Article
Environmental Sciences
Die Dong, Haoyu Sun, Zhengliang Qi, Xinli Liu
Summary: This study investigated the use of purple non-sulfur bacteria (PNSB) for the bioremediation of aquacultural wastewater, and proposed an effective strategy to remove ammonia and phosphate efficiently. The results demonstrated that, with optimized nutrient ratios, the bacteria were able to effectively reduce the levels of COD, TN, TP, and NH4+-N in the wastewater, suggesting a promising approach for improving bioremediation efficiency in various types of aquaculture wastewater.
Article
Agriculture, Multidisciplinary
Zhiyan Jiang, Liwen Qu, Gaopeng Song, Jie Liu, Guohua Zhong
Summary: In this study, a novel Mn2+-dependent esterase PchA was identified from Pseudomonas sp. PS21, which efficiently hydrolyzes carbamate pesticides with aromatic structures. The hydrolytic activity was found to be closely related to the core catalytic domain consisting of six residues. The crucial residues stabilized the position of carbaryl via chelating Mn2+ and additional hydrophobic interactions. Glu398 residue acted as a general base, activating a water molecule for PchA catalysis. This research provides valuable insights into the binding interaction and hydrolytic mechanism of carbaryl with the hydrolase PchA, and is crucial for designing strategies to degrade related contaminants.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2022)
Article
Food Science & Technology
Longhan Wei, Sheng Wang, Fengying Zhang, Yupei Fan, Yanfang Liao, Bingquan Liao, Wenjun Wang, Jin Tu, Jianhui Xiao, Guoqiang Wu, Zedong Zhang
Summary: The potential of lipase in decolorizing molasses wastewater was investigated in this study, and it was found that Lecitase Ultra lipase achieved the highest decolorization yield among all the enzymes analyzed. It can be applied on a larger industrial scale compared to cutinases and keratinases. By combining immobilization technology and deep eutectic solvent, the immobilized Lecitase Ultra exhibited excellent enzymatic properties and achieved the highest decolorization yield among all the immobilized enzymes. These findings provide a reliable approach for the decolorization of molasses wastewater.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Yuling Qu, Anping Su, Ying Li, Yonghong Meng, Zhi Chen
Summary: By deleting the photosynthetic gene cluster repressor and overexpressing the activator, the lycopene production of Rhodobacter sphaeroides was significantly increased, especially under high oxygen conditions.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Article
Environmental Sciences
A. Amala Lourthuraj, Mohammad Rafe Hatshan, Dina S. Hussein
Summary: This study aimed to identify pesticide degrading bacteria and localize organophosphate hydrolase activity. Results showed that two bacteria isolated from contaminated samples were able to efficiently remove chlorpyrifos and utilize pesticides as a source of carbon and energy.
ENVIRONMENTAL RESEARCH
(2022)
Article
Engineering, Environmental
Matheus S. Kronka, Guilherme V. Fortunato, Leticia Mira, Alexsandro J. Dos Santos, Marcos R. V. Lanza
Summary: In this study, a highly efficient catalyst for H2O2 production was designed using gold nanoparticles anchored on a hybrid substrate composed of ZrO2 and Printex L6 carbon. The catalyst exhibited higher selectivity and activity compared to other catalysts, making it suitable for H2O2 electrogeneration and the removal of Carbaryl (CBR).
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Espen Hagen, Anna R. Chambers, Gaute T. Einevoll, Klas H. Pettersen, Rune Enger, Alexander J. Stasik
Summary: This study introduces a novel artificial intelligence method for detecting hippocampal sharp wave ripples, which outperforms traditional feature extraction methods, showing higher accuracy. The proposed algorithm is open source and easily integrated into existing data analysis workflows.
Article
Agricultural Engineering
Fengting Qu, Hanpeng Cheng, Ziyi Han, Zimin Wei, Caihong Song
Summary: The study aimed to understand the factors influencing the abundance of lignocellulose degrading enzyme genes during rice straw composting. Two strains, b4 (Bacillus subtilis) and z1 (Aspergillus fumigatus), were inoculated and three composting groups were established. Inoculation increased the abundance of lignocellulose degrading enzyme genes, promoting lignocellulose decomposition. Modular microorganisms, including Actinobacteria, Proteobacteria, Ascomycetes, and Basidiomycetes, were identified as driving factors influencing gene abundance. pH, organic matter, and soluble sugar content affected gene abundance by influencing the modular microorganisms. A potential priming effect was suggested based on these driving factors. This study provides theoretical guidance for enhancing lignocellulose degradation by regulating the abundance of lignocellulose degrading enzyme genes.
