Negative / Null Result ReportMedicine
Akın AE, Erkan S, Okcu G · 2026 · Journal of pediatric orthopedics
Background Medial epicondyle fractures represent a common pediatric elbow injury, yet a definitive consensus on treatment remains absent. In literature, long-term sensory and motor outcomes after surgical fixation remain underreported.…
View details →DOI: 10.1097/bpo.0000000000003317 Negative / Null Result ReportMedicine
Shi L, Liu X, Qiu T et al. · 2026 · BMC public health
Background HIV and syphilis are sexually transmitted diseases (STDs) that share transmission routes and risks factors. Many countries face the dual challenge of HIV and syphilis epidemics. Co-infection can mutually accelerate disease…
View details →DOI: 10.1186/s12889-026-28199-y Negative / Null Result ReportOpen accessMedicine
Hung E, Negraeff A, Watson C et al. · 2026 · Journal of medical entomology
Blood-feeding stable flies, Stomoxys calcitrans (L.), are reportedly attracted to conspecific feces. We investigated whether stable flies are attracted to fly feces-derived bacteria, and whether attraction varies with bacterial species and…
View details →DOI: 10.1093/jme/tjag084 Negative / Null Result ReportMedicine
Bastian GE, Desai-Shah H, Fitzgerald N et al. · 2026 · Journal of nutrition education and behavior
Objective Evaluate the impacts of an evidence-based, school-based, gamified nutrition education curriculum (Rev It Up!) for high schoolers from communities with low income. Methods Secondary analysis of 2021-2022 New Jersey Expanded Food…
View details →DOI: 10.1016/j.jneb.2026.04.009 Negative / Null Result Report
Ibrahim RS, Abbas MW, Nasiru A · 2026 · Preprint
Abstract Background: Exogenous enzymes are increasingly used in ruminant nutrition to improve feed utilization and reduce nutrient losses. This study evaluated the the effects of different exogenous enzyme inclusions on growth performance,…
View details →DOI: 10.21203/rs.3.rs-8833196/v1 Negative / Null Result Report
Petty CJ, Isaman M, Perez LP et al. · 2026 · Preprint
Abstract Background Obesity continues to be a public health issue in our country. Additionally, there continues to be a higher incidence of severe obesity for women compared to men. Among the proposed causes of obesity is increased hedonic…
View details →DOI: 10.21203/rs.3.rs-9557496/v1 Negative / Null Result ReportOpen accessMedicine
McGrath LG, Holck HW, Teixeira AJ et al. · 2026 · BJUI compass
Objectives To investigate how patient-specific factors, including race and socioeconomic status, impact time to treatment initiation (TTI) for patients with small renal masses (SRMs). Materials and methods We retrospectively reviewed 275…
View details →DOI: 10.1002/bco2.70115 Negative / Null Result ReportMedicine
Jiang Y, Luo J, Zheng L et al. · 2026 · The journal of obstetrics and gynaecology research
Aim To examine the association between the distribution of energy and macronutrients between dinner and breakfast and depressive symptoms in early pregnancy. Methods This study used baseline data from a maternity cohort conducted in Wuhan,…
View details →DOI: 10.1111/jog.70298 Negative / Null Result ReportMedicine
Kagami M, Kataoka Y, Hirao Y et al. · 2026 · IEEE transactions on visualization and computer graphics
Augmented Reality (AR) can enhance accessibility by anchoring virtual windows to the user's body. Among common approaches, head-following windows help maintain floating virtual windows within the user's field of view. Previous studies have…
View details →DOI: 10.1109/tvcg.2026.3679137 Negative / Null Result ReportMedicine
Myllylä IL, Wiklund M, Haakana V et al. · 2026 · Clinical linguistics & phonetics
Speech of persons on the autism spectrum is often described as prosodically distinctive, yet the perceptual basis and acoustic correlates of these judgements remain undefined. We investigated how prosodic typicality is perceived in…
View details →DOI: 10.1080/02699206.2026.2642726 Negative / Null Result ReportOpen accessMedicine
Filtness AJ, Miller KA, Maynard S et al. · 2026 · Scientific reports
Driver sleepiness contributes to a substantial proportion of road crashes. Drivers experiencing sleepiness are advised to take a break and have a caffeinated drink followed by a short nap (caffeine nap). However, previous research…
View details →DOI: 10.1038/s41598-026-42894-1 Negative / Null Result Report
Widłak P, Malara M, Kuk A et al. · 2026 · Preprint
Abstract Movement quality and postural control are crucial for performance and injury prevention in team-sport athletes. Although FMS and YBT are commonly used, their ability to predict injury risk is limited when used alone. Therefore,…
