Temporal Horizon Research Articles

Understanding Turkish Foreign Policy Studies: A Bibliometric Analysis

Employing a rigorous bibliometric framework, this study undertakes a comprehensive exploration of scholarly inquiries into Turkish Foreign Policy (TFP) by utilizing an extensive dataset extracted from the reputable SCOPUS database. TFP publications in various languages were scrutinized over nearly a century, from 1939 to 2022, with bibliometric analysis methodically traversing titles, keywords, abstracts, word frequencies, references, authorships, citations, and geographic diffusion. To comprehensively unravel the scholarly landscape, we employed three bibliometric methodologies: descriptive statistics, network analysis, and textual analysis. The overarching goals included delineating the contours of the TFP scholarly community, charting the evolution of influential factors across temporal horizons, and gauging the extent of collaborative interactions among TFP researchers. Our findings reveal the absence of a cohesive TFP research community within the Turkish academic landscape, which unequivocally underscores the fragility of Turkish International Relations (IR) academia in terms of scientific collaboration, academic networking, and research productivity. Our findings distinctly underscore the fragmentary nature of the TFP research community in terms of thematic breadth and practical manifestations. The conspicuous dearth of cross-referencing among Turkish IR scholars, limited joint scientific ventures, and scholarly output collectively underpin inherent vulnerabilities and constraints within the TFP community.

The materiality of experience. Phenomenology between phainology and phenomenism

In this paper, I consider the materiality of experience as stemming from a temporal process of sense-formation (Sinnbildung), whose essence is not just formally configured, but also materially organized. In order to understand this process of sense-formation, I first examine the materiality that is intrinsic to the intentional sense and its relationship with the sensible materiality of experience brought forth by the project of hyletic phenomenology. In the second part of the paper, I propose to overcome the tension between a materiality of sense and a materiality of sensibility by reflecting on the specific materiality that is created in our experience through the dynamism of imaginative modifications. Allowing us to switch between different temporal and spatial horizons, imaginative projections and reveries reveal a hidden “reverse” side of our perceptive field, that we access only when we let go of objectifying acts and established significance. In the last part of the paper, I turn toward bodily gestures, in which I see an expression of experience that resists objectification and straightforward symbolization, attesting for the complex social inscription of our bodily existence. I end the paper with an inquiry into the specific materiality of gestures, understanding them as vanishing archives offered to the future.

The Materiality of Experience. Phenomenology between Phainology and Phenomenism

In this paper, I consider the materiality of experience as stemming from a temporal process of sense-formation (Sinnbildung), whose essence is not just formally configured, but also materially organized. In order to understand this process of sense-formation, I first examine the materiality that is intrinsic to the intentional sense and its relationship with the sensible materiality of experience brought forth by the project of hyletic phenomenology. In the second part of the paper, I propose to overcome the tension between a materiality of sense and a materiality of sensibility by reflecting on the specific materiality that is created in our experience through the dynamism of imaginative modifications. Allowing us to switch between different temporal and spatial horizons, imaginative projections and reveries reveal a hidden “reverse” side of our perceptive field, that we access only when we let go of objectifying acts and established significance. In the last part of the paper, I turn toward bodily gestures, in which I see an expression of experience that resists objectification and straightforward symbolization, attesting for the complex social inscription of our bodily existence. I end the paper with an inquiry into the specific materiality of gestures, understanding them as vanishing archives offered to the future.

