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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.

21697 results · page 128 of 724

Negative / Null Result ReportOpen accessBusiness, Management and Accounting

Impact of Acquisitions on the Financial Performance of the Acquiring Companies in Kenya: A Case Study of Listed Acquiring Firms at the Nairobi Securities Exchange

George Gitonga Inoti · 2014 · Journal of Finance and Accounting

This study sought to determine whether acquisitions enhance corporate financial performance. The general objective of the study was to assess the effects of acquisitions on the financial performance of the acquiring companies in Kenya. The…

View details →DOI: 10.11648/j.jfa.20140205.12Cited by 15
Negative / Null Result ReportOpen accessSocial Sciences

Testing the status‐legitimacy hypothesis: Predicting system justification using objective and subjective socioeconomic status in China and the United States

Evan A. Valdes, James H. Liu, Matt N Williams · 2022 · Asian Journal Of Social Psychology

The status‐legitimacy hypothesis proposes that those who are most disadvantaged by unequal social systems are even more likely than members of more advantaged groups to provide ideological support for the very social system that is responsible for their disadvantages. Li, Yang, Wu, and Kou (2020, Personality and Social Psychology Bulletin ) sought to expand the generalizability of this hypothesis by testing it in China, addressing inconsistencies surrounding the empirical support for this hypothesis by postulating that the construct of status should be separated into an objective and subjectiv

View details →DOI: 10.1111/ajsp.12555Cited by 15
Negative / Null Result ReportMedicine

Replication of a predictive model for youth ADHD in an independent sample from a developing country

Cezar H. Lorenzi, Douglas Teixeira Leffa, Rodrigo A. Bressan et al. · 2022 · Journal of Child Psychology and Psychiatry

BACKGROUND: Very few predictive models in Psychiatry had their performance validated in independent external samples. A previously developed multivariable demographic model for attention-deficit/hyperactivity disorder (ADHD) accurately…

View details →DOI: 10.1111/jcpp.13682Cited by 15
Negative / Null Result ReportOpen accessNeuroscience

Phosphatidylinositol 4,5-bisphosphate drives the formation of EGFR and EphA2 complexes

Pradeep Kumar Singh, Jennifer A. Rybak, Ryan J Schuck et al. · 2024 · Science Advances

Receptor tyrosine kinases (RTKs) regulate many cellular functions and are important targets in pharmaceutical development, particularly in cancer treatment. EGFR and EphA2 are two key RTKs that are associated with oncogenic phenotypes.…

View details →DOI: 10.1126/sciadv.adl0649Cited by 15
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species

Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş et al. · 2025 · Biology

This study presents a novel approach for classifying Discomycetes species using deep learning and explainable artificial intelligence (XAI) techniques. The EfficientNet-B0 model achieved the highest performance, reaching 97% accuracy, a 97% F1-score, and a 99% AUC, making it the most effective model. MobileNetV3-L followed closely, with 96% accuracy, a 96% F1-score, and a 99% AUC, while ShuffleNet also showed strong results, reaching 95% accuracy and a 95% F1-score. In contrast, the EfficientNet-B4 model exhibited lower performance, achieving 89% accuracy, an 89% F1-score, and a 93% AUC. These

View details →DOI: 10.3390/biology14060719Cited by 15
Negative / Null Result ReportOpen accessPhysics and Astronomy

JADES and BlackTHUNDER: rest-frame Balmer-line absorption and the local environment in a Little Red Dot at z = 5

Francesco D’Eugenio, Ignas Juodžbalis, Xihan Ji et al. · 2025 · Monthly Notices of the Royal Astronomical Society

ABSTRACT We present a ‘Little Red Dot’ (LRD) broad-line active galactic nucleus (AGN) at $z=5.077 $, observed with NIRSpec/MSA (micro-shutter assembly) and NIRSpec/IFU (integral-field unit) by the JADES (JWST Advanced Deep Extragalactic Survey) and BlackTHUNDER (Black holes in THe early Universe aNd their DensE surRoundings) surveys. Combining spatially resolved and high-resolution spectroscopy, we characterize its central engine, host, and environment. H$\alpha $ has multiple components, including two broad Gaussians, yielding a black-hole mass $\log (M_{\bullet }/{\rm M}_\odot) = 7.65 $, whi

View details →DOI: 10.1093/mnras/staf2117Cited by 15
Negative / Null Result ReportOpen accessEngineering

Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data

Denis A. Zadkov, Nikita MARTYUSHEV, Boris V. Malozyomov et al. · 2026 · Mathematics

In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed. The analyzed dataset includes 259 observations collected over a five-year period for six critical components, with the overall level of censoring reaching 62% and exceeding 70% for long life mechanical subsystems. Considering right, left, and interval censoring, the paper proposes a unified statistical procedure that combines empirical estimation of failure rates with parametric identification using Weibull

View details →DOI: 10.3390/math14040716Cited by 15
Negative / Null Result ReportOpen accessMedicine

Feasibility of two levels of protein intake in patients with colorectal cancer: findings from the Protein Recommendation to Increase Muscle (PRIMe) randomized controlled pilot trial

Katherine L. Ford, Michael B. Sawyer, Sunita Ghosh et al. · 2024 · ESMO Open

•Patients were able to increase and sustain dietary protein intake from preintervention levels.•Over one-half of patients in the 2.0 g/kg/day group maintained or gained MM with a 12-week targeted nutrition intervention.•This work…

View details →DOI: 10.1016/j.esmoop.2024.103604Cited by 15
Negative / Null Result ReportOpen accessHealth Professions

Social inclusion of people with severe mental illness: a review of current practices, evidence and unmet needs, and future directions

Claire Henderson, Yasuhiro Kotera, Brynmor Lloyd‐Evans et al. · 2026 · World Psychiatry

Social inclusion means being able to participate in activities valued within one's community or wider society as one would wish. People with severe mental illness (i.e., psychoses, bipolar disorder, and severe depression) experience some…

View details →DOI: 10.1002/wps.70031Cited by 15
Negative / Null Result ReportOpen accessMedicine

Efficacy, public health impact and optimal use of the Takeda dengue vaccine

Bethan Cracknell Daniels, Neil M. Ferguson, Ilaria Dorigatti · 2025 · Nature Medicine

Dengue is the most common arboviral infection, causing substantial morbidity and mortality globally. The licensing of Qdenga, a second-generation vaccine developed by Takeda Pharmaceuticals, is therefore timely, but the potential public health impact of vaccination across transmission settings needs to be evaluated. To address this, we characterized Qdenga's efficacy profile using mathematical models calibrated to published clinical trial data and estimated the public health impact of routine vaccine use. We find that efficacy against both virologically confirmed dengue and hospitalization dep

View details →DOI: 10.1038/s41591-025-03771-yCited by 15
Negative / Null Result ReportOpen accessNeuroscience

Wearable EEG-Based Brain–Computer Interface for Stress Monitoring

Brian Premchand, Liyuan Liang, Kok Soon Phua et al. · 2024 · NeuroSci

Detecting stress is important for improving human health and potential, because moderate levels of stress may motivate people towards better performance at cognitive tasks, while chronic stress exposure causes impaired performance and health risks. We propose a Brain-Computer Interface (BCI) system to detect stress in the context of high-pressure work environments. The BCI system includes an electroencephalogram (EEG) headband with dry electrodes and an electrocardiogram (ECG) chest belt. We collected EEG and ECG data from 40 participants during two stressful cognitive tasks: the Cognitive Vig

View details →DOI: 10.3390/neurosci5040031Cited by 15
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

The gut-lung axis: effects and mechanisms of gut microbiota on pulmonary diseases

Jiayi Liu, Weichen Hong, Zhendong Sun et al. · 2026 · Frontiers in Immunology

The proposal of the gut-lung axis has profoundly reshaped our understanding of the mechanisms underlying respiratory diseases. As a crucial component of this axis, the gut microbiota plays a central role in pulmonary immune regulation through inter-organ communication mediated by metabolic products. However, a systematic integration of mechanisms explaining how gut microbes achieve precise cross-organ immune regulation remains elusive. Existing research predominantly focuses on descriptive observations, such as the association between early-life microbiota dysbiosis and an increased risk of as

View details →DOI: 10.3389/fimmu.2025.1693964Cited by 15
Negative / Null Result ReportOpen accessMedicine

Cancer cachexia: molecular basis and therapeutic advances

Yuting Tan, Rui Xue, Yuwei Pan et al. · 2026 · Signal Transduction and Targeted Therapy