View details →DOI: 10.21203/rs.3.rs-9464599/v1 Negative / Null Result Report
Etoundi JC, Juhel A · 2026 · Preprint
Social media use has been identified as a significant risk factor for the development and maintenance of eating disorders, particularly among young adults. Despite the growing urgency of this public health issue, effective prevention…
View details →DOI: 10.31234/osf.io/txeqz_v1 Negative / Null Result ReportMedicine
Chowdhury A, Dasgupta D · 2026 · Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
Objective : Present study delineates to explore the relation of actual body weight and body self-image perception among tribal adolescent girls and boys. Materials and methods : This cross sectional study is conducted at Purulia district…
View details →DOI: 10.1127/anthranz/1945 Negative / Null Result ReportOpen accessMedicine
Zanco B, Mirth CK, Sgrò CM et al. · 2026 · npj aging
Dietary restriction may extend lifespan by improving late-life gut health. Because micronutrients mediate the effects of macronutrient ratios on longevity, we examined how cholesterol limitation affects gut health in female Drosophila…
View details →DOI: 10.1038/s41514-026-00341-5 Negative / Null Result ReportOpen accessPhysics
Yoav Simhon, Alex Segal, Ofer Amrani et al. · 2025 · arXiv
Scintillator-SiPM Particle Detectors (SSPDs) are compact, low-power devices with applications including particle physics, underground tomography, cosmic-ray studies, and space instrumentation. They are based on a prism-shaped scintillator with corner-mounted SiPMs. Previous work has demonstrated that analytic algorithms based on a physical model of light propagation can reconstruct particle impinging positions and tracks and estimate deposited energy and Linear Energy Transfer (LET) with moderate accuracy. In this study, we enhance this approach by applying machine learning (ML) methods, speci
Negative / Null Result ReportOpen accessComputer Science
Yang Liu, Yixing Luo, Xiaofeng Li et al. · 2026 · arXiv
Time series anomaly detection (TSAD) is essential for ensuring the safety and reliability of aerospace software systems. Although large language models (LLMs) provide a promising training-free alternative to unsupervised approaches, their effectiveness in aerospace settings remains under-examined because of complex telemetry, misaligned evaluation metrics, and the absence of domain knowledge. To address this gap, we introduce ATSADBench, the first benchmark for aerospace TSAD. ATSADBench comprises nine tasks that combine three pattern-wise anomaly types, univariate and multivariate signals, an
Negative / Null Result ReportOpen accessComputer Science
Mandhapati P. Raju, Siddhartha Khaitan · 2009 · arXiv
The study deals with the parallelization of finite element based Navier-Stokes codes using domain decomposition and state-ofart sparse direct solvers. There has been significant improvement in the performance of sparse direct solvers. Parallel sparse direct solvers are not found to exhibit good scalability. Hence, the parallelization of sparse direct solvers is done using domain decomposition techniques. A highly efficient sparse direct solver PARDISO is used in this study. The scalability of both Newton and modified Newton algorithms are tested.
Negative / Null Result ReportOpen accessMathematics
Antonio Liguori, Matias Quintana, Chun Fu et al. · 2023 · arXiv
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learning methods, are typically required to reflect the non-linear behavior of these anomalies. As an ongoing research question related to Deep Learning, a model's applicability to limited data settings can be explored by introducing prior knowledge in the network. This same strategy can also lead to more interpretable predictions, hence facilitating the field application of the approach. For that purpose, the aim of this
Negative / Null Result ReportOpen accessComputer Science
O. Behrend, R. Harris, P. Warren · 1993 · arXiv
We present a numerical analysis of the validity of classical and generalized hydrodynamics for Lattice Boltzmann Equation (LBE) and Lattice BGK methods in two and three dimensions, as a function of the collision parameters of these models. Our analysis is based on the wave-number dependence of the evolution operator. Good ranges of validity are found for BGK models as long as the relaxation time is chosen smaller than or equal to unity. The additional freedom in the choice of collision parameters for LBE models does not seem to give significant improvement.
