Investigation of the SH3BP2 Gene Mutation in Cherubism

Cherubism is a rare developmental lesion of the jaw that is generally inherited as an autosomal dominant trait. Recent studies have revealed point mutations in the SH3BP2 gene in cherubism patients. In this study, we examined a 6-year-old Korean boy and his family. We found a Pro418Arg mutation in the SH3BP2 gene of the patient and his mother. A father and his 30-month-old younger brother had no mutations. Immunohistochemically, the multinucleated giant cells proved positive for CD68 and tartrate-resistant acid phosphatase (TRAP). Numerous spindle-shaped stromal cells expressed a ligand for receptor activator of nuclear factor kB (RANKL), but not in multinucleated giant cells. These results provide evidence that RANKL plays a critical role in the differentiation of osteoclast precursor cells to multinucleated giant cells in cherubism. Additionally, genetic analysis may be a useful method for differentiation of cherubism.</p

Revisiting small-world network models: Exploring technical realizations and the equivalence of the Newman-Watts and Harary models

We address the relatively less known facts on the equivalence and technical realizations surrounding two network models showing the "small-world" property, namely the Newman-Watts and the Harary models. We provide the most accurate (in terms of faithfulness to the original literature) versions of these models to clarify the deviation from them existing in their variants adopted in one of the most popular network analysis packages. The difference in technical realizations of those models could be conceived as minor details, but we discover significantly notable changes caused by the possibly inadvertent modification. For the Harary model, the stochasticity in the original formulation allows a much wider range of the clustering coefficient and the average shortest path length. For the Newman-Watts model, due to the drastically different degree distributions, the clustering coefficient can also be affected, which is verified by our higher-order analytic derivation. During the process, we discover the equivalence of the Newman-Watts (better known in the network science or physics community) and the Harary (better known in the graph theory or mathematics community) models under a specific condition of restricted parity in variables, which would bridge the two relatively independently developed models in different fields. Our result highlights the importance of each detailed step in constructing network models and the possibility of deeply related models, even if they might initially appear distinct in terms of the time period or the academic disciplines from which they emerged.Comment: 11 pages, 5 figures, 1 table, to appear in J. Korean Phys. So

BIM-Based Construction Information Management Framework for Site Information Management

Projects in the construction industry are becoming increasingly large and complex, with construction technologies, methods, and the like developing rapidly. Various different types of information are generated by construction projects. Especially, a construction phase requires the input of many resources and generates a diverse set of information. While a variety of IT techniques are being deployed for information management during the construction phase, measures to create databases of such information and to link these various different types of information together are still insufficient. As such, this study aims to suggest a construction information database system based on BIM technology to enable the comprehensive management of site information generated during the construction phase. This study analyzed the information generated from construction sites and proposed a categorization system for structuring the generated information, along with a database model for storing such structured information. Through such efforts, it was confirmed that such a database system can be used for accumulating and using construction information; it is believed that, in the future, the continual accumulation and management of construction information will allow for corporate-level accumulation of knowledge as opposed to the individual accumulation of know-how

Learning Speed Enhancement of Iterative Learning Control with Advanced Output Data based on Parameter Estimation

Learning speed enhancement is one of the most important issues in learning control. If we can improve both learning speed and tracking performance, it will be helpful to the applicability of learning control. Considering these facts, in this paper, we propose a learning speed enhancement scheme for iterative learning control with advanced output data (ADILC) based on parameter estimation. We consider linear discrete-time non-minimum phase (NMP) systems, whose model is unknown, except for the relative degree and the number of NMP zeros. In each iteration, estimates of the impulse response are obtained from input-output relationship. Then, learning gain matrix is calculated from the estimates, and by using new learning gain matrix, learning speed can be enhanced. Simulation results show that the learning speed has been enhanced by applying the proposed method

Power-saving method for wireless sensor network

A power saving method of the present invention is provide for a wireless sensor network including a plurality of sensor nodes each transiting between a power saving mode and a transmit/receive mode, determines whether or not there is no transmit or receive data, enters the power saving mode if there is no transmit or receive data, and controls power consumption on the basis of signal-to-noise ratios in the power saving mode. In the power saving method of the present invention, it is possible to minimize the power consumption regardless of nodes density and without an adverse effect on the connectivity of the network, since the sojourn times of the sleep and idle states are determined adaptive to the interference level from neighboring nodes.Board of Regents, University of Texas Syste

