Origin and history of ureilitic material in the solar system: The view from asteroid 2008 TC3 and the Almahata Sitta meteorite

Asteroid 2008 TC3 (approximately 4m diameter) was tracked and studied in space for approximately 19h before it impacted Earth's atmosphere, shattering at 44-36km altitude. The recovered samples (>680 individual rocks) comprise the meteorite Almahata Sitta (AhS). Approximately 50-70% of these are ureilites (ultramafic achondrites). The rest are chondrites, mainly enstatite, ordinary, and Rumuruti types. The goal of this work is to understand how fragments of so many different types of parent bodies became mixed in the same asteroid. Almahata Sitta has been classified as a polymict ureilite with an anomalously high component of foreign clasts. However, we calculate that the mass of fallen material was 0.1% of the pre-atmospheric mass of the asteroid. Based on published data for the reflectance spectrum of the asteroid and laboratory spectra of the samples, we infer that the lost material was mostly ureilitic. Therefore, 2008 TC3 probably contained only a few percent nonureilitic materials, similar to other polymict ureilites except less well consolidated. From available data for the AhS meteorite fragments, we conclude that 2008 TC3 samples essentially the same range of types of ureilitic and nonureilitic materials as other polymict ureilites. We therefore suggest that the immediate parent of 2008 TC3 was the immediate parent of all ureilitic material sampled on Earth. We trace critical stages in the evolution of that material through solar system history. Based on various types of new modeling and re-evaluation of published data, we propose the following scenario. (1) The ureilite parent body (UPB) accreted 0.5-0.6Ma after formation of calcium-aluminum-rich inclusions (CAI), beyond the ice line (outer asteroid belt). Differentiation began approximately 1Ma after CAI. (2) The UPB was catastrophically disrupted by a major impact approximately 5Ma after CAI, with selective subsets of the fragments reassembling into daughter bodies. (3) Either the UPB (before breakup), or one of its daughters (after breakup), migrated to the inner belt due to scattering by massive embryos. (4) One daughter (after forming in or migrating to the inner belt) became the parent of 2008 TC3. It developed a regolith, mostly 3.8Ga ago. Clasts of enstatite, ordinary, and Rumuruti-type chondrites were implanted by low-velocity collisions. (5) Recently, the daughter was disrupted. Fragments were injected or drifted into Earth-crossing orbits. 2008 TC3 comes from outer layers of regolith, other polymict ureilites from deeper regolith, and main group ureilites from the interior of this body. In contrast to other models that have been proposed, this model invokes a stochastic history to explain the unique diversity of foreign materials in 2008 TC3 and other polymict ureilites.

A view of Sir Isaac Newton's philosophy

by Dr. Pemberton

View in the nave of Westminster Abbey, during the Commemoration of Handel

Signatur des Originals: S 36/G01067

View of the Orchestra and Performers in Westminster Abbey, during the Commemoration of Handel.

Signatur des Originals: S 36/G02675

View of the Gallery prepared for the reception of their Majesties, the Royal Family, Directors, & principal Personage in the Kingdom, at the Commemoration of Handel in Westminster Abbey

Signatur des Originals: S 36/G02676

View of the Orchesta Organ in Westminster Abbey under the Direction of Mr. James Wyatt, for the Commemoration of Handel

Signatur des Originals: S 36/G02677

An Inside View of the Pantheon exhibiting their Majesties Box & c. as fitted up under the direction of Mr. James Wyatt, for the Commemoration of Handel.

Signatur des Originals: S 36/G03858

Performance recovery from exercise: A review from a statistical point of view

Background. Research into methods for recovery from fatigue due to exercise is a popular topic among sport medicine, kinesiology and physical therapy. However, both the quantity and quality of studies and a clear solution of recovery are lacking. An analysis of the statistical methods in the existing literature of performance recovery can enhance the quality of research and provide some guidance for future studies. Methods: A literature review was performed using SCOPUS, SPORTDiscus, MEDLINE, CINAHL, Cochrane Library and Science Citation Index Expanded databases to extract the studies related to performance recovery from exercise of human beings. Original studies and their statistical analysis for recovery methods including Active Recovery, Cryotherapy/Contrast Therapy, Massage Therapy, Diet/Ergogenics, and Rehydration were examined. Results: The review produces a Research Design and Statistical Method Analysis Summary. Conclusion: Research design and statistical methods can be improved by using the guideline from the Research Design and Statistical Method Analysis Summary. This summary table lists the potential issues and suggested solutions, such as, sample size calculation, sports specific and research design issues consideration, population and measure markers selection, statistical methods for different analytical requirements, equality of variance and normality of data, post hoc analyses and effect size calculation.^

Editoriall: A Holistic View of Family Preservation Services

One of the hallmarks of family preservation services is that they are holistic and attend to multiple dimensions of family life. In that spirit, this issue of the Family Preservation Journal provides a holistic view of these services, by offering research from the perspective of children, parents, caseworkers, and students of social work. These articles focus on the effectiveness of services, parents' perceptions of services, and the knowledge, attitudes and behavior of child welfare caseworkers. There should be something here for everyone who serves children and their families.

Editorial: Broadening Our Vision, Refining the View

This issue of the Family Preservation Journal combines two emerging interests in the fields of family preservation and family support. First, contemporary forces are making the world a smaller and smaller orb, and we see the plight of families and children around the globe on a daily basis. Our vision of families' needs is broadening, bringing with it questions about how services and systems support families in different cultures and under different governmental structures. Accompanying this global awareness is a greater emphasis on making service delivery and the evaluation of services more transparent to families. True to the original vision of family-based services, more and more agencies are incorporating consumers' perspectives into the design of services and are seeking their perspectives on what works and why.

Multibeam Converter - a tool to create Ocean Data View import files from multibeam files

The software Multibeam Converter is a tool to convert files or folders of files (ascii/tab-separated data files with or without metaheader), downloaded from PANGAEA via the search engine or the data warehouse to the ODV import format, e.g. for visualization or further processing. MultibeamConverter is distributed as freeware for the operating systems Microsoft Windows, Apple OS X and Linux.

Building the View Graph of a Category by Exploiting Image Realism

We propose a weakly supervised method to arrange images of a given category based on the relative pose between the camera and the object in the scene. Relative poses are points on a sphere centered at the object in a given canonical pose, which we call object viewpoints. Our method builds a graph on this sphere by assigning images with similar viewpoint to the same node and by connecting nodes if they are related by a small rotation. The key idea is to exploit a large unlabeled dataset to validate the likelihood of dominant 3D planes of the object geometry. A number of 3D plane hypotheses are evaluated by applying small 3D rotations to each hypothesis and by measuring how well the deformed images match other images in the dataset. Correct hypotheses will result in deformed images that correspond to plausible views of the object, and thus will likely match well other images in the same category. The identified 3D planes are then used to compute affinities between images related by a change of viewpoint. We then use the affinities to build a view graph via a greedy method and the maximum spanning tree.