Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARABILITY OF THE MEASUREMENT OF INVESTMENTS PROPERTIES OF PUBLIC THE OPEN COMPANIES LISTED ON B3: AN ANALYSIS UNDER THE OPTICS OF T AND H

The international standards symbolized the beginning of the harmonization of accounting standards, which includes, among other qualitative characteristics, the comparability of accounting information. The CPC 28 (2009) allows for accounting choices between the cost and fair value method in the measurement of Investment Property (PPI). The general objective of this article is to verify the level of comparability of the measurement after the initial recognition of the PPI of the public companies listed on B3. The sample consisted of the 91 companies that presented PPI balance in 2015. The data were collected in the Financial Statements and in the Explanatory Notes. To verify the level of comparability, the H index introduced by Van der Tas (1988) and the T index proposed by Taplin (2004) were used. The results showed that 40% of the companies opted for the cost method, 36% through the fair value method and 24% didn’t disclose the method used. Additionally, it was observed that 58% of the companies using the cost method disclosed the fair value. As for the comparability analysis, an average level for the sample was verified according to the first approach of the T and H indexes, but with values very close to a low level.
Small Breeding Season Home Ranges and Egg-Laying Migrations in Urban Female Water Dragons (Intellagama lesueurii)

Abstract. Ecologists have a long-standing interest in the size of animal home ranges, including those of lizards, but studies on females are relatively rare and often do not take into account possible space use changes in relation to the breeding cycle. We mapped locations of female Eastern Water Dragons (Intellagama lesueurii) daily, during the 2009 and 2016 breeding seasons in relation to reproductive status. Home ranges of all females bordered water and overlapped with areas used by other females. Average home range area was similar between 2009 and 2016, and home range size was not correlated with female size. Six surviving females used part of the same areas in both years. The average ratio of home range area to female size (standardized to linear dimensions) in Water Dragon females was only 13.6% that of 25 other large lizard species, and only 10.6% of estimates during and outside of the breeding season in another urban Water Dragon population. In our population, 38% (25 of 65) made temporary (1 d) departures from their usual home ranges. Palpation revealed that ripening eggs were present prior to departure but absent when females returned, and two of these females were observed digging nests during migrations. Short-term egg-laying migrations may reduce intergenerational competition resulting from strong philopatry in female Water Dragons. Our results reveal how repeated observations of individuals throughout critical periods, such as during the breeding season, can reveal subtle details in use of space that are likely important for the fitness of individuals.
Fault-Tolerant System Design for Doubly Salient Electromagnetic Machine Under Loss of Excitation

Aiming at the problem that the traditional doubly salient electromagnetic machine (DSEM) cannot work when the excitation loss occurs, this article designs and analyzes a fault-tolerant DSEM for excitation loss, and the torque ripple suppression strategy under the fault-tolerant operation is studied. First, the characteristics of the output torque of DSEM before and after excitation-loss is analyzed, and a DSEM with a novel winding configuration is proposed to improve the fault tolerance. Second, under normal/excitation-loss conditions, the structure parameters of the fault-tolerant DSEM are analyzed to reveal the influence of the motor structure on its performance. Then, the steady-state torque of the fault-tolerant DSEM is compared with the traditional DSEM and the switched reluctance motor with the same size, which proves the effectiveness of the fault-tolerant design. By analyzing the inductance and torque characteristics, a torque ripple suppression strategy is proposed for the fault-tolerant DSEM without increasing the complexity of the system. Finally, a prototype is developed, and the experimental results verify the fault-tolerant capability of the prototype and the effectiveness of the proposed torque ripple suppression strategy. The research results of this article provide a specific implementation method for the fault-tolerant system design of DSEM under excitation loss.
Legal Analysis of the Nature of Cyber Currency in Iran: A Comparison to EU Law

