Paecilomyces tenuipes (P. tenuipes) is a fungus cultivated artificially by South Korean researchers, utilizing rice bran as its substrate. The increased demand for this fungus has not been met with successful cultivation methods for fruiting body production in natural environments. Therefore, we tested the effect on the growth of P. tenuipes using a Solid media based on pests. In this results, the Solid media based on M.alternatus was effective in increasing the growth of P. tenuipes and the content of cordycepin. Moreover, we confirmed the conditions for manufacturing a Solid media based on M.alternatus for P. tenuipes growth. We suggested that the growth-promoting compounds offers valuable insights for optimizing fungal cultivation conditions, thereby enhancing productivity and contributing to a broader understanding of fungal physiology in varying nutritional environments.

Mushrooms play crucial roles as reservoirs of naturally occurring bioactive compounds. Among these, Cordyceps militaris is significant because of its well-established reputation for organoleptic excellence and positive health effects, which have led to its widespread commercialization. In contrast, the key properties of Paecilomyces variotii, an ectomycorrhizal symbiont, has received limited attention. In alignment with current research trends, the study of the mycelia and culture media of these mushrooms hold promise in identifying potential sources of valuable bioactive compounds. In the present study, we investigated C. militaris and P. variotii for their phenolic acids and sterols, assessing antioxidant capacity, anti-inflammatory effects, and anti-proliferative activity. Interestingly, P. variotii mycelia exhibited higher concentrations of ergosterol and phenolic compounds, with comparable levels observed in the fruiting bodies, along with superior antioxidant activity compared to that of C. militaris. In contrast, C. militaris mycelia demonstrated anti-inflammatory effects (which were absent in P. variotii mycelia) and cytotoxicity comparable to, and at times exceeding, that of its fruiting bodies (in contrast to P. variotii). In addition, the species analyzed in this study displayed variations in growth rates and mycelial production, which merit consideration for potential future applications and further study.

Plants synthesize antioxidant compounds as a defense mechanism against reactive oxygen species. Recently, plant-derived antioxidant compounds have attracted attention due to the increasing consumer awareness in the heath industry. However, traditional methods for measuring the antioxidant activity of these compounds are time-consuming and costly. Therefore, our study constructed a quantitative structure-activity relationship (QSAR) model that can predict antioxidant activity using graph convolutional networks (GCN) from plant structural data. The accuracy (Acc) of the model reached 0.6 and the loss reached 0.03. Although with lower accuracy than previously reported QSAR models, our model showed the possibility of predicting DPPH antioxidant activity in a wide range of plant compounds (phenolics, polyphenols, vitamins, etc.) based on their graph structure.

The Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer (SPHEREx) will provide all-sky spectral survey data covering optical to mid-infrared wavelengths with a spatial resolution of 6.′′2, which can be widely used to study galaxy formation and evolution. We investigate the galaxy-galaxy blending in SPHEREx datasets using the mock galaxy catalogs generated from cosmological simulations and observational data. Only ∼0.7% of the galaxies will be blended with other galaxies in all-sky survey data with a limiting magnitude of 19 AB mag. However, the fraction of blended galaxies dramatically increases to ∼7–9% in the deep survey area around the ecliptic poles, where the depth reaches ∼22 AB mag. We examine the impact of the blending in the number count and luminosity function analyses using the SPHEREx data. We find that the number count can be overestimated by up to 10–20% in the deep regions due to the flux boosting, suggesting that the impact of galaxy-galaxy blending on the number count is moderate. However, galaxy-galaxy blending can marginally change the luminosity function by up to 50% over a wide range of redshifts. As we only employ the magnitude limit at Ks-band for the source detection, the blending fractions determined in this study should be regarded as lower limits.