Modeling Poverty Incidence and Macroeconomic Volatility in Nigeria

In light of the exacerbation of economic challenges resulting from heightened inflation and the recent cessation of fuel subsidies, there has been a discernible escalation in the poverty rate across emerging economies globally, with particular emphasis on the Nigerian context. This research endeavors to scrutinize the intricate interconnection between the poverty rate and pertinent macroeconomic volatility indices, encompassing inflation, Gross National Income (GNI), unemployment, and Gross Domestic Product (GDP) within the Nigerian framework. Noteworthy in its contribution, this study addresses a notable lacuna by incorporating indices hitherto overlooked in antecedent research. Utilizing secondary data spanning the temporal continuum from 1990 to 2022, a meticulous analysis ensued. The knit root test was executed to rectify the presence of unit roots that might engender spurious findings. Subsequently, an Autoregressive Distributed Lag (ARDL) model of order (1, 1, 1, 1, 0) was employed. The findings divulge a discernible short-term and long-term nexus between poverty incidence and the identified macroeconomic volatility indices in Nigeria. The model further posits that an elevated poverty incidence precipitates a decline in economic growth in both temporal horizons, underscoring the adverse effects. Conversely, a heightened GNI manifests as a catalyst for enhanced economic growth in Nigeria. Consequently, this underscores the imperative for governmental intervention in productive endeavors aimed at augmenting Nigeria's GNI, thereby fostering economic growth, mitigating unemployment, and ultimately alleviating the elevated poverty rates pervasive in the nation

Knowledge-informed neuro-integrators for aggregation kinetics

We report a novel approach for the efficient computation of solutions of a broad class of large-scale systems of non-linear ordinary differential equations, describing aggregation kinetics. The method is based on a new take on the dimensionality reduction for this class of equations which can be naturally implemented by a cascade of small feed-forward artificial neural networks. We show that this cascade, of otherwise static models, is capable of predicting solutions of the original large-scale system over large intervals of time, using the information about the solution computed over much smaller intervals. The computational cost of the method depends very mildly on the temporal horizon, which is a major improvement over the current state-of-the-art methods, whose complexity increases super-linearly with the system’s size and proportionally to the simulation time. In cases when prior information about the values of solutions over a relatively small interval of time is already available, the method’s computational complexity does not depend explicitly on the system’s size. The successful application of the new method is illustrated for spatially-homogeneous systems, with a source of monomers, for a number of the most representative reaction rates kernels.

ПРОСТРАНСТВЕННО-ВРЕМЕННАЯ ПРИРОДА МУЗЫКАЛЬНОГО ПОНИМАНИЯ

The nature of musical understanding is currently being intensively investigated in both analytic and continental philosophy. Many authors point out that such understanding has an important intellectual component. This article studies the question of spatial components of musical understanding. B. Wharf drew attention to the fact that we often carry out spatial objectification in the mind. A. Bergson wrote about the same. Music has a motive, musical phrases, often a melody, and all that can be represented in the form of a drawing. To understand music means to understand the logic of the unfolding of the melody, and “unfolding” is a spatial phenomenon. Husserl writes of a temporal horizon when listening to music, but the horizon is also a spatial phenomenon. Furthermore, Husserl points out that the fluid meaning of music remains “the same”, and in order to see it, one must step out of the flow of time to some fixed point. Such an exit is virtual, but possible. However, those are not ordinary spatial representations. The term “quasi-space” is used for them, reminiscent of Husserl’s double intentionality. In that quasi-space the pattern or gestalt of music is formed. At the same time, there is a certain transcendental point, a limit to which our exit from the flow of time tends.

Cryopreservation Practices: Transforming Temporal Horizons

Cryopreservation practices allow us to deep-freeze different types of organic material for potential future use, creating a liminal state between life and death. Professor Thomas Lemke and his team in the CRYOSOCIETIES project are investigating how this ‘suspended life’ is transforming temporal horizons and our understanding of health, fertility and biodiversity.

