Multi-Quantifying Maxillofacial Traits via a Demographic Parity-Based AI Model.

The multi-quantification of the distinct individualized maxillofacial traits, that is, quantifying multiple indices, is vital for diagnosis, decision-making, and prognosis of the maxillofacial surgery. While the discrete and demographically disproportionate distributions of the multiple indices restrict the generalization ability of artificial intelligence (AI)-based automatic analysis, this study presents a demographic-parity strategy for AI-based multi-quantification. In the aesthetic-concerning maxillary alveolar basal bone, which requires quantifying a total of 9 indices from length and width dimensional, this study collected a total of 4,000 cone-beam computed tomography (CBCT) sagittal images, and developed a deep learning model composed of a backbone and multiple regression heads with fully shared parameters to intelligently predict these quantitative metrics.

One-step functionalization of chitosan with rich sulfur and nitrogen adsorption sites for efficient recovery of silver ions from actual wastewater.

The recovery of silver ions from wastewater is of great importance due to their adverse environmental impact and significant economic value. This paper introduces a novel adsorbent (CS-AHMT) that can be easily synthesized via a one-step functionalization of chitosan with 4-Amino-3-hydrazino-1,2,4-triazol-5-thiol to efficiently recover silver ions from actual wastewater. CS-AHMT demonstrated superior adsorption performance, achieving an adsorption capacity of 241.

The design of high-efficient MOFs for selective Ag(I) capture: DFT calculations and practical applications.

Recovering silver from wastewater not only significantly reduces environmental harm but also meets the growing demand for silver in modern industry. Here, a novel metal-organic framework adsorbent (MOF-RD) using rhodanine derivatives as linkers is introduced for the efficient and selective capture of silver ions in real wastewater. The adsorption of MOF-RD followed pseudo-second-order and Sips models, and thermodynamic investigations revealed the process to be endothermic.

Synthesis of metal-organic frameworks with multiple nitrogen groups for selective capturing Ag(I) from wastewater.

As a noble metal with extremely high economic benefits, the recovery of silver ions has attracted a particular deal of attention. However, it is a challenge to recover silver ions efficiently and selectively from aqueous solutions. In this research, the novel metal-organic frameworks (MOFs) adsorbent (Zr-DPHT) is prepared for the highly efficient and selective recovery of silver ions from wastewater.

Effects of traditional Chinese medicine on treatment outcomes in severe COVID-19 patients: a single-centre study.

As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb.

Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

Background: Immediate implant placement in the esthetic area requires comprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-driven measurements of quantitative indexes depend on segmentation or landmark detection, which require extra labeling of images and contain possible intraclass errors.

Methods: For the initial attempt, the method was tested on sagittal root inclination measurement.

New HIV diagnoses in patients with COVID-19: two case reports and a brief literature review.

Background: COVID-19 is novel infectious disease with an evolving understanding of its epidemiology and clinical manifestations. Severe cases developed life-threatening complications, such as respiratory failure, shock, and multiple organs dysfunction. Immunocompromised patients often present atypical presentations of viral infected diseases.

The metabolic effect of gut microbiota on drugs.

There are more than 1000 species of microbes reside in the human gut, umbering∼10 microbes. As the invisible organ of human beings, gut microbiota can usually participate in drug metabolism by producing specific enzymes, such as reductase and hydrolytic enzyme, thus affecting the efficacy, toxicity, and bioavailability of drugs. At least 30 commercially available drugs have been shown to be substrates of gut microbes-derived enzymes, and an increasing number of drugs may have the potential to contact with the distal gut with the help of improved release systems or poor solubility/permeability, more drugs are expected to be found to be metabolized through the gut flora.

[Effects of acute hypoxia on expression of pregnane X receptor in liver tissues of rats exposed to high altitude].

Objective: To investigate the effects of high-altitude hypoxic environment on the expression of pregnane X receptor (PXR) in rat liver and related mechanism.

Methods: Wistar rats were randomly divided into five groups with 8 rats in each group, the rats were exposed to high-plateau hypoxia for 0 (control group), 12, 24, 36 and 48 h, respectively. Abdominal aortic blood samples were collected for blood gas analysis.

[Comparison of conductivity-water content curve and visual methods for ascertaintation of the critical water content of O/W microemulsions formation].

This study is to screen 23 blank O/W type microemulsion (ME) samples, that is 15 samples from our laboratory, and 8 samples from literature; compare the conductivity-water content curve (CWCC) method and visual method in determining the critical water content during O/W type MEs' formation, to analyze the deficiency and the feasibility of visual method and to exploxe scientific meanings of CWCC method in judging the critical water content of O/W type MEs during formation. The results show that there is a significant difference between the theoretical feasible CWCC method and visual method in determining the critical water content (P<0.001), and the results judged by conductivity is higher than that by eye-based water content.