bluuebunny/crossref_metadata_2025_split huggingface dataset:
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: April 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: April 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 Zimbabwe (#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 , Cronin Jen , Hirmer Stephanie 
Published: April 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 Zimbabwe, 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 Sudan (#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: April 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 Sudan, 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 Senegal (#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: April 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 Senegal, 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 Togo (#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: April 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 Togo, 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 Guinea-Bissau (#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: April 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 Guinea-Bissau, 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.
Development of red blood cell autoantibodies following treatment with checkpoint inhibitors: a new class of anti-neoplastic, immunotherapeutic agents associated with immune dysregulation
Authors: Cooling L.L.W. , Sherbeck J. , Mowers J.C. , Hugan S.L. 
Published: April 2021

Abstract
Ipilimumab, nivolumab, and pembrolizumab represent a new class of immunotherapeutic drugs for treating patients with advanced cancer. Known as checkpoint inhibitors, these drugs act to upregulate the cellular and humoral immune response to tumor antigens by inhibiting T-cell autoregulation. As a consequence, they can be associated with immune-related adverse events (irAEs) due to loss of self-tolerance, including rare cases of immune-related cytopenias. We performed a retrospective clinical chart review, including serologic, hematology, and chemistry laboratory results, of two patients who developed red blood cell (RBC) autoantibodies during treatment with a checkpoint inhibitor. Serologic testing of blood samples from these patients during induction therapy with ipilimumab and nivolumab, respectively, showed their RBCs to be positive by the direct antiglobulin test (IgG+, C3+) and their plasma to contain panreactive RBC autoantibodies. Neither patient had evidence of hemolysis. Both patients developed an additional irAE during treatment. A literature review for patients who had developed immune-mediated cytopenia following treatment with a checkpoint inhibitor was performed. Nine other patients were reported with a hematologic irAE, including six with anemia attributable to autoimmune anemia, aplastic anemia, or pure RBC aplasia. Hematologic irAEs tend to occur early during induction therapy, often coincident with irAEs of other organs. In conclusion, checkpoint inhibitors can be associated with the development of autoantibodies, immune-mediated cytopenias, pure RBC aplasia, and aplastic anemia. Immunohematology reference laboratories should be aware of these agents when evaluating patients with advanced cancer and new-onset autoantibodies, anemia, and other cytopenias.
Immunohematology

2017;33:15–21.
The Vel blood group system: a review
Authors: Storry J.R. , Peyrard T. 
Published: April 2021

Abstract
The blood group antigen Vel has been one of immunohematology’s greatest enigmas: the variation in antigen strength from one individual to another, the property of anti-Vel to readily hemolyze Vel+ red blood cells (RBCs), and the difficulty to screen for sufficient numbers of Vel– blood donors had made Vel a tough nut to crack. In 2013, a small, previously unknown protein called small integral membrane protein 1 (SMIM1) was identified on the RBC by three independent research groups using different approaches, and all three groups demonstrated that Vel– RBCs lacked SMIM1. This discovery correlated with homozygosity for deletion c.64_60del in SMIM1 and meant that for the first time there was a universal method to screen for Vel– blood donors. This finding was not the whole answer, however, and an explanation behind the variability in antigen strength was later shown to be due to polymorphism in SMIM1 intron 2, a region that is responsible for gene transcription. Clinically, anti-Vel is important and has caused severe transfusion reactions, although hemolytic disease of the fetus and newborn caused by anti-Vel is uncommon. However, while screening for Vel– blood donors has become easier, the function of SMIM1 is still unknown, and despite its well-conserved sequence across the animal kingdom, the enigma continues.
Immunohematology

2017;33:56–59.
Two cases of the variant RHD*DAU5 allele associated with maternal alloanti-D
Authors: Duncan J.A. , Nahirniak S. , Onell R. , Clarke G. 
Published: April 2021

Abstract
Rh is a complex blood group system with diverse genotypes that may encode weak and partial D variants. Standard serologic analysis may identify clinically significant D variants as D+; nevertheless, individuals with these D variants should be managed as D– patients to prevent antibody formation to absent D epitopes. Variant identification is necessary during pregnancy to allow for timely and appropriate Rh immune globulin (RhIG) prophylaxis for hemolytic disease of the fetus and newborn (HDFN) as D alloimmunization can occur with some D variants. Here, we describe two cases of the RHD*DAU5 allele associated with maternal alloanti-D in patients of African ancestry. Two obstetric patients were initially serologically classified as D+ with negative antibody detection tests on routine prenatal testing. Repeat testing at delivery identified anti-D in both patients with no history of RhIG administration or transfusion. DNA sequencing revealed that both patients possessed the RHD*DAU5 allele. Cord blood testing on both infants revealed positive direct antiglobulin test (DAT) results with anti-D eluted from the red blood cells (RBCs) of one of the infants. Despite the positive DAT, neither infant experienced anemia or hyperbilirubinemia. We document two cases of pregnant women whose RBCs expressed a partial D variant and were classified as D+ on the basis of standard serologic testing, resulting in subsequent failure to provide RhIG prophylaxis. Both cases were associated with alloanti-D formation but without significant HDFN. To our knowledge, these are the first reported cases of maternal alloanti-D associated with the RHD*DAU5 partial D variant.
Immunohematology