Вневременность субъекта

The article deals with the problem of time and the property of the subject to leave time. In temporal existence, the subject moves together with surrounding things in the same stream of time. However, within itself the subject emerges into a transcendental quasi-space. He builds it himself in his mental world. The layer of immanence (in the temporal sense of the word) does not allow for understanding, does not allow for real thinking. A conversation in terms of immanence can only develop according to the “stimulus-response” type, without a plan and without addressing one’s own idea of truth, since truth requires timelessness. The concept of “objectification” introduced by Whorf, as well as the ideas of the temporal horizon of Bergson and Husserl are considered. The second part of the article examines the timelessness of meaning. Meaning “lives” in the timeless space of meanings. The normativity of logic also has a timeless character. Even when we listen to music, we step out of time and constitute its pattern, the logic of its unfolding. The subject of music is the coagulation of time into intelligible structures. Reflection is considered as belonging to the timeless layer of consciousness. We place our thinking among timeless entities: values, assessments, goals, projects, truths. A project of thought can unfold in time, this is an intuitive type of thinking, but it can also reach universal positions. Thus the subject is dual. It belongs to two ontological regions: temporal and atemporal. The last paragraph of the article briefly discusses Losev’s theory “On the Method of Infinitesimals in Logic”, which states that the subject perceives the world through derivatives in the sense of mathematical analysis, and then performs integration in order to thus obtain an atemporal concept of a thing. In conclusion, I staate that the mechanism for escaping time is still unclear, but the exit itself has been given to us. The subject’s relationship to transcendence is the subject’s exit from time. There would be no concept of time if there were no communion with the eternal.

FEVER DREAMS AND THE FUTURE OF NOSTALGIA ON TIKTOK

This paper contributes to the growing body of literature that interrogates the modalities of nostalgia afforded in, by, and through digital media technologies with a focus on its performative dimension within one social formation of nostalgia – the TikTok aesthetic. Drawing on a fine-grained, qualitative artifact analysis of the most viewed video in #nostalgicore on TikTok, this paper asks how the platform’s socio-technical affordances enable and/or constrain Boym’s “restorative” (regressive) and “reflective” (progressive) modalities of nostalgia as a basis for action. Drawing on performance studies and emotion theory, I conceptualize nostalgia as “emotive” to foreground its performative dynamics and allow for further study of nostalgia as a performance or “narrative event” that articulates time, space, and affective feeling. Through the interplay of TikTok’s temporal and spatial affordances, I find that TikTok permits the feeling of the "thick present" to emerge, encouraging liminal, fever dream-like performances of nostalgia in which young people imaginatively construct nostalgic worlds. I argue that this practice constitutes a form of digital placemaking that resists normative assumptions of nostalgia operating on a linear temporal horizon of action (i.e., backward/past vs. forward/future) as it is made, remade, and algorithmically circulated. Contributing to recent work on “algorithmic nostalgia,” these findings suggest that creative and mnemonic practices are entangled in algorithmically structured aesthetic social formations of nostalgia and invite further consideration to how TikTok encourages the “mnemonic imagination” through performance. Keywords: nostalgia, TikTok, performance, temporality, affect, social media affordances

Analysis and Modeling of Residential Energy Consumption Profiles Using Device-Level Data: A Case Study of Homes Located in Santiago de Chile

The advancement of technology has significantly improved energy measurement systems. Recent investment in smart meters has enabled companies and researchers to access data with the highest possible temporal disaggregation, on a minute-by-minute basis. This research aimed to obtain data with the highest possible temporal and spatial disaggregation. This was achieved through a process of energy consumption measurements for six devices within seven houses, located in different communes (counties) of the Metropolitan Region of Chile. From this process, a data panel of energy consumption of six devices was constructed for each household, observed in two temporal windows: one quarterly (750,000+ observations) and another semi-annual (1,500,000+ observations). By applying a panel data econometric model with fixed effects, calendar-temporal patterns that help explain energy consumption in each of these two windows have been studied, obtaining explanations of over 80% in some cases, and very low in others. Sensitivity analyses show that the results are robust in a short-term temporal horizon and provide a practical methodology for analyzing energy consumption determinants and load profiles with panel data. Moreover, to the authors’ knowledge, these are the first results obtained with data from Chile. Therefore, the findings provide key information for the planning of production, design of energy market mechanisms, tariff regulation, and other relevant energy policies, both at local and global levels.

Temporal Horizons in Education

This paper extracts the findings of the impact study on the Learning Facilitator programme’s study, a 6-month blended learning professional programme accredited by the Catholic University of Eichstätt-Ingolstadt (Germany) and delivered by Jesuit Worldwide Learning to teachers in context of marginalisation. Focused on elucidating how the Learning Facilitator programme nurtures graduates' soft skills in teaching and fosters their servant-leadership, this paper underscores how the programme redefines the temporal horizons for its participants, enabling them to transcend established frames of reference and cultivate inclusive and conducive learning environments both within and beyond the confines of traditional classrooms. This contribution seeks to bring the seldom heard voices at the centre of the discussion on “time for education”, echoing graduates’ critical exploration in reevaluating conventional frames of reference in pedagogical contexts.

Joint analysis and segmentation of time-varying data with outliers

Principal-Component Analysis (PCA) is a fundamental tool in data science and machine learning, used for compressing, analyzing, visualizing, and processing large datasets. At the same time, temporal segmentation is important for coherent component analysis of big data collections generated by time-varying distributions. However, both segmentation and PCA can be critically affected and misled by corrupted points that often exist in big data collections. To address these issues, we propose a novel and robust method for joint segmentation and principal-component analysis of time-varying data, based on L1-norm formulations. Our proposed method estimates robust L1-norm principal components (L1-PCs) over different temporal horizons and combines them to perform outlier detection, data segmentation, and subspace estimation. Numerical studies on real-world data, including videos and smartphone-sensed human body motion measurements, corroborate the merits of the proposed method in terms of segmentation, PCA, and outlier detection/removal.

Images of intertextuality in the novel “The Waste Paradise” by the writer Laila Al-Juhani - an applied structural study

Intertextuality is one of the terms of the structuralism, which indicates the nature of texts, and also refers to the culture of the writer, and enriches the semantic value of the language in the new text and its narrative frameworks, especially in the art of the novel, which extends in its temporal and spatial horizon and the number of pages over a long period, so intertextuality becomes more present. It is clear to both the educated reader and the researcher. Hence this study that explains the forms of intertextuality in the novel “The Waste Paradise” by the Saudi writer Laila Al-Juhani, as her novel has a vast narrative space, containing different types of intertextuality in particular, that are in harmony with the story of the novel and its events on the one hand, and develop semantic depth, or It conveys it in a highly artistic and beautiful way on the other hand, and demonstrates the extension of some meanings historically on the third hand, and explains some human events on the fourth hand. The most common types of intertextuality in the novel “The Waste Paradise” are: historical intertextuality, literary intertextuality, religious intertextuality, and artistic intertextuality. The study was keen to include the original text from which the author quoted the texts of her novel in a clear manner in the text, and by extracting each text in a systematic and transparent manner in the footnotes as well. In order to ensure scientific accuracy and credibility in the research, the study ultimately concluded with many results of great importance, which the study summarized at the end of the research through a separate section, including but not limited to: The writer employs religious intertextuality, calling for ideals and values that are absent from human reality. Contemporary on the one hand, and you made the narrative more realistic and depictive of life on the other hand.

Vegetation Dynamics of North African Steppe (Case Study of the Moulouya Plateau In Morocco)

Abstract The North African steppe areas represent a heritage of great economic and ecological importance. These areas, which were once prosperous, are currently experiencing significant degradation and a decrease in productivity due to several factors. The objective of this study was to evaluate the dynamics of the steppe vegetation, identify the responsible factors, and present perspectives for their management and restoration. The methodological approach adopted for the characterization of climatic and socioeconomic conditions and the analysis of vegetation dynamics combined classical geomatics methods with a data mining method by mobilizing several sources and on important temporal horizons. This study was optimized by using the Google Earth Engine platform. Results showed that steppe areas are characterized by their plant richness and great potential for resilience despite their low vegetation cover. The analysis of the dynamics of change has highlighted a regressive trend in steppe vegetation during the study period (1995–2020). This study has been able to highlight the extent of the dynamics of the steppes in the study area during the last 26 years and to identify the human activity as the main trigger for the transformation that steppe areas are currently undergoing. Such results improve our knowledge of these areas and open perspectives for their management.

