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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.

21294 results · page 326 of 710

Negative / Null Result ReportOpen accessMedicine

The Monitoring of Vertical Transmission of HIV in the Northeastern Romania Cohort-A Continuing Challenge.

Loghin II, Vaţă A, Rusu ȘA et al. · 2026 · Medicina (Kaunas, Lithuania)

Background and Objectives. Mother-to-child transmission (MTCT) or vertical transmission of human immunodeficiency virus (HIV) is largely preventable in settings where prevention of MTCT (PVT) strategies are consistently implemented.…

View details →DOI: 10.3390/medicina62040632
Negative / Null Result ReportMedicine

Intrinsically nonlocal metamaterials.

Ware A, LaMountain J, White RC et al. · 2026 · Nature communications

The electromagnetic response of materials serves as the foundation for a broad range of vital applications, from imaging, to sensing, to classical and quantum communications. Here we demonstrate, theoretically and experimentally, a…

View details →DOI: 10.1038/s41467-026-74396-z
Negative / Null Result ReportOpen accessMedicine

Long-Term Clinical, Immunologic, and Viral Reservoir Outcomes in Children Treated With VRC01LS and 10-1074 Monoclonal Antibodies in the Tatelo Study.

Ajibola G, Nelson BS, Niesar A et al. · 2026 · Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Background Broadly neutralizing antibodies (bNAbs) are a promising treatment option for children with HIV-1, but their long-term impact on virologic, immunologic, and clinical outcomes is unknown. Methods The Tatelo Study investigated dual…

View details →DOI: 10.1093/cid/ciaf568
Negative / Null Result ReportOpen accessMedicine

Metformin

· 2006

Data from well-conducted studies indicate that metformin levels in milk are low and infants would receive less than 0.5% of their mother's weight-adjusted dosage. Milk metformin levels are relatively constant during maternal metformin use,…

Negative / Null Result ReportOpen accessMedicine

Combustion and Heated Tobacco Cigarettes, but Not E-Cigarettes, Impair Aquaporin-Dependent H<sub>2</sub>O<sub>2</sub> Permeability in ATII-Like Cells.

Senise G, Bodega F, Porta C et al. · 2026 · Cells

Cigarette smoke is a major inducer of oxidative stress, promoting reactive oxygen species (ROS) accumulation and contributing to the pathogenesis of chronic obstructive pulmonary disease (COPD) and lung cancer. Heated tobacco products…

View details →DOI: 10.3390/cells15121112
Negative / Null Result ReportOpen accessMedicine

Citalopram

· 2006

Infants receive citalopram in breastmilk, and it is detectable in low levels in the serum of some. The dosage that the infant receives and serum level achieved are probably related to the genetic metabolic capacity of the mother and…

Negative / Null Result Report

Particle Structure from Codimension-Two Carrier Closure

Li B · 2026 · Preprint

The Standard Model describes particle phenomena through continuous gauge structures, chiral assignments, color, generations, and Yukawa masses, but it does not derive these labels from a deeper structural principle. This paper proposes a…

View details →DOI: 10.20944/preprints202606.0775.v1
Negative / Null Result Report

Tick-borne pathogens in Swedish wild boar and their attached ticks: the first detection of Borrelia species in wild boar in northern Europe

Lindell H, Lehtilä K, Dinnétz P · 2026 · Preprint

Abstract Background Wild boar ( Sus scrofa ) have expanded in northern Europe, yet their role in the ecology of tick-borne pathogens remains poorly understood. This study investigated the occurrence of Anaplasma phagocytophilum and…

View details →DOI: 10.21203/rs.3.rs-9583918/v1
Negative / Null Result ReportOpen accessMedicine

Biomarker analysis of circulating tumor DNA in clinical stage III melanoma patients treated with neoadjuvant immunotherapy combined with targeted therapy.

Stoff R, Routman DM, Yalon M et al. · 2026 · Therapeutic advances in medical oncology

Background Circulating tumor DNA (ctDNA) is predictive of recurrence in resected stage III melanoma, yet its role in the neoadjuvant setting for clinical stage III (cSIII) is unclear. Objective Assess the association between ctDNA and…

View details →DOI: 10.1177/17588359251412729
Negative / Null Result ReportOpen accessPhysics

Grid-based calculations of redshift-space matter fluctuations from perturbation theory: UV sensitivity and convergence at the field level