Electronic money as the monetary value stored in an electronic instrument is the last step in the gradual evolution of money, described as the immaterialization and invisibility of money. It is an emerging phenomenon that can perform the functions and duties of money. This study aimed to investigate the legal concept of cyber currency in Iran-Islamic and EU law in a comparative view. This study mainly considered e-money as a payment method and discusses it from different perspectives. In analyzing the legal nature of this phenomenon, it used two different approaches by combining an empirical-analytical method and a comparative study. The first approach was to analyze the nature of electronic money as a type of money. The second was to analyze the nature of electronic money in the light of non-monetary theories and describe it as one of the legal institutions used in business. This study concluded that electronic money would have different legal effects in its legal analysis, depending on who the publisher and acceptor are and how its publication and circulation process is defined and explained. The description of electronic money in the form of non-monetary theories ignored its role as an efficient payment tool in today's advanced business environment. KEYWORDS: Electronic Money, Cyber Currency, Islamic Law.
Conjunto de Redes Neurais Artificiais para Detecção Online de Fótons de Altas Energias

A correta identificação de partículas é um dos principais objetivos de experimentos de física de altas energias. Devido a alta taxa de eventos no Grande Colisor de Hádrons (LHC), o experimento ATLAS tem empregado técnicas baseadas em aprendizado de máquina a fim de encontrar eventos raros em grandes massas de dados. Entre eles está o NeuralRinger, um conjunto classificador de rede neural projetado para detecção rápida de elétrons com base em anéis concêntricos de calorímetro (sistema de medição de energia). Nesse contexto, o presente trabalho propõe a adaptação desta técnica, que opera identificando elétrons, para a detecção rápida de fótons. Os resultados com dados simulados mostram a eficiência do método proposto no ambiente do experimento ATLAS.
Resonant Manifold Multiplexers

This article presents a new compact multiplexer structure and its design approach, based on a novel resonant manifold. Different from typical transmission-line-based manifold multiplexers, the proposed manifold junction is formed of coupled resonators, so that the manifold also contributes to the filtering poles and selectivity in the passbands. The all-resonator configuration achieves a more compact footprint than the conventional manifold. This multiport filtering network can be represented by a single coupling matrix which can be obtained by using a robust optimization-based method. Tailored channel frequency allocation schemes are presented for the proposed multiplexers with a different number of channels. To validate the proposed concept, a triplexer and a five-channel multiplexer, both at X-band, are designed and tested using rectangular waveguide technology. Good agreements have been achieved between the measurement and simulations. Comparisons have been made with conventional multiplexers.
Steering angle prediction YOLOv5-based end-to-end adaptive neural network control for autonomous vehicles

The combination of steering angle prediction and control of autonomous vehicles (AVs) is a challenging task. To improve the real-time steering angle prediction accuracy and the effectiveness of steering control, a novel steering angle prediction YOLOv5-based end-to-end adaptive neural network control for AVs is proposed. Firstly, since most of the lane line datasets are simulated images and lack of diversity, a novel lane dataset derived from the real roads are made manually to train the You Only Look Once version 5 (YOLOv5) network model. To improve the detection accuracy of the network model, the Generalized Intersection over Union (GIoU) of the bounding box regression loss function is updated to a Complete Intersection over Union (CIoU) with a better convergence effect. Furthermore, the neural network-based controller and disturbance observer are proposed to effectively control the steering angle predicted by YOLOv5 and estimate the lumped uncertainty. Meanwhile, a composite adaptive updating law is constructed by utilizing the tracking error and modeling error to improve steering performance. Finally, the system stability is proved by Lyapunov theory and the effectiveness of the proposed method is verified with experiments.
Neural-PIM: Efficient Processing-In-Memory With Neural Approximation of Peripherals

