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.
757 results for "aging" · page 10 of 26
W Reay · 2025 · International Journal of Neuropsychopharmacology
Abstract Background One mechanism that holds great promise to drive drug development or drug repurposing in schizophrenia is through leveraging human genetics. Recent retrospective analyses of decades of clinical trial data have…
Nikhil N. Verma · 2016 · Arthroscopy
Abstract Identification of symptomatic long head biceps pathology continues to be a clinical challenge. Magnetic resonance imaging may fail to identify symptomatic lesions when present. Clinicians must maintain a high index of suspicion,…
Valerie Keller · 2023 · Frontiers in Sociology
This article explored the ways in which living with dementia brings potentials to queer the concept of “successful aging” and associated notions of being human. Regarding the progressive development of dementia, it can be assumed that…
Ariane Kovac · 2024 · AЯGOS
Divine healing is an emotionally and theologically conflictive field where actors communicate positions and draw boundaries by engaging in certain practices and renouncing others. In this article, I analyse how a progressive evangelical…
· 2025 · European Journal of Clinical Pharmacy
Pediatric nephrolithiasis is an increasing concern and often requires complete stone clearance due to high recurrence risk. Managing large renal stones (>2 cm), lower calyceal stones (>1 cm), and stones refractory to Extracorporeal Shock…
Uchechi Vanessa Alintah-Abel, Francisca Nkachukwu Okeke, Eucharia Chika Enebe · 2025 · British Journal of Multidisciplinary and Advanced Studies
The goal of most countries is the desire to maintain a stable price level of goods and services. This however, appears to be an uphill task given the incidence of subsidy removal that is presently ravaging the developing economies of the…
Tim Gould · 2012 · arXiv
The "ACFD-RPA" correlation energy functional has been widely applied to a variety of systems to successfully predict energy differences, and less successfully predict absolute correlation energies. Here we present a parameter-free exchange-correlation kernel that systematically improves absolute correlation energies, while maintaining most of the good numerical properties that make the ACFD-RPA numerically tractable. The "RXH" kernel is constructed to approximate the true exchange kernel via a carefully weighted, easily computable radial averaging. Correlation energy errors of atoms with two t
John T. Holodnak, Allan B. Wollaber · 2021 · arXiv
Multiple techniques for producing calibrated predictive probabilities using deep neural networks in supervised learning settings have emerged that leverage approaches to ensemble diverse solutions discovered during cyclic training or training from multiple random starting points (deep ensembles). However, only a limited amount of work has investigated the utility of exploring the local region around each diverse solution (posterior mode). Using three well-known deep architectures on the CIFAR-10 dataset, we evaluate several simple methods for exploring local regions of the weight space with re
Zhen Xuen Brandon Low, Rory Zhang, Hang Min et al. · 2025 · arXiv
Enlarged perivascular spaces (PVS) are increasingly recognized as biomarkers of cerebral small vessel disease, Alzheimer's disease, stroke, and aging-related neurodegeneration. However, manual segmentation of PVS is time-consuming and subject to moderate inter-rater reliability, while existing automated deep learning models have moderate performance and typically fail to generalize across diverse clinical and research MRI datasets. We adapted MedNeXt-L-k5, a Transformer-inspired 3D encoder-decoder convolutional network, for automated PVS segmentation. Two models were trained: one using a homog
Gonzalez W, Isla J, Barba D et al. · 2026 · Journal of ISAKOS : joint disorders & orthopaedic sports medicine
Background Anterior tibial translation (ATT) measured on magnetic resonance imaging (MRI) is a reproducible marker of anterior cruciate ligament (ACL) deficiency. However, its longitudinal evolution after ACL reconstruction (ACLR) and its…
Arjun D. Desai, Francesco Caliva, Claudia Iriondo et al. · 2020 · arXiv
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression. Methods: A dataset partition consisting of 3D knee MRI from 88 subjects at two timepoints with ground-truth articular (femoral, tibial, patellar) cartilage and meniscus segmentations was standardized. Challenge submissions and a majority-vote ensemble were evaluated using Dice score, average symmetric surface distance, volumetric overlap error, and coefficient of variation on a hold-out test set. Simil
Bayar E, Cengiz T, Erdoğan F et al. · 2026 · BMC geriatrics
BACKGROUND: Hip fractures represent a major public health concern due to their increasing incidence in the aging population and their association with significant morbidity and mortality. Comorbidities are known to complicate both the…
Ozden Sertcelik U, Turker M, Sertcelik A et al. · 2026 · Medicina (Kaunas, Lithuania)
Background and Perspectives : Obstructive sleep apnea (OSA) is a prevalent condition associated with increased perioperative risks. Endobronchial ultrasound (EBUS), a diagnostic and staging procedure requiring deep sedation, may pose…
Jan Tiemann, Matthew McGinity, Ulrik Günther · 2026 · arXiv
In contemporary biology and medicine, 3D microscopy is one of the most widely-used techniques for imaging and manipulation of various kinds of samples. Navigating such a micrometer-sized, 3-dimensional sample under the microscope -- e.g. to find relevant imaging regions -- can pose a tedious challenge for the experimenter. In this paper, we examine whether 2D desktop, 3D desktop, or Virtual Reality (VR) interfaces provide the best user experience and performance for the exploration of 3D samples. We invited 12 skilled microscope operators to perform two different exploration tasks in 2D, 3D an
Jose A. Rivera, Carmen E. Gonzalez, Tonita Bates · 2024 · JCO Oncology Practice
