Gossip consensus and averaging algorithms with quantization

Abstract-We study distributed consensus problems of multiagent systems on directed networks and subject to quantized information flow. For the communication among component agents, particular attention is given to the gossip type, which models their asynchronous behaviors; for quantization effects, each agent's state is abstracted to be an integer. The central question investigated is how to design distributed algorithms and what connectivity of networks that together lead to consensus. This investigation is carried out for both general consensus and average consensus; for each case, a class of algorithms is proposed, under which a necessary and sufficient graphical condition is derived to guarantee the corresponding consensus. In particular, the obtained graphical condition ensuring average consensus is weaker than those in the literature for either realvalued or quantized states, in the sense that it does not require symmetric (or balanced) network topologies

Development of Phonon Dynamics Measurement System by MIR- FEL and Pico-second Laser

FEL2015, Daejeon, Republic of KoreaCoherent control of a lattice vibration in bulk solid (mode-selective phonon excitation: MSPE) is one of the attractive methods in the solid state physics because it becomes a powerful tool for the study of ultrafast lattice dynamics (e.g. electron-phonon interaction and phonon-phonon interaction). Not only for that, MSPE can control electronic, magnetic, and structural phases of materials. In 2013, we have directly demonstrated MSPE of a bulk material with MIR-FEL (KU-FEL) by anti-Stokes Raman scattering spectroscopy. For the next step, we are starting a phonon dynamics measurement to investigate the difference of physical property between thermally excited phonon (phonon of equilibrium state) and optically excited phonon (phonon of non-equilibrium state) by time-resolved method in combination with a pico-second VIS laser. By using pico-second laser, we also expect to perform the anti-Stokes hyper-Raman scattering spectroscopy to extend MSPE method to the phonon mode which has Raman inactive . As the first step, we have commissioned the time-resolved phonon measurement system and started measurement on 6H-SiC. In this conference, we will present the outline of measurement system, and experimental results

β-リン酸三カルシウムによる担体を併用した歯の移植は骨と歯周組織再生を促進する

緒言歯の先天性欠如の治療法として，他の治療法に対して，より高い機能性，審美性の向上，治療時間の短縮の利点により歯の移植の有用性が報告されている．しかしながら，移植床が歯の歯根幅に対し矮小な場合，適応外となる症例があった．そこで，本研究では歯の移植に合わせて不足する歯槽骨を再生させる事で，歯の移植治療の適応拡大を目指すことを目的として，移植された歯根周囲の骨再生に対するβ-TCPブロックおよび/または単核球（BM- MNCs）の影響を調査した，実験材料および方法移植歯と細胞のドナーとして，3週齢雄性C57BL/6Jマウスを用いた．上顎第一臼歯，上顎第二臼歯の抜歯を行い, 同系マウス大腿骨・脛骨の骨髄から， 密度勾配遠心法にてBM- MNCsの分離を行った．抽出したBM- MNCsは flow cytometryで分析した． 実験はMNC群，β-TCP群，Control群の3群とし，MNC群ではβ-TCP担体+MNC+歯, β-TCP群ではβ-TCP担体+歯，Control群では歯のみを6週齢雄性同系マウスの大腿筋内に移植した．移植4週間後に移植物を摘出し, 動物用マイクロCTにて評価を行った．標本は，HE染色，マッソントリクローム染色，およびOsteopontin(OPN)，Osteocalcin(OCN)，Periostin，type I Collagenに対する免疫組織染色をおこなった．再生組織の形態計測分析にはTRI/3D-BON（ラトック社）を用いた．結果抽出したBM- MNCsは，CD29 +/CD90+/CD45-細胞が0.5%であった．3群とも歯根周囲に骨再生を伴う歯周組織の再生が認められた．MNC群とβ-TCP群では，Control群と比較して，新生骨の骨組織体積（TV）， 骨体積（BV），骨表面積(BS)，ダイレクト計測骨梁幅（Tb. Th）とフラクタル次元が有意に大きかった（P<0.05）．また，MNC群とβ-TCP群では歯根の外側にも新生骨が認められたが，Control群では新生骨は外側での骨形成はわずかであった．新生骨は歯根周囲に限局していた．組織学的解析では，すべての群で未成熟な新生骨を示した．OPN陽性細胞，OCN陽性細胞は全ての実験群で新生骨の周囲に観察された．また，MNC群とβ-TCP群の根尖部は肥大したセメント質様組織が時折認められ，Control群では歯根外部吸収が認められた．歯根と新生骨間にはコラーゲンを含む歯根膜様の組織が形成され，一部はPeriostinおよびtype I Collagen陽性であった．この膠原線維は歯根表面に対して，MNC群，β-TCP群では垂直または斜走する線維だったが，Control群ではより平行な線維が観察された．また，全群で歯髄腔内に骨様構造の形成を認めた．考察β-TCPを用いた群ではControl群と比較して骨形成が促進されたが，このメカニズムとしてβ-TCPの骨伝導効果，多孔質構造による血管新生の促進，および骨再生のためのスペース確保が考えられた．新生骨量には，MNC群とβ-TCP群で差が見られなかった．分離されたBM-MNCsの中で間葉系幹細胞を含むCD29+/CD90+/CD45-分画はわずか0.5%であり，新生骨の形成の促進には細胞数が十分でなかった可能性がある．但し，Tb.Th，やフラクタル次元ではMNC群がβ-TCP群と比較し有意に大きかったことから，BM-MNCsは骨成熟を促進したと考えられた．移植した歯根と，新生骨間には歯根膜様組織の再生が見られたが，コラーゲン線維の走行やPeriostin， type I Collagenの発現から，再生歯根膜は正常な歯根膜と比較して未熟であった．歯周組織の成熟には機械的刺激が必要とされており，移植後の歯に対して負荷が無いことが原因と考えられた．2020博士（歯学）松本歯科大

