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Failure-mode index

Search what already failed

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.

19871 results in Negative / Null Result Report · page 432 of 663

Negative / Null Result Report

PERBANDINGAN STEGANOGRAFI METODE LEAST SIGNIFICANT BIT+3 (LSB+3) DENGAN MOST SIGNIFICANT BIT (MSB)

Jatrya , Sampe Hotlan Sitorus , Uray Ristian · 2020 · Coding Jurnal Komputer dan Aplikasi

Citra telah diterapkan dalam kehidupan sehari-hari. Penerapannya pada bidang kesehatan, pendidikan, hiburan,seni, hukum, dan bisnis. Citra dapat disisipkan pesan rahasia. Penyisipan tersebut disebut sebagai teknik steganografi. Teknik…

View details →DOI: 10.26418/coding.v8i1.39195
Negative / Null Result Report

Assessing the Effect of Subsidy Removal on Cost- Significant Material and Labour within Anambra State Construction Economy

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…

View details →DOI: 10.37745/bjmas.2022.04253
Negative / Null Result Report

Effect of Broadness of Wave Spectrum on Significant Wave Height and Wave Power for Open Ocean Conditions of the Peru Basin

Dennys De La Torre, Jaime Luyo, Arturo Ortega · 2024 · Journal of Offshore Mechanics and Arctic Engineering

Abstract When estimating significant wave height and wave power, it is regularly assumed 4 for the spectral estimate factor. It means considering a narrowband wave spectrum. That approach is accurate enough when the spectral broadness…

View details →DOI: 10.1115/1.4064501
Negative / Null Result ReportOpen accessPhysics

Oligopeptides' frequencies in the classification of proteins' primary structures

P. Sirabella, A. Giuliani, A. Colosimo · 1998 · arXiv

This paper reports about an approach to the classification of proteins' primary structures taking advantage of the Self Organizing Maps algorithm and of a numerical coding of the aminoacids based upon their physico-chemical properties. Hydrophobicity, volume, surface area, hydrophilicity, bulkiness, refractivity and polarity were subjected to a Principal Component Analysis and the first two principal components, explaining 84.8 % of the total observed variability, were used to cluster the aminoacids into 4 or 5 classes through a k-means algorithm. This leads to an economical representation of

Negative / Null Result Report

ANALISIS PENDIDIKAN KARAKTERISTIK AKHLAK ANAK USIA SD/MI DI ERA SOCIETY 5.0

Indriani Indriani, Astrid Putri Pratiwi, Jauhara Jauhara et al. · 2023 · SIGNIFICANT : Journal Of Research And Multidisciplinary

Upaya menanamkan perilaku yang baik, mulia pada anak merupakan pendidikan karakter pada anak usia dini. Lingkungan dimana anak berada dapat menjadi bagian dari pendidikan karakter anak. Keluarga adalah lingkungan pertama bagi anak sehingga…

View details →DOI: 10.62668/significant.v1i02.650
Negative / Null Result Report

Abstract 4138602: Effect of Left Ventricular Ejection Fraction On Computed Tomography-Derived Fractional Flow Reserve Diagnostic Accuracy For Significant Coronary Artery Disease

Offdan Narvaez-Guerra, Evan Offord, Mawulorm Denu et al. · 2024 · Circulation

Background: Coronary Computed Tomography Angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR) accurately assess the severity of coronary artery disease. However, the diagnostic accuracy of CT-FFR in patients with low left…

View details →DOI: 10.1161/circ.150.suppl_1.4138602
Negative / Null Result ReportOpen accessPhysics

Doping and Defect-Induced Germanene: A Superior Media for Sensing H2S, SO2, and CO2 gas molecules

Md Monirojjaman Monshi, Sadegh Mehdi Aghaei, Irene Calizo · 2017 · arXiv

First-principles calculations based on density functional theory (DFT) have been employed to investigate the structural, electronic, and gas-sensing properties of pure, defected, and doped germanene nanosheets. Our calculations have revealed that while a pristine germanene nanosheet adsorbs CO2 weakly, H2S moderately, and SO2 strongly, the introduction of vacancy defects increases the sensitivity significantly which is promising for future gas-sensing applications.Mulliken population analysis imparts that an appreciable amount of charge transfer occurs between gas molecules and a germanene nan

Negative / Null Result Report

Abstract LB-243: microRNA mimics: siRNA lessons apply. miRNA mimics exhibit a significant off-target effect that is cell-line, length and dose dependent.

