Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of the Jones matrix analytical models applied to optical system affected by high-order PMD

The analytical models for the Jones matrix of an optical fiber affected by high-order polarization-mode dispersion (PMD) are studied in an original comparative analysis with the purpose of finding a useful, precise, and stable tool for the system performance evaluation. First, a preliminary deterministic study is done to explain how the conceptual difference among the models reflects onto their representation of the fiber PMD effects in terms of Jones matrix coefficients and dispersion vector. Then, the analytical models with PMD up to third order are exploited for the calculation of the outage probability on the sensitivity penalty at the receiver, and the results obtained are compared with those of the discrete random wave-plate numerical model, assumed as a faithful description of the real fiber. Two different approaches are used for the outage probability evaluation: an analytical method, which is precise and faster but can only be used with PMD parameters up to second order, and a semi-analytical method that allows a comparison of the numerical and analytical results with homogeneity, when the statistics of high-order PMD are not known. The analytical model, which describes the dispersion vector as rotating on a circumference in the Stokes space, is found to be the most accurate in the system performance computation.
Plumbagin Protects H9c2 Cardiomyocytes against TBHP-induced Cytotoxicity via Alleviating ROS-induced Apoptosis and Inducing Autophagy

Plumbagin has been previously reported to alleviate myocardial ischemia/reperfusion injury in vivo. In this study, we analyzed the potential role of plumbagin against hydrogen peroxide-induced injury in cardiomyocytes. In the present study, plumbagin (PLB) was used to evaluate its cytoprotective property in H9c2 cardiomyocytes against tertiary butyl hydrogen peroxide (TBHP, 75 μM) induced ROS-mediated oxidative stress and apoptosis. Our results implicate that pretreatment with PLB (5, 10 or 20 μM) notably restored viabilities in TBHP-induced H9c2 cells (p(cid:0)0.01). Also PLB treatment signi�cantly decreased creatine kinase (CK) (p(cid:0)0.01) and lactate dehydrogenase (LDH) activity (p(cid:0)0.01). TBHP induced apoptosis and oxidative stress in cultured cardiomyocyte, whereas PLB pretreatment signi�cantly reduced TBHP-induced apoptosis rate (p(cid:0)0.01) and ROS level (p(cid:0)0.01). Furthermore, PLB resulted in decrease in the expressions of cleaved caspase 3, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase enzyme 4 (NOX4) and phospho-p38 MAPK in TBHP-induced H9c2 cells. And the active marker of autophagosomes, LC3-II/LC3-I was elevated following treatment with PLB. These �ndings indicated that PLB may induce autophagy. The present study shows the protective role of PLB against TBHP-induced cardiomyocyte injury via alleviation of ROS-mediated apoptosis and induction of autophagy.
Parkbridge: Optimization of a slender bridge in UHPFRC

Ultra High Performance Fibre Reinforced Concrete (UHPFRC) is a concrete type with superior characteristics concerning strength, ductility and durability compared to conventional concrete. In spite of extensive research efforts the number of applications is still limited. In order to promote UHPFRC in the Netherlands, Cement & Beton Centrum initiated a program that aimed at designing and realizing attractive stractures with UHPFRC; the Parkbridge is one of the cases considered. This paper describes the design and the optimization of the 'Parkbridge', a slender bridge with a span of about 20 meters. This pedestrian bridge was designed to replace the existing wooden bridge of a nature park. The bridge consists of a parabolic-shaped load-bearing stmcture and an ultra-slender balustrade. A tailor-made UHPFRC was applied to produce the largest element of the balustrade. Besides design considerations, production aspects of the slender UHPFRC balustrade-element are discussed.
Operational support facility (OSF) implementation and support of the WSR-88D open systems upgrade

Prototype developments for the rehost of the current weather surveillance radar-1988 Doppler (WSR-88D) radar product generation (RPG) and radar data acquisition (RDA) platforms to open systems compliant platforms will be accomplished by teams outside of the operational support facility (OSF). The OSF, however, will be responsible for the field implementation and operational support of the upgraded platforms. This paper presents details of the planning, training, and development activities involved with the OSF transition to open systems WSR-88D support.
Incorporation of Human Rights in International Relations

