Miracle-dz/UniFAR-FTUs huggingface dataset:
Atmospheric Nutrient Deposition : Impacts on Marine Ecosystems and Biogeochemical Cycles Anthropogenic aerosols and climate variability control decadal variability of dissolved oxygen in the North Pacific

1. School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, U.S.A. Email: taka.ito@eas.gatech. edu 2. School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA. 3. Biospheric Science Branch, NASA Ames Research Center, Moffett Field, CA. 4. Marine, Earth, and Atmospheric Science, North Carolina State University, Raleigh, NC. 5. School of Oceanography, University of Washington, Seattle, WA.
Kidney Health for Everyone Everywhere - From Prevention to Detection and Equitable Access to Care

The global burden of chronic kidney disease (CKD) is rapidly increasing with a projection of becoming the 5th most common cause of years of life lost globally by 2040. Aggravatingly, CKD is a major cause of catastrophic health expenditure. The costs of dialysis and transplantation consume up to 3% of the annual healthcare budget in high-income countries. Crucially, however, the onset and progression of CKD is often preventable. In 2020, the World Kidney Day campaign highlights the importance of preventive interventions – be it primary, secondary or tertiary. This complementing article focuses on outlining and analyzing measures that can be implemented in every country to promote and advance CKD prevention. Primary prevention of kidney disease should focus on the modification of risk factors and addressing structural abnormalities of the kidney and urinary tracts, as well as exposure to environmental risk factors and nephrotoxins. In persons with pre-existing kidney disease, secondary prevention, including blood pressure optimization and glycemic control, should be the main goal of education and clinical interventions. In patients with advanced CKD, management of co-morbidities such as uremia and cardiovascular disease is a highly recommended preventative intervention to avoid or delay dialysis or kidney transplantation. Political efforts are needed to proliferate the preventive approach. While national policies and strategies for non-communicable diseases might be present in a country, specific policies directed toward education and awareness about CKD screening, management and treatment are often lacking. Hence, there is an urgent need to increase the awareness of the importance of preventive measures throughout populations, professionals and policy makers.
De-worming school children and hygiene intervention.

Helminths or worm infestations refer to worms that live as parasites in the human body and are a fundamental cause of disease associated with health and nutrition problems beyond gastrointestinal tract disturbances. Globally, over 3.5 billion people are infected with intestinal worms, of which 1.47 billion are with roundworm, 1.3 billion people with hookworm and 1.05 billion with whipworm. School children aged 5-15 years suffer the highest infection rate and worm burden that attributes to poor sanitation and hygiene. About 400 million school-age children are infected with roundworm, whipworm and hookworm worldwide, a large proportion of whom are found in the East Asia region (Cambodia, China, Lao PDR, Thailand and Vietnam). These parasites consume nutrients from children they infect, thus retarding their physical development. They destroy tissues and organs, cause abdominal pain, diarrhoea, intestinal obstruction, anaemia, ulcers and other health problems. All of these consequences of infection can slow c.
This is a postprint version of the following published document: González, Sergio, et al. 5G-Crosshaul: an SDN/NFV control and data plane architecture for the 5G integrated Fronthaul/Backhaul. Transactions on emerging telecommunications technologies, 27(9) special issue 5GPPP, Pp

