21,778 real negative results, null findings, and replication failures. 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.
Paul H. Blankenship-Lai · 2025 · OKH Journal: Anthropological Ethnography and Analysis Through the Eyes of Christian Faith
This article asks what spirituality is like for young adults living on the streets of Seattle. It is based on more than five years of ethnographic fieldwork and is, as J. Derrick Lemons put it, “a theologically engaged anthropology”…
View details →Nnaemeka Ohamadike · 2023 · Politeia
This paper critiques Gibson et al.’s (2015) study on the relationship between technical assistance and patronage spending in sub-Saharan Africa after the Cold War. It identifies errors in the authors’ methods, including severe…
View details →Thomas Dlugosch, Sebastian Kirsch, K. Andreas Friedrich · 2019 · ECS Meeting Abstracts
One key factor for the commercialization of fuel cell vehicles is a sufficient membrane durability. In this context, car manufactures work on reliability accelerated stress test procedures (AST) to measure membrane lifetime. There have…
View details →R. A. Vernyaeva, S. R. Zaynullina · 2020 · Intellekt. Sist. Proizv.
В работе представлено количественно-статистическое исследование языковых единиц древнейших русских летописей. Инструментом для получения необходимых выборок стал модуль n-грамм ИАС «Манускрипт», позволяющий выявить текстовые сочетания с…
View details →Ana Drob, Casandra Brașoveanu · 2022 · JOURNAL OF ANCIENT HISTORY AND ARCHAEOLOGY
The ʽaccidentalʼ discovery of archaeological material represents an ordinary fact in today’s archaeology. Unfortunately, most of these discoveries have no archaeological context, thwarting the possibility of integrating the objects in more…
View details →Eleonora Massa · 2016 · Linguistik Online
This paper develops a theoretical discussion about the definition of the unit of content in spoken language. The issue originates from the applicative field of corpus-based lexico-statistical surveys, which are traditionally and…
View details →Todd E Golde · 2023 · Alzheimer's & Dementia
Abstract Background Immunoproteostasis is a term describing the relationship between the immune system, proteinopathies present in many neurodegenerative disorders, and brain cell dysfunction. The relevance of immunoproteostasis to…
View details →Wade Munroe · 2023 · Episteme
Abstract Evidentialism as an account of theoretical rationality is a popular and well-defended position. However, recently, it's been argued that misleading higher-order evidence (HOE) – that is, evidence about one's evidence or about…
View details →Peerapong Santiwong, Kantrakorn Dutsadeeviroj, Kittithad Potchanarungvakul et al. · 2023 · International Journal of Environmental Research and Public Health
Patients with a fixed orthodontic appliance may have difficulties in maintaining good oral health-related quality of life (OHRQoL), and evaluating self-perceived OHRQoL in orthodontic patients could be challenging for their orthodontists.…
View details →Miyazaki, Ishigo, Yamada et al. · 2026 · Journal of pharmaceutical health care and sciences
Candidemia has high mortality and requires early antifungal stewardship (AFS). Management by non-infectious disease specialists has been associated with worse outcomes, particularly in small- and medium-sized hospitals where infectious…
View details →A.M. Pyatnitskiy, V.M. Gukasov · 2025 · Medicina i vysokie tehnologii
The task of searching for clusters in sequences arises when analyzing various medical and biological data. This may be searching for clusters of events (outbreaks of events) in epidemiology, searching for areas of increased mutation…
View details →Shauna Lucine Dworatzek, Marissa Tozer, Kathryn Austin et al. · 2025 · The Canadian Entomologist
Abstract The phenomenon of insect emergence represents a transfer of mass and energy from aquatic to terrestrial systems and is a critical part of ecosystem connectivity and functioning. Traditional methods of studying insect emergence…
View details →Nikhil N. Verma · 2016 · Arthroscopy
Abstract Identification of symptomatic long head biceps pathology continues to be a clinical challenge. Magnetic resonance imaging may fail to identify symptomatic lesions when present. Clinicians must maintain a high index of suspicion,…
View details →F. S. Lobyrev · 2024 · Uspehi sovremennoj biologii
The regularities that determine the preservation and/or change of statistically significant differences during the transition from comparing the average values of plastic signs of juvenile fish to comparing the average values of their…
View details →A. Hietanen, K. Kajantie, M. Laine et al. · 2008 · arXiv
