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Microalgae cultivation in photobioreactors: sustainable solutions for a greener future

Green Chemical Engineering 2024年第4期5卷 418-439页

作者： Shaikh Abdur Razzak Khairul Bahar K.M.Oajedul Islam Abdul Khaleel Haniffa Mohammed Omar Faruque S.M.Zakir hossain Mohammad M.hossain Chemical Engineering Department King Fahd University of Petroleum and Minerals Center for Refining and Advanced Chemicals King Fahd University of Petroleum & Minerals Department of Chemical Engineering University of Bahrain

Microalgae cultivation in photobioreactors（PBRs） has emerged as a promising and sustainable approach to address various environmental and energy challenges, offering a multitude of benefits across diverse *** developments in microalgae cultivation in photobioreactors have contributed substantially to the development and optimization of sustainable bioprocesses. This review presents a comprehensive analysis of recent innovations and breakthroughs in the field of microalgae cultivation, with a specific focus on their application in photobioreactors, aimed at paving the way for a greener future. This study in-depth examines the advantages of microalgae cultivation in photobioreactors, concentrating on its effectiveness in wastewater treatment, CO2bioremediation, and the production of biofuels and high-value products. The review evaluates the effects of light,solar irradiation, temperature, nitrogen and phosphorus concentrations in culture media, CO2concentrations, and pH on microalgae growth performance, including specific growth and biomass productivity. The study also examines open systems like unstirred ponds, raceway ponds, and circular ponds and closed systems like horizontal tubular, vertical bubble-column, airlift, flat panel, and plastic-bag photobioreactors, comparing their pros and cons. To optimize microalgae cultivation, key factors in photobioreactor design, including photosynthetic efficiencies, light/dark（L/D） cycles, CO2concentrations, mass transfer, hydrodynamics behavior, and p H, are extensively investigated. In addition, the review outlines recent developments in large-scale photobioreactors and highlights the challenges and opportunities associated with photobioreactor scale-up and design parameter optimization, including genetic engineering and economic feasibility. This article is a vital resource for researchers, engineers, and industry professionals seeking sustainable bioprocesses and the application of microalgae-based technol

关键词： Microalgae biomass CO 2 biofixation Wastewater treatment Biofuel Photobioreactors

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Applications of artificial intelligence in geothermal resource exploration: A review

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Deep Underground Science and Engineering 2024年第3期3卷 269-285页

作者： Mahmoud AlGaiar Mamdud hossain Andrei Petrovski Aref Lashin Nadimul Faisal School of Engineering Robert Gordon UniversityAberdeenUK National Subsea Centre AberdeenUK Petroleum and Natural Gas Engineering Department College of EngineeringKing Saud UniversityRiyadhSaudi Arabia

Artificial intelligence (AI) has become increasingly important in geothermal exploration,significantly improving the efficiency of resource *** review examines current AI applications,focusing on the algorithms used,the challenges addressed,and the opportunities *** addition,the review highlights the growth of machine learning applications in geothermal exploration over the past decade,demonstrating how AI has improved the analysis of subsurface data to identify potential *** techniques such as neural networks,support vector machines,and decision trees are used to estimate subsurface temperatures,predict rock and fluid properties,and identify optimal drilling *** particular,neural networks are the most widely used technique,further contributing to improved exploration ***,the widespread adoption of AI in geothermal exploration is hindered by challenges,such as data accessibility,data quality,and the need for tailored data science training for industry ***,the review emphasizes the importance of data engineering methodologies,data scaling,and standardization to enable the development of accurate and generalizable AI models for geothermal *** is concluded that the integration of AI into geothermal exploration holds great promise for accelerating the development of geothermal energy *** effectively addressing key challenges and leveraging AI technologies,the geothermal industry can unlock cost‐effective and sustainable power generation opportunities.