This paper presents the control and data plane architecture design for a 5G transport solution (5G-Crosshaul) with the aim of integrating the fronthaul and backhaul network segments in a common transport stratum. The control plane relies on the Software-defined networking/Network Functions Virtualization concept to control and orchestrate the different elements of the network (the 5G-Crosshaul control infrastructure). The data plane is based on an mixed optical/packetbased forwarding entity (the 5G-Crosshaul forwarding element) that leverages the benefits of optical passthrough with the statistical multiplexing of packet-based transmission, working on top of a common frame format for both, fronthaul, and backhaul traffic (the 5G-Crosshaul common frame). In addition to the main architecture design, this work includes the impact of providing multi-tenancy support into the architecture of the overall system, in order to share the costs of building and operating the infrastructure among different operators. This architecture opens the 5G transport network as a service for innovative network applications on top (such as multitenancy, and resource management ), provisioning the required network and IT resources in a flexible, cost-effective, and abstract manner. The proposed design supports the concept of network slicing pushed by the industry for realizing a truly flexible, sharable, and cost-effective future 5G system. Copyright © 2016 John Wiley & Sons, Ltd. *Correspondence Sergio González, Department of Telematics, Universidad Carlos III de Madrid, Madrid, Spain. E-mail: serggonz@pa.uc3m. es Received 1 April 2016; Revised 7 June 2016; Accepted 10 June 2016
Solution of Pulp Tissue by Chemical Agents

The elimination of necrotic pulp tissue from the root canal is important for the ultimate success of a root-canal operation. To attain this end, both mechanical and chemical means are employed. Among chemical agents used for this purpose may be mentioned sulfuric acid (Callahan'), sodium-potassium alloy (Schreier2), sodium dioxide (Kirk3), sodium methylate (Levene4), papain (Wilkinson 5) and chlorinated soda solution (Walker6). Solutions of hydrochloric acid, sodium hydroxide and potassium hydroxide have also been used and advocated for disintegration or solution of pulp tissue. Of historical rather than practical interest is the use of maggots for cleansing the canal of necrotic tissue, as suggested by Dreher. 7 The purpose of this study was to determine which of the agents already mentioned, or others believed to have a solvent action on tissue, is more effective. Sponer, 8 Blum 9 and Holst and Pedersen ~~ undertook somewhat similar studies, limiting themselves to fewer chemical agents or including proprietary agents not known in this country. M E T H O D
UROLOGICAL ONCOLOGY IL-6 Genomic Variants and Risk of Prostate Cancer

Results: The study included 130 PCa cases, 200 BPH cases and 200 healthy men. The C allele of rs1800795 was associated with PCa risk in the assessed population (OR (95% CI) = 1.45 (1.06-1.98)). However, the frequency of rs2069845 variants was not significantly different between PCa, BPH and control groups. The A C haplotype (rs2069845 and rs1800795 respectively) was associated with PCa and BPH risk (OR (95% CI) = 1.67 (1.122.48); OR (95% CI)= 1.78 (1.25 – 2.54)). Besides, the A G haplotype (rs2069845 and rs1800795 respectively) has a protective effect against both PCa and BPH in the assessed population (OR (95% CI) = 0.63 (0.46-0.87); OR (95% CI)= 0.6 (0.45-0.79)).
Perception of Delayed Onset Muscle Soreness in Children and Adults Trained, Submitted to a Training Session of Force Eccentric

This study aimed to investigate the influence of an eccentric ST session on the DOMS in children and adults. The sample comprised 10 children / pre-teens (age: 11.3 ± 0.82) and 10 adults (age: 24.5 ± 5.58 years) of both sexes. The 10 maximum repetitions test was applied (10MR) in the bench press (BP) on different days separated by 72 hours. After testing 10MR was calculated 10MR 110%, load at which the subjects performed five sets of 15 repeats spaced by 3 minutes of recovery. It was analysed in individuals the sense of discomfort through the Visual Analogue Scale (VAS), where they were questioned about the presence of localized pain in the pectoral / deltoid and upper limb triceps. Thus, for the children were found differences between the five and four moments (p = 0.004) and six one (p = 0.0016). For adults, the time difference was found six for the moment one (P = 0.0014) and no difference between children and adults was found (P> 0.05). It was concluded that in this study children and adults have similar responses from LOMS perception peaking at up to 24 hours after an eccentric training.
On an Approach to Measure the Level of Polarization of Individuals’ Opinions

In this paper, we propose a new metric to evaluate the level of polarization of individuals’ opinions. Our approach is suitable in the case where opinions are evaluated by scalar values representing personal attitudes towards a fixed issue. We demonstrate how the metric works, applying it to a time series of VKontakte users’ opinions that are devoted to a political topic. We report an increase in the level of polarization.
A D-band Fully-Integrated 2-RX, 1-TX FMCW Radar Sensor with 13dBm Output Power

