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 141 of 724
Vincent Adegoke, Daqing Chen, Ebad Banissi et al. · 2017
In this paper, several ensemble cancer survivability predictive models are presented and tested based on three variants of AdaBoost algorithm. In the models we used Random Forest, Radial Basis Function Network and Neural Network algorithms…
Prajakta Paritekar, Akshay Nayak, Y Umesh et al. · 2022 · Indian Journal of Ophthalmology
Purpose: To compare the efficacy of Kane formula with Sanders Retzlaff Kraff/Theoretical (SRK/T) and Barrett Universal II in predicting intraocular lens (IOL) power in Indian eyes. Methods: This retrospective study conducted in a tertiary…
Yanyan Yang, Hongan Wang, XU Hai-ping et al. · 2023 · Autism Research
The early start Denver model (ESDM) has been extensively studied as a promising early intervention approach for young children with autism spectrum disorder (ASD). Various methodological drawbacks from earlier ESDM investigations must be…
Laura Macchi, Francesco Poli, Laura Caravona et al. · 2019 · Europe’s Journal of Psychology
The previous research attempts to reduce the influence of the belief bias on deductive thinking have often been unsuccessful and, when they succeeded, they failed to replicate. In this paper, we propose a new way to see an old problem. Instead of considering the analytical abilities of the respondent, we focus on the communicative characteristics of the experimental task. By changing the pragmatics into play through a subtle manipulation of the instruction of the syllogism problem, we obtained a strong improvement in the accuracy of the performance in both untrained and trained in logic respon
Lígia Ramos dos Santos, Jucimara Ferreira Figueiredo Almeida, Lúcia Helena Sagrillo Pimassoni et al. · 2019 · Genetics and Molecular Biology
Genome-wide associations studies (GWAS) are detecting new variants associated with late-onset of Alzheimer's disease (LOAD), a multifactorial neurodegenerative disorder. The variants rs744373 BIN1, rs11136000 CLU and rs3764650 ABCA7 uncovered by GWAS led to different AD pathways, such as metabolism, trafficking and endocytosis of lipids and inflammation. However, most of the association studies did not replicate these variants with significance. This could be due to a small power effect evident when these variants are tested independently with LOAD. Therefore, we aimed to investigate whether t
Alice Mason, Casimir J. H. Ludwig, Simon Farrell · 2016 · Quarterly Journal of Experimental Psychology
Reward is thought to enhance episodic memory formation via dopaminergic consolidation. Bunzeck, Dayan, Dolan, and Duzel [(2010). A common mechanism for adaptive scaling of reward and novelty. Human Brain Mapping, 31, 1380-1394] provided functional magnetic resonance imaging (fMRI) and behavioural evidence that reward and episodic memory systems are sensitive to the contextual value of a reward-whether it is relatively higher or lower-as opposed to absolute value or prediction error. We carried out a direct replication of their behavioural study and did not replicate their finding that memory p
Stefan Wiens, Erik van Berlekom, Malina Szychowska et al. · 2019 · Frontiers in Psychology
The mismatch negativity (MMN) has been of particular interest in auditory perception because of its sensitivity to auditory change. It is typically measured in an oddball task and is computed as the difference of deviant minus standard tones. Previous studies suggest that the oddball MMN can be reduced by crossmodal attention to a concurrent, difficult visual task. However, more recent studies did not replicate this effect. Because previous findings seem to be biased, we preregistered the present study and used Bayesian hypothesis testing to measure the strength of evidence for or against an e
Kayla G. Townsley, S. H. Lee, Sarah Williams et al. · 2026 · Nature Communications
The immune environment influences neurodevelopment and subsequent clinical trajectories for psychiatric outcomes in childhood and adolescence. Yet it remains unclear if the impact of maternal and fetal immune activation varies with…
Gabriela-Florentina Tapos, Ioan-Alexandru Cîmpeanu, Iasmina-Alexandra Predescu et al. · 2026 · Diseases
BACKGROUND/OBJECTIVES: Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide and increasingly are recognized as a continuum of interconnected conditions rather than isolated entities. METHODS: A structured narrative literature search was performed in PubMed, Scopus, and Google Scholar for publications from 2015 to 2025 using combinations of different keywords: "cardiovascular disease spectrum", "multi-omics", "precision cardiology", "machine learning", and "artificial intelligence in cardiology". RESULTS: Evidence was synthesized across seven major cluste
Chang‐Wei Bai, Yi-Jiao Sun, Xin-Tong Huang et al. · 2026 · Nature Communications
Heterogeneous Fenton-like systems activated by peroxymonosulfate represent promising platforms for organic wastewater treatment but are significantly hampered by competing adsorption and catalytic oxidation processes at identical active…
Husna Husna, Khalid Abdullah Al Muzaini, Maryam Rashid Saleh Al Tamimi et al. · 2026 · Ar-Rayyan Journal of Islamic Education
The increasing availability of educational data has opened new opportunities for improving instructional decision-making through learning analytics. However, its application in Islamic Religious Education (IRE) remains limited, particularly in predicting students’ academic achievement and learning behavior. This study aims to develop a learning analytics model capable of identifying learning patterns and predicting students’ performance in IRE. A quantitative research design employing Educational Data Mining (EDM) techniques was conducted using learning management system (LMS) data from 512 se
