복어는 동아시아 요리의 고급 원료로 상업적 가치가 높 은 수산자원이나, 야생 복어의 테트로도톡신은 치명적인 식중독 사건을 꾸준히 유발하고 있다. 자주복은 한국, 일 본, 중국에서 인기 있는 복어 종으로, 테트로도톡신이 없 는 복어 생산을 위해 양식되는 주된 어종이다. 따라서 양 식 자주복과 자연산 자주복의 구별은 식품 안전과 규제측면에서 매우 중요하다. 본 연구에서는 국내 온라인 및 오프라인 시장에서 판매되는 100개의 자주복 제품을 대상 으로 ‘양식 및 자연산’ 여부를 PCR 기반 방법을 이용하 여 확인하였으며, PCR 결과를 제품의 표시사항 정보와 비 교하였다. PCR 분석에는 자연산 자주복과 양식 자주복의 유전적 다양성 차이를 보이는 6개의 마커를 이용하였다. PCR 분석 결과 모든 양식 자주복 제품에서는 6개 마커에 서 모두 완전한 증폭 패턴을 보였으나, 자연산 자주복 제 품에서는 0 - 5개 마커에서 만 무작위 증폭 패턴을 나타냈 다. 따라서 6개 유전 마커의 증폭 패턴을 이용한 분석법 은 향후 자주복 제품의 허위표시 모니터링 및 테트로도톡 신 유무의 신속 검사에 널리 활용될 수 있을 것이다. 또 한 본 연구 결과는 현행 복어 종 판별을 보완할 수 있는 기초자료를 제공해 줄 수 있다.

Five spider species from the genus Pholcus Walckenaer, 1805, namely Pholcus geogeum sp. nov., Pholcus hongseong sp. nov., Pholcus gochang sp. nov., Pholcus jeocheon sp. nov., and Pholcus yongin sp. nov., are newly described from Korea. These five new species, which belong to the phungiformes group within the genus, can be distinguished from their congeners by the shape and structure of the genital organs of both males and females. They are found on rock walls and at cave entrances in mountainous and hilly mixed forests. This study provides diagnoses, detailed descriptions, and taxonomic photographs of the newly described species.

본 연구는 동기부여 이론의 관점에서 인적자원관리 강도 인식(perceived HRM system strength)과 임 금수준이 이직 의도에 영향을 미치는 심리적 기제를 탐구하였다. 직무 만족도와 조직 동일시를 매개로 인사관리강도 인식과 임금수준의 영향을 확인함과 동시에, 고임금 집단과 저임금 집단으로 구분하여 임 금 수준이 양 집단간에 서로 다른 심리적 과정을 이끌어낼 수 있음을 주장한다. 연구 가설 검증을 위해 인적자본기업패널 2차 자료를 활용하였으며, 한국 기업 500개에 속한 2,566명의 표본을 대상으로 구조방 정식 모형 분석을 수행하였다. 분석 결과, 인사관리강도 인식과 실제 급여는 모두 직무 만족도 및 조직 동일시를 통해 이직 의도를 낮추는 것으로 나타났다. 또한, 고임금 집단과 저임금 집단 간에는 경로의 패 턴에서 차이가 발견되었다. 고임금 집단에서는 급여가 직무 만족도에 영향을 미치지 않으면서도 이직 의 도를 직접적으로 낮추는 반면, 저임금 집단에서는 급여가 직무 만족도를 통해서만 이직 의도에 간접적인 영향을 미치는 것으로 확인되었다. 우리의 분석 결과는 임금이 외적 동기 요소로서 위생 요인이며, 인사관 리강도 인식은 내적 동기를 자극할 수 있는 관리적 전략임을 강력하게 시사하며 전통적 동기부여 이론의 시각과 맥락을 같이한다. 이 연구는 실무적 차원에서 인사관리강도 인식 관리가 중요하다는 점을 강조함 과 동시에 인사관리 정책 변화 관리에 중요한 실질적인 시사점을 제공한다.

