Miracle-dz/UniFAR-FTUs huggingface dataset:
Ground Based Operations Support By Artificial Intelligence

The increasing number and sustained duration of future manned or unmanned space missions, the growing complexity of spacecraft, the increasing variety of payloads and the demand for maximum economic efficiency of space operations will lead to the evolution of large-scale ground based operations infra­ structures of increasing complexity and sophistication. In order to enhance the manageability and safety of operations under these aspects and to limit the amount of highly skilled personnel required, thereby supporting an early economic attractivity of space, the utilization of Artificial Intelligence (AI) as support for ground based operations appears to be a promising method which has received growing attention in recent years. However, the integration of AI-systems into a complex ground based operations infra­ structure, their interaction with large databases, simulation facilities, decision centres and other information sources as well as the need to generate, verify and maintain very large knowledge-bases pose technological challenges which lie less in the traditional conceptional area of reasoning than in the realm of management of Artificial Intelli­ gence, and which need to be identified and solved as early as possible. In this paper, after an outline of the main areas of ground based operations support by AI, also these questions of the management of large distributed AI-systems within a complex communication environment are there­ fore addressed and required technology developments indicated which comprise in particular the direct or indirect utilization of databases and simulation facilities as knowledge sources for large AI-systems.
Quick and easy preparation method for decoctions of kampo formula (part 3): Extraction efficiency of the IPCD method for volatile compounds

The immersing powdered crude drugs (IPCD) method was developed as a quick, easy and high‐yield way to prepare decoctions. IPCD may be very useful for decoctions of crude drugs containing volatile compounds because it does not involve boiling. The aim of this study was therefore to test this hypothesis using cinnamon bark (the bark of the trunk of Cinnamomum cassia) and perilla herb (the leaves and the tips of the branches of Perilla frutescens var. acuta).
Processing of natural sounds and scenes in the human brain

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Real-Time Evolution of iAnt Robot Foraging Strategies

Central-place foraging is a canonical task in swarm robotics. For this task, robots are programmed to search an area for resources and aggregate these resources at a central location. Foraging can be instantiated in a number of real-world applications, such as hazardous waste clean-up, search and rescue, and in-situ resource utilization. We extend our prior work by using coevolutionary methods to evolve iAnt robot swarm foraging strategies in real robots and in real time. Each robot maintains a private agent-based simulation, which models the physical environment according to the robot’s own approximation of the realworld resource distribution. The robot uses a private genetic algorithm (GA) to evolve parameters for a central-place foraging algorithm (CPFA) which maximize the foraging success of the simulated agents; it then employs these evolved parameters as a foraging strategy in the real world. In addition to evolving individual foraging strategies, the entire swarm executes a distributed GA to evolve a population of resource distribution approximations that is shared across all robots. In this way, coevolution evolves both the foraging strategy and the resource distribution approximation for each robot. Over time, this allows the swarm to adapt its behavior to previously unknown environments.
The Frequency of Fibromyalgia Syndrome and the Quality of Life in Patients with Peritoneal Dialysis

,b>Objective: The aim of this study was to determine the frequency of fibromyalgia (FM) in patients on Peritoneal Dialysis (PD) and to investigate its impact on the quality of life of that population. Methods: A hundred and twenty four patients with end stage renal disease who had undergone PD, and a control group of 54 age and sex-matched healthy volunteers were included to the study. Demographic characteristics including age, sex, disease and dialysis duration were recorded. Fibromyalgia Impact Questionnaire (FIQ) and Nottingham Health Profile (NHP) were also measured. Results: The mean age of the patients (68 female, 56 male) and control subjects (36 female, 18 male) were 43.5 ± 13.4 and 41.2 ± 9.2 years respectively. The prevalence of FM in the PD patients and controls were determined as 9.7% (12 patients) and 11.1% (6 controls) respectively and were found to be similar (p = 0.983). The mean score of sub- groups of NHP except pain and emotion subgroups, were significantly higher in PD patients than in the control group. The mean FIQ levels, the scores of all the subgroups of NHP except the social subgroup were significantly higher in PD patients with FM than in those without FM. Conclusion: In conclusion although the prevalence of FM appears to be similar in PD patients and control subjects, the functional disability is common and quality of life is worse in PD patients with FM than in patients without FM. Detection and treatment of FM may lead to improvement in the quality of life of PD patients with this syndrome.
Canvassing Ranking Algorithms

