Relative Ding stability of toric Fano manifolds in low dimensions

The purpose of this study is to clarify all of the uniformly relatively Ding stable toric Fano threefolds and fourfolds as well as unstable ones. In the table we give the list of uniform relative Ding stabilities of all toric Fano manifolds in dimension up to 4 with the values of the Mabuchi constants.Comment: The paper has been completely rewritten. The statements on relative K-stability have been removed, for the authors have found that the computations in arXiv:1602.08201 on relative K-instability are totally wron

The disposition of building evacuation sites and war‐damage reconstruction in Sendai The projects and the relationships among public entities for the conversion of evacuation sites into urban planning sites

The Japanese version of this paper was published in Volume 84, Number 758, pages 1005-1015, https://doi.org/10.3130/aija.84.1005, of the Journal of Architecture and Planning (Transactions of AIJ). The authors have obtained permission for secondary publication of the English version in another journal from the Editor of the Journal of Architecture and Planning (Transactions of AIJ). This paper is based on the translation of the Japanese version with some slight modifications.IPHS Prizes and Awards 2022: East Asian Planning History PrizeThe purpose of this paper is to clarify the state of the disposition of building evacuation sites in Sendai, including the processes and background, whilst considering the project environment surrounding the disposition in central ministries and Sendai. The Home Ministry, which had been responsible for building evacuation during the wartime period, consistently promoted the conversion of evacuation sites into urban planning sites immediately following the end of World War II. The Ministry of Transport and the War-Damage Reconstruction Institute also planned to convert evacuation sites into urban planning sites and railway land. Therefore, in Sendai, there were plans to convert two evacuation sites into streets. However, due to differences in the project environment surrounding the disposition of evacuation sites; such as the number of evacuated houses, required expenses, regional characteristics, and differences in project characteristics; only one street was completed. Considering the influence of pre-war urban planning on building evacuation, and thus war-damage reconstruction: three streets coincided with preceding pre-war plans, and the pre-war urban planning street was taken over in a manner consistent with war-damage reconstruction through building evacuation

Detection and Quantification of Calcium Ions in the Endoplasmic Reticulum and Cytoplasm of Cultured Cells Using Fluorescent Reporter Proteins and ImageJ Software

This protocol describes a method for detecting and quantifying calcium ions in the endoplasmic reticulum (ER) and cytoplasm of cultured cells using fluorescent reporter proteins and ImageJ software. Genetically engineered fluorescent reporter proteins, such as G-CEPIA1er and GCaMP6f, localize to intracellular regions of interest (i.e., ER and cytoplasm) and emit green fluorescence upon binding to calcium ions. In this way, the fluorescence brightness of cells transfected with expression vectors for these reporters reflects the calcium ion concentration in each intracellular region. Here, we describe procedures for observing cultured cells expressing these fluorescent reporters under a fluorescence microscope, analyzing the obtained image using the free image analysis software ImageJ (https://imagej.net/ij/index.html), and determining the average fluorescence brightness of multiple cells present in the image. The current method allows us to quickly and easily quantify calcium ions on an image containing multiple cells and to determine whether there are relative differences in intracellular calcium ion concentration among experiments with different conditions

NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects

Deep generative models have been recently extended to synthesizing 3D digital humans. However, previous approaches treat clothed humans as a single chunk of geometry without considering the compositionality of clothing and accessories. As a result, individual items cannot be naturally composed into novel identities, leading to limited expressiveness and controllability of generative 3D avatars. While several methods attempt to address this by leveraging synthetic data, the interaction between humans and objects is not authentic due to the domain gap, and manual asset creation is difficult to scale for a wide variety of objects. In this work, we present a novel framework for learning a compositional generative model of humans and objects (backpacks, coats, scarves, and more) from real-world 3D scans. Our compositional model is interaction-aware, meaning the spatial relationship between humans and objects, and the mutual shape change by physical contact is fully incorporated. The key challenge is that, since humans and objects are in contact, their 3D scans are merged into a single piece. To decompose them without manual annotations, we propose to leverage two sets of 3D scans of a single person with and without objects. Our approach learns to decompose objects and naturally compose them back into a generative human model in an unsupervised manner. Despite our simple setup requiring only the capture of a single subject with objects, our experiments demonstrate the strong generalization of our model by enabling the natural composition of objects to diverse identities in various poses and the composition of multiple objects, which is unseen in training data. https://taeksuu.github.io/ncho/Comment: The project page is available at https://taeksuu.github.io/ncho