bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cyclic transitions of DNA origami dimers driven by thermal cycling
Authors: Chen Zhekun , Chen Kuiting , Xie Chun , Liao Kangchao , Xu Fei , Pan Linqiang 
Published: November 2022

Abstract
It is widely observed that life activities are regulated through conformational transitions of biological macromolecules, which inspires the construction of environmental responsive nanomachines in recent years. Here we present a thermal responsive DNA origami dimers system, whose conformations can be cyclically switched by thermal cycling. In our strategy, origami dimers are assembled at high temperatures and disassembled at low temperatures, which is different from the conventional strategy of breaking nanostructures using high temperatures. The advantage of this strategy is that the dimers system can be repeatedly operated without significant performance degradation, compared to traditional strategies such as conformational transitions via i-motif and G-quadruplexes, whose performance degrades with sample dilution due to repeated addition of trigger solutions. The cyclic conformational transitions of the dimers system are verified by fluorescence curves and AFM images. This research offered a new way to construct cyclic transformational nanodevices, such as reusable nanomedicine delivery systems or nanorobots with long service lifetimes.
The influence of humidity on positive streamer propagation in long air gap
Authors: Starikovskiy A Yu , Bazelyan E M , Aleksandrov N L 
Published: November 2022

Abstract
A 2D numerical simulation of the positive streamer properties was performed in 9–12 cm plane-to-plane air gaps for various pressures and water vapor contents. It was shown that an increase in air humidity leads to hampering the streamer development and to increasing the average critical electric field required for bridging the discharge gap. The effect of humidity was most profound at atmospheric pressure and decreased with decreasing pressure. The influence of water content on the streamer properties was explained by a decrease in the streamer channel conductivity due to dissociative recombination of electrons with positive hydrated ions and enhanced three-body electron attachment to O2 molecules. The calculated critical electric field and streamer velocity in humid air gaps were compared with available experimental data.
Emission and capture characteristics of electron trap (E
emi = 0.8 eV) in Si-doped β-Ga2O3 epilayer
Authors: Qu Haolan , Chen Jiaxiang , Zhang Yu , Sui Jin , Gu Yitian , Deng Yuxin , Su Danni , Zhang Ruohan , Lu Xing , Zou Xinbo 
Published: November 2022

Abstract
By deep level transient spectroscopy (DLTS), emission and capture behaviors have been explicitly investigated for a single electron trap in a Si-doped β-Ga2O3 epilayer. Trap characteristics including activation energy for emission (E
emi = 0.8 eV), capture cross-section of 6.40 × 10−15 cm2 and lambda-corrected trap concentration (N
Ta) of 2.48 × 1013 cm−3 were revealed, together with non-emission region width (λ = 267.78 nm). By isothermal DLTS, in addition to the impact of temperature, electric-field-enhanced trap emission kinetics were studied. When a relatively low electric field was applied (E ⩽ 1.81 × 105 V cm−1 at 330 K), emission kinetics of the trap was modeled to comply with phonon-assisted tunneling, whereas the emission process was regarded to be dominated by direct tunneling for a relatively high electric field (E ⩾ 1.81 × 105 V cm−1 at 330 K). A thermal-enhanced capture process has also been disclosed and quantitatively studied, where a capture barrier energy of 0.15 eV was extracted.
The new formulation of Hamiltonian second order continuous systems of Riemann-Liouville fractional derivatives
Authors: Alawaideh Yazen M , Al-khamiseh Bashar M 
Published: November 2022

Abstract
In this study, we first generalized the Hamilton formulation for continuous systems with second-order fractional derivatives and applied it to Podolsky’s generalized electrodynamics. Then, we compared the outcomes to those obtained using Dirac’s approach. This approach was primarily intended to validate Podolsky’s generalized electrodynamics. Using this technique, a combined Riemann-Liouville fractional derivative operator and a fractional variational theory are produced. Fractional Euler equations and fraction Hamilton equations are created using the fraction variational notion. The Hamiltonian equations of motion are compatible with the Euler–Lagrange equations.
Seizure onset zone classification based on imbalanced iEEG with data augmentation
Authors: Zhao Xuyang , Sole-Casals Jordi , Sugano Hidenori , Tanaka Toshihisa 
Published: November 2022

