Miracle-dz/UniFAR-FTUs huggingface dataset:
Compensator Design to Improve Transient Performance Using Root Locus

II DESIGN PROCEDURE 2 II-A Compensator Structure . 2 II-B Outline of the Procedure . 3 II-C System Type N . 4 II-D Selecting a Dominant Closed-Loop Pole Location . 4 II-E Determining the Compensator’s Parameters . 6 II-E.1 Plant Phase Shift at s1 . 6 II-E.2 Compensator Phase Shift at s1 . 7 II-E.3 Placing the Compensator Zero . 8 II-E.4 Placing the Compensator Pole . 9 II-E.5 Determining the Compensator Gain . 10 II-E.6 Compensator Phase Shift Revisited . 11 II-E.7 Simultaneous Placement of Compensator Pole and Zero . 13 II-E.8 Multi-Stage Compensation . 13
A Case Study of Chemical Organization Theory Applied to Virus Dynamics

Chemical organization theory has been proposed to provide a new perspective to study complex dynamical reaction networks. It decomposes a reaction network into overlapping sub-networks called organizations. In order to evaluate the usefulness of this approach we apply the theory to a model by Wodarz and Nowak (Proc. Natl. Acad. Sci. USA, 96(25):14464–9, 1999) describing the interaction of a virus (HIV) with immune system cells. We found three organizations, one above the other, which imply two treatment strategies: One that tries to move the system into the smallest organization containing no virus, and a second one, which is actually used in practice, moving the system into the largest organization, which contains the virus in addition to an immune response controlling the virus.
ATTAINMENT EVIDENCE FROM OECD COUNTRIES . 1 ( PRELIMINARY VERSION )

Studies that empirically analyze the effects of education decentralization have focused on the analysis of the effects on educational outcomes. This study goes deeply into this question, by analyzing the effects of decentralization on teachers’ quality and to which extent these effects explain decentralization effects on educational attainment. A cross-national database for 33 OECD countries is used in the analysis, with information for 10.872 schools and 294.155 students. The results show that the effects of decentralization on teacher quality are statistically and quantitatively significant. In addition, the indirect effects through teacher quality account for a significant part of the effect of decentralization on educational attainment, which range from a 7 to a 17 percent depending on the subject. JEL codes: H11, H52, H75, H77, I28.
FAD: Fairness through Adversarial Discrimination

Data + Features • ML models mirror biases in data: model predicts ŷ based on features x, containing protected feature z • Goal: augment models to induce fair predictions • Numerous definitions of fairness: • Demographic parity: ŷ and z independent • Equality of opportunity: ŷ and z conditionally independent given y = 1 • Equality of odds: ŷ and z conditionally independent given y • Incongruent: one model can never satisfy all 3 definitions • Adversarial network to encode fairness into model:
Introduction In many medical settings , making observations is costly

Deciding what and when to observe is critical when making observations is costly. In a medical setting where observations can be made sequentially, making these observations (or not) should be an active choice. We refer to this as the active sensing problem. In this paper, we propose a novel deep learning framework, which we call ASAC (Active Sensing using Actor-Critic models) to address this problem. ASAC consists of two networks: a selector network and a predictor network. The selector network uses previously selected observations to determine what should be observed in the future. The predictor network uses the observations selected by the selector network to predict a label, providing feedback to the selector network (well-selected variables should be predictive of the label). The goal of the selector network is then to select variables that balance the cost of observing the selected variables with their predictive power; we wish to preserve the conditional label distribution. During training, we use the actor-critic models to allow the loss of the selector to be “back-propagated” through the sampling process. The selector network “acts” by selecting future observations to make. The predictor network acts as a “critic” by feeding predictive errors for the selected variables back to the selector network. In our experiments, we show that ASAC significantly outperforms state-of-the-arts in two real-world medical datasets.
Australasian ( ACIS ) December 2004 Exploring the Antecedents of B 2 B e-Marketplace Success : A Perspective from a Global Mining Company

