Miracle-dz/UniFAR-FTUs huggingface dataset:
Blood Donor Deferrals by Expert System.

Blood collection facilities have recently witnessed a substantial increase in the number of different tests used to detect infectious disease in donor populations. These facilities are also experiencing an increasingly stringent regulatory effort on the part of the Food and Drug Administration to determine the validity of the software used to handle this information. This report describes a precedence-based inference program (PRELOG) and a modular expert system used to determine a donor's suitability for continued donations (donor deferrals), and whether the donated unit can be released for transfusion. PRELOG accepts ternary logic input, in which test results are allowed to be positive, negative, or undetermined; and allows one to assign precedence values to the logic rules. These features enable programs to be written in a shorter, more error-resistant manner. A comparison between PRELOG and PROLOG is included, and the utility of this approach in producing and validating blood bank software is discussed.
Nine temperature monitored control system based on single-chip microcomputer

Nine temperature monitored control system taking single-chip microcomputer as the core adopts three sets of change-over circuit which is made up of thermocouple temperature sensor, 4051 multiway analog switch, OP27 operation amplifier, 7135A/D con-verter share one 8253 form temperature acquisition module; Adopt the thermal resistance to compensate temperature; It is through being two-way silicon controlled rectifier last temperature control and adopts RS-485 communication with the upper computer. System three 7135 change circuit change and adopt hardware carry on zero point, enlarge multiple and A/D every link of error corrections make it change fast at the same time, change the characteristic of high precision.
Improved BIC Algorithm for Speaker Segmentation

To detect the voice change of speakers,an improved Bayesian Information Criterion(BIC) algorithm for speaker segmentation is proposed in this paper.The algorithm detects potential acoustic changes using fix-windows BIC algorithm,and validates the potential acoustic changes by two methods.One is the variable-size analysis window BIC algorithm,the other is based on the recursion of segmentation algorithm.Experimental result shows that the algorithm achieves better results,and compared with the BIC algorithm,the precision ratio,recall ratio and F-measure are improved.
Irish Citizens and the Media During the Euro Crisis: An Inter-Arena Approach to Studying the Politicization of the EU

When the euro crisis hit Europe, so did recurring claims of an 'unprecedented' politicization of European integration charcterized by increased attention to the EU in the media and claims of rising euroscepticism among EU citizens. These are characteristic of the media-based analyses that dominate politicization research. This dissertation disputes the generalizability of these claims from the media to lay citizens and to other political arenas. It argues than an approach that differentiates between the various dimensions of politicization (i.e. salience, scope and contestation) and between the various arenas on which it plays out (i.e. institutional, intermediary and citizen) is necessary for an accurate understanding of the character and development of politicization. Through a mixed-methods quantitative-qualitative analysis that applies equivalent indicators longitudinally over parallel time periods, it investigates how the politicization of the EU compares between media debates and citizen discourse. It then maps how it evolved comparatively between them over the duration of the crisis. Politicization in the Irish news media, observed through media content analysis of the Irish Times and the Irish Independent in chapter 4, is then compared with that among Irish citizens, observed through focus group discussions and Eurobarometer surveys in chapter 5. This dissertation finds that contrary to claims of an 'unprecedented' degree of politicization, politicization of the EU in the Irish news media during the crisis can be characterized as a moderately salient, deep, moderately euro-critical polarization that is becoming somewhat wider in scope over time with no consistent trend in either the salience or contestation of EU politics. In contrast, in the citizen arena it was characterized as a week to moderately salient, wide, moderately polarized politicization that is slowly progressing in a wider but not deeper euro-critical direction. It finds that even where the intensity of politicization does not change over time, there can still be significant changes to the character of politicization in any one or more of its three dimensions
Hybrid Multi-Channel Assignment forHeterogonous Wireless Mesh Network

Wireless mesh networks offer many advantages in terms of connectivity and reliability. Traditionally, Wireless mesh networks based on either purely static or dynamic channel allocation approaches in wireless mesh network. However, there are limitations in wireless mesh networks, such as lower through-put and delay in the channel allocation scheme. This paper is focus on the hybrid multichannel multiradio wireless mesh networking architecture, where each mesh node has both static and dynamic interfaces which efficiently utilizes multiple wireless interfaces to achieve better throughput. Adaptive Dynamic Channel Allocation protocol (ADCA), will considers optimization for both throughput and delay in the channel assignment. Our simulation result show that compared to MMAC, ADCA reduces the packet delay considerably without degrading the throughput.
Face super-resolution reconstruction and recognition from low-resolution image sequences

