Browse Articles

DG9 boosts PMO nuclear uptake and exon skipping to restore dystrophic muscle and cardiac function

Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds

Selective radical-type perfluoro-tert-butylation of unsaturated compounds with a stable and scalable reagent

Representing Born effective charges with equivariant graph convolutional neural networks

Chaperone-mediated autophagy manipulates PGC1α stability and governs energy metabolism under thermal stress

Serum lactate dehydrogenase as a prognostic marker for 90-day mortality in connective tissue disease patients receiving glucocorticoids and hospitalized with pneumonia: a cohort study

Nonlocal flat optics for size-selective image processing and denoising

TRIM21 knockdown alleviates hemorrhage induced hepatic ischemia reperfusion injury by suppressing ferroptosis-induced NETs

Unraveling mutagenic processes influencing the tumor mutational patterns of individuals with constitutional mismatch repair deficiency

Trends and outcomes of chemotherapy timing in critically ill patients with hematologic malignancies using a Japanese national database

Investigating the dual role of mitochondrial and nuclear genome variants in pediatric cardiomyopathies

Not the presence but the timing of acoustic signals influence dogs’ behaviour toward an artificial agent

Abstract Some features of communicative signals may only direct the attention of the receiver to the signaller, and others may convey specific aspects of the message. Dogs rapidly engage in complex interactions with artificial agents allowing to test whether auditory cues of these agents can only serve as attention-getting cues or they can also convey context-specific message. Dogs encountered the agent first when it helped them to obtain an unreachable reward (Problem-solving); the agent was either (a) silent, or it emitted sound (b) at specific time intervals (Incongruent), or (c) congruently with its interactive behaviours (Congruent). Then, dogs could obtain a reward by following the agent’s indication between two hiding places (Two-way choice). Dogs in all groups displayed communicative behaviour toward the agent. However, the Congruent group started to gaze at the agent later at the beginning of the Problem-solving, and their choice was at chance level in the Two-way choice. No difference was found between the Silent and Incongruent groups. Thus, not the attention-getting aspect of the sound, but the temporal synchronicity of the sound and specific behaviour influenced dogs’ behaviour.

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing

Association of coagulation-related indicators with postoperative venous thromboembolism occurrence in patients with pituitary tumors

Lysyl oxidase mediates regeneration of chondrocytes and extracellular matrix in the construction of tissue-engineered cartilage in vitro

Association between preoperative proximal thoracic curve flexibility and postoperative spontaneous correction in Lenke type 1 adolescent idiopathic scoliosis: a retrospective study

Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model

In vitro localization of modified zinc oxide nanoparticles showing selective anticancer effects against colorectal carcinoma using biophysical techniques

Abstract In recent decades, despite advancements in conventional cancer therapies, their serious side effects on both healthy and tumor cells remain a major concern. Aiming to address indiscriminate drug distribution, unwanted toxicity, and high chemotherapy doses, this study explores the targeted delivery of zinc oxide nanoparticles (ZnO NPs). ZnO NPs were synthesized and coated with bovine serum albumin (BSA) and tetraethoxysilane (TEOS) to control cellular uptake and enhance anticancer activity. Characterized by UV-visible spectroscopy, DLS, FTIR, XRD, and TEM, ZnO, ZnOB, and ZnOT particles displayed sizes of 140 ± 13.6 nm, 342 ± 8.4 nm, and 145 ± 23.8 nm, respectively, with ZnOT showing a positive charge of + 19.3 ± 4.16 mV, enhancing stability and cellular interaction. Cytotoxicity assays revealed ZnO’s potent anticancer effect in Caco-2 cells with an IC50 of 219 µg/ml, while ZnOB and ZnOT showed moderate toxicity (IC50 values of 308 µg/ml and 235 µg/ml). HepG2 cells maintained viability close to 100%, highlighting ZnO NPs’ selectivity for Caco-2 cells. Flow cytometry and confocal microscopy indicated differential uptake, with ZnOB showing the highest uptake in Caco-2 cells after 24 h at 37 °C, increasing fluorescence intensity by over 80% compared to ZnO. ZnOT notably increased late apoptotic cells by 65% in Caco-2 lines and caused a 40% rise in G2/M phase arrest. Mitochondrial function assays showed that ZnO reduced mitochondrial membrane potential by over 30%, indicating stress induction. These results support the potential of ZnO-based nanoparticles in colorectal cancer treatment, offering selective cytotoxicity, enhanced cellular uptake, and clear apoptotic activity, making them a promising alternative to conventional chemotherapy.

Comparison of [99mTc]Tc-FAPI SPECT/CT and [18F]FDG PET/CT as predictive biomarkers for immunotherapy response in gastrointestinal cancer

Modeling and simulation analysis of multi-scenario air conditioning cluster response for intelligent load management in distribution networks

Abstract This paper proposes a dynamic multi-scenario modeling approach for air conditioning (AC) cluster loads, integrating occupant behavior, spatiotemporal activity distributions, and meteorological factors. A refined unregulated load baseline is established to better isolate and evaluate the effects of AC usage on overall distribution network loads. Simulation results under various scenarios indicate that the proposed framework accurately captures cluster-level load responses, effectively reflecting the interplay among occupant activities, temperature variations, and regional characteristics. The outcomes demonstrate the model’s potential to enhance AC load forecasting and support intelligent demand-side management in smart grids, offering both theoretical and practical insights for future load regulation strategies.