bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Stabilization Algorithm for Mechanical Systems with Underactuation Degree One based on Controlled Lagrangians
Authors: Chen guanjun , Huo wei 
Published: May 2021

Abstract
A new stabilization control algorithm based on controlled Lagrangian method for a class of mechanical systems with underactuation degree one is presented in this paper. Firstly, a desired controlled system with the Lagrangian structure and desired properties is constructed. By equating the underactuated system with the desired system, the matching condition and controller structure are determined. A sufficient condition for the matching condition to be held is derived, and from the sufficient condition desired kinetic energy, potential energy, gyroscopic forces and dissipative forces of the desired system can be solved explicitly. Compared with the existing matching conditions, to solve proposed sufficient condition at most two partial differential equations needs to be solved, and the rests are all algebraic equations, which is easier to solve.

An algorithm to solve this sufficient condition is given in detail, and a nonlinear smooth feedback control law can be obtained to stabilize the underactuated systems. Finally, the novel control algorithm is applied to achieve almost global stability for a vertical takeoff and landing aircraft and to locally stabilize a Pendubot with two degrees of freedom at the highest point. Simulation results demonstrate effectiveness of the proposed method.
Impacts of Temporal Changes in Land use/cover on the Remaining Historical Forests in a Rapidly Urbanizing area
Authors: Yang Jingyi , Wu Feng 
Published: May 2021

Abstract
Background: Remaining historical forests are crucial for maintaining biodiversity in urban areas. However, the integrity and stability of historical forests are affected by land use/cover change in various ways. A better understanding of these impacts can help guide targeted conservation. Methods: In this study, we estimated the loss of forestlands and levels of threats and analysed the importance of critical areas for historical forests in the built-up area of a rapidly urbanizing city—Guiyang, China. Results and Conclusions: The results showed that 1988.46 ha of historical forestlands was transformed into other land use/cover types. The number of patches smaller than 10 ha increased by 51% from 1976 to 2018. The lands of 36 historical forest patches were completely transformed into other land use/cover types during the past 42 years. The mean value of the threat index of all the historical forest patches increased by 33% compared to the baseline year. Core and bridge areas regarded as key nodes and links for the connectivity of forest networks decreased in area by 632.34 and 331.92 ha, respectively. Most of the critical areas with high importance values for connectivity were located in the central part of the city. They were severely threatened by the surrounding areas, having high threat index values. Based on these findings, we recommend that effective measures be implemented to control the further loss of historical forests and increase the connectivity and buffering capacity of the remaining forests by planting trees in some key locations.
Competency development for military nursing: developing the competency framework for global health
Authors: Ma Huijuan , Cheng Zhen , Tan Jing , Luo Yu 
Published: May 2021

Abstract
Background As military nurses are required to maintain high level of clinical expertise and currency for short-notice deployments of global health missions, competency assessment and capability building is a basic paradigm of military nursing. However, research focusing on the competencies of military nurses is limited. Methods: A two-phased procedure was implemented. In phase 1, the competency framework was developed by scoping review and crosschecking the common used competency framework of nurses. During phase 2, two rounds of a Delphi process were carried out and a penal of experts used a 5-point Likert scale to rate their level of agreement with the competency statement. Results:Experts of military nursing and military medicine responded to the first round (n = 19), and the second round (n = 19). The final competency framework consisted of 67 competencies and was classified into five domains: clinical nursing knowledge and skills, military nursing knowledge and skills, professional ability, management ability, and comprehensive quality. Conclusion: The competency framework developed in this study lays solid foundation for competency-based education of a competent nursing team to play a significant role in the global health.
Analysis of the fairness of child health services in China 2010-2019
Authors: Wu Ji , Jin Hao-Nan , Lao Yi-Lei , Qu Xian-Guo 
Published: May 2021

Abstract
Background

The imbalance of child health services caused by the huge income gap between urban and rural residents and uncoordinated regional development has become increasingly prominent. This article analyzes the basic situation and equity of child care services in China from 2010 to 2019.
Methods

Evaluate the equity of child health services by concentration index.
Results

From 2010 to 2019, neonatal visit rate and system management rate of under-three children in Chinese child health service projects showed an upward trend, and the perinatal mortality rate decreased. The perinatal mortality rate is the highest in the western region, and the level of child health services in the central region is lower than the national average, but the gap between regions has gradually decreased. Child health services concentrate in provinces with high economic levels, and the perinatal mortality rate is the most unfair.
Conclusion

The decline in the mortality rate of under-five children is related to the improvement in the child health services. We should improve the health services of perinatal infants and pay attention to the health of children aged 1 to 4 years. The fairness of child health service is affected by the two-child policy. We should rationally allocate resources and strengthen support for the central and western regions.
Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
Authors: Burdet Nicolas Georges , Esposito Vincent , Seaberg Matthew , Yoon Chun Hong , Turner Joshua 
Published: May 2021