The recognition rate of normal face recognition algorithms drops dramatically when the resolution of face is too low.In this paper,a new hybrid face recognition algorithm is proposed to tackle the problem of face recognition from low resolution image sequences.The proposed approach first constructs a highresolution face image by fully utilizing the sub-pixel information provided in the low-resolution sequences,and then performs Gabor feature based recognition.Experimental results are also provided to demonstrate the effectiveness of the proposed algorithm.
Financing Technological Innovation: Evidence from Patent-Intensive Firms

ABSTRACT Equityholders of firms with high debt loads have an incentive to underinvest, a distortion that can be most costly for firms with attractive growth options. Using a novel patent-based measure of a firm's growth options, we find that firms issue more equity and shy away from debt financing when they have larger investment opportunities sets. The results are more pronounced among firms in patent-intensive industries. The findings suggest the existence of conflicts of interest between debtholders and equityholders. Our results are consistent with the use of conservative debt policies by technology-intensive firms to mitigate the debt overhang associated with their future growth options.
The Strategies of Technology Startups Within and Between Business Ecosystems

Powered by TCPDF (www.tcpdf.org) This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Tukiainen, Taina; Burstrom, Thommie; Lindell, Martin
Droughts and Agriculture in the Semi-Arid Region of Maharashtra, Western India

In the prevailing climate change scenario, to cope with drought, it is necessary to understand the characteristics of meteorological droughts in water-scarce regions to formulate judicial plans for the utilization of water resources. The present investigation, therefore, endeavored to assess the intensity and frequency of droughts over the five semiarid river basins in Maharashtra during the past (1980–2013) and future (2015–50). The study was carried out with the application of standardized precipitation index (SPI) methodology. The agricultural and satellite [normalized difference vegetation index (NDVI)] data were analyzed to understand the effects of meteorological droughts. Although the study area experienced three severe rainfall droughts in 1985/86, 2002/03, and 2011/12, higher frequency of low-intensity droughts is observed, particularly after 2000. The estimation suggests occurrence of moderate, severe, and extreme droughts once in 6, 28, and 50 years, respectively. Among the selected basins, the Agrani, the Karha, and the Man are expected to experience intense droughts and hence require special attention in drought management. The study also highlights that El Niño events considerably retard the monsoon rainfall. However, the occurrence of the positive phase of the Indian Ocean dipole in the El Niño years reduces the intensity of droughts. As agricultural productivity and cropped areas heavily depend on the monsoon rainfall, the meteorological droughts result in agricultural droughts. Moreover, the future warming (by 1.02°C) over the study area is very likely to exacerbate the meteorological droughts (estimated to occur in the 2030s) and increase the agricultural water demand, further adding to an already difficult water management challenge in the study basins.
Simulating Future Urban Expansion in Monastir, Tunisia, as an Input for the Development of Future Risk Scenarios

Under scenarios of urbanization coupled with increasing frequency and intensity of natural hazards, urban disaster risk is set to rise. Simulating future urban expansion can provide relevant information for the development of future exposure scenarios and the identification of targeted risk reduction and adaptation strategies. Here, we present an urban growth simulation for the coastal city of Monastir, Tunisia. The approach integrates local knowledge and a data-driven urban growth model to simulate urban sprawl up to 2030. A business-as-usual projection is used to predict the future growth of the city based on the historical trend. Thirteen Landsat images for the period 1975 to 2017 were used to delineate past changes in urban land cover following the European Urban Atlas standard, which served as the main input for the urban growth model. The simulation revealed that the city’s residential area is likely to grow by 127 ha to an overall size of 1,690 ha by 2030, corresponding to an increase of 8.1% compared to the urban footprint of 2017. The outcomes of the analysis presented here served as an input for the spatial simulation of future exposure to flash floods in the case study area.
THE EFFECT OF INFORMATION QUALITY ON PERCEIVED USEFULNESS AND PERCEIVED EASE OF USE

