Miracle-dz/UniFAR-FTUs huggingface dataset:
Linear processes on complex networks

This article studies the dynamics of complex networks with a time-invariant underlying topology, composed of nodes with linear internal dynamics and linear dynamic interactions between them. While graph theory defines the underlying topology of a network, a linear time-invariant state-space model analytically describes the internal dynamics of each node in the network. By combining linear systems theory and graph theory, we provide an explicit analytical solution for the network dynamics in discrete-time, continuous-time and the Laplace domain. The proposed theoretical framework is scalable and allows hierarchical structuring of complex networks with linear processes while preserving the information about network, which makes the approach reversible and applicable to large-scale networks.
Robot Controlling Robots - A New Perspective to Bilateral Teleoperation in Mobile Robots

—Adaptation to increasing levels of autonomy - from manual teleoperation to complete automation is of particular interest to Field Robotics and Human-Robot Interaction community. Towards that line of research, we introduce and investigate a novel bilaterally teleoperation control strategy for a robot to the robot system. A bilateral teleoperation scheme is typically applied to human control of robots. In this abstract, we look at a different perspective of using a bilateral teleoperation system between robots, where one robot (Labor) is teleoperated by an autonomous robot (Master). To realize such a strategy, our proposed robot-system is divided into a master-labor networked scheme where the master robot is located at a remote site operable by a human user or an autonomous agent and a labor robot; the follower robot is located on operation site. The labor robot is capable of reﬂecting the odometry commands of the master robot meanwhile also navigating its environment by obstacle detection and avoidance mechanism. An autonomous algorithm such as a typical SLAM-based path planner is controlling the master robot, which is provided with a suitable force feedback informative of the labor response by its interaction with the environment. We perform preliminary experiments to verify the system feasibility and analyze the motion transparency in different scenarios. The results show promise to investigate this research further and develop this work towards human multi-robot teleoperation.
Are resources a curse or blessings? Evidence from panel ARDL model

The present study investigates the resource curse hypothesis in mining-rich districts of Odisha by taking variables such as natural resource abundance, economic growth, investment, human resource development, financial development and institutional quality over the period 1995-2015. The panel ARDL model is applied in order to estimate the long-rum relationship among variables based on three alternative estimators such MG, PMG and DFE. The study finds that there is a negative relationship between natural resource abundance and economic growth in the long-run. The results confirm the existence of natural resource curse in Odisha possibly because of weak institutions and lack of appropriate policies.
Loci associated with the chicken resistance to Salmonella enteritidis infection revealed by genome-wide association study

Salmonellosis is one of the most important foodborne diseases in the world. Salmonellosis caused by the Salmonella Enteritidis (SE) is an acute or chronic disease in chickens. To investigate host genetic resistance to Salmonella enteritidis, Genome-Wide Association Study (GWAS) was conducted on 40 SE-inoculated chickens based on a case control design, including 20 resistant and 20 susceptible chickens. The results showed that three SNPs were associated with host resistance to SE. One SNP of rs313281555 located in the LPP gene reached chromosome-wide significance (P<5.4e-07). Two suggestive SNPs, rs80757564 and rs313644723, were located in LRP5 and Wnt7b respectively. Moreover, genotype of those three loci was significantly associated with SE burden in cecal content (P<0.05). This is the first study to investigate SE-resistance loci, and paves the genetic basis for genetics of SE resistance in chicken. ISSN: 2640-1223
Sliding-mode observers for systems with unknown inputs and measurement disturbances

The method to design sliding-mode observers for systems with unknown inputs and measurement disturbances is presented in the paper. An augmented system is constructed by viewing the measurement disturbances as unknow inputs. For such an augmented system, the so-called observer matching condition is not satisfied. Based on the construction of auxiliary outputs, the observer matching condition may be satisfied. High-order sliding-mode differentiators are developed to obtain the estimates of those unmeasurable variables contained in the auxiliary output vector. Employing the estimate of auxiliary output vector, a sliding-mode observer is designed. The simulation results to a real model show that the proposed method is effective.
A Modified Graham’s Scan Algorithm for Finding the Smallest Connected Orthogonal Convex Hull of a Finite Planar Point Set

