bluuebunny/crossref_metadata_2025_split huggingface dataset:
DETEKSI UNSUR LOGAM DENGAN XRF DAN ANALISIS MIKROBA PADA LIMBAH AIR ASAM TAMBANG DARI PERTAMBANGAN DI LAMURU - KABUPATEN BONE
Authors: Fahruddin Fahruddin , Haedar Nur , Abdullah As’adi , Wahab Abdul , Rifaat Rifaat 
Published: May 2020

Perkembangan industri pertambangan di Indonesia semakin pesat, seperti pertambangan batu bara yang ada di Lamuru Kabupaten Bone, Sulawesi Selatan. Tentu hal ini menimbulkan masalah pencemaran lingkungan oleh adanya limbah pertambangan, salah satunya adalah limbah air asam tambang (AAT). Tujuan penelitian adalah deteksi kandungan logam berat dan analisis mikrobiologi pada air asam tambang. Deteksi kandungan logam berat menggunakan X-ray Fluorescence (XRF), anlisis sulfat dengan metode spektrofotometer 430 nm, pH dengan pH meter dan analisis mikrobiologi menggunakan metode plate count. Hasilnya, terdeteksi adanya logam berat, yang paling dominan adalah Fe 56,29 %, diikuti Mn 1,36%, Ti 0,47%, dan Nb 0,50%. Kandungan sulfat 6,2 ppm dan pH 3.7. Pada pengamatan mikrobiologis diperoleh bakteri peredusi sulfat18,7 x 104/ml dan jumlah total mikroba adalah 67,5 x 104/ml.
Precision Analysis of Poisson Control Chart Based on Sample Size
Authors: Sari Elsa Resa 
Published: May 2020

One technique used in performing statistical quality control is by poisson control chart. Poisson control chart used in data that have the same mean and varians for monitoring the number of defects in the study. In some cases, the different sample sizes influence the control chart performance. The control chart performance can be measured using average run length (ARL). The smaller ARL’s value, the better type of control chart. In this study, we used different sample sizes that is and mean . The result show the best performance of control chart is when and m = 200, because its has a smaller ARL’s value.
The solution of nonlinear parabolic equation using variational iteration method
Authors: Wartono Wartono , Suryani Irma 
Published: May 2020

Variational iteration method is a semi analytic solution used to solve the parabolic differential equation both of homogen or nonhomogen. In the process of determining an approximation solution, this method did not use a linearization and a small pertubation. In this paper, the variational iteration method is implemented in the parabolic differential equation in the form of ut = uxx + f(u) + g(x, t) with appropriate intial condition. Furthermore, some examples of special parabolic differential equations are given to test the reliability and convergence of the method. Based on the result of study shows that the variational iteration method is able to solve the parabolic differential equation with a good accuration.
Genomic Variation between PRSV Resistant Transgenic SunUp and Its Progenitor Cultivar Sunset
Authors: Fang Jingping , Wood Andrew , Chen Youqiang , Yue Jingjing , Ming Ray 
Published: May 2020

Abstract
Background: The safety of genetically transformed plants remains a subject of scrutiny. Genomic variants in PRSV resistant transgenic papaya will provide evidence to rationally address such concerns. Results: In this study, a total of more than 74 million Illumina reads for progenitor ‘Sunset’ were mapped onto transgenic papaya ‘SunUp’ reference genome. 310,364 single nucleotide polymorphisms (SNPs), 34,071 small Inserts/deletions (InDels) and 1,200 large structural variations (SVs) were detected between ‘Sunset’ and ‘SunUp’. Those variations have an uneven distribution across nine chromosomes in papaya. Only 0.27% of mutations were predicted to be high-impact mutations. ATP-related categories were highly enriched among these high-impact genes. The SNP mutation rate was about 8.4×10-4 per site, comparable with the rate induced by spontaneous mutation over numerous generations. The transition-to-transversion ratio was 1.439 and the predominant mutations were C/G to T/A transitions. Spontaneous mutations were the leading cause of SNPs in transgenic papaya ‘SunUp’. A total of 3,430 nuclear plastid DNA (NUPT) and 2,764 nuclear mitochondrial DNA (NUMT) junction sites have been found in ‘SunUp’, which is proportionally higher than the predicted total NUPT and NUMT junction sites in ‘Sunset’ (3,346 and 2,745, respectively). Among all nuclear organelle DNA (norgDNA) junction sites, 96% of junction sites were shared by ‘SunUp’ and ‘Sunset’. The average identity between ‘SunUp’ specific norgDNA and corresponding organelle genomes was higher than that of norgDNA shared by ‘SunUp’ and ‘Sunset’. Six ‘SunUp’ organelle-like borders of transgenic insertions were nearly identical to corresponding sequences in organelle genomes (98.18~100%). None of the paired-end spans of mapped ‘Sunset’ reads were elongated by any ‘SunUp’ transformation plasmid derived inserts. Significant amounts of DNA were transferred from organelles to the nuclear genome during bombardment, including the six flanking sequences of the three transgenic insertions.Conclusions: Comparative whole-genome analyses between ‘SunUp’ and ‘Sunset’ provide a reliable estimate of genome-wide variations and evidence of organelle-to-nucleus transfer of DNA associated with biolistic transformation.
Earthquake Preparedness of Households and Its Predictors Based on Health Belief Model
Authors: Rostami-Moez Masoumeh , Rabiee-Yeganeh Mohammad , Shokouhi Mohammadreza , Dosti-Irani Amin , Rezapur-Shahkolai Forouzan 
Published: May 2020

