Optimal design of pipelines network for CO2 transport

Carbon capture and storage (CCS) is widely regarded as an important technical alternative to mitigate CO2 emission. But the planning of the deployment of CCS infrastructure has been a challenging problem, because many constraints have to be considered simultaneously, with a great number of sources and sinks. Moreover, some inevitable nonlinear factors in real-life cases make the design problem even more complex. In this study, an mixed-integer programming (MIP) model for optimal design of pipeline network for CO2 transport in previous studies is retrofitted, and geographical impacts on the pipeline construction cost is incorporated, which is realized on a combined platform of GAMS and ArcGIS. The new model is also applied to a real-life case in Texas to test its performance. The design result shows that the new model is effective and comprehensive for pipeline networks design

The New Is Old: Novel Germination Strategy Evolved From Standing Genetic Variation in Weedy Rice

Feralization of crop plants has aroused an increasing interest in recent years, not only for the reduced yield and quality of crop production caused by feral plants but also for the rapid evolution of novel traits that facilitate the evolution and persistence of weedy forms. Weedy rice (Oryza sativa f. spontanea) is a conspecific weed of cultivated rice, with separate and independent origins. The weedy rice distributed in eastern and northeastern China did not diverge from their cultivated ancestors by reverting to the pre-domestication trait of seed dormancy during feralization. Instead, they developed a temperature-sensing mechanism to control the timing of seed germination. Subsequent divergence in the minimum critical temperature for germination has been detected between northeastern and eastern populations. An integrative analysis was conducted using combinations of phenotypic, genomic and transcriptomic data to investigate the genetic mechanism underlying local adaptation and feralization. A dozen genes were identified, which showed extreme allele frequency differences between eastern and northeastern populations, and high correlations between allele-specific gene expression and feral phenotypes. Trancing the origin of potential adaptive alleles based on genomic sequences revealed the presence of most selected alleles in wild and cultivated rice genomes, indicating that weedy rice drew upon pre-existing, “conditionally neutral” alleles to respond to the feral selection regimes. The cryptic phenotype was exposed by activating formerly silent alleles to facilitate the transition from cultivation to wild existence, promoting the evolution and persistence of weedy forms

Enhanced Extraction of Alkaline Metals and Rare Earth Elements from Unconventional Resources during Carbon Sequestration

With the increase of the the global energy consumption has also been increasing, which is about 18 TW nowadays (Dudley, 2018), the anthropogenic CO2 emissions have also been increasing, which is about 410 ppm nowadays (Dudley, 2018; Tans & Keeling, 2019). Numerous evidences have been reported indicating that high atmospheric CO2 concentration can have significant greenhouse effect and thus lead to global warming and climate change (Pachauri et al, 2014; Hansen et al, 2013). Therefore, measures need to be taken to control and reduce the atmospheric CO2 concentration. In such circumstance, carbon capture, utilization and storage (CCUS) technologies have been proposed and developed to close the carbon cycle. Mineral carbonation (MC) is one of the CCUS technologies, which mimics the natural silicate weathering process to react CO2 with silicate materials so that carbon can be stabilized in the form of insoluble carbonates for permanent carbon storage (Seifritz, 1990; Lackner et al, 1995). Both Ca- or Mg-bearing silicate minerals and alkaline silicate industrial wastes can be employed as the feedstock for mineral carbonation (Sanna et al, 2014; Gadikota et al, 2014; Park, 2005; Park & Fan, 2004; Park et al, 2003; Park & Zhou, 2017; Zhou, 2014; Zhao, 2014; Swanson, 2014). While they share similar chemistries and total Mg and Ca contents, different MC feedstock can lead to different challenges for CCUS. As for silicate minerals, although they have large enough capacity to mineralize all the anthropogenic CO2 emissions, their reactivities are generally very low, and measures should be developed to accelerate the carbonation kinetics of the minerals (Sanna et al, 2014). However, the elemental extraction of the silicate minerals is a relatively complicated kinetic process, because silica-rich passivation layer can form on the particle surface during mineral dissolution process and thus the rate-limiting step of the process can change from chemical reaction to mass transfer. Without a clear understanding of the elemental extraction kinetics, the design and evaluation of different acceleration methods aiming at different rate-limiting steps of the process can be challenging. As for alkaline industrial wastes, they are generally more reactive than silicate minerals, but can be more heterogeneous with more complicated compositions. In such cases, the separation and recovery of other elements should also be integrated with the carbonation process so that the overall sustainability of the mineral carbonation technology can be enhanced. In order to address these challenges, this study focused on the fundamental understanding of dissolution and carbonation behaviors of alkaline silicate materials and integration of step-wise separations of rare-earth elements (REEs). Both experimental and modeling studies were carried out to provide insights into how Mg and Ca as well as REEs are leaching into solvents at different conditions, and the fundamental understandings on mineral dissolution kinetics and mechanisms were also put forward. The fate of REEs in different product streams was also identified, and methods were developed and optimized to recover and concentrate REEs, while producing solid carbonates with highest purities. Hopefully, the findings in this study can not only advance the carbon mineralization technology but also contribute to the utilization and extraction of alkaline metals, as well as REEs, from other complex unconventional resources for the sustainable energy and material future