Pt/C catalysts were prepared using black carbon (CB), and evaluated for their potential application as a catalyst of liquid-phase catalystic exchange for tritium treatment. CB was treated with 10% H2O2 solution for 0 and 2 hours at 105°C, Ethylene glycol and 40wt% Pt were added to the dried treated sample to prepare a Pt/C catalyst. The physical and chemical properties of the prepared catalysts were evaluated by BET, XRD, elemental analysis (EA), and TEM analyses. As a result of BET analysis, the surface area of CB without 10% H2O2 was 237.2 m2·g-1, and after treatment with 10% H2O2, it decreased to 181.2 m2·g-1 for 2 hours. However, the internal surface area increased, indicating the possibility that more Pt could be distributed inside the CB treated with 10% H2O2. In the XRD analysis results, the presence of Pt was confirmed by observing the Pt peak in the prepared Pt/C catalyst, and it was also observed through TEM analysis that Pt was evenly distributed within the CB. The elemental analysis (EA) results showed that the ratio of S and N decreased and the ratio of O increased with increasing 10% H2O2 treatment time. The H2O2 treated carbon supported Pt catalysts and polytetrafluoroethylene were then loaded together on a foamed nickel carrier to obtain hydrophobic catalysts. Our hydrophobic Pt catalyst using H2O2 treated black carbon are expected to be usefully used in the tritium treatment system.

Wide-area surface decontamination is essential during the sudden release of radioisotopes to the public, such as nuclear accidents or terrorist attacks. A spray coating composed of a reversible complex between poly (vinyl alcohol) (PVA) and phenylboronic acid-grafted poly (methyl vinyl ether-alt-mono-sodium maleate) (PBA–g–PMVE–SM) was developed to remove radioactive cesium from surfaces. The simultaneous spay of PVA and PBA–g–PMVE–SM aqueous polymer solutions containing Cs adsorbent to contaminated surfaces resulted in the spontaneous formation of a PBA–diol ester bond-based gel-like coating. The Cs adsorbent suspended in the gel-like coating selectively removed Cs-137 from the Cs-contaminated surface. The used gel-like coating were removed from surfaces by simple water rinsing. This recovery way has advantages compared with costly incineration to remove the organic materials for final disposal/storage of the radioactive waste. Thus, our spray coating is suitable for practical wide-area surface decontamination. In radioactive tests, the hydrogel containing Cs-adsorbent showed substantial Cs-137 removal efficiencies of 96.996% for painted cement and 63.404% for cement, which are 2.33 times better than the values for the commercial surface decontamination coating agent DeconGel.

A Partially hydrolyzed poly (vinyl acetate) (PHPVA)-borax complex-based gel-like coating was successfully developed for the decontamination of Simulated nuclear fallout (SFO) from surfaces. The sprayable coating was self-generated on the surface by borate-diol ester bonds after simultaneously mixing two solutions of borax and PHPVA. The SFO particles, synthesized at 1,200°C for melting, were glassy while some crystalline phases (e.g., SiO2 and Fe2O3) existed together. The SFO particles were fixed onto the Stainless steel (SS) substrate by dropping and evaporating water. for examination of the dust-removal performance of PHPVA-borax based coating. The dusts on the SS surface was successfully removed by casting the PHPVA-borax based coating within 1 minute, demonstrating the excellent dust-removal property of the PHPVA-borax based coating. The used PAB complex in wet state was recovered by using vacuum suction machine in short time. The solid-state PHPVA-borax based film was self-delaminated from the SS substrate after fully drying the used PHPVA-borax coating but this requires long period of time.

The Nuclear Export and Import Control System (NEPS) is currently in operation for nuclear export and import control. To ensure consistent and efficient control, various computational systems are either already in place or being developed. With numerous scattered systems, it becomes crucial to integrate the databases from each to maximize their utility. In order to effectively utilize these scattered computer systems, it is necessary to integrate the databases of each system and develop an associated search system that can be used for integrated databases, so we investigated and analyzed the AI language model that can be applied to the associated search system. Language Models (LM) are primarily divided into two categories: understanding and generative. Understanding Language Models aim to precisely comprehend and analyze the provided text’s meaning. They consider the text’s bidirectional context to understand its deeper implications and are used in tasks such as text classification, sentiment analysis, question answering, and named entity recognition. In contrast, Generative Language Models focus on generating new text based on the given context. They produce new textual content continuously and are beneficial for text generation, machine translation, sentence completion, and storytelling. Given that the primary purpose of our associated search system is to comprehend user sentences or queries accurately, understanding language models are deemed more suitable. Among the understanding language models, we examined BERT and its derivatives, RoBERTa and DeBERTa. BERT (Bidirectional Encoder Representations from Transformers) uses a Bidirectional Transformer Encoder to understand the sentence context and engages in pre-training by predicting ‘MASKED’ segments. RoBERTa (A Robustly Optimized BERT Pre-training Approach) enhances BERT by optimizing its training methods and data processing. Although its core architecture is similar to BERT, it incorporates improvements such as eliminating the NSP (Next Sentence Prediction) task, introducing dynamic masking techniques, and refining training data volume, methodologies, and hyperparameters. DeBERTa (Decoding-enhanced BERT with disentangled attention) introduces a disentangled attention mechanism to the BERT architecture, calculating the relative importance score between word pairs to distribute attention more effectively and improve performance. In analyzing the three models, RoBERTa and DeBERTa demonstrated superior performance compared to BERT. However, considering factors like the acquisition and processing of training data, training time, and associated costs, these superior models may require additional efforts and resources. It’s therefore crucial to select a language model by evaluating the economic implications, objectives, training strategies, performance-assessing datasets, and hardware environments. Additionally, it was noted that by fine-tuning with methods from RoBERTa or DeBERTa based on pre-trained BERT models, the training speed could be significantly improved.

The Korea Institute of Nuclear Nonproliferation and Control (KINAC) conducts outreach to promote and educate regulated entities on the export control regime’s purpose, importance, and implementation. Outreach activities help to reduce regulatory blind spots and minimize domestic and international penalties for non-compliance. The need for outreach is growing as domestic and international policies are changing rapidly, and the scope of export regulations is expanding due to increased exports of nuclear power plants. In order to explore the long-term development direction of outreach activities, we will analyze the trends of nuclear export control and the outreach activities of related organizations. Here are some key trends in nuclear export controls. In recent years, countries worldwide have been reorganizing their supply chains for critical industries, focusing on their own and friendly countries, and strengthening their trade policies in security aspects such as export control and technology protection. Following the trend of international sanctions against Russia, the Korean government has implemented domestic export control measures similar to those of the international community, such as blocking the export of strategic goods to Russia. In addition, the number of strategic goods classifications and export licenses has been increasing as Korea promotes the export of new nuclear power plants. In line with carbon neutrality, it is expected to revitalize and diversify nuclear energy-related export businesses, such as joint research on fourth-generation nuclear power plants and SMRs. Finally, the scope of exports is expanding from ‘goods’ such as existing nuclear reactors to ‘technology’-oriented transfers. The means of technology transfer are diversifying with the development of information and communication technologies such as cloud services, email, video conferencing, and large-capacity removable storage devices. Next, look at the outreach activities of nuclear export control organizations. The Korean Security Agency of Trade and Industry (KOSTI) is an organization that implements export controls on dualuse items. It puts much effort into one-on-one consulting services with companies and has established and operated various online training programs. It also actively utilizes online promotional materials such as card news and videos. The export control agencies of major countries have a common trend of expanding outreach to research institutions, providing export control guides tailored to the characteristics of each field, holding annual seminars and conferences, and operating educational programs

Fulvic acid, a humic substance with unique properties, has sparked interest due to its potential applications in the treatment of allergic diseases, Alzheimer's disease, and as a microplastic adsorbent. However, conventional extraction methods produce insufficient quantities for commercial use, which has prompted research to enhance fulvic acid production. In this study, we investigated the impact of Saccharomyces cerevisiae fermentation on the yield and spectral characteristics of fulvic acid extracted from white peat. Fulvic acid was extracted from both S. cerevisiae-treated and untreated white peats using acid precipitation. The yield of fulvic acid from the S. cerevisiae treated group reached its highest at 3.5 % after 72 hr of fermentation, which was significantly higher than the untreated group (1.1 %). Fourier Transform Infrared (FTIR) analysis revealed similarities in functional groups and characteristic absorption bands between the treated and untreated fulvic acid samples. These findings suggest that S. cerevisiae fermentation can increase the yield of fulvic acid extracted from white peat, providing a promising approach for enhancing the commercial viability of fulvic acid production.

Cordycepin (3'-deoxyadenosine) is a nucleoside analog known for its diverse range of biological activities. This study investigated the effect of different types of sawdust on the production of the bioactive compound cordycepin. The results of the study showed that different types of wood sawdust affected the biosynthesis of cordycepin and a significant increase was observed when the conventional SDB medium was replaced with 1% NaOH treated pine sawdust. To optimize cordycepin production from Paecilomyces tenuipes in a medium containing 1% NaOH-pretreated pine sawdust, we employed Response Surface Methodology (RSM) in its Box-Behnken design (BBD) canonical form. The optimal conditions were determined as follows: a particle size of 109.5111-mesh (140 m) for 1% NaOH-pretreated pine sawdust, an input weight of 21.1679 g/L, and an incubation time of 73.8423 hours. According to our model, this combination is expected to yield a maximum cordycepin content of 896.1428 g/mL. Experimental validation of this prediction was performed using the suggested optimal conditions, resulting in an average cordycepin content of 922.6771 g/mL across three replicates, thus confirming the model's accuracy.

