Critical Core Research Articles

Identification of core genes and molecular prediction of drug targets for countering BPA-induced olfactory bulb neurotoxicity in male mice

Bisphenol A (BPA) is ubiquitous in plastics, which can modify and improve the applicability and durability of plastics. Previous laboratory studies have shown that BPA can trigger cognitive impairment and depression. The olfactory bulb (OB) is significantly related to cognition and depression. However, there is a deficiency in information on BPA-induced OB neurotoxicity. Therefore, we analyzed the OB tissues of male mice at the transcriptional level after BPA poisoning at four different levels of concentration (0, 0.01, 0.1, and 1 μg/mL). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and weighted gene co-expression network analysis (WGCNA) were used to screen critical pathways and core genes. The result demonstrated that the PI3K-AKT signaling pathway might play a crucial role in the effects of BPA on the OB. In addition, two genes of the PI3K-AKT signaling pathway, the colony stimulating factor-1 receptor (Csf1r) and the toll-like receptor 2 (Tlr2), were screened by the protein-protein interaction networks. Furthermore, molecular docking identified ceftolozane as a potential drug candidate that could counteract BPA-related OB neurotoxicity. Conclusively, our results confirmed that BPA induced OB damage in male mice through the PI3K-AKT pathway and proposed that ceftolozane might reduce BPA-induced OB neurotoxicity.

Construction of Akushsky Core Functions Without Critical Cores

The residue number system is widely used in cryptography, digital signal processing, image processing systems, and other areas where high-performance computing is required. One of the main tools used in the residue number system is the Akushsky core function. However, its use is limited due to the existence of so-called critical cores. This study aims to develop Akushsky core functions that effectively eliminate the occurrence of critical cores, thereby enhancing their applicability in real-world scenarios. We introduce a fundamental approach to critical core detection that reduces the average time for critical core detection by 99.48% compared to the brute force algorithm. The results of our analysis indicate not only a substantial improvement in the speed of core detection but also an enhancement in the overall performance of systems utilizing the Akushsky core function. Our findings provide important insights into optimizing residue number systems and encourage further exploration into advanced computational techniques within this domain.

Quasi-Planar Core Based Spiro-Type Hole-Transporting Material for Dopant-Free Perovskite Solar Cells.

Hole-transporting material (HTMs) are crucial for obtaining the stability and high efficiency of perovskite solar cells (PSCs). However, the current state-of-the-art n-i-p PSCs relied on the use of 2,2',7,7'-tetrakis(N,N-di-p-methoxyphenylamine)-9,9'-spirobifluorene (spiro-OMeTAD) exhibit inferior intrinsic and ambient stability due to the p-dopant and hydrophilic Li-TFSI additive. In this study, a new spiro-type HTM with a critical quasi-planar core (Z-W-03) is developed to improve both the thermal and ambient stability of PSCs. The results suggest that the planar carbazole structure effectively passivates the trap states compared to the triphenylamine with a propeller-like conformation in spiro-OMeTAD. This passivation effect leads to the shallower trap states when the quasi-planar HTMs interact with the Pb-dimer. Consequently, the device using Z-W-03 achieves a higher Voc of 1.178 V compared to the spiro-OMeTAD's 1.155 V, resulting in an enhanced efficiency of 24.02 %. In addition, the double-column π-π stacking of Z-W-03 results in high hole mobility (~10-4 cm2 V-1 s-1) even without p-dopant. Moreover, when the surface interface is modified, the undoped Z-W-03 device can achieve an efficiency of nearly 23 %. Compared to the PSCs using spiro-OMeTAD, those with Z-W-03 exhibit enhanced stability under N2 and ambient conditions. This superior performance is attributed to the quasi-planar core structure and the presence of multiple CH/π and π-π intermolecular stacking in Z-W-03. The multiple CH/π and π-π intermolecular contacts of HTMs can improve the hole hopping transport. Therefore, it is imperative to focus on further molecular structure design and optimization of spiro-type HTMs incorporating quasi-planar cores and carbazole moieties for the commercialization of PSCs.

