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The impact of energy transition policies on real estate efficiency and renewable energy communities (rECs): An analysis of public awareness and final energy uses in Italy

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Solar Energy Advances 2025年 5卷

作者： Tarpani, Elena Castaldo, Veronica Lucia Pigliautile, Ilaria Pioppi, Benedetta Cilio, debora Zulianello, Matteo Pisello, Anna Laura Cotana, Franco EAPLAB Environmental Applied Physics Lab at CIRIAF Interuniversity Research Centre of Pollution and Environment Mauro Felli University of Perugia Italy RSE S.p.A. – Ricerca sul Sistema Energetico Via Raffaele Rubattino 54 Milano 20134 Italy Department of Engineering University of Perugia Italy EValTech – R&D division of Valeri Engineering and Management s.r.l Italy

The Green deal seeks to achieve carbon neutrality by 2050, positioning building operations and renewables promotion as a critical focus areas. renewable Energy Communities (rECs) have emerged as a key driver of this transformation. In Italy, several policies have been introduced to promote their development;however, their impacts remain underexplored. This study examines the efficiency of real estate, the proliferation of rECs, and public perceptions related to these initiatives through a survey distributed at national level achieving 149 respondents. Findings reveal that 58 % of assessed buildings had undergone retrofit interventions, predominantly aimed at reducing energy bills. Furthermore, 46 % of respondents acknowledged the essential role of incentives in driving these changes, while 73 % of users reported modifications to their energy behaviours. Overall, occupants of retrofitted buildings and rECs participants demonstrated greater awareness of energy topics. These results underscore the critical importance of policy incentives in accelerating the energy transition and stress the need for targeted communication campaigns to enhance public awareness and engagement, so achieving the broader goal of carbon neutrality. © 2025

关键词： Building retrofit Energy policies and technologies Energy transition goals Energy uses Public awareness renewable energy communities

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Adversarial Artifact removal: A GAN-Based Framework for Enhanced Image Quality and reliability

Adversarial Artifact Removal: A GAN-Based Framework for Enha...

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Pournima Pande M. Misba deepak Gupta V.Kanpur rani Hassan Safi Ahmed A. Balakumar Department of Applied Chemistry Yeshwantrao Chavan College of Engineering Nagpur India Department CSE (AI&ML) Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Mechanical Engineering Graphic Era Hill University Dehradun Uttarakhand India Department of Mechanical Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of EEE Hindustan Institute of Technology and Science Chennai India Department of Biomedical Engineering Al-Farahidi University Baghdad Iraq Department of ECE K.Ramakrishnan College of Engineering Trichy India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

Artifacts in images are significant challenges in many fields and degrade the quality and reliability of data analysis. Existing methods for artifact removal face a problem of complex and diverse artifacts, limiting their effectiveness. Traditional techniques for removing artifacts have a problem with low adaptability to different types of artifacts and can sometimes delete important features of an image. The artifact removal method takes the concept of GANs into use to remove artifacts within the adversarial training model from images. It rectifies the issues stated previously through the proposed approach based on training a GAN. The G learns artifact-free versions of the images and the d tells them clean or corrupted ones while the G continues its progression towards artifact removal guided by d. Once it was trained, G had completely removed artifacts in novel unseen images. results prove the superiority of this proposed artifact removal compared with existing approaches across a spectrum of datasets including different forms of artifacts: noise compression, and occlusion results of removing such different kinds of artifacts without sacrificing much the image quality along with preserving other critical features that need removal. Adversarial removal artifacts can be taken as one such error value 112.31 solution in making an improved version of enhancing quality as well as reliability of the image while making applications over the range.

关键词： Training Image quality deep learning Limiting Image coding data analysis Noise Generative adversarial networks Software reliability Faces

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A drug-eluting balloon catheter coated with chitosan and paclitaxel-loaded poloxamer-stabilized PLA microparticles for the effective treatment of cholangiocarcinoma

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Journal of Industrial and Engineering Chemistry 2025年

作者： Lee, Jin Sil Jang, Jaehee Oh, Hyeryeon Lee, Eunhye Lee, don Haeng Son, Panmo Sung, daekyung Choi, Won Il Center for Bio-Healthcare Materials Bio-Convergence Materials R&D Division Korea Institute of Ceramic Engineering and Technology 202 Osongsaengmyeong 1-ro Osong-eup Heungdeok-gu Chungbuk Cheongju28160 Korea Republic of Daegu41061 Korea Republic of R&D Division NEXTBIOMEDICAL CO. LTD. 6 Venture-ro 100 beon-gil Yeonsu-gu Incheon22013 Korea Republic of School of Integrative Engineering Chung-Ang University Seoul06974 Korea Republic of School of Materials Science and Engineering Gwangju Institute of Science and Technology Cheomdan-gwagiro 123 Buk-gu Gwangju61005 Korea Republic of Division of Gastroenterology Department of Internal Medicine Inha University Hospital Inha University School of Medicine Incheon22332 Korea Republic of Department of Applied Bioengineering of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of

Liver cancer is one of the most common causes of death, and cholangiocarcinoma (CCA) is the second most common type, usually treated with surgical resection;however, the resectable area is often small, leading to high recurrence. Balloon catheter insertion has been used to alleviate primary CCA symptoms. However, current drug-eluting balloon catheters are unable to provide continuous drug release, resulting in short-term effects and insufficient tumor suppression. Therefore, drug delivery systems and mucoadhesive polymers in drug-eluting balloon catheters have been proposed as alternatives. In this study, we developed paclitaxel (PTX)-loaded, poloxamer-stabilized PLA microparticles (PTX@PPMP) with high drug-loading capacity. We then created a PTX@PPMP-coated balloon catheter using mucoadhesive chitosan (PBCC) through spraying. PTX@PPMP particles were micron sized (1000–1400 nm), exhibited good colloidal stability, and enabled sustained pH-dependent drug release. In CCA cancer cell lines, PPMP did not exhibit significant cytotoxicity, and PTX@PPMP demonstrated an anticancer effect comparable to PTX, even though it had a 16-fold lower efficacy compared to PTX dose. Furthermore, in a xenograft model, the PBCC membrane dose-dependently inhibited the tumor volume without causing acute toxicity. These results indicate that the PBCC, as a novel drug-coated balloon catheter, can improve CCA chemotherapy and have further roles in balloon catheters applications. © 2025 The Korean Society of Industrial and Engineering Chemistry

关键词： Chitosan

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Quantum algorithm for partial differential equations of nonconservative systems with spatially varying parameters

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Physical review applied 2025年第1期23卷 014063-014063页

作者： Yuki Sato Hiroyuki Tezuka ruho Kondo Naoki Yamamoto Toyota Central R&D Labs. Inc. 1-4-14 Koraku Bunkyo-ku Tokyo 112-0004 Japan Quantum Computing Center Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan Advanced Research Laboratory Research Platform Sony Group Corporation 1-7-1 Konan Minato-ku Tokyo 108-0075 Japan Department of Applied Physics and Physico-Informatics Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan

Partial differential equations (PdEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineering (CAE), the ability to handle fine resolutions and large computational models is essential for improving product performance and reducing development costs. However, solving large-scale PdEs, particularly for systems with spatially varying material properties, poses significant computational challenges. In this paper, we propose a quantum algorithm for solving second-order linear PdEs of nonconservative systems with spatially varying parameters, using the linear combination of the Hamiltonian simulation (LCHS) method. Our approach transforms those PdEs into ordinary differential equations represented by qubit operators, through spatial discretization using the finite-difference method. Then, we provide an algorithm that efficiently constructs the operator corresponding to the spatially varying parameters of PdEs via a logic minimization technique, which reduces the number of terms and subsequently the circuit depth. We also develop a scalable method for realizing a quantum circuit for LCHS, using a tensor-network-based technique, specifically a matrix product state (MPS). We validate our method with applications to the acoustic equation with spatially varying parameters and the dissipative heat equation. Our approach includes a detailed recipe for constructing quantum circuits for PdEs, leveraging efficient encoding of spatially varying parameters of PdEs and scalable implementation of LCHS, which we believe marks a significant step towards advancing quantum computing’s role in solving practical engineering problems.

