Negative / Null Result ReportOpen accessComputer Science
Christian Basil Omeh, Musa Adekunle Ayanwale, Lindelani Mnguni et al. · 2025 · Journal of New Approaches in Educational Research
Abstract Despite the increasing emphasis on computational literacy in higher education, we observed that many undergraduate students particularly in developing contexts struggle to master fundamental programming skills and develop critical thinking. Conventional instructional approaches often lack interactivity and personalized scaffolding, which are essential for teaching abstract programming concepts. In response to this challenge, we examined the effect of artificial intelligence (AI)-assisted problem-based learning (PBL) on students’ programming skills, critical thinking, and problem-solvi
View details →Negative / Null Result ReportOpen accessDentistry
Patrick Golletz, Sissel Damsbo Jensen, Madeline Collignon et al. · 2025 · Journal of Oral Microbiology
Introduction: Coaggregation may reduce the abundance of bacteria in physiological fluids, such as saliva, as aggregated bacteria are cleared more easily than planktonic cells. This study aimed to identify Lactobacillus strains that…
View details →Negative / Null Result ReportOpen accessBusiness, Management and Accounting
Simone Taddeo, Andrea Regoli, O. Weber et al. · 2026 · Business Strategy and the Environment
ABSTRACT This study investigates the financial consequences of greenwashing, operationalized as the misalignment between ESG disclosure and actual ESG performance. While prior research has explored the reputational and ethical dimensions…
View details →Negative / Null Result ReportOpen accessMedicine
Annefleur C. Langedijk, Floris van den Dungen, Lisette M. Harteveld et al. · 2025 · Human Vaccines & Immunotherapeutics
The European Medicines Agency has authorized two interventions to prevent lower respiratory tract disease due to respiratory syncytial virus (RSV-LRTD) in infants: nirsevimab, a monoclonal antibody, and bivalent stabilized prefusion F…
View details →Negative / Null Result ReportOpen accessMedicine
Michael Harrison Storandt, Frank A. Sinicrope · 2026 · BMJ Oncology
The treatment paradigm for deficient mismatch repair (dMMR) colorectal cancer (CRC) has evolved substantially in recent years. Universal mismatch repair testing and broad use of next-generation sequencing have increased the detection of…
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Yang Fu, Jie Liu, Zeming Mo et al. · 2026 · MedComm
ABSTRACT Melanoma is the most aggressive skin malignant tumor, typically exhibiting a high mutation burden and potentially harboring mutations in NRAS, BRAF, or NF1. To enhance survival rates, these driver alterations can achieve significant antitumor activity through targeted therapy. In the past decade, BRAF inhibitors combined with MEK inhibitors significantly improved the prognosis of BRAF mutation melanoma. Nevertheless, researchers have attempted various strategies to block the NRAS signaling pathway, NRAS mutation in melanoma is still considered to be untargetable. In recent years, MEK
View details →Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Suresh Raja Neethirajan · 2026 · Agriculture
Digital twin technology is widely promoted as a transformative step for precision live-stock farming, yet no fully realized, engineering-grade digital twins are deployed in commercial dairy or poultry systems today. Existing platforms are better described as near-digital-twin systems with partial sensing and modelling, digital-twin-inspired prototypes, simulation frameworks or decision-support tools that are often labelled as twins despite lacking continuous synchronization and closed-loop control. This distinction matters because the empirical foundation supporting many claims remains limited
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Sarah Ancheta, Leah C. Dorman, Guillaume Le Treut et al. · 2026 · PLoS Computational Biology
Single-cell RNA sequencing is revolutionizing our understanding of cell state dynamics, allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint. Among the computational techniques used to predict cellular trajectories, RNA velocity has emerged as a predominant tool for modeling transcriptional dynamics. RNA velocity leverages the mRNA maturation process to generate velocity vectors that predict the likely future state of a cell, offering insights into cellular differentiation, aging, and disease progression. Although this technique has s
View details →Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Batist Geldhof, Jolien Pattyn, Sam Noppen et al. · 2026 · Plant Stress
Abstract Developing leaves undergo a vast array of age-related changes as they mature. These include physiological, hormonal and morphological changes that determine their adaptation plasticity towards adverse conditions. Waterlogging…
