Don’t Give up on Nuclear Energy

The nuclear power plant failures at Three Mile Island and Chernobyl in the late 1970s and 1980s split Americans into two passionate camps. For some, nuclear plants posed serious threats to both environmental and national security, and, for others, nuclear energy remained the most viable path to clean, reliable power in the United States. But following the fervent debates of the late 20th century, the national conversation around nuclear power stagnated. A few ardent advocates and opponents notwithstanding, nuclear power left the public eye. Popular energy debates—especially among young people—now center around flashier topics like the Green New Deal, electric vehicles, and Greta Thunberg. In light of the collective avoidance of nuclear power, support in the U.S. recently reached an all-time low—although the slight majority opposition fails to tell the entire story. Rather than carefully researching the pros and cons of new advancements in nuclear power, many Americans maintain decades-old opinions, parrot the viewpoints of media personalities, or avoid thinking about nuclear energy entirely. While brushing a topic as difficult as nuclear power under the rug seems the most convenient option, one problem remains—Americans can’t afford to abandon nuclear power. First, let’s state the obvious: Anthropogenic contributions to climate change pose serious threats to the planet, and carbon dioxide released into the atmosphere plays a sizeable role in humanity’s impact on the environment. Crucially, though, nuclear plants generate vast amounts of power without directly emitting CO2. Furthermore, nuclear energy’s current technological capabilities—unlike other renewable technologies—can provide reliable baseload electricity in nearly every corner of the world. Yet the current state of nuclear power is what causes such angst among nuclear skeptics. Most nuclear plants came online between 1970 and 1990, and the infamous disasters of Three Mile Island, Chernobyl, and Fukushima originated from freak failures in dated technology. Additionally, traditional nuclear plants take billions of dollars and many years to build, all while creating the problem of non-disposable, highly radioactive waste. The perceived health risks of nuclear power, though, falter under further examination. In fact, the use of nuclear power over fossil fuels such as coal or natural gas prevented an estimated 1.8 million net deaths between 1971-2009. As for cost and waste-related worries, traditional nuclear plants do come with high capital costs and create radioactive waste, but the levelized costs of nuclear energy—the minimum price of electricity for the project to break even—tell a different story. In 2020, the levelized cost of nuclear plants coming online was $95.2/MWh, comparable to conventional coal ($95.1/MWh) and below conventional combustion turbine natural gas-fired plants ($141.5/MWh). Additionally, new technologies promise to change the landscape of nuclear power. Companies like NuScale Power, for example, propose a small, modular reactor with a simplified design capable of shipment by truck, rail, or barge and projected to be commercially available by 2025. This modular reactor greatly reduces construction and operating costs, consequently emerging as a viable option for clean, baseload power generation in smaller communities. Another company, TerraPower, has designed a nuclear reactor capable of utilizing fuel made from depleted uranium, the byproduct of traditional nuclear plants. Commercial use of this technology would reduce nuclear proliferation concerns, lower costs, and protect the environment by eliminating existing nuclear waste. Countless additional examples of advanced nuclear technologies exist, and it is in our best interests—environmentally and financially—to give them serious consideration. Even if modern nuclear plants fail to act as a panacea to the world’s energy problems, they may prove beneficial in regions lacking the necessary conditions to survive off solar, hydro, and wind power alone—at least until large scale storage and transportation of renewable energy becomes viable. Simply put, advanced nuclear power’s potential justifies significant investment in further research. Considering the climate-related challenges before us, to outwardly dismiss such an impactful technology would be foolish

Impact of COVID-19 on Demand for Distillers Grains from Livestock Operations

Government and industry responses to COVID-19 cases have created a variety of unique situations in the agriculture industry. Stay-at-home orders forced consumers to be homebound, increasing the demand for food in grocery stores while reducing the need for food in restaurants. These caused a series of rapidly changing supply and demand conditions along the livestock supply chain. Meat destined for restaurants need to be repacked and reprocessed to make it compatible to sell in grocery stores. Meat packing plants continued to try to process harvest-ready animals, but a growing number of positive cases among plant workers forced idling, reduced plant utilizations, and - in some cases - resulted in closures. This created a temporary supply surplus situation for livestock producers while creating a meat shortage for retailers. Since price reflects scarcity in a market system, livestock crash prices dropped and wholesale cut-out prices rose. The cumulative effect was livestock producers selling livestock far below breakeven prices

Economic Research on Ethanol Feed-Use Coproducts: A Review, Synthesis, and Path Forward

During the mid-2000s to the early 2010s, the domestic ethanol industry witnessed substantial growth, with ethanol coproducts emerging as vital elements for plant profitability and livestock feeding. Initially serving as supplementary revenue streams, coproducts from ethanol production have evolved into diverse value-added offerings, bolstering revenue streams, and sustaining profit margins. This study reviews existing economic research on ethanol coproducts, detailing methodologies, product focus, and research locations. Initially gathering 972 articles from 9 databases, 110 articles were synthesized. We find that most studies primarily examined the growth and future of the ethanol industry with a limited focus on specific coproducts. Feed-use distillers’ grains, especially dried distillers’ grains, were the most widely published while newer coproducts like pelletized, deoiled, and high-protein distillers’ grains were relatively understudied. Non-feed-use products were notably overlooked, highlighting the need for exploration beyond conventional applications. The evolving market landscape for ethanol co-products has surpassed published academic understanding of the economic tradeoffs necessitating further research into product dynamics, pricing, marketing, market structures, and regulatory frameworks. This highlights and underscores the importance of investigating value-added grains across diverse commodities and geographic contexts to inform strategic decision-making and policy formulation

