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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.

20211 results in Negative / Null Result Report · page 126 of 674

Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Artificial Intelligence for Exosomal Biomarker Discovery for Cardiovascular Diseases: Multi-Omics Integration, Reproducibility, and Translational Prospects

Rasit Dinc, Nurittin Ardıç · 2026 · Cells

Exosomes and other extracellular vesicles (EVs) carry microRNAs, proteins, and lipids that reflect cardiovascular pathophysiology and can enable minimally invasive biomarker discovery. However, EV datasets are highly dimensional and heterogeneous, strongly influenced by pre-analytic variables and non-standardized isolation/characterization workflows, limiting reproducibility across studies. Artificial intelligence (AI), including machine learning (ML), deep learning (DL), and network-based approaches, can support EV biomarker development by integrating multi-omics profiles with clinical metada

View details →DOI: 10.3390/cells15030304Cited by 14
Negative / Null Result ReportOpen accessMathematics

Selecting the number of components in PCA via random signflips

David Hong, Yue Sheng, Edgar Dobriban · 2026 · Journal of the American Statistical Association

Principal component analysis (PCA) is a foundational tool in modern data analysis, and a crucial step in PCA is selecting the number of components to keep. However, classical selection methods (e.g., scree plots, parallel analysis, etc.)…

View details →DOI: 10.1080/01621459.2026.2719861Cited by 14
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Invited Review: Inflammation and Health in the Transition Period Influence Reproductive Function in Dairy Cows

T.C. Bruinjé, S.J. LeBlanc · 2025 · Animals

In the early postpartum period, dairy cows undergo significant adaptations in Ca and lipid metabolism, immune function, and inflammatory processes. Concurrent exposure to endotoxins from the uterus, gastrointestinal tract, or mammary gland increases the risk of disease and reproductive problems. Metabolic and inflammatory imbalances during this phase can have both immediate and long-term effects on reproductive health. Associations between metabolic disorders and reproductive outcomes are often confounded by immune activation and systemic inflammation. However, optimal markers, thresholds, and

View details →DOI: 10.3390/ani15050633Cited by 14
Negative / Null Result ReportOpen accessNeuroscience

Electrophysiological indices of hierarchical speech processing differentially reflect the comprehension of speech in noise

Shyanthony R. Synigal, Andrew J. Anderson, Edmund C. Lalor · 2026 · eNeuro

ABSTRACT The past few years have seen an increase in the use of encoding models to explain neural responses to natural speech. The goal of these models is to characterize how the human brain converts acoustic energy into distinct linguistic representations that enable everyday speech comprehension. For example, researchers have shown that electroencephalography (EEG) data can be modeled in terms of acoustic features of speech, such as its amplitude envelope or spectrogram, linguistic features such as phonemes and phoneme probability, and higher-level linguistic features like context-based word

View details →DOI: 10.1523/eneuro.0069-26.2026Cited by 14
Negative / Null Result ReportOpen accessComputer Science

No ordered arguments needed for nouns

Scott Grimm, Louise McNally · 2026 · Proceedings of the Amsterdam Colloquium

Syntacticians have widely assumed since [11] that there is a fundamental difference between so-called argument structure nominals (AS-nominals, also called Complex Event Nominals), e.g. destruction, and non-AS-nominals, e.g. book ([1, 5], i.a.). Grimshaw provided a list of properties characterizing AS-nominals, most notably that they have obligatory arguments (e.g. the destruction *(of Carthage) by the Romans). She and others have associated having argument structure with having event structure, but it has never been clear what having or lacking such structures amounts to semantically. In this

View details →DOI: 10.53437/c73d2139Cited by 14
Negative / Null Result ReportOpen accessMedicine

Therapeutic Potential of Calcium Channel Blockers in Neuropsychiatric, Endocrine and Pain Disorders

Aarish Manzar, Aleksandar Sič, Crystal E. Banh et al. · 2025 · Cells

Calcium channel blockers (CCBs), originally developed for cardiovascular indications, have gained attention for their therapeutic potential in neuropsychiatric, endocrine, and pain-related disorders. In neuropsychiatry, nimodipine and isradipine, both L-type CCBs, show mood-stabilizing and neuroprotective effects, with possible benefits in depression, bipolar disorder, and schizophrenia. In endocrinology, verapamil, a non-dihydropyridine L-type blocker, has been associated with the preservation of pancreatic β-cell function and reduced insulin dependence in diabetes. CCBs may also aid in manag

