Miracle-dz/UniFAR-FTUs huggingface dataset:
CEOs’ secretarial experience and MD&A disclosure quality: a study based on textual analysis

ABSTRACT This study provides fresh evidence on the impact of CEOs’ secretarial experience on the quality of Management Discussion and Analysis (MD&A) disclosure. This study finds that in China, CEOs with secretarial experience significantly lead to more MD&A modifications (renew text information timelier). Cross-sectional analyses reveal that the improvement of information disclosure by CEOs with secretarial experience is more prominent for firms without political connection and for CEOs whose birthplace has a stronger cultural environment. Additional test shows that the modification of MD&A provides incremental information for investors and the stock price has a stronger response to the revision made by CEOs with secretarial experience, suggesting investors appreciate CEOs with secretarial experience. Overall, our evidence suggests that CEOs with secretarial experience are more skilled in comprehensive report writing and have stronger ability to provide incremental information.
Automatic alignment and calibration of an inertial navigation system

In this paper we derive a simple six degree of freedom navigator, Earth-surface navigator, for terranean vehicle application, using low grade gyros. The calibration and alignment of the navigator are investigated when the system is at rest. Based on the observability of the error model when the system is at rest, a state transformation is presented. This transformation decouples the observable modes, which are based on physical insight from the unobservable modes. An example is given to illustrate the performance of a Kalman filter for calibration and alignment. <<ETX>>
Performance analysis by simulation of floating-gate MOSFETs applied on a bidirectional associative memory architecture

Floating-gate MOSFETs (FGMOSFETs) are devices that can be electrically programmable and have a non-volatile characteristic. This feature can be adopted to configure a basic cell performing as a variable resistance that can be applied in artificial neural networks as a synapse. Based on a simple model and considering the coupling coefficient of the structure as the gain of a voltage controlled voltage source, the electrical characteristics of a floating-gate MOSFET can be simulated in PSpice and an artificial neural net, such as the bidirectional associative memory (BAM), can be implemented. Therefore a performance analysis of the net may be done with different sets of threshold voltages for the FGMOSFETs configured as a CMOS inverter used as a synapse. The objective is to know pattern pairs in a bidirectional way. The result is a correlation matrix for the BAM as a function of an electrical parameter of the devices, which is directly related to the respective matrix calculated by the matrix dot product, using the method outlined by Kosko.
Estimating Potential Transpiration of Apple Trees Using Theoretical Non-Water-Stressed Baselines

AbstractTo maximize irrigation efficiency, applied water has to be precisely adjusted to the crop water use. This study develops a method based on the energy balance of a single apple leaf to calculate potential transpiration (Ep) for the whole apple tree. The Ep model was based on two main submodels predicting canopy temperature (Tc) and total canopy conductance (gT). The gT model was derived by simplifying the energy budget to rely on only climatic data and an empirical coefficient. These submodels were evaluated using the canopy temperature data collected in a Fuji apple orchard during the 2007, 2008, and 2013 growing seasons. The applicability of the Ep model was examined on (1) well-watered, young Fuji apple trees, and (2) well-irrigated, older apple trees bearing little fruit. Predicted potential transpiration rates at both scenarios were compared with those predicted by the ASCE standardized Penman–Monteith values for alfalfa (ETr). Daily average weather data collected during the three growing seas.
Voltage Dip Detection in Noisy Environments Using Tracking Filters

Due of its significant economical impact, voltage dip analysis is an important domain today. Monitoring these phenomena (also called sags) require powerful techniques. Digital Signal Processing (DSP) algorithms are currently employed to fulfill this task. One of the possible algorithms is the αβγ filter. Discovered and tested during the cold war, this algorithm can estimate a parameter of interest one-step-ahead based on the previously observed values. In previous work, this filter revealed very good performance in the absence of noise. However, noise is present in every technical environment. This paper examines the dip detection performance using the above mentioned tracking filter in a noisy environment.
Comparison of Parametric, Nonparametric and Semiparametric Modeling of Wind Tunnel Data