With the tremendous growth and increasing demand of information on web it has become quite necessary to satisfy the user demand, up to the level of his/ her expectation. User always expects to get the most relevant results, which, with such complex structure and varying queries becomes hard to provide for a Search Engine. Hence different Ranking algorithms are used in different Search Engines to deal with such problems. This paper deals with the web mining, web mining taxonomy and different ranking algorithms used to satisfy user’s demands in Information Retrieval. A comparative analysis of few algorithms like Page Rank Algorithm, HITS (Hypertext Induced Topic Selection algorithm), Weighted Page Rank algorithm, Distance Rank algorithm are given. Besides this some other proposed algorithms like Weighted Page Content Rank and Improvised Page Rank algorithm, Weighted Page Rank Algorithm Based on number of Visits of Links of Web Page and Weighted Page Rank algorithm using link attributes is also explained.
Automatic Spatial Annotation of Image Based on Object Recognition

The purpose of this paper is to improve automatic annotation efficiency and accuracy. The method is to identify objects in the image rather than comparing the whole image with another image. This can greatly improve the annotation accuracy. In order to obtain high efficiency of the algorithm, this paper uses color-shape index for similar matching. On the spatial semantics, this paper provides two kinds of spatial concepts: one is the location of the object relative to the image, the method is to divide the image into nine image location areas; another is the relative position between the objects, the method is to record the center of the object and outline. Standard Corel dataset and Caltech101 are used to test the accuracy and robustness of the proposed method. Experimental results show the proposed algorithm annotates images more accurately and efficiently than traditional algorithms.
A Linear Method for Trinocular Rectification

Rectification is a useful method to simplify stereoscopic matching. In this paper, a method for rectification of three independent views is proposed. Using more views improves matching accuracy but there is no linear rectification method for more than three cameras. This is the reason we concentrate on trinocular rectification. Through decomposition to projective and affine components, we obtain the rectifying homographies with a linear computational method. It is shown experimentally on real data that our algorithm performs the rectification task correctly.
Rule-based semantic web services matching strategy

With the development of Web services technology, the number of service increases rapidly, and it becomes a challenge task that how to efficiently discovery the services that exactly match the user's requirements from the large scale of services library. Many semantic Web services discovery technologies proposed by the recent literatures only focus on the keyword-based or primary semantic based service's matching. This paper studies the rules and rule reasoning based service matching algorithm in the background of large scale services library. Firstly, the formal descriptions of semantic web services and service matching is presented. The services' matching are divided into four levels: Exact, Plugin, Subsume and Fail and their formal descriptions are also presented. Then, the service matching is regarded as rule-based reasoning issues. A set of match rules are firstly given and the related services set is retrieved from services ontology base through rule-based reasoning, and their matching levels are determined by distinguishing the relationships between service's I/O and user's request I/O. Finally, the experiment based on two services sets show that the proposed services matching strategy can easily implement the smart service discovery and obtains the high service discovery efficiency in comparison with the traditional global traversal strategy.
Hepatitis C Virus Molecular Biology, In vivo/In vitro Model Systems and Current Trends of Therapies: A Brief Review

Hepatitis C virus (HCV) infection is a global health concern affecting approximately 170 million people worldwide, and can lead to liver fibrosis and hepatocellular carcinoma. One of the top priorities in HCV infection should be development of effective therapies, by developing antiviral compounds for infected patients. Many small animal models have been used to understand the replication cycle of HCV, and to discover novel antiviral drugs against HCV infection. Nowadays, these animals are serving as powerful tools for better understanding of HCV infection. Recently, many in vitro models are being used to improve antiviral drugs against HCV, and have lead to the development of many novel antiviral compounds, thus decreasing the HCV cases worldwide. To date, there is no vaccine available due to high strain variation, and current approved treatment for HCV is pegylated interferon α (PEG-INF α), in combination with ribavirin and Boceprevir/Telaprevir. This review briefly summarizes HCV infection, its molecular biology, role of HCV viral proteins in HCV infection, HCV life cycle, in vivo/in vitro model systems and current trends of therapies against it.
Barriers and facilitators of participation in intervention research by mental health occupational therapists

Statement of context Occupational therapists in clinical practice are required to deliver interventions within clinical trials to demonstrate the effectiveness of occupational therapy interventions. Challenges to participation in intervention research by occupational therapists working in community mental health have been identified and require further investigation. Critical reflection on practice A cross-sectional online survey of occupational therapists working in mental health was used, and obtained a 50% (n = 144) response rate. Limited time, large generic caseloads, and lack of skills and experience in research were identified barriers to participation in occupational therapy intervention research. Occupational therapists had limited dedicated time to carry out occupational therapy interventions and outcome measurement was limited. Implications for practice Occupational therapy roles need to be regained in adult community mental health alongside routine outcome measurement. This will enable occupational therapy interventions to contribute to community mental health services and support participation in clinical trials of occupational therapy interventions.
Semantic repository and ontology mapping