View details →Negative / Null Result ReportOpen accessMedicine
Lene Bjerke Laborie, Jennifer Lee, Edward Antram et al. · 2026 · European Radiology
OBJECTIVES: This scoping review aims to evaluate the performance of artificial intelligence (AI) models designed for adults when applied to paediatric imaging datasets without additional adaptations, and to quantify performance degradation across different modalities, use-cases and age groups. MATERIALS AND METHODS: A literature search was conducted covering 10 years (1/01/2014-23/06/2025) using terms relating to "child", "adult", "artificial intelligence", "radiology" and "validation/performance". Two reviewers independently extracted data using standardised templates and conducted a narrativ
View details →Negative / Null Result ReportOpen accessPhysics and Astronomy
Lalitwadee Kawinwanichakij, Karl Glazebrook, Themiya Nanayakkara et al. · 2026 · The Astrophysical Journal
Abstract We present the morphological properties of 17 spectroscopically confirmed massive quiescent galaxies ( 10.2 < log ( M * / M ⊙ ) < 11.2 ) at 3.0 < z < 4.3, observed with JWST/NIRSpec and NIRCam. Using Sérsic profile fits to F277W and F444W imaging, we derive the size–mass relation and find typical sizes of ∼0.6–0.8 kpc at M * = 5 × 10 10 M ⊙ , consistent with ∼7× growth from z ∼ 4 to the present, including ∼2× by z ∼ 2. We find tentative evidence that formation history and morphology jointly influence galaxy sizes: late-forming bulge-dominated galaxies appear more compact by ∼0.2–0.3 d
View details →Negative / Null Result ReportOpen accessMedicine
Shangkai Gao, Léa Décarie-Spain, Cindy Gu et al. · 2026 · Comprehensive physiology
Glucagon-like peptide-1 (GLP-1) is a nutrient-responsive hormone classically associated with glucose homeostasis and food intake control, yet its receptor is broadly expressed throughout the central nervous system (CNS) in circuits governing complex cognitive processes. Here, we synthesize emerging evidence from preclinical models and human studies demonstrating that GLP-1 receptor (GLP-1R) signaling modulates multiple cognitive domains, including reward and motivational processes relevant to obesity and substance use disorder, affective-related behaviors, and learning and memory. We propose a
View details →Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Kamel Mouloudj, Tiziana Amoriello, Eeman Almokdad et al. · 2026 · Sustainability
Product waste in grocery supply chains remains a major concern for multiple stakeholders, particularly retailers, due to the direct financial losses it generates and the potential risks it poses to customer health and safety. In this context, digital technologies—especially artificial intelligence (AI)—offer promising opportunities to improve retail performance and reduce waste. Accordingly, this study aims to investigate the factors influencing retailers’ intentions to adopt AI-based solutions for product waste reduction. To achieve this objective, the Technology Acceptance Model (TAM) was ex
View details →Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Ruairidh Macleod, Frederik Valeur Seersholm, Bianca De Sanctis et al. · 2026 · Nature
Abstract Plague is among the most devastating diseases in human history 1 . However, early strains of the plague-causing bacterium Yersinia pestis lacked virulence factors that are required for the bubonic form until around 3,800 years ago 2,3 . Consequently, the morbidity and mortality of early plague strains remain unclear. Here we describe early plague strains that are associated with two phases of outbreaks among mid-Holocene hunter-gatherers near Lake Baikal in southeast Siberia, beginning from about 5,500 years ago. These outbreaks occur across four hunter-gatherer cemeteries, with a 39%
View details →Negative / Null Result ReportOpen accessPsychology
Kimmo Sorjonen, Gustav Nilsonne, Ata Ghaderi et al. · 2026 · PLoS ONE
The random-intercept cross-lagged panel model (RI-CLPM) is an extension of the traditional cross-lagged panel model. The RI-CPLM specifically addresses prospective effects within individuals. In the present simulations, we found that the RI-CLPM is susceptible to spurious findings when observed scores on the two variables are affected by common auto-correlated state factors. In reanalyses of empirical data, we found contradictory decreasing, increasing, and null prospective effects between within-individual levels of self-esteem and problematic eating behaviors among Dutch teenagers (N = 1856)
View details →Negative / Null Result ReportOpen accessMedicine
Yüksel Erkin, Erkan Özduran, İlhan Celil Özbek et al. · 2026 · PLoS ONE
