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.
21252 results · page 152 of 709
John M. Carey, Brian J. Fogarty, Marília Gehrke et al. · 2025 · Science Advances
We investigate how to counter misinformation about voter and election fraud using data from the US and Brazil. Our study first compares two types of messages countering claims of widespread fraud: (i) retrospective corrections from…
Davide Faccialà, M. Bonanomi, Bruno Nunes Cabral Tenorio et al. · 2025 · Journal of the American Chemical Society
High Resolution Image Download MS PowerPoint Slide We report a study of the electronic and nuclear relaxation dynamics of the photoexcited RNA base uracil in the gas phase using time-resolved core-level photoelectron spectroscopy together with high-level calculations. The dynamics was investigated by trajectory surface hopping calculations, and the core ionization energies were calculated for geometries sampled from these. The molecule was excited by a UV laser and dynamics probed on the oxygen, nitrogen, and carbon sites by core electron spectroscopy. We find that the main de-excitation chann
Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel et al. · 2025 · Computers and Electronics in Agriculture
Machine learning and geostatistics are two fundamentally different frameworks for the prediction and spatial mapping of soil properties. Geostatistics leverages the spatial structure of soil properties, whereas machine learning models capture the relationship between available environmental features and soil properties. We propose a hybrid framework that augments machine learning with spatial context through the engineering of ‘spatial lag’ features derived from ordinary kriging. We call this approach ‘kriging prior regression’ (KpR), as it reverses the logic of regression kriging by incorpera
Sabine Willems, Vasily Morozov, Julian A. Marschner et al. · 2025 · Journal of Medicinal Chemistry
The ligand-activated transcription factors of the NR4A family are implicated as promising drug targets with neuroprotective and anticancer potential and attract strong attention in drug discovery. Several NR4A modulators have been…
Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata et al. · 2025 · Diagnostics
Inflammatory bowel diseases (IBDs), comprising Crohn's disease (CD) and ulcerative colitis (UC), are chronic immune-mediated inflammatory diseases of the gastrointestinal (GI) tract with still-elusive etiopathogeneses and an increasing prevalence worldwide. Despite the growing availability of more advanced therapies in the last two decades, there are still a number of unmet needs. For example, the achievement of mucosal healing has been widely demonstrated as a prognostic marker for better outcomes and a reduced risk of dysplasia and cancer; however, the accuracy of endoscopy is crucial for bo
Bálint Soczó, Ildikó Pethes · 2025 · Journal of Molecular Liquids
Describing the interactions of water molecules is one of the most common, yet critical, tasks in molecular dynamics simulations . Because of its unique properties, hundreds of attempts have been made to construct an ideal interaction potential model for water. In various studies, the models have been evaluated based on their ability to reproduce different properties of water. This work focuses on the atomic-scale structure in the liquid phase of water. Forty-four classical water potential models are compared to identify those that can accurately describe the structure in alignment with experim
Eva S. M. van der Heijden, Karin Näsvall, Fernando Seixas et al. · 2025 · Proceedings of the National Academy of Sciences
A central question in evolutionary biology is what drives the diversification of lineages. Rapid, recent radiations are ideal systems for this question because they still show key morphological and ecological adaptations associated with speciation. While most research on recent radiations focuses on those occurring in insular environments, less attention has been given to continental radiations with complex species interactions. Here, we study the drivers of continental radiations of Melinaea and Mechanitis butterflies (Nymphalidae: Ithomiini), which have rapidly radiated in the continental Ne
Valdemar Brimnes Ingemann Johansen, Anna Katrina Jógvansdóttir Gradel, Stephanie Kjærulff Holm et al. · 2025 · Cell Reports Medicine
Liver-expressed antimicrobial peptide 2 (LEAP2) is an endogenous antagonist and inverse agonist of the ghrelin receptor, countering ghrelin's effects on cell signaling and feeding. However, despite an emerging interest in LEAP2's…
M. A. Huque, Leon M. Tolbert, Benjamin J. Blalock et al. · 2026 · IMAPSource Proceedings
High-temperature power conversion modules (DC-DC converters, inverters, etc.) have enormous potential in extreme environment applications, including automotive, aerospace, geothermal, nuclear, and well logging. Power-to-volume and…
Rachel O’Neill · 2025 · International Journal of Cultural Studies
