bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison and Selection Criterion of Missing Imputation Methods and Quality Assessment of Monthly Rainfall in The Central Refit Valley Lakes Basin of Ethiopia
Authors: Balcha Sisay Kebede , Hulluka Taye Alemayehu , Awass Adane Abebe , Bantider Amare 
Published: November 2021

Abstract
Missing data is a common problem in all scientific research and the availability of gap-free data is rare in most developing countries. Statistical and empirical methods are the most often used for approximation of missing data. The performance of eight missing estimation methods was evaluated using bias, RMSE, and NSE. The Multicriteria decision method of compromise programing approach was used to identify the best imputation method. Four homogeneity test methods were used to evaluate the homogeneity of the time series data. The Mann-Kendall trend test and Son’s slope were used to locate the change and calculate the magnitude of the trend. Multiple Linear Regression and Multiple Imputation by chained equations were well performed over most stations. Alternatively, the modified version of IDWM based on spatial distance and elevation difference (IDWME&D3) was ranked as third at many stations. The inclusion of elevation differences between stations has improved the capability of the inverse distance weight method. However, the performance of all the missing estimation methods decreased as the percentage of missing increased. Radius influences have no significant impact on the performance of missing imputation methods. Only Butajera station exhibited nonhomogeneous. Dagaga, Iteya, Bui, and Butajera stations all exhibited decreasing trends. Kulumsa and Ejerese-lele stations presented an increasing trend in monthly rainfall. However, the rest station has shown no significant increasing or decreasing trends in monthly rainfall.
Impact of Spatial Misallocation of Electric Power Resources on Economic Efficiency and Carbon Emissions in China
Authors: Wang Delu , Zhang Suqing , Wang Yadong , Mao Jinqi 
Published: November 2021

Abstract
The relationship between resource misallocation and productivity has become a hot topic in recent years, but few studies examined the impact of spatial misallocation of electric power resources (SMEPRs) on economic efficiency and carbon emissions. Here, we constructed a calculation model of SMEPRs that can measure both the misallocation degree and direction and uncovered the spatiotemporal evolvement mechanism of SMEPRs. On this basis, we explored the impact of SMEPRs on regional economic efficiency and carbon emissions using panel data from 29 provinces in China from 1988-2017. The results demonstrate that the high level of SMEPRs in China shows complex spatiotemporal characteristics and significantly affects the regional economic efficiency and carbon emissions. Specifically speaking: first, SMEPRs presents the characteristics of the coexistence of excessive and insufficient allocation among provinces and regions, the increasing extent of misallocation in the eastern and western regions, and the gradual decline in the central region; second, SMEPRs has a strong negative effect on the regional economic efficiency and carbon emissions by affecting regional industrial structures, which indicates that SMEPRs is an important factor restricting the high-quality development of regional economies. The research observations offer fresh insights to upgrading the high-quality and green development of China's power sector and promoting regional economic transformation and ecological sustainability.
Self-Reported Diabetes Or Hypertension Diagnoses And Antenatal Care Among Child-Bearing Women In Rural Bangladesh: A Cross-Sectional Study
Authors: Bear Allyson P. , Bennett Wendy L. , Katz Joanne , Lee Kyu Han , Chowdhury Atique Iqbal , Bari Sanwarul , Arifeen Shams El , Gurley Emily S. 
Published: November 2021

