Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics of managerial power and ceo compensation in the course of corporate distress: Evidence from 1992 to 2019

We study the dynamics of two governance constructs, managerial influence over the board of directors and chief executive officer (CEO) compensation, in firms undergoing distress during 1992–2019. Data show a clear trend that governance improves over time, which confounds the inference about the effects of distress on governance. Controlling for the secular changes with a bias-corrected matching estimator, we find that distressed firms reduce managerial board appointments and CEO pay, intensify managerial incentive alignment, and increase CEO turnover. The bulk of CEO compensation changes in distressed firms derives from the performance-related part of compensation, consistent with the “shareholder value” view of CEO compensation. JEL Classification: G33, G34, J33, J44, M50
A statistical analysis of blind equalisation techniques for digital communications

We have simulated the performance of some important blind equalisation algorithms. Most are based on fractionally spaced sampling, and the channels used are practical models taken from both COST-207 for cellular mobile, and a line of sight microwave digital communications channel. It is clear from the simulations, that a number of popular algorithms are not admissible candidates for blind equalisation in mobile channels, while others exhibit promising behaviour.
Epidemiological Distribution and Potential Risk Factors of Orientia tsutsugamushi Infection in Eastern Uttar Pradesh, India

Background: Scrub typhus (ST) is a rickettsial infection caused by Orientia tsutsugamushi, which presents with flu like symptoms. This disease has been reported from all over India but with slight variations in its pattern. For decreasing the prevalence, preventing new incidences, and predicting the course of the ST, therefore, it is crucial to gain knowledge and perception of local risk components associated with the disease. The present study aimed to investigate the epidemiological distribution and potential risk factors of O. tsutsugamushi Infection in Eastern Uttar Pradesh (EUP), India. Methods: The serums of 211 samples were collected from the suspected cases along with the detailed information about the participants such as age, location, and place recorded in case history form (CRF). IgM estimation was performed using enzyme-linked immunosorbent assay (ELISA) assay. Results: A total of 58 samples (27.4%) out of 211 ones were found to be positive for IgM antibodies against O. tsutsugamushi bacterium. Furthermore, the results were correlated with epidemiological data such as gender, rural or urban background, pets, and occupation. The results showed that 76.7% of the study participants were from rural areas or had bushes around their houses, 88.3% of them had pets/cattle or frequent encounter with rodents at their houses, and 30.3% of them had no toilet facilities at home. Conclusions: It was concluded that the proximity to pets/cattle, having rodents in closer vicinity, residing in places surrounded by vegetation/farm/bushy areas, and following occupations involving field work increased the chances of getting bitten by mites/chiggers. Overall, Orientia tsutsugamushi prevalence increased in EUP, with respect to clinical features, disease presentation, and laboratory diagnosis can help our community to reduce the mortality caused by this infectious disease.
Dependence of dc output of a rectenna array on the method of interconnection of its array elements

In 1994 and 1995, a ground-to-ground microwave power transmission (MPT) experiment was carried out by a group including participants from Kyoto University, Kobe University, and Kansai Electric Power Company. Among the MPT technologies, which are one of the most important key issues for the realization of the Solar Power Satellite, the “rectenna” (rectifying antenna) has been studied to achieve higher efficiency of conversion from microwave to dc We had developed a new rectenna panel which can effectively rectify a microwave power of 2.5 W at 2.45 GHz, prior to the ground-to-ground MPT field experiment. We examine the sum of the outputs of two or three rectenna panels which are connected either in parallel or in series or in a hybrid manner under the same microwave circumstances. The experiments lead us to conclude: (1) The sum of the dc outputs from two rectenna panels connected in parallel is larger than that from those connected in series. (2) The sum of the dc outputs of two rectenna panels is generally smaller than the sum of the dc output of the individual panels unless their outputs are equal. (3) Better total output dc power of a rectenna array is achieved when we take careful account of the array element balance. Based on the experiments, we propose an optimum method for connection of individual rectenna elements to form a high-efficiency rectenna array. © 1998 Scripta Technica, Electr Eng Jpn, 125(1): 9–17, 1998
Secure Physical Layer Transmission and Authentication Mechanism Based on Compressed Sensing of Multiple Antenna Arrays

