Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Analysis of Narrative Content for Digital Humanities

We present a methodology for large scale quantitative narrative analysis (QNA) of text data, which includes various recent ideas from text mining and pattern analysis in order to solve a problem arising in digital humanities and social sciences. The key idea is to automatically transform the corpus into a network, by extracting the key actors and objects of the narration, linking them to form a network, and then analyzing this network to extract information about those actors. These actors can be characterized by: studying their position in the overall network of actors and actions; generating scatter plots describing the subject/object bias of each actor; and investigating the types of actions each actor is most associated with. The software pipeline is demonstrated on text obtained from three story books from the Gutenberg Project. Our analysis reveals that our approach correctly identifies the most central actors in a given narrative. We also find that the hero of a narrative always has the highest degree in a network. They are most often the subjects of actions, but not the ones with the highest subject bias score. Our methodology is very scalable, and addresses specific research needs that are currently very labour intensive in social sciences and digital humanities.
Sensemaking and information management in humanitarian disaster response: Observations from the TRIPLEX exercise

The United Nations Disaster Assessment and Coordination (UNDAC) system is designed to assist the United Nations in providing information during the first phase of a sudden-onset emergency and in the coordination of incoming international relief at the site of the emergency. In the immediate aftermath of such an emergency, the UNDAC team will set up an On-Site Operations Coordination Centre (OSOCC) from where the operational activities of the humanitarian organizations responding to the emergency are coordinated. Information management is a key aspect in this phase as the information gathering, processing, and disseminating activities will determine the timeliness and appropriateness of the response by the international humanitarian community. Through participatory observation in the international humanitarian “TRIPLEX” exercise we explore how information managers in the OSOCC make sense of the disaster, how the immediate needs are assessed, and discuss how information systems could improve Sensemaking in these activities.
- 0301 Novel AC Side P & O Maximum Power transfer control for Grid Connected Photovoltaic Systems

Grid connected Photovoltaic inverters can convert PV energy into electricity with very high efficiencies. Power from the PV panels fluctuates depending on various weather conditions. PV inverters usually include a maximum power point tracker (MPPT) to track this varying power, in order to transfer all the available power to the grid efficiently. Control of power transferred to the grid along with the MPPT plays a crucial role in determining the efficiency of a PV system. This paper discusses about the basic power transfer theory between sources (PV and Grid) and focuses on the need of a DC-DC boost circuit, along with a DC-AC inverter to transfer maximum power from the PV to the grid. A commonly used approach for transferring the maximum power from the PV to the grid at all times will be briefed and a new approach proposed. Now reference current calculation can work using a MasterSlave principle where the DC-DC converter and the inverter could act as the master or slave and vice versa, after the new proposed approach is introduced. The new approach would not require any DC side measurements for MPP tracking making it a sensor less approach. Comparative conclusion between ease of implementation and effectiveness of the above two approaches are given.
AUTOMATIC GEOREFERENCING OF UAV IMAGE PRODUCTS

This paper implements and evaluates experimentally a procedure for automatic georeferencing of images acquired by UAV’s (Unmanned Aerial Vehicles) for agriculture. The body attitude and position with respect to the navigation frame are supposed to be available, which is a reasonable hypothesis, since they are needed anyway for implementing the UAV autopilot and the guidance system. Since the camera model is necessary for georeferencing, this paper also proposes a completely automatic procedurefor camera calibration, i.e., estimation of camera and lens distortion parameters. Flight data are employed for evaluating the georeferencing performance.
1 Wheelchair rugby athlete demographics and shoulder pain : a pi lot study

Kylee D. Hooper S/OT1; Wendy Koesters, PT, ATP/SMS2; Theresa Berner MOT, OTR/L ATP2; Kevin Stahr, OT3; Carmen P. DiGiovine, PhD, ATP/SMS, RET1 2 4 Occupational Therapy Division, The Ohio State University, Assistive Technology Center, The Ohio State University Wexner Medical Center; Outpatient Rehabilitation, The Ohio State University Wexner Medical Center, Biomedical Engineering Department, The Ohio State University;
1 CONSEQUENCES OF DEHESA LAND USE ON NUTRITIONAL STATUS OF VEGETATION IN CENTRAL-WESTERN SPAIN

A dehesa is a silvoarable system, which results in structure and species simplification of Mediterranean forests. Activities like livestock, forestry, agriculture and, recently, hunting are carried out in these places, in which three main structures are found: trees with native grasses (G), trees with crops (C) and trees with woody understorey (M). In order to find out the effect of dehesa land use on nutritional status, we have measured the nutrient content (N and P) of the vegetation (holm-oak and crop) in three farms located in Central Western Spain, considering in each one the three aforementioned dehesa types. Additionally, the effect of the tree on soil fertility was studied in order to map soil resources around the oak-trees, which will be useful to model the tree-understorey interactions and dehesa functioning. Soil samples (first 20-cm depth) were taken at different distances from the tree (from 2 up to 20 m) in three trees per plot (9 plots: 3 farms x 3 land uses). In all samples, pH, soil organic matter (SOM), cationic exchange capacity (CEC), total N and available P were determined. Foliar nutrient content of holm-oak (N and P) was measured in mature leaves of nine trees per plot. Crop samples were collected at four distances (2, 5, 10 and 15 m) of the trunk of 9 mature trees per plot (only cropped plots). Trees in C plots presented the highest values of leaf-N, which is related to fertiliser application and to organic material incorporation/mineralization. Trees in M plots showed the lowest values of leaf-N, indicating a competitive effect of the matorral. By contrast, highest values of P were found in M plots, indicating a positive interaction between trees and shrubs in P uptake. Differences between C and G plots were not significant. In soils, values of all measured parameters, except pH, diminished according to the distance from the holm-oak, which indicates a marked and positive effect of trees on soil fertility. Regarding the land use, both N and P presented significant differences, being M and C, respectively, which had the highest contents, which does not coincide with the results from leaf nutrient contents. By contrast, N and P values in cereal had a similar behaviour to those of soil, indicating the high dependence of the crop on the nutrients of the first cm of the soil.
A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering

ABSTRACT Short message service(SMS) in a mobile communication environment is a very convenient method. However, it caused a serious side effect of generating spam messages for advertisement. Those who send spam messages distort or deform SMS sentences to avoid the messages being filtered by automatic filtering system. In order to increase the performance of spam filtering system, we need to recover the distorted sentences into normal sentences. This paper proposes a method of normalizing the various types of distorted sentence and extracting keywords through automatic word spacing and compound noun decomposition.Keywords:Spam Message, SMS Filtering, Sentence Normalization, Automatic Word Spacing, Keyword Extraction 스팸 문자 필터링을 위한 변형된 한글 SMS 문장의 정규화 기법 강 승 식 † 요 약 휴대폰에서 문자 메시지 전송 기능은 현대인들에게 매우 편리한 새로운 형태의 의사소통 방식이다. 반면에 문자 메시지 기능을 악용한 광고성 문자들이 너무 많이 쏟아져서 휴대폰 사용자들은 스팸 문자 공해에 시달리는 심각한 부작용을 낳게 되었다. 광고성 문자를 발송하는 사람들은 문자 메시지가 자동으로 차단되는 것을 회피하기 위해 한글 문장을 다양한 형태로 변형하거나 왜곡시키고 있으며, 이러한 문자 메시지를 자동으로 차단하기 위해서는 변형되거나 왜곡된 문장들을 정상적인 한글 문장으로 정규화하는 기술이 필수적이다. 본 논문에서는 변형되거나 왜곡된 광고성 문자 메시지를 정상적인 문장으로 정규화하고 정규화된 문장으로부터 자동 띄어쓰기 및 복합명사 분해 과정을 거쳐 키워드를 추출하기 위한 방법을 제안하였다. 키워드:스팸 문자, SMS 필터링, 문장 정규화, 자동 띄어쓰기, 키워드 추출
How speakers indicate production difficulty through prosody

