Negative / Null Result ReportOpen accessPhysics
Michael P. Grehan, Tanisha Ghosal, James R. Beattie et al. · 2025 · arXiv
High-energy astrophysical systems and compact objects are frequently modeled using ideal relativistic magnetohydrodynamic (MHD) or force-free electrodynamic (FFE) simulations, with the underlying assumption that the discretisation from the numerical scheme introduces an effective (numerical) magnetic resistivity that adequately resembles an explicit resistivity. However, it is crucial to note that numerical resistivity can fail to replicate essential features of explicit resistivity. In this study, we compare the 1D resistive decay and 2D reconnection properties of four commonly used physical
Negative / Null Result Report
Ivy Elkins, Phillip A. Lancaster, Robert L. Larson et al. · 2026 · Animals
Cow efficiency is vitally important to beef sustainability, and computer simulation models may be useful tools to identify characteristics of the most efficient cow genotypes for a given production environment. The objective of this…
View details →DOI: 10.3390/ani16030372 Negative / Null Result Report
Agnieszka K. Borowik, Frederick F. Peelor, Esther E. Dupont‐Versteegden et al. · 2022 · The FASEB Journal
Skeletal muscle is a heterogenous tissue composed of multinucleated muscle fibers and accompanying supporting cells like satellite cells (SCs). Myonuclei are believed to be post‐mitotic, arrested in G0 phase of the cell cycle and thus…
View details →DOI: 10.1096/fasebj.2022.36.s1.r5037 Negative / Null Result Report
Markus Maier, Moritz Dechamps · 2022 · Journal of Scientific Exploration
Micro-psychokinesis (micro-PK) research studies the effects of observers’ conscious or unconscious intentions on random outcomes derived from true random sources such as quantum random number generators (QRNGs). The micro-PK study…
View details →DOI: 10.31275/20222235 Negative / Null Result Report
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 →DOI: 10.36950/jndf.2025.20 Negative / Null Result ReportOpen accessComputer Science
Nilesh Kumar Sahu, Snehil Gupta, Haroon R Lone · 2025 · arXiv
Social Anxiety Disorder (SAD) is a widespread mental health condition, yet its lack of objective markers hinders timely detection and intervention. While previous research has focused on behavioral and non-verbal markers of SAD in structured activities (e.g., speeches or interviews), these settings fail to replicate real-world, unstructured social interactions fully. Identifying non-verbal markers in naturalistic, unstaged environments is essential for developing ubiquitous and non-intrusive monitoring solutions. To address this gap, we present AnxietyFaceTrack, a study leveraging facial video
Negative / Null Result ReportOpen accessComputer Science
Syed Kazmi, Berk Gorgulu, Mucahit Cevik et al. · 2023 · arXiv
Wind power forecasting helps with the planning for the power systems by contributing to having a higher level of certainty in decision-making. Due to the randomness inherent to meteorological events (e.g., wind speeds), making highly accurate long-term predictions for wind power can be extremely difficult. One approach to remedy this challenge is to utilize weather information from multiple points across a geographical grid to obtain a holistic view of the wind patterns, along with temporal information from the previous power outputs of the wind farms. Our proposed CNN-RNN architecture combine
Negative / Null Result ReportMedicine
Ding, Lou, Liang et al. · 2026 · Journal of animal science and biotechnology
Amuc_1100, the most abundant outer membrane protein of Akkermansia muciniphila, alleviates high-fat diet (HFD)-induced hepatic lipid accumulation and modulates gut microbiota in fish; however, its mechanism and mediators remain unknown.…
View details →DOI: 10.1186/s40104-026-01418-7 Negative / Null Result ReportOpen accessEngineering
Di Wu, Yifei Jia, Siyuan Li et al. · 2025 · arXiv
Neurophysiological decoding, fundamental to advancing brain-computer interface (BCI) technologies, has significantly benefited from recent advances in deep learning. However, existing decoding approaches largely remain constrained to single-task scenarios and individual subjects, limiting their broader applicability and generalizability. Efforts towards creating large-scale neurophysiological foundation models have shown promise, but continue to struggle with significant challenges due to pervasive data heterogeneity across subjects and decoding tasks. Simply increasing model parameters and da
Negative / Null Result Report
Dr. Ambrues Monboe Nebo · 2023 · International Journal of Research and Scientific Innovation
From a qualitative comparative analysis method, this article assesses the possibility of Liberia replicating the Singapore experience as one of the least corrupt Countries in the world. Regarding fighting corruption, the study identified…
View details →DOI: 10.51244/ijrsi.2023.10603 Negative / Null Result Report
Jennifer Nguyen, Ranjith Anand, Guy-Franck Richard et al. · 2012 · The FASEB Journal
Trinucleotide repeats form secondary DNA structures that can lead to chromosomal instability, breakage, and fork stalling during replication. Srs2, a non‐replicative helicase, anti‐recombinase that can displace Rad51, and interacts with…
