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.
19878 results in Negative / Null Result Report · page 462 of 663
McGrath LG, Holck HW, Teixeira AJ et al. · 2026 · BJUI compass
Objectives To investigate how patient-specific factors, including race and socioeconomic status, impact time to treatment initiation (TTI) for patients with small renal masses (SRMs). Materials and methods We retrospectively reviewed 275…
Jiang Y, Luo J, Zheng L et al. · 2026 · The journal of obstetrics and gynaecology research
Aim To examine the association between the distribution of energy and macronutrients between dinner and breakfast and depressive symptoms in early pregnancy. Methods This study used baseline data from a maternity cohort conducted in Wuhan,…
Kagami M, Kataoka Y, Hirao Y et al. · 2026 · IEEE transactions on visualization and computer graphics
Augmented Reality (AR) can enhance accessibility by anchoring virtual windows to the user's body. Among common approaches, head-following windows help maintain floating virtual windows within the user's field of view. Previous studies have…
Myllylä IL, Wiklund M, Haakana V et al. · 2026 · Clinical linguistics & phonetics
Speech of persons on the autism spectrum is often described as prosodically distinctive, yet the perceptual basis and acoustic correlates of these judgements remain undefined. We investigated how prosodic typicality is perceived in…
Filtness AJ, Miller KA, Maynard S et al. · 2026 · Scientific reports
Driver sleepiness contributes to a substantial proportion of road crashes. Drivers experiencing sleepiness are advised to take a break and have a caffeinated drink followed by a short nap (caffeine nap). However, previous research…
Aguirre MJ, Barttfeld P, Martín-Arévalo E et al. · 2026 · Preprint
The decrease in vigilance refers to the decline in sustained attention during prolonged tasks, which often leads to increased errors and accidents. However, to date, there are no experimental tasks that simultaneously measure changes in…
Xie YJ, Song MS, Ma XD et al. · 2026 · Gait & posture
Objective This study seeks to compare the impacts of various robotic gait training (RAGT) modes on lower limb motor function recovery in stroke patients while exploring the corresponding neural mechanisms. Design A single-blind, randomized…
Patil DP, Bhangale JH · 2026 · Preprint
Abstract Cellulose fibre insulation made up of recycled newspaper is used as thermal and acoustic insulation considered as environmentally friendly. Cellulose fibre insulation is sound absorber material and having excellent thermal…
Arias-Sandoval E, Carratalá-Ros C, Matas-Navarro P et al. · 2026 · Learning & behavior
Motivated behavior is characterized by a high degree of behavioral activation and effort. Preclinical models of operant effort-based decision-making are useful for studying motivational symptoms seen in many psychopathologies as well as…
Widłak P, Malara M, Kuk A et al. · 2026 · Preprint
Abstract Movement quality and postural control are crucial for performance and injury prevention in team-sport athletes. Although FMS and YBT are commonly used, their ability to predict injury risk is limited when used alone. Therefore,…
Etoundi JC, Juhel A · 2026 · Preprint
Social media use has been identified as a significant risk factor for the development and maintenance of eating disorders, particularly among young adults. Despite the growing urgency of this public health issue, effective prevention…
Chowdhury A, Dasgupta D · 2026 · Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
Objective : Present study delineates to explore the relation of actual body weight and body self-image perception among tribal adolescent girls and boys. Materials and methods : This cross sectional study is conducted at Purulia district…
Zanco B, Mirth CK, Sgrò CM et al. · 2026 · npj aging
Dietary restriction may extend lifespan by improving late-life gut health. Because micronutrients mediate the effects of macronutrient ratios on longevity, we examined how cholesterol limitation affects gut health in female Drosophila…
Yoav Simhon, Alex Segal, Ofer Amrani et al. · 2025 · arXiv
Scintillator-SiPM Particle Detectors (SSPDs) are compact, low-power devices with applications including particle physics, underground tomography, cosmic-ray studies, and space instrumentation. They are based on a prism-shaped scintillator with corner-mounted SiPMs. Previous work has demonstrated that analytic algorithms based on a physical model of light propagation can reconstruct particle impinging positions and tracks and estimate deposited energy and Linear Energy Transfer (LET) with moderate accuracy. In this study, we enhance this approach by applying machine learning (ML) methods, speci
Yang Liu, Yixing Luo, Xiaofeng Li et al. · 2026 · arXiv
Time series anomaly detection (TSAD) is essential for ensuring the safety and reliability of aerospace software systems. Although large language models (LLMs) provide a promising training-free alternative to unsupervised approaches, their effectiveness in aerospace settings remains under-examined because of complex telemetry, misaligned evaluation metrics, and the absence of domain knowledge. To address this gap, we introduce ATSADBench, the first benchmark for aerospace TSAD. ATSADBench comprises nine tasks that combine three pattern-wise anomaly types, univariate and multivariate signals, an
Mandhapati P. Raju, Siddhartha Khaitan · 2009 · arXiv
The study deals with the parallelization of finite element based Navier-Stokes codes using domain decomposition and state-ofart sparse direct solvers. There has been significant improvement in the performance of sparse direct solvers. Parallel sparse direct solvers are not found to exhibit good scalability. Hence, the parallelization of sparse direct solvers is done using domain decomposition techniques. A highly efficient sparse direct solver PARDISO is used in this study. The scalability of both Newton and modified Newton algorithms are tested.