关键词： Hamiltonians

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α,α’-dibromo-p-xylene crosslinked MOF-5/polybenzimidazole mixed matrix membranes for organic solvent nanofiltration

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Separation and Purification Technology 2025年 373卷

作者： Ajebe, Eyasu Gebrie Hu, Chien-Chieh Habte, Biadglign Ayalneh Wang, Chih-Feng Hung, Wei-Song Wu, Shao-Jung Lee, Kueir-rarn Lai, Juin-Yih Graduate Institute of Applied Science and Technology Advanced Membrane Materials Research Center National Taiwan University of Science and Technology Taipei10607 Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung804 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City243 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan Chungli32003 Taiwan

Advanced mixed matrix membranes (MMMs) for high-performance organic solvent nanofiltration (OSN) were developed by incorporating porous MOF-5 nanoparticles into a polybenzimidazole (PBI) matrix, utilizing α,α’-dibromo-p-xylene (dBX) as a cross-linker to enhance chemical stability. The fabricated membranes were thoroughly characterized using scanning electron microscopy (SEM), attenuated total reflection Fourier transform infrared spectroscopy (ATr-FTIr), water contact angle measurements, zeta potential analysis, X-ray photoelectron spectroscopy (XPS), and mechanical property testing. Incorporation of MOF-5 into the PBI matrix improved solvent permeance, though a slight decrease in methyl blue dye rejection was noted. Further increases in MOF-5 loading resulted in reduced permeance, likely due to pronounced nanoparticle agglomeration within the membrane structure. The optimal MOF-5 loading was identified as 4 wt%. Notably, the crosslinked MMM achieved a methyl blue rejection of 99.90% and a permeance of 15.8 LMH/bar in an acetone environment. In addition, both pristine PBI and crosslinked MMMs were evaluated under neutral and basic aqueous conditions, where the crosslinked PBI membrane exhibited excellent stability in aggressive solvents while maintaining separation performance at elevated pH levels. The crosslinked MMM also demonstrated significant fouling resistance, sustaining its OSN performance during continuous testing over a 120-hour period. © 2025 Elsevier B.V.

关键词： Fourier transform infrared spectroscopy

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Parallel Implementations of digital Focus Indices Based on Minimax Search Using Multi-Core Processors

Parallel Implementations of Digital Focus Indices Based on M...

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作者： Kim, HyungTae Lee, duk-Yeon Choi, dongwoon Kang, Jaehyeon Lee, dong-Wook Digital Transformation R&D Department Korea Institute of Industrial Technology Ansan Gyeonggi15588 Korea Republic of Applied Robot R&D Department Korea Institute of Industrial Technology Ansan Gyeonggi15588 Korea Republic of

A digital focus index (dFI) is a value used to determine image focus in scientific apparatus and smart devices. Automatic focus (AF) is an iterative and time-consuming procedure;however, its processing time can be reduced using a general processing unit (GPU) and a multi-core processor (MCP). In this study, parallel architectures of a minimax search algorithm (MSA) are applied to two dFIs: range algorithm (rA) and image contrast (CT). The dFIs are based on a histogram;however, the parallel computation of the histogram is conventionally inefficient because of the bank conflict in shared memory. The parallel architectures of rA and CT are constructed using parallel reduction for MSA, which is performed through parallel relative rating of the image pixel pairs and halved the rating in every step. The array size is then decreased to one, and the minimax is determined at the final reduction. Kernels for the architectures are constructed using open source software to make it relatively platform independent. The kernels are tested in a hexa-core PC and an embedded device using Lenna images of various sizes based on the resolutions of industrial cameras. The performance of the kernels for the dFIs was investigated in terms of processing speed and computational acceleration;the maximum acceleration was 32.6× in the best case and the MCP exhibited a higher performance. Copyright © 2023 KSII.

关键词： Iterative methods

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determining the impact of new particle formation events on cloud condensation nuclei (CCN) concentrations

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Science of the Total Environment 2025年 972卷 179094页

作者： Casans, A. Casquero-Vera, J.A. rejano, F. Lyamani, H. Cazorla, A. Zabala, I. Huang, W. Agro’, M. Barreto, A. rodríguez, S. González, Y. Bianchi, F. Petäjä, T. Olmo, F.J. Alados-Arboledas, L. Cariñanos, P. Gysel-Beer, M. Titos, G. Andalusian Institute for Earth System Research IISTA University of Granada Granada18006 Spain Department of Applied Physics University of Granada Granada18071 Spain GRASP-SAS Remote Sensing Developments LOA/Université de Lille-1 D'Ascq Villeneuve59655 France Department of Applied Physics University of Málaga Málaga29010 Spain /Physics Faculty of Science University of Helsinki Finland Laboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen PSI5232 Switzerland Izaña Atmospheric Research Center Agencia Estatal de Meteorología Santa Cruz de Tenerife Spain Consejo Superior de Investigaciones Científicas IPNA CSIC La Laguna Tenerife Spain Department of R&D CIMEL Electronique Paris75011 France Department of Botany University of Granada Granada18071 Spain Paul Scherrer Institute PSI Center for Energy and Environmental Sciences Villigen PSI5232 Switzerland

Atmospheric aerosol particles act as cloud condensation nuclei (CCN) and play a crucial role in the climate system and hydrological cycle. New particle formation (NPF) events are a significant source of CCN, though their global contribution to the CCN budget remains uncertain. We propose a novel method to estimate the direct contribution of NPF events to CCN concentrations, distinguishing between NPF-generated particles and background or transported aerosols. Previous methods estimated CCN concentration enhancements by comparing CCN concentration at different times periods (during or after NPF events with CCN concentrations prior to the events or with non-event days). Our method overcomes this limitation by focusing on the ceiling size that newly formed particles can reach, the timing of NPF events, and isolating the NPF mode from the overall aerosol size distribution. The method was developed using size-resolved CCN measurements at the Sierra Nevada Station (SNS) in southeastern Spain (2500 m a.s.l.). We demonstrate that the method is also applicable to polydisperse CCN measurements, showing consistency across both variants. Additionally, it has been applied to NPF events at the Izaña Observatory (IZO) in Tenerife (Canary Islands, 2367 m a.s.l.). Both SNS and IZO frequently experience NPF events, though their environmental and aerosol characteristics differ, providing insights into the advantages and limitations of the method. Comparison between the two sites reveals that the mean NPF contribution to CCN is 6.2 ± 4.8 % (IQr = 9 %) at SNS and 24 ± 25 % (IQr = 28 %) at IZO. The higher NPF contribution at IZO is attributed to the ability of newly formed particles to grow to larger sizes and the presence of fewer transported boundary layer particles acting as CCN. Both sites show significant variability in the NPF contribution percentage due to the distinct characteristics of each NPF event. © 2025 The Authors

关键词： Budget control

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Empirical correlations for predicting the self-leveling behavior of debris bed

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Nuclear Science and Techniques 2013年第1期24卷 43-52页

作者： CHENG Songbai YAMANO Hidemasa SUZUKI Tohru TOBITA Yoshiharu NAKAMUrA Yuya ZHANG Bin MATSUMOTO Tatsuya MOrITA Koji Advanced Nuclear System R&D Directorate Japan Atomic Energy Agency (JAEA) Department of Applied Quantum Physics and Nuclear Engineering Kyushu University

Studies on the self-leveling behavior of debris bed are crucial for the assessment of core-disruptive accident (CdA) occurred in sodium-cooled fast reactors (SFr). To clarify this behavior over a comparatively wider range of gas velocities, a series of experiments were performed by injecting nitrogen gas uniformly from a pool bottom. Current experiments were conducted in a cylindrical tank, in which water, nitrogen gas and different kinds of solid particles, simulate the coolant, vapor (generated by coolant boiling) and fuel debris, respectively. Based on the quantitative data obtained (mainly the time variation of bed inclination angle), with the help of dimensional analysis technique, a set of empirical correlations to predict the self-leveling development depending on particle size, particle density and gas injection velocity was proposed and discussed. It was seen that good agreement could be obtained between the calculated and experimental values. rationality of the correlations was further confirmed through detailed analyses of the effects of experimental parameters such as particle size, particle density, gas flow rate and boiling mode. In order to facilitate future analyses and simulations of CdAs in SFrs, the obtained results in this work will be utilized for the validations of an advanced fast reactor safety analysis code.