Abstract
Background: Health care systems in limited resource settings may not meet the needs of pregnant women where the burden of diabetes and hypertension is rapidly increasing. We described screening and diagnosis of diabetes or hypertension among recently pregnant women in rural Bangladesh and the antenatal care received.Methods: We asked recently pregnant women about ever having been screened for or diagnosed with hypertension or diabetes and their antenatal care-seeking experiences in a cross-sectional survey in the Baliakandi, Bangladesh. We used chi-squared tests and logistic regression to test the associations between self-reported coverage of hypertension and diabetes screening, diagnoses, and elements of antenatal care by age, wealth, educational attainment, and gravidity. Results: Among 4,692 respondents, 97% reported having been screened and 10% of screened women reported a diagnosis of hypertension. Women 30–39 years of age (aOR 3.02, 95% CI 2.00, 4.56) or in the top wealth quintile (aOR 1.70, 95% CI 1.18, 2.44) were more likely to be diagnosed with hypertension compared to reference groups. Any hypertension diagnosis was associated with reporting four or more antenatal care contacts (44% vs. 35%, p < 0.01), blood pressure measurements (85% vs. 79%, p < 0.01), and urine (71% vs. 61%, p < 0.01) tests conducted during antenatal care visits.For diabetes, 46% of respondents reported having been screened and 3% of screened women reported a diagnosis. Women 30–39 years of age were more likely to be diagnosed with diabetes (aOR 8.19, 95% CI 1.74, 38.48) compared to the reference group. Any diabetes diagnosis was associate with reporting four or more antenatal care contacts (48% vs. 36%, p = 0.04) and having blood testing during pregnancy (83% vs. 66%, p < 0.01). However, the frequency and quality of antenatal care was below the national guidelines among all groups.Conclusion: Focused efforts to ensure that women receive the recommended number of antenatal care contacts, coupled with improved compliance with antenatal care guidelines (including universal screening for diabetes at 24–28 weeks of pregnancy), would improve awareness of hypertension and diabetes among women in Bangladesh.
Pain catastrophizing and related influencing factors in pro-operative total knee arthroplasty in Lanzhou, China : a cross-sectional study
Authors: Ma Tong , Pei Juhong , Wang Xiangfu , Li Chenxu , Ye Bingli , zhao jirong 
Published: November 2021

Abstract
Background

The pain catastrophizing of preoperative total knee arthroplasty (TKA) patients is influenced by many factors and have not been well characterized in the literature. Therefore, the present study aims to investigate the current state and risk factors of pro-operative pain catastrophizing in subjects undergoing TKA.
Methods

This descriptive cross-sectional study was conducted at the orthopaedics ward of two tertiary hospitals in Lanzhou, China. The Chinese version of the Pain Catastrophizing Scale (PCS), the SF-36 (the physical function domain), the Numerical Rating Scale (NRS), the Oxford Knee Score (OKS), the Hospital Anxiety and Depression Scale (HADS) and the Life Orientation Test-Revised (LOT-R) were used.
Results

The study included 360 participants. Among all participants, pro-operative TKA patients’ pain catastrophizing was at a high level, with a mean score of 24.92 (SD 12.38). The stepwise multiple linear regression analysis showed that anxiety (β = 0.548, P < 0.01), education level (β=-0.179, P < 0.01), physical function (β=-0.156, P < 0.01), and pain intensity during activity (β = 0.105, P = 0.015) are influencing factors for pain catastrophizing, which could explain 51.2% of the total variation in pain catastrophizing (F=95.149, P < 0.01).
Conclusion

Anxiety is the most important variable influencing pain catastrophizing in pro-operative TKA patients, and lower education levels, poor physical function and stronger pain intensity during activity were also associated with higher pain catastrophizing.
Multicenter Prospective Cohort on Aortic Valve Stenosis in Japanese Patients With End Stage Kidney Disease in Tokai Region (ASKIT)
Authors: Sasakawa Yuji , Okamoto Naoki , Fujii Maya , Kato Jyoichiro , Yuzawa Yukio , Inaguma Daijo 
Published: November 2021

