Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Yangfan Lu, Sareer Ahmad, Shaista Noureen et al. · 2025 · Humanities and Social Sciences Communications
Renewable energy, technology, and innovation are central to sustainable development, but their effects vary by country because of institutional and economic differences. Previous studies often ignore these differences. By incorporating…
View details →DOI: 10.1057/s41599-025-05823-7Cited by 11 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Marco Raffaele Cosenza, Alice Gaiatto, Büşra Erarslan Uysal et al. · 2025 · Nature
, the underlying processes and rates of spontaneous CA formation in human cells are underexplored. Here we introduce machine-learning-assisted genomics and imaging convergence (MAGIC)-an autonomously operated platform that integrates live-cell imaging of micronucleated cells, machine learning on-the-fly and single-cell genomics to systematically investigate CA formation. Applying MAGIC to near-diploid, non-transformed cell lines, we track de novo CAs over successive cell cycles, highlighting the common role of dicentric chromosomes as initiating events. We determine the baseline CA mutation ra
View details →DOI: 10.1038/s41586-025-09632-5Cited by 11 Negative / Null Result ReportOpen accessMedicine
Edward Tyrrell, Suniljeet Sandhu, Kathryn Berry et al. · 2025 · JMIR Formative Research
Background: There is a need to increase health care professional training capacity to meet global needs by 2030. Effective communication is essential for delivering safe and effective patient care. Artificial intelligence (AI) technologies may provide a solution. However, evidence for high-fidelity virtual patient simulators using unrestricted 2-way verbal conversation for communication skills training is lacking. Objective: This study aims to compare a fully automated AI-driven voice recognition-based virtual patient simulator with traditional actor-based consultation skills simulated trainin
View details →DOI: 10.2196/71667Cited by 11 Replication FailureOpen accessMedicine
Lisa H. Glynn, E Moloney, Stephen Lane et al. · 2025 · JMIR mhealth and uhealth
BACKGROUND: Chronic obstructive pulmonary disease (COPD) negatively impacts clinical health outcomes, resulting in frequent exacerbations, increased hospitalizations, reduced physical activity, deteriorated quality of life, and diminished self-efficacy. Previous studies demonstrated that a self-management program tailored for adults with COPD improves self-management decisions, resulting in a positive effect on clinical health outcomes. Limitations of these studies include issues regarding heterogeneity among interventions used, patient population characteristics, outcome measures, and longitu
View details →DOI: 10.2196/56318Cited by 11 Negative / Null Result ReportOpen accessBusiness, Management and Accounting
Luca Henkel, Christian Zimpelmann · 2026 · Review of Financial Studies
Abstract This paper introduces a key factor influencing households’ decision to invest in the stock market: how people view stockholders. Using surveys we conducted with nearly 8,500 individuals from 11 countries, we document that a large majority hold negative views of stockholders based on identity-relevant characteristics. Linking survey and administrative data, we find that negative perceptions strongly predict households’ stock market participation. We show that negative perceptions causally influence household decision-making and provide evidence supporting identity concerns as the under
View details →DOI: 10.1093/rfs/hhag034Cited by 11 Negative / Null Result ReportEngineering
Tianxin Hou, S X Liu, Weiyu Mao et al. · 2026 · International Journal of Pavement Engineering
The dynamic response analysis of aircraft and rigid pavement is critical for runway design and roughness evaluation. Existing methods typically assume fixed aircraft parameters, but actual variations in aircraft weight, landing gear, and…
View details →DOI: 10.1080/10298436.2026.2666268Cited by 11 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Tianyang Zhao, Noemí Echegaray, José M. Lorenzo et al. · 2025 · Food Control
Food safety and environmental concerns are global challenges that require innovative solutions, and alternative protein sources like insect proteins, plant-based meat analogs (PBMAs), and single-cell proteins represent promising pathways toward sustainable nutrition. These proteins are produced through different techniques including extrusion, fermentation, and cell cultivation, with emerging technologies like 3D printing and shear cell structuring enhancing their texture and nutritional quality. Beyond their technological advantages, these alternatives provide significant environmental benefi
View details →DOI: 10.1016/j.foodcont.2025.111777Cited by 11 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
He Chen, Shaochen Yu, Mengjie Zhang et al. · 2026 · Frontiers in Immunology
Inflammatory bowel disease (IBD) is a chronic inflammatory disorder resulting from a combination of genetic susceptibility, environmental factors, and an abnormal immune response of the intestinal immune system to commensal microorganisms. The gut microbiota and its metabolites play a pivotal role in maintaining intestinal immune homeostasis. Recent advances indicate that dysbiosis of the microbiota is accompanied by alterations in its metabolic functions. Abnormal levels of key metabolites, particularly short-chain fatty acids (SCFAs), tryptophan derivatives, and secondary bile acids, are clo
View details →DOI: 10.3389/fimmu.2026.1780865Cited by 11 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Wagner Augusto Müller, Sandro Binsfeld Ferreira, Suse Botelho da Silva · 2026 · Journal of Food Science
Effective cold chain management is crucial for ensuring food safety, but traditional monitoring approaches remain reactive and fragmented. Industry 4.0 technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), offer transformative potential for real-time tracking, automation, and predictive analytics. Many studies have explored the application of IoT and AI in the cold chain, but the existing literature focuses on isolated technologies. This review presents an integrated perspective, examining the synergistic potential of IoT-enabled data acquisition and AI-driven pr
View details →DOI: 10.1111/1750-3841.70871Cited by 11 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Sumon Islam, Md. Hassan Bin Nabi, Iftekhar Ahmad et al. · 2026 · International Journal of Food Science
Encapsulation is an essential technology for the stabilization and controlled delivery of bioactive compounds in contemporary foods, but studies are mostly technique-based and seem not to be associated with the actual performance in the world. This review considers micro- and nanoencapsulation based on real-world performance bioavailability, food-matrix compatibility, industrial scalability, and regulatory feasibility, as well as long-term environmental sustainability as opposed to encapsulation efficiencies in the laboratory. We demonstrate that high encapsulation efficacy is not necessarily
View details →DOI: 10.1155/ijfo/7367634Cited by 11 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Bo Yang, Fatma Ahmed Hassan, Waqar Ahmad et al. · 2026 · Frontiers in Public Health
Air pollution (AIRP) remains a critical public health and environmental challenge in developing Asia, where rapid industrialization and fossil fuel dependence continue to undermine population health and longevity. This study examines the impact of AIRP on life expectancy (LIFE) and investigates whether renewable energy adoption moderates this relationship. AIRP is proxied by carbon dioxide (CO₂) and nitrous oxide (N₂O) emissions, which capture pollution-intensive energy systems, industrial activity, and agricultural practices that jointly generate health-damaging co-pollutants, particularly in
View details →DOI: 10.3389/fpubh.2026.1724402Cited by 11 Negative / Null Result ReportPsychology
Muhammad Ahsan Younas, Rashid Menhas, Uzma Noor · 2026 · European Journal of Education
ABSTRACT This study investigates the multifaceted role of artificial intelligence (AI) and digital transformation (DT) in reshaping smart learning environments within the education sector. Using structural equation modelling with data…
View details →DOI: 10.1111/ejed.70536Cited by 11 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Gabriele Cristelli, Francesco Lissoni · 2026 · Journal of the European Economic Association
Abstract We study the innovation effects of the Agreement on the Free Movement of Persons, signed by Switzerland and the European Union in 1999. We exploit a quasi-experimental setting created by Switzerland’s implementation of the treaty, which initially eased entry restrictions only for commuters from neighboring countries, thereby inducing a large inflow of “cross-border inventors” in regions close to the border. We find that the treaty increased patenting in such regions relative to comparable ones farther away from the border. We find no evidence indicating the displacement of native inve
View details →DOI: 10.1093/jeea/jvag003Cited by 11 Negative / Null Result ReportOpen accessPhysics and Astronomy
Hanjie Tan, Xiaoran Yan, Jian‐Yang Li · 2026 · The Astrophysical Journal Letters
Abstract 3I/ATLAS is an interstellar object whose activity provides critical insights into its composition and origin. However, due to its orbital geometry, the object is too close to the Sun near perihelion to be observed from the ground, and space-based measurements are therefore required. Here we characterize the water production rate of 3I/ATLAS using Solar and Heliospheric Observatory/SWAN Ly α observations from 2025 November to December (heliocentric distances 1.4–2.2 au) with 3D Monte Carlo modeling. We report a peak postperihelion water production rate of Q H 2 O ≈ 4 × 1 0 28 molecules
View details →DOI: 10.3847/2041-8213/ae3c97Cited by 11 Negative / Null Result ReportOpen accessMedicine
Indira Paz‐Graniel, Junko Kose, Pauline Duquenne et al. · 2025 · American Journal of Preventive Medicine
INTRODUCTION: Smoking has been independently related to an increased risk of Type 2 diabetes, whereas the role of alcohol remains controversial. The joint impact of tobacco and alcohol use on Type 2 diabetes risk is understudied. This…
