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The Bioremediation of Industrial Effluents byPhanerochaete chrysosporium: The COD, TOC Removal Efficiency and Biochemical Assessment forDreissena polymorpha

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ChemistrySelect 2024年第14期9卷

作者： Assoc. Prof. Dr. Osman Serdar Prof. Dr. Numan Yıldırım Assoc. Prof. Dr. Gokhan Onder Erguven Zozan Ketenalp Prof. Dr. Nuran Cikcikoglu Yildirim Dr. Barbaros Durmus Basic Sciences of Aquatic Products Munzur University Turkey Department of Plant and Animal Production Munzur University Turkey Department of Urbanization and Environmental Issues Munzur University Turkey Department of Environmental Engineering Munzur University Turkey Department of Veterinary Medicine Laboratory and Veterinarian Health Program Munzur University Turkey Department of Environmental Engineering Firat University Turkey

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PDMS Flow Sensors With Graphene Piezoresistors Using 3D-Printing and Soft Lithography

PDMS Flow Sensors With Graphene Piezoresistors Using 3D-Prin...

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IEEE SENSORS

作者： Amar M. Kamat Bayu Jayawardhana Ajay G.P. Kottapalli Advanced Production Engineering (APE) Group University of Groningen Groningen the Netherlands Discrete Technology & Production Automation (DTPA) Group University of Groningen Groningen the Netherlands MIT Sea Grant College Program Massachusetts Institute of Technology (MIT) Cambridge United States

ISBN: (数字)9781728168012

ISBN: (纸本)9781728168029

This paper reports the fabrication and characterization of a flexible piezoresistive flow sensor comprising a polydimethylsiloxane (PDMS) cantilever with a serpentine graphene nanoplatelets (GNP) strain gauge embedded at the cantilever base. A facile and cleanroom-free processing work flow involving a combination of high-resolution powder bed fusion and soft lithography was used to fabricate PDMS cantilevers (aspect ratio 20) with 150 μm × 150 μm microchannels on its surface. A high gauge factor of 55 (up to 5 times higher than reported in comparable piezoresistive flow sensors) was achieved using drop- casted GNP ink as the piezoresistive sensing element in the aforementioned microchannels. Finally, the use of the PDMS- graphene cantilever as an airflow sensor with enhanced sensitivity (20 times more than comparable piezoresistive cantilever sensors), low hysteresis, good repeatability, and bidirectional sensing capability was demonstrated.

关键词： Sensors Piezoresistance Strain measurement Economic indicators Graphene Strain Sensitivity

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Multi-objective model for end-of-life tires reverse logistics: Enhancing sustainability through a techno-political framework

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Expert Systems with Applications 2025年 291卷

作者： Ignacio Castañeda-Rodríguez Andrea Teresa Espinoza Pérez University of Santiago of Chile (USACH) Faculty of Engineering Program for the Development of Sustainable Production Systems (PDSPS) Santiago Chile University of Santiago of Chile (USACH) Faculty of Engineering Industrial Engineering Department Av. Víctor Jara 3769 Santiago 9170124 Estación Central Chile Université de Lorraine ERPI Nancy F-54000 France University of Technology Sydney 61 Broadway Str Sydney NSW 2007 Australia

The management of End-of-Life Tires (ELT) presents a growing concern about environmental pollution that has led to a tightening of legislation worldwide. One approach gaining attention is Extended Producer Responsibility (EPR), which makes producers responsible for the life-cycle management of their products. This work introduces a multi-objective optimization model that supports decision-making through the integration of a techno-political framework to enhance traditional sustainability assessment, studying the impact of introducing collection goals, valuation quotas and emerging valorization technologies. A Chilean case study is presented considering the implementation of pyrolysis plants for the recycling of ELT under the regulatory framework of the EPR Law. The results show that introducing political and technological parameters and variables into economic, environmental, and social objectives facilitates convergence towards a solution, despite the initial opposition of the objectives. Applying the ϵ -constraint method allows to find profitable alternatives for this project. However, those solutions that further reduce the gap and achieve a balance between the three objectives tend to produce negative economic outcomes, suggesting that fully sustainable scenarios may not be economically feasible. Sensitivity analyses highlight the trade-offs involved in balancing economic feasibility in sustainable scenarios with technological and regulatory measures. Considering all the above, it is necessary to strengthen regulatory policies that support reverse logistics, ELT recovery technologies, and the development of decentralized ELT management systems. Lastly, modifications in the collection goals, robust optimization for dealing with uncertainty, and multiple recycling technologies assessment are suggested as future guidelines.

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Ultrasound-assisted dilute acid medium of oil palm residues toward morphological and thermal properties

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AIP Conference Proceedings 2024年第1期3132卷

作者： Sylvia Madusari Yazid Bindar Tirto Prakoso Noor Ida Amalina Ahamad Nordin Saidatul Shima Jamari Faculty of Chemical and Process Engineering Technology College of Engineering Technology University Malaysia Pahang 26300 Gambang Kuantan Pahang Malaysia Production Technology of Plantation Crop Program Politeknik Kelapa Sawit Citra Widya Edukasi 17520 West Java Indonesia Department of Chemical Engineering Institut Teknologi Bandung 40132 West Java Indonesia Department of Bioenergy and Chemurgy Engineering Institut Teknologi Bandung Kampus Jatinangor 45363 West Java Indonesia

Biomass is widely recognized as an essential source of renewable energy. The most abundant organic resources in the plantation field are oil palm frond (OPF) and trunk (OPT). These lignocellulose biomaterials are rich in renewable biobased products. The recalcitrance of oil palm biomass directly linked with the cellulose, hemicellulose, and lignin structure remains a challenge. The pretreatment process is still a consideration because the recalcitrant lignocellulose structure prevents depolymerization from releasing the appropriate substrate to a new approach. This study is aimed to characterize the oil palm frond and trunk pretreated by a combination of ultrasonication with a dilute sulfuric acid medium. This study considers the morphological and thermal characteristics intending to explore their future potential application. The procedure in this research was that the raw OPF and OPT were weighed and transferred into a 1000 ml beaker containing a low acid concentration of H2SO4 in the ratio of 1: 25. The deionized water (DW) was used as a control. The mixture was stirred and incubated in an ultrasonic bath for 30 minutes at an ultrasonic frequency of 40 kHz and an ambient temperature of 80°C. The operating time and power were set at the start of the pretreatment. The ultrasonicated materials were characterized by Scanning Electron Microscope (SEM) and Thermogravimetric Analysis (TG-STA). The results demonstrated that the yield percentages of OPT's ultrasound-assisted low sulfuric acid (ULSA) are about 10% higher than the deionized water pretreatment. SEM results showed that the ULSA pretreatment of OPF and OPT revealed a significant disruption of their surface structures. The DTG analysis revealed that the maximum temperature degradation of ULSA pretreatment is shifted to a higher temperature than the raw material, which is 273.43℃ for OPF and 265.15 for OPT to 314.43℃ for ULSA-OPF (SOPF) and 318.88℃ ULSA-OPT (SOPT). The thermogravimetric data indicates that the U

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A new Normalized Index for Ranking Papers in Systematic Literature Reviews

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Decision Analytics Journal 2024年 10卷

作者： Steffen, Vilmar de Oliveira, Maiquiel Schmidt Brusamarello, Claiton Zanini Trojan, Flavio Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil

The number of journals, and consequently the number of papers, has grown significantly, which makes it necessary to use suitable tools in systematic literature reviews. Several methodologies have been proposed for this purpose, and one of these methods is the index calculation used to rank the papers in order of importance. This study proposes a new index called the Normalized Index for Ranking Papers to rank the papers in a systematic literature review, which is considered mainly indicators provided by the Centre for Science and Technology Studies journal indicators. For this index calculation, importance weights are assigned by the researchers, and the indicators used in the index are normalized. For ranking the final portfolio, the proposed method considers a weighted average of indicators (impact factors) in which the paper was published and a value that represents approximately the number of citations per year. The journal self-citation index benefits the journals with lower self-citation practices. A Systematic Literature Review (SLR) was carried out to analyze the final portfolio's results involving Multi-criteria Decision Analysis in airports. The indicators normalization enables the importance of each metric to be decided by the researcher according to the choice of the weights, not by the difference in the indicators’ magnitude. The importance of an article can be proved initially by the journal indicators in which the paper was published and by citations per year. © 2024 The Authors