The dynamic interplay between neoplastic cells and the host has been increasingly recognized as important players in the pathogenesis of cancer cachexia, a syndrome affecting ~50-80% of cancer patients with various incidences of different types of malignancies. Despite its prevalence, a comprehensive understanding of cancer cachexia progression, with a holistic view at the cross-organismal, cellular and molecular levels, remains elusive. In this review, we undertake an in-depth exploration of the relevant target organs and their regulatory roles in cancer cachexia, with a particular focus on m

View details →DOI: 10.1038/s41392-025-02331-7Cited by 15
Negative / Null Result ReportOpen accessHealth Professions

Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence–Powered Scribes

Lisa S. Rotenstein, A. Jay Holmgren, Robert Thombley et al. · 2026 · JAMA

Importance: Artificial intelligence (AI)-enabled scribes have been proposed to reduce electronic health record (EHR) burden and improve clinician satisfaction. There is limited evidence about their associated results across multiple sites…

View details →DOI: 10.1001/jama.2026.2253Cited by 15
Negative / Null Result ReportOpen accessMedicine

Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI dynamic causal modeling study

Liangsuo Ma, Larry Keen, Joel L. Steinberg et al. · 2024 · NeuroImage

• Resting- state fMRI data were acquired from 34 healthy participants. • Effective connectivities (ECs) associated with HRV and heart rate were investigated. • Regression DCM and ICA were used to identify most relevant network nodes. • ECs…

View details →DOI: 10.1016/j.neuroimage.2024.120869Cited by 15
Negative / Null Result ReportOpen accessEnvironmental Science

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data

Chris Kent, Adam A. Scaife, Nick Dunstone et al. · 2025 · npj Climate and Atmospheric Science

Abstract Machine learning weather models trained on observed atmospheric conditions can outperform conventional physics-based models at short- to medium-range (1–14 day) forecast timescales. Here we take the machine learning model ACE2, trained to predict 6-hourly steps in atmospheric evolution and which can remain stable over long forecast periods, and assess it from a seasonal forecasting perspective (1–3 month lead time). Applying persisted sea surface temperature (SST) and sea-ice anomalies centred on 1 st November each year, we initialise a lagged ensemble of seasonal predictions covering

View details →DOI: 10.1038/s41612-025-01198-3Cited by 15
Negative / Null Result ReportOpen accessNursing

Limited evidence for anatomical contacts between intestinal GLP-1 cells and vagal neurons in male mice

Newton Cao, Warda Merchant, Laurent Gautron · 2024 · Scientific Reports

The communication between intestinal Glucagon like peptide 1 (GLP-1)-producing cells and the peripheral nervous system has garnered renewed interest considering the availability of anti-obesity and anti-diabetic approaches targeting GLP-1…

View details →DOI: 10.1038/s41598-024-74000-8Cited by 15
Negative / Null Result ReportOpen accessMedicine

Facial skin complaints and work at visual display units. Epidemiological, clinical and histopathological studies

M Berg · 2026 · Acta Dermato Venereologica

Only in Sweden is skin disease reputedly caused by working at visual display units (VDUs) a considerable problem. In the present work facial skin complaints in VDU-exposed persons have been studied by means of epidemiological, clinical and…

View details →DOI: 10.2340/000155551989150140Cited by 15
Negative / Null Result ReportOpen accessSocial Sciences

Perspectives and Implementation of Multicultural Education: A Comparative Study between Developed and Developing Countries

Mukhlis Mukhlis, Ahmad Nabriz, Muhammad Eissawy Abu El Yazid et al. · 2026 · Integrated Education Journal

This study aims to comparatively analyze the perspectives, policies, implementation, and challenges of multicultural education in developed and developing countries. A qualitative approach was employed using library research, drawing on scholarly journal articles, academic books, educational policy documents, and relevant previous studies. Data were analyzed through comparative content analysis to identify patterns of similarities, differences, challenges, and implementation strategies across the two contexts. The findings indicate that developed countries generally demonstrate more systematic

View details →DOI: 10.67899/iej.v3i2.88Cited by 15
Negative / Null Result ReportOpen accessPhysics and Astronomy

Search for subsolar primordial black holes in low mass-ratio binaries with LIGO-Virgo O2 data and implications for the primordial black hole dark matter fraction

Anonymous, G. Baltus, Sarah Caudill et al. · 2026 · Physical review. D/Physical review. D.

