Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards increased business model comprehension – principles for an advanced business model tool

Business modelling is recognized as an important concept to make company strategies more explicit and to compare alternatives combined with their translation to the operational layer. Typically, busi-ness modelling is performed by a group of experts building on established frameworks like the Busi-ness Model Canvas. In a subsequent step, different stakeholders in a company should build upon and work with the defined business models, thus, comprehension is critical. However, this is challenging from a practical point of view and existing research has not addressed the issue of business model comprehension. In order to close this research gap and to increase users’ business model comprehen-sion, we propose an advanced business model tool and an experimental design in this research-in-progress paper. Following the design science approach, we derive a first set of meta-requirements and design principles and present an advanced business model tool instantiation. The presented tool should contribute to an increased business model comprehension by providing semantic relationships and extended business performance indicators. Finally, we present a set of testable hypotheses and the research design for an experimental tool evaluation. With this research we intend to provide a solu-tion to the problem of business model comprehension and contribute to the design knowledge base of business model tools.
Revisão sobre avaliações para indicação de dispositivos de tecnologia assistiva

O objetivo deste trabalho foi identifi car, por meio de revisao da literatura, as avaliacoes mais utilizadas por profi ssionais para a indicacao e implementacao de dispositivos de tecnologia assistiva. A pesquisa foi realizada em 6 bases de dados: CINAHAL, Eric, GALE, LILACS, MEDLINE e PsycInfo. Nenhum estudo brasileiro foi encontrado e, dentre os 29 artigos internacionais selecionados, 15 avaliacoes foram encontradas na indicacao e implementacao de T.A. , sendo 7 dessas especifi cas de T.A. Para a analise, foram realizados dois tipos de analise: a bibliometrica e a critica. Os resultados mostraram que as avaliacoes Quebec User Evaluation of Satisfaction with Assistive technology - QUEST, Psychosocial Impact of Assistive Device Scale - PIADS, Individually Prioritised Problem Assessment - IPPA e a Matching Person and Technology - MPT foram as mais citadas nos estudos. Pode-se observar que as avaliacoes que priorizam aspectos pessoais e funcionais vem ganhando prioridade por parte dos profi ssionais da area, porem apenas
Research problems in S-2 theses

The study is intended to identify, classify, evaluate, describe, and explain the quality and the patterns of research problems in the S-2 theses of the English Education Program at Islamic University of Malang. Qualitative approach and evaluation designs were used. The data of the study were 135 of S-2 theses of the English Education Program at Islamic University of Malang from 2003-2008. The study reveals that the majority of the research problems, as written in the theses, indicate clarity, researchability, variables being involved, areas, designs, non-factual data or information, and significance.
Reconfigurable Orthogonol Systolic Array Implementation of a Kalman Filter

An important part of optimal estimation technology, the Kalman filter is a computationally intensive application that has been limited either to non-real time realizations or to realizations that can afford vast amounts of mainframe hardware. The potential use of the Kalman filter theory could be greatly enhanced by a low cost, high performance machine capable of computing the recursive matrix equations in real time. The use of pipelined parallel architectures allows the Kalman filter equations to be realized with much greater efficiency than previous implementations. A reconfigurable, few instruction, multiple data, orthogonal, pipelined, systolic array processor will be used to implement the recursive_ algorithm of the filter. Since the architecture is reconfigurable, a single systolic array will perform all of the required operations. The architecture selected provides a general foundation for other applications involving matrix computations to build upon. A previously designed algorithm for pipelined matrix multiplication is employed, and a modified version of an inversion algorithm which is based on Cholesky's method is used. The resulting system improves the performance of the Kalman filter by about a factor of three over an implementation by Liu and Young.
The Beyond Within: The LSD Story

