Three-dimensional a-Si/a-Ge radial heterojunction near-infrared photovoltaic detector

Extended infrared responses in Er/O-hyperdoped Si at room temperature

Silicon photonics has become the preferred candidate for technologies applicable to multifarious fields. However, the applications are strictly limited by the intrinsic in-band photo effect of silicon. Herein, near-infrared photodetectors that break through the silicon bandgap by Er/O hyperdoping are fabricated, potentially extending their applications into telecommunications, low-light-level night vision, medical treatment, and others. Er/O-hyperdoped silicon was achieved as an infrared light absorption layer through ion implantation. The lattice damage caused by ion implantation was repaired by a deep cooling process in which high-temperature samples were cooled by helium flushing cooled by liquid nitrogen. Traditional junction and metallization processes were performed to form a photodiode. We demonstrate that the device has a spectral range up to the wavelength of 1568 nm, a maximum responsivity of 165 µA/W at 1310 nm, and 3 dB cutoff bandwidth up to 3 kHz. Finally, temperature-dependent optical-electrical characteristics were measured to demonstrate the activation mechanism of Er/O in silicon. This Letter proves silicon's potential in realizing extended infrared detection at room temperature, and it provides a possible way to fabricate infrared optoelectronics and signal processing integrated chips on a CMOS (complementary metal-oxide-semiconductor) platform.

Distinct Types of Gut Microbiota Dysbiosis in Hospitalized Gastroenterological Patients Are Disease Non-related and Characterized With the Predominance of Either Enterobacteriaceae or Enterococcus

Typical disease-associated microbiota changes are widely studied as potential diagnostic or therapeutic targets. Our aim was to analyze a hospitalized cohort including various gastroenterological pathologies in order to fine-map the gut microbiota dysbiosis. Bacterial (V3 V4) and fungal (ITS2) communities were determined in 121 hospitalized gastrointestinal patients from a single ward and compared to 162 healthy controls. Random Forest models implemented in this study indicated that the gut community structure is in most cases not sufficient to differentiate the subjects based on their underlying disease. Instead, hospitalized patients in our study formed three distinct disease non-related clusters (C1, C2, and C3), partially explained by antibiotic use. Majority of the subjects (cluster C1) closely resembled healthy controls, showing only mild signs of community disruption; most significantly decreased in this cluster were Faecalibacterium and Roseburia. The remaining two clusters (C2 and C3) were characterized by severe signs of dysbiosis; cluster C2 was associated with an increase in Enterobacteriaceae and cluster C3 by an increase in Enterococcus. According to the cluster affiliation, subjects also showed different degrees of inflammation, most prominent was the positive correlation between levels of C-reactive protein and the abundance of Enterococcus.