e-ISSN: Pending
Failure-mode index

Search what already failed

A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.

21697 results · page 142 of 724

Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Eco-evolutionary dynamics lead to functionally robust and redundant communities

Lorenzo Fant, Iuri Macocco, Jacopo Grilli · 2026 · PLoS Computational Biology

Microbial communities are taxonomically diverse and variable: species presence and abundances widely fluctuate over time, space, and even across biological replicates under controlled experimental conditions. However, environmental conditions exert strong selection on the traits of community members and their functions. Similar environmental conditions are expected to produce functionally similar communities. This environmental selection, combined with taxonomic variability, leads to the influential concept of functional redundancy - the idea that many species can perform the same function, al

View details →DOI: 10.1371/journal.pcbi.1014437Cited by 11
Negative / Null Result ReportOpen accessEngineering

Effect of TiO2 Content on the Arc-Erosion Resistance of Ag/SnO2 Electrical Contact Materials Prepared via Mechanical Alloying-Assisted Powder Metallurgy

Serkan Biyik, Murat Aydin · 2026 · Journal of Electronic Materials

Abstract In this study, the arc-erosion performances of AgSnO 2 -based electrical contact materials containing different amounts of titanium dioxide (TiO 2 ) were investigated using the mechanical alloying-assisted powder metallurgy method. For this purpose, composite powder synthesis was carried out through grinding experiments using a planetary ball mill, and the produced composite powders were subjected to molding and vacuum sintering processes. Subsequently, electrical wear tests were carried out under inductive loads to investigate the arc-erosion performance of composites. Scanning elect

View details →DOI: 10.1007/s11664-026-12701-8Cited by 11
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Green growth and sustainable energy transitions: evaluating the critical role of technology, resource efficiency, and innovation in Europe’s low-carbon future

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

Origins of chromosome instability unveiled by coupled imaging and genomics

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 accessEngineering

Biologics for bone regeneration: advances in cell, protein, gene, and mRNA therapies

Claudia Del Toro Runzer, Elizabeth R. Balmayor, Martijn van Griensven · 2026 · Bone Research

Bone fractures represent a significant global healthcare burden. Although fractures typically heal on their own, some fail to regenerate properly, leading to nonunion, a condition that causes prolonged disability, morbidity, and mortality. The challenge of treating nonunion fractures is further complicated in patients with underlying bone disorders where systemic and local factors impair bone healing. Traditional treatment approaches, including autografts, allografts, xenografts, and synthetic biomaterials, face limitations such as donor site pain, immune rejection, and insufficient mechanical

View details →DOI: 10.1038/s41413-025-00487-0Cited by 11
Negative / Null Result ReportOpen accessMedicine

Web-Based AI-Driven Virtual Patient Simulator Versus Actor-Based Simulation for Teaching Consultation Skills: Multicenter Randomized Crossover Study

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

A Smartphone App Self-Management Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial of Clinical Outcomes

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 accessAgricultural and Biological Sciences

Branched-Chain Amino Acids in Parkinson’s Disease: Molecular Mechanisms and Therapeutic Potential

Hui-Yu Huang, Shu‐Ping Tsao, Tu‐Hsueh Yeh · 2025 · International Journal of Molecular Sciences

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the selective loss of dopaminergic neurons in the substantia nigra, resulting in motor symptoms such as bradykinesia, tremor, rigidity, and postural instability, as well as a wide variety of non-motor manifestations. Branched-chain amino acids (BCAAs)-leucine, isoleucine, and valine-are essential nutrients involved in neurotransmitter synthesis, energy metabolism, and cellular signaling. Emerging evidence suggests that BCAA metabolism is intricately linked to the pathophysiology of PD. Dysregulation of BCAA l

View details →DOI: 10.3390/ijms26146992Cited by 11
Negative / Null Result ReportOpen accessBusiness, Management and Accounting

Proud to Not Own Stocks: How Identity Shapes Financial Decisions

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

Stochastic vibration analysis of aircraft-rigid pavement system under random aircraft parameters

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 accessEconomics, Econometrics and Finance

Government spending and economic growth dynamics in Somalia: time series evidence from ARDL bounds testing

Bile Abdisalan Nor, Yusniliyana Yusof · 2025 · Discover Sustainability

Abstract Somalia’s economy has faced persistent instability due to shocks from COVID-19, climate-related disasters, and conflict, resulting in stagnant GDP growth (averaging 2% from 2019 to 2023) and declining real GDP per capita (− 0.8% annually). Despite government expenditure rising to 9% of GDP in 2021, its efficiency in driving growth remains uncertain, raising critical questions about fiscal policy effectiveness in fragile states. We aim to investigate the relationship between government expenditure and GDP growth in Somalia from 1991 to 2021 using the ARDL estimation technique. The resu

View details →DOI: 10.1007/s43621-025-01471-8Cited by 11
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Integrating single-cell RNA-seq datasets with substantial batch effects

Karin Hrovatin, Amir Ali Moinfar, Luke Zappia et al. · 2025 · BMC Genomics

Integration of single-cell RNA-sequencing (scRNA-seq) datasets is standard in scRNA-seq analysis. Nevertheless, current computational methods struggle to harmonize datasets across systems such as species, organoids and primary tissue, or different scRNA-seq protocols, including single-cell and single-nuclei. Conditional variational autoencoders (cVAE) are a popular integration method, however, existing strategies for stronger batch correction have limitations. Increasing the Kullback-Leibler divergence regularization does not improve integration and adversarial learning removes biological sign

View details →DOI: 10.1186/s12864-025-12126-3Cited by 11
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Host factors dictate gut microbiome alterations in chronic kidney disease more strongly than kidney function

