Negative / Null Result ReportOpen accessPhysics and Astronomy
Tim Linden, Thong T. Q. Nguyen, Tim M. P. Tait · 2026 · Journal of Cosmology and Astroparticle Physics
Abstract We model and constrain the unique indirect detection signature produced by dark matter particles that annihilate through a U(1) gauge symmetry into dark photons that subsequently decay into three-photon final states. We focus on scenarios where the dark photon is long-lived, and show that γ-ray probes of celestial objects can set strong constraints on the dark matter/baryon scattering cross section that in many cases surpass the power of current direct detection constraints, and in some cases even peer into the neutrino fog.
View details →Negative / Null Result ReportOpen accessPsychology
Ryan K. McBain, Jonathan Cantor, J. Breslau et al. · 2026 · Archives of Pediatrics and Adolescent Medicine
Importance: The rapid expansion of artificial intelligence (AI) chatbots has coincided with a persistent youth mental health crisis in the US, raising a question about the extent to which young people are turning to this technology for…
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Oxana Kirichok, Yuliia Orlovska, G.S. Zhanseitova et al. · 2025 · Environmental Economics
Type of the article: Research ArticleAbstract Global progress toward universal access to affordable, reliable, and clean energy has stalled, with over two billion people still lacking access to clean cooking, and affordability pressures are rising. AI is emerging as an energy-intensive technology and a potential enabler of more equitable energy systems. This paper assesses whether AI vibrancy contributes to advancing energy equity across countries while accounting for differences in economic capacity. The study employs a balanced panel of 36 countries from 2017 to 2023 (252 observations), draw
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Sami S. Omar, Wagdi M. S. Khalifa, Tolga Öz · 2025 · Energies
Amid growing environmental concerns and an increasing push for sustainable development, countries in the Middle East and North Africa (MENA) region have taken proactive steps toward green growth, energy transition, and technological innovation. As a result, this study examines the effects of green growth, energy transition, technological innovation, financial inclusion, and urbanization on environmental sustainability in the Middle East and North Africa (MENA) region. Moreover, this study breaks new ground by exposing the hidden environmental costs of financial inclusion, urbanization, and tec
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Elma Šatrović, Oluwatoyin Abidemi Somoye, Banji Rildwan Olaleye et al. · 2025 · Frontiers in Environmental Science
This study elucidates how fiscal decentralization affects environmental sustainability, moderating the role of environmental policy stringency in the selected European Union (EU) countries between 1995 and 2020. In addition, economic upturn, import diversification, and environmental protection expenditures are utilized as control variables. The empirical findings of the Method of the Moments Quantile Regression (MMQR) disclosed that the environmental policy stringency and environmental protection expenditures help the EU achieve ecological priorities. In addition, import diversification also s
View details →Negative / Null Result ReportOpen accessSocial Sciences
Ihsen Abid · 2025 · International Journal of Sustainable Development and Planning
This study investigates the drivers of labor force participation and GDP growth in the Gulf Cooperation Council (GCC) region from 1990 to 2023, emphasizing the roles of youth employment, urbanization, export performance, and foreign direct investment (FDI).Using the Arellano-Bond dynamic panel data estimation method, the study models interdependent relationships between labor force participation, GDP growth, and key macroeconomic indicators while addressing endogeneity and dynamic feedback effects.The analysis reveals that lagged labor force participation has a strong positive and highly signi
View details →Negative / Null Result ReportOpen accessEngineering
Rafael Cabral, Ricardo Santos, José A.F.O. Correia et al. · 2025 · Sensors
The automated inspection of civil infrastructure with Unmanned Aerial Vehicles (UAVs) is hampered by the challenge of accurately segmenting multi-damage in high-resolution imagery. While foundational models like the Segment Anything Model (SAM) offer data-efficient segmentation, their effectiveness is constrained by prompting strategies, especially for geometrically complex defects. This paper presents a comprehensive comparative analysis of deep learning strategies to identify an optimal deep learning pipeline for segmenting cracks, efflorescences, and exposed rebars. It systematically evalua
View details →Negative / Null Result ReportOpen accessMedicine
Akhilesh Mishra, Ajay Sharma, Kuldeep Gupta et al. · 2026 · Science Advances