关键词：自流平行为模拟冷却水预测气体速度注入氮气粒子密度实验值

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Spontaneous formation and oxidation of metal-phenolic networks by zinc oxide: Expanding photoprotection and suppressing photoreactivity

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Chemical Engineering Journal 2025年 515卷

作者： Choi, Saehan rahman, rafia Tasnim Kim, Jeonga Kang, Juyeon Shin, Kyounghee Kim, Minkyoung Lee, KwangHo Cho, EunAe Kim, Jin Woong Shim, Jongwon Nam, Yoonsung Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of Department of Applied Chemistry Dongduk Women's University Seoul02748 Korea Republic of R&D Center Sunjin Beauty Science Co. Ltd. Seoul08588 Korea Republic of School of Chemical Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Biological Sciences Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

Wide-bandgap metal-oxide nanoparticles are promising candidates for broad-spectrum sunscreens, yet their application is limited by photocatalytic activity and insufficient high-energy visible (HEV) light absorption. Here, we report a simple, scalable one-pot strategy for the spontaneous formation of a metal-phenolic network (MPN) on zinc oxide (ZnO) nanoparticles (ZnO/MPN NPs), utilizing intrinsic Zn2+ ion release from ZnO to initiate tannic acid (TA) complexation and in situ oxidation. This process forms a nanoscale MPN layer on the ZnO surface, while ZnO-mediated TA oxidation and dimerization (inspired by natural fruit browning) enhance electron delocalization, extending light absorption to the HEV region. The resulting browned MPN-coated ZnO nanoparticles (ZnO/MPN-B NPs) exhibited approximately a threefold enhancement in both sun protection factor (SPF) and UVA protection factor (UVAPF) compared to uncoated ZnO NPs. Additionally, the MPN layer effectively suppresses over 99 % of photogenerated reactive oxygen species (rOS) through its intrinsic rOS scavenging properties, significantly improving photostability. Cell viability assays further demonstrate that the MPN layer mitigates photoinduced cytotoxicity, supporting the safety and biocompatibility of these hybrids. This study suggests ZnO/MPN-B NPs as eco-friendly, high-performance candidates for next-generation sunscreen formulations, offering a scalable, efficient route to address the dual challenges of photoprotection and safety in inorganic sunscreen agents. © 2025 Elsevier B.V.

关键词： Oxidation

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Microstructural, thermal analysis, and gamma-ray shielding properties of bricks made of various local natural materials

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radiation Physics and Chemistry 2025年

作者： Kaika, Yahaya Khalid Umaru, Ibrahim Idris, Muhammad Mustapha rilwan, U. Guto, Jibrin Ahmed Sayyed, M.I. Maisalatee, A.U. Mundi, Abdullahi Abubakar Mahmoud, K.A. Department of Physics Faculty of Natural and Applied Sciences Nasarawa State University P.O. Box 1022 Keffi Nasarawa State Nigeria Department of Physics Faculty of Natural and Applied Sciences Nigerian Army University P.O. Box 1500 Biu Borno State Nigeria Department of Building Faculty of Environmental Nigerian Army University P.O. Box 1500 Biu Borno State Nigeria Renewable Energy and Environmental Technology Center University of Tabuk Tabuk47913 Saudi Arabia Department of Physics Faculty of Sciences Isra University Amman Jordan Department of Basic Science Faculty of Natural and Applied Sciences and Agriculture Phoenix University Nasarawa State Agwada Nigeria R&D Office Vice Presidency for Scientific Research and Innovation Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia P.O. Box 1982 Dammam31441 Saudi Arabia Ural Federal University 19 Mira St Yekaterinburg620002 Russia Department of Physics and Technical Sciences Western Caspian University Baku Azerbaijan

In this study, we prepared five brick samples based on clay (C), granite (G), laterite (L), basalt (B) and assessed their radiation shielding performances. The densities of the bricks were calculated by dividing the mass of each sample by their volumes. The X-ray diffraction (Xrd), scanning electron microscopy (SEM), energy-dispersive X-ray techniques (EdX), differential thermal analysis (dTA), and thermogravimetric analysis (TGA) were respectively used to identify the crystal structure, morphological structure, chemical composition, and thermal behaviour of the prepared bricks. The radiation shielding properties of prepared brick samples were examined to check the ability of the prepared materials in attenuating the gamma-ray photons. At 0.033–2.506 MeV, basalt and granite bricks have the highest linear attenuation coefficient, of 22.332-0.097 cm−1 (for basalt bricks) and 35.633–0.096 cm−1 (for granite bricks) among the prepared bricks. The study shows that basalt and granite brick samples have suitable shielding properties. © 2025 Elsevier Ltd

关键词： Gamma rays

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