Small molecule inhibits KCNQ channels with a non-blocking mechanism.

Voltage-gated ion channels (VGICs) are crucial targets for neuropsychiatric therapeutics owing to their role in controlling neuronal excitability and the established link between their dysfunction and neurological diseases, highlighting the importance of identifying modulators with distinct mechanisms. Here we report two small-molecule modulators with the same chemical scaffold, Ebio2 and Ebio3, targeting a potassium channel KCNQ2, with opposite effects: Ebio2 acts as a potent activator, whereas Ebio3 serves as a potent and selective inhibitor. Guided by cryogenic electron microscopy, patch-clamp recordings and molecular dynamics simulations, we reveal that Ebio3 attaches to the outside of the inner gate, employing a unique non-blocking inhibitory mechanism that directly squeezes the S6 pore helix to inactivate the KCNQ2 channel.

Alcohol consumption and ambulatory blood pressure-lowering effect in male patients on clinic blood pressure-guided antihypertensive treatment.

In the present analysis, we investigated the association between alcohol consumption and ambulatory blood pressure (BP) control in male patients after 8 weeks of antihypertensive therapy with two dihydropyridine calcium channel blockers. The study participants were hypertensive (clinic systolic/diastolic BP of 140-179/90-109 mmHg and 24-hour ambulatory systolic/diastolic BP ≥ 130/80 mmHg) patients enrolled in a randomized controlled trial and treated with amlodipine 5-10 mg or nifedipine gastrointestinal therapeutic system (GITS) 30-60 mg once daily. Alcohol consumption was classified as non-drinkers and drinkers.

Molecular regulation and domestication of parthenocarpy in cucumber.

Parthenocarpy is a pivotal trait that enhances the yield and quality of fruit crops by enabling the development of seedless fruits. Here we unveil a molecular framework for the regulation and domestication of parthenocarpy in cucumber (Cucumis sativus L.).

ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions.

At present, the parameters of the controllers in hot rolling roughing microtension control systems are not adaptively adjustable to variations in working conditions, which compromises both width accuracy and production stability. To address this issue, this paper introduces an ATKB-PID adaptive micro tension control method. This method incorporates a linear attention layer and utilizes a K-Nearest Neighbors (KNN) algorithm to predict the optimal learning rate and inertia coefficient under actual operating conditions.

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments.

Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.

Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model.

Mine water influx is a significant geological hazard during mine development, influenced by various factors such as geological conditions, hydrology, climate, and mining techniques. This phenomenon is characterized by non-linearity and high complexity, leading to frequent water accidents in coal mines. These accidents not only impact coal production quality but also jeopardize the safety of mine staff.

Methane emissions from the Nord Stream subsea pipeline leaks.

The amount of methane released to the atmosphere from the Nord Stream subsea pipeline leaks remains uncertain, as reflected in a wide range of estimates. A lack of information regarding the temporal variation in atmospheric emissions has made it challenging to reconcile pipeline volumetric (bottom-up) estimates with measurement-based (top-down) estimates. Here we simulate pipeline rupture emission rates and integrate these with methane dissolution and sea-surface outgassing estimates to model the evolution of atmospheric emissions from the leaks.

Structural insights into RNA cleavage by PIWI Argonaute.

Argonaute proteins are categorized into AGO and PIWI clades. Across most animal species, AGO-clade proteins are widely expressed in various cell types, and regulate normal gene expression. By contrast, PIWI-clade proteins predominantly function during gametogenesis to suppress transposons and ensure fertility.

GZMK-expressing CD8 T cells promote recurrent airway inflammatory diseases.

Inflammatory diseases are often chronic and recurrent, and current treatments do not typically remove underlying disease drivers. T cells participate in a wide range of inflammatory diseases such as psoriasis, Crohn's disease, oesophagitis and multiple sclerosis, and clonally expanded antigen-specific T cells may contribute to disease chronicity and recurrence, in part by forming persistent pathogenic memory. Chronic rhinosinusitis and asthma are inflammatory airway diseases that often present as comorbidities.

Carbon emission of urban vehicles based on carbon emission factor correlation analysis.

The CO emission factor is the basis for analyzing vehicle CO emissions. This study establishes a correlation model between the fuel CO emission factor and the mileage-based CO emission factor using fuel consumption data, then analyzes the fuel consumption and CO emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO emissions.

Facial assessment methods for inhibiting glycation and aging effects and the correlation between glycation and aging parameters.

This study aimed to develop in vivo methods for assessing facial anti-glycation and anti-aging effects and to investigate the link between glycation and aging signs. We utilized an AGE reader to measure AGEs levels on the face and arms, establishing a correlation to validate the reader's use for facial AGEs detection. Then the product's 7-day anti-glycation effect was evaluated.

Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy.

The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance. This study introduces a hybrid strategy based on computational intelligence to determine the optimal conditions for ternary hybrid nanofluids.

Identification and correction of phase delay errors for hemispherical resonator gyroscopes.

The phase-delay error of the circuit system is the primary source of the output error observed in the hemispherical resonator gyroscope (HRG). Additionally, the temperature-dependent nature of the phase-delay error results in a deterioration of the initial calibration parameters, which, in turn, significantly impairs the performance of the gyroscope in its intended application. This paper proposes a self-calibration method to effectively suppress the impact of phase-delay error on the application performance of gyroscopes.

m6A-modified circSTX6 as a key regulator of cervical cancer malignancy via SPI1 and IL6/JAK2/STAT3 pathways.

In recent years, circRNAs have garnered increasing attention for their role in cervical cancer. However, the functions of many newly identified circRNAs remain unclear and require further exploration. In this study, we investigated the expression and oncogenic potential of the novel circRNA circSTX6 in cervical cancer.

