Temporal Framework Research Articles

Evolutionary origins of temporal discounting: Modeling how time and uncertainty constrain optimal decision-making strategies across taxa.

The propensity of humans and non-human animals to discount future returns for short-term benefits is well established. This contrasts with the ability of organisms to unfold complex developmental sequences over months or years efficiently. Research has focused on various descriptive and predictive parameters of 'temporal discounting' in behavior, and researchers have proposed models to explain temporal preference in terms of fitness-maximizing outcomes. Still, the underlying ultimate cause of this phenomenon has not been deeply explored across taxa. Here, we propose an ultimate (i.e., evolutionary) causal explanation for the selection of temporal discounting largely conserved across taxa. We propose that preference for a short-term reward (e.g., heightened impulsivity) often is less than optimal and likely is the product of constraints imposed on natural selection with respect to predicting events in a temporal framework in the context of future uncertainty. Using a simple Newtonian model for time across a fitness landscape in which movement by organisms is only possible in one direction, we examine several factors that influence the ability of an organism to choose a distant reward over a more temporally proximate reward: including the temporal distance of the far reward, the relative value of the distant reward, and the effect of uncertainty about the value and presence of the distant reward. Our results indicate that an organism may choose a more distant reward, but only if it is not too far into the future and has a substantially higher-value fitness payoff relative to the short-term reward. Notably, any uncertainty about the distant reward made it extremely unlikely for an organism to choose the delayed reward strategy compared to choosing a closer reward, even if the distant reward had a much higher payoff because events that are uncertain are only partially visible to natural selection pressures. The results help explain why natural selection is constrained to promote more optimal behavioral strategies and why it has difficulty selecting a distant reward over a lower-value short-term reward. The degree of uncertainty is an especially salient ecological variable in promoting and preferencing short-term behavioral strategies across taxa. These results further help illustrate why, from an ultimate causal perspective, human and non-human taxa have difficulty making more optimal long-term decisions.

Temporal and Cultural Significance of the Nablus Clock Tower: An Architectural Analysis

The renowned clock tower of Nablus serves as a prominent testament to the city’s rich historical and cultural legacy. This article presents a structural analysis of the Nablus Clock Tower, examining its temporal and cultural importance within the broader regional context. By investigating its history, evolution, and functional role, the article draws on archival sources, historical documents, and architectural plans, tracing the tower’s journey from its inception to its contemporary state. The discussion not only explores Nablus’s historical background but also outlines the influences and events that culminated in the construction of the Clock Tower. The study further examines the clock tower’s practical role as a timekeeping structure, a communal gathering spot, and a symbol of urban development. Through comparisons with contemporaneous clock towers that share similar architectural characteristics, the research highlights the distinctive features that set the Nablus Clock Tower apart. The fusion of elaborate design elements and unique cultural elements, together with the innovative integration of the tower into its surrounding urban environment, has elevated the tower into both a distinguished object of public landmark and a pivotal point of cultural interaction. This examination ultimately illuminates the historical and architectural significance of the Nablus Clock Tower, emphasizing its profound cultural resonance. By sitting the tower within the broader temporal and cultural framework of the region, this work enriches the understanding of Nablus’s multifaceted heritage, providing new insights that enhance the appreciation of the city’s cultural layers across time.

TCNT: a temporal convolutional network-transformer framework for advanced crop yield prediction

TCNT: a temporal convolutional network-transformer framework for advanced crop yield prediction

Immune system activation and cognitive impairment in arterial hypertension.

