Session11: \u3cem\u3eSkip-GCN : A Framework for Hierarchical Graph Representation Learning\u3c/em\u3e

Recently there has been high demand for the representation learning of graphs. Graphs are a complex data structure that contains both topology and features. There are first several domains for graphs, such as infectious disease contact tracing and social media network communications interactions. The literature describes several methods developed that work to represent nodes in an embedding space, allowing for classical techniques to perform node classification and prediction. One such method is the graph convolutional neural network that aggregates the node neighbor’s features to create the embedding. Another method, Walklets, takes advantage of the topological information stored in a graph to create the embedding space. We propose a method that takes advantage of both the feature embeddings and topological by an intersection of the two methods. We first represent information across the entire hierarchy of the network by allowing the graph convolutional network to skip neighbors in its convolutions. Then using multilinear algebra, we can capture correlations across the hierarchies to create our node embeddings by representing our convolutions as a tensor. We can follow up the captured node embeddings by a dense layer to perform node classification or link prediction

HAMSTRING STIFFNESS IS RELATED TO ANTERIOR TIBIAL TRANSLATION WHEN TRANSITIONING FROM NON-WEIGHT BEARING TO WEIGHT BEARING

Anterior tibial translation (ATT) loads the anterior cruciate ligament (ACL) as the knee transitions from non-weight bearing (NWB) to weight bearing (WB). Therefore, any factors able to effectively reduce ATT during initial WB would theoretically reduce ACL loading. This study evaluated the extent to which hamstring musculo-articular stiffness (KHAM) is associated with ATT as the knee transitions from NWB to WB in 10 healthy females (19.9 ± 1.5 yrs, 1.65 ± 0.06 m, 62.3 ± 6.3 kg). Linear regression revealed that KHAM predicted 48.6% of the variance in ATT (R2 = .486, p = .025), with higher KHAM being associated with less ATT. KHAM is modifiable through training, and thus may be an important factor to consider from ACL injury prevention and rehabilitation perspectives

THE RELATIONSHIP BETWEEN HAMSTRING MUSCULO-ARTICULAR STIFFNESS AND LOWER-EXTREMITY BODY COMPOSITION

The purpose of this study was to compare hamstring musculo-articular stiffness (MAS) and lower extremity (LE) body composition in the dominant (D) and non-dominant (ND) legs of men and women, and then to examine relationships between MAS and LE body composition while controlling for sex. No differences in MAS or LE body composition were found between D and ND legs in either sex. Males demonstrated greater MAS and LE % lean mass (%LM) than females, while females had greater LE % fat mass (%FM) than males. The combination of sex and %FM explained ~60% of the variance in MAS, while ~31% of the variance could be attributed to sex alone. Findings suggest that between-sex differences may potentially mask relationships between MAS and the factors influencing this measure, highlighting the need for future sex-stratified designs

The coherent artifact in modern pulse measurements

We simulate multi-shot intensity-and-phase measurements of unstable ultrashort-pulse trains using frequency-resolved-optical-gating (FROG) and spectral phase interferometry for direct electric-field reconstruction (SPIDER). Both techniques fail to reveal the pulse structure. FROG yields the average pulse duration and suggests the instability by exhibiting disagreement between measured and retrieved traces. SPIDER under-estimates the average pulse duration but retrieves the correct average pulse spectral phase. An analytical calculation confirms this behavior.Comment: submission to Opt. Let

Scientific Integrity: Producing, Incorporating, and Advocating for Science in the Age of Alternative Facts

Technical information – along with politics, economics, public opinion, societal values, and legal considerations – is one input into wildlife management decisions.  As information consumers, decision-makers require objectivity of those who produce such information, and should have an understanding of the inference scope and strength (and uncertainty) associated with technical information.  Information producers must earn, demonstrate, and protect that reputation of objectivity.  Both producers and consumers must both foster and guard a culture of integrity, such that the processes of producing and applying information are transparent and can withstand intense scrutiny.  Today, rather suddenly, there is national discourse on these subjects of transparency, professional integrity, and rigorous questioning and defense of scientific information.  The discussion of the role of science and scientists in informing public policy has assumed a prominent position in traditional and social media.  This panel, consisting of representatives from federal, state, tribal, and non-governmental organizations will engage in this discussion with the audience

Characterization and modeling of the Haemophilus influenzae core and supragenomes based on the complete genomic sequences of Rd and 12 clinical nontypeable strains

The genomes of 9 non-typeable H. influenzae clinical isolates were sequenced and compared with a reference strain, allowing the characterisation and modelling of the core-and supra genomes of this organism

Development and Testing of the Orion CEV Parachute Assembly System (CPAS)

