bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stress and anxiety resulting from COVID-19 in the Iranian population – a questionnaire-based study
Authors: sadeghi ali , naddab amir hossein gandjalikhan , hashemipour maryam 
Published: May 2021

Abstract
IntroductionThe COVID-19 disease, which has come to be known as Corona, is a new virus from the generation of coronaviruses. The aim of this study was investigated the stress and anxiety caused by COVID-19 among the Iranian population.Method and materialsThis is a cross-sectional and descriptive –analytical study with the available (easy) sampling method over the period of July 2020 to Jan 2021 on the Iranian population using a questionnaire. A researcher-made questionnaire was used. The data collection tool of this study was a questionnaire containing demographic information (age, gender, and marital status), general questions and questions related to the stress of COVID-19. The collected information were analyzed using t- test, chi2 and the SPSS21 software.ResultsIn the present study, 6752 questionnaires were distributed, 6534 of which were filled out. 3456 of the respondents were female and the remaining 3078 were male. The average age of participants was 39.41 ± 12.4. The results of this study showed that 98.2% (No: 6425) of the individuals agreed that their stress was related to this natural disease. The results showed that the stress caused by corona has the most significant impact on the social aspect and then on the physical behaviors of the patients. The present study showed that the average score obtained from the questionnaire was 97.2 ± 15.3 out of 130 which was an indication of high levels of stress caused by this disease. There was a significant relationship between the scores associated with gender(P = 0.001), job(P = 0.01), one’s infection(P = 0.001) and one’s family’s viral infection(P = 0.02).ConclusionIt seems that the psychological role of this disease on the people involved and on the public is completely known to everyone. In fact, it must be mentioned that focusing on the physical health structures and preventing the prevalence and treating this disease, special attention must be paid to the mental health of the society as well. For this purpose, basic psychological interventions and psychiatric disorders, including anxiety and depression, among members of a society seems necessary.
Selected ‘Starter Kit’ energy system modelling data for Burundi (#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 Burundi, 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 Central African Republic (#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 , Cronin Jen , 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 Central African 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 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.
Microstructure and magnetic properties of NiZn ferrite prepared by ultrafast pulse electric current sintering without pressure
Authors: Liu Guixiang , DAI Bo , REN Yong , ZHANG Kuibao , YE Dengjian , HU Chunfeng , ZHANG Weitong , FU Shuai 
Published: May 2021

Abstract
Polycrystalline nickel-zinc ferrite ceramics were prepared within tens of seconds via ultrafast pulse electric current sintering without pressure. The phase composition and microstructure of the samples were characterized by X-ray diffraction and scanning electron microscopy, respectively. The static magnetic properties and Curie temperature of the samples were investigated by vibrating sample magnetometry. The main phase of the sintered sample was the same as that of the raw powder, and the maximum relative density of the sample reached 95.72%. The densification and grain growth of the sample were accelerated through the synergistic effect of the energy concentration of pulse current heating and Joule heating that was generated by the sample. The grains at the edge of the sample were larger than those at the center, which was attributed to the uneven temperature distribution in a sintering sample. The slight differences in specific saturation magnetization and Curie temperature of the samples were attributed to the slight difference in sample phase composition that was caused by partial nickel-zinc ferrite decomposition and Zn volatilization during sintering. The inferred critical grain size between the dual- and mono-domain was ~ 450 nm. The ultrafast pulse electric current sintering technique has the advantages of a heating energy concentration, high heating rate and energy saving. The technique provides an effective approach to prepare compact and ultrafine grain ceramics rapidly.
Selected ‘Starter Kit’ energy system modelling data for Zambia (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Cronin Jen , 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 Zambia, 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.
The Combination of Demineralized Bone Matrix and Platelet Rich Plasma Used for The Treatment of Long Bone non-unions: Preliminary Data of a Case Series
Authors: Nie Wei , Cao Jiaqing , Wang Wei , Guo Yanjie , Zhang Chi , Jia Weitao , Li Xiaolin 
Published: May 2021

Abstract
Background: Although a variety of bone graft substitutes have been introduced into the treatment of bone non-unions, results from current clinical evidences are various and contradicting. This paper presents our experience and the outcomes about the combination of demineralized bone matrix (DBM) and platelet rich plasma (PRP) used as a bone graft substitute in the surgical treatment of long bone non-unions.Methods: Data of this retrospective study was reviewed and collected from a consecutive case series involving 16 patients who had a long bone non-union and treated in our department from October 2018 to May 2019. DMB and PRP were applied as a bone defect filler during the index operation. Patients’ demographics, postoperative complications and the result of bone union were evaluated.Results: The postoperative drainage exceeding 48 hours were demonstrated in 6 patients, but all removed within 7 days. Immediate postoperative complications were noted in 3 patients. Two of them developed incision exudation and delayed incision healing (exceed 2 weeks) and was cured with a course of local wound care. No graft rejection, heterotopic ossification or other complications were noted. Bony union was identified clinically and radiographically in 15 of the 16 patients, with a mean time of 7.5 months.Conclusions: The present study found low incidence of postoperative complications and satisfactory bony healing rate could be achieved in the treatment of long bone non-unions augmented with the combination of DBM and PRP. Although these findings might indicate the promising future of this treatment protocol, larger and higher quality studies should also be executed to assess its routine use.
A Novel Extreme Lateral Approach for Needle Puncture Model of Lumbar Disc Degeneration in SD Rats.
Authors: Cheng Ziying , Li Yuxi , Zeng Weike , Liang Yuwei , Huang Junshen , Huang Jiajun , Lu Shixin , Li Ming , Huang Lin 
Published: May 2021

