Miracle-dz/UniFAR-FTUs huggingface dataset:
Ferrets, rabbits, and rodents : clinical medicine and surgery

Section I: Ferrets: Basic Anatomy. Basic Approach to Veterinary Care. Gastrointestinal Diseases. Helicobacter Gastritis, Proliferative Bowel Disease, And Eosinophilic Enteritis. Urogenital Diseases. Periparturient and Neonatal Diseases. Cardiovascular Diseases. Respiratory Diseases. Endocrine Diseases. Neoplasia. Dermatologic Diseases. Musculoskeletal and Neurologic Diseases. Soft Tissue Surgery. Section II: Rabbits: Basic Anatomy, Physiology, And Husbandry. Basic Approach to Veterinary Care. Nutrition and Gastrointestinal Physiology. Gastrointestinal Diseases. Respiratory Diseases and Pasteurella Complex. Urogenital Diseases. Dermatologic Diseases. Musculoskeletal and Neurologic Diseases. Soft Tissue Surgery. Section III: Guinea Pigs and Chinchillas: Basic Anatomy, Physiology, Husbandry,And Clinical Techniques. Disease Problems. Soft Tissue Surgery.
Arbeitszeitdiskrepanzen mindern Zufriedenheit mit Arbeit und Gesundheit

This article is based on a study investigating the impact of working time mismatches, which are defined as the difference between desired and actual working hours, on dimensions of work-life-balance. Based on a theoretical stress model the empirical study shows by means of data from the German Socio-Economic Panel (SOEP) that working time discrepancies have a negative impact on job and health satisfaction for employees. Furthermore, the article discusses implications for research and social policy regarding over- and underemployment.
Sobre a criao e a gesto do conhecimento organizacional

Con vistas a crear y estabilizar una posicion de ventaja competitiva sostenible, cada vez mas, las mejores organizaciones estan invertiendo en la aplicacion de conceptos como aprendizaje, conocimiento y competencia. La creacion o adquisicion de conocimiento sobre sus acciones por la organizacion representa un recurso intangible capaz de conferirle ventaja competitiva. Ese conocimiento es derivado de interacciones desarrolladas en procesos de aprendizaje que ocurren en el ambiente organizacional. Cuanto mas especificidades ese conocimiento revele con relacion a la organizacion, mas el se hara el fundamento de sus competencias esenciales y, en consecuencia, un activo estrategico importante. El texto enfatiza el rol de los enfermeros en el proceso de gestion del conocimiento, emplazandoles en la interseccion de los flujos horizontales y verticales de informacion y en la creacion de una ventaja competitiva sostenible. Los autores creen que esa contribucion podra crear oportunidades para una reflexion con respecto a sus implicaciones para los escenarios de las practicas de salud y de enfermeria.
Novosti u epidemiologiji sranoilnih bolesti i zbrinjavanju arterijske hipertenzije News in Epidemiology of Cardiovascular Diseases and Management of Arterial Hypertension

SAŽETAK Arterijska hipertenzija glavni je nezavisni čimbenik rizika od srčanožilnih bolesti, vodeća kronična nezarazna bolest i najčešći uzrok smrti diljem svijeta. U nastojanju za što učinkovitijim i za pacijente sigurnijim načinom liječenja mnogobrojna stručna društva objavljuju preporuke za zbrinjavanje ove bolesti. Tijekom 2013. godine objavljena su nova izdanja europskih i američkih postupnika za arterijsku hipertenziju, što je i glavna tema ovoga preglednog članka. Uz očekivane novosti smjernice karakteriziraju sličnosti u preporukama za dijagnozu, kao i onima za liječenje. Glavni su prijepori kod bolesnika s I. stupnjem hipertenzije koji nemaju dokazanih čimbenika rizika te kod liječenja hipertenzije u osoba starije životne dobi. Obje skupine zahtijevaju individualan pristup, fleksibilnije ciljne vrijednosti, striktno provođenje nefarmakoloških mjera, a kod primjene antihipertenzivne terapije potrebno je obratiti pozornost na učinkovitost i sigurnost liječenja. KLJUČNE RIJEČI: arterijska hipertenzija, smjernice, antihipertenzivna terapija
Key Technologies in Massive MIMO

