e-ISSN: Pending
WASTE Journal

Browse the failure-mode index

19,871 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 ReportOpen accessComputer Science

Intersecting non-SUSY branes and closed string tachyon condensation

J. X. Lu, Shibaji Roy, Zhao-Long Wang et al. · 2007 · arXiv

Following \cite{Bai:2006vv} we here consider the supergravity solutions representing the charged non-supersymmetric $p$-brane (for $1\leq p \leq 6$) intersecting with chargeless non-supersymmetric 1-brane and 0-brane of type II string theories. We show how these solutions nicely interpolate between black $p$-branes and the Kaluza-Klein "bubble of nothing" (BON) by continuously varying some parameters characterizing the solutions from one set of values to another. By performing a time symmetric general bubble initial data analysis, we show that the interpolation implies a possible transition fr

View details →
Negative / Null Result Report

PEMANFAATAN KACANG HIJAU SEBAGAI PENGANTI KACANG KEDELAI DALAM PEMBUATAN TEMPE

Azra Nazirah Nafiah, Fitria Wijayanti, Putri Rahayu · 2024 · SIGNIFICANT : Journal Of Research And Multidisciplinary

Judul Penelitian ini adalah Pemanfaatan Kacang Hijau Sebagai Penganti Kacang Kedelai Dalam Pembuatan Tempe. Masalah yang akan di teliti dalam penelitian ini adalah Pemanfaatan Kacang Hijau Sebagai Penganti Kacang Kedelai Dalam Pembuatan…

View details →
Negative / Null Result ReportOpen accessComputer Science

Reliability and User-Plane Latency Analysis of mmWave Massive MIMO for Grant-Free URLLC Applications

Joao V. C. Evangelista, Georges Kaddoum, Zeeshan Sattar · 2021 · arXiv

5G cellular networks are designed to support a new range of applications not supported by previous standards. Among these, ultra-reliable low-latency communication (URLLC) applications are arguably the most challenging. URLLC service requires the user equipment (UE) to be able to transmit its data under strict latency constraints with high reliability. To address these requirements, new technologies, such as mini-slots, semi-persistent scheduling and grant-free access were introduced in 5G standards. In this work, we formulate a spatiotemporal mathematical model to evaluate the user-plane late

View details →
Negative / Null Result Report

Beliefs about the smoking effect on COVID-19 as significant factors in smoking cessation efforts

Mochamad Iqbal Nurmansyah, Yustiyani Yustiyani, Narila Mutia Nasir et al. · 2023 · International Journal of Public Health Science (IJPHS)

Owing to the various scientific evidence linking smoking to the increased risk of developing severe disease and death from the COVID-19 pandemic, now is a critical time for smokers to cut back or quit. This study aimed to analyze the…

View details →
Negative / Null Result ReportOpen accessComputer Science

Tagset Reduction Without Information Loss

Thorsten Brants · 1995 · arXiv

A technique for reducing a tagset used for n-gram part-of-speech disambiguation is introduced and evaluated in an experiment. The technique ensures that all information that is provided by the original tagset can be restored from the reduced one. This is crucial, since we are interested in the linguistically motivated tags for part-of-speech disambiguation. The reduced tagset needs fewer parameters for its statistical model and allows more accurate parameter estimation. Additionally, there is a slight but not significant improvement of tagging accuracy.

View details →
Negative / Null Result Report

Effect of significant incidence of Braf p.V600E mutations in esophageal cancer on potential use of tyrosine kinase inhibitors.

Thurai Moorthy, Chrishanthi Rajasooriyar, Anusha Ginige et al. · 2020 · Journal of Clinical Oncology

e16591 Background: Routine diagnosis of esophageal cancer varies from locally advanced to metastatic at presentation. Most of these patients are cachectic at presentation and physically not suitable for radical tri-modality treatment as…

