Browse Articles

Illness acceptance and community self-efficacy mediate the relationship between social isolation and loneliness among elderly people with parkinson’s disease

ORLA combined with telerehabilitation in patients with subacute Poststroke aphasia: a randomized controlled trial

Evaluating shear strength and acoustic emission in rock-like materials with non-persistent joint geometries under freeze-thaw conditions

Abstract This study examines the effects of freeze-thaw cycles and the geometric configuration of non-persistent joints on the shear behavior of rock masses. Various artificial rock samples with non-persistent joints underwent direct shear testing to investigate how freeze-thaw cycles (F-T), the rock bridge angle (β), the number of joints (N), and normal stress (σn) influence shear strength and fracture development. Taguchi’s method was employed for experimental design, and the impact of the parameters was evaluated using analysis of variance (ANOVA). Additionally, acoustic emission (AE) detection was utilized to reveal the fracturing characteristics of rock bridges during the tests. The results indicate that normal stress has the most significant effect on shear strength, while the number of joints has the least impact. The angle of the rock bridge is the second most crucial factor influencing shear strength; specifically, low angles lead to tensile failure, while higher angles result in a transition to shear failure. AE data shows that tensile failure occurs at high average frequencies (AF) and low rise angle (RA) values, whereas shear failure exhibits the opposite characteristics. F-T cycles rank third in significance. The results indicate that frost heave primarily affects the specimens in the initial stages of the F-T cycles. Furthermore, the direct shear test results for specimens subjected to F-T cycles are categorized into three stages based on acoustic emission (AE) data: a quiet stage, an AE development stage, and a drop AE stage. Notably, as the number of F-T cycles increases, both the duration of the AE development stage and the AE energy level decrease.

Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases

Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy

Abstract DNA topology is essential for regulating cellular processes and maintaining genome stability, yet it is challenging to quantify due to the size and complexity of topologically constrained DNA molecules. By combining high-resolution Atomic Force Microscopy (AFM) with a new high-throughput automated pipeline, we can quantify the length, conformation, and topology of individual complex DNA molecules with sub-molecular resolution. Our pipeline uses deep-learning methods to trace the backbone of individual DNA molecules and identify crossing points, efficiently determining which segment passes over which. We use this pipeline to determine the structure of stalled replication intermediates from Xenopus egg extracts, including theta structures and late replication products, and the topology of plasmids, knots and catenanes from the E. coli Xer recombination system. We use coarse-grained simulations to quantify the effect of surface immobilisation on twist-writhe partitioning. Our pipeline opens avenues for understanding how fundamental biological processes are regulated by DNA topology.

Increase in H5N1 vaccine antibodies confers cross-neutralization of highly pathogenic avian influenza H5N1

Association of 24-Hour blood pressure average real variability with poor prognosis in critically ill patients with coronary artery disease

Filtering characteristics of isolation layer in base-isolated structures and shaking table test verification

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy

Bioremediation of diesel-contaminated saline soil and enhancement of microbial salinity tolerance by a biosurfactant-producing Bacillus subtilis AHV-KH11 and external surfactant application: bio-toxicity assessment

Integrative in Silico and in vitro validation suggest LINC00963 and SNHG15 as candidate biomarkers for coronary artery disease

Surgical timing and approach for brainstem cavernous malformation warranting thorough preoperative evaluation

Biofilm detachment significantly affects biological stability of drinking water during intermittent water supply in a pilot scale water distribution system

Enhanced mechanical and optical properties of alumina ceramics via simultaneous magnesium, lanthanum, and zirconium oxide addition in spark plasma sintering

High sensitivity graphene based terahertz biosensor for accurate detection of blood antigens using a novel multilayer radial structure

Observation of the electric Breit–Rabi effect

The response of an atom to external electric and magnetic fields can reveal fundamental atomic properties. It has long been verified that, in a static magnetic field, those atomic energy levels with hyperfine interactions shift according to the Breit–Rabi formula, which introduces nonlinear dependence on the magnetic field. On the other hand, the corresponding Breit–Rabi dependence on a static electric field has not been observed before due to a combination of experimental challenges. Here, we precisely measure the Stark shift of the 6 s 2 1 S 0 ↔ 6 s 6 p 1 P 1 transition of 171 Yb ( I = 1/2) with cold atoms held by an optical dipole trap in a static electric field up to 120 kV/cm. We observe the electric Breit–Rabi effect displaying high-order ( E 4 and E 6 ) DC Stark shifts. These effects arise from the influence of the strong electric field on hyperfine interactions.

Distinct subnetworks of the mouse anterior thalamic nuclei

Abstract Currently, classification of neuron types in the mouse thalamus remains largely incomplete. The anterior thalamic nuclei (ATN), a Papez circuit component, encompass the anterodorsal (AD), anteroventral (AV), and anteromedial (AM) thalamic nuclei. Structurally, the ATN facilitate communication among the neocortex, hippocampus, amygdala, and hypothalamus. Functionally, they play pivotal roles in learning, memory, spatial navigation, and goal-directed behaviors. Therefore, the ATN provide a promising avenue to investigate the relationship between structural and functional complexity with neuron type diversity. In male mice, comprehensive, systematically collected, pathway tracing data revealed several connectionally unique ATN cell populations, suggesting multiple parallel subnetworks run through each nucleus. Further, we applied genetic sparse labeling, brain clearing, 3D microscopic imaging, and computational informatics to morphologically characterize and catalog ATN neuron types. This study provides insights into how the prefrontal cortex, hippocampus, and amygdala interact through neuron type-specific ATN subnetworks to coordinate cognitive and emotional aspects of goal-directed behavior.

Copy number flexibility facilitates heteroresistance to increasing antibiotic pressure and threatens the beta-lactam pipeline

Simultaneous chirality and energy transfer of donor–acceptor chromophores via bio-inspired supramolecular light-harvesting

The relationship between job stress, resilience, emotional intelligence, and job satisfaction among college teachers