Discarge compilation from The Global River Discharge (RivDIS) Project

The Global River Discharge (RivDIS) data set contains monthly discharge measurements for 1018 stations located throughout the world. The period of record varies widely from station to station, with a mean of 21.5 years. These data were digitized from published UNESCO archives by Charles Voromarty, Balaze Fekete, and B.A. Tucker of the Complex Systems Research Center (CSRC) at the University of New Hampshire. River discharge is typically measured through the use of a rating curve that relates local water level height to discharge. This rating curve is used to estimate discharge from the observed water level. The rating curves are periodically rechecked and recalibrated through on-site measurement of discharge and river stage.

A new hard-particle model for anisotropic fluids

We report a new hard-particle model system consisting of hard cylinders, we have determined the geometrical conditions that let us know whether or not two given cylinders overlap. In addition we have carried out Monte Carlo simulations sampling the canonical ensemble on this system, the numerical results indicate that this system exhibits mesomorphic behaviour.

The H5 guide system - the latest innovative guide system at the ILL

The H5 program with the complete rebuild of the guide system and the upgrade or renovation of all instruments leads to a tremendous increase of the instrument performances. The improvement was obtained both in terms of more useful flux and upgrade of the different instruments (e.g. higher field density for IN15). In addition, the industrial application instrument D50 offers an addition to the ILL instrument suite (see p. 27 in this issue). With the commissioning of the new spin echo spectrometer WASP in 2016, the H5 program will be completed and a considerable improvement for the ILL instrument park will be finalized.

Estradiol repression of tumor necrosis factor-α transcription requires estrogen receptor activation function-2 and is enhanced by coactivators

The tumor necrosis factor-α (TNF-α) promoter was used to explore the molecular mechanisms of estradiol (E2)-dependent repression of gene transcription. E2 inhibited basal activity and abolished TNF-α activation of the TNF-α promoter. The E2-inhibitory element was mapped to the −125 to −82 region of the TNF-α promoter, known as the TNF-responsive element (TNF-RE). An AP-1-like site in the TNF-RE is essential for repression activity. Estrogen receptor (ER) β is more potent than ERα at repressing the −1044 TNF-α promoter and the TNF-RE upstream of the herpes simplex virus thymidine kinase promoter, but weaker at activating transcription through an estrogen response element. The activation function-2 (AF-2) surface in the ligand-binding domain is required for repression, because anti-estrogens and AF-2 mutations impair repression. The requirement of the AF-2 surface for repression is probably due to its capacity to recruit p160 coactivators or related coregulators, because overexpressing the coactivator glucocorticoid receptor interacting protein-1 enhances repression, whereas a glucocorticoid receptor interacting protein-1 mutant unable to interact with the AF-2 surface is ineffective. Furthermore, receptor interacting protein 140 prevents repression by ERβ, probably by interacting with the AF-2 surface and blocking the binding of endogenous coactivators. These studies demonstrate that E2-mediated repression requires the AF-2 surface and the participation of coactivators or other coregulatory proteins.

Phosphorylation of the human leukemia inhibitory factor (LIF) receptor by mitogen-activated protein kinase and the regulation of LIF receptor function by heterologous receptor activation.

We used a bacterially expressed fusion protein containing the entire cytoplasmic domain of the human leukemia inhibitory factor (LIF) receptor to study its phosphorylation in response to LIF stimulation. The dose- and time-dependent relationships for phosphorylation of this construct in extracts of LIF-stimulated 3T3-L1 cells were superimposable with those for the stimulation of mitogen-activated protein kinase (MAPK). Indeed, phosphorylation of the cytoplasmic domain of the low-affinity LIF receptor alpha-subunit (LIFR) in Mono Q-fractionated, LIF-stimulated 3T3-L1 extracts occurred only in those fractions containing activated MAPK; Ser-1044 served as the major phosphorylation site in the human LIFR for MAPK both in agonist-stimulated 3T3-L1 lysates and by recombinant extracellular signal-regulated kinase 2 in vitro. Expression in rat H-35 hepatoma cells of LIFR or chimeric granulocyte-colony-stimulating factor receptor (G-CSFR)-LIFR mutants lacking Ser-1044 failed to affect cytokine-stimulated expression of a reporter gene under the control of the beta-fibrinogen gene promoter but eliminated the insulin-induced attenuation of cytokine-stimulated gene expression. Thus, our results identify the human LIFR as a substrate for MAPK and suggest a mechanism of heterologous receptor regulation of LIFR signaling occurring at Ser-1044.

Towards Closed-loop Deep Brain Stimulation: Behavior Recognition from Human STN

Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

FOIA, Inc.

