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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.
Yan Wang, Ning Wang · 2026 · Frontiers in Medicine
Background This study evaluates and compares the performance of Artificial Intelligence Assessment (AIA) and Clinical Expert Assessment (CEA) in assessing clinical skills. Methods Data were collected during two clinical skills competitions…
View details →Yibo Wang, Yuanyuan Mao, Lik-Hang Lee et al. · 2024 · arXiv
The AR 3D book has shown significant potential in enhancing students' learning outcomes. However, the creation process of 3D books requires a significant investment of time, effort, and specialized skills. Thus, in this paper, we first conduct a three-day workshop investigating how AI can support the automated creation of 3D books. Informed by the design insights derived from the workshop, we developed Metabook, a system that enables even novice users to create 3D books from text automatically. To our knowledge, Metabook is the first system to offer end-to-end 3D book generation. A follow-up s
View details →Mandar Patil, Pankaj S. Joshi, Masashi Kimura et al. · 2011 · arXiv
We explore the Reissner-Nordström naked singularities with a charge $Q$ larger than its mass $M$ from the perspective of the particle acceleration. We first consider a collision between two test particles following the radial geodesics in the Reissner-Nordström naked singular geometry. An initially radially ingoing particle turns back due to the repulsive effect of gravity in the vicinity of naked singularity. Such a particle then collides with an another radially ingoing particle. We show that the center of mass energy of collision taking place at $r \approx M$ is unbound, in the limit where
View details →Keith Harrigian, Tina Tang, Anthony Gonzales et al. · 2023 · arXiv
Diabetic eye disease is a major cause of blindness worldwide. The ability to monitor relevant clinical trajectories and detect lapses in care is critical to managing the disease and preventing blindness. Alas, much of the information necessary to support these goals is found only in the free text of the electronic medical record. To fill this information gap, we introduce a system for extracting evidence from clinical text of 19 clinical concepts related to diabetic eye disease and inferring relevant attributes for each. In developing this ophthalmology phenotyping system, we are also afforded
View details →Harsh Deshpande, Kushal Chawla, Sangwoo Cho et al. · 2026 · arXiv
Production agentic systems routinely face evolving constraints and must comply from the very next interaction. Scenarios like a tool-call notification changing a compliance threshold or a policy update adding disclosure requirements fit this criteria, having close to no room for errors in production. This proactive adaptation setting is common in deployment, but absent from current benchmarks, which assume either static constraint sets or reactive protocols with evaluation feedback. We introduce RECAP, a benchmark that measures continual-learning phenomena (forgetting, regression, forward tran
View details →C. Alard · 2016 · arXiv
The cosmic horseshoe gravitational lens is analyzed using the perturbative approach. The two first order perturbative fields are expanded in Fourier series. The source is reconstructed using a fine adaptive grid. The expansion of the fields at order 2 produces a higher value of the chi-square. Expanding at order 3 provides a very significant improvement, while order 4 does not bring a significant improvement over order 3. The presence of the order 3 terms is not a consequence of limiting the perturbative expansion to the first order. The amplitude and signs of the third order terms are recover
View details →Chaima Ben Rabah, Ahmed Serag · 2026 · Machine Learning and Knowledge Extraction
Foundation models (FMs) are increasingly proposed as general-purpose solutions for computational pathology, with the potential to simplify clinical artificial intelligence deployment by reducing the need for task-specific architectures.…
View details →Valerie A. Canady · 2025 · Mental Health Weekly
An AI therapist cannot replicate the nuanced empathy and therapeutic alliance of human therapists when delivering cognitive behavioral therapy (CBT), concluded researchers of a new study presented during the American Psychiatric…
View details →Yoshihiko Saito, Sadanori Okada, Hisao Ogawa et al. · 2016 · Circulation
Introduction: It takes long time to conclude efficacy and safety of an intervention on primary prevention of cardiovascular events. Up to date, there is no study to investigate the effect of the low-dose aspirin therapy on primary…