Atmospheric characterization has become a crucial area of study for exoplanets. The exoplanets known as ultra-hot Jupiters (UHJs) offer a natural laboratory for studying extreme atmospheric physics that cannot be observed in the solar system. One way to analyze their atmospheres is by transmission spectroscopy. However, it can be challenging to obtain such information because a planet’s signal is too weak compared to that of its host star, resulting in the planetary contribution to the observed spectrum being negligible. Therefore, the minimum observational requirements must be assessed first to distinguish the planetary signal from the stellar one to study these planets. In this context, we obtained the transmission spectra of UHJs TOI-1431 b and WASP-189 b by observing each exoplanet for one night with BOAO Echelle Spectrograph (BOES) on the 1.8 m telescope at Bohyunsan Optical Astronomy Observatory (BOAO). We searched for various chemical species by cross-correlating the exoplanetary spectra with model synthetic spectra. Our search for atmospheric signal returned a detection confidence level less than 3 σ for both targets. Therefore, we applied model injection to recover the atmospheric signals of the planets and assessed the minimum signal-to-noise ratio (S/N) to achieve 5 σ detection. During our search, we successfully recovered the planet signals with detection significances of 5.11 σ after a 750% injection of the model signal for TOI-1431 b and 5.02 σ for a 90% injection forWASP-189 b. These signal injection exercises suggest that a higher S/N of the transmission spectra is required to detect the planetary absorption features, and this can be done by stacking data from the observations of more than three cycles of the transit of a planet with a small-scale height such as WASP-189 b at BOAO facilities.

Manganese dioxide, functioning as a cathode material for aqueous zinc-ion batteries (AZIBs), demonstrates a variety of benefits, such as elevated theoretical specific capacity, outstanding electrochemical performance, environmental compatibility, ample resource availability, and facile modification. These advantages make MnO2 one of the cathode materials that have attracted much attention for AZIBs. Nevertheless, manganese dioxide cathode in practical applications suffers from structural instability during the cycling process because of sluggish electrochemical kinetics and volume expansion, which hinder their large-scale application. Doping and compositing with conducting frameworks is an effective strategy for improving structural stability. Herein, homogeneously in situ growth of Yttrium-doped MnO2 nanorods on conductive reduced graphene oxide (Y-MnO2/rGO), were synthesized through a straightforward hydrothermal method. The Y-MnO2/rGO electrodes have an ultra-long cycle life of 179.2 mA h g− 1 after 2000 cycles at 1 A g− 1 without degradation. The excellent structural stability is attributed to the cooperative effect of yttrium doping and compositing with rGO, which is an effective approach to enhance the stability and mitigate the Jahn–Teller distortion associated with Mn ions.

As the demand for sustainable hydrogen (H₂) production grows, catalytic decomposition of methane (CDM) has emerged as a CO2- free pathway for H2 generation, producing valuable multi-walled carbon nanotubes (MWCNTs) as byproducts. This study examines the role of fuel type in shaping the properties and performance of NiOx/AlOx catalysts synthesized via solution combustion synthesis (SCS). Catalysts prepared with citric acid, urea, hexamethylenetetramine (HMTA), and glycine exhibited varying NiO nanoparticle (NP) sizes and dispersions. Among them, the HMTA catalyst achieved the highest Ni dispersion (~ 3.2%) and specific surface area (21.6 m2/ gcat), attributed to vigorous combustion facilitated by its high pH and amino-group-based fuel. Catalytic tests showed comparable activation energy (55.7–59.7 kJ/mol) across all catalysts, indicating similar active site formation mechanisms. However, the HMTA catalyst demonstrated superior CH4 conversion (~ 68%) and stability, maintaining performance for over 160 min under undiluted CH₄, while others deactivated rapidly. MWCNT characterization revealed consistent structural properties, such as graphitization degree and electrical conductivity, across all catalysts, emphasizing that fuel type influenced stability rather than MWCNT quality. H2 temperature-programmed reduction ( H2-TPR) analysis identified moderate metal-support interaction (MSI) in the HMTA catalyst as a key factor for optimizing stability and active site utilization. These findings underscore the importance of fuel selection in SCS to control MSIs and dispersion, offering a strategy to enhance catalytic performance in CDM and other thermocatalytic applications.

Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.

