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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.
John Nyland, Ryan Krupp · 2022 · Arthroscopy
Abstract Severe anterior shoulder instability with glenoid bone loss can be very difficult to treat. A recent cadaveric, biomechanical, time‐zero study compared the stability of Bankart repair with long head of the biceps brachi transfer…
View details →M. Telwak, P. Voglewede, M. B. Silver-Thorn · 2014 · Journal of Medical Devices
Recent advances in lower limb prostheses have involved the design of active, powered prosthetic knee and ankle-foot components capable of generating knee and ankle torques similar to that of normal gait. The associated componentry results…
View details →Sabatini, Molinero-Mourelle, Limones et al. · 2026 · The Journal of prosthetic dentistry
Whether the manufacturing protocol (build orientation and sintering schedule) of additively manufactured (AM) zirconia impacts the bond strength compared with subtractively manufactured (SM) zirconia remains unclear. The purpose of this in…
View details →Earl T. Campbell, Joe O'Gorman · 2016 · arXiv
Standard error correction techniques only provide a quantum memory and need extra gadgets to perform computation. Central to quantum algorithms are small angle rotations, which can be fault-tolerantly implemented given a supply of an unconventional species of magic state. We present a low-cost distillation routine for preparing these small angle magic states. Our protocol builds on the work of Duclos-Cianci and Poulin [Phys. Rev. A, 91, 042315 (2015)] by compressing their circuit. Additionally, we present a method of diluting magic states that reduces costs associated with very small angle rot
View details →Maria Zenkova · 2025 · ISTORIYA
The author examines the practice of veneration of St. Clement of Rome within the Western and Eastern Christian churches, as well as in Iceland, where his cult was less widespread. Based on the image of St. Clement in Old Norse literature,…
View details →Dahlia Shehata, Robin Cohen, Charles Clarke · 2024 · arXiv
Conversational prompt-engineering-based large language models (LLMs) have enabled targeted control over the output creation, enhancing versatility, adaptability and adhoc retrieval. From another perspective, digital misinformation has reached alarming levels. The anonymity, availability and reach of social media offer fertile ground for rumours to propagate. This work proposes to leverage the advancement of prompting-dependent LLMs to combat misinformation by extending the research efforts of the RumourEval task on its Twitter dataset. To the end, we employ two prompting-based LLM variants (GP
View details →Surachate Limkumnerd · 2026 · arXiv
Fluctuation relations imply the second-law inequality $\langleΣ_T\rangle\ge0$, but path extrema can also constrain how large the mean entropy production can be. For steady-state processes with entropy-production martingale $M_t=e^{-Σ_t}$, we show that knowing only the positive running maximum of $Σ_t$ gives no improvement over the trivial endpoint bound: rare negative entropy-production excursions can still carry the exponential weight required by the fluctuation relation. Using the running extrema $L_T=\inf M_t$ and $H_T=\sup M_t$, we derive a path-extrema upper envelope $\mathcal{U}_{\rm ext
View details →Zohar Feldman, Carmel Domshlak · 2013 · arXiv
Popular Monte-Carlo tree search (MCTS) algorithms for online planning, such as epsilon-greedy tree search and UCT, aim at rapidly identifying a reasonably good action, but provide rather poor worst-case guarantees on performance improvement over time. In contrast, a recently introduced MCTS algorithm BRUE guarantees exponential-rate improvement over time, yet it is not geared towards identifying reasonably good choices right at the go. We take a stand on the individual strengths of these two classes of algorithms, and show how they can be effectively connected. We then rationalize a principle
View details →Aprina, Rahayu, Prihartono et al. · 2026 · Korean journal of ophthalmology : KJO
To investigate the effect of higher cylindrical power and axis misalignment of toric SCL in mild and moderate astigmatism on visual acuity, contrast sensitivity, visual satisfaction, and vision acceptability. 20 astigmatic participants…
View details →Ravi Shankar Mishra, Kartik Mehta, Nikhil Rasiwasia · 2021 · arXiv
In this paper, we present SANTA, a scalable framework to automatically normalize E-commerce attribute values (e.g. "Win 10 Pro") to a fixed set of pre-defined canonical values (e.g. "Windows 10"). Earlier works on attribute normalization focused on fuzzy string matching (also referred as syntactic matching in this paper). In this work, we first perform an extensive study of nine syntactic matching algorithms and establish that 'cosine' similarity leads to best results, showing 2.7% improvement over commonly used Jaccard index. Next, we argue that string similarity alone is not sufficient for a
