CCSDS Time-Critical Onboard Networking Service

The Consultative Committee for Space Data Systems (CCSDS) is developing recommendations for communication services onboard spacecraft. Today many different communication buses are used on spacecraft requiring software with the same basic functionality to be rewritten for each type of bus. This impacts on the application software resulting in custom software for almost every new mission. The Spacecraft Onboard Interface Services (SOIS) working group aims to provide a consistent interface to various onboard buses and sub-networks, enabling a common interface to the application software. The eventual goal is reusable software that can be easily ported to new missions and run on a range of onboard buses without substantial modification. The system engineer will then be able to select a bus based on its performance, power, etc and be confident that a particular choice of bus will not place excessive demands on software development. This paper describes the SOIS Intra-Networking Service which is designed to enable data transfer and multiplexing of a variety of internetworking protocols with a range of quality of service support, over underlying heterogeneous data links. The Intra-network service interface provides users with a common Quality of Service interface when transporting data across a variety of underlying data links. Supported Quality of Service (QoS) elements include: Priority, Resource Reservation and Retry/Redundancy. These three QoS elements combine and map into four TCONS services for onboard data communications: Best Effort, Assured, Reserved, and Guaranteed. Data to be transported is passed to the Intra-network service with a requested QoS. The requested QoS includes the type of service, priority and where appropriate, a channel identifier. The data is de-multiplexed, prioritized, and the required resources for transport are allocated. The data is then passed to the appropriate data link for transfer across the bus. The SOIS supported data links may inherently provide the quality of service support requested by the intra-network layer. In the case where the data link does not have the required level of support, the missing functionality is added by SOIS. As a result of this architecture, re-usable software applications can be designed and used across missions thereby promoting common mission operations. In addition, the protocol multiplexing function enables the blending of multiple onboard networks. This paper starts by giving an overview of the SOIS architecture in section 11, illustrating where the TCONS services fit into the overall architecture. It then describes the quality of service approach adopted, in section III. The prototyping efforts that have been going on are introduced in section JY. Finally, in section V the current status of the CCSDS recommendations is summarized

SpaceWire Protocol ID: What Does it Mean to You?

This document is a slide presentation reviewing the SpaceWire (SW) Protocol. The purpose of the presentation is to describe the latest work of the SW working group to promote upper level protocol standardization. The presentation also briefly describes the SW protocol

Detection of a Fully-resolved Compton Shoulder of the Iron K-alpha Line in the Chandra X-ray Spectrum of GX 301-2

We report the detection of a fully-resolved, Compton-scattered emission line in the X-ray spectrum of the massive binary GX 301-2 obtained with the High Energy Transmission Grating Spectrometer onboard the Chandra X-ray Observatory. The iron K-alpha fluorescence line complex observed in this system consists of an intense narrow component centered at an energy of E = 6.40 keV and a redward shoulder that extends down to ~6.24 keV, which corresponds to an energy shift of a Compton back-scattered iron K-alpha photon. From detailed Monte Carlo simulations and comparisons with the observed spectra, we are able to directly constrain the physical properties of the scattering medium, including the electron temperature and column density, as well as an estimate for the metal abundance.Comment: 13 pages, 4 figures, 1 table, accepted for publication in ApJ Lette

Digital Footprints in the Video Stream: Survey study of reflections on digital traces of media consumption and potential to use this for insights into well-being

