bluuebunny/crossref_metadata_2025_split huggingface dataset:
Índices de calidad, estructura comunitaria y diversidad funcional
Authors: Pumasupa Banda Josué Daniel , Flores Ramos Yarina Isabel , Huisa Maquera Syntia Noemi , Condori Pacoricona Dayana Araceli , Centeno María , Valdez Blaz Tonantzin Melissa , Yaja Callacondo Alex Ronald 
Published: July 2021

El objetivo de este trabajo consistió en comparar diferentes aproximaciones que permitan una mejor caracterización de la calidad ambiental, utilizando macroinvertebrados bentónicos como indicadores en ríos de la serranía suroccidental. El estudio se desarrolló con datos de los monitoreos de hidrobiología del Proyecto Quellaveco entre los años 2013-2015, con los que se obtuvieron índices de calidad (ABI, EPT, IMEERA y SVAP), índices de estructura comunitaria (Shannon, Simpson, N1 de la serie de Hill y Pielou) e índices de diversidad funcional (riqueza, diversidad, disimilaridad y equidad funcional, y Q de Rao). Los resultados de los análisis multivariados mostraron que los índices de diversidad funcional, el índice de Simpson e IMEERA tienen representatividad significativa en las unidades de estudio. Se concluye que los índices de diversidad funcional pueden ser índices alternativos a los tradicionales y de calidad ambiental, además la caracterización del ecosistema basado en la cantidad de especies y su abundancia en una comunidad, o los rasgos funcionales que abarcan, son insuficientes para explicar completamente la calidad de un ecosistema.
ASSET UTILIZATION OPTIMIZATION, LOCAL GOVERNMENT SUPPORT, ASSET MANAGEMENT PROFESSIONALISM TOWARDS INCREASING VILLAGE ORIGINAL INCOME
Authors: Hendrawati Erna 
Published: July 2021

This study aims to examine and analyze the effect of optimizing asset utilization, local government support, asset management professionalism on increasing Village Original Income (PA Desa). The research population is village officials in Menganti District, Gresik Regency, East Java. The questionnaire that can be obtained is 160 respondents. The data analysis techniques are validity test, reliability test, classical assumption test and multiple regression test. The results of the optimization of asset utilization and asset management professionalism affect village original income, while government support does not affect village original income. This can happen because village officials are aware that by optimizing asset utilization and managing assets professionally, they can increase the village's original income even though there is and no support from the government.
PERBEDAAN INSIDENSI DIABETES MELITUS TIPE 2 DAN HBA1C PADA POPULASI TERPAPAR-TIDAK TERPAPAR EMISI PABRIK SEMEN PADANG
Authors: Adelin Prima , Yaswir Rismawati , Rofinda Zelly Dia , Machmud Rizanda , Yetti Husna 
Published: July 2021

Background: Cement factory emission disrupt blood glucose control through insulin resistance mechanism, thus increasing incidence of type 2 diabetes mellitus (DM type 2). Aim: Aim of this study is to determine incidence’s differences of DM type 2 and mean HbA1c patients with DM type 2 within population exposed and unexposed cement Padang factory emission. Method: This was a cross sectional analytic study with cluster sampling that conducted on June-December 2015 with 129 and 125 participant from exposed and unexposed areas. Age of participants are 20-79 years old. Incidence is total new cases per total sample in exposed or unexposed area. HbA1c were measured with immunoturbidimetry method. Data were analyzed by chi-squared test to asses differences of two proportions and t test to asses differences of two averages. Results: The incidence DM type 2 are 3,9% and 7,2% respectively in exposed and unexposed areas, without significant difference (p>0,05). The mean HbA1c patients DM type 2 are 10,0(2,4)% and 8,8(1,6)% in exposed and unexposed areas, without significant difference (p>0,05). Conclusions: There were no significant differences incidence of DM type 2 and mean HbA1c patients DM type 2 in the populations exposed and unexposed cement Padang factory emission. Cohort studies is required to see the effects of cement factory emission
White Blood Cell Counts to High-Density Lipoprotein Cholesterol Ratio, as a Novel Predictor of Long-Term Adverse Outcomes in Patients After Percutaneous Coronary Intervention: A Retrospective Cohort Study
Authors: Wu Ting-Ting , Zheng Ying-Ying , Xiu Wen-Juan , Wang Wan-Rong , Xun Yi-Li , Ma Yan-Yan , Kadir Patigvl , Pan Ying , Ma Yi-Tong , Xie Xiang 
Published: July 2021

