Lesson Plan, U.S. History, 11th grade

TEKS: 6A Analyze Causes and Effects of Events and Social issues such as immigration, eugenics, race relations, nativism, the Red Scare, prohibition, and the changing role of women. Lesson objective(s): 1. Changing Role of Women 2. The Twenties Woman Flapper 3. Amelia Earhart Differentiation strategies to meet diverse learner needs:+Power point Lecture +Visuals +video clips (to simplify what students process while learning

Exploring key operational factors for improving hydrogen production in a pilot-scale microbial electrolysis cell treating urban wastewater

Altres ajuts: acords transformatius de la UABBioelectrochemical systems (BES) are becoming popular technologies with a plethora of applications in the environmental field. However, research on the scale-up of these systems is scarce. To understand the limiting factors of hydrogen production in microbial electrolysis cell (MEC) at pilot-scale, a 135 L MEC was operated for six months under a wide range of operational conditions: applied potential [0.8-1.1 V], hydraulic residence time [1.1-3.9 d], and temperature [18-30 °C], using three types of wastewater; synthetic (900 mg CODs L−1), raw urban wastewater (200 mg CODs L−1) and urban wastewater amended with acetate (1000 mg CODs L−1). The synthetic wastewater yielded the maximum current density (1.23 A m−2) and hydrogen production (0.1 m3 m−3 d−1) ever reported in a pilot scale MEC, with a cathodic recovery of 70% and a coulombic efficiency of 27%. In contrast, the use of low COD urban wastewater limited the plant performance. Interestingly, it was possible to improve hydrogen production by reducing the hydraulic residence time, finding the optimal applied potential or increasing the temperature. Further, the pilot plant demonstrated a robust capacity to remove the organic matter present in the wastewater under different conditions, with removal efficiencies above 70%. This study shows improved results compared to similar MEC pilot plants treating domestic wastewater in terms of hydrogen production and treatment efficiency and also compares its performance against conventional activated sludge processes

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data collection cheaper, wide-reaching and less intrusive but created a need to process and analyse this data efficiently. Counting animals from such data is challenging, particularly when densely packed in noisy images. Attempting this manually is slow and expensive, while traditional computer vision methods are limited in their generalisability. Deep learning is the state-of-the-art method for many computer vision tasks, but it has yet to be properly explored to count animals. To this end, we employ deep learning, with a density-based regression approach, to count fish in low-resolution sonar images. We introduce a large dataset of sonar videos, deployed to record wild Lebranche mullet schools (Mugil liza), with a subset of 500 labelled images. We utilise abundant unlabelled data in a self-supervised task to improve the supervised counting task. For the first time in this context, by introducing uncertainty quantification, we improve model training and provide an accompanying measure of prediction uncertainty for more informed biological decision-making. Finally, we demonstrate the generalisability of our proposed counting framework through testing it on a recent benchmark dataset of high-resolution annotated underwater images from varying habitats (DeepFish). From experiments on both contrasting datasets, we demonstrate our network outperforms the few other deep learning models implemented for solving this task. By providing an open-source framework along with training data, our study puts forth an efficient deep learning template for crowd counting aquatic animals thereby contributing effective methods to assess natural populations from the ever-increasing visual data

Estructura y relleno sedimentario de la semifosa neógena de Vilanova (Garraf, Barcelona)

A joint study involving geological mapping, well subsurface data and gravity modelling has been carried out in the Vilanova half graben in order to define the substralum structure and the character of the sedimentary in fill.The half graben is oriented following a regional ENE-WSW fault direction. Its structure is controlled by normal faults along the NW boundary and by an unconformity in the SE basin boundary. A perpendicular to the main direction fault system, configurate a block shaped hasement. From the residual gravity map a 3D density model, constrained with the depths infered kom bore oles, has been obtained. The sedimentary infill has been divided in four litostratigraphic units. One of them constitutes a marginal complex associated and genetically related with the main faults that bound the basin. The otber three units show a vertical evolution from continental alluvial environrnent at the bottom to marine (littoral and restricted shelf-bay) at tbe top.The paleomastological data allow ps to attribute to the autcropping sedimentary infill a Serravallian age. Nevertheless, an Aquitanian-Early Burdigalian age to the basal conglomeratic unit can't be definitively rejected

A collaborative P2P Scheme for NAT Traversal Server discovery based on topological information

In the current Internet picture more than 70% of the hosts are located behind Network Address Translators (NATs). This is not a problem for the client/server paradigm. However, the Internet has evolved, and nowadays the largest portion of the traffic is due to peer-to-peer (p2p) applications. This scenario presents an important challenge: two hosts behind NATs (NATed hosts) cannot establish direct communications. The easiest way to solve this problem is by using a third entity, called Relay, that forwards the traffic between the NATed hosts. Although many efforts have been devoted to avoid the use of Relays, they are still needed in many situations. Hence, the selection of a suitable Relay becomes critical to many p2p applications. In this paper, we propose the Gradual Proximity Algorithm (GPA): a simple algorithm that guarantees the selection of a topologically close-by Relay. We present a measurement-based analysis, showing that the GPA minimizes both the delay of the relayed communication and the transit traffic generated by the Relay, being a QoS-aware and ISP-friendly solution. Furthermore, the paper presents the Peer-to-Peer NAT Traversal Architecture (P2P-NTA), which is a global, distributed and collaborative solution, based on the GPA. This architecture addresses the Relay discovery/selection problem. We have performed large-scale simulations based on real measurements, which validate our proposal. The results demonstrate that the P2P-NTA performs similarly to direct communications with reasonably large deployments of p2p applications. In fact, only 5% of the communications experience an extra delay that may degrade the QoS due to the use of Relays. Furthermore, the amount of extra transit traffic generated is only 6%. We also show that the P2P-NTA largely outperforms other proposals, where the QoS degradation affects up to more than 50% of the communications, and the extra traffic generated goes beyond 80%.This work has been partially funded by the Grants MEDIANET (S2009/TIC-1466) from the Regional Government of Madrid and CON-PARTE (TEC2007-67966-C03- 03) by the Ministry of Science and Innovation of Spain.Publicad

Public support of innovative activity in small and large firms in Mexico

The National Science and Technology Council (CONACYT) was established in 1970 by the Mexican government. CONACYT was formed to promote the scientific development and technological modernization of Mexico through developing high-level human resources, encouraging research projects, and disseminating scientific/technological information. In 2009, CONACYT launched the Innovation Stimulus Program (PEI) to foster enterprises’ innovation activities and to encourage collaboration on innovation activities among firms and between firms and public research institutes and higher education institutions. Based on an analysis of project data from the PEI program over the years 2009 through 2014, we found that large firms are more innovative than small firms. And, firms that are more innovative are those that had prior funded research, collaborated with universities in the funded research project, added new employees during the research project, and faced larger markets for their innovations

Nitrite pathway in A2/O WWTPs : Modelling organic matter reduction, operational cost and N2O emissions

Altres ajuts: acords transformatius de la UABDeciding whether the implementation of the nitrite pathway is useful for the treatment of a given wastewater depends on several criteria such as organic matter availability, N and P removal, N2O emissions and operational costs. This work is a simulation-based study with a conventional Anaerobic/Anoxic/Oxic (A2/O) WWTP where the nitrite pathway can be implemented. The outcomes are general correlations to calculate the minimum COD requirements for a certain influent and a practical decision tree on the opportunities of nitrite pathway in A2/O WWTPs as a function of the influent wastewater composition (for P and N concentrations in the ranges 3-11 mgPO4 −3-P·L−1 and 20-60 mg NH4 +-N·L−1). This study shows that the implementation of the nitrite pathway reduces the COD requirements (depending on the influent, between 9 and 68%). It also can lead to a reduction in aeration costs. For an equivalent COD in the influent, the implementation of the nitrite pathway compared to the nitrate pathway results in a reduction of 41-47% in aeration costs and similar sludge production, leading to a reduction in the operational cost index of 10-16%. However, it is essential to note that this strategy can also lead to increased N2O emissions, with an emission factor for the nitrite pathway in the range of 2.5-17 times that of the nitrate pathway

Turismo enológico en Alicante: la ruta del vino en el municipio de Pinoso

In the last years, Spain is betting strongly for the wine tourism that offers, in addition, opportunities for the economic regional development. This paper describes the bet of the Alicante province for the implementation of the Wine Route, focusing on the pioneering municipality, Pinoso. First of all, the advantages of the wine tourism to complement and reduce the seasonality of the tourism of Alicante are described. Then, the degree of implantation is analyzed, detecting necessary measures to take advantage of the opportunities that this tourism offers.En los últimos años, España está apostando fuertemente por el turismo enológico que brinda, además, grandes oportunidades para el desarrollo económico de las regiones. En este trabajo se describe la apuesta de la provincia de Alicante para la creación de la Ruta del Vino, centrando el interés en el municipio impulsor, Pinoso. Tras describir las ventajas del enoturismo para complementar y desestacionalizar la oferta turística de la provincia de Alicante, se analiza el grado de implantación, detectando medidas necesarias para aprovechar al máximo las oportunidades que este turismo puede ofrecer