One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds

The processing, storage and transmission of large-scale point clouds is an ongoing challenge in the computer vision community which hinders progress in the application of 3D models to real-world settings, such as autonomous driving, virtual reality and remote sensing. We propose a novel, one-shot point cloud simplification method which preserves both the salient structural features and the overall shape of a point cloud without any prior surface reconstruction step. Our method employs Gaussian processes with kernels defined on Riemannian manifolds, allowing us to model the surface variation function across any given point cloud. A simplified version of the original cloud is obtained by sequentially selecting points using a greedy sparsification scheme. The selection criterion used for this scheme ensures that the simplified cloud best represents the surface variation of the original point cloud. We evaluate our method on several benchmark datasets, compare it to a range of existing methods and show that our method is competitive both in terms of empirical performance and computational efficiency.Comment: 10 pages, 5 figure

Portable X-Ray Fluorescence Spectroscopy for Rapid and Cost-Effective Determination of Elemental Composition of Ground Forage

The recent development of portable X-ray fluorescence spectrometers (PXRF) has created new avenues for rapid plant elemental concentration determination at reduced cost while avoiding hazardous chemicals. A few studies have indicated the potential use of PXRF for homogenous plant tissue analysis. However, there is a lack of information for analysis of heterogeneous plant samples like livestock forage, which consists of a mixture of several species and plant parts, each varying in elemental concentration. Our objective was to evaluate PXRF for forage analysis, specifically the effect of forage particle size and scan time on important elements including P, K, Ca, and Fe determination. Hay samples (n = 42) were oven dried (60◦C for 3 days) and ground into three particle sizes (≤0.5 mm, 0.25–0.5 mm and 1–2 mm). Prepared samples were scanned by PXRF using a vacuum (\u3c10 torr) without a filter. Samples were placed in cups over thin prolene X-ray film and scanned for 180 s. A subset (n = 29) were also scanned for 60 and 120 s. PXRF counts for P, K, Ca, and Fe were compared with laboratory Inductively Coupled Plasma Optical Emission Spectroscopy (ICP) determinations, using regression models. Results indicated that these elements could potentially be determined with PXRF (r 2 ≥ 0.70) in heterogeneous forage samples. Relationship strength increased with decreasing particle size, however, the relationship was still strong (r 2 ≥ 0.57) at the largest particle size. Scanning time did not affect the relationship with ICP concentration for any of the particle sizes evaluated. This work demonstrated that with the right sample preparation PXRF can obtain results comparable to acid digestion and ICP regardless of sample composition, and suggests the potential for in situ determination

Characterization of two putative potassium channels in Plasmodium falciparum

<p>Abstract</p> <p>Background</p> <p>Potassium channels are essential for cell survival and participate in the regulation of cell membrane potential and electrochemical gradients. During its lifecycle, <it>Plasmodium falciparum </it>parasites must successfully traverse widely diverse environmental milieus, in which K⁺channel function is likely to be critical. Dramatically differing conditions will be presented to the parasite in the mosquito mid-gut, red blood cell (RBC) cytosol and the human circulatory system.</p> <p>Methods</p> <p><it>In silico </it>sequence analyses identified two open-reading frames in the <it>P. falciparum </it>genome that are predicted to encode for proteins with high homology to K⁺channels. To further analyse these putative channels, specific antisera were generated and used in immunoblot and immunofluorescence analyses of <it>P. falciparum</it>-infected RBCs. Recombinant genome methods in cultured <it>P. falciparum </it>were used to create genetic knock outs of each K⁺channel gene to asses the importance of their expression.</p> <p>Results</p> <p>Immunoblot and IFA analyses confirmed the expression of the two putative <it>P. falciparum </it>K⁺channels (PfK1 and PfK2). PfK1 is expressed in all asexual stage parasites, predominantly in late stages and localizes to the RBC membrane. Conversely, PfK2 is predominantly expressed in late schizont and merozoite stage parasites and remains primarily localized to the parasite. Repeated attempts to knockout PfK1 and PfK2 expression by targeted gene disruption proved unsuccessful despite evidence of recombinant gene integration, indicating that <it>pfk1 </it>and <it>pfk2 </it>are apparently refractory to genetic disruption.</p> <p>Conclusion</p> <p>Putative K⁺channel proteins PfK1 and PfK2 are expressed in cultured <it>P. falciparum </it>parasites with differing spatial and temporal patterns. Eventual functional characterization of these channels may reveal future pharmacological targets.</p

Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay

Recommender systems are a ubiquitous feature of online platforms. Increasingly, they are explicitly tasked with increasing users' long-term satisfaction. In this context, we study a content exploration task, which we formalize as a multi-armed bandit problem with delayed rewards. We observe that there is an apparent trade-off in choosing the learning signal: Waiting for the full reward to become available might take several weeks, hurting the rate at which learning happens, whereas measuring short-term proxy rewards reflects the actual long-term goal only imperfectly. We address this challenge in two steps. First, we develop a predictive model of delayed rewards that incorporates all information obtained to date. Full observations as well as partial (short or medium-term) outcomes are combined through a Bayesian filter to obtain a probabilistic belief. Second, we devise a bandit algorithm that takes advantage of this new predictive model. The algorithm quickly learns to identify content aligned with long-term success by carefully balancing exploration and exploitation. We apply our approach to a podcast recommendation problem, where we seek to identify shows that users engage with repeatedly over two months. We empirically validate that our approach results in substantially better performance compared to approaches that either optimize for short-term proxies, or wait for the long-term outcome to be fully realized.Comment: Presented at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23

Advancing the Application of Design of Experiments to Synthetic Theater Operations Research Model Data

NPS NRP Executive SummaryNavy leadership is interested in initiatives that can potentially increase the responsiveness of campaign analysis. Simulation-based campaign analysis is used to measure risk for investment options in how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM is a complex, time-consuming process. A simulated campaign may span months, involve scores of ships and battalions, hundreds of aircraft and installations, all executing thousands of interconnected missions involving numerous events in time and space. Creating, testing, and approving the inputs for a single design point (DP) requires a significant investment in analysts’ time and computing resources. Consequently, there are limits on the number of DPs that can be produced, executed, and analyzed during a study’s timeframe.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098).Approved for public release. Distribution is unlimited

A Game Approach to Teach Environmentally Benign Manufacturing in the Supply Chain

Multidisciplinary models of education are needed to prepare students for their role in a global work environment. Combined with this need is the reality of the new Millennial Generation entering the educational system with a different approach to learning. This paper introduces an interactive, educational engineering game designed to appeal to the Millennial Generation’s learning preferences. Shortfall is a prototype board game with a team approach and a trial and error methodology to introduce students to environmentally benign manufacturing in the supply chain using the automobile industry as a model. After playing the game, quantitative analysis showed that on average, students gained new knowledge and a changed perception of their confidence in their answers. Qualitative analysis of data demonstrated that students felt the game also helped them with the teamwork/communication aspects of supply chain. Future plans involve converting the game to a computer format to streamline its effectiveness for multi-institutional participation

Benthic Microalgal Production at Stellwagen Bank, Massachusetts Bay, USA

Benthic microalgal chlorophyll a and production were measured at 3 sites at Stellwagen Bank, a cold temperate continental shelf habitat in Massachusetts Bay, USA, during August 1991. Benthic microalgal chlorophyll a averaged 39.8 Mg M-2, vs average integrated phytoplankton chlorophyll a of 25.9 mg m-2. Gross benthic microalgal production, measured by oxygen exchange in clear and opaque benthic chambers, averaged 20.9 mg C m-2 h-1. This production was supported by average daily light fluxes to the bottom that never exceeded 1 % of surface incident radiation and were as low as 4.7 μE M-2 s-1. These results indicate that benthic microalgal production can be spatially extensive and quantitatively important in continental shelf ecosystems

Youth\u27s Strategies for Staying Safe and Coping With the Stress of Living in Violent Communities.

Youth living in urban environments of pervasive violence are exposed to a variety of violence-related stressors. This qualitative descriptive study sought to ascertain how community-dwelling youth perceived exposure to violence and how these youth identified and used available resources. The intent of this community-based participatory research study was to help inform the design of a youth violence prevention center intervention. Semi-structured interviews were conducted with a purposive sample of 18 youth ages 10-16. Youth reported high levels of exposure to neighborhood violence. A theme of identifying and navigating safe and unsafe places emerged. Other stressors were more proximal and included interpersonal issues and conflicts. Youth used neighborhood and individual resources to cope with stressors. Youth maintained a high level of vigilance and developed clear strategies to safely navigate violent neighborhoods. Implications for youth due to the constant vigilance and exquisite sensitivity to stressors of chronic neighborhood violence are discussed