24 research outputs found

    The True Meaning of Sakyamuni's Preaching on `No Definite Answer'

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    In “Five Divisions"(Pañca-nikāya) of Pali sutras, considered the collected discourses of Sakyamuni and his disciples, there is preaching on “no definite answer". This belongs to the “Kindred Sayings about No Definite Answer" (Avyākata-saṃyutta) in “The Division of Kindred Sayings"(Saṃyutta-nikāya). “No definite answer"(avyākata)means that the questions were not answered definitely by Sakyamuni, such as whether the world is eternal, whether the world is not eternal, whether the world is finite, whether the world is infinite, whether soul and body are identical, whether soul and body are different, whether the Tathāgata exists after death, whether the Tathāgata does not exist after death, whether the Tathāgata both exists and not exists after death, whether the Tathāgata neither exists nor not-exists after death, whether there is a self, whether there is not a self, and so on. Sakyamuni's preaching consists of no definite answer and the reasons for it. But what is the true meaning of it? According to established theory in the Buddhist studies, it points that people should not be preoccupied with transcendental-metaphysical problems difficult to solve and should instead be entirely concerned only with laws of the phenomenal world and man's actual life. However, what is described as a reason for no definite answer in this preaching is that all things, including “world", “soul", “body", “Tathāgata" and “self" are in reality "the Holy Truth" (ariyasacca) or "Nirvana" (nibbāna) that exceeds the phenomenon immanently. Therefore, it cannot be said, as if they were phenomenon, to be eternal, or not to be eternal, or to be finite, or to be infinite, or to be identical, or to be different, or to exist after death, or not to exist after death, or both to exist and not to exist after death, or neither to exist nor not to exist after death, or to be there, or not to be there, and so on. Thus, in conclusion it can be said that what is meant by Sakyamuni's preaching on no definite answer, together with all other preaching, is that all things are the transcendent Truth.departmental bulletin pape

    Polysulfonylated cyclodextrins. Part II.1 Preparation and structural validation of three isomeric pentakis(6-0-mesitylsulfonyl)cyclomaltoheptaoses

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    Three isomers of cyclomaltoheptaose derivatives, la-c, which possess five mesitylenesulfonyloxy groups on their C-6 atoms, were prepared. Assignment of the regiosiomers was performed by their conversion into compounds containing five 3,6-anhydroglucose units followed by 'H NMR analyses. The structures of the pentakis(3,6-anhydro) derivatives were also confirmed by their derivation from the known bis(TBDMS) derivatives.application/pdfjournal articl

    Primary hydroxy-modified cyclomaltoheptaose derivatives with two kinds of substituents. Preparation of 6I-(benzyloxycarbonylamino)-, 6I-(tert-butoxycarbonylamino)- and 6I-azido-6I-deoxy-6II,6III,6IV, 6V,6VI,6VII-hexa-O-tosylcyclomaltoheptaose and their conversion to the hexakis-(3,6-anhydro) derivatives

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    Three cyclomaltoheptaoses (1, 2 and 3) which possess a benzyloxycarbonylamino group, a tert-butoxycarbonylamino group or an azido group, and six tosyloxy groups, on their C-6 atoms have been prepared. These can be versatile intermediates for the synthesis of derivatives possessing an amino group as well as other functional groups. As an example of their derivatization, their conversion to compounds containing 3,6-anhydroglucoses, which possess cation-binding abilities, is also reported.application/pdfjournal articl

    <原著>手術用手袋に滑沢剤として使用された粉末の各種洗浄法における洗浄効果に関する走査型電子顕微鏡による観察

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    手術用手袋の滑沢剤としての粉末が原因で,手術後の炎症の遷延化や肉芽形成などの重篤な合併症を起こすことが報告されている。今回,市販されている8種類の手術用手袋に対して,無処置のもの,流水および溜水中で洗浄したもの,超音波洗浄器で洗浄したものについて,粉末の付着状態を走査型電子顕微鏡で観察した。その結果,手術用手袋の滑沢剤の粒子はいかなる洗浄法によっても残留する可能性があることが示唆され,手術時には powder freeの手袋が用いられるべきであると考えられたjournal articl

    Improved measurement of CP-violation parameters sin⁡2ϕ1 and |λ|, B meson lifetimes, and B0-B̅0 mixing parameter Δmd

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    Performance Analysis of QAM System Under Class A Impulsive Noise Environment

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    This paper describes the performance of QAM (Quadrature Amplitude Modulation) systems under impulsive noise environment. In the analysis, we employ, as a model of the impulsive noise, Middleton's model labeled class A. First, the statistical characteristics of the in-phase and quadrature components of the impulsive noise are investigated, and it is proved that, in contrast to Gaussian noise, these components are dependent especially for the impulsive noise with small impulsive indices. Next, with consideration of the dependence between the in-phase and quadrature components of the noise, the performance of QAM system with the conventional receiver designed for Gaussian noise is analyzed. The numerical results show that the performance is much worse than that achieved under Gaussian noise. Moreover, we show the design of the maximum likelihood receiver for class A impulsive noise and the great performance improvement by this receiver is confirmed.journal articl

