The Challan instrument is a solar full-disk imaging spectroscopic telescope planned to be installed at three sites with a 120-degree longitudinal difference, enabling continuous 24-hour observations of the Sun. It will take data every 2.5 min with a spatial resolution of 2–3′′ and a spectral resolving power (R) of >43,000 in Hα and Ca ii 8542 Å bands simultaneously. Challan is composed of two modules, each dedicated to a specific waveband. This modular design is beneficial in minimizing the scattered light and simplifying the structure and engineering. The primary scientific goal of Challan is to investigate solar flares and filament eruptions. It is also expected to detect small-scale events in the solar chromosphere. In 2025, Challan will be installed at the Big Bear Solar Observatory for test observational runs, followed by scientific runs in 2026.

Anomaly detection technique for the Unmanned Aerial Vehicles (UAVs) is one of the important techniques for ensuring airframe stability. There have been many researches on anomaly detection techniques using deep learning. However, most of research on the anomaly detection techniques are not consider the limited computational processing power and available energy of UAVs. Deep learning model convert to the model compression has significant advantages in terms of computational and energy efficiency for machine learning and deep learning. Therefore, this paper suggests a real-time anomaly detection model for the UAVs, achieved through model compression. The suggested anomaly detection model has three main layers which are a convolutional neural network (CNN) layer, a long short-term memory model (LSTM) layer, and an autoencoder (AE) layer. The suggested anomaly detection model undergoes model compression to increase computational efficiency. The model compression has same level of accuracy to that of the original model while reducing computational processing time of the UAVs. The proposed model can increase the stability of UAVs from a software perspective and is expected to contribute to improving UAVs efficiency through increased available computational capacity from a hardware perspective.

This study evaluated the bactericidal efficacy of a disinfectant containing chlorine dioxide as its main ingredient against Paenibacillus larvae (P. larvae) that is the causative agent of American foulbrood. A bactericidal efficacy test by broth dilution method was used to determine the lowest effective dilution of the disinfectant following exposure to P. larvae for 30 min at 4°C. The disinfectant and test bacterium were diluted with low and high organic matter (OM) suspension according to treatment condition. On low and high OM conditions, the bactericidal activity of the disinfectant against P. larvae was 2.5 and 1.25 fold dilution, respectively. The recommended dilution time of the disinfectant in low and high OM was 2.0 and 1.0 fold dilution, respectively. As the disinfectant possesses bactericidal efficacy against P. larvae, the disinfectant can be used to prevent American foulbrood in larvae of honeybees.

Hallucinations represent a transdiagnostic phenomenon observed in multiple neuropsychiatric disorders, including schizophrenia, substance use disorder and substance-induced psychotic conditions. Despite their clinical prevalence, objective assessment remains challenging due to its subjective nature, underscoring the critical need for validated translational models. The present study explores the biological mechanisms underlying hallucinations, evaluates the animal models developed to date, and discusses methods for analyzing these models along specific pathways. Hallucinations are primarily mediated through glutamatergic and/or serotonergic pathways. Numerous animal models for assessing hallucinations have been extensively reported; however, these models have mainly been designed to investigate specific neurotransmitter mechanisms, rather than encompassing all relevant pathways. Therefore, this study systematically examines currently established animal models based on the aforementioned neurotransmitter mechanisms and proposes future directions for developing universal animal models capable of comprehensively evaluating hallucinatory phenomena. The present study aims to provide deeper insights for future research involving animal models of hallucination.

As space missions extend in duration, the impact of spaceflight on human reproduction poses serious biomedical challenges. The reproductive system is susceptible to microgravity, ionizing radiation, and circadian disruption. This review summarizes current evidence on how space environments affect reproductive function, focusing on gametogenesis, hormonal regulation, pregnancy, and embryonic development. We reviewed data from rodent models, parabolic flight experiments, and space-exposed cellular systems to assess the effect of space-relevant stressors on reproductive health. Findings show that microgravity impairs sperm motility and hormonal balance, while radiation increases DNA fragmentation and induces heritable epigenetic changes. Female reproductive health is similarly affected, with radiation accelerating follicular loss and hormonal disruption impairing ovulation. Early pregnancy stages, including implantation and placental development, are especially vulnerable to space conditions. Rodent studies indicate that while basic fertility may persist, the long-term effect on offspring health and multi-generational outcomes remains unclear. These findings highlight the need for targeted countermeasures and continued research to ensure reproductive success in future space missions.