Abstract
Background:The prevalence of aortic valve stenosis (AS) in patients on maintenance dialysis is high and the prognosis is poor. Because only few large cohort studies have analyzed patients with AS on dialysis, the factors that cause AS in such patients remain unclear.Methods:This multicenter, prospective cohort study included 2,786 patients on dialysis who underwent transthoracic echocardiography between July 1, 2017 and June 30, 2018. Patients with a maximum aortic jet velocity (Vmax) ≥2.0 m/s, pressure gradient (PG) between the left ventricle and ascending aorta (mean PG) ≥20 mmHg, or aortic valve area (AVA) ≤1.0 cm2 were categorized into the AS group. Of these, patients with Vmax ≥3.0 m/s, mean PG ≥20 mmHg, or AVA ≤1.0 cm2 were categorized into the severe AS group. The AS and severe AS groups were then compared with the non-AS group to identify the risk factors for AS using multivariate logistic analysis. We also compared the risk factors for AS with and without aortic valve calcification, which is the stage prior to age-related AS.Results:Of the 2,786 patients analyzed, 555 (20.0%) and 139 (6.9%) were categorized into the AS and severe AS groups, respectively. Multivariate logistic analysis revealed that aging, long-term dialysis, and elevated serum phosphorus levels were associated with AS in the AS and severe AS groups (p <0.05). Additional investigation using stratified multivariate analysis revealed that groups with serum phosphorus levels of 5.0–5.9 mg/dL and >6.0 mg/dL had a higher risk of AS than those with serum phosphorus levels of <4.0 mg/dL (odds ratio: 2.24; p = 0.01 and odds ratio: 2.66, p = 0.005, respectively). Aortic valve calcification was associated with aging, long-term dialysis, diabetes mellitus, administration of vitamin D receptor activators, elevated serum calcium levels, and anemia (p <0.05 for all).Conclusions:Dialysis patients had a high prevalence of AS, and AS was associated with aging, long dialysis duration, and elevated serum phosphorus levels.Trial registration: UMIN000026756, Registered on March 29, 2017.
Study About Minimum Quantity Lubrification in Bearing Holes Bored with Pcd Tools in Aluminum Alloy
Authors: Carvalho Paulo Paiva , Fernandes Gustavo H. N. , Barbosa Lucas M. Q. , de Souza Felipe C. R. , de Sousa José A. G. , Martins Paulo S. , Ba Elhadji H. T. , Machado Álisson R. 
Published: November 2021

Abstract
Cutting Fluid in Abundancy – CFA is a standard cooling technique used in machining due to the good relationship between quality and productivity. However, due to sustainability problems, economic, social, and environmental, several research types have been carried out worldwide about replacing or eliminating these inputs in the cutting process. In this work, three full factorial Design of Experiment - DoE were used to verify the performance and feasibility of replacing the Cutting Fluid in Abundance - CFA by Minimum Quantity Lubrification – MQL during the bearing of holes bored with Polly Cristaline Diamond – PCD tools in aluminum alloy. The input variables were cutting speed (𝑣𝑐), feed per knife (𝑓𝑧) and depth of cut (𝑑𝑜𝑐). While output variables were diameter and circularity deviation. For each machining atmosphere, dry, CFA, and MQL, a full factorial DoE (2 3 ) was performed with test and replicate. A total of 48 runs were performed. The main conclusion is that MQL showed similar CFA results, as proven by the mean hypothesis test. Based on the results of this work, it can be affirmed that MQL could replace the CFA technique.
Zero Carbon Program: A Legacy for a Sustainable Environment and for Higher Education Institutions
Authors: Junior Vicente Toledo Machado Morais , Jacovine Laércio Antônio Gonçalves , Alves Eliana Boaventura Bernardes Moura , Silva Lauana Blenda , Albuquerque Thaynara Pereira , Rocha Thais Almeida , Bezerra Mirza Lago , Brianezi Daniel , Torres Carlos Moreira Miquelino Eleto , Rocha Samuel José Silva Soares , Schettini Bruno Leão Said , Comini Indira Bifano , Romero Flora Magdaline Benitez , Silva Valéria Fatima , Faustino Isabella Salgado , Oliveira Klisman , Santos Tamara Braga , Rufino Maria Paula Miranda Xavier , Villanova Paulo Henrique , Correa Wagner Darlon Dias , Lima Gumercindo Souza , Paiva Haroldo Nogueira , Martins Sebastião Venâncio , Lopes Nathália Lima , Santos Raul Duarte , Cruz Ricardo Alcántara-de la 
Published: November 2021

