Quantum key distribution implemented with d-level time-bin entangled photons.

High-dimensional photon states (qudits) are pivotal to enhance the information capacity, noise robustness, and data rates of quantum communications. Time-bin entangled qudits are promising candidates for implementing high-dimensional quantum communications over optical fiber networks with processing rates approaching those of classical telecommunications. However, their use is hindered by phase instability, timing inaccuracy, and low scalability of interferometric schemes needed for time-bin processing.

Molecular design strategy for microorganism discrimination based on keto-salicylaldehyde azine derivatives.

The rapid and selective identification of microorganisms is of great significance for clinical therapy applications. To develop high performance probes for microbe determination, we systemically constructed series aggregation-induced emission (AIE) luminogens by modulating the structural planarity, the basicity of functional group, the length of linker moiety and the hydrophobicity based on our previous work. The detail structure-property relationship study based on experimental and theoretical observation revealed that: i) the planar skeleton is essential for probe insertion towards the cell wall via van n der Waals' force.

KIF20A activated by transcription factor GATA2 promotes cell growth in hepatitis B virus-related hepatocellular carcinoma.

Background: Elevated evidence suggests that KIF20A plays an important role in hepatocellular carcinoma (HCC) progression. Nevertheless, the underlying mechanism by which KIF20A promotes HCC cell growth are not well understood.

Methods: Using TCGA-LIHC RNAseq and GEO datasets, we assessed the KIF20A expression and patient survival in HCC and hepatitis B virus (HBV)-related HCC.

Building Block for Designing Bright Type I AIE-Active Photosensitizers with Deep/Near-infrared Red Fluorescence.

Bright deep red/near-infrared red (DR/NIR) active type I photosensitizers (PSs) with generating superoxide anion and hydroxyl radical have been regarded as powerful functional materials to fight the "Achilles's heel" of hypoxia from solid tumor. But some problems have still existed, for example, lacking effective molecular designed strategy or typical building block to design precisely type I PSs. In addition, the relationship between fluorescent quantum efficiency and NIR fluorescent color is inconsistent according to energy gap rule.

TRPV4 drives the progression of leiomyosarcoma by promoting ECM1 generation and co-activating the FAK/PI3K/AKT/GSK3β pathway.

Purpose: Leiomyosarcoma (LMS) is an aggressive mesenchymal malignant tumor with poor therapeutic options, but the molecular mechanisms underlying LMS remain largely unknown. Increasing evidence indicates that transient receptor potential vanilloid 4 (TRPV4) levels are closely related to the advancement of various malignant tumors through diverse molecular mechanisms. However, the roles and regulatory mechanisms of TRPV4 in LMS progression remain unclear.

Perception and coping with self-perceived burden among colorectal cancer patients and their caregivers: A qualitative study.

Purpose: Self-perceived burden can take a toll on the physical and psychological well-being of cancer couples and prevent them from achieving favorable outcomes. There is limited qualitative research synthesizing the cognition and coping with self-perceived burden among Chinese colorectal cancer patients and their caregivers. Therefore, this study examined perceptions of self-perceived burden and coping strategies from the perspectives of colorectal cancer patients, their spousal caregivers and nursing staff.

Rimota-Gd: Paramagnetic Probe for In Vivo MRI Studies of the Cannabinoid 1 Receptor Distribution in the Mouse Brain.

The cannabinoid 1 receptor (CB1) is highly expressed in the central nervous system, where its physiological functions include the regulation of energy balance, pain, and addiction. Herein, we develop and validate a technique to use magnetic resonance imaging (MRI) to investigate the distribution of CB1 across mouse brains with high spatial resolution, expanding previously described in vitro studies and in vivo studies with positron emission tomography (PET). To support the MRI investigations, we developed a ligand that is specific for in vivo neuroimaging of CB1.

Hydrocortisone improves post-resuscitation myocardial dysfunction by inhibiting the NF-κB pathway.

Myocardial dysfunction is a major cause of early mortality after successful cardiopulmonary resuscitation (CPR) following cardiac arrest (CA). Following the return of spontaneous circulation, myocardial ischemia-reperfusion injury can activate the NF-κB pathway, leading to the transcription of inflammatory genes that impair myocardial function. While clinical studies show hydrocortisone (HC) improves outcomes in CA patients during CPR, its specific role in modulating the NF-κB pathway is unclear.

Reinforcing Photogenerated Carrier Extraction of Environment-Friendly InP/ZnSeS Quantum Dots for High-Performing Photoelectrochemical Photodetection and Solar Energy Conversion.

Colloidal InP/ZnSeS-based quantum dots (QDs) are considered promising building blocks for light-emitting devices due to their environmental friendliness, high quantum yield (QY), and narrow emission. However, the intrinsic type-I band structure severely hinders potential photoelectrochemical (PEC) applications requiring efficient photoexcited carrier separation and transfer. In this study, the optoelectronic properties of InP/ZnSeS QDs are tailored by introducing Al dopants in the ZnSeS layer, which concurrently passivate the surface defects and act as shallow donor states for suppressed non-radiative recombination and improved charge extraction efficiency.

Xanthohumol Protects Against Neuronal Excitotoxicity and Mitochondrial Dysfunction in APP/PS1 Mice: An Omics-Based Study.

: Neuronal excitotoxicity and metabolic decline, which begin in the early stages of Alzheimer's disease (AD), pose challenges for effective amelioration. Our previous work suggested that the natural compound xanthohumol, the most abundant prenylated flavonoid in hops, prevents memory deficits in APP/PS1 mice; however, the underlying mechanisms remain unclear. : This study utilized APP/PS1 mice and cutting-edge omics techniques to investigate the effects of xanthohumol on hippocampal proteome, serum metabolome, and microbiome.