Mae A. Goldgraben, Anna Git, Oscar Rueda et al. · 2013 · Cancer Research

Abstract In light of the great success of siRNA reagents in modern research, similar reagents have also become increasingly popular to study miRNAs in cancer biology. To explore the endogenous function of a particular miRNA in fine-tuning…

View details →DOI: 10.1158/1538-7445.am2013-lb-243
Negative / Null Result ReportOpen accessComputer Science

Diving Deep into Context-Aware Neural Machine Translation

Jingjing Huo, Christian Herold, Yingbo Gao et al. · 2020 · arXiv

Context-aware neural machine translation (NMT) is a promising direction to improve the translation quality by making use of the additional context, e.g., document-level translation, or having meta-information. Although there exist various architectures and analyses, the effectiveness of different context-aware NMT models is not well explored yet. This paper analyzes the performance of document-level NMT models on four diverse domains with a varied amount of parallel document-level bilingual data. We conduct a comprehensive set of experiments to investigate the impact of document-level NMT. We

Negative / Null Result ReportOpen accessComputer Science

NLP Techniques for Water Quality Analysis in Social Media Content

Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad et al. · 2021 · arXiv

This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia". The task aims at analyzing social media posts relevant to water quality with particular focus on the aspects like watercolor, smell, taste, and related illnesses. To this aim, a multimodal dataset containing both textual and visual information along with meta-data is provided. Considering the quality and quantity of available content, we mainly focus on textual information by employing three different models individually and jointly in a late-fusion manner. These models includ

Negative / Null Result Report

A Bayesian Hierarchical Approach to Quasi-Replicate Dataset Modelling

Hassan M. Aljohani, Robert G. Aykroyd · 2025 · Mathematics

It is very common for multiple experiments to be conducted under non-identical but similar conditions, perhaps because of implementation errors, natural variability in experimental material, or gradual drifting of experimental conditions.…

View details →DOI: 10.3390/math13111751
Negative / Null Result ReportOpen accessMathematics

Obstructions for automorphic quasiregular maps and Lattès-type uniformly quasiregular maps

Ilmari Kangasniemi · 2019 · arXiv

Suppose that $M$ is a closed, connected, and oriented Riemannian $n$-manifold, $f \colon \mathbb{R}^n \to M$ is a quasiregular map automorphic under a discrete group $Γ$ of Euclidean isometries, and $f$ has finite multiplicity in a fundamental cell of $Γ$. We show that if $Γ$ has a sufficiently large translation subgroup $Γ_T$, then $\dim Γ\in \{0, n-1, n\}$. If $f$ is strongly automorphic and induces a non-injective Lattès-type uniformly quasiregular map, then the same holds without the assumption on the size of $Γ_T$. Moreover, an even stronger restriction holds in the Lattès case if $M$ is

Negative / Null Result Report

Failure to replicate the Aubert-Fleischl effect

Björn Jörges, Laurence R. Harris · 2025 · PLOS One

For many years the accepted wisdom in vision science has been that humans tend to underestimate the speed of an object when they pursue it with their gaze in comparison to when they fixate a spot in the visual scene and the object moves…

View details →DOI: 10.1371/journal.pone.0324420
Negative / Null Result Report

Can Public Information Replicate Institutional Bond Price Vendors?

Erik Huesca Burela · 2026 · Revista Mexicana de Economía y Finanzas

This paper aims to determine whether a transparent, vendor-style bond pricing framework built exclusively from public information can match the pricing accuracy of institutional vendors. The methodology constructs Treasury-based yield…

View details →DOI: 10.21919/remef.v21i2.1430
Negative / Null Result ReportOpen accessComputer Science

Charm-quark Yukawa Coupling in $h\rightarrow c\bar{c}γ$ at LHC

Tao Han, Benjamin Nachman, Xing Wang · 2018 · arXiv

It is extremely challenging to probe the charm-quark Yukawa coupling at hadron colliders primarily due to the large Standard Model (SM) background (including $h\to b\bar b$) and the lack of an effective trigger for the signal $h\to c\bar c$. We examine the feasibility of probing this coupling at the LHC via a Higgs radiative decay $h\rightarrow c\bar{c}γ$. The existence of an additional photon in the final state may help for the signal identification and background suppression. Adopting a refined triggering strategy and utilizing basic machine learning, we find that a coupling limit of about 8

Negative / Null Result Report

¿QUÉ HICIMOS EN ESPAÑA PARA MEJORAR NÚMERO Y CALIDAD DE LOS TRASPLANTES?

FRANCISCO JAVIER BURGOS REVILLA · 2025 · Boletín Academia Chilena de Medicina

Organ transplantation (Tx) has an impact on global health. Although the number of Tx has in- creased in Spain and the USA, accessibility varies significantly between countries. The evolution of donation and Tx in Spain is analyzed, as well…

View details →DOI: 10.69700/antmxj53
Negative / Null Result ReportOpen accessComputer Science

The ATLAS discovery potential for a heavy charged Higgs boson in gg->tbH^{+-} with H^{+-}->tb

K. A. Assamagan, N. Gollub · 2004 · arXiv

The feasibility of detecting a heavy charged Higgs boson, m(H^{+-})>m(t)+m(b), decaying in the H^{+-}->tb channel is studied with the fast simulation of the ATLAS detector. We study the gg->H^{+-}tb production process at the LHC which together with the aforementioned decay channel leads to four b-quarks in the final state. The whole production and decay chain reads gg->H^{+-}tb->t\bar{t}b\bar{b}->b\bar{b}b\bar{b}lν\bar{q}q'. Combinatorial background is a major difficulty in this multi-jet environment but can be overcome by employing multivariate techniques in the event reconstruction. Requirin

