bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Characteristics of Sepsis After Chemotherapy for Lung Cancer
Authors: Teng Geling , Ying CHEN , Wenwen Zhao , Xiangmei LI , Hua HU 
Published: March 2021

Abstract
BackgroundNowadays, hospital infection have a high incidence of of sepsis in clinic for malignant tumor patients after chemotherapy, patients generally lack typical clinical manifestations in early stage, especially those patients with more complicated basic diseases, and their prognosis is poor.Case presentation In this report, we analyzed a lung cancer patients infected with enterobacter cloacae after chemotherapy, the clinical case data were collected, the course of its onset, diagnosis and treatment were analyzed, and the relevant literatures at home and abroad were reviewed for summary.The patient was elderly with underlying diseases, and was diagnosed with lung adenocarcinoma. He had a long history of glucocorticoid because of Interstitial pneumonia, and was given chemotherapy. The patient was complicated with sepsis after chemotherapy. Despite active treatment, the patient died of septic shock. There are many reasons for septic shock in patients.ConclusionsThe mortality of patients with malignant tumor complicated with nosocomial infection is high, which is closely related to the underlying disease and the application of glucocorticoid.
Application of Intra-Osseous Access in the Critical Care of Patients With Severe Multiple Trauma
Authors: Shen Jun , Chen Du , Yang Peng , Xu Feng 
Published: March 2021

Abstract
ObjectiveThis study aimed to evaluate the efficacy of intra-osseous (IO) access in the treatment of patients with severe multiple trauma. MethodsThis was a retrospective study in trauma center of the First Affiliated Hospital of Soochow University. The clinical data of 94 patients were reviewed in emergency room (ER) from April 2018 to September 2020. We summarized advantages of IO access for the following aspects: puncture efficiency, the duration of puncturing and success rate. Besides, we analyzed the relationship with central venous catheter (CVC), tracheal intubation and cardio-pulmonary resuscitation (CPR). ResultsThe IO observation group presented a relatively good results in puncture efficiency (efficiency came into use within 15 minutes after being hospitalized: 36.17%), the duration of puncturing (less than or equal to 1 min: 93.62%), success rate (96.81%). ConclusionThe application of IO in the treatment of patients can shorten the time and improve the success rate in rescuing critically ill patients. It serves as a parallel rescue method and is worthy of clinical promotion and skill acquisition.
Quantitative analysis of self-potential anomalies: Review of case studies from various SP applications
Authors: Eppelbaum Lev V. 
Published: March 2021

Abstract
Self-potential (SP) method is one of the most non-expensive and unsophisticated geophysical methods. However, its application limits absence of reliable interpreting methodology, first for the complex geological-environmental conditions. The typical disturbances appearing in the SP method are discussed. To exclude these noise components before the quantitative analysis, some ways for their removing (elimination) are presented. Some brief review of the available interpretation methods is presented. For the magnetic method of geophysical prospecting, special quantitative procedures applicable under complex physical-geological environments (oblique polarization, uneven terrain relief and unknown level of the normal field), have been recently developed. Earlier detected common peculiarities between the magnetic and SP fields have been extended. These common aspects make it possible to apply the advanced procedures developed in magnetic prospecting to SP method. Besides the reliable determination of the depth of anomalous targets, these methodologies enable to calculate the corrections for non-horizontal SP observations and direction of polarization vector. For classification of SP-anomalies is proposed to use a new parameter – 'self-potential moment'. These quantitative procedures (improved modifications of characteristic point, tangent techniques and areal method) have been successfully tested on SP models and employed in real situations in mining, archaeological, environmental and technogenic geophysics. The obtained results indicate practical importance of the developed methodologies.
Quantification of damage and initial growth of eucalyptus in integrated crop-livestock-forest systems in the Brazilian Cerrado
Authors: Barbosa Demerson Luiz de Almeida , Leite Ângelo Márcio Pinto , Oliveira Márcio Leles Romarco de , Freitas Daniela Aparecida , Brito Betânia Guedes Souza e , Lana Ângela Maria Quintão , Santos Leonardo David Tuffi , Veloso Álvaro Luis de Carvalho , Frazão Leidivan Almeida 
Published: March 2021

Abstract
Background

The integrated crop-livestock-forest (ICLF) system is a sustainable production model composed by tree species intercropped with annual crops and forage species. The choice of the tree species that will compose the ICLF is characterized as a fundamental requirement in the adoption of the system. Therefore, this study aimed to analyze the initial growth and adaptation of two eucalyptus genotypes cultivated in ICLF systems in the Brazilian Cerrado.
Methods

The eucalyptus genotypes (E. cloeziana and E. urograndis) were intercropped with Sorghum bicolor and Urochloa brizantha in two ICLF systems in Minas Gerais State, Brazil. Qualitative data expressed by occurrences of damage and weaknesses, as well as quantitative data measured by survival rates, diameter at soil height, diameter at breast height, and total height of trees were evaluated in four periods. The data were analyzed by a correlation matrix and analysis of variance, and them qualitative and quantitative data to were analyzed in relation to the rainfall distribution during the studied period.
Results

The occurrence of Trigona spinipes and termite were the main biotic factors that caused damage and weaknesses to E. cloeziana and E. urograndis, respectively, directly impacting the initial growth and survival rate of eucalyptus.. The growth of E. urograndis was higher than E. cloeziana at 450, 630, 1020, and 1320 days after transplanting. On the other hand, E. cloeziana showed the highest survival rate (80.6%) while E. urograndis presented greater tolerance to the water stress.
Conclusion

The hibrid E. urograndis proved to be more adapted to edaphoclimatic conditions studied in the Cerrado region and can be indicated to ICLF systems implanted in regions characterized by high temperatures and irregular rainfall distribution.
The diversity, composition, and metabolic pathways of archaea in pigs
Authors: Deng Feilong , Li Yushan , Wei Xiaoyuan , Xiao Yingping , Wang Xiaofan , Howe Samantha , Yang Hua , Li Hua , Zhao Jiangchao , Li Ying 
Published: March 2021

Abstract

Background
Archaea are an essential class of gut microorganisms in humans and animals. Despite the substantial progress in gut microbiome research in the last decade, most studies have focused on bacteria, and little is known about archaea in mammals. To this end, we investigated the composition, diversity, and functional potential of gut archaeal communities in pigs by re-analyzing a published metagenomic dataset from the NCBI Sequence Read Archive (SRA) database.
Results
A total of 276 fecal samples from three countries: China (n = 76), Denmark (n = 100), and France (n = 100) were used in this study. For alpha diversity (Shannon Index) of the archaeal communities, Chinese pigs were less diverse than Danish and French pigs (P < 0.001). Consistently, Chinese pigs also possessed different archaeal community structures from the other two groups based on the Bray-Curtis distance matrix. Methanobrevibacter was the most dominant archaeal genus in Chinese pigs (44.94%) and French pigs (15.41%), while Candidatus Methanomethylophilus was the most predominant in Danish pigs (15.71%). At the species level, the relative abundance of Candidatus Methanomethylophilus alvus, Natrialbaceae archaeon XQ INN 246, and Methanobrevibacter gottschalkii were greatest in Danish, French, and Chinese pigs with a relative abundance of 14.32%, 11.67%, and 16.28%, respectively. In terms of metabolic potential, the top three pathways in the archaeal communities included the MetaCyc pathway related to the biosynthesis of L-valine, L-isoleucine, and isobutanol. Interestingly, the pathway related to hydrogen consumption (METHANOGENESIS-PWY) was only observed in archaeal reads, while the pathways participating in hydrogen production (FERMENTATION-PWY and PWY4LZ-257) were only detected in bacterial reads. Archaeal communities also possessed CAZyme gene families, with the top five being: AA3, GH43, GT2, AA6, and CE9. In terms of antibiotic resistance genes (ARGs), the class of multidrug resistance was the most abundant ARG, accounting for 87.41% of archaeal ARG hits.
Conclusions
Our study reveals the diverse composition and metabolic functions of archaea in pigs, suggesting that archaea might play important roles in swine nutrition and metabolism.
Evaluation to Prognostic Staging System of Multiple Myeloma in Novel Agent Era
Authors: Shang Yufeng , Jin Yanxia , liu Hailing , Ding Lu , Tong Xiqin , Tu Honglei , Zang Longkai , Lin Chenyao , Hu Jinsong , Zhou Fuling 
Published: March 2021

