Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Output Regulation Of Uncertain Chaotic Systems With Input Magnitude And Rate Constraints

Abstract The problem of output regulation deserves a special attention particularly when it comes to the regulation of nonlinear systems. It is well-known that the problem is not always solvable even for linear systems and the fact that some demanding applications require not only magnitude but also rate actuator constraints makes the problem even more challenging. In addition, real physical systems might have parameters whose values can be known only with a specified accuracy and these uncertainties must also be considered to ensure robustness and on the other hand because they can be crucial for the type of behaviour exhibited by the system as it happens with the celebrated chaotic systems. The present paper proposes a robust control method for output regulation of chaotic systems with parameter uncertainties and subjected to magnitude and rate actuator constraints. The method is an extension of a work recently addressed by the same authors and consists in decomposing the nonlinear system into a stabilizable linear part plus a nonlinear part and in finding a control law based on the small-gain principle. Numerical simulations are performed to validate the effectiveness and robustness of the method using an aeronautical application. The output regulation is successfully achieved without exceeding the input constraints and stability is assured when the parameters are within the specified intervals. Furthermore, the proposed method does not require much computational effort because all the control parameters are computed offline.
Estimation of heterosis in yield and yield attributing traits in single cross hybrids of maize

A field experiment was conducted at National Maize Research Program, Rampur, Chitwan, Nepal during winter season from 6 th October, 2015 to 5 th March 2016 to estimate different heterosis on single cross maize hybrids . Thirteen maize hybrids were tested randomized complete block design with three replications. Hybrid namely RML-98/RL-105 gave the highest standard heterosis (57.5%) for grain yield over CP-666 followed by RML-4/NML-2 (32.6%), RML-95/RL-105 (29%) and RML-5/RL-105 (20.6%). The hybrid RML-98/RL-105 produced the highest standard heterosis (75.1%) for grain yield over Rajkumar followed by RML-4/NML-2(50.2%), RML-95/RL-105(46.6%), RML-5/RL-105 and (35.7%). Mid and better parent heterosis were significantly higher for yield and yield attributes viz. ear length, ear diameter, no of kernel row per ear, no of kernel per row and test weight. The highest positive mid-parent heterosis for grain yield was found in RML-98/RL-105 followed by RML-5/RL-105, RML-95/RL-105, and RML-4/NML-2. For the grain yield the better parent heterosis was the highest in RML-98/RL-105, followed by RML-5/RL-105, RML-95/RL-105, and RML-4/NML-2. These results suggested that maize production can be maximized by cultivating hybrids namely RML-98/RL-105, RML-5/RL-105, RML-95/RL-105, and RML-4/NML-2.
Tensorial‐Analysis‐of‐Networks Applied to Bandpass Negative‐Group‐Delay Analysis of Resistorless LC‐Coupler‐Network

This paper develops a bandpass (BP) negative‐group‐delay (NGD) analysis of multi‐port topology. The circuit under study consists of resistorless symmetric coupler constituted by passive LC‐networks. By using the tensorial‐analysis‐of‐networks (TAN) formalism, an innovative study enables to verify if the four‐port circuit is susceptible to exhibit the unfamiliar BP‐NGD function. Using the TAN formalism, the different steps of the method is described from the branch and mesh spaces via the tensor connectivity to determine the equivalent S‐parameters. The general methodology of the S‐matrix modeling is expressed in the function of the coupler L and C parameters. To validate the BP‐NGD behavior, an arbitrary parametrized lumped four‐port coupler is considered as a proof‐of‐concept. The feasibilities of the TAN S‐parameter modeling added by the BP‐NGD function is validated comparison results between TAN mathematical calculations and simulations from a commercial tool. Excellent correlations between the calculated and simulated results are confirmed with BP‐NGD behavior of the connections between port 1 and port 2 with −30 ns NGD value at the center frequency, 124 MHz, and between port 1 and port 4 with −27 ns NGD value at the center frequency, 92 MHz. The present results confirm a scientific result never being found before, the first time, which demonstrates the possibility to generate the BP‐NGD function with a four‐port resistorless circuit. The TAN method flexibility advantages are the flexibility to lumped and distributed circuits. However, the sensitivity to the component inaccuracies constitute the main drawbacks.
Influence of arrival weight of Holstein steers of similar age on feedlot growth performance, dietary energetics, and carcass characteristics

Objective: Evaluate the effect of arrival weight on feedlot growth performance and carcass characteristics of Holstein steers of similar age. Material and Methods: Three hundred calf-fed Holstein steers (age 113 ± 1-day) were distributed in a completely randomly unbalanced design and divided into five categories (105, 112, 117, 123, and 129 kg) of shrunk initial weight (SIW). Calves were weighed on days 1, 112, 224, and 361. Calves were fed steam-flaked corn-based diets. Growth performance and dietary energy were evaluated for each period and the study as a whole (1–361-day). Results: During the rearing period, average daily gain (ADG) increased (linearly effect, p < 0.01) with increasing birth weight. Birthweight was positively associated (p < 0.05) with feedlot arrival weight (R2 = 0.47) and final harvest weight (R2 = 0.36). Overall ADG increased (p < 0.01) with increasing SIW. Dry matter intake increased linearly during the first 224-day but quadratically during the last 137 days. Overall, there was a quadratic effect (p < 0.05) of SIW on gain-to-feed and observed-to-expected dietary NE, with lower efficiencies (4%) for steers in both the lightest and heaviest SIW. Hot carcass weight, Longissimus muscle area, marbling score, and fat thickness increased (linear effect, p ≤ 0.03) as SIW increased, whereas kidney-pelvic-heart fat and yield-grade were unaffected. Conclusions: The initial arrival weight influences the growth performance, energetic efficiency, and carcass characteristics of Holstein steers of similar age. The effect is more pronounced in the lighter (<112 kg) steers.
Recent Advance of Neuronal Cell Antigens and Autoimmune Encephalitis

Patients with autoimmune encephalitis rarely present to neurology clinic before presenting to memory, seizure, movement disorder, and psychiatry clinics, recent discovery of neuronal surface autoantibodies have shifted the balance towards the diagnosis of autoimmune encephalitis, patients with autoimmune encephalitis used to receive the diagnosis of infectious encephalitis, with poor response to antiseizure, antibacterial and antiviral therapy, autoimmune encephalitis has a fundamental phenotype which is very specific even if serology was negative, early diagnosis is of paramount importance due to starting immunotherapy and avoid mortality and significant morbidity.
Influencing Factors of Teachers' Sharing Behaviors of Digital Teaching Resources in Online Teaching Activities

Abstract—A scale for the influencing factors of teachers’ sharing behaviors of digital teaching resources in online teaching activities based on IMBP (Integrative Model of Behavioral Prediction) theoretical model and behavioral motivation theory was designed in this study. Then, the major influencing factors were explored. Results demonstrate that the Cronbach α and KMO values are 0.935 and 0.831, indicating good reliability and validity of the designed questionnaire. Sharing motivation and sense of self-efficacy significantly and positively affect the teachers’ sharing behaviors in online teaching activities. In contrast to work stress with no significantly negative effects, awareness of knowledge protection has significantly negative effects on teachers’ sharing behaviors. Sharing atmosphere provides complete and partial mediating effects on the negative effects of work stress and awareness of knowledge protection. The effects of school location (urban or rural), school type, and teaching age on teachers’ sharing behaviors are all significant on the 0.05 level. The obtained conclusions provide important references to the strengthening of technological and teaching supports to teachers, create a generous sharing atmosphere of digital resources, and contribute to the deep and wide propagation of digital resource sharing.
Nexus between energy pricing and carbon emission. A policy mix response of developing economies

Abstract The study utilised a data set of South Asian countries of energy pricing (E.P.), carbon emission, and policy mix between 1990 and 2020. A comprehensive set of models from econometric such as fixed effect (F.E.), and panel quantile regression (P.Q.R.) is used to determine the relationship between underline indicators. Furthermore, the T.O. P.S. I.S. method from operational research was applied to determine the efficiency level of these factors in the South Asian region. E.P. and carbon emission are contributing positively to the process of household consumption (H.C.). In the policy mix scenario, H.C. is positively associated with inflation while negatively with the tax rate. Furthermore, the outcomes of the T.O. P.S. I.S. indicate that Bhutan is performing efficiently in the said parameters followed by Pakistan, while India’s performance is not impressive in this regard. This study can be helpful to policymakers for effective energy demand planning, conservation, and frame policies that would ensure sustainable H.C. and serve as motivation to search for alternative energy sources to meet the growing energy demand.
Metabolomics Approach to Investigate Oxidation Stabilities In Different Bovine Muscles With Postmortem Aging