Abstract

Objective. Identifying the seizure onset zone (SOZ) in patients with focal epilepsy is the critical information required for surgery. However, collecting this information is challenging, time-consuming, and subjective. Some machine learning methods reduce the workload of clinical experts in intracranial electroencephalogram (iEEG) visual diagnosis but face significant challenges because interictal iEEG clinical data often suffer from a significant class imbalance. We aim to generate synthetic data for the minority class. Approach. To make the clinically imbalanced data suitable for machine learning, we introduce an EEG augmentation method (EEGAug). The EEGAug method randomly selects several samples from the minority class and transforms them into the frequency domain. Then, different frequency bands from different samples are used to compose new data. Finally, a synthetic sample is generated after converting the new data back to the time domain. Main results. The imbalanced clinical iEEG data can be balanced and applied to machine learning models using the method. A one-dimensional convolutional neural network model is used to classify the SOZ and non-SOZ data. We compare the EEGAug method with other data augmentation methods and another method of class-balanced focal loss function, which is also used for solving the data imbalance problem by adjusting the weights between the minority and majority classes. The results show that the EEGAug method performs best in most data. Significance. Data imbalance is a widespread clinical problem. The EEGAug method can flexibly generate synthetic data for the minority class, yielding synthetic and raw data with a high distribution similarity. By using the EEGAug method, clinical data can be used in machine learning models.
Evaluation of ecological environment carrying capacity of mineral resources exploitation - Take Shenzhen as an example
Authors: Qin Jianqiao , Liu Hao , Zhao Huarong , Gu Fuxing , Jiang Donghang , Zhu Zhixi , Hou Jinxiang 
Published: November 2022

Abstract
The assessment of eco-environmental carrying capacity is the focus of planning environmental impact assessment and an important basis for determining whether the planning can be implemented. Based on the theory and method of ECO-environmental impact assessment, this paper applies the analytic hierarchy process (AHP) to analyze the ecological resilience, resource-environment carrying capacity and mining pressure of mineral resources. A comprehensive evaluation model of environmental impact of mineral resources exploitation is established. Taking Shenzhen City, Guangdong Province as an example, the difference of eco-environmental carrying capacity of the main planned mining areas is evaluated. The results show that the pressure bearing degree of most of the assessed blocks is less than 1, indicating that the pressure on the ecosystem is less than the carrying capacity. The ecosystem is not easy to change and can be restored to the original state in a short time after change, and the ecosystem can maintain normal development. This is of great guiding significance to the scientific formulation of mineral resources exploitation strategy.
Magnetic activated carbon optimization using response surface approach for Cr(VI)
Authors: Yao Wenxuan , Tai Dezhi , Zeng Honghu , Zhang Hua , Huang Haiyi 
Published: November 2022

Abstract
Magnetic activated carbon (Fe3O4-AC) is made using Fe3O4 and activated carbon as primary materials to adsorb Cr(VI) in simulated wastewater. The Response Surface Method (RSM) optimizes the experimental parameters (pH, temperature, initial solution concentration, and activated carbon dosage). The impacts of various elements are explored to determine the ideal reaction conditions for maximum elimination. According to the data, the interaction between pH and the other three parameters is exceptionally significant (P<0.0001) in the experimental response. Furthermore, a maximum removal rate of 83.88 percent may be attained at pH=2, temperature 62°C, starting Cr(VI) concentration 179mg/L, and activate carbon dosage 0.14g/50mL.
Application of a modified graphite paste electrode to the detection of fluorene in fuscous latices
Authors: Liu Yu , Luo Qi , Tian Qiping , Xu Wen , Hu Huili , Shi Li 
Published: November 2022