Abstract
Climate change is one of the biggest global concerns for scientists. Efforts to limit global temperature are still incipient. In Brazil, Higher Education Institutions (HEIs) can play a central role in achieving these efforts. In this sense, the objective is to show the Legacy of the Zero Carbon Program of the Federal University of Viçosa (UFV) for society, science and environment, in 10 years of operation, with a main focus on the ecosystem service related to carbon off-set. A description of the history, emergence and organizational structure of Zero Carbon Program (CZP) was made, based on research carried out over 10 years of activity in the Atlantic Forest in southeastern Brazil. Five main methodological axes have been described to determine the current legacy of the program: (A) GHG Inventory during the Farmer’s Week (FW) at the UFV; (B) GHG neutralization during FW; (C) Development of GHG quantification and neutralization systems; (D) Collection of bibliographic data developed by the CZP; and (E) Survey of sensitized public. The results of the CZP showed that: 4,162 people became aware of the topic of climate change at and 26,186 people at other events; and those 63 scientific studies related were published. A total of 490.64 tCO2eq. GHG emissions were raised during the FW-UFV. Approximately 4,660 trees were planted in a degraded area in southeastern Brazil as a way to neutralize GHG from the event. The CZP presents opportunities for gains from ecosystem services related to responsive carbon management provided to different social actors.
UBE2T Regulates FANCI Monoubiquitination to Promote NSCLC Progression by Activating EMT
Authors: Zhang Jiguang , Wang Jingdong , Wu Jincheng , Huang Jianyuan , Lin Zhaoxian , Lin Xing 
Published: November 2021

Abstract
Background: Fanconi anemia complementation group I (FANCI) acts as a critical protein factor for maintaining DNA stability. However, roles of FANCI in tumors has not been well revealed. In current study, we aimed to explore the function and potential mechanism of FANCI in non-small-cell lung cancer (NSCLC).Methods: To detect the expression of FANCI and UBE2T in NSCLC tissues, quantitative reverse-transcription PCR (qRT-PCR) and Western blot assays were employed. CCK-8, wound healing, Transwell, flow cytometry analysis and tumor xenograft were used to investigate the biological effects of FANCI in NSCLC in vitro and in vivo. FANCI binds with UBE2T was confirmed using coimmunoprecipitation (co-IP) assay. The EMT protein markers were detected via Western blot. Results: FANCI was upregulated in NSCLC tumor tissues compared with adjacent. In A549 and H1299 cells, knockdown of FANCI inhibited cell growth, migration, invasion and cell cycle,as well as epithelial-to-mesenchymal transition (EMT) in vitro. In vivo, the tumor growth was also repressed when FANCI was downregulated. Mechanistically, UBE2T directly bound with FANCI and regulated the monoubiquitination of FANCI. Futhermore, UBE2T restored the inhibitory effects induced by knocking down FANCI in NSCLC cells. Conclusion: FANCI was a putative oncogene in NSCLC, and was monouniubiquitinated by UBE2T to regulate cell growth, invasion and migration. Our findings suggested that FANCI might applied as a predicted biomarker and therapeutic target for NSCLC.
Glibenclamide Directly Prevents Neuroinflammation by Targeting SUR1-TRPM4-Mediated NLRP3 Inflammasome Activation in Microglia
Authors: He Yihua , Chang Yuan , Peng Yuqin , Zhu Juan , Liu Kewei , Chen Jiancong , Wu Yongming , Ji Zhong , Lin Zhenzhou , Wang Shengnan , Gupta Sohan , Zang Nailiang , Pan Suyue , Huang Kaibin 
Published: November 2021

