본 연구는 한국 주식시장에서 개별 환경(E), 사회(S), 지배구조(G) 차원 및 균형 잡힌 ESG 전략이 주가폭락 위험에 미치는 영향과, 이 관계에서 재무적 제약이 어떤 역할을 하는지를 분석한다. 본 연구는 ESG 평가점수, 기업 특성, 기업 내 E, S, G 점수 간 분산도, 주가폭락 위험의 시차 항 등을 포함한 패널 모델 분석을 수행한다. 내생성 문제를 해결하기 위해 도구변수(IV) 방법과 시스템 GMM(Generalized Method of Moments) 접근법 을 추가로 활용하였다. 실증 분석 결과는 다음과 같은 주요 통찰을 제공하며, 내생성 문제를 고려한 후에도 일관 성을 유지한다. 첫째, 기업의 ESG 활동 중 환경(E) 점수는 주가폭락 위험과 유의미하게 부(-)의 관계를 보이며, 이는 환경(E) 관리가 주가폭락 위험을 줄인다는 것을 시사한다. 둘째, 한 기업 내에서의 E-S-G 차원 간 점수의 분산 정도가 주가폭락 위험에 기여하는 또 하나의 요인으로 나타났으며, 이는 재무적 제약 여부에 따라 뚜렷한 차이를 보였다. 재무적으로 제약된 기업의 경우, 균형 잡힌 ESG 활동이 주가폭락 위험을 완화하는 데 효과적인 반면, 재무적으로 제약되지 않은 기업에서는 이 관계가 통계적으로 유의하지 않았다.

아시아ž태평양 지역의 석유 제품 수요가 증가함에 따라, 해상에서 화학물질을 운반하는 탱커선의 운항이 늘어나면서 누출 사고 에 대한 우려도 증가하고 있다. 특히, 탱커선에 적재되는 화학물질 중 하나인 LPG는 비수용성이고, 폭발 하한계가 낮아 쉽게 폭발할 수 있기 때문에 해상에서 LPG 가스가 누출될 경우, 선박에서의 1차 사고뿐 아니라 인근 연안 지역으로 확산되어 2차 사고로 이어질 가능성 이 높다. 이에 본 연구에서는 한국해양대학교가 위치한 연안 지역 인근 해상을 운항 중인 화학물질 운반선에서 LPG 가스가 누출되는 상 황을 가정하고, CFD 시뮬레이션을 통해 학교까지 누출된 가스의 확산 범위를 예측하고자 한다. 연구 결과, 선박 위치에 따라 북쪽, 동쪽, 남동쪽 해상을 운항 중인 화학물질 운반선에서 누출된 가스는 각각 8초, 15초, 12초 만에 연안 지역에 도달하여, 전체 면적의 1/4, 1/6, 1/5 만큼 확산되었다. 또한, 선박에 적재된 가스가 모두 누출된 이후에도 연안지역 내 가스 농도는 각각 15초, 33초, 36초 동안 인화성 범위를 유지하였다. 가스 확산에 영향을 미치는 조건을 분석한 결과, 누출구 크기가 풍속보다 더 큰 영향을 미치는 것으로 확인하였다. 본 사례 연구의 해석기법을 활용해, 연안 항로를 운항 중인 선박에서 누출된 유해 가스가 인근 연안 지역에 확산되는 범위를 예측하고, 이를 기반 으로 기존 대응 지침을 보완하는 기초자료로서 활용되기를 기대한다.

