Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism

Diagnostic and intervention methodologies for skill assessment of autism typically requires a clinician repetitively initiating several stimuli and recording the child's response. In this paper, we propose to automate the response measurement through video recording of the scene following the use of Deep Neural models for human action recognition from videos. However, supervised learning of neural networks demand large amounts of annotated data that are hard to come by. This issue is addressed by leveraging the `similarities' between the action categories in publicly available large-scale video action (source) datasets and the dataset of interest. A technique called guided weak supervision is proposed, where every class in the target data is matched to a class in the source data using the principle of posterior likelihood maximization. Subsequently, classifier on the target data is re-trained by augmenting samples from the matched source classes, along with a new loss encouraging inter-class separability. The proposed method is evaluated on two skill assessment autism datasets, SSBD and a real world Autism dataset comprising 37 children of different ages and ethnicity who are diagnosed with autism. Our proposed method is found to improve the performance of the state-of-the-art multi-class human action recognition models in-spite of supervision with scarce data.Comment: AAAI 202

Junior Recital: “Out of the Loop, The Music of The Brecker Brothers”

Junior Recital: “Out of the Loop, The Music of The Brecker Brothershttps://digitalcommons.kennesaw.edu/musicprograms/2441/thumbnail.jp

Effects of an Anabolic Implant and Transport on Metabolic Status and Muscle Traits of Feedlot Steers

A study was repeated over 2 years to determine the effect of feeding different levels of dry distillers grains with solubles (DDGS) and wet distillers grains with solubles (WDGS) on the performance of finishing cattle. In each year, 120 steers (756 ± 22 lb) were weighed, and randomly allocated to 15 pens. The pens were then assigned to one of five treatments: 1) corn-soybean meal (CON); 2) 20% DDGS; 3) 20% WDGS; 4) 40% DDGS; or 5) 40% WDGS. The basal diet consisted of 10% alfalfa hay, 4% molasses, 2% supplement, 10.5% SBM and 73.5% cracked corn. The WDGS and DDGS were added to replace all the SBM and part of the cracked corn. Steers were fed these diets for 138 and 129 days in years 1 and 2, respectively. Body weight was recorded prior to feeding at the start of the trial and every 28 days. Steers were harvested at a commercial facility and carcass data were collected. No treatment x year interactions occurred, thus data were pooled over the 2 years. There was an interaction between wet vs. dry and 20% vs. 40% distillers grains with solubles (DGS) for cumulative DMI. Steers fed 20% and 40% DDGS had the highest DMI, but feeding 40% WDGS significantly depressed (P \u3c 0.01) DMI. Cumulative ADG was similar across all treatments; however, steers fed 40% DGS had greater G:F (P \u3c 0.05) than those fed 20% DGS, and those fed WDGS were more efficient (P \u3c 0.01) than those fed DDGS. Pooled carcass data showed that steers fed DGS had greater (P \u3c 0.01) 12th rib fat compared to CON resulting in steers fed DGS having greater (P \u3c 0.05) Yield Grades compared to CON steers. Steers fed 20% DDGS and 20% WDGS had numerically higher (P \u3c 0.05) marbling scores compared to steers fed CON, 40% DDGS and 40% WDGS. Hot carcass weight, ribeye area, and percent kidney, pelvic, and heart fat were similar across all treatments. In conclusion, feeding DDGS and WDGS at 20 and 40% of the diet DM can be used to replace SBM in finishing diets to achieve similar gains and efficiencies. However, Yield Grades were greater for steers fed DGS compared to those fed the corn-soybean meal diet

Effect of Increasing Dietary Concentration of Dried Distillers Grains plus Solubles on Phosphorus Balance in Finishing Steers

Eight crossbred steers (initial BW = 972.2 ± 33.5 lb) were used in a replicated Latin square design to determine the effect of increasing dietary concentrations of dried distillers grains plus solubles (DDGS) on phosphorus (P) balance in finishing steers. The control (CON) diet contained 79% dry rolled corn (DRC), 10% cottonseed hulls, 6% soybean meal (SBM), and 5% mineral supplement (total diet P concentration = 0.26%). In each of the remaining three diets, all of the SBM and a portion of the DRC were removed and replaced with DDGS at 12%, 24%, and 36% of the diet (total diet P concentrations = 0.28%, 0.33%, and 0.37%, respectively). Steers were housed in indoor, slatted-floor pens (5.6 x 8.5 ft) during a 21-d diet acclimation period prior to a 5-d total fecal and urine collection period. All samples (feed ingredients, feed refusals, feces, and urine) were analyzed for P concentration. Phosphorus intake increased from 18.6 to 27.8 g/d as the concentration of DDGS was increased in the diet. Fecal P was not affected by treatment. Urinary P, total P excretion, and P retention increased as the level of DDGS in the diets increased. In regression analyses, fecal P, total P excretion, and P retention were influenced by P intake. Urinary P tended to be influenced by P intake. Results of the experiment clearly demonstrate that as the levels of DDGS in the diets of finishing steers increases P excretion increases

SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials

Machine learning potentials are an important tool for molecular simulation, but their development is held back by a shortage of high quality datasets to train them on. We describe the SPICE dataset, a new quantum chemistry dataset for training potentials relevant to simulating drug-like small molecules interacting with proteins. It contains over 1.1 million conformations for a diverse set of small molecules, dimers, dipeptides, and solvated amino acids. It includes 15 elements, charged and uncharged molecules, and a wide range of covalent and non-covalent interactions. It provides both forces and energies calculated at the {\omega}B97M-D3(BJ)/def2-TZVPPD level of theory, along with other useful quantities such as multipole moments and bond orders. We train a set of machine learning potentials on it and demonstrate that they can achieve chemical accuracy across a broad region of chemical space. It can serve as a valuable resource for the creation of transferable, ready to use potential functions for use in molecular simulations.Comment: 19 pages, 6 figure

Systematic Improvements in Transmon Qubit Coherence Enabled by Niobium Surface Encapsulation

We present a novel transmon qubit fabrication technique that yields systematic improvements in T$_1$ coherence times. We fabricate devices using an encapsulation strategy that involves passivating the surface of niobium and thereby preventing the formation of its lossy surface oxide. By maintaining the same superconducting metal and only varying the surface structure, this comparative investigation examining different capping materials and film substrates across different qubit foundries definitively demonstrates the detrimental impact that niobium oxides have on the coherence times of superconducting qubits, compared to native oxides of tantalum, aluminum or titanium nitride. Our surface-encapsulated niobium qubit devices exhibit T$_1$ coherence times 2 to 5 times longer than baseline niobium qubit devices with native niobium oxides. When capping niobium with tantalum, we obtain median qubit lifetimes above 200 microseconds. Our comparative structural and chemical analysis suggests that amorphous niobium suboxides may induce higher losses. These results are in line with high-accuracy measurements of the niobium oxide loss tangent obtained with ultra-high Q superconducting radiofrequency (SRF) cavities. This new surface encapsulation strategy enables further reduction of dielectric losses via passivation with ambient-stable materials, while preserving fabrication and scalable manufacturability thanks to the compatibility with silicon processes

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570