Abstract
Purpose This study was to evaluate existing staging system of multiple myeloma (MM) in the real world. Methods We retrospectively analyzed 886 newly diagnosed MM from two institutions. Results The overall survival (OS) of eligible patients was 61.0 months. R-ISS held a larger receiver operating characteristic curve (ROC) area (0.603) than that of ISS (0.573) and DS staging system (0.567). In the group of immunomodulatory agents-based regimens, the median OS was 92.0 months in R-ISS I, 63.0 months in R-ISS II and 18.0 months in R-ISS III (p<0.0001). In the group of proteasome inhibitors-based regimens, the median OS was 102.0 months in R-ISS I, 63.0 months in R-ISS II and 22.0 months in R-ISS III (p<0.0001). In different subgroups grouped according to Age, HGB, CREA and Ca, R-ISS also had a good stratification effect. Patients in R-ISS II were further analyzed, which accounted for 69.9% of all R-ISS patients. Using univariable and multivariable Cox analysis, Age>65 years (p=0.001), HGB<100g/L (p<0.001), elevated LDH (p=0.001) and Ca (p=0.010) were independent factors indicating worse prognosis for R-ISS II. Conclusion R-ISS remains a valuable staging system in the real world of new drug era. But patients classified in R-ISS II still have large heterogeneity.
A prognostic risk model constructed by proteins in predicting prognosis for ovarian cancer
Authors: rong yan , Niu Liangchen , Li Li 
Published: March 2021

Abstract
BackgroundsOvarian cancer is the most lethal malignant tumor in gynecological cancers worldwide. Approximately 70% of patients have a poor prognosis, who experienced progression or recurrence within 5 years. The aim of this study attempts is to screen out the potential prognosis-related proteins and establish a prognostic risk model for predicting the prognostic risk for patients with ovarian cancer.MethodData were obtained from the Cancer Proteome Atlas (TCPA) and the Cancer Genome Atlas (TCGA). The proteins significantly related to survival risk in ovarian cancer patients were screened out by Kaplan-Meier test and COX regression analysis. A prognostic risk model was constructed based on the optimal proteins selected by multivariate Cox analysis. The prognostic risk model was validated in different clinical characteristics. The sankyl diagram was used to visualize the relationship between the prognosis-related proteins and their co-expression proteins.ResultsA prognostic risk model consisting of seven proteins that significantly related to prognosis was established. Patients with high risk score were associated with poor survival and relative protein expression. In the multivariate cox regress analysis, only age and the risk score were the independence prognosis factors. The AUC for the risk score was 0.721 in ROC curve for patients under 70 years old. Pearson’s correlation analysis showed that 25 co-expression proteins correlated with the prognosis-related proteins.ConclusionOur study demonstrated that a novel prognostic risk model constructed by proteins could predict prognosis for patients with ovarian cancer.
Genetic study of apatient with congenital central hypoventilation syndrome in Iran: a case report
Authors: Khorasanian Reihaneh , Mojbafan Marzieh , Khosravi Nastaran 
Published: March 2021

