Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
T.C. Bruinjé, S.J. LeBlanc · 2025 · Animals
In the early postpartum period, dairy cows undergo significant adaptations in Ca and lipid metabolism, immune function, and inflammatory processes. Concurrent exposure to endotoxins from the uterus, gastrointestinal tract, or mammary gland increases the risk of disease and reproductive problems. Metabolic and inflammatory imbalances during this phase can have both immediate and long-term effects on reproductive health. Associations between metabolic disorders and reproductive outcomes are often confounded by immune activation and systemic inflammation. However, optimal markers, thresholds, and
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 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 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 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 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 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 accessMedicine
Margareth C. Ozelo, Jane Mason, Amy L. Dunn et al. · 2025 · Journal of Thrombosis and Haemostasis
BACKGROUND: Valoctocogene roxaparvovec, an adeno-associated virus vector that transfers a human factor (F)VIII (FVIII) coding sequence to hepatocytes, provides bleeding protection for people with severe hemophilia A. OBJECTIVES: Determine…
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 accessAgricultural and Biological Sciences
Manuel A. Silva, Anderson Veronese, Anna Luiza Belli et al. · 2021 · Journal of Dairy Science
kg) than cows diagnosed with a clinical disease that had an AMD alert. Adding AMD-generated health alerts to the health screening of postpartum cows in a herd with an existing screening program did not improve survival, milk yield, or…
View details →Negative / Null Result ReportOpen accessComputer Science
Scott Grimm, Louise McNally · 2026 · Proceedings of the Amsterdam Colloquium
Syntacticians have widely assumed since [11] that there is a fundamental difference between so-called argument structure nominals (AS-nominals, also called Complex Event Nominals), e.g. destruction, and non-AS-nominals, e.g. book ([1, 5], i.a.). Grimshaw provided a list of properties characterizing AS-nominals, most notably that they have obligatory arguments (e.g. the destruction *(of Carthage) by the Romans). She and others have associated having argument structure with having event structure, but it has never been clear what having or lacking such structures amounts to semantically. In this
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 →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 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 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 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 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 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 accessBiochemistry, Genetics and Molecular Biology
Maria Nikogհosyan, Siras Hakobyan, Anahit Hovhannisyan et al. · 2019 · Frontiers in Genetics
Background: During last decades a number of genome-wide association studies (GWAS) has identified numerous single nucleotide polymorphisms (SNPs) associated with different complex diseases. However, associations reported in one population are often conflicting and did not replicate when studied in other populations. One of the reasons could be that most of GWAS employ case-control design in one or a limited number of populations, but little attention was paid to global distribution of disease associated alleles across different populations. Moreover, the majority of GWAS have been performed on
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Ignacio J. Melero‐Jiménez, Yael Sorokin, Ami Merlin et al. · 2025 · Nature Communications
Populations facing lethal environmental change can escape extinction through rapid genetic adaptation, a process known as evolutionary rescue. Despite extensive study, evolutionary rescue is largely unexplored in mutualistic communities, where it is likely constrained by the less adaptable partner. Here, we explored empirically the likelihood, population dynamics, and genetic mechanisms underpinning evolutionary rescue in an obligate mutualism involving cross-feeding of amino acids between auxotrophic Escherichia coli strains. We found that over 80% of populations overcame a severe decline whe
View details →Negative / Null Result ReportOpen accessEarth and Planetary Sciences
Xavier A. Jenkins, Roger Benson, David P. Ford et al. · 2025 · Peer Community Journal
Living reptiles include more than 20,000 species with disparate ecologies. Direct anatomical evidence from Neodiapsida, which includes the reptile crown-group and its closest extinct relatives, shows that this diversity originates from a single common ancestor that lived over 255 million years ago in the Paleozoic. However, the evolutionary assembly of crown reptile traits is poorly understood due to the lack of anatomically close relatives of Neodiapsida. We present a substantially revised phylogenetic hypothesis, informed by new anatomical data from high-resolution synchrotron tomography of
View details →Negative / Null Result ReportOpen accessMaterials Science
Qiuyun Guo, He Lv, Ran Dong et al. · 2026 · Polymers
Batch production of nanomaterials is highly desired for developing commercial nanoproducts. Here, a brand-new electrospinning method, termed hole electrospinning, was developed for batch production of drug-loaded polymeric nanofibers. Using resveratrol and polyvinylpyrrolidone as model drug and filament-forming matrix, respectively, both hole and single-needle electrospinning were conducted. The resultant nanofibrous films were compared in terms of morphology, physical and thermal properties, mechanical performance, fast-dissolution rate, and antioxidant activity. Analytical and characterizati
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Burooj Ghani, Vincent J. Kalkman, Bob Planqué et al. · 2025 · Scientific Reports
Animal sounds can be recognised automatically by machine learning, and this has an important role to play in biodiversity monitoring. Yet despite increasingly impressive capabilities, bioacoustic species classifiers still exhibit imbalanced performance across species and habitats, especially in complex soundscapes. In this study, we explore the effectiveness of transfer learning in large-scale bird sound classification across various conditions, including single- and multi-label scenarios, and across different model architectures such as CNNs and Transformers. Our experiments demonstrate that
View details →Negative / Null Result ReportOpen accessSocial Sciences
Junjie Dong, Zhidan Tan, Y Zhang et al. · 2025 · BMC Psychology
BACKGROUND: With the advancement of globalization and technology, remote work has gradually become a feasible and popular work model, particularly with the rapid adoption of working from home driven by the COVID-19 pandemic. This shift not…
View details →Negative / Null Result ReportOpen accessNeuroscience
Shao-Chin Hung, Aaron R. Seitz · 2011 · PLoS ONE
Consolidation, a process that stabilizes memory trace after initial acquisition, has been studied for over a century. A number of studies have shown that a skill or memory must be consolidated after acquisition so that it becomes resistant to interference from new information. Previous research found that training on a peripheral 3-dot hyperacuity task could retrogradely interfere with earlier training on the same task but with a mirrored stimulus configuration. However, a recent study failed to replicate this finding. Here we address the controversy by replicating both patterns of results, ho
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Raya Kh. Yashooa, Ari Q. Nabi, Shukur Wasman Smail et al. · 2026 · Frontiers in Neurology
CRISPR-Cas genome-editing technologies have emerged as powerful tools for precise DNA and RNA modulation, offering promising therapeutic strategies for neurodegenerative disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS). This review critically evaluates current CRISPR/Cas applications in neurodegeneration, with emphasis on mechanistic insights, therapeutic outcomes, and translational feasibility. Preclinical and early translational studies demonstrate that CRISPR-Cas platforms can correct pathogenic mutation
View details →Negative / Null Result ReportOpen accessMedicine
Bernardo G. Collaco, Syed Ali Haider, Srinivasagam Prabha et al. · 2026 · npj Digital Medicine
Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve defined clinical goals. However, the literature lacks conceptual clarity in distinguishing AI…
View details →Negative / Null Result ReportOpen accessComputer Science
Robert Ranisch, Joschka Haltaufderheide · 2025 · Digital Society
Abstract Conversational agents are increasingly used in healthcare, with Large Language Models (LLMs) significantly enhancing their capabilities. When integrated into social robots, LLMs offer the potential for more natural interactions. However, while LLMs promise numerous benefits, they also raise critical ethical concerns, particularly regarding hallucinations and deceptive patterns. In this case study, we observed a critical pattern of deceptive behavior in commercially available LLM-based care software integrated into robots. The LLM-equipped robot falsely claimed to have medication remin
View details →Negative / Null Result ReportOpen accessEngineering
Kyung Seo Joo, Sun Jin Sym, Kwangmin Kim et al. · 2025 · International Journal of Nanomedicine
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely because of its profoundly hypoxic and desmoplastic tumor microenvironment (TME), which hinders drug delivery and promotes resistance to…
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Raissa Relator, Aika Terada, Jun Sese · 2018 · BMC Medical Genomics
BACKGROUND: Survival analysis methods have been widely applied in different areas of health and medicine, spanning over varying events of interest and target diseases. They can be utilized to provide relationships between the survival time of individuals and factors of interest, rendering them useful in searching for biomarkers in diseases such as cancer. However, some disease progression can be very unpredictable because the conventional approaches have failed to consider multiple-marker interactions. An exponential increase in the number of candidate markers requires large correction factor
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