This paper presents the results of a preliminary study into the antecedents for B2B e-marketplace success. A confirmed model of e-business transformation was used to examine the participation of a large global buyer organisation and develop detailed case study analyses. The study confirmed the validity of the e-business change model but further identified those factors which were fundamental to successful B2B e-marketplace implementation. This provided the basis to understand the specific dependencies within the model and the performance indicators for success.
Iterative Decoding for High-Density Bit-Patterned Media Recording

Bit-patterned media recording (BPMR) is one of the promising techniques to be used to achieve the areal density beyond the super-paramagnetic limit. Nonetheless, the BPMR system is normally encountered both inter-symbol interference and inter-track interference, especially at high recording densities. This problem is regarded as one of the most challenging issues in the BPMR system. In this paper, we design a two-dimensional (2D) cross-track symmetric target and its corresponding equalizer to combat both interferences. Furthermore, we also utilize an iterative scheme, which iteratively exchanges soft information between a 2D SOVA detector and an LDPC decoder, to decode an input data sequence. Results indicate that the proposed method performs better than other methods, especially when the recording density is high. © 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of I-SEEC2011
Roles of RCN 1 , Regulatory A Subunit of Protein Phosphatase 2 A , in Methyl Jasmonate Signaling and Signal Crosstalk between Methyl Jasmonate and Abscisic Acid

Methyl jasmonate (MeJA) as well as abscisic acid (ABA) induces stomatal closure with their signal crosstalk. We investigated the function of a regulatory A subunit of protein phosphatase 2A, RCN1, in MeJA signaling. Both MeJA and ABA failed to induce stomatal closure in Arabidopsis rcn1 knockout mutants unlike in wild-type plants. Neither MeJA nor ABA induced reactive oxygen species (ROS) production and suppressed inward-rectifying potassium channel activities in rcn1 mutants but not in wildtype plants. These results suggest that RCN1 functions upstream of ROS production and downstream of the branch point of MeJA signaling and ABA signaling in Arabidopsis guard cells.
Inverse Reinforcement Learning Under Occlusion

Inverse reinforcement learning (IRL) is the problem of learning the preferences of an agent from observing its behavior on a task. While this problem is witnessing sustained attention, the related problem of online IRL – where the observations are incrementally accrued, yet the real-time demands of the application often prohibit a full rerun of an IRL method – has received much less attention. We introduce a formal framework for online IRL, called incremental IRL (I2RL), and a new method that advances maximum entropy IRL with hidden variables, to this setting. Our formal analysis shows that the new method has a monotonically improving performance with more demonstration data, as well as probabilistically bounded error, both under full and partial observability. Experiments in a simulated robotic application, which involves learning under occlusion, show the significantly improved performance of online IRL as compared to both batch IRL and an online imitation learning method.
UCRL-PROC-215517 Flow Through PCR Module of BioBriefcase

The BioBriefcase is an integrated briefcase-sized aerosol collection and analysis system for autonomous monitoring of the environment, which is currently being jointly developed by Lawrence Livermore and Sandia National Laboratories. This poster presents results from the polymerase chain reaction (PCR) module of the system. The DNA must be purified after exiting the aerosol collector to prevent inhibition of the enzymatic reaction. Traditional solid-phase extraction results in a large loss of sample. In this flow-through system, we perform sample purification, concentration and amplification in one reactor, which minimizes the loss of material. The sample from the aerosol collector is mixed with a denaturation solution prior to flowing through a capillary packed with silica beads. The DNA adheres to the silica beads allowing the environmental contaminants to be flushed to waste while effectively concentrating the DNA on the silica matrix. The adhered DNA is amplified while on the surface of the silica beads, resulting in a lower limit of detection than an equivalent eluted sample. Thus, this system is beneficial since more DNA is available for amplification, less reagents are utilized, and contamination risks are reduced.
Intellectual capital and performance Taxonomy of components and multi-dimensional analysis axes

