Targeting ABCD1-ACOX1-MET/IGF1R axis suppresses multiple myeloma.

Multiple myeloma (MM) remains an incurable hematological malignancy that necessitates the identification of novel therapeutic strategies. Here, we report that intracellular levels of very long chain fatty acids (VLCFAs) control the cytotoxicity of MM chemotherapeutic agents. Inhibition of VLCFA biosynthesis reduced cell death in MM cells caused by the proteasome inhibitor, bortezomib.

Study on the catalytic mechanism and water resistance of Cu-Mn-Sn catalyst for CO elimination.

CO in coal mine underground spaces can easily cause casualties among miners. The humidity in coal mines is relatively high, and traditional Cu-Mn catalysts are prone to deactivation. Compared to traditional Cu-Mn catalysts, doping with Sn enhances the activity and water resistance of Cu-Mn catalysts.

Dynamic characteristics and safe operation speed threshold of metro train passing through curved bridge considering resilient wheel.

To investigate the dynamic characteristics and safe operation speed threshold of metro train passing through curved bridge (CB) considering resilient wheels, the mechanical connection characteristics of rim and web are discussed firstly. Based on the train-track-bridge interaction theory, the coupled dynamic model of metro train-CB considering resilient wheels is established. Then, the vehicle-bridge coupled dynamic characteristics under the excitation of long-short wave track irregularity are researched.

Versatile nitrate-respiring heterotrophs are previously concealed contributors to sulfur cycle.

Heterotrophic denitrifiers play crucial roles in global carbon and nitrogen cycling. However, their inability to oxidize sulfide renders them vulnerable to this toxic molecule, which inhibits the key enzymatic reaction responsible for reducing nitrous oxide (NO), thereby raising greenhouse gas emissions. Here, we applied microcosm incubations, community-isotope-corrected DNA stable-isotope probing, and metagenomics to characterize a cohort of heterotrophic denitrifiers in estuarine sediments that thrive by coupling sulfur oxidation with denitrification through chemolithoheterotrophic metabolism.

Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration.

Purpose: Navigation and robotic systems aim to improve the accuracy and efficiency of percutaneous image-guided interventions, but the evaluation of their autonomy and integration of advanced imaging and artificial intelligence (AI) is lacking. The purpose of this study was to evaluate the level of automation and integration of advanced imaging and artificial intelligence in navigation and robotic systems for percutaneous image-guided interventions, using established and novel metrics to categorize and compare their capabilities.

Materials And Methods: Following PRISMA guidelines, a systematic review was conducted to identify studies on clinically validated navigation and robotic systems published between 2000 and May 2024.

Incorporating Transformation Products for an Integrated Assessment of Antibiotic Pollution and Risks in Surface Water.

The widespread presence of antibiotics in aquatic ecosystems is a global challenge, yet the occurrence and risks associated with their transformation products (TPs) remain poorly understood. This study investigated the occurrence and potential risks of antibiotics and their TPs in water along the Chaobai River in Beijing. We used high-resolution mass spectrometry and an integrated target, suspect, and nontarget screening approach to identify 21 parent antibiotics and 78 TPs among 90 water samples, with the majority from macrolides and sulfonamides.

Preparation, characterization, biological activity of 'Chuju' polysaccharides/chitosan and its application on the preservation of red grapes fruit.

In order to improve the preservation of red grape fruits, 'Chuju' polysaccharides (CCP) were cross-linked with chitosan (CS) to create CCP/CS composites with varying ratios. These composites were comprehensively characterized using FT-IR, C NMR, and SEM, which confirmed a smooth film surface and a uniform distribution of CCP. The composite films demonstrated efficacy in maintaining the quality of red grapes by mitigating shriveling and significantly reducing firmness loss by 22.

Coupled effects of initial water content with refrigeration temperature and freeze-thaw cycles on dewatering of sludge.

Many studies have displayed that freeze-thaw (F/T) conditioning is an environmentally friendly approach of improving sludge dewaterability. However, Initial water content (IWC) has a strong influence on the efficiency of the F/T method in conditioning sludge dewatering performance. Finding the most suitable F/T parameters for sludge with different IWCs is a critical issue that needs to be solved.

A critical review of microbial profiles in black and odorous waters.

Black and odorous waters (BOWs) are a serious environmental problem frequently reported over the past few decades. Microorganisms are identified as implementors of the black and odorous phenomenon, which play a crucial role in the decomposition and transformation of pollutants within the BOWs. However, the information on the role of microorganisms in BOWs remains elusive.

In-Situ Diagnostics of Multi-Thermal Fluid Injection Parameters Using Stray Radiation Suppression and Circular Cell-Enhanced Laser Absorption Spectroscopy.

Multithermal fluid (MTF) component ratios and injection parameters are critical inputs in offshore heavy oil development, such as injection adjustment and monitoring, productivity prediction, and generator combustion process optimization. We implement simultaneous in situ diagnostics of two emblematic injection parameters, the gas-water ratio (GWR) and noncondensable gases proportion (NCGP), in a pilot-scale environment. A system-level integration of a novel laser absorption spectroscopy multigas sensor system based on integrating stray radiation suppression and a circular cell-enhanced strategy is proposed.

U(VI) removal by zerovalent manganese modified corn straw biochar in acidic wastewater: Efficiency, characteristics and mechanism.

The chemical and radiological toxicity of uranium can present a significant risk to both human health and environmental safety. Thus, ZVMn-BC was synthesized through borohydride reduction aimed at investigating its performance in removing U(VI) in acidic environment (pH = 3). Several batch experiments were conducted to assess the sorption capability under various operational conditions and the relevant experimental data were investigated by kinetics, isotherms and thermodynamic equations.

The effect of sub-boiling temperatures on mass transfer from former manufactured gas plant residuals.