Efficacy of intraoperative subanesthetic dose of ketamine/esketamine in preventing postoperative cognitive dysfunction: a systematic review and meta-analysis

Background: Postoperative cognitive dysfunction (POCD) is a common complication after anesthesia surgery, especially in older people, that can persist weeks or months after surgery as a short-term impairment of cognitive abilities, or even for a prolonged duration over years, potentially progressing into permanent cognitive dysfunction. However, the pathogenesis of POCD is not fully understood, and therefore an optimal solution for preventing POCD has yet to be established. Some studies have shown that intraoperative ketamine/esketamine reduces the incidence of POCD, but this remains controversial. Objectives: We evaluated the effect of intraoperative subanesthetic doses of ketamine/esketamine versus no intervention in adults undergoing general anesthesia surgery on the incidence of POCD. Data Sources: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and searched the PubMed, Embase, Ovid, Cochrane, Scopus, and Web of Science databases for the MeSH terms ‘ketamine’, ‘esketamine’, and ‘Postoperative Cognitive Complications’ from database inception to 25 June 2023. Results: We found no statistically significant difference in the incidence of POCD within 7 days for intraoperative subanesthetic dose of ketamine/esketamine compared with the control group [relative risk (RR) = 0.57, 95% confidence interval (CI): 0.32, 1.01], and the results from the subgroup analysis based on age (>60 years) also revealed that the difference was not statistically significant (RR = 0.49, 95% CI: 0.23, 1.04). Conclusion: Compared with controls, intraoperative subanesthetic dose of ketamine/esketamine has no advantage in preventing POCD in patients, or in elderly patients. This study provides reference data for POCD research and clinical drug intervention strategies. Registration: Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42023401159)

Control Optimization of Small-Scale Thrust-Vectoring Vertical/Short Take-Off and Landing Vehicles in Transition Phase

The core of the short takeoff and landing problem in thrust-vectoring V/STOL vehicles is the tilt angle control of the thrust vector nozzles. This work resolves it by figuring out the optimal tilt angle time history with optimization methods. Since the optimization process is constrained by the transition corridor of the vehicle and the mission requirements, the transition corridor is firstly established by the AES theory with the longitudinal model of the V/STOL protype, where the jet-induced effect of the 3BSD nozzle and the lift fan are especially considered. In addition, the control redundancy caused by the multiple physical control actuators is addressed by a suitable control allocation and flight-mode-based control strategy, which ensures a smooth conversion. By establishing appropriate mission references and optimization constraints, the optimal control strategy and the corresponding transition process are obtained, based on the direct inverse and SQP algorithms

Commuting Pattern Recognition Using a Systematic Cluster Framework

Identifying commuting patterns for an urban network is important for various traffic applications (e.g., traffic demand management). Some studies, such as the gravity models, urban-system-model, K-means clustering, have provided insights into the investigation of commuting pattern recognition. However, commuters’ route feature is not fully considered or not accurately characterized. In this study, a systematic framework considering the route feature for commuting pattern recognition was developed for urban road networks. Three modules are included in the proposed framework. These modules were proposed based on automatic license plate recognition (ALPR) data. First, the temporal and spatial features of individual vehicles were extracted based on the trips detected by ALPR sensors, then a hierarchical clustering technique was applied to classify the detected vehicles and the ratio of commuting trips was derived. Based on the ratio of commuting trips, the temporal and spatial commuting patterns were investigated, respectively. The proposed method was finally implemented in a ring expressway of Kunshan, China. The results showed that the method can accurately extract the commuting patterns. Further investigations revealed the dynamic temporal-spatial features of commuting patterns. The findings of this study demonstrate the effectiveness of the proposed method in mining commuting patterns at urban traffic networks

