Researchers have updated V.PhyloMaker to incorporate two new botanical nomenclatures, generating more robust evolutionary trees. The new package retains The Plant List's botanical nomenclature while including the Leipzig Catalogue of Vascular Plants database and World Plants database.
A recent study reveals that the production of fish feed is the greatest contributor to greenhouse gas emissions in China's aquaculture industry. The research found that provinces such as Guangdong, Hubei, Jiangsu, and Shandong have the highest GHG emissions, accounting for approximately 46% of all emissions.
A study of teenage childbirth in Cote d'Ivoire found higher risks of complications for both mother and child. Adolescent girls were more likely to develop high blood pressure, contract infections, and undergo cesarean sections.
Researchers explored agri-food and environmental implications of Shanghai's pesticide use reduction policy, finding that imposing the policy at district level reduced crop acreage but alleviated pollution in water resources. The study suggests regional-level implementation can improve outcomes while maintaining food security.
A team of scientists has developed a novel computational approach to analyze DNA sequences of thousands of bacteria, revealing previously unknown gene clusters responsible for producing metabolites of interest. The study highlights the potential of these bacterial compounds in treating colon cancer and improving treatment options.
A team of researchers developed a new, fully biodegradable cellulose membrane that can effectively separate oil and water. The membrane is composed of 'all cellulose' material with improved mechanical properties, making it suitable for various applications in pollution treatment.
A study found that nearly 90% of areas studied had cancer-causing dioxins and PCBs in free-range eggs exceeding EU regulatory food limits. Eggs are a major pathway for human exposure to toxic chemicals, and contaminated sites include industrial waste incinerators and plastic burning sites.
Researchers have developed a copper-based metal-organic framework (Cu-MOF) to separate propane and ethane from methane, offering a promising alternative to traditional cryogenic distillation. The Cu-MOF exhibits high adsorption capacity and selectivity for C2-C3 hydrocarbons.
Research suggests that mothers-to-be on high-salt diets may increase their children's risk of developing hypertension and cardiovascular conditions. The study found that offspring exposed to a high-salt environment in utero had higher blood pressure and increased predisposition to hypertension, even after weaning.
Researchers used big data and machine learning methods to provide insight into equity valuation over the past two decades. However, a review by Professor Doron Nissim identified crucial areas that require more research attention.
A study by Thorsten Lehnert reveals that price noise from trading activities of mutual funds explains the success of 'bets against beta' strategies. These strategies, which involve taking short positions in assets with higher betas and long positions in those with lower betas, result in significant positive returns.
A new membrane stabilizes lithium electrodes by regulating the ion electrodeposition process, leading to improved battery performance. The study demonstrates a significant step towards developing safer and more efficient lithium metal batteries.
A new study published in China Economic Quarterly International found that the construction of China's national trunk highway system did not benefit all regions or enterprises along the route. County-level enterprises remained at the low end of the regional industrial value chain, despite improved connectivity and efficiency improvements.
Researchers have developed a compound that reduces pathogen virulence in rice without harming humans or the environment. This breakthrough has significant implications for combating bacterial pathogens in other crops.
A new process has been developed to remove radioactive barium ions from nuclear wastewater, achieving high adsorption capacity and fast equilibrium adsorption time. The adsorbent uses a sulfonic acid group and exhibits excellent capture ability for barium due to strong acid-base and electrostatic interactions.
A recent study found that yellow perch can expel microplastics from their bodies, but the process reduces nutritional value and alters liver function. The fish also experienced changes in gut microbiota communities and reduced body protein and mineral levels.
Researchers have developed a 3D, interconnected boron nitride network to improve thermal conductivity in lithium-ion batteries. The network increases the lifespan of batteries by reducing surface temperatures during charging and discharging.
A study found that natural disasters, such as floods, can lead to increased discrimination against women and other cultural changes in the affected region. The research also shows a preference for sons over daughters and lower female employment rates in the area.
Researchers propose a new treatment for fibrosis by inhibiting cell mechanical contractions, reducing stiffness and activating myofibroblast activity. The study suggests that (-)-blebbistatin can effectively reduce liver fibrosis in models in vivo.
Researchers develop liquid-gas absorption system to store thermal energy in chemical potential, achieving 33% greater energy storage density. The new method uses ionic liquids as absorbents, offering a promising solution for reducing carbon emissions from thermal energy.
Researchers have developed a new electrode material using a truncated-octahedral LiMn2O4 design to improve lithium adsorption capacity and cycle stability in low-energy conditions. This technology has the potential to address the global challenge of extracting sufficient lithium from brine sources.
A study published in The Journal of Finance and Data Science found that using machine learning to estimate reward and risk improves portfolio performance. Machine learning helps provide accurate estimates by taking advantage of complex non-linear relationships between market variables, outperforming linear methods.
Researchers developed GaN-based CMOS logic circuits that can reduce power consumption in power conversion systems by 20-30%. The technology offers improved thermal management and energy efficiency, making it suitable for high-performance applications like data centers and autonomous driving.
A new in situ coring and testing system developed by Prof. Heping Xie's team allows for the preservation of environmental conditions, enabling accurate analysis of morphology, liquids, gases, and microorganisms in deep rock samples. The system's accuracy is improved compared to traditional methods, opening up new possibilities for deep...
A recent study published in the KeAi journal found that commercial banks continue to view small merchant renewable energy projects as risky, despite the trend towards 'greening of banks'. Government banks in the Philippines were more open to providing credit to these developers, highlighting the need for innovative financing solutions.
Researchers have identified a potential novel mechanism of action against drug-resistant tuberculosis (TB) caused by mutations in the EmbR protein, which binds to transmembrane kinase PknH. This study proposes a new approach for computer-aided drug discovery and has important implications for treating other critical diseases.
