Miracle-dz/UniFAR-FTUs huggingface dataset:
Análise comparativa entre o controlador PID-Fuzzy e o PID convencional aplicados à estabilização da atitude de um quadrimotor

O quadrimotor e um tipo de veiculo aereo que possui uma complexidade relacionada ao controle, bem menor do que outros VANT's como um helicoptero tradicional. Entretanto, como as helices e os motores, por exemplo, nao sao exatamente iguais, mesmo que os motores estejam recebendo as mesmas referencias de velocidade o empuxo produzido pelo sistema da helice do motor e diferente. Sendo assim, o sistema e naturalmente instavel. Alem disso, pode-se dizer que o Quadrimotor e um sistema subatuado, ja que temos quatro variaveis de entrada (velocidade dos quatro motores) e seis de saida (x, y, z, roll, pitch, yaw), sem falar nos acoplamentos das variaveis e das nao-linearidades referentes a aerodinâmica, acionamentos, etc. Projetar um unico controlador que consiga tratar essas circunstancias _e uma tarefa extremamente complicada. Esta dissertacao apresenta uma comparacao entre os controles PID-Fuzzy e o PID, que sao utilizados para estabilizar a atitude do quadrimotor em um menor tempo. Alem dos resultados obtidos nas simulacoes para as duas tecnicas de controle, nas quais se constatou que ambos os controladores conseguiram estabilizar o modelo, verificou-se que o PID-Fuzzy obteve melhores resultados do que o PID convencional
FUNCTIONAL INTEGRATION AND PARTIAL DIFFERENTIAL EQUATIONS (Annals of Mathematics Studies, 109)

Functional Integration and Partial Differential Equations-Mark Iosifovich Freidlin 1985-08-21 "This book discusses some aspects of the theory of partial differential equations from the viewpoint of probability theory. It is intended not only for specialists in partial differential equations or probability theory but also for specialists in asymptotic methods and in functional analysis. It is also of interest to physicists who use functional integrals in their research. The work contains results that have not previously appeared in book form, including research contributions of the author"-Publisher description.
Adaptive sliding mode stabilization and positioning control for a multi-vectored thrust airship with input saturation considered

This article addresses a position and attitude stabilization control scheme for a class of multi-vectored airship with parameter uncertainty and input saturation considered. Airship parameters such as the inertia matrix and aerodynamic coefficients are hard to measure due to the uneven gas distribution and unforeseen shape changing. The propellers airships use often have saturation issues. These phenomena are unavoidable. To meet these challenges, we propose two adaptive sliding mode control methods. Both achieve airship position and attitude stabilization without the prior knowledge of the inertia matrix or aerodynamic coefficients. The second algorithm also takes input saturation into consideration. Simulations illustrate the effectiveness of our scheme. Compared with former works, our method achieves position, attitude, velocity and angular velocity stabilization with inertia matrix uncertainty, aerodynamic coefficient uncertainty, and input saturation.
Hierarchical Decoding Mechanism for Interference Cancellation in Full-Duplex Intelligent Reflecting Surfaces Aided Non-Orthogonal Multiple Access System

In wireless communication, Full-Duplex (FD) is considered as a crucial method for boosting spectral efficiency. An inexpensive passive reflecting array called Intelligent Reflecting Surface (IRS) is utilized to increase spectral efficiency. Another interesting approach is called Non-Orthogonal Multiple Access (NOMA), which also increases spectral efficiency by enabling simultaneous transmission of users’ data at the same time and frequency. The combined impact of the FD-NOMA system assisted by the IRS is examined in this study. This combined effect makes decoding at the receiver difficult and has an impact on the communication system’s Bit-Error Rate (BER) performance. Co-channel interference and self-interference have an impact on the performance of the proposed system in FD mode. To reduce interference in FD mode and Successive Interference Cancellation (SIC) in NOMA, a Hierarchical decoding receiver architecture is suggested. The proposed combined system’s achieved rate and BER performance are examined and contrasted with those of traditional NOMA and IRS-aided NOMA system.
An investigation in to AI applications in Clinical Medicine diagnosis and treatment

