bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-inflammatory effects of functional beverage from a mixture of moringa leaves, pandanus leaves, and red ginger in mice induced with monosodium urate crystal
Authors: Widyaningsih T D , Rachmawati M , Prabawati E , Winarsih S 
Published: May 2021

Abstract
Production of uric acid that exceeds normal limits in the blood (hyperuricemia) can cause the formation of urate crystals and inflammatory reactions. In various studies, moringa leaves, pandanus leaves, and red ginger are known to contain phytochemical components (phenols and flavonoids) that are useful as antioxidants, anti-inflammatory, inhibiting xanthine oxidase enzyme activity, overcoming rheumatism, and antidiabetic. Functional drinks from the mixture of moringa leaves, pandanus leaves, and red ginger were optimised using the response surface method (RSM) in previous studies. The effect of this functional beverage product was tested for its effect as an anti-inflammatory in vivo. The testing process of the anti-inflammatory effect was using intradermally monosodium urate (MSU)-induced mice. Mice were measured for changes in edema, and after two days of treatment, the spleen was taken for flow cytometry testing of inflammatory cytokine expression of CD11b+ TNFα+, CD11b+ IL6+, CD11b+ IL10+, and blood was taken to test the expression of cytokine CD11b+ TNFα+. The results showed functional beverage products could potentially be used as an alternative anti-inflammatory agent in gout because it significantly inhibited edema, significantly inhibited the expression of proinflammatory cytokines CD11b+ TNFα+ and CD11b+ IL6+ and increased the expression of anti-inflammatory cytokines CD11b+ IL10+, where the anti-inflammatory effect was not significantly different from the control of indomethacin drugs.
Co-digestion of cocoa pods and cocoa leaves: Effect of C/N ratio to biogas and energy potential
Authors: Suhartini S , Hidayat N , Hadi M W R 
Published: May 2021

Abstract
In Indonesia, energy needs are mostly fulfilled by non-renewable fuels. In the longer term, such practices may lead to an energy crisis due to problems of resource continuity and availability. Therefore, the development of renewable energy remains a priority for the Indonesian Government, one of which is from biomass sources. Indonesia has vast and abundant biomass sources available for further transformation to bioenergy. Waste from the cocoa plantation (e.g. cocoa pods and cocoa leaves), for instance, contain organic materials that are potential for biogas production. This research aimed to evaluate the effect of the C/N ratio on biogas production and energy potential from the co-digestion of cocoa husk with cocoa leaves. The Biochemical Methane Potential (BMP) test operated under batch and mesophilic condition for 28 days were carried out. The samples tested include blank control, positive control (α-cellulose), and co-digestion samples at different C/N ratio in the range of 22 to 25, prepared in triplicate. The results indicated that pH inhibition was not evident during the digestion process. The findings also confirmed that the co-digestion of cocoa pods with cocoa leaves at a much higher C/N ratio was able to enhance biogas production. Further estimation on the electricity potential showed a potential application of this co-digestion strategy for providing alternative renewable energy sources.
Effect of mixture ratio on co-digestion of vegetable and fruit waste with macro-algae, chicken manure and tofu dregs
Authors: Suhartini S , Naraswati A S , Nurika I 
Published: May 2021

Abstract
Fruit and vegetable wastes (FVW) are generated in many traditional markets in Indonesia and mostly disposed directly to landfill. Various studies highlighted that FVW could be further valorised either as bioenergy resources or other high-value products. In this study, the biochemical methane potential (BMP) and its electrical energy potential from co-digestion of FVW with macro-algae (MA), chicken manure (CM) and tofu dregs (TD) were investigated. The research design used was a Completely Randomised Design (CRD). All treatments were prepared in triplicate at a ratio of 100:0; 70:30 and 50:50, respectively. All individual anaerobic co-digestion tests of FVW with CM and TD were carried out at the organic loading rate (OLR) of 3 kg VS/m3/day. The effects of different feedstock ratio on stability and performance indicators were further evaluated. The biomass characterisation analyses showed that FVW, MA, CM and TD samples have a high amount of carbohydrates, proteins, and fats, indicating their suitability as feedstock for biogas production. All tested samples have pH value within the ideal range of 6.8-8.0, indicating that there was no pH inhibition during the digestion process. Increasing co-digestion feed ratio of FVW: CM (70:30) or FVW: TD (70:30) was found to reduce biogas or methane potential. The theoretical estimation of electrical potential from co-digestion of FVW indicated that changing the feed to a ratio of 50:50, produced higher energy generation. This finding confirmed that co-digestion could be an option to enhance biogas and methane yield due to additional nutrient supply from the co-substrates.
Potential valorisation of agro-industrial wastewater for bioenergy production
Authors: Permatasari V R , Hidayat N , Suhartini S 
Published: May 2021

AbstractAgro-industries generate a high amount of solid waste, wastewater and emissions. In Indonesia’s case, many small and medium-scale agro-industries have problems in treating or in valorising their wastes. Specific to wastewater, due to lack of waste treatment facilities or financial support, as well as lack of policies enforcement, many agro-industries directly disposed of the wastewater to the river bodies. Such practices can have a detrimental effect on the environment due to the accumulation of both organic and an-organic pollutants. This study aimed to investigate the potential of various agro-industrial wastewater (i.e. batik wastewater, tofu-processing wastewater and tempeh-processing wastewater) from Malang City as single feedstock for biogas production. The biochemical methane potential (BMP) test was employed under a mesophilic condition and operated for 28 days. The results indicated that anaerobic digestion (AD) of tempeh-processing wastewater produced more biogas and methane potential compared to other wastewater samples. The specific methane potential (SMP) from the AD of tempeh-processing wastewater was 0.027 m3/kgVSadded. However, the energy potential calculation indicated that using these wastewater samples was not feasible as a single feedstock for an anaerobic digestion system. Therefore, combining with other potential biomass feedstock as co-substrates is recommended for further in-depth investigation.
Global warming potential from maize cultivation as affected by organic and biochar coated urea fertilizer in rainfed lowland
Authors: Pramono A , Adriany T A , Susilawati H L , Sutriadi M T 
Published: May 2021

Abstract
Biochar is a pyrolysis product used for soil amendments and could be applied as organic fertilizer and biochar coated urea. Biochar increased organic matter stability and mitigate climate change by carbon sequestration and reduce N2O emission. This study aimed to study the effect of biochar coated urea (BCU) fertilizer on global warming potential (GWP) and the economic feasibility of maize cultivation in the rainfed lowland area. The study was carried out at the Indonesian Agricultural Environment Research Institute (IAERI) Pati, Central Java, from July to October 2017. Six treatments were used as follows, 1) FYM + Phonska + Ureaprill, 2) FYM + Phonska + BCU, 3) Biocompost + Phonska + Ureaprill, 4) Biocompost + Phonska + BCU, 5) sludge + Phonska + Ureaprill, and 6) sludge + Phonska + BCU. All of the treatments were given 3 tons/ha of organic fertilizer and inorganic fertilizer at the same rate. Gas sampling was performed using a closed chamber method. The results showed that BCU application combined organic fertilizer could reduce GWP (CO2-e) by 12.5% compared to the urea prill application. The highest GWP was determined by the application of Sludge + Phonska + Urea prill by 8.9 ton CO2-e per ha. The highest maize grain yield was Biocompost + Phonska + BCU application by 7.29 tons per ha. Biochar application in agricultural ecosystems is a potential option to mitigate climate change and supporting food availability.
Unveiling the impact of the bias-dependent charge neutrality point on graphene based multi-transistor applications
Authors: Pasadas Francisco , Medina-Rull Alberto , Feijoo Pedro Carlos , Pacheco-Sanchez Anibal , Marin Enrique G. , Ruiz Francisco G. , Rodriguez Noel , Godoy Andrés , Jiménez David 
Published: May 2021

