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Panel: Writing from Where I Stan

新兴非典型被动式“被 XX” 的句法与语义结构 (The syntax and semantics of the new non-canonical bei (被) XX construction.

提要 本文讨论新兴非典型“被 XX”结构的句法、语义特征及历史来源并进行跨 语言的比较研究。本文认为这种“新生”结构不是一个将不及物动词被动化的特殊 句法结构,而是一些隐含了使动、意动或施动成分的轻动词结构。受到被动化的动 词不是 XX 本身,而是其所隐含的无声轻动词。类似的隐含动词结构也大量见于古 汉语、英语等语言,不同的是,现代汉语的“被 XX”结构不能还原为主动形式。 本文将这一不同归因于综合性语言与分析性语言之间的不同,并以“派生时机参 数”为基础的参数理论对此提出解释。从语言演变角度来讲,“被 XX”结构在现 代汉语的出现反映了语言演变遵循“⋯ 综合 → 分析 → 综合 ⋯”的循环模式。Linguistic

The Influence of Chinese Culture–Poetry to Southeast Asian Ethnic Chinese Writers

The poet James (Teng Choon) Na characterized the unique feel of Filipino Chinese literature as traceable to its Southeast Asian roots. He discussed the hibernation of Philippine-Chinese literature, Philippine-Chinese literature under the guidance of the mass media, and new avenues for the development of Philippine-Chinese literature. He concluded with an optimistic note that Philippine-Chinese literature will flourish despite the challenges of the times

Can Large Language Models Infer and Disagree Like Humans?

Large Language Models (LLMs) have shown stellar achievements in solving a broad range of tasks. When generating text, it is common to sample tokens from these models: whether LLMs closely align with the human disagreement distribution has not been well-studied, especially within the scope of Natural Language Inference (NLI). In this paper, we evaluate the performance and alignment of LLM distribution with humans using two different techniques: Monte Carlo Reconstruction (MCR) and Log Probability Reconstruction (LPR). As a result, we show LLMs exhibit limited ability in solving NLI tasks and simultaneously fail to capture human disagreement distribution, raising concerns about their natural language understanding (NLU) ability and their representativeness of human users

Group Maintenance in Technology-Supported Distributed Teams

Are geographically-distributed teams which exhibit high levels of group maintenance between members successful? We answer this through content analysis of emails from two Free/Libre Open Source Software (FLOSS) teams. Our results illustrate that the groups utilize low levels of organizational citizenship behaviors and high levels of positive politeness actions

Separating vascular and neuronal effects of age on fMRI BOLD signals.

Accurate identification of brain function is necessary to understand the neurobiology of cognitive ageing, and thereby promote well-being across the lifespan. A common tool used to investigate neurocognitive ageing is functional magnetic resonance imaging (fMRI). However, although fMRI data are often interpreted in terms of neuronal activity, the blood oxygenation level-dependent (BOLD) signal measured by fMRI includes contributions of both vascular and neuronal factors, which change differentially with age. While some studies investigate vascular ageing factors, the results of these studies are not well known within the field of neurocognitive ageing and therefore vascular confounds in neurocognitive fMRI studies are common. Despite over 10 000 BOLD-fMRI papers on ageing, fewer than 20 have applied techniques to correct for vascular effects. However, neurovascular ageing is not only a confound in fMRI, but an important feature in its own right, to be assessed alongside measures of neuronal ageing. We review current approaches to dissociate neuronal and vascular components of BOLD-fMRI of regional activity and functional connectivity. We highlight emerging evidence that vascular mechanisms in the brain do not simply control blood flow to support the metabolic needs of neurons, but form complex neurovascular interactions that influence neuronal function in health and disease. This article is part of the theme issue 'Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity'.This work is supported by the British Academy (PF160048), the Guarantors of Brain (G101149), the Wellcome Trust (103838), the Medical Research Council (SUAG/051 G101400; and SUAG/046 G101400), European Union’s Horizon 2020 (732592) and the Cambridge NIHR Biomedical Research Centre

Chiral Majorana hinge modes on a curved surface with magnetic impurities

Chiral Majorana one-dimensional modes have been proposed as they key component for topological quantum computing. In this study, we explore their potential realization as hinge modes in higher-order topological superconductors. To create such phases, we engineer a sign-changing, time-reversal symmetry-breaking mass term through an ensemble of magnetic impurities on the surface of a sphere. The magnetization of this ensemble arises from the competition between the external magnetic field and the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction among the impurities, mediated by the surface Majorana modes. We determine the magnetic phase diagram and identify the optimal magnetic field to minimize orbital effects and induce a sign changing mass term. This term opens a gap in the surface spectrum, resulting in a gapless one-dimensional chiral Majorana mode along the nodal line of the mass term, thereby implementing a second-order topological superconductor