Negative / Null Result ReportOpen accessMedicine
Ruben P. A. van Eijk, Daphne N. Weemering, Sarah Opie-Martin et al. · 2025 · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Objective To characterize the natural history of the revised ALS functional rating scale (ALSFRS-R) over a 24-month period following initial assessment, and to assess its associations with survival.Methods Longitudinal ALSFRS-R…
View details →DOI: 10.1080/21678421.2024.2443985Cited by 9 Negative / Null Result ReportOpen accessMedicine
Agamemnon Bakakos, Zoi Sotiropoulou, Nektarios Anagnostopoulos et al. · 2025 · Respiratory Medicine
Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality around the globe. Its main characteristics are persistent respiratory symptoms and progressive airflow limitation, both of which are driven by chronic inflammation. Despite the use of maximum bronchodilation and in selected patients inhaled corticosteroids (ICS), current therapies neither halt disease progression nor prevent exacerbations and loss of lung function. Recent research has focused on developing novel anti-inflammatory agents targeting specific pathways implicated in COPD pathogenesis, ai
View details →DOI: 10.1016/j.rmed.2025.108396Cited by 9 Negative / Null Result ReportOpen accessSocial Sciences
Jo Pearson, Itiel E. Dror, Emma Jayes et al. · 2026 · Scientific Reports
The use of Artificial Intelligence (AI) to effectively support human decision making depends on whether humans are willing to trust in, and thus rely on, AI. Understanding human reliance on AI is critical given controversial reports of AI inaccuracy and bias. Furthermore, the erroneous belief that using technology removes biases may lead to overreliance on AI. To examine humans’ reliance on AI, human participants (N = 295, Mage = 33.79) judged the authenticity of 80 faces (40 real, 40 AI-synthesized) presented alongside guidance supposedly from humans or from AI. This guidance was correct only
View details →DOI: 10.1038/s41598-026-34983-yCited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Yuko Shimizu‐Motohashi · 2025 · Brain and Development
Duchenne muscular dystrophy (DMD) is an X-linked neuromuscular disorder caused by variants of the DMD that leads to progressive muscle degeneration. Recent advances in gene therapy have opened new therapeutic avenues, particularly through the use of adeno-associated virus (AAV)-mediated micro-dystrophin delivery. Delandistrogene moxeparvovec, the first FDA-approved gene therapy for DMD, has demonstrated transgene expression and potential functional improvement in early phase trials, although its long-term efficacy, durability, and safety remain unconfirmed. Immune-mediated toxicities including
View details →DOI: 10.1016/j.braindev.2025.104424Cited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel et al. · 2025 · Computers and Electronics in Agriculture
Machine learning and geostatistics are two fundamentally different frameworks for the prediction and spatial mapping of soil properties. Geostatistics leverages the spatial structure of soil properties, whereas machine learning models capture the relationship between available environmental features and soil properties. We propose a hybrid framework that augments machine learning with spatial context through the engineering of ‘spatial lag’ features derived from ordinary kriging. We call this approach ‘kriging prior regression’ (KpR), as it reverses the logic of regression kriging by incorpera
View details →DOI: 10.1016/j.compag.2025.111352Cited by 9 Negative / Null Result ReportOpen accessPsychology
Yohsuke Ohtsubo, Miyu Higuchi · 2022 · Letters on Evolutionary Behavioral Science
This study aimed at replicating a previously reported pattern: costly apologies are perceived as more sincere than non-costly apologies even when the transgression was unintentional, while costly apologies do not foster forgiveness more than non-costly apologies when the transgression was unintentional. We conducted a vignette study with a 2 (apology cost: costly vs. non-costly) × 3 (intention: no vs. ambiguous vs. malicious intention) between-participants factorial design. We failed to replicate the aforementioned pattern. Instead, we found that costly apologies promote not only perceived sin
View details →DOI: 10.5178/lebs.2022.95Cited by 9 Negative / Null Result ReportOpen accessPhysics and Astronomy
Yin-Jie Li, Yuan-Zhu Wang, Shao-Peng Tang et al. · 2025 · The Astrophysical Journal
