Molecular analysis of and in adult soft ticks (Acari: Ixodida: Argasidae) isolated from the Xinjiang Uygur Autonomous Region, China.

Introduction: Ticks are obligate blood-feeding arthropods that cause significant economic losses in domestic animal husbandry and threaten public health. However, information about soft ticks (Acari: Argasidae) and tick-borne pathogens in the Xinjiang Uygur Autonomous Region (XUAR) of China is scarce.

Material And Methods: In this study, PCR assays and gene sequencing were used to detect and analyse the epidemiological features of , and parasitic infections in 366 soft ticks collected from five sampling sites in the XUAR from October 2019 to March 2022.

Non-heme Iron Single-Atom Nanozymes as Peroxidase Mimics for Tumor Catalytic Therapy.

Single-atom nanozymes (SAzymes) open new possibilities for the development of artificial enzymes that have catalytic activity comparable to that of natural peroxidase (POD). So far, most efforts have focused on the structural modulation of the Fe-N moiety to mimic the metalloprotein heme center. However, non-heme-iron POD with much higher activity, for example, HppE, has not been mimicked successfully due to its structural complexity.

Specific discrimination of zinc and manganese ions by label free dual emissive carbon dots by ratio-metric mode.

Due to the worldwide ecological and environmental issues induced by heavy metal pollution, including zinc and manganese, the ratio-metric discrimination of Zn and Mn based on CDs is urgently required. In this work, reduced CDs (re-CDs) with the intrinsic dual emissive peaks are obtained, and specific discrimination of Zn and Mn is realized by re-CDs with ratio-metric mode. With the addition of Zn, the fluorescent (FL) intensity at 650 nm increases obviously, while that at 680 nm progressively decreases.

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Recent years have witnessed the proliferation of techniques for streaming data mining to meet the demands of many real-time systems, where high-dimensional streaming data are generated at high speed, increasing the burden on both hardware and software. Some feature selection algorithms for streaming data are proposed to tackle this issue. However, these algorithms do not consider the distribution shift due to nonstationary scenarios, leading to performance degradation when the underlying distribution changes in the data stream.

Polydopamine nanoparticles coated with a metal-polyphenol network for enhanced photothermal/chemodynamic cancer combination therapy.

Polydopamine nanoparticles (PDA NPs) are commonly used for photothermal therapy (PTT) of cancer because of their good biocompatibility and photothermal conversion capability. However, it is difficult to achieve a good tumor inhibition effect with a single PTT of PDA. Therefore, in this work, we prepared a combined anticancer nanosystem for enhanced chemodynamic therapy (CDT)/PTT by coating PDAs with an (-)-epigallocatechin gallate (EGCG)/iron (Fe) metal-polyphenol network (MPN).

Small-size TiCTx MXene nanosheets coated with metal-polyphenol nanodots for enhanced cancer photothermal therapy and anti-inflammation.

As a controllable, simple method with few side effects, near-infrared (NIR) light-based photothermal therapy (PTT) has been proven an effective cancer therapeutic approach. However, PTT-induced inflammation is a potential negative factor. And the overexpressed heat shock proteins (HSPs) by cancer cells can protect them from hyperthermia during PTT.

Role of the Glycogen Synthase Kinase 3-Cyclic AMP/Protein Kinase A in the Immobilization of Human Sperm by Tideglusib.

Tideglusib is considered to be a promising alternative to nonyl alcohol-9 contraceptives. Previous studies have demonstrated that the rapid spermicidal effect of tideglusib at a high concentration (≥ 10 μM) may occur through detergent-like activity; however, the effect of low concentrations of tideglusib (< 5 μM) on sperm is unknown. We explored the intracellular mechanism of tideglusib (< 5 μM) on the immobilization of human sperm by exploring related signaling pathways in human sperm.

Moisture Controls the Suppression of Root Rot Disease by Indigenous Bacterial Communities.

Harnessing indigenous soil microbial suppression is an emerging strategy for managing soilborne plant diseases. Soil moisture is a vital factor in soil microbiomes, but its role in the regulation of microbial suppression is poorly understood. Here, we investigated the correlation of root rot disease of Panax notoginseng with rhizosphere microbial communities mediated by soil moisture gradients from 55% to 100% field capacity (FC); then, we captured the disease-suppressive and disease-inductive microbiomes and validated their functions by a culture experiment with synthetic microbiotas containing keystone species.

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

Markov boundary (MB) has been widely studied in single-target scenarios. Relatively few works focus on the MB discovery for variable set due to the complex variable relationships, where an MB variable might contain predictive information about several targets. This paper investigates the multi-target MB discovery, aiming to distinguish the common MB variables (shared by multiple targets) and the target-specific MB variables (associated with single targets).

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.

As data sources become ever more numerous with increased feature dimensionality, feature selection for multiview data has become an important technique in machine learning. Semi-supervised multiview feature selection (SMFS) focuses on the problem of how to obtain a discriminative feature subset from heterogeneous feature spaces in the case of abundant unlabeled data with little labeled data. Most existing methods suffer from unreliable similarity graph structure across different views since they separate the graph construction from feature selection and use the fixed graphs that are susceptible to noisy features.

Genetic Relationships of f. sp. in Southwestern and Northwestern China.

Wheat stripe rust, caused by Puccinia striiformis f. sp. (), is a crucial disease for wheat worldwide and constantly threatens wheat production in southwestern and northwestern China, where the environment is a good fit for oversummering and overwintering.