Optimizing dosing strategies is critical to balance effectiveness and toxicity, especially for drugs with narrow therapeutic windows such as antibody-drug conjugates (ADCs). This study evaluates whether positron emission tomography (PET) imaging targeting Nectin-4 can noninvasively quantify the real-time interaction of the ADC enfortumab vedotin (EV) with tumors in urothelial carcinoma. Using the imaging agent [ 68 Ga]AJ647, dynamic changes in the interaction of EV with Nectin-4 were measured across preclinical models and correlated with therapeutic responses. PET imaging identified dose-depen
View details →Negative / Null Result ReportOpen accessMathematics
Freya Pollington, Spiros Denaxas, Kezhi Li et al. · 2025 · Journal of the American Medical Informatics Association
OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet undetected disease by analyzing "patient trajectories." Trajectory studies explore clinical event associations, characterize disease trajectories, and enhance risk prediction. This scoping review assesses study characteristics and objectives, identifies model types, and appraises model performance and reporting. MATERIALS AND METHODS: We conducted a scoping review, focused on a PubMed and Web of Science search for studies using temporal EHR sequenc
View details →Negative / Null Result ReportOpen accessMedicine
Ruxandra Oiegar, Dana Pop · 2025 · Journal of Clinical Medicine
Background/Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by inflammation of the synovium. The inflammation accelerates the development and progression of atherosclerosis, a key phenomenon in the onset of cardiovascular diseases. The aim of this review was to synthetize the traditional and RA-specific cardiovascular risk (CVR) factors and the CVR assessment guidelines in RA patients. Methods: We performed a PubMed search using specific keywords. We synthetized the main findings. Results: Although the risk factors are the traditional ones, with certain par
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Assaf Shmuel, Teddy Lazebnik, Eyal Heifetz et al. · 2025 · npj natural hazards.
Fire weather indices (FWIs) are widely used to assess wildfire risk, but are typically designed for specific regions and not adapted globally. Here, we present a systematic effort to generate country-specific FWIs that capture regional…
View details →Negative / Null Result ReportOpen accessPsychology
Daniel R. Espinas, Sharon Vaughn, Lynn S. Fuchs · 2025 · Pediatric Research
Interventions for individuals with specific learning disabilities (SLD) largely focus on performance within a single performance domain (e.g., reading). However, it is more the rule than the exception that individuals with SLD will experience difficulties that span multiple domains (e.g., reading and mathematics), and that co-occur with other disorders (e.g., attention-deficit/hyperactivity disorder). In this article, we discuss what has been learned about supporting children and adolescents with SLD affecting multiple performance domains (i.e., reading and mathematics), and with common co-occ
View details →Negative / Null Result ReportOpen accessSocial Sciences
Eric C. Schoute, Patricia A. Alexander · 2025 · Review of Educational Research
Critical thinking is praised as the hallmark of cognitive development and a raison d’être for higher education. In this review, we analyzed critical thinking interventions in higher education with regard to participant characteristics;…
View details →Negative / Null Result ReportOpen accessVeterinary
Sibi Chakravathy Parivendan, Kashfia Sailunaz, Suresh Neethirajan · 2025 · Animals
This review critically analyzes recent advancements in dairy cow behavior recognition, highlighting novel methodological contributions through the integration of advanced artificial intelligence (AI) techniques such as transformer models and multi-view tracking with social network analysis (SNA). Such integration offers transformative opportunities for improving dairy cattle welfare, but current applications remain limited. We describe the transition from manual, observer-based assessments to automated, scalable methods using convolutional neural networks (CNNs), spatio-temporal models, and at
View details →Negative / Null Result ReportOpen accessMaterials Science
Vinicius Firmino dos Santos, Eduardo R. Almeida, Lucas Miguel Pereira Souza et al. · 2025 · Macromolecules
High Resolution Image Download MS PowerPoint Slide Polymer brushes exhibit unique structural and dynamic properties compared to free polymers due to their confined and tethered nature. While coarse-grained (CG) models for free polymers are well-established in the literature, their direct application to polymer brushes is limited. This is because brushes demonstrate distinct conformational behaviors, scaling laws, and responses to environmental stimuli that may not be accurately captured by models developed for free polymers. We have systematically evaluated chemically specific CG parameters wi
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Lisa Joos, Sarah Ommeslag, Steve Baeyen et al. · 2025 · mSystems
