Air Space Research Articles

Curved flight procedure construction with site-specific statistical meteorological data: A Swedish example

This paper presents a study of using site-specific statistical meteorological data in the construction of curved flight procedures to explore its potential in reducing the environmental impact of air traffic near the airports. In the study, the statistical meteorological data which covers a 10-year period of time, from 2009 to 2018, have been collected for the air space centred two major Swedish airports, Arlanda at Stockholm (ESSA) and Landvetter at Göteborg (ESGG). Two procedure design practices, one is an area navigation (RNAV) standard instrument departure (SID) procedure from runway 08 of Arlanda airport and another is a required navigation performance authorization required (RNP AR) approach procedure heading to the runway 03 at Landvetter airport, have been performed and analysed. Applying the 95th percentile wind speed from statistical meteorological data, instead of the ICAO standardized tailwind component (TWC), offers varying benefits depending on the specific case. For the RNAV SID procedure from ESSA, the part of the designed departure path which is outside of the regulated noise dispersion area is significantly reduced. Whilst for the RNP AR approach procedure to ESGG, the smaller turning radius resulted from the lower TWC which is calculated from the local meteorological data makes it possible to avoid flying over an inhabited area. Besides the notable potential of noise impact reduction, flight distance shortening of 3.7 NM (RNAV SID ESSA case) and 1 NM (RNP AR ESGG case) compared to the same procedures designed on ICAO standard TWC have been observed. In general, the presented results are positive in supporting the use of local meteorological data in planning curved flight procedures during departures and approaches. A validation performed using an A320 full flight simulator has confirmed the operability of the ESGG RNP AR procedure from the design practice. In the full flight simulator, even with the 100th percentile wind condition from the collected statistical meteorological data, the designed RNP AR approach procedure can be operable considering RNP 0.3 corridor while a 30° bank angle is required for approximately 20 seconds during the turn.

A Novel First-Order Kinetic Model for Simultaneous Anaerobic–Aerobic Degradation of Municipal Solid Waste in Landfills

A first-order kinetic model for the simultaneous anaerobic–aerobic degradation of municipal solid waste (MSW) is presented in the study. The model incorporates the effect of oxygen concentration on anaerobic degradation, enabling the coexistence of anaerobic and aerobic processes within specific oxygen ranges. The model can thoroughly consider the impacts of temperature, moisture content, oxygen concentration, and free air space (FAS) on the degradation rates of five substrates, i.e., holocellulose, non-cellulosic sugars, proteins, lipids, and lignin. The model was successfully verified against two experimental results. The sequential model underestimates both compression strain and degradation ratio, with peak underestimation ratios of 8.7% and 9.2%, respectively. Using the simultaneous model, the effects of anaerobic age, temperature, and aeration rate on landfill aerobic remediation efficacy are quantitatively assessed. Two evaluation criteria, namely the advance rate of aerobic remediation stabilization time (Rt) and the degradation rate after 100 days of aerobic remediation (λ100a), are adopted. The results indicate the following: (1) Rt is more sensitive to anaerobic age and temperature, while λ100a is more affected by anaerobic age and aeration rate; (2) under optimal conditions, Rt and λ100a can reach 86.3% and 70.9%, respectively. The present model provides a crucial theoretical framework for evaluating aerobic remediation effectiveness in both anaerobic sanitary landfills and informal landfills, offering valuable insights for practical implementation and management.

Habitat-based CT radiomics enhances the ability to predict spread through air spaces in stage T1 invasive lung adenocarcinoma.