View details →DOI: 10.1016/j.amepre.2025.108011Cited by 11 Replication FailureOpen accessMedicine
Gail D’Onofrio, Andrew A. Herring, Kathryn F. Hawk et al. · 2026 · JAMA
Importance: Extended-release injectable buprenorphine may expand the reach of initiating medications for opioid use disorder in high-risk and hard-to-reach individuals who visit the emergency department (ED) and can be administered in low…
View details →DOI: 10.1001/jama.2025.27019Cited by 11 Negative / Null Result ReportOpen accessPsychology
Sarah Shi Hui Wong, Sophia Xuefei Qiu · 2026 · Educational Psychology Review
Abstract Generative artificial intelligence (AI) tools such as ChatGPT can boost creative performance, but do these boosts translate into learning gains? This study examined whether the benefits of ChatGPT for creativity persist even when its assistance is removed, and how people can effectively use ChatGPT to enhance their learning and independent creativity. University students ( N = 196) solved a creative product improvement task either independently (human-only group) or using ChatGPT freely (general-AI group) or using ChatGPT in a guided way (regulated-AI group). Specifically, the regulat
View details →DOI: 10.1007/s10648-026-10118-7Cited by 11 Replication FailureOpen accessHealth Professions
Dian Zhu, Jianan Zhao, Tong Wu et al. · 2025 · JMIR mhealth and uhealth
Background: Exercise is a primary recommended treatment for knee osteoarthritis (KOA), as it helps alleviate symptoms and improves joint functionality. Personalized exercise programs, tailored to individual patient needs, have demonstrated promising results in maintaining physical fitness and enhancing overall well-being. In recent years, digital health applications have emerged as innovative tools for supervising and facilitating rehabilitation programs. Leveraging computer vision (CV) technology, these applications offer the potential to provide precise feedback and support personalized exer
View details →DOI: 10.2196/63022Cited by 11 Negative / Null Result ReportOpen accessEnvironmental Science
Timothy S. Collett, Scott Marsteller, Ray M. Boswell et al. · 2026 · Energy & Fuels
Abstract The “Collaborative Gas Hydrate R&D Project in Alaska,” led by the Japan Organization for Metals and Energy Security (JOGMEC), the U.S. Department of Energy (DOE), and the U.S. Geological Survey, aims to examine and assess gas…
View details →DOI: 10.1021/acs.energyfuels.6c00867Cited by 11 Negative / Null Result ReportOpen accessPharmacology, Toxicology and Pharmaceutics
Francelle Bouwer, Marius Brits, Joe M. Viljoen · 2025 · Pharmaceutics
Dermal drug delivery is a promising alternate route of drug administration, offering localized therapeutic effects, reduced systemic effects, and improved patient compliance. However, the skin’s intricate configuration, especially the stratum corneum (SC), presents formidable barriers, restricting drug permeation. This review summarizes biological, synthetic, and methodological models employed to study dermal absorption and permeability. Ex vivo human skin is a reference point, but limited availability and ethical constraints necessitate reliance on animal models, including porcine, rodent, ra
View details →DOI: 10.3390/pharmaceutics17121586Cited by 11 Negative / Null Result ReportOpen accessPhysics and Astronomy
Chloe E. Pugh · 2026 · Kyoto University Research Information Repository (Kyoto University)
Quasi-periodic pulsations (QPPs) are a phenomenon commonly observed in solar flares, and are also occasionally observed in stellar flares. They are time variations in the intensity of the flare emission that repeat with approximately…
View details →DOI: 10.82444/warw.33766342Cited by 11 Negative / Null Result ReportOpen accessMedicine
Nemanja Maletin · 2026 · Frontiers in Immunology
The tumor microenvironment (TME) is increasingly recognized as a dynamic regulator of cancer progression and therapeutic resistance. Far from being a passive scaffold, the TME comprises diverse immune and stromal components, including cancer-associated fibroblasts, myeloid-derived suppressor cells, tumor-associated macrophages, dysfunctional vasculature, and metabolic stressors, that collectively shape tumor evolution and modulate treatment response. In this review, we explore how spatial immune exclusion, immune cell dysfunction, hypoxia, and metabolic reprogramming create barriers to effecti
View details →DOI: 10.3389/fimmu.2026.1785587Cited by 11 Negative / Null Result ReportOpen accessNeuroscience
Stuart Berg, Isabella R. Beckett, Marta Costa et al. · 2026 · Cell
Sex differences in behavior exist across all animals, typically under strong genetic regulation. In Drosophila, fruitless/doublesex transcription factors identify dimorphic neurons, but their organization into functional circuits remains unclear. We present the connectome of the entire Drosophila male central nervous system. This contains 166,700 neurons spanning the brain and nerve cord, fully proofread and annotated, including fruitless/doublesex expression and 11,710 neuron types. We provide the first comprehensive comparison between male and female brain connectomes to synaptic resolution,
