Browse Articles

Determination of antibacterial and antioxidant potential of organic crude extracts from Malus domestica, Cinnamomum verum and Trachyspermum ammi

Termination-acidity tailoring of molybdenum carbides for alkaline hydrogen evolution reaction

Mental Health and Associated Factors among Bangladeshi Migrants in Thailand: a cross-sectional study

Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation

AbstractReliable molecular property prediction is essential for various scientific endeavors and industrial applications, such as drug discovery. However, the data scarcity, combined with the highly non-linear causal relationships between physicochemical and biological properties and conventional molecular featurization schemes, complicates the development of robust molecular machine learning models. Self-supervised learning (SSL) has emerged as a popular solution, utilizing large-scale, unannotated molecular data to learn a foundational representation of chemical space that might be advantageous for downstream tasks. Yet, existing molecular SSL methods largely overlook chemical knowledge, including molecular structure similarity, scaffold composition, and the context-dependent aspects of molecular properties when operating over the chemical space. They also struggle to learn the subtle variations in structure-activity relationship. This paper introduces a multi-channel pre-training framework that learns robust and generalizable chemical knowledge. It leverages the structural hierarchy within the molecule, embeds them through distinct pre-training tasks across channels, and aggregates channel information in a task-specific manner during fine-tuning. Our approach demonstrates competitive performance across various molecular property benchmarks and offers strong advantages in particularly challenging yet ubiquitous scenarios like activity cliffs.

Spin and valley dependent transport and tunneling magnetoresistance in irradiated ferromagnetic WSe2double barrier junctions

AbstractSpin and valley polarizations (Ps and PKK’) and tunneling magnetoresistance (TMR) are demonstrated in the ferromagnetic/barrier/normal/barrier/ferromagnetic WSe2 junction, with the gate voltage and off-resonant circularly polarized light (CPL) applied to the two barrier regions. The minimum incident energy of non-zero spin- and valley-resolved conductance has been derived, which is consistent with numerical calculations and depends on the electric potential U, CPL intensity ΔΩ, exchange field h, and magnetization configuration: parallel (P) or antiparallel (AP). For the P (AP) configuration, the energy region with PKK’ = -1 or Ps = 1 is wider (narrower) and increases with ΔΩ. As h increases, the Ps = 1 (PKK’ = -1 or Ps = 1) plateau becomes wider (narrower) for the P (AP) configuration. As U increases, the energy region with PKK’ = -1 increases first and then moves parallel to the EF-axis, and the energy region with Ps = 1 for the P configuration remains unchanged first and then decreases. The energy region for TMR = 1 increases rapidly with h, remains unchanged first and then decreases as U increases, and has little dependence on ΔΩ. When the helicity of the CPL reverses, the valley polarization will switch. This work sheds light on the design of spin-valley and TMR devices based on ferromagnetic WSe2 double-barrier junctions.

GmERF13 mediates salt inhibition of nodulation through interacting with GmLBD16a in soybean

Construction and validation of a nomogram predictive model for assessing the risk of surgical site infections following posterior lumbar fusion surgery

Rapid and quantitative functional interrogation of human enhancer variant activity in live mice

Abstract Functional analysis of non-coding variants associated with congenital disorders remains challenging due to the lack of efficient in vivo models. Here we introduce dual-enSERT, a robust Cas9-based two-color fluorescent reporter system which enables rapid, quantitative comparison of enhancer allele activities in live mice in less than two weeks. We use this technology to examine and measure the gain- and loss-of-function effects of enhancer variants previously linked to limb polydactyly, autism spectrum disorder, and craniofacial malformation. By combining dual-enSERT with single-cell transcriptomics, we characterise gene expression in cells where the enhancer is normally and ectopically active, revealing candidate pathways that may lead to enhancer misregulation. Finally, we demonstrate the widespread utility of dual-enSERT by testing the effects of fifteen previously uncharacterised rare and common non-coding variants linked to neurodevelopmental disorders. In doing so we identify variants that reproducibly alter the in vivo activity of OTX2 and MIR9-2 brain enhancers, implicating them in autism. Dual-enSERT thus allows researchers to go from identifying candidate enhancer variants to analysis of comparative enhancer activity in live embryos in under two weeks.

