Metal halide perovskite nanocrystals, due to their high absorption coefficient, high diffusion length, and photoluminescence quantum yield, have received significant attention in the fields of optoelectronic applications such as highly efficient photovoltaic cells and narrow-line-width light emitting diodes. Their energy band structure can be controlled via chemical exchange of the halide anion or monovalent cations in the perovskite nanocrystals. Recently, it has been demonstrated that chemical exfoliation of the halide perovskite crystal structure can be achieved by addition of organic ligands such as noctylamine during the synthetic process. In this study, we systematically investigated the quantum confinement effect of methylammonium lead bromide (CH3NH3PbBr3, MAPbBr3) nanocrystals by precise control of the crystal thickness via chemical exfoliation using n-octylammonium bromide (OABr). We found that the crystalline thickness consistently decreases with increasing amounts of OABr, which has a larger ionic radius than that of CH3NH3 + ions. In particular, a significant quantum confinement effect is observed when the amounts of OABr are higher than 60 %, which exhibited a blue-shifted PL emission (~ 100 nm) as well as an increase of energy bandgap (~ 1.53 eV).

현재 양송이 품종의 개발은 1980년대에 개발된 방법에 의존하여 진행되고 있다. 유전자가위를 이용한 유전자교정 기술이 다양한 분야에서 각광받고 있고, 이 기술을 버섯 육종에도 적용하기 위하여 진행된 이 연구에서는, CRISPR/Cas9 활용에 필수적인 원형질체 분리 효율을 1.0 × 10 8 /mL까지 안정적으로 끌어올렸고, spermidine을 이용하여PEG 형질전환의 효율 또한 기존 방법에 비해 100배가량 끌어올렸음을 보고한다.

큰느타리의 수출시 유통 기한 연장을 목적으로 수확시 품질 등급, 대와 자실체 사이를 잘라낸 손질 처리 유무, 그리고 관행 OPP 봉지에 끈묶음한 포장 방법을 개선시켜 트레이용기에 넣은 후 밀봉처리시 효과를 구명하고자 하였다. 수확시 품질 등급은 수확전 재배사의 온도를 9~11˚C 낮추어 적응시킨 버섯을 특품으로, 관행 13~15˚C로 적응시킨 버섯을 상품으로 설정하였다. 선별한 특품과 상품 버섯을 이용하여 손질 및 포장방법으로 3처리구를 두었다. 첫째는 절단 손질 후 OPP 봉지에 넣어 끈묶음한 포장(Cut & OPP), 둘째는 손질하지 않고 OPP 봉지에 넣어 끈묶음한 포장(Uncut & OPP), 마지막으로 개선포장방 법으로 절단 손질한 후 트레이용기에 넣고 밀봉한 포장 (Cut & Tray)이었다. 포장 완료한 버섯 처리구를 0℃ 저장고에 42일간 보관하면서 포장 내부의 기체 조성, 품질 요인의 변화, 신선 품질에 대한 관능평가를 실시하였다. 특품과 상품의 버섯 모두 Cut & Tray, Cut & OPP, 그리고 Uncut & OPP 처리 순으로 전반적으로 신선도가 높게 유지되었다. 특품 버섯의 유통 수명은 Cut & Tray 처리의 경우 30일, Cut & OPP 처리의 경우 28일, Uncut & OPP 처리의 경우 21일이었고, 상품 버섯의 유통 수명은 Cut & Tray 처리시 22일, Cut & OPP 처리시 17일, 그리고 Uncut & OPP 처리시 14 일이었다. 신선 버섯의 품질에 영향을 미치는 요인은 갓과 대의 갈변과 부패 지수였다. 특히, 버섯 대의 아랫부분의 갈변과 그에 연관된 표피색 a*값과 b*값의 변화가 품질 저하의 주요인이었다.