Carbon dots capped cerium oxide nanoparticles for highly efficient removal and sensitive detection of fluoride.

Since the excess exposure to F may induce serious issues to human health, the effective adsorption and sensitive detection of F is essential. Therefore, carbon dots (CDs) capped CeO (CeO@CDs) was synthesized via hydrothermal treatment of tannic acid and CeCl. Due to abundant phenolic hydroxyl are reserved and excellent hydrophilicity, CeO@CDs possess high F adsorption capacity.

MicroRNA editing patterns in Huntington's disease.

Huntington's disease (HD) is a neurodegenerative disease. MicroRNAs (miRNAs) are small non-coding RNAs that mediate post-transcriptional regulation of target genes. Although miRNAs are extensively edited in human brains, the editome of miRNAs in brains of HD patients is largely unknown.

Improving stock trading decisions based on pattern recognition using machine learning technology.

PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of daily patterns to start the pattern recognition schedule. Different time windows from one to ten days are used to detect the prediction effect at different periods.

A chitosan/mesoporous silica nanoparticle-based anticancer drug delivery system with a "tumor-triggered targeting" property.

To enhance drug utilization and reduce their side effects, the strategy of "tumor-triggered targeting" was introduced to fabricate dual-pH-sensitive chitosan (CHI)/mesoporous silica nanoparticle (MSN)-based anticancer drug delivery system (DDS) in this work. Model drug doxorubicin hydrochloride (DOX) was loaded in MSN, which was modified with benzimidazole (Bz) group. Then chitosan-graft-β-cyclodextrin (CHI-g-CD) was applied as the "gatekeeper" to cover MSN through host-guest interaction between β-CD and Bz.

Nanoplatform based on GSH-responsive mesoporous silica nanoparticles for cancer therapy and mitochondrial targeted imaging.

Mitochondria, as the energy factory of most cells, are not only responsible for the generation of adenosine triphosphoric acid (ATP) but also essential targets for therapy and diagnosis of various diseases, especially cancer. The safe and potential nanoplatform which can deliver various therapeutic agents to cancer cells and mitochondrial targeted imaging is urgently required. Herein, Au nanoparticles (AuNPs), mesoporous silica nanoparticles (MSN), cationic ligand (triphenylphosphine (TPP)), doxorubicin (DOX), and carbon nanodots (CDs) were utilized to fabricate mitochondrial targeting drug delivery system (denoted as CDs(DOX)@MSN-TPP@AuNPs).

Multi-stimuli responsive hollow MnO-based drug delivery system for magnetic resonance imaging and combined chemo-chemodynamic cancer therapy.

The exploration and application of hollow manganese dioxide nanoparticle (HMDN) for biosensing and biomedicine has gained significant research attention in the past decade. In this study, a type of biodegradable HMDN is prepared for multi-stimuli responsive tumor-targeted drug delivery, which was successfully loaded with doxorubicin hydrochloride (DOX). Then, the drug-loaded HMDN is functionalized with polyethyleneimine (PEI) as a gatekeeper followed by citraconic anhydride (cit) functionalized poly--lysine (PLL(cit)) as a charge reversal moiety successively to yield the resultant DOX@HMDN-PEI-PLL(cit) nanoparticles.

Hollow mesoporous MnO-carbon nanodot-based nanoplatform for GSH depletion enhanced chemodynamic therapy, chemotherapy, and normal/cancer cell differentiation.

A redox-responsive chemodynamic therapy (CDT)-based theranostic system composed of hollow mesoporous MnO (H-MnO), doxorubicin (DOX), and fluorescent (FL) carbon nanodots (CDs) is reported for the diagnosis and therapy of cancer. In general, since H-MnO can be degraded by intracellular glutathione (GSH) to form Mn with excellent Fenton-like activity to generate highly reactive ·OH, the normal antioxidant defense system can be injured via consumption of GSH. This in turn can potentiate the cytotoxicity of CDT and release DOX.

pH/GSH-Dual-Sensitive Hollow Mesoporous Silica Nanoparticle-Based Drug Delivery System for Targeted Cancer Therapy.

The purpose of developing novel anticancer drug delivery systems (DDSs) is to efficiently carry and release drugs into cancer cells and minimize side effects. In this work, based on hollow mesoporous silica nanoparticle (HMSN) and the charge-reversal property, a pH/GSH-dual-sensitive DDS named DOX@HMSN-SS-PLL(cit) was reported. HMSN encapsulated DOX with high efficacy and was then covered by the "gatekeeper" β-cyclodextrin (β-CD) through the glutathione (GSH)-sensitive disulfide bond.

Characterizing microRNAs and their targets in different organs of Camellia sinensis var. assamica.

To comprehensively annotate miRNAs and their targets in tea plant, Camellia sinensis, we sequenced small and messenger RNAs of 9 samples of Camellia sinensis var. assamica (YK-10), a diploid elite cultivar widely grown in southwest China. In order to identify targets of miRNAs, we sequenced two degradome sequencing profiles from leaves and roots of YK-10, respectively.

Multiple Kernel k-Means Clustering by Selecting Representative Kernels.

To cluster data that are not linearly separable in the original feature space, k -means clustering was extended to the kernel version. However, the performance of kernel k -means clustering largely depends on the choice of the kernel function. To mitigate this problem, multiple kernel learning has been introduced into the k -means clustering to obtain an optimal kernel combination for clustering.