Inspecting class hierarchies in classification-based metric learning models

Most classification models treat all misclassifications equally. However, different classes may be related, and these hierarchical relationships must be considered in some classification problems. These problems can be addressed by using hierarchical information during training. Unfortunately, this information is not available for all datasets. Many classification-based metric learning methods use class representatives in embedding space to represent different classes. The relationships among the learned class representatives can then be used to estimate class hierarchical structures. If we have a predefined class hierarchy, the learned class representatives can be assessed to determine whether the metric learning model learned semantic distances that match our prior knowledge. In this work, we train a softmax classifier and three metric learning models with several training options on benchmark and real-world datasets. In addition to the standard classification accuracy, we evaluate the hierarchical inference performance by inspecting learned class representatives and the hierarchy-informed performance, i.e., the classification performance, and the metric learning performance by considering predefined hierarchical structures. Furthermore, we investigate how the considered measures are affected by various models and training options. When our proposed ProxyDR model is trained without using predefined hierarchical structures, the hierarchical inference performance is significantly better than that of the popular NormFace model. Additionally, our model enhances some hierarchy-informed performance measures under the same training options. We also found that convolutional neural networks (CNNs) with random weights correspond to the predefined hierarchies better than random chance.Comment: The main manuscript is 22 pages. The whole paper is 49 pages. The codes for our experiments will be available in https://github.com/hjk92g/Inspecting_Hierarchies_ML . The plankton datasets are available from the Norwegian Marine Data Center (MicroS: https://doi.org/10.21335/NMDC-2102309336 , MicroL: https://doi.org/10.21335/NMDC-573815973 , MesoZ: https://doi.org/10.21335/NMDC-1805578916

Acute Post-Exercise Blood Pressure Responses in Middle-Aged Persons with Elevated Blood Pressure/Stage 1 Hypertension following Moderate and High-Intensity Isoenergetic Endurance Exercise

International Journal of Exercise Science 13(3): 1532-1548, 2020. This study investigated the acute post-exercise hypotension (PEH) response in persons with elevated blood pressure or stage 1 hypertension following moderate and high-intensity isoenergetic endurance exercise. Twelve middle-aged persons (six females), with resting systolic and diastolic BP of 130±6 and 84±7 mmHg, participated in three bicycle ergometer bouts: 1) Testing of peak aerobic capacity (VO2peak), 2) Moderate intensity exercise (MOD) at 66% of VO2peak, 3) High-intensity exercise (INT) at 80% of VO2peak. All variables were recorded pre-exercise, during exercise and 0, 5, 10, and 30 minutes post-exercise. The total duration of exercise was 26% longer during MOD than INT (p \u3c0.001), while total energy expenditure (TEE) was similar between exercise conditions (359 ± 69 kcal). Oxygen consumption, heart rate, power output and ratings of perceived exertion was 21, 13, 21 and 26% higher during INT than MOD exercise, respectively (0.05 ≤ p ≤ 0.001). Compared to pre-exercise, systolic BP was significantly lower at 30 min post-exercise following both INT (p \u3c 0.05) and MOD (p \u3c 0.01) exercise, and there was no difference between INT and MOD conditions. Other variables were similar to pre-exercise values at 30 min post-exercise. Linear regression shows that the largest post-exercise reductions in systolic BP was found for the persons with the highest pre-exercise systolic BP (r = 0.58 r2 = 0.33, p \u3c 0.003). In conclusion, this study shows that endurance exercise with different intensities and durations, but similar TEE is equally effective in eliciting reductions in the post-exercise systolic BP. Furthermore, the magnitude of PEH response is partly dependent on the individuals’ resting blood pressure

Acute Post-Exercise Blood Pressure Responses in Middle-Aged Persons with Elevated Blood Pressure/Stage 1 Hypertension following Moderate and High-Intensity Isoenergetic Endurance Exercise

