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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.

1761 results in Negative / Null Result Report for "Mpro" · page 41 of 59

Negative / Null Result Report

Production of recombinant pepsin, pancreatic lipase and colipase from Pichia pastoris as feed additive

F. Liu · 2014 · Recent progress in swine breeding and raising technologies and cutting-edge reproductive technologies and perspectives for their usage in swine

Enzyme feed additives are always added in animal nutrition to improve the quality of feeds, or to improve the animals’ growth performance and health through intensifying digestibility of the feed ingredients. This study investigated the…

View details →DOI: 10.56669/mrtp9486
Negative / Null Result ReportOpen access

Post-exercise ketone supplementation improves endurance performance, but not cardiac function during an 8-week training intervention

Y. Bekhuis, R. Robberechts, T. Rosseel et al. · 2024 · European Journal of Preventive Cardiology

Post-exercise ketone supplementation (PEKS) is commonly used in endurance athletes to alleviate overtraining symptoms and to stimulate recovery. The introduction of PEKS can blunt the development of symptoms associated with overtraining,…

View details →DOI: 10.1093/eurjpc/zwae175.286
Negative / Null Result ReportOpen accessMedicine

Comparable improvements in selective, but not sustained, attention in response to a multi-ingredient nootropic formulation when compared with caffeine.

Hearris MA, Langan-Evans C, Foo WL et al. · 2026 · European journal of nutrition

PURPOSE: The ergogenic effects of caffeine on cognitive performance are largely restricted to improved alertness and enhanced attention and do not typically extend to other cognitive domains. In contrast, plant extracts and phytochemicals…

View details →DOI: 10.1007/s00394-026-03926-8
Negative / Null Result ReportOpen accessMedicine

Monitoring the Adverse Implications of Coronavirus 2019-induced Pulmonary Complications on Patients' Respiratory Capacity and Physical Abilities with Moderate and Severe Signs during Interval Follow-up.

Aali F, Habibi Z, Aali F et al. · 2026 · Journal of medical signals and sensors

Background The respiratory system of individuals with coronavirus 2019 (COVID-19) experiences significant strain due to the body's immunological response and inflammation, leading to organ failure. Over time, patients have improvement in…

View details →DOI: 10.4103/jmss.jmss_15_25
Negative / Null Result ReportOpen accessMedicine

Evaluation of the safety of high-dose <i>Lactobacillus gasseri</i> CP2305 supplementation in healthy adults: A randomized, double-blind, placebo-controlled study.

Fuchida H, Sawada D, Hirota T et al. · 2026 · Toxicology reports

Objective Lactobacillus gasseri CP2305 (L. gasseri CP2305) has been reported to exert intestinal regulatory, anti-stress, and sleep-improving effects in healthy adults. This study aimed to evaluate the safety of an excessive intake of L.…

View details →DOI: 10.1016/j.toxrep.2026.102222
Negative / Null Result ReportMedicine

Trajectories of quality of life in pancreatic cancer survivors during the first year after surgery: a longitudinal study.

Zhu J, Huang L, Zheng R et al. · 2026 · Scientific reports

Although quality of life (QOL) improves over time for most pancreatic cancer patients after surgery, some patients may show different patterns of QOL. Beyond determining distinct QOL trajectories, identifying characteristics of patients…

View details →DOI: 10.1038/s41598-026-58311-6
Negative / Null Result ReportMedicine

Global Postural Re-Education Versus Deep Neck Flexor Activation on Chronic Nonspecific Neck Pain with Forward Head Posture.

Abd Elhamed HB, Mohamed Ahmed EA, Youssif EF et al. · 2026 · Journal of clinical medicine

Background and Objectives : Chronic nonspecific neck pain (NSNP) is among the most common musculoskeletal disorders. Global postural re-education (GPR) might be effective in decreasing neck pain (NP) and dysfunction and improving forward…

View details →DOI: 10.3390/jcm15124833
Negative / Null Result Report

Effects of Exogenous Fibrolytic Enzymes on Growth Performance, Nutrient Digestibility, Haematological and Serum Biochemical Indices, and Manure Output of Kano Brown Bucks

Ibrahim RS, Abbas MW, Nasiru A · 2026 · Preprint

Abstract Background: Exogenous enzymes are increasingly used in ruminant nutrition to improve feed utilization and reduce nutrient losses. This study evaluated the the effects of different exogenous enzyme inclusions on growth performance,…

View details →DOI: 10.21203/rs.3.rs-8833196/v1
Negative / Null Result ReportOpen accessMedicine

Short lifespan under dietary cholesterol depletion is associated with gut dysfunction in Drosophila melanogaster females.

