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Article ; Online: Impact of Climate Change and Human Activities to Runoff in the Du River Basin of the Qinling-Daba Mountains, China

Xiaoying Zhang / Yi He

Remote Sensing, Vol 15, Iss 21, p

2023 Volume 5178

Abstract: The hydrological response to climate change and human activities plays a pivotal role in the field of water resource management within a given basin. This study was conducted with a primary focus on the Du River basin, aiming to assess and quantify the ... ...

Abstract	The hydrological response to climate change and human activities plays a pivotal role in the field of water resource management within a given basin. This study was conducted with a primary focus on the Du River basin, aiming to assess and quantify the impacts of climate change and human activities on changes in runoff patterns. The study utilized the Budyko framework in conjunction with the Soil and Water Assessment Tool (SWAT) model to project future changes in runoff while also employing statistical tests like the Pettitt and Mann–Kendall tests to identify abrupt shifts and monotonic trends in the data. The results shows that (1) The analysis of runoff data spanning from 1960 to 2016 revealed a significant declining trend ( p < 0.05) in annual runoff, with an abrupt change point identified in 1994. The multi-year average runoff depth was determined to be 495 mm. (2) According to the Budyko framework, human activities were found to be the dominant driver behind runoff changes, contributing significantly at 74.42%, with precipitation changes contributing 24.81%. (3) The results obtained through the SWAT model simulation indicate that human activities accounted for 61.76% of the observed runoff changes, whereas climate change played a significant but slightly smaller role, contributing 38.24% to these changes. (4) With constant climate conditions considered, the study predicted that runoff will continue to decrease from 2017 to 2030 due to the influence of ongoing and future human activities. However, this downward trend was found to be statistically insignificant ( p > 0.1). These findings provide valuable insights into the quantitative contributions of climate change and human activities to runoff changes in the Du River basin. This information is crucial for decision-makers and water resource managers, as it equips them with the necessary knowledge to develop effective and sustainable strategies for water resource management within this basin.
Keywords	Budyko framework ; climate change ; Du River basin ; human activities ; PLUS model ; runoff ; Science ; Q
Subject code	550
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Allosterism in the PDZ Family

Amy O. Stevens / Yi He

International Journal of Molecular Sciences, Vol 23, Iss 1454, p

2022 Volume 1454

Abstract: Dynamic allosterism allows the propagation of signal throughout a protein. The PDZ (PSD-95/Dlg1/ZO-1) family has been named as a classic example of dynamic allostery in small modular domains. While the PDZ family consists of more than 200 domains, ... ...

Abstract	Dynamic allosterism allows the propagation of signal throughout a protein. The PDZ (PSD-95/Dlg1/ZO-1) family has been named as a classic example of dynamic allostery in small modular domains. While the PDZ family consists of more than 200 domains, previous efforts have primarily focused on a few well-studied PDZ domains, including PTP-BL PDZ2, PSD-95 PDZ3, and Par6 PDZ. Taken together, experimental and computational studies have identified regions of these domains that are dynamically coupled to ligand binding. These regions include the αA helix, the αB lower-loop, and the αC helix. In this review, we summarize the specific residues on the αA helix, the αB lower-loop, and the αC helix of PTP-BL PDZ2, PSD-95 PDZ3, and Par6 PDZ that have been identified as participants in dynamic allostery by either experimental or computational approaches. This review can serve as an index for researchers to look back on the previously identified allostery in the PDZ family. Interestingly, our summary of previous work reveals clear consistencies between the domains. While the PDZ family has a low sequence identity, we show that some of the most consistently identified allosteric residues within PTP-BL PDZ2 and PSD-95 PDZ3 domains are evolutionarily conserved. These residues include A46/A347, V61/V362, and L66/L367 on PTP-BL PDZ2 and PSD-95 PDZ3, respectively. Finally, we expose a need for future work to explore dynamic allostery within (1) PDZ domains with multiple binding partners and (2) multidomain constructs containing a PDZ domain.
Keywords	PDZ domain ; allosterism ; dynamic allostery ; key residues ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	572
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data

Lixin Yan / Le Jia / Shan Lu / Liqun Peng / Yi He

IET Intelligent Transport Systems, Vol 18, Iss 1, Pp 186-

2024 Volume 202

Abstract: Abstract In the context of automated driving, the connected and automated vehicles (CAVs) technology unlock the energy saving potential. This paper develops an LSTM‐based deep learning framework for eco‐driving adaptive identification on Intelligent ... ...