The explosive growth of wireless data traffic in the future fifth generation mobile communication system (5G) has led researchers to develop new disruptive technologies. As an extension of traditional MIMO technology, massive MIMO can greatly improve the throughput rate and energy efficiency, and can effectively improve the link reliability and data transmission rate, which is an important research direction of 5G wireless communication. Massive MIMO technology is nearly three years to get a new technology of rapid development and it through a lot of increasing the number of antenna communication, using very duplex communication mode, make the system spectrum efficiency to an unprecedented height.
Vital sign monitoring and data fusion for paediatric triage

Accurate assessment of a child’s health is critical for appropriate allocation of medical resources and timely delivery of healthcare in both primary care (GP consultations) and secondary care (ED consultations). Serious illnesses such as meningitis and pneumonia account for 20% of deaths in childhood and require early recognition and treatment in order to maximize the chances of survival of affected children. Due to time constraints, poorly defined normal ranges, difficulty in achieving accurate readings and the difficulties faced by clinicians in interpreting combinations of vital signs, vital signs are rarely measured in primary care and their utility is limited in emergency departments. This thesis aims to develop a monitoring and data fusion system, to be used in both primary care and emergency department settings during the initial assessment of children suspected of having a serious infection. The proposed system relies on the photoplethysmogram (PPG) which is routinely recorded in different clinical settings with a pulse oximeter using a small finger probe. The most difficult vital sign to measure accurately is respiratory rate which has been found to be predictive of serious infection. An automated method is developed to estimate the respiratory rate from the PPG waveform using both the amplitude modulation caused by changes in thoracic pressure during the respiratory cycle and the phenomenon of respiratory sinus arrhythmia, the heart rate variability associated with respiration. The performance of such automated methods deteriorates when monitoring children as a result of frequent motion artefact. A method is developed that automatically identifies high-quality PPG segments mitigating the effects of motion on the estimation of respiratory rate. In the final part of the thesis, the four vital signs (heart rate, temperature, oxygen saturation and respiratory rate) are combined using a probabilistic framework to provide a novelty score for ranking various diagnostic groups, and predicting the severity of infection in two independent data sets from two different clinical settings.
Positive Edge Consensus of Complex Networks

This paper focuses on addressing the consensus problem of edges for both undirected and directed nodal networks whose edges are described by nominal or uncertain positive linear systems. The definition of line graph is given, and the similar properties and connections between the two types of graphs are established. Based on the rigorous theoretical analysis, distributed positive consensus algorithms are proposed, and the main results are given without utilizing the global interaction information. Subsequently, sufficient conditions for consensus with positivity constraint are given via the vertex number and the edge number of the original nodal network. Furthermore, according to the properties of Metzler matrix, we also solve the consensus problem for multiple edges which are modeled by uncertain positive systems. Some simulation studies are finally presented to verify the feasibility and effectiveness of the proposed results.
Ticagrelor (brilique"): puissant antagoniste oral de l'activite plaquettaire.

La bitherapie antiplaquettaire par aspirine et clopidogrel permet de prevenir les complications thrombotiques des syndromes coronaires aigus (SCA). La reponse individuelle au clopidogrel est cependant tres variable d'un sujet a l'autre et le risque d'evenements apparait plus eleve lorsque l'inhibition plaquettaire est insuffisante. Le ticagrelor (Brilique") est un puissant inhibiteur oral de l'activite plaquettaire. Il se lie de facon reversible au recepteur P2Y12 de l'adenosine diphosphate. L'inhibition plaquettaire qu'il induit est plus rapide et plus prononcee que celle du clopidogrel. Chez les patients ayant un SCA (etude PLATO), avec ou sans sus-decalage du segment ST, le traitement par ticagrelor, en comparaison au clopidogrel, reduit significativement les taux de deces d'origine vasculaire, d'infarctus du myocarde ou d'accident vasculaire cerebral, sans augmenter le taux global d'hemorragies majeures. Il accroit, cependant, le taux d'hemorragies non liees a une procedure. En Belgique, Brilique ® est actuellement indique en association avec l'aspirine pour la prevention des evenements atherothrombotiques chez les patients avec un SCA.
Getting computers to talk like you and me