Analyzing critical core components’ technology opportunities based on multilayer networks from a lifecycle perspective: A case study of offshore wind turbine foundation

Among renewable energy sources, offshore wind power has emerged as an important trend due to its more stable and powerful wind resources. Advances in the fundamental technology of offshore wind turbines are crucial for ensuring the long-term feasibility and reliability of wind power projects. Existing technology opportunity analysis (TOA) studies based on link prediction network analysis seldom consider the technical characteristics of the target component from different perspectives, such as lifecycle. In this study, we propose a framework to analyze technology opportunities for offshore wind turbine foundations. The method consists of four steps: 1) Collect patents related to the target component. 2) Use BERT to automatically layer patents into corresponding lifecycle stages. 3) Build a multilayer network centered on the target component. 4) Use link prediction to recommend technology opportunities throughout the lifecycle and at each stage of the target component. Using offshore wind power foundations as an example, the effectiveness of the method is verified. Our findings indicate that improvements in structural arrangements of foundations and anti-corrosion coatings are future technology opportunities for offshore wind power foundations. Multilayer network analysis based on link prediction from a lifecycle perspective provides a valuable reference for future TOA research and practice. Additionally, it offers enterprises insights into future technology opportunities at various lifecycle stages, presenting a new perspective for optimizing R&D resource allocation and market positioning based on these results.

Benchmark Analysis of a Prismatic Type-high Temperature Gas-cooled Reactor with the ENDF/B-VII.0, ENDF/B-VII.1 and ENDF/B-VIII.0 Nuclear Data Libraries

In this work we performed a benchmark analysis of the High Temperature Engineering Test Reactor (HTTR) fully-loaded start-up critical core with a 30-bundle loading configuration using the Monte Carlo code Serpent 2 with the recently released nuclear data libraries ENDF/B-VII.0, ENDF/B-VII.1 and ENDF/B-VIII.0. The purpose of the work is to reveal the impacts of using different ENDF nuclear data libraries on neutronics calculations of a prismatic high temperature gas-cooled reactor (HTGR). The benchmark results obtained with Serpent 2 were compared against the available experimental values and those attained by different computer codes (MCNP5 and SCALE) using the nuclear data library ENDF/B-VII.0. The comparative results showed good agreement between Serpent 2, the experimental values, MCNP5 and SCALE. The results also exhibited a notable difference between using ENDF/B-VII.0, ENDF/B-VII.1 and ENDF/B-VIII.0 in predicting the neutronics parameters of the HTTR that suggests further investigation in future work.

The Impact of Digital Transformation on the Sustainable Growth of Specialized, Refined, Differentiated, and Innovative Enterprises: Based on the Perspective of Dynamic Capability Theory

The sustainable growth and development of SRDI (specialized, refined, differentiated, and innovative) enterprises is an important foundation for promoting critical core technology breakthroughs and achieving high-quality economic development. Digital transformation is a power source that cannot be ignored in the process of enterprise growth. Based on the dynamic capability theory, this paper takes the listed national-level SRDI “Little Giants” enterprises in China from 2015 to 2022 as the research sample and empirically analyzes the intrinsic influence mechanism of digital transformation on the sustainable growth of SRDI enterprises. The study results show that digital transformation has a positive impact on both dynamic capabilities and the sustainable growth of SRDI enterprises. Dynamic capabilities positively affect the sustainable growth of SRDI enterprises, and the coordination and integration capability and learning and absorption capability of dynamic capabilities play a mediating role between digital transformation and the sustainable growth of SRDI enterprises. In addition, this study further finds that the contribution of digital transformation to the sustainable growth of SRDI enterprises is more significant among smaller enterprises, non-state-owned enterprises, and manufacturing enterprises. The findings enrich the research on the theoretical mechanisms of digital transformation for enterprise growth and provide empirical evidence and practical insights for the survival and development of SRDI enterprises and other small and medium-sized enterprises.

How can regional innovation ecosystems attain and maintain stable operation? - an investigation utilising NCA and fsQCA

ABSTRACT This study uses the Multi-Level Perspective (MLP) on socio-technical transitions to develop a theoretical model for analyzing the stable operation of regional innovation ecosystems. Focusing on 30 provinces in China, it employs Necessary Condition Analysis (NCA) and Fuzzy-set Qualitative Comparative Analysis (fsQCA) to systematically examine the configuration paths driving their stability. First, the findings reveal that innovation actors, resources, driving policies, industrial regulations, infrastructures, and the innovation environment are not individually necessary for stability. However, infrastructure is identified as a critical core condition. The study highlights a complex causal relationship and synergistic interplay among the six antecedent conditions. Second, the research identifies two paths to highly stable operation in regional innovation ecosystems: the ‘Innovation Actor + Infrastructure’ path and the ‘Infrastructure’ path. Finally, the results show that configurations for highly and non-highly stable operations exhibit causal asymmetry, indicating ‘different paths to the same destination.’ This study deepens theoretical insights into regional innovation ecosystems and offers actionable strategies for their stable operation.

