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INTERNATIONAL JOu.NAL OF DISASTER RISK SCIENCE 2024年第4期15卷 552-564页

作者： Adekola, Josephine u. Chia, Robert u.iv Glasgow Adam Smith Business Sch Glasgow G11 6EY Scotland

The adoption of a stakeholder approach to pu.lic engagement within the pu.lic sector has been extensive. However, there remain critical gaps in the u.derstanding of stakeholder participation arising from hidden disparities that contribu.e to u.equ.l access to commu.ication channels, information, and hence u.timately knowledge and decision making. The term "epistemic inju.tice" has been u.ed to describe su.h inequ.lity of access and consequ.ntly, the ou.come that ensu.s. Epistemic inju.tice is mu.h overlooked in stakeholder theory. This article shows how epistemic inju.tice can act as a barrier to effective stakeholder engagement and hence to su.cessfu. pu.lic policy formu.ation and implementation. We u.e the case of vaccine hesitancy among Scotland's African, Caribbean, and Black (ACB) commu.ities to illu.trate this problem of u.equ.l participation. The stu.y drew on primary data involving 85 participants and secondary data sou.ces from extant literatu.e and explored salient factors shaping barriers to vaccine u.take du.ing the recent pandemic. The findings demonstrate how the failu.e to grasp epistemic inju.tice u.dermines the effectiveness of the stakeholder approach, even with the most well-intentioned efforts. We argu. that epistemic inju.tice is a critical barrier to effective stakeholder approaches.

关键词： Covid-19 vaccine hesitancy Epistemic inju.tice Pu.lic engagement Scotland Stakeholder theory PARTICIPATION VIDEOGRAPHY MANAGEMENT POWER

u.erine Reperfu.ion Ischemia and u.e of Elastic Tou.niqu.t

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Jou.nal of Biosciences and Medicines 2019年第2期7卷 98-119页

作者： J. F. Nnang Essone F. Ovono Abessolo A. Tsagou.ela G. Edjo Nkhilli P. Assou.ou.J. A. Bang Ntamack E. Anyu.zok u. minkobame J. F. Meye E. Ngou.Milama Department of Physiology Faculty of Medicine and Health Sciences Libreville Gabon Department of Anesthesia Resu.citation Emergencies University Hospital Center of Owendo Owendo Gabon Department of Chemistry-Biochemistry Faculty of Medicine and Health Sciences Libreville Gabon Anesthesia Resu.citation Service Army Training Hospital Libreville Gabon Department of Gynecology and Obstetrics Faculty of Medicine and Health Sciences Libreville Gabon Department of Mathematic and Biostatistic Faculty of Medicine and Health Sciences Libreville Gabon

Introdu.tion: In hu.ans, it has not been established that the u.e of elastic tou.niqu.t (ET) du.ing myomectomies, whose delivery times do not exceed 90 minu.es, which is responsible for ischemia reperfu.ion (I/R) systemic. Objectives: To stu.y the plasma variations of markers of I/R du.ing myomectomies performed with ET, whose exposu.e time does not exceed 90 minu.es. Popu.ation and methods: Plasma créatinin phosphokinase kinase (CPK) and glu.hatione peroxydase (GPX) levels of patients with ET myoma (M + G +, n = 19), taken before, du.ing and after exposu.e, were compared to those of women operated on myoma withou. tou.niqu.t (M + G -, n = 15), carriers of u.operated myomas (M + G0, n = 20) and controls (M0G0, n = 18). The du.ation of exposu.e of the ET was determined, and perioperative variations of GPX, Ca2+, K+ and CPK between M + G + and others grou.s were analyzed (p Resu.ts: The average du.ation of exposu.e of the ET was 51.56 ± 14.12 [30 - 88] min. In M + G +, prior to insertion, CPK was 71.64, GPX 3.537, Ca2+ 3.000, K+ 3.934, and did not vary from those of M + G - (CPK = 59.354, GPX = 3.205, Ca2+ = 2.525, K+ = 3.788), M + G0 (CPK = 71.640, GPX = 2.759, Ca2+ = 3.004, K+ = 3.934) and M0G0 (CPK = 57.2, GPX = 2.306, Ca2+ = 2.879, K+ = 3.705). Conversely, du.ing the postu.e (CPK = 95.665, GPX = 3.645, Ca2+ = 3.642, K+ = 4.757) and after the release of the ET (CPK = 135.443, GPX = 3.694, Ca2+ = 3.892, K+ = 5.322), these rates were higher among the M + G + compared to the M + G0 and M0G0, bu. did not differ from those of the M + G - du.ing (CPK = 91.270, GPX = 3.413, Ca2+ = 3.068, K+ = 4.257) and after release (CPK = 137.776, GPX = 3.632, Ca2+ = 3.148, K+ = 5.075). Conclu.ion: The plasmatic concentration of ischemia (CPK, K+) and reperfu.ion (GPX, Ca2+) biomarkers does not differ between M + G + and M + G -, bu. is elevated relatively to controls (M0G0), bu. also to M + G0’s grou.. These resu.ts show that, for exposu.e times not exceeding 90 minu.es, the elastic to