Abstract
Background
Glibenclamide (GLB) reduces brain edema and improves neurological outcome in animal experiments and preliminary clinical studies. Recent studies also suggested a strong anti-inflammatory effect of GLB, via inhibiting Nucleotide-binding oligomerization domain-like receptor containing pyrin domain 3 (NLRP3) inflammasome activation. However, it remains unknown whether the anti-inflammatory effect of GLB is independent of its role in preventing brain edema, and how GLB inhibits the NLRP3 inflammasome is not fully understood.
Methods
Sprague-Dawley male rats underwent 10-min asphyxial cardiac arrest and cardiopulmonary resuscitation or sham-operation. Wild type and Trpm4−/− C57BL/6 male mice underwent radiation-induced brain injury or sham-operation. The Trpm4 siRNA and GLB were injected to block sulfonylurea receptor 1-transient receptor potential M4 (SUR1-TRPM4) channel in rats and mice. Western blotting, quantitative real-time polymerase chain reaction, behavioral analysis, histological examination, and MRI Scanning were used to evaluate the role of GLB in preventing NLRP3-mediated neuroinflammation through inhibiting SUR1-TRPM4, and corresponding neuroprotective effect. To further explore the underlying mechanism, BV2 cells were subjected to lipopolysaccharides, oxygen-glucose deprivation/reperfusion, or radiation.
Results
Here, in mice model of radiation-induced brain injury with minimal brain edema, GLB significantly alleviated neurocognitive deficit and neuropathological damage, via the inhibition of radiation-induced microglial NLRP3 inflammasome activation by blocking SUR1-TRPM4. Likewise, above neuroprotective effects were also confirmed in rat model of cardiac arrest with brain edema combined with neuroinflammation, through preventing SUR1-TRPM4-mediated NLRP3 activation. Of note, the above effects of GLB could be achieved by gene silencing or knockdown of Trpm4. In vitro, SUR1-TRPM4 and NLRP3 inflammasome were also activated in BV2 cells subjected to lipopolysaccharides, oxygen-glucose deprivation/reperfusion, or radiation, which could be blocked by GLB or 9-phenanthrol, a TRPM4 inhibitor. Importantly, activation of SUR1-TRPM4 in BV2 cells required the P2X7 receptor-mediated Ca2+ influx, which in turn magnified the K+ efflux via the Na+ influx-driven opening of K+ channels, leading to the NLRP3 inflammasome activation.
Conclusions
These findings suggest that GLB has a direct anti-inflammatory neuroprotective effect independent of its role in preventing brain edema, through inhibition of SUR1-TRPM4 which amplifies K+ efflux and promotes NLRP3 inflammasome activation.
Development and Validation of a Novel Prognostic Signature with 10 Ferroptosis-Related Genes in Acute Myeloid Leukemia
Authors: Zhu Kai , Lang Zhichao , Zhan Yating , Tao Qiqi , Yu Zhijie , Zhu Bihan , Gao Yuxiang , Wang Chengchi , Yu Kang , Shi Yifen , Jiang Songfu 
Published: November 2021

Abstract
Background

Acute myeloid leukemia (AML) is one of the most common hematopoietic malignancies and exhibits a high rate of relapse and unfavorable outcomes. Ferroptosis, a relatively recently described type of cell death, has been reported to be involved in cancer development. However, the prognostic value of ferroptosis-related genes (FRGs) in AML remains unclear.
Methods

In this study, we found 54 differentially expressed ferroptosis-related genes (DEFRGs) between AML and normal marrow tissues. Eighteen of these 54 DEFRGs were correlated with overall survival (OS) (P <0.05). Using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, we selected 10 DEFRGs that were associated with OS to build a prognostic signature. Data from AML patients from the International Cancer Genome Consortium (ICGC) cohort were used for validation.
Results