Chronic arterial hypertension disrupts the integrity of the cerebral microvasculature, doubling the risk of age-related dementia. Despite sufficient antihypertensive therapy, in still a significant proportion of individuals blood pressure lowering alone does not preserve cognitive health. Accumulating evidence highlights the role of inflammatory mechanisms in the pathogenesis of hypertension. In this review, we introduce a temporal framework to explore how early immune system activation and interactions at neurovascular-immune interfaces pave the way to cognitive impairment. The overall paradigm suggests that pro-hypertensive stimuli induce mechanical stress and systemic inflammatory responses that shift peripheral and meningeal immune effector mechanisms towards a pro-inflammatory state. Neurovascular-immune interfaces in the brain include a dysfunctional blood-brain barrier, crossed by peripheral immune cells; the perivascular space, in which macrophages respond to cerebrospinal fluid- and blood-derived immune regulators; and the meningeal immune reservoir, particularly T cells. Immune responses at these interfaces bridge peripheral and neurovascular unit inflammation, directly contributing to impaired brain perfusion, clearance of toxic metabolites and synaptic function. We propose that deep immunophenotyping in biofluids together with advanced neuroimaging could aid in the translational determination of sequential immune and brain endotypes specific to arterial hypertension. This could close knowledge gaps on how and when immune system activation transits into neurovascular dysfunction and cognitive impairment. In the future, targeting specific immune mechanisms could prevent and halt hypertension disease progression before clinical symptoms arise, addressing the need for new interventions against one of the leading threats to cognitive health.

A Molecular Temporal Evolutionary Framework of Land Plants and the Age of Angiosperms

A series of Bayesian molecular clock analyses with varying model combinations, parameters, and tree topologies were conducted to establish a temporal evolutionary framework of land plants and to estimate the age of angiosperms. The data consisted of five organellar and nuclear genes, 633 taxa, and 23 fossil calibration points (FCPs). The analyses were evaluated using an internal search thoroughness measure, effective sample sizes, and two external criteria: the consensus land plant phylogeny and a newly developed method that used the Hennigian reciprocal illumination principle to compare molecular age estimates of 21 nodes representing major land plant clades and the root split in green plants with those of their fossils in an a posteriori fashion. The results show that an analysis using a general time reversible (GTR) DNA substitution model, log normal branch-rate distribution, and Yule tree prior represented the best model combination, with the Birth-Death tree prior being equally optimal. This analysis estimated the age of the land plant crown group as 496.95 million years (MY), with a 95% highest posterior density (HPD) of 465.66–531.43 MY, and the age of the angiosperm crown group as 219.93 MY, with a 95% HPD of 184.09–256.82 MY. The former agrees with the fossil evidence, but the latter is significantly older than the fossil ages. A thorough examination of fossil evidence of angiosperms, as well as their evolutionary history in light of recent knowledge of morphology, physiology, and atmospheric CO2 concentration in the Mesozoic era, suggests that angiosperm radiation might have been delayed after their origin and that the current fossil record probably reflects only the products of that radiation, not the origin of angiosperms. Overall, the study shows that both molecular clock analyses and fossil studies, while agreeing on some aspects but disagreeing on others, can help develop a complete understanding of the temporal evolutionary history of land plants.

Dynamic Analysis and Temporal Governance of Safety Risks: Evidence from Underground Construction Accident Reports

Due to the complexity and dynamics of underground construction projects, safety risk management has experienced significant challenges restricting the sustainable development of underground space. The research on risk causal chains and risk coupling has yet to reveal the dynamic interactive characteristics of these risk factors and their temporal relationships over time. This study utilized a complex system view for safety risk analysis, using 37 accident investigation reports of underground construction projects. Combined with two novel and emerging analytical methods, temporal qualitative comparative analysis and crisp-set qualitative comparative analysis, this study discusses the temporal relationship of risk factors to the cause of accidents and explores the multi-actor coupling characteristics of management risk. The findings indicate that (1) compared with general construction projects, underground construction should pay more attention to management safety risks because they have an obvious time lag effect expressed in all accident causation paths, namely, preceding management risk, management risk, and machine/material risk cross-concurrently, and management risk initiation and (2) underground construction project management risks have three key main paths, namely, single-actor-dominated management deficiency (supervisors, owners, and subcontractors that cause management risks as a single-core actor) and dual-actor-dominated management deficiency (owner and subcontractor as dual core actors of management risk). Multi-actor-dominated management deficiency (owners, subcontractors, and supervisors are the multiple core actors of management risk). This study thus developed a temporal governance framework of underground construction safety risks based on the synergy of multi-actors and proposed risk governance strategies, such as synergistic multi-actor governance, to consider the temporal relationship of safety risk. This study further reveals the temporal and coupling characteristics of safety risks to enrich the risk casual chain theory and risk coupling theory and establish a systematic risk analysis framework for new guidance for safety and risk management for underground construction projects.

