Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel L-Slot Matching Circuit Integrated with Circularly Polarized Rectenna for Wireless Energy Harvesting

Radio frequency (RF) power harvesting allows wireless power delivery concurrently to several remote RF devices. This manuscript presents the implementation of a compact, reliable, effective, and flexible energy harvesting (EH) rectenna design. It integrates a simple rectifier circuit with a circularly polarized one-sided slot dipole antenna at 2.45 GHz Industrial, Scientific, Medical (ISM) frequency band for wireless charging operation at low incident power densities, from 1 to 95 μ W/cm 2 . The rectenna structure is printed on a single layer, low cost, commercial FR4 substrate. The integration of the rectifier and antenna produces a low-profile and high performance circularly polarized rectenna. In order to maximize the system efficiency, the matching circuit introduced between the rectifier and antenna is optimized for a minimum number of discrete components and it is constructed using multiple of L-slot defects in the ground plane. For a given input power of − 6 dBm intercepted by the circularly polarized antenna with 3 dBi gain, the peak RF-DC (radio frequency-direct current) conversion efficiency is 59.5 % . The rectenna dimensions are 41 × 35.5 mm 2 . It is demonstrated that the output power from the proposed rectenna is higher than the other published designs with a similar antenna size under the same ambient condition. Thanks to its compact size, the proposed rectenna finds a range of potential applications for wireless energy charging.
Use of charge sharing to reduce energy consumption in wide fan-in gates

This paper presents a novel technique to reduce the energy and delay of dynamic large fan-in gates. The basic idea is to generate a low swing output signal by first charging a small dummy capacitor and then discharging it on the (pre-discharged) gate output. By employing the principle of charge sharing, a small swing will be created on the gate output. This swing can be then detected and restored to CMOS level using a sense amplifier. Simulation results illustrates 2 to 4 times energy savings and up to 3.6 times speed-up as compared to conventional dynamic approaches. The design of a 32/spl times/32 TLB in a 0.6 um process using the proposed approach is also described.
Modeling the sliding window mechanism

The sliding window (SW) mechanism is widely used for policing schemes in the frame relay network. Many performance studies have already been performed. All of them have considered the algorithmic description, the only one available till now for the SW. A queueing model is given for the SW mechanism. Its conformity to the algorithmic behaviour is proved through simulation. A diffusion approximation method is then used to resolve the queueing model. The aim of this approximation is to build up analytical equations describing the behaviour of the SW mechanism with a general input process.
Improvement of throughput fairness in IEEE 802.11 based WLANs using successive interference cancellation

In this paper, we study the throughput fairness performance in IEEE 802.11 based wireless local area networks (WLANs) without and with successive interference cancellation (SIC) technique. We consider a single rate WLAN with carrier sense multiple access with collision avoidance (CSMA/CA) medium access control (MAC) protocol for MAC layer and a SIC technique at the physical layer. We determine the throughputs of the users in IEEE 802.11 WLANs without and with SIC technique via simulation and then calculate the fairness index. Through extensive simulation results, we demonstrate that SIC technique not only significantly increases throughput in WLANs but also throughput fairness. However, the improvement of fairness index for enabling SIC technique is higher at a low transmit power and it decreases with increasing the transmit power of the users. We also obtain that for a WLAN with SIC technique the variation of fairness index with transmission power is very low.
Co-expression of calcium channels and delayed rectifier potassium channels protects the heart from proarrhythmic events

Cardiac electrical activity is controlled by the carefully orchestrated activity of more than a dozen different ion conductances. Yet, there is considerable variability in cardiac ion channel expression levels both within and between subjects. In this study we tested the hypothesis that variations in ion channel expression between individuals are not random but rather there are modules of co-expressed genes and that these modules make electrical signaling in the heart more robust. Meta-analysis of 3653 public RNA-Seq datasets identified a strong correlation between expression of CACNA1C (L-type calcium current, ICaL) and KCNH2 (rapid delayed rectifier K+ current, IKr), which was verified in mRNA extracted from human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM). In silico modeling, validated with functional measurements in hiPSC-CM, indicates that the co-expression of CACNA1C and KCNH2 limits the variability in action potential duration and reduces susceptibility to early afterdepolarizations, a surrogate marker for pro-arrhythmia. Impact Statement Coexpressed levels of potassium and calcium ion channel genes in the heart encode more robust cardiac electrophysiology and provide insights into genetic basis of arrhythmic risk
Green space and mental health symptoms in a cardiac rehabilitation population

