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Blockchain-enabled traceability and certification for frozen food supply chains: A conceptual design

Smart Agricultural technology 2025年 12卷

作者： Havva Uyar Athanasios Papanikolaou Evgenia Kapassa Marios Touloupos Stamatia rizou R&D and Innovation Department SingularLogic Athens Greece Department of Natural Resources Development and Agricultural Engineering Agricultural University of Athens Athens Greece Management Entrepreneurship and Digital Business Cyprus University of Technology Paphos Cyprus Department of Electrical Engineering Computer Engineering And Informatics Cyprus University of Technology Limassol Cyprus

Ensuring traceability, compliance certification and cold chain integrity in frozen food supply chains remains a persistent challenge, exacerbated by fragmented monitoring systems, manual audits and vulnerability to data manipulation. This study presents a conceptual design for a blockchain-enabled compliance architecture that addresses these challenges by integrating real-time Internet of Things (IoT) data acquisition, permissioned blockchain-based data storage and smart contract-driven compliance automation. Following a design Science research (dSr) methodology, the research focuses on the initial phases (problem identification, objective specification and artefact conceptualization) providing a structured foundation for future demonstration and evaluation. The proposed design is structured across three interdependent layers: (1) a data Acquisition Layer that ensures continuous and secure sensor-based monitoring; (2) a data Storage Layer that leverages blockchain for immutable recording and transparent auditability; and (3) an Application Layer that integrates smart contracts for automated compliance enforcement and user interfaces for stakeholder interaction. By translating regulatory compliance requirements into a modular, blockchain-based design, this work contributes to the theoretical grounding of decentralized regulatory infrastructures in agri-food systems. The proposed architecture embodies design principles that may inform similar traceability systems across other regulated supply chains. Although empirical validation is forthcoming, the conceptualization serves as a scaffold for future dSr iterations and contributes to design knowledge in the domain of digital compliance architectures.

关键词： Blockchain Smart contract Ethereum Solidity Cold chain compliance

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Correction: distortion/interaction analysis via machine learning

Digital Discovery

引用

digital discovery 2025年第3期4卷 879-879页

作者： Samuel G. Espley Samuel S. Allsop david Buttar Simone Tomasi Matthew N. Grayson Department of Chemistry University of Bath Claverton Down Bath BA2 7AY UK M.N.Grayson@bath.ac.uk Data Science and Modelling Pharmaceutical Sciences R&D AstraZeneca Macclesfield UK Chemical Development Pharmaceutical Technology & Development Operations AstraZeneca Macclesfield UK

Correction for ‘distortion/interaction analysis via machine learning’ by Samuel G. Espley et al. , digital discovery , 2024, 3 , 2479–2486, https://***/10.1039/d4dd00224E .

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Thermal performance enhancement of novel integrated vapor compression and organic rankine cycle for electricity production: a full-condensing vs. desuperheating approach comparison in ultra-low-grade waste heat recovery

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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024年 7卷

作者： Asim, Muhammad Khan, Sheheryar Zia, Abdul Wasy Siddiqui, Farooq riaz Leung, Michael K.H. School of Professional Education & Executive Development The Hong Kong Polytechnic University Kowloon Hong Kong Institute of Mechanical Process and Energy Engineering (IMPEE) School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS United Kingdom Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Hong Kong 100077 Hong Kong Ability R&D Energy Research Centre School of Energy and Environment City University of Hong Kong Hong Kong Hong Kong

This paper presents the thermodynamic analysis, performance assessment and working fluid selection for a novel integrated vapor compression cycle and the organic rankine cycle system, which recovers ultra-low-temperature waste heat (50 °C) rejected by the condenser of a vapor compression cycle (VCC). The study is conducted on a vapor compression system of a 35 kW cooling capacity, followed by the component sizing of the organic rankine cycle (OrC) based on the available waste heat in the condenser of the refrigeration system. The effect of the operational parameters of the vapor compression cycle on the overall system performance are investigated. The system performance of the integrated system is estimated in terms of coefficient of performance, cycle thermal efficiency and exergy efficiency. The novel integrated systems has been analyzed thermodynamically for 36 pairs of pure refrigerants. results show that the working fluid pair r600a/r141b with combined coefficient of performance (3.54), OrC thermal efficiency (3.05 %), electricity saving ratio (13.34 %) and total exergy destruction (6.94 kW) is the most suitable VCC/OrC working fluid pair in full condensing method. r407c-r141b is found to be the best working fluid pair in desuperheating method for the same integrated system. The performance analysis for full condensation and desuperheating methods are also investigated. The results indicate a 12.5 % improvement in the coefficient of performance of the integrated system using the full condensation method and a 2.5 % improvement using the desuperheating method compared to the standalone air conditioning system. Additionally, the sensitivity analysis results show that there exists optimum operating condition that maximize the system performance of the integrated system. © 2024 The Author(s)

关键词： Compatible working fluids de-superheating Exergy efficiency Full-condensing Organic rankine cycle Performance assessment Vapor compression cycle Waste heat recovery

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research on HrI Evaluation System and diver Safety Equipment

Research on HRI Evaluation System and Diver Safety Equipment

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OCEANS

作者： Ye Jun Lee Min-Gyu Kim Myung-Jun Shin Tae Sung Park Jinhyung Kim Sunghun Kim Kichoon Lee Jihun Lee Jeongtack Min HRI(Human Robot Interaction) Research Center KIRO(Korea Institute of Robotics and Technology Convergence) Pohang South Korea Department of Rehabilitation Medicine Pusan National University Hospital and Pusan National University School of Medicine Busan South Korea Department of Convergence Medical Institute of Technology Pusan National University Hospital Busan South Korea Technical Research Center RNWare Co. Ltd Daegu South Korea System Development Division Gleam-Systems Daejeon South Korea Modeling and Simulation Division Gleam-Systems Daejeon South Korea Marine Leisure Equipment R&D Center KIRO(Korea Institute of Robotics and Technologh Convergence) Pohang South Korea

ISBN: (数字)9798331540081

ISBN: (纸本)9798331540098

Scuba diving is a common aquatic leisure sport that many individuals enjoy in the sea. With the increasing number of people participating, there is a corresponding rise in related incidents and accidents. Typically, such events are caused by inadequate user proficiency with equipment, sudden onset of physical symptoms, failure to respond to external obstacles, and equipment malfunctions. As interest in scuba diving grows, the development of diver safety equipment that enhances convenience and usability through the interaction between divers and equipment is crucial, not only to assist underwater activities but also to preemptively prevent accidents. This paper explores the analysis of divers' physiological conditions and diver equipment evaluation criteria. Building upon this, it proposes a HrI(Human-robot Interaction) evaluation system to facilitate the research and development of safety equipment for secure scuba diving operations.

关键词： Oceans Human-robot interaction Physiology Safety Personnel Usability robots research and development Accidents Sports

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Blockchain-Enabled Traceability and Certification for Frozen Food Supply Chains: A Conceptual design

SSRN

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SSrN 2025年

作者： Uyar, Havva Papanikolaou, Athanasios rizou, Stamatia Kappassa, Evgenia Touloupos, Marios R&D and Innovation Department SingularLogic Athens Greece Department of Natural Resources Development and Agricultural Engineering Agricultural University of Athens Athens Greece Management Entrepreneurship and Digital Business Cyprus University of Technology Paphos Cyprus Department of Electrical Eng. Computer Eng. And Informatics Cyprus University of Technology Limassol Cyprus

Ensuring traceability, compliance certification and cold chain integrity in frozen food supply chains remains a persistent challenge, exacerbated by fragmented monitoring systems, manual audits and vulnerability to data manipulation. This study presents a conceptual design for a blockchain-enabled compliance architecture that addresses these challenges by integrating real-time Internet of Things (IoT) data acquisition, permissioned blockchain-based data storage and smart contract-driven compliance automation. Following a design Science research (dSr) methodology, the research focuses on the initial phases (problem identification, objective specification and artefact conceptualization) providing a structured foundation for future demonstration and evaluation. The proposed architecture is structured across three interdependent layers: (1) a data Acquisition Layer that ensures continuous and secure sensor-based monitoring;(2) a data Storage Layer that leverages blockchain for immutable recording and transparent auditability;and (3) an Application Layer that integrates smart contracts for automated compliance enforcement and user interfaces for stakeholder interaction. The system is designed to align with EU food safety regulations (e.g. regulation (EC) No 178/2002, regulation (EC) No 37/2005). It embeds compliance logic directly into the operational fabric of the supply chain. While remaining conceptual at this stage, the work advances the theoretical foundations for blockchain-based regulatory infrastructures in agri-food systems and establishes a solid basis for future prototyping, empirical testing and stakeholder validation. © 2025, The Authors. All rights reserved.