Introduction & Background Netflix now has a consumer base of over 230 million worldwide. During the pandemic, its customers watched 203.8 million hours of content daily, with their activity, content choices and preferences being continually logged. The digital footprint data amassed in this process underpins a symbiotic relationship between supplier and consumer. Black-box algorithms convert these logs into personalised functionality and recommendations, producing improved customer experiences while generating revenue for the business. Whether the consumer willingly accepts this trade-off or not, it’s now almost impossible to use online services without leaving digital traces. But how representative of an individual’s actual preferences and behaviours are these? What biases exist in such datasets? And to what degree are consumers cognisant of how these datasets are being used? Objectives & Approach This study surveyed participants to interrogate their understanding of the data Netflix makes available to its subscribers. The objectives were to explore their perceptions relating to the data collected about them and encourage them to think critically about their digital footprint. It was also the intention of the research group that participants feel a sense of empowerment / control over the data made available to them. UK-based participants were provided with instructions on how to access their viewing history (programme titles, dates of access) and invited to inspect it. 61 participants opted to donate their data to the study, along with responses to a survey reflecting their understanding of what they had retrieved. Relevance to Digital Footprints While it may have been possible to work with Netflix to retrieve viewer data, by accessing via the participants instead, the researchers were enabling them to review and make informed choices about what they shared. One of the potential issues with this approach is that it provides an opportunity for participants to curate their data, should there be content that they would be uncomfortable sharing. Alternately, they may choose to withdraw from the study altogether based on what they see. While this has its drawbacks in terms of data inaccuracies and self-selection effect, it was felt important to the research team to prioritise the participants autonomy, encouraging them to be candid and share. If nothing else, it is hoped that by taking part in the study, there is the potential for participants to be inspired to think about the footprints they leave every time they go online so that they might be more mindful of them in future. Results In terms of bias, using only the Netflix data meant that the researchers were only accessing participants who pay for that service. Further, the researchers would only be accessing what would be a proportion of the participants’ viewing. If only using one service however, Netflix is arguably the service to use as according to statistica©, In 2021 it was the most subscribed (paid) supplier in the UK. 76% of respondents view more streamed content than terrestrial broadcast content and utilise an average of 3.5 streaming services. 36% of respondents also stated that they share their Netflix user profiles with at least one other person. Despite these limitations, 84% of respondents nonetheless considered that the captured content was representative of their ‘personal tastes and viewing habits.’ 76% were not aware until participating in the study that it was possible to extract their viewing data from Netflix, and 34% said they’d likely review it again. 33% indicated surprise as to the extent of information captured about them; but 91% believed that the streaming platform collected more information than was made available. Conclusions & Implications This study shows the potential of data donation to understand viewing habits, binge watching and related well-being indicators, with 43% of surveyed individuals offering their data for research. What has not been established in this study is why 57% of the group declined to share their data. It can be speculated that it may have been a reluctance to share once the data was inspected or that the process to access and then upload it may have been too much of a hurdle. An implication for this type of study may include a requirement to over-recruit in anticipation of a high drop-out rate or that data extraction and sharing needs to be made as simple and convenient as practicable for the participant. Given that one of the objectives of the research was to encourage participants to have more curiosity in and awareness / control of their digital footprints, consideration should be given to seeing if participant interest in further exploration of their data could be increased from the 24% seen here. This might be driven by the data type, any perceived utility it might have for the participant or any perceived ways in which it might be used to impact / influence them in some way by a 3rd party

Amylin: Pharmacology, Physiology, and Clinical Potential

Amylin is a pancreatic β-cell hormone that produces effects in several different organ systems. Here, we review the literature in rodents and in humans on amylin research since its discovery as a hormone about 25 years ago. Amylin is a 37-amino-acid peptide that activates its specific receptors, which are multisubunit G protein-coupled receptors resulting from the coexpression of a core receptor protein with receptor activity-modifying proteins, resulting in multiple receptor subtypes. Amylin's major role is as a glucoregulatory hormone, and it is an important regulator of energy metabolism in health and disease. Other amylin actions have also been reported, such as on the cardiovascular system or on bone. Amylin acts principally in the circumventricular organs of the central nervous system and functionally interacts with other metabolically active hormones such as cholecystokinin, leptin, and estradiol. The amylin-based peptide, pramlintide, is used clinically to treat type 1 and type 2 diabetes. Clinical studies in obesity have shown that amylin agonists could also be useful for weight loss, especially in combination with other agents

How has the OSD affected our state hospitals?

The long-awaited occupation-specific dispensation (OSD) process for state-employed doctors has now been concluded. The final offer, signed and accepted in the bargaining chamber despite being rejected by 92% of doctors in a SAMA survey, has not received much attention or fanfare. At the conclusion of this process, which has been drawn out over several years, many points have emerged that are extremely worrying for the future of health care in this country