CONTEMPORARY ENGLISH PAIN DESCRIPTORS AS DETECTED ON SOCIAL MEDIA USING ARTIFICIAL INTELLIGENCE AND EMOTION ANALYTICS ALGORITHMS: CROSS-SECTIONAL STUDY

Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

BackgroundPain description is fundamental to health care.The McGill Pain Questionnaire (MPQ) has been validated as a tool for the multidimensional measurement of pain; however, its use relies heavily on language proficiency.Although the MPQ has remained unchanged since its inception, the English language has evolved significantly since then.The adv

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On the determination of the atmospheric outer scale length of turbulence using GPS phase difference observations: the Seewinkel network

Abstract Microwave electromagnetic signals from the Global Navigation Satellite System (GNSS) are affected by their travel through the atmosphere: the troposphere, a non-dispersive medium, has an especial impact on the measurements.The long-term variations of the tropospheric refractive index delay the signals, whereas its random variations correla

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PCR-based identification of toxinogenic Fusarium species

Aim of this study was to develop sensitive PCR assay for mycotoxin producing Fusarium species.Strains Fusarium oxysporum 4199 and Fusarium culmorum 4044 were used as representatives of this group.Primers JB chosen to demonstrate the affiliation to genus Fusarium were derived from ITS region of rDNA.Gene from trichothecene pathway Tri4 was employed

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