bluuebunny/crossref_metadata_2025_split huggingface dataset:
Symptomatic Discal Pseudocyst after Percutaneous Endoscopic Lumbar Discectomy: 3 Case reports and retrospective review analysis
Authors: Wu Hai-ting , Wang Yun 
Published: May 2021

Abstract
Objective To investigate the clinical features and treatment of post-discectomy symptomatic Discal Pseudocyst after percutaneous endoscopic lumbar discectomy.Methods A retrospective analysis of the data of 3 patients with concurrent symptomatic discal pseudocyst after percutaneous endoscopic lumbar discectomy revealed that all patients were female and had unilateral radiculopathy due to single-segmental lumbar disc herniation. Symptoms were alleviated obviously after the first operation, but pains recurred and even worse than before. The mean recurrence time was 5 weeks (2–8 weeks). Post-operative MRI showed quasi-circular occupancy in the original surgical area (low signal on T1-weighted image, high signal on T2-weighted image, same as cerebrospinal fluid), and communicating with the intervertebral disc.Results The symptoms of two patients gradually alleviated after conservative treatment, and the follow-up MRI showed that the cyst had completely absorbed within one year. Another patient underwent percutaneous endoscopic transforaminal cyst excision under local anesthesia again. Round-like tumors were found in the operation, with dark red and viscous contents. Postoperative cyst wall pathology suggested fibrous cyst wall tissue, and postoperative symptoms were relieved immediately. Cystic space occupancy disappeared after 6 months follow-up.Conclusion The concurrent symptomatic discal pseudocyst after percutaneous endoscopic lumbar discectomy are rare and often occur in the early postoperative period, and can be clearly diagnosed by MRI examination. Patients who fail to respond to conservative treatment may require surgical treatment and have a good prognosis.
Severe NEUROG3 mutation underlies pancreatic endocrine and exocrine insufficiency
Authors: Georgia Senta , Millette Katelyn , Zheng Yuhua , Vogt Kyle , Liu Cambrian , Austin Juliana , Zhou Shengmei , Martin Martin 
Published: May 2021

Abstract
Patients with NEUROG3 mutations suffer from diabetes mellitus due to pancreatic endocrinopathy and chronic malabsorptive diarrhea due to enteric endocrinopathy. We have identified a severe truncation mutation in NEUROG3 (P39PfsX38) that results in pancreatic exocrine insufficiency and significantly contributes to chronic malabsorptive diarrhea. We identified this novel phenotype by interrogating induced pluripotent stem cells from the NEUROG3-P39PfsX38 patient’s fibroblasts and an isogenic “wild-type” control cell line generated via CRISPR-Cas9 gene editing. We discovered that NEUROG3- P39PfsX38 lines failed to activate pancreatic progenitor and differentiated lineage markers, suggesting that the mutation may disrupt pancreatic organogenesis and could result in endocrine and exocrine dysfunction. Isogenic corrected cell lines differentiated into all pancreatic lineages. Clinical assessments concluded that the patient has exocrine pancreatic insufficiency. Treatment with pancreatic enzyme replacement therapy improved patient outcomes, including weight gain, fat absorption, and resolution of fat-soluble vitamin deficiency. These results expose a novel role for NEUROG3 in human pancreatic differentiation and illustrate how patient-specific stem cells can be used to interrogate disease etiology and affect patient care.
Modeling and Analysis of Network Direct Reporting Security of Infectious Diseases based on Wireless Communication Technology
Authors: Zhang Yanling , Zhang Ting 
Published: May 2021

Abstract
In order to solve the problem of low security in the process of direct reporting of traditional infectious diseases, the corresponding network direct report security model is established by wireless communication technology. According to the network structure of infectious diseases, the transmission path of the information of direct report of epidemic situation is determined, and the data of direct report of epidemic situation is obtained by wireless communication technology. On this basis, the security risk level of wireless communication network is divided. This paper analyzes the negative factors that affect network security from hacker attack, high risk vulnerability of software and user information tampering. Combined with the analysis results of multiple security mechanisms of the direct report network of infectious diseases, the quantitative evaluation of network security is realized, that is, the modeling and analysis of the network direct report security of infectious diseases is realized. Compared with traditional security model, it is found that the network direct report security model can reduce the loss and error of infectious disease data, which has a high application value.
A study on the amyloid toxicity in Alzheimer’s disease model of APPL-Gal4 Drosophila eye
Authors: G.K. Pratap , Shantaram Manjula 
Published: May 2021

Abstract
Alzheimer’s disease (AD) is one of the most prevalent neurodegenerative disorders. The pathogenesis involves two hallmarks: amyloid-beta aggregation (Aβ) and neurofibrillary tangles (NFTs). This has incited the use of animal models to mirror the disease. The fruit fly, Drosophila melanogaster has garnered considerable attention as an organism to recapitulate human disorders. Drosophilaisusedas novel genetic tools for studying cellular aspects and behavioural and physiological traits of human neurodegenerative diseases. Here, authors use the Drosophila model in understanding AD pathology and the insights were gained in drug discovery for AD therapy
Method of variable separation for investigating exact solutions and dynamical properties of the time-fractional Fokker-Planck equation
Authors: Yang Xinsong , Rui Weiguo , Chen Fen 
Published: May 2021

