Crane Shaking Platform Design

Most of the control methodology of Mobile hydraulic crane is not as energy efficient as people think or want, and the desire to innovate novel, energy-efficient control strategy is the target of most hydraulic experts. To develop or test the control method under real road and off-road conditions, a platform that could simulate the movement and vibration of the crane truck is desired. To design and build the multi-operation platform, a design process includes brain storming, design selection, FEA (Fundamental Element Analysis), mechanical sizing, hydraulic sizing and Bill of Material is required and preferred. After going through all the steps mentioned above, the design that use simple cylinders in the vertical position has been selected, and the proper dimension has been settled down. Most of the part are directly sponsored by Parker, CO, the sponsor of MAHA lab. The design method and process is duplicable and could be used to design other similar or relative products

What drives the European carbon market? Macroeconomic factors and forecasts

Putting a price on carbon -- with taxes or developing carbon markets -- is a widely used policy measure to achieve the target of net-zero emissions by 2050. This paper tackles the issue of producing point, direction-of-change, and density forecasts for the monthly real price of carbon within the EU Emissions Trading Scheme (EU ETS). We aim to uncover supply- and demand-side forces that can contribute to improving the prediction accuracy of models at short- and medium-term horizons. We show that a simple Bayesian Vector Autoregressive (BVAR) model, augmented with either one or two factors capturing a set of predictors affecting the price of carbon, provides substantial accuracy gains over a wide set of benchmark forecasts, including survey expectations and forecasts made available by data providers. We extend the study to verified emissions and demonstrate that, in this case, adding stochastic volatility can further improve the forecasting performance of a single-factor BVAR model. We rely on emissions and price forecasts to build market monitoring tools that track demand and price pressure in the EU ETS market. Our results are relevant for policymakers and market practitioners interested in monitoring the carbon market dynamics.Comment: The Supplementary Material is available upon request to the author

The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime

Modern machine learning models are often so complex that they achieve vanishing classification error on the training set. Max-margin linear classifiers are among the simplest classification methods that have zero training error (with linearly separable data). Despite their simplicity, their high-dimensional behavior is not yet completely understood. We assume to be given i.i.d. data $(y_i,{\boldsymbol x}_i)$, $i\le n$ with ${\boldsymbol x}_i\sim {\sf N}(0,{\boldsymbol \Sigma})$ a $p$-dimensional feature vector, and $y_i \in\{+1,-1\}$ a label whose distribution depends on a linear combination of the covariates $\langle{\boldsymbol\theta}_*,{\boldsymbol x}_i\rangle$. We consider the proportional asymptotics $n,p\to\infty$ with $p/n\to \psi$, and derive exact expressions for the limiting prediction error. Our asymptotic results match simulations already when $n,p$ are of the order of a few hundreds. We explore several choices for $({\boldsymbol \theta}_*,{\boldsymbol \Sigma})$, and show that the resulting generalization curve (test error error as a function of the overparametrization $\psi=p/n$) is qualitatively different, depending on this choice. In particular we consider a specific structure of $({\boldsymbol \theta}_*,{\boldsymbol\Sigma})$ that captures the behavior of nonlinear random feature models or, equivalently, two-layers neural networks with random first layer weights. In this case, we aim at classifying data $(y_i,{\boldsymbol x}_i)$ with ${\boldsymbol x}_i\in{\mathbb R}^d$ but we do so by first embedding them a $p$ dimensional feature space via ${\boldsymbol x}_i\mapsto\sigma({\boldsymbol W}{\boldsymbol x}_i)$ and then finding a max-margin classifier in this space. We derive exact formulas in the proportional asymptotics $p,n,d\to\infty$ with $p/d\to\psi_1$, $n/d\to\psi_2$ and observe that the test error is minimized in the highly overparametrized regime $\psi_1\gg 0$.Comment: 73 pages; 12 pdf figures (Added formulas for wide asymptotics, and distribution of the coordinates of the estimator