연구목적 : 본 연구는 착석시 의자등받이가 사용자의 허리를 감싸안고 척추형태에 반응하여 자연스러운 척추 곡선을 유지 및 증진시켜 줌으로써 바른 자세 유지 및 허리 피로감 해소에 도움을 주는 척추 굴곡 반응형 의자등받이를 개발하고 이의 효과를 과학적으로 검증하는데 목적을 두었다. 연구방법 : 척추 굴곡 반응형 등받이는 일반 사무용 의자에 탈부착이 가능하며 사용자가 허리를 기댔을 때 등받이가 사용자의 척추라인에 따라 반응하도록 하여 허리 전체가 등받이에 밀착됨으로써 척추의 자연스러운 굴곡 형태를 유지하고 증진시키도록 개발하였다. 개발된 등받이의 효과성 검증을 위해 표준체형의 남자대학(원)생 10명을 피실험자로 선정하여 동작분석기와 근전계를 활용하여 착석시 척추 굴곡의 변화 측정과 척추 세움근의 활성도를 측정하였다. 결과 : 개발된 등받이와 비교 대상 의자에 착석시 척추 곡선 변화에 대한 동작분석기 평가결과, 등받이 각도 105o부터 시작하여 리클라이닝 각도가 125o로 커짐에 따라 요추의 전만곡과 흉추의 후만곡이 커짐으로써 척추 곡선이 증진됨을 보였다. 근전계를 활용한 척추 세움근(L5/S1)의 평가결과 개발된 의자를 사용했을 때 모든 등받이 각도에서 사후 중앙주파수 값이 사전 중앙주파수 값보다 높게 측정됨으로써 피 로지수가 낮아졌음을 알 수 있었다. 결론 : 본 연구에서 개발한 척추 굴곡 반응형 등받이는 착석시 바른자세를 유지하게 하여 허리근육의 긴장완화와 허리디스크에 가해지는 압력을 감소시켜 장시간 앉아서 업무를 보거나 공부하는 학생들의 피로감을 줄여줄 의자로써 활용이 가능하며 향후 이의 도입과 확산을 위한 추가적인 연구개발의 필요성을 제안한다.

This study explored the usefulness and implications of the Bayesian hyperparameter optimization in developing species distribution models (SDMs). A variety of machine learning (ML) algorithms, namely, support vector machine (SVM), random forest (RF), boosted regression tree (BRT), XGBoost (XGB), and Multilayer perceptron (MLP) were used for predicting the occurrence of four benthic macroinvertebrate species. The Bayesian optimization method successfully tuned model hyperparameters, with all ML models resulting an area under the curve (AUC) > 0.7. Also, hyperparameter search ranges that generally clustered around the optimal values suggest the efficiency of the Bayesian optimization in finding optimal sets of hyperparameters. Tree based ensemble algorithms (BRT, RF, and XGB) tended to show higher performances than SVM and MLP. Important hyperparameters and optimal values differed by species and ML model, indicating the necessity of hyperparameter tuning for improving individual model performances. The optimization results demonstrate that for all macroinvertebrate species SVM and RF required fewer numbers of trials until obtaining optimal hyperparameter sets, leading to reduced computational cost compared to other ML algorithms. The results of this study suggest that the Bayesian optimization is an efficient method for hyperparameter optimization of machine learning algorithms.

Agarum clathratum (A. clathratum) is a marine brown algal species that belongs to the Costariaceae family and has antioxidant and anti-microbial properties. However, the anti-inflammatory effects of A. clathratum and the molecular mechanisms involved have not been determined so far. This study aimed to investigate the anti-inflammatory effects of A. clathratum extracts in THP-1 macrophages stimulated by lipopolysaccharide (LPS) derived from Porphyromonas gingivalis. The THP-1 cells were differentiated with 12-O-tetradecanoylphorbol-13-acetate and treated with A. clathratum before LPS stimulation. Cell viability was assessed using the trypan blue exclusion assay. The expression of pro-inflammatory response-associated molecules was evaluated by quantitative real-time polymerase chain reaction and Western blot analysis. A. clathratum treatment inhibited the expression of interleukin-1β in LPS-stimulated THP-1 macrophages without causing any cytotoxicity. The anti-inflammatory effect of A. clathratum resulted in a significant repression of the JNK/c-Jun signaling axis, a key regulator in inflammation responses. This study highlights the possible role of A. clathratum in the inhibition of pro-inflammatory cytokines via suppression of the JNK/c-Jun signaling axis and suggests that A. clathratum could serve as a marine-derived anti-inflammatory agent in periodontitis.