Alicja W. Wojciechowska, Jakub W. Wojciechowski, Gert Vriend et al. · 2026 · Scientific Reports
Abstract While three-dimensional structures of globular and transmembrane forms are available for many amyloid proteins, structures of their amyloid forms are scarce in the PDB. Amyloids pose major challenges for both experimental…
Krithik Vishwanath, Anton Alyakin, Mrigayu Ghosh et al. · 2026 · Nature Medicine
Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on large language models (LLMs) against three frontier LLMs: GPT-5.2, Gemini 3.1 Pro and Claude Opus 4.6. Our evaluation has three stages: (1) 500 MedQA questions testing medical knowledge, (2) 500 HealthBench items measuring alignment with clinicians and (3) the real clinical queries (RCQ) benchmark, built from 100 de-identified queries from physicians to a general-purpose langu
Christoph K. Becker, Peter Duersch, Thomas Eife · 2026 · Quantitative Economics
In density forecasts, respondents are asked to assign probabilities to a response scale with pre‐specified ranges of inflation. In two large‐scale experiments, one conducted in the US and one in Germany, we show how the specifics of the…
John C. Martinez, Francesco Morandini, Cheyenne Rechsteiner et al. · 2026 · Nature Aging
Aging-associated inflammation, or 'inflammaging" is a driver of multiple age-associated diseases. Cyclic GMP-AMP Synthase (cGAS) is a cytosolic DNA sensor that functions to activate interferon response upon detecting viral DNA in the…
Yu Gao, Erfan Shahroudi, Stefan Bouts et al. · 2026 · Journal of the American Chemical Society
Cu-based ternary catalysts often outperform their binary counterparts in the hydrogenation of CO 2 to methanol. Unraveling the underlying synergistic effects among multiple components remains challenging and requires comprehensive operando…
Christian Greiner, Vincent Besch, Marissa Bouchard-Boivin et al. · 2025 · PLoS ONE
The concept of epistemic trust is gaining traction in the mental health field. Epistemic trust is thought to play a foundational role as a resilience factor against the development and maintenance of psychopathology by fostering social learning. The primary aim of this study was to validate the French-language version of the Epistemic Trust, Mistrust and Credulity Questionnaire (ETMCQ). We further sought to replicate previously reported associations with key developmental and psychological factors (childhood trauma, mentalizing and attachment) and test for epistemic trust's potential mediating
Susana Pereira Bastos · 2026 · University of Vienna
The presence of Indians in Mozambique since the second half of the 19th century is closely linked with the socio-economic and political transformations of the Swahili coast, as well as with the migratory movements between India and Austral Africa which began in 1860, namely with the wave of Gujarati “passengers” who paid their own passage, first to South Africa, later also to Delagoa Bay (Lourenco Marques). Based on the family life histories of the main Indian (Hindu, Sunni and Ismaili) family businesses of Mozambique, we intend to illustrate how the consolidation of a transnational migratory
Elizabeth Demers, Victor Xiaoqi Wang, Kean Wu · 2026 · Accounting Horizons
In 2020, the SEC issued amendments to Regulation S-K requiring filers to provide discussions of their human capital (HC) management practices. We investigate how firms respond during the first two years under this principles-based…
Mitali Tyagi, Eric de Hoog, Matthew Grega et al. · 2026 · Cell
Abstract Intracellular neurofibrillary tangles that consist of misfolded tau protein 1 cause neurodegeneration in Alzheimer’s disease (AD) and frontotemporal dementia (FTD). Tau pathology spreads cell-to-cell 2 but the exact mechanisms of tau release and intercellular transmission remain poorly defined. Tau is released from neurons as free protein or in extracellular vesicles (EVs) 3–5 but the role of these different release mechanisms in intercellular tau transmission is unclear. Here, we show that the neuronal gene Arc is critical for packaging tau into EVs. Brain EVs purified from human tau
Karsten Suhre, Qingwen Chen, Anna Halama et al. · 2025 · Nature Genetics
Most studies to date of protein quantitative trait loci (pQTLs) have relied on affinity proteomics platforms, which provide only limited information about the targeted protein isoforms and may be affected by genetic variation in their epitope binding. Here we show that mass spectrometry (MS)-based proteomics can complement these studies and provide insights into the role of specific protein isoform and epitope-altering variants. Using the Seer Proteograph nanoparticle enrichment MS platform, we identified and replicated new pQTLs in a genome-wide association study of proteins in blood plasma s
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
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…
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
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
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…
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
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
Dian Zhu, Jianan Zhao, Tong Wu et al. · 2025 · JMIR mhealth and uhealth
Background: Exercise is a primary recommended treatment for knee osteoarthritis (KOA), as it helps alleviate symptoms and improves joint functionality. Personalized exercise programs, tailored to individual patient needs, have demonstrated promising results in maintaining physical fitness and enhancing overall well-being. In recent years, digital health applications have emerged as innovative tools for supervising and facilitating rehabilitation programs. Leveraging computer vision (CV) technology, these applications offer the potential to provide precise feedback and support personalized exer
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