Care and Afterward: On Heidegger, Kafka, and Blanchot

Taking as its starting point Heidegger’s discussion in Being and Time (1927) of the Latin poet Hygenius’s fable about the formation of humankind by Cura, “Care,” this article opens the philosopher’s concept of care to a dialogue with literature. If Hygenius’s fable is, in Heidegger’s terms, a “pre-ontological testimony” to Dasein’s groundedness in care, Kafka’s story “The Cares of a Family Man” (1919) and Blanchot’s novel The Most High (1948) may be called “post-ontological testimonies” of care. Both texts thematize the slipping away of the temporal horizon of care, envisioning a world in which Dasein no longer takes center stage. Through an analysis of the Heideggerian grammar of care and its resonances in Kafka and Blanchot, this article offers a new appraisal of an influential concept in twentieth-century European philosophy and literature.

Mapping CO2 spatiotemporal transfers embodied in China's trade using a global dynamic network model endogenizing fixed capital

A systematic approach that accurately assesses carbon emissions is essential to design climate policies. To fully consider the impacts of the intertemporal dynamics of using the past-formed capital for future production, endogenizing capital as an input into carbon accounting system has been proposed, and lead to the reallocation of emissions. However, little is known about how this reallocation occur, i.e., how carbon flows from the past-formed capital to the products it is used to produce and to the consumers who purchase these products. Here, enabled by a global CO2 transfer network model with capital endogenization, we take China as an example to trace the full process of CO2 spatiotemporal transfer and re-assess CO2 footprints. China contributed more than 40% of the global capital-related CO2 emissions with only 14% of global capital consumption. China drove domestic and foreign CO2 emissions mainly through purchasing service products, while foreign regions outsourced an order of magnitude higher emissions to China by importing products such as electricity, machinery and equipment. Along temporal horizons, CO2 emitted in historical years contributed 87% of the total emissions embodied in China's capital consumption, while new-formed capital contained 5.50 Gt CO2 emissions, which will be attributed to the future. Based on this, China's dynamic CO2 footprint was re-assessed as 4.65 Gt, an increase of more than 1/4 over the traditional results. This increase comes mainly from service products directly consuming building structure, especially real estate and public administration services. This study provided new understanding of CO2 accounting and identified new hotspots for differentiated climate policies.

Integrated turbulence parameters' estimation from NAOMI adaptive optics telemetry data

Context.Monitoring turbulence parameters is crucial in high-angular resolution astronomy for various purposes, such as optimising adaptive optics systems or fringe trackers. The former systems are present at most modern observatories and will remain significant in the future. This makes them a valuable complementary tool for the estimation of turbulence parameters.Aims.The feasibility of estimating turbulence parameters from low-resolution sensors remains untested. We performed seeing estimates for both simulated and on-sky telemetry data sourced from the new adaptive optics module installed on the four Auxiliary Telescopes of the Very Large Telescope Interferometer.Methods.The seeing estimates were obtained from a modified and optimised algorithm that employs a chi-squared modal fitting approach to the theoretical von Kármán model variances. The algorithm was built to retrieve turbulence parameters while simultaneously estimating and accounting for the remaining and measurement error. A Monte Carlo method was proposed for the estimation of the statistical uncertainty of the algorithm.Results.The algorithm is shown to be able to achieve per-cent accuracy in the estimation of the seeing with a temporal horizon of 20 s on simulated data. A (0.76″ ± 1.2%|stat± 1.2%|sys) median seeing was estimated from on-sky data collected from 2018 to 2020. The spatial distribution of the Auxiliary Telescopes across the Paranal Observatory was found to not play a role in the value of the seeing.