Decabromodiphenyl ether (BDE209) is a persistent aromatic compound widely associated with environmental pollutants. Given its persistence and possible bioaccumulation, exploring a feasible technique to eradicate BDE209 efficiently is critical for today’s environmentally sustainable societies. Herein, an advanced nanocomposite is elaborately constructed, in which a large number of titanium dioxide ( TiO2) nanoparticles are anchored uniformly on two-dimensional graphene oxide (GO) nanosheets ( TiO2/GO) via a modified Hummer’s method and subsequent solvothermal treatment to achieve efficient photocatalytic degradation BDE209. The obtained TiO2/ GO photocatalyst has excellent photocatalytic due to the intense coupling between conductive GO nanosheets and TiO2 nanoparticles. Under the optimal photocatalytic degradation test conditions, the degradation efficiency of BDE209 is more than 90%. In addition, this study also provides an efficient route for designing highly active catalytic materials.

Cordyceps militaris (C. militaris) is a unique and valuable medicinal fungus belonging to the Cordyceps species. C. militaris is the only fungus that contains cordycepin which is a biologically active compound. In previous studies, light-emitting diodes (LEDs) are known to be effective in increasing cordycepin content, but metabolic profiling of LED-stimulated C. militaris has not been confirmed. Metabolic profiling is essential to understanding the metabolic regulation of cordycepin. This study studied the physiologically active secondary metabolites of C. militaris according to the presence or absence of stimulation of LEDs through GC-MS analysis. Most of the metabolites were detected in both samples, but there was a clear difference in the detected concentration. In particular, C. militaris had a significant difference in amino acid levels when stimulated with LEDs. Our results suggested that LEDs could stimulate amino acid synthesis in C. militaris mycelium to increase the cordycepin content.

Roridin E, a constituent of Podostroma cornu-damae, has excellent medicinal properties and exhibits powerful anticancer effects. However, being a poisonous mushroom, P. cornu-damae is difficult to find in its natural environment. Therefore, only a limited amount of roridin E is isolated from P. cornu-damae. We isolated roridin E from mycelial culture medium of P. cornu-damae and examined its effects on five breast cancer cell lines. The purity of the isolated roridin E was 96%. It exhibited anticancer effects on all five breast cancer cell lines, with an IC50 of at least 0.0006 mg/L. To the best of our knowledge, this is the first report on the investigation of effects of roridin E isolated from the mycelium of P. cornu-damae mushrooms on five breast cancer cell lines. However, safety issues should be investigated and addressed in future studies before roridin E is used in clinical settings.

Glutamine has been used to treat canine patients with parvoviral enteritis. However, little is known about the effect of L-alanyl-L-glutamine (Ala-Gln) supplementation in dogs with parvoviral enteritis. The objective of this study was to determine whether Ala-Gln supplementation can improve dog survival and ameliorate clinical signs without adverse effects. We conducted a randomized, double-blind, placebo-controlled clinical trial involving 39 client-owned dogs. The dogs were randomly assigned to two groups and administered either an Ala-Gln solution (Dipeptiven, 0.4 g/kg, n = 20) or an equivalent volume of placebo (n = 19) orally twice daily. Of the 39 dogs, 17 were vaccinated (n = 9 in the Ala-Gln-treated group and n – 9 in the placebo group). All dogs received standard treatment while hospitalized. The dogs were monitored according to a clinical scoring system and evaluated diagnostically daily for 11 days. Survival rates in both groups were quantified using Kaplan‒Meier survival curves and statistically compared using the log-rank test. The total score for clinical signs did not differ between the groups, except on day 2. The survival rates differed significantly (p=0.038). Three Ala-Gln-treated dogs (15.0%) died during the study, whereas eight dogs in the placebo group died (42.1%). No adverse effects were found to be associated with Ala-Gln treatment. Oral administration of Ala-Gln improves survival in dogs with parvoviral enteritis without causing adverse effects.

