One of the critical elements for successful environmental management is the active participation of residents in all wastewater management stages to ensure public acceptance. The primary purpose of this study is to identify and implement a process based on a structured questionnaire survey useful for analyzing the views and attitudes of the inhabitants of Leros Island, Greece. The questionnaire survey deals with issues related to (a) the implementation and operation of biological treatment, operating on Leros Island (b) their level of information on natural wastewater treatment systems and (c) finally their willingness to embrace such a possible application, to propose specific campaigns for similar cases. \nGender did not appear to have a statistical correlation with any questions. On the contrary, age showed a significant correlation in questions about acceptance. People over the age of 56 years are most likely to apply a natural wastewater treatment system in remote areas of the Leros island. There is an apparent lack of information on natural wastewater treatment systems for all respondents, and it turns out that high level of education does not necessarily mean better details of alternative wastewater treatment methods or greater acceptance of innovative wastewater treatment systems

We review the literature research on organization modelling and ontology development as an effort to evaluate organization data using a metric in relation to achieve the organization goal. We suggest that this metric is very important to evaluate the organization data in relation to the organization goal. In order to achieve this purpose, we develop a concept for organizing the literature based on the organization goal model. We present a summary of the past literature on the limitation of approach and issue, and then discuss findings of this literature categorized based on organization goal models, ontology models and metric models. Previous studies explored the adoption of various approaches on organization goal modelling. However, there is little research on developing the organization goal model based on ontology, particularly in evaluating the organization data. Based on this review, we suggest a conclusion relating to the development of the organization goal ontology, including gap, setting and approach.

Actualmente la Genética ocupa un papel central en la comprensión de los procesos biológicos. De manera recurrente los conocimientos genéticos auxilian a las disciplinas biológicas en la explicación de los fenómenos que ellas estudian. Al mismo tiempo la Genética se nutre de esas ramas para explicar la acción de los genes en los diferentes niveles de organización de la materia biológica. El presente trabajo tiene como objetivo defender una perspectiva más integradora en la enseñanza de la Genética al estudiar los caracteres mendelianos. Tradicionalmente, los “Principios Mendelianos de la Herencia” se imparten, en la asignatura Genética Clásica, con un enfoque absolutamente histórico. Sin embargo, hoy día, se conocen aspectos genético-moleculares de los caracteres mendelianos que, de ser incluidos en la impartición de este tema, contribuirían a una formación más integral de los especialistas. A través de ejemplos concretos se propone el modo de hacer factible el objetivo planteado. Esta ponencia fundamenta la necesidad de un enfoque sistémico que tribute, en la enseñanza de esta disciplina, a la representación más consecuente del papel de los genes en un contexto biológico estructurado en multiniveles de complejidad jerárquica. Así mismo, se enfatiza la necesidad de integrar conocimientos del nivel organismo con los de nivel celular y molecular, como herramienta imprescindible para el análisis genético moderno.

Origanum species are widely consumed herbs containing phenolic compounds. We examined the ability of the extracts (dichloromethanic, methanolic, aqueous) from Origanum dictamnus, Origanum scabrum and Origanum microphyllum of Greek origin, to modulate cell viability of MCF-7 and MDA (breast), Ishikawa (endometrial) and PC-3 (prostate) cancer cells, by use of MTT assay. Ishikawa, MDA and PC-3 cells showed no response to all Origanum extracts tested. The viability of MCF-7 cells showed a small but significant increase to methanolic extracts. Furthermore, we evaluated the potential of methanolic extracts (0.1-100μg/mL) to influence the activity of estrogen receptor (ER) in MCF-7 cells transfected with an estrogen response element (ERE)-driven luciferase (Luc) reporter gene. O. dictamnus and O. scabrum extracts (2-100μg/ml), in absence and in presence of 17β-estradiol (E2), reduced significantly the luciferase activity. O. microphyllum methanolic extract, when alone, increased the basal luciferase activity, whereas its coexistence with estradiol inhibited significantly the E2-stimulated gene induction. Concluding, the methanolic extracts of the three Origanum species modulate the cellular growth and estrogenic/antiestrogenic potency in MCF-7 cells.