Alexandros Christodoulou: Thinking Prosody: How speakers indicate production difficulty through prosody (Under the direction of Jennifer E. Arnold) In everyday conversations speakers can experience production difficulty. New referents in the discourse tend to be more difficult to produce compared to old referents (Arnold et al., 2004). Also, unfamiliar referents tend to be more difficult compared to familiar ones (Arnold, Hudson Kam, & Tanenhaus, 2007). Traditionally the effects of production difficulty have been studied through disfluencies (Bortfeld, 2001; Oviatt, 1995; Schachter, et al., 1991; Shriberg, 1996). In this thesis I provide evidence that production difficulty can also lead to prosodic modulation. Moreover, I demonstrate that the prosodic modulation resulting from production difficulty is acoustically similar to acoustic prominence. I therefore explore the relationship between prosodic modulation due to production difficulty and acoustic prominence due to accenting.
An Adaptive Distributed System-Level Diagnosis Algorithm and Its Implementation

An adaptive distributed system-level diagnosis algorithm, called Adaptive DSD, suitable for local area networks, is presented. Adaptive DSD assumes a distributed network in which nodes perform tests of other nodes and determine them to be faulty or fault-free. Test results conform to the PMC model of system-level diagnosis. Tests are issued from each node adaptively and depend on the fault situation of the network. Adaptive DSD is proved correct in that each fault-free node reaches an accurate independent diagnosis of the fault conditions of the remaining nodes. Furthermore, no restriction is placed on the number of faulty nodes. The algorithm can diagnose any fault situation with any number of faulty nodes. Adaptive DSD is shown to be a considerable improvement over previous efforts including being optimal in terms of the total number of tests and messages required. The use of the algorithm in an actual distributed network environment and the experimentation within that environment are described. >
Higher dimensional categories : induction on extensivity 1

In this paper, we explore, enrich, and otherwise mildly generalise a prominent definition of weak n-category by Batanin, as refined by Leinster, to give a definition of weak n-dimensional V-category, with a view to applications in programming semantics. We require V to be locally presentable and to be (infinitarily) extensive, a condition which ensures that coproducts are suitably well-behaved. Our leading example of such a V is the category ω-Cpo, ω-Cpo-enriched bicategories already having been used in denotational semantics. We illuminate the implicit use of recursion in Leinster’s definition, generating the higher dimensions by a process of repeated enrichment. The key fact is that if V is a locally presentable and extensive category, then so are the categories of small V-graphs and small V-categories. Iterating, this produces categories of n-dimensional V-graphs and strict n-dimensional V-categories that are also locally presentable and extensive. We show that the free strict n-dimensional V-category monad on the category of n-dimensional V-graphs is cartesian. This, along with results due to Garner, allows us to follow Batanin and Leinster’s approach for defining weak n-categories. In the case that V = Set, the resulting definition of weak n-dimensional V-category agrees with Leinster’s definition.
Strong Implementation of Social Choice Functions in Dominant Strategies

We consider the classical mechanism design problem of strongly implementing social choice functions in a setting where monetary transfers are allowed. In contrast to weak implementation, where only one equilibrium of a mechanism needs to yield the desired outcomes given by the social choice function, strong implementation (also known as full implementation) means that a mechanism is sought in which all equilibria yield the desired outcomes. For strong implementation, one cannot restrict attention to incentive compatible direct revelation mechanisms via the Revelation Principle, so the question whether a given social choice function is strongly implementable cannot be answered as easily as for weak implementation. When considering Bayes Nash equilibria, the Augmented Revelation Principle states that it suffices to consider mechanisms in which the set of types of each agent is a subset of the set of her possible bids. Moreover, given some additional data, such a mechanism can be constructed by an iterative procedure via selective elimination of undesired equilibria in finitely (but possible exponentially) many steps. For dominant strategies as the equilibrium concept, however, no such results have been known so far. We close this gap by showing a variant of the Augmented Revelation Principle for dominant strategies and a selective elimination procedure for constructing the desired mechanisms in polynomially many steps. Using these results, we then show that strong implementability in dominant strategies can be decided in nondeterministic polynomial time. This complements the results obtained in the companion paper by Thielen and Westphal [7], where an efficient polynomial time algorithm for the problem is given when one restricts to strong implementation by incentive compatible direct revelation mechanisms.
High-linearity continuous-time filter in 5-V VLSI CMOS