ABSTRACT This article presents a case study illustrating the use of parametric, nonparametric, and semiparametric modeling. The study comes from aeronautical research that examines a highly nonlinear relationship between coefficient of lift and angle of attack in a wind tunnel experiment. For this study, nonparametric and semiparametric approaches provide reasonable alternatives to the usual linear parametric approach and we demonstrate that they can aid in understanding the underlying process. Model comparison and replicated design points are also addressed in the article.
Investigation of co-ensiling for the storage of grain stillage and Jerusalem artichoke residue from inulin extraction

Jerusalem artichoke residue (JR) was co-ensiled with grain stillage (GS) at various weight mixing ratios (JR only, 4 to 1, 2 to 1, 1.2 to 1, 1 to 1.5, 1 to 2.7, 1 to 7, and GS only) for 10, 30, and 60 d for agricultural biomass storage. Results showed that the middle level of GS to JR ratios, e.g., 1.2 to 1 and 1 to 1.5, achieved the best co-ensiling performance among all studied ratios. The water-soluble carbohydrate (WSC) contents were significantly higher than those of the other treatments (p < 0.05), and the lignocellulose contents were significantly lower than those of other treatments (p < 0.05). The silages ensiled at the above-mentioned ratios had a higher feed value and biodegradation potential than other ratios. Lactobacillus was the dominant bacterial species during the ensiling process, and its relative abundance was significantly correlated with the content of different components, e.g., WSC, crude protein, and starch, as well as fermentation characteristics. Fungal species, e.g., Kluyveromyces and Monascus were also observed, and the relative abundance of which was positively correlated with different nutritional components. In conclusion, GS and JR can be successfully stored via co-ensiling.
Signaling by the integrated stress response kinase PKR is fine-tuned by dynamic clustering

The double-stranded RNA sensor kinase PKR is one of four integrated stress response (ISR) sensor kinases that phosphorylate the alpha subunit of the eukaryotic initiation factor 2 (eIF2α) in response to stress. The current model of PKR activation considers the formation of back-to-back PKR dimers as a prerequisite for signal propagation. Here we show that PKR signaling involves the assembly of dynamic PKR clusters. PKR clustering is driven by ligand binding to PKR’s sensor domain and by front-to-front interfaces between PKR’s kinase domains. PKR clusters are discrete, heterogeneous, autonomous coalescences that share some protein components with processing bodies. Strikingly, eIF2α is not recruited to PKR clusters, and PKR cluster disruption enhances eIF2α phosphorylation. Together, these results support a model in which PKR clustering buffers downstream signaling, which may enable proofreading the ISR.
PATH FOLLOWING CONTROL OF AUTOMATIC GUIDED VEHICLE BASED ON HIERARCHICAL FUZZY ALGORITHM

A three-wheel AGV with front wheel steer and rear wheel drive is taken as the research objective.On th e basis of establishing the hardware framework of the motion control system,the software design of PMAC under the environment of VC++ is discussed relevantly.At the same time,a hierarchical fuzzy algorithm is introduced in the path following of the AGV. Having applied hierarchical fuzzy systems in the control architecture, the number of rules in a fuzzy contro ller was reduced greatly. A robust control term was used to compensate the approximation error of fuzzy syst ems, which could reduce the effect on tracking accuracy caused by the error. It was proved that th e tracking error converged to the small neighborhoo d of zero, and the tracking error could be decreased by enlarging parameters in the robust control term. Th e test results verified the efficiency of the hierarchical adaptive fuzzy controller.
Genome-Wide Association Study for Detecting Salt-Tolerance Loci and Candidate Genes in Rice

