Miracle-dz/UniFAR-FTUs huggingface dataset:
CHANGE DETECTION TECHNIQUES

Remote Sensing and Geographic information System together comprise of Geographic Information Science (GIScience) which is a core research field that tries to emphasis on advanced geographic concepts in Geographic Information System and examines the impact of GIS on individuals and society as a whole and re-examines the themes with incorporation of most recent cognitive and Information Science. The Geographic Information System can be defined as a Computer based system and a tool, both hardware, software and procedures, which manages geospatial data, solves spatial problems, and supports collection, storage, transformation, analyzing, retrieving and display of data in a well desired manner. The integration of GIS and Remote Sensing is a field of research and several implementations have been developed to gain the maximum throughput out of these collective fields as these techniques have their own data analysis and data representation methods. The application domain of remote sensing is from a base layer for GIS to the development of thematic datasets, obtaining and extracting data from imagery and generation of unique spatial datasets. In my paper I have focused on the integration of both the fields along with its usage in Analysis and Modelling and also some models of error sources due to the integration of interface of the two techniques. The paper also describes some error sources while integration as GIS and remote sensing both are subject to errors and uncertainty. The paper has discussed some Change Detection Techniques used in the modern sciences with their comparison. In GIS all the images positioned should be accurate and correctly positioned. All the data layers should be described correctly, must be registered to one another and must be Georeferenced to a specific map projection and coordinate system. Base maps are the frame of reference for positioning and mapping. Remote sensing is the source of thematic data especially data on land use, land cover characteristics and surface elevation. So deriving thematic geospatial data through remote sensing is a big task. The images taken from remote sensing has spatial displacements of objects and variations. Such displacements should be removed in order to create orthorectified image. So for this purpose the data required should be imported from GIS only. Hence they have to be integrated with each other. So for further analysis the output data is fed back into the GIS system and used for other purposes.
Lexicon Creation for Financial Sentiment Analysis Using Network Embedding

In this study, we aim to construct a polarity dictionary specialized for the analysis of financial policies. Based on an idea that polarity words are likely located in the secondary proximity in the dependency network, we proposed an automatic dictionary construction method using secondary LINE (Large-scale Information Network Embedding) that is a network representation learning method to quantify relationship. The results suggested the possibility of constructing a dictionary using distributed representation by LINE. We also confirmed that a distributed representation with a property different from the distributed representation by the CBOW (Continuous Bag of Word) model was acquired and analyzed the differences between the distributed representation using LINE and the distributed representation using the CBOW model.
An efficient, differentiable hydration potential for peptides and proteins

An approximate method for calculating the exposed volume of the hydration shell (VHS) about an atom, the Reduced Radius Independent Gaussian Sphere (RRIGS) approximation, is presented. A key ingredient in this method is the use of reduced van der Waals radii so that the error of including only double overlap terms (and omitting multiple overlap terms) in calculating the VHS is balanced by a reduction in the magnitude of the double overlap terms. Also, the double overlap is modeled with a gaussian function. The RRIGS approximate calculation of the VHS is shown to be very accurate (the rms deviation of the VHS of each atom in avian pancreatic polypeptide and bovine pancreatic trypsin inhibitor was 14.0 and 15.8 Å3, respectively, out of a range of values between 0 and 600 Å3). The RRIGS approximation is used to develop a potential function to represent the free energy of solvation for proteins. The pairwise gaussian form of the potential enables it to be incorporated into a gaussian representation of ECEPP (Empirical Conformational Energy Program for Peptides) for use in the Diffusion Equation Method (DEM) of global optimization. Inclusion of the effects of hydration by means of this potential is shown to require less than twice the computational time needed for computing the ECEPP conformational potential energy alone; this makes inclusion of solvent computationally feasible. Furthermore, this gaussian hydration potential function and its derivatives are continuous, so that it may be readily minimized. The combined potential of ECEPP/3 plus hydration is shown to require fewer energy evaluations per local minimization than ECEPP/3 alone for two small peptides. © 1996 by John Wiley & Sons, Inc.
Realization of Substrate Integrated Waveguide Filters Based on a Novel Coupling Topology