Patients seeking information about Myofascial Pain Syndrome (MPS), which affects a large segment of the population, are increasingly turning to AI-based chatbots as an alternative to traditional methods. However, the medical accuracy of the content offered by these digital platforms, as well as its suitability to the "grade 6 reading level" standard, which determines its comprehensibility by patients, is a critical point of uncertainty. This study aims to fill this significant gap in the literature by systematically comparing MPS content generated by different AI models using readability indic
View details →Negative / Null Result ReportOpen accessMedicine
Michael J. Corley, Varun B. Dwaraka, Alina P.S. Pang et al. · 2026 · Nature Communications
Glucagon-like peptide-1 (GLP-1) receptor agonists have attracted interest as gerotherapeutics, yet clinical-trial evidence for their effects on biological aging is lacking. We report a post hoc exploratory epigenetic age analysis of a 32-week, randomized, double-blind, placebo-controlled phase 2b trial (NCT04019197) of semaglutide in adults with human immunodeficiency virus (HIV)-associated lipohypertrophy (semaglutide n = 45; placebo n = 39). The parent trial's primary endpoint was change in visceral adipose tissue, with secondary cardiometabolic and body-composition endpoints; epigenetic agi
View details →Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Da Cui · 2025 · Frontiers in Sustainable Food Systems
Under the dual challenges of intensifying global food security crises and pressing demands for sustainable agricultural development, investigating the mechanisms through which large-scale agricultural operations affect the grain production resilience carries significant strategic importance. Using a quasi-natural experiment based on land transfer policy, this study assesses these mechanisms. The findings indicate that large-scale agricultural operations significantly enhances grain production resilience. This positive effect is mediated by increased income levels among rural residents and grea
View details →Negative / Null Result ReportOpen accessPhysics and Astronomy
Zhuoming Zhang, Tengpeng Xu, Yun Chen · 2026 · The Astrophysical Journal
Abstract We present a Bayesian comparative analysis of five cosmological models: ΛCDM, w CDM, w 0 w a CDM, ϕ CDM (with scalar-field dark energy), and an interacting dark energy scenario (the ξ -index model), to investigate dark energy evolution and the Hubble tension. Utilizing the latest data from the second data release of the Dark Energy Spectroscopic Instrument (Baryon Acoustic Oscillations, BAO), Pantheon+ (type Ia supernovae, SNIa), and cosmic microwave background (CMB) data (including lensing) from Planck and the Atacama Cosmology Telescope, we report three key findings. First, the Hubb
View details →Negative / Null Result ReportOpen accessComputer Science
Prabha M. Kumarage, Mirka Saarela · 2026 · AI
Generative Artificial Intelligence (GenAI) models produce increasingly sophisticated outputs, yet their underlying mechanisms remain opaque. To clarify how explainability is conceptualized and implemented in GenAI research, this two-stage review systematically examined 261 articles retrieved from six major databases. After removing duplicates and applying predefined inclusion criteria, 63 articles were retained for full analysis. In the first stage, an umbrella review synthesized insights from 18 review papers to identify prevailing frameworks, strategies, and conceptual challenges surrounding
View details →Negative / Null Result ReportOpen accessMedicine
Xiaofeng Dai, Chongxiang Wang, Ping Jiang et al. · 2026 · MedComm
Chronic pain is a globally prevalent and complex condition, encompassing three primary subtypes, that is, nociceptive, neuropathic, and nociplastic, each with distinct biopsychosocial mechanisms. Chronic pain was historically viewed as a monolithic symptom and managed with opioid-centric models, causing widespread therapeutic failure. While recognition of its heterogeneity has driven a paradigm shift toward precision medicine, tailoring multimodal strategies to the dominant pain mechanism, critical challenges persist. These include difficulty in identifying treatable root causes, limited long-
View details →Negative / Null Result ReportOpen accessPsychology
Kağan Kırcaburun, Pınar Özdemir · 2026 · Behavioral Sciences
The rapid integration of generative artificial intelligence (GAI) tools into academic and professional contexts has raised concerns regarding unethical use and the potential development of problematic usage patterns. Drawing on personality and moral psychology frameworks, the present study examined the associations between antagonistic personality traits (narcissism, Machiavellianism, and psychopathy) and problematic (i.e., addictive) GAI use (PGAIU), as well as the chain mediating effect of moral disengagement and unethical GAI use (UGAIU). Data were collected from an adult sample (N = 491; 5