Large-scale antenna technology has become one of the most promising technologies in 5G because of its ability to effectively improve the spectral efficiency and energy efficiency of the system, as well as its better robustness. In this paper, a large amount of CSI (channel state information) data is characterized by feature mining and law analysis, and a large number of channel characteristics of the physical layer have the advantages of randomness and uniqueness, etc. From the perspective of improving the security of the authentication mechanism and reducing the computational complexity of the authentication mechanism, the physical layer security authentication model is analyzed, and the signal security transmission path, signal authenticity, and channel estimation are used to propose an effective physical layer secure transmission and authentication mechanism, which can be used as a security enhancement and lightweight authentication mechanism for existing authentication mechanisms. In this paper, we analyze the security advantage mechanism of physical layer authentication and prove the security performance boundary; propose an authentication security enhancement method based on the channel feature generation key, a message authentication method based on superimposed tag signals; and propose a method based on private guide frequency for high-speed service data authentication.
New approach to a multistatic passive radar sensor for air/space defense

A method to apply the latest technology in Global Navigation Satellite Systems (GNSS), in particular the U.S. NAVSTAR GPS (NAVigation System for Timing And Ranging Global Positioning System) and the Russian GLONASS (GLObal'naya Nqvigatsionnaya Sputnikovaya Sistema), as a silent multistatic or parasitic radar for air defense is described. These satellite systems serving as navigational aids are well suited for low power radar applications due to the similarity and compatibility of the transmitted satellite signals with modern radar signals, such as spread spectrum modulation and Pseudo Random Noise (PRN) codes. Preliminary flight tests with airships, jet and propeller aircraft, helicopter, anti tank missiles and spaceborne targets (MIR) to study effects have been conducted. >
The complex dielectric constant of snow at microwave frequencies

The complex dielectric constant of snow has been measured at microwave frequencies. New and old snow at different stages of metamorphosis have been studied. The results indicate that the complex dielectric constant is practically independent of the structure of snow. For dry snow, the dielectric constant is determined by the density. For wet snow, the imaginary part and the increase of the real part due to liquid water have the same volumetric wetness dependence. The frequency dependence of the complex dielectric constant of wet snow is the same as that of water. A nomograph for determining the density and wetness of wet snow from its dielectric constant is given. A snow sensor for field measurement of the dielectric constant has been developed. It can be used for determining the density and the wetness of snow by a single measurement.
Task-Based LSTM Kinematic Modeling for a Tendon-Driven Flexible Surgical Robot

Tendon-driven flexible surgical robots are normally suffering from the inaccurate modeling and imprecise motion control problems due to the nonlinearities of tendon transmission. Learning-based approaches are experimental data-driven with uncertainties modeled empirically, which can be adopted to improve the inevitable issues. This work proposes a LSTM-based kinematic modeling approach with task-based data for a flexible tendon-driven surgical robot to improve the control accuracy. Real experiments demonstrated the effectiveness and superiority of the proposed learned model when completing path following tasks, especially compared to the traditional modeling.
Development of Resilient Measurement Instruments for High School Students in Denpasar

The purpose of this development research is to determine the value of the validity and reliability of the tough character instrument. This study was designed with research and development methods. Analysis of the data used in the CVR and CVI tests from Lawshe, the empirical test with the product moment formula, while to test the reliability using Cronbach's alpha. The instrument validation test was carried out by experts. The results of data analysis using the Lawshe CVR test obtained an item value (CVR> 0), then the CVI value was obtained at 0.96, this value means that the content validity index of 45 items in the tough character instrument is very good. The results of the calculation of the validity of the item validity test using the Product Moment formula according to the valid category criteria. this shows that the level of reliability of the tough character instrument is very high, so this tough character instrument product is very important to be developed for students in high school.
Habitat connectivity and resource selection in an expanding bobcat (Lynx rufus) population

Terrestrial carnivores are among the most imperiled species worldwide, yet some species are resilient and are recovering in human-dominated landscapes after decades or centuries of absence. Bobcat (Lynx rufus) populations were extirpated from much of Midwestern US in the mid-1800’s, and are currently expanding and recolonizing their former range. In this study, we investigated multi-scale habitat selection for Ohio’s expanding bobcat population, and examined habitat connectivity in order to evaluate the conduits for dispersal statewide. We used citizen observations collected between 1978 and 2019 and logistic regression to evaluate population-level habitat selection, and GPS telemetry data for 20 individuals collected between 2012 and 2014 and a distribution-weighted exponential Resource Selection Function to evaluate individual-level habitat selection within home ranges. At the population level, bobcats selected for higher amounts of forest and pasture (at a 50 km2 scale) and herbaceous vegetation (at 15–50 50 km2 scales), thus overall heterogeneous forested habitat. At individual (home range) level, bobcats selected for forested habitats with low road density and farther away from high traffic roads; they also showed weak selection for open habitat at the home range level. Male home ranges were significantly greater than female home ranges. Lastly, we used the population-level spatial outputs (i.e. habitat suitability map) to parameterize habitat connectivity models using circuit theory in the program Circuitscape. We tested three relationships between habitat suitability and resistance to movement and used a subset of data on potential dispersing individuals to evaluate which relationship performed best. All three relationships performed almost equally well, and we calculated a weighted averaged connectivity map as our final map. Habitat was highly permeable to movements between core areas of two genetically distinct subpopulations located in southeastern Ohio. We also identified potential dispersal corridors from the core areas to other regions of Ohio dominated by agriculture and suburban development via forested riparian corridors. Overall, our analysis offers new information on habitat selection and connectivity in a rebounding felid population and offers important ecological information for wildlife management strategies. We recommend that the suitability and connectivity models should be periodically updated until the population reaches an equilibrium, and be integrated with data from neighboring states for a comprehensive assessment of a conservation success story.
Generalized theory of instantaneous reactive quantity for multiphase power system

