Niveaux d'énergie de 28Si au voisinage de 13,245 MeV observés à l'aide des réactions 27Al(p, γ)28Si et 27Al(p, α) 24Mg

L'étude simultanée des caractéristiques des résonances de la réaction 27Al + p à une énergie Ep = 1 724 keV, pour différentes voies de sortie, a permis de conclure à l'existence de deux niveaux distincts (Jπ = 3-, Jπ = 5-) dans 28Si situés à 13 245 ± 2 keV

Managing Plastics: Uses, Losses and Disposal

The term ‘plastic’ refers to a wide range of different materials with diverse properties and uses. Plastics are essential in a modern industrial economy. Plastic pollution results from the ‘leakage’ of plastics into the unconfined environment at all stages of the product cycle, not just following use, so the highest priority to prevent continuing pollution is to ensure that all plastics remain within the economy. The ‘circular economy’ approach may reduce but cannot eliminate plastic pollution without effective measures to prevent leakage. Measures to prevent leakage must be based on understanding of how plastics are brought into and moved through the economy; of the practical options for reducing demand for fresh plastic, re-using and recycling plastic products, and managing final waste; and on prioritizing development of alternative materials for specific uses. Even if leakages of plastic into the environment are curtailed, the legacy of plastic pollution over the last seventy years will remain, particularly in the oceans. Marine plastic litter is a problem of the Global Commons and requires global action for its collection.\ua0 Currently, landfilling of collected marine plastic debris is the only feasible option but, if economic uses can be found, this will partially offset future demand for fresh plastics

Формирование и развитие территориальной информационной системы Томской области

Целью Государственной программы является создание и становление информационного общества на территории Томской области

InnoCube - Preparing the Fully Wireless Satellite Data Bus for Launch

The Innovative CubeSat for Education (InnoCube) mission is a technology demonstrator cubesat mission relying on a fully wireless data-bus, set to launch in November 2024. This paper will discuss the mission objectives, design and implementation of the InnoCube mission with an emphasis on the wireless data bus. The mission is a collaborative project between the University of Wuerzburg and the Technische Universität Berlin in Germany. The mission objectives are to showcase the viability of a fully wireless data-bus for intra-satellite communication onboard cubesats and satellites in general, to provide a platform for testing and validating these new technologies, and to provide an opportunity for students to gain hands-on experience in the design and operation of a cubesat mission. The design of the InnoCube mission includes a 3U cubesat bus including the avionics, the wireless data-bus, and a suite of payloads provided by the TU Berlin. The wireless data bus is based on a time-division multiple access protocol and will enable the cubesat’s subsystems to communicate within the satellite, relying only on wireless means of communication. InnoCube will provide valuable insights and data concerning the feasibility of a wireless data bus for space applications, which can be especially beneficial to larger satellites and their associated large data harness. The mission will be operated from the Technische Universität Berlin and will be launched in 2024. Firstly, the paper will give an overview of the design of the satellite’s subsystems including the additional payloads. Then, the technology used in the wireless bus will be described. Special emphasis will be given to the integration and testing of the wireless bus before launch. This paper will also discuss the challenges associated with the InnoCube mission, such as the need for robust communication protocols, the need for reliable power sources, and the need for reliable redundancy control schemes. Additionally, the paper will discuss the potential applications of the technology demonstrated by the InnoCube mission along with their advantages and disadvantages compared to a traditional data harness. Finally, the paper will discuss the potential benefits and open topics for future missions using wireless technology for intra-satellite communication as demonstrated by the InnoCube mission

Combination Schemes for Turning Point Predictions

We propose new forecast combination schemes for predicting turning points of business cycles. The combination schemes deal with the forecasting performance of a given set of models and possibly providing better turning point predictions. We consider turning point predictions generated by autoregressive (AR) and Markov-Switching AR models, which are commonly used for business cycle analysis. In order to account for parameter uncertainty we consider a Bayesian approach to both estimation and prediction and compare, in terms of statistical accuracy, the individual models and the combined turning point predictions for the United States and Euro area business cycles

A Disulfide Relay System in the Intermembrane Space of Mitochondria that Mediates Protein Import

SummaryWe describe here a pathway for the import of proteins into the intermembrane space (IMS) of mitochondria. Substrates of this pathway are proteins with conserved cysteine motifs, which are critical for import. After passage through the TOM channel, these proteins are covalently trapped by Mia40 via disulfide bridges. Mia40 contains cysteine residues, which are oxidized by the sulfhydryl oxidase Erv1. Depletion of Erv1 or conditions reducing Mia40 prevent protein import. We propose that Erv1 and Mia40 function as a disulfide relay system that catalyzes the import of proteins into the IMS by an oxidative folding mechanism. The existence of a disulfide exchange system in the IMS is unexpected in view of the free exchange of metabolites between IMS and cytosol via porin channels. We suggest that this process reflects the evolutionary origin of the IMS from the periplasmic space of the prokaryotic ancestors of mitochondria

Recognizing the need for nursing support through energy data : a pilot project

Bei Personen im hohen Alter passieren 90 Prozent der Unfälle – wie zum Beispiel Stürze – zu Hause. Ein großer Anteil der Unfälle in Häusern betrifft Personen die älter sind als 65 Jahre. Das Erkennen von Aktivitäten kann dazu beitragen, dass Notfallsituationen frühzeitig erkannt werden. Bislang haben nur wenige Technologien zur Aktivitäts- und Notfallerkennung, welche in eine bestehende häusliche Infrastruktur integriert werden können, das Potenzial, die Sicherheit älterer, zu Hause lebender Personen zu erhöhen, indem Veränderungen im Alltag automatisch erkannt werden. Das Institut für Pflege (IFP) und das Institut für Energiesysteme und Fluid Engineering der ZHAW (IEFE) der Zürcher Hochschule für Angewandte Wissenschaften (ZHAW) will mit einer Pilotstudie aufzeigen, dass Aktivitäten des täglichen Lebens durch Energieverbrauchsdaten identifiziert werden können. Dazu wird untersucht, ob Daten aus einem Aktivitätsmonitoring-System dazu verwendet werden können, um einen pflegerischen Unterstützungsbedarf zu erkennen. Vor allem gebrechliche Personen über 70 Jahre, die sowohl kognitiv als auch sinnesbeeinträchtigt sind, könnten von intelligenten Technologien profitieren, was dazu beitragen kann, dass Personen im Alter länger zu Hause leben können. In older adults, 90 percent of accidents – such as falls – occur at home. A large proportion of accidents in homes affect people who are older than 65 years. Recognition of a pattern of activities can help ensure that emergency situations are detected early. Not many technologies for activity and emergency detection have the potential to improve the safety of older adults living alone. These technologies, which can be integrated into an existing domestic infrastructure, may automatically recognize changes in everyday life. The Institute of Nursing (IFP) and the Institute for Energy Systems and Fluid Engineering (IEFE) of Zurich University of Applied Sciences (ZHAW) wants to show with a pilot study whether activities of daily living can be identified by energy consumption data and whether data from an activity monitoring system can be used to detect needs that would benefit from nursing support. Especially elderly persons over 80 years who have cognitive or sensory impairments could benefit from intelligent technologies, which can help older adults to continue to live at home