Combating Disinformation with AI: Epistemic and Ethical Challenges

AI-supported methods for identifying and combating disinformation are progressing in their development and application. However, these methods face a litany of epistemic and ethical challenges. These include (1) robustly defining disinformation, (2) reliably classifying data according to this definition, and (3) navigating ethical risks in the deployment of countermeasures, which involve a mixture of harms and benefits. This paper seeks to expose and offer preliminary analysis of these challenges

Library Publishing Competencies

This publication provides a list of skills and knowledge useful in the development and provision of publishing services in libraries, organized into three categories: publishing, program development and management, and teaching and consulting. It will support publishing programs in identifying essential skills and will help individuals in the field to identify their strengths and the areas in which they are interested in growing. The Competencies was authored by LPC’s Professional Development Committee with input from the LPC community. HTML versio

The Lantern Vol. 44, No. 1, Fall 1977

• Onto My Love • Saturday Midnight • Michelle • Today • Firefly • Black Midnight • Bamboo Arms • Caesaropapism • A Day In My Life • I Only • For Stephen • April 18, 1958 to July 15, 1977 with Emphasis on July 15 • Ode to Little Sisters • Privacy Warning • For Susan, Someone I Used to Know • A Parting on the Night of June 26th • Infant\u27s Universehttps://digitalcommons.ursinus.edu/lantern/1111/thumbnail.jp

The Lantern Vol. 42, No. 1, Fall 1975

• The House • The Empty Man • Time • Corporea • Take Me • Elements of Nature • Hope • Acclimation • Road to Elat • Sinai • Jerusalem • Fatman • Ode to Grand Rapids • Ode to Cora • The Apple Cart • Next Time You\u27re Down South • Star Wreck • Eulogy to John Doe • A Postal Preoccupation • The Interview May Be Real (But Don\u27t Bet On It) • Winter Eve • My Love • God\u27s Children • A View From a Hill • Freedom For Us • Sleep Demonhttps://digitalcommons.ursinus.edu/lantern/1107/thumbnail.jp

Antarctic sea ice thickness and snow-to-ice conversion from atmospheric reanalysis and passive microwave snow depth

Passive microwave snow depth, ice concentration, and ice motion estimates are combined with snowfall from the European Centre for Medium-Range Weather Forecasting (ECMWF) reanalysis (ERA-40) from 1979-2001 to estimate the prevalence of snow-to-ice conversion (snow-ice formation) on level sea ice in the Antarctic for April-October. Snow ice is ubiquitous in all regions throughout the growth season. Calculated snow-ice thicknesses fall within the range of estimates from ice core analysis for most regions. However, uncertainties in both this analysis and in situ data limit the usefulness of snow depth and snow-ice production to evaluate the accuracy of ERA-40 snowfall. The East Antarctic is an exception, where calculated snow-ice production exceeds observed ice thickness over wide areas, suggesting that ERA-40 precipitation is too high there. Snow-ice thickness variability is strongly controlled not just by snow accumulation rates, but also by ice divergence. Surprisingly, snow-ice production is largely independent of snow depth, indicating that the latter may be a poor indicator of total snow accumulation. Using the presence of snow-ice formation as a proxy indicator for near-zero freeboard, we examine the possibility of estimating level ice thickness from satellite snow depths. A best estimate for the mean level ice thickness in September is 53 cm, comparing well with 51 cm from ship-based observations. The error is estimated to be 10-20 cm, which is similar to the observed interannual and regional variability. Nevertheless, this is comparable to expected errors for ice thickness determined by satellite altimeters. Improvement in satellite snow depth retrievals would benefit both of these methods

The conservation status of the world's freshwater molluscs

With the biodiversity crisis continuing unchecked, we need to establish levels and drivers of extinction risk, and reassessments over time, to effectively allocate conservation resources and track progress towards global conservation targets. Given that threat appears particularly high in freshwaters, we assessed the extinction risk of 1428 randomly selected freshwater molluscs using the IUCN Red List Categories and Criteria, as part of the Sampled Red List Index project. We show that close to one-third of species in our sample are estimated to be threatened with extinction, with highest levels of threat in the Nearctic, Palearctic and Australasia and among gastropods. Threat levels were higher in lotic than lentic systems. Pollution (chemical and physical) and the modification of natural systems (e.g. through damming and water abstraction) were the most frequently reported threats to freshwater molluscs, with some regional variation. Given that we found little spatial congruence between species richness patterns of freshwater molluscs and other freshwater taxa, apart from crayfish, new additional conservation priority areas emerged from our study. We discuss the implications of our findings for freshwater mollusc conservation, the adequacy of a sampled approach and important next steps to estimate trends in freshwater mollusc extinction risk over time

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio