Negative / Null Result ReportOpen accessNeuroscience
Pradeep Kumar Singh, Jennifer A. Rybak, Ryan J Schuck et al. · 2024 · Science Advances
Receptor tyrosine kinases (RTKs) regulate many cellular functions and are important targets in pharmaceutical development, particularly in cancer treatment. EGFR and EphA2 are two key RTKs that are associated with oncogenic phenotypes.…
View details →Negative / Null Result ReportOpen accessMedicine
Rickard Strandberg, Fredrik Åberg, Juho Asteljoki et al. · 2025 · BMJ
OBJECTIVE: To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. DESIGN: Population based cohort study. SETTING: Sweden, with validation in Finland and the UK.…
View details →Negative / Null Result ReportOpen accessMedicine
Peter A. Merkel, Michael George, Huibin Yue et al. · 2025 · ACR Open Rheumatology
OBJECTIVE: This study aimed to report the safety of avacopan, an oral selective complement C5a receptor antagonist, using pooled data from clinical trials in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis…
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Jiayi Liu, Weichen Hong, Zhendong Sun et al. · 2026 · Frontiers in Immunology
The proposal of the gut-lung axis has profoundly reshaped our understanding of the mechanisms underlying respiratory diseases. As a crucial component of this axis, the gut microbiota plays a central role in pulmonary immune regulation through inter-organ communication mediated by metabolic products. However, a systematic integration of mechanisms explaining how gut microbes achieve precise cross-organ immune regulation remains elusive. Existing research predominantly focuses on descriptive observations, such as the association between early-life microbiota dysbiosis and an increased risk of as
View details →Negative / Null Result ReportOpen accessMedicine
Bethan Cracknell Daniels, Neil M. Ferguson, Ilaria Dorigatti · 2025 · Nature Medicine
Dengue is the most common arboviral infection, causing substantial morbidity and mortality globally. The licensing of Qdenga, a second-generation vaccine developed by Takeda Pharmaceuticals, is therefore timely, but the potential public health impact of vaccination across transmission settings needs to be evaluated. To address this, we characterized Qdenga's efficacy profile using mathematical models calibrated to published clinical trial data and estimated the public health impact of routine vaccine use. We find that efficacy against both virologically confirmed dengue and hospitalization dep
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş et al. · 2025 · Biology
This study presents a novel approach for classifying Discomycetes species using deep learning and explainable artificial intelligence (XAI) techniques. The EfficientNet-B0 model achieved the highest performance, reaching 97% accuracy, a 97% F1-score, and a 99% AUC, making it the most effective model. MobileNetV3-L followed closely, with 96% accuracy, a 96% F1-score, and a 99% AUC, while ShuffleNet also showed strong results, reaching 95% accuracy and a 95% F1-score. In contrast, the EfficientNet-B4 model exhibited lower performance, achieving 89% accuracy, an 89% F1-score, and a 93% AUC. These
View details →Negative / Null Result ReportOpen accessMedicine
M Berg · 2026 · Acta Dermato Venereologica
Only in Sweden is skin disease reputedly caused by working at visual display units (VDUs) a considerable problem. In the present work facial skin complaints in VDU-exposed persons have been studied by means of epidemiological, clinical and…
View details →Negative / Null Result ReportOpen accessEngineering
Denis A. Zadkov, Nikita MARTYUSHEV, Boris V. Malozyomov et al. · 2026 · Mathematics
In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed. The analyzed dataset includes 259 observations collected over a five-year period for six critical components, with the overall level of censoring reaching 62% and exceeding 70% for long life mechanical subsystems. Considering right, left, and interval censoring, the paper proposes a unified statistical procedure that combines empirical estimation of failure rates with parametric identification using Weibull
View details →Negative / Null Result ReportOpen accessPhysics and Astronomy
Anonymous, G. Baltus, Sarah Caudill et al. · 2026 · Physical review. D/Physical review. D.
We perform a search for binary black hole mergers with one sub-solar mass (SSM) black hole and a primary component above $\sim 2 M_\odot$ in data from the second observing run (O2) of the LIGO-Virgo detectors. Our analysis extends the parameter space explored by previous LIGO-Virgo Collaboration searches for binaries containing SSM components into a region of parameter space motivated by broad mass distributions of primordial black holes (PBHs) exhibiting a peak around $[2-3] M^{}_\odot$, which can arise from the reduction of the equation of state during the QCD phase transition in the early U
View details →Negative / Null Result ReportOpen accessMedicine
Yimao Wu, Kaiyu Zhang, 夏新亚 et al. · 2026 · BMC Medicine
BACKGROUND: Breast cancer is the most commonly diagnosed malignancy in women worldwide, and its marked heterogeneity together with the complexity of the tumor microenvironment contributes to substantial variability in therapeutic…
View details →Negative / Null Result ReportOpen accessMedicine
Rishi Chanderraj, Brian Bartek, Kathleen A. Stringer et al. · 2026 · Journal of Clinical Investigation
BACKGROUNDSepsis encompasses considerable biological and clinical heterogeneity. Previously, 2 phenotypes ("hyperinflammatory" and "hypoinflammatory") have been consistently identified within sepsis via latent class analysis. These phenotypes differ in their biological features, clinical outcomes, and therapeutic responses to interventions. Prior studies of sepsis heterogeneity have focused primarily on the host response. Here, we investigate the potential influence of the causative pathogen on sepsis heterogeneity and pathobiology.METHODSWe performed a retrospective observational analysis of
View details →Negative / Null Result ReportOpen accessNeuroscience
Shyanthony R. Synigal, Andrew J. Anderson, Edmund C. Lalor · 2026 · eNeuro
ABSTRACT The past few years have seen an increase in the use of encoding models to explain neural responses to natural speech. The goal of these models is to characterize how the human brain converts acoustic energy into distinct linguistic representations that enable everyday speech comprehension. For example, researchers have shown that electroencephalography (EEG) data can be modeled in terms of acoustic features of speech, such as its amplitude envelope or spectrogram, linguistic features such as phonemes and phoneme probability, and higher-level linguistic features like context-based word
View details →Negative / Null Result ReportOpen accessMathematics
David Hong, Yue Sheng, Edgar Dobriban · 2026 · Journal of the American Statistical Association
Principal component analysis (PCA) is a foundational tool in modern data analysis, and a crucial step in PCA is selecting the number of components to keep. However, classical selection methods (e.g., scree plots, parallel analysis, etc.)…
View details →Negative / Null Result ReportOpen accessArts and Humanities
Miya Williams Fayne, Stephanie Edgerly · 2025 · Mass Communication & Society
This study examines three forms of news avoidance (repertoire, self-identified, and topical) among Black Americans and the overlap between the different forms. We center African Americans, who are often ignored or stereotyped by mainstream…
View details →Negative / Null Result ReportOpen accessMedicine
Jeremy McGale, Harrison J. Howell, Arnaud Beddok et al. · 2024 · Pharmaceuticals
The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the potential for this alliance to advance pharmaceutical innovation by accelerating the development and deployment of novel therapeutics. We previously performed a scoping review of three databases (Embase, MEDLINE, and CENTRAL), identifying 87 studies published between 2018 and 2022 relevant to medical imaging (e.g., CT, PET, MRI), immunotherapy, arti
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Imre Fertő, Gábor Harangozó · 2025 · Scientific Reports
This study investigates the complex relationships between globalization, economic growth, urbanization, and ecological footprint in the context of advancing the United Nations Sustainable Development Goals (SDGs). Employing a club convergence framework, we evaluate global SDG Index from 2000 to 2023 for 149 countries with 3212 observations, identifying five converging clubs and one non-converging group. Our analysis demonstrates that higher GDP per capita and various dimensions of globalization positively impact SDG outcomes, whereas rapid urbanization and expansive ecological footprints exert
View details →Negative / Null Result ReportOpen accessMedicine
Miao Cai, Taeyoung Choi, Yan Xie et al. · 2026 · BMJ
OBJECTIVES: To investigate whether initiation of glucagon-like peptide-1 (GLP-1) receptor agonists is associated with both reduced risks of incident alcohol, cannabis, cocaine, nicotine, opioid, and other substance use disorders (SUDs) in…
View details →Negative / Null Result ReportOpen accessDecision Sciences
Yuan Ma, Wenchao Zhang, Chengxiang Ma et al. · 2025 · International Review of Economics & Finance
In an era defined by digital transformation, artificial intelligence (AI) has emerged as a critical driver of corporate competitiveness, yet the mechanisms through which it enhances innovation remain a key area of inquiry. This study…
View details →Negative / Null Result ReportOpen accessMedicine
Deborah Salvo, Inácio Crochemore-Silva, Andrea Wendt et al. · 2026 · Nature Medicine
With over 5 million attributed deaths per year, physical inactivity is a major global public health issue. Although the importance of physical activity is well recognized within the scope of obesity and cardiometabolic disease prevention…
View details →Negative / Null Result ReportOpen accessPhysics and Astronomy
Fengqiu Adam Dong, Kaitlyn Shin, Casey Law et al. · 2025 · The Astrophysical Journal Letters
Abstract We report the discovery of CHIME J1634+44, a long-period radio transient (LPT) unique for two aspects: it is the first known LPT to emit fully circularly polarized radio bursts, and it is the first LPT with a significant spin-up. Given that high circular polarization (>90%) has been observed in FRB 20201124A and in some giant pulses of PSR B1937+21, we discuss the implications of the high circular polarization of CHIME J1634+44 and conclude its emission mechanism is likely to be “pulsar-like.” While CHIME J1634+44 has a pulse period of 841 s, its burst arrival patterns are indicati
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Yuldoshboy Sobirov, Beruniy Artikov, Elbek Khodjaniyazov et al. · 2025 · Sustainability
This study examines the long-run relationship between carbon dioxide (CO2) emissions and key macroeconomic and sectoral drivers in ten ASEAN economies from 1995 to 2023. Employing Driscoll–Kraay standard errors, Prais–Winsten regression, heteroskedastic panel-corrected standard errors, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) estimators, the analysis accounts for cross-sectional dependence, slope heterogeneity, and endogeneity. Results indicate that GDP exerts a more-than-unitary positive effect on emissi
View details →Negative / Null Result ReportOpen accessMathematics
Matthew A. Masten, Alexandre Poirier · 2026 · American Economic Review
We show that, depending on how the impact of omitted variables is measured, it can be substantially easier for omitted variables to flip coefficient signs than to drive them to zero. This behavior occurs with “Oster's delta” (Oster 2019a),…
View details →Negative / Null Result ReportOpen accessNeuroscience
Mariia Bocharova, Tom Borza, Leiv Otto Watne et al. · 2025 · Molecular Psychiatry
Late-life depression (LLD) has been linked to increased likelihood of dementia, although mechanisms responsible for this association remain largely unknown. One feature frequently observed in both LLD and dementia is elevated levels of plasma inflammatory markers. The present study aimed to compare the levels of 12 plasma inflammatory markers between older people with LLD and controls, and to explore whether these markers, along with clinical characteristics, can predict dementia in patients with LLD within 3 years of follow-up. Using multiple linear regression with stepwise adjustment, we com
View details →Negative / Null Result ReportOpen accessSocial Sciences
Katharina Schmid, Ralf Wölfer, Herman Swart et al. · 2017 · Personality and Social Psychology Bulletin
This article reexamines the so-called "wallpaper effect" of intergroup contact, which contends that for minority group members living in areas more densely populated by majority group members, intergroup contact fails to reduce prejudice. We tested this claim in five studies, using data from five countries, two types of contexts, a range of measures, and involving different minority versus majority groups. Using multilevel cross-level interaction models, we considered whether effects of contact on outgroup attitudes were moderated by relative outgroup size. Results failed to replicate the prev