A recent study published in Journal of Biosafety and Biosecurity suggests that the Omicron variant of SARS-CoV-2 may have evolved from a strain that infected mice. The research found mutations at five key sites in the viral protein, indicating adaptation to infect mouse cells.
A 2018 clinical trial found that patients with early-stage cervical cancer who underwent open surgery had higher progression-free survival rates than those who underwent minimally invasive surgery. Researchers now propose a series of steps to reevaluate the use of MIS in cervical cancer treatment.
A new 9-step blueprint has been developed to improve the use of genetics and breeding strategies in aquaculture species, aiming to strengthen food security and meet growing global demand for fish. The guidelines also aim to address concerns over fish stocks, mercury levels, and farmed fish nutritional value.
Researchers found that advanced paternal age and obesity are associated with lower implantation rates in couples experiencing unexplained recurrent pregnancy loss. The study analyzed nearly 800 couples who underwent IVF treatment, revealing a 12.6% increased risk of implantation failure for every one-unit increase in BMI.
A new method for generating formate has been developed, utilizing electrochemical anodic oxidation. The process produces high-quality formate with a selectivity of 96.4% and a partial current density of 285 mA·cm−2. This method is scalable, simple, and efficient, making it a promising candidate for large-scale industrial production.
Researchers found that three algorithms - Multilayer Perceptron, Fuzzy Cognitive Map, and Deep Neural Network - outperformed others in diagnosing COVID-19 at early stages. These findings can guide software development to create intelligence-based tools for early diagnosis.
Researchers link wu-wei, a practice of non-doing or non-striving, to improved focus and flow states in athletes. By adopting wu-wei, athletes can achieve extraordinary performance without feeling like they're exerting effort.
Researchers develop novel CO2 capture method utilizing sunlight and modified sawdust, offering a low-energy solution for carbon sequestration. The process involves heating the sawdust to regenerate the CO2 absorbent, minimizing energy consumption and environmental impact.
Researchers developed a communication-effective, divide and conquer algorithm to address computational challenges in large-scale data analysis. The algorithm combines summary statistics from subsystems using confidence distributions, balancing statistical accuracy and computational efficiency.
Researchers develop a 3D, self-supported electrode using hierarchical and honeycomb alloy that reduces overpotential in water splitting process. The alloy's fully-exposed active sites promote rapid electrochemical reactions, leading to efficient hydrogen production.
A recent study proposes a two-step plan to improve China's export competitiveness of its agricultural products. The study suggests focusing on traditional products with distinctive regional characteristics and taking comprehensive measures to enhance the international competitiveness of disadvantaged products.
A recent study published in The Journal of Finance and Data Science suggests that long-term returns are stable and easier to predict than short-term returns, which suffer from noise and 'look-ahead' bias. The study also found that larger training samples are required for optimal model performance
Research reveals AI recommendation tools can lead to a 'information cocoon' effect, where customers see only what they want to see, negatively impacting purchasing decisions. This phenomenon is particularly concerning in e-commerce, highlighting the need for consumers to take independent purchasing decisions.
Researchers have engineered E. coli to produce high levels of ectoine, a natural stabilizer of proteins and membranes, through metabolic engineering and fed-batch fermentation. This breakthrough increases efficiency and reduces the need for high-salinity culture mediums, paving the way for large-scale industrial production.
Current product standards in India's off-grid solar industry are creating barriers to the country's energy transition, according to a recent study. The variation in quality requirements and testing procedures is resulting in mistrust among consumers and increased costs for manufacturers.
A study in China finds that the country's tiered pricing reform has reduced residential electricity use by 6.5 kWh per household on a county-level basis, accounting for 6.1% of monthly usage prior to the reform. The policy change also shows promise as a tool for guiding residents to use electricity more efficiently.
A new NLP model developed by researchers at Harbin Institute of Technology achieves higher AUC scores than existing models. The Heterogeneous Graph-Based Sequential Multi-Grained Information Aggregation Framework (HGM-GIF) uses a combination of word-level, event-level, and sentence-level information to improve stock market predictions.
A study using machine-learning models trained on over 1 million companies reveals that AI can accurately predict the success of startups. The tool, developed by researchers, has the potential to help investors make informed decisions and avoid significant losses.
Researchers identified specific proteome features in COVID-19 patients' urine to distinguish between mild and severe cases. The study suggests that urine proteomics could be a valuable tool for early detection and prediction of COVID-19 progression.
Researchers found that higher bicarbonate concentrations increase energy efficiency in CO2 reduction, providing valuable insights into the electroreduction process. The study suggests a new pathway to mitigate the greenhouse effect by leveraging bicarbonate electrolytes.
Researchers used social media posts to predict COVID-19 case counts, achieving correlation rates of up to 0.98 and improving on existing Google Flu Trends algorithm results. The study provides a highly-adaptive approach for feature engineering in epidemic prediction.
A recent review suggests that normobaric hypoxia, simulated altitude environments, can reduce the risk of high-altitude illnesses and improve exercise performance. Pre-acclimatisation strategies using low-oxygen tents or rooms are considered effective tools for prevention and treatment.
Researchers developed nitrogen-doped fluorescent carbon dots for multi-mechanism detection of iodide ion and curcumin in complex biological and food samples. The NCDs showed remarkable sensitivity, low detection limit, and good selectivity, making them a promising prospect for biosensing and disease diagnosis.
Research in China found that air pollution decreases monthly wages by 4% for inmates, with sensitivity varying by age and education. The study highlights the importance of addressing blue-collar workers' exposure to poor air quality for optimal environmental policy design.