327 Background: Delayed assessment of diagnostic imaging (DI) significant actionable findings (AFs) at an oncological center prompted the creation of a safety net system which used technological advancements to improve communication…
Santos S, Palma-Moreira A, Dias I · 2025 · Preprint
This study aimed to examine the effect of public policies on talent retention in the Portuguese Public Administration and whether the participants' managerial status moderates this relationship. A total of 282 individuals, active workers…
Dias CS Jr, Verona AP, Leocádio V · 2026 · Journal of religion and health
This study examines the relationship between religious denomination, religious attendance, and mammography screening among White and Black women in Brazil, using baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil,…
Laughlin M, Jack JT, Stephens SE et al. · 2026 · PloS one
Intracardiac flow analysis aims to evaluate blood flow patterns and associated parameters for the assessment of cardiac function. However, there is limited understanding as to how flow parameters are influenced by various sources, such as…
Louis Jalouzot, Alexis Thual, Yair Lakretz et al. · 2025 · arXiv
We investigate optimal strategies for decoding perceived natural speech from fMRI data acquired from a limited number of participants. Leveraging Lebel et al. (2023)'s dataset of 8 participants, we first demonstrate the effectiveness of training deep neural networks to predict LLM-derived text representations from fMRI activity. Then, in this data regime, we observe that multi-subject training does not improve decoding accuracy compared to single-subject approach. Furthermore, training on similar or different stimuli across subjects has a negligible effect on decoding accuracy. Finally, we fin
Hoon OH, Leung SY, Ko TY et al. · 2026 · Cureus
Background and purpose Contrast-enhanced mammography (CEM) has emerged as a valuable imaging modality for breast cancer detection and management. Background parenchymal enhancement (BPE) reflects the level of normal glandular tissue…
Jang M, Kwon S · 2026 · Preprint
Abstract Background The WTO TRIPS flexibilities serve as a health safeguard that protects access to medicines (ATM) by allowing flexibility in pharmaceutical patents. Engaging with state and capital powers, civil society organizations…
V. Oliveira, R. B. D. Silva, A. Veloso et al. · 2024 · Semina: Ciências Agrárias
The objective of this study was to compare the response of Urochloa decumbens cv. Basilisk pastures in monoculture and silvopastoral systems (SPS), and to determine the most suitable pre-defoliation canopy height for managing this species…
Mc Caughey, Gustainis, Ambrosio et al. · 2026 · Ultrasound quarterly
This study evaluates whether contrast-enhanced ultrasound (CEUS) serves as an effective next-step imaging modality for patients with end-stage renal disease (ESRD) who have indeterminate renal lesions on computed tomography (CT), assessing…
Ramezani A, Rahimi S, Soltani A et al. · 2026 · Preprint
Abstract Background : Chronic pain is highly prevalent among older adults and has been shown to be associated with differences in cognitive function. While pain intensity reflects the severity of pain, pain interference assesses the extent…
Orhan B, Nauta M · 2026 · Death studies
Meaning Management Theory suggests that engaging with meaning-related resources helps individuals constructively regulate consciously experienced death anxiety. Consistent with that theory, we tested whether a single-session, online…
Karlin NJ · 2026 · Psychological reports
Given the unique challenges faced by frontier aging older adults, such as limited access to healthcare and social services, the potential for different functional disabilities as compared to rural older adults exists. By comparing frontier…
Felix Krejca, Tobias Kietreiber, Alexander Buchelt et al. · 2025 · arXiv
The increasing volume of online discussions requires advanced automatic content moderation to maintain responsible discourse. While hate speech detection on social media is well-studied, research on German-language newspaper forums remains limited. Existing studies often neglect platform-specific context, such as user history and article themes. This paper addresses this gap by developing and evaluating binary classification models for automatic content moderation in German newspaper forums, incorporating contextual information. Using LSTM, CNN, and ChatGPT-3.5 Turbo, and leveraging the One Mi
Sabri H, Baniameri S, Kataria P et al. · 2026 · Journal of periodontology
Background Periodontitis, a chronic inflammatory disease, is linked to systemic conditions such as cardiovascular and kidney disease. Serum α-Klotho, an anti-aging protein with anti-inflammatory properties, has been associated with…
Weronika Ormaniec, Michael Vollenweider, Elisa Hoskovec · 2025 · arXiv
In this paper, we explore the idea of combining GCNs into one model. To that end, we align the weights of different models layer-wise using optimal transport (OT). We present and evaluate three types of transportation costs and show that the studied fusion method consistently outperforms the performance of vanilla averaging. Finally, we present results suggesting that model fusion using OT is harder in the case of GCNs than MLPs and that incorporating the graph structure into the process does not improve the performance of the method.
Mohamad A. Alanbari, Mohamad A. Alanbari, Hebah M. Hamdan et al. · 2024 · Frontiers in Pediatrics
Background/AimManaging young children with negative behaviors can be challenging in dental settings. Moderate sedation (MS) is often used as a treatment option for such children. However, children's behavior during MS may vary depending on several variables. These variables include parental factors, such as parental anxiety, coping strategies, and pain catastrophizing. However, this area, particularly in Saudi Arabia, remains underexplored. Therefore, this study aimed to assess the association among parental anxiety, coping style, pain catastrophizing, and children's behavior during MS among S