Spread through air spaces (STAS) represents a novel invasive pattern in lung adenocarcinoma (LUAD) and is a risk factor for poor prognosis in stage T1 LUAD. This study aims to develop and validate a CT habitat imaging analysis model for predicting STAS in stage T1 invasive LUAD. We retrospectively analyzed 217 patients with preoperative stage T1 invasive LUAD (115 STAS-positive and 102 STAS-negative cases, including 151 in the train set and 66 in the test set). Semi-automatic segmentation was performed on the regions of interest (ROIs) in all CT images, with an automatic 3mm expansion around the tumor, considering the intratumoral and peritumoral 3mm area. This area was divided into three sub-regions via K-means clustering, and 1197 radiomic features were extracted from each sub-region and the overall combined region. After dimension reduction through the Mann-Whitney U test, Pearson correlation analysis, and least absolute shrinkage and selection operator(LASSO), the best features for each sub-region and overall were selected. Models were then built using the selected radiomic features through the Adaptive Boosting (AdaBoost) and Multilayer Perceptron (MLP) classifiers. Four different models were established based on different sub-regions and the overall features. The performance of these models was evaluated through receiver operating characteristic curves (AUC) under the DeLong test, calibration curves via the Hosmer-Lemeshow test, and decision curve analysis to assess the performance of these features. In this study, we evaluated the predictive performance of AdaBoost and MLP classifiers on rad feature models across various subregions and the overall dataset. In the test set, the AdaBoost classifier achieved a maximum AUC of 0.871 in Habitat 3, whereas the MLP classifier demonstrated slightly superior performance with an AUC of 0.879. Both classifiers exhibited high efficiency in habitat 3, with the MLP algorithm showing enhanced model performance. CT habitat imaging analysis for the preoperative prediction of STAS in stage T1 invasive LUAD shows satisfactory diagnostic performance, with the habitat3 model exhibiting the highest efficacy, reflecting tumor heterogeneity.

How Morphology Shapes Survival in Invasive Squamous Cell Carcinoma of the Lung.

Squamous cell carcinoma (SQCC) represents a significant proportion of human malignancies affecting various anatomical sites, including the lung. Understanding the prognostic factors is crucial for establishing effective risk stratification in these patients, as multiple critical aspects significantly impact overall survival. A retrospective study was conducted on 99 patients with operable lung SQCC treated at a tertiary center. The exclusion criteria included patients under 18, those with in situ or metastatic SQCC, and those who received neoadjuvant therapy. The surgical specimens were re-analyzed, and data were collected on multiple variables, including pTNM staging, tumor characteristics, and overall survival (OS). The Kaplan-Meier survival analysis and Cox regression models were used to identify significant prognostic factors. The Kaplan-Meier analysis showed a median survival of 36 months with a 65.65% mortality rate. Significant factors influencing survival included keratinization, histological grading, tumor size and stage, pleural invasion, tumor cell arrangement, tumor budding, spread through air space (STAS), and mitotic index. A multiple Cox regression highlighted the nonkeratinizing tumors, advanced pT stages, single-cell invasion, and high mitotic index as key predictors of poorer outcomes. The nonkeratinizing tumors showed higher mortality and shorter median survival rates compared to keratinizing tumors. The tumor staging, cell arrangement, and tumor budding significantly impacted the survival curves. The study underscores the importance of detailed histopathological evaluations in lung SQCC. The nonkeratinizing tumors, advanced pT stage, single-cell invasion, and high mitotic index were associated with higher hazard rates, emphasizing the need for a comprehensive grading system incorporating these factors to improve prognostic accuracy and guide treatment strategies.

Spatial analyses revealed S100P + TFF1 + tumor cells in spread through air spaces samples correlated with undesirable therapy response in non-small cell lung cancer

Spread through air spaces (STAS) is a recognized aggressive pattern in lung cancer, serving as a crucial risk factor for postoperative recurrence. However, its phenotype and related spatial structure have remained elusive. To address these limitations, we conducted a comprehensive study based on spatial data, analyzing over 30,000 spots from 14 non-STAS samples and one STAS sample. We observed increased proliferation activities and angiogenesis in STAS, identifying S100P as a potential biomarker for STAS. Furthermore, our investigation into the heterogeneity of STAS tumor cells revealed a subset identified as S100P + TFF1 +, exhibiting a negative impact on patients' survival in public datasets. This subtype exhibited the highest activities in the TGFb and hypoxia, suggesting its potential pro-tumor role within the tumor microenvironment. To assess the role of S100P + TFF1 + tumor cells in therapy response, we included data from two clinical trial cohorts (BPI-7711 for EGFR-TKI therapy and ORIENT-3 for immunotherapy). The presence of S100P + TFF1 + tumor cells correlated with worse responses to both EGFR-TKI therapy and immunotherapy. Notably, TFF1 emerged as a serum marker for predicting EGFR-TKI response. Cell–cell communication analysis revealed that the TGFb signaling pathway was the most activated in S100P + TFF1 + tumor cells, with TGFB2-TGFBR2 identified as the main ligand-receptor pair. This was further validated by multiplex immunofluorescence performed on twenty NSCLC samples. In summary, our study identified S100P as the biomarker for STAS and highlighted the adverse role of S100P + TFF1 + tumor cells in survival outcomes.

