bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Pre-Feasibility Study to the Establishment of Biomedical Waste Incinerator in Indonesia
Authors: Nurendra Novias , Aji Sentosa G. , Wibawa Eri Dwi , Rahman Ihsan Aulia , Putri Annisa Dewanti 
Published: January 2023

Abstract
As biomedical waste is one of the general problems in Indonesia which are especially concerned in this pandemic situation. Incinerator, as one of the tool strategies to the Renewable energy issue will be one of the solutions to the medical waste management system nowadays which uses an energy conversion from the thermal heat. Therefore, before the further establishment of the biomedical waste incinerator, a preliminary Feasibility Study to the region and condition should be done as the first step to strengthen the objective of the implementation. The aspect to the market, technology, regulation, infrastructure, and financial aspect will be discussed and will be executively summarized. As Indonesia nowadays has a total of 2900 Hospital, 9900 Health centre, 7700 clinic with a total of 294.66 tons of medical waste produced within a day. During the pandemic it is estimated that the amount of medical waste will increase by at least 30% which is a big challenge for Indonesia.
Corrosion inhibition of mild steel bars by biosurfactant produced by Penicillium citrinum
Authors: Olivia R , Ang CH , Clotilda P , Caroline M , Rudy T , Joe N 
Published: January 2023

Abstract
Corrosion is a major challenge in the construction technology and manufacturing industries. Not only does corrosion reduce the aesthetics of a building, but it also reduces the durability of the structure. Various efforts and research are being carried out globally to overcome this problem, ranging from prevention to maintenance processes. Due to the increased awareness of the importance of preserving the environment for health and ecological systems, studies are increasingly focused on the use of environmentally friendly corrosion inhibitors. This study focuses on the effect of different concentrations of biosurfactant produced by Penicillium Citrinum on mild steel bar corrosion. The biosurfactant was produced from indigenous fungi isolated from the municipal dumpsite and uses waste frying oil (WFO) as the sole carbon source. Weight loss experiment (gravimetric) was carried out to analyse the corrosion inhibition rate and efficiency of the biosurfactant produced. The steel bars were conditioned by immersion in the 0.9% NaCl containing biosurfactant at different concentrations (v/v) of 5%, 7.5%, and 10% for 14 days, 28 days, and 100 days. The weight loss of the coated bars was compared to those of the control samples and the non-organic surfactant, Tween 80. The discovery demonstrates that corrosion inhibition increases as biosurfactant content increases. The results show that biosurfactants secreted by an indigenous soil fungus, Penicillium citrinum have the potential as green corrosion inhibitors in mild steel bars.
A Review on The Compressive Strength and Workability of Concrete with Agricultural Waste Ash as Cement Replacement Material
Authors: Razeman Nurul Aqilah , Itam Zarina , Beddu Salmia , Izam Najwa Syahirah Mohamed Nor , Ramli Mohd Zakwan , Syamsir Agusril , Mohamad Daud , Kamal Nur Liyana Mohd , Usman Fathoni , Asyraf M. R. M. 
Published: January 2023

Abstract
Concrete is commonly used as a construction material because of the important properties is broadly utilized as development materials within the development segment. Unfortunately, the component of cement within the concrete results in many side-effects such as affecting the environment. Therefore, this paper presented the review of essential to seek out an alternative materials which may be utilized as cement replacement materials by reutilizing agricultural waste ash. Selected agricultural waste ash which are Palm Oil Fuel Ash (POFA), Rice Husk Ash (RHA), Groundnut Shell Ash (GSA), Sugarcane Bagasse Ash (SBA) and Oyster Shell Powder (OSP) were review in terms of their compressive strength and slump height of the mixture. The treated palm oil ash which is going to be used as partial cement replacement material for the proper design mix and optimal ash replacement. The replacement percentage of palm ash in the concrete were set at 10%, 20%, and 30% by weight with the optimal replacement ratio of the supplementary cementitious content. Palm Oil Fuel Ash (POFA) is a material that having sufficient requirements to be a good pozzolana and cementitious material according to ASTMC618 in terms of chemical composition. POFA is a material that consists high silica contents. By having more silica contents, it will help to improve the properties, in particular its compressive strength, bond strength, and abrasion resistance. After conducting several research, it was concluded that the optimal replacement for POFA is 20% and it is better to have finer POFA. POFA also proved some of the important properties is the CO2 emissions would be reduce.
Waste Segregation through Recycle and Composting Activities in Urban and Suburban Areas
Authors: Kasmuri N , Razak S N A , Yaacob Z , Miskon M F , Ramli N H , Zaini N 
Published: January 2023

Abstract
The number of wastes generated in Malaysia is increasing every year. Eighty per cent of solid waste in landfills comes from recycled material, and food waste production has risen to around 15 000 tons per day. Recyclable waste and food waste are the highest waste produced in landfills. Recycling and food composting are two solutions that can reduce waste and slow down the rate of garbage received at the landfill. This research aims to determine the knowledge and awareness of waste segregation through recycling and composting. This paper also identifies the constraint of respondents on performing waste segregation. Here, an online questionnaire has been distributed to the community in urban and suburban areas in Selangor and Johor. A total of 125 respondents participated in this study. Analysis from the survey found no significant difference in the knowledge of waste segregation through recycling and composting between urban and suburban areas. It can be denoted that the respondents have a basic understanding of awareness on waste segregation, although only a few have not practised recycling due to several highlighted constraints. Therefore, some recommendation has been emphasized based on this finding, such as installing reverse vending machines (RVM), organizing campaigns, and providing more information on waste segregation. These suggestions have been the top choices to encourage waste segregation in the community. Moreover, further study needs to be extended to the household group in other states and assessing the effectiveness of RVM will elucidate the segregation behaviours among the community.
Influence of silicon-dioxide nanoparticles in cementitious mortars: verification using x-ray diffraction, thermal analysis, physical, and mechanical tests
Authors: Andrade F K G , Pires T A C , Silva J J R 
Published: January 2023

Abstract
In recent years, nanotechnology has been applied to building materials, such as cementitious composites (e.g., mortar and concrete), to improve their properties. The aim of this study was to analyze the thermal, physical, and mechanical properties of mortars with and without silicon-dioxide (SiO2) nanoparticles. Experiments such as thermogravimetry and differential thermal analysis (TG-DTA), x-ray diffraction (XRD), fresh density, incorporated-air content, bulk density, capillary absorption, capillarity coefficient, flexural tensile strength, and compressive strength on prismatic specimens were performed on mortars and analyzed for different levels of nanosilica (nS). These levels were 1% and 3%, in addition to the reference mortar (0% nS). The TG-DTA curves showed an elevated content of chemically combined water and a lower content of calcium hydroxide (Ca(OH)2) in the 3% nS compositions, while the XRD curves presented a lower content of calcite and portlandite in the same mortar. These results indicate the fixation capacity of lime for the formation of calcium silicate hydrate (C-S-H), which is the primary cause of resistance in cementitious mortars. In addition, it was found that the use of nanosilica contributed to a fresh density increase of approximately 15%, which caused a minimum air-incorporated content decrease of 37% and a minimum bulk density increase of 10%. Higher densities resulted in a minimum water absorption reduction of 36%, owing to fewer pores in the mortars. Therefore, the capillarity coefficient decreased by a minimum of 41%. These nanoparticles also improved the minimum flexural tensile and compressive strengths by 88% and 158%, respectively, when using a 3% nS composition. These results can enable the use of lightweight aggregates in cementitious composites, improving their physical and mechanical characteristics and allowing greater reuse of these materials, including construction waste.
A roadmap to achieve the global methane pledge
Authors: Malley Christopher S , Borgford-Parnell Nathan , Haeussling Seraphine , Howard Ioli C , Lefèvre Elsa N , Kuylenstierna Johan C I 
Published: January 2023

