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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.

21247 results · page 144 of 709

Negative / Null Result ReportOpen accessEngineering

Nonlinear seepage mechanical model and bifurcation analysis for fluid-solid coupling in fractured rock mass

Cao Zhengzheng, Xie Mengqi, Rong Tao et al. · 2026 · Scientific Reports

With the development of underground engineering and oil and gas exploitation, the problem of fluid-solid interaction in fractured rock mass has become increasingly prominent, and its complex coupling mechanism has a profound impact on the…

View details →DOI: 10.1038/s41598-025-25823-6Cited by 10
Negative / Null Result ReportOpen accessEnvironmental Science

Dynamic oxygen vacancy engineering on CuO via refreshable catalytic surface for high-efficient water decontamination

Xinyi Zhang, Liangjie Wang, Jian Wei et al. · 2026 · Nature Communications

Oxygen vacancies (Ov) on metal oxide surfaces exhibit high catalytic activity for activating peroxymonosulfate (PMS) in wastewater decontamination, yet their in-situ regeneration remains a significant challenge. This study successfully…

View details →DOI: 10.1038/s41467-025-68180-8Cited by 10
Negative / Null Result ReportOpen accessEngineering

Ultrasound-Responsive Calcium Copper Phosphate Nanomaterials Induce Tumor Cell Death via the Synergistic Release of Copper and Calcium

Jieling Qin, Zhenqi Jiang · 2026 · International Journal of Molecular Sciences

Metastatic breast cancer remains a significant therapeutic challenge due to its high invasiveness and resistance to conventional treatments. In this study, an ultrasound-responsive copper-calcium phosphate (Ca19Cu2(PO4)14) nanomaterial is developed for synergistic ion-mediated tumor therapy. The Ca19Cu2(PO4)14 nanomaterials exhibit a uniform morphology and crystalline structure, as well as good colloidal stability. Upon ultrasound irradiation, the release of Cu2+ and Ca2+ is spatiotemporally controlled via mechanical and cavitation effects. In vitro studies using highly metastatic 4T1 cells de

View details →DOI: 10.3390/ijms27042016Cited by 10
Negative / Null Result ReportOpen accessComputer Science

Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy

Ramteja Sajja, Yusuf Sermet, Brian Fodale et al. · 2026 · Scientific Reports

As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for responsible adoption. This study evaluates the Educational AI Hub, an AI-powered learning…

View details →DOI: 10.1038/s41598-026-39237-5Cited by 10
Negative / Null Result ReportOpen accessMedicine

Risk stratification and scoring systems in upper and lower gastrointestinal bleeding: review of performance and limitations in the emergency department

Fatemeh Mohammadyari, Amirreza Aflak, Mahta ZareDini et al. · 2025 · Frontiers in Medicine

Background: Gastrointestinal bleeding (GIB), which includes both upper GIB (variceal and non-variceal) and lower GIB, represents a significant cause of emergency department referrals. Main body: Given the potential risks of blood transfusion, re-bleeding, and mortality in these patients, it is essential to establish a system for prioritizing critical patients. Several risk stratification scoring systems have been developed based on patients' clinical characteristics and/or endoscopic findings. However, the optimal scoring system for each clinical scenario remains uncertain. Conclusion: In this

View details →DOI: 10.3389/fmed.2025.1564015Cited by 10
Negative / Null Result ReportOpen accessMedicine

Effects of Dietary Interventions on Cognitive Outcomes

Judith Charbit, Jean‐Sébastien Vidal, Olivier Hanon · 2025 · Nutrients

Cognitive aging is a complex, multifactorial process influenced by genetic, metabolic, and environmental factors. Among modifiable risk factors, nutrition has emerged as a promising target to preserve cognitive function. This review provides a comprehensive overview of the impact of dietary interventions-including specific nutrients and dietary patterns-on cognitive domains (memory, executive function, global cognition) and mental health. Recent findings: multinutrient supplementation, particularly combinations of B vitamins and omega-3 fatty acids, appears beneficial for episodic memory, espe

View details →DOI: 10.3390/nu17121964Cited by 10
Negative / Null Result ReportOpen accessPsychology

Perceived Stress and Self-Esteem as Significant Predictors of Cigarette Smoking Behavior of Bangladeshi Male Adults

Muhammad Kamal Uddin, Md Tarikul Islam, Muhammad Asaduzzaman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

