bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preexisting autoimmune disease is a risk factor for immune-related adverse events: a meta-analysis
Authors: Yamaguchi Atsushi , Saito Yoshitaka , Okamoto Keisuke , Narumi Katsuya , Furugen Ayako , Takekuma Yoh , Sugawara Mitsuru , Kobayashi Masaki 
Published: May 2021

Abstract
Purpose Patients with preexisting autoimmune disease (PAD) are often excluded from clinical trials assessing immune checkpoint inhibitors (ICIs). Therefore, the safety of ICI therapy in patients with PAD remains unclear. Herein, we evaluated the incidence of immune-related adverse events (irAEs) in patients with PAD when compared with non-PAD patients.Methods We searched MEDLINE/PubMed, Web of Science, and Google Scholar for eligible studies from inception to January 2021. Observational studies reporting the incidence of irAEs in patients with and without PAD were included. We then performed a meta-analysis of eligible studies using forest plots. The primary endpoint of this study was the incidence rate of irAEs between patients with and without PAD.Results We identified three prospective and three retrospective studies involving 206 patients with PAD and 3078 patients without PAD. In the meta-analysis, 128 patients with PAD (62.1%) experienced irAEs, which occurred in 51.9% of non-PAD patients, resulting in an odds ratio (OR) of 2.14 (95% confidence interval [CI] 1.58–2.89). In the subgroup analysis, the incidence of irAEs was significantly higher in patients with PAD (OR = 2.19, 95% CI [1.55–3.08]). Furthermore, no significant heterogeneity or publication bias was detected, indicating that our meta-analysis could be generalized to clinical settings.Conclusion This meta-analysis demonstrated that PAD was a risk factor for irAE incidence. These results suggest that monitoring the occurrence of irAEs in patients with PAD is required to manage irAEs appropriately.
Construction of conductive hydroxyethyl cellulose/soy protein isolate/polypyrrole composite sponges and their performances
Authors: Zhao Yanteng , Yang Qiankun , Cheng Qianqian , Ai Junjie , Feng Mengna , Wang Chengshuang , Lv Xianping , He Meng , Chen Yun 
Published: May 2021

Abstract
In the present study, we have in situ synthesized polypyrrole (PPy) on the hydroxyethyl cellulose/soy protein isolate (HEC/SPI) sponges to construct electro-conductive HEC/SPI/PPy composite sponges (EHSS-Pn, n༞0). The composite sponges were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), conductivity and mechanical tests. The results indicated that EHSS-Pn still exhibit homogenous inter-connected macroporous structure for cell adhesion, proliferation and metabolism, indicating that the incorporation of PPy didn’t break the original HEC/SPI sponge structure. The electrical conductivity and mechanical properties of the HEC/SPI sponge were improved significantly by the incorporation of PPy. Cytocompatibility and hemocompatibility of all the sponges were evaluated by a series of in vitro experiments. The results of MTT assay and cell direct contact tests showed that the introduction of PPy didn’t cause any cytotoxicity and EHSS-Pn had good biocompatibility. Moreover, EHSS-Pn had good hemocompatibility and no significant side effects on the anticoagulant whole blood with the introduction of PPy. Therefore, the electro-conductive EHSS-Pn showed potential application in the tissue engineering field that requires electrical conductivity for stimulation or sensing such as neural tissue restoration.
Different Climatic Effects of the Arctic and Antarctic ice Covers on Land Surface Temperature in the Northern Hemisphere: Application of Liang-Kleeman Information Flow Method and CAM4.0
Authors: Jiang Shunyu , HU Haibo , Perrie William , Zhang Ning , Bai Haokun , Zhao Yihang 
Published: May 2021

Abstract
Ice covers in high latitudes play important role in the global atmospheric circulation and abnormal temperature distribution. The observations have revealed the differences in the interannual variability of the Arctic and Antarctic ice covers, but their respective climate effect is not clear. The Liang-Kleeman information flow method is used to reveal the causal relationships from the sea ices of the Arctic and Antarctic to the global air temperature. The results point out that changes of the Arctic or Antarctic sea ices both have significant impacts on the global air temperature. Especially for the air temperature in East Asia and North America, the interannual variation of the Antarctic sea ice has an even stronger impact than the Arctic ice covers. This causality is further proved by the General Atmospheric Circulation Model (CAM4.0). In the numerical experiments, the ice covers in Arctic and Antarctic are changed individually or simultaneously as the forcing fields, and then the respective climate effects are analyzed. The results show that both the Arctic and Antarctic ice cover variations can change the intensity of atmospheric baroclinic disturbance in mid-high latitudes of individual hemisphere, generating wave energy transmission across the equator in the meridional direction, and eventually causing air temperature anomalies in both hemispheres. Furthermore, the Antarctic ice covers are closer to the mid-high latitude atmospheric jets in the southern hemisphere. Therefore, the changes of Antarctic ice covers lead to a larger atmospheric wave-activity flux response, and quickly spread to the northern hemisphere, causing more significant temperature anomalies over the East Asia and North America.
The landscape of circulating platelet aggregates in COVID-19
Authors: Goda Keisuke , Zhou Yuqi , Nishikawa Masako , Kanno Hiroshi , Xiao Ting-Hui , Suzuki Takuma , Takizawa Shigekazu , Harmon Jeffrey , Ibayashi Yuma , Hiramatsu Kotaro , Nitta Nao , Kameyama Risako , Peterson Walker , Takiguchi Jun , Shifat-E-Rabbi Mohammad , Zhuang Yan , Yin Xuwang , Rubaiyat Abu , Deng Yunjie , Zhang Hongqian , Rohde Gustavo , Iwasaki Wataru , Yatomi Yutaka 
Published: May 2021

Abstract
A characteristic clinical feature of COVID-19 is the frequent occurrence of thrombotic events. Furthermore, many cases of multiorgan failure are thrombotic in nature. Since the outbreak of COVID-19, D-dimer testing has been used extensively to evaluate COVID-19-associated thrombosis, but does not provide a complete view of the disease because it probes blood coagulation, but not platelet activity. Due to this limitation, D-dimer testing fails to account for thrombotic events which occur despite low D-dimer levels, such as sudden stroke in young patients and autopsy-identified widespread microthrombi in multiple organs. Here we report the landscape of circulating platelet aggregates in COVID-19 obtained by large-scale single-cell image-based profiling and temporal monitoring of the blood of COVID-19 patients (n = 110). Surprisingly, our analysis shows the anomalous presence of excessive platelet aggregates in nearly 90% of all COVID-19 patients, including those who were not clinically diagnosed with thrombosis and those with low D-dimer levels (≤1 µg/mL). Additionally, results indicate a strong link between the concentration of platelet aggregates and the severity and mortality of COVID-19. Finally, high-dimensional analysis and comparison with other diseases reveal that COVID-19 behaves as a product of thrombosis (localized) and infectious diseases (systemic), as a cause of systemic thrombosis.
Analysis Combustion Efficiency in a Fluidized-Bed Combustor With a Modified Perforated Plate for Air Distribution
Authors: Erdiwansyah Erdiwansyah , Mahidin Mahidin , Husin Husni , Nasaruddin Nasaruddin , Muhtadin Muhtadin , Faisal M. , Gani Asri , Usman Usman , Mamat Rizalman 
Published: May 2021

Abstract

Combustion efficiency is one of the most important parameters, especially in the FBC combustion chamber. Investigations into the efficiency of combustion in FBC fuels using solid biomass waste fuels in recent years are increasingly in demand by researchers around the world. Specifically, this study aims to calculate the combustion efficiency in the FBC combustion chamber. Combustion efficiency is calculated based on combustion results from modification of hollow plates in the FBC combustion chamber. The modified hollow plate aims to control combustion so that the fuel incorporated can burn out and not saturate. The combustion experiments were tested using palm oil biomass solid waste fuels such as PKS, OPM, and EFB. The results of the measurements showed that the maximum combustion temperature for MCC fuel reached 863oC for M1 and 887oC on M2. The maximum combustion temperature measurements for M1 and M2 from OPM fuel testing reached 898oC and 858oC, respectively, while the maximum combustion temperature for EFB fuel was 667oC andM2 847oC, respectively. The rate of combustion efficiency with the modification of the hole plate in the FBC combustion chamber reached 96.2%. Thermal efficiency in FBC combustion chamber for OPM 72.62%, MCC 70.03%, and EFB 52.43%. The highest heat transfer rates for OPM fuel reached 7792.36 w/m, MCC 7167.38 w/m, and EFB 5127.83 w/m. Thus, modification of the holed plate in the FBC chamber showed better performance of the plate without modification.
Malignant cerebral infarction, systemic venous thrombosis and thrombocytopenia after ChAdOx1 nCov vaccination: a possible catastrophic variant of vaccine induced thrombotic thrombocytopenia
Authors: De Michele Manuela , Iacobucci Marta , Nicolini Ettore , Chistolini Antonio , Pulcinelli Fabio , Cerbelli Bruna , Merenda Elisabetta , Schiavo Oscar Gaetano , Sbardella Emilia , Berto Irene , Petraglia Luca , Caracciolo Nicoletta , Chiara Massimo , Truglia Simona , Toni Danilo 
Published: May 2021