High-performance photon-driven DC motor system.

Direct current (DC) motors are crucial in drones, robotics, and electrical devices. Conventionally, the DC motor is driven by a switching electricity converter, which utilizes electrical energy to drive mechanical motion. However, the rapid on-off switching actions in the switching electricity converter would cause electromagnetic interference (EMI), impairing the functionality of drive systems.

Establishment and characterization of a patient-derived metastatic extraskeletal Ewing sarcoma cell line ES-ZSS-1.

The methods available for treating metastatic Ewing sarcoma (ES) are inadequate; thus, innovative therapeutic approaches need to be developed. However, the lack of clinically relevant ES models has hindered the discovery of drugs for this disease. In this study, we established and characterized a patient-derived xenograft (PDX) cell line model, which was constructed using tumor tissue from a patient with metastatic extraskeletal ES.

A Mitochondria-Targeting Water-Soluble Fluorescent Probe for Selective Detection of Glyoxal in Living Cells.

Glyoxal (GL) is a physiological reactive α-oxoaldehyde metabolite, produced by lipid peroxidation and autoxidation of glucose. In this work, a specific mitochondria-targeting fluorescent probe Z-GL for glyoxal has been developed by an introducing isopropyl group on the recognition site to tune the selectivity toward glyoxal. The probe showed high selectivity and sensitivity for glyoxal in an aqueous system.

Tailored Environment-Friendly Reverse Type-I Colloidal Quantum Dots for a Near-Infrared Optical Synapse and Artificial Vision System.

Colloidal quantum dots (QDs) are emerging as potential candidates for constructing near-infrared (NIR) photodetectors (PDs) and artificial optoelectronic synapses due to solution processability and a tunable bandgap. However, most of the current NIR QDs-optoelectronic devices are still fabricated using QDs with incorporated harmful heavy metals of lead (Pb) and mercury (Hg), showing potential health and environment risks. In this work, we tailored eco-friendly reverse type-I ZnSe/InP QDs by copper (Cu) doping and extended the photoresponse from the visible to NIR region.

Chiral Symmetry Breaking in Colloidal Metal Nanoparticle Solutions by Circularly Polarized Light.

Shape symmetry breaking in the formation of inorganic nanostructures is of significant current interest. It was typically achieved through the growth of colloidal nanoparticles with adsorbed chiral molecules. Photochemical processes induced through asymmetric plasmon excitation by circularly polarized light in surface immobilized nanostructures also led to symmetry breaking.

Modulating Eco-friendly Colloidal AgGaS Quantum Dots for Highly Efficient Photodetection and Image Sensing via Direct Growth of Ternary AgInS Shell.

Tailoring the optoelectronic characteristics of colloidal quantum dots (QDs) by constructing a core/shell structure offers the potential to achieve high-performing solution-processed photoelectric conversion and information processing applications. In this work, the direct growth of wurtzite ternary AgInS (AIS) shell on eco-friendly AgGaS (AGS) core QDs is realized, giving rise to broadened visible light absorption, prolonged exciton lifetime and enhanced photoluminescence quantum yield (PLQY). Ultrafast transient absorption spectroscopy demonstrats that the photoinduced carrier separation and transfer kinetics of AGS QDs are significantly optimized following the AIS shell coating.

Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost.

A mechanical vibration fault diagnosis is a key means of ensuring the safe and stable operation of transformers. To achieve an accurate diagnosis of transformer vibration faults, this paper proposes a novel fault diagnosis method based on time-shift multiscale increment entropy (TSMIE) combined with CatBoost. Firstly, inspired by the concept of a time shift, TSMIE was proposed.

Construction of Yolk@shell Nanocomposite Particles with Controlled Multisized Pore Structures by Monomicelle Confined Assembly.

Hollow nanoparticles with tunable structures and spatial and chemical specificity are considered as promising carriers. However, it remains a formidable challenge to endow hollow nanomaterials with precisely controlled multisized macro/mesoporous structures up to now. This paper demonstrates a "polydopamine (PDA) expansion-shrinkage" strategy combined with a monomicelle interfacial confined assembly method to achieve the highly controllable preparation of a series of yolk@shell PDA@SiO composite nanoparticles with structural asymmetry and a tunable multisized pore in the shell.

Physical-chemical double crosslinked silk fibroin hydrogel for high-performance bone screws.

Hydrogels are widely used due to their exceptional biocompatibility and adaptability, but their weak mechanical properties limit their application in biomedical engineering. Herein, we rapidly attained a comprehensive enhancement of silk fibroin hydrogels in mechanical properties by employing a physical-chemical double crosslinking strategy. The SF was ultrasonicated and simultaneously photo-crosslinked to form a di-tyrosine network interspersed with β-sheet blocks, resulting in a SF hydrogel network structure with both rigid and flexible domains.

A method for compressing AIS trajectory based on the adaptive core threshold difference Douglas-Peucker algorithm.

Traditional trajectory compression algorithms, such as the siliding window (SW) algorithm and the Douglas-Peucker (DP) algorithm, typically use static thresholds based on fixed parameters like ship dimensions or predetermined distances, which limits their adaptive capabilities. In this paper, the adaptive core threshold difference-DP (ACTD-DP) algorithm is proposed based on traditional DP algorithm. Firstly, according to the course value of automatic identification system (AIS) data, the original trajectory data is preprocessed and some redundant points are discarded.