A novel coupling topology is proposed in order to achieve sharp transition from passband to rejection band and improve its frequency selectivity for a second-order substrate integrated waveguide (SIW) filter. Based on the characteristics of the proposed coupling scheme, a finite transmission could arbitrarily be located below or above the passband. For validating the efficacy of the topology, a commercial electromagnetic simulation tool is adopted to obtain the optimized dimensions of the SIW filters. Then they are fabricated with the standard printed circuit board (PCB) technology, demonstrating a finite transmission zero either at the left side or right side of the passband. Measurement results are in good agreement with the simulations. Keywords-fitler; frequency selectivity, substrate integrated waveguide (SIW), transmission zeros
Organizational crisis , impression management strategies and employees ’ emotions

This paper examines employees’ emotional states and reactions to both organizational crisis and impression management strategies that are employed to manage employees’ impressions during crisis. Using thematic and content analytical strategies, qualitative data from three organizations revealed that beyond anger, employees experienced emotions of fear, sadness and surprise. To manage employees’ impression during crisis, senior managers used several strategies and especially attempted to hide the crisis. Emerging patterns also showed the discrepancies between management and employees preferred way of managing crisis. Implications of the findings are discussed. Key word: Crisis, impression management and emotions
Artescan , Portugal JOINT PROCESSING OF UAV IMAGERY AND TERRESTRIAL MMS DATA FOR VERY HIGH RESOLUTION 3 D CITY MODELING

Both Unmanned Aerial Vehicles (UAV) technology and Mobile Mapping Systems (MMS) are important techniques for surveying and mapping. In recent years, the UAV technology has seen tremendous interest, both in the mapping community and in many other fields of application. Carrying off-the-shelf digital cameras, the UAV can collect high resolution aerial images for city modeling using photogrammetric techniques. In addition, a MMS can acquire high density point clouds of ground objects along the roads. The UAV, if operated in an aerial mode, has difficulties in acquiring information of ground objects under the trees and along façades of buildings. On the contrary, the MMS collects accurate point clouds of objects from the ground, together with stereo images, but it suffers from system errors due to loss of GPS signals, and also lacks the information of the roofs. Therefore, both technologies are complementary. This paper focuses on the integration of UAV images, MMS point cloud data and terrestrial images to build very high resolution 3D city models. The work we will show is a practical modeling project of the National University of Singapore (NUS) campus, which includes buildings, some of them very high, roads and other man-made objects, dense tropical vegetation and DTM. This is an intermediate report. We present work in progress.
Self-Organized Learning of Collective Behaviours in Agent-Based Simulations

In this paper, we propose an approach to reduce the number of interactions among agents in a multi-agent simulation. Modeling agent interactions turns out to be computationally expensive, especially when arbitrary interactions are allowed. In order to diminish computational costs of simulating agent interactions, we propose a self-organized approach to abstracting recurrent interaction patterns among groups of agents. Predictably interacting groups of agents are subsumed by higher-order agents that reproduce similar behaviours but at reduced computational costs. To this end, observer agents are immersed into the simulation space in order to monitor groups of agents and learn interaction patterns. Since the dynamics of the system changes over time, an abstraction might loose its validity and must therefore be removed again. This process is regulated by conﬁdence values that are calculated and associated with individual abstractions. If a pattern exists for longer than anticipated, its conﬁdence value is increased. The process of creating and removing abstractions is repeated during the course of a simulation in order to ensure an adequate adaptation to the system dynamics. Experimental results on a biological agent-based simulation show that our proposed abstraction method can successfully reduce the computational complexity during the simulation while maintaining the possibility of arbitrary interactions.
NUTRITIONAL STATUS AND CARDIOMETABOLIC RISK IN WOMEN : RELATIONSHIP WITH USUAL AND NON-USUAL COMPONENTS OF BODY COMPOSITION ESTADO NUTRICIONAL