Abstract	Abstract In the context of automated driving, the connected and automated vehicles (CAVs) technology unlock the energy saving potential. This paper develops an LSTM‐based deep learning framework for eco‐driving adaptive identification on Intelligent vehicle multivariate time series data. The framework can be adapted for Driver Assistance Systems (DAS) to reduce fuel consumption. Specifically, considering overtaking on rural road is a critical maneuver for operation and has potential to reduce consumption, a simulated driving experiment with 30 participants was conducted to collect the multivariate time series data of the overtaking operation behaviors in conditional automation driving. Driving behaviors were classified into eco‐driving operation behaviors and high fuel consumption operation behaviors based on fuel consumption calculated by using vehicle specific power (VSP). Significance analysis based on linear regression was adopted to identify operation behaviors, and an eco‐driving behavior identification model was established with the use of long short‐term memory (LSTM) for multivariate classification theory. Meanwhile, the other four classification algorithms were used to establish identification models for comparison. The results indicated that the gear position, lane position, the acceleration pedal depth, the clutch pedal depth, and the brake pedal depth had a significant influence on fuel consumption. The eco‐driving behavior identification model of overtaking demonstrated a high classification power and robustness with a classification accuracy of 89.16%. According to the simulation results, the developed adaptive identification model is with promising performance. The conclusions provide theoretical support for developing an adaptive strategy for connected eco‐driving.
Keywords	classification model ; eco‐driving ; driving behavior ; deep learning ; multivariate time series ; Transportation engineering ; TA1001-1280 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Correlation of neonatal pulmonary surfactant protein A gene polymorphism with pneumonia susceptibility and inflammatory response

Yi He

Journal of Hainan Medical University, Vol 23, Iss 12, Pp 87-

2017 Volume 90

Abstract: Objective: To study the correlation of neonatal pulmonary surfactant protein A gene polymorphism with pneumonia susceptibility and inflammatory response. Methods: Neonates who were born and diagnosed with pneumonia in Zigong Maternity and Child ... ...

Abstract	Objective: To study the correlation of neonatal pulmonary surfactant protein A gene polymorphism with pneumonia susceptibility and inflammatory response. Methods: Neonates who were born and diagnosed with pneumonia in Zigong Maternity and Child Healthcare Hospital between September 2015 and February 2017 were selected as pneumonia group, and neonates without infection were selected as control group. SP-A gene rs1059054 and rs1136454 loci polymorphism, the contents of inflammatory cytokines in serum as well as the expression of inflammatory transcription factors in peripheral blood were determined. Results: The constituent ratio of rs1059054 loci CC genotype of pneumonia group was significantly higher than that of control group while the constituent ratio of CT and TT genotypes were significantly lower than those of control group; the constituent ratio of rs1136454 loci AA genotype was significantly lower than that of control group while the constituent ratio of AG and GG genotypes were significantly higher than those of control group. PCT, sTREM1, TNF-α and IL-6 levels in serum as well as RORγt mRNA expression in peripheral blood of pneumonia children with SP-A gene rs1059054 loci CC genotype were significantly higher than those of pneumonia children with CT genotype and TT genotype while SOCS1 and Foxp3 mRNA expression in peripheral blood were significantly lower than those of pneumonia children with CT genotype and TT genotype; PCT, sTREM1, TNF-α and IL-6 levels in serum as well as RORγt mRNA expression in peripheral blood of pneumonia children with SP-A gene rs1136454 loci AA genotype were significantly lower than those of pneumonia children with AG genotype and GG genotype while SOCS1 and Foxp3 mRNA expression in peripheral blood were significantly higher than those of pneumonia children with AG genotype and GG genotype. Conclusion: Neonatal SP-A gene rs1059054 loci CC genotype can increase the pneumonia susceptibility and aggravate inflammatory response, and rs1136454 loci AA genotype can decrease pneumonia susceptibility and relieve inflammatory response.
Keywords	Neonatal pneumonia Pulmonary surfactant protein A Gene polymorphism Inflammatory response ; Medicine ; R
Subject code	610
Language	English
Publishing date	2017-06-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Does Person–Organization Value Fit Affect Job Performance of Post-90s Employees in China? A Moderated Mediation Model Based on Self-Determination Theory