View details →DOI: 10.3390/cells14141114Cited by 14
Negative / Null Result ReportOpen accessImmunology and Microbiology

The effects of exercise on complement system proteins in humans: a systematic scoping review

Daniela Rothschild-Rodriguez, John P. Campbell, Frankie Brown et al. · 2026 · PubMed

BACKGROUND: The complement system is comprised of the classical, lectin and alternative pathways that result in the formation of: pro-inflammatory anaphylatoxins; opsonins that label cells for phagocytic removal; and, a membrane attack…

View details →DOI: 10.22029/eir.2022.1750Cited by 14
Negative / Null Result ReportOpen accessMedicine

Physical activity for public health in the 21st century

Deborah Salvo, Inácio Crochemore-Silva, Andrea Wendt et al. · 2026 · Nature Medicine

With over 5 million attributed deaths per year, physical inactivity is a major global public health issue. Although the importance of physical activity is well recognized within the scope of obesity and cardiometabolic disease prevention…

View details →DOI: 10.1038/s41591-026-04237-5Cited by 14
Negative / Null Result ReportOpen accessPsychology

LLM-powered socially assistive robot-delivered cognitive behavioral therapy exercises: an exploratory study with university students

Mina Kian, Mingyu Zong, Katrin Fischer et al. · 2026 · Frontiers in Robotics and AI

Mental health is a significant healthcare challenge, and cognitive behavioral therapy (CBT) is a widely used therapeutic method for treating anxiety and depression. However, traditional CBT often requires access to trained clinicians and can be cost-prohibitive or logistically difficult for many individuals. To address these barriers, we developed a low-cost socially assistive robot (SAR) that uses a large language model (LLM) to guide the user through interactive at-home CBT exercises. In this exploratory study, 38 university students completed CBT exercises across a 15-day period using one o

View details →DOI: 10.3389/frobt.2026.1802622Cited by 14
Negative / Null Result ReportOpen accessMedicine

Glucagon-like peptide-1 receptor agonists and risk of substance use disorders among US veterans with type 2 diabetes: cohort study

Miao Cai, Taeyoung Choi, Yan Xie et al. · 2026 · BMJ

OBJECTIVES: To investigate whether initiation of glucagon-like peptide-1 (GLP-1) receptor agonists is associated with both reduced risks of incident alcohol, cannabis, cocaine, nicotine, opioid, and other substance use disorders (SUDs) in…

View details →DOI: 10.1136/bmj-2025-086886Cited by 14
Negative / Null Result ReportOpen accessEarth and Planetary Sciences

Revising the Giant Planet Mass–Metallicity Relation: Deciphering the Formation Sequence of Giant Planets

Yayaati Chachan, Jonathan J. Fortney, Kazumasa Ohno et al. · 2025 · The Astrophysical Journal

Abstract The rate at which giant planets accumulate solids and gas is a critical component of planet formation models, yet it is extremely challenging to predict from first principles. Characterizing the heavy element (everything other than hydrogen and helium) content of giant planets provides important clues about their provenance. Using thermal evolution models with an updated H–He equation of state and atmospheric boundary conditions that vary with envelope metallicity, we quantify the bulk heavy element content of 147 warm (<1000 K) giant planets with well-measured masses and radii, mo

View details →DOI: 10.3847/1538-4357/ae0cbfCited by 14
Negative / Null Result ReportOpen accessArts and Humanities

Unique Motivations of the Underserved: Exploring Repertoire, Self-Identified, and Topical News Avoidance Among Black Adults

Miya Williams Fayne, Stephanie Edgerly · 2025 · Mass Communication & Society

This study examines three forms of news avoidance (repertoire, self-identified, and topical) among Black Americans and the overlap between the different forms. We center African Americans, who are often ignored or stereotyped by mainstream…

View details →DOI: 10.1080/15205436.2025.2578807Cited by 14
Negative / Null Result ReportOpen accessDecision Sciences

Artificial intelligence, data elements, digital economy, and corporate innovation performance