Purpose – The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the relationship between IC and performance and considering multi-dimensional analysis axes (MAAs): organisational, regional and national. Design/methodology/approach – A systematic literature review (SLR) is presented focussing on empirical studies on IC published in the period 1960-2016. A protocol for action is defined and a research question is raised, gathering data from the databases of: Web of Science, Scopus and Google Scholar. A social network analysis is also provided to determine the type of networks embracing groups, IC individual components and performance type. Findings – Of the 777 papers included in the SLR, 189 deal with the relationship between IC and performance. The paper highlights the greater development of empirical studies starting from 2004; the organisational MAA is the most studied. The most frequently used groups of components in studies dealing with IC’s influence on performance corresponds to a triad of human capital; structural (organisational or process) capital; and relational (social or customer) capital, which determine positively the performance of organisations/regions/countries, but their influence is not linear and depends on various factors associated with the context and surrounding environment. Practical implications – This study has wide-ranging implications for politicians/governments, managers and academics, providing empirical evidence about the relationships between the components of IC and performance, by MAAs, and a global vision and better understanding of how those IC components have developed and how they are related to performance. Originality/value – Due to the high number of references covering a wide range of disciplines and the various dimensions (e.g. organisational, regional and national) that form IC, it becomes fundamental to carry out an SRL and systematise its MAAs to deepen knowledge about what has been discovered/developed in this domain, in terms of empirical studies, in order to situate the topic in a wider theoretical-practical context. The paper is exceptionally wide-ranging, covering the period 1960-2016. It is one of the first clarifying studies on systemisation of the literature on IC, by MAA, and an in-depth study of IC’s impact on the performance of organisations/regions and countries which may serve as a guideline for future studies using the taxonomy proposed.
INFORMATION AND COMMUNICATION TECHNOLOGIES AS THE BASIS FOR THE IMPROVEMENT OF COMPANIES ' PERFORMANCE IN SERBIA 1

The possibilities of using information and communication technologies for business improvement are numerous, but many studies show that there are significant problems in identifying the real impact of ICT investments and companies’ performance. The first large problem arises in the field of definition of ICT in each company and the other one is connected with the link between the specific investment and selected performance measure. There is no standard measurement system and the results of individual studies are not comparable. The aim of this work is to explore this matter in Serbia. In this research we used the case study method, which was conducted in seven companies of different sizes and structures in the field of telecommunications, education, manufacture, accommodation and food service, financial and insurance activities and retail trade. Each of the representatives, mostly top management, gave answers about ICT assets and investments in their companies. The results of our research suggest that most of the companies in Serbia consider ICT assets and ICT investment as duty imposed by the business environment. The management of selected companies do not see obligation to treat the ICT investments as “regular investments” like building new facilities, purchase new machinery or expanding array of services. There is a strong possibility that Serbian companies overestimate or underestimate the value of investments in ICT because they do not use appropriate mechanism to control investments. Also, it is likely that investments do not lead to required results, because there is no control mechanism 1 This paper is a part of research projects: 179015 (Challenges and prospects of structural changes in Serbia: Strategic directions for economic development and harmonization with EU requirements) and 47009 (European integrations and social and economic changes in Serbian economy on the way to the EU), financed by the Ministry of Education, Science and Technological Development of the Republic of Serbia. 2 Aleksandra Bradić-Martinović, PhD, Research associate, Institute of Economic Sciences, Belgrade, Serbia. 3 Aleksandar Zdravković, MA, Research associate, Institute of Economic Sciences, Belgrade, Serbia.
METHOD FOR DEVELOPNG ATISSUE PROTEOME LIBRARY FIELD OF THE INVENTION