Abstract
X-ray photon fluctuation spectroscopy (XPFS) using a two-pulse mode at the Linac Coherent Light Source has great potential for the study of quantum fluctuations in materials as it allows for exploration of low-energy physics. However, the complexity of the data analysis and interpretation still prevent recovering real-time results during an experiment, and can even complicate post-analysis processes. This is particularly true for high-spatial resolution applications using CCDs with small pixels, which can decrease the photon mapping accuracy resulting from the large electron cloud generation at the detector. Droplet algorithms endeavor to restore accurate photon maps, but the results can be altered by their hyper-parameters. We present numerical modeling tools through extensive simulations that mimic previous fluctuation spectroscopy experiments. By a modification of a fast droplet algorithm, our results demonstrate how to optimize the precise parameters that lift the intrinsic counting degeneracy impeding accuracy in extracting the speckle contrast. These results allow for an absolute determination of the summed contrast from multi-pulse x-ray speckle diffraction, the modus operandi by which the correlation time for spontaneous fluctuations can be measured.
Selected ‘Starter Kit’ energy system modelling data for Chad (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Chad, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Djibouti (#CCG)
Authors: Cannone Carla , Allington Lucy , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Djibouti, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Equatorial Guinea (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Hirmer Stephanie 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Equatorial Guinea, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Nigeria (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Nigeria, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Sierra Leone (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Sierra Leone, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Identification and validation of signal recognition particle 14 as a prognostic biomarker predicting overall survival in patients with acute myeloid leukemia
Authors: Shi Lingling , Huang Rui , Lai Yongrong 
Published: May 2021

Abstract
Background This study aimed to determine and verify the prognostic value and potential functional mechanism of signal recognition particle 14 (SRP14) in acute myeloid leukemia (AML) using a genome-wide expression profile dataset.Methods We obtained an AML genome-wide expression profile dataset and clinical prognostic data from The Cancer Genome Atlas (TCGA) and GSE12417 databases, and explored the prognostic value and functional mechanism of SRP14 in AML using survival analysis and various online tools.Results Survival analysis showed that AML patients with high SRP14 expression had poorer overall survival than patients with low SRP14 expression. Time-dependent receiver operating characteristic curves indicated that SRP14 had good accuracy for predicting the prognosis in patients with AML. Genome-wide co-expression analysis suggested that SRP14 may play a role in AML by participating in the regulation of biological processes and signaling pathways, such as cell cycle, cell adhesion, mitogen-activated protein kinase, tumor necrosis factor, T cell receptor, DNA damage response, and nuclear factor-kappa B (NF-κB) signaling. Gene set enrichment analysis indicated that SRP14 was significantly enriched in biological processes and signaling pathways including regulation of hematopoietic progenitor cell differentiation and stem cell differentiation, intrinsic apoptotic signaling pathway by p53 class mediator, interleukin-1, T cell mediated cytotoxicity, and NF-κB-inducing kinase/NF-κB signaling. Using the TCGA AML dataset, we also identified four drugs (phenazone, benzydamine, cinnarizine, antazoline) that may serve as SRP14-targeted drugs in AML.Conclusion The current results revealed that high SRP14 expression was significantly related to a poor prognosis and may serve as a prognostic biomarker in patients with AML.
Remediation of Pb2+ and Cd2+ using rice husk biochar produced at low temperatures
Authors: Samuel Melvin S. , Kirankumar V.S. , Ethiraj Selvarajan 
Published: May 2021

Abstract
In this study, biochar was obtained under mild conditions by pyrolysis treatment (350 oC) of rice husk, providing energy-efficient and low-carbon footprint synthesis. The pyrolyzed biochar was selected as the basis for solvothermal reaction to combine with ferrite in which the abundant functional groups would facilitate the removal of lead (Pb2+) and cadmium (Cd2+). Biochar/Ferrite (MBC) has special physicochemical properties and characterized by XRD, FT-IR, SEM, TEM, and BET. The sorption possessions of the magnetic biochar (MBC) towards the heavy metals Pb2+ and Cd2+ were validated by the batch sorption process. The findings of the batch sorption kinetics propose the mechanism of sorption follows a pseudo-second-order model. The Langmuir and Freundlich isotherm models applied to the sorption equilibrium data for assessment of sorption potential and related mechanism. These findings showed that the sorption occurred through physical and chemical connections among Pb2+ and Cd2+ through MBC functional groups. Pb2+ and Cd2+ had a sorption potential of 147 mg/g, 104 mg/g at pH 5.5, and 300 k. The synthesized MBC was tested for recovery of heavy metal from industrial effluent, and successfully recovered 80% of heavy metals Pb2+ and Cd2+. Finally, the findings obtained showed the MBC adsorbent's ability for extracting trace heavy metals from industrial effluent.
Study on Settlement Characteristics of Mudstone Embankment
Authors: xinghua Ju , zhijun Qiu , xiaohua Yang 
Published: May 2021

Abstract
It is in line with the concept of sustainable development to fill embankment with mudstone waste slag. However, the property of mudstone softening and disintegrating in water may affect the operation quality of the road. Relying on the Hechang Highway project, the engineering properties of mudstone filler and the settlement characteristics of embankment are studied by centrifugal model test and field test. The results showed that: under Optimum moisture content, the settlement of mudstone embankment mainly occurred in the filling stage (accounting for 62.96% of the total), and it could reach stability after 24 months of operation. The embankment settlement in cross-section showed the trend of "upward concave", and the settlement difference is not significant. Under continuous rainfall condition, the settlement mainly occurred in the operation stage (accounting for 49.05% of the total), and it could reach stability after 44 months of operation, in cross-section showed the trend of "M", the largest settlement at the shoulder. The trend of the basement earth pressure and the settlement on top of embankment is basically the same. Under continuous rainfall condition, the basement earth pressure is more concentrated toward the road centerline. It can be seen that rainfall has a certain influence on the strength and stability of mudstone embankment. The above research results provided a reliable basis for the design of embankment filled with mudstone waste.