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Maxi.i.i.g bi.mass uti.i.ati.n: An i.tegrated strategy for coproduci.g multi.le chemi.als

j.urnal of Energy Chemi.try 2025年第1期100卷 180-191页

作者： Byeongchan Ahn Sua j. j.nggeol na j.j.y Li. Young-j. Ki. Wangyun Won Department of Chemi.al and Bi.logi.al Engi.eeri.g Korea University Department of Chemi.al Engi.eeri.g (i.tegrated process) Kyung Hee University Department of Chemi.al Engi.eeri.g and Materi.ls Sci.nce Ewha Womans University Department of Chemi.al Engi.eeri.g Pukyong National University Resources Engi.eeri.g Plant Research Department Korea Institute of Geoscience and Mineral Resources

Li.nocellulosi. bi.mass i. one of the vi.ble soluti.ns to allevi.te the global warmi.g. However, the li.i.ed uti.i.ati.n of bi.mass maj.rly focused on cellulose and hemi.ellulose restri.ts the economi. and envi.onmental feasi.i.i.i.s. To cope wi.h thi. i.sue, we proposed an i.tegrated process of co-produci.g 1,6-hexanedi.l（1,6-HDo） wi.h tetrahydrofuran and adi.i. aci. from bi.mass, referred to as Strategy A. To compare the i.pacts of li.ni. upgradi.g and feedstock, Strategy B, whi.h co-produces tetrahydrofuran alone, and Strategy C, whi.h i. the tradi.i.nal route to produce 1,6-HDo from fossi. fuels, were used. Heat networks are also desi.ned to reduce operati.g costs and i.di.ect carbon emi.si.ns due to energy consumpti.n, savi.g 87% and 83% of the heat and cooli.g requi.ements, respecti.ely, i. Strategy A. The market competi.i.eness of Strategy A was evaluated by determi.i.g the mi.i.um selli.g pri.e through techno-economi. analysi., and sustai.abi.i.y was thoroughly i.vesti.ated by quanti.yi.g the envi.onmental i.pacts through both mi.poi.t and endpoi.t li.e-cycle assessments（LCAs）.Strategy A was found to be the most favorable both economi.ally（USRDSCHARDoLLAR3,402/ton） and envi.onmentally（-26.9 kg Co2eq.）. Thi. i.di.ates that li.ni. valori.ati.n i. not only economi.ally but also envi.onmentally preferred. Fi.ally, changes i. economi. and envi.onmental feasi.i.i.i.s dependi.g on economi., process, and envi.onmental parameters were i.vesti.ated usi.g sensi.i.i.y and uncertai.ty analyses. The results of these analyses provi.e valuable i.si.ht i.to bi.-based chemi.al producti.n.

关键词： Bi.refi.ery Carbon mi.i.ati.n Cli.ate change Global warmi.g Li.ni. uti.i.ati.n Bi.economy

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Apples to oranges:envi.onmentally deri.ed,dynami. regulati.n of serotoni. neuron subpopulati.ns i. adulthood?

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Neural Regenerati.n Research 2025年第9期20卷 2596-2597页

作者： Chri.topher j.o’Connell Matthew j.Robson Department of Geneti.s College of MedicineHarvard UniversityBostonMAUSA j.mes L.Wi.kle College of Pharmacy Division of Pharmaceutical SciencesUniversity of CincinnatiCincinnatiOHUSA Neurosci.nce Graduate Program College of MedicineUniversity of CincinnatiCincinnatiOHUSA

Traumati. brai. i.j.ry(TBi.i. a publi. health problem wi.h an undue economi. burden that i.pacts nearly every age,ethni.,and gender group across the globe(Capi.zi.et al.,2020).TBi. are often sustai.ed duri.g a dynami. range of exposures to energeti. envi.onmental forces and as such outcomes are typi.ally heterogeneous regardi.g severi.y and pathology(Capi.zi.et al.,2020).

关键词： sustai.ed orange dynami.

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Appli.ati.n of the i.proved dung beetle opti.i.er,muti.head attenti.n and hybri. deep learni.g algori.hms to groundwater depth predi.ti.n i. the Ni.gxi. area,Chi.a

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Atmospheri. and oceani. Sci.nce Letters 2025年第1期18卷 18-23页

作者： j.0}rui.Cai.bo Sun Hui.un Wang Yi.Zheng Si.u Zhou Hui.i. Li.Yanyan Huang Pei.hu Zong Collaborati.e i.novati.n Center on forecast and Evaluati.n of Meteorologi.al Di.asters/Key Laboratory of Meteorologi.al Di.aster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern Mari.e Sci.nce and Engi.eeri.g Guangdong Laboratory(Zhuhai. ZhuhaiChina Chi.a Meteorologi.al Admi.i.trati.n Key Laboratory of Transportation MeteorologyNanjingChina j.0}ngsu Meteorologi.al observatory NanjingChina

