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 427 of 663
Pang, Hageman, Lou · 2026 · International journal of pharmaceutics
Tissue back pressure is an important indicator of tissue resistance during subcutaneous injection and is associated with injection performance and patient experience. Currently, assessments of tissue back pressure during injection are…
Jordan M. Slagowski, Erik Pearson, Rajit Tummala et al. · 2025 · arXiv
Techniques for preclinical intensity modulated radiation therapy are being developed to improve translation by replicating the clinical paradigm. This study presents the first treatment planning comparison between small animal IMRT (SA-IMRT) and three-dimensional conformal radiotherapy (CRT) in a model application, oxygen-guided dose painting of tumor hypoxia, using actual mouse data. A novel compensator-based platform was employed to generate SA-IMRT and CRT plans with 2-15 beam angles for seventeen mice with fibrosarcoma tumors. The whole tumor received a dose of 22.5 Gy, with a simultaneous
Jose A. Rivera, Carmen E. Gonzalez, Tonita Bates · 2024 · JCO Oncology Practice
327 Background: Delayed assessment of diagnostic imaging (DI) significant actionable findings (AFs) at an oncological center prompted the creation of a safety net system which used technological advancements to improve communication…
Jimmy Lin, Daniel Campos, Nick Craswell et al. · 2021 · arXiv
Leaderboards are a ubiquitous part of modern research in applied machine learning. By design, they sort entries into some linear order, where the top-scoring entry is recognized as the "state of the art" (SOTA). Due to the rapid progress being made in information retrieval today, particularly with neural models, the top entry in a leaderboard is replaced with some regularity. These are touted as improvements in the state of the art. Such pronouncements, however, are almost never qualified with significance testing. In the context of the MS MARCO document ranking leaderboard, we pose a specific
Indranil Saha, Raveesh Bindal · 2024 · Nigerian Journal of Ophthalmology
A 62-year-old man presented with a 1-day history of sudden vision loss in the right eye, while the left eye remained unaffected. Upon examination, the best corrected visual acuity (BCVA) was finger counting in the right eye and 20/20 (0.00…
Max Langtry, Vijja Wichitwechkarn, Rebecca Ward et al. · 2024 · arXiv
Data is required to develop forecasting models for use in Model Predictive Control (MPC) schemes in building energy systems. However, data is costly to both collect and exploit. Determining cost optimal data usage strategies requires understanding of the forecast accuracy and resulting MPC operational performance it enables. This study investigates the performance of both simple and state-of-the-art machine learning prediction models for MPC in multi-building energy systems using a simulated case study with historic building energy data. The impact on forecast accuracy of measures to improve m
Nguyen Ngoc Hung · 2015 · arXiv
A classical theorem of John Thompson on character degrees asserts that if the degree of every ordinary irreducible character of a finite group $G$ is 1 or divisible by a prime $p$, then $G$ has a normal $p$-complement. We obtain a significant improvement of this result by considering the average of $p'$-degrees of irreducible characters. We also consider fields of character values and prove several improvements of earlier related results.