2017;33:60–63.
The FORS awakens: review of a blood group system reborn
Authors: Hult A.K. , Olsson M.L. 
Published: April 2021

Abstract
The presence of the FORS1 antigen on red blood cells was discovered relatively recently, and in 2012, the International Society of Blood Transfusion (ISBT) acknowledged FORS as blood group system number 031. This rare antigen is carried by a glycosphingolipid and formed by elongation of the P antigen. Most people have naturally occurring anti-FORS1 in their plasma. The clinical significance of these antibodies is unknown in the transfusion setting, but they can hemolyze FORS1+ erythrocytes in the presence of complement in vitro. First believed to be part of the ABO system, it was later shown that the gene encoding the glycosyltransferase giving rise to FORS1 expression is GBGT1. This gene had previously been deemed nonfunctional in humans, but a mutation, so far only detected in FORS1+ individuals, restores the enzymatic activity. Tissue distribution of the antigen in FORS1+ individuals has not been studied in detail, although the gene is expressed in several cell types. The antigen itself is known to be a receptor for various pathogens and toxins and has been detected in different forms of cancer, but the implications thereof are not fully understood.
Immunohematology

2017;33:64–72.
ABO serology in a case of persistent weak A in a recipient following a group O–matched unrelated bone marrow transplant
Authors: Grey D.E. , Fong E.A. , Cole C. , Jensen J. , Finlayson J. 
Published: April 2021

Abstract
HLA-matched hematopoietic stem cell transplantation (HSCT) from red blood cell (RBC)-incompatible donors is not uncommon. The engraftment process following ABO-incompatible allogeneic HSCT results in the transition from patient blood group to donor blood group in the recipient. In contrast, most non-hematopoietic tissues retain expression of the patient’s original blood group for life, and these antigens may adsorb from the plasma onto the donor-derived RBCs. Correct serologic interpretation of the ABO blood group during this engraftment process can be difficult. We present the serologic findings of a 15-year-old girl of Maori descent, who was diagnosed with acute myeloid leukemia and transplanted with an HLA-matched unrelated group O, D+ bone marrow. Despite engraftment, her RBCs showed persistence of weak A. This case report showcases the importance of awareness and correct serologic interpretation of weak persistence of recipient ABH substance on the patient’s RBCs for clinical decision-making, blood component support, and patient well-being.
Immunohematology

2017;33:99–104.
Human platelet antigen allelic diversity in Peninsular Malaysia
Authors: Syafawati W.U.W. , Zefarina Z. , Zafarina Z. , Hassan M.N. , Norazmi M.N. , Panneerchelvam S. , Chambers G.K. , Edinur H.A. 
Published: April 2021

Abstract
Human platelet antigens (HPAs) are polymorphic and immunogenic glycoproteins encoded by biallelic genes on human chromosome 17 (HPA-1 to -4 and HPA-6 to -11), chromosome 5 (HPA-5), and chromosome 6 (HPA-15) and expressed on the surface of platelets. In the present study, we typed seven HPA loci (HPA-1 to -6 and HPA-15) by polymerase chain reaction using sequence-specific primer and sequence-based typing in 166 blood samples representing three Orang Asli groups (Semang, Senoi, and Proto-Malays) that inhabit Peninsular Malaysia. Combined with previous HPA data collected for Malay subethnic groups, Malays, Chinese, and Indians, our analyses showed high genetic diversity in Peninsular Malaysia, which is consistent with multiple settlements of the region by several founding ancestors (Semang, Senoi, and Proto-Malays) in the last 50,000 years. The gene pools of these ancient populations were then further shaped by various evolutionary pressures such as repeated founder effects, natural selection, and admixture with the relatively recent arrivals such as Chinese, Indians, and Malay subethnic groups. Medical consequences of this genetic complexity are also discussed, including the risks of platelet alloimmunization associated with random platelet transfusion and gestation.
Immunohematology

2016;32:143–160.
Elastic geobarometry: How to work with residual inclusion strains and pressures
Authors: Gilio Mattia , Angel Ross J. , Alvaro Matteo 
Published: April 2021

Abstract
A continuously increasing number of research groups are adopting elastic geobarometry for retrieving pressures and temperatures of entrapment of inclusions into a host from both natural and experimental samples. However, a few misconceptions of some of the general concepts underlying elastic geobarometry are still widespread. One is the difference between various approaches to retrieve the residual pressures and residual strains from Raman measurements of inclusions. In this paper, the estimation of uncertainties and the validity of some general assumptions behind these methods are discussed in detail, and we provide general guidelines on how to deal with inclusion strain, measurements, inclusion pressure, and their uncertainties.