Explainable forecasting of global horizontal irradiance over multiple time steps using temporal fusion transformer

Accurate prediction of solar irradiance is essential for the successful integration of solar power plants into electrical systems. Despite recent advancements in deep learning technology yielding impressive results in solar forecasting, their lack of interpretability has hindered their widespread adoption. In this paper, we propose a novel approach that integrates a Temporal Fusion Transformer (TFT) with a McClear model to achieve accurate and interpretable forecasting performance. The TFT is a deep learning model that provides transparency in its predictions through the use of interpretable self-attention layers for long-term dependencies, recurrent layers for local processing, specialized components for feature selection, and gating layers to suppress extraneous components. The model is capable of learning temporal associations between continuous time-series variables, namely, historical global horizontal irradiance (GHI) and clear sky GHI, accounting for cloud cover variability and clear sky conditions that are often ignored by most machine learning solar forecasters. Additionally, it minimizes a quantile loss during training to produce accurate probabilistic forecasts. In this study, we evaluate the performance of hourly GHI forecasts on eight diverse datasets with varying climates: temperate, cold, arid, and equatorial, for multiple temporal horizons of 2, 3, 6, 12, and 24 h. The model is benchmarked against both climatological persistence for deterministic forecasting and Complete History Persistence Ensemble for probabilistic forecasting. To prove that our model is not location locked, it has been blind tested on four completely different datasets. The results demonstrate that the proposed model outperforms its counterparts across all forecast horizons.

Physics-informed neural networks for modeling astrophysical shocks

Physics-informed neural networks (PINNs) are machine learning models that integrate data-based learning with partial differential equations (PDEs). In this work, for the first time we extend PINNs to model the numerically challenging case of astrophysical shock waves in the presence of a stellar gravitational field. Notably, PINNs suffer from competing losses during gradient descent that can lead to poor performance especially in physical setups involving multiple scales, which is the case for shocks in the gravitationally stratified solar atmosphere. We applied PINNs in three different setups ranging from modeling astrophysical shocks in cases with no or little data to data-intensive cases. Namely, we used PINNs (a) to determine the effective polytropic index controlling the heating mechanism of the space plasma within 1% error, (b) to quantitatively show that data assimilation is seamless in PINNs and small amounts of data can significantly increase the model’s accuracy, and (c) to solve the forward time-dependent problem for different temporal horizons. We addressed the poor performance of PINNs through an effective normalization approach by reformulating the fluid dynamics PDE system to absorb the gravity-caused variability. This led to a huge improvement in the overall model performance with the density accuracy improving between 2 and 16 times. Finally, we present a detailed critique on the strengths and drawbacks of PINNs in tackling realistic physical problems in astrophysics and conclude that PINNs can be a powerful complimentary modeling approach to classical fluid dynamics solvers.

A New Tool for Mapping Water Yield in Cold Alpine Regions

Watershed management requires reliable information about hydrologic ecosystem services (HESs) to support decision-making. In cold alpine regions, the hydrology regime is largely affected by frozen ground and snow cover. However, existing special models of ecosystem services usually ignore cryosphere elements (such as frozen ground and snow cover) when mapping water yield, which limits their application and promotion in cold alpine regions. By considering the effects of frozen ground and snow cover on water yield, a new version of the Seasonal Water Yield model (SWY) in the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) was presented and applied in the Three-River Headwaters Region (TRHR) in southeastern Qinghai-Tibetan Plateau (QTP). Our study found that incorporating the effects of frozen ground and snow cover improved model performance. Frozen ground acts as a low permeable layer, reducing water infiltration, while snow cover affects water yield through processes of melting and sublimation. Both of these factors can significantly impact the distribution of spatial and temporal quickflow and baseflow. The annual average baseflow and water yield of the TRHR would be overestimated by 13 mm (47.58 × 108 m3/yr) and 14 mm (51.24 × 108 m3/yr), respectively, if the effect of snow cover on them is not considered. Furthermore, if the effect of frozen ground on water yield were not accounted for, there would be an average of 6 mm of quickflow misestimated as baseflow each year. Our study emphasizes that the effects of frozen ground and snow cover on water yield cannot be ignored, particularly over extended temporal horizons and in the context of climate change. It is crucial to consider their impacts on water resources in cold alpine regions when making water-related decisions. Our study widens the application of the SWY and contributes to water-related decision-making in cold alpine regions.