Atsushi Taruya, Takahiro Nishimichi, Donghui Jeong · 2021 · arXiv

Perturbation theory (PT) has been used to interpret the observed nonlinear large-scale structure statistics at the quasi-linear regime. To facilitate the PT-based analysis, we have presented the GridSPT algorithm, a grid-based method to compute the nonlinear density and velocity fields in standard perturbation theory (SPT) from a given linear power spectrum. Here, we further put forward the approach by taking the redshift-space distortions into account. With the new implementation, we have, for the first time, generated the redshift-space density field to the fifth order and computed the next-

Negative / Null Result ReportOpen accessComputer Science

Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks

Jin Zeng, Yang Liu, Gene Cheung et al. · 2022 · arXiv

A graph convolutional network (GCN) employs a graph filtering kernel tailored for data with irregular structures. However, simply stacking more GCN layers does not improve performance; instead, the output converges to an uninformative low-dimensional subspace, where the convergence rate is characterized by the graph spectrum -- this is the known over-smoothing problem in GCN. In this paper, we propose a sparse graph learning algorithm incorporating a new spectrum prior to compute a graph topology that circumvents over-smoothing while preserving pairwise correlations inherent in data. Specifica

Negative / Null Result ReportOpen accessComputer Science

A pipeline for fair comparison of graph neural networks in node classification tasks

Wentao Zhao, Dalin Zhou, Xinguo Qiu et al. · 2020 · arXiv

Graph neural networks (GNNs) have been investigated for potential applicability in multiple fields that employ graph data. However, there are no standard training settings to ensure fair comparisons among new methods, including different model architectures and data augmentation techniques. We introduce a standard, reproducible benchmark to which the same training settings can be applied for node classification. For this benchmark, we constructed 9 datasets, including both small- and medium-scale datasets from different fields, and 7 different models. We design a k-fold model assessment strate

Negative / Null Result ReportOpen accessComputer Science

Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks

Charles Jin, Melinda Sun, Martin Rinard · 2021 · arXiv

We propose a novel clustering mechanism based on an incompatibility property between subsets of data that emerges during model training. This mechanism partitions the dataset into subsets that generalize only to themselves, i.e., training on one subset does not improve performance on the other subsets. Leveraging the interaction between the dataset and the training process, our clustering mechanism partitions datasets into clusters that are defined by--and therefore meaningful to--the objective of the training process. We apply our clustering mechanism to defend against data poisoning attacks,

Negative / Null Result ReportOpen accessPhysics

Control of Surgical Gesture under Lingual Electro-Tactile Stimulation

Fabien Robineau, Frédéric Boy, Jean-Pierre Orliaguet et al. · 2006 · arXiv

Performing minimal-invasive surgical punctures require guiding a needle toward an intracorporeal clinically-defined target. As this technique does not involve cutting the body open, a visualization system is employed to provide the surgeon with indirect visual spatial information about the intracorporeal positions of the tool. One may consider that such systems reduce the ergonomics of the situation as they generate a decorrelation between the actual movement of the needle and the displayed information about this movement. The present study aims at assessing the guidance of an intracorporeal p

Negative / Null Result ReportOpen accessComputer Science

On Relativistic $f$-Divergences

Alexia Jolicoeur-Martineau · 2019 · arXiv

This paper provides a more rigorous look at Relativistic Generative Adversarial Networks (RGANs). We prove that the objective function of the discriminator is a statistical divergence for any concave function $f$ with minimal properties ($f(0)=0$, $f'(0) \neq 0$, $\sup_x f(x)>0$). We also devise a few variants of relativistic $f$-divergences. Wasserstein GAN was originally justified by the idea that the Wasserstein distance (WD) is most sensible because it is weak (i.e., it induces a weak topology). We show that the WD is weaker than $f$-divergences which are weaker than relativistic $f$-diver

Negative / Null Result ReportOpen accessComputer Science

Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media

Paul Röttger, Janet B. Pierrehumbert · 2021 · arXiv

Language use differs between domains and even within a domain, language use changes over time. For pre-trained language models like BERT, domain adaptation through continued pre-training has been shown to improve performance on in-domain downstream tasks. In this article, we investigate whether temporal adaptation can bring additional benefits. For this purpose, we introduce a corpus of social media comments sampled over three years. It contains unlabelled data for adaptation and evaluation on an upstream masked language modelling task as well as labelled data for fine-tuning and evaluation on

