Miracle-dz/UniFAR-FTUs huggingface dataset:
Arquitectura fractal de especialistas para robots móviles autónomos

El objetivo de esta tesis ha sido desarrollar una arquitectura de control para robots moviles autoonomos (RMAs), Estas arquitecturas plantean importantes retos, ya que los robots operan en entornos complejos, dinamicos e impredecibles a traves de sensores y actuadores imperfectos y, al mismo tiempo, deben planificar la consecucion de multples objetivos, a veces contradictorios entre si, sin dejar de ser autonomos ni operar en tiempo real. Se han analizado los paradigmas de control existentes en robotica movil y sus principales realizaciones. A falta de estudios exhaustivos sobre las propiedades que requiere e integracion de comportamientos, asi como a la flexibilidad y escabilidad, cualidades estas imprescindibles para un desarrollo modular de sistemas de control cada vez mas inteligentes y complejos. En vista de las limitaciones encontradas se han introducido un nuevo modelo d arquitectura basada en especialistas, es decir,modulos en donde se encapsulan las tareas estrechamente ligadas entre si, junto con sus datos y su control. Para lograr mas regularidad, los especialistas se implementan mediante una arquitectura basada en pizarra. Sin embargo, como cada agente de un especialista puede ser, a su vez, un especialista, la arquitectura se va replicando en distintos niveles, razon por la cual se la ha denominado Arquitectura Fractal de Especialistas (AFE). La particularizacion de AFE a la robotica movil da lugara AFE-Robotica. Para probar la utilidad y viabilidad de AFE-Robotica se ha aplicado a una tarea concreta y se ha implementado "completa", desde los algoritmos de percepcion hasta los comportamientos de mas bajo nivel pasado por todas las funciones de control. Se ha elegido la tarea de navegacion de un robot movil comercial Nomad 200 en interiores porque es fundamental para la operatividad de un RMA y aun no esta bien resuelta en entornosno estructurados, dinamicos, relativamente amplios y no totalmente predecible
Osteonecrosis associated with dental implants in patients undergoing bisphosphonate treatment.

OBJECTIVES Bisphosphonate-related jaw necrosis (BRONJ) associated with dental implants is a rare but continuously reported complication. To verify clinical and pathological characteristics of BRONJ around dental implants, the present study analyzed clinical, radiographic and histopathological findings of these lesions. PATIENTS AND METHODS Nineteen patients were diagnosed with osteonecrosis of the jaw associated with dental implants and treated at our institute from 2008 to 2011. The patients' medical history, demographic features, radiographic, and histopathological findings along with information on bisphosphonates (BP) administration were analyzed. RESULTS The majority of BRONJ patients associated with dental implants used oral BP for osteoporosis. The patients were divided into two groups: BP initiation before (n = 16) and after (n = 3) implant surgery. Only three patients (15.8%) could be regarded as "implant surgery-triggered" BRONJ. Many patients (n = 9) showed successful osteointegration after fixture installation to an average of 35 months (11-82 months) until the development of osteonecrosis. The histological features of the lesion showed that the necrotic bone with empty lacunae was infiltrated by inflammatory cells and bacterial colonies. Viable osteocytes were also observed in some areas of the bony specimens. Three types of bone destruction pattern were observed: (i) complete necrosis of the bone around the implant (frozen type), (ii) extensive osteolysis around the implant with or without sequestra (osteolytic type), and (iii) sequestration of bone with an implant maintaining direct implant-bone contact (en block sequestration type). These findings could be existed at the same lesions depending on the degree of local bone destruction and the severity of the infection. CONCLUSION These results and those of others suggested that already osseointegrated dental implants can also cause the osteonecrosis around the implant after BP administration. En block sequestration of bone with implant might be one of the characteristics of implant-related BRONJ, which is different from peri-implantitis-induced bone destruction. The possible role of microcracks in this type of bone destruction needs to be examined further.
‘Cosmeceuticals’. Of men, science and laws…

Through the hybrid term ‘Cosmeceuticals’, the present paper aims at reviewing some scientific and legal sources of ambiguities or uncertainties that, in many regulatory cases, added confusions to the respective roles of drugs and cosmetics. The origins of such questions, likely arose from new anti‐ageing claims from the cosmetic industry in the late 80s which faced a rather old regulatory backdrop. Based on the analysis of some legal statements and scientific facts from a 2012 vision, this review tentatively aims at re‐defining the respective roles of these two branches that both fill the two vital needs of humans, ‘being’ and ‘well‐being’.
Relationship between salivary mucin or amylase and the periodontal status.