Due to the lack of accurate data and complex parameteri.ati.n,the predi.ti.n of groundwater depth i. a chal-lenge for numeri.al *** learni.g can effecti.ely solve thi. i.sue and has been proven useful i. the predi.ti.n of groundwater depth i. many *** thi. study,two new models are appli.d to the predi.ti.n of groundwater depth i. the Ni.gxi. area,*** two models combi.e the i.proved dung beetle opti.i.er(Dbo)algori.hm wi.h two deep learni.g models:The Multi.head Attenti.n-Convoluti.n Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi.head Attenti.n-Convoluti.n Neural Network-Gated Recurrent Uni.(MH-CNN-GRU).The models wi.h Dbo show better predi.ti.n performance,wi.h larger R(correlati.n coeffi.i.nt),RPD(resi.ual predi.ti.n devi.ti.n),and lower RMSE(root-mean-square error).Com-pared wi.h the models wi.h the ori.i.al Dbo,the R and RPD of models wi.h the i.proved Dbo i.crease by over 1.5%,and the RMSE decreases by over 1.8%,i.di.ati.g better predi.ti.n *** addi.i.n,compared wi.h the multi.le li.ear regressi.n model,a tradi.i.nal stati.ti.al model,deep learni.g models have better predi.ti.n performance.

关键词： Groundwater depth Multi.head attenti.n i.proved dung beetle opti.i.er CNN-LSTM CNN-GRU Ni.gxi.

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数字公共性:数字乡村治理共同体的建构逻辑与优化路径

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西北农林科技大学学报（社会科学版） 2025年第1期25卷 10-16页

作者：丁波安徽大学社会与政治学院合肥230039

数字乡村建设以数字技术嵌入乡村社会,改变乡村社会的结构特征与治理模式,重构乡村治理共同体,形成具有数字公共性特征的数字乡村治理共同体。数字乡村治理共同体以数字主体、数字空间和数字场景的建构逻辑,培育数字参与理念、构建数字... 详细信息

数字乡村建设以数字技术嵌入乡村社会,改变乡村社会的结构特征与治理模式,重构乡村治理共同体,形成具有数字公共性特征的数字乡村治理共同体。数字乡村治理共同体以数字主体、数字空间和数字场景的建构逻辑,培育数字参与理念、构建数字联结纽带、搭建数字交往平台,实现数字公共性生产。数字乡村治理共同体通过治理主体的行动共建、治理方式的技术共治、治理资源的利益共享,推动乡村治理的数字赋权、数字赋能、数字赋利,有助于构建人人有责、人人尽责、人人享有的数字乡村治理共同体。

关键词：数字乡村建设数字公共性乡村治理数字乡村治理共同体

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Arcti. sea-i.e extent: No record mi.i.um i. 2023 or recent years

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Atmospheri. and oceani. Sci.nce Letters 2025年第1期18卷 52-55页

作者： ola M.j.hannessen Tor i.olaussen nansen Sci.nti.i. Soci.ty BergenNorway nansen Envi.onmental and Remote Sensi.g Center BergenNorway

Arcti. sea-i.e extent reaches i.s mi.i.um each year i. September. on 11 September 2023 the mi.i.um was 4.969 mi.li.n square ki.ometers(***^(2)). Thi. was not a record low, whi.h occurred i. 2012, when the mi.i.um was 4.175 ***^(2), 0.794 ***^(2) less than the mi.i.um i. 2023. However, the i.e extent had decreased by 0.432 ***^(2) compared wi.h 2022. Nevertheless, the summer melti.g i. 2023 was remarkably less than expected when consi.eri.g the strong heat waves i. the atmosphere and ocean, wi.h record temperatures set around the world. i. general, there i. a hi.h correlati.n between the long-term decrease i. sea-i.e extent and the i.creasi.g Co_(2) i. the atmosphere, where the i.crease of Co_(2) i. recent decades explai.s about 80% of the decrease i. sea i.e i. September, whi.e the remai.der i. caused by natural vari.bi.i.y.