Kushal Mehta, Arshita Jain, Jayalakshmi Mangalagiri et al. · 2020 · arXiv
We present a hybrid algorithm to estimate lung nodule malignancy that combines imaging biomarkers from Radiologist's annotation with image classification of CT scans. Our algorithm employs a 3D Convolutional Neural Network (CNN) as well as a Random Forest in order to combine CT imagery with biomarker annotation and volumetric radiomic features. We analyze and compare the performance of the algorithm using only imagery, only biomarkers, combined imagery + biomarkers, combined imagery + volumetric radiomic features and finally the combination of imagery + biomarkers + volumetric features in orde
Gi-Chol Cho, Kaoru Hagiwara · 1999 · arXiv
We study constraints on the supersymmetric standard model from the updated electroweak precision measurements --- the Z-pole experiments and the $W$-boson mass measurements. The supersymmetric-particle contributions to the universal gauge-boson-propagator corrections are parametrized by the three oblique parameters Sz, Tz and mw. The oblique corrections, the Zqq and Zll vertex corrections, and the vertex and box corrections to the μ-decay width are separately studied in detail. We first study individual contribution from the four sectors of the model, the squarks, the sleptons, the supersymmet
Hao-jie Xu · 2023 · arXiv
In these proceedings, we present the three proposed observables to probe the neutron skin and symmetry energy with relativistic isobar collisions, namely, the isobar ratios of the produced hadron multiplicities ($N_{\rm ch}$), the mean transverse momenta ($\langle p_{\perp} \rangle$), and the net charge multiplicities ($ΔQ$). Our findings suggest potentially significant improvement to neutron skin and symmetry energy determination over traditional low energy methods.
Krzysztof Pachucki · 2006 · arXiv
Corrections of order $α^4$Ry are calculated for the singlet states $1^1S_0$ and $2^1S_0$ of the helium atom. The result for $1^1S_0$ state is in slight disagreement with that of Korobov and Yelkhovsky in [Phys. Rev. Lett. {\bf 87}, 193003 (2001)]. The results obtained lead to a significant improvement of transition frequencies between low lying levels of the helium atom. In particular theoretical predictions for the $2^1S_0 - 1^1S_0$ transition are found to be in disagreement with experimental values.
William Paul Heath, Joaquin Carrasco, Jingfan Zhang · 2021 · arXiv
We present a phase condition under which there is no suitable multiplier for a given continuous-time plant. The condition can be derived from either the duality approach or from the frequency interval approach. The condition has a simple graphical interpretation, can be tested in a numerically efficient manner and may be applied systematically. Numerical examples show significant improvement over existing results in the literature. The condition is used to demonstrate a third order system with delay that is a counterexample to the Kalman Conjecture.
S. Schneider, J. Haidenbauer, C. Hanhart et al. · 2002 · arXiv
We study pion absorption on 3He employing trinucleon wave functions calculated from modern realistic NN interactions (Paris, CD Bonn). Even though the use of the new wave functions leads to a significant improvement over older calculations with regard to both cross section and polarization data, there are hints that polarization data with quasifree kinematics cannot be described by just two-nucleon absorption mechanisms.