Source at https://digitalcommons.wku.edu/ijes/vol13/iss3/19.This study investigated the acute post-exercise hypotension (PEH) response in persons with elevated blood pressure or stage 1 hypertension following moderate and high-intensity isoenergetic endurance exercise. Twelve middle-aged persons (six females), with resting systolic and diastolic BP of 130±6 and 84±7 mmHg, participated in three bicycle ergometer bouts: 1) Testing of peak aerobic capacity (VO2peak), 2) Moderate intensity exercise (MOD) at 66% of VO2peak, 3) High-intensity exercise (INT) at 80% of VO2peak. All variables were recorded pre-exercise, during exercise and 0, 5, 10, and 30 minutes post-exercise. The total duration of exercise was 26% longer during MOD than INT (p 2 = 0.33, p < 0.003). In conclusion, this study shows that endurance exercise with different intensities and durations, but similar TEE is equally effective in eliciting reductions in the post-exercise systolic BP. Furthermore, the magnitude of PEH response is partly dependent on the individuals’ resting blood pressure

Modelling succession of key resource harvesting traits of mixotrophic plankton populations

Unicellular eukaryotes make up the base of the ocean food web and exist as a continuum in trophic strategy from pure heterotrophy (phagotrophic zooplankton) to pure photoautotrophy (‘phytoplankton'), with a dominance of mixotrophic organisms combining both strategies. Here we formulate a trait-based model for mixotrophy with three key resource-harvesting traits: photosynthesis, phagotrophy and inorganic nutrient uptake, which predicts the trophic strategy of species throughout the seasonal cycle. Assuming that simple carbohydrates from photosynthesis fuel respiration, and feeding primarily provides building blocks for growth, the model reproduces the observed light-dependent ingestion rates and species-specific growth rates with and without prey from the laboratory. The combination of traits yielding the highest growth rate suggests high investments in photosynthesis, and inorganic nutrient uptake in the spring and increased phagotrophy during the summer, reflecting general seasonal succession patterns of temperate waters. Our trait-based model presents a simple and general approach for the inclusion of mixotrophy, succession and evolution in ecosystem models

Phytoplankton growth after a century of dormancy illuminates past resilience to catastrophic darkness

Photosynthesis evolved in the oceans more than 3 billion years ago and has persisted throughout all major extinction events in Earth's history. The most recent of such events is linked to an abrupt collapse of primary production due to darkness following the Chicxulub asteroid impact 65.5 million years ago. Coastal phytoplankton groups (particularly dinoflagellates and diatoms) appear to have been resilient to this biotic crisis, but the reason for their high survival rates is still unknown. Here we show that the growth performance of dinoflagellate cells germinated from resting stages is unaffected by up to a century of dormancy. Our results clearly indicate that phytoplankton resting stages can endure periods of darkness far exceeding those estimated for the Cretaceous-Paleogene extinction and may effectively aid the rapid resurgence of primary production in coastal areas after events of prolonged photosynthesis shut-down

Relationship between hypertension and nonobstructive coronary artery disease in chronic coronary syndrome (the NORIC registry)

Background The burden of non-obstructive coronary artery disease (CAD) in the society is high, and there is currently limited evidence-based recommendation for risk stratification and treatment. Previous studies have demonstrated an association between increasing extent of non-obstructive CAD and cardiovascular events. Whether hypertension, a modifiable cardiovascular risk factor, is associated with extensive non-obstructive CAD in patients with symptomatic chronic coronary syndrome (CCS) remains unclear. Methods We included 1138 patients (mean age 62±11 years, 48% women) with symptomatic CCS and non-obstructive CAD (1–49% lumen diameter reduction) by coronary computed tomography angiography (CCTA) from the Norwegian Registry for Invasive Cardiology (NORIC). The extent of non-obstructive CAD was assessed as coronary artery segment involvement score (SIS), and extensive non-obstructive CAD was adjudicated when SIS >4. Hypertension was defined as known hypertension or use of antihypertensive medication. Results Hypertension was found in 45% of patients. Hypertensive patients were older, with a higher SIS, calcium score, and prevalence of comorbidities and statin therapy compared to the normotensive (all p<0.05). There was no difference in the prevalence of hypertension between sexes. Univariable analysis revealed a significant association between hypertension and non-obstructive CAD. In multivariable analysis, hypertension remained associated with extensive non-obstructive CAD, independent of sex, age, smoking, diabetes, statin treatment, obesity and calcium score (OR 1.85, 95% CI [1.22–2.80], p = 0.004). Conclusion In symptomatic CCS, hypertension was associated with extensive non-obstructive CAD by CCTA. Whether hypertension may be a new treatment target in symptomatic non-obstructive CAD needs to be explored in future studies.publishedVersio