Notably, the prognostic survival analyses of this signature passed with a significant margin, and the risk score was identified as an independent prognostic marker using Cox regression analyses. Further studies showed that AML was associated with immune cell infiltration. In addition, drug-sensitive analysis showed that 4 drugs may be beneficial for treatment of AML and we performed qRT-PCR to serve as a clinical validation.
Conclusions

In summary, our study establishes a novel 10-gene prognostic risk signature based on ferroptosis related genes for AML patients and additionally we provide evidence that FRGs may be novel therapeutic targets for AML.
Copper Extraction from Low-Grade Chalcopyrite in a Bioleaching Column Assisted by Bioelectrochemical System
Authors: Zhang Xueming , Zhang Shaohui , Huang Tao , Jin Zhixin 
Published: November 2021

Abstract
Low-grade ores, tailings and solid wastes contain small amounts of valuable heavy metals. Improper disposal of these results in the waste of resources and contamination of soil or groundwater. Accordingly, the treatment and recycling of low-grade ores, tailings and solid wastes attracted much attention recently. Bioelectrochemical system, an innovative technology for the removal and recovery of heavy metals, has been further developed and applied in recent years. In current study, the low-grade chalcopyrite was bioleached with the assistance of microbial fuel cells. Copper extraction along with electricity generation from the low-grade chalcopyrite were achieved in the column bioleaching process assisted by MFCs. Results showed that after 197 days bioleaching of low-grade chalcopyrite, 423.9 mg copper was extracted from 200 g low-grade chalcopyrite and the average coulomb production reached 1.75 C/d. The introduction of MFCs into bioleaching processes promoted the copper extraction efficiency by 2.7 times (3.62% vs. 1.33%), mainly via promoting ferrous oxidation, reducing ORP and stimulating bacterial growth. This work provides a feasible method for the treatment and recycling of low-grade ores, tailings and solid wastes. But balancing energy consumption of aeration and circulation frequency and chemicals consumption of acid to improve the copper extraction efficiency need further investigation.
A Novel Prognostic Nomogram for the 2-year Survival in Human Epidermal Growth Factor Receptor 2 Positive Breast Cancer Patients
Authors: Chen Mengdi , Wu Jiayi , Liu Deyue , Chen Weilin , Chen Weiguo , Shen Kunwei , Zhu Li 
Published: November 2021

Abstract
Background: Targeted therapies have largely improved prognosis of human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Yet, disease can still progress rapidly for some patients in the first two years after diagnosis. Our study aimed to establish a nomogram model to predict the 2-year breast cancer-specific survival (BCSS) in early HER2-positive breast cancer patients. Methods: A total of 32,481 HER2-positive patients derived from Surveillance, Epidemiology, and End Results (SEER) database were included in the construction of nomogram. Concordance index (C-index) and calibration curve were used to evaluate the discrimination ability and predictive accuracy. We tested the model in 804 patients from Shanghai Jiao Tong University Breast Cancer Data Base (SJTU-BCDB). Results: Age, estrogen receptor (ER) status, progesterone receptor (PR) status, histologic type, T stage and N stage were selected to construct the nomogram according to multivariable analysis. The 2-year BCSS rate was 95% and 60% for patients at low risk (<8 points) and high risk (>13 points) respectively. The C-index of model derived from SEER database is 0.81 (95%CI 0.79-0.83). Sensitivity analysis was performed in patients after breast surgeries with the C-index of 0.81 (95%CI, 0.79-0.83). Validation in 804 patients from SJTU-BCDB showed respective C-index of 0.77 (95%CI, 0.62-0.92) in total population, 0.67 (95%CI 0.44-0.90) and 0.90 (95%CI 0.81-0.90) in patients who received anti-HER2 therapy or not. Discussion: The novel nomogram can predict the 2-year survival outcome in HER2-positive patients independent of receiving anti-HER2 therapy or not and allow clinicians to adjust therapeutic strategies for patients with higher risk.