Correspondence Address: The present invention relates to the description of an MARSHALL, GERSTEIN & BORUN LLP approach for developing tissue proteome library, which over 233 S. WACKER DRIVE, SUITE 6300, SEARS expresses all the transcripts (mRNAs) present in a given tis TOWER Sue. Transcripts of interest present in a tissue are normally CHICAGO, IL 60606 cloned and overexpressed individually to enable purification of expressed protein and for conducting its structure-function (73) Assignee: COUNCIL OF SCIENTIFIC studies. Methods for identification of noveland low abundant AND INDUSTRIAL transcripts present in tissues are not available, particularly of RESEARCH, New Delhi (IN) specimen tissue samples, oocytes and early embryos, for which tissue availability is also a serious limitation. Expres (21) Appl. No.: 11/652,911 sion of all the transcripts present in a tissue and comparison of the profile of total expressed protein with that of appropriate (22) Filed: Jan. 11, 2007 controls can be used in identification of all and particularly O O novel transcripts present in a tissue. This novel proteome Publication Classification library construction approach enables expression of all the (51) Int. Cl. transcripts present in a tissue just in one go and analysis of all C4OB 40/02 (2006.01) the expressed proteins employing proteomics and/or other C4OB 50/06 (2006.01) Suitable approaches.
I Know What You Felt Last Festival

Festivals are an important leisure activity in the life of human beings. As a matter of fact, the organizers of festivals are interested in offering quality activities that allow them to position themselves in the entertainment market. To achieve this aim, the organizers use surveys to obtain a global opinion of the participants focusing on three key points: motivation, perception, and valuation. This method is tedious to perform and is timeconsuming. In this effort, we present a complete process that enables to automatically obtaining an overall appreciation of a festival from tweets shared by participants. The aim of this contribution is to replace the surveys by the textual analysis of messages posted on social networks. The precision obtained in our experiments highlight the relevance of our proposal. Keywords—Sentiment analysis; machine learning algorithms; festival; survey analysis
Title Amygdala volume and hypothalamic-pituitary-adrenal axisreactivity to social stress

The amygdala plays a central role in emotional processing and has an activating influence on the hypothalamicpituitary-adrenal (HPA) axis. Structural changes in the amygdala have been associated with early adversity and, in principle, may contribute to the later emergence of emotional pathologies by influencing the way that the brain responds to stress provocation. The present study examined the relationship between amygdala volumes and cortisol secretion in response to a social stressor among young adults who were or were not exposed to maternal postnatal depression (PND) early in development (referred to as PND offspring and controls, respectively). Hierarchical Linear Modelling (HLM) revealed that, on a sample-wide level, there was no evidence of a relationship between total amygdala volume, or the volume of the right or left hemisphere amygdala taken separately, and cortisol reactivity. Unexpectedly, for PND offspring, larger right hemisphere amygdala volume was associated with lower cortisol reactivity in response to stress, an effect that was not apparent in control offspring. We conclude that the relationship between amygdala volumes and stress reactivity may not be as clear as previous models suggested.
Cache Miss Rate Predictability via Neural Networks

A program run, in the setting of computer architecture and compilers, can be characterized in part by its memory access patterns. We approach the problem of analyzing these patterns using machine learning. We characterize memory accesses using a sequence of cache miss rates, and present a new data set for this task. The data set draws from programs run on various Java virtual machines, and C and Fortran compilers. We work towards answering the scientific question: How predictable is a program’s cache miss rate from interval to interval as it executes? We report the results of three distinct ANN models, which have been shown to be effective in sequence modeling. We show that programs can be differentiated in terms of the predictability of their cache miss rates.
AN INTEGRATE D BILATERAL AND UNSHARP MASKING FILTER FOR IMAGE CONTRAST ENHANCEMENT

Noise reduction and contrast enhancement are the two funda­ mental procedures in most image processing applications. Their effectiveness often play crucial roles in the success of subsequent image operations such as feature segmentation or object recog­ nition. In order to obtain high quality images, the bilateral filer (BF) and the unsharp masking filter (UMF) have often been used as attractive candidates for their proven performances in noise re­ moval and contrast enhancement. The BF is able to remove noises while preserving edge sharpness. On the other hand, the UMF is capable of increasing image contrast. Since the BF is not designed for contrast enhancement and the UMF is not developed for noise reduction, their strengths may not be fully utilized for image qual­ ity improvement. In this work, the two filters are integrated in a pipelined process such that the resultant image noise is reduced while the contrast is increased. Experimental results on public­ domain and real-life test images demonstrate the effectiveness of the proposed approach.
SVMOneClAS : Pipeline for Efficient Splicing Events Calling