Background: White blood cell (WBC) counts and high-density lipoprotein cholesterol (HDL-C) are widely available in clinical practice. However, the predictive value for cardiovascular disease (CVD) is uncertain. In the present study, we firstly assessed the prognostic value of WBC to HDL-C ratio (WHR) in patients with coronary artery disease (CAD) who underwent percutaneous coronary intervention (PCI).Methods: Six thousand and fifty patients with CAD after PCI from a retrospective cohort study (identifier: ChiCTR-INR-16010153) were evaluated initially. Three hundred and seventy-one patients were excluded due to HDL cholesterol data not available, malignancy, dementia, psoriasis or eczema, systemic connective tissue disorders, multiple sclerosis, chronic liver disease, and chronic obstructive pulmonary disorder. Finally, 5,679 patients were included in the study. The primary outcome was long-term mortality. Secondary endpoints were mainly major adverse cardiovascular and cerebrovascular events (MACCEs), defined as a combination of stroke, cardiac death, stent thrombosis, recurrent myocardial infarction, and target vessel revascularization. The mean follow-up time of this study was 35.9 ± 22.5 months. We defined the best cutoff value of MHR according to the receiver operating curve (ROC), and then patients were divided into high and low WHR groups according to the cutoff value. We analyzed the data in both an acute coronary syndrome group (ACS) and a stable CAD subgroup, respectively.Results: Overall, there were 293 cases of long-term mortality during the follow-up period. According to the cutoff value (WHR = 8.25), 1,901 ACS patients were divided into high WHR group (n = 724) and low WHR group (n = 1,177). Compared to low WHR group, the incidence of all-cause mortality (ACM, 5.5 vs. 3.6%, p = 0.048) and cardiac death (4.7vs. 2.9%, p = 0.042) were significantly higher in the high WHR group. In stable CAD group, we also found the incidence of ACM and cardiac death were significantly higher in the high group compared to that in the low group. We did not find significant difference between the high and the low WHR group in the incidence of MACCEs. The multivariate Cox proportional hazards model showed that increased WHR level was independently correlated with the mortality. In the high WHR group, the risk of ACM increased two times in ACS [adjusted HR = 2.036 (1.258–3.296), p = 0.004] and 1.5 times in stable CAD [adjusted HR = 1.586 (1.178–2.136), p = 0.002].Conclusion: The present study indicated that an increased WBC count to HDL-C ratio was independently associated with long-term mortality in CAD patients who underwent PCI.
Clinical Outcomes in Patients With Left Bundle Branch Area Pacing vs. Right Ventricular Pacing for Atrioventricular Block
Authors: Li Xiaofei , Zhang Junmeng , Qiu Chunguang , Wang Zhao , Li Hui , Pang Kunjing , Yao Yan , Liu Zhimin , Xie Ruiqin , Chen Yangxin , Wu Yongquan , Fan Xiaohan 
Published: July 2021

Background: Left bundle branch area pacing (LBBAP) is a novel pacing modality with stable pacing parameters and a narrow-paced QRS duration. We compared heart failure (HF) hospitalization events and echocardiographic measures between LBBAP and right ventricular pacing (RVP) in patients with atrioventricular block (AVB).Methods and Results: This multicenter observational study prospectively recruited consecutive AVB patients requiring ventricular pacing in five centers if they received LBBAP or RVP and had left ventricular ejection fraction (LVEF) &gt;50%. Data on electrocardiogram, pacing parameters, echocardiographic measurements, device complications, and clinical outcomes were collected at baseline and during follow-up. The primary outcome was first episode hospitalization for HF or upgrade to biventricular pacing. LBBAP was successful in 235 of 246 patients (95.5%), while 120 patients received RVP. During a mean of 11.4 ± 2.7 months of follow-up, the ventricular pacing burden was comparable (83.9 ± 35.1 vs. 85.7 ± 30.0%), while the mean LVEF differed significantly (62.6 ± 4.6 vs. 57.8 ± 11.4%) between the LBBAP and RVP groups. Patients with LBBAP had significantly lower occurrences of HF hospitalization and upgrading to biventricular pacing than patients with RVP (2.6 vs. 10.8%, P &lt;0.001), and differences in primary outcome between LBBAP and RVP were mainly observed in patients with ventricular pacing &gt;40% or with baseline LVEF &lt;60%. The primary outcome was independently associated with LBBAP (adjusted HR 0.14, 95% CI: 0.04–0.55), previous myocardial infarction (adjusted HR 6.82, 95% CI: 1.23–37.5), and baseline LVEF (adjusted HR 0.91, 95% CI: 0.86–0.96).Conclusion: Permanent LBBAP might reduce the risk of HF hospitalization or upgrade to biventricular pacing compared with RVP in AVB patients requiring a high burden of ventricular pacing.Clinical Trial Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03851315; URL: http://www.chictr.org.cn; Unique Identifier: ChiCTR2100043296.
Earthquake Early Warning System for Structural Drift Prediction Using Machine Learning and Linear Regressors
Authors: Iaccarino Antonio Giovanni , Gueguen Philippe , Picozzi Matteo , Ghimire Subash 
Published: July 2021

