Photoreactivation of Lethal Damage Induced in Hamster X Xenopus Hybrid Cells and Their Parentals by UV Light

A85 Xenopus cells that exhibited a high level of photoreactivation (PR) and V79B2 hamster cells that exhibited little PR were fused to produce the V79B2 x A85 cell line — a hybrid line which possessed a relatively stable karyotype, with most cells containing the entire V79B2 and A85 genomes. UV and UV plus PR fluence-survival relations were then determined and compared for the hybrid and parental lines in a first attempt to elucidate interactions of the parental PR mechanisms in the hybrid. It was anticipated that the A85 genome in the hybrid would produce PR enzyme in sufficient concentration and of such a nature as to efficiently PR UV-induced lethal damage in both A85 and V79B2 DNA, and little difference would be observed in the levels of PR exhibited by the V79B2 x A85 and A85 lines. To the contrary, the level of PR observed for the hybrid was substantially below that observed for the A85 line. To assist in the interpretation of this unexpected observation, three additional preliminary studies were carried out: 1) Comparison of the optimum PR schemes for the A85 and hybrid lines, 2) examination of relations between the PR and dark UV repair mechanisms possessed by these lines, and 3) comparison of the levels of PR of chromatid deletions induced by UV in selected V79B2 and A85 chromosomes of the hybrid. The results suggested that the relatively low level of PR manifested by the hybrid cells was a consequence of their inability to efficiently PR pyrimidine dimers induced by UV in V79B2 DNA

Initiating and tracking social actions to adapt and improve smart city\u27s business processes

© 2017 IEEE. This paper presents Business-2-Social (B2S) platform. It is a Web-based application that provides connection of a smart city\u27s components, namely business processes, Internet of Things (IoT), and social networks. B2S collects and processes IoT-related data in preparation of supporting the decision makers. Based on IoT data and defined guidelines, B2S automatically initiates social actions and collects citizens\u27 feedback. The objective is to drive the interactions between smart cities and citizens so that necessary services are offered

Differential resistive transducer for power harvesting for implanted devices

This work is aimed at powering implanted electronic device with sensors meant for collection of biomedical signals. This is done through inductive coupling technique employed not only to transfer power (mW level) but also to make data available to the external world for monitoring purposes. It is primarily an analysis associated with transferring digital signal in order to power implanted electronics for signal acquisition. Hence, this work is aimed to provide both a power as well a signal link between the external world and the implanted electronic devices

Impact of Caloric Intake on Parenteral Nutrition–Associated Intestinal Morphology and Mucosal Barrier Function

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142275/1/jpen0474.pd

Approximations to seismic AVA responses: Validity and potential in glaciological applications

Amplitude-variation-with-angle (AVA) methods establish the seismic properties of material either side of a reflective interface, and their use is growing in glaciology. The AVA response of an interface is defined by the complex Knott-Zoeppritz (K-Z) equations, numerous approximations to which we typically assume weak interface contrasts and isotropic propagation, inconsistent with the strong contrasts at glacier beds and the vertically transverse isotropic (VTI) fabrics were associated with englacial reflectivity. We considered the validity of a suite of approximate K-Z equations for the exact P-wave reflectivity RP of ice overlying bedrock, sediment and water, and englacial interfaces between isotropic and VTI ice.We found that the approximations of Aki-Richards, Shuey, and Fatti match exact glacier bed reflectivity to within RP ± 0.05, smaller than the uncertainty in typical glaciological AVA analyses, but only for maximum incident angle θi limited to 30°. A stricter limit of θi ≤ 20° offered comparable accuracy to a hydrocarbon benchmark case of shale overlying gas-charged sand. The VTI-compliant Rüger approximation accurately described englacial reflectivity, to within RP ± 0.01, and it can be modified to give a quadratic expression in sin2 (θi)suitable for curve-matching operations. Having shown the circumstances under which AVA approximations were valid for glaciological applications, we have suggested that their interpretative advantages can be exploited in the future AVA interpretations