Processing-in-memory (PIM) architectures have demonstrated great potential in accelerating numerous deep learning tasks. Particularly, resistive random-access memory (RRAM) devices provide a promising hardware substrate to build PIM accelerators due to their abilities to realize efficient in-situ vector-matrix multiplications (VMMs). However, existing PIM accelerators suffer from frequent and energy-intensive analog-to-digital (A/D) conversions, severely limiting their performance. This paper presents a new PIM architecture to efficiently accelerate deep learning tasks by minimizing the required A/D conversions with analog accumulation and neural approximated peripheral circuits. We first characterize the different dataflows employed by existing PIM accelerators, based on which a new dataflow is proposed to remarkably reduce the required A/D conversions for VMMs by extending shift and add (S+A) operations into the analog domain before the final quantizations. We then leverage a neural approximation method to design both analog accumulation circuits (S+A) and quantization circuits (ADCs) with RRAM crossbar arrays in a highly-efficient manner. Finally, we apply them to build a RRAM-based PIM accelerator (i.e., <italic>Neural-PIM</italic>) upon the proposed analog dataflow and evaluate its system-level performance. Evaluations on different benchmarks demonstrate that Neural-PIM can improve energy efficiency by <inline-formula><tex-math notation="LaTeX">$5.36\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>5</mml:mn><mml:mo>. </mml:mo><mml:mn>36</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="cao-ieq1-3122905.gif"/></alternatives></inline-formula> (<inline-formula><tex-math notation="LaTeX">$1.73\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>73</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="cao-ieq2-3122905.gif"/></alternatives></inline-formula>) and speed up throughput by <inline-formula><tex-math notation="LaTeX">$3.43\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>3</mml:mn><mml:mo>. </mml:mo><mml:mn>43</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="cao-ieq3-3122905.gif"/></alternatives></inline-formula> (<inline-formula><tex-math notation="LaTeX">$1.59\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>59</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="cao-ieq4-3122905.gif"/></alternatives></inline-formula>) without losing accuracy, compared to the state-of-the-art RRAM-based PIM accelerators, i.e., ISAAC [1] (CASCADE [2]).
A High Rate Algal Pond Hosting a Dynamic Community of RNA Viruses

Despite a surge of RNA virome sequencing in recent years, there are still many RNA viruses to uncover—as indicated by the relevance of viral dark matter to RNA virome studies (i.e., putative viruses that do not match to taxonomically identified viruses). This study explores a unique site, a high-rate algal pond (HRAP), for culturing industrially microalgae, to elucidate new RNA viruses. The importance of viral-host interactions in aquatic systems are well documented, and the ever-expanding microalgae industry is no exception. As the industry becomes a more important source of sustainable plastic manufacturing, a producer of cosmetic pigments and alternative protein sources, and a means of CO2 remediation in the face of climate change, studying microalgal viruses becomes a vital practice for proactive management of microalgae cultures at the industrial level. This study provides evidence of RNA microalgal viruses persisting in a CO2 remediation pilot project HRAP and uncovers the diversity of the RNA virosphere contained within it. Evidence shows that family Marnaviridae is cultured in the basin, alongside other potential microalgal infecting viruses (e.g., family Narnaviridae, family Totitiviridae, and family Yueviridae). Finally, we demonstrate that the RNA viral diversity of the HRAP is temporally dynamic across two successive culturing seasons.
Hertia cheirifolia y H. maroccana (Asteraceae), dos especies endémicas para áfrica del norte: notas nomenclaturales, morfología, distribución y evaluación de la lista roja según la UICN

Hertia cheirifolia y H. maroccana (Asteraceae) son dos endemismos norteafricanos que crecen, respectivamente, en Argelia y Túnez, y en Marruecos. Presentamos en este trabajo descripciones morfológicas, distribución y categorización en la lista roja de la UICN. Además, se lleva a cabo un estudio nomenclatural de Hertia maroccana de Battandier and Othonna cheirifolia de Linneo y se tipifican ambos nombres sobre especímenes conservados, respectivamente, en MPU y LINN.
Incentive Assignment in Hybrid Consensus Blockchain Systems in Pervasive Edge Environments

Edge computing is becoming pervasive in our daily lives with emerging smart devices and the development of communication technology. Smart devices with various resources make data transactions prevalent over edge environments. To ensure such transactions are unmodifiable and undeniable, blockchain technology is introduced into edge environments. In this paper, we propose a hybrid blockchain system to enhance the security for transactions and determine the incentive for miners in edge computing environments. We propose a Proof of Work (PoW) and Proof of Stake (PoS) hybrid consensus blockchain system utilizing the heterogeneity of devices to adapt to the characteristic of edge environments. We raise the incentive assignment problem for a fair incentive to PoW miners. We formulate the problem and propose an iterative and another heuristic algorithm to determine the incentive that the miner will receive for a new block. We further prove that the iterative algorithm can obtain global optimal results. Simulation and experiment results show that our proposed algorithm can give a reasonable incentive to miners under different system parameters in edge blockchain systems.
Highly flexible biodegradable cellulose nanofiber/graphene heat-spreader films with improved mechanical properties and enhanced thermal conductivity

