The X-Press Pearl disaster underscores gross neglect in the environmental management of shipping: Review of future data needs.

The X-Press Pearl disaster has the unfortunate hallmarks of other global container ship disasters that are becoming increasingly common and will continue to cause future environmental damage. Port container throughput is ~830 million twenty-foot equivalents (TEUs), projected to grow for the next four decades at minimum, and industry experts predict that ship sizes will continue to grow to 50,000 TEU. Misdeclared content, poor packing, inadequate stowage/lashing, ship-board fires, climate-change-driven intensity of storms, and increasing ship size all ensure increasing environmental damage from container ship maritime disasters.

Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model.

The initial emission rights allocation is the key measure to achieve the goal of total amount control and deepen the emission trading system. Although many studies have focused on the modeling of initial emission rights allocation, such as using game theory and multi-objective optimization methods, few studies have observed the hierarchical relationship of mutual interference and restriction between watershed management agency and local governments in each subarea during allocation. This relationship directly affects the rationality of the results of regional emission rights allocation.

Interval two-stage stochastic programming model under uncertainty for planning emission rights trading in the Yellow River basin of China.

As a critical way to realize the optimal allocation of water environment capacity resources in the basin, emission rights trading faces multiple uncertainties, making it extremely hard and challenging to formulate appropriate decisions and plans. Therefore, this study uses interval two-stage stochastic programming (ITSP) method to model the emission rights trading process with multiple uncertainties. It can promote the secondary optimal allocation of the emission rights between the demander and the supplier after the initial allocation.

Constructing Mechanical Shuttles in a Three-dimensional (3D) Porous Architecture for Selective Transport of Lithium Ions.

Lithium (Li) extraction from brines is a major barrier to the sustainable development of batteries and alloys; however, current separation technology suffers from a trade-off between ion selectivity and permeability. Herein, a crown ether mechanically interlocked 3D porous organic framework (Crown-POF) was prepared as the porous filler of thin-film nanocomposite membranes. Crown-POF with penta-coordinated (four O atoms and one N atom) adsorption sites enables a special recognition for Li ion.

Effect of GR24 concentrations on tetracycline and nutrient removal from biogas slurry by different microalgae-based technologies.

A biogas slurry composed of carbon, nitrogen, phosphorus, and antibiotics was generated. Investigations into the nutrient and tetracycline removal performance of four microalgae-based contaminant removal technologies, including Chlorella vulgaris, C. vulgaris co-cultured with endophytic bacteria, C.

Axial resolution and imaging contrast enhancement in inverted light-sheet microscopy by natural illumination modulation.

Inverted light-sheet microscopy (ILSM) is widely employed for fast large-volume imaging of biological tissue. However, the scattering especially in an uncleared sample, and the divergent propagation of the illumination beam lead to a trade-off between axial resolution and imaging depth. Herein, we propose naturally modulated ILSM (NM-ILSM) as a technique to improve axial resolution while simultaneously maintaining the wide field-of-view (FOV), and enhancing imaging contrast background suppression.

Pricing model of agricultural water rights trading in water-shortage region, China.

Water rights trading is an effective way to promote the redistribution of agricultural water saving within and among water-shortage regions. Reasonable transfer price can not only improve the income of farmers and irrigation areas, but also improve the efficiency of agricultural water use. However, the trading across industries or regions will diminish the ecosystem service value of arable land, and negatively impacts irrigation areas.

Environmental sustainability analysis of dairy bedding regeneration system based on emergy evaluation and life cycle assessment methods.

Dairy farm bedding can be produced by composting technology using dairy manure, which offers advantages in terms of cost, availability, and economic value. However, few information is available on the environmental sustainability and impacts for manure recycling systems based on different composting methods. The resource-environmental impact and eco-economic sustainability of two manure bedding regeneration systems: forced-ventilation static-stack aerobic fermentation (FVSSAF) system (Scenario A) and bedding recovery unit (BRU) system (Scenario B) were evaluated in this study.