Since the Industrial Revolution, productivity has risen rapidly and the global population has entered a stage of rapid growth. At the same time, the number of people suffering from the disease has increased by itself. Nowadays, the imbalance of medical resources is a serious problem. In some regions, the life expectancy of the population is much lower than the world average due to the serious lack of medical resources. And because diagnosis and treatment are subjective, there can be potential problems, further raising the risk of malpractice. Therefore, the application of advanced technology in the medical field is necessary and urgent. In this article, we examine the application of artificial intelligence in the medical field, especially in diagnosis and treatment. Furthermore, the advantages and disadvantages of the technology are further evaluated. Finally, we summarize the full text.
Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning

Using Natural Language Processing (NLP) in the clinical domain has increased the possibility of automatically extracting information from oncology clinical narratives. Specifically, deep learning methods have been used to extract information in the cancer domain. However, most of the above proposals have concentrated only on extracting named entities from clinical narratives, but those proposals do not include a methodology for structuring the information after an information extraction step. In this paper, we propose an automatic pipeline based on deep learning for structuring breast cancer information from clinical narratives written in Spanish. The pipeline inputs a set of clinical documents written in narrative form and automatically generates a structured JSON file that contains the information for each patient. This pipeline integrates both clinical entity extraction and negation and uncertainty detection. Obtained results have shown that deep learning methods are feasible for structuring information in the breast cancer domain.
Estimating forest biodiversity in airborne laser scanning assisted inventories using spatial measures

With recent developments in remote sensing technologies, plot-level forest resources can be estimated using airborne laser scanning (ALS) data. We present how spatial summary characteristics can be utilized for detecting the spatial structure of trees and other biodiversity variables on top of that. In particular, we summarize the spatial structure of trees using the so-called L- and empty-space function from spatial statistics. On plot-level, these functions are used for classifying forests into regular, random, or clustered patterns of tree locations. From the ALS data, we extract patches of vegetation at a number of height layers using thresholded canopy height models. The structure of the patches and the empty space around them is captured by spatial ALS feature variables of which some are new in this context and also based on the empty-space function. We estimate forest biodiversity employing, in addition to commonly used ALS feature variables, the proposed new spatial features in the well-known k-nn estimation method. We present the methodology on the example of a study site in Central Finland. We found that the new spatial ALS features are useful for remotely estimating the spatial structure of trees, their breast height diameter distribution, and even the development class of the field plots in a simple, but yet efficient approach.
A perfectly matched layer formulation based on auxiliary differential equations for truncating radial point interpolation method meshless domains

An auxiliary‐differential equation perfectly matched layer formulation is developed for the first time for truncating radial point interpolation method meshless domains. Absorption parameters are optimized, producing maximum relative reflection error of −84.14 dB when 10 layers are used. The developed formulation is also validated by calculating the radar cross section of a metallic cylindrical scatterer, which has a known analytical solution.
Self-Polarization: Lionizing Those Who Agree and Demonizing Those Who Disagree

Abstract Numerous recent texts have explained societal polarization, emphasizing biased input through increased accessibility of extreme partisan information. We examined instead the possible role of biased output through biased attribution of personality traits to issue partisans. Two experiments tested the hypothesis that attributing personality traits to those who agree versus disagree with an attributor on controversial social issues might lead attributors to adopt more polarized impressions and behavioral intentions toward issue partisans, as well as to adopt more polarized attitudes toward the issue itself. These hypotheses were supported with two different social issues—abortion and kneeling during the national anthem. The results were interpreted as consistent with previous theory and research on both attributional bias and self-generated attitude polarization.
Molecular Detection of Anaplasma in Cattle of Morang, Rupandehi and Surkhet districts of Nepal