The dissolution of polycyclic aromatic hydrocarbons (PAHs) from coal tar at former manufactured gas plant (FMGP) sites is a long-term threat to groundwater quality. The dissolution rate is often limited by an increase in the viscosity of the non-aqueous phase liquid (NAPL) as the lower molecular weight compounds are depleted over time, and this slow mass transfer prevents the effective application of remediation technologies that rely on NAPL-to-water mass transfer to remove or degrade mass. Increasing subsurface temperatures has the potential to increase mass transfer at FMGP sites by increasing PAH solubility and reducing NAPL viscosity.

The Sikkim flood of October 2023: Drivers, causes and impacts of a multihazard cascade.

On 3 October 2023, a multihazard cascade in the Sikkim Himalaya, India, was triggered by 14.7 million m of frozen lateral moraine collapsing into South Lhonak Lake, generating an ~20 m tsunami-like impact wave, breaching the moraine, and draining ~50 million m of water. The ensuing Glacial Lake Outburst Flood (GLOF) eroded ~270 million m of sediment, which overwhelmed infrastructure, including hydropower installations along the Teesta River.

Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain.

Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. Therefore, the present study adopts a stochastic approach to reveal the distribution characteristics of soil moisture in agroecosystems under the effects of soil, climate, vegetation, and other influencing factors. Using soil moisture and precipitation data and based on a stochastic model of soil moisture dynamics, the point-scale soil moisture dynamic characteristics and soil moisture probability density function of farmland systems in the Songnen Plain region were investigated.

Water impact analysis due to coal-electricity generation using the life cycle assessment method: a case study in Malaysia.

Coal power plants adversely impact air pollution, but they also pose a risk to our water sources. Discharge wastewater from power plants may degrade the quality of nearby water bodies. This study evaluates the potential water-related environmental impacts of electricity generation at an ultra-supercritical coal power plant in Malaysia using the life cycle assessment method.

Removal of dissolved organic matter in road runoff with sludge-based filters from the drinking water treatment plant.

Road runoff underwent treatment using a filter filled with sludge from drinking water treatment plants to assess its capacity for removing dissolved organic matter (DOM). This evaluation utilized resin fractionation, gel permeation chromatography, three-dimensional excitation-emission matrix fluorescence spectroscopy, and UV-Visible spectroscopy. The filter demonstrated enhanced efficiency in removing dissolved organic carbon, achieving removal rates between 70 and 80%.

Application of the modified RIAM method in assessing the environmental impact of municipal solid waste management scenarios (A case study).

The rapid impact assessment matrix (RIAM) is a widely utilized tool for evaluating environmental impacts in municipal solid waste management. However, the traditional RIAM (T-RIAM) method includes ambiguities in its scoring classification, which can hinder decision-making accuracy. This study introduces a modified RIAM approach, enhancing classification precision by refining impact categories, making it particularly valuable for projects constrained by time and resources.

A shared value network model based on synergy theory in intelligent manufacturing.

With the in-depth development and integration of science and technology, intelligent manufacturing has gradually become a trend in the manufacturing industry. However, it is difficult for the traditional business model to maximize the use of resources. To address these problems, a shared value network model based on synergy theory is first proposed, which consists of three layers: resource network layer, value connection layer and resource coordination layer.

Study on the construction of multi-level protection system for non-emergency transfer under the perspective of structuring.

Introduction: The non-emergency transfer multi-level protection system is a pivotal livelihood endeavor in China, serving as a vital diversified component within the robust framework of a Chinese-style modern social security system. This system faces various challenges, including displacement of emergency capacity by non-emergency demands, uneven allocation of transfer resources, service quality variations, inadequate management structures, limited regulatory frameworks, and social acceptance issues.

Methods: Leveraging structural theory, this study analyzes the primary issues in the current implementation of China's non-emergency transfer security system.

Ambient air pollution and Alzheimer's disease and other dementias: a global study between 1990 and 2019.

Background: Emerging research found air pollution may be associated with incident Alzheimer's disease (AD) and other dementias. However, few studies have examined these associations at the global scale. This study aimed to assess the dynamic associations between ambient air pollution and the burden of AD and other dementias worldwide.

Effects of thermal aging on the performance of ordinary and novel superhydrophobic and oleophobic ultra-fine dry powder extinguishing agent.

Powder-based fire extinguishing agents have become a kind of promising substitutes for halon extinguishing agents in civil aircrafts. However, their storage lifespan, significantly influenced by the thermal aging, emerges as a crucial yet overlooked aspect for aviation use. This study investigates the effects of thermal aging cycles on various parameters of ordinary dry powder extinguishing agent (ODPEA) and novel superhydrophobic and oleophobic ultra-fine dry powder extinguishing agent (SHOU DPEA), including surface microscopic morphology, D90 (the diameter at which 90% of the cumulative volume of particles are equal to or smaller than this value), chemical structure, hydrophobic and oleophobic angles, flowability, extinguishing time and effectiveness.

A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention.

Air pollution is a critical global environmental issue, further exacerbated by rapid industrialization and urbanization. Accurate prediction of air pollutant concentrations is essential for effective pollution prevention and control measures. The complex nature of pollutant data is influenced by fluctuating meteorological conditions, diverse pollution sources, and propagation processes, underscores the crucial importance of the spatial and temporal feature extraction for accurately predicting air pollutant concentrations.

Time persistence of the fMRI resting-state functional brain networks.

Time persistence is a fundamental property of many complex physical and biological systems; thus understanding the phenomenon in the brain is of high importance. Time persistence has been explored at the level of stand-alone neural time-series, but since the brain functions as an interconnected network, it is essential to examine time persistence at the network level. Changes in resting-state networks have been previously investigated using both dynamic (i.