关键词： Conceptual design

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Open-Source Enabled Beyond 5G Private Mobile Networks: From Concept to Prototype

Open-Source Enabled Beyond 5G Private Mobile Networks: From ...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： razvan Mihai razvan Craciunescu Alexandru Martian Frank Y. Li Cristian Patachia Marius-Constantin Vochin 5G Lab CAMPUS Research Center University Politehnica of Bucharest Bucharest Romania R&D Department BEAM Innovation Bucharest Romania Department of Telecommunications University Politehnica of Bucharest (UPB) Bucharest Romania Dept. of Information and Communication Technology University of Agder (UiA) Norway Development and Innovation Orange Romania Bucharest Romania Gheorghe Asachi Technical University of Iasi (TUIASI) Iasi Romania

To enable emerging applications of fifth generation (5G) systems for vertical scenarios like mobile broadband and Internet of things (IoT) for vehicles and maritime sectors, a new trend towards softwarization and establishment of private networks is gaining momentum. different from earlier generations of mobile systems where network functions are traditionally operated based on dedicated hardware, 5G infrastructures can be virtualized and services can be provided based on software, common hardware and servers. In this paper, we present an open-source based prototype private network which has been implemented in the framework of an EEA research project SOLId-B5G. The prototype network is a 5G non-standalone (NSA) network with a fourth generation (4G) evolved packet core (EPC) connecting both evolved NodeB (eNB) and next generation NodeB (gNB) to commercial off-the-shelf (COTS) user equipment (UE). The prototype is implemented based on two popular open-source software platforms, namely OAI rAN and srsrAN. Based on our implementations, extensive experiments have been conducted to assess the performance of the prototype network in terms of downlink/uplink throughput and latency between different parts of the system.

关键词： Wireless communication 5G mobile communication Prototypes Throughput Hardware Internet of Things Servers

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The High Strength Steel with the If and Qp Sandwich Structure to resist the Liquid Metal Embrittlement

SSRN

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SSrN 2022年

作者： dong, Wufeng Pan, Hua Lei, Ming ding, Kai Gao, Yulai State Key Laboratory of Advanced Special Steel Shanghai University Shanghai200444 China State Key Laboratory of Development and Application Technology of Automotive Steels Shanghai201900 China Automobile Steel Research Institute R&D Center Baoshan Iron & Steel Co. Ltd. Shanghai201900 China Shanghai Engineering Research Center for Metal Parts Green Remanufacture Shanghai200444 China

The development and application of galvanized advanced high strength steels has been significantly hindered by the formation of liquid metal embrittlement (LME), especially in the occasions involved the resistance spot welding (rSW) process. In particular, it is found that there exists a direct correlation between the alloy elements and the formation of the LME cracks. In the present study, a sandwich-structure QP1180+IF steel sheet with the equivalent tensile strength with the QP980 steel is designed and fabricated to resist the LME cracks. The welded joints with normal structure (rSW joint of galvanized QP980 steel) reveal the higher LME susceptibility than the sandwich-structured one. The maximum length of the detected LME cracks is 1,062.9 μm for type I crack (located at the center of the weld) and 152.2 μm for type II crack (located at the shoulder of the weld). Based on the results of the element distribution in the regions near the LME cracks, the internal oxide layer and element segregation are detected for the welded joint with normal structure. The formation of the internal oxide and the element segregation could largely deteriorate the cohesion of the boundaries especially for the region directly contacted with the Zn coating, triggering the formation of the LME cracks. With the protection of the IF steel as the covering layer on the QP1180 steel, however, the regions with element segregation are successfully separated from the Zn coating, dramatically decreasing the corresponding LME susceptibility. In addition, the stress state changed from tensile stress for the welded joint with normal structure to almost compressive stress for the welded joint with sandwich structure, further reducing the tendency to form the LME cracks. © 2022, The Authors. All rights reserved.

关键词： Welds

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Hollow-architected Co3O4 for enhancing Oxone activation to eliminate an anesthetic, benzocaine, from water: A structure-property investigation with degradation pathway and eco-toxicity

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Journal of the Taiwan Institute of Chemical Engineers 2023年第1期150卷

作者： Jiang, Xin-Yu Park, Young-Kwon Wen, Jet-Chau Bui, Ha Manh Lin, Yi-Feng Sirivithayapakorn, Sanya Khiem, Ta Cong Munagapati, Venkata Subbaiah Lin, Kun-Yi Andrew Department of Environmental Engineering & Innovation and Development Center of Sustainable Agriculture National Chung Hsing University 250 Kuo-Kuang Road Taichung Taiwan School of Environmental Engineering University of Seoul Seoul02504 Korea Republic of National Yunlin University of Science and Technology Yunlin County Douliu Taiwan Faculty of Environment Saigon University Ho Chi Minh70000 Viet Nam Department of Chemical Engineering and R&D Center for Membrane Technology Chung Yuan Christian University 200 Chung Pei Rd. Chungli Taoyuan Taiwan Environmental Engineering Department Faculty of Engineering Kasetsart University Bangkok Thailand Institute of Analytical and Environmental Sciences National Tsing Hua University Hsinchu Taiwan