In this work, we explored the feasibility of predicting the structural drift from the first seconds of P-wave signals for On-site Earthquake Early Warning (EEW) applications. To this purpose, we investigated the performance of both linear least square regression (LSR) and four non-linear machine learning (ML) models: Random Forest, Gradient Boosting, Support Vector Machines and K-Nearest Neighbors. Furthermore, we also explore the applicability of the models calibrated for a region to another one. The LSR and ML models are calibrated and validated using a dataset of ∼6,000 waveforms recorded within 34 Japanese structures with three different type of construction (steel, reinforced concrete, and steel-reinforced concrete), and a smaller one of data recorded at US buildings (69 buildings, 240 waveforms). As EEW information, we considered three P-wave parameters (the peak displacement, Pd, the integral of squared velocity, IV2, and displacement, ID2) using three time-windows (i.e., 1, 2, and 3 s), for a total of nine features to predict the drift ratio as structural response. The Japanese dataset is used to calibrate the LSR and ML models and to study their capability to predict the structural drift. We explored different subsets of the Japanese dataset (i.e., one building, one single type of construction, the entire dataset. We found that the variability of both ground motion and buildings response can affect the drift predictions robustness. In particular, the predictions accuracy worsens with the complexity of the dataset in terms of building and event variability. Our results show that ML techniques perform always better than LSR models, likely due to the complex connections between features and the natural non-linearity of the data. Furthermore, we show that by implementing a residuals analysis, the main sources of drift variability can be identified. Finally, the models trained on the Japanese dataset are applied the US dataset. In our application, we found that the exporting EEW models worsen the prediction variability, but also that by including correction terms as function of the magnitude can strongly mitigate such problem. In other words, our results show that the drift for US buildings can be predicted by minor tweaks to models.
Mitochondrial DNA 4977 bp Deletion in Peripheral Blood Is Associated With Polycystic Ovary Syndrome
Authors: Ye Mujin , Hu Bin , Shi Weihui , Guo Fei , Xu Chenming , Li Shuyuan 
Published: July 2021

BackgroundPolycystic ovary syndrome (PCOS) is a common endocrine disorder worldwide. We aimed to examine the associations of two mitochondrial DNA (mtDNA) biomarkers in the peripheral blood, mtDNA copy number (CN), and mtDNA4977 deletion rate (DR), with PCOS in a clinical setting.MethodsWe performed a study involving 263 women with PCOS and 326 age-matched controls between June 2015 and June 2019. The mtDNA CN and mtDNA4977 DR were measured using multiplex probe-based qPCR. The associations of the mtDNA CN and mtDNA4977 DR with the risk of PCOS were estimated using logistic regression.ResultsAnalysis of the associations between mtDNA biomarkers and PCOS indicate that the mtDNA CN (P = 0.003) and mtDNA4977 DR (P &lt; 0.001) in PCOS patients were significantly higher than those in the controls. After adjusting for the body mass index, luteinizing hormone/follicle-stimulating hormone ratio, and testosterone level, only higher mtDNA4977 DR was associated with PCOS (odds ratio 1.053, 95% confidence interval 1.024 to 1.083; P &lt; 0.001). The linear dose-response trends of the mtDNA4977 DR were also supported by the quartile analysis.ConclusionMultivariable models suggest that mtDNA4977 DR levels are strongly associated with PCOS and represent an independent risk factor for PCOS. Further investigation of the utility of mtDNA as a biomarker for PCOS is warranted.
Optimizing the RMC Code Using the Decay Chain Method for Large-Scale Decay Calculations
Authors: Li Hao , Yu Ganglin , Huang Shanfang , Wang Kan 
Published: July 2021