View details →
Negative / Null Result ReportOpen accessComputer Science

Measuring the Effect of Discourse Relations on Blog Summarization

Shamima Mithun, Leila Kosseim · 2017 · arXiv

The work presented in this paper attempts to evaluate and quantify the use of discourse relations in the context of blog summarization and compare their use to more traditional and factual texts. Specifically, we measured the usefulness of 6 discourse relations - namely comparison, contingency, illustration, attribution, topic-opinion, and attributive for the task of text summarization from blogs. We have evaluated the effect of each relation using the TAC 2008 opinion summarization dataset and compared them with the results with the DUC 2007 dataset. The results show that in both textual genr

View details →
Negative / Null Result ReportOpen accessComputer Science

EdgeFlow: Edge-Map Augmented VLM-Based Flowchart Processing for Industrial Requirements Engineering

Zhifei Dou, Shabnam Hassani, Ou Wei · 2026 · arXiv

Flowcharts are widely used in industrial requirements, but usually remain embedded as static images. Vision Language Models (VLMs) show promise in the conversion of these flowcharts into machine-readable models for RE activities, yet, when directly applied to flowchart conversion, they often fail on topology-critical visual details. To address this, we propose EdgeFlow that augments a VLM's original input with a deterministically extracted Canny edge map-acting as a structural prior-to improve flowchart-to-Mermaid conversion, without requiring annotated training data or domain-specific model f

View details →
Negative / Null Result ReportOpen accessComputer Science

Metabook: A Mobile-to-Headset Pipeline for 3D Story Book Creation in Augmented Reality

Yibo Wang, Yuanyuan Mao, Lik-Hang Lee et al. · 2024 · arXiv

The AR 3D book has shown significant potential in enhancing students' learning outcomes. However, the creation process of 3D books requires a significant investment of time, effort, and specialized skills. Thus, in this paper, we first conduct a three-day workshop investigating how AI can support the automated creation of 3D books. Informed by the design insights derived from the workshop, we developed Metabook, a system that enables even novice users to create 3D books from text automatically. To our knowledge, Metabook is the first system to offer end-to-end 3D book generation. A follow-up s

View details →
Negative / Null Result ReportOpen accessComputer Science

Acceleration of particles and shells by Reissner-Nordström naked singularities

Mandar Patil, Pankaj S. Joshi, Masashi Kimura et al. · 2011 · arXiv

We explore the Reissner-Nordström naked singularities with a charge $Q$ larger than its mass $M$ from the perspective of the particle acceleration. We first consider a collision between two test particles following the radial geodesics in the Reissner-Nordström naked singular geometry. An initially radially ingoing particle turns back due to the repulsive effect of gravity in the vicinity of naked singularity. Such a particle then collides with an another radially ingoing particle. We show that the center of mass energy of collision taking place at $r \approx M$ is unbound, in the limit where

View details →
Negative / Null Result Report

A SIGNIFICANT EFFECT OF INVOLVEMENT BEHAVIORS ON LONG-TERM TREATMENT OUTCOMES IN JAPANESE PATIENTS WITH OBSESSIVE COMPULSIVE DISORDER (OCD)

*Erisa Yokozumi, Keiichiro Mukai, Shun Ogino et al. · 2025 · International Journal of Neuropsychopharmacology

Abstract Background Patients with obsessive-compulsive disorder (OCD) frequently exhibit involvement behaviors (IBs) in which they accommodate their caregivers to their OCD symptoms by 1) asking them for reassurance, 2) forcing them to…

View details →
Negative / Null Result Report

P1812 The effect of pre-procedural significant mitral regurgitation upon mortality after transcatheter aortic valve implantation

S Soulaidopoulos, M Drakopoulou, G Oikonomou et al. · 2020 · European Heart Journal - Cardiovascular Imaging

Abstract Background The presence of concomitant mitral regurgitation (MR) is a common issue in patients with severe aortic stenosis and negatively affects patient outcome. Available data regarding MR reduction due to aortic gradient…

View details →
Negative / Null Result ReportOpen accessComputer Science

Capturing Intransitive Dominance in Tennis Forecasting: A Graph Neural Network Approach

Lawrence Clegg, John Cartlidge · 2025 · arXiv

Intransitive player dominance, where player A beats B, B beats C, but C beats A, is common in competitive tennis. Yet, there are few known attempts to incorporate it within forecasting methods. We address this problem with a graph neural network approach that explicitly models these intransitive relationships through temporal directed graphs, with players as nodes and their historical match outcomes as directed edges. Our model (65.7% accuracy, 0.214 Brier score) forecasts competitively with established rating systems such as Weighted Elo. Although it does not improve on the baseline in uncond