关键词： artificial intelligence geothermal energy geothermal exploration geothermometry hidden/blind geothermal resources machine learning

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Upgrade from aerated static pile to agitated bed systems promotes lignocellulose degradation in large-scale composting through enhanced microbial functional diversity

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Journal of Environmental Sciences 2024年第10期144卷 55-66页

作者： Hanxia Yu Haoyan Xiao Huiyu Deng Adam Frew Md.Akhter hossain Wenbing Tan Beidou Xi School of Geographical Sciences Fujian Normal UniversityFuzhou 350007China Hawkesbury Institute for the Environment Western Sydney UniversityLocked Bag 1797PenrithNSW 2751Australia State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China

Composting presents a viable management solution for lignocellulose-rich municipal solid ***,our understanding about the microbial metabolic mechanisms involved in the biodegradation of lignocellulose,particularly in industrial-scale composting plants,remains *** study employed metaproteomics to compare the impact of upgrading from aerated static pile(ASP)to agitated bed(AB)systems on physicochemical parameters,lignocellulose biodegradation,and microbial metabolic pathways during largescale biowaste composting process,marking the first investigation of its *** degradation rates of lignocellulose including cellulose,hemicellulose,and lignin were significantly higher in AB(8.21%-32.54%,10.21%-39.41%,and 6.21%-26.78%)than those(5.72%-23.15%,7.01%-33.26%,and 4.79%-19.76%)in ASP at three thermal stages,*** AB system in comparison to ASP increased the carbohydrate-active enzymes(CAZymes)abundance and production of the three essential enzymes required for lignocellulose decomposition involving a mixture of bacteria and fungi(i.e.,Actinobacteria,Bacilli,Sordariomycetes and Eurotiomycetes).Conversely,ASP primarily produced exoglucanase andβ-glucosidase via fungi(i.e.,Ascomycota).Moreover,AB effectively mitigated microbial stress caused by acetic acid accumulation by regulating the key enzymes involved in acetate conversion,including acetyl-coenzyme A synthetase and acetate ***,the AB upgraded from ASP facilitated the lignocellulose degradation and fostered more diverse functional microbial communities in large-scale *** findings offer a valuable scientific basis to guide the engineering feasibility and environmental sustainability for large-scale industrial composting plants for treating lignocellulose-rich *** findings have important implications for establishing green sustainable development models(e.g.,a circular economy based onmaterial recovery)and for achieving sustainable development goals.

关键词： Bacterial and fungal community Large-scale composting Lignocellulose degradation Microbial metabolism Metaproteomic analysis

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Enemies atpeace:Recentprogressin Agrobacterium-mediated cereal transformation

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The Crop Journal 2024年第2期12卷 321-329页

作者： Shaoshuai Liu Ke Wang Shuaifeng Geng Moammar hossain Xingguo Ye Aili Li Long Mao Karl-Heinz Kogel State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Institute of Phytopathology Centre for BioSystemsLand Use and NutritionJustus Liebig UniversityHeinrich Buff-Ring 26-32D-35392GiessenGermany

Agrobacterium tumefaciens mediated plant transformation is a versatile tool for plant genetic engineering following its discovery nearly half a century *** modifications were made in its application to increase efficiency,especially in the recalcitrant major cereals *** breakthroughs in transformation efficiency continue its role as a mainstream technique in CRISPR/Cas-based genome editing and gene *** modifications led to higher transformation frequency and lower but more stable transgene copies with the capability to revolutionize modern *** this review,we provide a brief overview of the history of Agrobacterium-mediated plant transformation and focus on the most recent progress to improve the system in both the Agrobacterium and the host recipient.A promising future for transformation in biotechnology and agriculture is predicted.

关键词： Agrobacterium tumefaciens Cereal species Genome editing Genetic engineering Plant breeding

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Enhancement of coercivity,permeability,and dielectric properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ferrites for memory and high frequency devices

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Journal of Rare Earths 2024年第6期42卷 1128-1135,I0005页

作者： I.Sardar M.D.hossain M.S.Sikder M.N.I.Khan M.R.Rahman Physics Discipline Khulna UniversityKhulna9208Bangladesh Department of Physics Khulna University of Engineering&TechnologyKhulna9203Bangladesh Department ofComputer Science and Engineering Northern University of Business&Technology KhulnaKhulna9100Bangladesh Material Science Division Atomic Energy CentreDhaka1000Bangladesh

Spinel cubic ferrites have huge applications in me mory and high frequency *** the improvement of these modern devices,the magnetic coercivity,permeability,and dielectric properties of a ferrite are the important *** article focuses on improving the magnetic coercivity,magnetic permeability,and dielectric properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ferrites,where x=0.00,0.06,and *** X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),field emission scanning electron microscopy(FESEM),energy dispersive X-ray(EDX),vibrating sample magnetometer(VSM),and an impedance analyzer were used to characterize the structural,magnetic,and dielectric properties of the *** XRD patterns indicate the formation of spinel cubic structure of the samples with a secondary peak(EuFeO_(3))for Eu doped *** densities and porosities of the samples follow an inverse trend,where the doped samples’lattice parameters are increased with the increment of rare earth Eu *** FTIR analysis also proves the spinel cubic phase of the *** average grain size of the ferrites is obtained via FESEM images,and it is increased from 121 to 198 *** analysis confirms that doping of the Eu content also changes other hysteresis loop properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ***,the coercivity of the Eu doped samples is greater than that of the mother alloy(x=0.00).The EDX study shows that there is no impurity contamination in the *** permeability and dielectric measurements show an improved quality factor of the Eu-doped samples with low magnetic and dielectric *** dependent resistivity and impedance analysis also show the improved *** the observed properties of the samples,all the investigated ferrites might be strong candidates for potential applications in memory devices,magnetic sensors,and high frequency applications.