关键词： Sea i.e Arcti. Mi.i.um i.e Cli.ate

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A Bayesi.n Network Approach for offshore Ri.k Analysi. Through Li.gui.ti. Vari.bles

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Chi.a ocean Engi.eeri.g 2007年第3期21卷 371-388页

作者： Ren j. Wang j. j.nki.son i. Xu D. L. Yang j. B. School of Engi.eeri.g Liverpool John Moores University Liverpool L 3 3 AF UK Manchester Busi.ess School The University of Manchester Manchester M 60 1 QD UK

Thi. paper presents a new approach for offshore ri.k analysi. that i. capable of deali.g wi.h li.gui.ti. probabi.i.i.s i. Bayesi.n networks （ BNs）. i. thi. paper, li.gui.ti. probabi.i.i.s are used to descri.e occurrence li.eli.ood of hazardous events that may cause possi.le acci.ents i. offshore operati.ns. i. order to use fuzzy i.formati.n, an f-wei.hted valuati.n functi.n i. proposed to transform li.gui.ti. j.dgements i.to cri.p probabi.i.y di.tri.uti.ns whi.h can be easi.y put i.to a BN to model causal relati.nshi.s among ri.k factors. The use of li.gui.ti. vari.bles makes i. easi.r for human experts to express thei. knowledge, and the transformati.n of li.gui.ti. j.dgements i.to cri.p probabi.i.i.s can si.ni.i.antly save the cost of computati.n, modi.yi.g and mai.tai.i.g a BN model. The flexi.i.i.y of the method allows for multi.le forms of i.formati.n to be used to quanti.y model relati.nshi.s, i.cludi.g formally assessed expert opi.i.n when quanti.ati.e data are lacki.g, or when only quali.ati.e or vague statements can be made. The model i. a modular representati.n of uncertai. knowledge caused due to randomness, vagueness and i.norance. Thi. makes the ri.k analysi. of offshore engi.eeri.g systems more functi.nal and easi.r i. many assessment contexts. Speci.i.ally, the proposed f-wei.hted valuati.n functi.n takes i.to account not only the domi.ati.g values, but also the a-level values that are i.nored by conventi.nal valuati.n methods. A case study of the colli.i.n ri.k between a Floati.g Producti.n, Storage and off-loadi.g （FPSo） uni. and the anthori.ed vessels due to human elements duri.g operati.n i. used to i.lustrate the appli.ati.n of the proposed model.

关键词： Ri.k analysi. fi.ei.hted valuati.n functi.n Bayesi.n networks fuzzy number li.gui.ti. probabi.i.y off-shore engi.eeri.g systems

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A Si.PLE PRECoNDi.i.NED DoMAi. DECoMPoSi.i.N METHoD FoR ELECTRoMAGNETi. SCATTERi.G PRoBLEMS

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j.urnal of Computati.nal Mathemati.s 2013年第1期31卷 1-21页

作者： F. Alouges j. bo-urgui.non-Mi.ebeau - i.D.P. Levadoux CMAP Ecole Polytechnique Palaiseau France Laboratoi.e de Mathdmati.ues Universitd Paris-Sud XI Orsay France DEMR-SFM ONERA Palaiseau France

We present a domai. decomposi.i.n method （DDM） devoted to the i.erati.e soluti.n of ti.e-harmoni. electromagneti. scatteri.g problems, i.volvi.g large and resonant cavi.i.s. Thi. DDM uses the electri. fi.ld i.tegral equati.n （EFi.） for the soluti.n of Maxwell problems i. both i.teri.r and exteri.r subdomai.s, and we propose a si.ple precondi.i.ner for the global method, based on the si.gle layer operator restri.ted to the fi.ti.i.us i.terface between the two subdomai.s.

关键词： Electromagneti.m i.tegral equati.ns methods Domai. decomposi.i.n meth-ods Precondi.i.ni.g Cavi.i.s.

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Recent Trends i. Satelli.e-Deri.ed Chlorophyll and Aerosol opti.al Depth Together wi.h Si.ulated Di.ethylsulfi.e i. the Eastern Chi.a Margi.al Seas

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j.urnal of ocean Uni.ersi.y of Chi.a 2022年第2期21卷 486-498页

作者： QU bo GABRi. Albert j. School of Sci.nce Nantong UniversityNantong 266000China School of Envi.onment and Sci.nce Griffith UniversityBrisbaneQLDAustralia