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…

View details →DOI: 10.1038/s41514-026-00341-5
Negative / Null Result ReportOpen accessComputer Science

Domain Decomposition Based High Performance Parallel Computing

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.

Negative / Null Result ReportOpen accessComputer Science

Probing neutron skin and symmetry energy with relativistic isobar collisions

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.

Negative / Null Result ReportOpen accessPhysics

$α^4$ Ry corrections to singlet states of helium

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.

Negative / Null Result ReportOpen accessMathematics

Phase limitations of multipliers at harmonics

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.

Negative / Null Result ReportOpen accessComputer Science

Positive pion absorption on 3He using modern trinucleon wave functions

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.

Negative / Null Result ReportOpen accessComputer Science

Hydrodynamic behaviour of Lattice Boltzmann and Lattice BGK models

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.

Negative / Null Result ReportOpen accessComputer Science

Do Language Models Understand Measurements?

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

Negative / Null Result ReportOpen accessComputer Science

The Effect of Diversity in Meta-Learning

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

Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Sanctions and Imports of Essential Goods: A Closer Look at the Equipo Anova (2021) Results

Francisco Rodríguez · 2022 · arXiv

We revisit the results of a recent paper by Equipo Anova, who claim to find evidence of an improvement in Venezuelan imports of food and medicines associated with the adoption of U.S. financial sanctions towards Venezuela in 2017. We show that their results are consequence of data coding errors and questionable methodological choices, including the use an unreasonable functional form that implies a counterfactual of negative imports in the absence of sanctions, the omission of data accounting for four-fifths of the country's food imports at the time of sanctions and incorrect application of re

Negative / Null Result ReportOpen accessPhysics

Large scale flows in the solar interior: Effect of asymmetry in peak profiles

Sarbani Basu, H. M. Antia · 1999 · arXiv

Ring diagram analysis can be used to study large scale velocity fields in the outer part of the solar convection zone. All previous works assume that the peak profiles in the solar oscillation power spectrum are symmetric. However, it has now been demonstrated that the peaks are not symmetric. In this work we study how the explicit use of asymmetric peak profiles in ring-diagram analysis influences the estimated velocity fields. We find that the use of asymmetric profiles leads to significant improvement in the fits, but the estimated velocity fields are not substantially different from those

Negative / Null Result ReportOpen accessPhysics

Transiting Exoplanet Monitoring Project (TEMP). VI. The Homogeneous Refinement of System Parameters for 39 Transiting Hot Jupiters with 127 New Light Curves

Xian-Yu Wang, Yong-Hao Wang, Songhu Wang et al. · 2021 · arXiv

We present 127 new transit light curves for 39 hot Jupiter systems, obtained over the span of five years by two ground-based telescopes. A homogeneous analysis of these newly collected light curves together with archived spectroscopic, photometric, and Doppler velocimetric data using EXOFASTv2 leads to a significant improvement in the physical and orbital parameters of each system. All of our stellar radii are constrained to accuracies of better than 3\%. The planetary radii for 37 of our 39 targets are determined to accuracies of better than $5\%$. Compared to our results, the literature ecce

Negative / Null Result ReportOpen accessComputer Science

Hadronic Contribution to (g-2)_{mu}

Andreas Hocker · 2001 · arXiv

The recent precise measurement of the muon magnetic anomaly (g-2)_{mu} at BNL opens a window into possible new physics, provided the contribution from hadronic vacuum polarization is well understood. This talk summarizes the development in the evaluation of the leading order hadronic contributions. Significant improvement has been achieved in a series of analyses which is presented historically in three steps: (1), use of tau spectral functions in addition to e+e- cross sections, (2), extended use of perturbative QCD and (3), application of QCD sum rule techniques. The uncertainties, in partic