Anaplasma, a vector transmitted rickettial parasite, infects blood cells of bovine causing asymptomatic to clinical bovine anaplasmosis. This study was conducted to estimate the prevalence of Anaplasma sp. in blood samples of dairy cattle in Morang, Rupandehi, and Surkhet districts of Nepal and to determine the risk factors and biochemical alterations of the respective animal. In total, 120 blood samples (40 from each district) were randomly collected from dairy cattle. The blood smears were prepared and fixed with 10% methanol on the field, and fresh blood was collected in EDTA tubes for molecular analysis and in clot activating tubes to yield serum for biochemical tests. 9 (7.5%) blood samples had produced the 577 base pairs of DNA fragments specific for the 16S rRNA gene of Anaplasma sp. by PCR amplification. 5 (4.16%) blood samples in the smear were found positive by microscopic examination. Serum biochemical profile was not different between Anaplasma sp. positive cattle and negative cattle (p > 0.05). The prevalence rate between Jersey and Holstein Friesian crossbred was also not different (p>0.05). There was a higher prevalence among cattle aged more than 2 years compared to cattle less than 2 years (p<0.05) indicating older cattle were more susceptible to the Anaplasma infection. In conclusion, serum biochemical alterations and risk factors should be considered in order to achieve prognosis and initiation of an appropriate therapeutic regimen for a favorable outcome of the tick-borne haemoparasitic diseases along with molecular detection for improved detection.
A Design of Bare Printed Circuit Board Defect Detection System Based on YOLOv8

As electronic products develop towards miniaturization and digitization, printed circuit boards (PCBs) also develop towards high density and high precision. In the manufacturing process of PCBs, some PCBs with defects will be produced, and these defects often lead to circuit failure, so defect detection technology is an indispensable part of PCB manufacturing technology. Aiming at the problems of low efficiency and accuracy of traditional image recognition and classification technology, A PCB defect detection algorithm is proposed based on YOLOv8 in this paper. For these five PCB defects, the neural network in deep learning was used to identify and classify PCB defects. The prediction accuracy of YOLOv8 model after training is close to 97%, and it is compared with the accuracy of other algorithms to prove the effectiveness and feasibility of the model. In addition, the object detection image user interface is also established in this paper, which can realize image detection more conveniently.
The Effect of Loneliness on Nomophobia: A Moderated Mediation Model

A large number of studies have shown that loneliness is a positive predictor of nomophobia (no mobile phobia), but little research has examined the mechanism of this association. Drawing on attachment theory, the present study constructs a moderated mediation model to examine whether smartphone attachment mediates the relation between loneliness and nomophobia and whether this mediating process is moderated by attachment anxiety. A total of 598 college students in China were recruited to complete a questionnaire to measure loneliness, smartphone attachment, attachment anxiety, and nomophobia. A moderated mediation analysis was conducted. Our findings revealed that after controlling for gender, loneliness is positively associated with nomophobia. Meanwhile, smartphone attachment plays a mediating role in the relationship between loneliness and nomophobia. Furthermore, attachment anxiety moderates the mediated path through smartphone attachment, such that an indirect effect is much stronger for individuals with higher attachment anxiety relative to those with low attachment anxiety. The present study provides new insight into the complex processes in the association between loneliness and nomophobia, and the results have important theoretical and practical implications.
Dual-Path Hybrid Dickson Converter for High-Ratio Conversions in Point-of-Load Applications

This article presents a dual-path hybrid Dickson (DPHD) converter to provide single-step large-ratio voltage conversions. It systematically utilizes a hybrid structure with a N:1 SC network and one inductor to enlarge the duty ratio and reduce the voltage stress of power switches under high input voltage condition. The dual-path hybrid structure further lowers the required inductor current for a given output current, thereby significantly decreasing the inductor conduction loss and improving the capability of delivering a higher output current. Compared with other existing single-inductor hybrid converters, the DPHD converter uses the smallest number of power switches and achieves self balancing of flying capacitors. For performance verifications, a 7:1 DPHD converter prototype with 25 V silicon MOSFETs was built to support conversions from a wide input range of 36–65 V to an output of 1–2 V with the maximum load of 32 A. The converter achieves a high peak power efficiency of 92.7% under 48 V-to-2 V conversion and 250 kHz. High power density of 481 W/in3 is also obtained in the proposed converter.
Mathematical model for thermal and entropy analysis of thermal solar collectors by using Maxwell nanofluids with slip conditions, thermal radiation and variable thermal conductivity

