Academic Articles & Research Papers

“Like a small trip back to the GDR”? East German evaluations of the television serial Weissensee and its authenticity in a dynamic discourse landscape

In this article, I take the example of the historical German television fiction success Weissensee and ask how East Germans have read and judged the way this serial constructed their past more than a decade after its television premiere. Th...

AS Communication Studies: The Essential Introduction

Introduction Part I - Studying Communication 1. Studying 2. Communication Part II - Effective Communication Part III - Texts and Meaning in Communication 1. Communication as Text 2. Texts and Meanings 3. Decoding and De-coding 4. Words and ...

Multilevel Pulse Position Modulation With Level Trimming for Electromagnetic Nanocommunications in the Terahertz Band

Nanomachines are submicrometer-scale devices led by nanotechnology that can perform simple sensing, local actuation, limited data processing, storage, and communication tasks in the terahertz (THz) band, that is, from $\mathrm {0.1~}$ - $...

Mathematics Anxiety, Working Memory, and Mathematics Performance in Secondary-School Children

Mathematics anxiety (MA) has been defined as "a feeling of tension and anxiety that interferes with the manipulation of numbers and the solving of math problems in a wide variety of ordinary life and academic situations." Previous studies h...

A Novel Energy-Efficient Reception Method Based on Random Network Coding in Cooperative Wireless Sensor Networks

This paper presents an opportunistic reception (OR) algorithm for energy-efficient transmission in cooperative wireless sensor networks (WSNs), where the characteristics of random linear network coding and the energy consumption property of...

¿Hacia dónde va la psicolingüística? What is the new course of psycholinguistics?

Este trabajo revisa de modo introductorio la preocupación de destacados pensadores en la historia de los estudios de la relación lenguaje-pensamiento. Del mismo modo se analizan los periodos de la psicolingüística como ciencia de la comunic...

Human Pacemakers and Experiential Reading

This paper applies an embodied perspective to the study of reading and has a two-fold aim: (i) to discuss how reading is best understood in terms of cultural-cognitive performance that involves living bodies who actively engage with reading...

DECODING BOTS OF TERRORISM IN BALOCHISTAN

Since the withdrawal of the US / North Atlantic Treaty Organization (NATO) forces from Afghanistan in August 2021, Balochistan has experienced a renewed wave of terrorism with improved organisational/operational capabilities and better-equi...

Decoding cross-cultural textbook networks: structural patterns, formation mechanisms, and predictive insights using a topology–cognition framework

Abstract Conventional textbook analysis often faces fragmented frameworks, obscuring the relationship between content structure and cognitive development. To address this gap, we propose an integrative computational modeling framework that ...

Quantum error correction with an Ising machine under circuit-level noise

Efficient decoding to estimate error locations from outcomes of syndrome measurements is the prerequisite for quantum error correction. Decoding in the presence of circuit-level noise including measurement errors should be considered in cas...

On the way to a distributed systems calculus

Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide end-to-end quality of service guarantees for integrated and di...

Context-Aware Bidirectional Neural Model for Sindhi Named Entity Recognition

Named entity recognition (NER) is a fundamental task in many natural language processing (NLP) applications, such as text summarization and semantic information retrieval. Recently, deep neural networks (NNs) with the attention mechanism yi...

A high robustness decoding technique for ultrasound modulated electroencephalogram.

Generative-augmented multimodal neuroaffective decoding for product evaluation: toward neurofeedback-driven human-in-the-loop co-design.

Edge-intelligent lightweight vision system for perspective-corrected egg-cage matching in cage-reared ducks

In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...

Enhancing image caption generation through context-aware attention mechanism

Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...

Understanding transformation tolerant visual object representations in the human brain and convolutional neural networks

Forming transformation-tolerant object representations is critical to high-level primate vision. Despite its significance, many details of tolerance in the human brain remain unknown. Likewise, despite the ability of convolutional neural ne...

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages....

Computational Linguistics and Deep Learning

Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pun...

Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses signi...