Despite the recognition of the complexity of soil ecosystem dynamics, most soil microbiome studies sample one field, take one sample per field, or use limited samples throughout the year. This limits our understanding of the spatiotemporal role of the soil microbiome in relation to management practices. To address these limitations, we conducted a year-long investigation of the soil microbiome in two agricultural fields, sampling multiple plots at different soil depths every 5 weeks. We examined spatial and temporal variabilities in response to the application of organic amendments (one-time b
View details →Negative / Null Result ReportOpen accessMedicine
Maria Dalamaga, Rodopi Emfietzoglou, Dimitra Petropoulou et al. · 2026 · Current Nutrition Reports
PURPOSE OF REVIEW: Vitamin D is a pleiotropic hormone with an established role in skeletal integrity and broader actions in immune regulation, inflammation, cellular proliferation, and energy homeostasis. Despite decades of research, its extra-skeletal effects remain controversial, largely due to discordant findings across observational studies, Mendelian randomization studies (MRS), and randomized controlled trials (RCTs). Unlike many prior reviews, this state-of-the-art review synthesizes triangulated evidence across these study designs to clarify outcome-specific causal relationships and on
View details →Negative / Null Result ReportOpen accessNeuroscience
Gonzalo Olmedo‐Saura, E Bernardi, Lidia Bojtos et al. · 2025 · International Journal of Molecular Sciences
Huntington's disease (HD) is the most common autosomal dominant neurodegenerative disorder, characterized by a triad of motor dysfunction, cognitive decline, and psychiatric disturbances. While recent efforts have focused on developing disease-modifying therapies, no treatment has yet demonstrated clinical efficacy. As a result, symptomatic treatment remains the cornerstone of care. However, high-quality evidence from large randomized trials is limited, and therapeutic decisions must rely on clinical expertise and extrapolation from other neurological or psychiatric conditions. This narrative
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
A. AbdAllah · 2026 · RSC Advances
In an attempt to collect clinical data about HDAC inhibitors as very significant anticancer drugs we aimed to compare data and reveal the impact of the structural features, concluding the points of interest that are likely to help further development of better cancer therapy. We presented results of different clinical phases of HDAC inhibitors classified as hydroxamic acid derivatives, cyclic peptides, benzamides, and short chain aliphatic acids in a coherent and cohesive manner. It was found that HDAC inhibitors are preferentially combined with other antitumor drugs, mainly anti PD-1 and doxo
View details →Negative / Null Result ReportOpen accessMedicine
Thu Ha Dang, Nilmini S. Wickramasinghe, Prem Prakash Jayaraman et al. · 2024 · JMIR Formative Research
BACKGROUND: Medication nonadherence is a serious problem in cancer, potentially impacts patients' health outcomes and health care costs. Although technology-based medication adherence (MA) interventions have emerged, evidence supporting their quality and effectiveness remains limited. OBJECTIVE: This study tested the acceptability, feasibility, and potential effects of Safety and Adherence to Medications and Self-care Advice in Oncology (SAMSON), a digital solution designed to support MA and self-management in cancer. METHODS: A 12-week, 2-arm, unblinded, pragmatic pilot randomized controlled
View details →Negative / Null Result ReportOpen accessPhysics and Astronomy
Junyao Li, Ming-Yang Zhuang, Yue Shen et al. · 2025 · The Astrophysical Journal
Abstract Kiloparsec-scale dual and offset active galactic nuclei (AGNs) are signposts of accreting supermassive black holes (SMBHs) triggered during late-stage galaxy mergers, offering crucial insights into the coevolution of SMBHs and galaxies. However, robustly confirmed systems at high redshift (e.g., z > 1) are scarce and biased toward the most luminous and unobscured systems. In this study, we systematically search for kiloparsec-scale (projected separation <15 kpc) dual and offset AGNs around 571 moderate-luminosity, X-ray-selected AGNs, including the obscured population, utilizing
View details →Negative / Null Result ReportOpen accessMedicine
Sofia Asioli, Lidia Gatto, Uri Vardy et al. · 2024 · Cancers
Background: Glioblastoma IDH-wildtype (GBM IDH-wt) is the most aggressive brain tumor in adults and is characterized by an immunosuppressive microenvironment. Different factors shaping its tumor microenvironment (TME) regulate tumor progression and treatment response. The aim of this study was to characterize the main immunosuppressive elements of the GBM IDH-wt TME. Methods: Immunohistochemistry for CD3, CD4, CD8, CD163, programmed death ligand 1 (PD-L1) and programmed death 1 (PD1) was performed on surgical tumor specimens from patients diagnosed with GBM IDH-wt, according to the CNS WHO 202
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Nick Quinn-Bohmann, Alex V. Carr, Sean M. Gibbons · 2026 · PLoS Biology