BIORESOURCE TECHNOLOGY
(2023)
Article
Plant Sciences
Naoki Shinohara, Kazuhiko Nishitani
Summary: This study reveals that the non-plant origin of the XTH family is from ExoKs in Alphaproteobacteria, not licheninases in Firmicutes as previously believed, with the relevant HGT event traced back to the Cryogenian geological period, supporting the adaptation of plants and fungi to the ancient icy environment.
PLANT AND CELL PHYSIOLOGY
(2021)
Article
Engineering, Environmental
Ling-Dong Shi, Xiyang Dong, Zongbao Liu, Yuchun Yang, Jih-Gaw Lin, Meng Li, Ji-Dong Gu, Li-Zhong Zhu, He-Ping Zhao
Summary: The diversity of both microorganisms and viruses in activated sludge of wastewater treatment plants plays a crucial role in controlling microbial dynamics and metabolisms. This study reveals the presence of unknown viral genera in activated sludge, indicating an unexplored reservoir for new viruses and viral diversity. The study also shows that viruses can enhance the performance of activated sludge by encoding auxiliary metabolic genes (AMGs) involved in biodegradation, but can also facilitate the spread of antibiotic resistance genes (ARGs) among microorganisms. Overall, this study highlights the mixed blessing of viruses in wastewater treatment plants and their impact on biochemical processes.
Article
Microbiology
Shijie Liu, Zhifeng Fang, Hongchao Wang, Qixiao Zhai, Feng Hang, Jianxin Zhao, Hao Zhang, Wenwei Lu, Wei Chen
Summary: This study conducted a large gene-phenotype correlation analysis to explore the metabolic and genetic diversity of bifidobacterial carbohydrate utilization abilities. The findings revealed species-specific differences in carbohydrate utilization among different Bifidobacterium species. This research is valuable in developing prebiotics for promoting the growth of probiotics, particularly Bifidobacterium species.
Article
Pharmacology & Pharmacy
Xixi Chen, Xurui Zuo, Yingqiang Zhao, Yuhong Huang, Chunxiao Lv
Summary: The study aimed to elucidate the interaction between Compound Danshen dripping pill (CDDP) and warfarin in individuals with the EPHX1 A/A genotype. Results showed that the combination of CDDP and warfarin decreased the expression of mEH and VKOR and increased the expression of FII, FVII, FIX, and FX in EPHX1 A cells. CDDP had a slight influence on the pharmacokinetics/pharmacodynamics of warfarin in healthy volunteers with the EPHX1 A/A genotype.
FRONTIERS IN PHARMACOLOGY
(2023)
Review
Environmental Sciences
Qidong Yin, Yuepeng Sun, Bo Li, Zhaolu Feng, Guangxue Wu
Summary: Understanding the characteristics of functional organisms is crucial for wastewater treatment. This review systematically characterized two types of strategists in wastewater treatment ecosystems and provided novel strategies for selectively enriching microbial community. The selection of r-/K-strategists depends on factors such as food-to-microorganism ratio, mass transfer, cell size, and biomass morphology. Practical applications include the concept of substrate flux for selective enrichment of r-/K-strategists.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biochemistry & Molecular Biology
Na Ra Shin, Daniel Doucet, Yannick Pauchet
Summary: The evolution of GH5_2 cellulases in Cerambycidae (longhorned beetles) has been shaped by gene duplication and horizontal gene transfer (HGT). These digestive enzymes have contributed to the ability of these beetles to feed on a plant cell wall-rich diet. Ancestral gene duplications led to distinct groups of enzymes with different substrate specificities, allowing the beetles to break down various polysaccharides. Recent gene duplications have further expanded the catalytic repertoire of these enzymes.