A new generalized definition of instantaneous reactive quantity in the multiphase system is proposed in this paper and an attempt is made to seek its unity, in value as well as in meaning, between in sinusoidal and in nonsinusoidal situations. By directly taking the instantaneous multiphase voltage and multiphase current as two vectors with multicomponents each, the instantaneous reactive quantity is considered as the 2nd asymmetrical tensor resulting from the outer-product operation of voltage and current vectors. In this way, the so-called zero-phase sequence component problem is solved. With its concise and direct expression, the theory can be applied to any kind of 3-phase systems, and can also be easily extended to any n-phase systems without any additional transformation, in which the instantaneous quantities will have similar properties to those in a steady sinusoidal 3-phase system. So it may find wide application in many fields.
Environmental Noise And Vibration Monitoring And Assessment Of Major Road Transportation Networks: The Case Of Elefsina (athens) – Korinthos Motorway (2008–2011)

Environmental noise and vibration annoyance – especially from road transportation networks – is widely accepted as an end-point of environmental assessment that can be taken as a basis for evaluating the impact and annoyance caused to the exposed population. This paper presents the results of a comprehensive monitoring program for environmental noise and vibration from ELEFSINA (ATHENS) – KORINTHOS (an upgraded three-lane motorway crossing the famous Korinthos canal with a total length of 63 km), as well as the resulting appropriate noise action plan, including adequate mitigation measures for environmental road noise abatement. In the framework of this monitoring program, 40 locations were selected for airborne noise monitoring (various indices as L A eq (08:00–20:00), L A 10(18 h), L den , L night ) and 24 locations for vibration (ground borne noise both in dB(A) and peak vibration velocity – PPV in mm/s) monitoring covering all sensitive uses as per residential buildings, educational uses, churches, etc. A full assessment of all measured results and the noise mapping assessment was also executed. This assessment aimed at the implementation of appropriate noise barriers with synthetic axes, upon which the total aesthetical and acoustic adaptation was based to fulfi ll the need for adequate noise protection criteria and full aesthetic consistency of the fi nal outcome with the builtup surrounding landscape. In conclusion, some 9,000 m 2 of semi-transparent noise barriers are already under construction. Environmental noise and vibration monitoring programs are proven to be a crucial parameter in
Heterogeneous Method for Grafting of Syringaldehyde onto Chitosan by Laccase Oxidation

Heterogeneous method for grafting of syringaldehyde (SD) onto chitosan by laccase oxidation, yielding a product with improved antioxidant activities. The results showed that about 1.1% amino groups participated in this reaction. The FTIR showed that the absorption of amino groups were decreased, the absorption of benzene ring structures were disappeared and a new band appeared at 1637 cm-1 corresponding to C=N vibrations that were due to the Schiff base reaction between the chitosan and syringaldehyde. Additionally, the chitosan had insignificant reducing power and DPPH free radical scavenging activity, SD-chitosan had reducing power of A700=0.684, DPPH free radical scavenging activity of 53.2%. SD-chitosan presented improved antioxidant properties.
Transfer-based Enrichment of a Hungarian Named Entity Dataset

In this paper, we present a major update to the first Hungarian named entity dataset, the Szeged NER corpus. We used zero-shot cross-lingual transfer to initialize the enrichment of entity types annotated in the corpus using three neural NER models: two of them based on the English OntoNotes corpus and one based on the Czech Named Entity Corpus finetuned from multilingual neural language models. The output of the models was automatically merged with the original NER annotation, and automatically and manually corrected and further enriched with additional annotation, like qualifiers for various entity types. We present the evaluation of the zero-shot performance of the two OntoNotes-based models and a transformer-based new NER model trained on the training part of the final corpus. We release the corpus and the trained model.
Power Electronics Open-Source Educational Platform