We perform a search for binary black hole mergers with one sub-solar mass (SSM) black hole and a primary component above $\sim 2 M_\odot$ in data from the second observing run (O2) of the LIGO-Virgo detectors. Our analysis extends the parameter space explored by previous LIGO-Virgo Collaboration searches for binaries containing SSM components into a region of parameter space motivated by broad mass distributions of primordial black holes (PBHs) exhibiting a peak around $[2-3] M^{}_\odot$, which can arise from the reduction of the equation of state during the QCD phase transition in the early U

View details →DOI: 10.1103/cpjc-qvwlCited by 15
Negative / Null Result ReportOpen accessMedicine

Safety of Avacopan for the Treatment of Antineutrophil Cytoplasmic Antibody–Associated Vasculitis: Combined Data From Three Clinical Trials

Peter A. Merkel, Michael George, Huibin Yue et al. · 2025 · ACR Open Rheumatology

OBJECTIVE: This study aimed to report the safety of avacopan, an oral selective complement C5a receptor antagonist, using pooled data from clinical trials in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis…

View details →DOI: 10.1002/acr2.70001Cited by 15
Negative / Null Result ReportOpen accessMedicine

Use of new CORE risk score to predict 10 year risk of liver cirrhosis in general population: population based cohort study

Rickard Strandberg, Fredrik Åberg, Juho Asteljoki et al. · 2025 · BMJ

OBJECTIVE: To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. DESIGN: Population based cohort study. SETTING: Sweden, with validation in Finland and the UK.…

View details →DOI: 10.1136/bmj-2024-083182Cited by 15
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Automated Analysis of Aggregated Datasets to Identify Climatic Predictors of Botrytis Bunch Rot in Wine Grapes

G.N. Hill, R.M. Beresford, KJ Evans · 2018 · Phytopathology

Botrytis bunch rot (BBR), caused by Botrytis cinerea, results in serious losses to wine-grape production in some seasons during the preharvest period. In order to predict seasons that are at risk from BBR, datasets consisting of 25…

View details →DOI: 10.1094/phyto-10-17-0357-rCited by 15
Negative / Null Result Report

Annual and spatial variation in composition and activity of terrestrial mammals on two replicate plots in lowland forest of eastern Ecuador

John G. Blake, Bette A. Loiselle · 2018 · PeerJ

Terrestrial mammals are important components of lowland forests in Amazonia (as seed dispersal agents, herbivores, predators) but there are relatively few detailed studies from areas that have not been affected by human activities (e.g.,…

View details →DOI: 10.7717/peerj.4241Cited by 15
Negative / Null Result Report

Writing as a Tool to Demonstrate Mathematical Understanding

Christie Lynn Martin · 2015 · School Science and Mathematics

In this study, I examine how using a writers' workshop model in mathematics creates a space for students to write about their mathematical thinking and problem solving and how their writing impacts instruction. This case study of one…

View details →DOI: 10.1111/ssm.12131Cited by 15
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Skill-relatedness and employment growth of firms in times of prosperity and crisis in an oil-dependent region

John-Erik Rørheim, Ron Boschma · 2021 · Environment and Planning A Economy and Space

Many studies have shed light on the positive side of relatedness, but little attention has yet been devoted to possible downsides of relatedness for firm performance in regions. We found in a case study of the oil-dependent Stavanger region in Norway that plants in industries that are skill-related to the dominant oil and gas industry showed lower employment growth than plants in other industries. This was the case both in the boom and the crisis periods, even when controlling for supply linkages to the oil and gas sector. However, we also found that plants skill-related to the oil and gas ind

View details →DOI: 10.1177/0308518x211066102Cited by 15
Negative / Null Result ReportOpen accessMedicine

Comparing Biomechanical Properties, Repair Times, and Value of Common Core Flexor Tendon Repairs

Aakash Chauhan, Patrick J. Schimoler, Mark Carl Miller et al. · 2017 · Hand

BACKGROUND: The aim of the study was to compare biomechanical strength, repair times, and repair values for zone II core flexor tendon repairs. METHODS: A total of 75 fresh-frozen human cadaveric flexor tendons were harvested from the…

View details →DOI: 10.1177/1558944717701238Cited by 15
Negative / Null Result ReportPsychology

Impact of a Student Success Course on Undergraduate Academic Outcomes

Leah D. Hoops, Shirley L. Yu, Andrea Burridge et al. · 2015 · Journal of College Reading and Learning

Both community colleges and four-year institutions offer Student Success Courses (SSCs) to promote student engagement (self-regulated learning, SRL) and performance (grades, retention, and graduation). However, little work has been done to…

View details →DOI: 10.1080/10790195.2015.1032041Cited by 15