RESUMO Os componentes da composição corporal usuais: massa magra (MM) e massa gorda (MG) e não-usuais: relação gorduramassa magra (RGM), índice de massa magra (IMM), índice de massa gorda (IMG) são preditores de alterações em parâmetros da síndrome metabólica (SM) de acordo com o estado nutricional. Nesse aspecto, o objetivo do presente estudo foi investigar e discriminar a sensibilidade dos componentes não usuais como indicadores de risco para SM em mulheres adultas de acordo com o estado nutricional. O estudo incluiu 338 mulheres de 25 a 74 anos de idade. Avaliou-se a MM, MG relativa e absoluta, IMM, o IMG e a RGM, circunferência de cintura (CC), pressão arterial sistólica (PAS), pressão arterial diastólica (PAD). Constataram-se diferenças significativas entre os componentes usuais e não usuais da composição corporal para a CC, PAD e glicemia em jejum nos diferentes grupos: eutrófico, sobrepeso, obeso I, II e III; detectaram-se correlações entre os componentes da composição corporal quando comparados aos triglicerídeos e lipoproteínas de alta densidade (p<0,05). Além disso, a análise de curva ROC indicou que o IMM e o IMG podem discriminar os componentes relacionados à SM de maneira semelhante ao IMC. Conclui-se, que tanto os componentes usuais e não usuais da composição corporal podem detectar riscos associados ao sobrepeso e obesidade das mulheres analisadas nessa pesquisa. Palavras-chave: Obesidade. Síndrome metabólica. Composição corporal. Mulher.
AUTOMATIC VOCAL TRACT SEGMENTATION BASED ON CONDITIONAL GENERATIVE ADVERSARIAL NEURAL NETWORK

Speech production is characterized by high articulatory variability bothin the space and the time domains. MRI in the last decades and realtime MRImore recently have proved to be particularly adapted to study the speech articulations. The data generated require however a high amount of processing but thequantity generated exclude manual processing and call for automatic segmentationmethods. Nowadays, deep learning shows very promising results in many aspectsof image processing problems including segmentation. In this paper, the segmen-tation of the jaw, the tongue and the vocal tract are explored based on a modifiedversion of the pix2pix algorithm, taking advantage of the conditional generativeadversarial networks. The experimental results are evaluated via a leave-one-outcross-validation scheme on midsagittal static MRI images of 10 subjects sustaining 62 different articulations. Both qualitative and quantitative assessments of theproposed method show promising and reliable performance and open the way forpossible future works in speech articulatory modelling.
Using online narratives to explore participant experiences in a residential environmental education program

Field-based, residential environmental education programs are immersive, science-rich learning experiences that aim to achieve educational, personal growth, and behavioral outcomes. Evaluations of such programs typically use pre- and post-surveys or interviews and, in some cases, participant observation. Understanding how participants respond to, and make meaning of, their experiences in the moment is an understudied facet that could improve program outcomes; thus, this study explored participant narratives of their experience through online journaling, or ‘blogging'. We piloted the blogging activity with students during their participation in a four-to-five-day program and conducted follow-up retrospective evaluation upon students' return to the classroom. Our findings demonstrate that connection to place, personal growth, and identity were critical aspects of the participant experience; these aspects may be conditioned by participants' previous nature experiences, as well as access to nature. We reflect on the utility of blogging in assessing intermediary and ultimate programmatic outcomes.
A Technique for Assaying the Kinetics of Norepinephrine Metabolism in the Central Nervous System in Vivo

