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Thermochemical co-conversion of biomass-plastic waste to biochar:a review

Green Chemical Engineering 2024年第1期5卷 31-49页

作者： Adewale George adeniyi Kingsley O.Iwuozor Ebuka Chizitere Emenike Oluwaseun J.Ajala Samuel Ogunniyi Kabir B.Muritala Department of Chemical Engineering Faculty of Engineering and TechnologyUniversity of IlorinIlorinP.M.B.1515Nigeria Department of Chemical Engineering Landmark UniversityOmu-AranKwara StateP.M.B.1001Nigeria Department of Pure and Industrial Chemistry Nnamdi Azikiwe UniversityAwkaP.M.B.5025Nigeria Department of Chemistry Federal University of TechnologyBosso CampusMinnaNiger StateP.M.B.65Nigeria

Biomass and plastics are two of the most common municipal solid wastes globally that have continuously placed a burden on the environment.It is therefore important that they are properly recycled.Thermochemical coconversion offers a valuable opportunity to recycle biomass and plastics simultaneously into biochar,which reduces the time and cost of recycling them individually while producing a material with a wide range of applications.This study is a review of published literature that discusses the thermochemical co-processing of biomass and plastic wastes into biochar.It was observed that co-pyrolysis and co-hydrothermal carbonization are the most commonly utilized technologies for this process.The characteristics of different biomass and plastics that have been thermochemically converted into biochar were compared.The properties of the resulting biochar are affected by the feedstock composition,pre-treatment and blending ratio,the reactor’s configuration,reaction temperature,and the presence of a catalyst.Most studies found that treating the feedstocks separately resulted in a lower yield of biochar than processing them together.The biochar created by this procedure has been used as a soil additive and as an adsorbent for water treatment.Future perspectives and suggestions,such as the necessity for some technical advancement,biochar’s economic benefits,improved government participation,and raised social awareness,were also made.These factors have the potential to propel this field of study to great horizons.

关键词： Biomass Co-pyrolysis Plastic Thermochemical process Valorization

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Capture Probe: a java tool for designing probes for capture Hi-C applications

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Zoological Research 2020年第1期41卷 94-96页

作者： Yun-Fei Ma adeniyi cadeola Yan-Bo Sun Hai-Bing Xie Ya-Ping Zhang State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic AnimalsKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory for Conservation and Utilization of Bio-resource and Key Laboratory for Animal Genetic Diversity and Evolution of High Education in Yunnan ProvinceYunnan UniversityKunmingYunnan 650091China

DEAR EDITOR,Many functional elements associated with traits and diseases are located in non-coding regions and act on distant target genes via chromatin looping and folding,making it difficult for scientists to reveal the genetic regulatory mechanisms.Capture Hi-C is a newly developed chromosome conformation capture technology based on hybridization capture between probes and target genomic regions.It can identify interactions among target loci and all other loci in a genome with low cost and high resolution.Here,we developed CaptureProbe,a user-friendly,graphical Java tool for the design of capture probes across a range of target sites or regions.Numerous parameters helped to achieve and optimize the designed probes.Design testing of CaptureProbe showed high efficiency in the design success ratio of target loci and probe specificity.Hence,this program will help scientists conduct genome spatial interaction research.

关键词： Capture EDIT Probe

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A Study of EM Algorithm as an Imputation Method: A Model-Based Simulation Study with Application to a Synthetic Compositional Data

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Open Journal of Modelling and Simulation 2024年第2期12卷 33-42页

作者： Yisa adeniyi Abolade Yichuan Zhao Department of Mathematics and Statistics Georgia State University Atlanta Georgia USA

Compositional data, such as relative information, is a crucial aspect of machine learning and other related fields. It is typically recorded as closed data or sums to a constant, like 100%. The statistical linear model is the most used technique for identifying hidden relationships between underlying random variables of interest. However, data quality is a significant challenge in machine learning, especially when missing data is present. The linear regression model is a commonly used statistical modeling technique used in various applications to find relationships between variables of interest. When estimating linear regression parameters which are useful for things like future prediction and partial effects analysis of independent variables, maximum likelihood estimation (MLE) is the method of choice. However, many datasets contain missing observations, which can lead to costly and time-consuming data recovery. To address this issue, the expectation-maximization (EM) algorithm has been suggested as a solution for situations including missing data. The EM algorithm repeatedly finds the best estimates of parameters in statistical models that depend on variables or data that have not been observed. This is called maximum likelihood or maximum a posteriori (MAP). Using the present estimate as input, the expectation (E) step constructs a log-likelihood function. Finding the parameters that maximize the anticipated log-likelihood, as determined in the E step, is the job of the maximization (M) phase. This study looked at how well the EM algorithm worked on a made-up compositional dataset with missing observations. It used both the robust least square version and ordinary least square regression techniques. The efficacy of the EM algorithm was compared with two alternative imputation techniques, k-Nearest Neighbor (k-NN) and mean imputation (), in terms of Aitchison distances and covariance.

关键词： Compositional Data Linear Regression Model Least Square Method Robust Least Square Method Synthetic Data Aitchison Distance Maximum Likelihood Estimation Expectation-Maximization Algorithm k-Nearest Neighbor and Mean imputation

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Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders?

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Frontiers of Engineering Management 2024年第1期11卷 50-61页

作者： Andrew EBEKOZIEN Clinton AIGBAVBOA Samuel adeniyi ADEKUNLE Mohamad Shaharudin SAMSURIJAN John ALIU Bernard Martins ARTHUR-AIDOO Godpower Chinyeru AMADI Department of Construction Management and Quantity Surveying University of JohannesburgJohannesburg 2006South Africa School of Social Sciences Universiti Sains MalaysiaGelugor11800 USM PenangMalaysia Department of Quantity Surveying Auchi PolytechnicAuchiNigeria Institute for Resilient Infrastructure Systems College of EngineeringUniversity of GeorgiaAthensGA 30602USA Department of Building Technology Faculty of Built EnvironmentAccra Technical UniversityAccraGhana Nigerian Institute of Management Port HarcourtNigeria

Studies have demonstrated that advanced technology,such as smart contract applications,can enhance both pre-and post-contract administration within the built environment sector.Smart contract technology,exemplifying blockchain technologies,has the potential to improve transparency,trust,and the security of data transactions within this sector.However,there is a dearth of academic literature concerning smart contract applications within the construction industries of developing countries,with a specific focus on Nigeria.Consequently,this study seeks to explore the relevance of smart contract technology and address the challenges impeding its adoption,offering strategies to mitigate the obstacles faced by smart contract applications.To investigate the stakeholders,this research conducted 14 virtual interview sessions to achieve data saturation.The interviewees encompassed project management practitioners,senior management personnel from construction companies,experts in construction dispute resolution,professionals in construction software,and representatives from government construction agencies.The data obtained from these interviews underwent thorough analysis employing a thematic approach.The study duly recognizes the significance of smart contract applications within the sector.Among the 12 identified barriers,issues such as identity theft and data leakage,communication and synchronization challenges,high computational expenses,lack of driving impetus,excessive electricity consumption,intricate implementation processes,absence of a universally applicable legal framework,and the lack of a localized legal framework were recurrent impediments affecting the adoption of smart contract applications within the sector.The study also delves into comprehensive measures to mitigate these barriers.In conclusion,this study critically evaluates the relevance of smart contract applications within the built environment,with a specific focus on promoting their usage.It may serve as a pioneering effort,especially within the con

关键词： built environment industry digitalization Nigeria smart contract technological revolution

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Detection of Partial and Extended Blockages: A Case Study of Edible Oil Pipeline System

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Journal of Minerals and Materials Characterization and Engineering 2024年第3期12卷 204-223页

