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Integrating vegetation indices and geo-environmental factors in GIS-based landslide-susceptibility mapping:using logistic regression

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Journal of Mountain Science 2022年第2期19卷 477-492页

作者： Himasha d.ABEYSIRIWARdANA Pattiyage I.A.gomes department of Civil Engineering Faculty of EngineeringSri Lanka Institute of Information TechnologyMalabe 101115Sri Lanka

This study aimed to assess the potential of in-situ measured soil and vegetation characteristics in landslide susceptibility ***,data for eight independent variables,i.e.,soil moisture content,soil organic content,compaction of soil(soil toughness),plant root strength,crop biomass,tree diameter at knee height,Shannon Wiener Index(SWI)for trees and herbs was assembled from field tests at two historic landslide locations:Aranayaka and Kurukudegama,Sri *** economical,finer resolution database was obtained as the field tests were not *** logistic regression(LR)analysis showed that soil moisture content,compaction of soil,SWI for trees and herbs were statistically significant at Pd to test for *** values(d the absence of multicollinearity between four independent variables in the LR *** Operating Characteristics(ROC)curve and Confusion Metrix(CM)methods were used to validate the *** ROC analysis,areas under the curve of Success Rate Curve and Prediction Rate Curve were 84.5% and 96.6%,respectively,demonstrating the model’s excellent compatibility and *** to the CM,the model demonstrated a 79.6% accuracy,63.6% precision,100% recall,and a F-measure of 77.8%.The model coefficients revealed that the vegetation cover has a more significant contribution to landslide susceptibility than soil ***,the susceptibility map,which was then classified as low,medium,and highly susceptible areas based on the natural breaks(Jenks)method,was generated using geographical information systems(GIS)*** the historic landslide locations fell into the high susceptibility ***,validation of the model and inspection of the susceptibility map indicated that the in-situ soil and vegetation characteristics used in the model could be employed to demarcate historical landslide patches and identify landslide susceptibl

关键词： Landslide Susceptibility Slope stability GIS Logistic regression Area under the curve Confusion Metrix

Origami-Based design for 4d Printing of 3d Support-Free Hollow Structures

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Engineering 2022年第5期8卷 70-82页

作者： Bingcong Jian Frederic demoly Yicha Zhang H.Jerry Qi Jean-Claude Andre Samuel gomes Laboratoire Interdisciplinaire Carnot de Bourgogne UMR 6303 Centre National de la Recherche Scientifique&Universitede Technologie de Belfort-MontbeliardUniversite Bourgogne Franche-ComteBelfort 90400France George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Laboratoire Reactions et Genie des Procedes UMR 7274 Centre National de la Recherche Scientifique-Universitede LorraineNancy 54001France

The integration of additive manufacturing(AM)in design and engineering has prompted a wide spectrum of research efforts,involving topologically optimized solid/lattice structures,multimaterial structures,bioinspired organic structures,and multiscale structures,to name a ***,except for obvious cases,very little attention has been given to the design and printing of more complex three-dimensional(3d)hollow structures or folded/creased *** of the main reasons is that such complex open or closed 3d cavities and regular/freeform folds generally lead to printing difficulties from support-structure-related *** address this barrier,this paper aims to investigate four-dimensional(4d)printing as well as origami-based design as an original research direction to design and build 3d support-free hollow *** work consists of describing the rough 3d hollow structures in terms of two-dimensional(2d)printed origami precursor layouts without any support *** origami-based definitions are then embodied with folding functions that can be actuated and fulfilled by 3d printed smart *** desired 3d shape is then built once an external stimulus is applied to the active materials,therefore ensuring the transformation of the 2d origami layout to 3d *** demonstrate the relevance of the proposal,some illustrative cases are introduced.

关键词： Origami-based design 4d printing Smart material Hollow 3d structures Additive manufacturing

A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAURABH R.KIRAN d.SINGH R.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSdT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(HR), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

关键词： bio-inspired composite plate finite element method (FEM) Green-Lagrange helicoidal inverse hyperbolic shear deformation theory (IHSdT) nonlinear O322

Tailoring sub-5 nm Fe-doped CeO2 nanocrystals within confined spaces to boost photocatalytic hydrogen evolution under visible light

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Journal of Energy Chemistry 2025年第2期101卷 263-277页

作者： Giuseppina Iervolino Olimpia Tammaro Marco Fontana Bruno Masenelli Anne d.Lamirand Vincenzo Vaiano Serena Esposito department of Industrial Engineering University of Salerno department of Applied Science and Technology and INSTM Unit of Torino-Politecnico Politecnico di Torino Center for Sustainable Future Technologies POLITO Istituto Italiano di Tecnologia INSA Lyon Ecole Centrale de Lyon CNRS Universite Claude Bernard Lyon 1 CPE LyonINL

This work aimed to study the efficiency of the reverse micelle（RM） preparation route in the syntheses of sub-5 nm Fe-doped CeO2nanocrystals for boosting the visible-light-driven photocatalytic hydrogen production from methanol aqueous *** effectiveness of confining precipitation reactions within micellar cages was evaluated through extensive physicochemical cha *** particula r,the nominal composition（0-5 mol% Fe） was preserved as ascertained by ICP-MS analysis,and the absence of separate iron-containing crystalline phases was supported by X-ray *** effective aliovalent doping and modulation of the optical properties were investigated using UV-Vis,Raman,and photoluminescence spectroscopies.2.5 mol% iron was found to be an optimal content to achieve a significant decrease in the band gap,enhance the concentration of oxygen vacancy defects,and increase the charge carrier *** photocatalytic activity of Fe-doped CeO2prepared at different Fe contents with RM preparation was studied and compared with undoped *** optimal iron load was identified to be2.5 mol%,achieving the highest hydrogen production(7566 μmol L-1after 240 min under visible light).Moreover,for comparison,the conventional precipitation（P） method was adopted to prepare iron containing CeO2at the optimal content（2.5 mol% Fe）.The Fe-doped CeO2catalyst prepared by RM showed a significantly higher hydrogen production than that obtained with the sample prepared by the P *** optimal Fe-doped CeO2,prepared by the RM method,was stable for six reuse ***,the role of water in the mechanism of photocatalytic hydrogen evolution under visible light was studied through the test in the presence of *** obtained results evidenced that hydrogen was produced from the reduction of H+by the electrons promoted in the conduction band,while methanol was preferentially oxidized by the photogenerated positive holes.

关键词： Hydrogen evolution Mesoporous CeO2 Photocatalysis Reverse micelles Sub-5 nm Fe-doped CeO2 Visible light

Signalling and Control of Nonlinear Partially Observable Stochastic Systems:Information States, Sufficient Statistics, and Applications

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Journal of Systems Science & Complexity 2025年第01期 271-312页

作者： CHARALAMBOUS Charalambos d. LOUKA Stelios department of Electrical and Computer Engineering University of Cyprus

In this paper the authors consider the operational problem of optimal signalling and control,called control-coding capacity(with feedback), CF B in bits/second, of discrete-time nonlinear partially observable stochastic systems in state space form, subject to an average cost constraint. CF B is the maximum rate of encoding signals or messages into randomized controller-encoder strategies with feedback, which control the state of the system, and reproducing the messages at the output of the system using a decoder or estimator with arbitrary small asymptotic error probability. In the first part of the paper, the authors characterize CF B by an information theoretic optimization problem of maximizing directed information from the inputs to the outputs of the system, over randomized strategies(controller-encoders). The authors derive equivalent characterizations of CF B, using randomized strategies generated by either uniform or arbitrary distributed random variables(RVs), sufficient statistics,and a posteriori distributions of nonlinear filtering theory. In the second part of the paper, the authors analyze CF B for linear-quadratic Gaussian partially observable stochastic systems(LQG-POSSs). The authors show that randomized strategies consist of control, estimation and signalling parts, and the sufficient statistics are, two Kalman-filters and an orthogonal innovations process. The authors prove a semi-separation principle which states, the optimal control strategy is determined explicitly from the solution of a control matrix difference Riccati equation(dRE), independently of the estimation and signalling strategies. Finally, the authors express the optimization problem of CF B in terms of two filtering matrix dREs, a control matrix dRE, and the covariance of the innovations process. Throughout the paper, the authors illustrate that the expression of CF B includes as degenerate cases, problems of stochastic optimal control and channel capacity of information transmiss

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Ecosystem services and legal protection of private *** or solution?

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Geography and Sustainability 2020年第3期1卷 173-180页

作者： Katažyna Mikša Marius Kalinauskas Miguel Inácio eduardo gomes Paulo Pereira Environmental Management Laboratory Mykolas Romeris UniversityVilnius LT-08303Lithuania Institute of International and European Union Law Mykolas Romeris UniversityVilnius LT-08303Lithuania

Ecosystem services(ES)delivery in quantity and quality are essential to improve human ***,often a considerable part of ES provisioning depends on the use of private land(e.g.,flood retention,carbon sequestration,water purification).In this context,the operationalization and implementation of ES concept may collide with legal property ***,it is essential to find constructive mechanisms to engage and encour-age private owners to implement sustainable land uses to reduce the onsite and offsite impacts of their *** paper aims to identify if ES delivery can be constrained by legal private land and how it can be *** is undeniable that land-use changes(e.g.,urbanization,agriculture intensification,and land abandonment)affect the territory’s capacity to deliver ES in quality and *** changes,especially land abandonment,are in-creasing the tradeoffs among ES(e.g.,between carbon sequestration and water yield).Land-use planning should consider these ***,incorporating ES into spatial plans is crucial for stakeholders to understand the impacts of land-use change in the loss of ES *** information can be transmitted through maps that communicate the message in a simplified *** owners can easily perceive the ES relevance that their land can provide if an understandable message is *** this can be a good solution,conflicts can appear even with the implementation of schemes such as Payment for ES(PES).PES is not always effective and can im-pose losses to farmers,disregard their cultural traditions,or not prevent poverty *** this context,it is crucial to consider local specificities to safeguard PES’s success,create a“win-win”and transform a problem into a *** owners’active participation in implementing sustainable practices or a determined land-use in their properties is vital to achieving global targets such as sustainable development goals.

关键词： Ecosystem services Law Private land Sustainability Land-use change

dP/dt_(max):An underestimated prognostic factor in large animal infarction model

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Animal Models and Experimental Medicine 2025年第1期8卷 171-178页

作者： Rita Garamvölgyi dénes Kőrösi OttóTátrai Emőke Bodor dániel Fajtai Kornélia Farkas András Vorobcsuk doctoral School in Animal Science Hungarian University of Agriculture and Life SciencesKaposvárHungary department of Cardiology Kaposi Moritz Teaching HospitalKaposvárHungary Medicopus Nonprofit Ltd. KaposvárHungary Institute of Bioanalysis Medical SchoolUniversity of PécsPécsHungary doctoral School of Clinical Medicine University of PécsPécsHungary

The present study aims to establish a reproducible large animal experimental unit using a minipig model to monitor cardiac function changes.A 90-min closed-chest bal-loon occlusion of the left anterior descending branch of the coronary artery was used to induce myocardial infarction in Pannon *** monitor the cardiac function,measurements were made by cardiac magnetic resonance imaging(cMRI),invasive pressure monitoring,and a Pulse index Continuous Cardiac Output(PiCCO)hemo-dynamic system at 0,72,and 720 h during the follow-up ***-diastolic and end-systolic volumes(EdV,ESV),left ventricular ejection fraction(LVEF)obtained by cMRI evaluation,global ejection fraction and aortic dP/dt_(max)obtained by the invasive method,were recorded and *** 72-and 720-h EdV data showed a signifi-cant increase(p=0.012,d to baseline,and the day 30 data showed a significant increase compared to day 3(p=0.022).The ESV 72 h after the infarction showed a significant increase(p=0.001)compared to baseline,which did not change significantly by day 30(p=0.781)compared to day *** and ESV were signifi-cantly negatively correlated with aortic dp_(max),and ESV was significantly correlated with *** LVEF and dP_(max),a significant(pd p=0.002)worsening was demonstrated at day 3 compared to baseline,which was no longer statistically de-tectable for LVEF at day 30(p=0.141),while the difference for dP_(max)was maintained(p=0.002).The complementary use of PiCCO hemodynamic measurements in large animal models makes the previously used methodologies more robust and reliable.

