them the appropriate pharmaceutical form. HPMC-based systems released baicalin more slowly, resulting in delayed peaks in the acceptor fluid. This behavior can be explained by the fact that HPMC swells significantly, and the dissolved substance must have diffused through the polymer network before being released. The best tabletability properties are provided by the formulation containing the extrudate with lyophilized extract HPMC 50:50 w/w. These tablets offer a valuable baicalin release profile while maintaining good mucoadhesive properties that condition the tablet’s retention in the application site and the effectiveness of therapy.
Green IoT: A Review and Future Research Directions

The internet of things (IoT) has a significant economic and environmental impact owing to the billions or trillions of interconnected devices that use various types of sensors to communicate through the internet. It is well recognized that each sensor requires a small amount of energy to function; but, with billions of sensors, energy consumption can be significant. Therefore, it is crucial to focus on developing energy-efficient IoT technology and sustainable solutions. The contribution of this article is to support the implementation of eco-friendly IoT solutions by presenting a thorough examination of energy-efficient practices and strategies for IoT to assist in the advancement of sustainable and energy-efficient IoT technologies in the future. Four framework principles for achieving this are discussed, including (i) energy-efficient machine-to-machine (M2M) communications, (ii) energy-efficient and eco-sustainable wireless sensor networks (WSN), (iii) energy-efficient radio-frequency identification (RFID), and (iv) energy-efficient microcontroller units and integrated circuits (IC). This review aims to contribute to the next-generation implementation of eco-sustainable and energy-efficient IoT technologies.
High-Gain Ultra-Wideband Vivaldi Antenna Using Spoofing Surface Plasmons Polaritons

An ultra-wideband high gain low profile antenna loaded with deceptive surface plasmon (SSPP) structure is proposed. By loading SSPP structure on the front end of Vivaldi antenna, the antenna increases the gain in the required frequency band without reducing the bandwidth, and improves the radiation characteristics of Vivaldi antenna. The antenna can reach 189% of the working bandwidth in the range of $1\sim 35$ GHz. In this range, the antenna has good end emission radiation and the peak gain is 17.3 dBi.
Characterization of Charge Traps Properties in Space Used Fluoropolymers Through Thermo-Stimulated Electrical Methods

Fluoropolymers such as polytetrafluoroethylene (PTFE), fluorinated-ethylene-propylene (FEP), and ethylene tetrafluoroethylene (ETFE) have been tested in the dedicated experimental facility SIRENE (ONERA, Toulouse, France) to perform electric analysis by a technique named thermo-stimulated-induced current (TSC) method. An experimental approach is presented in this article: the objective is to bring into evidence trap distribution and characteristics in space-used polymers by the TSC method and to get a better understanding of the physical mechanisms steering charge transport through isothermal current measurements. The extraction of the physical parameters was carried out with two methods: the initial rise method and the curve-fitting method. The implementation of these parameters in physics models developed at ONERA allows the improvement of our understanding and prediction of charging behavior and radiation-induced conductivity evolution of these polymers under space conditions.
A Novel Pointview of Independent and Identically Distributed Random Data In AI Electromagnetics

Advanced development in deep learning has been drawn a great attention to almost all applications, e.g. computer vision, natural language processing, autonomous vehicle driving, etc. labeled training data plays the most important role in deep learning. Due to vision-based property of deep learning, the penetration of electromagnetic wave is not really suitable for the total solution by using current version of deep learning. In this paper, we introduce independent and identically distributed (i.i.d.) random data in electromagnetics and investigate how to sample training data in EM simulations and tests.
GTMS: A Gated Linear Unit Based Trust Management System for Internet of Vehicles Using Blockchain Technology

As an essential branch of the Internet of Things (IoT), the Internet of Vehicles (IoV) provides users with efficiency and convenience for travel and is gradually replacing vehicle ad hoc network (VANET) as an integral component of intelligent transportation systems. However, due to the rapidly changing network topology and various communication capabilities, the IoV is confronted with more complex network security risks than IoT, such as trust and reputation. To prevent dishonest or malicious nodes from interfering with the IoV communication, we have proposed a Gated Linear Unit (GLU) based trust management system (GTMS) with blockchain in this paper. In the GTMS, the trust level of the node is dynamically adjusted to each message sent, which utilizes the GLU network model with hybrid trust feature extraction to calculate the value instead of a fixed formula. In addition, we design a method based on the blockchain for storing the global trust value. Road Side Units (RSUs) record the trust level adjustment with the modified blockchain technology, which customizes mining difficulty according to the node’s condition. The experimental results demonstrate that the proposed GTMS can detect malicious nodes among the road simulation with greater accuracy than the state-of-the-art method.
Drugs That Mimic Hypoxia Selectively Target EBV-Positive Gastric Cancer Cells