Medical doctors are central to existing networks for wellness content on Instagram in and beyond the UK, yet remain overlooked within scholarship concerned with this terrain. Taking a case study approach, this article examines three such figures prominent in the UK context. In doing so, it challenges existing conceptualisations of the 'wellness influencer' and argues for an expanded understanding of the category, one that does not assume its representatives are 'lay' persons without recognised expertise in health and well-being. The analysis developed demonstrates that credentials cannot resol
Takahiro Ogawa, Rune Shibata, Keiji Komatsu et al. · 2025 · International Journal of Implant Dentistry
PURPOSE: Despite decades of clinical success with microrough implant surfaces, persistent challenges-particularly the biological trade-off between osteoblast proliferation and differentiation-highlight the need for novel surface design strategies. This review investigates the potential of meso-scale topography (10-500 μm) as a promising and underexplored dimension in implant surface engineering, situated between macro-level implant geometry and conventional microroughness. METHODS: A systematic review, supplemented by a targeted literature search, was conducted to evaluate the biological and m
Fengxiang Liu, Shipeng Ning, Xia Wang et al. · 2025 · Science Advances
Cancer stem cells (CSCs) and myeloid-derived suppressor cells (MDSCs) contribute to chemoresistance and immunosuppression, constraining chemoimmunotherapy outcomes. Differentiation therapy, aiming to mature CSCs and MDSCs, shows great promise. However, its efficacy is hindered by limited accessibility in hypoxic deep tumor regions. Inspired by the apoptotic body (ApoBD)-mediated deep tumor penetration, we design a pulsatile sequential drug release system with a core-shell structure. The reversible acid-responsive shell protonates and swells in lysosomes to release doxorubicin, inducing lysosom
Sahar Motamedi, Nina Ravoet, Jonas Dehairs et al. · 2025 · Nature Communications
Ferroptosis, a regulated form of cell death driven by lipid peroxidation, holds promise for targeting treatment-resistant cancer cells. Using a panel of melanoma cell lines, we uncover variability in the timing of ferroptosis onset upon…
Golan Carmi · 2025 · Education Sciences
Generative AI technologies are rapidly permeating higher education as innovative tools that support teaching and learning processes. This study investigates the integration of GenAI tools into academic learning and examines their influence on students’ learning effectiveness, attitudes, and satisfaction. A quantitative survey was administered to 485 college students. The findings indicate that students’ attitudes, satisfaction, and accumulated experience with GenAI constitute the most influential factors in promoting effective learning. Perceived advantages and disadvantages also play a substa
Gerui Xu, Shruthi Venkatesha Murthy, Bochen Jia · 2025 · Informatics
As AI decision support systems play a growing role in high-stakes decision making, ensuring effective integration of human intuition with AI recommendations is essential. Despite advances in AI explainability, challenges persist in fostering appropriate reliance. This review explores AI decision support systems that enhance human intuition through the analysis of 84 studies addressing three questions: (1) What design strategies enable AI systems to support humans’ intuitive capabilities while maintaining decision-making autonomy? (2) How do AI presentation and interaction approaches influence
Lihua Liang, Xiaodong Li, Shutong Liu et al. · 2026 · Buildings
This study develops and applies an integrated methodology that combines deep learning-based computer vision and spatial statistics to automate the large-scale identification and analysis of morphological features in vernacular courtyard dwellings. Focusing on Liangshuaixiu dwellings in Wu’an, southern Hebei, we trained an HRNetV2 semantic segmentation model on high-resolution satellite imagery to identify and extract contours for 134,280 courtyard spaces. Core morphological parameters (area, orientation) were calculated and analyzed using GIS spatial statistics and the geographic detector mode
Ruben P. A. van Eijk, Daphne N. Weemering, Sarah Opie-Martin et al. · 2025 · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Objective To characterize the natural history of the revised ALS functional rating scale (ALSFRS-R) over a 24-month period following initial assessment, and to assess its associations with survival.Methods Longitudinal ALSFRS-R…
Émilie Le Rhun, Lakshmi Nayak, Mary Jane Lim-Fat et al. · 2024 · Neuro-Oncology
BACKGROUND: There are no validated tools for the clinical neurological assessment of patients with leptomeningeal metastases (LM). However, clinical examination during the course of the disease guides medical management and is part of response assessment in clinical trials. Because neuroimaging may not always be obtained owing to rapid clinical deterioration, clinical neurological assessment of LM is essential, and standardization is important to minimize rater disagreement. METHODS: The Response Assessment in Neuro-oncology-LM group launched a 2-step process, aiming at improving and standardi
Fhysmélia Firmino de Albuquerque, Rodrigo M. Iost, Frank N. Crespilho · 2025 · ACS Measurement Science Au