The Crew Exploration Vehicle (CEV) is an element of the Constellation Program that includes launch vehicles, spacecraft, and ground systems needed to embark on a robust space exploration program. As an anchoring capability of the Constellation Program, the CEV shall be human-rated and will carry human crews and cargo from Earth into space and back again. Coupled with transfer stages, landing vehicles, and surface exploration systems, the CEV will serve as an essential component of the architecture that supports human voyages to the Moon and beyond. In addition, the CEV will be modified, as required, to support International Space Station (ISS) mission requirements for crewed and pressurized cargo configurations. Headed by Johnson Space Center (JSC), NASA selected Jacobs Engineering as the support contractor to manage the overall CEV Parachute Assembly System (CPAS) program development. Airborne Systems was chosen to develop the parachute system components. General Dynamics Ordnance and Tactical Systems (GD-OTS) was subcontracted to Airborne Systems to provide the mortar systems. Thus the CPAS development team of JSC, Jacobs, Airborne Systems and GD-OTS was formed. The CPAS team has completed the first phase, or Generation I, of the design, fabrication, and test plan. This paper presents an overview of the CPAS program including system requirements and the development of the second phase, known as the Engineering Development Unit (EDU) architecture. We also present top level results of the tests completed to date. A significant number of ground and flight tests have been completed since the last CPAS presentation at the 2007 AIAA ADS Conference

The readiness level of using e-learning among Teacher Graduate Programme (TGP)

Using e-Learning among Teacher Graduate Programme (TGP) to students who are newly exposed in Teaching and Learning (T&L) proses. The major problem among student’s TGP is the readiness level in knowledge, attitude and skills using e-Learning during Teaching and Learning (T&L) . This study is to identify any significant differences of the knowledge level between male and female TGP students. The design of this study is to survey research using instruments of questionnaire which are distributed to respondents among TGP students at the Faculty of Technical and Vocational, UTHM. The sample is given to 248 respondents and analysis using version SPSS 21.0. Data presented using descriptive method such as, Mean, Standard Deviation(SD), inferens statistic using Mann-Whitney U to identify the knowledge difference between male and female TGP students. The result showed that the level of application of e-Learning among TGP students in terms of knowledge, attitude and skill at moderate level. The study also showed that there are no significant knowledge difference among male and female TGP students because the result of p= 0.044 value is less <0.05 can be stated that Ha failed rejected. The results of this study is important to provide awareness especially to the TGP students, lecturers and also UTHM in providing new T&L using eLearning

Using drones to detect and quantify wild pig damage and yield loss in corn fields throughout plant growth stages

Presently, there are an estimated 6.9 million wild pigs (Sus scrofa) in the U.S., which cause over US$1 billion in damage to agriculture, environmental impacts, and control costs. However, estimates of damage have varied widely, creating a need for standardized monitoring and a method to accurately estimate the economic costs of direct wild pig damage to agriculture. The goal of our study was to integrate remotely sensed imagery from drones and crop harvest data to quantify wild pig damage in corn fields. We used drones with natural color (red, green, blue) cameras to monitor corn fields at different growth stages in an agricultural matrix in Delta County, Texas, USA, during 2019–2020. We flew 36 drone missions and classified wild pig damage in 18 orthomosaics by a combination of manually digitizing and deep‐learning algorithms. We compared estimates of damage from drone imagery to those derived from ground‐based transect surveys, to verify pig damage. Finally, we compared damaged areas of fields to maps of collected real‐time yields at harvest to estimate yield loss. All classified drone orthomosaics of pig damage had \u3e80$17.18–48.24 per ha of damage. Drone imagery, when combined with spatiallyexplicit, harvest yield data, provides an accurate assessment of crop damage and yield loss due to wild pigs in the currency required for the cost‐benefit evaluation of management actions

Specific Subpopulations of Hypothalamic Leptin Receptor-Expressing Neurons Mediate the Effects of Early Developmental Leptin Receptor Deletion on Energy Balance

ACKNOWLEDGEMENTS We thank MedImmune, Inc. and James Trevaskis, PhD and Christopher Rhodes, PhD for the gift of leptin. We thank members of the Myers and Olson labs for helpful discussions. Research support was provided by the Michigan Diabetes Research Center (NIH P3 0 DK020572, including the Molecular Genetics, Animal Phenotyping, and Clinical Cores), the American Diabetes Association (MGM), the Marilyn H. Vincent Foundation (MGM), the NIH (MGM: D K05673 1; ACR:DK071212; MBA: DK097861), the BBSRC (LKH: BB/NO17838/1) and WellcomeTrust (LKH: 098012).Peer reviewedPublisher PD