Graham’s convex hull algorithm outperforms the others on those distributions where most of the points are on or near the boundary of the hull (D. C. S. Allison and M. T. Noga, Some performance tests of convex hull algorithms, BIT Numerical Mathematics, Vol. 24, pp. 2-13, 1984). To use this algorithm for finding an orthogonal convex hull of a finite planar point set, we introduce the concept of extreme points of a connected orthogonal convex hull of the set, and show that these points belong to the set. Then we prove that the smallest connected orthogonal convex hull of a finite set of points is an orthogonal (x, y)-polygon where its convex vertices are its connected orthogonal hull’s extreme points. As a result, an efficient algorithm, based on the idea of Graham’s scan algorithm, for finding the smallest connected orthogonal convex hull of a finite planar point set is presented. We also show that the lower bound of such algorithms is O(n log n). Some numerical results for finding the smallest connected orthogonal convex hull of such a set are given. Subject classifications: 52A30, 52B55, 68Q25, 65D18. P. T. An Institute of Mathematics, Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Road, Cau Giay District, Hanoi, Vietnam E-mail: thanhan@math.ac. vn P. T. T. Huyen Institute of Mathematics, Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Road, Cau Giay District, Hanoi, Vietnam E-mail: ptthuyen@math.ac. vn N. T. Le People’s Security Academy 125 Tran Phu Street, Ha Dong District, Hanoi, Vietnam E-mail: ngle37@gmail.com 2 Phan Thanh An et al.
Optimized null steering in compact bowtie antenna array using simulation driven Taguchi method

Ever rising increase in number of wireless services has prompted the use of spatial multiplexing through null steering. Various algorithms provide electronic control of antenna array pattern. Simulation-driven technique further introduces correction in array factor to account for array geometry. Taguchi method is used here to combat interference in practical antenna arrays of non-isotropic elements, by incorporating the effect of antenna element pattern on array pattern control in the optimization algorithm. 4-element rectangular and bowtie patch antenna arrays are considered to validate the effectiveness of Taguchi optimization. The difference in the computed excitations and accuracy of null steering confirms the dependence of beam pattern on element factor and hence eliminates the need for extra computations performed byconventional algorithms based on array factor correction. Taguchi method employs an orthogonal array and converges rapidly to the desired radiation pattern in 25 iterations, thus signifying it to be computationally cost-effective. A higher gain and a significant reduction in side lobe level (SLL) was obtained for the bowtie array. Further, due to feed along parallel edges of the patch, the radiating edges being slanted to form the bow shape results in a significant reduction in the area as compared with the rectangular patch designed to resonate at the same frequency.
RESEARCH OF BAMBOO QUALITATIVE MATERIAL TACTILE CHARACTERISTICS

In this study, the semantic differential method was employed for investigating the tactile properties of bamboo qualitative material, such as bamboo integrated timber (vertical splicing plate), bamboo integrated timber (transverse splice plates), bamboo parallel strand lumber, whole bamboo unfolding plate (outer of bamboo), whole bamboo unfolding plate (remove outer of bamboo), bamboo plastic composite plate, while Liquidambar formosana and Abies fabri (Mast) were selected as contrast. Respondents rated the samples by descriptive words, such as natural, exclusive, eco-friendly, rough, inexpensive, reliable, warm, modern, snug, and solid. Moreover, statistical analysis was employed for analyzing the data. The results showed that material and tactile characteristics exhibit significant correlation. Principal component analysis yielded four attributes based on tactile perceptions. Summing up the main points of the experiment, the tactile properties of different bamboo qualitative material were obtained.
Character Recognition based on Trellis Diagrams

—Many papers on pattern recognition have been published in the last decades but character recognition is still part of current research. However, one main topic are classiﬁers that can be easily augmented by new training data or even new classes. Furthermore, the classiﬁers have to have a certain robustness with respect to noise, i.e., the recognition rate must not be signiﬁ-cantly affected by the presence of noise in the character images. For this reason a new classiﬁer approach is introduced, which is based on trellis diagrams and thus similar to a Viterbi decoder known from communication systems. The training as well as the classiﬁcation procedure are discussed in detail. Additionally, to show the competitiveness the performance is compared with already existing classiﬁers on a character dataset with and without noise.
Evaluation of Bearing Voltage Reduction in Electric Machines by Using Insulated Shaft and Bearings

Bearing voltages and corresponding currents in electric machines driven by pulse width modulation (PWM) converters with fast switching and high dv/dt can cause premature bearing failures. This paper evaluates the bearing voltage reduction by using insulated shafts and bearings. An equivalent circuit representation of electric machines taking into account high-frequency effects is developed to show the production mechanism of bearing voltage, based on which simulations are performed with detailed finite element models for transient and simplified equivalent circuit for steady-state analysis. The steady-state equivalent circuit is then calibrated, by combined numerical calculations and experimental measurements, and used to predict the bearing voltage for various scenarios, proving the effectiveness of using insulated shaft and bearings in reducing the steady-state bearing voltage.
Graph Neural Network-based Virtual Network Function Management