Clinical outcome-guided deep temporal clustering for disease progression subtyping

ObjectiveComplex diseases exhibit heterogeneous progression patterns, necessitating effective capture and clustering of longitudinal changes to identify disease subtypes for personalized treatments. However, existing studies often fail to design clustering-specific representations or neglect clinical outcomes, thereby limiting the interpretability and clinical utility. MethodWe design a unified framework for subtyping longitudinal progressive diseases. We focus on effectively integrating all data from disease progressions and improving patient representation for downstream clustering. Specifically, we propose a clinical Outcome-Guided Deep Temporal Clustering (OG-DTC) that generates representations informed by clustering and clinical outcomes. A GRU-based seq2seq architecture captures the temporal dynamics, and the model integrates k-means clustering and outcome regression to facilitate the formation of clustering structures and the integration of clinical outcomes. The learned representations are clustered using a Gaussian mixture model to identify distinct subtypes. The clustering results are extensively validated through reproducibility, stability, and significance tests. ResultsWe demonstrated the efficacy of our framework by applying it to three Alzheimer’s Disease (AD) clinical trials. Through the AD case study, we identified three distinct subtypes with unique patterns associated with differentiated clinical declines across multiple measures. The ablation study revealed the contributions of each component in the model and showed that jointly optimizing the full model improved patient representations for clustering. Extensive validations showed that the derived clustering is reproducible, stable, and significant. ConclusionOur temporal clustering framework can derive robust clustering applicable for subtyping longitudinal progressive diseases and has the potential to account for subtype variability in clinical outcomes.

Post-return emotions: everyday food practices of overseas returned students in Shanghai

ABSTRACT Taking post-return everyday food practices as the primary analytical lens, this paper interrogates how the emotions of transnational returnees are structured by shifting spatio-temporalities in the process of return. Based on ethnographic fieldwork in Shanghai, the empirical discussion examines the experiences of overseas returned students in Shanghai through three cases. These respectively highlight how practices and emotions relate to the persistence of hometown tastes throughout migration, the embrace of host foods while studying overseas, and the adaptation to new dietary patterns after return. These cases of post-return exemplify the intricate connections between food, place, and emotions. There are two implications drawn from the empirical discussion. First, from the spatial perspective, the post-return emotions of transnational return migrants are intricately linked not only to the place to which they return and currently reside in but also to the places they previously experienced as emigrants. Second, the emotions of transnational return migrants should be comprehended under specific temporal frameworks, which, in this paper, refer to transitional life stages. By investigating the post-return place-related emotions indicated by everyday food practices, this research contributes a more intricate understanding of the emotional worlds of transnational returnees and sheds light on the emotionality of transnational return migration.

Chronology of Ediacaran sedimentary and biogeochemical shifts along eastern Gondwanan margins

Determining causal relationships between environmental change and early animal evolution has been limited by our lack of a robust temporal framework for the Ediacaran Period (635-539 million years ago). Here we present six new radioisotopic age constraints from the Sultanate of Oman, which furnish a quantitative temporal framework for biogeochemical changes associated with animal radiation in the middle and late Ediacaran Period. In addition to constraining the duration of Earth’s largest negative carbon isotope excursion in its type locality, this temporal framework underpins a new understanding of Ediacaran sedimentation rates, a critical control on geochemical records and fossil preservation. Our new dates quantify early Ediacaran (prior to c. 574 million years ago) condensation in key sections across Gondwanan margins. This temporal framework highlights a pressing need to reassess proxy records of oxygenation—often hypothesized as a critical environmental constraint for the emergence of complex multicellular life—considering non-static sedimentation rates.

