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.
20217 results in Negative / Null Result Report · page 155 of 674
Jack W. O’Sullivan, John P. A. Ioannidis · 2021 · Scientific Reports
Abstract With the establishment of large biobanks, discovery of single nucleotide variants (SNVs, also known as single nucleotide polymorphisms (SNVs)) associated with various phenotypes has accelerated. An open question is whether…
Richard A. Gallenstein, John P. Dougherty · 2024 · American Journal of Agricultural Economics
Abstract Index insurance programs in developing countries have focused almost entirely on agricultural production risk (i.e., yield) while largely avoiding output marketing risk (i.e., price). This omission may miss an important constraint…
Surya Prakash, Aritra Das, Sidrat Tasawoor Kanth et al. · 2021 · Cerebral Cortex
Local field potentials (LFPs) in visual cortex are reliably modulated when the subject's focus of attention is cued into versus out of the receptive field of the recorded sites, similar to modulation of spikes. However, human psychophysics…
Amira Soliman, Björn Agvall, Kobra Etminani et al. · 2023 · Journal of Medical Internet Research
BACKGROUND: Sensitive and interpretable machine learning (ML) models can provide valuable assistance to clinicians in managing patients with heart failure (HF) at discharge by identifying individual factors associated with a high risk of readmission. In this cohort study, we delve into the factors driving the potential utility of classification models as decision support tools for predicting readmissions in patients with HF. OBJECTIVE: The primary objective of this study is to assess the trade-off between using deep learning (DL) and traditional ML models to identify the risk of 100-day readmi
William R. Cleek, Nicholas J. Johnson, Bjorn Watsjold et al. · 2019 · Shock
STUDY OBJECTIVE: The quick sequential organ failure assessment (qSOFA) was proposed to identify infected patients at risk for mortality, an indication of sepsis, in nonintensive care unit settings. This study tests whether qSOFA improves…
Simone Conti, Edmond Y. Lau, Victor Ovchinnikov · 2022 · Antibodies
The accurate and efficient calculation of protein-protein binding affinities is an essential component in antibody and antigen design and optimization, and in computer modeling of antibody affinity maturation. Such calculations remain challenging despite advances in computer hardware and algorithms, primarily because proteins are flexible molecules, and thus, require explicit or implicit incorporation of multiple conformational states into the computational procedure. The astronomical size of the amino acid sequence space further compounds the challenge by requiring predictions to be computed
Hailey Miller, Sandy Askew, Miriam B. Berger et al. · 2024 · Hypertension
BACKGROUND: Dietary Approaches to Stop Hypertension (DASH) is a recommended first-line treatment for adults with hypertension, yet adherence to DASH is low. To evaluate the efficacy of a digital health intervention (DHI), compared with…
Sven E. Weber, Harmeet Singh Chawla, Lennard Ehrig et al. · 2023 · Frontiers in Plant Science
In modern plant breeding, genomic selection is becoming the gold standard to select superior genotypes in large breeding populations that are only partially phenotyped. Many breeding programs commonly rely on single-nucleotide polymorphism (SNP) markers to capture genome-wide data for selection candidates. For this purpose, SNP arrays with moderate to high marker density represent a robust and cost-effective tool to generate reproducible, easy-to-handle, high-throughput genotype data from large-scale breeding populations. However, SNP arrays are prone to technical errors that lead to failed al
Xiao-yan Xu, Xiao-cui Nie, Hai-ying Ma et al. · 2014 · Technology in Cancer Research & Treatment
Flow cytometry method (FCM) is a generally accepted tool to analyze apoptosis. Although apoptosis assay kit was applied by many companies, the manufacturers were not consistent with whether using Trypsin with EDTA to collect the adherent…
Yuan Lin, Fang Zhou, Xihui Wang et al. · 2023 · PeerJ
Purpose: To investigate the prognostic value of the index of cardio-electrophysiological balance (ICEB) and its association with major adverse cardiac events (MACE) and cardiovascular death in diabetic patients complicated with coronary heart disease. Methods: A total of 920 diabetic patients were enrolled in this longitudinal study. Participants were categorized into three groups based on their ICEB levels: normal ICEB, low ICEB, and high ICEB. The primary outcome was the occurrence of MACE, and secondary outcomes included cardiovascular death, coronary heart disease (CHD), heart failure (HF)
Urszula Smyczyńska, Szymon Grabia, Zuzanna Nowicka et al. · 2021 · Cancers
State-of-art normal tissue complication probability (NTCP) models do not take into account more complex individual anatomical variations, which can be objectively quantitated and compared in radiomic analysis. The goal of this project was development of radiomic NTCP model for radiation-induced hypothyroidism (RIHT) using imaging biomarkers (radiomics). We gathered CT images and clinical data from 98 patients, who underwent intensity-modulated radiation therapy (IMRT) for head and neck cancers with a planned total dose of 70.0 Gy (33–35 fractions). During the 28-month (median) follow-up 27 pat
Eisha Hassan, Fazila‐Tun‐Nesa Malik, Qazi Waqas Khan et al. · 2025 · IEEE Access
Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. While famous for its simplicity, the most commonly used algorithm, K-Means, suffers from issues such as finding the optimal value for k and random initialization of the centroids. In this paper, we propose a hybrid methodology combining K-Means++ with the metaheuristic algorithm PSO to overcome the challenges of both these algorithms. K-Means++ is a smart initialization technique that selects clusters based on probabili
Matthew S W Rassette, Elizabeth I. Pierpont, Tina Wahl et al. · 2011 · PubMed
Treatment of Northern fowl mite (Ornithonyssus sylviarum) infestation on poultry in research facilities can be challenging. The mite has a rapid reproductive cycle (egg to adult in 5 to 7 d), and chemical treatments can be toxic to birds,…