Yanzhi Liu / Yi He / Rong Cao

Sustainability, Vol 15, Iss 1931, p

2023 Volume 1931

Abstract: Nowadays, post-90s employees are becoming the main cohort within organizations in China. They are considered to have strong self-awareness, weak collective consciousness, and low work motivation, making it difficult for managers to improve their job ... ...

Abstract	Nowadays, post-90s employees are becoming the main cohort within organizations in China. They are considered to have strong self-awareness, weak collective consciousness, and low work motivation, making it difficult for managers to improve their job performance. After reviewing the relevant literature, we found that person–organization (PO) value fit is positively related to job performance, but there is a limitation in explaining the psychological characteristics of post-90s employees. This study aims to explore the mechanism that how PO value fit impacts the job performance of post-90s employees in China. From the view of self-determination theory (SDT), we selected happiness as a mediating variable and love of money (LOM) as a moderating variable. Based on valid data collected from 919 employees from all walks of life in China, we utilized both linear regression analysis and a bootstrapping approach to verify our propositions. The results revealed a positive relationship between PO value fit and job performance through happiness. The moderated mediation analysis further indicated that the mediated path bonding happiness with job performance was weaker for post-90s employees with higher levels of LOM. The present study offers a nuanced interpretation of how PO value fit affects the job performance of post-90s employees in China and contributes to providing suggestions for improving the sustainability of organizations.
Keywords	person–organization value fit ; happiness ; love of money ; job performance ; self-determination theory ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	650
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Attribution of runoff changes in the Danjiang River Basin in the Qinba Mountains, China

Lei Zhao / Yi He / Wanqing Liu

Frontiers in Forests and Global Change, Vol

2023 Volume 6

Abstract: IntroductionThe Danjiang River Basin has experienced significant alterations to its runoff patterns in recent years, primarily as a result of climate change and anthropogenic activities.MethodsThis study aims to investigate these factors’ influence on ... ...

Abstract	IntroductionThe Danjiang River Basin has experienced significant alterations to its runoff patterns in recent years, primarily as a result of climate change and anthropogenic activities.MethodsThis study aims to investigate these factors’ influence on the basin’s runoff between 1960 and 2016 using the Mann–Kendall (M-K) test and Accumulative Anomaly Curve (AAC) to assess the abrupt change characteristics of runoff. Furthermore, the study evaluates the effects of climate and anthropogenic factors on runoff evolution using eight independent Budyko hypotheses.ResultsThe findings indicate that annual precipitation in the basin remained stable (P > 0.1), while annual runoff decreases significantly to −4.08 mm/a (P < 0.05) and the annual potential evapotranspiration slightly decreases to −1.76 mm/a (P < 0.05). The study also reveales that the reduction of runoff is primarily attributable to anthropogenic activities, contributing between 133.66 and 147.50%, while climate change contributes between −33.66 and −47.50%.DiscussionThe increased vegetation cover in the basin is identified as the primary cause of the reduction in runoff production and increase in evapotranspiration. Additionally, the construction of hydraulic engineering facilities in the basin is found to have had some impact on reducing runoff. These findings have significant implications for water resource management and soil and water conservation in the Danjiang River Basin.
Keywords	Danjiang River Basin ; Budyko hypothesis ; climate change ; anthropogenic activities ; runoff changes ; Forestry ; SD1-669.5 ; Environmental sciences ; GE1-350
Subject code	550
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: ceRNA network-regulated COL1A2 high expression correlates with poor prognosis and immune infiltration in colon adenocarcinoma