关键词： Ferrites Raree arths Coercivity Permeability EDX Resistivity

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Genome-Wide Analysis for Yield-Related Agronomic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Genotypes Using SSR Markers

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Phyton-International Journal of Experimental Botany 2024年第8期93卷 1781-1804页

作者： Md.Mosiur Rahman Md.Ruhul Quddus Quanle Xu Muhammad Malek hossain Rong Liu Mengwei Li Xin Yan Guan Li Yishan Ji Chenyu Wang Ashutosh Sarker Tao Yang Xuxiao Zong Md.Monoar hossain Saleh Alfarraj Mohammad Javed Ansari Sagar Maitra Akbar hossain Institute of Crop Sciences Chinese Academy of Agricultural Sciences(CAAS)Beijing100081China Pulses Research Center Bangladesh Agricultural Research Institute(BARI)Gazipur1701Bangladesh Hybrid Rice Division Bangladesh Rice Research Institute(BRRI)Gazipur1701Bangladesh Northwest Agriculture&Forestry University Yangling712199China International Center for Agricultural Research in the Dry Areas(ICARDA) New Delhi110012India Wheat Breeding Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh Zoology Department College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Botany Hindu College Moradabad(Mahatma Jyotiba Phule Rohilkhand UniversityBareilly)Moradabad244001India Department of Agronomy and Agroforestry Centurion University of Technology and ManagementOdisha761211India Soil Science Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh

Grass pea(Lathyrus sativus L.)is an imperative food crop cultured in dryland agricultural *** is a vital source of dietary protein to millions of populaces living in low-income countries in South-East Asia and *** study highlights the improvement of genomic properties and their application in marker-trait relationships for 17 yield-related characters in 400 grass pea genotypes from China and *** characters were assessed via 56 polymorphic markers using general linear model(GLM)(P+G+Q)and mixed linear model(MLM)(P+G+Q+K)in the tassel software based on the linkage disequilibrium and population structure *** structure analysis showed two major groups and one admixed group in the *** significant loci pairs of linkage disequilibrium(LD)mean value(D′)was 0.479.A total of 99 and 61 marker-trait associations in GLM and MLM models allied to the 17 traits were accepted at a 5%level of *** these markers,21 markers were associated with more than one trait;12 marker-trait associations passed the Bonferroni correction *** models found six markers C41936,C39067,C34100,C47146,C47638,and C43047 significantly associated with days to maturity,flower color,plant height,and seed per pod were detected in the Hebei and Liaoyang location(p≤0.01),and the interpretation rate(R^(2)value)11.2%to 43.6%.Conferring to the consequences,the association analysis methodology may operative system for quantitative,qualitative,and biochemical traits related to gene position mapping and support breeders in improving novel approaches for advancing the grass pea quality.

关键词： Grass pea dryland agriculture genome-wide association yield contributing traits SSR markers

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Response of Rice Cultivars to Elevated Air Temperature and Soil Amendments: Implications towards Climate Change Adaptations and Mitigating Global Warming Potentials

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American Journal of Climate Change 2024年第3期13卷 406-426页

作者： Muhammad Aslam Ali S. K. Md. Fazlay Rabbi Md. Abdul Baten Hafsa Jahan Hiya Shah Tasdika Auyon Md. Shamsur Rahman Deboki Kundu Khairul Amin Sanjit Chandra Barman tanver.hossain Fariha Binte Nobi Department of Environmental Science Bangladesh Agricultural University Mymensingh Bangladesh Department of Environmental Science and Disaster Management Bangabandhu Sheikh Mujibur Rahman Science and Technology University Gopalganj Bangladesh Department of Agricultural Extension Mymensingh Region Mymensingh Bangladesh