关键词： dp/dt_(max) hemodynamic measurements infarction model minipig PiCCO

dihydropyrimidine dehydrogenase polymorphisms in patients with gastrointestinal malignancies and their impact on fluoropyrimidine tolerability: Experience from a single Italian institution

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 101-109页

作者： Mariarosaria d'Amato Gennaro Iengo Nicola Massa Chiara Carlomagno department of Oncology Ospedale San Rocco ASL CasertaSessa Aurunca 81037CampaniaItaly department of Clinical Medicine and Surgery University of Naples Federico IINaples 80131CampaniaItaly

BACKGROUNd Fluoropyrimidines are metabolized in the liver by the enzyme dihydropyrimidine dehydrogenase(dPd),encoded by the dPYd *** 7%of the European population is a carrier of dPYd gene polymorphisms associated with reduced dPd enzyme *** To assess the prevalence of dPYd polymorphisms and their impact on fluoropyrimidine tolerability in Italian patients with gastrointestinal *** A total of 300 consecutive patients with a diagnosis of gastrointestinal malignancy and treated with a fluoropyrimidine-based regimen were included in the analysis and divided into two cohorts:(1)149 patients who started fluoropyrimidines after dPYd testing;and(2)151 patients treated without dPYd *** the patients in cohort A,15%tested only the dPYd2A polymorphism,19%tested four polymorphisms(dPYd2A,HapB3,c.2846A>T,and dPYd13),and 66%tested five polymorphisms including *** Overall,14.8%of patients were found to be carriers of a dPYd variant,the most common being dPYd6(12.1%).Patients in cohort A reported≥G3 toxicities(P=0.00098),particularly fewer nonhematological toxicities(P=0.0028)compared with cohort B,whereas there was no statistically significant difference between the two cohorts in hematological toxicities(P=0.6944).Significantly fewer chemotherapy dose reductions(P=0.00002)were observed in cohort A compared to cohort B,whereas there was no statistically significant differences in chemotherapy *** Although this study had a limited sample size,it provides additional information on the prevalence of dPYd polymorphisms in the Italian population and highlights the role of pharmacogenetic testing to prevent severe toxicity.

关键词： dihydropyrimidine dehydrogenase dPYd polymorphisms Fluoropyrimidine Caucasian population Gastrointestinal cancers

Machine learning empowers efficient design of ternary organic solar cells with PM6 donor

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Journal of Energy Chemistry 2025年第1期100卷 337-347页

作者： Kiran A.Nirmal Tukaram d.dongale Santosh S.Sutar Atul C.Khot Tae Geun Kim School of Electrical Engineering Korea UniversityAnam-ro 145Seongbuk-guSeoulRepublic of Korea Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India Yashwantrao Chavan School of Rural development Shivaji UniversityKolhapur 416004India

Organic solar cells(OSCs) hold great potential as a photovoltaic technology for practical ***, the traditional experimental trial-and-error method for designing and engineering OSCs can be complex, expensive, and time-consuming. Machine learning(ML) techniques enable the proficient extraction of information from datasets, allowing the development of realistic models that are capable of predicting the efficacy of materials with commendable accuracy. The PM6 donor has great potential for high-performance OSCs. However, it is crucial for the rational design of a ternary blend to accurately forecast the power conversion efficiency(PCE) of ternary OSCs(TOSCs) based on a PM6 ***, we collected the device parameters of PM6-based TOSCs and evaluated the feature importance of their molecule descriptors to develop predictive models. In this study, we used five different ML algorithms for analysis and prediction. For the analysis, the classification and regression tree provided different rules, heuristics, and patterns from the heterogeneous dataset. The random forest algorithm outperforms other prediction ML algorithms in predicting the output performance of PM6-based TOSCs. Finally, we validated the ML outcomes by fabricating PM6-based TOSCs. Our study presents a rapid strategy for assessing a high PCE while elucidating the substantial influence of diverse descriptors.

关键词： Machine learning Ternary organic solarcells PM6 donor PCE