The development of enzyme-based bioelectronic devices, including biosensors and biomimetic systems, has significantly advanced with the introduction of innovative materials such as hydrogels, deep eutectic solvents (DES), and ionic liquids (ILs). These materials offer unique advantages in enhancing biodevice performance, particularly in enzyme stabilization, biocompatibility, and electrochemical sensitivity. Hydrogels, known for their high water content and flexibility, provide an ideal matrix for enzyme immobilization in biological applications but are limited by low ionic conductivity. DES,
Gustavo Jimenez‐Maggiora, Arndt‐Peter Schulz, Michael Donohue et al. · 2024 · The Journal of Prevention of Alzheimer s Disease
BACKGROUND: The Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) studies were conducted between 2014 and 2023, with enrollment completed in 2017 and final study results reported in 2023. The study screening process involved the collection of initial clinical, cognitive, neuroimaging, and genetic measures to determine eligibility. Once randomized, enrolled participants were assessed every four weeks over a 4.5-year follow-up period during which longitudinal clinical, cognitive, and neuroimaging measures wer
Qun Xiao, WeiCheng Huang, Yuheng Zhuang et al. · 2025 · Aging Clinical and Experimental Research
BACKGROUND: Stroke is a significant public health issue, with its risk influenced by various metabolic factors. The Cholesterol, High-Density Lipoprotein, Glucose (CHG) index has been identified as a valid stroke predictor. However, the…
Alina Marculetiu, Çiğdem Ataseven, Injazz J. Chen · 2025 · Business Ethics the Environment & Responsibility
ABSTRACT This study investigates the effectiveness of institutional pressures in motivating two contrasting sustainability strategies, symbolic and substantive, and their subsequent impact on the triple bottom line (TBL). Using data from…
Cristina Expósito-Álvarez, Manuel Roldán-Pardo, Gail Gilchrist et al. · 2024 · Psychosocial Intervention
Objective: Intimate partner violence (IPV) perpetrators with alcohol and/or other drug use problems (ADUPs) have been identified as one of the main high-risk and highly resistant groups of perpetrators requiring special attention in…
Solveigh C. Koeberle, Maria Thürmer, Fengting Su et al. · 2025 · Theranostics
: Our study deciphers the structural features of silybin contributing to hepatic lipid remodeling and suggests that silymarin/silybin protects the liver in individuals with mild metabolic dysregulation, involving a lipid class switch from triglycerides to phospholipids, whereas it may be less effective in disease states associated with severe metabolic dysregulation.
Mateja Napravnik, Franko Hržić, Martin Urschler et al. · 2025 · Scientific Reports
Deep learning models require large amounts of annotated data, which are hard to obtain in the medical field, as the annotation process is laborious and depends on expert knowledge. This data scarcity hinders a model's ability to generalise…
Amir Nasrolahi Shirazi, Rajesh Vadlapatla, Ajoy Koomer et al. · 2025 · Pharmaceutics
Selenium nanoparticles (SeNPs) have emerged as promising metal-based nanoparticles for drug delivery due to their unique physicochemical properties, intrinsic bioactivity, and biocompatibility. SeNPs offer a lower toxicity, higher bioavailability, and flexibility to be customized for surface chemistry compared to traditional selenium compounds. Advances in synthetic strategies, including chemical reduction, green biosynthesis, and surface functionalization with polymers, peptides, or ligands, have improved their stability, targeting capability, and circulation time. SeNP-based systems have dem
Pablo Ruiz‐Palomino, Juliana Toro‐Arias, María del Pilar Rodríguez‐Córdoba et al. · 2025 · Business Ethics the Environment & Responsibility
ABSTRACT A supportive ethical culture (EC) can encourage moral behavior among employees and help them avoid wrongdoing. One option for fostering EC is ethics training; its longer‐term effectiveness, however, has rarely been examined,…
Haisheng Zhang, Jiawei Li, Haijing Yan et al. · 2025 · Advanced Materials
Proton exchange membrane water electrolysis (PEMWE) is a promising blueprint for the industrial production of green hydrogen in the short term, but its large-scale deployment is extremely constrained by the high cost and low storage of…
Bekir Enes Koca, Sümeyye Sarıtaş, Mikhaël Bechelany et al. · 2025 · International Journal of Molecular Sciences
Polyphenols are bioactive molecules that occur naturally in plants and exhibit a diverse array of properties, including antioxidant, anti-inflammatory, and anti-obesity effects, all of which have been supported by numerous studies. They are categorized into four main groups: flavonoids, phenolic acids, stilbenes, and lignans. Polyphenols demonstrate a wide range of health-promoting effects throughout human life, from the womb to old age. They can exert these effects by modulating signaling pathways, regulating gut microbiota, influencing gene expression, and regulating epigenetic pathways. Thi
Ming Yi, Tianye Li, Yinhui Gu et al. · 2026 · Nature Communications
Antibodies targeting TGF-β and PD-L1 initially showed promise as second-generation PD-L1 agents. However, consecutive trial failures have limited their clinical success. Our study reveals that the efficacy of the TGF-β×PD-L1 bispecific…