Abstract The origin of the correlation between the effective spins ( χ eff ) and mass ratios ( q ) of LIGO–Virgo–KAGRA’s binary black holes (BBHs) is still an open question. Motivated by the recent identification of two subpopulations of the BBHs, in this work we investigate the potential χ eff – q correlation for each subpopulation. Surprisingly, the χ eff – q correlation either significantly weakens or disappears for the low-mass subpopulation if we introduce a second χ eff distribution for the high-mass subpopulation, which likely originates from hierarchical mergers. This suggests that the
View details →DOI: 10.3847/1538-4357/add535Cited by 9 Negative / Null Result ReportOpen accessComputer Science
Andrea Espis, Chiara Marzi, Stefano Diciotti · 2025 · Scientific Reports
Self-supervised learning (SSL) in computer vision has shown its potential to reduce reliance on labeled data. However, most studies focused on balanced, large, broad-domain datasets like ImageNet, whereas, in real-world medical applications, dataset size is typically limited. This study compares the performance of SSL versus supervised learning (SL) on small, imbalanced medical imaging datasets. We experimented with four binary classification tasks: age prediction and diagnosis of Alzheimer's disease from brain magnetic resonance imaging scans, pneumonia from chest radiograms, and retinal dise
View details →DOI: 10.1038/s41598-025-99000-0Cited by 9 Negative / Null Result ReportOpen accessEnergy
Haisheng Zhang, Jiawei Li, Haijing Yan et al. · 2025 · Advanced Materials
Proton exchange membrane water electrolysis (PEMWE) is a promising blueprint for the industrial production of green hydrogen in the short term, but its large-scale deployment is extremely constrained by the high cost and low storage of…
View details →DOI: 10.1002/adma.202516207Cited by 9 Negative / Null Result ReportOpen accessMedicine
Aris Liakos, Thomas Karagiannis, Ioannis Avgerinos et al. · 2026 · Current Diabetes Reports
PURPOSE OF REVIEW: The pharmacologic management of type 2 diabetes prioritises sodium-glucose cotransporter 2 (SGLT-2) inhibitors or glucagon-like peptide 1 (GLP-1) receptor agonists for their demonstrated cardiovascular benefits in individuals with atherosclerotic cardiovascular disease or multiple cardiovascular risk factors, chronic kidney disease, and heart failure. However, while current guidelines recommend these drug classes alone, combination therapy is not explicitly advocated. Herein we summarise the rationale and available evidence in support for combination therapy. RECENT FINDINGS
View details →DOI: 10.1007/s11892-025-01616-zCited by 9 Negative / Null Result ReportOpen accessMedicine
Patrick Highton, Mark P. Funnell, Pankaj Gupta et al. · 2025 · Diabetologia
Abstract Medication adherence is critical for optimal glycaemic management and the prevention of complications in type 2 diabetes mellitus. Despite its importance, non-adherence remains a prevalent issue, with global estimates suggesting that approximately 38% of people with type 2 diabetes do not take their medications as prescribed, although estimates vary widely due to a range of patient-related, socioeconomic, condition-related (e.g. chronicity, severity of comorbidities) and healthcare system factors. This review synthesises the current evidence on the prevalence of non-adherence in type
View details →DOI: 10.1007/s00125-025-06617-xCited by 9 Negative / Null Result ReportNeuroscience
Diane Pecher, Heleen van Mierlo, Rouwen Cañal‐Bruland et al. · 2015 · Journal of Experimental Psychology General
Slepian, Masicampo, Toosi, and Ambady (2012, Experiment 1) reported that participants who recalled a big secret estimated a hill as steeper than participants who recalled a small secret. This finding was interpreted as evidence that…
View details →DOI: 10.1037/xge0000090Cited by 9 Negative / Null Result ReportNeuroscience
Nikoletta Symeonidou, Beatrice G. Kuhlmann · 2021 · Cognition & Emotion
Emotion-enhanced memory (EEM) describes the robust memory advantage of emotional over non-emotional stimuli. While extensively investigated with emotional items, it is unclear whether the EEM effect extends to source memory for a neutral…
View details →DOI: 10.1080/02699931.2021.2008323Cited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Bahru M. Gebeyehu, Asie k. Jabir, Getachew Tegegne et al. · 2023 · Remote Sensing
Quantification of hydrologic model prediction uncertainty for various flow quantiles is of great importance for water resource planning and management. Thus, this study is designed to assess the effect of subbasin spatial scale on the hydrological model prediction uncertainty for different flow quantiles. The Soil Water Assessment Tool (SWAT), a geographic information system (GIS) interfaced hydrological model, was used in this study. Here, the spatial variations within the sub-basins of the Omo Gibe River basin in Ethiopia’s Abelti, Wabi, and Gecha watersheds from 1989 to 2020 were examined.