Local perturbation of critical subgraph based social network structural privacy protection

In social networks, the direct exposure of structural data containing numerous authentic relationships significantly risks user privacy leakage. Thus, safeguarding the privacy of such data has emerged as a pressing concern. Existing methodologies commonly employ global perturbation, randomly altering the network structure and resulting in diminished data availability upon publication. Notably, these methods often overlook the privacy implications associated with critical nodes and diverse structural features within subgraphs, thereby exacerbating the risk of privacy breaches. In response to these challenges, we present a novel privacy protection approach, termed CGLP, tailored for social network structures and centered on the concept of local perturbation of critical subgraphs. Specifically, CGLP meticulously identifies critical nodes, factoring in local structural complexity and positional features, and subsequently identifies subcritical nodes exhibiting structural similarity through graph embedding and clustering. The method further constructs critical node subgraph and core critical node subgraphs. Crucially, diverse local perturbation methods are strategically designed for subgraphs with varying structural features, mitigating the potential issues of under-protection and over-protection. Evaluation results on real datasets demonstrate that CGLP effectively balances the availability and privacy of the published network structure, concurrently addressing the privacy concerns associated with critical nodes.

Unraveling the mechanism of thermotolerance by Set302 in Cryptococcus neoformans.

The underlying mechanism of thermotolerance, which is a key virulence factor essential for pathogenic fungi such as Cryptococcus neoformans, is largely unexplored. In this study, our findings suggest that Set302, a homolog of Set3 and a subunit of histone deacetylase complex Set3C, contributes to thermotolerance in C. neoformans. Specifically, the deletion of the predicted Set3C core subunit, Set302, resulted in further reduction in the growth of C. neoformans at 39°C, and survival of transient incubation at 50°C. Transcriptomics analysis revealed that the expression levels of numerous heat stress-responsive genes altered at both 30°C and 39°C due to the lack of Set302. Notably, at 39°C, the absence of Set302 led to the downregulation of gene expression related to the ubiquitin-proteasome system (UPS). Based on the GFP-α-synuclein overexpression model to characterize misfolded proteins, we observed a pronounced accumulation of misfolded GFP-α-synuclein at 39°C, consequently inhibiting C. neoformans thermotolerance. Furthermore, the loss of Set302 exacerbated the accumulation of misfolded GFP-α-synuclein during heat stress. Interestingly, the set302∆ strain exhibited a similar phenotype under proteasome stress as it did at 39°C. Moreover, the absence of Set302 led to reduced production of capsule and melanin. set302∆ strain also displayed significantly reduced pathogenicity and colonization ability compared to the wild-type strain in the murine infection model. Collectively, our findings suggest that Set302 modulates thermotolerance by affecting the degradation of misfolded proteins and multiple virulence factors to mediate the pathogenicity of C. neoformans.IMPORTANCECryptococcus neoformans is a pathogenic fungus that poses a potential and significant threat to public health. Thermotolerance plays a crucial role in the wide distribution in natural environments and host colonization of this fungus. Herein, Set302, a critical core subunit for the integrity of histone deacetylase complex Set3C and widely distributed in various fungi and mammals, governs thermotolerance and affects survival at extreme temperatures as well as the formation of capsule and melanin in C. neoformans. Additionally, Set302 participates in regulating the expression of multiple genes associated with the ubiquitin-proteasome system (UPS). By eliminating misfolded proteins under heat stress, Set302 significantly contributes to the thermotolerance of C. neoformans. Moreover, Set302 regulates the pathogenicity and colonization ability of C. neoformans in a murine model. Overall, this study provides new insight into the mechanism of thermotolerance in C. neoformans.

Defining a core breath profile for healthy, non-human primates

Non-human primates remain the most useful and reliable pre-clinical model for many human diseases. Primate breath profiles have previously distinguished healthy animals from diseased, including non-human primates. Breath collection is relatively non-invasive, so this motivated us to define a healthy baseline breath profile that could be used in studies evaluating disease, therapies, and vaccines in non-human primates. A pilot study, which enrolled 30 healthy macaques, was conducted. Macaque breath molecules were sampled into a Tedlar bag, concentrated onto a thermal desorption tube, then desorbed and analyzed by comprehensive two-dimensional gas chromatography-time of flight mass spectrometry. These breath samples contained 2,017 features, of which 113 molecules were present in all breath samples. The core breathprint was dominated by aliphatic hydrocarbons, aromatic compounds, and carbonyl compounds. The data were internally validated with additional breath samples from a subset of 19 of these non-human primates. A critical core consisting of 23 highly abundant and invariant molecules was identified as a pragmatic breathprint set, useful for future validation studies in healthy primates.