Abstract
Background: Various animal models have been proposed to investigate several aspects of intervertebral disc degeneration (IDD). As for needle puncture model, literatures have mentioned the needle puncture in percutaneous posterolateral approach, anterior ventral approach. Our research is mean to describe a novel, extreme lateral invasive approach without posterior paraspinal muscle for needle puncture rat model.Methods: 16 adult female SD rats aging 12 weeks old was used to perform this research, which was randomly divided into two groups. We used the extreme lateral approach from the skin to lumbar intervertebral disc and advancing the 18G needle into the intervertebral disc in the experimental group and without needle puncture in the control group. Disc degeneration was confirmed by magnetic resonance imaging (MRI)and histologic evaluation.Results: All rats survived the duration of the experiment. 60 days after operation, the puncture discs of experimental group showed a significant decrease of signal intensity in the T2-weighed magnetic resonance imaging comparing with the control discs of control group. Histological analysis demonstrated the boundary between the nucleus pulposus (NP) and annulus fibrosus (AF) was not distinct, even the connective tissue nearly replaced the position of NP and proteoglycan content decreased within the punctured discs compared to the control discs. Histological score showed statistical significant difference between injury discs and control discs.Conclusions: Our study demonstrated a novel, reliable and safe approach for the needle puncture model of lumbar disc degeneration in SD rats, which provides a potential experimental model for the research on IDD without posterior paraspinal muscle injury.
Manual Handling of Heavy Loads and Low Back Pain: Results of the 2018 BIBB/BAuA Employment Survey
Authors: Sauter Martha , Barthelme Jula , Mueller Charlotte , Liebers Falk 
Published: May 2021

Abstract
Background: In Germany and other European countries, many occupations still involve manual handling of loads (MHL), an activity that puts the musculoskeletal system at risk of low back pain (LBP). This study aims to describe the frequency of MHL as well as the association between MHL and LBP. Methods: Data was collected in telephone interviews conducted as part of the 2018 BIBB/BAuA Employment Survey.The analyses have been limited to full-time workers (>35 h/week) aged between 15 and 67. The frequency of MHL has been analysed descriptively. The analysis of the association between MHL and the prevalence of LBP over the last 12 months is based on robust log-linear Poisson regression that results in prevalence ratios (PR). The main regression model has been adjusted for gender, age, working hours, and working conditions. Adjusted estimates for the prevalence of LBP were calculated based on regression analysis. Results: The sample consists of n = 14,249 subjects (61.5% men, 38.5% women, median age 49 years). Of these, 52.9 % say they are exposed to MHL at work. In the regression model, subjects who said they were “often” exposed to MHL reported more frequently LBP than those subjects who said they were “never” exposed to MHL (PR = 1.41 CI [1.32; 1.50]). Postestimation of the prevalence of LBP began with 47.1 % for subjects who said they were “never” exposed to MHL and rose to 66.4 % for subjects who indicated they were “often” exposed to MHL. Conclusions: The 2018 BIBB/BAuA Employment Survey emphasizes that MHL is still common in the German workforce and shows a significant association to LBP. Prevention policies for avoiding MHL remain vital. Key words: Manual handling of loads, low back pain, working conditions, BIBB/BAuA Employment Survey
Gradual Return to Work in Germany: Protocol of a Qualitative Study to Examine Current Practices
Authors: Schulz Inga Lisa , Stegmann Ralf , Wegewitz Uta , Bethge Matthias 
Published: May 2021

Abstract
Background: Regarding demographic change, the rise in the working age and increase in long-term illnesses is a task for society to maintain the health of employees and return employees with long-term illnesses to work. In many countries like Germany, gradual return to work (GRTW) is used more and more frequently to achieve the full work capacity of employees, but little is known about its facilitators and obstacles.Methods: This qualitative study will examine the current implementation of GRTW by means of 32 narrative interviews and 10 group discussions from different perspectives. Therefore, we will ask returning employees, their accompanying trusted person during GRTW in the company and organisations, and supra-organisational experts throughout Germany about their experiences with GRTW and attitudes toward the measure. The verbal data obtained will be analysed using the Documentary Method of Interpretation, focusing on the implicit and action-guiding knowledge of the study participants. Discussion: This study will reveal facilitating and hindering factors of the recommendation, planning, utilisation, and implementation of GRTW in Germany. Future findings of the study can contribute to an improved use of GRTW, thus promoting a sustainable return to work. Based on this, recommendations for action can be developed for different actors.Trial registration: German Clinical Trials Register (ID: DRKS00022892, October 1st, 2020).
Absolute Eosinophil Count May be One of the Most Optimal Peripheral Blood Markers to Identify Risk of Immune-Related Adverse Events in Advanced Malignant Tumors Treated with PD-1/PD-L1 Inhibitors.
Authors: Ma Yan , Ma Xiao , Wang Jingting , Wu Shanshan , Wang Jing , Cao Bangwei 
Published: May 2021