View details →DOI: 10.1096/fasebj.26.1_supplement.741.2 Negative / Null Result Report
Lukas Rudolph · 2026 · Journal of Experimental Political Science
Abstract Can survey experiments replicate real-world behavioral intent and behavior? I study a population in rural Bangladesh ( N ∼ 1600) along the banks of the Jamuna River, at risk of riverbank erosion and flooding. I compare their…
View details →DOI: 10.1017/xps.2026.10035 Negative / Null Result Report
Luke Carson, Ravi Ramessur, Neil Rajan et al. · 2026 · British Journal of Dermatology
Abstract Expert consensus is essential to prioritize clinical research funding towards unmet patient needs. The Delphi method is widely used but requires multiple survey rounds and considerable clinician time. The British Association of…
View details →DOI: 10.1093/bjd/ljag086.254 Negative / Null Result ReportOpen accessComputer Science
Emily L. Aiken, Andre T. Nguyen, Mauricio Santillana · 2019 · arXiv
We introduce the use of a Gated Recurrent Unit (GRU) for influenza prediction at the state- and city-level in the US, and experiment with the inclusion of real-time flu-related Internet search data. We find that a GRU has lower prediction error than current state-of-the-art methods for data-driven influenza prediction at time horizons of over two weeks. In contrast with other machine learning approaches, the inclusion of real-time Internet search data does not improve GRU predictions.
Negative / Null Result Report
Arsenii Ivanovich Alekseev · 2024 · Право и политика
The article analyzes the consequences of the failed reorganization of the corporation and the recognition by the court of the reorganization of the corporation as invalid by referring to the nature and content of such categories as the…
View details →DOI: 10.7256/2454-0706.2024.5.70611 Negative / Null Result Report
Wiji Hastuti · 2026 · Jurnal Komplikasi Anestesi
The management of failed spinal anesthesia is a significant challenge in surgical procedures. Spinal anesthesia failure can occur either partially or totally, often leading to conversion to general anesthesia, which adds clinical risks and…
View details →DOI: 10.22146/jka.v13i1.27741 Negative / Null Result ReportOpen accessComputer Science
Sungmin Cha, Kyunghyun Cho · 2024 · arXiv
Continual learning (CL) aims to train a model on a sequence of tasks (i.e., a CL scenario) while balancing the trade-off between plasticity (learning new tasks) and stability (retaining prior knowledge). The dominantly adopted conventional evaluation protocol for CL algorithms selects the best hyperparameters (e.g., learning rate, mini-batch size, regularization strengths, etc.) within a given scenario and then evaluates the algorithms using these hyperparameters in the same scenario. However, this protocol has significant shortcomings: it overestimates the CL capacity of algorithms and relies
Negative / Null Result ReportOpen accessComputer Science
Jiarui Xie, Mutahar Safdar, Andrei Mircea et al. · 2024 · arXiv
Machine learning (ML)-based cyber-physical systems (CPSs) have been extensively developed to improve the print quality of additive manufacturing (AM). However, the reproducibility of these systems, as presented in published research, has not been thoroughly investigated due to a lack of formal evaluation methods. Reproducibility, a critical component of trustworthy artificial intelligence, is achieved when an independent team can replicate the findings or artifacts of a study using a different experimental setup and achieve comparable performance. In many publications, critical information nec
Negative / Null Result Report
Praveen Rai · 2024 · Qeios
The General Elections 2024 miraculously halted the declining political graph of the Indian National Congress and doubled its presence (seats won) in the lower house of parliament since the national hustings in 2019. The strategies…
View details →DOI: 10.32388/dykmp6.3 Negative / Null Result ReportOpen accessComputer Science
Xun Liang, Huayi Lai, Hanyu Wang et al. · 2025 · arXiv
Large language models (LLMs) have gained significant traction in medical decision support systems, particularly in the context of medical question answering and role-playing simulations. A common practice, Prompt-Based Role Playing (PBRP), instructs models to adopt different clinical roles (e.g., medical students, residents, attending physicians) to simulate varied professional behaviors. However, the impact of such role prompts on model reasoning capabilities remains unclear. This study introduces the RP-Neuron-Activated Evaluation Framework(RPNA) to evaluate whether role prompts induce disti
Negative / Null Result ReportOpen accessPhysics
Matthew S. Clement, Nathan A. Kaib, John E. Chambers · 2019 · arXiv
Of the solar system's four terrestrial planets, the origin of Mercury is perhaps the most mysterious. Modern numerical simulations designed to model the dynamics of terrestrial planet formation systematically fail to replicate Mercury; which possesses just 5% the mass of Earth and the highest orbital eccentricity and inclination among the planets. However, Mercury's large iron-rich core and low volatile inventory stand out among the inner planets, and seem to imply a violent collisional origin. Because most algorithms used for simulating terrestrial accretion do not consider the effects of col