M. A. Subhan, M. A. Rahman, M. S. Rahaman · 2014 · Journal of Scientific Research
The effect of some biologically significant transition metal complexes such as [Fe(bpy)Cl4] [bpy-H], [Co(bpy)(phen)2](NO3)2·2H2O, [Fe(PDCl4][PD-H], [Cu(L)(NO3)2], [Cu(phen)2] Cl2·2H2O and [Cu(PD)(phen)2](NO3)2·2H2O…
G Holleran, B Hall, N Breslin et al. · 2014 · Gut
Introduction Angiodysplasias account for up to 50% of causes of small bowel bleeding and due to their relative inaccessibility and the intermittent nature of their bleeding they present a particular therapeutic challenge. Endoscopic…
Xiaolong Jin, Xuandong Zhao, Wenbo Guo et al. · 2026 · arXiv
Reinforcement learning with verifiable rewards (RLVR) has driven substantial progress in large language model reasoning, but relies on ground-truth supervision that is costly or infeasible, especially in coding tasks. Recent work addresses this by deriving rewards from a model's own signals, such as majority voting or confidence-based scores, achieving notable success on mathematical reasoning benchmarks. However, code generation poses distinct challenges: programs are structurally complex, semantically equivalent solutions may differ syntactically, and verification typically requires executio
Jason Dury · 2026 · arXiv
Dense retrieval systems rank passages by embedding similarity to a query, but multi-hop questions require passages that are associatively related through shared reasoning chains. We introduce Association-Augmented Retrieval (AAR), a lightweight transductive reranking method that trains a small MLP (4.2M parameters) to learn associative relationships between passages in embedding space using contrastive learning on co-occurrence annotations. At inference time, AAR reranks an initial dense retrieval candidate set using bi-directional association scoring. On HotpotQA, AAR improves passage Recall@
Raeshell S. Sweeting, Hong J. Kim, Albert S. Baldwin · 2012 · Cancer Research
Abstract Pancreatic cancer is a highly aggressive cancer that is resistant to most drug therapies. Lung cancer is the number one cause of cancer deaths in the US and worldwide. Both of these tumors are known to have high levels of Ras…
Shaukat Ali Syed, Mazhar Iqbal Bhatti · 2022 · Pakistan BioMedical Journal
Purpose of the current study is to investigate the effect of attachment with significant others one motion regulation and quality of sleep among youth was to find out the impact of attachment with parents and peers on emotional regulation…
Hyunseok JEE, Sae Yong LEE · 2020 · Iranian Journal of Public Health
Background: Knee disease is prevalent in the post middle-aged and associated with lower quality of life. Knee disease (i.e., anterior cruciate ligament, ACL) related injury preventive program should be supported. We examined the…
Mohammed Anwer Jassim, Darin Mohammed Tofiq Mohammed · 2023 · Photogrammetric Engineering & Remote Sensing
The transformation of global navigation satellite systems coordi- nates between any two datums represents a vital procedure. Although the geocentric coordinates (X, Y, Z) of two datums can be trans- formed using the 7-parameters method,…
Yining Lu, Dixuan Wang, Tianjian Li et al. · 2024 · arXiv
As LLMs become increasingly prevalent, it is interesting to consider how ``creative'' these models can be. From cognitive science, creativity consists of at least two key characteristics: \emph{convergent} thinking (purposefulness to achieve a given goal) and \emph{divergent} thinking (adaptability to explore new environments or constraints) \citep{runco2003critical}. In this work, we introduce a framework for quantifying LLM creativity that incorporates the two design ingredients: (1) We introduce DENIAL PROMPTING which pushes LLMs to develop more creative solutions to a given problem by incr
Tristan Piater, Niklas Penzel, Gideon Stein et al. · 2024 · arXiv
A substantial body of research has focused on developing systems that assist medical professionals during labor-intensive early screening processes, many based on convolutional deep-learning architectures. Recently, multiple studies explored the application of so-called self-attention mechanisms in the vision domain. These studies often report empirical improvements over fully convolutional approaches on various datasets and tasks. To evaluate this trend for medical imaging, we extend two widely adopted convolutional architectures with different self-attention variants on two different medical
R.A Amelia, Retno Wulandari · 2023 · SIGNIFICANT : Journal Of Research And Multidisciplinary
Penelitian ini bertujuan untuk mengidentifikasi taman kanak-kanak playgroup berdasarkan model pembelajaran sentra dan untuk mengetahui bagaimana guru memberikan insentif selama kegiatan pembelajaran. Penelitian ini dilakukan pada kelompok…
Littlejohn, Zuckerman, Gargurevich et al. · 2026 · Journal of asthma and allergy
Determine if there is a difference in race, socioeconomic factors and baseline asthma severity at the time of biologic initiation and whether those characteristics are associated with response to therapy within 18 months of initiation.…
H Nossier, E Ali, H Attia et al. · 2026 · European Heart Journal - Cardiovascular Imaging
Abstract Introduction Among the various types of congenital heart diseases (CHDs), significant left-to-right shunts such as ventricular septal defects (VSDs) alter normal cardiac physiology and hemodynamics, leading to increased volume…