The Role of the Extracellular Matrix in the Pathogenesis and Treatment of Pulmonary Emphysema.

Pulmonary emphysema involves progressive destruction of alveolar walls, leading to enlarged air spaces and impaired gas exchange. While the precise mechanisms responsible for these changes remain unclear, there is growing evidence that the extracellular matrix plays a critical role in the process. An essential feature of pulmonary emphysema is damage to the elastic fiber network surrounding the airspaces, which stores the energy needed to expel air from the lungs. The degradation of these fibers disrupts the mechanical forces involved in respiration, resulting in distension and rupture of alveolar walls. While the initial repair process mainly consists of elastin degradation and resynthesis, continued alveolar wall injury may be associated with increased collagen deposition, resulting in a mixed pattern of emphysema and interstitial fibrosis. Due to the critical role of elastic fiber injury in pulmonary emphysema, preventing damage to this matrix component has emerged as a potential therapeutic strategy. One treatment approach involves the intratracheal administration of hyaluronan, a polysaccharide that prevents elastin breakdown by binding to lung elastic fibers. In clinical trials, inhalation of aerosolized HA decreased elastic fiber injury, as measured by the release of the elastin-specific cross-linking amino acids, desmosine, and isodesmosine. By protecting elastic fibers from enzymatic and oxidative damage, aerosolized HA could alter the natural history of pulmonary emphysema, thereby reducing the risk of respiratory failure.

Interference effect of frequency selective surface on lightning attachment

Airborne electromagnetic functional devices represented by frequency selective surface (FSS) are receiving increasing attention due to the ever-growing complication of electromagnetic environment in air space. Previous investigations have highlighted the capability of FSS to induce the distorted electric field encompassing an airborne radome. This phenomenon interferes with lightning attachment behavior and compromises the effectiveness of anti-lightning devices. A current challenge is how to reveal the physical mechanism behind this interference. In this paper, a lightning model is established for a honeycomb sandwich composite-FSS structure and a single FSS array, respectively, to investigate the interference effect of FSS on lightning attachment. Arc behavior is verified by structural damage characteristics in relevant experiments. An equivalent circuit representing the process of an FSS array suffering a lightning strike is proposed to reveal the interference mechanism of FSS. The results indicate that the electrical connectivity of FSS has a significant impact on lightning attachment behavior. Patch FSS can induce partial discharge and exacerbate interface damage to a radome while aperture FSS eases energy accumulation, although the latter is prone to induce lightning leaders without integration with composites. The obtained results provide potential guidance for the structural and anti-lightning design of an airborne radome.

Protective effect of recombinant interleukin-10 on newborn rat lungs exposed to short-term sublethal hyperoxia.

Lung injury imposed by hyperoxia is the main cause of bronchopulmonary dysplasia in newborns. These injuries are generated from the early stage of hyperoxia through the main biologic effects of cell death and inflammatory response. Interleukin (IL)-10 is a potent anti-inflammatory cytokine that may have the inhibitory effects on these biologic actions induced by hyperoxia. Based on our former in vitro studies investigating the effect of recombinant IL-10 (rIL-10) on protecting cultured alveolar type II cells exposed to short-term hyperoxia, we performed the in vivo study to investigate the effect of rIL-10 in newborn rats aged P4 exposed to hyperoxia. Rats were classified into 3 groups; the control group exposed to normoxia for 24 hours; the hyperoxia group exposed to 65% hyperoxia for 24 hours; and the IL10 group treated with intratracheal instillation of rIL-10 prior to exposure to 65% hyperoxia for 24 hours. Following each treatment, the rats were euthanized. Individual lobes of the right lung were prepared for hematoxyling and eosin (H&E) staining and immunohistochemical staining for thyroid transcription factor-1 (TTF1). Bronchoalveolar lavage (BAL) was performed in the left lung to analyze cell counts and cytokines. The IL10 group showed preserved air spaces similar to the control group, with decreased cellularity compared to the hyperoxia group, whereas the hyperoxia group showed markedly reduced air spaces with increased cellularity compared to the IL10 group. And, the IL10 group showed more TTF1-positive cells, which represented alveolar type II cells, compared to the hyperoxia group. Inflammatory cells, such as neutrophils and lymphocytes and proinflammatory cytokines of tumor necrosis factor-α, IL-1α, IL-8, and macrophage inflammatory protein-1α were significantly lower in BAL fluid of the IL10 group compared to the hyperoxia group. These results indicate that rIL-10 may be a promising pharmaceutical measure for protecting newborn lungs from injury induced at the early stage of hyper oxia.