Yuan Ma, Wenchao Zhang, Chengxiang Ma et al. · 2025 · International Review of Economics & Finance

In an era defined by digital transformation, artificial intelligence (AI) has emerged as a critical driver of corporate competitiveness, yet the mechanisms through which it enhances innovation remain a key area of inquiry. This study…

View details →DOI: 10.1016/j.iref.2025.104560Cited by 14
Negative / Null Result ReportOpen accessMedicine

Safety and efficacy of valoctocogene roxaparvovec with prophylactic glucocorticoids: 1-year results from the phase 3b, single-arm, open-label GENEr8-3 study

Margareth C. Ozelo, Jane Mason, Amy L. Dunn et al. · 2025 · Journal of Thrombosis and Haemostasis

BACKGROUND: Valoctocogene roxaparvovec, an adeno-associated virus vector that transfers a human factor (F)VIII (FVIII) coding sequence to hepatocytes, provides bleeding protection for people with severe hemophilia A. OBJECTIVES: Determine…

View details →DOI: 10.1016/j.jtha.2024.12.038Cited by 14
Negative / Null Result ReportOpen accessPhysics and Astronomy

Hitting the slopes: a spectroscopic view of UV continuum slopes of galaxies reveals a reddening at z > 9.5

Aayush Saxena, Alex J. Cameron, Harley Katz et al. · 2026 · Monthly Notices of the Royal Astronomical Society

ABSTRACT The ultraviolet (UV) continuum slope of galaxies, $\beta$, is a powerful diagnostic of the metallicity and ages of stars, nebular gas properties, dust content, and the escape of Lyman continuum (LyC) photons. In this study, we present $\beta$ measurements for 395 spectroscopically confirmed galaxies at $5 \lt z \lt 14.3$ selected primarily from JADES, using high-quality JWST (James Webb Space Telescope) NIRSpec/PRISM spectra. We find a median $\beta = -2.15$, finding a mild increase in blueness of $\beta$ with increasing redshift and fainter UV magnitudes. Interestingly, we find evide

View details →DOI: 10.1093/mnras/stag808Cited by 14
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Effects of adding an automated monitoring device to the health screening of postpartum Holstein cows on survival and productive and reproductive performances

Manuel A. Silva, Anderson Veronese, Anna Luiza Belli et al. · 2021 · Journal of Dairy Science

kg) than cows diagnosed with a clinical disease that had an AMD alert. Adding AMD-generated health alerts to the health screening of postpartum cows in a herd with an existing screening program did not improve survival, milk yield, or…

View details →DOI: 10.3168/jds.2020-18562Cited by 14
Negative / Null Result ReportOpen accessNeuroscience

The role of plasma inflammatory markers in late-life depression and conversion to dementia: a 3-year follow-up study

Mariia Bocharova, Tom Borza, Leiv Otto Watne et al. · 2025 · Molecular Psychiatry

Late-life depression (LLD) has been linked to increased likelihood of dementia, although mechanisms responsible for this association remain largely unknown. One feature frequently observed in both LLD and dementia is elevated levels of plasma inflammatory markers. The present study aimed to compare the levels of 12 plasma inflammatory markers between older people with LLD and controls, and to explore whether these markers, along with clinical characteristics, can predict dementia in patients with LLD within 3 years of follow-up. Using multiple linear regression with stepwise adjustment, we com

View details →DOI: 10.1038/s41380-025-02908-2Cited by 14
Negative / Null Result ReportOpen accessSocial Sciences

Who Gains from creative destruction? Evidence from high-quality entrepreneurship in the United States

Astrid Marinoni, John L. Voorheis · 2026 · Research Policy

The question of who gains from high-quality entrepreneurship is crucial to understanding whether investments in innovative startup firms produce socially beneficial outcomes. Although entrepreneurship is widely viewed as a central driver…

View details →DOI: 10.1016/j.respol.2026.105642Cited by 14
Negative / Null Result ReportOpen accessBusiness, Management and Accounting