Human rights have been firmly enmeshed in both studies and practice of international relations. The prevailing theories of international relations describe the function of those rights in substantially dissimilar ways, and it is apparent that their key statements include compelling arguments, suggesting an inconvenient apposition of state sovereignty with ideas of universal moral order. The development of the universal human rights regime of the United Nations (UN), the growth of international non-governmental organizations (NGOs), and, eventually, human rights activists have made it possible for human rights to be more deeply incorporated into state diplomatic activities. These trends, however, raise critical concerns about the practice of the state of human rights. Although there is some reversal of the norm, however, states continue to face humanitarian crises and show signs of human rights protection domestically and promotion internationally to varying degrees. In the same way, we are also seeing a major change in the principles and procedures of international enforcement of human rights. The goal of this paper is to address briefly certain variables relevant to the incorporation of human rights in international relations.
Modeling of Hermetic Scroll Compressors: Model Development

This paper presents a comprehensive model for a hermetic scroll compressor. The model combines models of the compression process including leakage and local heat transfer within the scrolls, frictional losses, motor inefficiencies, and heat transfer within the shell and to the ambient. The model is useful for investigating the impact of design changes on compressor performance. Some sample results are presented in this paper. Detailed validation and an investigation of compressor design improvements are described in a companion paper.
Implementation of IoT in Workplace Monitoring and Safety Systems

The continuous and rapid development in facilities in the workplace eventually calls for safety of the workplace premises as well as improved monitoring system. For instance, an intruder alert will be sent even if a client enters the premises. To eradicate this issue, an alert notification has to be sent only when required i.e., during an intruder detection or mishap detection. The data is collected by Raspberry Pi using the sensors interfaced to it. By employing the usage of IoT, data received from the sensors are sent to an IoT platform from where the information is passed as a notification through an email. The detected face from the video recorded by PiCam is sent to a local server using socket programming and the Face recognition is performed in the local server using Haar cascade and LBPH algorithm in Open CV. In case of an intruder detection, an e-mail notification is sent to the user. Similarly, when an accident or disaster is detected such as a fire accident or air pollution, an alert notification is sent to the user through an e-mail.
Análisis biomecánico de la ligamentoplastía interespinosa con fibra de poliéster posterior a discectomía

* Residente de la Alta Especialidad en Cirugía de Columna Facultad Mexicana de Medicina, Universidad La Salle México con sede en el Hospital de Ortopedia para Niños «Dr. Germán Díaz Lombardo». ‡ Director del Centro de Investigación y Laboratorio de Biomecánica (CILAB) del Hospital de Ortopedia para Niños «Dr. Germán Díaz Lombardo». § Director General y Cirujano de Columna del Hospital de Ortopedia para Niños «Dr. Germán Díaz Lombardo». ¶ Maestro en Ciencias en Ingeniería Mecánica de la Sección de Estudios de Postgrado e Investigación ESIME Zacatenco, Instituto Politécnico Nacional. || Subdirector y Cirujano de Columna del Hospital de Ortopedia para Niños «Dr. Germán Díaz Lombardo».
Inverse pendulum controlled two wheel drive system

A robotic wheel chair with inverse pendulum control has been proposed so that a wheel chair bound person can climb over a step. The proposed robotic wheel chair generally moves using four wheels on a flat floor in order to maintain the stability. When the robotic wheel chair moves just in front of a step, the robotic wheel chair raises the front wheels, and maintains the inverse pendulum control. A rider can go forward or backward by his/her body inclination. After the front wheels land on a step, the robotic wheel chair can climb over a step assisted by rear wheel drive motors.
An Assessment of Three Microcomputer Software Packages for Planning Analysis

Abstract Planning's first computer revolution began in the early 1960s. It floundered in the mid-1970s in the face of the profession's unrealistic expectations for computers, changing federal budget priorities, and the practical difficulties of access and use with the expensive and delicate computer equipment, arcane control languages, and custom-written software of the era. Its influence on planning practice was limited primarily to specialized technical areas, such as transportation planning and econometric modeling.
Bitcoin Prediction using Rain Optimization Algorithm

: The development in stock market prediction is represented as a significant role and it received immense interest as predicting stock prices effectively which cause striking profits by creating appropriate decisions. Stock market prediction is the most important confronts on account of non-stationary, blaring, and chaotic data. Hence, prediction turns out to be demanding between investors to invest the money in order to make earnings. At first, to blockchain Network Bridge the blockchain network is subjected from that bitcoin data is obtained which is pursued with the prediction of bitcoin. The developed Raindrop optimization method based on Deep LSTM is used for the prediction of Bitcoin. Initially, based on the Rate of Change Rate (ROCR), Average True Range (ATR), Double Exponential Moving Average (DEMA), Simple Moving Average (SMA)
Startup Challenges: A Hindrance for Women Entrepreneurs