The association between mental health symptoms and the quantity of green space surrounding the homes of people who recently experienced a cardiovascular event were examined while also assessing plausible mechanisms. Both objective- and perception-based metrics were used to characterize the amount of green space in a half-mile buffer around the homes of 142 participants enrolled in a cardiac rehabilitation program. Participants completed the Depression, Anxiety and Stress Scale to assess mental health symptoms. Increased quantity of green space around the home was associated with fewer depressive symptoms but was not clearly associated with symptoms of anxiety and stress. Physical activity in green space was associated with lower odds of all three outcomes, while having green space in view from the home was not associated with any outcome. These results suggest that increased accessible green space near the home may improve depression and promote recovery in this population. This may be due to physical activity in this space.
SCP: A Simple Chunk Parser

Chunk parsing, also called shallow parsing or partial parsing, is a technique described by Steven Abney (1991). Intuitively, when one reads a sentence, one deciphers it a piece at a time. A chunk parser attempts to model human parsing by breaking the text up into small pieces, each parsed separately. Chunk boundaries correspond roughly to the pauses in everyday speech. Abney defines chunks in terms of major heads:
Combined EGFR and ROCK inhibition in TNBC leads to cell death via impaired autophagic flux

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with very limited therapeutic options. We have recently shown that the combined inhibition of EGFR and ROCK in TNBC cells results in cell death, however, the underlying mechanisms remain unclear. To investigate this, here we applied a mass spectrometry-based proteomic approach to identify proteins altered upon single and combination treatments. Our proteomic data revealed autophagy as the major molecular mechanism implicated in the cells’ response to combinatorial treatment. In particular, we here show that EGFR inhibition by gefitinib treatment alone induces autophagy, a cellular recycling process that acts as a cytoprotective response for TNBC cells. However, combined inhibition of EGFR and ROCK leads to autophagy blockade and accumulation of autophagic vacuoles. Our data show impaired autophagosome clearance as a cause of antitumor activity. We propose that the inhibition of the autophagic flux upon combinatorial treatment is attributed to the major cytoskeletal changes induced upon ROCK inhibition, given the essential role the cytoskeleton plays throughout the various steps of the autophagy process.
Isolamento e caracterização genética de Toxoplasma gondii de gatos ferais no Arquipélago de Fernando de Noronha, Pernambuco, Brasil

Toxoplasma gondii e um coccideo intracelular obrigatorio formador de cistos teciduais, responsavel pela toxoplasmose, zoonose de grande impacto na saude publica. E capaz de infectar a maioria dos animais homeotermicos, incluindo humanos. Os felideos sao os unicos hospedeiros definitivos, apresentando grande importância na epidemiologia da toxoplasmose pela capacidade de eliminar oocistos nas fezes, contaminando o ambiente. Este estudo teve como objetivo isolar e genotipar T. gondii em gatos ferais (Felis catus) do Arquipelago de Fernando de Noronha, Estado de Pernambuco, Brasil. Durante o periodo de um ano, gatos ferais fracos foram capturados pelo Centro de Vigilância Animal do Arquipelago. Apos contencao quimica (quetamina 10% e xilazina 1%) foram coletadas amostras de sangue de 31 felinos ferais de diferentes localidades da Ilha. Esses animais doentes, posteriormente, vieram a obito e fragmentos de encefalo, coracao, pulmao, diafragma e figado foram coletados. As amostras de sangue foram destinadas a sorologia por meio da Reacao de Imunofluorescencia Indireta (RIFI) para pesquisa de anticorpos (IgG) anti-T.gondii e os fragmentos de tecido deos felinos positivos na RIFI foram submetidos ao bioensaio em camundongos para isolamento do protozoario. Anticorpos anti-Toxoplasma gondii foram detectados em 18/31 (58%) felinos. Sete animais tiveram seus tecidos submetidos ao bioensaio, obtendo-se dois isolados de T. gondii nao patogenicos para camundongos. A genotipagem foi realizada por meio da PCR-RFLP multilocus, utilizando 10 marcadores geneticos (SAG1, SAG2, SAG3, BTUB, GRA6, c22-8, c29-2, L358, PK1 e Apico). Uma cepa atipica de T. gondii (ToxoDB #146) foi identificada, sendo este o primeiro relato deste genotipo em gatos ferais no mundo. Os resultados obtidos neste trabalho contribuem para o estudo da epidemiologia molecular deste agente e permitem concluir que a infeccao por T. gondii ocorre na populacao de felinos do Arquipelago. Medidas de controle baseadas na educacao sanitaria devem ser reforcadas para prevenir a infeccao dos felinos e reduzir as fontes de infeccao para outros hospedeiros intermediarios, sobretudo para a populacao humana desta Ilha.
A partitioned quasi-newton solution technique for fluid-structure interaction problems using a coarsened grid to accelerate the convergence of the coupling iterations