Control Optimization of Small-Scale Thrust-Vectoring Vertical/Short Take-Off and Landing Vehicles in Transition Phase

The core of the short takeoff and landing problem in thrust-vectoring V/STOL vehicles is the tilt angle control of the thrust vector nozzles. This work resolves it by figuring out the optimal tilt angle time history with optimization methods. Since the optimization process is constrained by the transition corridor of the vehicle and the mission requirements, the transition corridor is firstly established by the AES theory with the longitudinal model of the V/STOL protype, where the jet-induced effect of the 3BSD nozzle and the lift fan are especially considered. In addition, the control redundancy caused by the multiple physical control actuators is addressed by a suitable control allocation and flight-mode-based control strategy, which ensures a smooth conversion. By establishing appropriate mission references and optimization constraints, the optimal control strategy and the corresponding transition process are obtained, based on the direct inverse and SQP algorithms

Achieving “Non-Foaming” Rhamnolipid Production and Productivity Rebounds of <i>Pseudomonas aeruginosa</i> under Weakly Acidic Fermentation

The rhamnolipid production of Pseudomonas aeruginosa has been impeded by its severe foaming; overcoming the bottleneck of foaming has become the most urgent requirement for rhamnolipid production in recent decades. In this study, we performed rhamnolipid fermentation under weakly acidic conditions to address this bottleneck. The results showed that the foaming behavior of rhamnolipid fermentation broths was pH-dependent with the foaming ability decreasing from 162.8% to 28.6% from pH 8 to 4. The “non-foaming” rhamnolipid fermentation can be realized at pH 5.5, but the biosynthesis of rhamnolipids was significantly inhibited. Further, rhamnolipid yield rebounded from 8.1 g/L to 15.4 g/L after ultraviolet and ethyl methanesulfonate compound mutagenesis. The mechanism study showed that the species changes of rhamnolipid homologs did not affect the foaming behavior of the fermentation but had a slight effect on the bioactivity of rhamnolipids. At pH 8.0 to 5.0, increased surface tension, decreased viscosity and zeta potential, and aggregation of rhamnolipid molecules contributed to the “non-foaming” rhamnolipid fermentation. This study provides a promising avenue for the “non-foaming” rhamnolipid fermentation and elucidates the mechanisms involved, facilitating the understanding of pH-associated foaming behavior and developing a more efficient strategy for achieving rhamnolipid production

Differentially Expressed microRNAs and Target Genes Associated with Plastic Internode Elongation in Alternanthera philoxeroides in Contrasting Hydrological Habitats

Phenotypic plasticity is crucial for plants to survive in changing environments. Discovering microRNAs, identifying their targets and further inferring microRNA functions in mediating plastic developmental responses to environmental changes have been a critical strategy for understanding the underlying molecular mechanisms of phenotypic plasticity. In this study, the dynamic expression patterns of microRNAs under contrasting hydrological habitats in the amphibious species Alternanthera philoxeroides were identified by time course expression profiling using high-throughput sequencing technology. A total of 128 known and 18 novel microRNAs were found to be differentially expressed under contrasting hydrological habitats. The microRNA:mRNA pairs potentially associated with plastic internode elongation were identified by integrative analysis of microRNA and mRNA expression profiles, and were validated by qRT-PCR and 5′ RLM-RACE. The results showed that both the universal microRNAs conserved across different plants and the unique microRNAs novelly identified in A. philoxeroides were involved in the responses to varied water regimes. The results also showed that most of the differentially expressed microRNAs were transiently up-/down-regulated at certain time points during the treatments. The fine-scale temporal changes in microRNA expression highlighted the importance of time-series sampling in identifying stress-responsive microRNAs and analyzing their role in stress response/tolerance

Additional file 2 of Genetic structure of an endangered species Ormosia henryi in southern China, and implications for conservation

Additional file 2: Fig S1. Potential SNPs under selection identified by BayeScan. The vertical solid line represents the threshold for being under selection after correction with false discovery rate (0.05). Six SNPs colored in red were probably under selection. Fig S2. Cross-validation (CV) errors of 10 repeat runs under different K values. Fig. S3. Demographic history of three genetic groups of Ormosia henryi inferred by Stairway Plot 2. The x-axis indicates the time before the present, and the y-axis represents the historical effective population size. The first genetic group were not used in the demographic history analysis due to the small number of individuals