In this paper, we present a fully-integrated frequency-modulated continuous-wave radar transceiver working in the D-band. The transceiver is equipped with two receivers and one transmitter. The transmitter is based on a high-speed quadrature-phase-shift-keying modulator and each of the two receivers is based on a fully-differential I/Q receiver. The radar sensor can be operated in a single-input multiple-output configuration to perform Doppler, range, and angular measurements. The D-band quadrature signals for the transmitter and the two receivers are generated using transmission-line based hybrid couplers. The transceiver utilizes a $\times 6$ frequency multiplier chain with state-of-the-art power-added-efficiency and conversion gain of 3% and 27dB, respectively. The transmitter has a measured peak output power of around 13dBm at 122GHz, which is the highest reported power for Si-based D-band radar sensors. The receivers are designed to be tolerant to high transmitter leakage signals and provide a measured conversion gain of around 14dB. The entire transceiver runs on 1.8V and 3.3V supply voltage has a DC power consumption of 1.2W. The chip size is 3mm $\times 3$ mm.
Grey Wolf Optimization Based MPPT Algorithm for Solar PV System with SEPIC Converter

In this study, the Grey Wolf Optimization (GWO) based maximum power point tracking (MPPT) algorithm with a single-ended primary-inductor converter (SEPIC) converter is proposed for solar photovoltaic (PV) systems. SEPIC converter which has voltage step-up and step-down capability removes the non-operational zones related about the input voltage. The PV module current and voltage are used as inputs of the GWO based MPPT algorithm. It determines the duty cycle of the converter and controls the operating point to track the maximum power point for any operating condition. Proposed system is designed and simulated in MATLAB/Simulink to test its performance for different operating conditions. Simulation results have proved the fast response and improved steady state performance of proposed MPPT method and SEPIC converter.
Incorporate Doubts in Fuzzy Logic

In fuzzy logic we carefully design membership functions to obtain proper values that represent the degree of truthiness. In most of the cases, membership functions deal with the most important and common factors/parameters that affect the degree of truthiness and at the same time, might ignore some factors that could decrease the degree of truthiness and increase the degree of doubt. Ignoring the doubts yields to not accurately get the degree of truthiness values. In this paper we explain what we mean by doubts and how it might affect the calculation of the degree of truthiness and finally we propose an approach to consider the degree of doubts and how it is incorporated in membership functions.
Research on Urine Sediment Images Recognition Based on Deep Learning

Detection of urine sediment microscopic images of human urine samples plays an important part in vitro examination. Doctors usually use automatic urine sediment analyzer to assist manual examine. At present, automatic urine sediment analyzers mostly use traditional method of artificial feature extraction to recognize urine sediment images. However, traditional image processing methods based on the selection and combination of feature operators and classifiers require a lot of work and subjective experience for engineers in the implementation process. It’s also difficult to deal with urine sediment images recognition tasks with large scale categories, and particles in some different categories are often confused in recognition using traditional image processing methods, such as red blood cells (RBCs) and white blood cells (WBCs). In this paper, a combination convolution neural network (CNN) recognition method with area feature algorithm is proposed. The disadvantage that CNN can weaken the area feature of input image is solved by area feature algorithm (AFA) proposed in this paper. The network models which use 300,000 urine sediment images for training can quickly and accurately recognize 10 categories of urine sediment images, and several confusing categories’ recognition indexes are remarkably improved. The test accuracy in the test set reached 97%.
Cascaded Model Predictive Control for Shared Autonomous Electric Vehicles Systems with V2G Capabilities