MOLECULAR BIOLOGY AND EVOLUTION
(2022)
Article
Microbiology
Emna Grami, Imen Laadouze, Saoussen Ben Tiba, Amor Hafiane, Kathleen Sullivan Sealey, Neila Saidi
Summary: Pantoea bacteria cause infections and environmental pollution. A novel bacteriophage, vB_Pd_C23, was isolated from Tunisian wastewater and infects P. dispersa. It has a unique genome and exhibits novel viral genes, suggesting it belongs to a new genus within the Caudoviricetes Class. The characteristics of this phage are distinct from any previously recognized genera by the ICTV.
CURRENT MICROBIOLOGY
(2023)
Article
Economics
Yi He, Yanxi Hou, Liang Peng, Jiliang Sheng
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2019)
Article
Environmental Sciences
Pan Wu, WenTao Mo, Zhaobo Chen, Yanling Wang, Yubo Cui, Ying Zhang, Yantao Song, Liming Jin, Yanxi Hou, Feifei Zhu, Bo Cao, Ning Li
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2019)
Article
Economics
Yanxi Hou, Xing Wang
INSURANCE MATHEMATICS & ECONOMICS
(2019)
Article
Mathematics, Applied
Yanxi Hou, Deyuan Li, Aiai Liu, Liang Peng
SCIENCE CHINA-MATHEMATICS
(2020)
Article
Statistics & Probability
Yanxi Hou, Xing Wang
Summary: This article focuses on tail risk analysis and the measurement of tail risk variability, extending Gini's methodology and exploring the influences on the limit of proposed tail variability measures using extreme value techniques.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2021)
Article
Materials Science, Multidisciplinary
Rongzheng Xu, Zhicheng Wei, Jianbo Jiang, Yanxi Hou, Hui Li, Shenglin Cui
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS
(2020)
Retraction
Environmental Sciences
Pan Wu, Zhaobo Chen, Ying Zhang, Yanling Wang, Feifei Zhu, Bo Cao, Liming Jin, Yanxi Hou, Yuan Wu, Ning Li
Article
Economics
Wen Xu, Yanxi Hou, Deyuan Li
Summary: This article studies the estimation of extremal conditional expectile using quantile regression and expectile regression models. Three extrapolation methods are proposed based on a second-order condition for a framework of conditionally heteroscedastic and unconditionally homoscedastic extremes. The asymptotic properties of the proposed methods are established, and their empirical behaviors are demonstrated through simulation studies. Data analysis is conducted to illustrate the applications of the proposed methods in real problems.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2022)
Article
Statistics & Probability
Yi He, Yanxi Hou, Liang Peng, Haipeng Shen
ANNALS OF STATISTICS
(2020)
Retraction
Environmental Sciences
Pan Wu, Wen Tao Mo, Zhaobo Chen, Yanling Wang, Yubo Cui, Ying Zhang, Yantao Song, Liming Jin, Yanxi Hou, Feifei Zhu, Bo Cao, Ning Li
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Article
Economics
Yanxi Hou
Summary: In actuarial practice, modern statistical methodologies are essential for addressing real actuarial problems, particularly the complex data structure of claim data. This article introduces a new two-stage composite quantile regression model for predicting the value-at-risks of aggregate insurance losses.
INSURANCE MATHEMATICS & ECONOMICS
(2022)
Article
Economics
Yanxi Hou, Seul Ki Kang, Chia Chun Lo, Liang Peng
Summary: This paper proposes an efficient three-step procedure to deal with the semicontinuous property of insurance claim data and forecast extreme risk. The procedure combines logistic regression, quantile regression, and generalized Pareto distribution fitting to achieve accurate risk forecasting. The uncertainty of the derived risk forecast is quantified using a random weighted bootstrap method.
INSURANCE MATHEMATICS & ECONOMICS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Sixiao Zheng, Yanwei Fu, Yanxi Hou
Summary: This paper introduces the task of Incrementally Zero-Shot Detection (IZSD) and proposes an end-to-end model IZSD-EVer to tackle this task. Experimental results demonstrate the efficacy of the model in detecting objects from both seen and unseen classes, surpassing alternative models.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
(2021)
Article
Nanoscience & Nanotechnology
Hui Li, Rongzheng Xu, Yanxi Hou, Shenglin Cui, Zhicheng Wei
REVIEWS ON ADVANCED MATERIALS SCIENCE
(2019)