Ingvild Dalehaug, Kirsten Nygaard Bolstad, Daniel Aadnevik et al. · 2017 · arXiv
Purpose: Siemens has developed several iterative reconstruction (IR) algorithms on their CT scanners. SAFIRE is available on most of their CT scanners. The latest algorithm, ADMIRE, is available on their newest high-end CT scanners. The aim of our study was to compare the noise reduction properties of the two IR algorithms using objective methods. Methods and Materials: The homogeneous module of the Catphan phantom was scanned on a Siemens AS+ and a Siemens Flash CT scanner using an axial abdomen protocol with fixed tube current at two dose levels. The images were reconstructed with an abdomen
Antonio Liguori, Matias Quintana, Chun Fu et al. · 2023 · arXiv
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learning methods, are typically required to reflect the non-linear behavior of these anomalies. As an ongoing research question related to Deep Learning, a model's applicability to limited data settings can be explored by introducing prior knowledge in the network. This same strategy can also lead to more interpretable predictions, hence facilitating the field application of the approach. For that purpose, the aim of this
O. Behrend, R. Harris, P. Warren · 1993 · arXiv
We present a numerical analysis of the validity of classical and generalized hydrodynamics for Lattice Boltzmann Equation (LBE) and Lattice BGK methods in two and three dimensions, as a function of the collision parameters of these models. Our analysis is based on the wave-number dependence of the evolution operator. Good ranges of validity are found for BGK models as long as the relaxation time is chosen smaller than or equal to unity. The additional freedom in the choice of collision parameters for LBE models does not seem to give significant improvement.
Motonari Tonegawa, Tomonori Totani, Masayuki Akiyama et al. · 2013 · arXiv
The efficient selection of high-redshift emission galaxies is important for future large galaxy redshift surveys for cosmology. Here we describe the target selection methods for the FastSound project, a redshift survey for H alpha emitting galaxies at z=1.2-1.5 using Subaru/FMOS to measure the linear growth rate fσ8 via Redshift Space Distortion (RSD) and constrain the theory of gravity. To select ~400 target galaxies in the 0.2 deg^2 FMOS field-of-view from photometric data of CFHTLS-Wide (u*g'r'i'z'), we test several different methods based on color-color diagrams or photometric redshift est
V. S. Raghu Parupudi · 2025 · arXiv
Vector comparison in high dimensions is a fundamental task in NLP, yet it is dominated by two baselines: the raw dot product, which is unbounded and sensitive to vector norms, and the cosine similarity, which discards magnitude information entirely. This paper challenges both standards by proposing and rigorously evaluating a new class of parameter-free, magnitude-aware similarity metrics. I introduce two such functions, Overlap Similarity (OS) and Hyperbolic Tangent Similarity (HTS), designed to integrate vector magnitude and alignment in a more principled manner. To ensure that my findings a
A. D. Kulkarni, R. M. Shannon, D. J. Reardon et al. · 2024 · arXiv
Pulse-to-pulse profile shape variations introduce correlations in pulsar times of arrival (TOAs) across radio frequency measured at the same observational epoch. This leads to a broadband noise in excess of radiometer noise, which is termed pulse jitter noise. The presence of jitter noise limits the achievable timing precision and decreases the sensitivity of pulsar-timing data sets to signals of interest such as nanohertz-frequency gravitational waves. Current white noise models used in pulsar timing analyses attempt to account for this, assuming complete correlation of uncertainties through
Sungjin Park, Seungwoo Ryu, Edward Choi · 2022 · arXiv
Recent success of pre-trained language models (PLMs) has stimulated interest in their ability to understand and work with numbers. Yet, the numerical reasoning over measurements has not been formally studied despite their importance. In this study, we show that PLMs lack the capability required for reasoning over measurements. Furthermore, we find that a language model trained on a measurement-rich corpus shows better performance on understanding measurements. We propose a simple embedding strategy to better distinguish between numbers and units, which leads to a significant improvement in the
Ramnath Kumar, Tristan Deleu, Yoshua Bengio · 2022 · arXiv
Recent studies show that task distribution plays a vital role in the meta-learner's performance. Conventional wisdom is that task diversity should improve the performance of meta-learning. In this work, we find evidence to the contrary; (i) our experiments draw into question the efficacy of our learned models: similar manifolds can be learned with a subset of the data (lower task diversity). This finding questions the advantage of providing more data to the model, and (ii) adding diversity to the task distribution (higher task diversity) sometimes hinders the model and does not lead to a signi