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20,211 real negative results, null findings, and replication failures · Negative / Null Result Report. Search the index →

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record compiled from open scholarly databases; the abstract is shown in full only where the paper is openly licensed, otherwise a short excerpt under fair use. Classifications are automated and approximate.

Negative / Null Result Report

The Acoustic Emission Method Implementation Proposition to Confirm the Presence and Assessment of Reinforcement Quality and Strength of Fiber–Cement Composites

Anna Adamczak-Bugno, Aleksandra Krampikowska · 2020 · Materials

This article proposes to use the acoustic emission (AE) method to evaluate the degree of change in the mechanical parameters of fiber–cement boards. The research was undertaken after a literature review, due to the lack of a methodology…

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Negative / Null Result Report

“What Did She Say? What Did She Say?” the Impact of Interpretation on Recruiting and Interviewing European Migrant Women in the United Kingdom

Mona Almalik, Alice Kiger, Janet Tucker · 2010 · International Journal of Qualitative Methods

Although a few researchers mention that involving interpreters can have an impact on the research process and research findings, little is published regarding methods of assessing the interpretation work's quality and impact. The impact of…

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Negative / Null Result Report

Combining biological and psychosocial baseline variables did not improve prediction of outcome of a very‐low‐energy diet in a clinic referral population

P. Sumithran, K. Purcell, S. Kuyruk et al. · 2017 · Clinical Obesity

Summary Consistent, strong predictors of obesity treatment outcomes have not been identified. It has been suggested that broadening the range of predictor variables examined may be valuable. We explored methods to predict outcomes of a…

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Negative / Null Result Report

Can revenue index insurance outperform yield index insurance?

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…

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Negative / Null Result ReportOpen accessMedicine

The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study

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

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Negative / Null Result ReportOpen accessMedicine

On the Rapid Calculation of Binding Affinities for Antigen and Antibody Design and Affinity Maturation Simulations

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

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Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Accurate prediction of quantitative traits with failed SNP calls in canola and maize

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

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Negative / Null Result Report

Flow Cytometry Method Analysis of Apoptosis

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…

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Negative / Null Result ReportOpen accessMedicine

Effect of the index of cardiac electrophysiological balance on major adverse cardiovascular events in patients with diabetes complicated with coronary heart disease

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)

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Negative / Null Result ReportOpen accessMedicine

Prediction of Radiation-Induced Hypothyroidism Using Radiomic Data Analysis Does Not Show Superiority over Standard Normal Tissue Complication Models

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

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Negative / Null Result ReportOpen accessComputer Science

A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering

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

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Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Use of Beauveria bassiana to control northern fowl mites (Ornithonyssus sylviarum) on roosters in an agricultural research facility.

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,…

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Negative / Null Result ReportOpen accessEarth and Planetary Sciences

A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin

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

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Negative / Null Result Report

No Significant Difference in Cognitive Decline and Mortality between Parkinson’s Disease Dementia and Dementia with Lewy Bodies: Naturalistic Longitudinal Data from the Swedish Dementia Registry

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…

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Negative / Null Result ReportOpen accessMedicine

Antineoplastic Drug Synergy of Artesunate with Navitoclax in Models of High-Grade Serous Ovarian Cancer

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

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Negative / Null Result Report

Molecular phylogeny of Echinodera and Ruteria (Coleoptera:Curculionidae:Cryptorhynchinae) and the parallel speciation of Canary Island weevils along replicate environmental gradients

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…

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Negative / Null Result Report

Significant effect of information placebo on exercise test results in children with normal weight, overweight and obesity

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…

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