This document discusses the core Semantic Technologies in DynaLearn: i) The semantic repository, which supports the online storage and access of qualitative reasoning models, ii) the grounding process, which establishes semantic equivalences between the concepts in the models and the concepts in a background knowledge source, and iii) the use of ontology matching techniques for discovering similarities between the grounded models, in order to support knowledge-based feedback during the modelling process. The work described in this document constitutes the core of WP4. This follows the previous work done in WP2 (technical design and architecture) and it is in close relation with WP3 (workbench for conceptual modelling), which handles the interaction with the final user.
Desarrollo de metodologías y herramientas software y hardware de bajo coste para la integración de sensores en geomática

La descripcion geometrica ha estado siempre presente entre las labores a realizar en el analisis de un yacimiento arqueologico. Sin embargo, la conservacion de los elementos que componen el yacimiento exige de tecnicas no invasivas que permitan el mismo o mayor grado de precision alcanzable mediante las tecnicas topograficas y de delineacion tradicionales. En este marco, las tecnicas de modelizacion tridimensional mediante fotogrametria y laser escaner aparecen como una solucion ideal. Avanzando mas en esta idea, en esta Tesis Doctoral se ha demostrado como la integracion de las diferentes tecnicas disponibles (fotogrametria terrestre y aerea, y laser escaner terrestre) mejoran el resultado obtenido por cada una de ellas independientemente, siendo, por tanto, herramientas complementarias. Se comprueba que es posible obtener productos geomaticos de alta precision minimizando a la vez los costes asociados y como es posible realizar la divulgacion de estos productos para una gran variedad de publico, permitiendo la interaccion con los mismos desde incluso dispositivos portatiles como smartphones. Igualmente, se ha mostrado como mediante el empleo de sistemas de informacion geograficos tridimensionales (GIS3D), la informacion obtenida por tecnicas tradicionales, como pueden ser los croquis del yacimiento, es integrable con los productos geomaticos generados, y como esta integracion aumenta la capacidad de analisis, por ejemplo mediante el analisis multi-temporal. Finalmente, se muestra tambien como los productos geomaticos de alta precision obtenidos constituyen una fuente de informacion adecuada para el analisis de elementos de mayor detalle, presentes en yacimientos arqueologicos, como pinturas o grabados en roca. De esta manera, se analiza, cualitativa y cuantitativamente, como la realizacion de un analisis combinado de informacion geometrica y radiometrica supone una ventaja frente al habitual empleo de informacion unicamente radiometrica. Se ha podido comprobar la versatilidad que supone esta combinacion de informacion en el analisis de abrigos rupestres tanto a nivel global, el propio yacimiento, como a nivel local, las pinturas. Las metodologias derivadas de las lineas de investigacion abordadas en esta Tesis Doctoral se han validado en una variedad de yacimientos que presentan una diversidad tanto geografica como temporal, abarcando periodos desde la prehistoria hasta la Edad Media.
Sequential Decision Making in Decentralized Systems

Sequential Decision Making in Decentralized Systems by Ashutosh Nayyar Chair: Demosthenis Teneketzis We study sequential decision making problems in cooperative systems where different agents with different information want to achieve a common objective. The sequential nature of the decision problem implies that all decisions can be arranged in a sequence such that the information available to make the t decision only depends on preceding decisions. Markov decision theory provides tools for addressing sequential decision making problems with classical information structures. In this thesis, we introduce a new approach for decision making problems with non-classical information structures. This approach relies on the idea of common information between decision-makers. Intuitively, common information consists of past observations and decisions that are commonly known to the current and future decision makers. We show that a common information based approach can allow us to discover new structural results of optimal decision strategies and provide a sequential decomposition of the decision-making problems. We first demonstrate this approach on two specific instances of sequential problems, namely, a real-time multi-terminal communication system and a decentralized control system with delayed sharing of information. We then show that the common information methodology applies more generally to any
Comparison of software programs for data analysis of complex surveys