High-linearity self-tuning continuous-time filters, fabricated in a standard 1.6- mu m 5-V CMOS process, are presented. Frequency control is achieved using switchable arrays of highly linear double-polysilicon capacitors in an active RC filter structure, resulting in tunable filters with very low signal distortion. One filter, a Tow-Thomas biquad, exhibits dynamic range and signal linearity of typically 91 dB. Another smaller implementation, a Sallen and Key filter, attains >or=76 dB. Cutoff frequency response is maintained to an accuracy of around +or-5%. >
Undergraduate physiotherapy students’ performance in theoretical and practical examinations: A correlational case study in the UAE

The study aimed at finding the correlation between the theoretical and the practical examinations marks of first year physiotherapy students and explore the possible contributory factors for any differences in exam performances. Mixed approach was used and correlation was analysed using Microsoft excel 2013 and interviews were employed to explore the factors associated with good or poor performances in the written and objective structured clinical examinations. There were no significant differences in the scores of theory and practical exams for the whole participants as the means of the former (40.05) and later (40.03) were nearly equal and the r value (0.672) indicated moderate positive correlation but individual differences in performances between the written and objective structured clinical examination noticed. Students and lecturers were interviewed and the qualitative data analysis identified factors associated with assessment methods, instructional strategies and learning styles were contributing for good and poor performances in the theoretical and practical examinations.
Open system real time architecture and software design for robot control

Robotics equipment used in research studies or industrial prototyping often require reconfiguration of some hardware/software architectures and algorithms for new experiments and trials. Such requirements highlight the interest in new "open" control system architectures, interacting with suitable applications for software development in order to reduce and simplify the project cycle. This paper shows an application based on one of these systems, the OpenDSP, which allows an easy reconfiguration of a DSP-based hardware for different applications. An interesting feature of the developed system is given by its full integration with the Matlab environment. OpenDSP is developed by the Mechatronics Laboratory of Politecnico di Torino, Italy.
A mathematical model for the steady state throughput of the Westwood TCP congestion control algorithm

The success of the Internet has been in large part due to the end-to-end design principle of the TCP/IP. Moreover, it is widely recognized that the additive increase multiplicative decrease paradigm (AIMD), implemented by the standard Reno TCP algorithm, is at the core of the Internet stability. Westwood TCP introduces the Additive Increase Adaptive Decrease (AIAD) paradigm for the Internet congestion control. This paper proposes a mathematical model for the steady state Westwood TCP throughput. The model aims at evaluating Westwood TCP stability, fairness and friendliness to Reno TCP. Moreover, simulation results are reported to confirm the theoretical analysis.
Determinants of Intentions toward Smoking Hookah in Iranian Adolescents Based on the Theory of Planned Behavior

Background: Smoking hookah is considered a health problem among the adolescents, which currently has a high prevalence. The present study aimed to determine the reasons for tendency toward smoking hookah. Methods: Participants of this qualitative study were 24 adolescents from Tehran selected using purposeful sampling method in 2017. Data gathered through individual semi-structured interviews and two focus groups. Using directed content analysis approach 423 primary codes were categorized into 28 subcategories and 9 categories. Results: Most of the participants were 16 to 18 yr old (64%), male (58%) and had high school degree (58%) and 75% of them were student. In Theory of Planned Behavior, attitude toward smoking hookah contained categories of replacement for cigarette, the pleasurableness of hookah, easy access and spending the leisure times. Subjective norms contained the categories of family, friends and society. The construct of behavioral control contained the categories of personal and social factors. Conclusion: Our Results could be helpful in policy-making and planning toward improving the awareness and changing the attitude and performance of the adolescents toward smoking hookah.
EVERYTHING YOU ALWAYS WANTED TO KNOW ABOUT SNAKES (BUT WERE AFRAID TO ASK)