Negative / Null Result ReportOpen accessComputer Science

Trading Inference-Time Compute for Adversarial Robustness

Wojciech Zaremba, Evgenia Nitishinskaya, Boaz Barak et al. · 2025 · arXiv

We conduct experiments on the impact of increasing inference-time compute in reasoning models (specifically OpenAI o1-preview and o1-mini) on their robustness to adversarial attacks. We find that across a variety of attacks, increased inference-time compute leads to improved robustness. In many cases (with important exceptions), the fraction of model samples where the attack succeeds tends to zero as the amount of test-time compute grows. We perform no adversarial training for the tasks we study, and we increase inference-time compute by simply allowing the models to spend more compute on reas

Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation

Yuda Bi, Vince D Calhoun · 2026 · arXiv

We address the attribution problem for apparent slow collective dynamics: is the observed persistence intrinsic, or inherited from a persistent driver? For the leading eigenvalue fraction $ψ_1=λ_{\max}/N$ of S\&P 500 60-day rolling correlation matrices ($237$ stocks, 2004--2023), a VIX-coupled Ornstein--Uhlenbeck model reduces the effective relaxation time from $298$ to $61$ trading days and improves the fit over bare mean reversion by $Δ$BIC$=109$. On the decomposition sample, an informational residual of $\log(\mathrm{VIX})$ alone retains most of that gain ($Δ$BIC$=78.6$), whereas a mechanic

Negative / Null Result ReportOpen accessComputer Science

Durkheim Project Data Analysis Report

Linas Vepstas · 2013 · arXiv

This report describes the suicidality prediction models created under the DARPA DCAPS program in association with the Durkheim Project [http://durkheimproject.org/]. The models were built primarily from unstructured text (free-format clinician notes) for several hundred patient records obtained from the Veterans Health Administration (VHA). The models were constructed using a genetic programming algorithm applied to bag-of-words and bag-of-phrases datasets. The influence of additional structured data was explored but was found to be minor. Given the small dataset size, classification between c

Negative / Null Result ReportOpen accessComputer Science

Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models

Mario Sanz-Guerrero, Katharina von der Wense · 2025 · arXiv

In-context learning (ICL) has transformed the use of large language models (LLMs) for NLP tasks, enabling few-shot learning by conditioning on labeled examples without finetuning. Despite its effectiveness, ICL is prone to errors, especially for challenging examples. With the goal of improving the performance of ICL, we propose corrective in-context learning (CICL), an approach that incorporates a model's incorrect predictions alongside ground truth corrections into the prompt, aiming to enhance classification accuracy through self-correction. However, contrary to our hypothesis, extensive exp

Negative / Null Result ReportOpen accessComputer Science

Topic Level Disambiguation for Weak Queries

Hui Zhang, Kiduk Yang, Elin Jacob · 2015 · arXiv

Despite limited success, information retrieval (IR) systems today are not intelligent or reliable. IR systems return poor search results when users formulate their information needs into incomplete or ambiguous queries (i.e., weak queries). Therefore, one of the main challenges in modern IR research is to provide consistent results across all queries by improving the performance on weak queries. However, existing IR approaches such as query expansion are not overly effective because they make little effort to analyze and exploit the meanings of the queries. Furthermore, word sense disambiguati

Negative / Null Result ReportOpen accessComputer Science

Improved WKB analysis of cosmological perturbations

Roberto Casadio, Fabio Finelli, Mattia Luzzi et al. · 2004 · arXiv

Improved Wentzel-Kramers-Brillouin (WKB)-type approximations are presented in order to study cosmological perturbations beyond the lowest order. Our methods are based on functions which approximate the true perturbation modes over the complete range of the independent (Langer) variable, from sub-horizon to super-horizon scales, and include the region near the turning point. We employ both a perturbative Green's function technique and an adiabatic (or ``semiclassical'') expansion (for a linear turning point) in order to compute higher order corrections. Improved general expressions for the WKB

Negative / Null Result ReportOpen accessComputer Science

Unitarity Problems in 3$D$ Gravity Theories

Gokhan Alkac, Luca Basanisi, Ercan Kilicarslan et al. · 2017 · arXiv

We revisit the problem of the bulk-boundary unitarity clash in 2 + 1 dimensional gravity theories, which has been an obstacle in providing a viable dual two-dimensional conformal field theory for bulk gravity in anti-de Sitter (AdS) spacetime. Chiral gravity, which is a particular limit of cosmological topologically massive gravity (TMG), suffers from pertur- bative log-modes with negative energies inducing a non-unitary logarithmic boundary field theory. We show here that any f(R) extension of TMG does not improve the situation. We also study the perturbative modes in the metric formulation o