OBJECTIVE Here we determine the relationship between salivary levels of mucin and amylase and the clinical parameters of periodontal disease before and after periodontal treatment. SUBJECTS Ninety two subjects were clinically examined and distributed into four groups namely clinically healthy, mild, moderate and severe periodontitis, according to the periodontal status, classified according the values of clinical attachment level (CAL) and probing pocket depth (PPD). Unstimulated saliva was collected for 5 min. Salivary proteins, amylase and mucin were determined by colorimetric methods. RESULTS A significant positive correlation (P < 0.0001) was observed between salivary mucin, amylase or protein and PPD or CAL before periodontal treatment while flow rate showed a negative correlation. Mucin and amylase output also showed a positive correlation with PPD or CAL. After treatment, the improvement of clinical parameters was accompanied by a diminution of salivary mucin, amylase or protein concentration and output in moderate and severe group. CONCLUSIONS The increment of mucin and amylase output in relation to periodontal status indicates that salivary glands respond to the disease by increasing the protective potential of saliva when necessary and return to the normal rate of secretion after the resolution of the inflammatory process.
The Emerging Role for Zinc in Depression and Psychosis

Zinc participation is essential for all physiological systems, including neural functioning, where it participates in a myriad of cellular processes. Converging clinical, molecular, and genetic discoveries illuminate key roles for zinc homeostasis in association with clinical depression and psychosis which are not yet well appreciated at the clinical interface. Intracellular deficiency may arise from low circulating zinc levels due to dietary insufficiency, or impaired absorption from aging or medical conditions, including alcoholism. A host of medications commonly administered to psychiatric patients, including anticonvulsants, oral medications for diabetes, hormones, antacids, anti-inflammatories and others also impact zinc absorption. Furthermore, inefficient genetic variants in zinc transporter molecules that transport the ion across cellular membranes impede its action even when circulating zinc concentrations is in the normal range. Well powered clinical studies have shown beneficial effects of supplemental zinc in depression and it important to pursue research using zinc as a potential therapeutic option for psychosis as well. Meta-analyses support the adjunctive use of zinc in major depression and a single study now supports zinc for psychotic symptoms. This manuscript reviews the biochemistry and bench top evidence on putative molecular mechanisms of zinc as a psychiatric treatment.
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry

In the current era, an increasing number of machine learning models is generated for the automation of industrial processes. To that end, machine learning models are trained using historical data of each single asset leading to the development of asset-based models. To elevate machine learning models to a higher level of learning capability, domain adaptation has opened the door for extracting relevant patterns from several assets combined together. In this research we are focusing on translating the specific asset-based historical data (source domain) into data corresponding to one reference asset (target domain), leading to the creation of a multi-assets global dataset required for training domain invariant generic machine learning models. This research is conducted to apply domain adaptation to the ironmaking industry, and particularly for the creation of a domain invariant dataset by gathering data from different blast furnaces. The blast furnace data is characterized by multivariate time series. Domain adaptation for multivariate time series data hasn't been covered extensively in the literature. We propose MTS-CycleGAN, an algorithm for Multivariate Time Series data based on CycleGAN. To the best of our knowledge, this is the first time CycleGAN is applied on multivariate time series data. Our contribution is the integration in the CycleGAN architecture of a Long Short-Term Memory (LSTM)-based AutoEncoder (AE) for the generator and a stacked LSTM-based discriminator, together with dedicated extended features extraction mechanisms. MTS-CycleGAN is validated using two artificial datasets embedding the complex temporal relations between variables reflecting the blast furnace process. MTS-CycleGAN is successfully learning the mapping between both artificial multivariate time series datasets, allowing an efficient translation from a source to a target artificial blast furnace dataset.
Trajectory based soccer ball detection and tracking

- Video segmentation is an application of computer vision aimed at automating the extraction of an object from a series of video frames. However, it is a difficult problem, especially to compute at real-time, interactive rates. Although general application to video is difficult because of the high range of image scenarios, user interaction can help to reduce the problem space and speed up the computation. This paper provides new method to detect the ball position by creating and analyzing the trajectory. It is very challenging to detect and track the ball from the broadcast soccer video. Candidate collection by use of the heuristic false candidate reduction, the Kalman filter based trajectory mining, and the trajectory evaluation is used to obtain the trajectory of ball.
Mechanical ventilation for ischemic stroke and intracerebral hemorrhage