Splicing is a part of mRNA maturation process when exons of pre-mRNA transcript are joined in multiple ways. In case of alternative splicing, some exons may be excluded from the final mRNA, and the resulting ensemble of mRNAs creates different protein isoforms, allowing multiple proteins to be coded by a single gene. To detect new events of alternative splicing in human blood cells, we used RNAseq technology. A pipeline based on Python “Scikit-Learn” library was developed for efficient splicing events calling. We found 8728 potential candidates, 20 of which were selected for RT-PCR and 8 were finally confirmed as novel events in 7 genes (MPPE1, CTDP1, ENOSF1, SEH1L, TXNL4A, C18orf1, and ME2). SVMOneClAS are freely available from the https://github.com/alsokolov-dev/SVMOneClAS
OF HOROZLUHAN CARAVANSARY ON HISTORICAL SILK ROAD BELONG TO SELJUK PERIOD , IN TURKEY

Laser scanning systems have been widely adopted for the acquisition of dense and accurate point data over aerial and close range measurements. Laser scanner point clouds can be satisfies the need of several applications. Terrestrial laser scanning is especially become standard method for close range 3D measurement and modelling. It is extensively used to cultural heritage documentation. In this study, historical Horozluhan Caravansary which was built on historical silk road was scanned by terrestrial laser scanner and its 3D model was prepared
Shear and flexural deflection equations for OSB floor decking under point load

With the ready availability of most of the mechanical properties of structural-grade OSB, their use in the assessment of the adequacy of OSB floor decking by calculation will include the determination of the deflection. However, shear and flexural deflection equations for orthotropic floor panel in terms of the bending and shear properties are scarce. The finite element method has enabled a parametric study of the peak shear and flexural deflections of rectangular plate models of joisted OSB floor decking. The study has considered the effects of decking continuity, orthotropy in bending, planar and panel shear stiffnesses and Poisson's ratio. Shear and flexural deflection equations of acceptable accuracy have been fitted to the deflections obtained from the finite element method. Case studies have also shown good agreement between the deflections obtained from the equations and finite element method. These equations are recommended for preliminary and detail designs.
Managing the evidence : the context and processes of information use by clinical nurse specialists

Information need and use literature relating to nurses has tended to treat them as a homogeneous group without distinguishing their role or contribution to service delivery. Clinical Nurse Specialists (CNSs) operate across the whole range of nursing specialisms and their role includes advanced clinical care, education, research, consultation and facilitation of change. They are relatively autonomous in their practice and are able to exert considerable influence on nursing activities. The purpose of this research is to examine the advanced practice role, the social and organisational frameworks within which CNSs operate and the inter-relationship of these with information use. [Continues. ]
Elder image, self-efficacy and burden among family caregivers caring for elders with chronic disease

Purpose: The principal objective of this study was to identify correlations among elder image, self-efficacy and burden among family caregivers caring for elders with chronic disease. Methods: A total of 187 primary family caregivers caring for frail elders over 65 years of age participated in this study. The data were collected using the Elder Image Scale (EIS), the Self-Efficacy Scale (SES), and the Burden Scale (BS). Correlational analysis was utilized to determine the relationship between EIS, SES, and BS. Results: EIS scores and SES scores were correlated at r=-. 188(p=.010), indicating a significant negative relationship between elder image and self-efficacy. SES scores were negatively correlated with the BS scores (r=-.328, p=.000). EIS scores were correlated significantly with BS scores (r=.298, p=.000). Conclusion: These findings support the assertion that perceptions of elders and belief about caregivers themselves are associated with burden.