Critical environmental core temperature limits and heart rate thresholds across the adult age span (PSU HEAT Project).

The frequency, duration, and severity of extreme heat events have increased and are projected to continue to increase throughout the next century. As a result, there is an increased risk of excessive heat- and cardiovascular-related morbidity and mortality during these extreme heat events. Therefore, the purposes of this investigation were to establish 1) critical environmental core temperature (Tc) limits for middle-aged adults (MA), 2) environmental thresholds that cause heart rate (HR) to progressively rise in MA and older (O) adults, and 3) examine critical environmental Tc limits and HR environmental thresholds across the adult age span. Thirty-three young (Y) (15 F; 23 ± 3 yr), 28 MA (17 F; 51 ± 6 yr), and 31 O (16 F; 70 ± 3 yr) subjects were exposed to progressive heat stress in an environmental chamber in a warm-humid (WH, 34-36°C, 50-90% rh) and a hot-dry (HD, 38°C-52°C, <30% rh) environment while exercising at a low metabolic rate reflecting activities of daily living (∼1.8 METs). In both environments, there was a main effect of age on the critical environmental Tc limit and environmental HR thresholds (main effect of age all P < 0.001). Across the lifespan, critical environmental Tc and HR thresholds decline linearly with age in HD environments (R2 ≥ 0.3) and curvilinearly in WH environments (R2 ≥ 0.4). These data support an age-associated shift in critical environmental Tc limits and HR thresholds toward lower environmental conditions and can be used to develop evidence-based safety guidelines to minimize future heat-related morbidity and mortality across the adult age span.NEW & NOTEWORTHY This study is the first to identify critical environmental core temperature and heart rate thresholds across the adult age spectrum. In addition, our data demonstrate that the rate of decline in Tc and HR limits with age is environmental-dependent. These findings provide strong empirical data for the development of safety guidelines and policy decisions to mitigate excessive heat- and cardiovascular-related morbidity and mortality for impending heat events.

The impact of market integration on the technological innovation of new energy vehicle enterprises

ABSTRACT How to give full play to the innovation incentive role of the unified market for new energy vehicle (NEV) enterprises is an issue that deserves high attention in the development of China's NEV industry. Selecting listed enterprises of NEV manufacturers in China from 2010 to 2020 as the research sample, this study distinguishes the technological innovation into two categories: basic innovation and commercial innovation, and constructs market integration indicators from market consolidation and regional linkage, so as to analyze how the construction of a national unified market will affect the technological innovation of the NEV industry. Besides, it also takes into account the moderating effects of two types of non-market institutional innovations. The results show that it is difficult to promote critical core technology breakthroughs by relying on market system innovation alone. While actively promoting the construction of a unified market, it is important to bring into play the interactive synergy between government support policies, enterprise R&D investment, and market integration. Furthermore, this study confirms that the impact of market integration on technological innovation of NEV enterprises exists in the form of regional boundaries, dynamic effects, and two types of transmission mechanisms, namely, efficient market and active government.

A paradigm shift in giftedness research: integrating critical realism’s ontology, epistemology, and methodology

ABSTRACT This paper discusses the integration of critical realist ontology, epistemology, and methodology into giftedness and gifted education research. Although there is no consensus about the complex nature of giftedness, a paradigmatic shift is underway, emphasizing the impact of contextual and social factors in shaping gifted performance. Despite this shift, the ontological, epistemological, and methodological stances are often overlooked, leading to an incomplete understanding of the complex interaction between individuals and their context and constraining the potential to offer realistic and functional interventions for gifted education. Critical realism enables us to explore complex interactions, generate hypotheses, identify causal mechanisms, advance theoretical frameworks, and construct functional interventions for policy practices with its ontological, epistemological, and methodological arguments. This work contributes to the field by showcasing how critical realism's core concepts and tenets can be applied to various aspects of giftedness and gifted education and suggesting multiple avenues for further research.