Global mean surface air temperature is expected to increase 1.1˚C - 6.4˚C by the end of 21st century which may affect rice productivity and methane emissions in the future climate. This experiment was conducted to investigate the response of rice cultivars to elevated air temperature (+1.5˚C higher than ambient) and soil amendments in regards to rice yield, yield scaled methane emissions and global warming potentials. The experimental findings revealed that replacement of inorganic fertilizers (20% - 40% of recommended NPKS) with Vermicompost, Azolla biofertilizer, enriched sugarcane pressmud, rice husk biochar and silicate fertilization increased rice yield 13.0% - 23.0%, and 11.0% - 19.0% during wet aman and dry boro season, respectively. However, seasonal cumulative CH4 fluxes were decreased by 9.0% - 25.0% and 5.0% - 19.0% during rainfed wet aman and irrigated dry boro rice cultivation, respectively with selected soil amendments. The maximum reduction in seasonal cumulative CH4 flux (19.0% - 25.0%) was recorded with silicate fertilization and azolla biofertilizer amendments (9.0% - 13.0%), whereas maximum grain yield increment 10.0 % - 14.0% was found with Vermicompost and Sugarcane pressmud amendments compared to chemical fertilization (100% NPKS) treated soils at ambient air temperature. However, rice grain yield decreased drastically 43.0% - 50.0% at elevated air temperature (3˚C higher than ambient air temperature), eventhough accelerated the total cumulative CH4 flux as well as GWPs in all treatments. Maximum seasonal mean GWPs were calculated at 391.0 kg CO2 eq·ha−1 in rice husk biochar followed by sugarcane pressmud (mean GWP 387.0 kg CO2 eq·ha−1), while least GWPs were calculated at 285 - 305 kg CO2 eq·ha−1 with silicate fertilizer and Azolla biofertilizer amendments. Rice cultivar BRRI dhan 87 revealed comparatively higher seasonal cumulative CH4 fluxes, yield scaled CH4 flux and GWPs than BRRI dhan 71 during wet aman rice growing season;while BRRI dhan

关键词： Rice Paddy Soil Amendments CH4 Flux GWPs Elevated Air Temperature

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Common Organic Amendment (Rice Straw) Can Reduce Salinity Effects on Bean (Phaseolus vulgaris) Growth with or without Photoperiod Manipulation

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American Journal of Plant Sciences 2024年第6期15卷 403-421页

作者： Shamima Jahan Sonia hossain Department of Soil Water & Environment University of Dhaka Dhaka Bangladesh

Soil salinity is a major limiting factor for crop production in coastal areas of Bangladesh. Cheap and sustainable management of soil salinity is hence most sought out topics in agricultural research. Conceptualizing that idea in mind, a pot experiment was conducted in the Department of Soil, Water & Environment, University of Dhaka in order to analyze if common organic amendments (rice straw, saw dust) coupled with reduce photoperiod can mitigate salinity effect on the growth of bean (Phaseolus vulgaris). The experiment was set up following completely randomized design (CRD) with nine treatments and three replications containing Tc (Control), T1 (Ambient photoperiod + 110 mM Salinity treatment + Rice straw), T2 (Reduced photoperiod + 110 mM Salinity treatment + Rice straw), T3 (Ambient photoperiod + 220 mM Salinity treatment + Rice straw), T4 (Reduced photoperiod + 220 mM Salinity treatment + Rice straw), T5 (Ambient photoperiod + 110 mM Salinity treatment + Saw dust), T6 (Reduced photoperiod + 110 mM Salinity treatment + Saw dust), T7 (Ambient photoperiod + 220 mM Salinity treatment + Saw dust) and T8 (Reduced photoperiod + 220 mM Salinity treatment + Saw dust). Organic amendments were used separately at the rate of 12 ton/ha. The highest plant height (98.67 cm), root length (12.5 cm), pod number (10.33), leaf area (13.99 cm2), fresh weight (680 kg/ha), dry weight (316.67 kg/ha) were recorded with the treatment T1 while the second-best treatment was treatment T2 (with highest harvest index 0.040) and these results were statistically significant (p < 0.001). In post-harvest soil, pH, EC, OC, OM;available N, P, K, S;total Ca, Mg, Zn, Mn were increased significantly in treatment T1. The overall results illustrated that the best growth and yield performances were achieved in the treatment T1 and T2.

