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Background: According to Rome IV, reflux hypersensitivity (RH) represents a novel form of functional esophageal disorder. This study was designed to compare the clinical features of three types of endoscopic-negative heartburn: RH, nonerosive reflux disease (NERD), and functional heartburn (FH).

Methods: Patients with heartburn in a medical center from 01/01/2017 to 10/31/2021 were included.

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In this study, we explored the biocultural mechanisms underlying ancient craft behaviours. Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. The advent of ceramic marked a profound change in the economy and socio-cultural dynamics of past societies.

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Chemiluminescent Probe for Enhanced Visualization of Renal Ischemia-Reperfusion Injury via Pyroglutamate Aminopeptidase-1 Activation.

Anal Chem

January 2025

Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China.

The absence of an effective imaging tool for diagnosing renal ischemia-reperfusion injury (RIRI) severely delays its treatment, and currently, no definitive clinical interventions are available. Pyroglutamate aminopeptidase-1 (PGP-1), a potential inflammatory cytokine, has shown considerable potential as a biomarker for tracing the inflammatory process in vivo. However, its exact role in the enhanced visualization of RIRI in complex biological systems has yet to be fully established.

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Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions.

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Centrifugal compressors are widely used in the oil and natural gas industry for gas compression, reinjection, and transportation. Fault diagnosis and identification of centrifugal compressors are crucial. To promptly monitor abnormal changes in compressor data and trace the causes leading to these data anomalies, this paper proposes a security monitoring and root cause tracing method for compressor data anomalies.

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