The Encke comet impact/airburst and the Younger Dryas Boundary: Testing the impossible hypothesis (YDIH)

Many have tagged the Younger Dryas Impact Hypothesis (YDIH), a supposition, lacking convincing evidence in support. The core of criticism lies squarely on uniformitarianism, that is, uniform processes moving uniformly with no room for catastrophic events, specifically cosmic catastrophic forces. Beyond philosophically based aversion to the YDIH, specific criticism comes from megafauna and archaeologic corners, related to the near coeval disappearance of specific Late Pleistocene species on the one hand, and relation to disruption and temporary disappearance of the Clovis people et al. on the other. The Younger Dryas geologic paradigm, originally in place with meltwater release into the Atlantic in tow, attention slowly drifted to explanation of an innocuous looking, thin (~1-3 cm), black sediment bed found in lacustrine and fluvial deposits of the American southwest, and other intercontinental places. Thus, with thin dark beds of Gubbio in mind, the quest to explain black mat (BM) beds took on a cosmic aspect, one with growing, supporting evidence on several continents. The impossible hypothesis, now the probable explanation of the Younger Dryas climatic reversal, is at center stage, set at 12.8 ka, with a burgeoning corpus of evidence its cornerstone.

Localization of Dual Partial Discharge in Transformer Windings Using Fabry–Pérot Optical Fiber Sensor Array

The power transformer is one of the most critical core devices for energy exchange in power systems, and its safe and stable operation is directly related to the reliability of the power grid. Partial discharge is the main cause of insulation degradation and failure of high-voltage electrical equipment. Online monitoring and accurate localization of partial discharge can provide information on the aging of power equipment, which is of great value for improving the safe operation and maintenance of the power grid. Internal dual partial discharge in transformer windings is a more complex type of fault. Since it is located inside the windings, the signal is attenuated and distorted, making it difficult for traditional monitoring methods to capture such partial discharge signal The Fabry–Perot optical fiber sensor is an ultrasonic detection method that can be built into the transformer interior. This sensor has high sensitivity and a small size, enabling flexible placement at different locations inside the transformer for precise partial discharge detection. Especially for the narrow space inside the high and low voltage windings, F–P sensors can form an array, utilizing the array’s directivity to locate the fault points. In this study, an ultrasonic detection system based on the F–P optical fiber sensor array was developed. The system utilizes a directional cross-localization algorithm based on the multiple signal classification (MUSIC) algorithm to accurately locate dual partial discharge sources. This partial discharge detection system was applied to a 35 kV single-phase transformer, enabling the localization of dual partial discharge sources within the high and low voltage windings. Combined with experimental results, this method exhibits high localization accuracy and is particularly suitable for detecting partial discharge phenomena that occur within or between transformer windings.

Accretion discs onto supermassive compact objects: A portal to dark matter physics in active galaxies

Context. The study of the physics of the accretion discs that develop around supermassive black hole (BH) candidates provides essential theoretical tools to test their nature. Aims. Here, we study the accretion flow and associated emission using generalised α-discs accreting onto horizonless dark compact objects in order to make comparisons with the traditional BH scenario. The BH alternative proposed here consists in a dense and highly degenerate core made of fermionic dark matter (DM) and surrounded by a more diluted DM halo. This dense core–diluted halo DM configuration is a solution of Einstein’s equation of general relativity (GR) in spherical symmetry, which naturally arises once the quantum nature of the DM fermions is duly accounted for. Methods. The methodology followed in this work consists in first generalising the theory of α-discs to work in the presence of regular and horizonless compact objects, and then applying it to the case of core–halo DM profiles typical of active-like galaxies. Results. The fact that the compactness of the dense and transparent DM core scales with particle mass allows the following key findings of this work: (i) There is always a given core compacity – corresponding particle mass – that produces a luminosity spectrum that is almost indistinguishable from that of a Schwarzschild BH of the same mass as the DM core. (ii) The disc can enter deep inside the non-rotating DM core, allowing accretion-powered efficiencies of as high as 28%, which is comparable to that of a highly rotating Kerr BH. Conclusions. These results, together with the existence of a critical DM core mass of collapse into a supermassive BH, open new avenues of research for two seemingly unrelated topics: AGN phenomenology and dark matter physics.