Ma, Danyi. M.S., Purdue University, August 2016. Metabolomics Approach to Investigate Oxidation Stabilities In Different Bovine Muscles With Postmortem Aging. Major Professor: Y. H. B. Kim. Postmortem aging has been extensively practiced in the meat industry for decades due to its beneficial impact on improving eating quality attributes. However, prolonged postmortem aging may adversely impact color and/or lipid oxidation stabilities of meat, leading to decreased display shelf-life and increased rancid off-flavor. As physical/biochemical changes occur during postmortem aging, metabolites that impart antioxidant or pro-oxidant activities are generated or consumed, which could be related to the oxidation stabilities of postmortem muscles with aging. However, the underlying mechanism of the aging-induced oxidation susceptibility has not been fully established. Therefore, the overall objective of this thesis was to understand the effect of postmortem aging on oxidation related metabolites in different bovine muscles. The first chapter of this thesis is the literature review, and the second chapter focuses on determining the effect of postmortem aging on color and lipid oxidation stabilities in different bovine muscles. Three muscles, longissimus lumborum (LL), semimembranosus (SM), and psoas major (PM) were chosen (n=7) for the study due to
Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Distribution networks (DNWs) are facing numerous challenges, notably growing load demands, environmental concerns, operational constraints and expansion limitations with the current infrastructure. These challenges serve as a motivation factor for various distribution network planning (DP) strategies, such as timely addressing load growth aiming at prominent objectives such as reliability, power quality, economic viability, system stability and deferring costly reinforcements. The continuous transformation of passive to active distribution networks (ADN) needs to consider choices, primarily distributed generation (DG), network topology change, installation of new protection devices and key enablers as planning options in addition to traditional grid reinforcements. Since modern DP (MDP) in deregulated market environments includes multiple stakeholders, primarily owners, regulators, operators and consumers, one solution fit for all planning scenarios may not satisfy all these stakeholders. Hence, this paper presents a review of several planning techniques (PTs) based on mult-objective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders. The PTs in the paper spread across four distinct planning classifications including DG units as an alternative to costly reinforcements, capacitors and power electronic devices for ensuring power quality aspects, grid reinforcements, expansions, and upgrades as a separate category and network topology alteration and reconfiguration as a viable planning option. Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints. The paper also provides a composite review of current research accounts and interdependence of associated components in the respective classifications. The potential future planning areas, aiming at the multi-objective-based frameworks, are also presented in this paper.
Framework Analysis of Scientists and Technicians Reporting from China's Mainstream Media's WeChat Official Accounts based on Six Central News Agencies

Nowadays, the world is undergoing profound changes unseen in a century, and public communication of science & technology has been becoming more and more vital. It is one of China's media's responsibilities to create "Star Scientists" and to tell unique stories of scientists and technicians well with Chinese characteristics. The rapid development and deep integration of new media have put forward higher requirements on mainstream media for the typical reports and public opinion guidance of scientists and technicians. In this quantitative research, 272 reports on Chinese scientists and technicians from six central news agencies' WeChat official account within six months, including Xinhua News Agency and Guangming Daily, were taken as study objects by using content analysis. Based on Zang Guoren's Three Levels of Frame Theory, original texts were coded for statistical analysis of each report's theme, genre, schematic structure, characters, rhetorical context, form, page views, likes and wows. In the end, the study explored characteristics of different media, reflected on existing problems of science & technology communication, and made five suggestions for advancing integrated media reports on typical scientific figures in the new era, in order to accelerate to build China into an innovative country, as well as a science & technology giant.
Identification of key players in networks using multi-objective optimization and its applications

Identification of a set of key players, is of interest in many disciplines such as sociology, politics, finance, economics, etc. Although many algorithms have been proposed to identify a set of key players, each emphasizes a single objective of interest. Consequently, the prevailing deficiency of each of these methods is that, they perform well only when we consider their objective of interest as the only characteristic that the set of key players should have. But in complicated real life applications, we need a set of key players which can perform well with respect to multiple objectives of interest. In this dissertation, a new perspective for key player identification is proposed, based on optimizing multiple objectives of interest. The proposed approach is useful in identifying both key nodes and key edges in networks. Experimental results show that the sets of key players which optimize multiple objectives perform better than the key players identified using existing algorithms, in multiple applications such as eventual influence limitation problem, immunization problem, improving the fault tolerance of the smart grid, etc. We utilize multi-objective optimization algorithms to optimize a set of objectives for a particular application. A large number of solutions are obtained when the number of objectives is high and the objectives are uncorrelated. But decision-makers usually require one or two solutions for their applications. In addition, the computational time required for multi-objective optimization increases with the number of objectives. A novel approach to obtain a subset of the Pareto optimal solutions is proposed and shown to alleviate the aforementioned problems. As the size and the complexity of the networks increase, so does the computational effort needed to compute the network analysis measures. We show that degree centrality based network sampling can be used to reduce the running times without compromising the quality of key nodes obtained. IDENTIFICATION OF KEY PLAYERS IN NETWORKS USING MULTI-OBJECTIVE OPTIMIZATION AND ITS APPLICATIONS
Psychometric properties of the Emotion Regulation Questionnaire in a Mexican sample and their correlation with empathy and alexithymia