A large body of research has documented that smoking behavior is associated with a number of psychological variables. Weiss, Mouttapa, Cen, Johnson, and Unger (2011) studied a culturally diverse sample of 1,771 adolescents who reported that the risk of smoking initiation was significantly higher among students who scored higher on hostility and depressive symptoms, and were bully-victims. Mykletun, Overland, Aaro, Liabo, and Stewart (2008) carried out a population-based health survey on 60,814 adults aged between 20 to 89 years and reported that anxiety and depression were the most common in c

View details →DOI: 10.5281/zenodo.20354465Cited by 10
Negative / Null Result ReportOpen accessEnvironmental Science

Cognitive efficiency in VR simulated natural indoor environments examined through EEG and affective responses

Sieun Kim · 2025 · Scientific Reports

This study investigated the neurophysiological and affective responses elicited by nature-inspired indoor design elements, including curvilinear forms (CL), nature views (N), and wooden interiors (W), in a virtual environment, and their…

View details →DOI: 10.1038/s41598-025-18629-zCited by 10
Negative / Null Result ReportOpen accessMedicine

CONCUSS randomised clinical trial of vergence/accommodative therapy for concussion-related symptomatic convergence insufficiency

Tara L. Alvarez, Mitchell Scheiman, Farzin Hajebrahimi et al. · 2025 · British Journal of Sports Medicine

OBJECTIVE: The CONCUSS randomised clinical trial compared the effectiveness of immediate office-based vergence/accommodative therapy with movement (OBVAM) to delayed therapy for the treatment of concussion-related convergence insufficiency…

View details →DOI: 10.1136/bjsports-2025-109807Cited by 10
Negative / Null Result ReportOpen accessMedicine

Prognostic value of liver stiffness measurement vs. biochemical response in primary biliary cholangitis

Yu Jun Wong, Laurent Lam, Pierre‐Antoine Soret et al. · 2025 · Journal of Hepatology

BACKGROUND & AIMS: Both liver stiffness measurement (LSM) and biochemical response have prognostic significance in patients with primary biliary cholangitis (PBC). However, the frequency and clinical relevance of discordant biochemical and LSM changes remain unclear. We aim to determine the performance of the most recent or current LSM (LSMc) in predicting first hepatic decompensation (HD) in the setting of discordant biochemical and LSM responses. METHODS: In this international, multicenter study, we included patients with at least two reliable LSM performed at least 6 months apart. Patients

View details →DOI: 10.1016/j.jhep.2025.09.024Cited by 10
Negative / Null Result ReportOpen accessMedicine

Amyloid-beta-targeting monoclonal antibodies for people with mild cognitive impairment or mild dementia due to Alzheimer’s disease

Francesco Nonino, Silvia Minozzi, L. Sambati et al. · 2026 · Cochrane Database of Systematic Reviews

RATIONALE: Alzheimer's disease is a neurodegenerative disorder and the most common cause of dementia. Aggregated amyloid-beta protein deposits are implicated in its pathogenesis. Amyloid-beta-targeting monoclonal antibodies (sometimes represented as Aβ-mAbs) are potentially disease-modifying for Alzheimer's disease: through the clearance of amyloid in the brain, they may slow cognitive and functional decline. OBJECTIVES: To assess the clinical benefits and harms of amyloid-beta-targeting monoclonal antibodies aducanumab, bapineuzumab, crenezumab, donanemab, gantenerumab, lecanemab, ponezumab,

View details →DOI: 10.1002/14651858.cd016297Cited by 10
Negative / Null Result ReportOpen accessMedicine

Longitudinal Blood-Based Biomarkers and Clinical Progression in Subjective Cognitive Decline

Calvin Trieu, Argonde C. van Harten, Mardou S. S. A. van Leeuwenstijn et al. · 2025 · JAMA Network Open

Importance: Blood-based biomarkers identify Alzheimer disease and hold promise for monitoring disease progression, even in the preclinical disease stages. Objective: To investigate longitudinal trajectories of blood-based biomarkers and association with cognitive decline and risk of progression in individuals with subjective cognitive decline (SCD). Design, Setting, and Participants: This prospective cohort study (Subjective Cognitive Impairment Cohort) of individuals with SCD evaluated at a memory clinic underwent biennial biomarker collection and annual cognitive assessment and diagnostic ev

View details →DOI: 10.1001/jamanetworkopen.2025.45862Cited by 10
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