Prebiotic, probiotic, and combined (synbiotic) interventions often show variable outcomes across individuals, driven by complex interactions between introduced biotics, the endogenous microbiota, and the host diet. Predicting individual-specific success or failure of probiotic and prebiotic therapies remains a major challenge. Here, we leverage microbial community-scale metabolic models (MCMMs) to predict probiotic engraftment and microbiota-mediated short-chain fatty acid (SCFA) production in response to probiotic and prebiotic interventions. Using data from two human clinical trial cohorts,
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Hasan Demirci, Jessica Paola Bahena-López, Смородченко Алина Тихоновна et al. · 2025 · JCI Insight
Kidney thick ascending limb cells reabsorb sodium, potassium, calcium, and magnesium and contribute to urinary concentration. These cells are typically viewed as of a single type that recycles potassium across the apical membrane and generates a lumen-positive transepithelial voltage driving calcium and magnesium reabsorption, although variability in potassium channel expression has been reported. Additionally, recent transcriptomic analyses suggest that different cell types exist along this segment, but classifications have varied and have not led to a new consensus model. We used immunolocal
View details →Negative / Null Result ReportOpen accessSocial Sciences
Stacey Hynd · 2026 · Open Research Exeter (University of Exeter)
The position of women and the operation of justice were both contentious issues in colonial Africa. However, when combined in the discussion and sentencing of African women charged with murder and facing the death penalty for their crimes,…
View details →Negative / Null Result ReportOpen accessDecision Sciences
Mark Ramos · 2025 · Accountability in Research
BACKGROUND: Positive publication bias is the tendency to favor studies that reject null hypotheses for publication and is widely regarded as detrimental to research enterprise quality. However, this view oversimplifies the interplay between selection biases and the statistical properties of hypothesis testing. METHODS: Using theoretical models under varying assumptions about the research landscape in terms of the truth values of hypotheses investigated, we examine how increasing bias towards publishing studies with statistically significant results over those without inflates false positive ra
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Anagha Krishna, Alison Meynert, Karamjit Singh Dolt et al. · 2026 · Nature Genetics
CTNNB1, the gene encoding β-catenin, is a frequent target for oncogenic mutations activating the canonical Wnt signaling pathway, typically through missense mutations within a degron hotspot motif in exon 3. Here, we combine saturation genome editing with a fluorescent reporter assay to quantify signaling phenotypes for all 342 possible missense mutations in the mutation hotspot. Our data define the genetic requirements for β-catenin degron function, refine the consensus motif for substrate recognition by β-TRCP and reveal diverse levels of signal activation among known driver mutations. Tumor
View details →Negative / Null Result ReportOpen accessSocial Sciences
Paul A. Djupe, Amanda Friesen, Andrew R. Lewis et al. · 2025 · Political Behavior
Abstract A proliferation of religion variables presents opportunities for those studying religion and politics in the U.S. However, many studies in this growing subfield demonstrate the pitfalls of reporting the “independent” effects of variables without qualification. This is especially evident in work on Christian nationalism where researchers often make the claim that worship attendance promotes more pro-social or liberal outcomes, while Christian nationalism promotes more conservative and less pro-social outcomes. We demonstrate that this finding—and others like it—represents a new version
View details →Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Ariadna Tibau, Edward R. Scheffer Cliff, Alejandra Romano et al. · 2025 · EClinicalMedicine
Background: The accelerated approval pathway allows the FDA to approve drugs for serious conditions based on promising surrogate measures, with confirmatory studies required later. If subsequent testing shows an unfavorable benefit-risk profile, the indication may be withdrawn. This study aimed to identify factors associated with the withdrawal of drug indications following accelerated approval. Methods: In this retrospective cohort study, we identified FDA-approved drugs for solid and hematologic cancers from 1992 to 2022 and extracted factors present at the time of accelerated approval, incl
View details →Negative / Null Result ReportOpen accessEngineering
Yufan Zhu, Huifan Liu, Zhiqiang Yang et al. · 2026 · Theranostics
Background: Excessive inflammation and exacerbated oxidative stress are significant hallmarks of the diabetic bone microenvironment, which give rise to dysregulated immune reactions and impaired bone homeostasis, thereby hindering bone defect healing and increasing the incidence of bone nonunion.Methods: A biodegradable photothermal hybrid (SC/MTZ) was developed through the in situ self-assembly of zeolitic imidazolate framework-8 (ZIF-8) nanoparticles on tannic acid (TA)-functionalized Ti3C2Tx MXene nanosheets, which were then integrated into a methacrylated silk fibroin/carboxymethyl chitosa
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