Previous stability analyses on Gauss-Seidel coupling iterations in partitioned fluid-structure interaction simulations have demonstrated that Fourier modes with a low wave-number in the difference between the current and correct interface displacement are unstable. To stabilize these modes, the IQN-ILS technique automatically constructs a least-squares model of the flow solver and structural solver. In this work, the multi-level IQN-ILS technique (ML-IQN-ILS) is presented, which uses a coarsened grid of the fluid and structure subdomains to initialize this least-squares model. As the modes that need to be present in this least-squares model have a low wave-number, they can be resolved on a coarsened grid. Therefore, in each time step, a number of cheap coupling iterations is first performed on the coarsened grid to construct the model, followed by a smaller number of coupling iterations on the fine grid. As the iterations on the coarse grid are fast and fewer iterations are performed on the fine grid, the total duration of the simulation decreases compared to a simulation on the fine grid only.
Techniques for finding ring covers in survivable networks

Given an arbitrary telecommunications network N our goal is to find the minimum cost for equipment which will enable N to survive an arbitrary link fault. We consider uni-directional and bi-directional ring technologies. Basically, our goal is to find minimum cost ring covers for any network N, where a ring cover is a set C of rings such that every link in N is covered by (i.e. part of) at least one ring in C. If a network N is augmented with enough equipment to support a given ring cover C, it can respond to a link failure immediately (and automatically) by routing the disrupted traffic through surviving links in the ring that covers the failed link. We describe an efficient algorithm to find a minimum cost ring cover for uni-directional transmission rings under simplifying assumptions. This algorithm offers a useful heuristic for computing low cost ring covers for existing networks and actual cost functions. We also provide efficient heuristics to find nearly minimum cost ring covers for bi-directional transmission rings. We show that certain versions of the bi-directional problem are NP-complete, hence (presumably) no efficient algorithm exists that always finds a minimum cost ring cover. However, our heuristics perform well in practice.
INTEGRATION OF A LARGE-SCALE EIGENMODE SOLVER INTO THE ANSYS c WORKFLOW ENVIRONMENT

The numerical computation of eigenfrequencies and eigenmodal fields of large accelerator cavities, based on full-wave, three-dimensional models, has attracted considerable interest in the recent past. In particular, it is of vital interest to know the performance characteristics, such as resonance frequency, quality figures and the modal fields, respectively, of such devices prior to construction given the fact that the physical fabrication of a cavity is expensive and time consuming, a device that does not comply with its specifications can not be tolerated; a robust and reliable digital prototyping methodology is therefore essential. Furthermore, modern cavity designs typically exhibit delicateand detailed geometrical features that must be considered for obtaining accurate results. At PSI the three-dimensional finite-element code femaxx has been developed to compute eigenvalues and eigenfields of accelerator cavities (Arbenz et al., 2006). While this code has been validated versus experimentally measured cavity data, its usage has remained somewhat limited due to missing func tionality to connect it to industrial grade modeling software. Such an interface would allow creating advanced CAD geometries, meshing them in ANSYS and eventually exporting and analyzing the design in femaxx. We have therefore developed pre and postprocessing software which imports meshes generated in ANSYS for a femaxx run. A postprocessing step generates a result file than can be imported into ANSYS and further be analyzed there. Thereby, we have integrated femaxx into the ANSYS c workflow so that detailed cavity de signs leadingto large meshes can be analyzed with femaxx, taking advantage of its capability to address very large eigenvalue problems. We have also added functionality for parallel visualization to femaxx. We present a practical application of the pre and postprocessing codes and compare the results against experimental values, where available,and other numericalcodes when the model has not yet been fabricated.
Stomatal opening and growth in tomato seedlings treated with different proportions of red and blue light

Abstract: Stomatal opening/closure plays a key role in balancing a plant’s need to conserve water, while still allowing for the exchange of photosynthetic and respiratory gasses with the atmosphere. Stomatal opening/closure can be induced by differences in light quality but a detailed knowledge of the role of light in stomatal regulation in tomato is limited. In this study, we evaluated red and blue light-dependent stomatal opening processes in tomato seedlings and explored the mechanisms involved using different light-quality treatments. After 10 h of darkness, tomato seedlings were subjected to the following five treatments: monochromatic red light (R), 33% blue (2R1B), 50% blue (1R1B), 67% blue (1R2B), and monochromatic blue light (B) at 200 μmol m-2 s-1 light intensity. The highest stomatal conductance recorded were for 1R1B. Stomatal aperture under 1R1B showed a 92.8% increase after 15 min and a 28.6% increase after 30 min compared with under R alone. Meanwhile, the study shows that the expressions of the plasma membrane H+-ATPase in the leaf were regulated by different proportions of blue light. The results show that the expressions of HA1 and HA4 increased under 1R1B and 1R2B after 15 min of exposure compared with under R alone. Under 1R1B, our results also show net photosynthesis increased compared with R and B after longer treatments, which may be related to chloroplast ultrastructure, and leaf dry weight increased compared with under 1R2B or B alone, but there were no differences under the R and 2R1B light treatments.
On approximating projection games