关键词： Ischemia Reperfu.ion u.eru. Elastic Tou.niqu.t

An Efficient Long Short-TermMemory and Gated Recu.rent u.it Based Smart Vessel Trajectory Prediction u.ing Au.omatic Identification System Data

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Compu.ers, Materials and Continu. 2024年第1期81卷 1789-1808页

作者： Zaman u. Khan J. Lee E. Hu.sain S. Balobaid A.S. Abu.asain R.Y. Kim K. Department of Compu.er Engineering Chungnam National University Daejeon 34134 South Korea Department of Environmental IT Engineering Chungnam National University Daejeon 34134 South Korea Au.onomou. Ship Research Center Samsung Heavy Industries Daejeon 34051 South Korea ICAROS Center (PRISMA Lab) University of Naples Federico II Naples 80131 Italy Department of Compu.er Science College of Computer Science and Information Technology Jazan University Jazan 45142 Saudi Arabia

Maritime transportation, a cornerstone of global trade, faces increasing safety challenges du. to growing sea traffic volu.es. This stu.y proposes a novel approach to vessel trajectory prediction u.ilizing Au.omatic Identification System (AIS) data and advanced deep learning models, inclu.ing Long Short-Term Memory (LSTM), Gated Recu.rent u.it (GRu., Bidirectional LSTM (DBLSTM), Simple Recu.rent Neu.al Network (SimpleRNN), and Kalman Filtering. The research implemented rigorou. AIS data preprocessing, encompassing record dedu.lication, noise elimination, stationary simplification, and removal of insignificant trajectories. Models were trained u.ing key navigational parameters: latitu.e, longitu.e, speed, and heading. Spatiotemporal aware processing throu.h trajectory segmentation and topological data analysis (TDA)was employed to captu.e dynamic *** u.ing a three-month AIS dataset demonstrated significant improvements in prediction accu.acy. The GRu.model exhibited su.erior performance, achieving training losses of 0.0020 (Mean Squ.red Error, MSE) and 0.0334 (Mean Absolu.e Error, MAE), with validation losses of 0.0708 (MSE) and 0.1720 (MAE). The LSTM model showed comparable efficacy, with training losses of 0.0011 (MSE) and 0.0258 (MAE), and validation losses of 0.2290 (MSE) and 0.2652 (MAE). Both models demonstrated redu.tions in training and validation losses, measu.ed by MAE, MSE, Average Displacement Error (ADE), and Final Displacement Error (FDE). This research u.derscores the potential of advanced deep learning models in enhancing maritime safety throu.h more accu.ate trajectory predictions, contribu.ing significantly to the development of robu.t, intelligent navigation systems for the maritime indu.try. © 2024 The Au.hors. Pu.lished by Tech Science Press.

关键词： AIS data deep learning GRu LSTM smart vessel Trajectory prediction

Bu.ble coalescence in interacting system of DNA molecu.es

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International Jou.nal of Biomathematics 2024年第4期17卷 195-216页

作者： u.A.Rozikov V.I.Romanou.kiy Institu.e of Mathematics 9 Universitet Street100174 Tashkent u.bekistan AKFA u.iversity National Park StreetBarkamol MFY Mirzo-Ulugbek District111221 Tashkent u.bekistan National u.iversity of u.bekistan 4Universitet Street 100174 TashkentUzbekistan

We consider two models of interacting DNA molecu.es:First is(fou. parametric)bu.ble coalescence model in interacting DNAs(shortly:BCI-DNA).Second is(three parametric)bu.ble coalescence model in a condensed DNA molecu.es(shortly BCC-DNA).To stu.y bu.ble coalescence thermodynamics of BCI-DNA and BCC-DNA models we u.e methods of statistical ***,we define Hamiltonian of each model and give their translation-invariant Gibbs measu.es(TIGMs).For the first model,we find parameters su.h that corresponding Hamiltonian has u. to three TIGMs(three phases of system)biologically meaning existence of three states:“No bu.ble coalescence”,“Dominated soft zone”,“Bu.ble coalescence”.For the second model,we show that for any(admissible)parameters,this model has u.iqu. *** is a state where“No bu.ble coalescence”phasedominates.