A functional integral approach to magnon mediated plasmon friction.

In this paper, we discuss quantum friction in a system formed by two metallic surfaces separated by a ferromagnetic intermedium of a certain thickness. The internal degrees of freedom in the two metallic surfaces are assumed to be plasmons, while the excitations in the intermediate material are magnons, modeling plasmons coupled to magnons. During relative sliding, one surface moves uniformly parallel to the other, causing friction in the system.

HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023.

The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is essential for assessing vegetation's photosynthetic efficiency and ecosystem energy balance. While the MODIS FPAR product provides valuable global data, its reliability is compromised by noise, particularly under poor observation conditions like cloud cover. To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product.

Feature enhanced cascading attention network for lightweight image super-resolution.

Attention mechanisms have been introduced to exploit deep-level information for image restoration by capturing feature dependencies. However, existing attention mechanisms often have limited perceptual capabilities and are incompatible with low-power devices due to computational resource constraints. Therefore, we propose a feature enhanced cascading attention network (FECAN) that introduces a novel feature enhanced cascading attention (FECA) mechanism, consisting of enhanced shuffle attention (ESA) and multi-scale large separable kernel attention (MLSKA).

Study on the crack propagation morphology and initiation law of coal rock under the action of underwater electric pulse.

Based on the symmetric initiation mechanism of double-wing cracks in coal rock mass induced by high-pressure electro-recoil water pressure, fracturing experiments have been performed on coal rock mass under different water pressures and discharge conditions using high-voltage electric pulse hydraulic fracturing devices. Combined with CT scans, the crack spatial distribution inside the post-break coal rock mass was analyzed and found that the edge of the water injection hole is prone to produce double-wing cracks along the drilling hole diameter. ABAQUS is used to verify the physical test and extend the test conditions, the geometric parameter change, morphological expansion rule and crack initiation mechanism of double-wing crack in coal rock mass under different discharge conditions and ground stress conditions are studied.

Study on the effect of acid fracturing fluid on pore structure of middle to high rank coal.

Acid fracturing fluids can effectively improve the microporous structure of coal, thereby enhancing the permeability of coal seam and the efficiency of gas drainage. To explore the effects of acid fracturing fluids on the pore structure modification of coal samples from different coal ranks, hydrochloric acid-based acid fracturing fluids were prepared and used to soak four types of medium to high-rank coal in an experiment. High-pressure mercury intrusion and liquid nitrogen adsorption techniques results demonstrated that the acid fracturing fluid can effectively alter the pore structure of coal.

A theoretical investigation of spectroscopy properties and transition properties of TlBr cation.

The potential energy curves, dipole moments and transition dipole moments of the 14 Λ-S states and 30 Ω states of TlBr cation were performed using the multi-reference configuration interaction method. The Davidson correction and spin-orbit coupling effects were also considered. The spectroscopic properties and transition properties of TlBr cation were reported at the first time.

Research on the impact of land use and land cover changes on local meteorological conditions and surface ozone in the north China plain from 2001 to 2020.

Land use and land cover changes (LULCC) alter local surface attributes, thereby modifying energy balance and material exchanges, ultimately impacting meteorological parameters and air quality. The North China Plain (NCP) has undergone rapid urbanization in recent decades, leading to dramatic changes in land use and land cover. This study utilizes the 2020 land use and land cover data obtained from the MODIS satellite to replace the default 2001 data in the Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model.

Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints.

Addressing the issues of inadequate information exchange among subsequences in the operational time series of water injection pumps, leading to low accuracy and high false alarm rates in anomaly detection, this paper proposes a multidimensional time series anomaly detection method for water injection pump operations, leveraging Long Short-Term Memory Autoencoder augmented with Attention Mechanism (LSTMA-AE) and mechanistic constraints. The LSTMA-AE framework encompasses three primary modules: a Time Feature Extraction Module (Encoder), an Attention Layer, and a Data Reconstruction Module (Decoder). The Encoder captures temporal dependencies and features within the input sequences, mapping the input data into a higher-dimensional space.

Stability evaluation of tunnels in steeply dipping layered rock mass using numerical models: a case study.

Tunnel stability is a critical factor in complex geological conditions, particularly in rock masses with steeply dipping layers. Among widely used methods, the Convergence-Confinement Method (CCM), a prevalent two-dimensional (2D) approach, effectively captures the relaxation process preceding support installation. However, most studies focus on homogeneous or horizontally layered rock masses, often overlooking the influence of steeply dipping, and layered geological formations.

Influence of drilling incidence angle on the drilling force distribution of pneumatic impactor.

Pneumatic impactor is widely used in the drilling process of various medium and high hard rocks with poor drill ability. Currently, there is relatively little analysis on the impact of the inclination of the rock surface during the drilling process on the drilling efficiency and excavation capability of pneumatic impactors. Based on the dynamic theory of impact drilling and finite element method (FEM), the constitutive model of HJC criterion and INVENTOR 3D mechanical structure design software, a 3D numerical analysis system of piston-bit head-rock during pneumatic impactor drilling is established by ANSYS LS-DYNA, a nonlinear dynamic analysis software.

A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions.

Unmanned aerial vehicle (UAV) path planning is a constrained multi-objective optimization problem. With the increasing scale of UAV applications, finding an efficient and safe path in complex real-world environments is crucial. However, existing particle swarm optimization (PSO) algorithms struggle with these problems as they fail to consider UAV dynamics, resulting in many infeasible solutions and poor convergence to optimal solutions.