Graphene, a new material with various advantageous properties, has been actively used in various fields in recent years. Applications of graphene oxide are increasing in combination with other materials due to the different properties of graphene oxide, depending on the number of single and multiple layers of graphene. In this study, single-layer graphene oxide and multi-layer graphene oxide are spray coated on polystyrene, and the physicochemical properties of the coated surfaces are characterized using SEM, Raman spectroscopy, AFM, UV-Vis spectrophotometry, and contact angle measurements. In singlelayer graphene oxide, particles of 20 μm are observed, whereas a 2D peak is less often observed, and the difference in surface height increases according to the amount of graphene oxide. Adhesion increases with an increase in graphene oxide up to 0.375 mg, but decreases at 0.75 mg. In multi-layer graphene oxide, particles of 5 μm are observed, as well as a 2D peak. According to the amount of graphene oxide, the height difference of the surface increases and the adhesive strength decreases. Both materials are hydrophilic, but single-layer graphene oxide has a hydrophilicity higher than that of multi-layer graphene oxide. We believe that multi-layer graphene oxide and single-layer graphene oxide can be implemented based on the characteristics that make them suitable for application.

Conditional spectra (CS) are applied to the seismic fragility assessment of a nuclear power plant (NPP) containment building for comparison with a relevant conventional uniform hazard response spectrum (UHRS). Three different control frequencies are considered in developing conditional spectra. The contribution of diverse magnitudes and epicentral distances is identified from deaggregation for the UHRS at a control frequency and incorporated into the conditional spectra. A total of 30 ground motion records are selected and scaled to simulate the probability distribution of each conditional spectra, respectively. A set of lumped mass stick models for the containment building are built considering nonlinear bending and shear deformation and uncertainty in modeling parameters using the Latin hypercube sampling technique. Incremental dynamic analysis is conducted for different seismic input models in order to estimate seismic fragility functions. The seismic fragility functions and high confidence of low probability of failure (HCLPF) are calculated for different seismic input models and analyzed comparatively.

Metal three-dimensional (3D) printing is an important emerging processing method in powder metallurgy. There are many successful applications of additive manufacturing. However, processing parameters such as laser power and scan speed must be manually optimized despite the development of artificial intelligence. Automatic calibration using information in an additive manufacturing database is desirable. In this study, 15 commercial pure titanium samples are processed under different conditions, and the 3D pore structures are characterized by X-ray tomography. These samples are easily classified into three categories, unmelted, well melted, or overmelted, depending on the laser energy density. Using more than 10,000 projected images for each category, convolutional neural networks are applied, and almost perfect classification of these samples is obtained. This result demonstrates that machine learning methods based on X-ray tomography can be helpful to automatically identify more suitable processing parameters.

현재 양송이 종균은 1980년대 개발된 방법으로 제조되고 있어, 양송이 종균 품질 향상을 위한 새로운 제조 방법을 개발하였다. 그 결과 균사체량이 5.92±0.52 g/L로 가장 많이 배양된 CDB(compost dextrose broth) 배지에서 24oC에서 120 rpm으로 진탕 배양(24시간/일) 하는 통기 식(2.5 L/min) 액체배양법으로 배양기간 10일이 액체 접종원 사용으로 양호했으며, 양송이 밀 배지 종균 생산은 밀 배지 50 g당 액체 접종원 1 ml을 적정 접종량으로 하여 10일 배양하면 종균의 뭉침과 흔드는 작업없이 적절하게 배양되었음을 보고한다.

The damage to non-structural elements in buildings has been increasing due to earthquakes. In Korea, post-installed anchors produced overseas have been mainly used for seismic anchorage of non-structural components to structures. Recently, a new cast-in-place concrete insert anchor installed in concrete without drilling has been developed in Korea. In this paper, an experimental study was conducted to evaluate the tensile and shear strengths of the newly developed anchor under monotonic load. The failure modes of the tension specimens were divided into concrete breakout failure and steel failure, and all shear specimens showed steel failure. In both tension and shear, the maximum loads of specimens were greater than the nominal strengths predicted by the concrete design code (KDS 14 20 54). As a result, it is expected that the current code can also be used to calculate the strength of the developed cast-in anchor.