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.
697 results in Negative / Null Result Report for "aging" · page 9 of 24
Nelli Tuomola · 2023 · JCEM Case Reports
Abstract The patient is 24-years old male with no previous medical history. He has worked for the last 3 years in the packaging line of Divigel, the estradiol gel of the pharmaceutical company Orion. He sought medical attention 11/2014 due…
Emma Zaal, John Hoeks, Yfke Ongena · 2025 · Journal of Survey Statistics and Methodology
Abstract Social Desirability Bias (SDB), providing a favorable image of oneself in self-reports, is a persistent problem in survey research on sensitive topics. However, face-saving approaches appear promising in discouraging SDB.…
Bahadır Kartal, Mehmet Berksun Tutan, Fatih Şahin et al. · 2024 · Hitit Medical Journal
Objective: Gastric cancer surgery, including curative and palliative procedures, is crucial for managing gastric cancer. Accurate assessment of nutritional status is essential for risk stratification and improving patient outcomes. This…
Noble Charles, Nilkanth Pal, Jeevan Vernekar · 2025 · African Journal of Urology
Abstract Background The radiologist faces the dilemma of characterizing adrenal lesions, especially in oncology patients, as this finding can alter the patient’s management and prognosis. The objectives of this study were (1) to evaluate…
Xianglong Tan, Matteo Pellegrini, Su Yon Jung · 2026 · Clinical Epigenetics
Abstract Background Epigenetic aging bridges the gap between biological and chronological age by exploiting DNA methylation (DNAm) patterns. Over the past decade, successive DNAm-based clocks have been introduced, beginning with the…
Zhaoying Li, Shanyu Liu, Yuling Shen et al. · 2025 · Frontiers in Neuroscience
BackgroundAbnormalities in brain activity patterns during episodic memory tasks have been inconsistently reported in amnestic mild cognitive impairment (aMCI) patients using functional magnetic resonance imaging (fMRI). This study applied traditional Chinese medicine (TCM) syndrome differentiation to categorize aMCI patients into distinct subgroups, aiming to clarify the neural mechanisms underlying their cognitive profiles.MethodsParticipants included aMCI patients categorized into the turbid phlegm clouding the orifices (PCO) or spleen-kidney deficiency (SKD) syndrome subgroups, alongside co
Thula Cannon Walter-Rittel, Boris Gorodetski, Alexander Hartenstein et al. · 2026 · Current Oncology
Background: The use of [68Ga]Ga-PSMA-PET/CT for prostate cancer (PCa) staging is limited by cost and availability. This study evaluates whether radiomic features from contrast-enhanced (CE) CT can predict PSMA-positive lymph nodes (LNs) as…
Nativ Henkin, Ifat Karilker, Sergio L. Kobal et al. · 2023 · Journal of Clinical Medicine
Echocardiographic stress tests are often used to evaluate patients who complain of chest pain. However, some patients fail to reach the target heart rate required for the test to be conclusive (usually defined as 85% of the predicted…
Il‐Young Kim, Scott Schutzler, Nicolaas Deutz et al. · 2014 · The FASEB Journal
A reduction in nitric oxide (NO) bioavailability that impairs peripheral blood flow regulation is a natural consequence of aging. Therefore , we investigated the effect of ingestion of citrulline, the precursor of arginine, on de novo…
Y. S. Kudryavtsev, M. M. Beregov, A. B. Berdalin et al. · 2021 · Вестник рентгенологии и радиологии
Objective: to compare the results of staging the severity of viral pneumonia in patients with COVID-19 based on the results of chest computed tomography (CT) using the empirical visual scale CT 0–4 and chest CT severity score (CT-SS) point scale, as well as to assess their prognostic value.Material and methods. Chest CT scans and anamnestic data in patients hospitalized to a non-specialized center repurposed for the treatment of new coronavirus infection, were analyzed. Chest CT analysis was performed by two radiologists using CT 0–4 and CT-SS scales.Results. The time course of changes in the
Bobbie Call, null null, null null et al. · 2020 · John Heinrichs Scholarly & Creative Activities Day
Mental health stigma is prevalent and many people are affected all around the world (Watson, 2002). Stigma often prevents individuals with a mental illness from engaging in typical life routines (Corrigan, 2004). Individuals of ethnic…
Michelle Storey, null null, null null et al. · 2020 · John Heinrichs Scholarly & Creative Activities Day
Bisphenol A (BPA) is a ubiquitous raw material used in the production of many everyday things such as food packaging and baby bottles. While there have been many studies about the effect that this can have on water and animals, there are…
Dorothy Ochs, null null, null null et al. · 2022 · John Heinrichs Scholarly & Creative Activities Day
Purpose: The purpose of this poster is to explore various types of discussion formats in order to find ones that keep the students thoughtfully engaged and motivated. • Methods: The poster will compare and contrast several different types…
Zeren G, Bakır EO, Tufaro V et al. · 2026 · Journal of cardiovascular development and disease
Intravascular imaging (IVI) was introduced 35 years ago to assess coronary artery pathology and plaque vulnerability. However, from its first applications it became apparent that it can also be useful in percutaneous coronary intervention…
Anna Prucnal · 2025 · International Journal of Business & Management Studies
This study examines the effectiveness of the monetary policy of the European Central Bank (ECB) in managing inflation in the Euro Area compared to the independent monetary policy of seven European Union Member States outside the Economic…
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang · 2024 · arXiv
This study addresses the critical challenge of error accumulation in spatio-temporal auto-regressive (AR) predictions within scientific machine learning models by exploring temporal integration schemes and adaptive multi-step rollout strategies. We introduce the first implementation of the two-step Adams-Bashforth method specifically tailored for data-driven AR prediction, leveraging historical derivative information to enhance numerical stability without additional computational overhead. To validate our approach, we systematically evaluate time integration schemes across canonical 2D PDEs be
Xu Ma, Jiajie Zhang, Fujing Xie et al. · 2025 · arXiv
Global localization is essential for autonomous robotics, especially in indoor environments where the GPS signal is denied. We propose a novel WiFi-based localization framework that leverages ubiquitous wireless infrastructure and the OpenStreetMap Area Graph (osmAG) for large-scale indoor environments. Our approach integrates signal propagation modeling with osmAG's geometric and topological priors. In the offline phase, an iterative optimization algorithm localizes WiFi Access Points (APs) by modeling wall attenuation, achieving a mean localization error of 3.79 m (35.3\% improvement over tr
Ciana Bowhay, Michael Nattrass · 2026 · NACTA Journal
Undergraduate students in agriculture often struggle to connect theoretical course concepts with real-world agricultural practices. Additionally, with expanding digitalization of professional markets, building a professional online…
· 2025 · International Journal of Medicine and Medical Research
Lifestyle-related disorders, particularly diabetes, pose a significant global health challenge. Diabetic macular oedema, a microvascular complication, highlights the importance of managing insulin resistance and hyperlipidaemia for optimal…
· 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
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
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…
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
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…
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