Decay calculations play an important role in reactor physics simulations. In particular, the isotopic decay of the burned fuel during refueling is important for predicting the startup reactivity of the following burn-up cycle. In addition, there is a growing interest in high-fidelity simulations where the mesh in the burn-up region can involve millions of regions. However, existing models repeatedly solve the same Bateman equations for each region, which is a waste of calculational resources. RMC is a Monte Carlo neutron transport code developed for advanced reactor physics analysis including criticality calculations and burn-up calculations. This paper presents a decay calculation method named the Decay Chain Method (DCM) to optimize the RMC code for large-scale decay calculations. Unlike traditional methods, the Decay Chain Method solves the Bateman equations one decay chain at a time rather than one region at a time. The decay calculation in the burn-up mode then treats the decay steps as zero power burn-up steps with some optimized calculational methods to further reduce the calculational time. These methods were evaluated for a single pin example and for a Virtual Environment for Reactor Applications (VERA) full-core example. The calculations for the single pin example verify the accuracy of the decay step treatment in the burn-up mode and show the improved efficiency. The single pin is divided into 1–1,000,000 decay regions to study the efficiency differences between the Transmutation Trajectory Analysis (TTA) and DCM methods. Both methods have a linear complexity with respect to the number of regions but DCM costs just one-sixtieth of the TTA time. In the simplified VERA full core example, the DCM method reduces the decay calculation time to 0.32 min from 75.26 min while the accuracy remains unchanged.
Immunopeptidomics-Guided Warehouse Design for Peptide-Based Immunotherapy in Chronic Lymphocytic Leukemia
Authors: Nelde Annika , Maringer Yacine , Bilich Tatjana , Salih Helmut R. , Roerden Malte , Heitmann Jonas S. , Marcu Ana , Bauer Jens , Neidert Marian C. , Denzlinger Claudio , Illerhaus Gerald , Aulitzky Walter Erich , Rammensee Hans-Georg , Walz Juliane S. 
Published: July 2021

Antigen-specific immunotherapies, in particular peptide vaccines, depend on the recognition of naturally presented antigens derived from mutated and unmutated gene products on human leukocyte antigens, and represent a promising low-side-effect concept for cancer treatment. So far, the broad application of peptide vaccines in cancer patients is hampered by challenges of time- and cost-intensive personalized vaccine design, and the lack of neoepitopes from tumor-specific mutations, especially in low-mutational burden malignancies. In this study, we developed an immunopeptidome-guided workflow for the design of tumor-associated off-the-shelf peptide warehouses for broadly applicable personalized therapeutics. Comparative mass spectrometry-based immunopeptidome analyses of primary chronic lymphocytic leukemia (CLL) samples, as representative example of low-mutational burden tumor entities, and a dataset of benign tissue samples enabled the identification of high-frequent non-mutated CLL-associated antigens. These antigens were further shown to be recognized by pre-existing andde novoinduced T cells in CLL patients and healthy volunteers, and were evaluated as pre-manufactured warehouse for the construction of personalized multi-peptide vaccines in a first clinical trial for CLL (NCT04688385). This workflow for the design of peptide warehouses is easily transferable to other tumor entities and can provide the foundation for the development of broad personalized T cell-based immunotherapy approaches.
ECCO2R in 12 COVID-19 ARDS Patients With Extremely Low Compliance and Refractory Hypercapnia
Authors: Ding Xin , Chen Huan , Zhao Hua , Zhang Hongmin , He Huaiwu , Cheng Wei , Wang Chunyao , Jiang Wei , Ma Jie , Qin Yan , Liu Zhengyin , Wang Jinglan , Yan Xiaowei , Li Taisheng , Zhou Xiang , Long Yun , Zhang Shuyang 
Published: July 2021