Laws of conservation of mass and momentum for an ideal fluid in the inertial framework of special relativity

In the realm of Newtonian fluids, fundamental conservation laws such as those governing mass, momentum, and energy are rigorously upheld within absolute reference frames. However, within the framework of special relativity and the concept of space -time, the notions of separate conservation of mass and momentum no longer hold. Instead, the theory relies on Lorentz transformations and relative reference systems, typically denoted as S and S', moving uniformly relative to each other, each with its own temporal framework. Within the context of special relativity, particularly in the study of particles, significant findings pertain to the energy-momentum vector. These findings underscore the necessity, when studying fluids within inertial frames, to apply conservation principles to the energy-momentum tensor.

InfoFlowNet: A multi-head attention-based self-supervised learning model with surrogate approach for uncovering brain effective connectivity

Deciphering brain network topology can enhance the depth of neuroscientific knowledge and facilitate the development of neural engineering methods. Effective connectivity, which gauges the directional influences among brain regions, is pivotal for these studies. This research introduces InfoFlowNet, a novel self-supervised learning model designed to infer causal relationships in electroencephalogram (EEG) data, aiming at capturing the complex information flow among brain regions. Specifically, InfoFlowNet employs convolution operations and multi-head self-attention mechanisms with a masking feature, which ignores self-connections to focus on inter-regional dynamics. Additionally, a new causal magnitude estimation is introduced by assessing the impact of shuffled surrogate data on signal prediction to quantify causal influence. Experiments using synthetic data and real EEG datasets demonstrate that InfoFlowNet effectively uncovers time-varying causal relationships. Compared with the Granger causality model (GCM) and the temporal causal discovery framework (TCDF), InfoFlowNet shows superior sensitivity in detecting significant causal edges. For instance, in a psychomotor vigilance task, InfoFlowNet identified 8 out of 16 significant causal edges, significantly outperforming GCM and TCDF. Furthermore, InfoFlowNet successfully passes the whiteness test on the model's residuals, and advanced analyses illustrate the advantages of utilizing multi-head attention and masking mechanisms to capture effective connectivity. In sum, InfoFlowNet represents a significant advancement in the analysis of effective connectivity, offering a deeper understanding of brain network dynamics. The model's ability to discern complex causal interactions supports its potential application in broader neuroscientific research and applications.

Continental rift evolution and drainage reorganization along the Dead Sea rift since the Miocene

The Dead Sea fault is a section of the Arabian-African plate boundary. Widespread field relations indicate that three major drainage systems (stages) occupied the landscape west of the Dead Sea fault since its initiation at ca. 20 Ma. Specifically, (1) an early to middle Miocene drainage system, only minorly reconfigured by the fault (all sediments of this system belong to the Hazeva Formation); (2) a late Miocene to early Pleistocene fault-parallel drainage system named Paran-Neqarot (all sediments of this system belong to the Arava and Zehiha Formations; and (3) the early Pleistocene to present drainage configuration. The temporal and spatial frameworks of drainage stage 1 are generally constrained by radiometric dating of interfingering volcanic units, and the onset and temporal and spatial frameworks of drainage stage 3 are well constrained by cosmogenic 10Be surface exposure ages. The timing and longevity of the rift-parallel drainage (stage 2) have until now been evasive to direct dating. The overall time gap between stages 1 and 3 is ∼12−13 million years. Thus, an early age (within this time gap) of stage 2 would imply an immediate response of drainage reorganization to rift tectonics, while a later age of this drainage system would imply a delayed response. We present 11 10Be-26Al cosmogenic burial ages of alluvial and colluvial units related to the fault-parallel drainage system (stage 2), which collectively constrain the time of deposition of the Arava Formation sediments in the central Negev to ca. 8 Ma. The general lack of stratigraphic order, together with the large dispersion of ages both across and within the sampling sites, attests to significant recycling of sediments from drainage stage 1 into the Arava Formation deposits. The termination of Arava and Zehiha Formation sediment deposition at ca. 1.8 Ma was determined previously using cosmogenic exposure ages of desert pavements that cover the formations. Combining the previously published data with our new data, we established the longevity and character of the Paran-Neqarot drainage system. This framework highlights the temporal aspect of drainage system build-up and collapse as it responded to transform and extensional plate boundary tectonics during the Neogene.

