Browse Articles

Asynchronicity of deglacial permafrost thawing controlled by millennial-scale climate variability

AbstractPermafrost is a potentially important source of deglacial carbon release alongside deep-sea carbon outgassing. However, limited proxies have restricted our understanding in circumarctic regions and the last deglaciation. Tibetan Plateau (TP), the Earth’s largest low-latitude and alpine permafrost region, remains underexplored. Using speleothem growth phases, we reconstruct TP permafrost thawing history over the last 500,000 years, standardizing chronology to investigate Northern Hemisphere permafrost thawing patterns. We find that, unlike circumarctic permafrost, TP permafrost generally initiates thawing at the onset of deglaciations, coinciding with Weak Monsoon Intervals and sluggish Atlantic Meridional Overturning Circulation (AMOC) during Terminal Stadials. Modeling elaborates that the associated Asian monsoon weakening induces anomalous TP warming through local cloud–precipitation–soil moisture feedback. This, combined with high-latitude cooling, results in asynchronous boreal permafrost thawing. During the last deglaciation, however, anomalous AMOC variability delayed TP and advanced circumarctic permafrost thawing. Our results indicate that permafrost carbon release, influenced by millennial-scale AMOC variability, may have been a non-trivial contributor to deglacial CO2 rise.

The correlation between cumulative cigarette consumption and infarction-related coronary spasm in patients with ST-segment elevation acute myocardial infarction across different age groups

Cost-effectiveness of systematic chemotherapy for metastatic pancreatic cancer: a retrospective study using Japanese clinical data

Versatile parallel signal processing with a scalable silicon photonic chip

A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats

AbstractInsider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model. The model employs deep feature synthesis to automatically generate detailed user profiles from event data and utilizes binary deep learning for accurate threat identification. The DS-IID model addresses three key issues: it (i) detects malicious insiders using supervised learning, (ii) evaluates the effectiveness of generative algorithms in replicating real user profiles, and (iii) distinguishes between real and synthetic abnormal user profiles. To handle imbalanced data, the model uses on-the-fly weighted random sampling. Tested on the CERT insider threat dataset, the DS-IID achieved 97% accuracy and an AUC of 0.99. Moreover, the model demonstrates strong performance in differentiating real from AI-generated (synthetic) threats, achieving over 99% accuracy on optimally generated data. While primarily evaluated on synthetic datasets, the high accuracy of the DS-IID model suggests its potential as a valuable tool for real-world cybersecurity applications.

Depression among Tibetan residents in the Southeastern region of Qinghai-Tibet plateau: a cross-sectional study

AbstractDepression has emerged as a significant public health concern, with its prevalence fluctuating based on varying environmental and demographic factors. This study categorized participants based on altitude. A convenient sampling approach was used, and the hamilton depression rating scale-24 was used to assess depressed symptoms while gathering demographic information. A total of 600 Tibetan residents from the Dege area of Garze Prefecture, Sichuan, China, participated in the survey. The mean age is 56.81 years, males comprising 52.8% and females 47.2% of the sample. Of the participants, 41.2% resided permanently at elevations exceeding 3500 m. The results found that the weighted prevalence of depression in the area was 24.62%. Regardless of gender, the age group with the highest prevalence was 55–64 years old. Depression increased with age as well as gradually decreased after the age of 60. Logistic regression analysis showed that middle-aged (OR 2.86, 95% CI 1.69–4.82, P < 0.01) and elderly people (OR 2.27, 95% CI 1.30–3.98, P < 0.01), living in ultra-high altitude areas (OR 3.48, 95% CI 1.35–2.91, P < 0.01) and low BMI (OR   4.31, 95% CI 1.33–13.93) are high-risk factors for depression. This study enhances the understanding of the characteristics of depression in high-altitude regions of China, contributing to a more comprehensive view of the psychological well-being of residents in these areas. The findings underscore the need for targeted prevention and treatment strategies tailored to the specific needs of these populations.

Inhalable nanovesicles loaded with a STING agonist enhance CAR-T cell activity against solid tumors in the lung

Impact of frailty and prevalent fractures on the long-term prognosis of patients with cirrhosis: a retrospective study

Influence of false lumen status on systemic inflammatory response triggered by acute aortic dissection

Passive and active suppression of transduced noise in silicon spin qubits

DCUN1D5 is a prognostic biomarker and correlated immune infiltrates and glycolysis in lung adenocarcinoma

An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network

Generic residue numbering of the GAIN domain of adhesion GPCRs

Abstract The GPCR autoproteolysis inducing (GAIN) domain is an ancient protein fold ubiquitous in adhesion G protein-coupled receptors (aGPCR). It contains a tethered agonist necessary and sufficient for receptor activation. The GAIN domain is a hotspot for pathological mutations. However, the low primary sequence conservation of GAIN domains has thus far hindered the knowledge transfer across different GAIN domains in human receptors as well as species orthologs. Here, we present a scheme for generic residue numbering of GAIN domains, based on structural alignments of over 14,000 modeled GAIN domain structures. This scheme is implemented in the GPCR database (GPCRdb) and elucidates the domain topology across different aGPCRs and their homologs in a large panel of species. We identify conservation hotspots and statistically cancer-enriched positions in human aGPCRs and show the transferability of positional and structural information between GAIN domain homologs. The GAIN-GRN scheme provides a robust strategy to allocate structural homologies at the primary and secondary levels also to GAIN domains of polycystic kidney disease 1/PKD1-like proteins, which now renders positions in both GAIN domain types comparable to one another. In summary, our work enables researchers to generate hypothesis and rationalize experiments related to GAIN domain function and pathology.

Use of refractive aids among adults in a general population

Influence law of air flow and water immersion duration on the risk of secondary oxidation spontaneous combustion of coal

Identification and structure-guided development of triazole urea-based selective antagonists of Arabidopsis karrikin signaling

Utilizing deterministic smart tools to predict recovery factor performance of smart water injection in carbonate reservoirs

Iron induces blood-brain barrier alteration contributing to cognitive impairment in β-thalassaemia mice

Pantothenate kinase 4 controls skeletal muscle substrate metabolism

AbstractMetabolic flexibility in skeletal muscle is essential for maintaining healthy glucose and lipid metabolism, and its dysfunction is closely linked to metabolic diseases. Exercise enhances metabolic flexibility, making it an important tool for discovering mechanisms that promote metabolic health. Here we show that pantothenate kinase 4 (PanK4) is a new conserved exercise target with high abundance in muscle. Muscle-specific deletion of PanK4 impairs fatty acid oxidation which is related to higher intramuscular acetyl-CoA and malonyl-CoA levels. Elevated acetyl-CoA levels persist regardless of feeding state and are associated with whole-body glucose intolerance, reduced insulin-stimulated glucose uptake in glycolytic muscle, and impaired glucose uptake during exercise. Conversely, increasing PanK4 levels in glycolytic muscle lowers acetyl-CoA and enhances glucose uptake. Our findings highlight PanK4 as an important regulator of acetyl-CoA levels, playing a key role in both muscle lipid and glucose metabolism.

Alpha-glucosidase inhibitor decreases the risk of colorectal adenoma in the aged with Type 2 diabetes