Upfront: A Way of Life on Barataria Boulevard

Leco examines the culture of the West Bank of New Orleans and her Sicilian, Filipino, and Cajun French heritage. Opening with a detailed ethnographic description of a typical scene in the West Bank Walmart parking lot, Leco frames her thoughts about her hometown of Marrero, Louisiana. In conversations with her parents, Leco learns about her family’s immigration stories, occupations, and foodways. Leco’s paternal great-grandfather was a first generation Filipino-American who lived and worked in Manila Village, a Filipino fishing community on an island in Barataria Bay. Leco then describes her religious upbringing, the Immaculate Conception Parish community, and the cultural traditions of the feast of Saint Joseph.https://scholarworks.uno.edu/inheritances/1000/thumbnail.jp

Sistemas agrarios tradicionales, medio ambiente y desarrollo sostenible: la dehesa como hecho geográfico y cultural

Los sistemas agrarios extensivos, sobre todo los ganaderos, se encuentran actualmente en un momento de cambio vinculado no sólo a los esquemas tradicionales de explotación, sino también a las nuevas funciones que deben asumir en materia de multifuncionalidad económica y, a su vez, ambiental. En este artículo sus autores plantean pormenorizadamente la situación actual de estos agrosistemas desde un punto de vista integrado y global dentro de un marco más amplio como lo es la ordenación de los territorios rurales.The extensive agrarian systems –and, above all, the cattle raisers– are presently found in a moment of change linked not only to the plans of traditional exploitation but also to the new functions that should be assumed in terms of economic and, at the same time, environmental multifunctionality. In this article its authors introduce, in detail, the present situation of these farming ecosystems from an integrated and global point of view, within a bigger framework such as the ordering of the rural territories

A multi-step learning approach for in-process monitoring of depth-of-cuts in robotic countersinking operations

Robotic machining is a relatively new and promising technology that aims to substitute the conventional approach of Computer Numeric Control machine tools. Due to the low positional accuracy and variable stiffness of the industrial robots, the machining operations performed by robotic systems are subject to variations in the quality of the finished product. The main focus of this work is to provide a means of improving the performance of a robotic machining process by the use of in-process monitoring of key process variables that directly influence the quality of the machined part. To this end, an intelligent monitoring system is designed, which uses sensor signals collected during machining to predict the amount of errors that the robotic system introduces into the manufacturing process in terms of imperfections of the finished product. A multi-step learning procedure that allows training of process models to take place during normal operation of the process is proposed. Moreover, applying an iterative probabilistic approach, these models are able to estimate, given the current training dataset, whether the prediction is likely to be correct and further training data is requested if necessary. The proposed monitoring system was tested in a robotic countersinking experiment for the in-process prediction of the countersink depth-of-cut and the results showed good ability of the models to provide accurate and reliable predictions

Geographical research in the University of Extremadura

Sin resume

El envejecimiento del empresariado agrario en Extremadura. Una aproximación mediante el análisis de componentes principales

Actually, the strong ageing of agrarian business in Extremadura suppose an importait lost in the laboral market in rural world, but this aspect is diferent for the diversus extremenian landscape. This situation has produced différents solutions to minimize this problem, some measures has been taken to incentive the abandonment of prodution for oldest business and to possibilité the young people's incoporation to agrarian sector.El fuerte envejecimiento actual del empresariado agrario en Extremadura supone, entre otras cosas, una importante pérdida de fuerza laboral en el mundo rural; aspecto que muestra claras diferencias dentro de los paisajes agrarios extremeños. Ante esta situación y para atenuar esta grave situación, se han instrumentado diversas medidas para incentivar el abandono de la producción de aquellos empresarios más envejecidos y posibilitar la incorporación de los jóvenes al sector agrario

Social demand in ambulatory oral surgery. Experience in the Master of Oral Surgery of Madrid Complutense University (Spain)