Abstract
A graphite paste electrode (GPE) was obtained by immobilizing graphene, and the electrocatalytic activity of fluorene (Flu) was studied. The voltammetric behavior using graphene-modified GPE showed an irreversible redox reaction for Flu-ACN-KClO4. A good linear correlation between anodic I and C
Flu ranged within 8–300 ng mL−1. Therefore, we recommend a facile synthesis of modified GPE impregnated with Flu, which matched the concept of analytical minimalism. The electrochemical detection method combined with portable potentiostat is promising to be used for the field tests of Flu in fuscous latices as well as other polycyclic aromatic hydrocarbons.
Management and suggestion of ecological flow guarantee of key rivers and lakes in the Yangtze River Basin
Authors: Deng Zhimin , Shen Dandan , Zhang Keke 
Published: November 2022

Abstract
In this paper, inter-provincial key rivers and lakes (KRLs) and their ecological flow (eco-flow) targets that have been issued and implemented, were taken as the research object. Based on the daily data of eco-flow at each control section, the eco-flow guarantee situation of the KRLs from 2020 to 2021 was analyzed, showing that except Dashadian section, the eco-flow at other sections was all up to the standard. And the reason of target dissatisfaction is that the discharge of two power stations located in the upstream of Dashadian section did not meet the requirements due to their maintenance. Moreover, the accomplishments and problems of eco-flow management were summarized. Furthermore, in the terms of dispatching management, monitoring and early warning, supervision and management, and further research, suggestions and measures were put forward to provide reference for the follow-up eco-flow management.
Analysis uneven selective catalytic reduction flow field of coal-fired units under the situation of double carbon
Authors: Meng Fanliang , Wang Xueli , Qiu Huahai , Feng Qianwei 
Published: November 2022

Abstract
With the implementation of China’s carbon peaking and carbon neutralization strategy and the accelerating transformation of energy structure, higher requirements are put forward for the carbon reduction and operation and maintenance capacity of coal-fired units. Based on the analysis of the uneven Selective catalytic reduction flow field of a coal-fired unit in a power plant, the field tests under different conditions are used to study the inlet flow field distribution and outlet NOx concentration distribution of the denitration device of the unit, and the targeted optimization, adjustment of ammonia injection branch pipe is carried out, which effectively solves the uneven Selective catalytic reduction denitration flow field and can provide reference for similar units.
Big data analytics for adaption to climate change
Authors: Wang Haijing , Wang Yaping 
Published: November 2022

Abstract
Big data analytics (BDA) has the 5-v benefit of volume, variety, veracity, velocity, and value and has the potential to help adaptation to climate change. This paper reports the preconditions for designing the BDA system specifically for adapting to climate change, the designing of this BDA system, and the actual performance. In terms of layers, the components of the BDA system have five integrated layers: the persistent layer, the distributed data storage indexing layer, the web-based data analytics layer, the web-based layer responding to web-based requesting portals, and the web portal layers for specialist administrators to make responses. The BDA system includes the primary database, the sectoral database, and the integration process. The BDA generally met the preconditions and the goals of improving the adaptation capacity to climate change. The trial use of this BDA covered seven provinces in terms of geographic areas and covered preventing flood, tracing diseases caused by climate change, zoning and planning urban areas, and other fields in terms of content. The actual performance indicates that this BDA system functions well as to the speed of processing, the soundness of analysis, and the accuracy of data. However, there is still a need to improve its capacity to spot and detect erroneous but non-conflicting data.
A study of the urban heat island effect in Guangzhou
Authors: Tang Chi Fong 
Published: November 2022