Abstract
I. Background: Congenital central hypoventilation syndrome (CCHS) is an extremely rare genetic disorder characterized by autonomic nervous system (ANS) dysregulation caused by mutations in the PHOX2B gene. Here we introduce the first genetic analysis of a CCHS patient in Iran.II. Methods and Results: Genetic analysis of the PHOX2B gene was performed by Sanger sequencing and interpreted using the American College of Medical Genetics and Genomics (ACMG) guideline. The results showed a heterozygous duplication in the exon 3 causing a polyalanine repeat expansion mutation (PARMs) to 27 repeats in the PHOX2B gene (20/27 genotype). The patient’s parents were normal for this mutation.III. Conclusions: According to the ACMG guideline, the mutation is a pathogenic one, and it was a denovo mutation in the family. The genetic study can help the family for prenatal diagnosis or pre-implantation diagnosis if the parents have gonadal mosaicism.
Rapid Differential Detection of H1 and H3 Subtype Swine Influenza Viruses by a TaqMan-MGB Based Duplex One-Step Real Time RT-PCR Assay
Authors: Chen Kaibiao , Kong Ming , Liu Jiao , Jiao Jun , Zeng Zixiong , Shi Liwei , Bu Xinxin , Yan Yayao , Chen Yu , Gao Ruyi , Liu Xiaowen , Wang Xiaoquan , Hu Jiao , Hu Shunlin , Jiao Xinan , Liu Xiufan , Gu Min 
Published: March 2021

Abstract
Swine influenza is not only an economically important respiratory disease in swine, but also constantly poses a threat to human health. Hence, developing a rapid, sensitive and efficient detection method of swine influenza virus (SIV) is highly essential. By aligning the HA gene sequences of SIV circulating in China in recent 10 years, a H1 primer-probe set targeting both Eurasian avian-like H1N1 (EA H1N1) and Pandemic 2009 H1N1 (Pdm09 H1N1) lineages plus a H3 prime-probe set targeting the prevalent human-like H3N2 (HL H3N2) subtype were designed, respectively. Further, a TaqMan-MGB based duplex one-step real time RT-PCR (RRT-PCR) assay was established and evaluated. The duplex RRT-PCR possessed the detection limit of 5 copies/μL HA plasmid for each of the EA H1N1, Pdm09 H1N1 and HL H3N2 subtype SIVs, and matched an overall detection sensitivity of 100% and specificity of 91.67% with traditional virus isolation through chicken embryo inoculation using experimentally infected mice lung samples. Besides, the method showed high repeatability both within-run and between-runs, and no cross-reactivity against some commonly circulated porcine viruses in China. Furthermore, the duplex RRT-PCR method revealed a relatively higher prevalent rate of H1 than H3 subtype SIV in 166 nasal swabs from pigs in some slaughterhouse during October ~ December, 2019. This developed assay could be very helpful for rapid differential detection and routine surveillance of EA H1N1, Pdm09 H1N1 and HL H3N2 subtype SIVs in China.
Global Attitude Stabilization of a Rigid Body on SO(3) via Observer-based Hybrid Feedback Under Constraints
Authors: Hashemi Seyed Hamed , Pariz Naser , Sani Seyed Kamal Hosseini 
Published: March 2021

Abstract
This paper studies the global stabilization of a rigid body attitude, a task that is subject to topological obstacles. Theseobstructions preclude the existence of a globally stable equilibrium point. Consequently, the rigid body attitude cannotbe globally stabilized by continuous feedback control laws. In order to resolve this challenge, this paper presents anobserver-based hybrid feedback control law. Thereafter, in order to derive the proposed feedback law, a new kind ofsynergistic potential functions is presented which induces a gradient vector eld to globally stabilize a given set. Moreover, the gradient of the proposed synergistic potential functions is utilized to derive a hybrid angular velocityobserver. The outputs of the proposed observer are employed to produce the necessary damping from the noisy measurements of the attitude. Furthermore, this paper considers two types of constraints: angular velocity constraints, and input torque constraints. Afterward, these constraints are formulated in terms of the Linear Matrix Inequalities (LMI) optimization problem to perform constraints satisfaction at all times. Moreover, this paper introduces a novel hybrid quantizer to deal with the problem of the low-price wireless network. This paper analyzes the global asymptotic stability of the reference set via the Lyapunov's method. Finally, a comparative study in simulations is provided to assess the performance of the proposed control technique.
A Firm Recommendation: Measuring the Softness of Infant Sleep Surfaces
Authors: Gillani Sheena , Lowell Gina S. , Quinlan Kyran P. 
Published: March 2021