View details →Leonel Prieto, Arman Canatay, Muhammad R. Amin · 2025 · Sustainable Development
ABSTRACT Political regimes significantly determine the ability of nations to develop in one way or another. The current crisis of democracy has prompted the following question: to what degree does democracy deliver? To answer this…
View details →Yeonghoon Jin, Jin-Woo Cho, Mikhail A. Kats · 2025 · APL Photonics
In passive sky-facing radiative cooling, wavelength-selective thermal emitters in the atmospheric transparency window of 8–13 μm can reach lower temperatures compared to broadband emitters, but broadband emitters always have higher cooling…
View details →P. Sirabella, A. Giuliani, A. Colosimo · 1998 · arXiv
This paper reports about an approach to the classification of proteins' primary structures taking advantage of the Self Organizing Maps algorithm and of a numerical coding of the aminoacids based upon their physico-chemical properties. Hydrophobicity, volume, surface area, hydrophilicity, bulkiness, refractivity and polarity were subjected to a Principal Component Analysis and the first two principal components, explaining 84.8 % of the total observed variability, were used to cluster the aminoacids into 4 or 5 classes through a k-means algorithm. This leads to an economical representation of
View details →Md Monirojjaman Monshi, Sadegh Mehdi Aghaei, Irene Calizo · 2017 · arXiv
First-principles calculations based on density functional theory (DFT) have been employed to investigate the structural, electronic, and gas-sensing properties of pure, defected, and doped germanene nanosheets. Our calculations have revealed that while a pristine germanene nanosheet adsorbs CO2 weakly, H2S moderately, and SO2 strongly, the introduction of vacancy defects increases the sensitivity significantly which is promising for future gas-sensing applications.Mulliken population analysis imparts that an appreciable amount of charge transfer occurs between gas molecules and a germanene nan
View details →Deepu Mathew · 2024 · Indian Journal of Horticulture
The suitability of leading carrot cvs. for cultivation under the hot and humid tropical plains of Kerala state was assessed. Sixteen cvs., including nine tropical varieties, two temperate varieties and five temperate hybrids, were…
View details →Jorge Quintas · 2023 · International Criminal Justice Review
This article tests the impact of deterrence and normative variables in the estimation of drug use among both detected drug users and university students. Consistent with perceptual deterrence research, we expect: (a) a stronger effect of…
View details →Andreas Ammann · 2025 · Judaica. Neue digitale Folge
In today’s scholarship, no one would question the fact that the author of 4 Maccabees is unknown. However, for many centuries the work was believed to have been written by Flavius Josephus. This article investigates when exactly in the…
View details →Jingjing Huo, Christian Herold, Yingbo Gao et al. · 2020 · arXiv
Context-aware neural machine translation (NMT) is a promising direction to improve the translation quality by making use of the additional context, e.g., document-level translation, or having meta-information. Although there exist various architectures and analyses, the effectiveness of different context-aware NMT models is not well explored yet. This paper analyzes the performance of document-level NMT models on four diverse domains with a varied amount of parallel document-level bilingual data. We conduct a comprehensive set of experiments to investigate the impact of document-level NMT. We
View details →Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad et al. · 2021 · arXiv
This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia". The task aims at analyzing social media posts relevant to water quality with particular focus on the aspects like watercolor, smell, taste, and related illnesses. To this aim, a multimodal dataset containing both textual and visual information along with meta-data is provided. Considering the quality and quantity of available content, we mainly focus on textual information by employing three different models individually and jointly in a late-fusion manner. These models includ
View details →Daniel I. Rhon, Tina A. Greenlee, Rachel Mayhew et al. · 2022 · Journal of the American Academy of Orthopaedic Surgeons
Introduction: After elective orthopaedic surgery, many individuals go on to become long-term opioid users. Mitigating this risk has become a priority for surgeons, other members of the medical care team, and healthcare systems. The purpose…
View details →Ilmari Kangasniemi · 2019 · arXiv
Suppose that $M$ is a closed, connected, and oriented Riemannian $n$-manifold, $f \colon \mathbb{R}^n \to M$ is a quasiregular map automorphic under a discrete group $Γ$ of Euclidean isometries, and $f$ has finite multiplicity in a fundamental cell of $Γ$. We show that if $Γ$ has a sufficiently large translation subgroup $Γ_T$, then $\dim Γ\in \{0, n-1, n\}$. If $f$ is strongly automorphic and induces a non-injective Lattès-type uniformly quasiregular map, then the same holds without the assumption on the size of $Γ_T$. Moreover, an even stronger restriction holds in the Lattès case if $M$ is
View details →Tao Han, Benjamin Nachman, Xing Wang · 2018 · arXiv
It is extremely challenging to probe the charm-quark Yukawa coupling at hadron colliders primarily due to the large Standard Model (SM) background (including $h\to b\bar b$) and the lack of an effective trigger for the signal $h\to c\bar c$. We examine the feasibility of probing this coupling at the LHC via a Higgs radiative decay $h\rightarrow c\bar{c}γ$. The existence of an additional photon in the final state may help for the signal identification and background suppression. Adopting a refined triggering strategy and utilizing basic machine learning, we find that a coupling limit of about 8
View details →Mitchell Miller, Dale Prondzinski · 2020 · Journal of Accounting and Finance
This study compared the returns of stocks with dividends with the returns of the market. It compared the S&P 500 Dividend Aristocrat Index with the Center for Research in Security Prices (CRSP) U.S. Total Stock Market Index. In addition, a…
View details →Zhongwei Zhang, Erich Fischer, Jakob Zscheischler et al. · 2026 · Science Advances
Artificial intelligence (AI)–based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on various benchmark tasks. However, their ability to extrapolate and reliably forecast…
View details →John A. Helmuth, Hei-Wai Lee · 2011 · International Business & Economics Research Journal (IBER)
This paper investigates the claim, by the Department of Commerce, that a portfolio of Baldrige National Quality Award winners outperforms the market. They find that there is a 92 percent return for Baldrige winners as compared to a 33…
View details →Tatar, Coşgun · 2026 · BMC oral health
BACKGROUND: Enamel pretreatment with a deproteinization agent enhances fissure sealant bonding. This in vitro study investigates the effect of surface preparation methods and thermal cycling on the shear bond strength of fissure sealants…
View details →Yuan Wen · 2026 · International Journal of Business & Management Studies
We compare the Heterogeneous Autoregressive (HAR) model with a novel Continuous Memory System (CMS) for forecasting realized volatility. CMS employs 12 exponential moving averages with adaptive decay rates modulated by learned,…
View details →K. A. Assamagan, N. Gollub · 2004 · arXiv
The feasibility of detecting a heavy charged Higgs boson, m(H^{+-})>m(t)+m(b), decaying in the H^{+-}->tb channel is studied with the fast simulation of the ATLAS detector. We study the gg->H^{+-}tb production process at the LHC which together with the aforementioned decay channel leads to four b-quarks in the final state. The whole production and decay chain reads gg->H^{+-}tb->t\bar{t}b\bar{b}->b\bar{b}b\bar{b}lν\bar{q}q'. Combinatorial background is a major difficulty in this multi-jet environment but can be overcome by employing multivariate techniques in the event reconstruction. Requirin
View details →Xianglong Tan, Matteo Pellegrini, Su Yon Jung · 2026 · Clinical Epigenetics
Abstract Background Epigenetic aging bridges the gap between biological and chronological age by exploiting DNA methylation (DNAm) patterns. Over the past decade, successive DNAm-based clocks have been introduced, beginning with the…
View details →Francis Lali, Kay Raftery, Hannah Levy et al. · 2026 · Spine
Study Design. Finite element (FE) analysis of retrospective clinical cohort. Objective. To determine whether preoperative CT-derived FE model outputs can improve subsidence prediction compared to conventional clinical measurements alone in…
View details →Yu, Choy, Bian et al. · 2026 · International journal of molecular sciences
Repeated low-level red light (RLRL) has been reported to control myopia progression clinically. Given safety concerns with laser sources, light-emitting diodes (LED)-sourced red light represents a promising alternative. This study…
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