Shared autonomous electric vehicles (SAEVs) are being introduced in pilot programs and they are expected to be commercially available by the next decade. In this work, we propose a methodology for the joint optimisation of vehicle charging, vehicle-to-grid (V2G) services and fleet rebalancing in mobility systems using SAEVs. The proposed model is implemented as a cascaded model predictive control (MPC) optimisation framework with two different timescales. The first MPC scheme, called energy layer, abstracts the fleet of SAEVs as an aggregate storage system for the sake of model scalability, and it optimises fleet charging and V2G services to minimise electricity cost over a long timescale (hours). The second MPC scheme, called transport layer, optimises short-term vehicle routing and relocation decisions to minimise customers’ waiting times while taking into account the charging constraints derived from the energy layer. A case study using transport and electricity price data for the city of Tokyo is used to validate the model. Results demonstrate that our approach is computationally scalable and it can be applied to large-scale scenarios. In addition, it allows to significantly reduce charging costs with limited impact on passengers’ waiting times
Optimal Resource and Task Scheduling for IoT

The internet of things, or IoT, is a system of interrelated computing devices through which it is possible to transfer data over a network without the help of a human or computer interaction. These devices are provided with unique identifiers (UIDs) and embedded within hardware, objects, electronics, Internet connectivity, animals or people. They are equipped with a supportive Wireless Sensor Network (WSN). Each sensor node is connected to a gateway node through internet and these acts as a repository of user queries; they preprocess and separated into spatial and temporal tasks. The preprocessed tasks should be executed in a suitable sensor node or in a group of sensor nodes, which will make it effective for the application. Resource and task scheduling for the IoT systems was studied which minimizes average data rate and minimum task performing rates of IoT devices. To achieve this goal, we are proposing a hybrid resource and task scheduling algorithm by combining priority non pre-emptive algorithm and Ant Colony Optimization (ACO) to prioritize the tasks and find optimal path to direct them to its concerned sensor node for execution. Here we concentrate on the tasks which do not have a real-time requirement and can be stored in the task queues of the IoT devices and performed later.
Defect Detection of Yarn-dyed Shirts Based on Denoising Convolutional Self-encoder

A defect detection algorithm for dyed shirts with supervised framework relies on a large number of labeling samples and high modeling cost. This paper proposes an automatic detection and location method for color fabric defects based on unsupervised denoising convolution self-encoder. Firstly, a shirt image data set containing 66 kinds of yarn-dyed patterns and a total of 11900 pieces was constructed. Then, Gaussian noise was added to the defect-free samples, and a depth-deconvolution convolution self-encoder was used to construct the image of the yarn-dyed shirt piece. The denoising reconstruction model performs reconstructive repair on the noise interference; Then, the residual of the image is tested and the reconstructed image is calculated, and the slice defect region is detected and located using a mathematical morphology algorithm. The experimental results show that the image reconstruction model and residual image analysis algorithm based on denoising convolution self-encoder can effectively detect and locate the defective area of the dyed shirt piece without relying on the label sample.
High Self-Interference Cancellation Antenna for In-Band Full Duplex Communication System

This paper demonstrates a dual-polarized microstrip patch antenna with high interport isolation for in-band full duplex transceiver. The proposed antenna consists of four port linearly polarized signal radiating elements with differential feedings at input/output ports. The defected ground structure (DGS) under patch has been adopted for enhancement of antenna return loss bandwidth. To achieve high isolation, two identical differential feeding networks using wideband branch-line Balun have been utilized as a self-interference circuit. The analytical design equations have been derived for achieving high isolation in the proposed antenna. For experimental verification, the prototype has been fabricated at the center frequency of 2.5 GHz. The fabricated antenna provides more than 47 dB RF isolation between TX-to-RX port for 100 MHz bandwidth.
A Miniaturized Monolithic PCM Based Scalable Four-Port RF Switch Unit-Cell