View details →DOI: 10.3390/rs15030611Cited by 9 Negative / Null Result ReportPsychology
Emanuela S. Gritti, Gregory J. Meyer, Robert F. Bornstein et al. · 2020 · Journal of Personality Assessment
We used self-reported narcissistic grandiosity and vulnerability and a component derived from 11 potential grandiosity and narcissism variables (GNVs) coded from Rorschach behavior to predict fluctuations in self-esteem and their links to…
View details →DOI: 10.1080/00223891.2020.1848854Cited by 9 Negative / Null Result ReportOpen accessEngineering
Joao Gabriel Ostrowski, József Menyhárt · 2020 · Acta Polytechnica Hungarica
Based particularly on data technologies, information is rapidly evolving in engineering. In mechanical engineering, maintenance is benefiting the most from data innovations, the reduction of maintenance costs, and the improvement of system…
View details →DOI: 10.12700/aph.17.5.2020.5.8Cited by 9 Negative / Null Result ReportOpen accessNeuroscience
Magdalena Sabat, Bartosz Haładus, Michał Klincewicz et al. · 2022 · Scientific Reports
The perceived duration of an interval depends on numerous aspects of the passed event both endogenous, including physiological arousal, level of wakefulness, attention, and surprise, as well as exogenous such as valence, salience, or context in the environment. There is some evidence that "time-giving" cues from the environment (zeitgebers) are coupled with time perception. The movement of the sun on the horizon was demonstrated to affect interval perception in a study conducted by Schatzschneider et al. (2016) claiming that the sun's motion is a zeitgeber that influences time perception. In t
View details →DOI: 10.1038/s41598-022-18520-1Cited by 9 Negative / Null Result ReportOpen accessMedicine
Pooja Advani, Kathryn J. Ruddy, Joerg Herrmann et al. · 2023 · Frontiers in Oncology
Background The cardiotoxic effects of doxorubicin, trastuzumab, and other anticancer agents are well known, but molecular genetic testing is lacking for the early identification of patients at risk for therapy-related cardiac toxicity. Methods Using the Agena Bioscience MassARRAY system, we genotyped TRPC6 rs77679196, BRINP1 rs62568637, LDB2 rs55756123, RAB22A rs707557, intergenic rs4305714, LINC01060 rs7698718, and CBR3 rs1056892 (V244M) (previously associated with either doxorubicin or trastuzumab-related cardiotoxicity in the NCCTG N9831 trial of anthracycline-based chemotherapy ± trastuzum
View details →DOI: 10.3389/fonc.2023.1139347Cited by 9 Negative / Null Result Report
Chunyuan Zhang, Xu Wu, Yanfang Xian et al. · 2019 · Evidence-Based Complementary and Alternative Medicine
Isorhynchophylline (IRN) and rhynchophylline (RN), a pair of stereoisomers, are tetracyclic oxindole alkaloids isolated from Uncaria rhynchophylla , a commonly used Chinese medicinal herb. These two compounds have drawn extensive attention…
View details →DOI: 10.1155/2019/4016323Cited by 9 Negative / Null Result ReportOpen accessMedicine
Kawthar Al-Salmi, Farook S Wali, Ahmed Sameer Nadeem et al. · 2019 · Journal of Neurology & Stroke
Background: nerve conduction study (NCS) is a neurophysiologic medical diagnostic test used commonly to evaluate the function of the peripheral nerves. It is an extension to the clinical examination and extremely useful to diagnose and…
View details →DOI: 10.15406/jnsk.2019.09.00394Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Yi-Lun Ge, Pu-Zhi Wang, Jia-Hui Yan et al. · 2022 · Advanced Neurology
Hyposmia is one of the cardinal symptoms of Parkinson’s disease (PD), with a considerably high prevalence rate in PD individuals. However, some individuals still retain normal olfactory function. Recent studies have shown that genetic factors may play a role in such a phenomenon. This study aimed to explore the potential genetic factors underlying the variation of olfactory function among PD individuals. Two hundred and three Han Chinese individuals with PD were recruited into this study. All the individuals underwent detailed clinical assessment conducted by experienced neurologists
View details →DOI: 10.36922/an.v1i2.71Cited by 9 Negative / Null Result ReportOpen accessPsychology
Andreea Geambașu, Sybren Spit, Daan van Renswoude et al. · 2022 · Developmental Science