The gut–kidney axis in chronic kidney disease: mechanisms, microbial metabolites, and microbiome-targeted therapeutics

Sami Alobaidi · 2025 · Frontiers in Medicine

Chronic kidney disease (CKD) remains a major global health issue, affecting millions and presenting persistent diagnostic and therapeutic challenges. Conventional biomarkers such as serum creatinine and estimated glomerular filtration rate have well-recognized limitations, underscoring the need for novel diagnostic tools and interventions. Emerging evidence highlights the gut-kidney axis as a central contributor to CKD pathogenesis, shaped by microbial dysbiosis and altered metabolite production. Harmful metabolites such as indoxyl sulfate, p-cresyl sulfate, and trimethylamine-N-oxide promote

View details →DOI: 10.3389/fmed.2025.1675458Cited by 10
Negative / Null Result ReportOpen accessMedicine

Climate change and hyponatremia‐related hospital admissions in people with focal epilepsy exposed to carbamazepine or its derivatives

Francesco Fortunato, Francesco D’Amico, Anny Votano et al. · 2025 · Epilepsia

OBJECTIVE: To estimate the proportion of individuals with focal epilepsy treated with at least one among carbamazepine (CBZ), oxcarbazepine (OXC), or eslicarbazepine (ESL), who were hospitalized due to hyponatremia-related symptoms in 2024, and to test the hypothesis that there is an association with climatic variables. METHODS: We undertook a prospective study in which people with focal epilepsy treated with at least one of the target drugs and at least one attendance in 2024 formed the study cohort. Individuals who were admitted or seen as outpatients for hyponatremia in 2024 were considered

View details →DOI: 10.1111/epi.18584Cited by 10
Negative / Null Result ReportOpen accessMedicine

PIP4K2C inhibition reverses autophagic flux impairment induced by SARS-CoV-2

Marwah Karim, Manjari Mishra, Chieh‐Wen Lo et al. · 2025 · Nature Communications

In search for broad-spectrum antivirals, we discover a small molecule inhibitor, RMC-113, that potently suppresses the replication of multiple RNA viruses including SARS-CoV-2 in human lung organoids. We demonstrate selective inhibition of…

View details →DOI: 10.1038/s41467-025-61759-1Cited by 10
Negative / Null Result ReportOpen accessPsychology

Combating weight-stigmatization in online spaces: the impacts of body neutral, body positive, and weight-stigmatizing TikTok content on body image and mood

Raeanna Kilby, Kristin D. Mickelson · 2025 · Frontiers in Psychiatry

Social media movements centered on body positivity and body neutrality both encourage healthy attitudes toward the physical body; however, these movements are conceptually distinct and may have unique influences on body image. This study examined how brief exposure to different types of body acceptance and weight-stigmatizing content affects body image and mood. Participants consisted of women and gender-diverse individuals (N = 326) who completed an online survey and were randomly assigned to view one of four TikTok video compilations: body neutrality, body positivity, weight-stigmatizing, or

View details →DOI: 10.3389/fpsyt.2025.1577063Cited by 10
Negative / Null Result ReportOpen accessMedicine

An international Phase IV field study - psychometric properties of the updated module on assessing quality of life of patients with breast cancer EORTC QLQ-BR42

Vesna Bjelic‐Radisic, Fátima Cardoso, Joachim Weis et al. · 2025 · The Breast

BACKGROUND: The EORTC QLQ-BR23, published in 1996, was one of the first disease-specific questionnaires to assess health-related quality of life (HRQoL) in patients with breast cancer (BC). In the last decades, major changes in BC…

View details →DOI: 10.1016/j.breast.2025.103890Cited by 10
Negative / Null Result ReportOpen accessMedicine

18F-PI-2620 Tau PET is associated with cognitive and motor impairment in Lewy body disease

Joseph R. Winer, Hillary Vossler, Christina B. Young et al. · 2024 · Brain Communications

Abstract Co-pathology is frequent in Lewy body disease, which includes clinical diagnoses of both Parkinson’s disease and dementia with Lewy bodies. Measuring concomitant pathology in vivo can improve clinical and research diagnoses and prediction of cognitive trajectories. Tau PET imaging may serve a dual role in Lewy body disease by measuring cortical tau aggregation as well as assessing dopaminergic loss attributed to binding to neuromelanin within substantia nigra. We sought to characterize 18F-PI-2620, a next generation PET tracer, in individuals with Lewy body disease. We recruited 141 p

