Article
Management
Erkko Autio
Summary: Ecosystems are unique in their governance and coordination challenges, requiring non-hierarchical ways to orchestrate ecosystem constituents for coherent value offering. Leaders must persuade voluntary inputs consistent with the ecosystem's value. The ecosystem orchestration framework distinguishes between technological, economic, institutional, and behavioral layers, as well as the three stages of ecosystem momentum creation: initiation, scaling, and control.
INNOVATION-ORGANIZATION & MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Pragya Thakur, Vincent Herald Wilson
Summary: Circular economy has brought about a significant change in natural resource preservation. A supportive ecosystem and an innovation mindset are crucial for operationalizing and sustaining circular economy. This research focuses on innovation and proposes a conceptual framework for the circular innovation ecosystem, highlighting the importance of knowledge management and co-innovation platforms. By understanding the circular economy ecosystem at a meso-level and combining the fields of circular economy and innovation ecosystems, this study contributes to the sustainability of circular economy. The conceptual tool developed will aid researchers, organizations, and policymakers in understanding the intricacies of the circular innovation ecosystem and creating a supportive environment for circular economy sustainability.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Review
Business
Milad Kolagar, Vinit Parida, David Sjodin
Summary: This study investigates how manufacturing firms engaged in digital servitization transform their ecosystems and provides an integrated framework for ecosystem transformation. Suggestions for future research are provided for digital servitization scholars.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Construction & Building Technology
Andre A. Markus, Brodie W. Hobson, H. Burak Gunay, Scott Bucking
Summary: Poor building energy performance often results from suboptimal operations and hard faults; the lack of accessible analytical tools often leads to these issues being unaddressed. This paper presents a novel multi source, data-driven building energy management toolkit for fault detection, sequence improvement, and energy flow monitoring.
ENERGY AND BUILDINGS
(2021)
Article
Environmental Sciences
Xingtong Ge, Yi Yang, Ling Peng, Luanjie Chen, Weichao Li, Wenyue Zhang, Jiahui Chen
Summary: This paper proposes a forest fire prediction method that combines machine learning and knowledge graphs. By constructing a forest fire semantic ontology and a knowledge graph, it integrates multi-source spatio-temporal data and extracts features using rule-based reasoning. The method greatly improves the prediction performance in real forest fire scenarios.
Article
Computer Science, Artificial Intelligence
Zheng Zhang, Wen-Jue He
Summary: The success of current multi-view clustering lies in the assumption of completeness on each view, but this assumption is rarely satisfied in real-world applications. Incomplete multi-view clustering (IMC) focuses on clustering partially observed instances, caused by data corruption or sensor failure. However, the current research faces obstacles including the reliance on pairwise similarity measurement, the challenge of recovering and enhancing high-order similarities, and the limitation to dual-view IMC. This paper proposes a Tensorized Topological Graph Learning (TTGL) approach for generalized incomplete multi-view clustering, which considers topological graph construction, missing feature completion, and high-order uncertain correlation enhancement. Experimental results on benchmark datasets show the effectiveness of TTGL compared to state-of-the-art IMC clustering algorithms. Source code for TTGL is available at: https://github.com/DarrenZZhang/TTGL.
INFORMATION FUSION
(2023)
Article
Computer Science, Artificial Intelligence
Ankita Chatterjee, Jayasree Saha, Jayanta Mukherjee
Summary: This paper theoretically analyzes the effectiveness of a previously reported loss function for clustering using MLP architecture. The input features are mapped to an output cluster node based on the degree of belongingness. The clustering results on real world datasets are validated using various evaluation techniques.
PATTERN RECOGNITION LETTERS
(2022)
Article
Mathematics, Interdisciplinary Applications
Yuanyuan Yang, Raveena Judie Dolly, Madini O. Alassafi, Adam Slowik, Fawaz E. Alsaadi
Summary: This paper designs an online music education system based on advanced artificial intelligence technology to solve the challenges brought by multi-source and cross-domain scenarios and provide personalized learning course resource recommendations for music online learners. The system consists of four layers: user interface layer, application module layer, function module layer, and data storage layer. This paper proposes a music recommendation algorithm based on a personalized multimodal network model, which performs music information retrieval (MIR) and constructs a multimodal network model to achieve personalized music recommendation based on the user's preference for resources. The method proposed in this paper has good performance in providing suitable music recommendations for users, as demonstrated by comparison results with three existing works. The artificial intelligence technology-driven online music education mechanism proposed in this paper has promising prospects.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Environmental Sciences
Weipeng Lu, Chao Tao, Haifeng Li, Ji Qi, Yansheng Li
Summary: This study proposes a unified deep learning framework for joint use of remote sensing imagery and points of interest for urban functional zone extraction, utilizing a coupled convolutional neural network to learn complementary features and a spatial relation modeling network to achieve better results.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Biochemical Research Methods
Audrey Hulot, Denis Laloe, Florence Jaffrezic
Summary: This paper presents a method for integrating data of different types, using projection and multi-table analysis to compare data with heterogeneous representations. The results suggest that this method can effectively integrate and analyze data in various forms such as tree structures or network structures.
BMC BIOINFORMATICS
(2021)
Review
Business
Joao Paulo Nascimento Silva, Andre Grutzmann
Summary: This article aims to understand the dynamics between disruptive innovations and innovation ecosystems, using disruptive business models as a catalyst. The study presents an integrative literature review and a theoretical framework to integrate the theories of disruptions and ecosystems. The findings highlight the essential role of disruptive innovation in creating new markets within an ecosystem. The effect of creative destruction from disruption influences business models and drives the ecosystem as a whole.
EUROPEAN JOURNAL OF INNOVATION MANAGEMENT
(2023)
Review
Environmental Sciences
Virgil Iordache, Aurora Neagoe
Summary: This article introduces a conceptual model of the cross-scale effect of heavy metals (HMs) on biogeochemical services by services providing units (SPUs) and proposes a method for applying the model. The objectives are to identify research clusters related to the effects of HMs on ecosystem services (ES), biodiversity, and resilience, map scientific fields necessary for implementation of the model, describe the complexity of cause-effect chains, and suggest approaches for implementing the model in contaminated socio-ecological systems. The analysis shows that current research focuses on microbial communities and functional traits, with less emphasis on larger-scale issues. The evaluation indicates the importance of this model in contaminated socio-ecological systems.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Jun Wu, Jingrui He
Summary: This study proposes an adversarial attack framework for multi-source domain adaptation, which maliciously manipulates the label-informed data distributions of source domains by injecting imperceptible noise into the source data. Extensive experiments confirm the effectiveness and computational efficiency of the framework.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yasser D. Al-Otaibi
Summary: This article introduces a distributed multi-party security computation framework for ensuring the security level of scalable information sharing and communications in heterogeneous IoT, which uses synchronized security measures through recurrent verification on different communicating ends of the devices to mitigate man-in-middle and information loss adversaries.
Article
Green & Sustainable Science & Technology
Athena Roumboutsos, Ioanna Pagoni, Athena Tsirimpa, Amalia Polydoropoulou
Summary: This contribution offers decision-makers a tool, the ESIF framework, to assess innovation strategies and monitor changes over time to ensure sustainability in urban transport. For the City of Budapest, the delicate balance in promoting Mobility as a Service and the dichotomy between public and private on-demand mobility may lead to negative impacts, especially amplified by the COVID-19 pandemic, with emerging market opportunities and conflicting interests in the ecosystem.
Article
Engineering, Electrical & Electronic
Tianyue Bai, Yuanyuan Qiao, Xudong Wang, Ning Zhao
Summary: In this paper, a new model based on finite element method (FEM) was proposed to simulate the growth of interfacial intermetallic compounds (IMCs) under temperature gradient (TG)-induced atomic thermomigration (TM) in micro solder joint. The study found that the orientation of beta-Sn grains has an effect on the growth rate of IMCs and the time it takes for the Cu concentration distribution to reach a steady state.
MICROELECTRONICS RELIABILITY
(2022)
Article
Materials Science, Biomaterials
Saisai Yue, Xin Zhang, Yuping Xu, Lichong Zhu, Junwei Cheng, Yuanyuan Qiao, Suyang Dai, Jialin Zhu, Ni Jiang, Hao Wu, Peisen Zhang, Yi Hou
Summary: This study found that protein corona has different effects on the active and passive tumor-targeting abilities of nanoparticles. Sufficient interaction time between the particles and cells can enhance the active cancer-targeting ability, but it may also accelerate RES/MPS uptake and disable the active targeting abilities.
JOURNAL OF MATERIALS CHEMISTRY B
(2022)
Article
Chemistry, Multidisciplinary
Yingying Li, Peisen Zhang, Wen Tang, Kevin J. McHugh, Stephen V. Kershaw, Mingxia Jiao, Xiaodan Huang, Sergii Kalytchuk, Collin F. Perkinson, Saisai Yue, Yuanyuan Qiao, Lichong Zhu, Lihong Jing, Mingyuan Gao, Buxing Han
Summary: This study develops CuInSe2@ZnS:Mn quantum dots with intrinsic multifunctionality, which can accurately localize small metastases and act as potent tumor ablation agents.
Article
Chemistry, Multidisciplinary
Saisai Yue, Peisen Zhang, Meng Qin, Lichong Zhu, Yuanyuan Qiao, Qilong Li, Yijie Lu, Hao Wu, Ni Jiang, Chaoyong Liu, Mitchell A. Winnik, Yi Hou
Summary: An integrated functional nanoprobe based on Fe3+ and RH has been developed for precise diagnosis and treatment of TNBC. The nanoprobe can interact specifically with glucose transporters, induce tumor cell death, and have a photothermal therapy effect, with anticipated renal clearance in appropriate circumstances.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Critical Care Medicine
Dandan Li, Wei Ma, Ming Xiong, Peng Xie, Youxin Feng, Dongdong Liu, Yuanyuan Qiao, Chenghe Shi
Summary: Severe hypothermia rat models were established by immersion in artificial seawater at 15 degrees C for 5 hours, and the effects of rewarming were evaluated using vital sign monitoring and detection of intestinal inflammation cytokines. The study showed that rewarming at 37 degrees C water bath effectively alleviated the acute inflammatory reaction and may be a suitable method for early treatment of water immersion hypothermia. IL-1 beta was identified as a potential monitoring biomarker for the therapeutic effect of rewarming.
THERAPEUTIC HYPOTHERMIA AND TEMPERATURE MANAGEMENT
(2023)
Article
Chemistry, Multidisciplinary
Shi Chen, Xiaolei Ren, Yuanyuan Qiao, Yanfeng Du, Yanqing Lai, Ning Zhao
Summary: This paper reports the formation of laminar Cu6Sn5 on nanocrystalline Cu through interfacial reaction with liquid Sn, revealing the formation and growth mechanism of the novel Cu6Sn5 structure. The Cu3Sn IMC generated at the boundary of laminar Cu6Sn5 on nanocrystalline Cu is thinner and shows no obvious formation of Kirkendall voids compared to the classic scallop-like Cu6Sn5 structure formed on polycrystalline Cu.
ADVANCED MATERIALS INTERFACES
(2022)
Article
Computer Science, Information Systems
Qing Miao, Min Li, Wenhui Lin, Zhigang Wang, Huiqin Shao, Junwei Xie, Nanfei Shu, Yuanyuan Qiao
Summary: In this study, we propose a trajectory quality calibration framework to address the challenge of predicting human mobility in smart cities. By analyzing real large-scale data, we observe heterogeneity in the quality of users' trajectories. To tackle this, we introduce a calibration network to evaluate the quality of each user's trajectories and integrate quantified quality scores into the training process.
Article
Chemistry, Multidisciplinary
Peisen Zhang, Yuanyuan Qiao, Lichong Zhu, Meng Qin, Qilong Li, Chuang Liu, Yuping Xu, Xin Zhang, Zhihua Gan, Yi Hou
Summary: Researchers developed theranostic nanoprobes based on protein-corona-coated Fe3O4 nanoparticles and biomineralization. The nanoprobes showed biocompatibility, nonimmunogenicity, photothermal therapy, and the ability to target tumor cells. The released Fe3+ enhanced MR imaging, enabling improved tumor diagnosis.