Abstract
As the world economy continues to grow and energy consumption increases, the global climate is gradually warming. Among them, the economic activities in metropolitan areas are more intense compared to other areas, forming an urban heat island effect where the temperature in the urban area is higher than that in the surrounding areas. This article selects Guangzhou, a rapidly developing city in southern China over the past two decades, as a case study. Surface temperature data for five time periods, namely 2000, 2005, 2010, 2015 and 2020, are collected to analyse how Guangzhou is affected by the urban heat island effect and its relationship with land use status and population density. The results of the article found that the urban heat island effect in Guangzhou is very obvious, mainly in the central and southern parts of the city, where the spatial distribution and evolution of land use type and population density are significantly related to the intensity of the heat island effect. In the future, Guangzhou can alleviate the impact of climate change and urban heat island effect by rationally planning urban layout, optimizing urban ecological environment, improving the material of urban underlying surface and actively developing renewable energy.
Research on the measurement of contribution value of scientific and technological talents in China’s mining industry——Innovative application based on “Cobb Douglas production function method”
Authors: Xie Tianheng , Zhu Xueyi 
Published: November 2022

Abstract
This paper aims to determine the contribution value of scientific and technological talents from Mining to national economic development, with data collecting on the correlations between the national Mining and the national economic development from 2005 to 2019, comprising the added value, the capital formation and the total wages and growth rate of the Mining. Through the Cobb-Douglas production function method, the contribution index of Mining talents was confirmed. Combining this index with high-tech talents, the contribution value of Mining science and technology talents was calculated and determined by using big date and informatization method. The results show that in 2005, the contribution value of scientific and technological talents in China’s mining industry in enterprise scientific and technological research and development was 2288.4 yuan / person year, which increased to 3821.1 yuan / person year in 2018, with an average annual increase of 4.01%, 16 years average 7011.1 yuan / person year. This value is much lower than the contribution of capital, and its output elasticity (index) is only 7.42% of capital. However, this is the result of the scientific and technological talents in the mining industry with the value of selfless dedication. It is the real motivation and purpose of the author to write this paper: appeal to the state, society and enterprises to increase the scientific and technological investment in the mining industry and constantly improve the conditions and treatment of scientific and technological talents in the mining industry.
Ecological study on native plant diversity in Kuwait desert ecosystem
Authors: Ahmed Modi , Saleh Abeer Al , Dousari Noor Al 
Published: November 2022

Abstract
The scarcity and irregularity of rainfall and the prevalence of strong northwesterly winds in Kuwait have a significant influence on the stability of the fragile ecosystem. The Aeolian landforms constitute most of the landscapes in Kuwait. Naturally grown native shrubs and trees can provide potential shelter to the soil surface in desert areas. To identify the characteristics of dominant perennial plant species, sediments of desert and saline (sabkhas) nabkha formed around different types of desert and halophytes plants are studied. Haloxylon salicornicum, Nitraria retusa, Cyperus conglomerates, Panicum turgidum, Rhanterium epapposum, Calligonum polygonoides, Stipagrostis plumosa Lycium shawii, Astragalus spinosus, Convolvolus oxyphyllus, Tamarix aucheriana, Halocnemum strobilaceum, and Citrullus colocynthis are landmarks characterizing the Arabian deserts and coastal salt marshes. The analyses of soil samples around the native plants showed that each native plants has its characteristics. The sediments of desert nabkhas differ from coastal nabkhas (Nitraria sp., Halocnemum sp., and Tamarix sp.). The sediments of coastal nabkha were characterized by lower pH, higher moisture content, total dissolved salts, and conductivity levels than desert nabkhas. Maximum mobile sediments were trapped by N. retusa, T. aucheriana, H. salicornicum, C. colocynthis, and L. shawii because of their ability to develop wider and longer nabkhas than other native plants. The vegetated dunes can trap maximum mobile sediments from 0.5 to 10.5 tons thus cost-saving per plant is estimated to be from 0.3 to 7.3 USD.
Changes in land use land cover within the Jukskei River basin and its implications on the water availability
Authors: Moeketsi P. , Nkhonjera G.K. , Alowo R. 
Published: November 2022