Psychological health correlation of express delivery workers' occupational stress in the information logistics environment.

With the promotion of the Internet of Things technology, more and more industries have begun to combine with the Internet of Things technology. After joining the WTO, China's market economy has continued to deepen. During this period, the e-commerce industry has developed rapidly, which has promoted the rise of the express delivery industry.

Limb Remote Ischemic Conditioning Promotes Neurogenesis after Cerebral Ischemia by Modulating miR-449b/Notch1 Pathway in Mice.

Neurogenesis plays an important role in the prognosis of stroke patients and is known to be promoted by the activation of the Notch1 signaling pathway. Studies on the airway epithelium have shown that miR-449b represses the Notch pathway. The study aimed to investigate whether limb remote ischemic conditioning (LRIC) was able to promote neurogenesis in cerebral ischemic mice, and to investigate the role of the miR-449b/Notch1 pathway in LRIC-induced neuroprotection.

Microporous polymer adsorptive membranes with high processing capacity for molecular separation.

Trade-off between permeability and nanometer-level selectivity is an inherent shortcoming of membrane-based separation of molecules, while most highly porous materials with high adsorption capacity lack solution processability and stability for achieving adsorption-based molecule separation. We hereby report a hydrophilic amidoxime modified polymer of intrinsic microporosity (AOPIM-1) as a membrane adsorption material to selectively adsorb and separate small organic molecules from water with ultrahigh processing capacity. The membrane adsorption capacity for Rhodamine B reaches 26.

Impacts of urbanization at city cluster scale on ecosystem services along an urban-rural gradient: a case study of Central Yunnan City Cluster, China.

Urban agglomeration will be the main mode of future urbanization in China, greatly influencing social and economic development and ecosystem protection at the whole city cluster scale. It is important to analyze the impacts of large-scale, scattered land use and cover change (LUCC) consisting of one-pole-multi-point urbanization in city clusters on regional ecosystem services (ESs), so as to increase ecological security and maintain ES levels. Using the urban-rural gradient analysis method (UGAM), this study examined driver-response mechanisms of large-scale, scattered agglomeration urbanization on ESs along an urban-rural gradient and at a regional scale.

Preparation of the Carbonized Zif-8@PAN Nanofiber Membrane for Cadmium Ion Adsorption.

The zeolitic imidazolate framework (ZIF-8)@polyacrylonitrile (PAN) nanofiber membrane was prepared and carbonized for heavy metal cadmium ion (Cd) adsorption in aqueous medium. Zinc oxide (ZnO) was first sputtered onto the surface of the PAN electrospun nanofiber membrane to provide a metal ion source. Then, the ZIF-8@PAN nanofiber membrane was prepared via in situ solvothermal reaction and carbonized in a tube furnace at 900 °C under a N atmosphere to enhance adsorption performance.

Fabrication of Mn-Doped SrTiO/Carbon Fiber with Oxygen Vacancy for Enhanced Photocatalytic Hydrogen Evolution.

With carbon fiber, it is difficult to load semiconductor photocatalysts and easy to shed off thanks to its smooth surface and few active groups, which has always been a problem in the synthesis of photocatalysts. In the study, SrTiO nanoparticles were loaded onto the Tencel fibers using the solvothermal method, and then the Tencel fibers were carbonized at a high temperature under the condition of inert gas to form carbon fibers, thus SrTiO@CF photocatalytic composite materials with solid core shell structure were prepared. Meanwhile, Mn ions were added into the SrTiO precursor reagent in the solvothermal experiment to prepare Mn-doped Mn-SrTiO@CF photocatalytic composite material.

Cation-selective two-dimensional polyimine membranes for high-performance osmotic energy conversion.

Two-dimensional (2D) membranes are emerging candidates for osmotic energy conversion. However, the trade-off between ion selectivity and conductivity remains the key bottleneck. Here we demonstrate a fully crystalline imine-based 2D polymer (2DPI) membrane capable of combining excellent ionic conductivity and high selectivity for osmotic energy conversion.