EP.07G.01 Computed Tomography Features of Pathological Stage IA Lung Adenocarcinoma Showing Spread Through Air Spaces.

EP.07G.01 Computed Tomography Features of Pathological Stage IA Lung Adenocarcinoma Showing Spread Through Air Spaces.

EP.07F.02 Preoperative Tumor-Derived Exosomes Enhanced the Accuracy of Identifying Spread Through Air Spaces from Intraoperative Frozen Sections

EP.07F.02 Preoperative Tumor-Derived Exosomes Enhanced the Accuracy of Identifying Spread Through Air Spaces from Intraoperative Frozen Sections

EP.04E.06 The Prediction of Spread Through Air Spaces with Preoperative 18F-FDG PET/CT in Clinical Stage I Lung Cancer

EP.04E.06 The Prediction of Spread Through Air Spaces with Preoperative 18F-FDG PET/CT in Clinical Stage I Lung Cancer

EP.07G.02 Nomogram Model for Predicting Risk of Spread Through Air Space in Stage IA Sub-centimeter Non-Small Cell Lung Cancer

EP.07G.02 Nomogram Model for Predicting Risk of Spread Through Air Space in Stage IA Sub-centimeter Non-Small Cell Lung Cancer

Feasibility of intraoperative assessment of STAS in pathologic stage 1 lung adenocarcinomas in Chinese patients

BackgroundIntraoperative assessment of tumor spread through air spaces (STAS) in early-stage lung adenocarcinomas (ADC) has been proposed to stratify patients for surgical management. However, data on the accuracy and reproducibility of detecting STAS on frozen sections (FS) and the prognostic value of STAS on FS remain limited and contradictory. MethodsWe conducted a retrospective study on the feasibility of intraoperative assessment of STAS by comparing the STAS patterns identified on FS and permanent sections from 524 patients diagnosed with pathologic stage 1 lung ADC. We also evaluated the association between STAS with patients’ clinicopathological characteristics and their postoperative survival outcomes. ResultsSTAS was identified in 117 out of 524 patients (22.3%) on permanent sections. Patients with STAS identified on permanent sections experienced shorter progression-free survival (PFS; P=0.042) and overall survival (OS; P=0.005) compared to those without. STAS was identified in 87 out of 509 patients on FS. Patients with STAS detected on FS also had shorter PFS (P=0.01) and OS (P<0.001) than those without. Compared to permanent sections, STAS detection on FS yielded 66.73% (74/111) sensitivity, 96.7% (385/398) specificity, 85.1% (74/87) positive predictive value, 91.2% (385/422) negative predictive value, and 90.2% (459/509) overall agreement. The kappa coefficient was 0.688 (P < 0.001). ConclusionsOur results from a large series of Chinese patients with stage 1 lung ADC indicated that STAS was associated with poorer survival outcomes on both FS and permanent sections. FS is a highly specific method for assessing STAS in stage 1 lung ADC, but caution is warranted regarding false-positive results.

Optimisation of bioaerosol sampling using an ultralight aircraft: A novel approach in determining the 3-D atmospheric biodiversity