SOCNET 2018 - Proceedings of the “Second International Workshop on Modeling, Analysis, and Management of Social Networks and Their Applications”

Modeling, analysis, control, and management of complex social networks represent an important area of interdisciplinary research in an advanced digitalized world. In the last decade social networks have produced significant online applications which are running on top of a modern Internet infrastructure and have been identified as major driver of the fast growing Internet traffic. The "Second International Workshop on Modeling, Analysis and Management of Social Networks and Their Applications" (SOCNET 2018) held at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, on February 28, 2018, has covered related research issues of social networks in modern information society. The Proceedings of SOCNET 2018 highlight the topics of a tutorial on "Network Analysis in Python" complementing the workshop program, present an invited talk "From the Age of Emperors to the Age of Empathy", and summarize the contributions of eight reviewed papers. The covered topics ranged from theoretical oriented studies focusing on the structural inference of topic networks, the modeling of group dynamics, and the analysis of emergency response networks to the application areas of social networks such as social media used in organizations or social network applications and their impact on modern information society. The Proceedings of SOCNET 2018 may stimulate the readers' future research on monitoring, modeling, and analysis of social networks and encourage their development efforts regarding social network applications of the next generation.Die Modellierung, Analyse, Steuerung und das Management komplexer sozialer Netzwerke repräsentiert einen bedeutsamen Bereich interdisziplinärer Forschung in einer modernen digitalisierten Welt. Im letzten Jahrzehnt haben soziale Netzwerke wichtige Online Anwendungen hervorgebracht, die auf einer modernen Internet-Infrastruktur ablaufen und als eine Hauptquelle des rasant anwachsenden Internetverkehrs identifiziert wurden. Der zweite internationale Workshop "Modeling, Analysis and Management of Social Networks and Their Applications" (SOCNET 2018) wurde am 28. Februar 2018 an der Friedrich-Alexander-Universität Erlangen-Nürnberg abgehalten und stellte Forschungsergebnisse zu sozialen Netzwerken in einer modernen Informationsgesellschaft vor. Die SOCNET 2018 Proceedings stellen die Themen eines Tutoriums "Network Analysis in Python" heraus, präsentieren einen eingeladenen Beitrag "From the Age of Emperors to the Age of Empathy" und fassen die Ergebnisse von acht begutachteten wissenschaftlichen Beiträgen zusammen. Die abgedeckten Themen reichen von theoretisch ausgerichteten Studien zur Strukturanalyse thematischer Netzwerke, der Modellierung von Gruppendynamik sowie der Netzwerkanalyse von Rettungseinsätzen bis zu den Anwendungsbereichen sozialer Netzwerke, z.B. der Nutzung sozialer Medien in Organisationen sowie der Wirkungsanalyse sozialer Netzwerkanwendungen in modernen Informationsgesellschaften. Die SOCNET 2018 Proceedings sollen die Leser zu neuen Forschungen im Bereich der Messung, Modellierung und Analyse sozialer Netzwerke anregen und sie zur Entwicklung neuer sozialer Netzwerkapplikationen der nächsten Generation auffordern

Improving Mathematics Lesson and Evaluation through Setting Inquiry Problem-Solving Activities

The purpose of this research is to make a theoretical framework for improving mathematics lesson and evaluation through setting inquiry problem-solving activities effectively in junior high and senior high mathematics lessons. To achieve this, we first carried out a questionnaire survey to capture how students perceive learning mathematics and, based on the results, made a framework incorporated these activities for lesson design and evaluation of student’s learning. Then, sample lesson conducted in a junior and senior high school based on the framework was analyzed to investigate its effectiveness and get some practical suggestions