Abstract
The Dirac voltage of a graphene field-effect transistor (GFET) stands for the gate bias that sets the charge neutrality condition in the channel, thus resulting in a minimum conductivity. Controlling its dependence on the terminal biases is crucial for the design and optimization of radio-frequency applications based on multiple GFETs. However, the previous analysis of such dependence carried out for single devices is uncomplete and if not properly understood could result in circuit designs with poor performance. The control of the Dirac point shift (DPS) is particularly important for the deployment of graphene-based differential circuit topologies where keeping a strict symmetry between the electrically balanced branches is essential for exploiting the advantages of such topologies. This note sheds light on the impact of terminal biases on the DPS in a real device and sets a rigorous methodology to control it so to eventually optimize and exploit the performance of radio-frequency applications based on GFETs.
Failure modes and effects analysis to improve transitions of care in patients discharged on outpatient parenteral antimicrobial therapy
Authors: Sadler Eleanor D , Avdic Edina , Cosgrove Sara E , Hohl Dawn , Grimes Michael , Swarthout Meghan , Dzintars Kathryn , Lippincott Christopher K , Keller Sara C 
Published: May 2021

Abstract

Purpose
To identify barriers to safe and effective completion of outpatient parenteral antimicrobial therapy (OPAT) in patients discharged from an academic medical center and to develop targeted solutions to potentially resolve or improve the identified barriers.

Summary
A failure modes and effects analysis (FMEA) was conducted by a multidisciplinary OPAT task force to evaluate the processes for patients discharged on OPAT to 2 postdischarge dispositions: (1) home and (2) skilled nursing facility (SNF). The task force created 2 process maps and identified potential failure modes, or barriers, to the successful completion of each step. Thirteen and 10 barriers were identified in the home and SNF process maps, respectively. Task force members created 5 subgroups, each developing solutions for a group of related barriers. The 5 areas of focus included (1) the OPAT electronic order set, (2) critical tasks to be performed before patient discharge, (3) patient education, (4) patient follow-up and laboratory monitoring, and (5) SNF communication. Interventions involved working with information technology to update the electronic order set, bridging communication and ensuring completion of critical tasks by creating an inpatient electronic discharge checklist, developing patient education resources, planning a central OPAT outpatient database within the electronic medical record, and creating a pharmacist on-call pager for SNFs.

Conclusion
The FMEA approach was helpful in identifying perceived barriers to successful transitions of care in patients discharged on OPAT and in developing targeted interventions. Healthcare organizations may reproduce this strategy when completing quality improvement planning for this high-risk process.
REM Sleep Behavior Disorder in Parkinson’s Disease: Change in Cognitive, Psychiatric, and Functional Outcomes from Baseline to 16–47-Month Follow-Up
Authors: Van Patten Ryan , Mahmood Zanjbeel , Pickell Delaney , Maye Jacqueline E , Roesch Scott , Twamley Elizabeth W , Filoteo J Vincent , Schiehser Dawn M 
Published: May 2021

Abstract

Objective
Rapid Eye Movement Sleep Behavior Disorder (RBD) is common in Parkinson’s Disease (PD) and is associated with cognitive impairment; however, the majority of the evidence on the impact of RBD on multidomain cognitive batteries in PD is cross-sectional. This study evaluated the longitudinal impact of probable RBD (pRBD) on cognitive, psychiatric, and functional outcomes in people with PD.

Method
Case–control study. A total of 65 people with PD completed the study protocol at baseline and 16-to-47-month follow-up. Participants were classified as pRBD+ (n = 25) or pRBD− (n = 40) based on an established cutoff of 6 on the RBD Sleep Questionnaire (RBDSQ). Participants also completed a) comprehensive cognitive testing, b) self-report measures of depression, anxiety, and apathy, and c) performance-based and other-report forms of instrumental activities of daily living.

Results
Baseline mean age was 67.8 (SD = 8.1; range = 45–86) and baseline mean years of education was 16.4 (SD = 2.1; range = 12–20). The two groups did not differ on measured demographic characteristics. Baseline mean T-scores for cognitive tests were in the average range (46–55). Hierarchical linear models tested group differences in cognitive and functional decline from baseline to follow-up, controlling for appropriate demographic and psychiatric variables. Compared to the pRBD− group, pRBD+ participants showed greater decline in attention/working memory (r = −0.31; p = 0.01) and UPSA financial skills (r = −0.31; p = 0.01). No other group differences approached significance.

Conclusions
RBD may differentially affect attention/working memory and financial abilities in PD. Results underscore the importance of regular RBD screening in older adults with PD in order to triage symptomatic patients to appropriate cognitive and medical interventions.
Deformation of Needle Tips During Facial Soft Tissue Filler Injections: An Electron-Microscopic Study
Authors: Pineiro Mildred Lopez , Green Jeremy B , Kaufman Joely , Blackwelder Patricia L , Freytag David L , Frank Konstantin , Alfertshofer Michael , Cotofana Sebastian 
Published: May 2021

Abstract

Background
Injectable soft tissue fillers are used on a global scale for a variety of aesthetic indications. Despite their widespread use, there is a dearth of information regarding needle deformation following injection procedures. Repeated injections with the same needle could lead to progressive needle tip deformation, potentially resulting in decreased precision and increased patient discomfort.

Objectives
The objective of this study was to quantify the magnitude of needle tip deformation utilizing scanning electron microscopy (SEM) image analysis.

Methods
An observational study was performed evaluating 4 differently sized needles following soft tissue filler injections for 5 different aesthetic indications (zygomatic arch, infraorbital, midcheek, nasolabial sulcus, and perioral) in patients aged 36 to 64 years. Following treatment, each needle was visualized and imaged through SEM, and the percentage of deformation in relation to the total amount of needle tip surface was calculated.

Results
The factor most influencing needle tip damage was revealed to be the number of injection passes, ie, dermal transitions. Per injection procedure, an increase in needle tip damage of 4.7% occurred. Touching the bone deformed the needle tip by 9.6% and an increase in needle size resulted in 0.13% more damage.

Conclusions
To the authors’ knowledge, this is the first SEM investigation to provide objective evidence for the deformation of needle tips after repeated facial soft tissue filler injections. These data may help improve patient safety and comfort during these minimally invasive procedures.

Level of Evidence: 3
Nonmalignant CD30+ Cells in Contralateral Peri-Implant Capsule of Patient With BIA-ALCL: A Premalignant Step?
Authors: Kadin Marshall E , Xu Haiying , Hunsicker Lisa M , Guan Yingjie 
Published: May 2021

AbstractCD30 lymphocyte activation antigen and phosphorylated STAT3 (pSTAT3) are consistent markers of tumor cells in breast implant–associated anaplastic large cell lymphoma (BIA-ALCL). We present a case of BIA-ALCL in a breast implant capsule containing clustered tumor cells expressing CD30, pSTAT3, pSTAT6, interleukin 9, and granzyme B tumor cell biomarkers. Remarkably, the contralateral breast contained many scattered large, atypical CD30+ cells surrounded by inflammatory cells, raising a suspicion of bilateral BIA-ALCL, known to occur in some patients. To clarify the diagnosis, immunohistochemistry and multilabel immunofluorescence were performed. Unlike the tumor cells, the atypical CD30+ cells of the contralateral breast lacked pSTAT3, pSTAT6, interleukin 9, and granzyme B, eliminating a diagnosis of bilateral BIA-ALCL. This case highlights the importance of interpreting CD30 staining in the context of other tumor cell biomarkers and histopathology to avoid an incorrect diagnosis of BIA-ALCL. We believe the findings also suggest the possibility of CD30 expression as an early event in the multistep pathogenesis of BIA-ALCL.Level of Evidence: 5
Influence of carbon source on wood decay-associated gene expression in sequential hyphal zones of the brown rot fungusGloeophyllum trabeum
Authors: Umezawa Kiwamu , Itakura Shuji 
Published: May 2021