Abstract In the present research a simplified mathematical model for the solar thermal collectors is considered in the form of non-uniform unsteady stretching surface. The non-Newtonian Maxwell nanofluid model is utilized for the working fluid along with slip and convective boundary conditions and comprehensive analysis of entropy generation in the system is also observed. The effect of thermal radiation and variable thermal conductivity are also included in the present model. The mathematical formulation is carried out through a boundary layer approach and the numerical computations are carried out for Cu-water and TiO2-water nanofluids. Results are presented for the velocity, temperature and entropy generation profiles, skin friction coefficient and Nusselt number. The discussion is concluded on the effect of various governing parameters on the motion, temperature variation, entropy generation, velocity gradient and the rate of heat transfer at the boundary.
Building a Mobile Communication System Based on Small-Sized Unmanned Aerial Vehicles Using WiMAX Technology

Article represents a possibility of building a mobile communication system based on small-sized unmanned aerial vehicle using WiMAX technology. The advantages of this approach, in addition to the rapid deployment of the network and high fault tolerance, are the possibility of optimal coverage of the service area due to the possibility of moving the UAV relative to subscribers, taking off the UAV to a greater height to increase the service area, as well as economic efficiency due to lower cost compared to the cost of deployment ground infrastructure. Method of multicriteria optimization based on the research for Pareto-optimal solution which was modelled by authors improve characteristics of whole system.
Investigation of the Charge Symmetry Breaking Reaction dd→4Heπ0 with the WASA-at-COSY Facility

Probing elementary symmetries and symmetry breaking tests our understanding of the theory of strong forces, Quantum Chromodynamics. The presented study concentrates on the charge symmetry forbidden reaction dd→4Heπ0. The aim is to provide experimental results for comparison with predictions from Chiral Perturbation Theory (χPT) to study effects induced by quark masses on the hadronic level, e.g., the proton-neutron mass difference. First calculations showed that in addition to the existing high-precision data from TRIUMF and IUCF, more data are required for a precise determination of the parameters of χPT. These new data should comprise the measurement of the charge symmetry forbidden dd→4Heπ0 reaction at sufficiently high energy, where the p-wave contribution becomes important. A first measurement with the WASA-at-COSY experiment at an excess energy of e = 60 MeV was performed, but the results did not allow for a decisive interpretation because of limited statistics. This thesis reports on a second measurement of the dd→4Heπ0 reaction at e = 60 MeV using an improved WASA detector setup aiming at higher statistics. A sample of 336 ± 43 event candidates have been extracted using a data set from an eight-week long beamtime, and total and differential cross sections have been determined. The angular distribution has been described with a function of the form dσ/dΩ = a + bcos^2θ*, where θ* is the scattering angle of the pion in the c.m. coordinate system. The obtained parameters a and b and the total cross section are: a = (1.75 ± 0.46(stat.) +0.31-0.8(syst.)) pb/sr, b = (13.6 ± 2.2(stat.) +0.9-2.7(syst.)) pb/sr, σ_tot = (79.1 ± 7.3(stat.) +1.2-10.5(syst.) ± 8.1(norm.) ± 2.0(lumi. syst.)) pb. For this experiment a modified detector setup optimized for a time-of-flight measurement of the forward going particles has been used. After detector calibration and track reconstruction, signal events have been selected using a chain of cuts and a kinematic fit. For absolute normalization the integrated luminosity has been obtained using the dd→3Henπ0 reaction. The final acceptance correction has been performed using a Monte Carlo signal generator with the measured angular distribution. The obtained differential cross section indicates the presence of higher partial waves in the final state. A combined interpretation of these results with the other measurements of the dd→4Heπ0 reaction allowed to determine the square of the magnitude of the p-wave amplitude |C|^2 = (520 ± 290(stat.)+50-430(syst.)) pb/(sr∙(GeV/c)^2) and the real part of the s-d interference term Re(A0*A2) = (1670 ± 320(stat.) +80-430(syst.)) pb/(sr∙(GeV/c)^2) neglecting any further initial and final state interactions. The result shows that any theoretical attempt to describe the reaction has to include, in addition to p-waves, also d-wave contributions.
The Lead Removal from Industrial Wastewater Using Two-Stages Poly-Urethane Column for Further Use in Aquaculture