View details →
Negative / Null Result ReportOpen accessComputer Science

The Saturation Point of Backtranslation in High Quality Low Resource English Gujarati Machine Translation

Arwa Arif · 2025 · arXiv

Backtranslation BT is widely used in low resource machine translation MT to generate additional synthetic training data using monolingual corpora. While this approach has shown strong improvements for many language pairs, its effectiveness in high quality, low resource settings remains unclear. In this work, we explore the effectiveness of backtranslation for English Gujarati translation using the multilingual pretrained MBART50 model. Our baseline system, trained on a high quality parallel corpus of approximately 50,000 sentence pairs, achieves a BLEU score of 43.8 on a validation set. We aug

View details →
Negative / Null Result ReportOpen accessComputer Science

On the Power of Perturbation under Sampling in Solving Extensive-Form Games

Wataru Masaka, Mitsuki Sakamoto, Kenshi Abe et al. · 2025 · arXiv

We investigate how perturbation does and does not improve the Follow-the-Regularized-Leader (FTRL) algorithm in solving imperfect-information extensive-form games under sampling, where payoffs are estimated from sampled trajectories. While optimistic algorithms are effective under full feedback, they often become unstable in the presence of sampling noise. Payoff perturbation offers a promising alternative for stabilizing learning and achieving \textit{last-iterate convergence}. We present a unified framework for \textit{Perturbed FTRL} algorithms and study two variants: PFTRL-KL (standard KL

View details →
Negative / Null Result ReportOpen accessComputer Science

Paying Attention to Descriptions Generated by Image Captioning Models

Hamed R. Tavakoli, Rakshith Shetty, Ali Borji et al. · 2017 · arXiv

To bridge the gap between humans and machines in image understanding and describing, we need further insight into how people describe a perceived scene. In this paper, we study the agreement between bottom-up saliency-based visual attention and object referrals in scene description constructs. We investigate the properties of human-written descriptions and machine-generated ones. We then propose a saliency-boosted image captioning model in order to investigate benefits from low-level cues in language models. We learn that (1) humans mention more salient objects earlier than less salient ones i

View details →
Negative / Null Result ReportOpen accessComputer Science

Machine learning models for prediction of droplet collision outcomes

Arpit Agarwal · 2021 · arXiv

Predicting the outcome of liquid droplet collisions is an extensively studied phenomenon but the current physics based models for predicting the outcomes are poor (accuracy $\approx 43\%$). The key weakness of these models is their limited complexity. They only account for 3 features while there are many more relevant features that go unaccounted for. This limitation of traditional models can be easily overcome through machine learning modeling of the problem. In an ML setting this problem directly translates to a classification problem with 4 classes. Here we compile a large labelled dataset

View details →
Negative / Null Result ReportOpen accessComputer Science

Towards a fully self-consistent spectral function of the nucleon in nuclear matter

F. de Jong, H. Lenske · 1997 · arXiv

We present a calculation of nuclear matter which goes beyond the usual quasi-particle approximation in that it includes part of the off-shell dependence of the self-energy in the self-consistent solution of the single-particle spectrum. The spectral function is separated in contributions for energies above and below the chemical potential. For holes we approximate the spectral function for energies below the chemical potential by a $δ$-function at the quasi-particle peak and retain the standard form for energies above the chemical potential. For particles a similar procedure is followed. The a

View details →
Negative / Null Result ReportOpen accessComputer Science

Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?

Greta Laage, Emma Frejinger, Andrea Lodi et al. · 2021 · arXiv

Airlines and other industries have been making use of sophisticated Revenue Management Systems to maximize revenue for decades. While improving the different components of these systems has been the focus of numerous studies, estimating the impact of such improvements on the revenue has been overlooked in the literature despite its practical importance. Indeed, quantifying the benefit of a change in a system serves as support for investment decisions. This is a challenging problem as it corresponds to the difference between the generated value and the value that would have been generated keepi

View details →