Negative / Null Result Report
Aftab Haider, Ayesha Sadiq · 2025 · Qualitative Research Journal for Social Studies
Pakistan faces significant economic challenges, including industrial underdevelopment, limited foreign direct investment (FDI), high poverty rates, and low human capital. In contrast, China’s economic policies have driven remarkable…
View details →DOI: 10.63878/qrjs353 Negative / Null Result ReportOpen accessComputer Science
Sarah Ball, Simeon Allmendinger, Frauke Kreuter et al. · 2025 · arXiv
Generative AI (GenAI) is increasingly used in survey contexts to simulate human preferences. While many research endeavors evaluate the quality of synthetic GenAI data by comparing model-generated responses to gold-standard survey results, fundamental questions about the validity and reliability of using LLMs as substitutes for human respondents remain. Our study provides a technical analysis of how demographic attributes and prompt variations influence latent opinion mappings in large language models (LLMs) and evaluates their suitability for survey-based predictions. Using 14 different model
Negative / Null Result Report
shireesh apte · 2017 · International Journal of Pharmaceutical Excipients
It seems evident that the ill-defined weltanschauung of the past decade of enabling oral un-truncated permeability-dependent protein delivery carte-blanche using existing excipients has produced sparse results. Existing excipients are…
View details →DOI: 10.66617/001c.1328 Negative / Null Result Report
Behnam Liaghat · 2026 · JOSPT Cases
BACKGROUND: SLAP lesions commonly cause shoulder pain and dysfunction. Most patients recover after repair, but some have persistent limitations from stiffness or anchor over-tightening. However, first rib dysfunction represents an…
View details →DOI: 10.2519/josptcases.2026.0220 Negative / Null Result Report
Heba El-Sagheer Aly · 2025 · Hawwa
Abstract Tracing the impact of revolutionary despair on Egyptian society, this study suggests that, although people who witnessed and participated in the 25th of January 2011 revolution in Egypt experienced a sense of collectivity and…
View details →DOI: 10.1163/15692086-12341428 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Valentina Macchiati, Piero Mazzarisi, Diego Garlaschelli · 2024 · arXiv
Networks of financial exposures are the key propagators of risk and distress among banks, but their empirical structure is not publicly available because of confidentiality. This limitation has triggered the development of methods of network reconstruction from partial, aggregate information. Unfortunately, even the best methods available fail in replicating the number of directed cycles, which on the other hand play a crucial role in determining graph spectra and hence the degree of network stability and systemic risk. Here we address this challenge by exploiting the hypothesis that the stati
Negative / Null Result ReportOpen accessComputer Science
Mert Albaba, Sammy Christen, Thomas Langarek et al. · 2024 · arXiv
Acquiring complex behaviors is essential for artificially intelligent agents, yet learning these behaviors in high-dimensional settings poses a significant challenge due to the vast search space. Traditional reinforcement learning (RL) requires extensive manual effort for reward function engineering. Inverse reinforcement learning (IRL) uncovers reward functions from expert demonstrations but relies on an iterative process that is often computationally expensive. Imitation learning (IL) provides a more efficient alternative by directly comparing an agent's actions to expert demonstrations; how
Negative / Null Result ReportOpen accessPhysics
Naiara Patiño, Nuria Calvet, Gladis Magris et al. · 2026 · arXiv
Magnetospheric accretion is the paradigm for accretion in Classical T-Tauri Stars (CTTS). However, the standard, one-flow magnetospheric accretion model fails to replicate important characteristics such as the observed Balmer decrements. We address this limitation by adopting a model with two axisymmetric magnetospheric accretion flows of different accretion rates and geometries. We calculate the fluxes of the hydrogen $H_α$, $H_β$, and $H_γ$ lines of each flow with the magnetospheric accretion model and use Bayesian statistics to fit the Balmer line fluxes of 139 CTTS in the Orion OB1b subass
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Damien Ackerer, Natasa Tagasovska, Thibault Vatter · 2019 · arXiv
We present a neural network (NN) approach to fit and predict implied volatility surfaces (IVSs). Atypically to standard NN applications, financial industry practitioners use such models equally to replicate market prices and to value other financial instruments. In other words, low training losses are as important as generalization capabilities. Importantly, IVS models need to generate realistic arbitrage-free option prices, meaning that no portfolio can lead to risk-free profits. We propose an approach guaranteeing the absence of arbitrage opportunities by penalizing the loss using soft const