The present paper intends to highlight the major start up challenges faced by women entrepreneurs in Pakistan to find out ways to reduce these hindrances. The data were collected through purposive sampling from women entrepreneurs of Peshawar, WahCantt. , Islamabad and Attock through a questionnaire. Quantitative analysis, including Total Average and Percentage/frequency was being done to find out the challenges that hinder the way of women entrepreneurs in Pakistan.Finance, workload, family commitments and societal constraints were identified as challenges faced by women
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions

Variational auto-encoding architectures represent one of the most popular approaches to graph generative modeling. These models comprise encoder and a decoder networks, which map back and forth be-tween the input and latent spaces. Notably, most of the literature in variational autoencoders (VAEs) for graphs focuses on developing more ef-ﬁcient architectures at the expense of increased complexity. In this work, we pursue an orthogonal direction and leverage multi-hop linear graph convolutional layers to create eﬃcient yet simple encoders, boosting the performance of graph autoencoders. Our results demonstrate that our approach outperforms popular graph VAE baselines in link prediction tasks.
The beginnings of stealth technology

The work led by the Air Force Avionics Laboratory from the early 1950s to 1970s is discussed. Emphasis is placed on radar echo, although all observables-infrared radiation, optical, acoustics, etc.-are important to stealth design. The current capability to minimize observables is traced from the first efforts to understand what determines radar echo through the development of materials and techniques to minimize it. Applications and demonstrations are reviewed. >
Analysis of cross-phase modulation (XPM) effect on WDM transmission performance

The authors analyse the effect of cross-phase modulation (XPM) on wavelength division multiplexing (WDM) transmissions by experiments and numerical simulations, and provide the XPM limitation in a normalised and closed form formula. They also investigate the effect of XPM on dispersion compensated transmissions. It is shown that the location of dispersion compensators and the amount of compensation should be determined by considering the XPM effect.
AN UNEQUAL COUPLED-LINE WILKINSON POWER DIVIDER FOR ARBITRARY TERMINATED IMPEDANCES

A unequal Wilkinson power divider based on asymmetrical coupled line section is presented in this paper. The proposed unequal Wilkinson power divider topology uses asymmetrical coupled-line section and two transmission-line transformers. For simpliflcation, a section asymmetrical coupled line is applied to obtain front compact matching structure. For generalization, three ports terminated impedances are deflned as arbitrary values. In particular, the output ports impedances are arbitrary complex values. Design parameters and analysis equations for scattering parameters are also provided. In addition, the theoretical external performances of several examples are illustrated. Finally, the EM simulated results are validated with the characterization of two microstrip unequal power dividers at 2GHz.
Omissão de nutrientes em plantas de pinhão-manso cultivadas em solução nutritiva

O pinhao-manso (Jatropha curcas L.), pertecente a familia Euphorbiaceae, e uma planta oleaginosa que tem recebido expressiva atencao para producao de biocombustivel. O objetivo deste trabalho foi avaliar o efeito da deficiencia de macro e micronutrientes no crescimento e estado nutricional de pinhao-manso, cultivado em solucao nutritiva. O delineamento experimental utilizado foi o inteiramente casualizado, com treze tratamentos e tres repeticoes. Os tratamentos constituiram-se de solucao completa e omissao individual de cada um dos seguintes nutrientes: N, P, K, Ca, Mg, S, B, Cu, Mn, Mo, Zn ou Fe. A ordem decrescente de restricao da producao de massa de materia seca foi N>Mg>S>K>Ca=P>Zn>B=Fe. As omissoes de N e de P foram as que mais afetaram os teores dos macronutrientes da parte aerea das plantas e os sintomas de deficiencias observados foram clorose, reducao do crescimento e folhas deformadas.
The Effects of Planetary and Stellar Parameters on Brittle Lithospheric Thickness

The thickness of the brittle lithosphere—the outer portion of a planetary body that fails via fracturing—plays a key role in the geological processes of that body. The properties of both a planet and its host star can influence that thickness, and the potential range of those properties exceeds what we see in the Solar System. To understand how planetary and stellar parameters influence brittle lithospheric thickness generally, we modeled a comprehensive suite of combinations of planetary mass, surface and mantle temperature, heat flux, and strain rate. Surface temperature is the dominant factor governing the thickness of the brittle layer: smaller and older planets generally have thick brittle lithospheres, akin to those of Mercury and Mars, whereas larger, younger planets have thinner brittle lithospheres that may be comparable to the Venus lowlands. But certain combinations of these parameters yield worlds with exceedingly thin brittle layers. We predict that such bodies have little elevated topography and limited volatile cycling and weathering, which can be tested by future telescopic observations of known extrasolar planets.
Power density spectrum estimation of the random controlled PWM single-phase boost rectifier