The purpose of this study aims to empirically test the effect of information quality on perceived usefulness, the effect of information quality on perceived ease of use, and the effect of perceived ease of use on perceived usefulness. This study uses the Technology Acceptance Model (TAM) developed by Davis (1999) to evaluate perceived usefulness and perceived ease of use.The method of data analysis in this research using analysis of Structural Equation Modeling (SEM) - Partial Least Square (PLS) with PLS 3.0. The resultd of this study showed that (1) Quality of information positively affects perceived usefulness, (2) Quality of information positively affects perceived ease of use, and (3) Perceived ease of use positively affects perceived usefulness. The limitations of this study were as follows: (1) The inherent limitations of the data obtained through the questionnaire, due to differences in the authors' perceptions ofthe research respondents, (2) Limitations of the number of accounting student respondents who are following the course of Accounting Introduction Practicum, and (3) Limitations on the selection of accounting software samples used are limited only to the use of the ACCURATE software. Subsequent research suggested that (1) Consider other independent variables that may influence perceived usefulness and perceived ease of use, such as user satisfaction and user intent, and (2) Increase the sample size of respondents in this case not only students who are taking the course Practicum Introduction to Accounting, but also students who have taken the course before
Distributed Real Time Robot Vision in Java

The goal of this thesis was to design and implement a distributed real time vision system in Java and to investigate its performance with the aid of some robot experiments. Controlling a process requires reference- and feedback signals which can be sensed by means of digital cameras. The image data coming from the cameras needs to be collected, processed and transmitted through the network without long time delays. The high-level programming language Java was used for all implementations in order to achieve portability and object orientation. The UDP protocol provides the basis for the communication tool since it allows fast and connectionless data transmission. Computer vision was developed with the aid of Java Advanced Imaging as well as Java Native Interfaces. Based on the linearised and simplified model of the ball-and-plate process, continuous time controllers were designed and simulated using Simulink. A discretised controller was implemented in Java. Various timing tests showed the excellent performance of the developed communication tool. The Java-based image processing turned out to work fast enough with respect to the sampling interval of the digital cameras. The aim of the experiment was to make a ball roll along a predefined trajectory by tilting a plate appropriately. The ball-and-plate process was successfully controlled by a PD controller using an industrial robot as actuator and digital cameras as sensors for the feedback and reference signal.
Urban Extension: Aligning with the Needs of Urban Audiences Through Subject-Matter Centers

The educational program model is the principle approach Extension uses to deliver on its mission of “taking knowledge to the people. ” However, with county-based faculty fully engaged in long-term program delivery, they may have little or no capacity to address emerging issues faced by urban communities. Urban governments often seek the research capacity of a university in addition to, or instead of, the traditional Extension programming model but sometimes turn first to other urban-serving universities. Washington State University Extension has addressed these challenges by establishing subject-matter centers. This article examines how subject-matter centers can add capacity to traditional Extension offices in order to be responsive to emerging local needs, suggesting models that other university Extension programs may use or adapt to their local communities. These models also foster more community engagement and articulate greater public value for the institution as a whole.
A Model-Based Approach to HRA: Qualitative Analysis Methodology

This paper describes a model-based approach to the qualitative portion of Human Reliability Analysis (HRA). The goal of the qualitative analysis approach is twofold: 1) to incorporate salient information from the cognitive psychology literature into the analysis, and 2) to develop models and guidance to support analysis teams as they gather and organize the information needed for the follow-on quantitative portion of the HRA. A focus in the development has been to provide guidance and assistance for HRA analysts with a wide range of skill levels. This is because the growth in risk-informed applications has demanded that analysts who are not experts in cognitive science must use HRA methods to generate inputs to risk-informed decision-making. The qualitative analysis approach is also intended to be generic in the sense that it should be compatible with various quantification methods. Tools have been developed as a part of this approach to qualitative analysis, particularly the Crew Response Tree (CRT) and Fault Trees for causal delineation. The Crew Response Tree provides a structured way to identify, define, and decompose Human Failure Events in the HRA. Together with the CRT, the Fault Trees provide the structure needed to enhance consistency and traceability in the qualitative analysis. The Fault Trees are designed to guide the analyst in identifying the ways in which plant crews can fail. They represent a simplified model of human cognition in the nuclear power plant domain and have been explicitly linked to currently accepted psychological/cognitive models. This set of tools – the CRT and the Fault Trees – provides enhanced traceability of the HRA analysis since documentation is inherent in the tools.
HyLARD: A Hybrid Locality-Aware Request Distribution Policy in Cluster-based Web Servers

The cluster-based web server is cost-effective to be used in a popular web site. To balance the load of servers in a cluster and get better performance, many researches focus on the content-aware request distribution policies that take into account the content of requests in distributing requests from clients to servers. In this paper, we have proposed a content-aware request distribution policy called Hybrid Locality-Aware Request Distribution policy (HyLARD). This policy mainly combines the advantages of the well-known locality-aware request distribution (LARD) policy and LARD with replication (LARD/R) policy, to improve the cache hit rates in servers’ RAM while maximizing the utilization of servers’ RAM. Besides, it also reduces the excessive multiple handoffs on persistent connections and improves load balancing on the server cluster. We have implemented it in the Linux Virtual Server with content-aware dispatching (LVS-CAD) Platform.
CiteSpace II:Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature

This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature.The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization.A specialty is conceptualized and visualized as a timevariant duality between two fundamental concepts in information science:research fronts and intellectual bases.A research front is defined as an emergent and transient grouping of concepts and underlying research issues.The intellectual base of a research front is its citation and co-citation footprint in scientific literature-an evolving network of scientific publications cited by research-front concepts.Wleinberg's(2002) burstdetection algorithm is adapted to identify emergent research-front concepts.Freeman's(1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time.Two complementary visualization views are designed and implemented:cluster views and time-zone views.The contributions of the approach are that①the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms,②the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts,and③visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network.The modeling and visualization process is implemented in CiteSpaceⅡ,a Java application,and applied to the analysis of two research fields:mass extinction(1981～2004) and terrorism(1990~2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts,who are the authors of pivotal-point articles.Practical implications of the work are discussed.A number of challenges and opportunities for future studies are identified.
The experience of transplantation as reflected in dream life: A case study illustrating the mental processing of a lung transplant*

ABSTRACT Although it is well known that a lung transplant enhances the recipient’s quality of life, our knowledge of how it is processed mentally is limited. In this study, interviews were conducted with a lung-transplant patient two weeks, three months, and six months after surgery so as to investigate the relevant unconscious processing mechanisms. A dream reported in the first interview was analysed in accordance withapplying the Zurich Dream Process Coding System. A ‘transplantation complex’ was reconstructed on the basis of various sources of information (the dream and the waking narratives). The principal aspects of the transplantation complex that emerged from both the dream and the waking narratives concerned the oral-sadistic phantasy that the donor had been killed and that his lung, or soul, had been violently incorporated in the patient. The main unconscious themes involved in the processing of the transplant were found to have been already laid down in the dream and to have been presented in it in the form of visual analogues. According to our interpretation of the data analysed, powerful cannibalistic phantasies and death wishes played an important part in the processing of the transplant. These archaic phantasies may have been actualized by the transplant.
Online Appendix: Stock Returns and Real Growth: A Bayesian Nonparametric Approach

The Dirichlet process (DP) is introduced by Ferguson (1973). It is a distribution of probability measures over a base probability measure; a formal definition o f D P is G ∼ DP (η, H). G is a random draw of a distribution based on H and η > 0 as a concentration parameter. A more helpful definition of the DP is introduced by Sethuraman (1994), who actually constructs the G, labeling it a stick-breaking representation. Let θ be the parameter set and δθi denote a probability mass at θi, in which case then the stick-breaking representation of G ∼ DP (η, H) is,
Particle Merging Resampling Based Monte Carlo Localization for Mobile Robot

A merge Monte Carlo localization(Merge-MCL) method for mobile robot based on particle merging resampling is presented.Grid cells and grid sets are established to represent the workspace of mobile robot,and then a particle merging technique based on the particles' spatial similarity is proposed.The technique adapts the number of particles according to the rational distribution of spatial particles.Resampling using the particle merging technique mitigates the weight degeneracy problem of particles and avoids diversity impoverishment caused by the traditional resampling methods.Simulation results illustrate that the particle merging resampling can adapt the number of particles efficiently and the Merge-MCL method is efficient and robust.
Relationship between ICT and international tourism demand: A study of major tourist destinations

In this article, we study the effect of ICT on tourism demand in nine major tourist destinations based on visitor arrivals. Mobile and broadband subscriptions are used to proxy for ICT. Additionally, we account for price, source country’s income, and the destination’s income. Balanced panels for the period 1995–2017 and 2002–2017 are used for mobile and broadband subscriptions, respectively. The pooled mean group approach is used for estimation. The results indicate a 1% increase in mobile subscriptions and broadband would increase international visitor arrivals by 0.04% and 0.11%, respectively. The elasticity coefficients of price and income are −0.71 and 1.58, respectively, based on the mobile subscription model, and −0.88 and 1.83, respectively, based on broadband subscription. The destination’s income has only a short-run positive association with tourism demand. The causality results indicate that ICT cause tourism demand, and support for technology-led growth hypothesis in the major tourist destinations.