Barriers and corridors: Assessment of gene flow and movement among red panda populations in eastern Himalayas

Landscape features can impede dispersal, gene flow, and population demography, resulting in the formation of several meta-populations within a continuous landscape. Understanding a species' ability to overcome these barriers is critical for predicting genetic connectivity and population persistence, and implementing effective conservation strategies. In the present study, we conducted a fine-scale spatial genetic analysis to understand the contemporary gene flow within red panda populations in the Eastern Himalayas. Employing geometric aspects of reserve design, we delineated the critical core habitats for red pandas, which comprise 14.5 % of the landscape (12,189.75 Km2), with only a mere 443 Km2 falling within the protected areas. We identified corridors among the core habitats, which may be vital for the species' long-term genetic viability. Furthermore, we identified substantial landscape barriers, including Sela Pass in the western region, Siang river in the central region, and the Dibang river, Lohit river, along with Dihang, Dipher, and Kumjawng passes in the eastern region, which hinder gene flow. We suggest managing red panda populations through the creation of Community Conservation Reserves in the identified core habitats, following landscape-level management planning based on the core principles of geometric reserve design. This includes a specific emphasis on identified core habitats of red panda (CH-RP 5 and CH-RP 8) to facilitate corridors and implement meta-population dynamics. We propose the development of a comprehensive, long-term conservation and management plan for red pandas in the transboundary landscape, covering China, Nepal, and Bhutan.

A generalized data assimilation architecture of digital twin for complex process industrial systems

As one of the critical cores of digital twin (DT), data assimilation (DA) can maintain consistency and synchronization between DT and physical system. Kalman filtering is a common DA method, but its estimation performance is deteriorated by factors such as model inaccuracy and time-varying noise covariance in practical applications. The errors caused by these multiple uncertainties are all coupled to the measurements, which augments the difficulty for DT to obtain physical system information. In order to tackle the DA problem with multiple uncertainties, this paper proposes a generalized DA architecture for DT in sophisticated process industry. First, by combining Stein variational gradient descent and nonlinear Bayesian filtering paradigm, a recursive estimation framework is established, which has higher accuracy in estimating the noise covariance compared to traditional methods. Second, to effectively deal with model inaccuracy by using filtering residuals containing time-varying noise, we propose a neural network and modified wavelet-based model error compensation (NNMW-MEC) block. Based on the modified wavelet technique, the filtering residual denoising built in NNMW-MEC can better cope with time-varying noise compared to existing wavelets, and extract the low-frequency signal involving model error information from noisy residual smoothly. In addition, because of the neural network-based state-compensation subblock, NNMW-MEC has more outstanding ability in compensating the state deviations with large changing range. Finally, we take the boiler system in a coal-fired power plant as an example to verify the effectiveness of our architecture. Experimental results show that the DA architecture proposed in this paper can improve the estimation performance of DT under inaccurate models and uncertain noise statistics.

Assessing the rigidity of cubanes and bicyclo(1.1.1)pentanes as benzene bioisosteres

Aromatic rings are critical core substructures in the majority of pharmaceutical compounds. There is much recent interest in replacing aromatic structures with saturated bioisosteres of benzene, which are generally fused or bridged ring systems. These bioisosteres often show improved solubility properties compared to benzene, and may also undergo fewer unwanted metabolic processes. One key reason why aromatic rings have proven so successful in drug design is their rigidity. This paper uses molecular dynamics simulations supported by crystallographic data to assess the rigidity of bicyclopentane and cubane ring systems as two of the most common benzene bioisosteres and compares this to benzene. Whilst a benzene ring is shown to be more flexible than these two bioisosteres in terms of its dihedral ring flexibility, substituents around the ring tend to behave in a much more similar way in both benzene and the bioisosteric systems.

Effect of Gamma Heating on Heat Pipe–Cooled, Calcium Hydride–Moderated Core

A novel microreactor, called MoveluXTM, was previously proposed that utilizes heat pipes as the primary heat transfer device and calcium hydride as the moderator. In this core design, the moderator temperature is the critical core operation limit because at high temperatures above 800°C, the hydrogen dissociates from the calcium hydride. The core temperature distribution, therefore, was previously evaluated. However, this evaluation did not consider gamma heating in the core and assumed that power was produced only in the fuel region. By contrast, the moderator region has a power density under realistic conditions due to gamma heating. Thus, the present work considers gamma heating in the core power distribution calculation and evaluates the impact on the moderator temperature. The power density of gamma heating was 1/10th that of the fuel region and around 1/100th that of the core thermal power. This increased the temperature of the moderator by 10 K from the case without considering gamma heating. In addition, this temperature distribution difference did not have an impact on the core criticality. In conclusion, considering the gamma heating, concerns regarding the core design are not suggested.