Due to the growing aquaculture sector, water needs are increasing day by day. Indiscriminate discharge of raw and partially treated industrial effluents into the aquatic ecosystem leads to the deterioration of the environment. The main source of heavy metals pollution in aquatic ecosystems comes from mining activities, industrial effluents and anthropogenic activities among others (Guowei et al., 2021). These discharges generally contain many heavy metals (HM), forming a global pollution problem, especially in aquatic ecosystems (Rajeshkumar et al., 2018; Al-Halani et al., 2022; Monier et al., 2023). HM including lead (Pb) toxicity adversely affects the survival, growth, innate immunity, and hepatic antioxidant indices of aquatic animals inhabiting the environment (Abdel-Tawwab et al., 2017a, b, c; Hamed et al., 2022). Hence, it is necessary to preserve water resources with acceptable water quality for aquaculture industry. Some heavy metals including lead (Pb) are abundant in industrial wastewater, with a significant negative impact on aquatic ecosystems, groundwater, agricultural production and human health (Wang et al., 2020). Heavy metals are not biodegradable; ARTICLE INFO ABSTRACT Article History: Received: May 26, 2023 Accepted: June 23, 2023 Online: July 9, 2023 _______________
University of Birmingham Charged jet cross section and fragmentation in proton-proton collisions at s = 7 TeV

We report the differential charged jet cross section and jet fragmentation distributions measured with the ALICE detector in proton-proton collisions at a center-of-mass energy ﬃﬃﬃ s p ¼ 7 TeV. Jets with pseudorapidity j η j < 0 . 5 are reconstructed from charged particles using the anti- k T jet-finding algorithm with a resolution parameter R ¼ 0 . 4 . The jet cross section is measured in the transverse momentum interval 5 ≤ p chjetT < 100 GeV =c . Jet fragmentation is studied measuring the scaled transverse momentum spectra of the charged constituents of jets in four intervals of jet transverse momentum between 5 and 30 GeV =c . The measurements are compared to calculations from the PYTHIA model as well as next-to-leading-order perturbative QCD calculations with POWHEG + PYTHIA 8 . The charged jet cross section is well described by POWHEG for the entire measured range of p chjetT . For p chjetT > 40 GeV =c , the PYTHIA calculations also agree with the measured charged jet cross section. PYTHIA 6 simulations describe the fragmentation distributions to 15%. Larger discrepancies are observed for PYTHIA 8 .
REFLECTIONS FROM THE INNOVATION TOOLKIT

likely not the first institution that comes to mind when considering agile, adaptive, and innovative new initiatives, but numerous federal departments and agencies have in fact been quietly moving toward such frameworks in recent years. This raises two questions: What does innovation look like in the current federal context? How can innovation thrive in a diverse, segmented, institutionally constrained, and risk-averse bureaucracy? Drawing from lessons on policy innovation from the Obama administration, I offer reflections based on an intensive nine-month research project for the Office of Science and Technology Policy (OSTP). The aim of the project was to gather findings to guide the development of a federal “Innovation Toolkit. ” The Toolkit—a digital knowledge-sharing resource for federal employees intended to debut in late 2017—aims not to spur innovation for innovation’s sake, but to encourage the continual evolution of the federal bureaucracy toward a 21st-century government that works better and costs less. This effort to capture the broad range of recent innovative efforts and document how agencies have piloted, iterated, and scaled novel practices is OVERCOMING BARRIERS TO ADOPTION FOR INNOVATIONS IN POLICY