This research proposes a novel approach to tackle the challenge of categorizing unstructured customer complaints in the automotive industry. The goal is to identify potential vehicle defects based on the findings of our algorithm, which can assist automakers in mitigating significant losses and reputational damage caused by mass claims. To achieve this goal, our model uses the Word2Vec method to analyze large volumes of unstructured customer complaint data from the National Highway Traffic Safety Administration (NHTSA). By developing a score dictionary for eight pre-selected criteria, our algorithm can efficiently categorize complaints and detect potential vehicle defects. By calculating the score of each complaint, our algorithm can identify patterns and correlations that can indicate potential defects in the vehicle. One of the key benefits of this approach is its ability to handle a large volume of unstructured data, which can be challenging for traditional methods. By using machine learning techniques, we can extract meaningful insights from customer complaints, which can help automakers prioritize and address potential defects before they become widespread issues. In conclusion, this research provides a promising approach to categorize unstructured customer complaints in the automotive industry and identify potential vehicle defects. By leveraging the power of machine learning, we can help automakers improve the quality of their products and enhance customer satisfaction. Further studies can build upon this approach to explore other potential applications and expand its scope to other industries.

The entomopathogenic fungus Metarhizium anisopliae is one of potent biological control agents against a variety ofinsect pests. In this study, we investigated enzyme production of M. anisopliae strains A and B. They produced extracellularenzymes for degrading the epidermis of Monochamus alternatus, a crucial mediator of the pinewood nematode Bursaphelenchusxylophilus. With Q-TOF MS/MS analysis, 29 kDa protein, a major band on a SDS-PAGE gel, was identified as subtilisin-likeserine protease PR1A. M. anisopliae A produced an extracellular enzyme more efficiently than M. anisopliae B: however,enzyme activities targeted for the cuticle were comparable. Our results suggest that the two strains of M. anisopliae havethe biological potential against M. alternatus with insecticidal protease production.

The entomopathogenic fungus Metarhizium anisopliae B is a powerful biological control agent against Monochamusalternatus, a crucial mediator of the pinewood nematode Bursaphelenchus xylophilus. In this study, production of destruxins(dtxs), insecticidal cyclic hexadepsipeptides, was monitored in the submerged culture of M. anisopliae B. Three typesof dtxs, i.e., destruxin A, B, and E, were produced during the culture. Among the three dtxs, the production yield ofdestruxin A was best, followed by destruxin B and E. Destruxin A production was increased when pH was controlledat 6.0, whereas production of destruxin E was not affected by the pH control. The highest yield of dtxs A, B, and Ewere 16.4, 7.3, and 6.1 mg L-1, respectively. Considering that process for dtxs production has not been optimized, M.anisopliae B has more powerful implication as a biocontrol agent.

Morphology of antennal sensilla and their distribution were investigated in male and female adults of Plautia stali,a major pest of tree fruits, using scanning electron microscopy. Antennae of P. stali was composed of a scape, a pediceland three flagella in both sexes. Four types of sensilla (s. trichodea, s. basiconica, s. chaetica, s. coeloconica) were identifiedfrom both sexes. Among them, s. trichodea and s. basiconica were multiporous, others are not. They distributed in varyingnumbers. Sexual dimorphism was not shown in the distribution of the four sensilla types. But their distribution was characterizedalong antennal segments in both sexes. This study will be useful in electrophysiological and behavioral studies on theolfactory sensory function of each morphological type of sensilla.

Morphology of antennal sensilla and their distribution were investigated in male and female adults of Ooencyrtus nezarae, an egg parasitoid of Riptortus pedestris, using scanning electron microscopy. Antennae of O. nezarae was composed of scape, pedicel and seven flagella in both sexes. Six types of sensilla (s. trichodea, s. basiconica, s. chaetica, s. campaniformia, s. sickle-shaped and unknown s.) were identified from both sexes. Among them, s. trichodea and s. sickle-shaped were multiporous, others are not. They distributed in varying numbers. Sexual dimorphism was clearly observed in the distribution of s. trichodea (only on male antennae) and unknown sensilla (only on female antennae). These findings would be helpful for further studies on detailed sex specific-receptive functions of each antennal sensilla.

