1. Why Cultural Integration Matters? | by Yuichi Murata - Medium
Aug 18, 2024 · Cultural Integration is about blending cultures, not replacing them. Simply forcing different cultures together in a haphazard manner is not the solution.
Recently, I gave a presentation on building a world-class IT organization through in-house development and globalization. The response was…
2. Fundamental Difference of Cloud Native Databases | by Yuichi Murata
Jan 17, 2020 · This article describes the fundamental differences of the two big cloud native databases the below: AWS Aurora; Google Spanner.
Two Big Cloud Native Databases
3. Murata yuichiPatents | PatentGuru
Abstract: A control to enable a further degree of enhancement in combustion efficiency in an automobile by effectively performing temperature control of cooling ...
Application
4. Pathologic Image Classification of Flat Urothelial Lesions Using ...
Oct 5, 2022 · We used deep learning to establish an automated subtype classifier for flat urothelial lesions that successfully combines traditional morphologic approaches ...
5. [PDF] NTT Technical Review, February 2006, Vol. 4, No. 2
E-mail: murata.yuichi@lab.ntt.co.jp. *1 Multi-party protocol: A protocol that enables “operation of encrypted data” and “execution of encrypted operation ...
6. Pooled CRISPR screening of high-content cellular phenotypes by ...
Jan 27, 2023 · Machine learning models trained in GC can flexibly target a variety of high-content cell phenotypes, depending on the characteristics of the ...
Fast enrichment of cells based on morphological information remains a challenge, limiting genome-wide perturbation screening for diverse high-content phenotypes of cells. Here we show that multi-modal ghost cytometry-based cell sorting is applicable to fast pooled CRISPR screening for both fluorescence and label-free high-content phenotypes of millions of cells. By employing the high-content cell sorter in the fluorescence mode, we enabled the genome-wide CRISPR screening of genes that affect NF-κB nuclear translocation. Furthermore, by employing the multi-parametric, label-free mode, we performed the large-scale screening to identify a gene involved in macrophage polarization. Especially the label-free platform can enrich target phenotypes without invasive staining, preserving untouched cells for downstream assays and unlocking the potential to screen for the cellular phenotypes even when suitable markers are lacking. One-Sentence Summary Machine vision-based cell sorter enabled genome-wide perturbation screens for high-content cell phenotypes even without labeling ### Competing Interest Statement S.O. is the founder and shareholder of ThinkCyte Inc., a company engaged in the development of ghost cytometry (GC)-based cell sorting. A.T., Y.A., Y.K., Y.M., Y.Y., and T.K. have shares of stock options of ThinkCyte Inc. S.O., A.T., Y.A., Y.K., Y.M., Y.Y., and T.K. have filed patent applications related to this paper.
7. Yūichi MURATA (producer) - Anime News Network
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8. 48 Murata Cheerleaders Stock Photos and High-res Pictures - Getty Images
Murata Manufacturing Co. Unveils 4th Generation Robot · Yuichi ...
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9. Murata yuichi专利- 专利顾如 - Patent Guru
Parameters from a variety of sensors that detect the state of an automobile engine are input into an engine control unit. Then, when the engine control unit ...
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10. Details of a Researcher - MURATA Shingo
We can efficiently express a wide variety of real-world situations ... Hayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, Tetsuya Ogata.
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions
11. [PDF] A Neurodynamic Account of Spontaneous Behaviour ...
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment · Shingo MurataYuichi YamashitaH.
12. Pathophysiological roles of adrenomedullin-2 in mouse model ...
Purpose : Adrenomedullin-2 (AM2) (or intermedin), a member of the calcitonin gene-related peptide family, is a peptide which possesses a variety of ...
13. Yoshikuni Murata - Entertainment Executive - Variety
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14. Malicious URL sequence detection using event de-noising ...
Murata; Published in IEEE International Conference… 1 May 2017; Computer ... variety of malicious web sites and can investigate malicious web Sites ...
The EDCNN is a new CNN to reduce the negative effect of benign URLs redirected from compromised websites included in malicious URL sequences and lowers the operation cost of malware infection by reducing 47% of false alerts compared with a CNN when users access compromised websites but do not obtain exploit code due to browser fingerprinting. Attackers have increased the number of infected hosts by redirecting users of compromised popular websites toward websites that exploit vulnerabilities of a browser and its plugins. To prevent damage, detecting infected hosts based on proxy logs, which are generally recorded on enterprise networks, is gaining attention rather than blacklist-based filtering because creating blacklists has become difficult due to the short lifetime of malicious domains and concealment of exploit code. Since information extracted from one URL is limited, we focus on a sequence of URLs that includes artifacts of malicious redirections. We propose a system for detecting malicious URL sequences from proxy logs with a low false positive rate. To elucidate an effective approach of malicious URL sequence detection, we compared three approaches: individual-based approach, convolutional neural network (CNN), and our newly developed event de-noising CNN (EDCNN). Our EDCNN is a new CNN to reduce the negative effect of benign URLs redirected from compromised websites included in malicious URL sequences. Our evaluation shows that the EDCNN lowers the operation cost of...
15. Details of a Researcher - MURATA Shingo - Keio University
MURATA Shingo. close. Papers - MURATA Shingo ... Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata ... We can efficiently express a wide variety of real ...
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges