For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

948 papers reviewed by authors · 111–120 / 948

📄 earth_science

Building Climate-Resilient and Sustainable Cities in Sub-Saharan Africa: Synergistic Urban Heat Island Mitigation through Cool Pavements, Green Roofs, and Biodiversity

This study demonstrates that integrating cool pavements, green roofs, and urban biodiversity in Douala, Cameroon, can reduce near-surface air temperatures by up to 2.42°C, while emphasizing the critical need to address socio-economic feasibility and governance challenges for equitable climate resilience in Sub-Saharan African cities.

Marc Njonko Esdras, Xia Bo, Gama Rivas Daru2026-07-13✓ Author reviewed
📈 economics

Does Transport Infrastructure Quality Really Affect Intra-regional Trade in Sub-Saharan Africa?

Using a dynamic spatial model of 20 Sub-Saharan African countries from 2006 to 2019, this study demonstrates that improving transport infrastructure quality significantly boosts both domestic and neighboring intra-regional trade in the short and long term, prompting a recommendation for supranational institutions to manage infrastructure investment.

Noé Sougrinooma Birba, Somlanare Romuald KINDA, Kirsi ZONGO2026-07-13✓ Author reviewed
📄 chemistry

Density and molar volume of CaO–SiO2–FeO melts measured by electrostatic levitation aboard the International Space Station

Using the Electrostatic Levitation Furnace aboard the International Space Station, researchers measured the densities and molar volumes of CaO–SiO2–FeO melts under microgravity, revealing that density increases with FeO content while molar volume generally aligns with additive-model predictions despite slight deviations at higher FeO concentrations.

Yusaku Seimiya, Masahito Watanabe, Takehiko Ishikawa, Chihiro Koyama, Yuki Watanabe2026-07-11✓ Author reviewed
💰 quantitative finance

The Impact of Publicly Funded Small Business Advisory Services: Firm Take-up and Performance in the United States

Using a novel administrative dataset and a quasi-experimental design based on Small Business Development Center closures and openings, this paper provides causal evidence that reducing geographic distance to publicly funded advisory services significantly increases firm engagement, which in turn leads to substantial gains in annual revenue and employment for US small businesses.

Scott Kaplan, Ryan Raimondi2026-07-10✓ Author reviewed
💬 NLP

Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung

This paper introduces CKTN, the first multilingual corpus and benchmark for Vietnam's Cham, Khmer, and Tay-Nung languages, demonstrating that standard adaptation methods fail due to script and contact differences and proposing a script-aware pretraining recipe that significantly improves encoder performance and semantic generalization.

Anh Trac Duc Dinh, Khang Nhat Hoang Vo, Vinh Cong Doan, Tai Tien Ta, Khoa Duc Anh Lam2026-07-10✓ Author reviewed
💻 computer science

A Risk-Oriented Verification and Validation Framework for Hallucination Detection in Public-Sector LLM Systems

This paper proposes a risk-oriented verification and validation framework that transforms hallucination detection in public-sector LLMs from a purely technical challenge into a governance issue by introducing a composite risk index to guide operational decisions like deferral or human escalation, thereby ensuring legal certainty and administrative accountability.

Nguyen Binh2026-07-10✓ Author reviewed
💻 computer science

An Intelligent YOLO26-Based Early Warning Framework for Drone Detection in Critical Infrastructure Surveillance

This paper proposes an intelligent, real-time drone detection and early warning framework for critical infrastructure surveillance using the YOLO26 deep learning model, which is trained on a custom multi-scenario database and evaluated against baseline models to demonstrate superior accuracy and speed in identifying small, distant, and challenging drone targets.

Younis Arrabi2026-07-10✓ Author reviewed
🔭 astrophysics

Classification of blazars based on data-driven approaches

This study demonstrates that a LightGBM model trained on optical light curve features from GAIA and Pan-STARRS data, with dimensionality reduced via BoostBoruta, can effectively classify active galactic nuclei into blazars and non-blazars with approximately 86% accuracy, even when applied to unknown candidates through self-learning.

Simone Vaccaro (Department of Physics "E. Pancini'', University Federico II of Napoli, Napoli, Italy), Maria Isabel Carn (…)2026-07-10✓ Author reviewed