View details →Carly Cunningham, Stuart Cantlay, Joseph Horzempa · 2019 · Proceedings of the West Virginia Academy of Science
CARLY CUNNINGHAM, STUART CANTLAY, AND JOSEPH HORZEMPA, Department of Natural Sciences and Mathematics, West Liberty University, West Liberty, WV USA. The ability of VBNC F. tularensis to replicate within THP-1 cells. Francisella…
View details →King Lun Ng, Maciej Bartłomiej Kruk, Piotr Deuar · 2026 · arXiv
We demonstrate how the beyond-mean-field Lee-Huang-Yang (LHY) corrections and its related physics can be naturally incorporated into the representation of an ultracold Bose gas using the truncated Wigner approach without invoking effective energy terms or local density assumptions. By generating a Bogoliubov ground-state representation with appropriately tailored bare interaction strength $g_0$ and condensate density $n_0$, the expected initial energy and densities are obtained while retaining access to quantum effects beyond the reach of the extended Gross-Pitaevskii equation (EGPE) formulati
View details →Max Hopkins, Daniel Kane, Shachar Lovett et al. · 2021 · arXiv
The explosive growth of easily-accessible unlabeled data has lead to growing interest in active learning, a paradigm in which data-hungry learning algorithms adaptively select informative examples in order to lower prohibitively expensive labeling costs. Unfortunately, in standard worst-case models of learning, the active setting often provides no improvement over non-adaptive algorithms. To combat this, a series of recent works have considered a model in which the learner may ask enriched queries beyond labels. While such models have seen success in drastically lowering label costs, they tend
View details →Sarika Arora, Mike Schmidt, James Boylan et al. · 2022 · Journal of Consciousness Studies
Previous research suggests anxious individuals demonstrate hypervigilance for threatening stimuli. Recent controversial studies suggested people's bodies (presentiment) and brain (precognition, Bem, 2011; Bem et al., 2015) can 'predict'…
View details →Mai Vu · 2011 · arXiv
We establish the optimal input signaling and the capacity of MIMO channels under per-antenna power constraint. While admitting a linear eigenbeam structure, the optimal input is no longer diagonalizable by the channel right singular vectors as with sum power constraint. We formulate the capacity optimization as an SDP problem and solve in closed-form the optimal input covariance as a function of the dual variable. We then design an efficient algorithm to find this optimal input signaling for all channel sizes. The proposed algorithm allows for straightforward implementation in practical system
View details →Gulista Khan · 2021 · Asian Journal of Multidimensional Research
Fixing broken computer programs entails performing two basic debugging tasks: first, the programmer must recreate the problem; second, the programmer must identify the source of the failure. As a consequence of testing, software debugging…
View details →Kimberly Gray, Susan Hickenbottom · 2016 · Stroke
Background: Readmissions can negatively impact patients, families and health care organizations. Readmission penalties have resulted in focused efforts around discharge planning, patient engagement and transitional care. Purpose: We…
View details →Elad Hazan, Tomer Koren, Kfir Y. Levy · 2014 · arXiv
The logistic loss function is often advocated in machine learning and statistics as a smooth and strictly convex surrogate for the 0-1 loss. In this paper we investigate the question of whether these smoothness and convexity properties make the logistic loss preferable to other widely considered options such as the hinge loss. We show that in contrast to known asymptotic bounds, as long as the number of prediction/optimization iterations is sub exponential, the logistic loss provides no improvement over a generic non-smooth loss function such as the hinge loss. In particular we show that the c
View details →Cid Reyes-Bustos, Masato Wakayama · 2022 · arXiv
The non-commutative harmonic oscillator (NCHO) is a matrix valued differential operator originally introduced as a generalization of the quantum harmonic oscillator having a weaker $\mathfrak{sl}_2(\mathbb{R})$-symmetry. The spectrum of the NCHO has remarkable properties, including the presence of number theoretical structures such as modular forms, elliptic curves and Eichler cohomology observed in the special values of the associated spectral zeta function. In addition, the Heun ODE picture of the eigenvalue problem of the NCHO reveals a connection with the quantum Rabi model (QRM), a fundam
View details →Mateusz Praski, Jakub Adamczyk, Wojciech Czech · 2025 · arXiv
Pretrained neural networks have attracted significant interest in chemistry and small molecule drug design. Embeddings from these models are widely used for molecular property prediction, virtual screening, and small data learning in molecular chemistry. This study presents the most extensive comparison of such models to date, evaluating 25 models across 25 datasets. Under a fair comparison framework, we assess models spanning various modalities, architectures, and pretraining strategies. Using a dedicated hierarchical Bayesian statistical testing model, we arrive at a surprising result: nearl