Associations of Serum Biomarkers of Fruit and Vegetable Intake With the Risk of Cause-Specific Mortality and All-Cause Mortality: A National Prospective Cohort Study.

Objective: The purpose of this study was to evaluate the associations of serum biomarkers of fruit and vegetable intake (vitamin C and carotenoids) with cause-specific mortality and all-cause mortality in a nationally representative sample of US adults.

Methods: We analyzed data from 12,530 participants from the National Health and Nutrition Examination Survey III (1988-1994). The Cox proportional hazards models with restricted cubic spline were used for the analysis.

Engineering the Non-Radiative Recombination of Mixed-Halide Perovskites with Optimal Bandgap for Indoor Photovoltaics.

Indoor photovoltaics have attracted increasing attention, since they can provide sustainable energy through the recycling of photon energy from household dim lighting. However, solar cells exhibiting high performance under sunlight may not perform well under indoor light conditions, mainly due to the mismatch of the irradiance spectrum. In particular, most of the indoor light sources emit visible photons with negligible near-infrared irradiance.

Intelligent monitoring method of tridimensional storage system based on deep learning.

Growing international trade requires more flexible warehouse management to match it. In order to achieve more effective warehouse management efficiency, a shelf status-detection method based on deep learning is proposed. Firstly, the image acquisition of a multi-level shelf containing multiple bays is performed under different time and lighting conditions.

Biodiversity and yield trade-offs for organic farming.

Organic farming supports higher biodiversity than conventional farming, but at the cost of lower yields. We conducted a meta-analysis quantifying the trade-off between biodiversity and yield, comparing conventional and organic farming. We developed a compatibility index to assess whether biodiversity gains from organic farming exceed yield losses, and a substitution index to assess whether organic farming would increase biodiversity in an area if maintaining total production under organic farming would require cultivating more land at the expense of nature.

Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery.

The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged.

Intravenous iron for the treatment of iron deficiency anemia in China: a patient-level simulation model and cost-utility analysis comparing ferric derisomaltose with iron sucrose.

Objectives: Two intravenous (IV) iron formulations, ferric derisomaltose (FDI) and iron sucrose (IS), are currently available for the treatment of iron deficiency anemia (IDA) in China. Clinical studies have demonstrated that FDI has an improved efficacy and safety profile versus IS, while requiring fewer infusions to correct iron deficits. Based on these findings, the present study evaluated the costs and benefits of FDI and IS for the treatment of IDA, from a healthcare system and societal perspective in China.

Wastewater surveillance for 168 pharmaceuticals and metabolites in a WWTP: Occurrence, temporal variations and feasibility of metabolic biomarkers for intake estimation.

Wastewater-based epidemiology (WBE) is amply used for mining information about public health such as the estimation of consumption/intake of certain substances. Yet, proper biomarker selection is critical to obtain reliable data. This study measured a broad range of pharmaceuticals and metabolites in a wastewater treatment plant in Beijing, China, and evaluated their suitability as consumption estimation biomarkers.

Trade-offs between economic development and biodiversity conservation on a tropical island.

Resolving trade-offs between economic development and biodiversity conservation needs is one of the defining issues of our time. This is crucial in currently developing countries and in particularly sensitive systems harboring high biodiversity. Yet, such a task can be challenging as human activities may have complex effects on biodiversity.

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

Artificial intelligence provides a promising solution for streamlining COVID-19 diagnoses; however, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable challenge for training a well-generalized model in clinical practices. To address this, we launch the Unified CT-COVID AI Diagnostic Initiative (UCADI), where the artificial intelligence (AI) model can be distributedly trained and independently executed at each host institution under a federated learning framework without data sharing. Here we show that our federated learning framework model considerably outperformed all of the local models (with a test sensitivity/specificity of 0.