Simple Summary Epstein-Barr virus (EBV) infects greater than 90% of the world’s population and remains in infected people for their lifetime, mostly in a latent form of infection. In some people, latent EBV infection leads to cancer, including EBV-associated gastric carcinomas. Lytic-induction therapy involves switching EBV from a latent to lytic form of infection so that replicating EBV can then kill EBV-infected cancer cells. Here, we examined several classes of drugs for their ability to kill EBV-positive gastric cancer cells while sparing EBV-negative ones. We found that Deferoxamine and Deferasirox, drugs approved for treating iron overload diseases, can selectively kill EBV-positive gastric cancer cells grown in culture. However, when administered to immunodeficient mice, these drugs failed to significantly induce lytic EBV infection in EBV-positive gastric tumors that had been ectopically grown in the animals. Abstract Latent infection of Epstein-Barr virus (EBV) is associated with lymphoid and epithelial cell cancers, including 10% of gastric carcinomas. We previously reported that hypoxia inducible factor-1α (HIF-1α) induces EBV’s latent-to-lytic switch and identified several HIF-1α-stabilizing drugs that induce this viral reactivation. Here, we tested three classes of these drugs for preferential killing of the EBV-positive gastric cancer AGS-Akata cell line compared to its matched EBV-negative AGS control. We observed preferential killing with iron chelators [Deferoxamine (DFO); Deferasirox (DFX)] and a prolyl hydroxylase inhibitor (BAY 85-3934 (Molidustat)), but not with a neddylation inhibitor [MLN4924 (Pevonedistat)]. DFO and DFX also induced preferential killing of the EBV-positive gastric cancer AGS-BDneo and SNU-719 cell lines. Preferential killing was enhanced when low-dose DFX (10 μM) was combined with the antiviral prodrug ganciclovir. DFO and DFX induced lytic EBV reactivation in approximately 10% of SNU-719 and 20-30% of AGS-Akata and AGS-BDneo cells. However, neither DFO nor DFX significantly induced synthesis of lytic EBV proteins in xenografts grown in NSG mice from AGS-Akata cells above the level observed in control-treated mice. Therefore, these FDA-approved iron chelators are less effective than gemcitabine at promoting EBV reactivation in vivo despite their high specificity and efficiency in vitro.
Adaptive boundary control of an axially moving belt system with high acceleration/deceleration

In this study, an adaptive boundary control is presented for vibration suppression of an axially moving belt system. First, the infinite-dimensional model of the belt system including the dynamics of high acceleration/deceleration and distributed disturbance is derived by utilising the extended Hamilton's principle. Subsequently, by using Lyapunov's synthesis method and an adaptive technique, an adaptive boundary control is developed to suppress the belt's vibration and compensate for the system parametric uncertainties. With the proposed control, the stability of the closed-loop system and the uniform boundedness of all closed-loop signals are both ensured. Besides, the S-curve acceleration/deceleration method is adopted to plan the belt's axial speed and the disturbance observer is used to mitigate the effects of unknown boundary disturbance. Finally, the control performance of the closed-loop system is successfully demonstrated through simulations.
CHICHEN ITZA AND ITS ECONOMY AT THE END OF THE CLASSIC PERIOD: TRIBUTE, CENTRALIZED REDISTRIBUTION, AND MARITIME STATIONS

Abstract Studies of the ancient economy associated with the Classic and Postclassic periods of Maya civilization show that, in order to explain it, the market economy model has been widely used, where economic transactions were carried out in marketplaces. In this type of economy, goods are exchanged based on an agreed value that takes into account supply and demand. However, other types of exchange, such as tribute and centralized redistribution, could have been used in those transactions instead of a market economy. This article analyzes the role that tribute and centralized redistribution may have played during the heyday of Chichen Itza between the tenth and eleventh centuries. This site seems to have used its powerful military supremacy to extract tribute from sites and regions it conquered militarily and politically as they experienced their collapse. In addition, the archaeological evidence suggests that Chichen Itza made political as well as economic alliances in different regions of the Maya Lowlands in order to obtain sumptuous goods. These commodities were used by members of the elite to reinforce the power structure and consolidate social relations among the different individuals who inhabited that community located in northern Yucatan.
Single cell metabolic imaging of tumor and immune cells in vivo in melanoma bearing mice

Introduction Metabolic reprogramming of cancer and immune cells occurs during tumorigenesis and has a significant impact on cancer progression. Unfortunately, current techniques to measure tumor and immune cell metabolism require sample destruction and/or cell isolations that remove the spatial context. Two-photon fluorescence lifetime imaging microscopy (FLIM) of the autofluorescent metabolic coenzymes nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD) provides in vivo images of cell metabolism at a single cell level. Methods Here, we report an immunocompetent mCherry reporter mouse model for immune cells that express CD4 either during differentiation or CD4 and/or CD8 in their mature state and perform in vivo imaging of immune and cancer cells within a syngeneic B78 melanoma model. We also report an algorithm for single cell segmentation of mCherry-expressing immune cells within in vivo images. Results We found that immune cells within B78 tumors exhibited decreased FAD mean lifetime and an increased proportion of bound FAD compared to immune cells within spleens. Tumor infiltrating immune cell size also increased compared to immune cells from spleens. These changes are consistent with a shift towards increased activation and proliferation in tumor infiltrating immune cells compared to immune cells from spleens. Tumor infiltrating immune cells exhibited increased FAD mean lifetime and increased protein-bound FAD lifetime compared to B78 tumor cells within the same tumor. Single cell metabolic heterogeneity was observed in both immune and tumor cells in vivo. Discussion This approach can be used to monitor single cell metabolic heterogeneity in tumor cells and immune cells to study promising treatments for cancer in the native in vivo context.
Camera Attachment for Automatic Measurement of Single-Wheat Kernel Size on a Perten SKCS 4100

A simple camera was attached to a Perten Single-Kernel Characterization System (SKCS) 4100 to measure single kernel morphology as they are fed through the SKCS. The camera and lighting were positioned above the SKCS weigher bucket. Each image of a wheat kernel was captured and processed in 15 to 60 ms. Image measurements included kernel area, length, and width.
Efficient wavelength shifting over the erbium amplifier bandwidth via cascaded second order processes in lithium niobate waveguides

We investigate two schemes for wavelength conversion based on the cascading of two successive second order processes in a quasi-phase-matched lithium niobate channel waveguide. Efficient conversion over the full erbium amplifier bandwidth is possible with a single multi-hundred milliwatt pump laser operating around 1.55 μm.