scPML: pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data.

Recent developments in single-cell technology have enabled the exploration of cellular heterogeneity at an unprecedented level, providing invaluable insights into various fields, including medicine and disease research. Cell type annotation is an essential step in its omics research. The mainstream approach is to utilize well-annotated single-cell data to supervised learning for cell type annotation of new singlecell data. However, existing methods lack good generalization and robustness in cell annotation tasks, partially due to difficulties in dealing with technical differences between datasets, as well as not considering the heterogeneous associations of genes in regulatory mechanism levels. Here, we propose the scPML model, which utilizes various gene signaling pathway data to partition the genetic features of cells, thus characterizing different interaction maps between cells. Extensive experiments demonstrate that scPML performs better in cell type annotation and detection of unknown cell types from different species, platforms, and tissues.

A novel bifunctional-group salamo-like multi-purpose dye probe based on ESIPT and RAHB effect: Distinction of cyanide and hydrazine through optical signal differential protocol.

A novel bifunctional-group multi-purpose dye probe p-TNS has been designed and synthesized. The probe p-TNS has unique excited-state intramolecular proton transfer (ESIPT) and resonance-assisted hydrogen bonding (RAHB) coupled system, was confirmed to detect cyanide and hydrazine by blocking the ESIPT effect. Cyanide can change the fluorescence of the solution from bright green to orange-red (116 nm Stokes shift), while hydrazine causes the bright green fluorescence to be quenched. The recognition mechanism of the probe p-TNS to CN- and N2H4 was proposed reasonably through spectral characterizations and theoretical calculations. Combined with theoretical calculations, it was speculated that the solvent dependence may be caused by the ICT effect in the molecule. The probe p-TNS could be prepared into test strips for the detection of cyanide and hydrazine. In addition, the probe molecule can also be used to detect trace amounts of cyanide in agricultural products, and respond to gaseous hydrazine by direct contact, indicating that the probe p-TNS has good practical application prospects. Therefore, this molecular framework provides a new way of thinking about detecting multiple target substances.

Novel single-armed nitrogen-heterocyclic salamo-based fluorescent sensors for the detection of Al3+ and CN.

Two novel single-armed nitrogen-heterocyclic chemosensors with basically similar structures, PDNS and PZNS, were synthesized to specifically identify Al3+ in DMS:H2O (1:1 v/v) solution by fluorescence emission spectroscopy, and the colour of PDNS and PZNS changed from yellow to colorless when Al3+ was added under daylight. This is the first time that nitrogen-heterocyclic is introduced into salamo-based chemical sensor. At excitation wavelengths of 361 and 365 nm, solutions of PDNS and PZNS changed to intense green-blue fluorescence. Furthermore, it was found that PDNS/PZNS and Al3+ have excellent binding capacity, the lower limit of detection (LOD = 6.25 × 10-9/1.26 × 10-9 mol·dm-3) is also calculated. In addition, sensor PZNS can detect Al3+ in a solution system with up to 95% water content and applicable pH range is 3-12. Compared to other salamo-based sensors, PZNS and PDNS have broader detection conditions and wider utilities. PZNS can also identify CN- in fluorescence spectrum. PZNS can be used for detection of Al3+ in aqueous systems in daily production and life.

A newly synthesized visual bis(salamo)-based fluorescent chemosensor for exogenous detection of B4O72- in living cells and zebrafish.

A newly synthesized fluorescent chemosensor H6L was explored for detecting B4O72-, characterized by 1H NMR spectrum, mass spectrum and fluorescence spectra. During the detection process of B4O72-, the fluorescence is significantly enhanced and naked eye recognition can be performed under 365 nm UV light without any interference by other typical anions. The limit of detection is as low as 6.97 × 10-10 M. In addition, in order to broaden the application of salamo-based fluorescence sensors in the field of biology, except for the fluorescence imaging of HeLa cells, the first attempt of exogenous detection in zebrafish was conducted successfully.

Anti-inflammatory Lathyrane Diterpenoids from Euphorbia lathyris.

Six new lathyrane diterpenoids (1-6) and 10 known analogues (7-16), were separated from the seeds of Euphorbia lathyris. The absolute configuration of 1 was determined by X-ray crystallography, and the C-2' configuration of 5 was elucidated by comparing experimental and calculated ECD data. These compounds were studied for their inhibition against nitric oxide (NO) generation induced by lipopolysaccharide in RAW264.7 macrophage cells. Compounds 1-3, 7, 9, 11, 13, 14, and 16 displayed inhibitory effects on NO production, with IC50 values of 2.6-26.0 µM. The new compound 1 (IC50 3.0 ± 1.1 µM), with no obvious cytotoxicity, was selected for further experiments. The production of cytokines such as IL-6 and IL-1ß, as well as the protein expression of iNOS, NF-κB, and phosphorylated IκBα, was reduced by 1 dose-dependently. These results suggested that lathyrane diterpenoids may be used as potential anti-inflammatory agents and are worth being further researched.

Design of a Continuous Blood Pressure Measurement System Based on Pulse Wave and ECG Signals.

With increasingly fierce competition for jobs, the pressures on people have risen in recent years, leading to lifestyle and diet disorders that result in significantly higher risks of cardiovascular disease. Hypertension is one of the common chronic cardiovascular diseases; however, mainstream blood pressure measurement devices are relatively heavy. When multiple measurements are required, the user experience and the measurement results may be unsatisfactory. In this paper, we describe the design of a signal collection module that collects pulse waves and electrocardiograph (ECG) signals. The collected signals are input into a signal processing module to filter the noise and amplify the useful physiological signals. Then, we use a wavelet transform to eliminate baseline drift noise and detect the feature points of the pulse waves and ECG signals. We propose the concept of detecting the wave shape associated with an instance, an approach that minimizes the impact of atypical pulse waves on blood pressure measurements. Finally, we propose an improved method for measuring blood pressure based on pulse wave velocity that improves the accuracy of blood pressure measurements by 58%. Moreover, the results meet the american medical instrument promotion association standards, which demonstrate the feasibility of our measurement system.