View details →DOI: 10.1016/j.cell.2026.08.015Cited by 11 Negative / Null Result ReportOpen accessEngineering
João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa et al. · 2026 · Mechanical Systems and Signal Processing
Reliable detection of bearing faults is essential for maintaining the safety and operational efficiency of rotating machinery. While recent advances in machine learning (ML), particularly deep learning, have shown strong performance in controlled settings, many studies fail to generalize to real-world applications due to methodological flaws, most notably data leakage. This paper investigates the issue of data leakage in vibration-based bearing fault diagnosis and its impact on model evaluation. We demonstrate that common dataset partitioning strategies, such as segment-wise and condition-wise
View details →DOI: 10.1016/j.ymssp.2026.114640Cited by 11 Negative / Null Result ReportOpen accessEngineering
Yiyin Nie, Shujie Jiao, Xing Yang et al. · 2026 · Light Science & Applications
Abstract The rapid advancement of artificial intelligence has propelled the development of β-Ga 2 O 3 photo-synapses for solar-blind ultraviolet neuromorphic machine vision systems. However, existing β-Ga 2 O 3 photo-synapses not only exhibit reduced stability but also display high weight update nonlinearity. Herein, we propose a novel strategy to construct β-Ga 2 O 3 photo-synapses with low weight update nonlinearity based on self-trapped holes, aiming to achieve multi-level in-sensor computing tasks. Theoretical and experimental investigations revealed that the interaction between the larger
View details →DOI: 10.1038/s41377-026-02298-2Cited by 11 Negative / Null Result ReportOpen accessMedicine
Simon Istenič, Anže Jerman, Luka Pušnik et al. · 2025 · Regional Anesthesia & Pain Medicine
BACKGROUND: There are conflicting data on the efficacy of transnasal topical anesthetic approaches intended to achieve a pterygopalatine ganglion block, specifically regarding the extent to which local anesthetics reach the pterygopalatine…
View details →DOI: 10.1136/rapm-2025-106553Cited by 11 Negative / Null Result ReportOpen accessMedicine
Maximilian Roithmeier, Simon Geck, Markus Bühner et al. · 2025 · Schizophrenia
Abstract The Positive and Negative Syndrome Scale (PANSS) is widely used to assess schizophrenia symptoms. Initially designed with three subscales, Marder et al.´s 5-factor-Model (M5M) first proposed in 1997 has been frequently used in treatment trials, but it has never been systematically reviewed for its measurement properties. We utilized the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guideline for systematic reviews and meta-analytical procedures to assess the psychometric properties of the M5M-PANSS. COSMIN comprises several steps: literature se
View details →DOI: 10.1038/s41537-025-00600-6Cited by 10 Negative / Null Result ReportOpen accessComputer Science
Mahdi Ghafourian, BILGESU SUMER, Rubén Vera-Rodríguez et al. · 2026 · Computers
Biometric recognition, as an efficient and hard-to-forge method of identification and verification, has become an indispensable part of the current digital world. Meanwhile, blockchain has been widely received by both research and industry. Researchers have started to speculate on the pros and cons when these two technologies cross paths. This paper provides a survey of the literature on the combination of blockchain and biometrics and includes a first legal analysis of this integration based on GDPR. Although the integration of blockchain technology into the biometric sector is still in its i
View details →DOI: 10.3390/computers15100716Cited by 10 Negative / Null Result ReportOpen accessArts and Humanities
Gongwei Guo, Zhihui Tang, Honggang Liu · 2026 · European Journal of Education
ABSTRACT Although the proliferation of artificial intelligence (AI) and digital tools has facilitated AI‐enhanced and informal digital learning of English, traditional classroom ecology remains a central context for adolescent English‐as‐a‐foreign‐language (EFL) learners' language learning and development. Additionally, while the importance of achievement emotions among tertiary‐level EFL learners has been well established, research on retrospective outcome emotions (e.g., pride and shame) among non‐tertiary EFL learners remains scarce. As such, the study investigated whether and how language
View details →DOI: 10.1111/ejed.70859Cited by 10 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Iveny Makore, Chisinga Ngonidzashe Chikutuma · 2025 · Journal of risk and financial management
Zimbabwe’s economy has experienced extreme exchange rate fluctuations over the past decades, driven by persistent macroeconomic instability and episodes of hyperinflation. The instability in exchange rates can significantly impact trade balances, inflation rates, and overall economic resilience. Understanding the impact of exchange rate volatility (ERV) on international trade is crucial in such a context. This study investigates the impact of exchange rate volatility (ERV) on international trade in Zimbabwe, addressing a literature gap related to its unique economic challenges and hyperinflati
View details →DOI: 10.3390/jrfm18070376Cited by 10 