&NA; An in‐vivo technique has been developed for assaying the kinetics of norepinephrine (NE) metabolism in the central nervous system. H3 NE is injected into the cisterna magna of dogs, concomitant with an intravenous infusion of C14 NE. Urine is collected every hour for a period of 12 hr. and levels of H3, C14 NE, and various metabolites determined. By a series of mathematical steps, based upon the solutions of kinetic models, functions are obtained from which estimates are made, for any time, of the amount of H3 metabolite in urine which is due to degradation of H3 NE within the central nervous system per se. The experimental results obtained with a series of dogs agree well with data obtained by more direct means.
study sites including seven heterocystous forms : Anabaena , Nostoc , Calothrix , Cylindrospermum , Microchaete , Hapalosiphon and Westiellopsis and three non-heterocystous forms : Oscillatoria , Phormidium and Lyngbya

Cyanobacteria (blue green algae) are present abundantly in rice fields and are important in maintaining the rice field fertility through nitrogen fixation. An investigation on cyanobacteria (blue green algae) from the rice fields of Son beel and its nearby adjoining areas of Karimganj district, Southern Assam, India was carried out. A total of thirty four strains of filamentous cyanobacteria were isolated and classified according to their morphological characteristics. The cyanobacterial isolates were classified into ten genera, including seven heterocystous and three non heterocystous genera. The genera Nostoc, Calothrix, Anabaena and Cylindrospermum were the dominant heterocystous group while Lyngbya, Oscillatoria and Phormidium form the nonheterocystous group in the district.
Cortical GABAergic regulation of dopaminergic responses to psychological stress in the rat dorsolateral striatum

The present study was undertaken to examine the possible involvement of cortical γ‐aminobutyric acid (GABA) neuronal mechanisms in the regional differences of dopamine (DA) response to psychological stress: contextual fear conditioning (CFC) in the rat prefrontal cortex (PFC) and dorsolateral striatum (DLS). Rats that received five footshocks (shock intensity, 0.5 mA; shock duration, 2 sec) were subjected to CFC and dynamic changes in DA and GABA in both PFC and DLS were examined using dual‐probe microdialysis. Extracellular levels of DA in the PFC were enhanced during exposure to CFC, whereas the levels in the DLS were not affected by this stimulus. Extracellular levels of GABA in the PFC, but not in the DLS, were markedly enhanced by CFC. Freezing behavior observed during exposure to CFC was attenuated by the GABAA receptor antagonist bicuculline (10–3 M), which was perfused into the PFC. Intracortical application of bicuculline (10–3 M) furthermore caused sustained increases in DA levels in the DLS by CFC. These data suggest that cortical GABAA receptors contribute to modulation of DA release in the DLS in response to CFC. Thus, the GABAergic neuronal system in the PFC appears to play a key role in the regional differences of the DAergic response to psychological stress. Synapse 56:117–121, 2005. © 2005 Wiley‐Liss, Inc.
An Iteratively Reweighted Least Square Implementation for Face Recognition

We propose, as an alternative to current face recognition paradigms, an algorithm using reweighted l2 minimization, whose recognition rates are not only comparable to the random projection using l1 minimization compressive sensing method of Yang et al [5], but also robust to occlusion. Through numerical experiments, reweighted l2 mirrors the l1 solution [1] even with occlusion. Moreover, we present a theoretical analysis on the convergence of the proposed l2 approach.
Opportunities and Risks of Blockchain Technologies (Dagstuhl Seminar 17132)

This report documents the program and the outcomes of Dagstuhl Seminar 17132 "Opportunities and Risks of Blockchain Technologies". Blockchain-based applications such as Bitcoin or Ethereum are emerging technologies, but a dramatic increase in industrial and academic interest in the technology is evident. Start-­ups and large financial players are working intensely on blockchain-based applications, making this one of the most promising drivers of financial innovation. However, the design and implementation of blockchain-based systems requires deep technical know-how in various areas, as well as consideration of economic and societal issues. These opportunities and challenges provided the starting point for the Dagstuhl Seminar where we analyzed and synthesized the current body of knowledge on the emerging landscape of blockchain technologies. We linked cryptographic economic systems to already established research streams around trust-related issues in payment systems and digital currencies, and digital asset management.
N 91-20669 ' al A perception and manipulation system for collecting rock samples 1