Purpose: A phenotype of COVID-19 ARDS patients with extremely low compliance and refractory hypercapnia was found in our ICU. In the context of limited number of ECMO machines, feasibility of a low-flow extracorporeal carbon dioxide removal (ECCO2R) based on the renal replacement therapy (RRT) platform in these patients was assessed.Methods: Single-center, prospective study. Refractory hypercapnia patients with COVID-19-associated ARDS were included and divided into the adjusted group and unadjusted group according to the level of PaCO2 after the application of the ECCO2R system. Ventilation parameters [tidal volume (VT), respiratory rate, and PEEP], platform pressure (Pplat) and driving pressure (DP), respiratory system compliance, arterial blood gases, and ECCO2R system characteristics were collected.Results: Twelve patients with refractory hypercapnia were enrolled, and the PaCO2 was 64.5 [56-88.75] mmHg. In the adjusted group, VT was significantly reduced from 5.90 ± 0.16 to 5.08 ± 0.43 ml/kg PBW; DP and Pplat were also significantly reduced from 23.5 ± 2.72 mmHg and 29.88 ± 3.04 mmHg to 18.5 ± 2.62 mmHg and 24.75 ± 3.41 mmHg, respectively. In the unadjusted group, PaCO2 decreased from 94 [86.25, 100.3] mmHg to 80 [67.50, 85.25] mmHg but with no significant difference, and the DP and Pplat were not decreased after weighing the pros and cons.Conclusions: A low-flow ECCO2R system based on the RRT platform enabled CO2 removal and could also decrease the DP and Pplat significantly, which provided a new way to treat these COVID-19 ARDS patients with refractory hypercapnia and extremely low compliance.Clinical Trial Registration:https://www.clinicaltrials.gov/, identifier NCT04340414.
Biotechnological Agents for Patients With Tumor Necrosis Factor Receptor Associated Periodic Syndrome—Therapeutic Outcome and Predictors of Response: Real-Life Data From the AIDA Network
Authors: Vitale Antonio , Obici Laura , Cattalini Marco , Lopalco Giuseppe , Merlini Giampaolo , Ricco Nicola , Soriano Alessandra , La Torre Francesco , Verrecchia Elena , Insalaco Antonella , Dagna Lorenzo , Jaber Masen Abdel , Montin Davide , Emmi Giacomo , Ciarcia Luisa , Barneschi Sara , Parronchi Paola , Ruscitti Piero , Maggio Maria Cristina , Viapiana Ombretta , Sota Jurgen , Gaggiano Carla , Giacomelli Roberto , Sicignano Ludovico Luca , Manna Raffaele , Renieri Alessandra , Lo Rizzo Caterina , Frediani Bruno , Rigante Donato , Cantarini Luca 
Published: July 2021

Objective: To describe the role of biotechnological therapies in patients with tumor necrosis factor receptor associated periodic syndrome (TRAPS) and to identify any predictor of complete response.Methods: Clinical, laboratory, and therapeutic data from 44 Caucasian TRAPS patients treated with biologic agents were retrospectively collected in 16 Italian tertiary Centers.Results: A total of 55 biological courses with anakinra (n = 26), canakinumab (n = 16), anti-TNF-α agents (n = 10), and tocilizumab (n = 3) were analyzed. A complete response was observed in 41 (74.5%) cases, a partial response in 9 (16.4%) cases and a treatment failure in 5 (9.1%) cases. The frequency of TRAPS exacerbations was 458.2 flare/100 patients-year during the 12 months prior to the start of biologic treatment and 65.7 flare/100 patients-years during the first 12 months of therapy (p &lt; 0.0001). The median duration of attacks was 5.00 (IQR = 10.50) days at the start of biologics and 1.00 (IQR = 0.00) days at the 12-month assessment (p &lt; 0.0001). Likewise, a significant reduction was observed in the Autoinflammatory Disease Activity Index during the study period (p &lt; 0.0001). A significant corticosteroid sparing effect was observed as early as the first 12 months of treatment both in the number of patients requiring corticosteroids (p = 0.025) and in the dosages employed (p &lt; 0.0001). A significant reduction was identified in the erythrocyte sedimentation rate (p &lt; 0.0001), C reactive protein (p &lt; 0.0001), serum amyloid A (p &lt; 0.0001), and in the 24-h proteinuria dosage during follow-up (p = 0.001). A relapsing-remitting disease course (OR = 0.027, C.I. 0.001–0.841, p = 0.040) and the frequency of relapses at the start of biologics (OR = 0.363, C.I. 0.301–0.953, p = 0.034) were significantly associated with a complete response. No serious adverse events were observed.Conclusions: Treatment with biologic agents is highly effective in controlling clinical and laboratory TRAPS manifestations. Patients with a relapsing-remitting course and a lower frequency of flares at the start of treatment show more likely a complete response to biologic agents.