Hubert Krukowski, Sophie Valkenburg, A. Vich Vila et al. · 2026 · Nature Microbiology

Despite recent progress, microbial associations reported in chronic kidney disease (CKD) remain inconsistent. Here we combined quantitative faecal metagenomics (n = 130) and cross-study biomarker comparisons (ntotal = 4,420) to study…

View details →DOI: 10.1038/s41564-026-02259-wCited by 11
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Exploring meat analogs: A review of alternative proteins with a focus on food safety and regulatory challenges

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

Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistance

Ryan H. Boe, Catherine G. Triandafillou, Rossana Lazcano et al. · 2026 · Genome biology

Abstract Resistance to cancer therapy is driven by both cell-intrinsic and microenvironmental factors. We use spatial transcriptomics and single-cell RNA sequencing to uncover distinct resistance programs in melanoma cells shaped by intrinsic cellular states and the tumor microenvironment. Consensus non-negative matrix factorization reveals shared intrinsic resistance programs across cell lines. In patient samples, these resistance programs coexist within individual tumors and associate with diverse immune signatures. Single-cell resolution spatial transcriptomics in xenograft models reveals b

View details →DOI: 10.1186/s13059-026-04112-zCited by 11
Negative / Null Result ReportOpen accessEnvironmental Science

How well do process-based and data-driven hydrological models learn from limited discharge data?

Maria Staudinger, Anna Herzog, Ralf Loritz et al. · 2025 · Hydrology and earth system sciences

Abstract. It is widely assumed that data-driven models achieve good results only with sufficiently large training data, whereas process-based models are usually expected to be superior in data-poor situations. To investigate this, we calibrated several process-based and data-driven hydrological models using training datasets of observed discharge that differed in terms of both the number of data points and the type of data selection, allowing us to make a systematic comparison of the learning behaviour of the different model types. Four data-driven models (conditional probability distributions

View details →DOI: 10.5194/hess-29-5005-2025Cited by 11
Negative / Null Result ReportOpen accessMedicine

Association of the C-reactive protein–triglyceride–glucose index with metabolic dysfunction-associated steatotic liver disease and long-term all-cause and cardiovascular mortality: evidence from two nationwide prospective cohort studies

Xuefeng Jin, Zhaojie Su, Jian-Fa Zhong et al. · 2026 · Cardiovascular Diabetology

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely linked to cardiometabolic disorders, and cardiovascular disease is the leading cause of death among affected individuals. Identifying simple biomarkers…

View details →DOI: 10.1186/s12933-026-03119-xCited by 11
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Minimal residual disease in solid tumors: Clinical applications and future directions

Theresa Abdo, Ahmad Alhalabi, Sacha Yaghi et al. · 2026 · Cancer

Minimal residual disease (MRD) refers to the presence of residual cancer cells or tumor-derived fragments that persist after treatment and remain undetectable by conventional imaging or protein-based assays. Circulating tumor DNA (ctDNA)…

View details →DOI: 10.1002/cncr.70286Cited by 11
Negative / Null Result ReportOpen accessMedicine

Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model

Andrew Wong, Danielle Currey, Megan Schwinne et al. · 2026 · JAMA Network Open

Importance: The Epic Sepsis Model version 2 (ESM v2) is a widely implemented proprietary sepsis prediction model, but no multicenter, external validation of its performance has been reported to guide adoption and use. Objective: To conduct a multicenter validation of the ESM v2 to compare performance against the original ESM v1, outline differences across heterogenous clinical sites, and compare model performance against clinician recognition of sepsis. Design, Setting, and Participants: This prognostic study included adult inpatient encounters at 4 large US health systems between August 31, 2

View details →DOI: 10.1001/jamanetworkopen.2026.0181Cited by 11
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Gut microbial metabolites in inflammatory bowel disease: immunological mechanisms regulating Treg/Th17 balance and therapeutic potential

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

Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence

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

Encapsulation in Food Systems: From Technique‐Driven Approaches to Functional, Scalable, and Sustainable Industrial Applications

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

Impact of air pollution on life expectancy in Asian developing countries: Does renewable energy adoption matter?

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
Replication FailureOpen accessMedicine

The microRNA inhibitor CDR132L in patients with reduced left ventricular ejection fraction after myocardial infarction: a randomized phase 2 trial

Johann Bauersachs, Scott D. Solomon, Stefan D. Anker et al. · 2026 · Nature Medicine

Abstract MicroRNA-132 (miR-132) is a central regulator of adverse cardiac remodeling. Here we evaluated CDR132L, a synthetic antisense oligonucleotide miR-132 inhibitor, in a multinational, randomized, double-blind, placebo-controlled phase 2 trial (HF-REVERT) in patients with recent myocardial infarction (MI) and left ventricular (LV) systolic dysfunction. Within 3–14 days after MI, 294 patients were randomized to receive CDR132L 5 mg kg −1 , CDR132L 10 mg kg −1 or placebo as three intravenous doses at 4-week intervals plus guideline-directed therapy. In total, 280 patients (245 men and 35 wo

View details →DOI: 10.1038/s41591-026-04408-4Cited by 11
Negative / Null Result ReportPsychology

The Role of Digital Transformation and English Language Technological Self‐Efficacy in the Era of Artificial Intelligence

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

Free Movement of Inventors: Open-Border Policy and Innovation in Switzerland

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

Perihelion Asymmetry in the Water Production Rate of the Interstellar Object 3I/ATLAS

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

Alcohol, Smoking, and Their Synergy as Risk Factors for Incident Type 2 Diabetes

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

Emergency Department–Initiated Buprenorphine for Opioid Use Disorder

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

Think First, ChatGPT Later: Guiding Human–AI Collaboration for Learning Gains in Independent Human Creativity

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