Software-Defined Networking (SDN) and Network Function Virtualization (NFV) help reduce OPEX and CAPEX as well as increase network flexibility and agility. But at the same time, operators have to cope with the increased complexity of managing virtual networks and machines, which are more dynamic and heterogeneous than before. Since this complexity is paired with strict time requirements for making management decisions, traditional mechanisms that rely on, e.g., Integer Linear Programming (ILP) models are no longer feasible. Machine learning has emerged as a possible solution to address network management problems to get near-optimal solutions in a short time. In this paper, we propose a Graph Neural Network (GNN) based algorithm to manage VNFs. The proposed model solves the complex VNF management problem in a short time and gets near-optimal solutions.
Carbon budgets of boreal lakes: state of knowledge, challenges, and implications

Converging evidence suggests that freshwater systems play an important role in the carbon cycles at both regional and global scales. In addition, there are serious concerns that ongoing and future changes to the environment could alter these dynamics. This is particularly important in the boreal forest biome, which contains a very high density of lakes. In this review, we synthesize the current state of research to provide a critical overview of (i) the role of boreal lakes as emitters versus sinks of carbon, (ii) their contribution to the regional carbon balance, (iii) knowledge gaps that may inhibit an accurate evaluation of the role of boreal lakes in a landscape context, and (iv) impacts of environmental perturbations on carbon dynamics in boreal lakes. Several recent studies indicate that boreal lakes are actively processing, emitting, and storing carbon rather than being passive transport conduits. Yet, generalizing the role of lake ecosystems for the overall carbon balance of the boreal forest biom.
IN SEARCH OF FINANCIAL PERFORMANCE SUPERIORITY VIA PRODUCT AND CUSTOMER PERFORMANCE OUTCOMES: THE ROLE OF COMPLEMENTARY RESOURCE-CAPABILITY COMBINATION WITHIN AND BETWEEN INNOVATION AND MARKETING AREAS

The primary focus of this paper is to specifically examine the roles of complementary within innovation resources-capability and marketing resources-capability combinations in achieving financial performance through product and customer performance outcomes. Using data from 171 small and medium sized manufacturing firms, the results suggest that complementary innovation resources-capability combination, complementary marketing resources-capability combination and their interaction are positively related to financial performance through product and customer performance outcomes. Interestingly, the results indicate that innovation resources-capability complementarity contributes more to financial performance via product performance than via customer performance. Likewise, marketing resources-capability complementarity contributes more to financial performance via customer performance than via product performance.
Trust and Professionalism: Challenges and Occupational Changes

This introductory article provides the background and clarifies the concepts and questions to be addressed in the articles that follow. It begins with a section examining how trust and professionalism have been linked in the sociological literature on the professions. The second section outlines a different interpretation of profession and professionalism, which explains how these concepts are increasingly used as discourses of occupational change and social control. The article concludes by examining the consequences of a focus on the discourse of professionalism for the intellectual field of sociology of professional groups and of the claim that there has been a decline of trust, competence and discretion in professional work. keywords: discourse ✦ ideology ✦ occupational value ✦ trust and professionalism
A structured business model typology for product-service systems in capital goods sector

In the current competitive environment, manufacturing companies move from product-centric offerings to services and solutions in order to increase revenues and to build sustainable competitive advantage (Neely, 2008). This transition have been discussed in literature since the ‘90es through the investigation of various concepts, such as “servitization”, “transition from products to services”, “product-service systems”, etc. Recent studies shows that a company in order to be successful in this transformation should not only adapt its proposition from product-centric to a product-service system, but also needs to redesign its business model (BM) (Baines et al., 2009; Slepniov et al., 2010; Kindstrom and Kowalkowski, 2014). However, research and anecdotal evidences suggest that manufacturers undertaking such a shift face several challenges (Brax 2005; Alghisi and Saccani, 2014). In particular, little attention has been devoted to the understanding, describing and formalizing the BM of companies that move into services (Dimache and Roche, 2012; Reim et al., 2014). Very little research tries to develop a scheme of analysis of such BM, identifying the relevant features/variables and as well to identify typical configurations of such features/variables according to different PSSs characteristics. To provide a first step into closing this gap, this study, that stems from a large research project funded by the European Community's Seventh Framework Programme (T-REX) aims to propose a new framework to describe service-oriented BM based on the BM Canvas (Osterwalder and Pigneur, 2010) and to develop a typology of service-oriented BM.
Integrating Multiple Toxicological Endpoints in a Decision-Making Framework for Contaminated Sediments

