Hasil untuk "Modern"

M. Horkheimer, Theodor Wiesengrund Adorno, J. Cumming

Dialectic of Enlightenment is, quite justifiably, one of the most celebrated and often cited works of modern social philosophy. It has been identified as the keystone of the 'Frankfurt School', of which Theodor Adorno and Max Horkheimer were the leading members, and does not cease to impress in its wide-ranging ambition and panache. Adorno and Horkheimer addressees themselves to a question which went to the very heart of the modern age, namely 'why mankind, instead of entering into a truly human condition, is sinking into a new kind of barbarism'. Modernity, far from redeeming the promises and hopes of the Enlightenment, had resulted in a stultification of mankind and an administered society, characterised by simulation and candy-floss entertainment. To seek an answer to the question of how such a condition could arise, Adorno and Horkheier subjected the whole history of Western catagories of reason and nature, from Homer to Nietzsche, to a searching philosophical and psychological critique. Drawing on psychoanalytical insights, their own work on the 'culture industry', deep knowledge of the key Enlightenment and anti-Enlightenment thinkers, as well as fascinating considerations on the relationship between reason and myth - the rational and the irrational - the authors exposed the domination and violence towards both nature and humanity that underpin the Enlightenment project.

Gianfranco Bertone, Dan Hooper

Although dark matter is a central element of modern cosmology, the history of how it became accepted as part of the dominant paradigm is often ignored or condensed into an anecdotal account focused around the work of a few pioneering scientists. The aim of this review is to provide a broader historical perspective on the observational discoveries and the theoretical arguments that led the scientific community to adopt dark matter as an essential part of the standard cosmological model.

A. Demirbaş

M. Berman

T. S. Reynolds, Thomas P. Hughes

S. Brooks, J. M. Suchey

K. Rao, C. Mathews

H. Wehr, Hans Wehr's, H. Wehr et al.

Soulaimane Berkane

This tutorial presents a control-oriented introduction to aided inertial navigation systems using a Lie-group formulation centered on the extended Special Euclidean group SE_2(3). The focus is on developing a clear and implementation-oriented geometric framework for fusing inertial measurements with aiding information, while making the role of invariance and symmetry explicit. Recent extensions, including higher-order state representations, synchronous observer designs, and equivariant filtering methods, are discussed as natural continuations of the same underlying principles. The goal is to provide readers with a coherent system-theoretic perspective that supports both understanding and practical use of modern aided inertial navigation methods.

Jagad Aditya Dewantara, Dasim Budimansyah, Wibowo Heru Prasetiyo et al.

This paper examines the civic identity of the Dayak people in the West Kalimantan border region within the context of ethnic transnationalism, emphasizing the role of custom and cross-border mobility. Recognizing that Dayak communities have historically lived beyond the boundaries of modern states, the study conceptualizes citizenship as a lived social experience that does not always align with nation-state logic. Using ethnographic methods, the research explores how Dayak people interpret citizenship through everyday practices, kinship relations, and cross-border interactions. The findings show that citizenship is understood situationally and pragmatically, particularly in relation to administrative needs and access to state services, while ethnic and customary identities remain the primary basis of social loyalty. Custom functions as a value framework regulating community membership, social relations, and attachment to ancestral lands across borders. Continuous mobility sustains a transnational social space where borders are negotiated administrative structures rather than rigid social boundaries. The study highlights the layered and dynamic nature of border citizenship and contributes to scholarship on indigenous transnationalism.

E. Sudarshan, N. Mukunda

Zhenyu Wang

This paper introduces LogitLens4LLMs, a toolkit that extends the Logit Lens technique to modern large language models. While Logit Lens has been a crucial method for understanding internal representations of language models, it was previously limited to earlier model architectures. Our work overcomes the limitations of existing implementations, enabling the technique to be applied to state-of-the-art architectures (such as Qwen-2.5 and Llama-3.1) while automating key analytical workflows. By developing component-specific hooks to capture both attention mechanisms and MLP outputs, our implementation achieves full compatibility with the HuggingFace transformer library while maintaining low inference overhead. The toolkit provides both interactive exploration and batch processing capabilities, supporting large-scale layer-wise analyses. Through open-sourcing our implementation, we aim to facilitate deeper investigations into the internal mechanisms of large-scale language models. The toolkit is openly available at https://github.com/zhenyu-02/LogitLens4LLMs.

Iro Lim, Haein Ji, Byungjun Kim

This study introduces KPoEM (Korean Poetry Emotion Mapping), a novel dataset that serves as a foundation for both emotion-centered analysis and generative applications in modern Korean poetry. Despite advancements in NLP, poetry remains underexplored due to its complex figurative language and cultural specificity. We constructed a multi-label dataset of 7,662 entries (7,007 line-level and 615 work-level), annotated with 44 fine-grained emotion categories from five influential Korean poets. The KPoEM emotion classification model, fine-tuned through a sequential strategy -- moving from general-purpose corpora to the specialized KPoEM dataset -- achieved an F1-micro score of 0.60, significantly outperforming previous models (0.43). The model demonstrates an enhanced ability to identify temporally and culturally specific emotional expressions while preserving core poetic sentiments. Furthermore, applying the structured emotion dataset to a RAG-based poetry generation model demonstrates the empirical feasibility of generating texts that reflect the emotional and cultural sensibilities of Korean literature. This integrated approach strengthens the connection between computational techniques and literary analysis, opening new pathways for quantitative emotion research and generative poetics. Overall, this study provides a foundation for advancing emotion-centered analysis and creation in modern Korean poetry.