We conducted a close replication of the seminal work by Marcus and colleagues from 1999, which showed that after a brief auditory exposure phase, 7-month-old infants were able to learn and generalize a rule to novel syllables not previously present in the exposure phase. This work became the foundation for the theoretical framework by which we assume that infants are able to learn abstract representations and generalize linguistic rules. While some extensions on the original work have shown evidence of rule learning, the outcomes are mixed, and an exact replication of Marcus et al.'s study has
View details →DOI: 10.1111/desc.13244Cited by 9 Negative / Null Result Report
Mattias Ekre, Jakob Tytor, Mogens Bove et al. · 2020 · Diseases of the Esophagus
Summary Eosinophilic esophagitis (EoE) is a chronic inflammatory condition with eosinophilic infiltration of the esophageal mucosa. The most prominent symptom is dysphagia, which may result in esophageal bolus impaction in need of surgical…
View details →DOI: 10.1093/dote/doaa013Cited by 9 Negative / Null Result ReportComputer Science
Simon Holmbacka, Robert Müller · 2017
Current benchmark suites for evaluating energy efficiency of modern computer systems fail to replicate real-world streaming applications accurately enough because of indeterministic load pattern which depends heavily on the input data of…
View details →DOI: 10.1109/pdp.2017.21Cited by 9 Negative / Null Result ReportOpen accessMedicine
Sara R. Rashkin, Mario A. Cleves, Gary M. Shaw et al. · 2022 · American Journal of Medical Genetics Part A
Abstract Obstructive heart defects (OHDs) share common structural lesions in arteries and cardiac valves, accounting for ~25% of all congenital heart defects. OHDs are highly heritable, resulting from interplay among maternal exposures,…
View details →DOI: 10.1002/ajmg.a.62759Cited by 9 Negative / Null Result ReportOpen accessSocial Sciences
Mariela E. Jaffé, Rainer Greifeneder · 2019 · Journal of Language and Social Psychology
This article investigates the negativity bias in truth judgments, which holds that negatively (vs. positively) framed statements are more likely to be judged true. Throughout four studies we find that expectations moderate the negativity…
View details →DOI: 10.1177/0261927x19869392Cited by 9 Negative / Null Result ReportOpen accessMedicine
Peter Doshi · 2024 · BMJ
A top selling antiplatelet drug has never quite shaken off doubts about its advantage over cheaper rivals. With generic versions of ticagrelor about to launch, Peter Doshi takes a fresh look at the evidence
View details →DOI: 10.1136/bmj.q2550Cited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Aliea M. Jalali, Brent M. Peterson, Thushara Galbadage · 2020 · Frontiers in Public Health
The Coronavirus disease 2019 (COVID-19) pandemic has elicited an abrupt pause in the United States in multiple sectors of commerce and social activity. As the US faces this health crisis, the magnitude and rigor of their initial public health response was unprecedented. As a response, the entire nation shutdown at the state-level for the duration of a ~1-3 months. These public health interventions, however, were not arbitrarily decided, but rather, implemented as a result of evidence-based practices. These practices were a result of lessons learned during the 1918 influenza pandemic and the ci
View details →DOI: 10.3389/fpubh.2020.579559Cited by 9 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Mohammad R. Jahan‐Parvar, Filip Žikeš · 2023 · Review of Financial Studies
Abstract We present evidence that several popular low-frequency measures of effective spread suffer from a volatility-induced bias and that volatility is the primary driver of the variation of these liquidity proxies. Using data for U.S. equities and major foreign exchange rates, we show that the bias arises when the effective spread is small relative to volatility. We document that the bias has become more acute over time and show that volatility-biased measures fail to replicate some well-known results in empirical finance. We conclude by providing guidance on the choice of low-frequency mea
View details →DOI: 10.1093/rfs/hhad028Cited by 9 Negative / Null Result ReportPhysics and Astronomy
Zengyou He, Hao Liang, Zheng Chen et al. · 2020 · IEEE Transactions on Knowledge and Data Engineering
Community detection is a key data analysis problem across different fields. During the past decades, numerous algorithms have been proposed to address this issue. However, most work on community detection does not address the issue of…
View details →DOI: 10.1109/tkde.2020.3015667Cited by 9 