Thermal management materials with high thermal conductivity and good flexibility are needed for the next generation of flexible electronics. Herein, a flexible graphene/cellulose nanofiber (CNFG) composite film with high thermal conductivity was fabricated via simple vacuum-assisted filtration. The highly ordered hierarchical stacked layer structure of the graphene nanosheets endows the CNFG composite films with excellent heat-spreader performance and good flexibility. The in-plane thermal conductivity of the CNFG composite film loaded with 50 wt% graphene reached 164.7 W m−1 K−1, and the through-plane thermal conductivity reached 5.0 W m−1 K−1. More importantly, the thermal conductivities of the CNFG composite films in both the axial and radial directions barely changed after 1000 bending cycles. In addition to the good flexibility, the CNFG composite films exhibited superior mechanical properties compared to common graphene papers and neat cellulose nanofibers. The tensile strength of the CNFG composite film containing 50 wt% graphene was 72.3 ± 5.4 MPa. All these qualities make the CNFG composite films ideal heat spreaders for flexible electronic devices.
Cold Tolerance during the Reproductive Phase in Chickpea (Cicer arietinum L.) Is Associated with Superior Cold Acclimation Ability Involving Antioxidants and Cryoprotective Solutes in Anthers and Ovules

Chickpea is sensitive to cold stress, especially at reproductive stage, resulting in flower and pod abortion that significantly reduces seed yield. In the present study, we evaluated (a) whether cold acclimation imparts reproductive cold tolerance in chickpea; (b) how genotypes with contrasting sensitivity respond to cold acclimation; and (c) the involvement of cryoprotective solutes and antioxidants in anthers and ovules in cold acclimation. Four chickpea genotypes with contrasting cold sensitivity (cold-tolerant: ICC 17258, ICC 16349; cold-sensitive: ICC 15567, GPF 2) were grown in an outdoor environment for 40 days in November (average maximum/minimum temperature 24.9/15.9 °C) before being subjected to cold stress (13/7 °C), with or without cold acclimation in a controlled environment of walk-in-growth chambers. The 42-d cold acclimation involved 7 d exposure at each temperature beginning with 23/15 °C, 21/13 °C, 20/12 °C, 20/10 °C, 18/8 °C, 15/8 °C (12 h/12 h day/night), prior to exposing the plants to cold stress (13/7 °C, 12 h/12 h day/night; 700 μmol m−2 s−1 light intensity; 65–70% relative humidity). Cold acclimation remarkably reduced low temperature-induced leaf damage (as membrane integrity, leaf water status, stomatal conductance, photosynthetic pigments, and chlorophyll fluorescence) under cold stress in all four genotypes. It only reduced anther and ovule damage in cold-tolerant genotypes due to improved antioxidative ability, measured as enzymatic (superoxide dismutase, catalase, ascorbate peroxidase, and glutathione reductase) and non-enzymatic (ascorbate and reduced glutathione), solutes (particularly sucrose and γ-aminobutyric acid) leading to improving reproductive function and yield traits, whereas cold-sensitive genotypes were not responsive. The study concluded that cold tolerance in chickpea appears to be related to the better ability of anthers and ovules to acclimate, involving various antioxidants and cryoprotective solutes. This information will be useful in directing efforts toward increasing cold tolerance in chickpea.
Action mode of ursolic acid as a natural antioxidant and inhibitor of superoxide dismutase: In vitro and in silico study