Negative / Null Result ReportOpen accessPhysics
Motonari Tonegawa, Tomonori Totani, Masayuki Akiyama et al. · 2013 · arXiv
The efficient selection of high-redshift emission galaxies is important for future large galaxy redshift surveys for cosmology. Here we describe the target selection methods for the FastSound project, a redshift survey for H alpha emitting galaxies at z=1.2-1.5 using Subaru/FMOS to measure the linear growth rate fσ8 via Redshift Space Distortion (RSD) and constrain the theory of gravity. To select ~400 target galaxies in the 0.2 deg^2 FMOS field-of-view from photometric data of CFHTLS-Wide (u*g'r'i'z'), we test several different methods based on color-color diagrams or photometric redshift est
Negative / Null Result ReportOpen accessComputer Science
V. S. Raghu Parupudi · 2025 · arXiv
Vector comparison in high dimensions is a fundamental task in NLP, yet it is dominated by two baselines: the raw dot product, which is unbounded and sensitive to vector norms, and the cosine similarity, which discards magnitude information entirely. This paper challenges both standards by proposing and rigorously evaluating a new class of parameter-free, magnitude-aware similarity metrics. I introduce two such functions, Overlap Similarity (OS) and Hyperbolic Tangent Similarity (HTS), designed to integrate vector magnitude and alignment in a more principled manner. To ensure that my findings a
Negative / Null Result ReportOpen accessPhysics
A. D. Kulkarni, R. M. Shannon, D. J. Reardon et al. · 2024 · arXiv
Pulse-to-pulse profile shape variations introduce correlations in pulsar times of arrival (TOAs) across radio frequency measured at the same observational epoch. This leads to a broadband noise in excess of radiometer noise, which is termed pulse jitter noise. The presence of jitter noise limits the achievable timing precision and decreases the sensitivity of pulsar-timing data sets to signals of interest such as nanohertz-frequency gravitational waves. Current white noise models used in pulsar timing analyses attempt to account for this, assuming complete correlation of uncertainties through
Negative / Null Result ReportOpen accessComputer Science
Sungjin Park, Seungwoo Ryu, Edward Choi · 2022 · arXiv
Recent success of pre-trained language models (PLMs) has stimulated interest in their ability to understand and work with numbers. Yet, the numerical reasoning over measurements has not been formally studied despite their importance. In this study, we show that PLMs lack the capability required for reasoning over measurements. Furthermore, we find that a language model trained on a measurement-rich corpus shows better performance on understanding measurements. We propose a simple embedding strategy to better distinguish between numbers and units, which leads to a significant improvement in the
Negative / Null Result ReportOpen accessComputer Science
Ramnath Kumar, Tristan Deleu, Yoshua Bengio · 2022 · arXiv
Recent studies show that task distribution plays a vital role in the meta-learner's performance. Conventional wisdom is that task diversity should improve the performance of meta-learning. In this work, we find evidence to the contrary; (i) our experiments draw into question the efficacy of our learned models: similar manifolds can be learned with a subset of the data (lower task diversity). This finding questions the advantage of providing more data to the model, and (ii) adding diversity to the task distribution (higher task diversity) sometimes hinders the model and does not lead to a signi
Negative / Null Result ReportOpen accessComputer Science
Wojciech Zaremba, Evgenia Nitishinskaya, Boaz Barak et al. · 2025 · arXiv
We conduct experiments on the impact of increasing inference-time compute in reasoning models (specifically OpenAI o1-preview and o1-mini) on their robustness to adversarial attacks. We find that across a variety of attacks, increased inference-time compute leads to improved robustness. In many cases (with important exceptions), the fraction of model samples where the attack succeeds tends to zero as the amount of test-time compute grows. We perform no adversarial training for the tasks we study, and we increase inference-time compute by simply allowing the models to spend more compute on reas
Negative / Null Result ReportOpen accessMathematics
Guido De Philippis, Michael Goldman, Berardo Ruffini · 2023 · arXiv
We consider a branched transport type problem which describes the magnetic flux through type-I superconductors in a regime of very weak applied fields. At the boundary of the sample, deviation of the magnetization from being uniform is penalized through a negative Sobolev norm. It was conjectured by S. Conti, F. Otto and S. Serfaty that as a result, the trace of the magnetization on the boundary should be a measure of Hausdorff dimension $8/5$. We prove that this conjecture is equivalent to the proof of local energy bounds with an optimal exponent. We then obtain local bounds which are however
Negative / Null Result ReportOpen accessMathematics
Saahil Ognawala, Justin Bayer · 2014 · arXiv
Advancements in parallel processing have lead to a surge in multilayer perceptrons' (MLP) applications and deep learning in the past decades. Recurrent Neural Networks (RNNs) give additional representational power to feedforward MLPs by providing a way to treat sequential data. However, RNNs are hard to train using conventional error backpropagation methods because of the difficulty in relating inputs over many time-steps. Regularization approaches from MLP sphere, like dropout and noisy weight training, have been insufficiently applied and tested on simple RNNs. Moreover, solutions have been
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Yuda Bi, Vince D Calhoun · 2026 · arXiv
We address the attribution problem for apparent slow collective dynamics: is the observed persistence intrinsic, or inherited from a persistent driver? For the leading eigenvalue fraction $ψ_1=λ_{\max}/N$ of S\&P 500 60-day rolling correlation matrices ($237$ stocks, 2004--2023), a VIX-coupled Ornstein--Uhlenbeck model reduces the effective relaxation time from $298$ to $61$ trading days and improves the fit over bare mean reversion by $Δ$BIC$=109$. On the decomposition sample, an informational residual of $\log(\mathrm{VIX})$ alone retains most of that gain ($Δ$BIC$=78.6$), whereas a mechanic
Negative / Null Result ReportOpen accessComputer Science
Hongxu Zhou · 2026 · arXiv
Intrinsic self-correction in Large Language Models (LLMs) frequently fails in open-ended reasoning tasks due to ``hallucination snowballing,'' a phenomenon in which models recursively justify early errors during free-text reflection. While structured feedback can mitigate this issue, existing approaches often rely on externally trained critics or symbolic tools, reducing agent autonomy. This study investigates whether enforcing structured reflection purely through Outlines-based constrained decoding can disrupt error propagation without additional training. Evaluating an 8-billion-parameter mo