Lefteris Loukas, Nikolaos Smyrnioudis, Chrysa Dikonomaki et al.

We present GR-NLP-TOOLKIT, an open-source natural language processing (NLP) toolkit developed specifically for modern Greek. The toolkit provides state-of-the-art performance in five core NLP tasks, namely part-of-speech tagging, morphological tagging, dependency parsing, named entity recognition, and Greeklishto-Greek transliteration. The toolkit is based on pre-trained Transformers, it is freely available, and can be easily installed in Python (pip install gr-nlp-toolkit). It is also accessible through a demonstration platform on HuggingFace, along with a publicly available API for non-commercial use. We discuss the functionality provided for each task, the underlying methods, experiments against comparable open-source toolkits, and future possible enhancements. The toolkit is available at: https://github.com/nlpaueb/gr-nlp-toolkit

Michael Fitzpatrick, Vinicius Placco, Adam Bolton et al.

The US National Gemini Office (US NGO), part of the Community Science and Data Center (CSDC) at NSF's NOIRLab, has completed a project to upgrade the IRAF-based Gemini reduction software to provide a fully supported system capable of running natively on modern hardware. This work includes 64-bit platform ports of the GEMINI package and dependency tasks (e.g. from the STSDAS external package), upgrades to the core IRAF system and all other external packages to fix any platform and licensing problems, and the establishment of fully supported Help Desk and distribution systems for the user community. Early results show a 10-20X speedup of execution times using the native 64-bit software compared to the virtualized 32-bit solutions now in use. Results are even better on new Apple M1/M2 platforms where the additional overhead of Intel CPU emulation can be eliminated. Timing comparisons, science verification testing, and release plans are discussed.

D. V. Dukov, A. N. Russkikh, A. D. Shabokha et al.

The article presents an analysis of scientific literature devoted to the study of surgical anatomy of the ligamentous apparatus and metatarsal bones of the human foot. The literature covers the issues of macroanatomy and histology of the ligaments and metatarsal bones of the foot quite fully. At the same time, issues related to the same shape and size of bones, the relative position of ligaments, their histotopographic features are contradictory, which is associated with high variability, individual and age variability in combination with a number of social factors and features of the regions of residence. The work shows that at present, the data of domestic and foreign scientific literature on the anatomy and topography of the bones and ligaments of the metatarsal bones of the human foot are presented either by sectional studies or by the results of clinical observations using diagnostic equipment. The existing studies do not provide a comprehensive picture of the surgical anatomy of the ligamentous apparatus and metatarsal bones of the human foot. The article reflects the need for widespread use in fundamental anatomical studies of ligaments and metatarsal bones using the histotopographic method of research, quantitative and qualitative assessment of morphological parameters, which open up new possibilities for diagnosing pathological processes and developing new surgical techniques.

S. Clegg

L. Bolman, T. Deal

Xiaoye Miao, Huanhuan Peng, Xinyu Huang et al.

Data play an increasingly important role in smart data analytics, which facilitate many data-driven applications. The goal of various data markets aims to alleviate the issue of isolated data islands, so as to benefit data circulation. The problem of data pricing is indispensable yet challenging in data trade. In this paper, we conduct a comprehensive survey on the modern data pricing solutions. We divide the data pricing solutions into three major strategies and thirteen models, including query pricing strategy, feature-based data pricing strategy, and pricing strategy in machine learning. It is so far the first attempt to classify so many existing data pricing models. Moreover, we not only elaborate the thirteen specific pricing models within each pricing strategy, but also make in-depth analyses among these models. We also conclude five research directions for the data pricing field, and put forward some novel and interesting data pricing topics. This paper aims at gaining better insights, and directing the future research towards practical and sophisticated pricing mechanisms for better data trade and share.

G. S. Bisnovatyi-Kogan, A. M. Nikishin

It is accepted in modern cosmology that the scalar field responsible for the inflationary stage of the early Universe is completely transformed into matter. It is assumed that the accelerated expansion is currently driven by dark energy (DE), which is likely determined by Einstein's cosmological constant. We consider a cosmological model where DE can have two components, one of which is Einstein's constant ($Λ$) and the other, smaller variable component DEV ($Λ_V$), is associated with the remnant of the scalar field that caused inflation after the main part of the scalar field has turned into matter. It is assumed that such a transformation continues at the present time and is accompanied by the reverse process of the DM transformation into a scalar field. The interconnection between DM and DEV, which leads to a linear relationship between the energy densities of these components after recombination $ρ_{DM}=α\;ρ_{DEV}$, is considered. Variants with a dependence of the coefficient $α(z)$ on the redshift are also considered. One of the problems that have arisen in modern cosmology, called Hubble Tension (HT), is the discrepancy between the present values of the Hubble constant measured from observations at small redshifts $z\lesssim1$ and the values found from fluctuations of the cosmic microwave background at large redshifts $z\approx1100$. In the considered model, this discrepancy can be explained by the deviation of the real cosmological model from the conventional cold dark matter (CDM) model of the Universe by action of the additional DE component at the stages after recombination. Within this extended model, we consider various $α(z)$ functions that can eliminate the HT. To maintain the ratio of DEV and DM energy densities close to constant over the interval $0\le z\le1100$, we assume the existence of a wide spectrum of DM particle masses.