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 →DOI: 10.3390/bs16040500Cited by 9 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 →DOI: 10.3892/ijmm.2026.5790Cited by 9 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 →DOI: 10.1186/s40862-026-00388-7Cited by 9 Replication FailureOpen accessMedicine
Nick Woznitza, Lesley Smith, Janette Rawlinson et al. · 2026 · Nature Medicine
Prioritizing artificial intelligence (AI)-detected imaging findings may reduce the time to diagnosis of lung cancer. This prospective, multicentre, randomized controlled trial tested whether immediate AI prioritization of primary care-requested chest X-rays (CXR) influenced time to computed tomography (CT) and lung cancer diagnosis, the primary outcomes. Secondary outcomes included the number of urgent suspected lung cancer referrals, incidence and stage of lung cancer, times to urgent referral and treatment, concordance between AI and radiology reports, and algorithm accuracy. AI was availabl
View details →DOI: 10.1038/s41591-026-04253-5Cited by 9 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 →DOI: 10.1001/jamaoncol.2026.0072Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Alessia Paganelli, Federica Papaccio, Mauro Picardo et al. · 2025 · Frontiers in Pharmacology
Vitiligo is a chronic autoimmune condition characterized by the destruction of melanocytes, leading to patchy loss of skin depigmentation. Although its precise cause remains unclear, recent evidence suggests that metabolic disturbances, particularly oxidative stress and mitochondrial dysfunction, may play a significant role in the pathogenesis of the disease. Oxidative stress is thought to damage melanocytes and trigger inflammatory responses, culminating in melanocyte immune-mediate destruction. Additionally, patients with vitiligo often exhibit extra-cutaneous metabolic abnormalities such as
View details →DOI: 10.3389/fphar.2025.1546836Cited by 9 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 →DOI: 10.3390/foods15101755Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Efrain Ricardo Torres, Jennifer Wilcox, W. H. Wilson Tang · 2025 · Gut Microbes
Trimethylamine N-oxide (TMAO) has garnered considerable attention because of its role in the pathophysiology and pathogenesis of various disorders, particularly heart and kidney disease. Gut microbes produce trimethylamine (TMA) moieties from common dietary precursors, such as choline or carnitine, which are subsequently metabolized by the liver into TMAO. Circulating TMAO then exerts various effects, influencing dyslipidemia, metabolic syndrome, endothelial dysfunction, and inflammation, as well as other detrimental processes. Many existing medications have been shown to decrease TMAO levels
View details →DOI: 10.1080/19490976.2025.2604868Cited by 9 Negative / Null Result ReportOpen accessComputer Science
Muhammad Dawood, Kim Branson, Sabine Tejpar et al. · 2026 · Nature Biomedical Engineering
Deep learning models that infer clinically relevant biomarker status from tissue images are being explored as rapid and low-cost alternatives to molecular testing. Here we show, through statistical analysis across multiple cancer types, datasets and modelling approaches, that the datasets used to train these models contain strong dependencies between biomarkers and clinicopathological features, which prevent models from isolating the effect of a single biomarker and lead them to learn confounded signals. Consequently, their prediction accuracy varies substantially with the status of codependen
View details →DOI: 10.1038/s41551-026-01616-8Cited by 9 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 →DOI: 10.1093/ejhf/xuag153Cited by 9 Negative / Null Result ReportOpen accessImmunology and Microbiology
Weiye Chen, Yige Zeng, Jinxin Zheng et al. · 2026 · Nature Medicine
Antimicrobial resistance (AMR) poses a major global health threat, yet the effectiveness of national action plans (NAPs) remains uncertain. Here we developed a multidimensional One Health governance index through a structured Delphi expert…
View details →DOI: 10.1038/s41591-026-04257-1Cited by 9 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 →DOI: 10.3389/fcvm.2025.1738139Cited by 9 Replication FailureOpen accessMedicine
Domenica Lorusso, Laurence Gladieff, David M O'Malley et al. · 2026 · The Lancet
BACKGROUND: Relacorilant is a selective glucocorticoid receptor antagonist that increases the sensitivity of many cancer cell types to chemotherapy. The efficacy and safety of relacorilant plus nab-paclitaxel were assessed in the phase 3 ROSELLA (GOG-3073, ENGOT-ov72, APGOT-Ov10, and LACOG-0223) trial; the combination showed significant improvement in progression-free survival among patients with platinum-resistant ovarian cancer compared with nab-paclitaxel monotherapy. Results of the final overall survival analysis are reported here. METHODS: intravenously on the aforementioned schedule). Pa