Negative / Null Result ReportOpen accessComputer Science

Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition

Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco · 2023 · arXiv

Video analysis is a computer vision task that is useful for many applications like surveillance, human-machine interaction, and autonomous vehicles. Deep Convolutional Neural Networks (CNNs) are currently the state-of-the-art methods for video analysis. However they have high computational costs, and need a large amount of labeled data for training. In this paper, we use Convolutional Spiking Neural Networks (CSNNs) trained with the unsupervised Spike Timing-Dependent Plasticity (STDP) learning rule for action classification. These networks represent the information using asynchronous low-ener

Negative / Null Result ReportOpen accessComputer Science

Morphological evaluation of subwords vocabulary used by BETO language model

Óscar García-Sierra, Ana Fernández-Pampillón Cesteros, Miguel Ortega-Martín · 2024 · arXiv

Subword tokenization algorithms used by Large Language Models are significantly more efficient and can independently build the necessary vocabulary of words and subwords without human intervention. However, those subwords do not always align with real morphemes, potentially impacting the models' performance, though it remains uncertain when this might occur. In previous research, we proposed a method to assess the morphological quality of vocabularies, focusing on the overlap between these vocabularies and the morphemes of a given language. Our evaluation method was built on three quality meas

Negative / Null Result ReportOpen accessNutrition. Foods and food supply

Effects of essential oil extracted from Artemisia argyi leaf on lipid metabolism and gut microbiota in high-fat diet-fed mice

Kaijun Wang, Kaijun Wang, Jie Ma et al. · 2022 · Frontiers in Nutrition

Artemisia argyi leaf is a well-known species in traditional Chinese medicine, and its essential oil (AAEO) has been identified to exert various physiological activities. The aim of this study was to investigate the effects of AAEO on lipid metabolism and the potential microbial role in high-fat diet (HFD)-fed mice. A total of 50 male mice were assigned to five groups for feeding with a control diet (Con), a high-fat diet (HFD), and the HFD plus the low (LEO), medium (MEO), and high (HEO) doses of AAEO. The results demonstrated that dietary HFD markedly increased the body weight gain compared w

View details →DOI: 10.3389/fnut.2022.1024722
Negative / Null Result ReportOpen accessMedicine

Adjuvant chemotherapy for breast cancer after preoperative chemotherapy: A propensity score matched analysis.

Julie Labrosse, Marie Osdoit, Anne-Sophie Hamy et al. · 2020 · PLoS ONE

Although identified to be at a higher risk of relapse, no consensus exists on the treatment of breast cancer (BC) patients with no pathological complete response after neoadjuvant chemotherapy (NAC). The benefit of adjuvant chemotherapy (ADJ) in this context has scarcely been studied. We evaluated the benefit of administrating adjuvant chemotherapy in a real life cohort of BC patients with invasive residual disease after NAC. 1199 female BC patients with T1-3NxM0 invasive tumors receiving NAC at Institut Curie from 2002 to 2012 were included in the analysis. 1061 had been treated by NAC only,

View details →DOI: 10.1371/journal.pone.0234173
Negative / Null Result ReportOpen accessOrthopedic surgery

Comparison of simultaneous bilateral with unilateral total knee arthroplasty

Yakup Ekinci, Mithat Oner, Ibrahim Karaman et al. · 2020 · Acta Orthopaedica et Traumatologica Turcica

Abstract Objective: The aim of this study was to compare simultaneous bilateral total knee arthroplasty (BTKA) and unilateral total knee arthroplasty (UTKA) in terms of morbidity, clinical and radiological findings and quality of life. Methods: The study included 48 simultaneous BTKAs (46 females, 2 males; mean age: 64.00±8.31 years) and 53 UTKAs (46 females, 7 males; mean age: 64.40±7.45 years) performed between November 2007 and June 2012. Groups were compared with respect to comorbidity, complications, blood transfusion, hospital stay, clinical and radiological (American Knee Society Score)

View details →DOI: 10.3944/aott.2014.3226
Negative / Null Result ReportOpen accessArctic medicine. Tropical medicine

Peer-led versus routine health education for schistosomiasis knowledge improvement among primary school students in Wuhan, China.

Yuelin Xiong, Huatang Luo, Hao Wang et al. · 2026 · PLoS Neglected Tropical Diseases

Background Schistosomiasis, a neglected tropical disease (NTD), remains a public health concern in China. Health education is a fundamental intervention for its control. Even in transmission-interrupted areas like Wuhan, sustained awareness is crucial. However, recent literature on school-based interventions evaluating knowledge, attitudes and practices (KAP) among children in such areas is limited. Objective This study aimed to evaluate and compare the effectiveness of peer-led education versus routine health education in improving schistosomiasis-related KAP among elementary students in an u

View details →DOI: 10.1371/journal.pntd.0013857