Xia Yuan / Yi He / Wei Wang

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 16

Abstract: Abstract Collagen type I α 2 (COL1A2) is a major component of collagen type I. Recently, abnormal COL1A2 expression has been reported in human cancers. However, the specific role and mechanism of COL1A2 in colon adenocarcinoma (COAD) remain unclear. We ... ...

Abstract	Abstract Collagen type I α 2 (COL1A2) is a major component of collagen type I. Recently, abnormal COL1A2 expression has been reported in human cancers. However, the specific role and mechanism of COL1A2 in colon adenocarcinoma (COAD) remain unclear. We performed the pan-cancer analysis of COL1A2 expression in 33 types of human cancers from TIMER database and integrated data combined TCGA with GTEx. The prognostic values of COL1A2 for 17 cancer types of interest were estimated from GEPIA database. The results showed that COL1A2 was significantly upregulated in COAD tissues and that higher COL1A2 expression predicted unfavorable prognosis for patients with COAD. Next, COL1A2-related functional pathways in COAD were analyzed with TCGA data using R package. Additionally, we constructed a ceRNA network that LINC00638/hsa-miR-552-3p axis served as a potential regulatory pathway of COL1A2 in COAD. Furthermore, our findings showed that COL1A2 positively associated with immune infiltration and that tumor immune escape might be involved in COL1A2-mediated carcinogenesis in COAD. For the first time, we constructed a ceRNA prediction network of COL1A2 and explored the association of COL1A2 with tumor immune microenvironment remodeling. The findings may advance our understanding of the pathogenesis mechanism in COAD and paves the way for further cancer therapeutics.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Optimization of Multistage Coilgun Based on Neural Network and Intelligent Algorithm

Yi He / Xiaoqing Yang / Haojie Tian

Applied Sciences, Vol 13, Iss 7374, p

2023 Volume 7374

Abstract: The parameter optimization of a multistage synchronous induction coilgun (SICG) is a time-consuming task. Traditional machine learning methods can accelerate the process by building predictive models, but they require separate modeling for an SICG with ... ...

Abstract	The parameter optimization of a multistage synchronous induction coilgun (SICG) is a time-consuming task. Traditional machine learning methods can accelerate the process by building predictive models, but they require separate modeling for an SICG with different stages, which requires numerous datasets and is a cumbersome process. This paper proposes a method for building a predictive model for an SICG with different stages based on a recurrent neural network (RNN). In this method, the feed time of a 2- to 10-stage SICG is selected from the standard orthogonal design table as the training and test datasets, and the current filament method (CFM) is used to calculate the dataset label. The gate recurrent unit (GRU) neural network is used to study the training dataset, and the predictive model has good accuracy with respect to the test dataset, with an average error of 0.022. The predictive model and a particle swarm optimization (PSO) algorithm are applied to optimize the feed time of the SICG with different stages. The results show that the three-stage SICG can achieve a muzzle velocity of 50 m/s for a projectile, while the maximum muzzle velocity of the three-stage SICG in all datasets is 46.87 m/s.
Keywords	synchronous induction coilgun (SICG) ; finite element method (FEM) ; current filament method (CFM) ; particle swarm optimization (PSO) ; neural network ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	620
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Residue-Level Contact Reveals Modular Domain Interactions of PICK1 Are Driven by Both Electrostatic and Hydrophobic Forces

Amy O. Stevens / Yi He

Frontiers in Molecular Biosciences, Vol

2021 Volume 7

Abstract: PICK1 is a multi-domain scaffolding protein that is uniquely comprised of both a PDZ domain and a BAR domain. While previous experiments have shown that the PDZ domain and the linker positively regulate the BAR domain and the C-terminus negatively ... ...