We update Monte Carlo simulations of the three-dimensional SU(3) + adjoint Higgs theory, by extrapolating carefully to the infinite volume and continuum limits, in order to estimate the contribution of the infrared modes to the pressure of hot QCD. The sum of infrared contributions beyond the known 4-loop order turns out to be a smooth function, of a reasonable magnitude and specific sign. Unfortunately, adding this function to the known 4-loop terms does not improve the match to four-dimensional lattice data, in spite of the fact that other quantities, such as correlation lengths, spatial str
View details →Yunxiao Zhang, Nan Huo, Liang Cui et al. · 2022 · arXiv
In classical coherence theory, coherence time is typically related to the bandwidth of the optical field. Narrowing the bandwidth will result in the lengthening of the coherence time. This will erase temporal distinguishability of photons due to time delay in pulsed photon interference. However, this is changed in an SU(1,1)-type quantum interferometer where quantum entanglement is involved. In this paper, we investigate how the temporal coherence of the fields in a pulse-pumped SU(1,1) interferometer changes with the bandwidth of optical filtering. We find that, because of the quantum entangl
View details →Lei Wang, Ee-Peng Lim · 2024 · arXiv
Large language models (LLMs) have shown excellent performance on various NLP tasks. To use LLMs as strong sequential recommenders, we explore the in-context learning approach to sequential recommendation. We investigate the effects of instruction format, task consistency, demonstration selection, and number of demonstrations. As increasing the number of demonstrations in ICL does not improve accuracy despite using a long prompt, we propose a novel method called LLMSRec-Syn that incorporates multiple demonstration users into one aggregated demonstration. Our experiments on three recommendation
View details →Maximilian Spliethöver, Jonas Klaff, Hendrik Heuer · 2019 · arXiv
Attention mechanisms have seen some success for natural language processing downstream tasks in recent years and generated new State-of-the-Art results. A thorough evaluation of the attention mechanism for the task of Argumentation Mining is missing, though. With this paper, we report a comparative evaluation of attention layers in combination with a bidirectional long short-term memory network, which is the current state-of-the-art approach to the unit segmentation task. We also compare sentence-level contextualized word embeddings to pre-generated ones. Our findings suggest that for this tas
View details →Yuval Kirstain, Patrick Lewis, Sebastian Riedel et al. · 2021 · arXiv
We investigate the dynamics of increasing the number of model parameters versus the number of labeled examples across a wide variety of tasks. Our exploration reveals that while scaling parameters consistently yields performance improvements, the contribution of additional examples highly depends on the task's format. Specifically, in open question answering tasks, enlarging the training set does not improve performance. In contrast, classification, extractive question answering, and multiple choice tasks benefit so much from additional examples that collecting a few hundred examples is often
View details →Nicolas Burq, Nicolas Camps, Mickaël Latocca et al. · 2024 · arXiv
We consider the Wick ordered cubic Schrödinger equation (NLS) posed on the two-dimensional sphere, with initial data distributed according to a Gaussian measure. We show that the second Picard iteration does not improve the regularity of the initial data in the scale of the classical Sobolev spaces. This is in sharp contrast with the Wick ordered NLS on the two-dimensional tori, a model for which we know from the work of Bourgain that the second Picard iteration gains one half derivative. Our proof relies on identifying a singular part of the nonlinearity. We show that this singular part is re
View details →Örs Legeza, Florian Gebhard, Jörg Rissler · 2005 · arXiv
For the one-dimensional Hubbard model subject to periodic boundary conditions we construct a unitary transformation between basis states so that open boundary conditions apply for the transformed Hamiltonian. Despite the fact that the one-particle and two-particle interaction matrices link nearest and next-nearest neighbors only, the performance of the density-matrix renormalization group method for the transformed Hamiltonian does not improve. Some of the new interactions act as independent quantum channels which generate the same level of entanglement as periodic boundary conditions in the o
View details →Pierre Boullier · 1996 · arXiv
In this paper we present a new parsing algorithm for linear indexed grammars (LIGs) in the same spirit as the one described in (Vijay-Shanker and Weir, 1993) for tree adjoining grammars. For a LIG $L$ and an input string $x$ of length $n$, we build a non ambiguous context-free grammar whose sentences are all (and exclusively) valid derivation sequences in $L$ which lead to $x$. We show that this grammar can be built in ${\cal O}(n^6)$ time and that individual parses can be extracted in linear time with the size of the extracted parse tree. Though this ${\cal O}(n^6)$ upper bound does not impro