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Rasit Dinc, Nurittin Ardıç · 2026 · Cells
Exosomes and other extracellular vesicles (EVs) carry microRNAs, proteins, and lipids that reflect cardiovascular pathophysiology and can enable minimally invasive biomarker discovery. However, EV datasets are highly dimensional and heterogeneous, strongly influenced by pre-analytic variables and non-standardized isolation/characterization workflows, limiting reproducibility across studies. Artificial intelligence (AI), including machine learning (ML), deep learning (DL), and network-based approaches, can support EV biomarker development by integrating multi-omics profiles with clinical metada
View details →Negative / Null Result ReportOpen accessMaterials Science
Rong Guo, Qiuzheng Du, Yaping He et al. · 2026 · Nano-Micro Letters
Single-atom nanozymes (SAzymes) exhibit exceptional catalytic efficiency due to their maximized atom utilization and precisely modulated metal-carrier interactions, which have attracted significant attention in the biomedical field. However, stability issues may impede the clinical translation of SAzymes. This review provides a comprehensive overview of the applications of SAzymes in various biomedical fields, including disease diagnosis (e.g., biosensors and diagnostic imaging), antitumor therapy (e.g., photothermal therapy, photodynamic therapy, sonodynamic therapy, and immunotherapy), antim
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Alì Soltani, Parviz Azizi, Aliasghar Rahimioun et al. · 2025 · Journal of Urban Management
The escalating complexities of rapid urbanization necessitate a paradigm shift in urban form evaluation, moving beyond traditional horizontal analyses to incorporate the crucial dimension of vertical growth. This study pioneers a volumetric approach, integrating 3D and 2D spatial analyses, to dissect compactness, sprawl, and their underlying drivers across two contrasting metropolitan regions: the Tehran Metropolitan Region (TMR) and the Greater Sydney Region (GSR) over a 40-year period (1980s–2020s). Our findings reveal a striking dichotomy: TMR exhibits pronounced ‘vertical sprawl,’ characte
View details →Negative / Null Result ReportOpen accessEarth and Planetary Sciences
Yayaati Chachan, Jonathan J. Fortney, Kazumasa Ohno et al. · 2025 · The Astrophysical Journal
Abstract The rate at which giant planets accumulate solids and gas is a critical component of planet formation models, yet it is extremely challenging to predict from first principles. Characterizing the heavy element (everything other than hydrogen and helium) content of giant planets provides important clues about their provenance. Using thermal evolution models with an updated H–He equation of state and atmospheric boundary conditions that vary with envelope metallicity, we quantify the bulk heavy element content of 147 warm (<1000 K) giant planets with well-measured masses and radii, mo
View details →Negative / Null Result ReportOpen accessEngineering
Yue Zhao, Jiang Su, Zhengzhen An et al. · 2026 · Applied Sciences
Coal gangue is one of the most abundant solid wastes generated during coal mining. The use of coal gangue for underground backfilling is widely recognized as an effective approach to reducing waste accumulation and promoting sustainable utilization. To further investigate the bearing and deformation behavior of underground gangue filling materials, combined with the underground occurrence conditions of crushed gangue in goaf, a self-designed loading apparatus for crushed gangue was employed to perform lateral compression experiments on crushed gangue. The compaction deformation, fractal dimens
View details →Negative / Null Result ReportOpen accessImmunology and Microbiology
Daniela Rothschild-Rodriguez, John P. Campbell, Frankie Brown et al. · 2026 · PubMed
BACKGROUND: The complement system is comprised of the classical, lectin and alternative pathways that result in the formation of: pro-inflammatory anaphylatoxins; opsonins that label cells for phagocytic removal; and, a membrane attack…
View details →