View details →DOI: 10.1093/braincomms/fcae458Cited by 10
Negative / Null Result ReportOpen accessDentistry

Unraveling the oral microbiome's role in Alzheimer's disease: From pathophysiology to therapeutic potential

Gilliana Rozenblum, Karima Ait‐Aissa, G. E. D. Zahran et al. · 2025 · Alzheimer s & Dementia

Oral dysbiosis contributes to Alzheimer's disease (AD) by promoting neuroinflammation. Pathobionts such as Porphyromonas gingivalis, Treponema denticola, and Fusobacterium nucleatum release virulence factors that induce amyloid beta aggregation and tau hyperphosphorylation, while the loss of commensals like Streptococcus salivarius and Neisseria spp. impairs anti-inflammatory protection, worsening neuronal damage. P. gingivalis is strongly linked to an increased risk of AD, especially in individuals with systemic conditions like diabetes, hypertension, and chronic kidney disease. Its presence

View details →DOI: 10.1002/alz.71011Cited by 10
Negative / Null Result ReportOpen accessMedicine

Mediterranean Diet, Polyphenols, and Neuroprotection: Mechanistic Insights into Resveratrol and Oleuropein

Mónika Fekete, Tamás Jarecsny, Andrea Ceglédi et al. · 2025 · Nutrients

Background: Neurodegenerative diseases, including Alzheimer’s disease and Parkinson’s disease, are among the leading causes of disability and mortality worldwide. Dietary patterns have emerged as modifiable risk factors that may influence disease onset and progression. The Mediterranean diet (MedDiet), rich in fruits, vegetables, whole grains, legumes, fish, and extra virgin olive oil, has been consistently associated with better cognitive outcomes and reduced risk of neurodegeneration. Aim: This narrative review summarizes current evidence on the role of the MedDiet in slowing the progression

View details →DOI: 10.3390/nu17243929Cited by 10
Negative / Null Result ReportOpen accessEngineering

Digital divide and income inequality: causal evidence from Italian provinces

Angela Stefania Bergantino, Giulio Fusco, Mario Intini et al. · 2025 · The Annals of Regional Science

Abstract The digital economy can function either as a catalyst to stimulate economic growth or else as a driver of socioeconomic inequality when its benefits are unevenly distributed. This study investigates the effect of rural digital connectivity on income inequality in Italy. Utilizing NUTS 3 panel data spanning 2014–2022, we conduct a counterfactual Difference-in-Differences approach with continuous treatment intensity to estimate the impact of introducing rural broadband coverage at speeds of 30 and 100 Mbps on multiple measures of income distribution, including the Gini, Theil, and Atkin

View details →DOI: 10.1007/s00168-025-01440-zCited by 10
Negative / Null Result ReportOpen accessMedicine

Comprehensive evaluation of GLP-1 receptor agonists: an umbrella review of clinical outcomes across multiple diseases

Fanjing Kong, Yanru Zhao, Weiming Zhang et al. · 2026 · Nature Communications

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) were initially approved for type 2 diabetes mellitus. Recent evidence suggests their therapeutic potential in various diseases, though their efficacy and safety remain incompletely…

View details →DOI: 10.1038/s41467-025-67701-9Cited by 10
Negative / Null Result ReportOpen accessMedicine

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Jörg Matthes, Anne Reinhardt, Selma Hodzic et al. · 2026 · Journal of Medical Internet Research

Background: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In the health context, generative AI is seen as a potentially disruptive information source due to its low entry barriers, conversational style, and ability to tailor content to users' needs. However, little is known about whether and how individuals use generative AI for health purposes, and which groups may benefit or be left behind, raising important questions of digital health equity. Objective: This study aimed to assess the current relevance

View details →DOI: 10.2196/75648Cited by 10
Negative / Null Result ReportOpen accessMedicine

Population-scale sequencing resolves determinants of persistent EBV DNA

Sherry S. Y. Nyeo, Erin M. Cumming, Oliver S. Burren et al. · 2026 · Nature

Abstract Epstein–Barr virus (EBV) is an endemic herpesvirus implicated in autoimmunity, cancer and neurological disorders. Although primary infection is often subclinical, persistent EBV infection can drive immune dysregulation and long-term complications. Despite the ubiquity of infection, the determinants of EBV persistence following primary exposure remain poorly understood, although human genetic variation partially contributes to this phenotypic spectrum 1–3 . Here we demonstrate that existing whole genome sequencing (WGS) data of human populations can be used to quantify persistent EBV D