关键词： Importance weight Journal indicator Multiple criteria Normalized Index for Ranking Papers Rank index Systematic Literature Review

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3D imaging lipidometry in single cell by in-flow holographic tomography

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Opto-Electronic Advances 2023年第1期6卷 10-25页

作者： Daniele Pirone Daniele Sirico Lisa Miccio Vittorio Bianco Martina Mugnano Danila del Giudice Gianandrea Pasquinelli Sabrina Valente Silvia Lemma Luisa Iommarini Ivana Kurelac Pasquale Memmolo Pietro Ferraro CNR-ISASI Institute of Applied Sciences and Intelligent Systems“E.Caianiello”Via Campi Flegrei 34PozzuoliNapoli 80078Italy Department of Electrical Engineering and Information Technologies University of Naples“FedericoⅡ”via Claudio 21Napoli 80125Italy Department of Chemical Materials and Production Engineering of the University of Naples FedericoⅡPiazzale Tecchio 80Napoli 80125Italy Department of Mathematics and Physics University of Campania“Luigi Vanvitelli”Caserta 81100Italy Biotechnology and Methods in Laboratory Medicine Department of ExperimentalDiagnostic and Specialty Medicine(DIMES)University of BolognaBologna 40126Italy Subcellular Nephro-Vascular Diagnostic Program Pathology Unit S.Orsola IRCCSUniversity of BolognaBologna 40126Italy Unit of Medical Genetics Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Study and Research Center on Gynecological Neoplasias Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Center for Applied Biomedical Research(CRBA) University of BolognaBologna 40138Italy Department of Pharmacy and Biotechnology(FABIT) University of BolognaBologna 40126Italy

The most recent discoveries in the biochemical field are highlighting the increasingly important role of lipid droplets(LDs)in several regulatory mechanisms in living *** are dynamic organelles and therefore their complete characterization in terms of number,size,spatial positioning and relative distribution in the cell volume can shed light on the roles played by *** now,fluorescence microscopy and transmission electron microscopy are assessed as the gold standard methods for identifying LDs due to their high sensitivity and ***,such methods generally only provide 2D assays and partial ***,both can be destructive and with low productivity,thus limiting analysis of large cell numbers in a *** we demonstrate for the first time the capability of 3D visualization and the full LD characterization in high-throughput with a tomographic phase-contrast flow-cytometer,by using ovarian cancer cells and monocyte cell lines as models.A strategy for retrieving significant parameters on spatial correlations and LD 3D positioning inside each cell volume is *** information gathered by this new method could allow more in depth understanding and lead to new discoveries on how LDs are correlated to cellular functions.

关键词： lipid droplets label-free phase-contrast imaging in-flow tomography 3D imaging

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Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

SSRN

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SSRN 2024年

作者： Soares, Mauricio Fornalski Nunes, Romulo Félix Siqueira, Tirzah Moreira Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva She, Dongli Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul Pelotas96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo São Paulo Piracicaba Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do Leão96010-900 Brazil College of Agricultural Sciences and Engineering Hohai University Nanjing210098 China Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Ri o Grande do Sul CEP Capão do Leão96010-900 Brazil

Saturated hydraulic conductivity (KSat) is a key soil attribute that influences hydrological processes at multiple scales. It is well known that KSat is difficult to measure in the field. Field KSat measurement requires time and expensive equipment, skilled labor, and due to the variability of KSat, many samples are required. Artificial neural networks (ANNs) are powerful non-linear mathematical models that can estimate KSat from different soil and environmental input variables as well as using dimensionless variables generated using database resizing techniques via principal component analysis (PCA). Our main goal is to construct artificial neural network models for predicting KSat using soil and different land uses as input variables at a watershed scale. The study area is the Eller Creek watershed of about 0.7 km2 in southern Brazil, in which we established an experimental grid of 178 sampling points. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original dataset and two selected PCs were included as input variables for ANN modeling. Our results suggest that PC inclusion as input parameters, collectively or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models using only the original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated with soil hydrological and environmental covariates, but also to PCs which are orthogonal linear recombinations that encapsulate the main sources of variation of the original datasets. © 2024, The Authors. All rights reserved.

