Little Evidence That Nonmonogamous Family Structures Are Detrimental to Children’s Well-Being in Mpimbwe, Tanzania

Report on the Academic Paper: “Little Evidence That Nonmonogamous Family Structures Are Detrimental to Children’s Well-Being in Mpimbwe, Tanzania” Academic Background In traditional Western perspectives, nuclear family structures (comprising parents and children) are often considered the cornerstone of children’s well-being. Non-nuclear family stru...

Synthesis of Evidence Yields High Social Cost of Carbon Due to Structural Model Variation and Uncertainties

Synthesis of Evidence Yields High Social Cost of Carbon Due to Structural Model Variation and Uncertainties Academic Background Climate change is one of the most severe challenges facing the world today, with profound impacts on the economy, society, and the environment. To quantify the economic costs of climate change, the academic community has p...

Modeling How and Why Aquatic Vegetation Removal Can Free Rural Households from Poverty-Disease Traps

How Removing Aquatic Vegetation Can Help Rural Households Escape Poverty-Disease Traps Academic Background In low- and middle-income countries, rural populations face relatively high infectious disease prevalence and low agricultural productivity, which together result in low incomes, creating a poverty-disease trap. This trap reinforces poverty an...

Archaeological Evidence of an Ethnographically Documented Australian Aboriginal Ritual Dated to the Last Ice Age

Archaeological Evidence Reveals the Continuity of Ice Age Rituals Among Australian Indigenous Peoples Research Background This study aims to explore the possibility of tracing traditional rituals in Indigenous societies through archaeological means. In societies without written records, ethnographic knowledge spanning more than a few hundred years ...

Mendelian Randomization Evidence for the Causal Effect of Mental Well-being on Healthy Aging

Research Report: Causal Effects of Mental Well-being on Healthy Aging Research Background With the significant increase in average life expectancy, aging issues have become increasingly prominent. Challenges such as comorbidity, disability, and the overall social stability of healthcare services and finances have become more severe. Achieving healt...

Comparing Experience- and Description-based Economic Preferences Across 11 Countries

Comparison of Experiences and Descriptions of Basic Economic Preferences in 11 Countries Background and Motivation Recent studies have shown that humans exhibit a high degree of context-dependency in encoding the value of rewards, which in some cases leads to suboptimal decisions. However, it remains unclear whether this computational limitation is...

Negation Mitigates Rather Than Inverts the Neural Representations of Adjectives

Background Introduction A notable characteristic of human language processing is our ability to combine stored lexical elements, i.e., words, as needed to flexibly generate or alter current meanings. At the core of this process is how we construct semantic representations in real time. Although research on the generation of syntactic structures has...

Prototype-Based Sample-Weighted Distillation Unified Framework Adapted to Missing Modality Sentiment Analysis

Prototype-Based Sample-Weighted Distillation Unified Framework Adapted to Missing Modality Sentiment Analysis

Application of a Prototype-Based Sample Weighted Distillation Unified Framework in Missing Modality Sentiment Analysis Research Background Sentiment analysis is a significant field in Natural Language Processing (NLP). With the development of social media platforms, people increasingly tend to express their emotions through short video clips. This ...

Inhibition Adaption on Pre-Trained Language Models

InA: Inhibition Adaptation Method on Pre-trained Language Models Pre-trained Language Models (LMs) have achieved significant results in Natural Language Processing (NLP) tasks. However, traditional fine-tuning methods suffer from the problem of redundant parameters, which affects efficiency and effectiveness. To address this challenge, this paper p...

Multi-Grained Visual Pivot-Guided Multi-Modal Neural Machine Translation with Text-Aware Cross-Modal Contrastive Disentangling

Multi-Grained Visual Pivot-Guided Multi-Modal Neural Machine Translation with Text-Aware Cross-Modal Contrastive Disentangling

Multi-Scale Vision-Centric Multi-Modal Neural Machine Translation: Text-Aware Cross-Modality Contrastive Decoupling Academic Background Multi-Modal Neural Machine Translation (MNMT) aims to incorporate language-independent visual information into text to enhance machine translation performance. However, due to the significant modal differences betw...