Negative / Null Result Report

The over-representation of phonological features in basic vocabulary doesn’t replicate when controlling for spatial and phylogenetic effects

Frederic Blum · 2026 · Linguistic Typology

Abstract The statistical over-representation of certain phonological features in the basic vocabulary of languages is often interpreted as reflecting potentially universal sound symbolic patterns. However, most of these cases have not been…

View details →DOI: 10.1515/lingty-2025-0050
Negative / Null Result Report

An Induction Failed on a Whim? Or, WHIM Syndrome Resulting in a Failed Induction of Labor? [25G]

William A. Zammarrelli, Scott M. Petersen, Kimberly Hickey et al. · 2019 · Obstetrics & Gynecology

INTRODUCTION: The physiology of labor, specifically cervical dilation, likely depends on immunomodulation. Warts, Hypogammaglobulinemia, Infections, and Myelokathexis (WHIM) Syndrome, is a rare immunodeficiency syndrome with patients…

View details →DOI: 10.1097/01.aog.0000558724.90392.e2
Negative / Null Result Report

The Effect of Variety on Perceived Quantity

Lukas Röseler, Georg Felser, Jana Asberger et al. · 2024 · Meta-Psychology

Redden and Hoch (2009) found that variety in a set of items robustly decreased the perceived quantity of the sum of these items across multiple studies. For example, a set of multicolored M&M’s was estimated to contain fewer M&M’s than an…

View details →DOI: 10.15626/mp.2020.2639
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Optimization and evaluation of a coarse-grained model of protein motion using X-ray crystal data

Dmitry A. Kondrashov, Qiang Cui, George N. Phillips · 2006 · arXiv

Simple coarse-grained models, such as the Gaussian Network Model, have been shown to capture some of the features of equilibrium protein dynamics. We extend this model by using atomic contacts to define residue interactions and introducing more than one interaction parameter between residues. We use B-factors from 98 ultra-high resolution X-ray crystal structures to optimize the interaction parameters. The average correlation between GNM fluctuation predictions and the B-factors is 0.64 for the data set, consistent with a previous large-scale study. By separating residue interactions into cova

Negative / Null Result ReportOpen accessComputer Science

Classical simulation of bosonic linear-optical random circuits beyond linear light cone

Changhun Oh, Youngrong Lim, Bill Fefferman et al. · 2021 · arXiv

Sampling from probability distributions of quantum circuits is a fundamentally and practically important task which can be used to demonstrate quantum supremacy using noisy intermediate-scale quantum devices. In the present work, we examine classical simulability of sampling from the output photon-number distribution of linear-optical circuits composed of random beam splitters with equally distributed squeezed vacuum states and single-photon states input. We provide efficient classical algorithms to simulate linear-optical random circuits and show that the algorithms' error is exponentially sm

Negative / Null Result ReportOpen accessComputer Science

Style Over Substance: Evaluation Biases for Large Language Models

Minghao Wu, Alham Fikri Aji · 2023 · arXiv

As large language models (LLMs) continue to advance, accurately and comprehensively evaluating their performance becomes increasingly challenging. Ranking the relative performance of LLMs based on Elo ratings, according to human judgment, is gaining more popularity. However, the extent to which humans and LLMs are capable evaluators remains uncertain. This study investigates the behavior of crowd-sourced and expert annotators, as well as LLMs, when comparing outputs from different models. To achieve this, we curate a dataset of intentionally flawed machine-generated answers. Our findings revea

Negative / Null Result ReportOpen accessPhysics

C,T1,T2: A complementary method to detect Multiple Populations with the Washington filter system

Heinz Frelijj, Douglas geisler, Sandro Villanova et al. · 2022 · arXiv

In this research we test the ability of a three Washington filter combination, (C-T1)-(T1-T2), compared with that of the traditional C-T1 color to find multiple populations on two globular clusters: NGC 7099 and NGC 1851, types I and II Globular clusters, respectively. Our improved photometry and membership selection, now using Gaia proper motions, finds that the second population stars are more centrally concentrated than first population stars, as expected and contrary to our previous findings for NGC 7099. We find that multiple populations are more easily detected in both clusters using the

Negative / Null Result ReportOpen accessComputer Science

Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements

Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt et al. · 2022 · arXiv

The growing capability and availability of generative language models has enabled a wide range of new downstream tasks. Academic research has identified, quantified and mitigated biases present in language models but is rarely tailored to downstream tasks where wider impact on individuals and society can be felt. In this work, we leverage one popular generative language model, GPT-3, with the goal of writing unbiased and realistic job advertisements. We first assess the bias and realism of zero-shot generated advertisements and compare them to real-world advertisements. We then evaluate prompt