Government transparency is imagined as a public good necessary to a robust democracy. Consistent with that vision, Congress enacted the Freedom of Information Act (FOIA) to allow oversight and accountability of governmental activities. No actors are more central to the design than journalists, who were not only the prime intended users, but who were intimately involved in crafting the law itself. But this democracy-enhancing ideal is at odds with FOIA’s reality: at some agencies, commercial — not public — interests dominate the landscape of FOIA requesters. This Article provides the first in-depth academic study of the commercial use of FOIA, drawing on original datasets from six federal agencies. It uses these agencies as case studies to examine the way that businesses derive profit-making value from free or low-cost federal records. Remarkably, these datasets also reveal a cottage industry of companies whose entire business model is to request federal records under FOIA and resell them at a profit. Information resellers are not isolated occurrences, but rather are some of the most frequent FOIA requesters — often submitting hundreds or even thousands of requests a year — at a variety of federal agencies. Commercial users certainly have legitimate information needs, but, as this Article demonstrates, the volume and character of the current commercial use of FOIA undermines its efficacy as a transparency tool. Private businesses in essence receive a substantial subsidy without any corresponding public good, all while draining agency resources that might otherwise be used to respond to FOIA requests that serve its central oversight and accountability aims. Moreover, information resellers have become the de facto locus for federal records for whole industries, effectively privatizing an important public function. Counter-intuitively, limiting commercial requesting will not solve this problem. Instead, this Article proposes a targeted and aggressive policy of requiring government agencies to affirmatively disclose sets of records that are routinely the subject of FOIA requests — a surprisingly large number of the documents sought by commercial requesters. By meeting information needs in a more efficient manner that is available equally to all, affirmative disclosure will enable federal agencies to reclaim public records from the private market and free up resources to better serve FOIA requests that advance its democratic purpose.

Aplicación de herramientas web colaborativas a la docencia en la Ingeniería en Sonido e Imagen

Las nuevas tecnologías en el proceso de enseñanzaaprendizaje, durante algunos años, han jugado un papel meramente espectador. Con la llegada de las aplicaciones Web 2.0 y el concepto e-Learning, las nuevas tecnologías pasan a tener un rol de canalizador de la enseñanza. Ante la llegada del Espacio Europeo de Educación Superior (EEES) la comunidad universitaria se enfrenta a un cambio en la filosofía de trabajo. En este trabajo, se presenta la aplicación de la suite orientada a la educación de Google (Google Apps) a la docencia en la titulación de Ingeniero en Sonido e Imagen impartida en la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA ). El conjunto de herramientas web colaborativas se han aplicado en dos vertientes bien diferenciadas: en la docencia de la asignatura Proyectos e Infraestructuras de Telecomunicación II (PIT 2) de 6 Créditos ECTS obligatorios en 4º curso, y a la dirección del Proyecto Fin de Carrera (PFC). La incursión de las nuevas titulaciones de Grado en la UA ha favorecido la implantación de un Curso de adaptación al Grado en Ingeniería en Sonido e Imagen, orientado a los titulados en Ingeniería Técnica de Telecomunicación, especialidad en Sonido e Imagen, con el fin de continuar su formación. Este Curso de adaptación presenta una casuística que favorece el uso de nuevas técnicas docentes.

El clima/ambiente en el aula Escuela Politécnica Superior de la Universidad de Alicante

El grupo de redes LinDU_2013, propone analizar la dimensión del ambiente en el aula. Para ello, utilizará el cuestionario realizado en la Escuela Politécnica de la Universidad de Alicante, denominado CUED_MISE_Aparicio (2012), sirviendo de soporte el modelo instruccional de (Rivas 2003), donde la relación profesor – estudiante, radica en la edad y madurez del estudiante, dentro del contexto sociocultural de la comunidad universitaria. Los ítems a estudiar son ¿En general, puedo afirmar que en las clases de esta asignatura hay buen ambiente de colaboración entre los compañeros? ¿El profesor/a valora y estimula la participación de los estudiantes en la clase? ¿El profesor/a conoce el nombre del estudiante? ¿El profesor/a ha captado la diversidad del alumnado y ha respondido adecuadamente? ¿La relación entre los profesores y los alumnos/as ha sido adecuada, estando siempre accesible para aclaraciones, tutorías, reclamaciones, etc.? ¿El alumno/a ha aprovechado la asignatura? A continuación se realiza el proceso metodológico con el tratamiento estadístico SPSS con sus descriptivos de centralización, dispersión y distribución, para pasar posteriormente, a la discusión y sus conclusiones.

Zafer-nâme / li-Karaçelebizade Abdülaziz Efendi : manuscript, 1723 or 4

A historical account of the Yerevan and Baghdad campaigns of Murād IV (r. 1623-1640). Composed in eight chapters. Book begins in 1044 AH [1635 AD] with the army setting out from Üsküdar and ends in 1049 AH [1640 AD] with the sultna's return to Istanbul after conclusion of Kasrışirin Treaty.