Random modulation is of increasing interest in power electronics and also holds promise for reducing filtering requirements in AC/AC, DC/DC converter applications and reducing acoustic noise in motor drive applications. This paper deals with the power spectrum density (PSD) estimation methods of the random controlled pulse width modulation (RPWM) single-phase structured boost rectifier. Estimated PSD is also experimentally verified. The switch-mode operation of the converter results in electromagnetic interference (EMI) which is produced due to large di/dt and dv/dt. In addition to all steps to minimize the generation of EMI (i.e. introduction of RPWM), improvement of power spectra is also considered.
Fast simulation‐driven feature‐based design optimization of compact dual‐band microstrip branch‐line coupler

Design of miniaturized microwave components is a challenging task. On one hand, due to considerable electromagnetic (EM) cross‐couplings in highly compressed layouts full‐wave EM analysis is necessary for accurate evaluation of the structure performance. Conversely, high‐fidelity EM simulation is computationally expensive so that automated determination of the structure dimensions may be prohibitive when using conventional numerical optimization routines. In this article, computationally efficient simulation‐driven design of a miniaturized dual‐band microstrip branch‐line coupler is presented. The optimization methodology relies on suitably extracted features of a highly nonlinear response of the coupler structure under design. The design objectives are formulated in terms of the feature point locations, and the optimization is carried out iteratively with the linear model of the features utilized as a fast predictor. The entire process is embedded in the trust‐region framework as convergence safeguard. Owing to only slightly nonlinear dependence of the features on the geometry parameters of the circuit at hand, the optimized design satisfying prescribed performance requirements is obtained at the low computational cost of only 24 high‐fidelity EM simulations of the structure. Experimental validation of the fabricated coupler prototype is also provided. © 2015 Wiley Periodicals, Inc. Int J RF and Microwave CAE 26:13–20, 2016.
Geophysical map representation, abstraction and interrogation for autonomous underwater vehicle navigation

Navigation currently limits the existing and potential capabilities of small autonomous underwater vehicles (AUVs). Methods of internal AUV navigation (e.g. dead reckoning and inertial) have temporally unbounded accumulation of position error. On the other hand, beacon based systems require the costly and time consuming placement, calibration, and maintenance of an array of underwater beacons. In this work, we investigate an alternative approach. That is, geophysical map based navigation wherein we match the measurement of simple geophysical properties by vehicle-mounted sensors to a priori maps (computer models) stored on board the vehicle. The objective being an algorithm applicable to small, power-limited AUVs and which performs in real time to a required resolution with bounded position error (or degree of accuracy). To accomplish this, we address issues of representation and storage and derive methods for the interrogation of these computer maps. Interval B-splines (IBS) are introduced for the non-linear representation of two-dimensional geophysical parameters. A method for the creation of IBS surfaces from measured data is developed such that the topography and uncertainty in the data are represented in a manner that provides for high accuracy and resolution, data reduction, and efficient interrogation with a guaranteed bounded approximation error. Interrogation is divided into macro-and micro-navigation. Macro-navigation involves two processes for global position estimation. A standard filter mechanism predicts the position of the vehicle and is based on a bounded interval error model to incorporate non-Gaussian errors in vehicle translation due to the underwater environment. It limits the solution space (i.e. possible vehicle positions) and, therefore, avoids extraneous solutions. When multiple solutions are found, a multiple hypotheses tracking mechanism is applied until a unique vehicle location is determined. Micro-navigation involves the solution of a system of nonlinear polynomial equations with interval coefficients and provides fine-scale, quantitative position determination. This system is formulated as the intersection of contours established on each map that are derived from the simultaneous measurement of associated geophysical parameters by vehicle mounted sensors. Since these contour intersections represent locations where such measurements could occur, they also represent the complete set of possible vehicle locations. Finally, a simulation model for the underwater environment is developed to study the behavior and illustrate the algorithm. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)
Innovations like two arms, cheaper prices, easier programming, autonomous and collaborative operation are driving automation deployment in manufacturing and elsewhere

Purpose – The purpose of this paper is to discuss how robot innovations as well as educational experiences are driving the more rapid deployment of automation into the manufacturing environment and other applications and reviewing the impact on employment. Design/methodology/approach – In-depth interviews with builders and system integrators of automation equipment and conferring with users of robotics as well as attendance at conferences and trade shows addressing these topics. Findings – Originally robots addressed only “heavy lifting” applications where cost and flexibility were very secondary considerations. Today users are looking to deploy robotic automation into all types of manufacturing and other applications where lower cost, two-armed flexibility and ease of programming are some of the very important considerations. Robotics are making manufacturers more competitive and growing thus creating more jobs, not costing jobs. Practical implications – Customers may be surprised at the automation innov.