View details →DOI: 10.1038/s41586-025-10020-2Cited by 10
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Antibiotic use and gut microbiome composition links from individual-level prescription data of 14,979 individuals

Gabriel Baldanzi, Anna Larsson, Sergi Sayols-Baixeras et al. · 2026 · Nature Medicine

Disruptions in gut microbiome are implicated in cardiometabolic disorders and other health outcomes. Antibiotics are known gut microbiome disruptors, but their long-term consequences remain underexplored. Here we combined individual-level data from the Swedish Prescribed Drug Register with fecal metagenomes of 14,979 adults to examine the association between oral antibiotic use over 8 years and gut microbiome. In multivariable confounder-adjusted regression models, antibiotic use <1 year before fecal sampling was associated with the greatest reduction in species diversity, but significant asso

View details →DOI: 10.1038/s41591-026-04284-yCited by 10
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Similarities and differences between dog–human and human–human relationships

Borbála Turcsán, Dorottya Júlia Ujfalussy, Andrea Kerepesi et al. · 2025 · Scientific Reports

Most dog owners in Western countries regard their dogs as companions or family members, prompting extensive research on the human-animal bond. However, many studies rely on broad categories or single dimensions, such as satisfaction or attachment, which can oversimplify the complexity of these relationships. In contrast, our study employed a multifaceted approach, examining the dog-owner bond across 13 relationship scales and comparing these scales to four different types of human relationships to reveal the human-like roles of dogs within a family. Participants (N = 717) characterized their r

View details →DOI: 10.1038/s41598-025-95515-8Cited by 10
Negative / Null Result ReportOpen accessMedicine

Therapeutic Potential of Short-Chain Fatty Acids in Gastrointestinal Diseases

Mengting Zhu, Jonathan Lee · 2025 · Nutraceuticals

Short-chain fatty acids (SCFAs) are metabolites derived from the fermentation of dietary fibre by gut bacteria. SCFAs function as essential regulators of host-microbiome interactions by participating in numerous physiological and pathological processes within the gastrointestinal (GI) tract. In recent years, the depletion of SCFAs has been increasingly linked to the pathogenesis of GI diseases. In this review, we summarize the current understanding of the therapeutic mechanisms of SCFAs in GI diseases, including inflammatory bowel disease, irritable bowel syndrome, metabolic dysfunction-associ

View details →DOI: 10.3390/nutraceuticals5030019Cited by 10
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Trichoderma in Sustainable Agriculture and the Challenges Related to Its Effectiveness

Karina Gutiérrez-Moreno, Ana Isabel Olguín-Martínez, Amelia C. Montoya-Martínez et al. · 2025 · Diversity

Fungi from the genus Trichoderma have been extensively studied and used as biological control agents (BCAs) because of their versatile mechanisms of action. These include triggering systemic resistance, directly inhibiting pathogens, promoting plant growth, enhancing tolerance to abiotic stress, and producing auxins. However, the widespread application of the most studied Trichoderma strains has been limited by discrepancies between their potential results observed in controlled environments and the outcomes in greenhouses and field conditions. These differences are associated with context dep

View details →DOI: 10.3390/d17100734Cited by 10
Negative / Null Result ReportOpen accessMedicine

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50

Şafak Kılıç · 2025 · PLoS ONE

BACKGROUND AND OBJECTIVE: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CB

View details →DOI: 10.1371/journal.pone.0330914Cited by 10
Negative / Null Result ReportOpen accessMaterials Science

Benchmarking Large Language Models for Polymer Property Predictions

Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla et al. · 2025 · Macromolecular Rapid Communications

ABSTRACT Machine learning and artificial intelligence have revolutionized polymer science by enhancing the ability to rapidly predict key polymer properties and enabling generative design. The utilization of large language models (LLMs) in polymer informatics may offers additional opportunities for advancement. Unlike traditional methods that depend on large labeled datasets, hand‐crafted representations of the materials, and complex feature engineering, LLM‐based methods utilize natural language inputs via a transfer learning process and eliminate the need for complex representation and finge

View details →DOI: 10.1002/marc.202500388Cited by 10