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アナログ RoF-MIMO デンソウ ニ オケル ヒセンケイ ユガミ ヨクアツ オヨビ デンソウロトウカ ノ チュウオウ シュウヤクカ
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No full textvideo/mp4講演日:2024年1月18日オンライン開催、JoVEウェビナーvide
Minimizing the Burden of Named Entity Annotation for Clinical Applications
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High Performance Schottky Contact-Controlled Transistors for New TFT Application
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The development of a miniaturized wireless system for implantable CMOS imaging devices
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Psychometric properties of the Japanese version of the standardised assessment of personality abbreviated scale
No full textThis study was undertaken to translate the Standardised Assessment of Personality 2013retest reliability. Although its internal consistency was not high, since the intent of the original SAPAS was to assess the broad character of personality disorder with the fewest possible items, minimal correlations between items were reasonable. We tested two factorial models, the single-factor model and the higher-order-single-factor model, and the latter offered better fitting. This higher-order model contained a three-factor structure corresponding to clusters described in DSM-5. It measures general PD traits as a common higher-order latent variable comprising those factors. Correlations of SAPAS-J with the much longer PD screening questionnaire in Study 1 and depressive and anxiety symptoms in Study 2 from the general population support its validity. Although validation for the clinical use of SAPAS-J is limited, our research with non-clinical populations demonstrated sufficient validity to justify its use in the context of psychopathological analog research. Since PD is understood as a continuum, the severity of which is distributed dimensionally, the analog study recruiting from the general population and attempting to reveal psychopathological mechanisms of PD is meaningful.journal articl
Test Case Generation for Python Libraries Using Dependent Projects' Test-Suites
No full textSoftware developers often leverage open-source libraries to efficiently develop their own software. The reliance on popular libraries makes libraries' quality increasingly important. Although most modern libraries have their own tests to maintain quality, these tests are not perfect, and writing effective tests can be challenging and time-consuming. Automatic test generation techniques have been studied to help generate effective tests with less effort, however, automatic test generation for dynamically typed languages, such as Python, is challenging due to the absence of type information. This paper proposes a test case generation method for Python libraries. By instrumenting both the target library and a project that is dependent on the library, we collect execution traces including what data is passed to the library, and what data is returned from the library during the test execution of the dependent project. These traces are then used to reconstruct how the library is used in practice, enabling the generation of test cases that closely reflect real-world usage of the library. We evaluate the proposed method on three open-source Python libraries, each with three dependent projects by measuring line coverage of the generated test cases along with the original test cases in the library. The proposed method achieved test coverage improvements for all target libraries. The evaluation result suggests that the proposed method can generate effective test cases for Python libraries.conference pape