关键词： Phaseolus vulgaris Rice Straw Saw Dust Salinity Treatment Photoperiod

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Knock-out of BnHva22c reduces the susceptibility of Brassica napus to infection with the fungal pathogen Verticillium longisporum

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The Crop Journal 2024年第2期12卷 503-514页

作者： Wanzhi Ye Roxana hossain Michael Prbsting Abdallah Abdelmegid Mohamed Ali Lingyue Han Ying Miao Steffen Rietz Daguang Cai Dirk Schenke Department of Molecular Phytopathology and Biotechnology Institute of PhytopathologyChristian-Albrechts-University of KielKielGermany Institut für Zuckerrübenforschung GöttingenGermany Plant Pathology Department Faculty of Agriculture and Natural ResourcesAswan UniversityAswanEgypt Fujian Provincial Key Laboratory of Plant Functional Biology College of Life SciencesFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Hohenlieth-Hof NPZ Innovation GmbHHoltseeGermany

Verticillium longisporum(Vl43)is a soilborne hemibiotrophic fungal pathogen causing stem striping on oilseed rape(OSR)and severe yield *** for resistant varieties is the most promising approach to control this ***,we report the identification of Hva22c as a novel susceptibility factor and its potential for improving OSR ***22c is a member of the Hva22 gene family,originally described for barley(Hordeum vulgare).Several Hva22 members have been located at the endoplasmic ***22c is up-regulated in response to Vl43 in both Arabidopsis and *** demonstrate that knock-out of Hva22c in OSR by CRISPR/Cas9 and its homolog in Arabidopsis by T-DNA insertion reduced plants’susceptibility to Vl43 infection and impaired the development of disease *** understand the underlying mechanism,we analysed transcriptomic data from infected and non-infected roots of hva22c knock-out and wild type *** identified a homozygous mutant with frame-shifts in all four BnHva22c loci displaying a vastly altered transcriptional landscape at 6 ***,a large set of genes was suppressed under mock conditions including genes related to the endomembrane *** the up-regulated genes we found several defense-related and phytohormone-responsive genes when comparing mutant to the wild *** results demonstrate that Hva22c is functionally required for a fully compatible plant-fungus *** loss of function reduces plant susceptibility,most likely due to endoplasmatic reticulum and Golgi dysfunction accompanied by additionally activated defense *** findings can help improve OSR resistance to *** infection.

关键词： Hva22c Susceptibility factor CRISPR/Cas9 Brassica napus Arabidopsis Verticillium longisporum Resistance breeding

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Machine learning-based multi-objective optimization and thermal assessment of supercritical CO_(2) Rankine cycles for gas turbine waste heat recovery

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Energy and AI 2024年第2期16卷 363-384页

作者： Asif Iqbal Turja Ishtiak Ahmed Khan Sabbir Rahman Ashraf Mustakim Mohammad Ishraq hossain M Monjurul Ehsan Yasin Khan Department of Mechanical and Production Engineering(MPE) Islamic University of Technology(IUT)Board BazarGazipur1704Bangladesh

Technologies for utilizing waste heat for power generation have attracted significant attention in recent years due to their potential to enhance energy efficiency and reduce greenhouse gas *** research focuses on the comparative and optimization analysis of three supercritical carbon dioxide(sCO_(2))Rankine cycles(simple,cascade,and split)for gas turbine waste heat *** study begins with parametric analysis,investigating the significant effects of key variables,including turbine inlet temperature,condenser inlet temperature,and pinch point temperature,on the thermal performance of advanced sCO_(2) power *** identify the most efficient cycle configuration,a multi-objective optimization approach is *** approach combines a Genetic Algorithm with machine learning regression models(Random Forest,XGBoost,Artificial Neural Network,Ridge Regression,and K-Nearest Neighbors)to predict cycle performance using a dataset extracted from cycle *** decision-making process for determining the optimal cycle configuration is facilitated by the TOPSIS(technique for order of preference by similarity to the ideal solution)*** study's major findings reveal that the split cycle outperforms the simple and cascade configurations in terms of power generation across various operating *** optimized split cycle not only demonstrates superior power output but also exhibits enhanced net power output,heat recovery,system and exergy efficiency of 7.99 MW,76.17%,26.86%and 57.96%,respectively,making it a promising choice for waste heat recovery *** research has the potential to contribute to the advancement and widespread adoption of waste heat recovery in energy technologies boosting system efficiency and economic *** provides a new perspective for future research,contributing to the improvement of energy generation infrastructure.

关键词： Supercritical co2 Rankine cycle Waste heat recovery Gas turbine Thermodynamic analysis Machine Learning Optimization

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