OBJETIVO: Comparar "softwares" especificos para analise de dados de levantamentos amostrais complexos, em relacao as caracteristicas: facilidade de aplicacao, eficiencia computacional e exatidao dos resultados. METODOS: Utilizaram-se dados secundarios da Pesquisa Nacional sobre Demografia e Saude, de 1996, cuja populacao-alvo foram as mulheres de 15 a 49 anos de idade, pertencentes a uma subamostra probabilistica selecionada em dois estagios, estratificada, com probabilidade proporcional ao tamanho no primeiro estagio. Foram selecionadas da subamostra as regioes Norte e Centro-oeste do Pais. Os parâmetros analisados foram: a media, para a variavel idade, e a proporcao, para cinco outras variaveis qualitativas, utilizando os "softwares" Epi Info, Stata e WesVarPC. RESULTADOS: Os programas apresentam duas opcoes em comum para importacao de arquivos: o dBASE e arquivos tipo texto. O numero de passos anteriores a execucao das analises foram 21, 11 e 9, respectivamente para o Epi Info, Stata e WesVarPC. A eficiencia computacional foi alta em todos eles, inferior a tres segundos. Os erros padrao estimados utilizando-se o Epi Info e o Stata foram os mesmos, com aproximacao ate a terceira casa decimal; os do WesVarPC foram, em geral, superiores. CONCLUSOES: O Epi Info e o mais limitado em termos das analises disponiveis, porem ele e simples de usar e gratuito. O Stata e o WesVarPC sao bem mais completos nos recursos de analises, porem ha a desvantagem do custo. A escolha do programa dependera principalmente das necessidades especificas do usuario.
Rapid Interpretation of EKG's.

As an introduction to electrocardiography, this paperbacked "programmed" course will probably appeal most to paramedical and coronary care unit personnel. The approach is elemental and overly simplistic; the serious student will desire more depth and detail. There is minimal written text, the major portion of the book being comprised of large half tone, predominantly schematic illustrations, supplemented by brief legends and "fill-in-the-blank," programmed statements. Simplification results in taking considerable liberty with fundamental electrophysiologic concepts and in the incorporation of errors. These include the derivation of the augmented limb leads, the genesis of Q waves in infarction and bundle block, and incorrect identification of 4:1 AV block as 3:1, to mention a few. To most physicians desiring an introduction to electrocardiography, this book will prove far too elemental and cannot be recommended. It may serve some advantage in instructing nursing and monitoring personnel, although many better texts are available which
Synchronous primary lung cancers in a 51-year-old woman - a case report and literature review

Synchronous primary lung cancers are two primary lung cancers diagnosed at the same time in one patient. The authors report the case of a 51-year-old woman who incidentally discovered tumors in both lungs. The patient underwent cytological diagnosis and PET-CT. There was no radiological evidence of lymph node involvement. On the left side, segmentectomy I was performed (large cell carcinoma), on the right side, upper lobectomy was performed (two foci of adenocarcinoma), and lymphadenectomy was performed on both sides – there was no histopathological evidence of mediastinal lymph node involvement. In view of the obtained results, the patient was diagnosed with synchronous primary lung cancers. Subsequently, the authors conducted a systematic review of the literature on synchronous primary lung cancers published in the last decade. They point out that the classification of synchronous primary lung cancers still remains an open issue, as it is not taken into consideration by the current TNM classification (7 th edition).
OM-2017: Proceedings of the Twelfth International Workshop on Ontology Matching

Ontology matching is a key interoperability enabler for the semantic web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.
Graph and Model Transformation: General Framework and Applications

This book is a comprehensive explanation of graph and model transformation. It contains a detailed introduction, including basic results and applications of the algebraic theory of graph transformations, and references to the historical context. Then in the main part the book contains detailed chapters on M-adhesive categories, M-adhesive transformation systems, and multi-amalgamated transformations, and model transformation based on triple graph grammars. In the final part of the book the authors examine application of the techniques in various domains, including chapters on case studies and tool support. The book will be of interest to researchers and practitioners in the areas of theoretical computer science, software engineering, concurrent and distributed systems, and visual modelling.
Generalization ability of artificial neural network using Fahlman and Lebiere's learning algorithm

The authors investigate the generalization ability of the network generated by S.E. Fahlman and C. Lebiere's (FL) (1990) learning algorithm which has a distinctive feature to build any network topology. They trained the same three-layer network by the FL algorithm and the backpropagation (BP) algorithm, and a comparison of recognition abilities shows that the FL network performs much better than the BP network. The FL network performs better because, in this network, hidden units use only saturated values and thus the hidden layer acts as a filter for noise. A two-layer network performs excellently if the training set is trainable by the two-layer network and if a pattern is recognized by detecting the maximum valued output. Since the FL algorithm begins with a minimal two-layer network which performs best under the condition stated, a designer can construct either a two-layer or a multilayer network according to which one best fits a particular application. Thus, it can be concluded that in all these respects the FL algorithm is preferable to the BP algorithm. <<ETX>>