Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine translation of domain-specific expressions within ontologies and documents

Nowadays, most of the semantically structured data have labels stored only in English. Although the increasing number of ontologies offers an excellent opportunity to link this knowledge together, non-English users may encounter difficulties when using the resources represented in English only. Therefore, applications in information retrieval or cross-lingual business intelligence, using monolingual resources are limited to the language in which the ontology labels are stored. Because of that, ontologies need to be translated into different languages. Another important reason to translate ontologies is that they may already exist in different languages, but without aligning the ontology labels across languages, we are not able to align, compare or extend them. This dissertation examines the translation of domain-specific expressions represented in semantically structured resources or documents. The main challenge in translating ontologies is to disambiguate an ontology label with respect to the domain, which is defined by the ontology itself. Since the manual translation of ontologies is very time consuming and expensive, this work presents a domain-aware machine translation system to automatically translate the labels. As ontologies may change over time, having in place a machine translation system adaptable to an ontology can, therefore, be very beneficial. Since domain-specific expressions also occur in semantically unstructured resources, i.e. documents, this work also provides insights into translating the terms within their context. Differently to ontology translation, the terms in documents have to be identified and treated as one lexical entity to ensure satisfying translations.
Improved Bit-Plane Complexity Segmentation Algorithm

Statistical analysis based on complexity histogram discontinuities measure is a powerful steganalytic technique for detecting the presence of secret message embedded in the digital images using Bit-Plane Complexity Segmentation(BPCS). Therefore, to improve steganographic security, this paper proposes an improved BPCS algorithm that can effectively resist statistical analysis. Part of blocks are used that can embed hiding information as complexity adjustable blocks to remove two clearly discontinuities which are caused by customary BPCS algorithm, and make sure the discontinuities measure disappear obviously peak value. Experimental results show that the improved algorithm can effectively resist statistical analysis based on the complexity histogram, and can maintain the big capacity characteristic of the originally algorithm.
How Can 575 Comic Books Weigh Under an Ounce?: Comic Book Collecting in the Digital Age

Once a quest that often took years of visits to flea markets, garage sales, used bookstores, and the local comics shop, collecting an entire run of a comic book title may become as easy as downloading a file from the Internet. With the advent of DVD-ROMs published by Graphic Imaging Technology and other companies collecting decades of such titles as The Amazing Spider-Man and The Fantastic Four on a single DVD, comic book collectors and general readers may be more and more tempted to read on screen in the future. This paper explores the possible consequences for the comic book collecting hobby and the comics industry as a subculture traditionally based in print begins to mutate in the digital age. Helping a friend move, I once filled up the back of a pickup truck with comic books. As a result, I, or anyone else who has ever moved a comic book collection, especially a sizable one, can testify to its material presence, particularly its weight. Individually, the typical printed comic book—say an issue of EPUB Print Share+
Occupational stress, paramedic informal coping strategies: a review of the literature

Frontline ambulance staff have high rates of sickness absence; far greater than any other National Health Service worker. Reports suggest that many of these instances are attributable to stress, anxiety and depression. Indeed, studies have observed that occupational stress is significant within the Ambulance Service. While academics frequently associate the causative factor as being related to traumatic incident exposure, there is a small, growing trend of researchers who have found that daily hassles are equally, if not a greater source of stress. Many of the studies investigating the psychological aftermath of a stressful occupational experience focus on formal coping strategies such as critical incident debriefing and trauma risk incident management. However, it has been found that paramedics often prefer to manage stressful feelings informally within their own occupational culture. This literature review explored these informal coping strategies, and found that cognitive mechanisms and peer support we.
Wideband indoor radio system using orthogonal multicarrier modulation

The authors analyze the performance of a multicarrier modulation system with signal transmission during a guard period. They derive the bit error rate (BER) performance of the multicarrier modulation system under time and frequency selective fading environments. The relations between irreducible BER performance and the number of subchannels are shown. Next, they propose a subchannel assignment protocol that provides a variable-bit-rate transmission capability. This protocol provides better packet loss probability and throughput performance than the conventional frequency division multiple access (FDMA) protocol. <<ETX>>
Scaling: Lost in the Smog

In this commentary we discuss the validity of scaling laws and their relevance for understanding urban systems and helping policy makers. We show how the recent controversy about the scaling of CO2 transport-related emissions with population size, where different authors reach contradictory conclusions, is symptomatic of the lack of understanding of the underlying mechanisms. In particular, we highlight different sources of errors, ranging from incorrect estimate of CO2 to problems related with the definition of cities. We argue here that while data are necessary to build of a new science of cities, they are not enough: they have to go hand in hand with a theoretical understanding of the main processes. This effort of building models whose predictions agree with data is the prerequisite for a science of cities. In the meantime, policy advice are, at best, a shot in the dark.
Combining ray-tracing and FDTD to enable the simulation of complex optical devices in an iterative simulation process with reduced simulation effort

The development of photonic multi-scale devices with tailor-made optical properties requires the control and the manipulation of light propagation within structures of different length scales, ranging from sub-wavelength to macroscopic dimensions. Unfortunately, applications of common optical simulation methods are usually restricted to particular size regimes. For this reason, a complete optical simulation of multi-scale devices can only be conducted by combining different simulation methods. In our previous work we already introduced an interface method that uses the Poynting vector to bridge between classical Ray-Tracing and the Finite-Difference-Time-Domain method to enable the simulation of suchlike devices. In this contribution we present and discuss a method to reduce the simulation effort and time consumption of this interface simulation process. This approach is based on an FDTD simulation concept for creating the matrices containing probability density distributions that are needed for the FDTD-RT interface simulations by using broadband frequency sources. With this new FDTD simulation concept, the number of simulations needed to create these matrices can be significantly decreased.
Construction of Composite Feature Vector Based on Discriminant Analysis for Face Recognition

We propose a method to construct composite feature vector based on discriminant analysis for face recognition. For this, we first extract the holistic-and local-features from whole face images and local images, which consist of the discriminant pixels, by using a discriminant feature extraction method. In order to utilize both advantages of holistic-and local-features, we evaluate the amount of the discriminative information in each feature and then construct a composite feature vector with only the features that contain a large amount of discriminative information. The experimental results for the FERET, CMU-PIE and Yale B databases show that the proposed composite feature vector has improvement of face recognition performance
Current concepts in crosslinking thin corneas

Corneal cross-linking (CXL), introduced by Wollensak et al. in 2003, is a minimally invasive procedure to halt the progression of keratoconus. Conventional CXL is recommended in eyes with corneal thickness of at least 400 microns after de-epithelialization to prevent endothelial toxicity. However, most of the keratoconic corneas requiring CXL may not fulfill this preoperative inclusion criterion. Moderate-to-advanced cases are often found to have a pachymetry less than this threshold. There are various modifications to the conventional method to circumvent this issue of CXL thin corneas while avoiding the possible complications. This review is an update on the modifications of conventional CXL for thin corneas.
Tiny ImageNet Visual Recognition Challenge

1. Abstract In this work, we use Convolutional Neural Networks (CNNs) trained on GPUs for classifying images in the tiny ImageNet dataset. Specifically, we are pursuing two different goals. First, we try to train a relatively deep network with a large number of filters per convolutional layer to achieve a high accuracy on the test dataset. Second, we train another classifier that is slightly shallower and has fewer number of parameters several times, to build a dataset that will allow us to perform a thorough study of ensemble techniques. We introduce several notions, namely, “model confidence”, “class-specific accuracy”, and “prediction frequency”. We use these quantities to study various ensemble methods, and provide some insight into the behavior of the CNN classifier for certain input images.
Human Ehrlichioses and Rickettsioses in Cameroon

Human ehrlichioses and rickettsioses are important arthropod borne infectious diseases which are transmitted by ticks, mites, lice and fleas. Infections result in mild to fatal outcomes, with clinical presentations that resemble other tropical infectious diseases such as malaria making clinical diagnosis difficult. Despite recognition as important causes of lifethreatening diseases in the United States, the geographic distribution of these diseases worldwide remains undefined due to their recent emergence, challenges in diagnosis and lack of comprehensive epidemiological studies needed to determine incidence in developing countries. Recently, the transfer of technological developments to other parts of the world especially developing countries has encouraged basic epidemiological inquiry and generated scientific interest in understanding the epidemiology of these tick borne diseases and their role as causes of undifferentiated febrile illnesses. In this chapter, we review the current knowledge of human monocytotropic ehrlichiosis (HME) and spotted fever rickettsiosis (African tick bite fever) in Cameroon.
Infusing Multicultural Counseling Competencies into Counselor Training Curriculum.

Multicultural counseling competencies have become an increasingly important component of counselor training. This article presents rationale for infusing multicultural competencies into select CACREP course areas, which are assessment, helping relationships, professional identity, and career development. Concrete activities that encompass proposed counselor training program goals, instructional strategies, and guidelines and objectives recommended in past research are presented for these curricular areas. This article also examines future directions for multicultural competency research. (Contains 41 references.) (Author/JDM) Reproductions supplied by EDRS are the best that can be made from the original document. Infusing Competencies 1 Running head: INFUSING MULTICULTURAL COUNSELING COMPETENCIES Infusing Multicultural Counseling Competencies into Counselor Training Curriculum Danica G Hays Georgia State University Please address all questions and comments regarding this manuscript to: Danica G Hays 2925 Brookfield Circle Cumming, GA 30040 dghays@hotmail.com
Evaluation of IEEE 802.11a/g/p Transceiver for SDR

In recent years, software-defined radios (SDRs) have drastically changed the way that research and experimental works are made in the wireless area. The main idea of SDR is to implement most of the radio functionality and signal processing, such as modulation, demodulation, coding and filtering with software, making the SDR solutions much more flexible and easily modified than traditional radios, which everything is implemented in hardware. Thus, with SDR technology modifications at the physical (PHY) or medium access control (MAC) layer are much easier to reconfigure. The main objective of this dissertation is to perform a detailed evaluation of the performance of one IEEE 802.11 SDR transceiver implementation as well as their adaptation to operate in other environments that require operation at lower frequencies, such as underwater, maritime and underground environments. Multiple interoperability tests were conducted with commercial equipment in order to evaluate the performance of the SDR implementation, as well as communications between two SDR devices. Experimental results obtained with over-the-air communications at different operating frequencies show that the communication through SDR achieves UDP throughputs up to 1.8 Mbit/s with an average delay lower than 1 ms. The adaptation of the SDR implementation to operate at low frequencies was tested in a freshwater testbed, where it was possible to achieve maximum UDP throughputs of 500 kbit/s at a distance of 3 meters, for a frequency of 200 MHz and a signal bandwidth of 5 MHz. The maximum range achieved for the use of 802.11 networks in freshwater environments was 5 meters, for a frequency of 200 MHz, which exceeds in more than 200% the range achieved in previous works. On the other hand, we achieved a maximum range of 1.8 meters in a seawater testbed. Besides, the average Round Trip Time (RTT) between SDRs was lower than 50 ms for all the frequencies. These results show that SDR-based implementations can be used for research and development in the wireless area, such as the exploration of RF underwater communications.
Tuberculosis and Colonialism: Current Tales about Tuberculosis and Colonialism in Nunavut

The objective of this study was to examine Inuit experience and make meaning of tuberculosis (TB) and how this may relate to the prevalence of TB in Nunavut. The study was conducted through seven months of fieldwork in two Nunavut communities using ethnographic methods for data collection including interviews, observation, participant observation, and document review. The study found that Inuit participants made meaning of TB through a combination of biomedical and traditionally Inuit holistic explanations. The theme of colonialism recurred as an influence shaping the Inuit experience of TB, through socio-political effects of colonization, such as poverty and substance abuse, and through continuing colonialism, including offering public health education in culturally incongruent ways. Examples of discrimination within and outside the healthcare system were also described as effecting the Inuit experience of TB. In order to decrease the incidence of TB in Nunavut, decolonizing measures are necessary. Decolonizing measures include embracing Inuit ways and values in educational, health and political matters. In order for this to be possible and to reduce poverty, an infusion of funds from the federal government is needed. Euro Canadians working in the Nunavut healthcare system must also examine the assumptions, motivations and values that inform their work.
Gezondheidseconomie voor niet-economen : een inleiding tot de begrippen, methoden en valkuilen van de gezondheidseconomische evaluatie.

Dit boek heeft 2 doelstellingen. Ten eerste wil het een positieve visie overbrengen omtrent de rol van het economisch denken in de gezondheidszorg. Economie staat te veel synomiem met besparen en financiele druk. Economie gaat echter over het optimaal besteden van de beschikbare financiele middelen. Een goede toepassing van het economisch denken in de gezondheidszorg houdt in dat men de gezondheidsector als een productieve sector beschouwt, met als doel gezondheid te produceren, door ervoor te zorgen dat mensen langer en gezonder leven. Maar wie zegt "productief" zegt ook "productiviteit": de maatschappij moet met de beschikbare middelen trachten zoveel mogelijk gezondheid te winnen, en daarom moet men voorrang geven aan interventies (preventief of curatief) die per geinvesteerde Euro het meest gezondheid opleveren. De methode die gehanteerd wordt bij het maken van dergelijke keuzes, is de gezondheidseconomische evaluatie. En dat brengt ons bij de tweede doelstelling van het boek, met name deze methode van gezondheidseconomische evaluatie uitdiepen en uitleggen. Steeds meer worden niet-economen geconfronteerd met resultaten van dergelijke evaluaties, bv. in medische tijdschriften. Maar ze slaan die artikels vaak over, want onbekend is onbemind. Dit boek wil daar wat aan doen. Op die manier worden niet-economen gewapend om mee te praten en in debat te treden over de keuzes in de zorg.
Form errors estimation in free-form 2D and 3D geometries.

Discussion & Conclusion: The comparison between results obtained using this approach and using traditional fitting methods shows differences on the fitting and errors parameters estimation. In particular in the traditional fitting there is a repartition of the size error contribution in the translation and form errors. The differences increase proportionally to the offset value estimated. The calculation of offset parameter allows the separation of size from geometric errors in free-form profiles/surfaces and the “true” form error estimation.
Toward Robust Crowdsourcing-Based Localization: A Fingerprinting Accuracy Indicator Enhanced Wireless/Magnetic/Inertial Integration Approach

The next-generation Internet of Things (IoT) systems have an increasingly demand on intelligent localization which can scale with big data without human perception. Thus, traditional localization solutions without accuracy metric will greatly limit vast applications. Crowdsourcing-based localization has been proven to be effective for mass-market location-based IoT applications. This paper proposes an enhanced crowdsourcing-based localization method by integrating inertial, wireless, and magnetic sensors. Both wireless and magnetic fingerprinting accuracy are predicted in real time through the introduction of fingerprinting accuracy indicators (FAIs) from three levels (i.e., signal, geometry, and database). The advantages and limitations of these FAI factors and their performances on predicting location errors and outliers are investigated. Furthermore, the FAI-enhanced extended Kalman filter (EKF) is proposed, which improved the dead-reckoning (DR)/WiFi, DR/Magnetic, and DR/WiFi/Magnetic integrated localization accuracy by 30.2%, 19.4%, and 29.0%, and reduced the maximum location errors by 41.2%, 28.4%, and 44.2%, respectively. These outcomes confirm the effectiveness of the FAI-enhanced EKF on improving both accuracy and reliability of multisensor integrated localization using crowdsourced data.
The Graphical Method for Decision of Restitution Coefficient and Its Applications

In this paper we present a graphical method for decision of restitution coefficient based on ODE. To simulate and illustrate our proposed method and efficient characteristics that demonstrate for two colliding bodies we used MatLab. In simulation to approach to the real case we used an assumption of additional virtual body’s position and velocity for characterizing material of the body which is involved to express the restitution coefficient. The graphic animation program is developed based on ODE for the computer simulation of the proposed graphical method. Additionally, we determined this new characteristic for some sport game balls such as basketball, volleyball, etc.
Running toward: Reframing possibility and finitude through physicians' stories at the end of life

Author(s): Oakes-Greenspan, Marilyn | Advisor(s): Benner, Patricia | Abstract: Though much has been written about death and dying in medical settings, there is little literature that discusses the phenomenon of talking with patients about the end of life from the physician's perspective.This dissertation uses interpretive phenomenology to understand the challenges physicians face in talking with patients with life-threatening diseases about dying and death. 14 physicians were interviewed, and the interviews themselves used open-ended questioning to elicit stories of physicians' experiences talking with their patients about the end of life. The use of interpretive phenomenology to analyze the narratives necessarily incorporates issues of situated context, embodiment and finitude to examine how we as patients and physicians deal with how relational spaces are constitutive, and the difficulty of confronting finitude given the human condition of not ever being able to get out of and beyond finitude in the face of our dying. Four major themes, of connectedness, presence, rupture, and vulnerability arose in the analysis, demonstrating how physicians, despite their scientific stance, are as caught up as their patients in the situatedness of their experiences and their biography. Framing these narrative themes around larger issues of experience, understanding, habitus, and climate of the medical scene provided a larger view of the challenges physicians and patients face in discussing end-of-life issues. How physicians are able to go beyond the narrow scientific paradigm of their medical world is demonstrated in their stories that illustrate the vulnerable and situated nature of caring for the seriously ill and dying.
Conceptualizing Embodied Automation to Increase Transfer of Tacit knowledge in the Learning Factory

This paper will discuss how cooperative agent-based systems, deployed with social skills and embodied automation features, can be used to interact with the operators in order to facilitate sharing of tacit knowledge and its later conversion into explicit knowledge. The proposal is to combine social software robots (softbots) with industrial collaborative robots (co-bots) to create a digital apprentice for experienced operators in humanrobot collaboration workstations. This is to address the problem within industry that experienced operators have difficulties in explaining how they perform their tasks and later, how to turn this procedural knowledge (knowhow) into instructions to be shared among other operators. By using social softbots and co-bots, as cooperative agents with embodied automation features, we think we can facilitate the ‘externalization’ of procedural knowledge in human-robot interaction(s). This enabled by the capabilities of social cooperative agents with embodied automation features of continuously learning by looking over the shoulder of the operators, and documenting and collaborating with them in a non-intrusive way as they perform their daily tasks.
The Mathematical Theory of Infectious Diseases and Its Applications

This second edition is really a new book incorporating Dr Bailey's earlier monograph on the theory of epidemics. More than half the book is new and the wider scope is indicated by the more general title. The purpose of the book is to give fairly wide coverage of mathematical theory relevant to modelling the spread of infectious disease and to present some illustrative applications. Other CABI sites 