Evaluation and control of mechanical degradation of austenitic stainless 310S steel substrate during coated superconductor processing

The superconductor industry considers cold-rolled austenitic stainless 310S steel a less expensive substitute for Hastelloy X as a substrate for coated superconductor. However, the mechanical properties of cold-rolled 310S substrate degrade significantly in the superconductor deposition process. To overcome this, we applied hot rolling at 900 A degrees C (or 1000 A degrees C) to the 310S substrate. To check the property changes, a simulated annealing condition equivalent to that used in manufacturing was determined and applied. The effects of the hot rolling on the substrate were evaluated by analyzing its physical properties and texture.Web of Science24345444

Quantum operations with the time axis in a superposed direction

In the quantum theory, it has been shown that one can see if a process has the time reversal symmetry by applying the matrix transposition and examining if it remains physical. However, recent discoveries regarding the indefinite causal order of quantum processes suggest that there may be other, more general symmetry transformations of time besides the complete reversal. In this work, we introduce an expanded concept of matrix transposition, the generalized transposition, that takes into account general bipartite unitary transformations of a quantum operation's future and past Hilbert spaces, allowing for making the time axis definitely lie in a superposed direction, which generalizes the previously studied `indefinite direction of time', i.e., superposition of the forward and the backward time evolution. This framework may have applications in approaches that treat time and space equally like quantum gravity, where the spatio-temporal structure is explained to emerge from quantum mechanics. We apply this generalized transposition to investigate a continuous generalization of perfect tensors, a dynamic version of tracing out a subsystem, and the compatibility of multiple time axes in bipartite quantum interactions. Notably, we demonstrate that when a bipartite interaction is consistent with more distinct local temporal axes, there is a reduced allowance for information exchange between the two parties in order to prevent causality violations.Comment: 23 pages, 3 figures, typos corrected. An error was found in the proof of Theorem 5 in the prvious version, thus it is replaced with Conjecture

Strategies for Twenty First Century Healthy Church Growth: With Special Reference to the Jang Choong Presbyterian Church in South Korea

The purpose of this study is to find strategies of healthy church growth and apply them to local churches in the United State and South Korea. The model of church used was Jang Choong Presbyterian church (JCPC). This paper utilized surveys; this project also analyzed the current conditions of JCPC, exploring growth factors such as: Worship, Fellowship, Training, Ministry, and Evangelism. The factors of healthy church was investigated and delineated based on literature reviews, on the personal studies and questionnaire surveys submitted to members of JCPC. This project suggested eight principles to build healthy churches including JCPC and local churches in Korea for the decade years. Finally, this paper recommends missions for the healthy church by using acrostic C.H.U.R.C.H

Minimax particle filtering for tracking a highly maneuvering target

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152473/1/rnc4785_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152473/2/rnc4785.pd

Development of an extension of GeoServer for handling 3D spatial data

Recently, several open source software tools such as CesiumJS and iTowns have been developed for dealing with 3-dimensional spatial data. These tools mainly focus on visualization of 3D spatial data based on WebGL. An open-sourced server capable of storing, sharing and querying 3D spatial data has not yet been developed. GeoServer, one of the representative open source spatial data servers, provides many powerful features. In particular, it supports connecting to and publishing spatial data from a variety of data sources. GeoServer also supports Web Feature Service (WFS), which is a standard protocol established by the Open Geospatial Consortium to request geospatial feature data. However, GeoServer provides functions only for two-dimensional geometry, so it provides few functions for handling 3D spatial data. Because JTS Topology Suite, which is an important component of GeoServer, does not support 3D spatial operations, it also does not support solid geometries. In this paper, we discuss extension modules of GeoServer that we have implemented to handle 3D spatial data. First, instead of JTS, our modules adopted a geometry model based on the ISO 19107 standard and support 3D spatial operations from the Simple Feature CGAL library. Based on this geometry model, we have implemented new internal data structures that represent spatial information from the Feature interface in GeoServer. Second, we also extended the DataStore module to handle and store 3D spatial information for several data sources such as GeoJSON, GML and PostGIS. Finally, we extended the WFS module to share 3D spatial data via GeoServer

MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization

Mixed-precision quantization of efficient networks often suffer from activation instability encountered in the exploration of bit selections. To address this problem, we propose a novel method called MetaMix which consists of bit selection and weight training phases. The bit selection phase iterates two steps, (1) the mixed-precision-aware weight update, and (2) the bit-search training with the fixed mixed-precision-aware weights, both of which combined reduce activation instability in mixed-precision quantization and contribute to fast and high-quality bit selection. The weight training phase exploits the weights and step sizes trained in the bit selection phase and fine-tunes them thereby offering fast training. Our experiments with efficient and hard-to-quantize networks, i.e., MobileNet v2 and v3, and ResNet-18 on ImageNet show that our proposed method pushes the boundary of mixed-precision quantization, in terms of accuracy vs. operations, by outperforming both mixed- and single-precision SOTA methods

Death Spiral Issues in Emerging Market: A Control Related Perspective

This paper studies the motive of issuing floating-priced convertibles or warrants, known as death spirals, in a country where the private benefit of control is high. Using a total of 199 death spiral issuances by public firms listed in the Korea Stock Exchange during 1998-2006, we find a number of pieces of empirical evidence that are less consistent with the conventional last resort financing hypothesis, but rather consistent with the control enhancing or control transferring hypothesis. First, abnormal returns subsequent to death spiral issuance is negative, but more so in poorly governed firms. Second, operating performance of chaebol issuers are not necessarily low at the time of the issue nor does it deteriorate over time, but they still prefer to issue death spirals over traditional fixed-priced hybrid securities. Third, we do not observe subsequent changes in the controlling shareholder in more than 60% of the issuers and these firms exhibit superior operating performance at the time of the issue compared to other death spiral or non-death spiral issuers. Fourth, this same set of firms do not experience a decrease in proportional ownership by the controlling party, while family members other than the controlling shareholder experience the most pronounced increases in the number of shares held. Finally, in approximately half of these firms, at least one member of the controlling party holds hybrid securities that can later be converted into voting shares

Death Spiral Issues in Emerging Market: A Control Related Perspective

This paper studies the motive of issuing floating-priced convertibles or warrants, known as death spirals, in a country where the private benefit of control is high. Using a total of 199 death spiral issuances by public firms listed in the Korea Stock Exchange during 1998-2006, we find a number of pieces of empirical evidence that are less consistent with the conventional last resort financing hypothesis, but rather consistent with the control enhancing or control transferring hypothesis. First, abnormal returns subsequent to death spiral issuance is negative, but more so in poorly governed firms. Second, operating performance of chaebol issuers are not necessarily low at the time of the issue nor does it deteriorate over time, but they still prefer to issue death spirals over traditional fixed-priced hybrid securities. Third, we do not observe subsequent changes in the controlling shareholder in more than 60% of the issuers and these firms exhibit superior operating performance at the time of the issue compared to other death spiral or non-death spiral issuers. Fourth, this same set of firms do not experience a decrease in proportional ownership by the controlling party, while family members other than the controlling shareholder experience the most pronounced increases in the number of shares held. Finally, in approximately half of these firms, at least one member of the controlling party holds hybrid securities that can later be converted into voting shares

Customizing Segmentation Foundation Model via Prompt Learning for Instance Segmentation

Recently, foundation models trained on massive datasets to adapt to a wide range of domains have attracted considerable attention and are actively being explored within the computer vision community. Among these, the Segment Anything Model (SAM) stands out for its remarkable progress in generalizability and flexibility for image segmentation tasks, achieved through prompt-based object mask generation. However, despite its strength, SAM faces two key limitations when applied to customized instance segmentation that segments specific objects or those in unique environments not typically present in the training data: 1) the ambiguity inherent in input prompts and 2) the necessity for extensive additional training to achieve optimal segmentation. To address these challenges, we propose a novel method, customized instance segmentation via prompt learning tailored to SAM. Our method involves a prompt learning module (PLM), which adjusts input prompts into the embedding space to better align with user intentions, thereby enabling more efficient training. Furthermore, we introduce a point matching module (PMM) to enhance the feature representation for finer segmentation by ensuring detailed alignment with ground truth boundaries. Experimental results on various customized instance segmentation scenarios demonstrate the effectiveness of the proposed method.Comment: 11 pages, 10 figure