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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.

1896 results for "Mpro" · page 25 of 64

Negative / Null Result ReportOpen accessComputer Science

Haptic human-human interaction does not improve individual visuomotor adaptation

Niek Beckers, Edwin van Asseldonk, Herman van der Kooij · 2020 · arXiv

Haptic interaction between two humans, for example, a physiotherapist assisting a patient regaining the ability to grasp a cup, likely facilitates motor skill acquisition. Haptic human-human interaction has been shown to enhance individual performance improvement in a tracking task with a visuomotor rotation perturbation. These results are remarkable given that haptically assisting or guiding an individual rarely benefits their individual improvement when the assistance is removed. We, therefore, replicated a study that reported that haptic interaction between humans was beneficial for individ

Negative / Null Result ReportMedicine

Quality Improvement Analysis of Operative Regimen on Urinary Tract Infections.

Bonglack, Carrel-Lammert, Hoehn et al. · 2026 · Urogynecology (Philadelphia, Pa.)

Acute urinary tract infections (UTIs) are common after prolapse and anti-incontinence surgery, with incidence rates varying from 14% to 64%. The objective was to decrease rates of symptomatic urinary tract infections in patients undergoing…

View details →DOI: 10.1097/spv.0000000000001742
Negative / Null Result ReportOpen accessComputer Science

Understanding Why Generalized Reweighting Does Not Improve Over ERM

Runtian Zhai, Chen Dan, Zico Kolter et al. · 2022 · arXiv

Empirical risk minimization (ERM) is known in practice to be non-robust to distributional shift where the training and the test distributions are different. A suite of approaches, such as importance weighting, and variants of distributionally robust optimization (DRO), have been proposed to solve this problem. But a line of recent work has empirically shown that these approaches do not significantly improve over ERM in real applications with distribution shift. The goal of this work is to obtain a comprehensive theoretical understanding of this intriguing phenomenon. We first posit the class o

Negative / Null Result ReportMedicine

Patient Trust in Healthcare Providers among People on Methadone Maintenance Treatment Using Methamphetamine in Vietnam.

Vu, Nguyen, Nguyen et al. · 2026 · Substance use & misuse

Patient trust in healthcare providers (PTP) is critical for improving treatment adherence and outcomes in substance use disorders. As concurrent opioid and methamphetamine use increasingly complicates methadone maintenance treatment (MMT),…

View details →DOI: 10.1080/10826084.2026.2676993
Negative / Null Result ReportMedicine

Association Between Early Versus Delayed Outpatient Follow-Up After Hospital Discharge and Short-Term Healthcare Utilization Among ICU Survivors.

Oletu, Oladimeji, Osueni et al. · 2026 · Cureus

Intensive care unit (ICU) survivors experience high rates of healthcare utilization after hospital discharge, including readmissions and emergency department (ED) visits. Timely outpatient follow-up has been proposed to improve care…

View details →DOI: 10.7759/cureus.107746
Negative / Null Result ReportMedicine

Reliability and patient-centered feasibility of the Gross Motor Function Measure in children diagnosed with central nervous system tumor.

Mantovani, Chagas, Horiquini-Barbosa · 2026 · Developmental neurorehabilitation

Children diagnosed with central nervous system (CNS) tumors frequently present with persistent motor impairments that compromise independence and participation. Although the Gross Motor Function Measure (GMFM-88) is widely used in…

View details →DOI: 10.1080/17518423.2026.2679487
Negative / Null Result Report

Dampak Sosial Ekonomi pada Keluaga Penerima Manfaat (KPM) Program Keluarga Harapan (PKH) Exit Mandiri di Kecamatan Pagelaran Kabuoaten Pringsewu dalam Perspektif The Most Significant Change Technique (MSCt)

Ainun Oktavia Sari, Rahayu Sulistyowati, Ita Prihantika · 2020 · Administrativa: Jurnal Birokrasi, Kebijakan dan Pelayanan Publik

The Conditional Cash Transfer (CCT) is a conditional social cash transfer program that provides assistance to Very Poor Households (RTSM) appointed as participants in the Conditional Cash Transfer program which is related to improving the…

View details →DOI: 10.23960/administrativa.v2i3.51
Negative / Null Result ReportMedicine

The effectiveness of vitrified zygote banking for managing the severe diminished ovarian reserve in infertile women: A retrospective cohort study.

Huang, Tsai, Lin et al. · 2026 · Taiwanese journal of obstetrics & gynecology

A higher oocyte yield is generally associated with improved outcomes in assisted reproductive technology (ART). Vitrification enables the accumulation of oocytes, zygotes, or embryos across multiple cycles, offering a potential strategy to…

View details →DOI: 10.1016/j.tjog.2025.06.010
Negative / Null Result ReportOpen accessMathematics

Does preregistration improve the credibility of research findings?