Objective: To compare the incidence, indication, and timing of intubation and outcome in patients with cerebral infarction (ISCH) and intracerebral hemorrhage(HEM) requiring mechanical ventilation (MV). Background: Poor outcomes have been reported for ISCH patients requiring MV. Because the target population, pathophysiology, and management of ISCH and HEM patients differ considerably, we compared the characteristics of patients with ISCH and HEM who required MV. Methods: A retrospective review of ISCH and HEM stroke patients who underwent MV at a tertiary care academic center from 1994 to 1997 was performed to determine age, sex, type, and location of stroke (anterior or posterior circulation); brainstem dysfunction at intubation (pupillary, corneal, and oculocephalic reflexes); indication for intubation (neurologic deterioration, cardiopulmonary deterioration, or elective intubation for surgery); timing of intubation (on presentation or later); comorbidities; and outcome (hospital disposition). Results: A total of 230 patients, 74 with ISCH and 156 with HEM (mean age, 61± 16 years; male-to-female ratio, 1.15:1), underwent MV. Intubation rates were 6% for ISCH patients and 30% for HEM patients. Two-thirds of the patients required intubation on presentation (84% were intubated for neurologic deterioration) and 131 patients (57%) died (ISCH, 55%; HEM, 58%). Signs of brainstem dysfunction predicted a higher mortality for both groups. Additionally, early intubation and older age predicted mortality for HEM, and male gender predicted mortality in ISCH. Stroke location and comorbidities did not influence outcome. Conclusions: MV in acute stroke is associated with high mortality. Mortality and outcome were similar for ISCH and HEM; however, the factors predictive of outcome may differ and influence decisions about the use of MV in such patients.
Microgrids: Hierarchical Control and an Overview of the Control and Reserve Management Strategies

The increasing share of distributed generation (DG) units in electrical power systems has a significant impact on the operation of the distribution networks, which are increasingly being confronted with congestion and voltage problems. This demands a coordinated approach for integrating DG in the network, allowing the DG units to actively contribute to frequency and voltage regulation. Microgrids can provide such coordination by aggregating DG, (controllable) loads, and storage in small-scale networks, which can operate in both grid-connected and islanded mode. In this article, the islanded operating condition is considered. As in the conventional networks, a hierarchical control structure can be implemented in islanded microgrids. In recent years, many different concepts for primary, secondary, and tertiary control of microgrids have been investigated. These controllers can be classified as either local or centralized. In this article, the hierarchical control for application in microgrids is discussed, and an overview of the control strategies is given with respect to the reserve provision by the DG units, loads, and storage equipment.
Algoritmos para la clasificación multiinstancia

Dentro del campo de estudio del aprendizaje automatico, la clasificacion multinstancia tiene como objetivo construir, a partir de un conjunto de ejemplos, un modelo matematico que permita clasificar objetos descritos por multiples vectores de atributos. En la tesis se realiza una profunda revision bibliografica que contribuye a organizar la literatura dispersa y sistematizar el conocimiento existente sobre clasificacion multinstancia, y se proponen dos soluciones para sendos problemas identificados en el campo de la clasificacion multinstancia. Uno de los problemas identificados es el problema de las clases desbalanceadas, el cual ocurre cuando hay mucha diferencia en el tamano de las clases y provoca que el modelo de aprendizaje inducido a partir de los datos no represente adecuadamente el concepto que se pretende aprender y consecuentemente incurra en muchos errores de clasificacion. En la tesis se propone un nuevo metodo general basado en tecnicas de muestreo para enfrentar este problema en la clasificacion multinstancia. El algoritmo propuesto, bautizado como MISMOTE, consiste a groso modo en modificar la distribucion de los datos de entrenamiento, insertando ejemplos sinteticos de objetos multinstancia en la clase minoritaria, para equilibrar el balance de las clases. Las pruebas experimentales validadas por metodos estadisticos mostraron que la solucion propuesta mejora significativamente la calidad de la clasificacion y es competitiva con otras soluciones existentes en la literatura. El otro problema identificado es que aun no han sido adaptados al enfoque del aprendizaje multinstancia algunos algoritmos de clasificacion tradicionales orientados especificamente a determinados dominios de aplicacion. En la tesis se propone un nuevo algoritmo de clasificacion multinstancia que permite aplicar el clasificador de Rocchio en el escenario multinstancia. El clasificador de Rocchio es muy usado para la recuperacion y clasificacion de documentos textuales en aplicaciones on-line. El algoritmo propuesto, bautizado como MIRocchio, implementa una nueva hipotesis multinstancia introducida en la tesis, la cual esta basada en proporcion de instancias positivas. La validez del algoritmo se comprueba experimentalmente en el problema de la recomendacion de paginas web indices, siendo capaz de mejorar el desempeno de los clasificadores multinstancia del estado del arte en este dominio de aplicacion.
Escherichia coli RecG and RecA proteins in R‐loop formation.