This paper reports the design and fabrication of a miniaturized phase-change material (PCM) germanium telluride (GeTe) based radio-frequency (RF) four-port switch cell. It has two states allowing either straight or cross-connection between the ports. The scalability can be achieved to m×n switch matrix by combining unit-cells. The switch cell is fabricated using a six-layer fabrication process which has two metal layers for RF signal routing. The unit-cell consists of a cross-junction and six RF-PCM series switches, arranged in an order to achieve the desired switch functionality. RF-PCM switches are optimized to achieve high resistance ratio between OFF-state and ON-state (Roff/Ron). RF performance is simulated and measured, demonstrating an ON-state insertion loss of less than 1.4 dB and OFF-state isolation better than 20 dB over DC-26 GHz for all possible combinations. The proposed PCM switch cell promises to be useful in the realization of multi-band switchable band reject filters.
Key Technologies for Indoor Positioning Systems

It has always been important to know where we are in the world. In the past we used maps and compasses to find our way but today we are using GPS devices when travelling by foot, car or bike. The developments in location-based techniques and the growing usefulness of ubiquitous computing and context-dependent information have resulted in an increase business interest in location-based applications and services. Currently, there are many applications requiring precise location or real-time tracking of humans, animals or other things inside buildings. The current global positioning system is unreliable for interior spaces. Therefore, demand for indoor localization services is becoming a key requirement.This paper makes an analysis of recent developments in wireless indoor localization methods and systems, to have a better understanding of the state of the art and to inspire new scientific initiatives in this promising area.In order to achieve the purpose of the paper, the existing wireless localization systems and location methods are reviewed, and also comparing the related techniques and systems with future trends.
MH-Net: A Learnable Multi-Hypothesis Network for Compressed Video Sensing

This paper establishes a novel recovery network called MH-Net—a framework for compressed video sensing (CVS) based on recently emerging deep neural networks (DNNs) techniques. MH-Net exploits temporal correlation between frames in the form of multi-hypothesis (MH) prediction, and learns a high-dimensional domain which is more robust for prediction generation. After the MH prediction, a special residual network is used in MH-Net to reconstruct the residuals between the MH prediction and the desired frame from their measurements. The final reconstruction is derived by adding the reconstructed residuals to the MH prediction. Unlike the block-wise reconstruction in existing DNN-based CS architecture, MH-Net builds a mapping from block measurements to a complete frame reconstruction, leading to better reconstruction quality. Benefitting from the DNN’s nature, the forward propagation of MH-Net is extremely fast, making it suitable for real-time applications. Experimental results show that MH-Net presents a better recovery performance compared with existing DNN-based recovery methods and traditional iterative recovery algorithms.
Efficient Detection Scheme for Physical-Layer Network Coding in Multiway Relay Channels

In this paper, we propose a novel scheme for physical-layer network coding (PNC) in multiway relay channels (MWRC) from the perspective of sequential multiuser detection. We consider an uplink MWRC scenario where <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> users, each equipped with a single antenna, simultaneously transmit their signal to a relay equipped with <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> antennas (<inline-formula> <tex-math notation="LaTeX">$K < N$ </tex-math></inline-formula>). Extraction of the network codes from the superimposed user signals at the relay node is formulated as an under-determined linear system. To solve this problem with low decoding complexity, the proposed method combines successive interference cancellation (SIC) with Babai estimation for regularized integer least squares (ILS). Specifically, SIC decoding is first employed to detect a selected subset of stronger user signals and remove their interfering effects. Babai estimation is then applied to extract the remaining user signals, which is formulated as an ILS problem with reduced dimension. We develop a power allocation scheme to enhance the performance of both SIC and ILS steps, and discuss an optimal user pairing strategy based on the average decoding error probability. Numerical results demonstrate the performance improvement of the proposed method in extracting network codes from multiple superimposed user signals.
Novel Protection System for Electrical Systems with Limited Short-Circuit Current

This contribution describes the layout of a novel protection system for electrical systems, that are supplied by a source with limited short-circuit current capacity. This system consists of a primary analogue under voltage protection device for ac voltages, programmable solid-state power controllers and a central control logic. Possible application scenarios are described for the protection system. An initial single phase prototype is presented, which is used to test the basic protection features.