An important goal of a planetary exploration mission is to collect and analyze surface samples. As part of the CMU Ambler project, we are investigating techniques for collecting samples using a robot arm and a range sensor. The aim of this work is to make the sample collection operation fully autonomous. We describe in this paper the components of the experimental system that we have developed, including a perception module that extracts objects of interest from range images and produces models of their shapes, and a manipulation module that enables the system to pick up the objects identified by the perception module. We have tested the system on a small testbed using natural terrain.
Cervical vertebral kinematics and neck muscle responses during an inverted free fall simulating a vehicle rollover : pilot data from an in vivo human subject experiment

Vehicle rollovers account for 3% of motor vehicle crashes yet cause one-third of all crashrelated fatalities. Despite advanced cervical spine injury models, a discrepancy exists between clinically reported injuries and cadaver test pathologies. One possible explanation for this discrepancy is that the intervertebral posture and simulated muscle tone used in cadaver models (and some computer models) typically mimic an upright and relaxed condition that may not exist during a rollover. The aim of this study was to characterize vertebral alignment and neck muscle responses in the cervical spine by studying a human subject in a simulated impending head-first impact, in an upside-down configuration. A custom inversion device was built to expose human subjects to a 312 ms inverted free-fall. An onboard fluoroscopic c-arm captured cervical vertebral motion while indwelling electromyography (EMG) captured the response of 8 superficial and deep neck muscles. The subject showed consistent muscular responses in 4 repetitions of the free-fall exposure. Moreover, the muscle response pattern was different from the scheme used in existing cervical spine injury models, and observed in previous quasi-static tests conducted in our lab. The general trends in muscle-induced changes to vertebral alignment were consistent with our previous work. C3-C6 translated anteriorly and inferiorly in response to the inverted free-fall stimulus, and the head moved into flexion. These observations suggest that, at the time of impact, the in vivo state of the neck may differ considerably from its initial alignment prior to the forewarned impact. The in vivo data set acquired from this experiment of vertebral and muscular responses could be used to improve and validate current injury models and advance injury prevention strategies in rollover crashes.
Evaluating Visitor’s Preferences of Ecotourism and Management Attributes in Kubah National Park: A Choice Experiment Approach

The growing numbers of national parks worldwide have somehow attracted the interests of nations around the world as it is now one of the important income generator for the tourism industry of a particular country. Since its inauguration, the concept of national parks has developed and expanded based on the important attributes of its environmental resources, albeit it is frequently affiliated to the possibilities of conservation and preservation of the biodiversity and its environment. The central motivation for this study is to estimate visitor’s preferences for improvement in ecotourism and management in Kubah National Park (KNP) by utilizing the economic valuation tools, specifically the choice experiment (CE) model. Accordingly, the focus of this study is limited to the valuation of ecotourism and management attributes of KNP, Sarawak, Malaysia. Choice experiment of the stated preference approach was utilized and five attributes of ecotourism and management attributes were identified, namely; (i) amenities (AMT), (ii) information availability (INFO), (iii) interpretive trails availability (ITA), (iv) park guide availability (PG) and (v) entrance fee charges (MPRICE). Information and statistics were gathered using questionnaires from face-to face interviews. Conditional logit (CLGT) model analyses involving a sample of 303 respondents was carried out.
Simulation Research of STATCOM Reactive Power Compensation Based on Hysteresis Comparison Control

This paper gives a brief introduction to the background, current situation and development trend of STATCOM. The control strategy of STATCOM is summarized, the strategy and method of hysteresis comparison control are analyzed, and the selection of parameters in STATCOM is provided. In this paper, a hysteresis comparative control method which can quickly respond to the variation of reactive current is used to simulate the reactive power compensation. The simulation model of STATCOM circuit is established by using MATLAB. The results are analyzed in detail and the conclusion is drawn. The phase of voltage and current waveform is basically consistent after STATCOM reactive power compensation. The simulation results show that the compensation method is feasible and effective.