This paper explores the potential application of carbon nanotubes (CNTs) in the construction industry, as CNTs can effectively serve as nano-fillers, bridging the voids and holes in cement structures. However, the limited dispersibility of CNTs in water necessitates the use of dispersing agents for achieving uniform dispersion. In this study, two kinds of cement superplasticizers, polycarboxylate ether (PCE) and sulfonated naphthalene formaldehyde (SNF) were employed as dispersing agents to improve the interfacial affinity between CNTs and cement, and to enhance the strength of the cement nanocomposites. Contact angle experiments revealed that the utilization of PCE and SNF effectively addressed the interface issues between CNTs and cement. As a result, the cement nanocomposite with a CNT to PCE ratio of 1:2 exhibited an approximately 6.6% increase in compressive strength (73.05 MPa), while the CNT:SNF 1:2 cement composite showed a 4.7% increase (71.72 MPa) compared to plain cement (68.52 MPa). In addition, the rate of crack generation in cement nanocomposites with CNTs and dispersing agents was found to be slower than that of plain cement. The resulting cement nanocomposites, characterized by enhanced strength and durability, can be utilized as safer materials in the construction industry.

This study focused on improving the solubility of silodosin, a drug poorly soluble in water, by utilizing solid dispersions. Three types of dispersions were examined and compared against the drug powder: surface-attached (SA), solvent-wetted (SW), and solvent-evaporated (SE). Polyvinyl alcohol (PVA) was identified as the most effective polymer in enhancing solubility. These dispersions were prepared using spray-drying techniques with silodosin and PVA as the polymer, employing solvents such as water, ethanol, and a water-acetone mix. The physicochemical properties and solubility of the dispersions were evaluated. The surface-attached dispersions featured the polymer on a crystalline drug surface, the solvent-wetted dispersions had the amorphous drug on the polymer, and the solvent-evaporated dispersions produced nearly round particles with both components amorphous. Testing revealed that the order of improved solubility was: solvent-evaporated, solvent-wetted, and surface-attached. The results demonstrated that the preparation method of the solid dispersions significantly impacted their physicochemical properties and solubility enhancement.

Al2O3 has excellent sintering properties and is important in semiconductor manufacturing processes that require high-temperature resistance and chemical inertness in a plasma environment. In this study, a comprehensive analysis of the chemical characteristics, physical properties, crystal structure, and dispersion stability of three commercially available Al2O3 powders was conducted. The aim was to provide a technological foundation for selecting and utilizing appropriate Al2O3 powders in practical applications. All powders exhibited α-Al2O3 as the main phase, with the presence of beta-phase Na2O-11Al2O3 as the secondary phase. The highest Na+ ion leaching was observed in the aqueous slurry state due to the presence of the secondary phase. Although the average particle size difference among the three powders was not significant, distinct differences in particle size distribution were observed. ALG-1SH showed a broad particle size distribution, P162 exhibited a bimodal distribution, and AES-11 displayed a uniform unimodal distribution. Highconcentration Al2O3 slurries showed differences in viscosity due to ion release when no dispersant was added, affecting the electrical double-layer thickness. Polycarboxylate was found to effectively enhance the dispersion stability of all three powders. In the dispersion stability analysis, ALG-1SH exhibited the slowest sedimentation tendency, as evidenced by the low TSI value, while P162 showed faster precipitation, influenced by the particle size distribution.

Although many attempts have been made to solve the atmospheric diffusion equation, there are many limits that prevent both solving it and its application. The causes of these impediments are primarily due to both the partial differentiation term and the turbulence diffusion coefficient. In consideration of this dilemma, this study aims to discuss the methodology and cases of utilizing a passive air sampler to increase the applicability of atmospheric dispersion modeling. Passive air samplers do not require pumps or electric power, allowing us to achieve a high resolution of spatial distribution data at a low cost and with minimal effort. They are also used to validate and calibrate the results of dispersion modeling. Currently, passive air samplers are able to measure air pollutants, including SO2, NO2, O3, dust, asbestos, heavy metals, indoor HCHO, and CO2. Additionally, they can measure odorous substances such as NH3, H2S, and VOCs. In this paper, many cases for application were introduced for several purposes, such as classifying the VOCs’ emission characteristics, surveying spatial distribution, identifying sources of airborne or odorous pollutants, and so on. In conclusion, the validation and calibration cases for modeling results were discussed, which will be very beneficial for increasing the accuracy and reliability of modeling results.