A dynamic temporal and spatial speed control strategy for partially connected automated vehicles at a signalized arterial

The connected and automated vehicle (CAV) is able to acquire the global intelligence in advance by communicating with other CAVs and roadside units (RSU), thus integrated speed control has the potential of easing the traffic wave, reducing the fuel consumption and emissions. In this paper, a dynamic temporal and spatial speed control framework is proposed to optimize the travel speed of CAVs along the signalized arterial under the mixed traffic flow including CAVs and human driven vehicles (HDVs). A speed control optimization method is proposed to minimize the number of stops of the ego CAV and its follower HDV with considering the signal status and queuing. A secondary speed control method based on the dynamic control areas is introduced in the mentioned framework to guide the CAV to the targeted positions. The corresponding dynamic variable parameter model is then designed to optimize the operational parameters of the corresponding control area to minimize the total fuel consumption of all vehicles under different market penetration rates. Finally, the simulation platform of Urban Mobility (SUMO) is used to test the proposed speed control strategy. The results indicate that the total stop delays are reduced by 60.9 % and saving 6.5 % total fuel consumption under the 30 % penetration rate.

A temporal dynamics framework and methodology for computationally intensive social media research

The growing availability of expansive social media trace data (SMTD) offers researchers promising opportunities to create rich depictions of societal and social phenomena. Despite this potential, research analysing such data often struggles to construct novel theoretical insight. This paper argues that holistically incorporating temporality enhances data collection and data analysis, subsequently facilitating process theory construction from SMTD. Recommendations to integrate temporality are outlined in the proposed Temporal Dynamics Framework and Methodology (TDFM). We apply the TDFM to investigate the temporal dynamics of mental health discourse on Twitter (now X) across different phases of the COVID-19 pandemic, theoretically framed in the context of innate psychological needs satisfaction. The findings reveal dynamic shifts in social media use, indicating that different phases of the pandemic triggered changes in the needs motivating, and being motivated by, social media use. This illustrative case reflectively evaluates the TDFM's usefulness in contextualising SMTD collection, analytical strategies, and process theory construction by incorporating a dynamic perspective on time.

Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students

Introduction: Existing theories and empirical works link phone use with anxiety; however, most leverage subjective self-reports of phone use (e.g., validated questionnaires) that may not correspond well with true behavior. Moreover, most works linking phone use with anxiety do not interrogate associations within a temporal framework. Accordingly, the present study sought to investigate the utility of passively sensed phone use as a longitudinal predictor of anxiety symptomatology within a population particularly vulnerable to experiencing anxiety. Methods: Using data from the GLOBEM study, which continuously collected longitudinal behavioral data from a college cohort of N = 330 students, weekly PHQ-4 anxiety subscale scores across 3 years (2019–2021) were paired with median daily phone use records from the 2 weeks prior to anxiety self-report completion. Phone use was operationalized through unlock duration which was passively curated via Apple’s “Screen Time” feature. GPS-tracked location data was further utilized to specify whether an individual’s phone use was at home or away from home. Within-individual and temporal associations between phone use and anxiety were modeled within an ordinal mixed-effects logistic regression framework. Results: While there was no significant association between anxiety levels and either median total phone use or median phone use at home, participants in the top quartile of median phone use away from home were predicted to exhibit clinically significant anxiety levels 20% more frequently than participants in the bottom quartile during the first study year; however, this association weakened across successive years. Importantly, these associations remained after controlling for age, physical activity, sleep, and baseline anxiety levels and were not recapitulated when operationalizing phone use with unlock frequency. Conclusions: These findings suggest that phone use may be leveraged as a means of mitigating or coping with anxiety in social situations outside the home, while pandemic-related developments may also have attenuated this behavior later in the study. Nevertheless, the present results suggest promise in interrogating a larger suite of objectively measured phone use behaviors within the context of social anxiety.

