Abstract The brain moves within the skull, but the drivers and function of this motion are not understood. We visualized brain motion relative to the skull in awake head-fixed mice using high-speed, multi-plane two-photon microscopy. Brain motion was primarily rostrally and laterally directed, and was tightly correlated with locomotion, but not with respiration or the cardiac cycle. Electromyography recordings in abdominal muscles and microCT reconstructions of the trunk and spinal vasculature showed that brain motion was driven by abdominal muscle contractions that activate a hydraulic-like vascular connection between the nervous system and the abdominal cavity. Externally-applied abdominal pressure generated brain motion similar to those seen during abdominal muscle contractions. Simulations showed that brain motion drives substantial volumes of interstitial fluid through and out of the brain (at volumetric rates several times higher than production) into the subarachnoid space, in the opposite direction of fluid flow seen during sleep. The brain is hydraulically linked to the abdominal compartment, and fluid flow in the brain is coupled to body movements, providing a mechanism by which the mechanics of the viscera directly impact brain health.
본 연구는 유치권이 부동산경매의 매각가율에 어떠한 영향을 미치는지를 헤도닉가격모형 형태의 두가지 모형을사용하여 실증분석 한다. 기존 선행연구의 대부분은 진위여부가 확인되지 않은 유치권 경매정보를 활용하였지만, 본 연구는 법원 종합법률정보 홈페이지의 판례를 전수조사하여 진정성 있는 유치권 분쟁 경매사건을 확보하여 실증분석을 수행한다. 이를 통해 선행연구 결과를 재확인한다. 경매정보의 유치권행사 여부와 판례로 확보한 유치권 진위여부를 대용변수로 활용하여 유치권 제도의 운영이 초래하는 정보비대칭성 문제를 확인한다. 그 결과로, 유치권의 진위여부 불일치 비중, 매각가율의 차이를 확인한다. 정보비대칭으로 초래된 역선택은 유치권 제도 운영의 개선필요성을 제시한다This study empirically analyzes how mechanical liens affect the auction sales price ratio by comparing two competing hedonic pricing models. While most existing studies use unverified mechanical lien information as an independent variable, this study uses verified lien information as an independent variable by searching all court cases on the court’s comprehensive legal information website. The empirical analysis confirms the results of previous studies. By comparing the mechanical lien status in the auction information and the verified mechanical lien status confirmed by the court judgment as independent variables, we identify the information asymmetry problem caused by the current mechanical lien system. As a result, we find differences in the proportion of the true lien status and the auction sales price ratio. The adverse selection caused by information asymmetry suggests the need to improve the operation of the mechanical lien system.
정보통신기술의 빠른 발전과 디지털콘텐츠 산업의 확대로 인해 관련 실용학문분야는 교육의 내용과 환경에서 새로운 패러다임이 요구되고 있다. 특히, 디지털콘텐츠 산업의 핵심 분야인 애니메이션 교육은 창의와 융합 그리고 실무교육이 중시되며 교육 내용과 방법에서 많은 개선이 시도되었다. 하지만, 기존 컴퓨터실 형태의 획일적 교육 공간은 애니메이션 교육특성을 충분히 반영하지 못하고 있는 실정이다. 이에, 본 연구는 애니메이션 분야 직무 역량과 애니메이션 프로젝트 제작의 특성이 반영된 효율적인 실습교육 공간 구성을 제안하고자 한다. 이를 위한 연구의 전개는 첫째, 기존의 애니메이션 교육공간의 한계점에 대해 사례를 통해 분석하고, 그 문제점을 도출한다. 또한, Pre-production, Main-production, Post-production의 세 단계로 구성된 애니메이션 제작의 작업적 특성과 순차적 업무에 따른 여섯 개 세부 직무의 역량에 대해 고찰한다. 둘째, 애니메이션 제작공간의 구성을 파악하기 위해 공간구문론을 차용한 6가지 공간 유형에 대해 고찰한다. 셋째, 애니메이션 제작특성, 세부직무역량 요소, 6가지 공간 유형을 분석 툴로 하여, 애니메이션 제작 스튜디오인 Walt Disney의 작업환경과 공간구성에 대해 사례분석을 진행한다. 다섯째, 문헌연구와 사례연구의 결과를 연계적으로 분석하여 애니메이션 프로젝트 진행을 위한 효과적인 교육 공간 구성의 특성을 도출한다. 본 연구를 통해 프로젝트 실무와 직무역량요소의 특성이 반영된 교육 공간 구성을 제시하는데 의의가 있으리라 사료된다. 또한, 본 사례분석을 통해 애니메이션 교육공간 구성을 일반화 하는데 한계가 있으나, 기존과 차별화된 프로젝트 교육 공간구성을 위한 참고자료로 활용가치가 있으리라 기대한다. The practical learning requires the new paradigm in its content of education and environment along with the rapid development of information communication technology and the expansion of digital content industry. Especially, the animation education, core area of digital content industry, has attempted to improve the content and method of education by focusing on creativity, convergence and practical education. However, education environment in the previous form of computer laboratory has not been reflected the characteristics of animation education. In the light of this, this research would suggests the effective education environment implemented animation job competency and the characteristics of animation production. Firstly, the problem of previous educational environment will be explored through looking at computer rooms of domestic Universities. The characteristics of animation production consisted of Pre-production, Main-production, Post-production and elements of animation job competency will be reviewed by focusing on three phases of production, Pre-production, Main-production and Post-production, and six particular jobs, concept art, modeling & texturing, animating, lighting, VFX and compositing. Secondly, 6 types of space adapted from space syntax, possibly explored the embedded meaning of the structure of space and environment, will be reviewed by focusing on integration, separation and interaction. Thirdly, based on the characteristics of animation production, the element of animation job competency, 6 types of space, analytical tools about animation project education will be deducted, and the case study regarding animation studio, Walt Disney studio, will be processed by focusing on its production environment and spatial composition by focusing on Pre-production, Main-production, Post-production. Fifthly, the effective spatial composition for animation project education will be explored based on the interpretation of literature reviews and case study. In regard to this, the research addresses the spatial composition reflected the characteristics of practical learning and job competency in animation education, which differs from the previous form of standardized education spaces.
본 연구는 오피스시장의 흐름을 고려하여 대형오피스빌딩 중심의 기존연구에서 벗어나, 중소형오피스빌딩에 대한 다양한 분석을 통해 모형별 중요변수 도출 및 예측력을 검증하여, 중소형 오피스를 대상으로 투자를 하고자 하는 투자자들에게 정보를 제공함이 목적이다. 중소형오피스빌딩은 대형오피스빌딩과 달리 규모에 대한 기준이 불명확하고, 주거용과 상업용이 혼재되어 있는 경우가 많기 때문에 자료수집의 한계가 있기 때문에 기존 연구는 대형오피스빌딩을 대상으로 변수간의 인과관계 추정에 탁월한 회귀모형에 편중되었다. 본 연구에서는 강남구 중소형오피스빌딩을 직접 전수조사하고 최종 1,056개의 자료를 추출하여 인과관계 과정을 추정하는 선형회귀모형외에, 반복학습을 통해 최적의 결과를 만들어내는 신경망모형 및 의사결정나무모형을 통해 매매가격 결정요인을 추가로 분석하였으며, 이를 통해 대형오피스빌딩과의 차별점을 비교하였다. Most Studies for office market have focused on large-scale office buildings. There is, if any, a little research for small and medium-sized office buildings due to the lack of data. This study uses the self-searched and established 1,056 data in Gangnam-Gu, and estimates the data by not only linear regression model, but also data mining methods. The results provide investors with various information of price determinants, for small and medium-sized office buildings, comparing with large-scale office buildings. The important variables are street frontage condition, zoning of commercial area, distance to subway station, and so on.
Competition during range expansions is of great interest from both practical and theoretical view points. Experimentally, range expansions are often studied in homogeneous Petri dishes, which lack spatial anisotropy that might be present in realistic populations. Here, we analyze a model of anisotropic growth, based on coupled Kardar-Parisi-Zhang and Fisher-Kolmogorov-Petrovsky-Piskunov equations that describe surface growth and lateral competition. Compared to a previous study of isotropic growth, anisotropy relaxes a constraint between parameters of the model. We completely characterize spatial patterns and invasion velocities in this generalized model. In particular, we find that strong anisotropy results in a distinct morphology of spatial invasion with a kink in the displaced strain ahead of the boundary between the strains. This morphology of the out-competed strain is similar to a shock wave and serves as a signature of anisotropic growth.
Emergent nonreciprocity in active matter drives the formation of self-organized states that transcend the behaviors of equilibrium systems. Integrating experiments, theory and simulations, we demonstrate that active solids composed of living starfish embryos spontaneously transition between stable fluctuating and oscillatory steady states. The nonequilibrium steady states arise from two distinct chiral symmetry breaking mechanisms at the microscopic scale: the spinning of individual embryos resulting in a macroscopic odd elastic response, and the precession of their rotation axis, leading to active gyroelasticity. In the oscillatory state, we observe long-wavelength optical vibrational modes that can be excited through mechanical perturbations. Strikingly, these excitable nonreciprocal solids exhibit nonequilibrium work generation without cycling protocols, due to coupled vibrational modes. Our work introduces a novel class of tunable nonequilibrium processes, offering a framework for designing and controlling soft robotic swarms and adaptive active materials, while opening new possibilities for harnessing nonreciprocal interactions in engineered systems.
Predicting the composition and diversity of communities is a central goal in ecology. While community assembly is considered hard to predict, laboratory microcosms often follow a simple assembly rule based on the outcome of pairwise competitions. This assembly rule predicts that a species that is excluded by another species in pairwise competition cannot survive in a multispecies community with that species. Despite the empirical success of this bottom–up prediction, its mechanistic origin has remained elusive. In this study, we elucidate how this simple pattern in community assembly can emerge from resource competition. Our geometric analysis of a consumer-resource model shows that trio community assembly is always predictable from pairwise outcomes when one species grows faster than another species on every resource. We also identify all possible trio assembly outcomes under three resources and find that only two outcomes violate the assembly rule. Simulations demonstrate that pairwise competitions accurately predict trio assembly with up to 100 resources and the assembly of larger communities containing up to twelve species. We then further demonstrate accurate quantitative prediction of community composition using the harmonic mean of pairwise fractions. Finally, we show that cross-feeding between species does not decrease assembly rule prediction accuracy. Our findings highlight that simple community assembly can emerge even in ecosystems with complex underlying dynamics.
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