Background: As the most widely-used oral anesthetic, benzocaine (BZC), is increasingly detected in municipal wastewater and regarded as an emerging contaminant. Thus, it would be highly imperative to develop useful methods to eliminate BZC from water. However, very few studies have been ever reported, and only photocatalysis of BZC was attempted. Therefore, this present study aims to be the first study of developing the sulfate-radical-based chemical oxidation technology (Sr-COT) for degrading BZC. Methods: For establishing a useful Sr-COT, the oxidant, Oxone, is then adopted and a facile nanostructured Co3O4 is then developed for maximizing catalytic activities of Oxone activation by creating a hollow fluffy Co3O4 nanostructure using CoMOF as a template, followed by a carving-architected treatment to afford the hollow fluffy Co3O4 (HFCC). Significant findings: In comparison to the solid (non-hollow) Co3O4 (SCC), HFCC possesses not only the excellent textural properties, but also superior electrochemical properties and highly reactive surfaces, making HFCC exhibit the significantly higher catalytic activity than SCC as well as traditional Co3O4 nanoparticle in activating Oxone to degrade BZC. The density function theory calculation is performed to investigate the degradation pathway, and the corresponding eco-toxicity is also studied to realize the degradation implication of BZC by HFCC-activated Oxone. © 2023

关键词： Chemical activation

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Erratum to: Effect of K and Ni Promoters on Mo2C/Al2O3 Catalyst for Higher Alcohols Synthesis from Syngas

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Kinetics and Catalysis 2025年第6期65卷 832-832页

作者： Yang, Zhi Luo, Mingsheng Liu, Qinglong Li, Chenmeng Wang, Yatao Li, Hongjuan Yao, Lifei Faculty of Environment and Life Science Beijing University of Technology Beijing China School of Chemical Engineering Beijing Institute of Petrochemical Technology Beijing China Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology Beijing Institute of Petrochemical Technology Beijing China Coal Chemical R&D Center of Kailuan Group Haigang Economic Development Zone Tangshan Hebei China

An Erratum to this paper has been published: https://***/10.1134/S0023158424960012

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Corrigendum to “Modeling PrOTAC degradation activity with machine learning” [Artificial Intelligence in the Life Sciences 6 (2024) 100104]

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Artificial Intelligence in the Life Sciences 2024年 6卷

作者： Stefano ribes Eva Nittinger Christian Tyrchan rocío Mercado Department of Computer Science and Engineering Section for Data Science and AI Chalmers University of Technology Chalmersplatsen 4 Gothenburg 412 96 Sweden Medicinal Chemistry Research and Early Development Respiratory and Immunology (R&I) BioPharmaceuticals R&D AstraZeneca Pepparedsleden 1 Mölndal 431 83 Sweden

PrOTACs are a promising therapeutic modality that harnesses the cell’s built-in degradation machinery to degrade specific proteins. despite their potential, developing new PrOTACs is challenging and requires significant domain expertise, time, and cost. Meanwhile, machine learning has transformed drug design and development. In this work, we present a strategy for curating open-source PrOTAC data and an open-source deep learning tool for predicting the degradation activity of novel PrOTAC molecules. The curated dataset incorporates important information such as p d C 50 , d m a x , E3 ligase type, POI amino acid sequence, and experimental cell type. Our model architecture leverages learned embeddings from pretrained machine learning models, in particular for encoding protein sequences and cell type information. We assessed the quality of the curated data and the generalization ability of our model architecture against new PrOTACs and targets via three tailored studies, which we recommend other researchers to use in evaluating their degradation activity models. In each study, three models predict protein degradation in a majority vote setting, reaching a top test accuracy of 80.8% and 0.865 rOC-AUC, and a test accuracy of 62.3% and 0.604 rOC-AUC when generalizing to novel protein targets. Our results are not only comparable to state-of-the-art models for protein degradation prediction, but also part of an open-source implementation which is easily reproducible and less computationally complex than existing approaches.

关键词： PrOTAC Machine learning drug discovery Protein degradation

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