Adapting seasonal beekeeping patterns in western Norway

This paper is about how Western Norway beekeepers synchronise their practices to perceived patterns of seasonal rhythms and adapt their timings and ways of working as they sense shifts in these rhythmic seasonal patterns associated with climatic and environmental (and social) change. It contributes to work on adaptation governance with an emphasis on the time sensitivity of adaptive action in institutions – the importance of taking the right action at the right time – and that this timing is coordinated at the convergence of multiple temporalities across human and more-than-human worlds, within temporal assemblages. The research was conducted in close collaboration with beekeepers over the 2021/2022 seasons and found them to be temporally literate practitioners that are capable of gauging shifts in temporalities, drawing on diverse temporal frameworks (both formal and informal), and recalibrating. Recalibration came both in small incremental micro-manoeuvres to maintain synchrony in a seasonal pattern, or collective efforts to fundamentally adapt or reconfiguring seasonal patterns when patterns fail to ‘hold’. From this perspective, the paper centres and elevates temporal synchronisation in adaption, with attention to the institutionalised capacity of temporally competent practitioners to make use of and recraft the cultural frameworks governing timings.

Propagating Terroir Revival in the Negev: How the Wine Industry Can Amplify Its Resilience to Climate Adversity through a Deeper Understanding of Historic Dryland Viticulture

Based on an examination of the outlooks and practices held by past and present Negev desert viticulturists vis-à-vis their environs, the article offers insights into how the wine sector can bolster its response to current climate adversity. The discussion fuses bio-archaeological research on the evolution of ancient grape cultivars (Vitis vinifera) in the Negev with an extensive ethnographic inquiry into the ongoing wine revival in arid southern Israel. Ancient DNA analysis of relic grape material led to the identification of an historical Negev viticulture lineage. The findings provide a temporal framework for contextualizing tphe interrelated anthropological data obtained on contemporary dryland viticulturalists and wine makers in Israel. Since the climate in the Negev has remained relatively stable over the last several millennia, it makes for an apt point of comparison via which to gauge the outlooks held by both historical and modern viticulturalists towards the local landscape. We suggest enacting two evidence-based adjustments to counter ecological instabilities: the holistic revival and applied renewal of historical cultivars, and the attendant agronomic routines that sustained their growth in the past. A more nuanced understanding of the unique terroir arid viticulturalists are operating in, together with the learned incorporation of the hardy genetic traits of age-old cultivars, will benefit wine growers to attune their responses to the array of challenges wrought by climate change on the wine industry. It is therefore our hope that the research methodologies and heritage-oriented horticultural perspectives we present in this paper will prove beneficial to broader wine growing regions (pax-Mediterranean and beyond) who are fortunate to likewise possess their own rich viticultural histories and lineages.

Temporal Framework and Biological Indicators of Non-Suicidal Self-Injury and Related Behaviours.