Alberto Nardin, Eddy Ardonne, Leonardo Mazza · 2022 · arXiv
We prove a generic spin-statistics relation for the fractional quasiparticles that appear in abelian quantum Hall states on the disk. The proof is based on an efficient way for computing the Berry phase acquired by a generic quasiparticle translated in the plane along a circular path, and on the crucial fact that once the gauge-invariant generator of rotations is projected onto a Landau level, it fractionalizes among the quasiparticles and the edge. Using these results we define a measurable quasiparticle fractional spin that satisfies the spin-statistics relation. As an application, we predic
Seyed Amir Kasaei, Arash Marioriyad, Mahbod Khaleti et al. · 2026 · arXiv
Large Vision-Language Models (LVLMs) have achieved remarkable proficiency in explicit visual recognition, effectively describing what is directly visible in an image. However, a critical cognitive gap emerges when the visual input serves only as a clue rather than the answer. We identify that current models struggle with the complex, multi-step reasoning required to solve problems where information is not explicitly depicted. Successfully solving a rebus puzzle requires a distinct cognitive workflow: the model must extract visual and textual attributes, retrieve linguistic prior knowledge (suc
Shen, Dai, Hu et al. · 2026 · Quantitative imaging in medicine and surgery
Inguinal lymph node (ILN) metastasis significantly affects prognosis and treatment strategies in patients with gynecological malignancies. Conventional ultrasound (US) provides morphological assessment but has limited sensitivity for…
Alexander Contreras-Payares, Pablo G. Lustemberg, M. Verónica Ganduglia-Pirovano · 2025 · arXiv
The vibrational frequency of carbon monoxide (CO) adsorbed on ceria-based catalysts serves as a sensitive probe for identifying exposed surface facets, provided that experimental reference data on well-defined single-crystal surfaces and reliable theoretical assignments are available. Previous studies have shown that the hybrid DFT approach using the HSE06 functional yields good agreement with experimental observations, whereas the generalized gradient approximation (GGA) with PBE+U does not. In this work, we assess the performance of different exchange-correlation functionals by comparing the
Andrew C. Collazzi, Bradley E. Schaefer · 2008 · arXiv
Firmani et al. proposed a new Gamma Ray Burst (GRB) luminosity relation that showed a significant improvement over the L_iso-E_peak relation. The new proposed relation simply modifies the E_peak value by multiplying it by a power of T_0.45, where T_0.45 is a particular measure of the GRB duration. We begin by reproducing the results of Firmani for his 19 bursts. We then test the Firmani relation for the same 19 bursts except that we use independently measured values for L_iso, T_0.45, and E_peak, and we find that the relation deteriorates substantially. We further test the relation by using 60
Yusuke Motoji, Ryuji Fukazawa, Miyagi Yasuo et al. · 2022 · Circulation
Introduction: Kawasaki disease (KD) is an acute form of systemic vasculitis that may promote atherosclerosis in adulthood. We reported last year that CAWS vasculitis, a KD-like vasculitis, induces atherosclerosis in ApoE -/- mice and that…
Utkarsh, Chris Elrod, Yingbo Ma et al. · 2022 · arXiv
Numerically solving ordinary differential equations (ODEs) is a naturally serial process and as a result the vast majority of ODE solver software are serial. In this manuscript we developed a set of parallelized ODE solvers using extrapolation methods which exploit "parallelism within the method" so that arbitrary user ODEs can be parallelized. We describe the specific choices made in the implementation of the explicit and implicit extrapolation methods which allow for generating low overhead static schedules to then exploit with optimized multi-threaded implementations. We demonstrate that wh
Michael A. Cole, Aristeidis Lamprianidis, Ilya V. Shadrivov et al. · 2018 · arXiv
Metasurfaces are an enabling technology for complex wave manipulation functions, including in the terahertz frequency range, where they are expected to advance security, imaging, sensing, and communications technology. For operation in transmission, Huygens' metasurfaces are commonly used, since their good impedance match to the surrounding media minimizes reflections and maximizes transmission. Recent theoretical work has shown that Huygens' metasurfaces are non-optimal, particularly for large angles of refraction, and that to eliminate reflections and spurious diffracted beams it is necessar
Luh Gd Rahayu Budiarta, I Putu Indra Kusuma · 2024 · Jurnal Pendidikan Bahasa Inggris undiksha
The advent of ChatGPT has surprised many English educators, as theoretically, it has many potentials to support English language teaching. However, the empirical results of how ChatGPT influence English as a foreign language (henceforth,…
Baruch Barzel · 2022 · TheScienceBreaker
When a complex social, biological or ecological network collapses, we seek to steer it back towards functionality. Our recent work maps unique conditions - the recoverable phase - when this can be achieved by controlling just one…