Recently, the antioxidant is applied for the teeth bleaching treatment as an alternative of toxic material of hydrogen peroxide that is used in teeth bleaching. One of natural sources antioxidant is Uncaria gambir those containing active antioxidant agents. To be applied as a new bioactive constituent in teeth bleaching treatment, a preexperimental study is performed. The aim of the study is to identify the antioxidant constituent of U. gambir and predict their activity including action mode as an inhibitor of enzyme superoxide dismutase (SOD) through in vitro and in silico method. Combination of chromatography methods and spectroscopic analysis is used for isolated bioactive antioxidant constituent. The antioxidant activity was evaluated by in vitro assay against diphenylpicrylhydrazyl (DPPH) and SOD, respectively, while prediction of action mode of the active compounds as SOD-mutant enzyme inhibitor was conducted by in silico study using AutoDock 4.2 program. Antioxidant of ursolic acid was isolated from U. gambir with inhibitory concentration50 values 1721 ± 30.6 and 392 ± 53.57 μg/mL, respectively, against DPPH and SOD. By in silico study presented that ursolic acid inhibited SOD enzyme with a binding affinity of − 5.4 kcal/mol those higher than a quercetin as a positive control. The ursolic acid was identified as a potential natural antioxidant with potentially activity to inhibit SOD mutant.
High Risk for Attention-Deficit Hyperactive Disorder in Children with Strabismus: A Nationwide Cohort Study from the National Health Insurance Research Database

Strabismus is associated with amblyopia and a lower quality of life. Attention-deficit hyperactivity disorder (ADHD) is common among children and adolescents, and influences their academic, vocational, and social life. Previous studies have suggested an association between strabismus and ADHD. Using data from the Taiwan National Health Insurance Research Database between 2000 and 2010, we performed a large-scale cohort study comparing the incidence, risk factors, and severity of ADHD in children with and without strabismus. A total of 2049 patients <18 years old with newly diagnosed strabismus (esotropia: 404; exotropia: 1645) were identified, and 8196 age- and sex-matched controls without strabismus were also included. After an average of 6.5 ± 2.9 years of follow-up, the incidence of ADHD per 1000 person-years was 5.39 in the strabismus group (esotropia: 9.93; exotropia: 4.11) and 3.23 in the control group. The cumulative incidence of ADHD was significantly greater in the esotropia (hazard ratio [HR]: 2.04; 95% confidence interval [CI]:1.36–3.06; p = 0.0007) and exotropia groups (HR: 1.44; 95% CI: 1.03–2.03; p = 0.038) than in the controls. Patients with strabismus had more comorbidities than those without (p < 0.05). In summary, this large-scale study found a higher cumulative incidence of ADHD in patients with strabismus, especially in those with esotropia.
IMPACT OF PROBIOTICS ON STAPHYLOCOCCUS AUREUS GROWTH IN SOME DAIRY PRODUCTS

A total of 180 samples of yoghurt (small and large scale), soft white cheese (Tallaga and Feta) and rayeb milk (small and large scale) 30 of each were arbitrarily collected from different localities as dairy shopes and markets in Beni-Suef city, Egypt. The results revealed that the mean values of S.aureus were 5.7X10 ± 3.2X10, 9.3X10 ±3.9X10, 4.3X10 ±2X10, 5.1X10 ±1.7X10, 3.6X10 ±1.3X10 and 5.5X10±2.7X10, respectively. Also, the result regarding that 60% of examined S. aureus strains were enterotoxigenic by multiplex PCR technique as carried one or two segenes. The present work evaluated the influence of probiotic as live organisms on the survival of S.aureus in some dairy product as Tallaga cheese and rayeb milk during their production and refrigerator storage.
Energy and ancillary service dispatch through dynamic optimal power flow

This paper presents an approach based on dynamic optimal power flow (DOPF) to clear both energy and spinning reserve day-ahead markets. A competitive environment is assumed, where agents can offer active power for both demand supply and ancillary services. The DOPF jointly determines the optimal solutions for both energy dispatch and reserve allocation. An attractive feature of the proposed approach is that the final optimal solution will automatically meet physical constraints such as transmission and generating limits and ramp rate restrictions. In addition, the proposed framework allows the definition of multiple zones in the power network in order to enforce reserve allocation rules.