Active contour models – known colloquially as snakes – are energy-minimising curves that deform to fit image features. Snakes lock on to nearby minima in the potential energy generated by processing an image. (This energy is minimised by iterative gradient descent according to forces derived using variational calculus and Euler-Lagrange Theory.) In addition, internal (smoothing) forces produce tension and stiffness that constrain the behaviour of the models; external forces may be specified by a supervising process or a human user. As is characteristic of gradient descent, the energy minimisation process is unfortunately prone to oscillation unless precautions – typically the use of small time steps – are taken. Active contour models provide a unified solution to several image processing problems such as the detection of light and dark lines, edges, and terminations; they can also be used in stereo matching, and for segmenting spatial and temporal image sequences. Snakes have often been used in medical research applications; for example, in reconstructing threedimensional features from planar slices of volume data such as NMR or CT images. In addition, many motion tracking systems use snakes to model moving objects. The main limitations of the models are (i) that they usually only incorporate edge information (ignoring other image characteristics) possibly combined with some prior expectation of shape; and (ii) that they must be initialised close to the feature of interest if they are to avoid being trapped by other local minima.
REGIONAL AND GLOBAL STRATEGIES OF MULTINATIONAL ENTERPRISES by

We are pleased to acknowledge the help of Arie Lewin in stimulating this article. Helpful comments on earlier drafts have been provided by Vern Bachor,Paul Beamish, Peter Buckley, Yves Doz, John Dunning, Michael Enright, Stephane Girod, Robert Grosse, Mike Kotabe, Mitchell Koza, Klaus Meyer, John Mezias, Karl Moore, Mona Sellers and Lorn Sheehan. We also acknowledge the excellent research assistance of Cecilia Brain.
Method of digital signal process aided by control signal for burst-mode coherent receivers

Abstract. We propose a method of digital signal processing for a burst-mode coherent receiver, which can recover the burst data rapidly aided by a control signal. The feasibility and effectiveness of our proposed method are demonstrated in a 128 Gbps polarization division multiplexed quadrature phase shift keying modulation experiment, and the results show that the proposed method can reduce the 70% convergence time on average compared with the traditional digital signal processing without any training overhead or additional computing complexity.
Emerging wireless broadband networks

The rapid evolution of mobile wireless access networks toward multimedia support with QoS provision forces the development of advanced wireless broadband systems with high reliability and high data rate. To achieve this goal, new system design concepts with increased system capacity will be required. In that context, ATM is becoming a major infrastructure, receiving a lot of attention for telecommunication systems since ATM networks can most effectively support wireless access systems. Wireless ATM systems have low transmission cost, flexible functionality, mobile ATM protocol, and radio access layer protocols. This article overviews the various wireless broadband systems studied at 5, 19.37, 40, and 60 GHz by European Union funded projects within the ACTS program. Moreover, related standardization activities and network evolution are also addressed.
ommentary revention , treatment and care of hepatitis C virus infection among eople who inject drugs

People who inject drugs (PWID) represent the core of the hepatitis C virus (HCV) epidemic in many countries. HCV transmission continues among PWID, despite evidence demonstrating that high coverage of combined harm reduction strategies, such as needle syringe programs (NSP) and opioid substitution treatment (OST), can be effective in reducing the risk of HCV transmission. Among infected individuals, HCV-related morbidity and mortality continues to grow and is accompanied by major public health, social and economic burdens. Despite the high prevalence of HCV infection, the proportion of PWID who have been tested, assessed and treated for HCV infection remains unacceptably low, related to systems-, providerand patient-related barriers to care. This is despite compelling data demonstrating that with the appropriate programs, HCV treatment is safe and successful among PWID. The approaching era of interferon-free directly acting antiviral therapy has the potential to provide one of the great advances in clinical medicine. Simple, tolerable and highly effective therapy will likely address many of these barriers, thereby enhancing the numbers of PWID cured of HCV infection. However, the high cost of new HCV therapies will be a barrier to implementation in many settings. This paper highlights that restrictive national drug policy and law enforcement are key drivers of the HCV epidemic among PWID. This paper also calls for enhanced HCV treatment settings built on a foundation of both prevention (e.g. NSP and OST) and improved access to health care for PWID. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND