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Comprehensive Review and Future Trend Outlook on Energy Utilization Technologies in Low-Carbon Energy Systems

Zhang Chuan, Hu Peiyu, Yin Gege , Yan Wubin , Xu Shiwei, Cao Ruming, Feng Yinan, Zhao Mingsheng , Yang Lei , Jin Zhijun

Strategic Study of CAE doi: 10.15302/J-SSCAE-2024.04.008

Abstract:

Energy decarbonization is essential for achieving carbon neutrality. To facilitate the low-carbon transition of the energy system, extensive utilization of low-carbon energy technologies is crucial across various sectors, including primary energy supply, energy processing and conversion, and end-use consumption. This study provides a comprehensive overview of the current status and future trends of key energy utilization technologies from the perspective of low-carbon energy system analysis and optimization. We analyze the application prospects and layout challenges of energy utilization technologies in China’s path toward carbon neutrality from multiple dimensions. Our study highlights the following points: Wind and solar energy, as the fastest-growing renewable energy sources, will continue to play a crucial role in energy supply. The utilization of biomass resources requires systematic evaluation of different conversion technologies, optimizing the allocation of biomass resources across industries. Utilization technologies of secondary energies such as hydrogen and energy storage face challenges related to materials, performance, and lifespan. Overcoming these technical bottlenecks is necessary to achieve low-cost and scalable system applications. Future end-use energy utilization technologies will focus on electrification, which depends on the secure and stable transformation and expansion of electricity distribution systems. Achieving low-carbon transformation in the energy system requires balancing the coordinated development of different energy technologies while addressing non-technical factors such as market dynamics, institutional frameworks, and societal acceptance, ultimately accelerating the decarbonization process.

Keywords: energy system     low-carbon transition     primary energy     secondary energy     end-use energy utilization     electrification     nontechnical factors    

Compact solar-powered plasma water generator: enhanced germination of aged seed with the corona dielectric barrier discharger

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2024573

Abstract:

● Developed a novel solar-powered corona dielectric barrier discharge (cDBD) microreactor for sustainable agriculture.

Keywords: Non-thermal plasma     plant growth     reactor design     seed germination    

Selection of digital fabrication technique in the construction industry—A multi-criteria decision-making approach

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-024-1075-1

Abstract: Digital fabrication techniques, in recent decades, have provided the basis of a sustainable revolution in the construction industry. However, selecting the digital fabrication method in terms of manufacturability and functionality requirements is a complex problem. This paper presents alternatives and criteria for selection of digital fabrication techniques by adopting the multi-criteria decision-making technique. The alternatives considered in the study are concrete three-dimensional (3D) printing, shotcrete, smart dynamic casting, material intrusion, mesh molding, injection concrete 3D printing, and thin forming techniques. The criteria include formwork utilization, reinforcement incorporation, geometrical complexity, material enhancement, assembly complexity, surface finish, and build area. It demonstrates different multi-criteria decision-making techniques, with both subjective and objective weighting methods. The given ranking is based on the current condition of digital fabrication in the construction industry. The study reveals that in the selection of digital fabrication techniques, the criteria including reinforcement incorporation, build area, and geometrical complexity play a pivotal role, collectively accounting for nearly 70% of the overall weighting. Among the evaluated techniques, concrete 3D printing emerged as the best performer, however the shotcrete and mesh molding techniques in the second and third positions.

Keywords: digital fabrication     multicriteria decision-making     concrete 3D printing    

Geometric quality evaluation of three-dimensional printable concrete using computational fluid dynamics

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-024-1080-4

Abstract: The importance of geometrical control of three dimensional (3D) printable concrete without the support of formwork is widely acknowledged. In this study, a numerical model based on computational fluid dynamics was developed to evaluate the geometrical quality of a 3D printed layer. The numerical results were compared, using image analysis, with physical cross-sectional sawn samples. The influence of printing parameters (printing speed, nozzle height, and nozzle diameter) and the rheological behavior of printed materials (yield stress), on the geometrical quality of one printed layer was investigated. In addition, the yield zone of the printed layer was analyzed, giving insights on the critical factors for geometrical control in 3D concrete printing. Results indicated that the developed model can precisely describe the extrusion process, as well as the cross-sectional quality.

Keywords: digital fabrication     3D concrete printing     geometric quality     computational fluid dynamics     printing parameters     yield stress    

Numerical analysis on seismic response and failure mechanism of articulated pile−structure system in a liquefiable site from shaking-table experiments

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-024-0958-5

Abstract: This study investigates the seismic response and failure mode of a pile−structure system in a liquefiable site by employing a numerical simulation model combined with the shaking-table results of a soil−pile−structure dynamic system. The pile and soil responses obtained from the numerical simulations agreed well with the experimental results. The slopes of the dynamic shear-stress–shear-strain hysteretic curves at different positions also exhibited a decreasing trend, indicating that the shear strength of the soil in all parts of the foundation decreased. The peak acceleration of the soil and pile was not clearly amplified in the saturated sand layer but appeared to be amplified in the top part. The maximum bending moments appeared in the middle and lower parts of the pile shaft; however, the shear forces at the corresponding positions were not large. It can be observed from the deformation mode of the pile-group foundation that a typical bending failure is caused by an excessive bending moment in the middle of the pile shaft if the link between the pile top and cap is articulated, and sufficient attention should be paid to the bending failure in the middle of the pile shaft.

Keywords: numerical simulation     soil liquefaction     pile foundation     shaking-table experiment     seismic responses     failure model    

Allocating redundancy, maintenance and spare parts for minimizing system cost under decentralized repairs

Frontiers of Engineering Management doi: 10.1007/s42524-024-0145-3

Abstract: Reliability-redundancy allocation, preventive maintenance, and spare parts logistics are crucial for achieving system reliability and availability goal. Existing methods often concentrate on specific scopes of the system’s lifetime. This paper proposes a joint redundancy-maintenance-inventory allocation model that simultaneously optimizes redundant component, replacement time, spares stocking, and repair capacity. Under reliability and availability criteria, our objective is to minimize the system’s lifetime cost, including design, manufacturing, and operational phases. We develop a unified system availability model based on ten performance drivers, serving as the foundation for the establishment of the lifetime-based resource allocation model. Superimposed renewal theory is employed to estimate spare part demand from proactive and corrective replacements. A bisection algorithm, enhanced by neighborhood exploration, solves the complex mixed-integer, nonlinear optimization problem. The numerical experiments show that component redundancy is preferred and necessary if one of the following situations occurs: extremely high system availability is required, the fleet size is small, the system reliability is immature, the inventory holding is too costly, or the hands-on replacement time is prolonged. The joint allocation model also reveals that there exists no monotonic relation between spares stocking level and system availability.

Keywords: system availability     installed base     decentralized repair     redundancy-maintenance-inventory model     superimposed renewal process    

Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT

Frontiers of Engineering Management doi: 10.1007/s42524-024-4003-0

Abstract: Numerous maintenance strategies have been proposed in the literature related to reliability. This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies. We analyze maintenance strategies based on importance measures and identify areas lacking sufficient research. The paper presents principles and formulas for advanced importance measures within the context of optimizing maintenance strategies. Additionally, it classifies methods of maintenance strategy optimization according to importance measures and outlines the roles of these measures in various maintenance strategies. Finally, it discusses potential challenges that optimization of maintenance strategies based on importance measures may encounter with future technologies.

Keywords: maintenance strategy     importance measure     reliability     maintenance cost    

Assessing the potential impacts of public transport-based crowdshipping: A case study in a central district of Copenhagen

Frontiers of Engineering Management doi: 10.1007/s42524-024-4019-5

Abstract: The expansion of e-commerce and the sharing economy has paved the way for crowdshipping as an innovative approach to addressing last-mile delivery challenges. Previous studies and implementations have predominantly concentrated on private vehicle-based crowdshipping, which may lead to increased traffic congestion and emissions due to additional trips made specifically for deliveries. To circumvent these possible adverse effects, this paper explores a public transport (PT)-based crowdshipping concept as a complementary solution to the traditional parcel delivery systems. In this model, PT users leverage their routine journeys to perform delivery tasks. We propose a methodology that includes a parcel locker location model and a vehicle routing model to analyze the effect of PT-based crowdshipping. Notably, the parcel locker location model aids in planning a PT-based crowdshipping network and identifying obstacles to its development. A case study conducted in the central district of Copenhagen utilizing real-world data assesses the effects of PT-based crowdshipping. The findings suggest that PT-based crowdshipping can decrease the total kilometers traveled by vehicles, the overall working hours of drivers, and the number of vans required for last-mile deliveries, thereby alleviating urban traffic congestion and environmental pollution. Nevertheless, the growth of PT-based crowdshipping may be limited by the availability of crowdshippers, indicating that initiatives to increase the number of crowdshippers are essential.

Keywords: last-mile delivery     crowdshipping     public transport-based crowdshipping     integrated passenger and freight transportation     impact assessment    

Visualizing blockchain in construction projects: Status quo, challenges, and a guideline for implementation

Frontiers of Engineering Management doi: 10.1007/s42524-024-4034-6

Abstract: The use of blockchain technology in construction engineering and management (CEM) is increasing, yet current presentations of blockchain-based data management processes (DMP) are considered too primitive to encourage the technology’s broader diffusion in CEM. This research aims to provide a set of guidelines for visualizing blockchain-based DMP in CEM. First, a conceptual model is proposed to guide the research design. Next, 49 cases published in scholarly papers are reviewed, revealing an increasing use of dashboards to visualize blockchain-based DMP. Then, four challenges for visualizing blockchain are identified, namely, data diversity, visualization tools, visualization mediums, and visualization domain. Finally, we present guidelines for visualizing blockchain in construction projects, which involve: (1) targeting the visualization domain, (2) planning the blockchain visualization, (3) choosing a visualization tool, (4) selecting a visualization medium, and (5) fine-tuning the visualization solution. This research encourages researchers to further develop visualization solutions to harness blockchain benefits in CEM.

Keywords: data visualization     blockchain systems     construction projects     systematic review     guidelines    

Artificial intelligence in infrastructure construction: A critical review

Frontiers of Engineering Management doi: 10.1007/s42524-024-3128-5

Abstract: Artificial intelligence (AI) has emerged as a promising technological solution for addressing critical infrastructure construction challenges, such as elevated accident rates, suboptimal productivity, and persistent labor shortages. This review aims to thoroughly analyze the contemporary landscape of AI applications in the infrastructure construction sector. We conducted both quantitative and qualitative analyses based on 594 and 91 selected papers, respectively. The results reveal that the primary focus of current AI research in this field centers on safety monitoring and control, as well as process management. Key technologies such as machine learning, computer vision, and natural language processing are prominent, with significant attention given to the development of smart construction sites. Our review also highlights several areas for future research, including broadening the scope of AI applications, exploring the potential of diverse AI technologies, and improving AI applications through standardized data sets and generative AI models. These directions are promising for further advancements in infrastructure construction, offering potential solutions to its significant challenges.

Keywords: infrastructure construction     artificial intelligence     literature review     quantitative analysis     qualitative analysis    

Regulations of mA and other RNA modifications and their roles in cancer

Frontiers of Medicine doi: 10.1007/s11684-024-1064-8

Abstract: RNA modification is an essential component of the epitranscriptome, regulating RNA metabolism and cellular functions. Several types of RNA modications have been identified to date; they include N6-methyladenosine (m6A), N1-methyladenosine (m1A), 5-methylcytosine (m5C), N7-methylguanosine (m7G), N6,2′-O-dimethyladenosine (m6Am), N4-acetylcytidine (ac4C), etc. RNA modifications, mediated by regulators including writers, erasers, and readers, are associated with carcinogenesis, tumor microenvironment, metabolic reprogramming, immunosuppression, immunotherapy, chemotherapy, etc. A novel perspective indicates that regulatory subunits and post-translational modifications (PTMs) are involved in the regulation of writer, eraser, and reader functions in mediating RNA modifications, tumorigenesis, and anticancer therapy. In this review, we summarize the advances made in the knowledge of different RNA modifications (especially m6A) and focus on RNA modification regulators with functions modulated by a series of factors in cancer, including regulatory subunits (proteins, noncoding RNA or peptides encoded by long noncoding RNA) and PTMs (acetylation, SUMOylation, lactylation, phosphorylation, etc.). We also delineate the relationship between RNA modification regulator functions and carcinogenesis or cancer progression. Additionally, inhibitors that target RNA modification regulators for anticancer therapy and their synergistic effect combined with immunotherapy or chemotherapy are discussed.

Keywords: RNA modification     writers     erasers     readers     regulatory subunits     PTMs     cancer    

lncRNA Gm20257 alleviates pathological cardiac hypertrophy by modulating the PGC-1–mitochondrial complex IV axis

Frontiers of Medicine doi: 10.1007/s11684-024-1065-7

Abstract: Pathological cardiac hypertrophy, a major contributor to heart failure, is closely linked to mitochondrial function. The roles of long noncoding RNAs (lncRNAs), which regulate mitochondrial function, remain largely unexplored in this context. Herein, a previously unknown lncRNA, Gm20257, was identified. It markedly increased under hypertrophic stress in vivo and in vitro. The suppression of Gm20257 by using small interfering RNAs significantly induced cardiomyocyte hypertrophy. Conversely, the overexpression of Gm20257 through plasmid transfection or adeno-associated viral vector-9 mitigated angiotensin II–induced hypertrophic phenotypes in neonatal mouse ventricular cells or alleviated cardiac hypertrophy in a mouse TAC model respectively, thus restoring cardiac function. Importantly, Gm20257 restored mitochondrial complex IV level and enhanced mitochondrial function. Bioinformatics prediction showed that Gm20257 had a high binding score with peroxisome proliferator–activated receptor coactivator-1 (PGC-1α), which could increase mitochondrial complex IV. Subsequently, Western blot analysis results revealed that Gm20257 substantially affected the expression of PGC-1α. Further analyses through RNA immunoprecipitation and immunoblotting following RNA pull-down indicated that PGC-1α was a direct downstream target of Gm20257. This interaction was demonstrated to rescue the reduction of mitochondrial complex IV induced by hypertrophic stress and promote the generation of mitochondrial ATP. These findings suggest that Gm20257 improves mitochondrial function through the PGC-1α–mitochondrial complex IV axis, offering a novel approach for attenuating pathological cardiac hypertrophy.

Keywords: lncRNA Gm20257     cardiac hypertrophy     PGC-1α     mitochondrial complex IV     ATP    

Epigenetic silencing of BEND4, a novel DNA damage repair gene, is a synthetic lethal marker for ATM inhibitor in pancreatic cancer

Frontiers of Medicine doi: 10.1007/s11684-023-1053-3

Abstract: Synthetic lethality is a novel model for cancer therapy. To understand the function and mechanism of BEN domain-containing protein 4 (BEND4) in pancreatic cancer, eight cell lines and a total of 492 cases of pancreatic neoplasia samples were included in this study. Methylation-specific polymerase chain reaction, CRISPR/Cas9, immunoprecipitation assay, comet assay, and xenograft mouse model were used. BEND4 is a new member of the BEN domain family. The expression of BEND4 is regulated by promoter region methylation. It is methylated in 58.1% (176/303) of pancreatic ductal adenocarcinoma (PDAC), 33.3% (14/42) of intraductal papillary mucinous neoplasm, 31.0% (13/42) of pancreatic neuroendocrine tumor, 14.3% (3/21) of mucinous cystic neoplasm, 4.3% (2/47) of solid pseudopapillary neoplasm, and 2.7% (1/37) of serous cystic neoplasm. BEND4 methylation is significantly associated with late-onset PDAC (> 50 years, P < 0.01) and tumor differentiation (P < 0.0001), and methylation of BEND4 is an independent poor prognostic marker (P < 0.01) in PDAC. Furthermore, BEND4 plays tumor-suppressive roles in vitro and in vivo. Mechanistically, BEND4 involves non-homologous end joining signaling by interacting with Ku80 and promotes DNA damage repair. Loss of BEND4 increased the sensitivity of PDAC cells to ATM inhibitor. Collectively, the present study revealed an uncharacterized tumor suppressor BEND4 and indicated that methylation of BEND4 may serve as a potential synthetic lethal marker for ATM inhibitor in PDAC treatment.

Keywords: BEND4     DNA methylation     synthetic lethality     NHEJ pathway    

Acquired immune thrombotic thrombocytopenic purpura (TTP) associated with inactivated COVID-19 vaccine CoronaVac

