bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Influence Characteristics of Natural Gas Leakage in Long-distance Pipelines
Authors: Ding Cui 
Published: March 2021

Abstract
In order to study the diffusion characteristics of leaking natural gas in long-distance pipeline, natural gas leakage model were established and natural gas diffusion was numerically simulated by fluent. The influences of different airflow velocities and leakage apertures on the concentration distribution of natural gas were analyzed. The research shows that airflow velocity promotes the diffusion of natural gas, and the greater the airflow velocity, the wider the diffusion range and distance of natural gas towards the downwind. The larger the leakage apertures, the larger the concentration and diffusion area of natural gas. Airflow velocities and leakage apertures are the key factors affecting the accumulation of natural gas near the surface. In the case of natural gas leakage in long-distance pipelines, people near the leakage hole should be evacuated to the upwind direction to minimize the risk.
A new detection device for decomposition products of insulating gas in electrical equipment
Authors: Fang Chongfeng , Xu Yi , Ma Yao , Peng Bo , Wang Yu , Xia Ji , Chen Jingzhe , Lin Xin 
Published: March 2021

AbstractIn this paper, a multi-functional SF6gas decomposition products comprehensive analysis device is realized by using spectral absorption technology, integrating the existing electrochemical sensor technology, and integrating a variety of detection modules. In this paper, a set of hardware system is researched and implemented, which takes microprocessor as the control core and touch LCD as the human-machine interface to realize the SF6Electrical Equipment multi-functional gas analysis equipment.
Research on Solar-assisted Ocean Thermal Energy Conversion System
Authors: Cui Qixuan 
Published: March 2021

Abstract
At present, the Ocean Thermal Energy has low circulating thermal efficiency and poor power supply stability, so it has not been widely applied. To solve this problem, the combined generation system of ocean temperature difference energy and solar auxiliary heat is proposed. The multi-curved compound trough collector absorbs solar radiation energy, and layers heat exchange and energy storage with heat storage tank using heat conduction oil as medium. Then, the hot water storage and working medium preheated by warm sea water are used for efficient heat exchange in PCHE, so as to improve the system’s power generation efficiency and improve the continuity of power supply. The Solar-assisted Ocean Thermal Energy Conversion System is established by using Aspen Plus. The theoretical calculation and simulation analysis of each part of the system were carried out, and the thermal cycle with R717 as the working medium was determined. With Sansha City of Hainan Province as the background, the design is based on the installed capacity of 130kW solar auxiliary heat ocean temperature difference power generation system to verify the feasibility of the project. The energy management device takes PLC as the core, according to the load demand and the predicted power generation, through the fuzzy PID control strategy to adjust the flow of working medium and cold and hot source, and manage the power generation system. The energy management device effectively solves the intermittent problem of OTEC cycle power generation and the lack of power performance under the condition of sudden increase of power load, and realizes the system’s all-weather stable operation. Based on the traditional form of ocean temperature difference power generation, this system proposes the integration of solar energy efficient heat collection, heat storage and ocean temperature difference energy combined power generation technology, which greatly improves the system power generation efficiency and has high popularization and application value.
Research on Intelligent Prediction and Forecast Model for Construction Period of Transmission and Transformation Engineering Based on BP Neural Network
Authors: Xu Jianpei , Tong Jun , Zhao Tielin , Chen Chao 
Published: March 2021

Abstract
The construction period is one of the important control objectives of the construction and management of power transmission and transformation projects. If the construction period is not well controlled, it will lead to the failure of the project, cause disputes between all parties to the construction, and the economic and social benefits of the project cannot be ignored. Negative Effects. Therefore, it is of great significance to carry out the research on the construction period prediction method to improve the economic efficiency of the construction of power transmission and transformation projects. Based on the systematic analysis of the factors affecting the construction period of power transmission and transformation projects, this paper constructs an intelligent prediction model for the construction period of power transmission and transformation projects based on BP neural network theory, and verifies the validity and prediction accuracy of the model through empirical analysis. Reasonable control of construction period provides reference and reference.
Cloud detection of multi-feature remote sensing images based on deep learning
Authors: Yao Jiaqi , Zhai Haoran , Wang Guanghui 
Published: March 2021

Abstract
Satellite remote sensing technology provides massive image data for meteorological field, which can accurately extract the spatial distribution of cloud, and can be used to analyze the spatial and temporal changes of cloud. Aiming at the problems that the traditional algorithm is sensitive to noise and has poor recognition effect on broken clouds, a multi-feature remote sensing image cloud detection algorithm based on neural network structure is proposed, which has a good recognition effect on all types of clouds. The experimental results show that the accuracy of cloud detection in this paper reaches 92%, which is about 6% higher than the traditional algorithm, and avoids the disadvantage of the traditional algorithm which is sensitive to noise.
Research on Optimal Allocation of Resources and Improvement of Total Factor Productivity—Taking Shaanxi as an Example
Authors: Jia Nisha , Yang Zhihao 
Published: March 2021

Abstract
Taking Shaanxi province as an example, the panel data of 10 cities in Shaanxi province from 2005 to 2016 were used to explore the influence of factor resource allocation on total factor productivity. The results show that the allocation of factor resources has a positive effect on total factor productivity, that is, the better the allocation of resources, the higher the total factor productivity. The results of regional regression showed that the rationalization of resource allocation in Guanzhong and Northern Shaanxi significantly promoted the local total factor productivity, and the promotion effect of resource allocation in northern Shaanxi was greater than that in Guanzhong.
Spatial-temporal characteristics and influencing factors of NO2 and SO2 in the Beijing-Tianjin-Hebei region based on satellite remote sensing
Authors: Zhai Haoran , Yao Jiaqi , Qi Jianwei , Wang Guanghui , Zhang Tao 
Published: March 2021

Abstract
Air is an indispensable natural resource for all human activities. As an essential trace gas in the atmosphere, high NO2 and SO2 will affect the natural environment and human health. Based on the Ozone Monitoring Instrument’s data, the temporal and spatial distribution of NO2 and SO2 concentrations in the Beijing-Tianjin-Hebei region from 2005 to 2017 was analyzed. Results showed that, on the annual scale, the concentration increased at first and then decreased. On the monthly scale, both of the two had regular fluctuations with annual cycles. The spatial distribution of pollutants was high in the southeast and low in the northwest. By analyzing the influencing factors of pollutants, it was found that environmental conditions are more the periodic fluctuations and spatial distribution differences of image density, and policy-oriented conditions are the main reason for the concentration trend decline in the later period.
On the problems and countermeasures of source classification management of municipal solid waste by local governments
Authors: Qiao Ma Meng , Hua Sun Yan 
Published: March 2021

Abstract
With the rapid development of China’s economy, the level of urbanization is also rising. Due to the continuous expansion of China’s urban scale and the increasing number of urban population, there are also many problems. The increasing amount of urban household garbage aggravates the environmental pollution. Therefore, garbage classification is becoming more and more important. Garbage classification is conducive to improving our quality of life, environmental protection and resource conservation. We must attach importance to the classified management of urban household garbage and do a good job in the classified managementof urban garbage. In urban garbage classification management of local government plays an important role, through the analysis of source of urban living garbage classification work, the garbage classification collection and on the problems existing in the research, puts forward some effective management measures and methods, so as to promote effective development of source of urban living garbage classification management.
Research on Marine Environment Information System
Authors: Huo Jiaxin , Ma Zhiqiang , Peng DianBao 
Published: March 2021

Abstract
In this paper, the current situation of digital ocean environment information system is studied, including the digital ocean environment information system, the digital ocean environment information system and the digital ocean information system. The comprehensive analysis and application of display and management, marine environmental information, and the construction of a more comprehensive and rich marine environment digital earth will form a marine environment information security system suitable for marine power strategy.
Study on management strategy of the on-street parking in Urban Residential Area - Taking Harbin as an Example
Authors: Xiaoyan Zhu , Xiqiao Zhang , Xu Sun 
Published: March 2021

Abstract
On road parking is a necessary supplementary form to solve the urban parking problem, which plays an important part in alleviating the parking demand pressure in residential areas. However, due to the poor management and use of on-road parking, there are problems such as parking confusion and illegal occupation of road resources, which affect the road capacity. Therefore, this paper takes Harbin residential area as an example to explore and explore on-road parking management strategy. Firstly, the status of on-road parking in residential areas is examined, and the deficiencies of on-road parking management in residential areas are analyzed. Referring to advance management experience and mode of on-road parking in residential areas abroad, and combined with the actual parking situation of Harbin residential areas, this paper puts forward the corresponding optimization strategy of on-road parking management.
Research on green development framework of the virtual power plants
Authors: Lei Shaofeng , Liu Zheng , Wang Qingliang , Wang Shengbin , Liu Dunnan , Yan Min , Han Yaxuan 
Published: March 2021

Abstract
In order to accelerate the construction of an internationally-leading energy Internet enterprise with Chinese characteristics, this paper analyses the connotation of the green development of virtual power plants by combing the green development requirements of the energy and electric power industry. In addition, this paper constructs the evaluation index system framework of the green development of virtual power plants and analyses the social benefits of virtual power plants.
Multi-attribute decision making approach for green efficiency of water utilization in Taiyuan
Authors: Ren Lixia , Gong Guoli , Yao Ling 
Published: March 2021

Abstract
The problem of water shortage and pollution exists in Taiyuan. Under the advocacy of the concept of green development, it is necessary to carry out the research on the green efficiency of water utilization (WUGE) from the three-dimensional perspective of “economy environment society”. In this study, the evaluation index system of WUGE was optimized, which consist of 17 attributes. Interval analytic hierarchy process is used to determine the weight of attributes, and multi-attribute decision making approach is used to evaluate the WUGE from 2009 to 2018. The evaluation results show that the comprehensive evaluation value of WUGE in 2018 is the highest.
Seasonal plasticity is more important than population variability in effects on white clover architecture and productivity
Authors: Nölke Isabelle , Tonn Bettina , Isselstein Johannes 
Published: March 2021

Abstract

Background and Aims
The drivers of white clover (Trifolium repens) architecture and productivity are still imperfectly understood. Our aim here was to investigate the impact of genetic background, neighbourhood and season on different architectural traits, clover and total biomass yield, as well as the relationship between those traits and yield.

Methods
We grew eight white clover populations in pure stands and in mixed stands with contrasting mixture partners. Over four consecutive regrowth periods within 1 year, we measured trait sizes and determined clover and total yield amounts.

Key Results
The size of the architectural traits differed between populations and changed in response to neighbourhood and season. Population did not affect the sign or degree of those changes. Among the tested factors, season was by far the most important driver of white clover architecture, with the seasonal pattern notably differing between architectural traits. Clover and total yield were positively related to the architectural traits leaf area, petiole length, internode length and specific leaf area. Whereas the direction of the relationship was widely unaffected, its magnitude was clearly altered by neighbourhood and season.

Conclusions
Our results show that seasonal effects are the key for a deeper understanding of the architecture of white clover individuals and to improve the productivity of white clover communities.
Reusability and composability in process description maps: RAS–RAF–MEK–ERK signalling
Authors: Mazein Alexander , Rougny Adrien , Karr Jonathan R , Saez-Rodriguez Julio , Ostaszewski Marek , Schneider Reinhard 
Published: March 2021

Abstract
Detailed maps of the molecular basis of the disease are powerful tools for interpreting data and building predictive models. Modularity and composability are considered necessary network features for large-scale collaborative efforts to build comprehensive molecular descriptions of disease mechanisms. An effective way to create and manage large systems is to compose multiple subsystems. Composable network components could effectively harness the contributions of many individuals and enable teams to seamlessly assemble many individual components into comprehensive maps. We examine manually built versions of the RAS–RAF–MEK–ERK cascade from the Atlas of Cancer Signalling Network, PANTHER and Reactome databases and review them in terms of their reusability and composability for assembling new disease models. We identify design principles for managing complex systems that could make it easier for investigators to share and reuse network components. We demonstrate the main challenges including incompatible levels of detail and ambiguous representation of complexes and highlight the need to address these challenges.
Reversing complete mechanical transzonal projections disruption during mouse in vitro follicle culture with unaltered oocyte competence
Authors: Herta Anamaria-Cristina , Akin Nazli , Billooye Katy , Saucedo-Cuevas Laura , Lolicato Francesca , Segers Ingrid , Anckaert Ellen , Smitz Johan 
Published: March 2021

Abstract
In vitro oocyte growth is widely studied as an alternative fertility preservation approach. Several animal models are used to generate extensive information on this complex process regulated by the constant and dynamic interaction between the oocyte and its somatic compartment throughout follicle growth and maturation. A two-dimensional attachment mouse secondary follicle culture system was used to assess the oocyte’s capacity to overcome disconnection from its somatic companions at different developmental stages for final competence acquisition. To test this, complete mechanical denudation of oocytes from preantral (PA) and early antral (EA) follicles was performed. Established endpoints were the oocyte’s potential to reconnect with somatic cells and the impact of connectivity disruption on mature oocyte quality. This study proves that oocytes from PA and EA cultured mouse follicles can overcome complete denudation, restoring likely functional transzonal projections with no significant differences in meiotic and developmental competence compared with those from intact cultured follicles. These novel findings constitute good premises for developing successful strategies to rescue human oocyte competence in the context of in vitro culture approaches such as nonhuman chorionic gonadotropin triggered in vitro maturation.
Melatonin promotes male reproductive performance and increases testosterone synthesis in mammalian Leydig cells
Authors: Yang Minghui , Guan Shengyu , Tao Jingli , Zhu Kuanfeng , Lv Dongying , Wang Jing , Li Guangdong , Gao Yuefeng , Wu Hao , Liu Jinghao , Cao Lin , Fu Yao , Ji Pengyun , Lian Zhengxing , Zhang Lu , Liu Guoshi 
Published: March 2021

AbstractLeydig cells play a critical role in male reproductive physiology, and their dysfunction is usually associated with male infertility. Melatonin has an important protective and regulatory role in these cells. However, the lack of suitable animal models impedes us from addressing the impact of endogenous melatonin on these cells. In the current study, by using arylalkylamine N-acetyltransferase (AANAT) overexpression transgenic sheep and AANAT knockout mice, we confirmed the regulatory effects of endogenously occurring melatonin on Leydig cells as well as its beneficial effects on male reproductive performance. The results showed that the endogenously elevated melatonin level was correlated with decreased Leydig cell apoptosis, increased testosterone production, and improved quality of sperm in melatonin-enriched transgenic mammals. Signal transduction analysis indicated that melatonin targeted the mitochondrial apoptotic Bax/Bcl2 pathway and thus suppressed Leydig cell apoptosis. In addition, melatonin upregulated the expression of testosterone synthesis-related genes of Steroidogenic Acute Regulatory Protein (StAR), Steroidogenic factor 1 (SF1), and Transcription factor GATA-4 (Gata4) in Leydig cells. This action was primarily mediated by the melatonin nuclear receptor RAR-related orphan receptor alpha (RORα) since blockade of this receptor suppressed the effect of melatonin on testosterone synthesis. All of these actions of melatonin cause Leydig cells to generate more testosterone, which is necessary for spermatogenesis in mammals. In contrast, AANAT knockout animals have dysfunctional Leydig cells and reduced reproductive performance.
Conceptualising Care in Children’s Social Services
Authors: Neagu Mariela 
Published: March 2021

