Tootfinder

Here @… gets at something important: programming languages aren’t just a pile of syntax and features. They have context, motivations, idioms, expectations, communities. These things are all interrelated; in fact, they are all •part of the language•. And they are the things a language guide should communicate.
https://ddrake.prose.sh/why_i_hate_programming_language_intro_tutorials

"Two final considerations include (1) the necessity of being both deliberate and strategic and (2) the importance of being flexible and even whimsical about your future."
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.…

Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications
Liangxin Qian, Jun Zhao
https://arxiv.org/abs/2507.04657 …

Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications
In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless communication systems. Addressing this challenge, our paper introduces the innovative concept of data processing efficiency (DPE), aiming to maximize processed bits per unit of resource consumption in blockchain-empowered Metaverse environments. To achieve this, we propose the DPE-Aware User Association and Resource A…

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Haoyun Li, Ming Xiao, Kezhi Wang, Robert Schober, Dong In Kim, Yong Liang Guan
https://arxiv.org/abs/2506.05637

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Integrated sensing and communication (ISAC) has been envisioned to play a more important role in future wireless networks. However, the design of ISAC networks is challenging, especially when there are multiple communication and sensing (C\&S) nodes and multiple sensing targets. We investigate a multi-base station (BS) ISAC network in which multiple BSs equipped with multiple antennas simultaneously provide C\&S services for multiple ground communication users (CUs) and targets. To enhance the …

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
Mohammed Almutairi
https://arxiv.org/abs/2506.05490 https://

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change from in person learning traditional to online platforms. The change of learning convention has impacted the teacher-student especially in non-verbal communication. The absent of non-verbal communication has led to a reliance on verbal feedback which diminished the efficacy of the educational experience. This paper explores the integration of sentiment analysis into learning management systems (LMS)…

Longer Lists Yield Better Matchings
Yuri Faenza, Aapeli Vuorinen
https://arxiv.org/abs/2506.06217 https://arxiv.org/pdf/2506.06217

Longer Lists Yield Better Matchings
Many centralized mechanisms for two-sided matching markets that enjoy strong theoretical properties assume that the planner solicits full information on the preferences of each participating agent. In particular, they expect that participants compile and communicate their complete preference lists over agents from the other side of the market. However, real-world markets are often very large and agents cannot always be expected to even produce a ranking of all options on the other side. It is t…

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks
Ruoxi Wang, Kun Li, Minghui Xu, Yue Zhang, Kaidi Xu, Chunchi Liu, Yinhao Xiao, Xiuzhen Cheng
https://arxiv.org/abs/2507.04931

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks
Dynamic Symbolic Execution (DSE) is a key technique in program analysis, widely used in software testing, vulnerability discovery, and formal verification. In distributed AI systems, DSE plays a crucial role in identifying hard-to-detect bugs, especially those arising from complex network communication patterns. However, traditional approaches to symbolic execution are often hindered by scalability issues and inefficiencies, particularly in large-scale systems. This paper introduces LIFT (Large…

Por fin va a llegar el metro a Lo Espejo y también al aeropuerto. 👇🏻
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Boric anuncia que Metro llegarš al aeropuerto, Lo Espejo y Maipú
https://www.malaespinacheck.cl/pais/2025/06/01/metro-aeropuerto-lo-espejo-maipu/

Fluid Antenna System-Assisted Self-Interference Cancellation for In-Band Full Duplex Communications
Hanjiang Hong, Kai-Kit Wong, Hao Xu, Yiyan Wu, Sai Xu, Chan-Byoung Chae, Baiyang Liu, Kin-Fai Tong
https://arxiv.org/abs/2506.05569

Fluid Antenna System-Assisted Self-Interference Cancellation for In-Band Full Duplex Communications
In-band full-duplex (IBFD) systems are expected to double the spectral efficiency compared to half-duplex systems, provided that loopback self-interference (SI) can be effectively suppressed. The inherent interference mitigation capabilities of the emerging fluid antenna system (FAS) technology make it a promising candidate for addressing the SI challenge in IBFD systems. This paper thus proposes a FAS-assisted self-interference cancellation (SIC) framework, which leverages a receiver-side FAS …

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks
Jiajia Guo, Peiwen Jiang, Chao-Kai Wen, Shi Jin, Jun Zhang
https://arxiv.org/abs/2507.05121

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks
Accurate channel state information (CSI) is critical to the performance of wireless communication systems, especially with the increasing scale and complexity introduced by 5G and future 6G technologies. While artificial intelligence (AI) offers a promising approach to CSI acquisition and utilization, existing methods largely depend on task-specific neural networks (NNs) that require expert-driven design and large training datasets, limiting their generalizability and practicality. To address t…