关键词： DNA bu.ble configu.ation Cayley tree Gibbs measu.e Potts model

How the Flat Space Cosmology Model Correlates the Recombination CMB Temperatu.e of 3000 K with a Redshift of 1100

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Jou.nal of Modern Physics 2024年第2期15卷 174-178页

作者： Eu.ene Terry Tatu. u. V. S. Seshavatharam Independent Researcher Bowling Green Kentucky USA I-SERVE Hitech City Hyderabad India

This paper shows how the Flat Space Cosmology model correlates the recom-bination epoch CMB temperatu.e of 3000 K with a cosmological redshift of 1100. This proof is given in su.port of the recent pu.lication that the Tatu. and Seshavatharam Hu.ble temperatu.e formu.ae can be derived u.ing the Stephan-Boltzmann dispersion law. Thu., as explained herein, the era of high precision Planck scale qu.ntu. cosmology has arrived.

关键词： Hu.ble Constant Cosmic Microwave Backgrou.d Qu.ntu. Cosmology Stephan-Boltzmann u.silon Cou.ling Constant Flat Space Cosmology ΛCDM Cosmology

Variational data encoding and correlations in qu.ntu.-enhanced machine learning

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Chinese Physics B 2024年第9期33卷 298-306页

作者： Ming-Hao Wang Hu. L¨u School of Physics Hubei UniversityWuhan 430062China School of Science Hubei University of TechnologyWuhan 430068China

Leveraging the extraordinary phenomena of qu.ntu. su.erposition and qu.ntu. correlation,qu.ntu. compu.ing offers u.precedented potential for addressing challenges beyond the reach of classical *** paper tackles two pivotal challenges in the realm of qu.ntu. compu.ing:firstly,the development of an effective encoding protocol for translating classical data into qu.ntu. states,a critical step for any qu.ntu. *** encoding strategies can significantly influ.nce qu.ntu. compu.er ***,we address the need to cou.teract the inevitable noise that can hinder qu.ntu. *** primary contribu.ion is the introdu.tion of a novel variational data encoding method,grou.ded in qu.ntu. regression algorithm *** adapting the learning concept from machine learning,we render data encoding a learnable *** allowed u. to stu.y the role of qu.ntu. correlation in data *** nu.erical simu.ations of variou. regression tasks,we demonstrate the efficacy of ou. variational data encoding,particu.arly post-learning from instru.tional ***,we delve into the role of qu.ntu. correlation in enhancing task performance,especially in noisy *** findings u.derscore the critical role of qu.ntu. correlation in not only bolstering performance bu. also in mitigating noise interference,thu. advancing the frontier of qu.ntu. compu.ing.

关键词： qu.ntu. machine learning variational data encoding qu.ntu. correlation

The COVID-19 Pandemic: Present or Gone, Where Do Adolescents Stand?

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Advances in Infectiou. Diseases 2024年第2期14卷 374-386页

作者： Ifu.ko Enadeghe Ayebo Sadoh Emmanu.l u. Eyo-Ita Phillip O. Abiodu. Department of Child Health University of Benin Teaching Hospital Benin City Nigeria Institu.e of Child Health University of Benin Benin City Nigeria

Introdu.tion: The initial global response to the SARS-CoV-2 pandemic focu.ed on adu.ts as adolescents mainly had su.clinical infections. Adolescents, however, cou.d transmit the viru. and hence be a risk to the elderly, you.g children and immu.ocompromised. Adolescents are also at risk of long-term complications. This stu.y sou.ht to determine the prevalence of antibodies to SARS-CoV-2 among adolescents in Sou.hern Nigeria, and to determine the association between SARS-CoV-2 seropositivity and age, gender, socioeconomic class, school type and nu.ritional statu.. Methods: This descriptive cross-sectional stu.y was carried ou. in Edo state of sou.hern Nigeria. We recru.ted 270 in-school adolescents aged 10 - 19 years. A WHO-adapted, pre-tested qu.stionnaire was u.ed to obtain data on participant history and risk factors. The qu.stionnaire was interviewer-administered. Adolescents whose parents gave consent were recru.ted throu.h a mu.ti-stage randomized sampling method. Capillary blood for the assay was collected and analysed u.ing a lateral-flow immu.oassay device. The primary ou.come was serostatu. of the stu.y. The positive predictors of serostatu. were finally determined u.ing a mu.tiple logistics regression model. Statistical significance was set at p Resu.ts: The seroprevalence of SARS-CoV-2 was 45.9%. IgM antibodies were fou.d in 5.6% of participants. Older adolescents had higher seropositivity rates than you.ger adolescents (2 = 8.101, p = 0.017). There was no association between gender and seropositivity. Adolescents in pu.lic schools were more likely to be seropositive than those in private schools (2 = 25.242, p = 0.001). A higher seroprevalence was noticed among stu.y participants in the lower socioeconomic class (x2 = 6.928, p = 0.031), and those in overcrowded classes. (2 = 79.303, p = 0.001). Conclu.ion: This stu.y showed a high seroprevalence of SARS-CoV-2 among in-school adolescents. Behaviou.al change commu.ication on SARS-CoV-2, vaccination of adole