View details →DOI: 10.1016/s0140-6736(26)00462-9Cited by 9 Negative / Null Result ReportOpen accessNeuroscience
Ryan J. Farrell, S. Thomas Hennigan, Kirsten G. Bredvik et al. · 2026 · The Journal of General Physiology
The ER is an important regulator of Ca2+ in cells and dysregulation of ER Ca2+ homeostasis can lead to numerous pathologies. Understanding how various pharmacological and genetic perturbations of ER Ca2+ homeostasis impact cellular…
View details →DOI: 10.1085/jgp.202413564Cited by 9 Negative / Null Result ReportOpen accessMedicine
Niklas Mattsson-Carlgren, Sebastian Palmqvist, Kanta Horie et al. · 2026 · The Lancet Neurology
BACKGROUND: Alzheimer's disease pathology can be accurately identified with blood biomarkers (core 1 biomarkers), including plasma p-tau217 tests. Biomarkers that change longitudinally after diagnosis (core 2 biomarkers) can increase confidence that Alzheimer's disease pathology is contributing to cognitive symptoms. Plasma eMTBR-tau243 reflects tau tangle pathology and is a promising core 2 biomarker. We aimed to examine whether, among patients positive for plasma p-tau217, plasma eMTBR-tau243 improves classification of established Alzheimer's disease and predicts cognitive decline and tau ta
View details →DOI: 10.1016/s1474-4422(26)00029-3Cited by 9 Negative / Null Result ReportOpen accessEngineering
Zhenlin Zhang, Lang Yan, Weiwei Li et al. · 2026 · Nature Communications
In the development of clinically translatable triplet photosensitizers for hypoxia regulated photodynamic therapy (PDT), there is an unmet need for engineering sensitizers as near-infrared (NIR)-responsive, type I/type Ⅱ dual…
View details →DOI: 10.1038/s41467-026-71476-yCited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Alfonz Kedves, Máté Balogh, Jamsheed Abbas Dar et al. · 2026 · Bioresource Technology
The increasing occurrence of microplastics and antibiotics in wastewater poses emerging challenges for biological treatment processes. Microalgal-bacterial granular sludge (MBGS) has emerged as an efficient algae-based biotechnology for wastewater treatment; however, its response to simultaneous exposure to these contaminants remains largely unexplored. Here, the effects of degradable polycaprolactone microplastics (PCL MPs) and sulfamethoxazole (SMX) were evaluated at 1 mg/L during granulation and long-term operation. PCL alone caused only minor changes, whereas SMX impaired granule stability
View details →DOI: 10.1016/j.biortech.2026.134820Cited by 9 Negative / Null Result ReportOpen accessMedicine
Ashley Lu, Wei-Ting Chen, Maria Dalby et al. · 2026 · Nature Medicine
Alzheimer's disease (AD) is not an inevitable outcome of pathology but a dynamic process shaped by how brain cells respond to amyloid-β (Aβ) and tau. To disentangle these responses, we combined spatial transcriptomics and single-nucleus RNA sequencing of the superior frontal cortex from octogenarians living with or without dementia and from cognitively intact centenarians with comparable Aβ accumulation. We identified six distinct tissue domains representing a spatial pathological continuum of AD, with a key inflection point marked by a shift from Aβ-associated inflammatory changes to tau-asso
View details →DOI: 10.1038/s41591-026-04393-8Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Canan Doğanlı, Oskar Kaaber Thomsen, Daniel A. Baird et al. · 2026 · PLoS Biology
Pathogenic variants in the genes encoding the non-canonical TGFB signaling components TAK1 (MAP3K7 ) , TAB2 and PKA-Cα (PRKACA) cause rare multisystem disorders, which may include congenital heart disease (CHD). To investigate the role of TAK1 signaling in CHD, we performed genetic analysis of CHD patients and discovered an increased burden of rare TAB2 and TAK1 variants in patients with extracardiac abnormalities. To address the mechanism of TAK1 in heart development, we performed experiments in cell and animal models. Zebrafish tak1 and tab2 mutants presented with cardiac and extracardiac de
View details →DOI: 10.1371/journal.pbio.3003902Cited 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 Replication FailureOpen accessMedicine
Ambrose Agweyu, Paul Mwaniki, Vaishnavi Menon et al. · 2026 · Nature Medicine
Rigorous evidence on the performance of large language models (LLMs) in real-world, low-resource clinical settings remains limited. Here we conducted a pragmatic, cluster-randomized trial in 16 primary care facilities in Kenya. Clinical officers were randomized to use the electronic medical record with or without LLM assistance. The primary outcome was an expert-adjudicated composite of treatment failure events experienced within 14 days of enrollment. Between 22 April and 16 July 2025, 9,691 patients were enrolled, overseen by 103 clinical officers (52 in the LLM-assisted arm and 51 in the co
View details →DOI: 10.1038/s41591-026-04503-6Cited by 9 Replication FailureOpen accessMedicine