The medical community was alarmed recently by the uncontrolled and somewhat-promiscuous use of "hallucinogens" in one of our major cities. The lay press contained many accounts suggesting the various hallucinogenic properties, but emphasized that the drugs seemed to provide the user with something of a mystic experience— what has been called "instant Zen. " In The Beyond Within the author places these drugs in a historical perspective, discusses their effects on the mind, and suggests their potential as adjuncts in psychotherapy or as agents of chemical warfare. The book reflects a significant problem facing the researcher working with these drugs—the fact that it is difficult to convey the nature of the experience after taking such a drug. This reviewer has taken a hallucinogen as part of a research project, and can appreciate the difficulty the author had in choosing accounts from people under the influence of these drugs. The experience does
Physician adherence to communication tasks with adult vs. older adult female patients

1 Chapter 1: Introduction.2 Physician-Patient Relationship and Older Adults.3 Purpose of the Study.5 Importance of the Study.7 Physician-Patient Communication and Health Psychology.10 Research Questions and Hypotheses . 11 Definition of Terms.11 Initial Limitations of the Study.13 Chapter 2: Literature Review.15 Physician-Patient Relationship.16 Patient-Centered Care.34 Patient-Centered Care and Medical Education.50 Training and Evaluation.54 Chapter 3: Methodology.66 Participants.66 Procedures.72 Measurement.73 Design.87 Physician Adherence 3 Analysis.87 Chapter 4: Results.89 Introduction.89 Analysis.89 Supplementary Analysis.94 Chapter 5: Discussion.95 Physician-Patient Communication.97 Working Alliance and Communication Adherence.102 Limitations.106 Implications of the Study.107 Conclusions.117 References.119 Appendices.142 Physician Adherence 4
P127 Improving smoking cessation advice through the implementation of a quality improvement intervention

Background Smoking remains the main cause of preventable morbidity and premature death in England (DH data) and is estimated to cost the NHS £1.5 billion a year. Smoking counselling beginning during hospitalisation and including support after discharge increases smoking cessation rates (Rigotti et al 2008). 1 Health professionals in the hospital are expected to offer cessation advice. An audit was carried out in the acute medical unit of 118 consecutive medical patients which demonstrated that only 1/25 current smokers received any cessation advice. In July 2010, driven by a quality improvement project carried out locally in patients admitted with community-acquired pneumonia, key indicators of high quality care were established, one of which was to clearly document and offer smoking cessation advice to current or recently-quit smokers. Despite being a requirement, documentation regarding smoking cessation advice was poor. In the respiratory wards, only seven patients were referred to existing smoking cessation services over 6 months. Several interventions were planned to increase awareness. No additional resource was required and members of the multidisciplinary team were employed in a variety of roles. An educational programme was established, including presentations to key specialities (acute and respiratory medicine) and key ward nursing staff. An in-reach programme was developed by the smoking cessation lead nurse, targeting wards where high rates of smoking were identified. Several foundation trainees were employed as “smoking champions,” raising awareness among their peers. Results Since initiation of the interventions, documented cessation advice has steadily risen from 0% to 68% of patients with a smoking history (see Abstract P127 figure 1). On the respiratory wards, 77 patients over 6 months (cf seven prior to intervention) were referred to the service. Four-week cessation rates in the patients referred to the cessation service was 82% and of these patients 70% had still ceased to smoke at 6 months.Abstract P127 Figure 1 Adult smoking cessation advice/counselling. Conclusions Low cost, easily-deliverable interventions can act as important drivers to improve awareness and delivery of smoking cessation advice. We have demonstrated that simple strategies can be highly cost effective, of particular importance in this financial climate.
Performance analysis of a self-locating mobile sensor

We consider the ability of a mobile sensor to locate its own geographical location, the so-called self-localization problem. The need to locate people and objects has inspired the development of many systems for automatic localization. Most systems are based on location information and measured radio propagation characteristics for received signals from sensors in the proximity of the mobile sensor. It is of fundamental importance that such systems also works in critical situations such as loss of observability or the presence of multipath. The present paper suggest a framework to assess the performance of localization algorithms in mobile and critical situations. This is done by exploring the performance of various ﬁltering techniques for self-localization of a mobile sensor in a ﬁeld of sensors. More speciﬁcally, we model the mobility of the sensor such that the velocity varies according to an autoregressive model. Measurement uncertainty is assumed to follow a Gaussian distribution and the probability for detecting a distance to a given sensor is assumed to fall oﬀ exponentially with squared distance. The combined model is formulated as a nonlinear state space model and Bayesian inference is performed with the extended Kalman ﬁlter (EKF) and a particle ﬁltering method. Precision of the position estimate is evaluated by the root mean square error (RMSE). A lower bound on the RMSE of the estimate is derived, thus providing important information on the best achievable precision for any algo-rithm. We report a number of simulation experiments which validate our proposed algorithms and theoretical results. We conclude that the performance of the EKF and particle ﬁl-tering methods are comparable and that the derived lower bound is a useful lower limit on the RMSE.
Cartilage Pathology With Concomitant Ankle Instability

Ankle instability and chondral pathology commonly present together. This review discusses the current evidence for the etiology of chondral lesions, the association between ankle instability and chondral injury, and the optimal method of managing a patient with symptomatic chondral pathology (osteochondral lesions and tibiotalar osteoarthritis) in the setting of an unstable ankle. The literature pool is weak for recommendations on the management of osteophytes and osteoarthritis with ankle instability. Multiple factors do compound dual treatment of osteochondral lesions and instability; however, concomitant surgery addressing both pathologies has been shown to have outcomes comparable to osteochondral surgery alone with similar complication rates.
A computer simulation of a dental articulator

The research described in this paper concerns a model of an articulator, which is itself a mechanical model of the human jaw. These devices have numerous adjustments which allow the user to simulate movement patterns recorded previously from a patient. A mathematical model was devised to duplicate the articulator movement patterns and display the results on a graphics terminal. By varying adjustments in the simulated articulator, the user may observe on the terminal the effects these changes have on the tooth morphology.
La plateforme INVENIO

Dans cet article, nous proposons une nouvelle plateforme d'indexation de contenus multimedias, dite INVENIO (INdexing Visual ENvironment for multimedia Items and Objects). Fondee entierement sur la norme ISO/MPEG-7, la plateforme INVENIO offre, dans un systeme integre, moteurs d'extraction de metadonnees MPEG-7, outils d'annotation, moteur de requete, outils de gestion de bases de donnees multimedias, ainsi que des interfaces utilisateurs appropriees et ergonomiques. Pour valider la plateforme INVENIO, nous avons considere une application industrielle d'indexation et de reconnaissances d'images couleur/texture fixes et animes, liee au projet CapDigital HD3D-IIO. Il s'agit notamment d'une problematique de reutilisation de contenus numeriques au sein d'une chaine de production audiovisuelle. Les experimentations realisees concernent differentes chaines de production audiovisuelle, incluant des contenus aussi bien naturels que de synthese (i.e. dessins animes). Les solutions d'indexation et de reconnaissance d'images proposees dans de cet article demontrent notamment que l'exploitation des technologies MPEG-7 a travers la plateforme d'indexation INVENIO permet de realiser une economie significative de temps de travail, ainsi qu'une reutilisation optimale des contenus numeriques en cours de production.
Issues in Spoken Dialogue Systems for Human- Computer Interaction

Spoken dialogue systems are a step forward towards the realization of human-like interaction with computer-based systems. This chapter focuses on issues related to spoken dialog systems. It presents a general architecture for spoken dialogue systems for human-computer interaction, describes its components, and highlights key research challenges in them. One important variation in the architecture is modeling knowledge as a separate component. This is unlike existing dialogue systems in which knowledge is usually embedded within other components. This separation makes the architecture more general. The chapter also discusses some of the existing evaluation methods for spoken dialogue systems. DOI: 10.4018/978-1-4666-0954-9.ch007
Subjective Evaluation of Acoustical Environments for Solo Performance

A subjective experiment was conducted involving assessment of acoustical environments for solo performance by two different instruments, the cello and the xylophone. The sound fields were produced by digital convolution of binaural impulse responses with recorded “dry” music. A group of professional listeners and a group representing the general public were asked to evaluate simulated music via headphones. A forced-choice comparison was used. Participants picked their preferred sound field for each of 66 pairs of test signals. Multiple regression analyses yielded 3 orthogonal measures. They were early level (G80), reverberation time (RT) or early decay time (EDT), and treble ratio of early level (T(G80)) according to their respective significance of correlation with preference score. The minimum acceptable overall level (G) was 5.6 dB and the preferred reverberation time (RT) was 1.4 sec. Both groups of listeners preferred a 0.19-sec longer reverberation time for the cello music than for the xylophone music.
Two-step rule estimation (TRE) - intrusion detection method against eluding NIDS

In this paper, we propose a TRE (Two-step Rule Estimation) method that can avoid eluding attacks of NIDS (Network-based Intrusion Detection System). Many existing NIDS have used rule-based pattern-matching method, that is, an expert system. However, this method is very vulnerable to insertion and evasion attacks. The TRE method proposed in this paper consists of two processes; the first process involves a preprocessor that searches for the optimal rule similar to a captured packet, and the second process involves a main processor that achieves adaptive pattern matching. The TRE is designed to detect various kinds of eluding attacks and can decrease the miss-detection probability of the rule-based pattern matching that is usually used in NIDS.
An Exploration of Three-Dimensional Integrated Assessment for Computational Thinking

Computational thinking (CT) is a fundamental skill for students, and assessment is a critical factor in education. However, there is a lack of effective approaches to CT assessment. Therefore, we designed the Three-Dimensional Integrated Assessment (TDIA) framework in this article. The TDIA has two aims: one was to integrate three dimensions (directionality, openness, and process) into the design of effective assessment tasks; and the other was to assess comprehensively the three dimensions of CT including computational concepts, practices, and perspectives. Guided by the TDIA framework, we designed three pairs of tasks: closed forward tasks and closed reverse tasks, semiopen forward tasks and semiopen reverse tasks, and open tasks with a creative design report and open tasks without a creative design report. To further confirm each task’s applicability and its advantages and disadvantages, we conducted a test experiment at the end of the autumn semester in 2014 in a primary school for 3 weeks. The results indicated that (a) the reverse tasks were not more superior than the forward tasks; (b) the semiopen tasks and the open tasks were more effective than the closed tasks, and the semiopen tasks had higher difficulty and discrimination than the others; (c) the self-reports provided a helpful function for learning diagnosis and guidance; (d) the scores had no significant difference between the schoolboys and the schoolgirls in all six tasks; and (e) the six tasks’ difficulty and discrimination were all acceptable, and the semiopen tasks had higher difficulty and discrimination than the others. To effectively apply them, the following suggestions for teachers to design computational tasks are proposed: motivating students’ interest and enthusiasm, incorporating semifinished artifacts, involving learning diagnosis and guidance, and including multiple types of tasks in an assessment.
Outcome of Pregnancy Following Endometrial Ablation

ABSTRACT Pregnancy following endometrial ablation is uncommon, and the literature does not allow an estimation of the likelihood of complications. Women with Asherman's syndrome, which is regarded as similar to a postablation uterus, have a 30% chance of progressing to term delivery. We report four pregnancies following endometrial ablation, bringing the total number of published cases to 37. The outcomes are analyzed to provide evidence for patient counseling and for management of those women who are pregnant following endometrial ablation. Just over half of the reported pregnancies following endometrial ablation were therapeutically aborted, and an additional 11% aborted spontaneously. The 11 continuing pregnancies were complicated by perinatal death in 2 (18%) and intrauterine growth retardation in 5 (45%). There was premature rupture of membranes in 3 (27%), preterm delivery in 7 (64%), and placenta accreta in 6 (55%). Preterm deliveries were by emergency cesarean section, except in 1 case, and all pl.
EVOLUTION OF THE EPICS CHANNEL ACCESS PROTOCOL