Abstract
Background: Earthquakes are one of the most destructive natural disasters in which many people are injured, disabled, or died. Iran has only one percent of the world's population, but the percentage of its earthquake-related deaths is absolutely higher. Therefore, this study aimed to determine the level of earthquake preparedness of households and its predictors using the Health Belief Model (HBM).Methods: This observational descriptive and analytical study was conducted on 933 households in Hamadan province, located in the west of Iran, in 2019. Multi-stage cluster random sampling was used for selecting the participants. The inclusion criteria were being at least 18 years old and being able to answer the questions. A questionnaire was used for data collection including earthquake preparedness, awareness of earthquake response, predictors of earthquake preparedness based on the HBM, and demographic information. Analysis of variance, independent t-test, and a linear regression model was used.Results: The mean age of participants was 38.24 ±12.85 years. The average score of earthquake preparedness was low (approximately 30%). There was a significant relationship between earthquake preparedness and gender (P < 0.001), homeownership (P < 0.001), marriage status (P < 0.001), education (P < 0.001), and previous earthquake experience (P < 0.001). Regarding the HBM constructs, perceived benefits (P < 0.001), cues to action (P < 0.001), and self-efficacy (P < 0.001) were significant predictors of earthquake preparedness. Conclusions: Earthquake preparedness was insufficient. Besides, perceived benefits, cues to action, and self-efficacy were predictors of earthquake preparedness. These predictors can be taken into account, for designing and implementing related future interventions.
Plasma creatine kinase and all-cause mortality in patients on peritoneal dialysis: a multi-center retrospective study
Authors: Wen Yueqiang , Peng FenFen , Feng Xiaoran , Wang Niansong , Zhan Xiaojiang , Wu Xianfeng 
Published: May 2020

Abstract
Background: Higher plasma creatine kinase (CK) values are associated with the failure of antihypertensive treatment. However, an association between CK and all-cause mortality in peritoneal dialysis (PD) patients has received little attention.Methods: In this retrospective multicenter study, 2224 incident PD patients with baseline CK values were enrolled from November 1, 2005, to February 28, 2017. All patients with oral statins were excluded and then were divided into four groups [Quartile 1 (<60 U/L), Quartile 2 (60-100 U/L), Quartile 3 (101-179 U/L), and Quartile 4 (>179 U/L)]. The primary endpoint was all-cause mortality. The association between plasma CK values and all-cause mortality was assessed with Cox regression and the Fine and Gray models.Results: Of eligible 1382 patients, 298 (21.6%) patients died during a median 35-month (interquartile range=19-54 months) follow-up period. Patients in Quartile 4 were older (P<0.001), more likely to be male (P<0.001), had a higher prevalence of diabetes (P=0.002), and a history of cardiovascular disease (P=0.005), and higher values of Charlson comorbidity index (P=0.031). All-cause mortality incidence had a significant difference among the four Quartiles (Quartile 1, 16.2%; Quartile 2, 22.2%; Quartile 3, 23.8%; Quartile 4, 24.1%; P=0.043). Quartile 4 had a higher all-cause mortality compared to other groups (Log Rank=10.55, P=0.015). After adjusting for confounding factors, the highest CK quartile had a hazard ratio (HR) for all-cause mortality of 1.72 [95% confidence interval (CI) 1.31-3.26, P=0.042]. With kidney transplantation or hemodialysis as a competing risk, the Quartile 4 had an HR for all-cause mortality of 1.64 (95%CI 1.25-3.48, P=0.046), after adjusting for confounding factors. Conclusions: Higher plasma CK levels at the commencement of PD may be a valuable biomarker for predicting the development of all-cause mortality in PD patients.
Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis
Authors: Cheng Lixin , Nan Chuanchuan , Kang Lin , Zhang Ning , Liu Sheng , Chen Huaisheng , Hong Chengying , Chen Youlian , Liang Zhen , Liu Xueyan 
Published: May 2020