Abstract
Based on the idea of variable separation, the time-fractional Fokker-Planck equation with external force field is studied by using the property of Mittag-Leffler function and some special algorithm skills. In the cases of various external potential functions such as linear potential, harmonic potential, logarithmic potential, exponential potential, and quartic potential, exact solutions and dynamical properties of the above mentioned equation is investigated. The some interesting dynamical behaviors and phenomena are discovered. The profiles of some representative exact solutions are illustrated by 3D-graphs.
Impact of Stochastic Entrainment in the NCAR CAM Deep Convection Parameterization on the Simulation of South Asian Summer Monsoon
Authors: PATHAK RAJU , Sahany Sandeep , Mishra Saroj Kanta 
Published: May 2021

Abstract
Model simulations are highly sensitive to the formulation of the atmospheric mixing process or entrainment in the deep convective parameterizations used in their atmospheric component. In this paper, we have implemented stochastic entrainment in the deep convection scheme of NCAR CAM5 and analyzed the improvements in model simulation, focusing on the South Asian Summer Monsoon (SASM), as compared to the deterministic entrainment formulation in the default version of the model. Simulations using stochastic entrainment (StochCAM5) outperformed default model simulations (DefCAM5), as inferred from multiple metrics associated with the SASM. StochCAM5 significantly alleviated some of the longstanding SASM biases seen in DefCAM5, such as precipitation pattern and magnitude over the Arabian Sea and western Equatorial Indian ocean, early monsoon withdrawal, and the overestimation (underestimation) in the frequency of light (large-to-extreme) precipitation. Related SASM dynamical and thermodynamical features, such as Somali Jet, low-level westerly winds, and meridional tropospheric temperature gradient (MTTG), are improved in StochCAM5. Further, the simulation of monsoon intra-seasonal oscillation (MISO), Madden Julian Oscillation (MJO), and equatorial Kelvin waves are improved in StochCAM5. Many essential climate variables, such as shortwave and longwave cloud forcing, cloud cover, relative and specific humidity, and precipitable water, show significant improvement in StochCAM5.
Identification of QTL for resistance to head smut in Maize(Zea mays. L)
Authors: Qiu Hongbo , Tan Kang , Li Chunhong , Shen Tao , Zhang Zhi 
Published: May 2021

Abstract
Head smut (HS) is one of the most devastating diseases in spring maize growing region. To provide theoretical and applied basics for breeding resistant maize to HS, quantitative trait loci (QTL) for HS resistance was identified in this study. The resistant QTL to HS was studied by the F2:3 population derived from the cross T32 (highly resistant genotype) × HC (highly susceptible genotype). Analysis for each environment and joint analysis across three environments were used to identify QTL for the F2:3 population. A significant difference in HS resistance was found between inbred lines ‘T32’ and ‘HC’. A large genetic variation and transgressive segregation of the F2:3 population were observed among three different sites, Guian (GA), Huaxi (HX), and Pingba (PB). Two stable QTL for resistance to HS were detected in different environments, located in the interval umc1177 to umc2224 on chromosome 1 and in the interval umc1006 to nc013 on chromosome 6. Both of these QTL can be used for further marker-assisted selection (MAS) breeding and theoretical study of maize resistance to HS.
Process-related impurities in the ChAdOx1 nCov-19 vaccine
Authors: Krutzke Lea , Roesler Reinhild , Wiese Sebastian , Kochanek Stefan 
Published: May 2021

Abstract
Sinus venous thrombosis has been linked to immunization with the ChAdOx1 nCov-19 vaccine. The initial trigger for this serious adverse event has not been determined. We analyzed the ChAdOx1 nCov-19 vaccine by biochemical and proteomic methods. We found that the vaccine, in addition to the adenovirus vector, contains substantial amounts of both human and non-structural viral proteins. Among the human proteins, heat-shock proteins and cytoskeletal proteins were particularly abundant. The often-observed strong clinical reaction one or two days after vaccination is likely associated with the detected protein impurities. A linkage to later immune-related adverse events is also conceivable. The here reported identification of specific classes of protein impurities should guide and accelerate efforts to increase the purity of the vaccine and increase its safety and efficacy.
Selected 'Starter Kit' energy system modelling data for Angola (#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. This article therefore provides data that can be used to create a simple zero order energy system model for Angola, 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 Botswana (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Walker Miriam Zachau , Ahsan Aniq , Hirmer Stephanie , 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 
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 Botswana, 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 Burkina Faso (#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 Burkina Faso, 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 Congo Republic (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Halloran Claire , Charbonnier Flora , Hirmer Stephanie , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Taliotis Constantinos , 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 Congo Republic, 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 Malawi (#CCG)
Authors: Cannone Carla , Allington Lucy , 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 Malawi, 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 Mauritania (#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. This article therefore provides data that can be used to create a simple zero order energy system model for Mauritania, 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 Ethiopia (#CCG)
Authors: Cannone Carla , Allington Lucy , 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 Ethiopia, 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.