Experimental Physics and Industrial Control System (EPICS) is one of the most widely deployed control system infrastructures in the large experimental physics community. At EPICS' foundation are 1) the real-time process database, which allows integrators to build the control system from reusable building blocks (e.g., device drivers) into a coherent whole without much coding or other kind of development, and 2) the Channel Access protocol, which allows the database to be distributed across several computers in a scalable way. In this contribution, we describe the objectives of the next major EPICS release (v4). In particular, we focus on the improvements of the Channel Access protocol that will allow it to support additional functionality, such as structured process variable data (pvData) and clientspecified filters. We also describe how this functionality is implemented while simultaneously further improving the Channel Access' performance (no-copy get, flow control improvements, beacon traffic reduction, zero-length queues, etc.). We also discuss potential for future improvements, such as use of IP multicast and a layer for implementing remote-procedure call style of communication.
Investigation of Wireless Sensor Networks for Precision Agriculture

Wireless Sensor Network (WSN) is a promising data mining solution of precision agriculture. Instrumented with wireless sensors, it will become available to monitor the plants in real time, such as air temperature, soil water content, and nutrition stress. The real time information of the fields will provide a solid base for farmers to adjust strategies at any time. WSN will revolutionize the data collection in agricultural research. However, there have been few researches on the applications of WSN for agriculture. This work was focused on the investigation of wireless sensor networks in agricultural applications. With a 2.4GHz wireless sensor node, the factors such as the coverage area and the agricultural environment effects (bare soil, soybean, and corn fields) on the radio were studied. The datasets were obtained from experiments. They could give an estimation of the sensors to be deployed in different environments given a certain area.
Analisi molecolare delle fasi evolutive della micosi fungoide

Lo scopo del progetto triennale del dottorato di ricerca e lo studio delle alterazioni genetiche in un gruppo di pazienti affetti da micosi fungoide ed un gruppo di pazienti affetti da sindrome di Sezary. Dalle biopsie cutanee e stato estratto il DNA e analizzato, comparandolo con DNA sano di riferimento, utilizzando la tecnica array-CGH, allo scopo di identificare la presenza di geni potenzialmente implicati nel processo di oncogenesi. Questa analisi e stata eseguita, per ogni paziente, su biopsie effettuate ad una fase iniziale di malattia e ad una fase di progressione della stessa. Sugli stessi pazienti e stata inoltre eseguita un’analisi miRNA. Si ipotizza che il profilo d’espressione dei miRNA possa infatti dare informazioni utili per predire lo stato di malattia, il decorso clinico, la progressione tumorale e la riposta terapeutica. Questo lavoro e stato poi eseguito su biopsie effettuate in pazienti affetti da sindrome di Sezary che, quando non insorge primitivamente come tale, si puo considerare una fase evolutiva della micosi fungoide. La valutazione delle alterazioni genetiche, ed in particolare la correlazione esistente tra duplicazione e delezione genetica e sovra/sottoespressione genetica, e stata possibile attraverso l’interpretazione e la comparazione dei dati ottenuti attraverso le tecniche array-CGH e miRNA. Sono stati comparati i risultati ottenuti per valutare quali fossero le alterazioni cromosomiche riscontrate nei diversi stadi di malattia. L’applicazione dell’array-CGH e della metodica di analisi mi-RNA si sono rivelate molto utili per l’identificazione delle diverse aberrazioni cromosomiche presenti nel genoma dei pazienti affetti da micosi fungoide e sindrome di Sezary, per valutare la prognosi del paziente e per cercare di migliorare o trovare nuove linee terapeutiche per il trattamento delle due patologie. Lo studio di questi profili puo rappresentare quindi uno strumento di grande importanza nella classificazione e nella diagnosi dei tumori.