Knockout or inhibition of DHPS suppresses ovarian tumor growth and metastasis by attenuating the TGFβ pathway

Tracing ancient solar cycles with tree rings and radiocarbon in the first millennium BCE

AbstractThe Sun drives Earth’s energy systems, influencing weather, ocean currents, and agricultural productivity. Understanding solar variability is critical, but direct observations are limited to 400 years of sunspot records. To extend this timeline, cosmic ray-produced radionuclides like 14C in tree-rings provide invaluable insights. However, few records have the resolution or temporal span required to thoroughly investigate important short-term solar phenomena, such as the 11-year solar cycle, or 14C production spikes most likely linked to solar energetic particle (SEP) events. Here we present a continuous, annually resolved atmospheric 14C record from tree-rings spanning the first millennium BCE, confirming no new SEP’s and clearly defining the 11-year solar cycle, with a mean period of 10.5 years, and amplitude of approximately 0.4‰ in 14C concentration. This dataset offers unprecedented detail on solar behavior over long timescales, providing insights for climatic research and solar hazard mitigation, while also offering enhanced radiocarbon calibration and dating accuracy.

Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries

Factors governing $${\rm H}_{3}^{+}$$ formation from methyl halogens and pseudohalogens

Seepage mode in lamina-developed shale oil reservoirs under strong heterogeneous and strong fluid–solid coupling in Jiyang depression of China

Author Correction: Thermophilic Hadarchaeota grow on long-chain alkanes in syntrophy with methanogens

Associations of time spent on different types of digital media with self-rated general and mental health in Swedish adolescents

AbstractAlthough previous studies have suggested an association between digital media use and health, detailed knowledge about how different types of digital media impact adolescent health is limited. This cross-sectional population-based study explored the relationship between time spent on various digital media and adolescents’ self-rated general and mental health. The study included 3566 Swedish high school students aged 16–17 years. Associations between time spent on digital media (social media, gaming, watching movies/series/video clips etc. and digital schoolwork) and self-rated health outcomes (general health, self-esteem, symptoms of worry/anxiety and low mood/depression, trust in other people, head/neck/shoulder pain and sleep quality) was assessed. Statistical analyses employed logistic regression models adjusted for covariates (sociodemographic variables and health behaviours). In the adjusted models, spending very high amounts of time (≥ 6 h/day) on any digital media, except schoolwork, was associated with poor self-esteem, symptoms of low mood/depression and poor sleep (ORs 1.35–2.93, p < 0.05). Spending six hours or more on digital media was also associated with worry/anxiety (for social media and gaming), head/neck/shoulder pain (for social media, watching movies/series/video clips and schoolwork), poor general health (for gaming and watching movies/series/video clips) and low trust (for gaming) (ORs 1.39–3.18, p < 0.05). High amounts of time (4–5 h/day) of watching movies/series/video clips was associated with daily symptoms of low mood/depression, neck/shoulder pain, and low trust in other people (ORs 1.46, 1.41, and 1.32, p < 0.05). This study indicates a dose-response relationship between digital media use and adverse health outcomes in adolescents, where adverse associations start to appear after 4–5 h, particularly for watching movies/series/video clips. However, further longitudinal studies, randomized controlled trials and public health interventions focused on healthy and balanced use of digital media are warranted.

Hierarchical representations of relative numerical magnitudes in the human frontoparietal cortex

Study on performance of perforated dew point indirect evaporative coolers

Elastic, strong and tough ionically conductive elastomers

Research on the acoustic emission characteristics and instability correlation effect of the dynamic response of waste dump slopes

Spatial tumor immune heterogeneity facilitates subtype co-existence and therapy response in pancreatic cancer

AbstractPancreatic ductal adenocarcinoma (PDAC) displays a high degree of spatial subtype heterogeneity and co-existence, linked to a diverse microenvironment and worse clinical outcome. However, the underlying mechanisms remain unclear. Here, by combining preclinical models, multi-center clinical, transcriptomic, proteomic, and patient bioimaging data, we identify an interplay between neoplastic intrinsic AP1 transcription factor dichotomy and extrinsic macrophages driving subtype co-existence and an immunosuppressive microenvironment. ATAC-, ChIP-, and RNA-seq analyses reveal that JUNB/AP1- and HDAC-mediated epigenetic programs repress pro-inflammatory signatures in tumor cells, antagonizing cJUN/AP1 signaling, favoring a therapy-responsive classical neoplastic state. This dichotomous regulation is amplified via regional TNF-α+ macrophages, which associates with a reactive phenotype and reduced CD8+ T cell infiltration in patients. Consequently, combined preclinical anti-TNF-α immunotherapy and chemotherapy reduces macrophages and promotes CD3+/CD8+ T cell infiltration in basal-like PDAC, improving survival. Hence, tumor cell-intrinsic epigenetic programs, together with extrinsic microenvironmental cues, facilitate intratumoral subtype heterogeneity and disease progression.