Escherichia coli rnhA mutants devoid of RNase HI exhibit constitutive stable DNA replication, cSDR, which is thought to be initiated from R‐loops stabilized in the absence of RNase HI. We found that a combination of an rnhA and a recG mutation is lethal to the cell. recG mutations that inactivate the helicase activity of RecG protein and inhibit reverse branch migration of Holliday junctions impart phenotypes resembling those of rnhA mutants. Thus, recG mutants display cSDR activity, and recG polA double mutants are inviable as are rnhA polA double mutants. These results suggest that the RecG helicase has a role in preventing R‐loop formation. A model that R‐loops are formed by assimilation of RNA transcripts into the duplex DNA is discussed. The model further postulates that RecA protein catalyzes this assimilation reaction and that RecG protein counteracts RecA in this reaction, resolves R‐loops by its helicase activity, or does both.
System-level design of continuous/discrete-time heterogeneous systems applied to high-speed serial link

Many existing and future systems are and will be composed by several significantly heterogeneous modules, including both continuous and discrete components. This broad class of systems includes analog/mixed-signal systems composed of RF, analog, analog-to-digital and digital-to-analog conversions, and recently, a large number of mixed-signal chips where at least part of the chip design needs to measure signals with high precision. Comparing with the digital circuits, these chips have very different design and process technology demands. This paper presents an approach for system-level design of continuous/discrete systems, focusing the role of the bottom-up iterations. The approach is applied to the design of a high-speed serial link.
A Research on Factors Influencing Online Education Users’ Continuance Usage Intention

With the rapid development of Internet and mobile Internet technology, and the popularization of intelligent terminal and high speed Internet service, online learning as a new educational mode gradually gains its popularity. The purpose of this paper is to study the influencing factors of users' continuance usage intention in online education platform. Based on the Expectation Confirmation Model (ECM) of information system and the Technology Acceptance Model (TAM), the theoretical model of the influencing factors of user's intention to use continuously is constructed. The SEM analysis method is used to verify the validity of the model. According to the results, users’ continuance intention model built demonstrates acceptable model fit, which indicates the assumed path relationship accords with the data collected. User satisfaction , perceived usefulness , perceived ease of use and social influence are factors directly influencing the users’ continuance usage intention . Keywords: Online education, User behavioral, Continuance usage intention, SEM
Results of three-dimensional conformal radiotherapy and thalidomide for advanced hepatocellular carcinoma.

PURPOSE To evaluate the effectiveness of three-dimensional conformal radiotherapy and thalidomide in the treatment of advanced hepatocellular carcinoma. METHODS Between 1999 and 2003, 121 patients (mean age, 54.4 +/- 12.4 years; range, 20-81 years) with advanced hepatocellular carcinoma received three-dimensional conformal radiotherapy and thalidomide. Radiation was delivered in 1.5 Gy fractions twice daily for 5 days a week, for a total dose of 45-75 Gy. Mean treatment volume was 429.52 +/- 408.50 cm(3) (range, 26.89-2284.82 cm(3)). Thalidomide was given concomitantly: 200 mg/day in 109 patients, 300 mg/day in 8 patients and 400 mg/day in 4 patients. Treatment responses, survival rates and factors affecting survival were analyzed. RESULTS Treatment responses were observed in 61% of the patients. Liver cirrhosis (P = 0.001) and tumor size (P = 0.001) significantly affected the tumor responses. Overall survival at 6, 12 and 24 months was 84.8, 60.0 and 44.6%, respectively. On univariate analysis, liver cirrhosis (P = 0.003), Karnofsky performance status (P = 0.007), tumor size (P < 0.001), portal vein tumor thrombosis (P < 0.001) and alpha-fetoprotein level (P = 0.003) were shown to significantly affect survival. On multivariate analysis, only thrombosis (P = 0.039) and alpha-fetoprotein level (P = 0.006) were shown to be factors affecting survival. CONCLUSIONS Three-dimensional conformal radiotherapy with thalidomide seems to be effective in the treatment of advanced hepatocellular carcinoma.
Sketching for Two-Stage Least Squares Estimation

When there is so much data that they become a computation burden, it is not uncommon to compute quantities of interest using a sketch of data of size $m$ instead of the full sample of size $n$. This paper investigates the implications for two-stage least squares (2SLS) estimation when the sketches are obtained by a computationally efficient method known as CountSketch. We obtain three results. First, we establish conditions under which given the full sample, a sketched 2SLS estimate can be arbitrarily close to the full-sample 2SLS estimate with high probability. Second, we give conditions under which the sketched 2SLS estimator converges in probability to the true parameter at a rate of $m^{-1/2}$ and is asymptotically normal. Third, we show that the asymptotic variance can be consistently estimated using the sketched sample and suggest methods for determining an inference-conscious sketch size $m$. The sketched 2SLS estimator is used to estimate returns to education.