This study evaluated the effects of solid and water-soluble extracts derived from torrefied Pinus densiflora on lettuce (Lactuca sativa) germination and growth, as well as the cultivation efficiency of torrefied materials combined with plant nutrient solutions. Torrefied samples were prepared under various conditions (200°C, 220°C, 240°C for 20–80 minutes) and mixed with sand at ratios from 20% to 100%. Liquid extracts were formulated with macronutrients (N, P, K, Mg) and micronutrients (Mn, B, Fe, Cu) and applied to leafy and root vegetables. Germination tests showed that 60% and 80% torrefied treatments had the highest and most consistent rates, with torrefied samples promoting more rapid and stable germination than controls. A two-way ANOVA indicated a significant interaction between treatment and concentration (p = 0.043), suggesting concentration-specific effects. While shoot length showed no significant difference, root growth was marginally significant (p = 0.064), with washed torrefied material producing the longest roots. Physical analysis revealed that torrefied materials improved soil thermal retention and moisture-holding capacity. However, increasing torrefied content reduced porosity, likely due to fine particles filling soil pores. In conclusion, torrefied P. densiflora materials exhibit strong potential to enhance germination, root development, and soil condition. Optimal results were achieved with 40–60% solid mixtures for germination and 60–80% diluted extracts for rapid and consistent seedling growth. When optimally applied, they may serve as effective, sustainable amendments in cultivation systems.

In recent years, high-entropy alloys (HEAs) have attracted considerable attention in materials engineering due to their unique phase stability and mechanical properties compared to conventional alloys. Since the inception of HEAs, CoCrFeMnNi alloys have been widely investigated due to their outstanding strength and fracture toughness at cryogenic temperatures. However, their lower yield strength at room temperature limits their structural applications. The mechanical properties of HEAs are greatly influenced by their processing methods and microstructural features. Unlike traditional melting techniques, powder metallurgy (PM) provides a unique opportunity to produce HEAs with nanocrystalline structures and uniform compositions. The current review explores recent advances in optimizing the microstructural characteristics in CoCrFeMnNi HEAs by using PM techniques to improve mechanical performance. The most promising strategies include grain refinement, dispersion strengthening, and the development of heterogeneous microstructures (e.g., harmonic, bimodal, and multi-metal lamellar structures). Thermomechanical treatments along with additive manufacturing techniques are also summarized. Additionally, the review addresses current challenges and suggests future research directions for designing advanced HEAs through PM techniques.

Background: Aquatic exercise utilizing hot springs helps individuals with nonspecific knee pain by reducing joint stress and providing a safe environment for movement. It can improve muscle strength and balance, enhancing overall functional mobility. Objects: This study aims to examine the muscle strength of knee flexion, knee extension, dorsiflexion, and plantar flexion, as well as to investigate static and dynamic balance in middleaged females after performing hot spring aquatic exercise for 4 weeks. Methods: Twenty-two middle-aged females participated in the study. The participants performed hot spring aquatic exercise for 4 weeks. The hot spring aquatic exercise consisted of aquatic walking, aquatic stretching, aquatic side step, aquatic forward reach, aquatic squat, leg lift, and aquatic arm and leg rotation. Muscle strength was measured using microFET2, while static balance was assessed through the one-leg stance test, and dynamic balance was evaluated using the Y-balance test. This study utilized the paired t-test for statistical analysis, with a significance level set at 0.05. Results: The muscle strength of bilateral knee flexion showed a significant increase in the pre- and post-comparison (p < 0.05), and the muscle strength of bilateral knee extension also improved significantly (p < 0.05). In addition, a significant increase was observed in the muscle strength of bilateral dorsiflexion (p < 0.05). The one-leg stance test performed while supporting on the right leg showed a significant increase in the pre- and post-comparison (p < 0.05). Furthermore, the dynamic balance measurements performed while supporting on both the right and left legs demonstrated significant improvements in both legs when compared before and after the intervention (p < 0.05). Conclusion: In individuals with nonspecific knee pain, a 4-week hot spring aquatic exercise program can contribute to the improvement of lower extremity strength, as well as static and dynamic balance ability.