Ensenada Center for Scientific Research and Higher Education

About: Ensenada Center for Scientific Research and Higher Education is a facility organization based out in Ensenada, Mexico. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 1934 authors who have published 3733 publications receiving 63115 citations.

Supporting informal co-located collaboration in hospital work

Abstract: Informal interactions, an important subject of study in CSCW, are an essential resource in hospital work; they are used as a means to collaborate and to coordinate the way in which the work is performed, as well as to locate and gather the artifacts and human resources necessary for patient care, among others. Results from an observational study of work in a public hospital show that a significant amount of informal interactions happen face to face due to opportunistic encounters. That is due to hospital work being mainly characterized by intense mobility, task fragmentation, collaboration and coordination. This encouraged us to develop an architecture and system tool aimed at supporting mobile co-located collaboration. Based on the findings of our study, this paper presents a set of design insights for developing collaborative applications that support co-located interactions in hospital work, as well as the implementation of these design insights in a collaborative tool. Additionally, we generalized the characteristic that must be fulfilled by tools that support mobile informal co-located collaboration through the design of a generic architecture that includes the characteristics of this type of tools.

Dual-Band Microstrip Resonant Sensor for Dielectric Measurement of Liquid Materials

Abstract: A novel compact microstrip resonant dielectric permittivity sensor with dual-band operation is presented in this paper The circuit makes use of a single stepped-impedance-resonator as the sensing element, working at the 245-GHz and 58-GHz ISM bands, under differential and common modes, respectively Sensitivity of the circuit and resonator coupling at each band can be configured independently Moreover, testing of the sample is done by using a single sensing region without the need of duplicating the sample location Experimental measurements are carried out using a very small amount of liquids and the results are presented validating the theory This work delivers a compact, reusable, label-free and non-destructive microwave device and paves a way for sensing dielectric properties of chemicals with accuracy due to the dual-band performance

The Plasma Membrane Proton Pump PMA-1 Is Incorporated into Distal Parts of the Hyphae Independently of the Spitzenkörper in Neurospora crassa

Abstract: Most models for fungal growth have proposed a directional traffic of secretory vesicles to the hyphal apex, where they temporarily aggregate at the Spitzenkorper before they fuse with the plasma membrane (PM). The PM H(+)-translocating ATPase (PMA-1) is delivered via the classical secretory pathway (endoplasmic reticulum [ER] to Golgi) to the cell surface, where it pumps H(+) out of the cell, generating a large electrochemical gradient that supplies energy to H(+)-coupled nutrient uptake systems. To characterize the traffic and delivery of PMA-1 during hyphal elongation, we have analyzed by laser scanning confocal microscopy (LSCM) strains of Neurospora crassa expressing green fluorescent protein (GFP)-tagged versions of the protein. In conidia, PMA-1-GFP was evenly distributed at the PM. During germination and germ tube elongation, PMA-1-GFP was found all around the conidial PM and extended to the germ tube PM, but fluorescence was less intense or almost absent at the tip. Together, the data indicate that the electrochemical gradient driving apical nutrient uptake is generated from early developmental stages. In mature hyphae, PMA-1-GFP localized at the PM at distal regions (>120 μm) and in completely developed septa, but not at the tip, indicative of a distinct secretory route independent of the Spitzenkorper occurring behind the apex.

On the Continuous Processing of Health Data in Edge-Fog-Cloud Computing by Using Micro/Nanoservice Composition

Abstract: The edge, the fog, the cloud, and even the end-user’s devices play a key role in the management of the health sensitive content/data lifecycle However, the creation and management of solutions including multiple applications executed by multiple users in multiple environments (edge, the fog, and the cloud) to process multiple health repositories that, at the same time, fulfilling non-functional requirements (NFRs) represents a complex challenge for health care organizations This paper presents the design, development, and implementation of an architectural model to create, on-demand, edge-fog-cloud processing structures to continuously handle big health data and, at the same time, to execute services for fulfilling NFRs In this model, constructive and modular $blocks$ , implemented as microservices and nanoservices, are recursively interconnected to create edge-fog-cloud processing structures as infrastructure-agnostic services Continuity schemes create dataflows through the blocks of edge-fog-cloud structures and enforce, in an implicit manner, the fulfillment of NFRs for data arriving and departing to/from each block of each edge-fog-cloud structure To show the feasibility of this model, a prototype was built using this model, which was evaluated in a case study based on the processing of health data for supporting critical decision-making procedures in remote patient monitoring This study considered scenarios where end-users and medical staff received insights discovered when processing electrocardiograms (ECGs) produced by sensors in wireless IoT devices as well as where physicians received patient records (spirometry studies, ECGs and tomography images) and warnings raised when online analyzing and identifying anomalies in the analyzed ECG data A scenario where organizations manage multiple simultaneous each edge-fog-cloud structure for processing of health data and contents delivered to internal and external staff was also studied The evaluation of these scenarios showed the feasibility of applying this model to the building of solutions interconnecting multiple services/applications managing big health data through different environments