With the rapid development of economic globalization and the shipping industry, seafarers have been working at sea for a long time, facing psychological problems such as loneliness, depression, and frustration, which pose serious threats to their physical and mental health. The occurrence of psychological symptoms among crew members during their service on board and during their vacations was analyzed through psychological surveys. Research has found that crew members are prone to psychological problems such as obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, and paranoia during their time on board. The two stages with a relatively high probability of developing psychological problems are: one month and 3-6 months after starting working on board. In response to these issues, some onboard management measures and shore-based support measures have been proposed.

Targeted protein degradation (TPD) is an emerging therapeutic strategy that leverages the natural protein degradation systems of cells to eliminate disease-associated proteins selectively. Unlike traditional small molecule inhibitors, which merely suppress protein activity, TPD degrades target proteins directly, offering a novel approach to addressing undruggable proteins. The two most extensively studied TPD technologies, proteolysis-targeting chimeras (PROTACs) and molecular glues (MGs), utilize the ubiquitin–proteasome system to induce TPD. PROTACs function as bifunctional molecules that recruit an E3 ubiquitin ligase (E3 ligase) to a target protein, leading to its ubiquitination and subsequent degradation, while MGs enhance protein–protein interactions to facilitate ubiquitination and protein clearance. These approaches have shown promising therapeutic potential in treating cancer, neurodegenerative disorders, and autoimmune diseases, with several compounds currently undergoing clinical trials. Despite these advances, challenges such as limited bioavailability, pharmacokinetic constraints, and target selectivity remain obstacles to the widespread application of TPDbased therapies. Recent developments, including the discovery of novel E3 ligases, linker optimization, and AI-driven drug design, have addressed these limitations, paving the way for the next generation of precision-targeted therapeutics. This paper provides a comprehensive overview of the mechanisms, applications, and future directions of PROTACs and MGs in drug discovery, highlighting their potential to revolutionize modern targeted therapy.

With the increasing demand for energy conservation and emissions reduction in the shipping industry, suctionbased turbine sails have emerged as a novel wind energy utilization technology and have become a research hotspot. This study focuses on the aerodynamic performance of suction-based turbine sails with the aim of investigating the effects of suction intensity and suction port position on their aerodynamic characteristics. By employing Computational Fluid Dynamics (CFD) numerical simulations using the Re-Normalization Group (RNG) k–ε turbulence model and the SIMPLE algorithm, this study provides a detailed analysis of lift and drag coefficients, pressure distribution, and vorticity distribution under various combinations of suction intensity (γ) and suction port position (α). The results show that variations in suction intensity significantly affect the lift and drag characteristics of the turbine sail, while changes in the suction port position directly influence the attachment and separation behavior of airflow on the sail surface. Furthermore, a synergistic effect is observed between γ and α—their interaction not only alters the flow distribution but also plays a critical role in determining the overall performance of the turbine sail.By comprehensively considering the influence of these two factors, the study draws key conclusions for optimizing the design of suction-based turbine sail, providing valuable theoretical insights and technical guidance for their practical application in wind-assisted marine propulsion.

The development of hydrogen energy is crucial for achieving global dual-carbon strategic goals, namely "carbon peak" and "carbon neutrality." Photocatalytic water splitting, powered by solar energy, presents a promising approach to hydrogen production. Advancing this technology requires the development of photocatalysts that are cost-effective, highly active, and stable. As a non-metallic semiconductor, g-C3N4 stands out for its potential in sustainable energy and environmental remediation technologies, garnering considerable interest for its efficiency in harnessing light-driven reactions. Although g-C3N4 exhibits promising characteristics, its practical application is significantly hindered by the rapid recombination of photogenerated charge carriers and its limited light absorption range. This review highlights various strategies employed to improve the photocatalytic hydrogen production efficiency of g-C3N4, including heteroatom doping, microstructure control, co-catalyst modification, defect engineering, and heterojunction construction. These strategies enhance active site density, light absorption capacity, and photogenerated charge separation in g-C3N4, thereby boosting electron migration rates and improving photocatalytic hydrogen production. Additionally, we explore the potential of integrating cutting-edge AI technology with advanced instrumentation for the prediction, design, preparation, and in-situ characterization of g-C3N4-based photocatalytic systems. This review aims to offer key insights into the design, development, and practical application of innovative, high-performance carbon-based catalysts.