Bioaerosols, such as pollen and fungal spores, are routinely monitored for agricultural, medical or urban greening practices, but sampling methodology is largely relying on techniques more than half a century old. Moreover, biomonitoring campaigns often take place in urban environments, although sources can be located outside cities’ borders with ampler vegetation. Therefore, the question arises whether we are accurately picturing the biodiversity and abundance of regional bioaerosols and whether those locally detected might derive from long-distance transport, horizontally or vertically. To answer the above, we used novel, mobile monitoring devices, and aerial measurement units, like aircrafts, so as to explore bioaerosol concentrations at a variety of altitudes.An ultralight aircraft was equipped with a sampling device for bioaerosols. The device consisted of duplicate isokinetic impactors that match the physical functioning and the microscopic quantification method of the widely used ground-based Hirst-type impactors. Isokinetic airflow was realized by adjusting the air flux at the impactors’ inlet to the airspeed of the aircraft. Three campaigns were made, where the comparability, efficiency and accuracy of different sampling devices were determined, namely of the abovementioned impactor, and of the mobile conventional Hirst-type pollen sampler. The campaigns involved measurements from ground level (0 m altitude) up to 900 m (above ground level (agl)) via flights.Our results showed that aircraft-based airborne pollen concentration measurements were consistently higher than those of all other devices, regardless of the altitude and sampling time. It is noteworthy that the pollen concentration exceeded 500 pollen grains/m3 at >900 m of altitude, this concentration being 1.77 times higher than that simultaneously measured at ground level. Likewise, the diversity of pollen was also higher at higher altitude.Our results indicate the usability and superiority of small aircraft and high-flow impactors for research, achieving higher biodiversity and abundance over a shorter sampling interval compared to conventional volumetric techniques. Higher pollen amounts at higher altitudes also point at the necessity to monitor bioaerosols across the vertical dimension, especially in densely populated areas and high-traffic air space.

MODELING THE ENTRY OF AIR CONTAMINANTS INTO A ROOM

A mathematical model of air contaminant (products of human activity) inflow into the isolated air space has been developed. On the basis of the formula modified by us the simulation of human respiration with carbon dioxide, water vapor and heat emission is implemented. The model also takes into account the heat input from the human body through clothing. Applying numerical modelling ANSYS CFD (Computational Fluid Dynamics) on the basis of continuity equations and Reynolds-Averaged Navier-Stokes equations "RANS" (Reynolds-Averaged Navier-Stokes) the following results on air medium state change in the isolated space were obtained: - the human respiratory cycle is modelled at simultaneous heat transfer from the body surface through clothes into the studied air space; - the exponential equation of the trend line of concentration to observation time was obtained; - monitoring and rendering (visualization) of changes in concentration, temperature and relative humidity in the space under study by time along the room height was performed. These results and regularities served as initial data for solving a number of model non-stationary problems on aerodynamics and heat and mass transfer in the room. The inverse problem of general exchange ventilation was to be solved. Changes in the state of the air environment initially contaminated with carbon dioxide, heat and water vapors were studied when people were in the studied space and the supply and exhaust ventilation was operating. Of the four air change schemes planned for the study, the results for one schemes are presented in this publication. The dynamics of assimilation of excess heat, humidity and carbon dioxide made it possible to assess the efficiency of ventilation systems and to predict improvements in their energy efficiency when air parameters are brought up to standard values.

A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints

Combining multiple data sources, Digital Earth is an integrated observation platform based on air–space–ground–sea monitoring systems. Among these data sources, the Inverse Synthetic Aperture Radar (ISAR) is a crucial observation method. ISAR is typically utilized to monitor both military and civilian ships due to its all-day and all-weather superiority. However, in complex scenarios, multiple targets may exist within the same radar antenna beam, resulting in severe defocusing due to different motion conditions. Therefore, this paper proposes a multiple-target ISAR imaging method with the removal of micro-motion connections based on the integration of joint constraints. The fully motion-compensated targets exhibit low rank and local similarity in the high-resolution range profile (HRRP) domain, while the micro-motion components possess sparsity. Additionally, targets display sparsity in the image domain. Inspired by this, we formulate a novel optimization by promoting the low-rank, the Laplacian, and the sparsity constraints of targets and the sparsity constraints of the micro-motion components. This optimization problem is solved by the linearized alternative direction method with adaptive penalty (LADMAP). Furthermore, the different motions of various targets degrade their inherent characteristics. Therefore, we integrate motion compensation transformation into the optimization, accordingly achieving the separation of rigid bodies and the micro-motion components of different targets. Experiments based on simulated data demonstrate the effectiveness of the proposed method.