Mark Rubin · 2020 · arXiv

Preregistration entails researchers registering their planned research hypotheses, methods, and analyses in a time-stamped document before they undertake their data collection and analyses. This document is then made available with the published research report to allow readers to identify discrepancies between what the researchers originally planned to do and what they actually ended up doing. This historical transparency is supposed to facilitate judgments about the credibility of the research findings. The present article provides a critical review of 17 of the reasons behind this argument.

Negative / Null Result ReportMedicine

Telemedicine-Assisted vs Conventional Telephone Instruction in Cardiopulmonary Resuscitation: The TACTIC Cluster Randomized Trial.

Riyapan, Laopran, Chantanakomes et al. · 2026 · Resuscitation

Dispatcher-assisted cardiopulmonary resuscitation (DA-CPR) has been shown to increase bystander CPR rates and improve outcomes after out-of-hospital cardiac arrest (OHCA). However, dispatchers cannot directly visualize the scene, which may…

View details →DOI: 10.1016/j.resuscitation.2026.111191
Negative / Null Result ReportOpen accessComputer Science

Does Weighting Improve Matrix Factorization for Recommender Systems?

Alex Ayoub, Samuel Robertson, Dawen Liang et al. · 2025 · arXiv

Matrix factorization is a widely used approach for top-N recommendation and collaborative filtering. When implemented on implicit feedback data (such as clicks), a common heuristic is to upweight the observed interactions. This strategy has been shown to improve performance for certain algorithms. In this paper, we conduct a systematic study of various weighting schemes and matrix factorization algorithms. Somewhat surprisingly, we find that training with unweighted data can perform comparably to, and sometimes outperform, training with weighted data, especially for large models. This observat

Negative / Null Result ReportMedicine

Effectiveness of intravenous infusion protocol in improving quality of care and reducing complications among hospitalized patients.

Ani, Hameed · 2026 · Wiadomosci lekarskie (Warsaw, Poland : 1960)

Aim: This study aimed to evaluate the effectiveness of a structured intravenous infusion protocol in improving the quality of care and reducing IV-related complications among hospitalized patients. Materials and Methods: A purposive sample…

View details →DOI: 10.36740/wlek/219896
Negative / Null Result ReportOpen accessMathematics

The Poincaré Inequality does not improve with blow-up

Andrea Schioppa · 2015 · arXiv

For each $β>1$ we construct a family $F_β$ of metric measure spaces which is closed under the operation of taking weak-tangents (i.e.~blow-ups), and such that each element of $F_β$ admits a $(1,P)$-Poincaré inequality if and only if $P>β$.

Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Does Anxiety Improve Economic Decision-Making?

Ian Crawford, Carl-Emil Pless · 2026 · arXiv

We study the associations between everyday economic decision-making quality and people's emotional states. Using high-frequency, highly disaggregated consumer "scanner" data, we show that the cost of poor decision-making is substantial, on average equal to around half of day-to-day consumption budgets. While material circumstances help explain decision-making quality, how people feel about those circumstances is equally important. Contrary to evidence that stress and worry impair performance in settings where distraction is costly, we find these same feelings are associated with improved decis

Abandoned Hypothesis

How can I find my own voice through my instrument

Julia Casañas Cast · 2020 · Royal Conservatoire Research Portal

Many classical musicians can suffer from tension and nervousness during solo performance. This research looks at how practicing improvisation and creative body movement, as well as creating one’s own performance together with a dancer, can…

View details →DOI: 10.22501/koncon.792184
Negative / Null Result ReportOpen accessMedicine

Mechanical Tuning of the Cell Microenvironment Using a Biomimetic Hydrogel System for Articular Cartilage Tissue Engineering.

van Mourik M, Spierings J, Koca P et al. · 2026 · Journal of tissue engineering and regenerative medicine

Providing a functional pericellular matrix (PCM) by fine-tuning the microenvironment of the articular chondrocytes (ACs) can greatly improve the outcomes of articular cartilage tissue engineering. While harvesting ACs with their PCM…

View details →DOI: 10.1155/term/9947868
Negative / Null Result ReportOpen accessComputer Science

When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD

Paul K. Mandal · 2025 · arXiv

In this paper, I investigate the effectiveness of dataset cartography for extractive question answering on the SQuAD dataset. I begin by analyzing annotation artifacts in SQuAD and evaluate the impact of two adversarial datasets, AddSent and AddOneSent, on an ELECTRA-small model. Using training dynamics, I partition SQuAD into easy-to-learn, ambiguous, and hard-to-learn subsets. I then compare the performance of models trained on these subsets to those trained on randomly selected samples of equal size. Results show that training on cartography-based subsets does not improve generalization to

Negative / Null Result ReportOpen accessMedicine

Effect of implant position on clinical outcomes of two implant overdentures: a 3-year randomized clinical trial.