Abstract
BACKGROUND: Approximately 3600 sudden unexpected infant deaths (SUID) occur annually in the United States, and a quarter of SUIDs are caused by unintentional suffocation and strangulation in bed, with soft bedding use being a significant risk factor. Therefore, The American Academy of Pediatrics (AAP) recommends infants sleep on a “firm” surface, though neither an objective definition nor national standard has been established. The purpose of this study is to report on the performance of a device that measures mattress softness and to provide quantitative values of softness for various infant sleep surfaces.METHODS: In collaboration with the authors and a national child product safety organization (Kids in Danger), University of Michigan engineering students designed and validated a device that measures the vertical depression (softness) of a simulated 2-month-old’s head on a sleep surface. A total of 17 infant sleep surfaces -14 household surfaces and 3 hospital mattresses - were measured between April 2019 and January 2020. The average softness of each surface was calculated. Surfaces were also measured with soft bedding, which included an infant fleece blanket, and firm and soft pillows.RESULTS: The average softness for the 14 household sleep surfaces ranged from 7.4-36.9 mm. The 2019 cribette playard and the 2018 infant spring had similar softness (21mm) as the 2018 and 2019 adult foam and 2015 sofa. An infant’s fleece blanket folded once added an additional 2.3-6.5mm of softness, folded twice added 4.8-11.6mm, and folded three times added 11-21.8mm. Using a firm pillow added 4.0-20.9mm of softness while using a soft pillow added 24.5-46.4mm. The softness for the 3 hospital sleep surfaces ranged from 14-36.9mm, with the infant bassinet being the firmest and the pediatrics mattress being the softest.CONCLUSIONS: We found a wide range of softness among sleep surfaces, with some infant mattresses as soft as some adult mattresses. Adding blankets and pillows to mattresses measurably increased softness. Quantifying sleep surface softness will advance our understanding of how softness relates to SUID risk. We hope this new information will further inform safe infant sleep recommendations and improve mattress safety standards nationally.
Guiding placement of health facilities using malaria criteria and interactive tool
Authors: Toh Kok Ben , Millar Justin , Psychas Paul , Abuaku Benjamin , Ahorlu Collins , Oppong Samuel , Koram Kwadwo , Valle Denis 
Published: March 2021

Abstract
Background: Access to healthcare is important in controlling malaria burden and, as a result, distance or travel time to health facilities is often a significant predictor in modeling malaria prevalence. Adding new health facilities may reduce overall travel time to health facilities and may decrease malaria transmission. To help guide local decision makers as they scale up community-based accessibility, we explore how the allocation of new health facilities might influence malaria prevalence in Bunkpurugu-Yunyoo district in northern Ghana. We perform a location-allocation analysis to find optimal locations of new health facilities by minimizing three district-wide objectives separately: malaria prevalence, malaria incidence, and average travel time to health facilities. Methods: We used generalized additive model to model malaria prevalence as a function of travel time to health facility and other geospatial covariates. The model predictions are used to calculate the optimization criteria and to conduct spatial optimization. This analysis was performed for two scenarios: adding new health facilities to the existing ones, and a hypothetical scenario in which the community-based healthcare facilities would be allocated anew. We created an interactive web application to facilitate efficient presentation of this analysis and allow users to experiment with their choice of health facility location and optimization criteria. Results: Using malaria prevalence and travel time as optimization criteria, we found two locations that were not covered by existing community-based health services that would benefit from new health facilities, regardless of scenarios. Due to the non-linear relationship between malaria incidence and prevalence, the optimal locations chosen by using incidence criterion tend to be inequitable and are different from those based on the other optimization criteria. Conclusion: Our findings underscore the importance of using multiple optimization criteria in the decision-making process. We believe that our analysis and interactive application can be repurposed for other regions and criteria, bridging the gap between science, models and decisions.