Objectives. An evaluation is made of the surgical activity in the context of the Master of Oral Surgery (Madrid Complutense University, Madrid, Spain), together with an analysis of social demand in ambulatory oral surgery. Study design. A descriptive statistical analysis (frequency and contingency tables) is made of the different parameters relating to the activity carried out in this postgraduate master during two academic years. Results. A total of 6750 interventions were carried out in 5877 patients. Females predominated over males (62% versus 38%), and 59.2% of the subjects were in the 21-40 years age range. The most common procedure was tooth extraction (91%); of these, 83.5% corresponded to molars. Other extractions accounted for 5.5%, while impacted canines represented 1.2% of the interventions, cyst removal 1.2%, and periapical surgery 0.5%. Conclusions. Our results show third molar extraction to be the most commonly demanded intervention in ambulatory oral surgery

Metaanalysis of the epidemiology and clinical manifestations of odontomas

Objective: To evaluate the epidemiological and clinical aspects of the different types of odontomas. Study design: A metaanalysis was made of 3065 odontomas obtained from a literature review of 30 articles published in recent years. Results: Odontomas show no gender predilection, and are most often diagnosed in the second decade of life. They are preferentially located in the upper maxilla, particularly in the anterior sector. Compound odontomas are more prevalent than complex odontoma, and show no predilection in terms of patient gender, age or location. Most such lesions are asymptomatic and constitute casual findings in X-ray studies indicated for other reasons. The most common clinical manifestations are the retention of permanent teeth and the presence of a tumor. Treatment consists of surgical removal of the lesion. The prognosis is very good, with a scant tendency towards relapse. Conclusions: Odontomas are the most common odontogenic tumors. Their most significant characteristics comprise alterations in tooth eruption, and the diagnosis is casually established in the course of routine X-ray studies

Clinical and radiological course in apicoectomies with the Erbium : YAG LASER

Objective. A study is made of the efficacy of the Erbium:YAG laser in granulomatous periapical lesions, based on clinical and radiographic controls. Material and methods. The study comprised a series of 45 patients amenable to periapical surgical treatment of incisors, canines and premolars. A conventional surgical technique was used, with silver amalgam retrograde filling and irradiation of the bone defect and remnant root cement with the Erbium:YAG laser. Clinical and radiographic controls were made during 24 months, assessing the absence of symptoms and the presence of pain, swelling or fistula and ossification of the lesions, respectively. Results. The clinical course proved asymptomatic in 95.5% of the cases. As regards remodeling of the bone cavity, 77.7% had completed ossification after 24 months, 13.3% were in an advanced stage of ossification and 4.5% in an intermediate stage, while 4.5% showed treatment failure. Conclusions. The combination of silver amalgam and irradiation with the Erbium:YAG laser in periapical surgery showed a very high clinical success rate, with a 77.7% bone cavity remodeling rate after 24 months

A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations

A typical manufacturing process consists of a machining (material removal) process followed by an inspection system for the quality checks. Usually these checks are performed at the end of the process and they may also involve removing the part to a dedicated inspection area. This paper presents an innovative perturbation signal based data generation and machine learning approach to build a robust process model with uncertainty quantification. The model is to map the in-process signal features collected during machining with the post-process quality results obtained upon inspection of the finished product. In particular, a probabilistic framework based on Gaussian Process Regression (GPR) is applied to build the process model that accurately and reliably predicts key process quality indicators. Raw data provided by multiple sensors including accelerometers, power transducers and acoustic emissions is first collected and then processed to extract a large number of signal features from both time and frequency domains. A strategy for the selection of most relevant features is also explored in this work in order to reduce the input space dimension and achieve faster training times. The proposed GPR model was tested on a multi-robot countersinking application for monitoring of the machined countersink depths in composite aircraft components. Experimental results showed that the model can be used as a tool to predict the part quality through in-process sensory information, which in turn, helps to reduce the total inspection time by identifying the parts that would require further investigation