Getting a computer to understand our everyday language may be a long way off; the computer has to know how to think as well as follow the rules of a particular language. This book makes an important contribution to the study of pragmatics and discourse by presenting an explicit and precise computational approach to the complex problem of the structure of discourse.As Professor Stephen Pinker of MIT notes, "Reichman has laudably chosen to inject some precision into a field much in need of it. "The book first looks at extended person-machine communication, beginning with person-person communication and focusing in particular on the conversational flow itself - what makes for coherent discourse? It then describes a computer model that describes this phenomenon as an augmented transition network (ATN). Rachel Reichman is Professor, Department of Electrical Engineering and Computer Science, University of California, San Diego.
Photometry and Radiometry: A Tour Guide for Computer Graphics Enthusiasts

What is light? Aristotle (384-322 B.C.) believed that light consists of “corpuscles” that emanated from the eye to illuminate the world. Today we favor the theory of quantum mechanics (e.g., Hecht and Zajac 1987) or perhaps the possibility that light may be vibrations in the fifth dimension of ten-dimensional hyperspace (e.g., Kaku 1994). Even so, the true nature of light remains a mystery. It is perhaps appropriate that the preeminent dictionary of the English language describes light as:
Identifying Semantic Relations Between Disease And Treatment Using Machine Learning Approach

The Machine Learning field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. The empirical domain of automatic learning is used in tasks such as medical decision support, medical imaging, protein-protein interaction, extraction of medical knowledge, and for overall patient management care. ML is envisioned as a tool by which computer based systems can be integrated in the healthcare field in order to get a better, more efficient medical care. This project describes a ML-based methodology for building an application that is capable of identifying and disseminating healthcare information. It extracts sentences from published medical papers that mention diseases and treatments, and identifies semantic relations that exist between diseases and treatments. The evaluation results for these tasks show that the proposed methodology obtains reliable outcomes that could be integrated in an application to be used in the medical care domain. Index: Natural Language processing, Medical imaging, Machine learning.
Development of multi-frame detector for ultra-fast radiography with 800 MeV protons

Two prototype small-area pixilated detectors, capable of recording signals produced by 800 MeV proton beam micropulses, with a repetition rate of 358 ns, were constructed. The first detector system was built around a two-dimensional photodiode array. The array was illuminated by light emitted by a monolithic 1.7 mm thick LSO scintillator and imaged by a simple mirror and lens optical system. Tests were carried out with an array of 8/spl times/8 pixels 1 mm/sup 2/ in area. The other detector was a hydrogen ion-chamber operated at 1 to 2.5 atm. The fast positive-ion drift velocity in hydrogen helps to minimize the space charge build up. However, for pulses spaced closely in time, less than 1 /spl mu/s, there appear to be a substantial accumulation of positive space charge. The electronic readout chain, for each of the 64 channels, consisted of an externally clocked fast gated integrator and an amplifier coupled to an on-board ADC and a FIFO. The detectors were tested with a beam of up to 6/spl times/10/sup 6/ protons per mm/sup 2/ in 30 to 120 ns-wide microbursts.
Multiple Antenna-Aided Spectrum Sensing Using Energy Detectors for Cognitive Radio

Recently a spectral scarcity has arisen as a serious problem, because current static frequency allocation schemes cannot further accommodate an increasing number of devices requesting higher data rate. Therefore, CR (cognitive radio) technique has been considered as a potential solution to improve spectrum utilization by sharing the spectrum. In this chapter, the main concept of CR was introduced.
Sosial kapital og stressrelaterte lidelser for ansatte i sykehjemssektoren i Norge

Bakgrunn: Den demografiske endringen i befolkningen vil medfore en utfordring for helsetjenestetilbudet generelt og innen innenfor sykehjemssektoren spesielt i tiden som kommer. I denne studien vil sammenhenger mellom sosial kapital og stressrelaterte helseplager blant ansatte innenfor sykehjemssektoren bli undersokt. Metode: 197 helsepersonell fra fire ulike sykehjem inngikk i studien hvor stressrelaterte helseplager ble malt ved a anvende Hopkins Symtoms Check List (HSCL-10) og sosial kapital ved QPS-Nordic for psykososiale faktorer i arbeidslivet. Data ble analysert ved faktoranalyser(konstruksjon av sosial kapital), samt via korrelasjonsanalyse og multiple regresjonsanalyser. Resultat: Det foreligger en signifikant sammenheng mellom sosial kapital og stressrelaterte lidelser blant ansatte i sykehjemssektoren. Den vertikale relasjonen (leder-ansatt) er naert knyttet til forekomsten av stressrelaterte lidelser blant sykehjemsansatte, og da slik at vertikal rettferdighet framstar som den sterkeste prediktoren. Konklusjon: Resultatene stotter ideen om i sterkere grad a vektlegge relasjonelle forhold generelt, og utvikling av gode vertikale relasjoner i organisasjonen spesielt, i organisasjonsutviklingen innenfor helsevesenet Norge.
Perceptions of Part C Coordinators on Family Assessment in Early Intervention

The purpose of this study was to gain an understanding of six state-wide policies and procedures used in the family assessment process within early intervention services. This qualitative study examined the administrative understanding of the family assessment federal regulations, state policies and procedures, and local implementation from the perspective of the Part C coordinator in the state, using in-depth interviews that included six state Part C coordinators. Based on the findings of this study, two broad conclusions are offered, and recommendations are made for early interventionists in rural settings, Part C coordinators, and researchers in the area of family assessment.
Preference Based Quantified Summarization of On-line Reviews

Buying and selling patterns are required for business sector. The main objective of this paper is to propose new idea to understand the insights of data. We propose a model which is novel and provides preference based quantified summary in four dimensions with graphical display. The case analysis shows how the extracted, quantified information can be utilized by organizations to enhance any business and by the consumer to decide purchases.
Survey of Biometric Encryption

【Abstract】Biometric Encryption(BE) merges biometric template and the cryptographic key together to create biometric-key. Biometric template and the cryptographic key cannot be revealed without a successful biometric authentication. BE also includes cancelable biometrics, and with that, security and privacy can be achieved. The main schemes of BE are introduced in this paper and their advantages and disadvantages are pointed out. 【Key words】Biometric Encryption(BE); privacy-enhancement; security; biometric-key; cancelable biometrics
Detección de lesiones neoplásicas en pacientes cirróticos candidatos a trasplante hepático

Miguel Ángel Suárez-Muñoza, María Carmen Leiva-Verab, Julio Santoyo-Santoyoa, José Luis Fernández-Aguilara, José Antonio Pérez-Dagaa, Belinda Sánchez-Péreza, César Pablo Ramírez-Plazaa, José Manuel Aranda-Narváeza y Antonio Maté Hurtadoa Servicio de Cirugía General y del Aparato Digestivo. Unidad de Cirugía HBP y Trasplante Hepático. Hospital Universitario Carlos Haya. Málaga. España. Servicio de Radiodiagnóstico. Hospital Universitario Virgen de la Victoria. Málaga. España.
European Child Health Services and Systems: Lessons Without Borders