Chloe Stanley, Ritwika Mallik, Nausheen Hamid et al. · 2026 · Nature Medicine
A suboptimal clinical response after metabolic and bariatric surgery (MBS) is common and carries considerable health concerns. Here a double-blinded, randomized (1:1), placebo-controlled trial using semaglutide 2.4 mg weekly (BARI-STEP) recruited adult participants at least 1 year after gastric bypass or sleeve gastrectomy with a suboptimal clinical response, defined as less than 20% weight loss from surgery. This was an adjunct to lifestyle intervention with a 500-kcal daily energy deficit. The primary outcome was percentage weight loss after 68-week treatment on an intention-to-treat analysi
View details →DOI: 10.1038/s41591-026-04416-4Cited by 9 Negative / Null Result ReportOpen accessArts and Humanities
Guangxiang Liu, Md Kamal Hossain · 2026 · Journal of Computer Assisted Learning
ABSTRACT Background Amid Bangladesh's national efforts to enhance digital inclusion, rural university students continue to face persistent infrastructural and educational inequalities that limit their access to quality English learning…
View details →DOI: 10.1002/jcal.70196Cited by 9 Negative / Null Result ReportOpen accessEngineering
E. Maartensson, N. Welch, M. Scarpari et al. · 2026 · Nuclear Fusion
Abstract ST-E1 is Tokamak Energy’s commercially competitive fusion power plant design featuring a lifetime high-temperature superconducting (HTS) magnet cage, which has completed its pre-concept design stage. A central challenge at the pre-concept stage is the need to iteratively and consistently integrate the development of the magnet cage, core plasma physics, and power-exhaust systems, while avoiding serial design loops and late discovery of infeasible operating scenarios. Accurate representation of inductive current drive is particularly critical, as it tightly couples magnetic equilibria,
View details →DOI: 10.1088/1741-4326/ae773bCited by 9 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 →DOI: 10.1038/s41467-026-71473-1Cited by 9 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…
View details →DOI: 10.1136/jitc-2025-012265Cited by 9 Negative / Null Result ReportOpen accessNursing
Clara Barnés-Calle, P. Gou, E. Fulladosa et al. · 2026 · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
Fourier transform infrared spectroscopy (FTIR) combined with Amide I band deconvolution has been used to investigate protein structural changes occurring during high moisture extrusion processing (HMEP). However, it is a sensitive,…
View details →DOI: 10.1016/j.saa.2026.127509Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Andreas R. Gschwind, Kristy S. Mualim, Alireza Karbalayghareh et al. · 2026 · Nature
Abstract Identifying transcriptional enhancers and their target genes is essential for understanding gene regulation and the effect of human genetic variation on disease 1–6 . Here we create and evaluate a resource of more than 92 million enhancer–gene regulatory interactions across 1,458 biosamples covering 369 cell types and tissues, by integrating predictive models, chromatin states, three-dimensional contacts and large-scale genetic perturbations generated by the ENCODE Consortium 7 . We first create a systematic benchmarking pipeline to compare predictive models, assembling a dataset of 1
View details →DOI: 10.1038/s41586-026-10781-4Cited by 9 Negative / Null Result ReportOpen accessMaterials Science
Adna Hrapović, Nadia Islam, Asmaa Al Bourghli et al. · 2026 · PeerJ
The growing global demand for effective and safe therapeutics has accelerated advances in biomaterials for drug delivery applications. Biomaterials, including polymers, metals, ceramics, and composites, play a central role in modern medical devices and therapeutic systems by enabling controlled interactions with biological environments. Initially defined as inert materials interfacing with biological systems, biomaterials are now rationally engineered to treat, replace, or evaluate tissue and organ functions. Recent progress in regenerative medicine, nanotechnology, and precision healthcare ha
View details →DOI: 10.7717/peerj.20982Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Pengfei Fu, Xijie Li, Zhongxiang Sun et al. · 2025 · Evolutionary Applications
As a migratory agricultural pest, the fall armyworm has been in the spotlight since it invaded Africa in 2016. Invasive populations have now colonized much of the Eastern Hemisphere, causing severe damage to a wide range of crops. However, there is still disagreement internationally on the origin and mode of invasion of fall armyworm populations, especially from the Americas to China. In this study, we provided an in-depth insight into the invasion of the fall armyworm in the Eastern hemisphere based on genome-wide data from 124 fall armyworm individuals collected from 14 sites across three co
View details →DOI: 10.1111/eva.70086Cited by 9 