Abstract
The Global Methane Pledge (GMP), launched in 2021 and signed by 149 countries and the European Union, aims to reduce global anthropogenic methane emissions by 30% in 2030 compared to 2020 levels. However, the GMP does not specify the contribution of countries or methane-emitting sectors (fossil fuel production, agriculture and waste) to achieve this global goal. Nationally determined contributions (NDCs) describe countries’ climate change commitments, and 86% of countries include methane within the scope of these targets. This paper aims to assess whether a roadmap (i.e. a set of mitigation actions) to achieve the GMP can be developed from those methane-targeted mitigation actions included within NDCs. The 476 methane-focussed mitigation actions within the 168 NDCs analysed are targeted in countries and sectors emitting approximately 40% of global methane. These mitigation actions are not specified in NDCs with implementation targets and timelines that are currently collectively sufficient to achieve the GMP goal. However, if all 476 mitigation actions are implemented to their maximum technical mitigation potential, their implementation could reduce global emissions by ∼31%. Therefore, mitigation actions in NDCs could achieve the GMP goal, but only if implemented to their fullest possible extent. There are also multiple opportunities to increase methane mitigation ambition further. Additional commitments to implement technical methane mitigation measures could lead to mitigation in excess of the GMP goal. Behavioural measures, such as dietary shifts and reduction in waste generation could further reduce methane, and are included in few NDCs currently.
A review on longitudinal data analysis with random forest
Authors: Hu Jianchang , Szymczak Silke 
Published: January 2023

AbstractIn longitudinal studies variables are measured repeatedly over time, leading to clustered and correlated observations. If the goal of the study is to develop prediction models, machine learning approaches such as the powerful random forest (RF) are often promising alternatives to standard statistical methods, especially in the context of high-dimensional data. In this paper, we review extensions of the standard RF method for the purpose of longitudinal data analysis. Extension methods are categorized according to the data structures for which they are designed. We consider both univariate and multivariate response longitudinal data and further categorize the repeated measurements according to whether the time effect is relevant. Even though most extensions are proposed for low-dimensional data, some can be applied to high-dimensional data. Information of available software implementations of the reviewed extensions is also given. We conclude with discussions on the limitations of our review and some future research directions.
AWOT and CWOT for genotype and genotype-by-treatment interaction joint analysis in pharmacogenetics GWAS
Authors: Zhang Hong , Mehrotra Devan V , Shen Judong 
Published: January 2023

Abstract

Motivation
Pharmacogenomics (PGx) research holds the promise for detecting association between genetic variants and drug responses in randomized clinical trials, but it is limited by small populations and thus has low power to detect signals. It is critical to increase the power of PGx genome-wide association studies (GWAS) with small sample sizes so that variant–drug-response association discoveries are not limited to common variants with extremely large effect.

Results
In this article, we first discuss the challenges of PGx GWAS studies and then propose the adaptively weighted joint test (AWOT) and Cauchy Weighted jOint Test (CWOT), which are two flexible and robust joint tests of the single nucleotide polymorphism main effect and genotype-by-treatment interaction effect for continuous and binary endpoints. Two analytic procedures are proposed to accurately calculate the joint test P-value. We evaluate AWOT and CWOT through extensive simulations under various scenarios. The results show that the proposed AWOT and CWOT control type I error well and outperform existing methods in detecting the most interesting signal patterns in PGx settings (i.e. with strong genotype-by-treatment interaction effects, but weak genotype main effects). We demonstrate the value of AWOT and CWOT by applying them to the PGx GWAS from the Bezlotoxumab Clostridium difficile MODIFY I/II Phase 3 trials.

Availability and implementation
The R package COWT is publicly available on CRAN https://cran.r-project.org/web/packages/cwot/index.html.

Supplementary information
Supplementary data are available at Bioinformatics online.
Hierarchical modelling of microbial communities
Authors: Glöckler Manuel , Dräger Andreas , Mostolizadeh Reihaneh 
Published: January 2023

Abstract

Summary
The human body harbours a plethora of microbes that play a fundamental role in the well-being of the host. Still, the contribution of many microorganisms to human health remains undiscovered. To understand the composition of their communities, the accurate genome-scale metabolic network models of participating microorganisms are integrated to construct a community that mimics the normal bacterial flora of humans. So far, tools for modelling the communities have transformed the community into various optimization problems and model compositions. Therefore, any knockout or modification of each submodel (each species) necessitates the up-to-date creation of the community to incorporate rebuildings. To solve this complexity, we refer to the context of SBML in a hierarchical model composition, wherein each species’s genome-scale metabolic model is imported as a submodel in another model. Hence, the community is a model composed of submodels defined in separate files. We combine all these files upon parsing to a so-called ‘flattened’ model, i.e., a comprehensive and valid SBML file of the entire community that COBRApy can parse for further processing. The hierarchical model facilitates the analysis of the whole community irrespective of any changes in the individual submodels.

Availability and implementation
The module is freely available at https://github.com/manuelgloeckler/ncmw.
NGSNGS: next-generation simulator for next-generation sequencing data
Authors: Henriksen Rasmus Amund , Zhao Lei , Korneliussen Thorfinn Sand 
Published: January 2023

AbstractSummaryWith the rapid expansion of the capabilities of the DNA sequencers throughout the different sequencing generations, the quantity of generated data has likewise increased. This evolution has also led to new bioinformatical methods, for which in silico data have become crucial when verifying the accuracy of a model or the robustness of a genomic analysis pipeline. Here, we present a multithreaded next-generation simulator for next-generation sequencing data (NGSNGS), which simulates reads faster than currently available methods and programs. NGSNGS can simulate reads with platform-specific characteristics based on nucleotide quality score profiles as well as including a post-mortem damage model which is relevant for simulating ancient DNA. The simulated sequences are sampled (with replacement) from a reference DNA genome, which can represent a haploid genome, polyploid assemblies or even population haplotypes and allows the user to simulate known variable sites directly. The program is implemented in a multithreading framework and is factors faster than currently available tools while extending their feature set and possible output formats.Availability and implementationThe method and associated programs are released as open-source software, code and user manual are available at https://github.com/RAHenriksen/NGSNGS.Supplementary informationSupplementary data are available at Bioinformatics online.
The influence ofTorulaspora delbrueckiion beer fermentation
Authors: Kayadelen Firuze , Agirman Bilal , Jolly Neil P , Erten Huseyin 
Published: January 2023

AbstractIn this study, the effect of five different Torulaspora delbrueckii strains in combination with an ale type Saccharomyces cerevisiae on physical, chemical, microbiological, aroma composition, and sensory profiles of beer were examined. The ethyl alcohol content of produced beers ranged from 5.46% (v/v) to 5.93% (v/v), while the highest alcohol amount was obtained using a pure culture of S. cerevisiae. The major volatiles among beer aroma compounds was acetaldehyde, n-propanol, 3-methyl-butanol, 2-methyl-butanol, ethyl acetate, isoamyl acetate, 2,3-butanedione, and 2,3-pentanedione. It was ascertained that the total amount of higher alcohols was higher in the S. cerevisiae control beer compared to all mixed fermentations. Total ester levels were higher in all the mixed culture beers than the control beer. Sensory evaluation showed that all the mixed cultures of S. cerevisiae and T. delbrueckii positively influenced the sensory profile of the beers. Strain Y1031 was the most preferred and was characterized as rich in hop aroma and full bodied. It is therefore a suitable strategy to use T. delbrueckii in mixed fermentations with S. cerevisiae to produce beer with a distinctive flavor. The results demonstrate that, T. delbrueckii strains isolated or commercialized for winemaking can be equally employed as well in brewing.
Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial
Authors: Wang Pu , Liu Xiao-Gang , Kang Min , Peng Xue , Shu Mei-Ling , Zhou Guan-Yu , Liu Pei-Xi , Xiong Fei , Deng Ming-Ming , Xia Hong-Fen , Li Jian-Jun , Long Xiao-Qi , Song Yan , Li Liang-Ping 
Published: January 2023

Abstract

Background
In colonoscopy screening for colorectal cancer, human vision limitations may lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been demonstrated to improve polyp detection. However, there still lacks direct evidence to demonstrate whether AI is superior to trainees or experienced nurses as a second observer to increase adenoma detection during colonoscopy. In this study, we aimed to compare the effectiveness of assistance from AI and human observer during colonoscopy.

Methods
A prospective multicenter randomized study was conducted from 2 September 2019 to 29 May 2020 at four endoscopy centers in China. Eligible patients were randomized to either computer-aided detection (CADe)-assisted group or observer-assisted group. The primary outcome was adenoma per colonoscopy (APC). Secondary outcomes included polyp per colonoscopy (PPC), adenoma detection rate (ADR), and polyp detection rate (PDR). We compared continuous variables and categorical variables by using R studio (version 3.4.4).

Results
A total of 1,261 (636 in the CADe-assisted group and 625 in the observer-assisted group) eligible patients were analysed. APC (0.42 vs 0.35, P = 0.034), PPC (1.13 vs 0.81, P &lt; 0.001), PDR (47.5% vs 37.4%, P &lt; 0.001), ADR (25.8% vs 24.0%, P = 0.464), the number of detected sessile polyps (683 vs 464, P &lt; 0.001), and sessile adenomas (244 vs 182, P = 0.005) were significantly higher in the CADe-assisted group than in the observer-assisted group. False detections of the CADe system were lower than those of the human observer (122 vs 191, P &lt; 0.001).

Conclusions
Compared with the human observer, the CADe system may improve the clinical outcome of colonoscopy and reduce disturbance to routine practice (Chictr.org.cn No.: ChiCTR1900025235).
Association of Subjective and Objective Measures of Sleep With Gut Microbiota Composition and Diversity in Older Men: The Osteoporotic Fractures in Men Study
Authors: Estaki Mehrbod , Langsetmo Lisa , Shardell Michelle , Mischel Anna , Jiang Lingjing , Zhong Yuan , Kaufmann Christopher , Knight Rob , Stone Katie , Kado Deborah 
Published: January 2023

Abstract

Background
Growing evidence suggests bidirectional links between gut microbiota and sleep quality as shared contributors to health. Little is known about the relationship between microbiota and sleep among older persons.

Methods
We used 16S rRNA sequencing to characterize stool microbiota among men (n = 606, mean [standard deviation] age = 83.9 [3.8]) enrolled in the Osteoporotic Fractures in Men (MrOS) study from 2014 to 2016. Sleep was assessed concurrently by a questionnaire (Pittsburgh Sleep Quality index [PSQI]), and activity monitor to examine timing (acrophase) and regularity of patterns (F-statistic). Alpha diversity was measured using Faith’s phylogenetic diversity (PD). Beta diversity was calculated with robust Aitchison distance with matrix completion (RPCA) and phylogenetic-RPCA (PRPCA). Their association with sleep variables was tested with partial distance-based redundancy analysis (dbRDA). Predictive-ratio biomarkers associated with sleep measurements were identified with CoDaCoRe.

Results
In unadjusted analyses, men with poor sleep (PSQI &gt;5) tended to have lower alpha diversity compared to men with normal sleep (Faith’s PD, beta = −0.15; 95% confidence interval [CI]: −0.30 to 0.01, p = .06). Sleep regularity was significantly associated with RPCA and PRPCA, even after adjusting for site, batch, age, ethnicity, body mass index, diabetes, antidepressant and sleep medication use, and health behaviors (RPCA/PRPCA dbRDA; p = .033/.002). In taxonomic analysis, ratios of 7:6 bacteria for better regularity (p = .0004) and 4:7 for worse self-reported sleep (p = .005) were differentially abundant: some butyrate-producing bacteria were associated with better sleep characteristics.

Conclusions
Subjective and objective indicators of sleep quality suggest that older men with better sleep patterns are more likely to harbor butyrate-producing bacteria associated with better health.
Aorto-aortic bypass in an infant with middle aortic syndrome and Marfan syndrome: a 15-year follow-up
Authors: Heck Roland , Fischer-Zirnsak Björn , Photiadis Joachim , Horn Denise , Gehle Petra 
Published: January 2023

AbstractWe present a 15-year follow-up after aorto-aortic bypass surgery in a 7-month-old infant with middle aortic syndrome and confirmed Marfan syndrome. In anticipation of her growth, the length of the graft was adjusted to the anticipated length of the narrowed aorta in her adolescence. In addition, her height was controlled by oestrogen, and her growth was stopped at 178 cm. To date, the patient is free from aortic reoperation and lower limb malperfusion.