Contaminated sediment has been identified as one of the major impediments to ecosystem restoration, but there has been little progress made in the management of sediment contaminants. Four primary lines of evidence are generally required for informed assessments yet the integration of these various lines of evidence is problematic. Using data from 220 reference sites located in the nearshore zone of the Laurentian Great Lakes the normal response of four species of laboratory organisms to sediments representing a wide range of sediment characteristics was examined. The toxicity data from the reference sites were used to establish categories of responses to test sediments. The delineations for the three categories were developed from the standard statistical parameters of population mean and standard deviation (mean ± SD) of an endpoint measured in all reference sediments. Three approaches for integrating information were examined; the first two are score based, the third approach uses a multivariate statistical method to integrate the responses. The methods were examined using both artificial and real test site data and from this it was concluded that ordination is the superior of the three. It is the least subjective within the context of the integration of the endpoints, is quantitative, and also provides appropriate weighting based on the variation observed within reference sites.
The relationship between knowledge management and intellectual capital to gain competitive advantage employees

The population of this study included all employees of National Bank branches in Golestan province that includes or high school diploma, diploma, undergraduate and postgraduate and higher that number is 600. The sample size was determined using 234 farmers and Morgan table and stratified random sampling for the study. Library and field research data were collected using standard questionnaires was used tools. The reliability of the questionnaire using Cronbach and validity have been confirmed by the content The Spearman correlation test to analyze the data using SPSS software is used. The results show that among all the components of knowledge management and intellectual capital to gain competitive advantage in Golestan National Bank branch staff there is a significant relationship.
CAUSAL RELATIONSHIPS AMONG LEISURE, BUSINESS TRAVEL ARRIVALS AND TOURISM DEVELOPMENT: EMPIRICAL EVIDENCE FROM KOREA

This study examines the causal relationship between leisure, business travel arrivals and tourism growth in Korea. The Granger causality test is performed in order to reveal the direction of causality between tourist arrivals by different purpose and tourism development. Test results indicate that 1) a long-run equilibrium relationship between leisure and business travel arrivals exists, 2) a short run bi-directional causality between leisure travel arrivals and tourism growth exists, and 3) the growth of leisure travel arrivals is the catalyst for the growth of business travel arrivals. A discussion follows and managerial implications are identified based on the empirical findings.
Effects of alternative forest management on biomass and species diversity in the face of climate change in the northern Great Lakes region (USA)

Northern Great Lakes forests represent an ecotone in the boreal–temperate transition zone and are expected to change dramatically with climate change. Managers are increasingly seeking adaptation strategies to manage these forests. We explored the efficacy of two alternative management scenarios compared with business-as-usual (BAU) management: expanding forest reserves meant to preserve forest identity and increase resistance, and modified silviculture meant to preserve forest function and increase adaptive capacity. Our study landscapes encompassed northeastern Minnesota and northern Lower Michigan, which are predicted to experience significant changes in a future climate and represent a gradient of latitude, forest type, and management. We used the LANDIS-II forest simulation model to simulate forest change under current climate, low emissions climate, and high emissions climate futures. Our results suggest that under a low emissions climate scenario, expanded reserves and modified silviculture strateg.
Competition and Technology Adoption∗

We examine the adoption of precalciner technology in the portland cement industry over 1974-2010. Our estimation results indicate that adoption is positively affected by the “fuel cost gap” between incumbent kilns and precalciner kilns, but that this relationship dissipates with both domestic and import competition. We motive this interactive effect of competition using a theoretical model adapted from Dasgupta and Stigliz (1980). Interpreted through the model, our results indicate that competition limits the ability of firms to appropriate the benefits of new technology adoption. Our research contributes to the literature on competition and innovation, and has practical implications for policy-makers.
A New Blind Ultra Wideband Impulse Radar Detector

— In this paper, we model the received signals in UWB radars as a Fourier series expansion with time varying coefficients to introduce a new MMSE estimator based on the unconditional orthonormal signal representation, moreover, a new method for detection of these signals in presence of (non)-Gaussian additive noise in stationary and moving target scenario is provided. We utilize the discrete prolate spheroidal sequences (DPSS) as unconditional orthonormal signals. Conventional UWB radar detectors use maximum likelihood detection which relies on correlating pair of adjacent segments. Simulations for CFAR detectors are presented to compare the introduced method with conventional UWB radar detectors called interleaved periodic correlation processing (IPCP).
Differentiation in Coregonus zenithicus in Lake Superior

Morphological variation in Coregonus zenithicus has long plagued biologists working on Lake Superior ciscoes. Some of this variation is due to allometric growth; earlier workers incorrectly recognized large C. zenithicus as a distinct species, C. nigripinnis cyanopterus. Coregonus reighardi dymondi is a variant of C. zenithicus in northern bays of Lake Superior and Lake Nipigon. The morphological differences between members of spring and fall spawning populations of C. zenithicus in Lake Superior are no greater than those between geographically separate populations. We conclude that spawning time and geographic isolation act similarly in effecting differentiation of coregonine populations, and that populations with different spawning times do not necessarily represent different species.Key words: Coregonus zenithicus, cisco, Great Lakes, multivariate morphometrics, endangered species, taxonomy