Adaptive Navigation Control for Swarms of Autonomous Mobile Robots

This paper was devoted to developing a new and general coordinated adaptive navigation scheme for large-scale mobile robot swarms adapting to geographically constrained environments. Our distributed solution approach was built on the following assumptions: anonymity, disagreement on common coordinate systems, no pre-selected leader, and no direct communication. The proposed adaptive navigation was largely composed of four functions, commonly relying on dynamic neighbor selection and local interaction. When each robot found itself what situation it was in, individual appropriate ranges for neighbor selection were defined within its limited sensing boundary and the robots properly selected their neighbors in the limited range. Through local interactions with the neighbors, each robot could maintain a uniform distance to its neighbors, and adapt their direction of heading and geometric shape. More specifically, under the proposed adaptive navigation, a group of robots could be trapped in a dead-end passage,but they merge with an adjacent group to emergently escape from the dead-end passage. Furthermore, we verified the effectiveness of the proposed strategy using our in-housesimulator. The simulation results clearly demonstrated that the proposed algorithm is a simple yet robust approach to autonomous navigation of robot swarms in highlyclutteredenvironments. Since our algorithm is local and completely scalable to any size, it is easily implementable on a wide variety of resource-constrained mobile robots andplatforms. Our adaptive navigation control for mobile robot swarms is expected to be used in many applications ranging from examination and assessment of hazardous environments to domestic applications

Happiness Education: International Use of Floating Signifiers in Education Policy // 행복교육: 교육정책에서의 부유기표와 의도적 언어 오용

Over the past decade, the concept of ‘happiness’ has been promoted by global agencies and national education authorities as a solution to the social problems of high teenager suicide rates, school bullying, and increasing socioeconomic polarization. This article considers ‘HEP: Happiness Education Policy’ in Korea, which was initiated by conservative Park Geun-hye administration (2013-2017) and partly succeeded by the subsequent progressive Moon Jae-in administration (2017-2022). The analysis reveals that the definitional ambiguity of happiness education has opened a space for multiple ascriptions of meanings, particularly those that are in line with the Park administration’s political and economic visions of ‘creative economy’. It also demonstrates that policies introduced as part of the HEP, such as the Free Semester initiative, have continued to be promoted and even expanded by Moon administration (2017-2022) despite their replacement of the signifier ‘happiness’ by ‘innovation’ and ‘future’. Therefore, this study suggests happiness education and, more lately, future education as good examples of ‘floating signifiers’; that is, by lacking a clear referent, they minimize political objections and legitimate the introduction and continuation of contested reforms. // 본 연구는 정책 전이 및 차용 이론에 근거하여 박근혜 정부의 ‘꿈과 끼를 키우는 행복교육 을 중심으로 정책 명칭과 관련된 언어의 의도적 오용 현상에 대해 분석하였다. 행복교육의 경우 OECD가 인도적 전환(humanitarian turn)을 시도하며 2012 국제 학업성취도 평가 (PISA)에 처음 도입한 행복 및 웰빙 문항들로 구체화되어 전이 되었다. 대한민국 학생들의 낮은 삶의 만족도에 대한 사회적 논란과 북유럽 교육에 대한 환상이 ‘대선’이라는 이벤트와 결합해 ‘행복 교육 이라는 대안으로 차용되었다. 최근 OECD에서는 ‘행복 및 ‘웰빙 이라는 용어들이 교육 성과의 척도를 넘어서 미래 우수 인력이 필수적으로 지녀야할 자질 및 역량으로 강조되는 등 인도적 전환의 색채가 지워지고 있다. 현 문재인 정부에서도 자유학년제 등 이전 정부의 행복교육 기조 아래 등장했던 정책과제들이 계속해서 이어지고 있으나, 기존 ‘행복 이라는 수식어는 미래, 혁신, 공정, 평등 등 새로운 용어로 변화하였다. 그러나 행복교육과 마찬가지로, ‘혁신 , ‘미래 등의 용어가 의미하는 바에 대해서는 의미가 불분명하여 해석 및 사용이 자의적으로 이루어지고 있다. 본 연구는 이런 수식어들이 교육정책 도입을 정당화하는 하나의 ‘부유 기표 (floating signifier)로 작용하고 있으며, 이와 같은 언어의 의도적 오용 현상은 암묵적인 양당의 합의 (bipartisanship)로 강화되었음을 밝혔다