In this paper a comparison study has been made between three different layouts for manufacturing self-actuating traction drive speed reducer proposed by Flugrad and Qamhiyah in 2005. The first layout represents the actual process layout used to manufacture that speed reducer by Abu Jadayil and Mohsen in 2010. The second and the third layouts are based on part assignments. The second layout was made so as to minimize the sum of voids and exceptions. Then it is modified to take into account processing times of different parts of that speed reducer. Twenty six parts and ten different manufacturing processes were used in the analysis. A third layout was made for two manufacturing cells only instead of three found as optimum in the second layout. A comparison between the second and the third layout shows that the second layout is the best layout according to minimum sum of voids and exceptions, while the third layout is the best according to maximum sum of processing times inside the formed manufacturing cells.

The health effects of the Opuntia ficus indica fruits are reported in the literature: protective actions against oxidation, cancer and cardiovascular troubles. But, few researches about the transformation of these nutritive fruits are available; we studied therefore the pulp characteristics and the processing of a local variety to produce nectars. \n The pulp had an average pH of 5.64, 13.47 °Brix, with total sugars (106 g L-1), K (1180 mg L-1), 503.3 µg L-1 of β carotene, 120 mg L-1 of total phenolic compounds, 4.9 mg and 46.9 mg L-1 respectively for betacyanins and betaxanthins and 243.4 mg L-1 of Vitamin C. The formulated nectars with 35% of pulp (N35) and 45% of pulp (N45) had respectively 14 and 15 °B. Minor components represent 1109 mg L-1 and 1112 mg L-1 of K for N35 and N45 respectively, lycopene 125.4 and 133.8 μg L-1, respectively, β carotene (318.6 μg and 362.8 μg L-1), and vitamin C 227 mg L-1 and 231 mg L-1. \n We confirmed the stability and acceptability of these beverages after a month of storage; and we suggest that the pulp processing is a new form of use to be applied at the agro industrial level.

As social networking has spread, people started to share their personal opinions and thoughts widely via these online platforms. The resulting vast valuable data represents a rich source for companies to deduct their products’ reputation from both social media and crowds’ judgements. To exploit this wealth of data, a framework that aims to collect reviews and rating scores respectively from social media and crowdsourcing platform to perform analysis, provide some insights about targeted products/services and give consumers’ tendencies. The sentence-level sentiment classification is a text classification problem based on sentiment analysis followed by subjective classification; so the extracted opinions can be divided into different sections: positive, negative and neutral. During the analysis process, a consumer category, known as strict (leaders), is usually excluded from the process of reaching a majority consensus. To separate their opinions from the majority, a fuzzy clustering is used to compute consumers’ credibility. The key novelty of our approach is adding a new layer of validity check using a crowdsourcing component that ensures that the results obtained from social media are actually supported by opinions extracted directly from real-life consumers. Considering the large amount of available data, our framework is built on top of the Hadoop MapReduce architecture which allows us to handle these data with efficiency. Finally, a set of experiments, where Twitter and Facebook are used as data sources, are carried out to validate this model. The obtained results show that our approach is efficient and more accurate compared to existing solutions mainly thanks to our two-layer validity check design.

This paper presents an initial investigation of secret raw key generation rates and maximum achievable distance for multi-photon three stage tolerant protocols. In this paper, coherent non-decoying quantum states are used to transfer the encoded bits from Alice to Bob. We calculated the optimum average number of photons at which the secret date rate is maximum and then calculated the maximum possible distance that can be achieved at these optimum values. It was found that for the three stage protocol under investigations that the maximum distance that can be achieved is around 200 km at a maximum number of photons of 12, above this the change to the maximum distance is insignificant