Raafat MH, Mourad KE, Elsyad MA · 2026 · BMC oral health

Background Reviewing the literature, the optimal implant position for 2-implant retained mandibular overdentures, which would be associated with improved peri-implant tissues, higher retention values, and better patient satisfaction,…

View details →DOI: 10.1186/s12903-026-08441-0
Negative / Null Result ReportOpen accessMathematics

Preregistration does not improve the transparent evaluation of severity in Popper's philosophy of science or when deviations are allowed

Mark Rubin · 2024 · arXiv

One justification for preregistering research hypotheses, methods, and analyses is that it improves the transparent evaluation of the severity of hypothesis tests. In this article, I consider two cases in which preregistration does not improve this evaluation. First, I argue that, although preregistration may facilitate the transparent evaluation of severity in Mayo's error statistical philosophy of science, it does not facilitate this evaluation in Popper's theory-centric approach. To illustrate, I show that associated concerns about Type I error rate inflation are only relevant in the error

Negative / Null Result ReportOpen accessMedicine

'To improve is to change'-but is it safe? A single surgeon's transition from lateral to vertical hemispherotomy.

Salim O, Chari A, Tahir MZ · 2026 · Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery

Purpose Hemispherotomy is an established treatment for children with drug-resistant epilepsy. Recent reports have suggested a superiority of outcomes with the vertical approach compared to the traditional lateral approach. This study…

View details →DOI: 10.1007/s00381-026-07353-2
Negative / Null Result ReportOpen accessComputer Science

Does Interaction Improve Bayesian Reasoning with Visualization?

Ab Mosca, Alvitta Ottley, Remco Chang · 2021 · arXiv

Interaction enables users to navigate large amounts of data effectively, supports cognitive processing, and increases data representation methods. However, there have been few attempts to empirically demonstrate whether adding interaction to a static visualization improves its function beyond popular beliefs. In this paper, we address this gap. We use a classic Bayesian reasoning task as a testbed for evaluating whether allowing users to interact with a static visualization can improve their reasoning. Through two crowdsourced studies, we show that adding interaction to a static Bayesian reaso

Negative / Null Result Report

Under-correction is not advisable in valgus knee and lateral approach is more feasible than medial approach to achieve this: A 5-year follow-up study

Li S, Chai H, Bao W et al. · 2026 · Preprint

Abstract Background: It is commonly recommended to restore the mechanical axis to within –0° ± 3° in valgus knee. However, the situation is quite different when the alignment is –3° or 3° in the presence of a compromised MCL in Ranawat…

View details →DOI: 10.21203/rs.3.rs-9715753/v1
Negative / Null Result ReportOpen accessComputer Science

Batch normalization does not improve initialization

Joris Dannemann, Gero Junike · 2025 · arXiv

Batch normalization is one of the most important regularization techniques for neural networks, significantly improving training by centering the layers of the neural network. There have been several attempts to provide a theoretical justification for batch ormalization. Santurkar and Tsipras (2018) [How does batch normalization help optimization? Advances in neural information rocessing systems, 31] claim that batch normalization improves initialization. We provide a counterexample showing that this claim s not true, i.e., batch normalization does not improve initialization.

Negative / Null Result ReportOpen accessMedicine

Dexmedetomidine for improving postpartum sleep quality following cesarean section in women: a randomized controlled trial.

Gao J, Hu CC, Wang XY et al. · 2026 · Frontiers in medicine

Background Perinatal sleep disturbance is highly prevalent among women undergoing elective cesarean section. Dexmedetomidine has been proven effective in improving sleep quality in patients undergoing general surgery, and this study aimed…

View details →DOI: 10.3389/fmed.2026.1823100
Negative / Null Result ReportOpen accessComputer Science

Neural document expansion for ad-hoc information retrieval

Cheng Tang, Andrew Arnold · 2020 · arXiv

Recently, Nogueira et al. [2019] proposed a new approach to document expansion based on a neural Seq2Seq model, showing significant improvement on short text retrieval task. However, this approach needs a large amount of in-domain training data. In this paper, we show that this neural document expansion approach can be effectively adapted to standard IR tasks, where labels are scarce and many long documents are present.