Strategies to rescue the consequences of inducible arginase-1 deficiency in mice

Arginase-1 catalyzes the conversion of arginine to ornithine and urea, which is the final step of the urea cycle used to remove excess ammonia from the body. Arginase-1 deficiency leads to hyperargininemia in mice and man with severe lethal consequences in the former and progressive neurological impairment to varying degrees in the latter. In a tamoxifen-induced arginase-1 deficient mouse model, mice succumb to the enzyme deficiency within 2 weeks after inducing the knockout and retain <2 % enzyme in the liver. Standard clinical care regimens for arginase-1 deficiency (low-protein diet, the nitrogen-scavenging drug sodium phenylbutyrate, ornithine supplementation) either failed to extend lifespan (ornithine) or only minimally prolonged lifespan (maximum 8 days with low-protein diet and drug). A conditional, tamoxifen-inducible arginase-1 transgenic mouse strain expressing the enzyme from the Rosa26 locus modestly extended lifespan of neonatal mice, but not that of 4-week old mice, when crossed to the inducible arginase-1 knockout mouse strain. Delivery of an arginase-1/enhanced green fluorescent fusion construct by adeno-associated viral delivery (rh10 serotype with a strong cytomegalovirus-chicken beta-actin hybrid promoter) rescued about 30% of male mice with lifespan prolongation to at least 6 months, extensive hepatic expression and restoration of significant enzyme activity in liver. In contrast, a vector of the AAV8 serotype driven by the thyroxine-binding globulin promoter led to weaker liver expression and did not rescue arginase-1 deficient mice to any great extent. Since the induced arginase-1 deficient mouse model displays a much more severe phenotype when compared to human arginase-1 deficiency, these studies reveal that it may be feasible with gene therapy strategies to correct the various manifestations of the disorder and they provide optimism for future clinical studies

Trust, Criticality, & the Open Web: Three Approaches to Teaching Lateral Reading

Presentation presented at 2021 ACRL conference. Learning objectives: Become familiar with the practice and importance of lateral reading (LR) and the skills and mindsets it involves. Become familiar with different approaches to teaching LR and challenges of learning and teaching about it. Reflect on the potential relevance and applications of LR in your own teaching context. Description: Lateral reading - the process of moving off of a webpage to see what others say about it - has become critical for effectively evaluating online sources. While lateral reading appears simple, teaching it reveals layers of complexity, which include deciding where to place one’s trust; how some voices are privileged while others are marginalized; and the impulse of many online readers to focus more on surface features of web sources over more critical questions and analysis. Presenters from three institutions will share about their varied experiences teaching lateral reading to undergraduate students: in a credit-bearing information literacy course that explored information ethics and social justice in relation to networked media systems; through a scaffolded online tutorial through which students practice source evaluation with lateral reading; and in flipped information literacy instruction sessions designed for first-year writing classes on investigating sources and finding better coverage for news stories

The cold denaturation of IscU highlights structure–function dualism in marginally stable proteins

Proteins undergo both cold and heat denaturation, but often cold denaturation cannot be detected because it occurs at temperatures below water freezing. Proteins undergoing detectable cold as well as heat denaturation yield a reliable curve of protein stability. Here we use bacterial IscU, an essential and ancient protein involved in iron cluster biogenesis, to show an important example of unbiased cold denaturation, based on electrostatic frustration caused by a dualism between iron–sulfur cluster binding and the presence of a functionally essential electrostatic gate. We explore the structural determinants and the universals that determine cold denaturation with the aid of a coarse grain model. Our results set a firm point in our understanding of cold denaturation and give us general rules to induce and predict protein cold denaturation. The conflict between ligand binding and stability hints at the importance of the structure–function dualism in protein evolution. Proteins can undergo both heat and cold denaturation, and in marginally stable proteins this is often controlled by electrostatic frustration. Here, the authors find that residues essential for protein function are also structural determinants for cold denaturation

Modified Mediterranean Diet Score and Cardiovascular Risk in a North American Working Population