View details →Cvetka Grašič Kuhar, Nina Privšek, Marjetka Sraka et al. · 2025 · Frontiers in Oncology
Purpose Electronic patient-reported outcomes (ePROs) are gaining importance. The aim of this study was to investigate the difference in the reporting of symptoms between patients via mobile application (m-app) and doctor assessments.…
View details →Yu, Yu, Sun et al. · 2026 · Frontiers in bioengineering and biotechnology
Proprioceptive deficits following anterior cruciate ligament (ACL) injury increase reliance on visual input in athletes after ACL reconstruction (ACLR). Visual disruption may therefore alter movement patterns and increase re-injury risk.…
View details →El-Tallawy, Pergolizzi, Alsubaie et al. · 2026 · Cureus
Background  Postoperative pain management in children remains a significant challenge due to developmental differences in pain perception, reporting, and communication. However, limited evidence exists regarding age-specific…
View details →Kiarn T. Laverick, Howard M. Wiseman, Hossien T. Dinani et al. · 2017 · arXiv
The problem of measuring a time-varying phase, even when the statistics of the variation is known, is considerably harder than that of measuring a constant phase. In particular, the usual bounds on accuracy - such as the $1/(4\bar{n})$ standard quantum limit with coherent states - do not apply. Here, restricting to coherent states, we are able to analytically obtain the achievable accuracy - the equivalent of the standard quantum limit - for a wide class of phase variation. In particular, we consider the case where the phase has Gaussian statistics and a power-law spectrum equal to $κ^{p-1}/|ω
View details →Shibdas Roy, Ian R. Petersen, Elanor H. Huntington · 2014 · arXiv
We consider a coherent-classical estimation scheme for a class of linear quantum systems. It comprises an estimator that is a mixed quantum-classical system without involving coherent feedback. The estimator yields a classical estimate of a variable for the quantum plant. We demonstrate that for a passive plant that can be characterized by annihilation operators only, such coherent-classical estimation provides no improvement over purely-classical estimation. An example is also given which shows that if the plant is not assumed to be an annihilation operator only quantum system, it is possible
View details →Rittick Roy, Urjit A. Yajnik · 2019 · arXiv
Kerr black holes coupled to quantized bosonic fields display a special version of the Hawking effect, governed by the superradiance condition. This leads to rapid growth of boson cloud through spontaneous creation, leading to slowing down of the black hole, and detectable as growth of the black hole shadow. This can be developed into a technique for searching or constraining the existence of ultralight bosons. We study this phenomenon for spin-0 bosons in the shadow of a black hole, with a detailed analysis of Sgr$A^*$, and put estimates on the evolution time scales and subsequent change in th
View details →Reza Fotohi, Mehdi Effatparvar, Fateme Sarkohaki et al. · 2019 · arXiv
Multicore is an integrated circuit chip that uses two or more computational engines (cores) places in a single processor. This new approach is used to split the computational work of a threaded application and spread it over multiple execution cores, so that the computer system can benefits from a better performance and better responsiveness of the system. A thread is a unit of execution inside a process that is created and maintained to execute a set of actions/ instructions. Threads can be implemented differently from an operating system to another, but the operating system is in most cases
View details →Shi, Qu, Wang et al. · 2026 · Frontiers in microbiology
Human papillomavirus 33 (HPV33) is among the five most prevalent HPV genotypes in China and is commonly involved in co-infections. However, the synergistic effects of specific genotype combinations on cervical carcinogenesis remain…
View details →Oleksandr LYTVYN, Vitalii RUCHKIVSKYI · 2026 · Bases and foundations
The paper presents the results of numerical modeling of the stress-strain state (SSS) of the foundations of a multi-storey residential building with social and cultural facilities and an underground parking in the Shevchenkivskyi district…
View details →Benjamin Bartek, Alexandra Völkner, Stephan Oehme et al. · 2024 · Knee Surgery, Sports Traumatology, Arthroscopy
Abstract Purpose This prospective study aimed to assess whether preoperative antiseptic skin cleansing reduces bacterial contamination and surgical site infections (SSI) following anterior cruciate ligament reconstruction (ACLR). We…
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