Abstract
Vaccine induced thrombotic thrombocytopenia is a new syndrome recently described in young adults within two weeks from the first dose of the ChAdOx1 nCoV-19 vaccine and characterized by cerebral venous thrombosis. We report two cases of malignant middle cerebral artery (MCA) infarct and thrombocytopenia within 10 days after vaccination with ChAdOx1 nCoV-19. Patient 1 was a 57-year-old woman who underwent decompressive craniectomy despite two successful mechanical thrombectomies. Patient 2 was a 55-year-old woman who developed a fatal bilateral malignant MCA infarct. Both the patients had pulmonary and portal vein thrombosis and high level of antibodies to platelet factor 4-polyanion complexes.
Depressive Risk among Italian Socioeconomically Disadvantaged Children and Adolescents during Covid-19 Pandemic: A Cross-Sectional Online Survey
Authors: Serra Maria , Presicci Anna , Quaranta Luigi , Urbano Maria Rosaria Erminia , Marzulli Lucia , Matera Emilia , Margari Francesco , Margari Lucia 
Published: May 2021

Abstract
Background

Children and adolescents and low-income individuals are considered particularly vulnerable for mental health implications during the current COVID-19 pandemic. Depression is one of the most frequent negative emotional responses during an epidemic outbreak, mainly due to the imposed restriction of social contacts. We aimed to assess depressive symptomatology in a sample of Italian low-income minors and to determine if pandemic-related stressors and pre-existing neuropsychiatric diagnoses would behave as risk factors for depressive symptoms.
Methods

We performed a cross-sectional study during July 2020, at the end of the Italian first wave of COVID-19 pandemic. We recruited 109 Italian socioeconomically disadvantaged children and adolescents, from 7 to 17 years. We used an online survey to collect socio-demographic and clinical data and information about pandemic-related stressors, and to assess depressive symptoms with the Children’s Depression Inventory 2 (CDI 2), Parent Version (Emotional Problems subscale) and Self-Report Short Form. We performed logistic regression analysis to assess the association between depressive symptoms and potential risk factors for mental health.
Results

22% and 14% of participants showed depressive symptoms at the CDI 2 Parent Version and Self-Report, respectively. Participants coming from families experiencing a lack of basic supplies during the pandemic (34.9%) were more expected to show depressive symptoms at CDI 2 Parent Version. Participants with a pre-existing neuropsychiatric diagnosis (26.6%) were more likely to exhibit depressive symptoms measured by CDI 2 Parent Version.
Conclusions

The results of our study may be representative of a particular group of frail subjects, the socioeconomically disadvantaged children and adolescents, who were more vulnerable to depressive symptoms if they suffered from a paucity of essential supplies during the pandemic or had pre-existing neurodevelopmental disorders. The promotion of educational and child-care programs and activities could be crucial in sustaining the prevention of mental distress in those frail subjects who particularly need support outside the family.
Measurement of the diffusion coefficient in liquids using Fresnel diffraction from a phase step
Authors: Saber Ahad , Tavassoly Mohammad Taghi , Aalipour Rasoul 
Published: May 2021

Abstract
Fresnel diffraction from a phase step for measuring diffusion coefficient in transparent liquids is investigated. When a transparent glass plate immersed vertically in a cell containing two diffusing liquids is illuminated by a parallel beam of light, the diffraction pattern of the plate edge forms on a screen perpendicular to the beam direction and varies by diffusion. The gradient of the refractive index in the liquids is then obtained by analyzing the diffraction patterns at different times after the beginning of the diffusion process, from which the diffusion coefficient is determined. Using this method, we study the diffusion process of the sucrose-water solution and report the diffusion coefficient with a reliable accuracy.
Authentic Leadership Education: An empirical discussion from Pakistani higher education
Authors: Ekowati Dian , Shuairidi Fendy 
Published: May 2021

Abstract
The authentic style encourages leaders to be mindful of their strengths, weaknesses, and emotions, using practical methods for improving their leadership abilities. Identifying an authentic leader is a description of those who have positive beliefs, lead from the heart, set the highest standards of ethics and morality, and go beyond their interests for their followers' well-being. It is critical to understand where one stands on important moral and professional issues to become an authentic leader and then act on that knowledge. Authentic leaders, although specific characteristics, such as positive psychology, self-awareness, morals and ethics, and a person, transparency, and balanced processing; this study explores authentic leadership strengths and weakness empirically. The link between theory and practice applied settings and helps practitioners add value to professional growth has been discussed. The study also shed light on the importance of workforce development action plans, but the ties outlined herein show that casual relations and additional tests would help confirm the connections.
Selected ‘Starter Kit’ energy system modelling data for Morocco (#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 
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 Morocco, 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 Uganda (#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 Uganda, 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 South Africa (#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 South Africa, 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 Lesotho (#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 Lesotho, 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 Rwanda (#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 Rwanda, 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.