Mohammed Abdallah, Ke Zhang, Lijun Chao et al. · 2024 · Hydrology and earth system sciences
Abstract. Precipitation is a vital key element in various studies of hydrology, flood prediction, drought monitoring, and water resource management. The main challenge in conducting studies over remote regions with rugged topography is that weather stations are usually scarce and unevenly distributed. However, open-source satellite-based precipitation products (SPPs) with a suitable resolution provide alternative options in these data-scarce regions, which are typically associated with high uncertainty. To reduce the uncertainty of individual satellite products, we have proposed a D-vine copul
Seyed-Mohammad Fereshtehnejad, Johan Lökk, Anders Wimo et al. · 2018 · Journal of Parkinson’s Disease
Background: Whether dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD) are distinct disorders or two subtypes of the same entity, is not yet fully understood. There is a dearth of knowledge on differences in…
J. Robert McCorkle, Rebecca Ahn, Connie D. Cao et al. · 2024 · Cancers
) known as artemisinins. Artesunate has traditionally been used as a frontline treatment for severe malaria but has also demonstrated antineoplastic activity against various malignancies, including ovarian cancer. Data suggest that artesunate exacerbates cellular oxidative stress, triggering apoptosis. In the current study, we investigated the ability of navitoclax, an inhibitor of the antiapoptotic Bcl-2 protein family, to enhance artesunate efficacy in ovarian cancer cells. Artesunate and navitoclax both demonstrated antiproliferative effects on 2D and 3D ovarian cancer cell models as single
Jonas J. Astrin, Peter E. Stüben · 2010 · Invertebrate Systematics
A molecular phylogeny for the western Palaearctic weevil genus Echinodera Wollaston, 1863 and the former genus Ruteria Roudier, 1954 is presented, combining two mitochondrial genes (CO1 and 16S) in a Bayesian analysis. Special…
Federico de Gregorio, Kasey Windels · 2020 · Journal of Advertising
This exploratory research tests two competing general predictions: the expert-performance literature predicting creatives will demonstrate greater creativity than others while the process-performance paradox literature predicting they will…
Andrea Asperti, Franky George, Tiberio Marras et al. · 2025 · Big Data and Cognitive Computing
In recent years, advancements in generative artificial intelligence have led to the development of sophisticated tools capable of mimicking diverse artistic styles, opening new possibilities for digital creativity and artistic expression.…
Ellen J. Serafini · 2019 · Language Teaching
Abstract Research conducted over the past 15–20 years has revealed significant insights into the nature and role of learner selves in language learning settings, particularly the importance of considering the interaction between situated…
Maryam Karimi, Mazaher Khodabandehloo, Bahram Nikkhoo et al. · 2016 · PubMed
Background and Objective: Any role of human papillomavirus (HPV) in the development of breast cancer is conjectural. The aim of this study was to investigate possible links between HPV and breast cancer in women, Sanandaj, Iran. Methods:…
Claus Thorn Ekstrøm, Bendix Carstensen · 2024 · The International Journal of Biostatistics
Abstract Agreement between methods for quantitative measurements are typically assessed by computing limits of agreement between pairs of methods and/or by illustration through Bland–Altman plots. We consider the situation where the…
LI-HSIOU CHEN, Kuo-Liang Chiu, Te‐Chun Hsia et al. · 2020 · In Vivo
BACKGROUND/AIM: Matrix metalloproteinase 2 (MMP2) is reported to be overexpressed in asthma; however, its genotypic contribution to asthma is not well studied. Therefore, we examined the association of MMP2 genotypes with asthma risk among…
Iván Chérrez-Ojeda, Marcus Maurer, Miguel Félix et al. · 2021 · World Allergy Organization Journal
BackgroundFew studies have explored the association between obstructive sleep apnea (OSA) and chronic urticaria (CU). Our study aims to fill this gap by determining the frequency of the risk categories for OSA and how they might correlate…
Peter N. Chalmers · 2019 · Arthroscopy
Abstract The optimal surgical technique for arthroscopic rotator cuff repair remains controversial, with advantages and disadvantages to each of the most commonly used methods. The pattern as well as number of suture anchors relative to…
Shira Fanti‐Oren, Daphna Birenbaum‐Carmeli, Dan Nemet et al. · 2019 · Acta Paediatrica
Abstract Aim The aim of the study was to examine the effect of information placebo on fitness test results in normal weight, overweight and obese children. Methods Twenty‐four pre‐pubertal children with overweight or obesity and 24 age and…
Natsu Sasaki, Reiko Kuroda, Kanami Tsuno et al. · 2022 · Neuropsychopharmacology Reports
Abstract Objectives This study aimed to examine the effectiveness of vaccination to improve mental health among employees in Japan based on a prospective study. Methods The data were retrieved from the Employee Cohort Study conducted…
Janet Quint, Pei Zhu, Rekha Balu et al. · 2015 · SSRN Electronic Journal
Success for All (SFA) combines a challenging elementary reading program, whole-school reform elements, and an emphasis on continuous improvement. In 2010, the Success for All Foundation (SFAF) received a scale-up grant under the U.S.…
Diane Pecher, Heleen van Mierlo, Rouwen Cañal‐Bruland et al. · 2015 · Journal of Experimental Psychology General
Slepian, Masicampo, Toosi, and Ambady (2012, Experiment 1) reported that participants who recalled a big secret estimated a hill as steeper than participants who recalled a small secret. This finding was interpreted as evidence that…
Nikoletta Symeonidou, Beatrice G. Kuhlmann · 2021 · Cognition & Emotion
Emotion-enhanced memory (EEM) describes the robust memory advantage of emotional over non-emotional stimuli. While extensively investigated with emotional items, it is unclear whether the EEM effect extends to source memory for a neutral…