Abstract
South Africa is just slowly emerging from its past turbulent history with some of its population still not able to access some of the basic services such as water. This study was aimed at evaluating changes in land use land cover within the Jukskei River basin and its implications on the water availability. The study used Archydro tools on ArcMap of the ArcGIS program to delineate the Jukskei River catchment, then, used the delineated catchment to clip off the land use land cover (LULC) maps for the periods 1990, 2014 and 2020. The total area of the catchment was determined to be 800 km2, and land use practices were assessed for 1990, 2014 and 2020 LULC maps. The major land use classifications found within the catchment were agriculture, bare-land, forests, grassland, settlements (built-up area), mines, waterbodies, and wetlands. The study showed that settlements accounted for the greatest portion of the Jukskei River catchment, compared to other land use categories. The runoff was determined for the 2, 5, 10 and 20 years return periods. The study showed that runoff increased by 8.33% due to 2020 land uses (70% imperviousness), from those values calculated for 1990 and 2014 land uses which had 60.87 and 61.58% imperviousness respectively. Therefore, the results revealed that a large quantity of water (runoff) is generated in the catchment and then surrendered into the Limpopo River and eventually wasted into the Indian Ocean. The study also showed that an increase in imperviousness due to land use practices resulted in an increase in surface runoff, thus having negative implications on the catchment’s water availability.
Developing comprehensive resilient water systems and their driving factors for the 21st Century Society in China
Authors: Yang Jingwei , Xue Fei , Sun Xiang , Luo Yao , Wang Jian 
Published: November 2022

Abstract
More frequent and severe natural disasters triggered by climate change and the increasing domestic water consumption have placed higher demands on sustainable water services. The establishment of “Resilient Cities” provides overall guidance on future directions of water affairs. Literature reviews were designed to transform the concept of resilient cities into waterworks from the dimensions and properties. Then the concept of “Resilient Water Affairs” was put forward. Evaluation indicators of resilient water affairs were summarized based on dimensions and properties to indicate the driving factors of the resilient water system. Finally, the future trends of resilient water affairs were proposed, which provides theoretical and technical support for establishing resilient water affairs.
A comparative study of different deep learning models for land use and land cover mapping of flood detention basin
Authors: Li Nan , Ma Jianwei , Huang Shifeng , Zhu He , Sun Yayong , Hu Mengcheng 
Published: November 2022

Abstract
Flood detention basin (FDB) is an important part of the flood control system in the basin. It is of great significance for scientific flood control to obtain the land use and land cover (LULC) classification map of FDB with higher accuracy quickly and accurately. In recent years, deep learning has shown great potential in LULC classification. In this study, we make LULC training dataset and explore three state-of-the-art (SOTA) DL architectures: Unet++, ResUnet++, DeepLab v3+ across Mengwa FDB. The experiments show all methods used in this study are available for LULC classification, which overall accuracy is ResUnet++(95.11%), Unet++(91.92%), DeepLab v3+ (91.04%) and kappa coefficient is ResUnet++(0.91), Unet++(0.85), DeepLab v3+ (0.83). Deep learning methods can be used for automatic extraction of LULC from high-resolution satellite images, providing data support for economic loss assessment and post disaster construction in flood storage areas.
Spatiotemporal characteristics analysis of ground subsidence in Wuhan based on SBAS-InSAR
Authors: Zhang Weiping , Zhou Lv , Liu Lilong , Zheng Mingming 
Published: November 2022

Abstract
Aiming at the problem of uneven ground subsidence in Wuhan, using the Sentinel-1A SAR image data of 36 scenes from July 2017 to June 2020, the SBAS-InSAR was used to extract the ground subsidence information in Wuhan. Influence of factors such as urban construction, industrial development, rainfall, and carbonate karstification on subsidence. The results show that SBAS-InSAR can effectively monitor the ground subsidence in Wuhan. There is a high correlation between ground subsidence and seasonal changes, and the subsidence time series shows a nonlinear downward trend with seasonal changes. Human activities have a serious impact on ground subsidence, and the spatial distribution of the subsidence funnel area is closely related to the geographical location of the industrial area. Among natural factors, rainfall plays a dominant role in the seasonal component of ground subsidence, and karstification has a greater impact on the area along the river. The two influencing factors jointly caused the uneven subsidence of the ground in Wuhan. The experimental results can provide a certain reference for the follow-up subsidence early warning and urban construction planning in Wuhan.