Abstract	PICK1 is a multi-domain scaffolding protein that is uniquely comprised of both a PDZ domain and a BAR domain. While previous experiments have shown that the PDZ domain and the linker positively regulate the BAR domain and the C-terminus negatively regulates the BAR domain, the details of internal regulation mechanisms are unknown. Molecular dynamics (MD) simulations have been proven to be a useful tool in revealing the intramolecular interactions at atomic-level resolution. PICK1 performs its biological functions in a dimeric form which is extremely computationally demanding to simulate with an all-atom force field. Here, we use coarse-grained MD simulations to expose the key residues and driving forces in the internal regulations of PICK1. While the PDZ and BAR domains do not form a stable complex, our simulations show the PDZ domain preferentially interacting with the concave surface of the BAR domain over other BAR domain regions. Furthermore, our simulations show that the short helix in the linker region can form interactions with the PDZ domain. Our results reveal that the surface of the βB-βC loop, βC strand, and αA-βD loop of the PDZ domain can form a group of hydrophobic interactions surrounding the linker helix. These interactions are driven by hydrophobic forces. In contrast, our simulations reveal a very dynamic C-terminus that most often resides on the convex surface of the BAR domain rather than the previously suspected concave surface. These interactions are driven by a combination of electrostatic and hydrophobic interactions.
Keywords	PICK1 ; inter-domain dynamics ; coarse-grained simulations ; key residues ; physical forces ; Biology (General) ; QH301-705.5
Subject code	612
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of airborne particulate matter exposure on hospital admission for Alzheimer's disease and the attributable economic burden

Xi Yang / Wanyanhan Jiang / Xi Gao / Yi He / Chenwei Lin / Jiushun Zhou / Lian Yang

Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-

evidence from a time-series study in Sichuan, China

2024 Volume 12

Abstract: Abstract Background Alzheimer's disease (AD) and other forms of dementia are the seventh leading cause of death. Studies discern the inclusion of air pollution among modifiable risk factors for dementia, while limited studies are for China. This study ... ...

Abstract	Abstract Background Alzheimer's disease (AD) and other forms of dementia are the seventh leading cause of death. Studies discern the inclusion of air pollution among modifiable risk factors for dementia, while limited studies are for China. This study aims to examine the short-term association between airborne particulate matter (PM) and the hospitalizations of AD, including the economic costs in China. Methods A total of 4975 cases of AD patients hospitalized from 2017 to 2019, were collected from nine city and 411 medical institutions in Sichuan Province, China. Data on air pollutants such as PM2.5, PM10, and NO2 were obtained from 183 air quality monitoring stations in Sichuan Province. A time series-generalized additive model was used to estimate the association between short-term exposure to PM (lag1–lag7 and moving average lag01–lag07) and AD hospital admissions (HAs), stratified by gender, age, and season. Results Positive short-term exposure to airborne PM was found for the HAs of AD. The greatest effect on the number of AD inpatients was on single-day lag1 (PM2.5:1.034 (95% confidence interval (CI) 1.011, 1.058)). The association was also significant in the two-pollutant model. In the study period, 16.48% of AD HAs were attributed to the effect of PM. The total economic costs of AD attributable to PM exposure were US$ 2.56 million, including US$ 2.25 million of direct medical costs and US$ 0.31 million of indirect economic costs. Conclusions This study suggests that short-term exposure to airborne PM may increase the risk of AD HAs in Sichuan Province and result in associated economic costs.
Keywords	Alzheimer’s disease ; Air pollution ; Hospital admissions ; Economic burden ; Environmental sciences ; GE1-350 ; Environmental law ; K3581-3598
Subject code	333
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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