Learning Power Electronics is essential in both electrical and electronic engineering fields and the introductory courses are similar in many universities. Taking this premise into account, an educational computer-aided platform for power electronics will be presented in this paper. This educational platform includes an e-book, a set of power electronics animations, Java simulations, as well as several hands-on training sessions. The main advantages of this platform are twofold. First, all necessary teaching tools are combined on a single platform. And secondly, access to this platform is available free of charge and with no complicated registration requirements. In addition to traditional teaching techniques, the use of this platform has demonstrated an increase in student participation and has consistently improved their academic performance. Data consist of surveys, which guarantee both reliability and validity through psychometric techniques.
Data Mining for Cycle Time Key Factor Identification and Prediction in Semiconductor Manufacturing

Abstract We suggest a data-driven methodology to identify key factors of the cycle time (CT) in a semiconductor manufacturing plant and to predict its value. We first extract a data set from a simulated fab and describe each operation in the set using 182 features (factors). Then, we apply conditional mutual information maximization for feature selection and the selective naive Bayesian classifier for further selection and CT prediction. Prediction accuracy of 72.6% is achieved by employing no more than 20 features. Similar results are obtained by neural networks and the C5.0 decision tree.
Navigating a Constitutional Moment: Reflections on Implementing Graduate Attributes in Canadian Engineering Education

This piece is a self-reflexive essay examining our experiences during an important transitional moment, what we will identify as a ‘constitutional moment’, in engineering education in Canada. We are a collection of scholars who specialize in the study of the interface between technology and the humanities and social sciences (most of us identify as Science and Technology Studies scholars). Housed within the Center for Engineering in Society, itself housed within a faculty of engineering, we find ourselves presented with dual challenges of introducing insights from the critical studies of the relationship between science, technology, and society into the engineering curriculum, while also maintaining legitimacy among the engineering faculty that we find ourselves a part of. This paper is a result of our attempts to understand the challenges in engineering education that are unique to our Canadian context and to systematize our responses to these challenges. The aim of this paper is to share our experiences navigating the relationship between the construction of our center's identity as an Engineering Studies hub and our critical participation in engineering education practice.
Current Improvement in Distribution Systems Using a Modeless Formulation

Abstract This article presents a new modeless technique to extract current disturbances and shows a modular compensation strategy to mitigate these disturbances. The main advantage of this technique is that it does not require any model or state-space formulation to extract current disturbances like other commonly used state-space techniques. In addition, it is very simple for practical implementation compared to the time-domain and frequency-domain methods. The proposed extraction technique depends on the Wiener filtering theory. The proposed Wiener filter can be utilized to design a modeless generalized compensation strategy for extracting and mitigating the most common current disturbances such as current harmonics and different current fluctuations. The suggested strategy is validated by digital simulation results using MATLAB/SIMULINK (The MathWorks, Natick, Massachusetts, USA) on the most common stationary current quality problems.
Loss and Branch Power Flow Allocation Based on Topological Method

The MVA power loss allocation method has been proposed. Based on the traditional power flow solution, the branch power losses are equalized. By using the topological method and the proportionality assumption, various contribution factors are obtained. According to the usage of users for the branch lines, the line charging reactive power has been allocated to the load power or generation power. According to the relative relationships, the MVA sharing problem of transmission facilities, the MVA loss allocation can be solved. The software has been developed for complicated power systems. The analysis method in this paper can improve the transparency for the electricity market. Detailed analysis examples are presented.
Single-stage electronic ballast with high-power factor

This article proposes a single-stage electronic ballast circuit with high-power factor. The proposed circuit was derived by sharing the switches of the power factor correction (PFC) and the half-bridge LCC resonant inverter. This integration of switches forms the proposed single-stage electronic ballast, which provides an almost unity power factor and a ripple-free input current by using a coupled inductor without increasing the voltage stress. In addition, it realises zero-voltage-switching (ZVS) by employing the self-oscillation technique. The saturable transformer constituting the self-oscillating drive limits the lamp current and dominates the switching frequency of the ballast. Therefore, the proposed single-stage ballast has the advantage of high-power factor, high efficiency, low cost and high reliability. Steady-state analysis of the PFC and the half-bridge LCC resonant inverter are described. The results of experiments performed using a 30 W fluorescent lamp are also presented to confirm the performance of the proposed ballast.
Visual Guidance of an Autonomous Robot Using Machine Learning

Abstract The aim of this work is to create a method to compute the steer direction of an autonomous robot, moving in a road-like environment. It uses artificial neural networks to learn behaviours based on examples from human drivers, replicating and sometimes even improving human-like behaviours. Artificial neural networks perform very fast computations, which make them well suited for real-time navigation. They also have the possibility to perceive information that was undetected by humans and therefore could not be coded in classical programs, improving the overall performance for the steering of an autonomous mobile robot.