Back to the future: Throughput prediction for cellular networks using radio KPIs

The availability of reliable predictions for cellular throughput would offer a fundamental change in the way applications are designed and operated. Numerous cellular applications, including video streaming and VoIP, embed logic that attempts to estimate achievable throughput and adapt their behaviour accordingly. We believe that providing applications with reliable predictions several seconds into the future would enable profoundly better adaptation decisions and dramatically benefit demanding applications like mobile virtual and augmented reality. The question we pose and seek to address is whether such reliable predictions are possible. We conduct a preliminary study of throughput prediction in a cellular environment using statistical machine learning techniques. An accurate prediction can be very challenging in large scale cellular environments because they are characterized by highly fluctuating channel conditions. Using simulations and real-world experiments, we study how prediction error varies as a function of prediction horizon, and granularity of available data. In particular, our simulation experiments show that the prediction error for mobile devices can be reduced significantly by combining measurements from the network with measurements from the end device. Our results indicate that it is possible to accurately predict achievable throughput up to 8 sec in the future where 50th percentile of all errors are less than 15% for mobile and 2% for static devices

Real-time tracking and mining of users’ actions over social media

© 2020, ComSIS Consortium. All rights reserved. With the advent of Web 2.0 technologies and social media, companies are actively looking for ways to know and understand what users think and say about their products and services. Indeed, it has become the practice that users go online using social media like Facebook to raise concerns, make comments, and share recommendations. All these actions can be tracked in real-time and then mined using advanced techniques like data analytics and sentiment analysis. This paper discusses such tracking and mining through a system called Social Miner that allows companies to make decisions about what, when, and how to respond to users’ actions over social media. Questions that Social Miner allows to answer include what actions were frequently executed and why certain actions were executed more than others

OSCAR: an optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks

The design of an adaptive video client for mobile users is challenged by the frequent changes in operating conditions. Such conditions present a seemingly insurmountable challenge to adaptation algorithms, which may fail to find a balance between video rate, stalls, and rate-switching. In an effort to achieve the ideal balance, we design OSCAR, a novel adaptive streaming algorithm whose adaptation decisions are optimized to avoid stalls while maintaining high video quality. Our performance evaluation, using real video and channel traces from both 3G and 4G networks, shows that OSCAR achieves the highest percentage of stall-free sessions while maintaining a high quality video in comparison to the state-of-the-art algorithms

Consulting Communities When Patients Cannot Consent: A Multi-Center Study of Community Consultation for Research in Emergency Settings

OBJECTIVE: To assess the range of responses to community consultation efforts conducted within a large network and the impact of different consultation methods on acceptance of exception from informed consent (EFIC) research and understanding of the proposed study. DESIGN: A cognitively pre-tested survey instrument was administered to 2,612 community consultation participants at 12 US centers participating in a multi-center trial of treatment for acute traumatic brain injury (TBI). SETTING: Survey nested within community consultation for a Phase III, randomized controlled trial of treatment for acute TBI conducted within a multi-center trial network and using EFIC. SUBJECTS: Adult participants in community consultation events. INTERVENTIONS: Community consultation efforts at participating sites. MEASUREMENTS AND MAIN RESULTS: Acceptance of EFIC in general, attitude toward personal EFIC enrollment, and understanding of the study content were assessed. 54% of participants agreed EFIC was acceptable in the proposed study; 71% were accepting of personal EFIC enrollment. Participants in interactive versus non-interactive community consultation events were more accepting of EFIC in general (63% vs. 49%) and personal EFIC inclusion (77% vs. 67%). Interactive community consultation participants had high-level recall of study content significantly more often than non-interactive consultation participants (77% vs. 67%). Participants of interactive consultation were more likely to recall possible study benefits (61% vs. 45%) but less likely to recall potential risks (56% vs. 69%). CONCLUSIONS: Interactive community consultation methods were associated with increased acceptance of EFIC and greater overall recall of study information but lower recall of risks. There was also significant variability in EFIC acceptance among different interactive consultation events. These findings have important implications for IRBs and investigators conducting EFIC research and for community engagement efforts in research more generally