TRIM27 is an autophagy substrate facilitating mitochondria clustering and mitophagy via phosphorylated TBK1

Tripartite motif-containing protein 27 (TRIM27/also called RFP) is a multifunctional ubiquitin E3 ligase involved in numerous cellular functions, such as proliferation, apoptosis, regulation of the NF-kB pathway, endosomal recycling and the innate immune response. TRIM27 interacts directly with TANK-binding kinase 1 (TBK1) and regulates its stability. TBK1 in complex with autophagy receptors is recruited to ubiquitin chains assembled on the mitochondrial outer membrane promoting mitophagy. Here, we identify TRIM27 as an autophagy substrate, depending on ATG7, ATG9 and autophagy receptors for its lysosomal degradation. We show that TRIM27 forms ubiquitylated cytoplasmic bodies that co-localize with autophagy receptors. Surprisingly, we observed that induced expression of EGFP-TRIM27 in HEK293 FlpIn TRIM27 knockout cells mediates mitochondrial clustering. TRIM27 interacts with autophagy receptor SQSTM1/p62, and the TRIM27-mediated mitochondrial clustering is facilitated by SQSTM/p62. We show that phosphorylated TBK1 is recruited to the clustered mitochondria. Moreover, induced mitophagy activity is reduced in HEK293 FlpIn TRIM27 knockout cells, while re-introduction of EGFP-TRIM27 completely restores the mitophagy activity. Inhibition of TBK1 reduces mitophagy in HEK293 FlpIn cells and in the reconstituted EGFP-TRIM27-expressing cells, but not in HEK293 FlpIn TRIM27 knockout cells. Altogether, these data reveal novel roles for TRIM27 in mitophagy, facilitating mitochondrial clustering via SQSTM1/p62 and mitophagy via stabilization of phosphorylated TBK1 on mitochondria

Phenology and Environmental Control of Phytoplankton Blooms in the Kong Håkon VII Hav in the Southern Ocean

Knowing the magnitude and timing of pelagic primary production is important for ecosystem and carbon sequestration studies, in addition to providing basic understanding of phytoplankton functioning. In this study we use data from an ecosystem cruise to Kong Håkon VII Hav, in the Atlantic sector of the Southern Ocean, in March 2019 and more than two decades of satellite-derived ocean color to study phytoplankton bloom phenology. During the cruise we observed phytoplankton blooms in different bloom phases. By correlating bloom phenology indices (i.e., bloom initiation and end) based on satellite remote sensing to the timing of changes in environmental conditions (i.e., sea ice, light, and mixed layer depth) we studied the environmental factors that seemingly drive phytoplankton blooms in the area. Our results show that blooms mainly take place in January and February, consistent with previous studies that include the area. Sea ice retreat controls the bloom initiation in particular along the coast and the western part of the study area, whereas bloom end is not primarily connected to sea ice advance. Light availability in general is not appearing to control the bloom termination, neither is nutrient availability based on the autumn cruise where we observed non-depleted macronutrient reservoirs in the surface. Instead, we surmise that zooplankton grazing plays a potentially large role to end the bloom, and thus controls its duration. The spatial correlation of the highest bloom magnitude with marked topographic features indicate that the interaction of ocean currents with sea floor topography enhances primary productivity in this area, probably by natural fertilization. Based on the bloom timing and magnitude patterns, we identified five different bloom regimes in the area. A more detailed understanding of the region will help to highlight areas with the highest relevance for the carbon cycle, the marine ecosystem and spatial management. With this gained understanding of bloom phenology, it will also be possible to study potential shifts in bloom timing and associated trophic mismatch caused by environmental changes.publishedVersio