    DataSheet3_Whole patient knowledge modeling of COVID-19 symptomatology reveals common molecular mechanisms.CSV

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    Infection with SARS-CoV-2 coronavirus causes systemic, multi-faceted COVID-19 disease. However, knowledge connecting its intricate clinical manifestations with molecular mechanisms remains fragmented. Deciphering the molecular basis of COVID-19 at the whole-patient level is paramount to the development of effective therapeutic approaches. With this goal in mind, we followed an iterative, expert-driven process to compile data published prior to and during the early stages of the pandemic into a comprehensive COVID-19 knowledge model. Recent updates to this model have also validated multiple earlier predictions, suggesting the importance of such knowledge frameworks in hypothesis generation and testing. Overall, our findings suggest that SARS-CoV-2 perturbs several specific mechanisms, unleashing a pathogenesis spectrum, ranging from “a perfect storm” triggered by acute hyper-inflammation, to accelerated aging in protracted “long COVID-19” syndromes. In this work, we shortly report on these findings that we share with the community via 1) a synopsis of key evidence associating COVID-19 symptoms and plausible mechanisms, with details presented within 2) the accompanying “COVID-19 Explorer” webserver, developed specifically for this purpose (found at https://covid19.molecularhealth.com). We anticipate that our model will continue to facilitate clinico-molecular insights across organ systems together with hypothesis generation for the testing of potential repurposing drug candidates, new pharmacological targets and clinically relevant biomarkers. Our work suggests that whole patient knowledge models of human disease can potentially expedite the development of new therapeutic strategies and support evidence-driven clinical hypothesis generation and decision making.</p

    DataSheet2_Whole patient knowledge modeling of COVID-19 symptomatology reveals common molecular mechanisms.ZIP

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    Infection with SARS-CoV-2 coronavirus causes systemic, multi-faceted COVID-19 disease. However, knowledge connecting its intricate clinical manifestations with molecular mechanisms remains fragmented. Deciphering the molecular basis of COVID-19 at the whole-patient level is paramount to the development of effective therapeutic approaches. With this goal in mind, we followed an iterative, expert-driven process to compile data published prior to and during the early stages of the pandemic into a comprehensive COVID-19 knowledge model. Recent updates to this model have also validated multiple earlier predictions, suggesting the importance of such knowledge frameworks in hypothesis generation and testing. Overall, our findings suggest that SARS-CoV-2 perturbs several specific mechanisms, unleashing a pathogenesis spectrum, ranging from “a perfect storm” triggered by acute hyper-inflammation, to accelerated aging in protracted “long COVID-19” syndromes. In this work, we shortly report on these findings that we share with the community via 1) a synopsis of key evidence associating COVID-19 symptoms and plausible mechanisms, with details presented within 2) the accompanying “COVID-19 Explorer” webserver, developed specifically for this purpose (found at https://covid19.molecularhealth.com). We anticipate that our model will continue to facilitate clinico-molecular insights across organ systems together with hypothesis generation for the testing of potential repurposing drug candidates, new pharmacological targets and clinically relevant biomarkers. Our work suggests that whole patient knowledge models of human disease can potentially expedite the development of new therapeutic strategies and support evidence-driven clinical hypothesis generation and decision making.</p

    DataSheet4_Whole patient knowledge modeling of COVID-19 symptomatology reveals common molecular mechanisms.DOCX

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    Infection with SARS-CoV-2 coronavirus causes systemic, multi-faceted COVID-19 disease. However, knowledge connecting its intricate clinical manifestations with molecular mechanisms remains fragmented. Deciphering the molecular basis of COVID-19 at the whole-patient level is paramount to the development of effective therapeutic approaches. With this goal in mind, we followed an iterative, expert-driven process to compile data published prior to and during the early stages of the pandemic into a comprehensive COVID-19 knowledge model. Recent updates to this model have also validated multiple earlier predictions, suggesting the importance of such knowledge frameworks in hypothesis generation and testing. Overall, our findings suggest that SARS-CoV-2 perturbs several specific mechanisms, unleashing a pathogenesis spectrum, ranging from “a perfect storm” triggered by acute hyper-inflammation, to accelerated aging in protracted “long COVID-19” syndromes. In this work, we shortly report on these findings that we share with the community via 1) a synopsis of key evidence associating COVID-19 symptoms and plausible mechanisms, with details presented within 2) the accompanying “COVID-19 Explorer” webserver, developed specifically for this purpose (found at https://covid19.molecularhealth.com). We anticipate that our model will continue to facilitate clinico-molecular insights across organ systems together with hypothesis generation for the testing of potential repurposing drug candidates, new pharmacological targets and clinically relevant biomarkers. Our work suggests that whole patient knowledge models of human disease can potentially expedite the development of new therapeutic strategies and support evidence-driven clinical hypothesis generation and decision making.</p
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