作者： Babatunde Victor Omidiji Ayodele Abeeb Daniyan adeniyi Taiwo Kunle Michael Oluwasegun Department of Mechanical Engineering Obafemi Awolowo University Ile-Ife Nigeria Department of Materials Science and Engineering Obafemi Awolowo University Ile-Ife Nigeria Department of Mechanical Engineering First Technical University Ibadan Nigeria Department of Mechanical Engineering University of Manitoba Manitoba Canada

This work focuses on the development and implementation of a simulation-based approach for the detection of partial and extended blockages within an edible oil pipeline system. Blockages, whether partial or extended, pose a significant operational and safety risks. This study employs computational fluid dynamics (CFD) simulations to model the flow behaviour of edible oil through pipeline under varying conditions. It leverages advanced computational fluid dynamics (CFD) simulations to analyze pressure, velocity, and temperature variations along the pipeline. By simulating scenarios with different blockage characteristics, there is establishment of distinctive patterns indicative of partial and extended obstructions. Through extensive analysis of simulation data, sensing element, and monitoring system, processing signal input and response output, the system can accurately pinpoint the location and severity of blockages, providing crucial insights for timely intervention. The detection system represents a significant advancement in pipeline monitoring technology, offering a proactive and accurate approach to identify blockages and mitigate potential risks and ensure the uninterrupted flow of edible oil, thereby enabling timely intervention and maintenance.

关键词： Computational Fluid Dynamics (CFD) Simulations Pipeline Blockages

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OrthReg:a tool to predict cis-regulatory elements based on cross-species orthologous sequence conservation

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Zoological Research 2020年第4期41卷 471-475页

作者： Yun-Fei Ma Cui-Ping Huang Fang-Ru Lu Jin-Xiu Li Xu-Man Han adeniyi cadeola Yun Gao Jia-Kun Deng Hai-Bing Xie Ya-Ping Zhang State Key Laboratory of Genetic Resources and Evolution Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China University of Chinese Academy of Sciences Beijing100049China Center for Excellence in Animal Evolution and Genetics Chinese Academy of SciencesKunmingYunnan 650223China State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan Yunnan UniversityKunmingYunnan 650091China Key Laboratory for Animal Genetic Diversity and Evolution of High Education in Yunnan Province School of Life SciencesYunnan UniversityKunmingYunnan 650091China

DEAR EDITOR,Cis-regulatory elements play an important role in the development of traits and disease in organisms(Ma et al.,2020;Woolfe et al., 2005) and their annotation could facilitate genetic studies. The Encyclopedia of DNA Elements(ENCODE)(Davis et al., 2018) and Functional Annotation of Animal Genomes(FAANG)(FAANG Consortium et al., 2015)offer pioneering data on regulatory elements in several species. Currently, however, regulatory element annotation data remain limited for most organisms.

关键词： species. traits regulatory

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Genomic and transcriptomic analyses reveal selection of genes for puberty in Bama Xiang pigs

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Zoological Research 2018年第6期39卷 424-430页

作者： Yang Yang adeniyi C.Adeola Hai-Bing Xie Ya-Ping Zhang State Key Laboratory of Genetic Resources and Evolution Yunnan Laboratory of Molecular Biology of Domestic AnimalsKunming Institute of ZoologyChinese Academy of Sciences Kunming College of Life Science University of Chinese Academy of Sciences

The Bama Xiang pig （BMX） Chinese indigenous breed is a famous early-maturing with a two-end black coat To uncover the genetic basis of the BMX phenotype, we conducted comparative genomic analyses between BMX and East Asian wild boars and Laiwu pigs, respectively. Genes under positive selection were enriched in pathways associated with gonadal hormone and melanin synthesis, consistent with the phenotypic changes observed during development in BMX pigs. We also performed differentially expressed gene analysis based on RNA-seq data from pituitary tissues of BMX and Large White pigs. The CTTNBP2NL, FRS2, KANK4, and KATNAL1 genes were under selection and exhibited expressional changes in the pituitary tissue, which may affect BMX pig puberty. Our study demonstrated the positive selection of early maturity in the development of BMX pigs and advances our knowledge on the role of regulatory elements in puberty evolution in pigs.

关键词： Puberty Bama Xiang pig Pituitary Differentially expressed genes

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Associations of autozygosity with economic important traits in a cross of Eurasian pigs

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Journal of Genetics and Genomics 2023年第3期50卷 216-220页

作者： Lin Tao Li-Gang Wang adeniyi C.Adeola Long-Chao Zhang Lian-Wei Li Qing-Long Li Dao-Ji Cen Chen Yan Zhan-Shan Ma Li-Xian Wang Hai-Bing Xie Ya-Ping Zhang State Key Laboratory of Genetic Resources and Evolution&Yunnan Laboratory of Molecular Biology of Domestic Animals Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China Institute of Animal Science Chinese Academy of Agricultural SciencesBeijing 100193China Computational Biology and Medical Ecology Lab State Key Laboratory of Genetic Resources and EvolutionKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China State Key Laboratory for Conservation and Utilization of Bioresource in Yunnan School of Life ScienceYunnan UniversityKunmingYunnan 650091China

Inbreeding depression(ID)refers to the undesirable effects of inbreeding(mating of relatives)on fitness-associated phenotypes(Charlesworth and Willis,2009).ID on production,reproduction,and health traits is relevant to industrial profitability,making it important in animal management.Runs of homozygosity(ROH)is a good measure of inbreeding and autozygosity(the inheritance of two copies of an ancestral allele)(Alkuraya,2013).

关键词： Eurasian profit reproduction

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Artificial selection drives differential gene expression during pig domestication

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Journal of Genetics and Genomics 2019年第2期46卷 97-100页

作者： Yang Yang Chaorui Liu adeniyi C.Adeola Xierzhatijiang Sulaiman Hai-Bing Xie Ya-Ping Zhang State Key Laboratory of Genetic Resources and Evolution Yunnan Laboratory of Molecular Biology of Domestic Animals Kunming Institute of Zoology Chinese Academy of Sciences Kunming College of Life Science University of Chinese Academy of Sciences National Pilot School of Software Yunnan University College of Uighur Medicine Xinjiang Medical University

Domestication of livestock involves drastic phenotypic changes driven by strong artificial selection,such as tame behavior and coat color.These abundant phenotypic variations established during animal domestication ha... 详细信息

关键词： ASE FST ADP SLC CWB PPARD AWB cis

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Accelerated evolution of constraint elements for hematophagic adaptation in mosquitoes

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Zoological Research 2015年第6期36卷 320-327页

作者： Ming-Shan WANG adeniyi C. ADEOLA Yan LI Ya-Ping ZHANG Dong-Dong WU State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences Kunming 650223 China University of Chinese Academy of Sciences Beijing 100049 China Laboratory for Conservation and Utilization of Bio-resources Yunnan University Kunming 650091 China

Comparative genomics is a powerful approach that comprehensively interprets the genome. Herein, we performed whole genome comparative analysis of 16 Diptera genomes, including four mosquitoes and 12 Drosophilae. We found more than 540 000 constraint elements （CEs） in the Diptera genome, with the majority found in the intergenic, coding and intronic regions. Accelerated elements （AEs） identified in mosquitoes were mostly in the proteincoding regions （〉93%）, which differs from vertebrates in genomic distribution. Some genes functionally enriched in blood digestion, body temperature regulation and insecticide resistance showed rapid evolution not only in the lineage of the recent common ancestor of mosquitoes （RCAM）, but also in some mosquito lineages. This may be associated with lineage-specific traits and/or adaptations in comparison with other insects. Our findings revealed that although universally fast evolution acted on biological systems in RCAM, such as hematophagy, same adaptations also appear to have occurred through distinct degrees of evolution in different mosquito species, enabling them to be successful blood feeders in different environments.

关键词： Mosquitoes Constraint elements Accelerated elements Hematophagy

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