View details →Ryoutaro Watanabe · 2017 · arXiv
We study possible new physics (NP) effects on $B_c \to J/ψτ\barν$, which has been recently measured at LHCb as the ratio of $R_{J/ψ} = \mathcal B(B_c \to J/ψτ\barν)/\mathcal B(B_c \to J/ψμ\barν)$. Combining it with the long-standing $R_{D^{(*)}}$ measurements, in which the discrepancy with the prediction of the standard model is present, we find possible solutions to the anomaly by several NP types. Then, we see that adding the $R_{J/ψ}$ measurement does not improve NP fit to data, but the NP scenarios still give better $χ^2$ than the SM. We also investigate indirect NP constraints from the li
View details →A. Donini, E. Fernandez-Martinez, S. Rigolin · 2004 · arXiv
In this letter we present the study of the eightfold degeneracy in the $(θ_{13},δ)$ measurement including both appearance and disappearance channels. We analyse, for definiteness, the case of a standard low-$γ$ $β$-Beam and a 4 MWatt SPL Super-Beam facility, both aiming at a UNO-like Mton water Cerenkov detector located at the Frejus laboratory, $L = 130$ km. In the $β$-Beam case, the \nue disappearance channel does not improve the $(θ_{13},δ)$ measurement when a realistic (i.e. $\ge$ 2%) systematic error is included. In the Super-Beam case, the \numu disappearance channel could, instead, be q
View details →Chen Cai, Yusu Wang · 2020 · arXiv
Graph Neural Networks (GNNs) have achieved a lot of success on graph-structured data. However, it is observed that the performance of graph neural networks does not improve as the number of layers increases. This effect, known as over-smoothing, has been analyzed mostly in linear cases. In this paper, we build upon previous results \cite{oono2019graph} to further analyze the over-smoothing effect in the general graph neural network architecture. We show when the weight matrix satisfies the conditions determined by the spectrum of augmented normalized Laplacian, the Dirichlet energy of embeddin
View details →Ngoc Minh Lai · 2022 · arXiv
Processing complex and ambiguous named entities is a challenging research problem, but it has not received sufficient attention from the natural language processing community. In this short paper, we present our participation in the English track of SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition. Inspired by the recent advances in pretrained Transformer language models, we propose a simple yet effective Transformer-based baseline for the task. Despite its simplicity, our proposed approach shows competitive results in the leaderboard as we ranked 12 over 30 teams. Our syste
View details →Christian Mollière, Iker Cumplido, Marco Zeulner et al. · 2025 · arXiv
The rapid growth of data from satellite-based Earth observation (EO) systems poses significant challenges in data transmission and storage. We evaluate the potential of task-specific learned compression algorithms in this context to reduce data volumes while retaining crucial information. In detail, we compare traditional compression (JPEG 2000) versus a learned compression approach (Discretized Mixed Gaussian Likelihood) on three EO segmentation tasks: Fire, cloud, and building detection. Learned compression notably outperforms JPEG 2000 for large-scale, multi-channel optical imagery in both
View details →Gilles Chardon · 2014 · arXiv
The scattering of waves by obstacles in a 2D setting is considered, in particular the computation of the scattered field via the collocation or the least-squares methods. In the case of multiple scattering by smooth obstacles, we prove that the scattered field can be uniformly approximated by sums of multipoles. For a unique obstacle, the choice of the number of points and their positions for the estimation of the error on the border of the scatterer is studied, showing the benefit of using a non-uniform distribution of points dependent on the scatterer and the approximation scheme. In general
View details →Schauer JM · 2023 · Multivariate behavioral research
A prominent approach to studying the replication crisis has been to conduct replications of several different scientific findings as part of the same research effort. The reported proportion of findings that these programs determined…
View details →Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld · 2020 · arXiv
Many NLP applications, such as biomedical data and technical support, have 10-100 million tokens of in-domain data and limited computational resources for learning from it. How should we train a language model in this scenario? Most language modeling research considers either a small dataset with a closed vocabulary (like the standard 1 million token Penn Treebank), or the whole web with byte-pair encoding. We show that for our target setting in English, initialising and freezing input embeddings using in-domain data can improve language model performance by providing a useful representation o
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