Abstract
Background: Sepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited. Methods: We performed an in silico investigation of the gene coexpression pattern for the patients response to all-cause sepsis in consecutive intensive care unit (ICU) admissions. Sepsis coexpression gene modules were identified using WGCNA and enrichment analysis. lncRNAs were determined as sepsis biomarkers based on the interactions among lncRNAs and the identified modules. Results: Twenty-three sepsis modules, including both differentially expressed modules and prognostic modules, were identified from the whole blood RNA expression profiling of sepsis patients. Five lncRNAs, FENDRR, MALAT1, TUG1, CRNDE, and ANCR, were detected as sepsis regulators based on the interactions among lncRNAs and the identified coexpression modules. Furthermore, we found that CRNDE and MALAT1 may act as miRNA sponges of sepsis related miRNAs to regulate the expression of sepsis modules. Ultimately, FENDRR, MALAT1, TUG1, and CRNDE were reannotated using three independent lncRNA expression datasets and validated as differentially expressed lncRNAs. Conclusion: The procedure facilitates the identification of prognostic biomarkers and novel therapeutic strategies of sepsis. Our findings highlight the importance of transcriptome modularity and regulatory lncRNAs in the progress of sepsis.
Digital versus analogue chest drainage system in patients with primary spontaneous pneumothorax: a randomized controlled trial
Authors: Mooren Kris , Ruigrok Dieuwertje , Kunst Peter W.A. , Blacha Marielle M.J. , Tomlow Ben , Herbrink Jacobine W. , Japenga Eva J. , Boersma Wim , Bresser Paul , Lee Ivo van der 
Published: May 2020

Abstract
Background Patients with a primary spontaneous pneumothorax (PSP) who are treated with chest tube drainageare traditionally connected to an analogue chest drainage system, containing a water seal and using a visual method of monitoring air leakage. Electronic systems with continuous digital monitoring of air leakage provide better insight into actual air leakage and changes in leakage over time, which may lead to a shorter length of hospital stay.Methods We performed a randomized controlled trial comparing the digital with analogue system, with theaim of demonstrating that use of a digital drainage system in PSP leads to a shorter hospital stay.Results In 102 patients enrolled with PSP we found no differences in total duration of chest tube drainageand hospital stay between the groups. However, in a post-hoc analysis, excluding 19 patients needing surgery due to prolonged air leakage, hospital stay was significantly shorter in the digital group (median 1 days, IQR 1-5 days) compared to the analogue group (median 3 days, IQR 2-5 days) (p 0.014). Treatment failure occurred in 3 patients in both groups; the rate of recurrence within 12 weeks was not significantly different between groups (16% in the digital group versus 8% in the analogue group, p 0.339).Conclusion Length of hospital stay was not shorter in patients with PSP when applying a digital drainage system compared to an analogue drainage system. However, in the large subgroup of uncomplicated PSP, a significant reduction in duration of drainage and hospital stay was demonstrated with digital drainage. These findings suggest that digital drainage may be a practical alternative to manual aspiration in the management of PSP. Trial registration: https://www.trialregister.nl/trial/4022. Registered 22 September 2013 - Retrospectively registered, Trial NL4022 (NTR4195)
Prediction of Drug-target interactions from heterogeneous information network based on LINE embedding model
Authors: Ji Bo-Ya , You Zhu-Hong , Jiang Han-Jing , Guo Zhen-Hao , Zheng Kai 
Published: May 2020

Abstract
Background: The prediction of potential drug-protein target interactions (DTIs) not only provides a better comprehension of biological processes but also is critical for identifying new drugs. However, due to the disadvantages of expensive and high time-consuming traditional experiments, only a small section of interactions between drugs and targets in the database were verified experimentally. Therefore, it is meaningful and important to develop new computational methods with good performance for DTIs prediction. At present, many existing computational methods only utilize the single type of interactions between drugs and proteins without paying attention to the associations and influences with other types of molecules. Methods: In this work, we developed a novel network embedding-based heterogeneous information integration model to predict potential drug-target interactions. Firstly, a heterogeneous information network is built by combining the known associations among protein, drug, lncRNA, disease, and miRNA. Secondly, the Large-scale Information Network Embedding (LINE) model is used to learn behavior information (associations with other nodes) of drugs and proteins in the network. Hence, the known drug-protein interaction pairs can be represented as a combination of attribute information (e.g. protein sequences information and drug molecular fingerprints) and behavior information of themselves. Thirdly, the Random Forest classifier is used for training and prediction. Results: In the results, under the 5-fold cross validation, our method obtained 85.83% prediction accuracy with 80.47% sensitivity at the AUC of 92.33%. Moreover, in the case studies of three common drugs, the top 10 candidate targets have 8 (Caffeine), 7 (Clozapine) and 6 (Pioglitazone) are respectively verified to be associated with corresponding drugs. Conclusions: In short, these results indicate that our method can be a powerful tool for predicting potential drug-protein interactions and finding unknown targets for certain drugs or unknown drugs for certain targets.
Temporal expression patterns of fruit-specific α- EXPANSINS during cell expansion in bell pepper (Capsicum annuum L.)
Authors: Mayorga-Gómez Andrés , Nambeesan Savithri 
Published: May 2020

Abstract
Background Expansins (EXP) facilitate non-enzymatic cell wall loosening during several phases of plant growth and development including fruit growth, internode expansion, pollen tube growth, leaf and root development, and during abiotic stress responses. In this study, the spatial and temporal expression patterns of C. annuum α- EXPANSINS (CaEXPA) genes were characterized. Additionally, fruit-specific CaEXPA expression was correlated with the rate of cell expansion during bell pepper fruit development. Results Spatial expression patterns revealed that CaEXPA13 was up-regulated in vegetative tissues and flowers, with the most abundant expression in mature leaves. Expression of CaEXPA4 was associated with stems and roots. CaEXPA3 was expressed abundantly in flower at anthesis suggesting a role for CaEXPA3 in flower development. Temporal expression analysis revealed that 9 out of the 21 genes were highly expressed during fruit development. Of these, expression of six genes, CaEXPA5, CaEXPA7, CaEXPA12, CaEXPA14 CaEXPA17 and CaEXPA19 were abundant 7 to 21 days after anthesis (DAA), whereas CaEXP6 was strongly expressed between 14 and 28 DAA. Further, this study revealed that fruit growth and cell expansion occur throughout bell pepper development until ripening, with highest rates of fruit growth and cell expansion occurring between 7 and 14 DAA. The expression of CaEXPA14 and CaEXPA19 positively correlated with the rate of cell expansion, suggesting their role in post-mitotic cell expansion-mediated growth of the bell pepper fruit. In this study, a ripening specific EXP transcript, CaEXPA9 was identified, suggesting its role in cell wall disassembly during ripening.Conclusion This is the first genome-wide study of CaEXPA expression during fruit growth and development. Identification of a fruit-specific EXPAs suggest their importance in facilitating cell expansion during growth and cell wall loosening during ripening in bell pepper. These EXPA genes could be important targets for future manipulation of fruit size and ripening characteristics.
Prophylactic prednisolone for the prevention of early and intermediate adverse effects of radioactive iodine therapy in patients with thyroid cancer: study protocol for a single centre, phase II/III, randomized, double blinded, placebo controlled clinical trial
Authors: Jayarajah Umesh , Wijekoon Mahilal , Seneviratne Sanjeewa 
Published: May 2020