Forewords by Professor Massimo Pettoello-Mantovani, Professor Jochen Ehrich and Professor Dame Sally Davies Acknowledgements 1: Child health in Europe: an overview 2: Primary care for children 3: Health services for children with long-term conditions and non-communicable disease 4: Transition from children's to adults' services 5: Child public health 6: Schools and the health of children and young people 7: Young people's health and health services 8: Mental health and behavioural disorders 9: Services for vulnerable and maltreated children 10: Prescribing for children in Europe 11: Comprehensive strategies for improving child health services in Europe Index
Une nouvelle règle de combinaison répartissant le conflit - Applications en imagerie Sonar et classification Radar A new conflict-redistributing combination rule - Applications to sonar imagery and radar target classification

and key words These last years, there were many studies on the problem of conflict coming from information fusion, especially in evidence theory. We can summarize the solutions for managing the conflict in three different approaches: first, you can try to suppress or reduce the conflict before the combination step; secondly, you can manage the conflict in order to give no influenence to the conflict in the combination step, and then take into account the conflict in the decision step; thirdly, you can take into account the conflict in the combination step. The first approach is certainly the better, but not always feasible. It is difficult to say which approach is the best between second and third. However, the most important is the produced results in applications. We propose here a new combination rule that distributes the conflict proportionally on the elements giving this conflict. We compare these different combination rules on real data in Sonar imagery and Radar target classification. Belief functions, Conflict, Combination Rule, Sonar Imagery, Radar Target Classification. traitement du signal 2007_volume 24_numero special La theorie des fonctions de croyance 71
From Control Systems to Knowledge Systems

Historically, the human species has been dependent upon technology for survival. This dependency placed people in a control loop from which they learned that mechanical cause and-effect models were useful as explanatory mechanisms. These models were selectively reinforced to the exclusion of other forms of explanation. As the human's role shifts from that of a controller to a supervisor, new forms of rationality are reinforced. This process is being facilitated by new information technologies that demassify images and allow the individual to construct a highly personal understanding of human beings and nature.
The economics of vocational training : past evidence and future considerations

This paper: (i) presents a partial survey of the literature on the economics of vocational training to draw some lessons for evaluations; and (ii) indicates how much evaluations may be undertaken using data on pay, inputs and outputs. There are three important lessons. First, social, corporate and private returns to vocational training in developing countries appear to be high enough to justify expanding training activity. However, training in industrial institutes and vocational secondary schools is less cost-effective than more informal firm-based training, at least in Kenya, India and Israel. Also, Latin American data indicate that there may be substitutability between schooling and formal institutional vocational training. Second, in some sectors a more labour-intensive method of production is economically more efficient than current methods. Third, sophisticated production function analyses are plagued by statistical and measurement problems. Training can be evaluated using earnings data or output and input data. In all cases there are technical problems. In the face of such problems with earnings data a simpler before/after plant level study of changes in inputs or output associated with training may offer the most tractable evaluation method.
A first order adaptive learning rate algorithm for backpropagation networks

A simple method for determining the learning rate parameter of the backpropagation algorithm is described and analyzed. The learning rate parameter is determined at each step of the iteration by attempting to find a double root of the quadratic cost function. This is opposed to the traditional approach of viewing learning as an optimization problem. It is shown that this method of determining the learning rate parameter leads to accelerated convergence for several benchmark cases. <<ETX>>
Implementation and evaluation of the P2P-Web system

Peer-to-peer (P2P) services, such as Gnutella, Groove [http:www.clip2. com/GnutellaProtocol04.pdf], and Freenet [http://freenet.sourceforge. com], have become popular for sharing files, information, and contents. For ordinary users, however, it can be difficult to utilize P2P-software, because need to install the software, set parameters, and share information. We thus proposed a P2P service model, that only requires user terminals to have a Web browser, and we previously described the key technologies for developing P2P-Web collaboration, including the software architecture, agent functions, and applications [S.Kimura et al., June 2002]. We have since implemented a P2P-Web system to enable collaboration among databases. In this paper, we describe the system architecture and evaluate the performance and usability of the system through an experiment.