AbstractThis article explores the concept of care and the responsibility assumed by ‘states’ when taking children into care. It examines the limitations of the state in exercising its parental duty and it proposes a model for re-conceptualising children’s social care by drawing on the literature on autonomy, recognition theory and specific provisions of the United Nations Convention on the Rights of the Child. The model places the child’s dignity at the core of the care framework, and it argues that a children’s rights approach which is grounded in moral theories contributes to their self-esteem and autonomy, both of which are key for a person’s development and well-being. The model addresses the tension between children’s rights and child welfare and it can be applied to child protection services that aim to take a children’s rights approach.
Temperature-Dependent Demography of Two Geographically Isolated Populations ofSesamia cretica(Lepidoptera: Noctuidae)
Authors: Arbabtafti Roya , Fathipour Yaghoub , Ranjbar Aghdam Hossein 
Published: March 2021

AbstractThe pink stem borer, Sesamia cretica Lederer is considered as the main insect pest of maize and sugarcane worldwide. Reproductive and life table parameters of two populations of S. cretica were studied at 10 constant temperatures ranging from 12 to 36 (±1)°C, 50 ± 10% RH and a photoperiod of 0:24 (L:D) h for the larval stage and 16:8 (L:D) h for the other stages. At 12°C, no eggs hatched and at 15, 35, and 36°C only the incubation period was completed. The longest (135.81 and 156.49 d) and shortest (49.61 and 52.09 d) female life span were observed at 20 and 32°C for the Varamin and Rey populations, respectively. The highest (181.66 and 180.94 eggs/female) and lowest (13.40 and 32.85 eggs/female) total fecundity of the Varamin and Rey populations were found at 20°C and 34°C, respectively. At the same time, these two populations had the highest intrinsic rate of increase (r) (0.0343 and 0.0349 d-1) at 30 and 27°C, respectively. Similarly, both Varamin and Rey populations had the highest finite rate of increase (λ) at 27°C (1.0349 and 1.0355 d-1, respectively). It was found that the geographical populations of S. cretica were different in terms of the life table parameters at the same temperatures, and this issue can affect the results of forecasting studies. Accordingly, it is suggested that in the major corn-growing areas, a comprehensive study should be performed on different pest populations to address their commonalities and differences for future managing programs.
A 33-year follow-up after valvular surgery for carcinoid heart disease
Authors: Bergsten Johannes , Flachskampf Frank A , Lundin Lennart , Öhagen Patrik , Albåge Anders 
Published: March 2021

Abstract

Aims
Valvular surgery has improved long-term prognosis in severe carcinoid heart disease (CaHD). Experience is limited and uncertainty remains about predictors for survival and strategy regarding single vs. double-valve surgery. The aim was to review survival and echocardiographic findings after valvular surgery for CaHD at our institution.

Methods and results
Between 1986 and 2019, 60 consecutive patients, median age 64 years, underwent valve surgery for severe CaHD. Operations involved combined tricuspid valve replacement (TVR) and pulmonary valve replacement (PVR) in 42 cases, and TVR-only or TVR with pulmonary valvotomy (no PVR) in 18 patients. All implanted valves were bioprosthetic. Preoperative echocardiography, creatinine, NT-pro-brain natriuretic peptide (NT-pro-BNP), and 24-h urinary 5-hydroxyindoleacetic acid (5-HIAA) were obtained. 30-Day mortality was 12% (n=7), and 8% for the most recent decade 2010–2019. Median survival was 2.2 years and maximum survival 21 years. Patients undergoing combined TVR and PVR had significantly higher survival compared with operations without PVR (median 3.0 vs. 0.9 years, P = 0.02). Preoperative levels of NT-pro-BNP and 5-HIAA in the top quartile predicted poor survival. On preoperative echocardiograms, pulmonary regurgitation was severe in 51% and indeterminate in 17%. Postoperative echocardiography confirmed relatively good durability of bioprostheses, relative to the patients’ limited oncological life expectancy.

Conclusion
Valvular surgery in CaHD has an acceptable perioperative risk. Survival for combined TVR and PVR was significantly higher compared with operations without PVR. Bioprosthetic valve replacement appears to have adequate durability. Preoperative echocardiography may underestimate pulmonary pathology. Combined TVR and PVR should be considered in most patients.