Abstract
Background To investigate the predictive value of serum biomarkers such as AEC、Neutrophil- lymphocyte ratio (NLR) and platelets - lymphocyte ratio(PLR) on immune-related adverse events (irAEs) during the PD-1/PD-L1 inhibitors treatment in advanced malignant tumors. Methods We retrospectively analyzed 95 advanced cancer patients treated with PD-1/PD-L1 inhibitor from January 1, 2017 to May 1, 2020 in our cancer center. Then, the associations between irAEs and PD-1/PD-L1 inhibitors respond was analyzed and the predictive value of serum biomarkers on irAEs occurrence risk was evaluated. Results The incidence of irAEs was 55.8%. There were no statistically significant differences between the irAEs group and the no-irAEs group in Objective response rate (ORR) and Disease control rate (DCR), but the Landmark analysis showed that the irAEs group had better survival after 120 days compared with the no-irAEs group. The incidence of irAEs in the high-AEC and low-NLR groups was greater than that in the low-AEC and high-NLR groups. Univariate logistic analysis results showed that low-NLR, ECOG (0-1) and High-AEC were risk factors for irAEs. However, multivariate logistic analysis not only shows that AEC is an independent factor of irAEs, but also suggests that good ECOG may be more prone to irAEs . Conclusions IrAEs may show a survival benefit to a certain extent. Baseline AEC is a strong predictor of irAEs in the treatment of PD-1/PD-L1 inhibitors.
Weight Change of Younger and Older Early Breast Cancer Patients – A Meta Regression
Authors: Chow Ronald , Chiu Leonard , Ro Vicky , Lock Michael 
Published: May 2021

Abstract
Introduction: Weight gain has a major impact on the quality of life of breast cancer patients. Post treatment weight gain can impact on primary endpoints such as recurrence, death, self identity and the ability to return to work. Parameters thought to impact on weight gain include menopausal status, age and chemotherapy regimen. Using meta-regression, we studied the effect of age on weight change, by menopausal status and chemotherapy regimen.Methods: 24 studies were identified, and extracted for weight change, mean/median age, menopausal status and chemotherapy regimen. A meta-regression was performed, using a random-effects DerSimonian and Laird model for high heterogeneity and fixed-effects inverse-variance model for low heterogeneity. Subgroup analyses were conducted, by menopausal status and chemotherapy regimen. P-values less than 0.05 were considered statistically significant.Results: There exists no relationship between weight change and age (β = 0.00; p = 0.987). Stratifying by menopausal status and chemotherapy regimens, there likewise was no relationship. Conclusion: Management of weight gain due to chemotherapy has been focused on relatively young women where a higher mortality and recurrence has been found. However, our results suggest that age should not be used to differentiate care in these patients.
Integrative Analysis of lncRNA-mRNA Signature Reveals a Functional lincRNA in Triple-negative Breast Cancer
Authors: Jia Yan , Jia Yongsheng , Shi Yehui , Zhao Weipeng , Wang Xiaorui , Tong Zhongsheng , Song Yueshuai 
Published: May 2021

Abstract
Purpose: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. It is still unclear that the mechanisms by which long non-coding RNA (lncRNA) regulates tumorigenesis of TNBC. In this study, we explored the function and regulation of lncRNA in TNBC. Methods: The differentially expressed and overlapped lncRNAs were obtained from two microarray datasets of breast cancer. The Cancer Genome Atlas data was applied to validate the roles of top differentially expressed lncRNAs. The potential relationship among lncRNAs, miRNAs, and mRNAs and the effects of them on the TNBC tumorigenesis were further explored through multiple bioinformatic methods. Results: Long intergenic non-protein coding RNA 1351 (LINC01351) was first discovered to play an oncogenic role in TNBC. The highly expressed LINC01351 was significantly related to poor prognosis, aggressive subtypes, advanced stages and metastasis of breast cancer. LINC01351 was found to negatively regulate ELK4 which was involved in the transcriptional regulation in cancer. The high expression of ELK4 showed favorable prognosis of patients with basal-like 1 subtype and luminal androgen receptor subtype of TNBC.Conclusion: The dysregulation of LINC01351 played an important role in triple-negative breast cancer. LINC01351 could be a poor prognostic marker and a potential target for patients with TNBC.