Euzophera batangensis (Lepidotera: Pyralidae) is seriously damaging trunks or branches of persimmon tree (Diospyros sp.). We tested the attractiveness of (Z)-9-tetradecen-1-ol (Z9-14OH) and (Z9,E12)-tetradeca- 9,12-dien-1-ol (Z9,E12-14OH) with single or blended baits at southern parts of Korea in 2014 and 2015. The monoene was not attractive at all at three places during the two years. In 2014, diene was equally or more attractive than the mixture in Jinju and Suncheon, respectively. In 2015 too, the attractiveness of diene and mixture was not different in Jinju and Munsan. Monitoring of the seasonal occurrence of E. batangesis with the sex pheromone components revealed that it occurred three times a year; the first occurrence from early April to mid May, the second from early Jun to mid July, and the third from late August to late September.

Lentinula edodes is known by oak mushroom. It has been favored as delicious and nutritious food and the low-calorie food with a high nutritional value. It is also functional food since it contains a material well-known for its medicinal benefits. Since the growth and quality of oak mushrooms are sensitively affected by environmental conditions, an adequate environmental control is very essential to improve the yield and quality under protected cultivation. The main objectives of the study were to investigate cultural characteristics of mycelial growth and in vitro fruiting of Lentinula edodes. The optimum culture media for mycelial growth of L. edodes were PDA and MYA. Similarly, optimum temperature was 25℃. Malt extract(2%) and yeast extract(0.2%) were optimum carbon and nitrogen sources. Optimal culture period was 110~120 days in sawdust medium. Among different five log types, highest mycelial growth and fruiting productivity were observed in Quercus variabilis sawdust(20.9%).

Ski protein is implicated in proliferation/differentiation in a variety of cells. We had previously reported that Ski protein is present in granulosa cells of atretic follicles, but not in preovulatory follicles, suggesting that Ski has a role in apoptosis of granulosa cells. The alternative fate of granulosa cells other than apoptosis is to differentiate to luteal cells; however, it is unknown whether Ski is expressed and has a role in granulosa cells undergoing luteinization. Thus, the aim of the present study was to locate Ski protein in the rat ovary during luteinizationto predict the possible role of Ski. In order to examine the expression pattern of Ski protein along with the progress of luteinization, follicular growth was induced by administration of equine chorionic gonadtropin to immature female rats, and luteinization was induced by human chorionic gonadtropin treatment to mimic luteinizing hormone (LH) surge. While no Ski-positive granulosa cells were present in preovulatory follicle, Ski protein expression was induced in response to LH surge, and was maintained after the formation of the corpus luteum (CL). Though Ski protein is absent in granulosa cells of preovulatory follicle, its mRNA (c-Ski)was expressed and the level was unchanged even after LH surge. Taken together, these results demonstrated that Ski protein expression is induced in granulosa cells upon luteinization, and suggests that its expression is regulated post-transcriptionally.

본 연구에서는 4대강 살리기 사업 후 퇴적현상이 지배적으로 발생하는 남한강과 섬강 합류부 구간을 대상으로 2차원 수치모형인 CCHE2D 모형을 이용하여 하천의 흐름 및 하상변동에 대한 해석을 수행하였다. 대상지점 합류부는 남한강 본류의 만곡부에 지류 섬강이 유입되는 특성을 갖는다. CCHE2D 모형은 비평형 유사이송을 해석하며 소류사와 부유사 조정거리가 중요한 입력변수로 대상지점에서는 소류사 조정거리가 하상변동에 가장 큰 영향을 주는 것으로 나타났다. 수치모의 결과 유량비(Qr) 변화가 남한강과 섬강 합류부 지점에서 흐름 및 하상변동에 영향을 미쳤으며, Qr≤ 2.5인 경우에는 합류전 본류의 유속이 증가하여 흐름박리구역을 감소시켰으며 이로 인해 합류부 내측의 퇴적이 감소하였다. Qr>2.5이면 합류부 구간에 퇴적이 증가하여 사주가 형성될 가능성이 높은 것으로 나타났다. 수치모의를 통해 2013년에 발생한 유량비 변화에 의해 합류부에 고정사 주가 형성된 것을 알 수 있었다.