ABSTRACTBrown rot fungi show a two-step wood degradation mechanism comprising oxidative radical-based and enzymatic saccharification systems. Recent studies have demonstrated that the brown rot fungus Rhodonia placenta expresses oxidoreductase genes ahead of glycoside hydrolase genes and spatially protects the saccharification enzymes from oxidative damage of the oxidoreductase reactions. This study aimed to assess the generality of the spatial gene regulation of these genes in other brown rot fungi and examine the effects of carbon source on the gene regulation. Gene expression analysis was performed on 14 oxidoreductase and glycoside hydrolase genes in the brown rot fungus Gloeophyllum trabeum, directionally grown on wood, sawdust-agar, and glucose-agar wafers. In G. trabeum, both oxidoreductase and glycoside hydrolase genes were expressed at higher levels in sections behind the wafers. The upregulation of glycoside hydrolase genes was significantly higher in woody substrates than in glucose, whereas the oxidoreductase gene expression was not affected by substrates.
SKSV: ultrafast structural variation detection from circular consensus sequencing reads
Authors: Liu Yadong , Jiang Tao , Su Junhao , Liu Bo , Zang Tianyi , Wang Yadong 
Published: May 2021

Abstract

Summary
Circular consensus sequencing reads are promising for the comprehensive detection of structural variants (SVs). However, alignment-based SV calling pipelines are computationally intensive due to the generation of complete read-alignments and its post-processing. Herein, we propose a SKeleton-based analysis toolkit for Structural Variation detection (SKSV). Benchmarks on real and simulated datasets demonstrate that SKSV has an order of magnitude of faster speed than state-of-the-art SV calling approaches; moreover, it achieves higher F1 scores for various types of SVs.

Availability and implementation
SKSV is available from https://github.com/ydLiu-HIT/SKSV.

Supplementary information
Supplementary data are available at Bioinformatics online.
The International Vertebrate Pet Trade Network and Insights from US Imports of Exotic Pets
Authors: Sinclair James S , Stringham Oliver C , Udell Bradley , Mandrak Nicholas E , Leung Brian , Romagosa Christina M , Lockwood Julie L 
Published: May 2021

AbstractThe international trade in exotic vertebrate pets provides key social and economic benefits but also drives associated ecological, ethical, and human health impacts. However, despite its clear importance, we currently lack a full understanding of the structure of the pet trade, hampering efforts to optimize its benefits while mitigating its negative effects. In the present article, we represent and review the structure of the pet trade as a network composed of different market actors (nodes) and trade flows (links). We identify key data gaps in this network that, if filled, would enable network analyses to pinpoint targets for management. As a case study of how data-informed networks can realize this goal, we quantified spatial and temporal patterns in pets imported to the United States. Our framework and case study illustrate how network approaches can help to inform and manage the effects of the growing demand for exotic pets.
covid19census: U.S. and Italy COVID-19 metrics and other epidemiological data
Authors: Zanettini Claudio , Omar Mohamed , Dinalankara Wikum , Imada Eddie Luidy , Colantuoni Elizabeth , Parmigiani Giovanni , Marchionni Luigi 
Published: May 2021

AbstractSince the beginning of the coronavirus disease-2019 (COVID-19) pandemic in 2020, there has been a tremendous accumulation of data capturing different statistics including the number of tests, confirmed cases and deaths. This data wealth offers a great opportunity for researchers to model the effect of certain variables on COVID-19 morbidity and mortality and to get a better understanding of the disease at the epidemiological level. However, in order to draw any reliable and unbiased estimate, models also need to take into account other variables and metrics available from a plurality of official and unofficial heterogenous resources. In this study, we introduce covid19census, an R package that extracts from many different repositories and combines together COVID-19 metrics and other demographic, environment- and health-related variables of the USA and Italy at the county and regional levels, respectively. The package is equipped with a number of user-friendly functions that dynamically extract the data over different timepoints and contains a detailed description of the included variables. To demonstrate the utility of this tool, we used it to extract and combine different county-level data from the USA, which we subsequently used to model the effect of diabetes on COVID-19 mortality at the county level, taking into account other variables that may influence such effects. In conclusion, it was observed that the ‘covid19census’ package allows to easily extract area-level data from both the USA and Italy using few functions. These comprehensive data can be used to provide reliable estimates of the effect of certain variables on COVID-19 outcomes.Database URL: https://github.com/c1au6i0/covid19census