关键词： Soils

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A multiobjective genetic approach with TOPSIS to learn fuzzy rule-based classification systems 8

A multiobjective genetic approach with TOPSIS to learn fuzzy...

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8th Brazilian Conference on Intelligent Systems, BRACIS 2019

作者： De Oliveira Araujo, Antonio Eloy Krohling, Renato Antonio Graduate Program in Computer Science PPGI Federal University of Espirito Santo - UFES Vitoria ES Brazil Production Engineering Department LABCin and Graduate Program in Computer Science PPGI Federal University of Espirito Santo - UFES Vitoria ES Brazil

ISBN: (纸本)9781728142531

The design of a Fuzzy Rule-Based Classification System (FRBCS) taking into account accuracy and interpretability (number of rules) of the FRBCS is an important issue. In this paper, we extend our previous work by considering the average number of fuzzy labels per input variable as a new objective to be treated with TOPSIS. In addition, we employ information entropy to determine the weights of the evaluation criteria. We compare our proposal with a method that deals with the accuracy-interpretability tradeoff by means of a multiobjective evolutionary process based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The obtained results show the effectiveness of the proposed approach. © 2019 IEEE.

关键词： Multiobjective optimization

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Group Decision Model for Logistic Performance Analysis: a parallel between contracting and outsourced companies

Group Decision Model for Logistic Performance Analysis: a pa...

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Decision Aid Sciences and Application (DASA), International Conference on

作者： Tarsila Rani Soares de Vasconcelos Marcele Elisa Fontana José Leão Postgraduate Program in Production Engineering of Agreste Academic Center (PPGEP-CAA) Universidade Federal de Pernambuco (UFPE) Caruaru Brazil Universidade Federal de Pernambuco (UFPE) Caruaru Brazil

ISBN: (数字)9781728196770

ISBN: (纸本)9781728196787

Business logistics have an undeniable strategic importance and organizations can reach new markets and improve service levels for their customers by outsourcing. To maximize the benefits of the relationship between a shipper (i.e. logistics buyer) and a logistics provider, an alignment of goals and objectives is required. Thus, this paper developed a model that connects the perceptions of both parties. The model was based on the trade-off matrix, the priority matrix, and the importance-performance analysis matrix. A case study was adopted, considering two companies located in Caruaru-PE, Brazil. This case study highlights the divergent perceptions between the companies studied and how the proposed methodology can help in directing actions that create synergy in the supply chain.

关键词： Companies Supply chains Transportation Performance evaluation Outsourcing Decision making Analytical models

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Innoframe: A project and portfolio management multilayer framework to support innovation-driven SMEs 4

Innoframe: A project and portfolio management multilayer fra...

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4th International Conference on Quality engineering and Management, ICQEM 2020

作者： Tereso, A.P. Mishly, M.A. Production and Systems Department Centre ALGORITMI University of Minho Campus of Azurém Guimarães4804-533 Portugal Doctoral Program in Industrial and Systems Engineering University of Minho Campus of Azurém Guimarães4804-533 Portugal SchemaZone 18 Yonge Street TorontoONM5E 1Z8 Canada

ISBN: (纸本)9789895491100

Purpose - The purpose of this research was to discover what frameworks for project, portfolio, and innovation management there are and if necessary to propose a new framework useful for SMEs of the construction and building materials industry. Design/methodology/approach - The methodology used in this research was the case study, in which the Canadian construction and building materials industry was selected. The research was based on literature review, interviews, group discussion and survey. Findings - Although there are currently many frameworks available for the three management areas (project, portfolio and innovation), research has shown that a framework that helps companies to follow an approach that supports their business at these three levels is lacking. Originality/value - Innoframe is a new framework for project, portfolio, and innovation management that incorporates a pipeline and two phases as well as a performance management matrix, that can be used for project and portfolio management, to support innovation-driven SMEs. © 2020 Universidade do Minho. All rights reserved.

关键词： Framework Innovation Portfolio management Project management

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