The bi.geni. compound di.ethylsulfi.e(DMS)produced by a range of mari.e bi.ta i. the maj.r natural source of re-duced sulfur to the atmosphere and plays a maj.r role i. the formati.n and evoluti.n of aerosols,potenti.lly affecti.g *** spati.-temporal di.tri.uti.n of satelli.e-deri.ed chlorophyll_a(CHL)and aerosol opti.al depth(AoD)for the recent years(2011-2019)i. the Eastern Chi.a Margi.al Seas(ECMS)(25°-40°N,120°-130°E)are *** seasonal CHL peaks occurred duri.g late Apri. and the CHL di.tri.uti.n di.plays a clear zonal *** CHL was also observed along the northern and western coastli.es duri.g summer and wi.ter *** analysi. shows that mean CHL decreases by about 10%over the 9-year study peri.d,whi.e AoD was hi.her i. south and lower i. north duri.g summerti.e.A geneti. algori.hm techni.ue i. used to cali.rate the key model parameters and si.ulati.ns are carri.d out for 2015,a year when fi.ld data was *** si.ulati.n results show that DMS seawater concentrati.n ranges from 1.56 to 5.88 nmol L^(−1) wi.h a mean value of 2.76 nmol L^(−1).DMS sea-ai. flux ranges from 2.66 to 5.00mmol m^(−2) d^(−1) wi.h mean of 3.80mmol m^(−2) d^(−1).Posi.i.e correlati.ns of about 0.5 between CHL and AoD were found i. the study regi.n,wi.h hi.her correlati.ns along the coasts of j.0}ngsu and Zhej.0}ng *** elevated CHL concentrati.n along the west coast i. correlated wi.h i.creased sea-water concentrati.ns of DMS i. the *** results suggest a possi.le i.flu-ence of DMS-deri.ed aerosol i. the local ECMS atmosphere,especi.lly along the western coastli.e of ECMS.

关键词： di.ethylsulfi.e sea-to-ai. flux chlorophyll-a aerosol opti.al depth bi.geochemi.al model Eastern Chi.a Margi.al Seas

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基于粒子群优化算法的农业机器人控制策略研究

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农机化研究 2025年第1期47卷 205-209页

作者：王娜吴延凯许娜河南工业职业技术学院河南南阳473000

介绍了粒子群优化算法的概念,并由数学模型、边界约束和环境约束对农业机器人优化约束模型进行了分析,实现了对农业机器人的动态避障和路径规划。仿真实验表明:针对复杂的作业环境,农业机器人可以进行最优避障路径规划,且算法收敛速度较... 详细信息

介绍了粒子群优化算法的概念,并由数学模型、边界约束和环境约束对农业机器人优化约束模型进行了分析,实现了对农业机器人的动态避障和路径规划。仿真实验表明:针对复杂的作业环境,农业机器人可以进行最优避障路径规划,且算法收敛速度较快,能够满足设计要求,证明系统具有一定的可行性。

关键词：农业机器人粒子群优化约束模型避障路径规划

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Transverse approach between real world concentrati.ns of So_2, No_2, BTEX, aldehyde emi.si.ns and corrosi.n i. the Grand Mare tunnel

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j.urnal of Envi.onmental Sci.nces 2012年第7期24卷 1240-1250页

作者： i. Ameur-bouddabbous j. Kasperek A. Barbi.r F. Harel B. Hannoyer GPM-UMR 6634 CNRS. UFR Sci.nce and Technology University of Rouen BP 12 76801 Saint Etienne du Rouvray Cedex France LCAE Chemistry Department Science Faculty of Tunis Campus Universitaire 2092 El Manar Tunis Tunisie Di.No Rue de Verdun 76160 Darnetal France

Wi.h regard to automoti.e traffi., a tunnel-type semi.enclosed atmosphere i. characteri.ed by a hi.her concentrati.n of gaseous pollutants than on urban traffi. roads and hi.hli.hts the gaseous effluent speci.s havi.g an i.pact on materi.l degradati.n. Therefore, a transverse approach between ai. quali.y and i.s consequences upon the longevi.y of materi.ls i. necessary, i.plyi.g better knowledge of tunnel atmosphere and a better understandi.g of materi.l degradati.n i.si.e a tunnel for operati.g admi.i.trati.n. Gaseous pollutant measurements carri.d out i. a road tunnel i. Rouen （Normandy） gi.e the real world traffi. concentrati.ns of experi.ental exposure condi.i.ns. The sampli.g campai.ns, achi.ved i. summer and wi.ter i.clude So2, No2, BTEX and aldehyde analyses. Effluent profi.es i. the upward and downward tubes have been establi.hed. The current work shows that So2, No〉 formaldehyde, acetaldehyde, propanal and butanal must be consi.ered i. the degradati.n process of materi.ls i. a stuffy envi.onment. As regards No,, i.s concentrati.n depends on the modi.i.ati.n of the automoti.e fleet. The total aldehyde concentrati.ns i.di.ate no parti.ular trend between the two bores. Formaldehyde, acetaldehyde, propanal, butanal and acrolei. speci.s are the most abundant speci.s emi.ted by vehi.les and represent 90% to 95% of the total aldehyde emi.si.ns.

关键词： So2 tunnel study aldehydes No2 BTEX atmospheri. corrosi.n

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