Introduction: Greater adherence to a Mediterranean diet is linked to lower risk for cardiovascular morbidity/mortality in studies of Mediterranean cohorts, older subjects, and/or those with existing health conditions. No studies have examined the effects of this dietary pattern in younger working populations in the United States. We investigated the effects of Mediterranean diet adherence on cardiovascular disease (CVD) biomarkers, metabolic syndrome and body composition in an occupationally active, non-Mediterranean cohort. Methods: A cross-sectional study in a cohort of 780 career male firefighters, ages 18 years or older, from the United States Midwest. No dietary intervention was performed. A modified Mediterranean diet score (mMDS) was developed for assessment of adherence to a Mediterranean dietary pattern from a previously administered life-style questionnaire that examined pre-existing dietary habits. Clinical data from fire department medical examinations were extracted and analyzed. Results: Obese subjects had significantly lower mMDS, and they reported greater fast/take-out food consumption (p<0.001) and intake of sweetened drinks during meals (p = 0.002). After multivariate adjustment, higher mMDS was inversely related to risk of weight gain over the past 5 years (odds ratio [OR]: 0.57, 95% confidence interval [CI]: 0.39–0.84, p for trend across score quartiles: 0.01); as well as the presence of metabolic syndrome components (OR: 0.65, 95% CI: 0.44–0.94, p for trend across score quartiles: 0.04). Higher HDL-cholesterol (p = 0.008) and lower LDL-cholesterol (p = 0.04) were observed in those with higher mMDS in linear regression after multivariate adjustment for age, BMI and physical activity. Conclusions: In a cohort of young and active US adults, greater adherence to a Mediterranean-style dietary pattern had significant inverse associations with metabolic syndrome, LDL-cholesterol and reported weight gain, and was significantly and independently associated with higher HDL-cholesterol. Our results support the potential effectiveness of this diet in young, non-Mediterranean working cohorts, and justify future intervention studies

Cyclin-dependent Kinase Inhibitor 3 (CDKN3) Mediates the Antiviral Effect of Alpha Interferon against HBV Replication through Inhibition of Pregenomic RNA Encapsidation

poster abstractHBV capsid (core) protein is a phosphoprotein that contains three major serine phosphoacceptor sites in its C-terminal domain. In our effort to investigate the potential site-specific and combinational roles of serine phosphorylation in HBV DNA replication, we found that the primary effect of core phosphorylation on HBV replication was on the pregenomic (pg) RNA encapsidation step. Further mechanistic studies revealed that the core phosphorylation state-dependent interaction between viral core and polymerase (pol) plays a critical role in HBV pgRNA encapsidation. It has been well documented that IFN-α prevents HBV pgRNA encapsidation in cell cultures, however, the underlying molecular mechanisms remain unclear. We report herein that IFN-α-elicited inhibition of HBV pgRNA encapsidation is associated with a loss of core/pol interaction without affecting the steady state level of either protein, indicating that IFN-α inhibits HBV pgRNA encapsidation through blocking core phosphorylation-dependent interaction with pol. Since cyclin-dependent kinase 2 (CDK2) was identified as a kinase for HBV core, we next analyzed the inductivity of CDK2 and its associated regulatory factors in IFN-α-treated cells. We found that a cellular CDK2 inhibitor, cyclin-dependent Kinase Inhibitor 3 (CDKN3), was significantly upregulated by IFN-α. We further demonstrated that overexpression of CDKN3 inhibited core/pol interaction and subsequent pgRNA encapsidation and DNA replication, which is reminiscent of IFN-α’s anti-HBV activity. What’s more, knockdown of CDKN3 in HBV replicating cells completely attenuated IFN-α-mediated inhibition of HBV core/pol interaction and pgRNA encapsidation. Taken together, CDKN3 is a host restriction factor for HBV replication through inhibition of viral nucleocapsid formation, and it plays a dominant role in IFN-α-elicited antiviral activity against HBV in cell cultures. The detailed profile of CDKN3-mediated alteration of HBV core phosphorylation in the context of IFN-α treatment is currently under investigation