본 연구에서는 순환신경망을 이용한 댐 유입량 예측모형의 적용성 검토를 목적으로 하고 있으며, 이를 위해 소양강댐 유역 및 충주댐 유역을 대상 으로 그간 댐 운영을 통해 축적된 기상 및 수문 빅데이터를 활용하여 인공신경망 모형과 엘만 순환신경망 모형을 구축하였다. 모형의 학습과 예측 을 위하여 유역별 유입량, 강우량, 기온, 일조시간, 풍속자료가 입력자료로 사용되었고 10일간 일별 댐유입량 자료가 모델의 출력자료로 구조화 하여 학습을 진행한 후 검증을 목적으로 2016년 7월 ~ 2018년 6월까지 2개년에 대한 댐 유입량 예측을 수행하였다. 학습된 모형의 유입량 예측 결과를 비교분석한 결과, 소양강댐 유역에서는 인공신경망 모형과 순환신경망 모형 간 예측성능은 큰 차이를 보이지 않았으며, 충주댐 유역에서는 순환신경망 모형의 예측 결과가 인공신경망 모형에 비해 비교적 우수한 성능을 보임에 따라 엘만 순환신경망을 이용하여 댐 유입량 예측모형을 구축 할 경우 예측성능은 기존의 인공신경망 모형과 비슷하거나 다소 우수할 것으로 판단된다. 또한 엘만 순환신경망은 갈수기 댐 유입량 예측에 있어서 인공신경망에 비해 예측결과의 재현성이 우수한 것으로 나타났으며, 엘만 순환신경망 학습에 있어 다중 은닉층 구조가 단일 은닉층 구조보다 예측 성능 향상에 효과적인 것으로 분석되었다.

Background : The root of Angelica gigas Nakai is used as a traditional herbal medicine in Korea for the treatment of many diseases. Poor water solubility of the active compounds from A. gigas Nakai is a major obstacle to bioavailability. Methods and Results : This work aimed to enhance the solubility of active compounds by a chemical (viz. surfactant) and physical (HME, hot melt extrusion) crosslinking method (CPC) in A. gigas Nakai. Infrared fourier transform spectroscopy (FT-IR) revealed multiple peaks in extrudate solids representing new functional groups including carboxylic acid, alkynes and benzene derivatives. Differential scanning calorimetry (DSC) analysis of the extrudate showed lower glass transition temperature (Tg) and lower enthalpy (ΔH) [Tg: 43℃; ΔH: <6 (J/g)] compared to the non-extrudate (Tg 68.5℃; ΔH: 123.2) formulations. X-ray powder diffraction (XRD) analysis revealed amorphization of crystal materials in extrudate solid. In addition, enhanced solubility (53%), nanonization (403 ㎚), and higher amount of extracted phenolic compounds were achieved in the extrudate solid compared to non extrudate (36%, 1499 ㎚, respectively). Among the different extrudates, acetic acid and span 80 mediated formulations showed superior extractions efficiency. Conclusion : We conclude that the HME successfully enhanced the production of amorphous nano dispersions of phenolic compound including decursin from extrudate solid formulations. human dermal fibroblasts, which is, associated with the regulation of procollagen biosynthesis resulting from AMRP-induced TGF-β1 expression and the mitogenic activity in HDF cells, and therefore, is expected to reduce the age-dependent loss of extracellular matrix proteins.