Abstract
BackgroundRadioactive iodine (RAI) therapy is the standard adjuvant treatment for differentiated thyroid cancer (i.e. papillary and follicular). RAI is associated with troublesome early, intermediate and late adverse effects. Although glucocorticoids are used for the management of these adverse effects, there is little evidence regarding the effectiveness of prophylactic glucocorticoids to prevent these complications. This trial will evaluate the efficacy of a short course of prophylactic glucocorticoids in the prevention of adverse effects of RAI treatment in patients with differentiated thyroid cancer.MethodsA phase II/III, single centre, randomized, double blinded, placebo controlled, parallel arm clinical trial will be conducted. Patients with differentiated thyroid cancer who are referred to RAI therapy at the National Cancer Institute, Sri Lanka will be randomised into two arms consisting of 200 patients each. The experimental group will receive prophylactic oral prednisolone 0.5mg/kg and omeprazole 20mg single dose 6 hours before RAI therapy followed by oral prednisolone 0.5mg/kg and omeprazole 20mg daily for 3 days. The control group will receive oral placebo and omeprazole 20mg single dose 6 hours before RAI therapy followed by oral placebo and omeprazole 20mg daily for 3 days. Clinically significant adverse effects assessed as related to RAI as well as prednisolone therapy and the quality of life parameters will be compared between the two groups.DiscussionIf proven beneficial, this intervention can be incorporated into the standard practice to reduce early and intermediate adverse effects of RAI for thyroid cancer with a potential improvement of quality of life. Trial registrationRegistration ID: Sri Lanka Clinical Trials Registry: SLCTR/2020/009 Registered prospectively on 23 February 2020. Url: https://slctr.lk/trials/slctr-2020-009
Application of Droplet Digital PCR for the Detection of Vector Copy Number in Clinical CAR/TCR T-Cell Products
Authors: Lu Alex , Liu Hui , Shi Rongye , Cai Yihua , Ma Jinxia , Shao Lipei , Rong Victor , Gkitsas Nikolaos , Lei Hong , Highfill Steven L. , Panch Sandhya , Stroncek David F. , Jin Ping 
Published: May 2020

Abstract
Background : Genetically engineered T cells have become an important therapy for B-cell malignancies. Measuring the efficiency of vector integration into the T cell genome is important for assessing the potency and safety of these cancer immunotherapies. Methods: A digital droplet polymerase chain reaction (ddPCR) assay was developed and evaluated for assessing the average number of lenti- and retroviral vectors integrated into Chimeric Antigen Receptor (CAR) and T-Cell Receptor (TCR)-engineered T cells. Results: The ddPCR assay consistently measured the concentration of an empty vector in solution and the average number of CAR and TCR vectors integrated into T cell populations. There was a linear relationship between the average vector copy number per cell measured by ddPCR and the proportion of cells transduced as measured by flow cytometry. Similar vector copy number measurements were obtained by different staff using the ddPCR assay, highlighting the assays reproducibility among technicians. Analysis of fresh and cryopreserved CAR-T and TCR engineered T cells yielded similar results. Conclusions: ddPCR is a robust tool for accurate quantitation of average vector copy number in CAR and TCR engineered T-cells. The assay is also applicable to other types of genetically engineered cells including Natural Killer cells and hematopoietic stem cells.
Celecoxib added to mood stabilizer for treating acute mania: A randomized, double -blind, placebo-controlled trial
Authors: Faridhosseini Farhad , talaei Ali , shahini najmeh , poorgholami meysam , eslamzadeh mahbobeh , ahrari Samira , rezaeian majid khadem 
Published: May 2020

Abstract
Background: Inflammatory processes in the brain contribute to the aetiopathogenesis of acute mania. Cyclooxygenase-2 (COX-2) inhibitors, such as celecoxib, reduce the production of pro-inflammatory cytokines. The purpose of the present investigation was to assess the efficacy of celecoxib in the treatment of ACUTE MANIA.Methods: We conducted double-blind, placebo-controlled trial at the Specialty in-patient Clinic of Ibne Sina Hospital [Mashhad University of Medical Sciences, Iran] during March 2014 to August 2014. The study involved 58 patients who met the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria for ACUTE MANIA screening to participate in the trial were used for the study. 23 patients were assigned to a study group and were given valprovate sodium 200 mg /BD plus celecoxib 400 mg/day (200 mg BID). The control group included 22 patients who were given valprovate sodium 200 mg /BD plus placebo. Patients were assessed by yung mania rating scale (YMRS) at baseline 0, after 9, 18, and 28 days after the medication started. Data were analyzed by using Statistical Package for Social Sciences (SPSS) 11.5., two-way repeated measures analysis of variance, Fisher’s exact test, and T-Test. P≤0.05 was considered to be statistically significant. Conclusion: This study suggested that celecoxib can be an effective adjuvant agent in management of patients with ACUTE MANIA and anti-inflammatory therapies should further be investigated in this patients.Trial registration: Iran clinical trial register: IRCT20200306046708N1 Registered on 2 October 2019.