Salinity is one of the major constraints causing soil problems and is considered a limitation to increased rice production in rice-growing countries. This genome-wide association study (GWAS) experiment was conducted to understand the genetic basis of salt tolerance at the seedling stage in Korean rice. After 10 days of salt stress treatment, salt tolerance was evaluated with a standard evaluation system using a visual salt injury score. With 191 Korean landrace accessions and their genotypes, including 266,040 single-nucleotide polymorphisms (SNPs), using a KNU Axiom Oryza 580K Genotyping Array, GWAS was conducted to detect three QTLs with significant SNPs with a −log10(P) threshold of ≥3.66. The QTL of qSIS2, showed −log10(P) = 3.80 and the lead SNP explained 7.87% of total phenotypic variation. The QTL of qSIS4, showed −log10(P) = 4.05 and the lead SNP explained 10.53% of total phenotypic variation. The QTL of qSIS8 showed −log10(P) = 3.78 and the lead SNP explained 7.83% of total phenotypic variation. Among the annotated genes located in these three QTL regions, five genes were selected as candidates (Os04g0481600, Os04g0485300, Os04g0493000, Os04g0493300, and Os08g0390200) for salt tolerance in rice seedlings based on the gene expression database and their previously known functions.
Mental Health Provision in UK Secondary Schools

Research reports high levels of mental health problems faced by young people in the UK. Schools provide a range of mental health support services, although these are often not robustly evaluated. This paper aims to explore the mental health provision of secondary schools across two large regions in the North of England and provide comparisons to the mental health questionnaire scores of their pupils. Results are part of a wider study providing an overview of the mental health of secondary school pupils. Measures include the Strengths and Difficulties Questionnaire, distributed to year 8, 9, and 11 pupils attending secondary schools and a bespoke mental health service provision questionnaire for school staff at the same schools. A total of 6328 pupil questionnaires and 36 staff questionnaires were returned from 21 schools. Results showed a non-significant correlation between provision and young people’s mental health scores and highlight a range of factors to take into consideration. There is a need to improve the evaluation and recording of school-based mental health provision. Mental health difficulties in young people are prevalent in schools. Future research is needed to elucidate which types of services are most helpful in preventing, supporting, and signposting those with mental health problems.
Reinforcement Learning based Optimal Control  for  Constrained Nonlinear  System  via A Novel State-Dependent Transformation

This paper focus on developing an optimal controller for the strict-feedback nonlinear systems with or without asymmetric time-varying full state constraints. A novel nonlinear state-dependent transformation function is presented, by which the strict-feedback nonlinear systems with state constraints is transformed into a new strict-feedback where the state constraints is implicit in. Optimized backstepping technique is utilized to develop the optimal controller for the new strict-feedback system to track the desired reference signal without the feasibility conditions. Reinforcement learning (RL) is exploited to implement the optimal control in every step, where identifier, critic and action network are used to estimate the unknown system dynamics and generate the control output, respectively. It is theoretically proved that all the signals in the close loop system are bounded and the proposed optimal controller can track the desired signal with or without time-varying asymmetric full state constraints. Two simulation examples are presented demonstrating the efficacy of the proposed scheme.
Deployment, Combat, and Well-Being in the 2010 National Survey of Veterans

Understanding the effects of deployment, service in a combat or war zone, and exposure to combat and casualties has taken on additional urgency given the nature of recent engagements in Iraq (OIF) and Afghanistan (OEF). The 2010 National Survey of Veterans, which asked a broad cross section of veteran cohorts about deployment to OEF/OIF and combat exposure, provides new insights into short and long-term relationships between military service and outcomes. Analysis of these data suggests the impacts of deployment and combat on socioeconomic status may be relatively small, while their impacts on health and other nonpecuniary indicators of well-being are negative and may be large. These results are consistent with a veterans compensation system that replaces lost earnings but does not compensate for other
Internal Compensation Gap and the Sustainable Development Ability of Manufacturing Enterprises —Based on the Moderator Variable of ESOP

The article uses A-share to list manufacturing companies from 2015 to 2019 as a sample to examine the impact of the internal salary gap between executives and employees on the company’s sustainable development capabilities. The study found that there is an inverted U relationship between manufacturing executive and employee salary gap ratio and employee productivity and sustainable growth rate; ESOP can reduce the inhibition of excessive internal compensation on employee productivity; the detailed study found that ESOP design motivation can only improve from the employee perspective, such as low employee contribution ratio and wide employee participation range, excluding related industries. The article expands the scope of research of the internal compensation on the sustainable development ability of the manufacturing enterprises and the adjustment effect of the ESOP, thus pro-viding reference value for the manufacturing enterprises to design and implement the ESOP.
Extending the range and accuracy of phase noise measurements

Recent progress in extending high-accuracy measurements of phase noise in oscillators and other devices are described for carrier frequencies from the RF to the millimeter region and Fourier frequencies up to 10% of the carrier (or a maximum of about 1 GHz). A brief survey of traditional precision techniques for measuring phase noise is included as a basis for comparing relative performance and limitations. Several calibration techniques are developed which, when combined with two previous oscillator techniques, permit one to calibrate all factors affecting the measurements of phase noise of oscillator pairs to an accuracy which typically exceeds 1 dB and in favorable cases can approach 0.4 dB. <<ETX>>
Precise imaging of small animals using a dual-head microPET scanner

We believe that small-animal positron emission tomography (μPET) can play an important role in phenotyping and drug screening. For such applications, imaging throughput becomes an important issue because one needs to image a considerable number of subjects in a study. Toward enabling high-throughput μPET imaging, we are developing a prototype that consists of two large-area, high-performance flat detectors. These detectors are placed opposed to each other with a small spacing for providing large detection solid angle and detection sensitive volume. The resulting scanner geometry produces data having missing views and projection truncations, therefore posing a particular challenge in reconstruction. In this paper, we developed a new iterative reconstruction method that addresses this challenge. By using 2D simulated data, we find that this new method can accurately reconstruct an extended detection volume of the prototype. Because our prototype shares the same configuration with positron emission mammography (PEM), the new reconstruction method is also applicable for PEM reconstruction.
Modeling and control of McKibben artificial muscle robot actuators

The McKibben artificial muscle is a pneumatic device characterized by its high level of functional analogy with human skeletal muscle. While maintaining a globally cylindrical shape, the McKibben muscle produces a contraction force decreasing with its contraction ratio, as does skeletal muscle. The maximum force-to-weight ratio can be surprisingly high for a limited radial dimension and for a conventional pressure range. A 50 g McKibben muscle can easily develop more than 1000 N under 5 bar pressure for an external radius varying from about 1.5 to 3 cm. Thus, robotics specialists are interested in this well-adapted artificial muscle for motorizing powerful yet compact robot arms. The basic McKibben muscle static modeling developed in the paper, which is based on the three main parameters (i.e., initial braid angle, initial muscle length, and initial muscle radius) and includes a three-parameter friction model of the thread against itself, has shown its efficiency in both isometric and isotonic contraction.
Performance Comparison Between Low–Density Parity–Check And Reed–Solomon Codes Using Wireless Image Transmission System

Dalam kertas ini prestasi kod ketumpatan–rendah kesetaratan–semak (LDPC) dan kod Reed–Solomon (RS) telah dianalisis dengan menggunakan sistem penghantaran imej tanpa wayar. Sistem ini menggunakan salur penambahan Gaussian hinggar putih (AWGN). Dalam kerja ini, imej kelabu telah telah digunakan sebagai punca kemasukan daya. Kualiti imej kelabu yang dibina semula selepas saluran penyahkodan adalah diukur dengan menggunakan puncak nisbah isyarat–hinggar (PSNR) dengan membandingkan imej yang dibina semula dengan kemasukan imej asal. Keputusan penyelakuan menunjukkan prestasi sistem penghantaran imej dengan menggunakan kod LDPC sentiasa mengatasi prestasi sistem yang menggunakan kod RS dalam salur AWGN. Kualiti keluaran imej kelabu adalah dianggap bagus sekiranya nilai PSNR melebihi 30 dB. Kata kunci: Sistem penghantaran imej tanpa wayar; kod LDPC; kod Reed Solomon; salur AGWN In this paper the performance of Low–Density Parity–Check (LDPC) and Reed–Solomon (RS) codes are analyzed using a wireless image transmission system. The system utilizes the Additive White Gaussian Noise (AWGN) channel. In this work, a grayscale image is used as the input data source. The quality of the reconstructed grayscale image after the channel decoder is measured using the Peak Signal to Noise Ratio (PSNR) by comparing the reconstructed image with the input grayscale image. Simulation results show that the performance of image transmission system using LDPC code is always outperformed the system with RS code in AWGN channel. The quality of output grayscale image is considered good if the value of the PSNR is above 30 dB. Key words: Wiresless image transmission system; LDPC code; Reed Solomon code; AWGN channel
Complete chloroplast genome of Sphagnum subsecundum Nees from Korea