Measuring Self-Preferencing on Digital Platforms

Lukas Jürgensmeier, Bernd Skiera · 2025 · Journal of Marketing

Digital platforms facilitate exchanges between platform actors, such as trading between buyers and sellers. However, providers of digital platforms also compete with other actors, referred to as third parties, on their own platforms. In such settings, self-preferencing can occur if the platform treats its own offerings better than comparable third-party offerings—a practice often deemed inappropriate. However, detecting self-preferencing is challenging. This article addresses this challenge conceptually and empirically by putting forward a conceptual framework that defines self-preferencing an

View details →DOI: 10.1177/00222429251360772Cited by 13
Negative / Null Result ReportOpen accessNeuroscience

A single dorsal vagal complex circuit mediates the aversive and anorectic responses to GLP1R agonists

Warren T. Yacawych, Yi Wang, Guoxiang Zhou et al. · 2026 · Journal of Clinical Investigation

GLP-1 receptor agonists (GLP1RAs) effectively reduce feeding to treat obesity, although nausea and other aversive side effects of these drugs can limit their use. Brainstem circuits that promote satiation and mediate the physiological control of body weight can be distinguished from those that cause aversion. It remains unclear whether brainstem Glp1r neurons contribute to the normal regulation of energy balance and whether GLP1RAs control appetite via circuits distinct from those that mediate aversive responses, however. Here, we silenced Glp1r neurons in the nucleus of the solitary tract or

View details →DOI: 10.1172/jci193743Cited by 13
Negative / Null Result ReportOpen accessMedicine

Doxycycline Use in Adolescent Psychiatric Patients and Risk of Schizophrenia: An Emulated Target Trial

Ulla Lång, Johanna Metsälä, Hugh Ramsay et al. · 2025 · American Journal of Psychiatry

OBJECTIVE: As many as half of individuals who develop psychosis had attended child and adolescent psychiatric services at some stage in childhood, highlighting substantial opportunities for prevention within these services if an effective preventive intervention were identified. The authors hypothesized that adolescent psychiatric patients exposed to doxycycline, an antibiotic with putative neuroprotective properties, would have a lower risk of developing schizophrenia. METHODS: This was an emulated target trial using nationwide Finnish health register data on all individuals born between 1987

View details →DOI: 10.1176/appi.ajp.20240958Cited by 13
Negative / Null Result ReportOpen accessMathematics

Faster Hamiltonian Monte Carlo by learning leapfrog scale: an offline randomized solution

Changye Wu, Pierre Pudlo, Christian P. Robert et al. · 2026 · Statistics and Computing

stands for empirical, leverages importance sampling to construct an empirical distribution on discretization parameters, thereby eliminating the need for manual burn-in diagnostics and online adaptation. The proposal distribution used in the calibration stage is obtained via a Population Monte Carlo scheme with tempering and relies on flexible parametric variational families such as normalizing flows. Once the calibration stage complete, the resulting algorithm defines a homogeneous Markov chain via a mixture of HMC kernels with a fixed mixing distribution, and hence preserves the target distr

View details →DOI: 10.1007/s11222-026-10972-zCited by 13
Negative / Null Result ReportOpen accessMedicine

Macrophage metabolic reprogramming by vanadium released from glucose-responsive bio-gel accelerates diabetic wound repair

Jiangfeng Li, Zheng Li, 韩丽黎 et al. · 2026 · Signal Transduction and Targeted Therapy

Dysregulated glucose metabolism in diabetic wound macrophages impairs polarization toward the reparative M2 phenotype, leading to compromised innate immunity, chronic inflammation, and delayed wound healing. However, effective strategies…

View details →DOI: 10.1038/s41392-026-02647-yCited by 13
Negative / Null Result ReportOpen accessMaterials Science

AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale

Dylan M. Anstine, Qiyuan Zhao, R.I. Zubatyuk et al. · 2026 · Science Advances

Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for prediction of reaction outcomes before attempting experiments. Despite progress in machine-learned interatomic…

View details →DOI: 10.1126/sciadv.aea1557Cited by 13
Negative / Null Result ReportOpen accessEnvironmental Science

A Breath of Fresh Air: A Novel Passive Airborne eDNA Approach for Scalable Terrestrial Biodiversity Monitoring

Hugo Jager, Krijn Baptist Trimbos, Jan‐Maarten Luursema et al. · 2026 · Ecology and Evolution