CpG-ODN-induced sustained expression of BTLA mediating selective inhibition of human B cells

BTLA (B- and T-lymphocyte attenuator) is a prominent co-receptor that is structurally and functionally related to CTLA-4 and PD-1. In T cells, BTLA inhibits TCR-mediated activation. In B cells, roles and functions of BTLA are still poorly understood and have never been studied in the context of B cells activated by CpG via TLR9. In this study, we evaluated the expression of BTLA depending on activation and differentiation of human B cell subsets in peripheral blood and lymph nodes. Stimulation with CpG upregulated BTLA, but not its ligand: herpes virus entry mediator (HVEM), on B cells in vitro and sustained its expression in vivo in melanoma patients after vaccination. Upon ligation with HVEM, BTLA inhibited CpG-mediated B cell functions (proliferation, cytokine production, and upregulation of co-stimulatory molecules), which was reversed by blocking BTLA/HVEM interactions. Interestingly, chemokine secretion (IL-8 and MIP1β) was not affected by BTLA/HVEM ligation, suggesting that BTLA-mediated inhibition is selective for some but not all B cell functions. We conclude that BTLA is an important immune checkpoint for B cells, as similarly known for T cell

Hybrid Quantum and Classical Mechanical Monte Carlo Simulations of the Interaction of Hydrogen Chloride with Solid Water Clusters

Monte Carlo simulations using a hybrid quantum and classical mechanical potential were performed for crystal and amorphous-like HCl-water(n) clusters The subsystem composed by HCl and one water molecule was treated within Density Functional Theory, and a classical force field was used for the rest of the system. Simulations performed at 200 K suggest that the energetic feasibility of HCl dissociation strongly depends on its initial placement within the cluster. An important degree of ionization occurs only if HCl is incorporated into the surface. We observe that local melting does not play a crucial role in the ionization process.Comment: 14 Latex pages with 4 postscript figures, to appear in Chem. Phys. Let

Keep up with the winners: Experimental evidence on risk taking, asset integration, and peer effects

The paper reports the result of an experimental game on asset integration and risk taking. We find some evidence that winnings in earlier rounds affect risk taking in subsequent rounds, but no evidence that real life wealth outside the experiment affects risk taking. Controlling for past winnings, participants receiving a low endowment in a round engage in more risk taking. We test a ‘keeping-up-with-the-Joneses’ hypothesis and find that subjects seek to keep up with winners, though not necessarily with average earnings. Overall, the evidence suggests that risk taking tracks a reference point affected by social comparisons

Reduced emissions from deforestation and forest degradation (REDD): a climate change mitigation strategy on a critical track

<p>Abstract</p> <p>Background</p> <p>Following recent discussions, there is hope that a mechanism for reduction of emissions from deforestation and forest degradation (REDD) will be agreed by the Parties of the UNFCCC at their 15th meeting in Copenhagen in 2009 as an eligible action to prevent climate changes and global warming in post-2012 commitment periods. Countries introducing a REDD-regime in order to generate benefits need to implement sound monitoring and reporting systems and specify the associated uncertainties. The principle of conservativeness addresses the problem of estimation errors and requests the reporting of reliable minimum estimates (RME). Here the potential to generate benefits from applying a REDD-regime is proposed with reference to sampling and non-sampling errors that influence the reliability of estimated activity data and emission factors.</p> <p>Results</p> <p>A framework for calculating carbon benefits by including assessment errors is developed. Theoretical, sample based considerations as well as a simulation study for five selected countries with low to high deforestation and degradation rates show that even small assessment errors (5% and less) may outweigh successful efforts to reduce deforestation and degradation.</p> <p>Conclusion</p> <p>The generation of benefits from REDD is possible only in situations where assessment errors are carefully controlled.</p

Towards an Intelligent Tutor for Mathematical Proofs

Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook-style mathematical proofs. We characterize the particularities of the domain and discuss common ITS design models. Our approach is motivated by phenomena found in a corpus of tutorial dialogs that were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor for textbook-style mathematical proofs can be built on top of an adapted assertion-level proof assistant by reusing representations and proof search strategies originally developed for automated and interactive theorem proving. The resulting prototype was successfully evaluated on a corpus of tutorial dialogs and yields good results.Comment: In Proceedings THedu'11, arXiv:1202.453

PDE-4 inhibition rescues aberrant synaptic plasticity in Drosophila and mouse models of fragile X syndrome.

Fragile X syndrome (FXS) is the leading cause of both intellectual disability and autism resulting from a single gene mutation. Previously, we characterized cognitive impairments and brain structural defects in a Drosophila model of FXS and demonstrated that these impairments were rescued by treatment with metabotropic glutamate receptor (mGluR) antagonists or lithium. A well-documented biochemical defect observed in fly and mouse FXS models and FXS patients is low cAMP levels. cAMP levels can be regulated by mGluR signaling. Herein, we demonstrate PDE-4 inhibition as a therapeutic strategy to ameliorate memory impairments and brain structural defects in the Drosophila model of fragile X. Furthermore, we examine the effects of PDE-4 inhibition by pharmacologic treatment in the fragile X mouse model. We demonstrate that acute inhibition of PDE-4 by pharmacologic treatment in hippocampal slices rescues the enhanced mGluR-dependent LTD phenotype observed in FXS mice. Additionally, we find that chronic treatment of FXS model mice, in adulthood, also restores the level of mGluR-dependent LTD to that observed in wild-type animals. Translating the findings of successful pharmacologic intervention from the Drosophila model into the mouse model of FXS is an important advance, in that this identifies and validates PDE-4 inhibition as potential therapeutic intervention for the treatment of individuals afflicted with FXS