Abstract We determined the complete chloroplast genome sequence of the peatmoss Sphagnum subsecundum Nees from Mt. Halla in Korea. The total size of the chloroplast genome was 140,136 bp, and it consisted of a large single-copy region (LSC) of 98,064 bp, a small single-copy region (SSC) of 21,388 bp, and two copies of inverted repeat (IRa and IRb) regions of 10,342 bp each. The genome encoded a set of 130 genes, comprising 85 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. This species formed a monophyletic clade with S. orientale and S. lenese as the result of ML phylogenetic analysis based on whole gemone sequence of 15 species including one outgroup species.
A system for automatic electrical and optical characterization of microelectromechanical devices

A new optical method for characterizing the performance of microelectromechanical systems (MEMS) is described that is significantly faster and simpler than previously described optical methods. The method uses video imaging under continuous illumination to effectively remove the upper limit imposed by other methods on the frequency of motions that can be measured. It can be used to measure the motions of any visible structure, whether or not an electrical or optical sensor for that motion has been incorporated. The magnitude of the displacement of a target, such as the edge of a sinusoidally vibrating shuttle mass, is obtained from a single frame of video taken during motion plus a reference frame taken when the target is at rest. The speed of this technique facilitates hands-on testing of prototypes and is especially attractive for production environments. An automated MEMS microresonator testbed is described that performs on-line resonance curve parameter extractions of resonant frequency (f/sub 0/) and quality factor (Q) from electrical measurements, which are derived from output comb-drive current measurements using established methods, and from simultaneous optical measurements using the new method. Results obtained using these methods for design evaluation of microfabricated lateral resonators are discussed, and favorable benchmark comparisons of the optical results with results from a MEMS testbed at the Massachusetts Institute of Technology are presented.
Knowledge sharing in research buildings and abouth their design

Knowledge sharing is essential in present day society which is focused on innovation. Research driven organisations put a lot of effort in stimulating the knowledge exchange between their employees and are increasingly asking their Corporate Real Estate (CRE) managers to become involved in this process. They need to provide accommodation designed for people to meet and share knowledge, and look for architects to help them achieve this difficult goal. This paper will help them in two ways: 1) by showing in which way design can stimulate knowledge sharing in a research building, and 2) by making a contribution to the knowledge sharing between the parties involved in designing the workplaces of these research buildings. CRE managers and designers use a certain terminology to describe (their demands for) a design. They use several layout terms that are also used by CRE academics in their studies. These layout descriptions, however, do not provide quantitative information on how the design actually stimulates knowledge sharing and cannot be implemented straight into a design by the architect either, which can cause confusion and miscommunication. Space syntax variables do show quantifiable outcomes and are unambiguous in their interpretation, but are part of a language that CRE managers do not use. Therefore, this paper first describes a literature study on mentioned design terms to stimulate knowledge sharing between employees and connects these terms with possible space syntax variables to measure them. The results are tested in an exploratory case-study with 138 employees of a large research driven organisation in the Netherlands. Both co-presence and movement can stimulate knowledge sharing, and can be quantified with proximity, accessibility and other configuration measures. Results of the case study on co-presence show that VGA connectivity (the number of visible workplaces) is the strongest predictor of the number of knowledge sharing interactions a person has at work. The information from these types of studies can be used to build a tool that helps CRE managers become involved in the strategic decision making process of their organisation and prove the added value of their work.