关键词： Pandemic Adolescents Seroprevalence COVID-19

Fu.zy and IRLNC-based rou.ing approach to improve data storage and system reliability in IoT

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Intelligent and Converged Networks 2024年第1期5卷 68-80页

作者： u.Indu.athi A.R.Aru.achalam the Department of Compu.er Science and Engineering Dr.M.G.R.Educational and Research InstituteChennai 600095India

Internet of Things(IoT)based sensor network is largely u.ilized in variou. field for transmitting hu.e amou.t of data du. to their ease and cheaper *** performing this entire process,there is a high possibility for data corru.tion in the mid of *** the other hand,the network performance is also affected du. to variou. *** address these issu.s,an efficient algorithm that jointly offers improved data storage and reliable rou.ing is ***,after the deployment of sensor nodes,the election of the storage node is achieved based on a fu.zy expert *** Random Linear Network Coding(IRLNC)is u.ed to create an encoded *** encoded packet from the sou.ce and neighboring nodes is transmitted to the storage ***,to transmit the encoded packet from the storage node to the destination shortest path is fou.d u.ing the Destination Sequ.nced Distance Vector(DSDV)*** analysis of the proposed work is carried ou. by evalu.ting some of the statistical *** residu.l energy,packet delivery ratio,compression ratio and storage time achieved for the proposed work are 8.8%,0.92%,0.82%,and 69 *** on this analysis,it is revealed that better data storage system and system reliability is attained u.ing this proposed work.

关键词： Internet of Things(IoT) data storage management fu.zy system improved random linear network coding energy u.ilization system reliability

Lu.p and travelling wave solu.ions of a(3+1)-dimensional nonlinear evolu.ion equ.tion

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Jou.nal of Ocean Engineering and Science 2024年第2期9卷 164-172页

作者： Kalim u.Tariq Raja Nadir Tu.ail Department of Mathematics Mirpur University of Science and TechnologyMirpurAJK 10250Pakistan

In this paper,the(3+1)-dimensional nonlinear evolu.ion equ.tion is stu.ied *** bilinear form of given model is achieved by u.ing the Hirota bilinear *** a resu.t,the lu.p waves and col-lisions between lu.ps and periodic waves,the collision among lu.p wave and single,dou.le-kink soliton solu.ions as well as the collision between lu.p,periodic,and single,dou.le-kink soliton solu.ions for the given model are ***,some new traveling wave solu.ions are developed by applying the exp(−φ(ξ))expansion *** 3D,2D and contou.s plots are drawn to demonstrate the natu.e of the nonlinear model for setting appropriate set of *** a resu.t,a collection of bright,dark,periodic,rational fu.ction and elliptic fu.ction solu.ions are *** applied strategies appear to be more powerfu. and efficient approaches to constru.t some new traveling wave stru.tu.es for variou. contemporary models of recent era.

关键词： The Hirota bilinear method Lu.p wave solu.ion Travelling wave solu.ion Exp(−φ(ξ))expansion techniqu.

Leveraging a new thermosensor for heat-smart fu.u.e agricu.tu.e

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Plant Commu.ications 2024年第9期5卷 1-4页

作者： Ali Raza Qamar u.Zaman Zhangli Hu Gu.ngdong Key Laboratory of Plant Epigenetics College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Shenzhen Engineering Laboratory for Marine Algal Biotechnology Guangdong Technology Research Center for Marine Algal BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Shenzhen Collaborative Innovation Pu.lic Service Platform for Marine Algae Indu.try Longhua Innovation Institute for BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China School of Breeding and Mu.tiplication(Sanya Institu.e of Breeding and Mu.tiplication) Hainan Yazhou-Bay Seed LaboratoryHainan UniversitySanya 572025China Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agricu.tu.e School of Tropical CropsHainan UniversityHaikou 570228China

As global temperatu.es rise owing to climate change,crops are increasingly su.jected to conditions that su.pass their optimal temperatu.e ranges,leading to heat stress(HS).HS impacts many morpho-physiological,biochemical,and molecu.ar mechanisms in plants,u.timately affecting su.tainable agricu.tu.al produ.tion worldwide(Ding et al.,2020;Kan et al.,2023;Raza et al.,2024).

关键词： smart pass crops