The projection games problem (also known as LABEL COVER) is a problem of great significance in the field of hardness of approximation since almost all NP-hardness of approximation results known today are derived from the NP-hardness of approximation of projection games. Hence, it is important to determine the exact approximation ratio at which projection games become NP-hard to approximate. The goal of this thesis is to make progress towards this problem. First and foremost, we present a polynomial-time approximation algorithm for satisfiable projection games, which achieves an approximation ratio that is better than that of the previously best known algorithm. On the hardness of approximation side, while we do not have any improved NP-hardness result of approximating LABEL COVER, we show a polynomial integrality gap for polynomially many rounds of the Lasserre SDP relaxation for projection games. This result indicates that LABEL COVER might indeed be hard to approximate to within some polynomial factor. In addition, we explore special cases of projection games where the underlying graphs belong to certain families of graphs. For planar graphs, we present both a subexponential-time exact algorithm and a polynomial-time approximation scheme (PTAS) for projection games. We also prove that these algorithms have tight running times. For dense graphs, we present a subexponential-time approximation algorithm for LABEL COVER. Moreover, if the graph is a sufficiently dense random graph, we show that projection games are easy to approximate to within any polynomial ratio.
Rdf vocabulary description language 1.0 : Rdf schema

The Resource Description Framework (RDF) is a general-purpose language for representing information in the Web. This specification describes how to use RDF to describe RDF vocabularies. This specification defines a vocabulary for this purpose and defines other built-in RDF vocabulary initially specified in the RDF Model and Syntax Specification. Status of this Document This document has been reviewed by W3C Members and other interested parties, and it has been endorsed by the Director as a W3C Recommendation. W3C's role in making the Recommendation is to draw attention to the specification and to promote its widespread deployment. This enhances the functionality and interoperability of the Web. This is one document in a set of six (Primer, Concepts, Syntax, Semantics, Vocabulary, and Test Cases) intended to jointly replace the original Resource Description Framework specifications, RDF Model and Syntax (1999 Recommendation) and RDF Schema (2000 Candidate Recommendation). It has been developed by the RDF Core Working Group as part of the W3C Semantic Web Activity (Activity Statement, Group Charter) for publication on 10 February 2004. Changes to this document since the Proposed Recommendation Working Draft are detailed in the change log. http://www.w3.org/TR/2004/REC-rdf-schema-20040210/ (1 of 19)04/05/2004 12:04:32 RDF Vocabulary Description Language 1.0: RDF Schema The public is invited to send comments to www-rdf-comments@w3.org (archive) and to participate in general discussion of related technology on www-rdf-interest@w3.org (archive). A list of implementations is available. The W3C maintains a list of any patent disclosures related to this work. This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health

A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome’s functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, but despite its usefulness, it has rarely been used in clinical studies due to its complexity, cost, and bioinformatic challenges. This method has also received criticism due to potential intra-sample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, called Viomega, which was specifically developed for population-scale studies. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. We applied this method to 10,000 human stool samples, and performed several small-scale studies to demonstrate sample stability and consistency. In summary, Viomega is an inexpensive, high throughput, automated, and accurate sample-to-result stool metatranscriptomic technology platform for large-scale studies and a wide range of applications.
A 1.2-V Current-Mode RMS-to-DC Converter Based on a Novel Two-Quadrant Electronically Simulated MOS Translinear Loop

A novel current-mode CMOS RMS-to-DC converter using translinear techniques is introduced. It is based on a squarer/divider cell that is implemented using an electronically simulated loop with a novel biasing scheme that allows its operation in two quadrants. The cell is designed using a differential input current and a small signal first order filter to implement the voltage averaging, leading to a compact solution that can be used with low voltage supplies. The converter has been fabricated in a standard 130-nm CMOS process, and measurement results are provided to demonstrate the feasibility of the system.
Secondary metabolic energy generating pathways in bacteria

Bacteria use catabolic mechanisms to obtain energy for energy requiring processes and biosynthesis. This energy is stored in forms of ATP and ion gradients. These forms are interconvertible through ion pumps. These pumps are primary transporters and energy obtained via this way is called primary metabolic energy generation. In addition to this, bacteria use secondary transporters to obtain energy via short, autonomous, catabolic pathways, which is called secondary metabolic energy generation. Secondary metabolic energy pathways are of importance in the manufacturing process of food and drink products, where fermenting lactic acid bacteria are used. In bacteria three types of secondary transporters are involved, uniporters, antiporter and symporters. In this essay, several decarboxylation- and direct level phosphorylation pathways that use secondary transporters to generate secondary metabolic energy are discussed.