In this study, a bipolar visible light responsive photocatalytic fuel cell (PFC) was constructed by loading a Z-scheme g-C3N4/ carbon black/BiOBr and a Ti3C2/ MoS2 Schottky heterojunction on the carbon brush to prepare the photoanode and photocathode, respectively. It greatly improved the electron transfer and achieved efficient degradation of organic pollutants such as antibiotics and dyes simultaneously in two chambers of the PFC system. The Z-scheme g-C3N4/carbon black/BiOBr formed by adding highly conductive carbon black to g-C3N4/BiOBr not only effectively separates the photogenerated carriers, but also simultaneously retains the high reduction of the conduction band of g-C3N4 and the high oxidation of the valence band of BiOBr, improving the photocatalytic performance. The exceptional performance of Ti3C2/ MoS2 Schottky heterojunction originated from the superior electrical conductivity of Ti3C2 MXene, which facilitated the separation of photogenerated electron–hole pairs. Meanwhile, the synergistic effect of the two photoelectrodes further improved the photocatalytic performance of the PFC system, with degradation rates of 90.9% and 99.9% for 50 mg L− 1 tetracycline hydrochloride (TCH) and 50 mg L− 1 rhodamine-B (RhB), respectively, within 180 min. In addition, it was found that the PFC also exhibited excellent pollutant degradation rates under dark conditions (79.7%, TCH and 97.9%, RhB). This novel pollutant degradation system is expected to provide a new idea for efficient degradation of multiple pollutant simultaneously even in the dark.

The physicochemical similarities of hydrogen isotopes have made their separation a challenging task. Conventional methods such as cryogenic distillation, Girdler sulfide process, chromatography, and thermal cycling absorption have low separation factors and are energy-intensive. To overcome these limitations, research has focused on kinetic quantum sieving (KQS) and chemical affinity quantum sieving (CAQS) effects for selective separation of hydrogen isotopes. Porous materials such as metal-organic frameworks (MOF), covalent organic frameworks (COF), zeolites, carbon, and organic cages have been studied for hydrogen separation. This study have the literature review for previous research on D2/H2 adsorption and analyzes the D2/H2 adsorption behaviors of hydrogen isotopes for various zeolite using BET at 77 K. The study predicts the D2/H2 adsorption selectivity based on the results obtained with BET. These hydrogen isotope adsorption fundamentals provide a foundation for future processes for tritium separation.

The Nuclear Safety and Security Commission (NSSC) and the Korea Institute of Nuclear Nonproliferation and Control (KINAC) operate the Nuclear Export and Import Control System (NEPS), an online comprehensive export and import control management system to guide the domestic nuclear export and import control regime and efficiently process the application, processing, and issuance of various civil complaints required for compliance. This paper analyzes the results of NEPS functional improvements made in 2022. First, NSSC and KINAC launched a nuclear plant technology follow-up system. Since establishing the Nuclear Plant Technology Export License (Plant License) system in 2015, large-scale nuclear power plant projects with a large amount of technology transfer have been issued a Plant License, allowing them to transfer technology without a separate individual export license. The recipient of a Plant License is not required to obtain an additional export license but to follow up on the transferred technology, such as checking whether it is a strategic technology and reporting quarterly transfer details. A dedicated system has been established to facilitate the follow-up of plant license projects. That has improved work efficiency for both the regulated and the regulator. Second, we have improved the procedures for retrieving and supplementing civil petitions. We added a function allowing civil petitioners to directly retrieve a civil petition to cancel a previously filed civil petition or to revise it themselves. In addition, we improved the procedure for supplementing a civil petition by setting a supplementation deadline for a reviewer’s request to modify a civil petition and sending a reminder before the expiration of the supplementation deadline. That enhances the convenience of the complainant and the examiner. Finally, we have changed the numbering system for export and import control reviews. Previously, the application number was a 15-digit system with an 8-digit date and 7-digit serial number. We have simplified the number by changing the three unused digits in the serial number to a single symbol that separates the type of application. That made it possible to utilize the number for relevant searches in the future. Also, simplifying the number has improved the efficiency of applying, processing, and consulting for civil affairs. In the future, NSSC and KINAC will continue to upgrade NEPS and make various functional improvements, and there will be many changes in system operation through cloud transfer in a few years.