Article
Engineering, Civil
Yuanyuan Qiao, Jiaxin Yin, Wei Wang, Fabio Duarte, Jie Yang, Carlo Ratti
Summary: In the next few years, autonomous technology will be widely used, reducing labor costs, improving safety, saving energy, enabling unmanned tasks, and eliminating human error. Maritime software development is at an early stage, but recent advancements in sensor and communication technology have allowed for the use of autonomous surface vehicles (ASVs). Deep learning methods have brought full autonomy one step closer to reality.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Yuanyuan Qiao, Jesse Wotring, Charles Zhang, Xia Jiang, Lanbo Xiao, Andy Watt, Danielle D. Gattis, Eli J. Scandalis, Susan E. Freier, Yang Zheng, Carla Z. Pretto, Stephanie M. Ellison, Eric Swayze, Shuling Guo, Jonathan Sexton, Arul Chinnaiyan
Summary: Despite the COVID-19 pandemic lasting for over three years, the virus SARS-CoV-2 continues to infect people worldwide. This study explores the use of antisense oligonucleotides (ASOs) to target SARS-CoV-2 and inhibit cellular infection. The researchers designed and tested ASOs against the SARS-CoV-2 genome and host entry factors, ACE2 and TMPRSS2, and found promising results.
Article
Business
Guannan Xu, Yuan Zhou, Huanyong Ji
Summary: The traditional technology diffusion literature focuses on the diffusion of technologies within the existing manufacturing paradigm, while few studies have explored the determinants and mechanisms of technology diffusion when moving across manufacturing paradigms. This article aims to explore the intrinsic and institutional factors, as well as the impact mechanism on technology diffusion in the context of manufacturing paradigm shift. The study reveals that government interventions, especially indirect ones, have significant moderating effects on the influential mechanism of technology diffusion in a manufacturing paradigm shift.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Materials Science, Multidisciplinary
Yuanyuan Qiao, Hongwei Liang, Ning Zhao
Summary: The orientation transformation of Cu6Sn5 grains in Cu/Sn-xAg/Cu micro solder joints under temperature gradient was investigated, and it was found that the transformation significantly depended on the Ag content. The results provide guidelines for improving the reliability of micro joints for 3D packaging or high temperature applications by discussing the combined effect of Ag solid solution and Ag3Sn absorbates on the orientation transformation.
JOURNAL OF MATERIALS SCIENCE
(2023)
Article
Clinical Neurology
Daiquan Gao, Wenliang Feng, Yuanyuan Qiao, Xuebin Jiang, Yunzhou Zhang
Summary: This study developed a machine learning-based model to predict functional outcome in Chinese patients with intracerebral hemorrhage (ICH). The model showed good predictive performance and could be used to predict poor functional outcome in ICH patients.
NEUROLOGICAL SCIENCES
(2023)
Review
Food Science & Technology
Congli Cui, Lin Gao, Lei Dai, Na Ji, Yang Qin, Rui Shi, Yuanyuan Qiao, Liu Xiong, Qingjie Sun
Summary: Food packaging materials are essential for maintaining food quality by preventing deterioration, dehydration, and oxidation. Natural biopolymers, such as polysaccharides and proteins, are being investigated for their potential as hydrophobic films in food packaging. Effective preparation strategies, mechanical and barrier properties, pH responsiveness, self-cleaning performance, and antibacterial and antioxidant functions of hydrophobic biopolymer-based films are summarized. The most effective methods include electrospinning with hydrophobically modified biopolymers, addition of micro/nanofillers and hydrophobic compounds, and hydrophobic modification of the films, which can even produce superhydrophobic films with excellent barrier properties. The current opportunities and challenges of hydrophobic biopolymer-based films are discussed.
FOOD ENGINEERING REVIEWS
(2023)
Article
Computer Science, Information Systems
Yanfeng Du, Yuanyuan Qiao, Xiaolei Ren, Yanqing Lai, Ning Zhao
Summary: The study investigates the melting behavior and microstructure of bulk Sn-xIn (x = 6, 12, and 24, wt.%) solders, as well as the thermomigration, elemental distribution, and intermetallic compound (IMC) growth in Cu/Sn-xIn/Cu micro solder joints during soldering and aging under temperature gradient (TG). The results show that the addition of In effectively decreases the melting temperature of the bulk solders. The growth rate of the interfacial IMC layer gradually decreases with increasing In content during soldering under TG. The study provides insight into the application of In-containing solders in electronic packaging.