Adolescence is a transitional stage between puberty and maturity. Significant alterations in brain chemistry and hormone activity cause mood swings and other psychological and physical symptoms. On their journey to adolescence, adolescents deal with complex emotions, moral dilemmas, sexual concerns, identity crises and particular societal expectations related to their upbringing. Impulsivity in adolescents is frequent and causes multiple issues. Impulsivity often lead towards non-suicidal self-injury (NSSI), which has devastating consequences, which are both physical and mental. Both impulsivity and NSSI have their roots in brain chemistry and its related functions. The aim of this special communication was to delve into brain chemistry through studying the function of neurotransmitters and brain areas in NSSI and impulsivity. Multiple papers were sought on the topic of neurochemistry and neuroanatomy. The results identified serotonin, dopamine and glutamate as the neurotransmitters responsible for NSSI and impulsivity. Dysregulation in these neurotransmitters lead to the presentation of NSSI and impulsivity. Other than the neurotransmitters, the brain areas identified were prefrontal cortex, medial prefrontal cortex and ventrolateral prefrontal cortex. The compiled results of this research would help individuals in understanding the neurotransmitters and the brain areas responsible. This would also help in generating awareness regarding the biological nature of the phenomenon as well, leading to less stigmatisation. The less stigmatisation towards these phenomena can help the affected individuals to seek help without any guilt or shame, along with support from society as well.

The re-making of a Europe of differences: mobile lives and the globalization of categories in revolutionary and post-imperial times (c.1770–1970)

ABSTRACT This article discusses the fundamental question of how the differentiation of people on the move or in transit and their categorization changed in revolutionary and post-imperial times. These interacting processes have affected Europe and the negotiation of its internal and external boundaries. Drawing on examples from the rich history of migration and mobility since the late eighteenth century, the article demonstrates how individual research studies can be situated and expanded within a broad temporal and analytical framework which focuses on the historical actors’ struggles over the distinctions and categories imposed upon them by others (e.g. the administration or the family). It explores dynamics arising both from the socio-economic and cultural practices of mobile people (e.g. on localizing or globalizing their concepts of life) and from legal-administrative procedures to distinguish between these people (e.g. through categories). These differentiations interacted and changed especially during two threshold phases, around 1800 and 1945. During these periods, international actors renegotiated the relationship between territory and population by grappling with the distinction between ‘refugees’ and numerous other migrants and claiming a universalist or more particularistic definition over which people were entitled to protection and support. Through this approach, Europe is understood as a lived, administered and negotiated space whose external and internal boundaries are also the result of long, more or less overlapping processes of self- and external evaluation of people located outside their place of origin.

Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem

Accurately predicting air quality levels in urban landscapes is a key environmental and public health challenge due to the complex interactions between pollutant emissions, atmospheric chemistry, and meteorological conditions. Chemical transport models such as Community Multiscale Air Quality (CMAQ) and Weather Research and Forecasting Modeling with Chemistry (WRF-Chem) provide fundamental insights into the behavior of atmospheric pollutants but face limitations in spatial resolution and prediction accuracy. Machine learning combined with low-cost sensors can improve prediction accuracy compared to numerical models, but uneven sensor distribution may result in biased prediction results. To address these limitations, this study introduces an innovative framework that leverages a quadtree space division to refine the numerical simulations of air pollutants into higher spatial resolutions by dynamically adjusting grid sizes based on the distribution of increased sensor deployments. Using a variable-resolution grid, the study first aggregates variables into a grid and then calculates spatial dependence based on grid cells. The deep-learning-based Time Series Transformer model is then used to perform detailed temporal predictions of PM2.5 concentration across the entire grid. The spatial and temporal modeling framework is designed to use the past 48 h' aggregated data, including meteorological variables from WRF-Chem numerical simulation and PM2.5 concentrations from ground monitoring stations and sensors, to predict future 48-h’ PM2.5 concentrations and tested across entire grids within Los Angeles County from January to June 2020. The results show that the performance of variable resolution grids is better than that of fixed grids regarding four metrics: minimum resolution, overall spatiotemporal RMSE, average bias, and prediction coverage. Among them, the variable resolution grids with up to 4 sensors showed the best performance, with an overall spatiotemporal RMSE of 1.12 μg/m3, which was about 40% lower than 2-sensor and 8-sensor variable resolution grids, a significant reduction of 55% compared to a 3 km fixed grid configuration. Future work will involve additional relevant factors such as emission sources and sinks to improve prediction accuracy.