Frontiers of Medicine doi: 10.1007/s11684-023-1054-2

Abstract: Corona virus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has affected the whole world. Acquired thrombotic thrombocytopenic purpura (TTP) has been reported after administration of mRNA- or adenoviral vector-based COVID-19 vaccines, including Ad26.COV2-S, BNT162b2, mRNA-1273, and ChAdOx1 nCov-19. However, whether inactivated vaccines, such as CoronaVac, could cause TTP and whether the symptoms in TTPs caused by inactivated vaccines are different from previously reported cases are unknown. In this study, two cases were reported. Both cases developed TTP after the second CoronaVac vaccination shot, but not the first. They demonstrated symptoms of fever, neurological abnormalities, renal dysfunction, thrombocytopenia, and hemolysis. Both patients achieved complete remission through several sessions of plasma exchanges and immune suppression. The incidence of TTP in Nanjing area was analyzed. The number of patients with TTP was 12 in 2019, 6 in 2020, 16 in 2021, and 19 in 2022. To the authors’ knowledge, this report is the first report of TTP associated with inactivated COVID-19 vaccine (CoronaVac). The rarity and delayed onset may be due to the relatively milder immune response caused by the inactivated vaccines than mRNA-based ones. Timely plasma exchange is a vital treatment for CoronaVac-related TTP, similar to activated vaccine-related TTP.

Keywords: thrombotic thrombocytopenia purpura (TTP)     corona virus disease 2019 (COVID-19)     CoronaVac     acute respiratory syndrome coronavirus 2 (SARS-CoV-2)     vaccine    

Efficacy of acupuncture in refractory irritable bowel syndrome patients: a randomized controlled trial

Frontiers of Medicine doi: 10.1007/s11684-024-1073-7

Abstract: Previous studies have confirmed that acupuncture for irritable bowel syndrome (IBS) provided an additional benefit over usual care alone. Therefore, we performed a multicenter, randomized, sham-controlled trial to assess the efficacy and safety of acupuncture versus sham acupuncture for refractory IBS in patients in the context of conventional treatments. Patients in the acupuncture and sham acupuncture groups received real or sham acupuncture treatment in 3 sessions per week for a total of 12 sessions. The primary outcome was a change in the IBS–Symptom Severity Scale (IBS-SSS) score from baseline to week 4. A total of 521 participants were screened, and 170 patients (85 patients per group) were enrolled and included in the intention-to-treat analysis. Baseline characteristics were comparable across the two groups. From baseline to 4 weeks, the IBS-SSS total score decreased by 140.0 (95% CI: 126.0 to 153.9) in the acupuncture group and 64.4 (95% CI: 50.4 to 78.3) in the sham acupuncture group. The between-group difference was 75.6 (95% CI: 55.8 to 95.4). Acupuncture efficacy was maintained during the 4-week follow-up period. There were no serious adverse events. In conclusion, acupuncture provided benefits when combined with treatment as usual, providing more options for the treatment of refractory IBS.

Keywords: acupuncture     functional gastrointestinal disorders     irritable bowel syndrome     clinical trial    

Title Author Date Type Operation

Comprehensive Review and Future Trend Outlook on Energy Utilization Technologies in Low-Carbon Energy Systems

Zhang Chuan, Hu Peiyu, Yin Gege , Yan Wubin , Xu Shiwei, Cao Ruming, Feng Yinan, Zhao Mingsheng , Yang Lei , Jin Zhijun

Journal Article

Compact solar-powered plasma water generator: enhanced germination of aged seed with the corona dielectric barrier discharger

Journal Article

Selection of digital fabrication technique in the construction industry—A multi-criteria decision-making approach

Journal Article

Geometric quality evaluation of three-dimensional printable concrete using computational fluid dynamics

Journal Article

Numerical analysis on seismic response and failure mechanism of articulated pile−structure system in a liquefiable site from shaking-table experiments

Journal Article

Allocating redundancy, maintenance and spare parts for minimizing system cost under decentralized repairs

Journal Article

Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT

Journal Article

Assessing the potential impacts of public transport-based crowdshipping: A case study in a central district of Copenhagen

Journal Article

Visualizing blockchain in construction projects: Status quo, challenges, and a guideline for implementation

Journal Article

Artificial intelligence in infrastructure construction: A critical review

Journal Article

Regulations of mA and other RNA modifications and their roles in cancer

Journal Article

lncRNA Gm20257 alleviates pathological cardiac hypertrophy by modulating the PGC-1–mitochondrial complex IV axis

Journal Article

Epigenetic silencing of BEND4, a novel DNA damage repair gene, is a synthetic lethal marker for ATM inhibitor in pancreatic cancer

Journal Article

Acquired immune thrombotic thrombocytopenic purpura (TTP) associated with inactivated COVID-19 vaccine CoronaVac

Journal Article

Efficacy of acupuncture in refractory irritable bowel syndrome patients: a randomized controlled trial

Journal Article