Abstract The Emotion Regulation Questionnaire (ERQ) measures the use of two emotional regulation strategies, cognitive reappraisal, and expressive suppression. Although widely used, there is no description of the psychometric properties of the ERQ and its correlations with alexithymia and empathy in a Mexican sample. We examine the psychometric properties of the ERQ in a Mexican sample (N = 792) assessing its correlations with alexithymia and empathy utilizing the Toronto Alexithymia Scale and the Interpersonal Reactivity Index. Confirmatory factor analyses confirmed the two-factor model. Each factor showed acceptable levels of Cronbach’s alpha reliability scores. Cognitive reappraisal scores correlated negatively with alexithymia and positively with higher empathy measures, while expressive suppression correlated positively with alexithymia and personal distress, and negatively with cognitive empathy scales and empathic concern. The ERQ has strong psychometric properties in a Mexican sample and can be applied in a confident manner in conjunction with other tests to complement the assessment of affective traits. In addition, considering previous suggestions regarding the relation between emotion regulation strategies and different components of the empathic response, the correlations between empathy measures and the emotional regulation strategies shown in this study opens a pathway to further research such interactions.
Analysis and Optimization of a Machined Steel Kit Manufacturing Process

IHC Metalix, a producer of machined steel kits for the shipbuilding industry, is currently in the process of improving production efficiency by modifying an existing crane as well as by installing two additional cranes, a pallet conveyor, and a pallet storage rack. The exact effects of these improvements on the production process have not been quantified. Furthermore, the influences of the order properties on the production process not known. The goal of this project is to analyze the effect of the process upgrades and order properties on the production process. This project also aims to generate and test the effect of additional process improvements. Different order portfolios were created to represent the current order book of IHC Metalix and possible changes in the order book in the next few years. The influences of these order portfolios on the production process were determined using a sub-process capacity calculation and simulation model. The simulation model was also used to implement and test further improvements to the process. This study found that the process improvements installed in the past year should increase production capacity by approximately 25%. The plate cutting machines were found to be the process bottleneck for all of the order portfolios. Large ship types with simple structures (such as pipelaying vessels and construction projects) have a positive effect on the production capacity. Small vessels with complex structures (such as yachts, tugs, and inland cruise vessels) reduced the total production capacity. Coasters and dredgers were found to have little effect on the total production capacity. To improve the production process, it is recommended that two large part finishing tables are removed to make space for two additional flatrack positions. The printing algorithm of the vector plotters mounted to the cutting machines should also be improved as much as possible. If additional production capacity is required, a separate plate printer could also be installed. These improvements can increase the production capacity up to 18%.
The Tunka-Rex antenna station

Tunka-Rex is the radio extension of Tunka-133, a 1 km2 air-Cherenkov Detector for air showers in Siberia. Tunka-Rex began operation on October 8th 2012 with 20 radio antennas. Its main goals are to explore the possible precision of the radio detection technique in determination of primary energy and mass. Each radio antenna station consists of two perpendicular aligned active SALLA antennas, which receive the radio signal from air showers. The preamplified radio signal is transmitted to local cluster centers of the Tunka-133 DAQ, where it is filtered, amplified and digitized. To reconstruct the radio signal it is crucial to understand how it is affected in each of these steps. Thus, we have studied the combined response of the antenna, with its directional pattern and the analog electronics chain, consisting of a Low-Noise Amplifier and a filter amplifier. We discuss the hardware setup of Tunka-Rex and how a description of its response is obtained. Furthermore, we estimate systematic uncertainties on the reconstructed radio signal due to hardware effects (e.g., slight variations of the electronics properties). Finally, we present background measurements with the actual Tunka-Rex antennas.
Age estimation using the sternal end of the clavicle: a test of the Falys and Prangle (2014) archaeological method for forensic application

Age estimation is a critical component of the biological profile in forensic and bioarchaeological contexts. The majority of age estimation methods are most accurate for individuals of younger age cohorts, typically those under 40 years of age. Skeletal degeneration can vary greatly between individuals, making age estimation less accurate for adult individuals. While there are some methods that attempt to age older individuals accurately and precisely, more research must be conducted to expand the range of methods available. Falys and Prangle (2014) developed a method for estimating age in individuals over the age of 40 using three degenerative characteristics of the sternal end of the clavicle: (1) surface topography, (2) porosity, and (3) osteophyte formation. In order to test their method, a sample of 1,510 individuals of known sex and age, ranging from 20 to 101 years of age (males: n = 1112, mean = 50.57, SD = 18.015; females: n = 398, mean = 53.065, SD = 20.358), were drawn from the McCormick Collection and the William M. Bass Donated Skeletal Collection at the University of Tennessee. Due to the paucity of remains of other ancestries, only individuals of reported White ancestry were used in this study.