Terrestrial biodiversity's rapid decline demands expansion of high-resolution biomonitoring to support science-based policy. Environmental DNA (eDNA) analysis has proven effective in aquatic systems but remains underexplored for terrestrial habitats, partly due to point-source sampling bias and difficulty in upscaling. Air has emerged as a promising substrate, yet most studies use active samplers which tend to be expensive, bulky, and require power, potentially hindering broad deployment. We present a newly developed, inexpensive, reusable, and easy-to-use passive approach (Nutshell eDNA sampl

View details →DOI: 10.1002/ece3.73346Cited by 13
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

CRISPR–Cas technologies in neurodegenerative disorders: mechanistic insights, therapeutic potential, and translational challenges

Raya Kh. Yashooa, Ari Q. Nabi, Shukur Wasman Smail et al. · 2026 · Frontiers in Neurology

CRISPR-Cas genome-editing technologies have emerged as powerful tools for precise DNA and RNA modulation, offering promising therapeutic strategies for neurodegenerative disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS). This review critically evaluates current CRISPR/Cas applications in neurodegeneration, with emphasis on mechanistic insights, therapeutic outcomes, and translational feasibility. Preclinical and early translational studies demonstrate that CRISPR-Cas platforms can correct pathogenic mutation

View details →DOI: 10.3389/fneur.2025.1737468Cited by 13
Negative / Null Result ReportOpen accessNeuroscience

Retrograde Interference in Perceptual Learning of a Peripheral Hyperacuity Task

Shao-Chin Hung, Aaron R. Seitz · 2011 · PLoS ONE

Consolidation, a process that stabilizes memory trace after initial acquisition, has been studied for over a century. A number of studies have shown that a skill or memory must be consolidated after acquisition so that it becomes resistant to interference from new information. Previous research found that training on a peripheral 3-dot hyperacuity task could retrogradely interfere with earlier training on the same task but with a mirrored stimulus configuration. However, a recent study failed to replicate this finding. Here we address the controversy by replicating both patterns of results, ho

View details →DOI: 10.1371/journal.pone.0024556Cited by 13
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Population Levels Assessment of the Distribution of Disease-Associated Variants With Emphasis on Armenians – A Machine Learning Approach

Maria Nikogհosyan, Siras Hakobyan, Anahit Hovhannisyan et al. · 2019 · Frontiers in Genetics

Background: During last decades a number of genome-wide association studies (GWAS) has identified numerous single nucleotide polymorphisms (SNPs) associated with different complex diseases. However, associations reported in one population are often conflicting and did not replicate when studied in other populations. One of the reasons could be that most of GWAS employ case-control design in one or a limited number of populations, but little attention was paid to global distribution of disease associated alleles across different populations. Moreover, the majority of GWAS have been performed on

View details →DOI: 10.3389/fgene.2019.00394Cited by 13
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Identifying statistically significant combinatorial markers for survival analysis

Raissa Relator, Aika Terada, Jun Sese · 2018 · BMC Medical Genomics

BACKGROUND: Survival analysis methods have been widely applied in different areas of health and medicine, spanning over varying events of interest and target diseases. They can be utilized to provide relationships between the survival time of individuals and factors of interest, rendering them useful in searching for biomarkers in diseases such as cancer. However, some disease progression can be very unpredictable because the conventional approaches have failed to consider multiple-marker interactions. An exponential increase in the number of candidate markers requires large correction factor

View details →DOI: 10.1186/s12920-018-0346-xCited by 13
Negative / Null Result ReportOpen accessMedicine

Anatomic Risk Factors for Initial and Secondary Noncontact Anterior Cruciate Ligament Injury: A Prospective Cohort Study in 880 Female Elite Handball and Soccer Players

Yusuke Kamatsuki, Marie Synnøve Qvale, Kathrin Steffen et al. · 2024 · The American Journal of Sports Medicine

Background: Anterior cruciate ligament (ACL) injury is one of the most severe injuries for athletes. It is important to identify risk factors because a better understanding of injury causation can help inform athletes about risk and increase their understanding of and motivation for injury prevention. Purpose: To investigate the relationship between anatomic factors and risk for future noncontact ACL injuries. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 870, excluding 9 players with a new contact ACL injury and a player with a new noncontact ACL injury just before the

View details →DOI: 10.1177/03635465241292755Cited by 13