View details →Negative / Null Result ReportOpen accessMedicine
Wenjing Chen, Heng Tian, Ran Wei et al. · 2026 · International Journal of Molecular Medicine
Neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis, are characterized by progressive loss of neurons. Although the precise pathogenesis of such diseases is complex and…
View details →Negative / Null Result ReportOpen accessArts and Humanities
Mehdi Solhi, Majid Elahi Shirvan, Tahereh Taherian · 2026 · Asian-Pacific Journal of Second and Foreign Language Education
Abstract The dynamic and reciprocal nature of boredom and motivation in L2 classrooms remains underexplored and little is known about how L2 teachers’ perceived boredom (PTB), foreign language learning boredom (FLB), and L2 writing motivation (WM) evolve within and across individuals over time, particularly from a dynamic systems perspective. A total of 264 English as a foreign language (EFL) learners and 21 teachers participated, and data were collected using a 10-day experience sampling approach. We specifically examined three feedback loops—PTB-FLB, FLB-WM, and PTB-WM. Dynamic structural eq
View details →Negative / Null Result ReportOpen accessMedicine
Daniel R. Richardson, Ying Wang, Marie Anne Flannery et al. · 2026 · JAMA Oncology
Importance: Health care systems should strive to achieve outcomes that matter to patients. Limited data exist on the outcomes achieved by patients with cancer with different treatment outcome preferences. Objective: To describe treatment…
View details →Negative / Null Result ReportOpen accessChemistry
Weida Wang, Chunqi Wang, Baocheng Zhao et al. · 2026 · Foods
Soybean protein content is a key indicator of nutritional value and quality grade, and its determination is important for quality evaluation and cultivar selection. To overcome the time-consuming and costly limitations of conventional chemical assays, this study proposed a multiple linear learner ensemble importance-score wavelength selection (MLLEISWS) method to identify informative wavelengths from soybean near-infrared spectra and establish a partial least squares (PLS) model. MLLEISWS was compared with competitive adaptive reweighted sampling, successive projections algorithm, and uninform
View details →Negative / Null Result ReportOpen accessMedicine
Guiomar Mendieta, Paul M. Ridker, Barry A. Borlaug et al. · 2026 · European Journal of Heart Failure
AIMS: We hypothesized that targeting interleukin-6-a cytokine central to NOD-like receptor protein 3 (NLRP3) inflammasome activation that is associated with both the onset and progression of heart failure (HF)-may be beneficial in patients with HF and circulating evidence of cardiovascular inflammation but without overtly reduced ejection fraction (EF). We describe the rationale and design of two clinical trials (ATHENA and HERMES) investigating ziltivekimab, a human monoclonal antibody directed against the interleukin-6 ligand, in patients with HF and mildly reduced or preserved EF (HFmrEF/HF
View details →Negative / Null Result ReportOpen accessMedicine
Lama Alfehaid, Nada Alsuhebany, Yahya M K Tawfik et al. · 2026 · Frontiers in Cardiovascular Medicine
Venous thromboembolism (VTE) is a leading cause of preventable hospital-acquired morbidity and mortality. Despite the availability of effective prophylaxis, its application in clinical practice remains inconsistent, often due to uncertainty in risk stratification. This review evaluates the validity and implementation of VTE risk assessment models (RAMs) in medical inpatients. Seven widely used RAMs, Caprini, Padua, IMPROVE, IMPROVEDD, Wells, Geneva, and Kucher e-alert, are critically examined alongside emerging digital and biomarker-enhanced tools. The Padua and IMPROVE scores show consistent
View details →Negative / Null Result ReportOpen accessMedicine
Stosh Ozog, Elizabeth M. Krantz, Karyn Tindbaek et al. · 2026 · Nature Communications
Abstract Humoral immune-related adverse events, including hypogammaglobulinemia and B cell depletion, pose long-term infection risks after chimeric antigen receptor T cell therapy (CARTx) for hematologic malignancies. This prospective…
View details →Negative / Null Result ReportOpen accessMedicine
Bogang Wu, Win Thant, Elena Bitman et al. · 2026 · Journal for ImmunoTherapy of Cancer
ABSTRACT Background Immune exclusion inhibits anti-tumor immunity and response to immunotherapy, but its mechanisms remain poorly defined. In triple-negative breast cancer (TNBC), an aggressive and generally immune-rich subtype, an…
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