Lung volumes by CT and plethysmography: are we measuring the same? - CanCOLD study data

BackgroundMeasurement of lung volumes forms an integral part of pulmonary function testing. Lung volumes determined by CT scans are well established, but the comparability to other methods like plethysmography in large cohorts remains in question.MethodsCanCOLD is a prospective longitudinal cohort study from Canada, including three matched groups of individuals with COPD I-II, smokers at risk and healthy controls. All participants underwent lung volume measurement by plethysmography and CT, using inspiratory and expiratory imaging. We compared total lung capacity (TLC) and residual volume (RV) in the different cohorts between plethysmography and CT.ResultsData from 1235 (518 females) individuals were analysed. Baseline characteristics were comparable in all three groups. Significant differences between CT and plethysmography could be observed in all groups, with consistently higher TLC and lower RV by plethysmography, respectively. Correlation was strong for TLC between the methods of measurement with a very stable bias of about 1.68 liters for all groups, but the correlation was only low/moderate for RV. Variability of differences seemed to be higher for RV. No correction for supine position or dead air space was used for CT based measurements.ConclusionMeasurement of TLC and RV by plethysmography yields higher and lower values than by CT, respectively, so results of the different methods should not be used interchangeably.

Growing at the arid edge: Anatomical variations in leaves are more extensive than in stems of five Mediterranean species across contrasting moisture regimes.

Increasing aridity in the Mediterranean region affects ecosystems and plant life. Various anatomical changes in plants help them cope with dry conditions. This study focused on anatomical differences in leaves and xylem of five co-occurring Mediterranean plant species namely Quercus calliprinos, Pistacia palaestina, Pistacia lentiscus, Rhamnus lycioides, and Phillyrea latifolia in wet and dry sites. Stomatal density, stomatal length, leaf mass area, lamina composition, percentage of intercellular air spaces, and mesophyll cell area in leaves of plants in wet and dry sites were analyzed. Xylem anatomy was assessed through vessel length and area in branches. In the dry site, three species had increased stomatal density and decreased stomatal length. Four species had increased palisade mesophyll and reduced air space volume. In contrast, phenotypic changes in the xylem were less pronounced; vessel length was unaffected by site conditions, but vessel diameter decreased in two species. Intercellular air spaces proved to be the most dynamic anatomical feature. Quercus calliprinos had the most extensive anatomical changes; Rhamnus lycioides had only minor changes. All these changes were observed in comparison to the species in the wet site. This study elucidated variations in anatomical responses in leaves among co-occurring Mediterranean plant species and identified the most dynamic traits. Understanding these adaptations provides valuable insights into the ability of plants to thrive under changing climate conditions.

Mesophyll airspace unsaturation drives C4 plant success under vapor pressure deficit stress

A fundamental assumption in plant science posits that leaf air spaces remain vapor saturated, leading to the predominant view that stomata alone control leaf water loss. This concept has been pivotal in photosynthesis and water-use efficiency research. However, recent evidence has refuted this longstanding assumption by providing evidence of unsaturation in the leaf air space of C3 plants under relatively mild vapor pressure deficit (VPD) stress. This phenomenon represents a nonstomatal mechanism restricting water loss from the mesophyll. The potential ubiquity and physiological implications of this phenomenon, its driving mechanisms in different plant species and habitats, and its interaction with other ecological adaptations have. In this context, C4 plants spark particular interest for their importance as crops, bundle sheath cells' unique anatomical characteristics and specialized functions, and notably higher water-use efficiency relative to C3 plants. Here, we confirm reduced relative humidities in the substomatal cavity of the C4 plants maize, sorghum, and proso millet down to 80% under mild VPD stress. We demonstrate the critical role of nonstomatal control in these plants, indicating that the role of the CO2 concentration mechanism in CO2 management at a high VPD may have been overestimated. Our findings offer a mechanistic reconciliation between discrepancies in CO2 and VPD responses reported in C4 species. They also reveal that nonstomatal control is integral to maintaining an advantageous microclimate of relatively higher CO2 concentrations in the mesophyll air space of C4 plants for carbon fixation, proving vital when these plants face VPD stress.

STAS: New explorations and challenges for thoracic surgeons.

Spread through air spaces (STAS) represents a relatively novel concept in the pathology of lung cancer, and it specifically refers to the dissemination of tumour cells into the parenchymal air spaces adjacent to the primary tumour. In 2015, the World Health Organization (WHO) classified STAS as a new invasive form of lung adenocarcinoma (LUAD). Many studies investigated the role of STAS and revealed its association with the prognosis of LUAD and its influence on the outcomes of other malignant pulmonary neoplasms. Additionally, the underlying mechanisms and predictive models of STAS have received considerable attention in recent years. This paper provides a comprehensive overview of the research advancements and prospects of STAS by examining it from multiple perspectives.