Negative / Null Result ReportOpen accessMedicine
Xinyu Li, Tao Huang · 2025 · Breast Cancer
Hormone receptor-positive (HR +) and HER2-positive (HER2+) breast cancers represent a biologically unique subset of breast malignancies characterized by the co-expression of estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2). These cancers exhibit distinct molecular features, often leading to aggressive growth and higher recurrence rates. HR+/HER2+ breast cancer cells can utilize estrogen and HER2-driven signaling pathways to promote proliferation, survival, and metastatic potential, presenting unique challenges and opportunities for treat
View details →DOI: 10.1007/s12282-025-01779-3Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Erlei Zhi, Haowei Bai, Chuan Ren et al. · 2025 · Nature Communications
Mitochondrial fatty acid β-oxidation (FAO) is essential for energy production and cellular homeostasis, yet its role in sperm function has remained unclear. Through whole-exome sequencing (WES) of 800 patients with asthenozoospermia, we…
View details →DOI: 10.1038/s41467-025-63280-xCited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Wolfgang Wüster · 2025 · Vertebrate Zoology
The advent of molecular methods has revolutionised the field of species delimitation and description, one of the key tasks of systematic biology. In animal taxonomy, one marker, the mitochondrial DNA (mtDNA) molecule, has acquired and retained disproportionate influence. This is despite its uniparental, clonal mode of inheritance, as a result of which the entire molecule acts as a single locus, and that precludes its use as a test for admixture between putative lineages, a key consideration in species delimitation. To establish the extent to which the limitations of mtDNA affect present-day ta
View details →DOI: 10.3897/vz.75.e161536Cited 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 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 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 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 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 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 ReportMedicine
Toni K. Choueiri, R Motzer, Jose A. Karam et al. · 2026 · Journal of Clinical Oncology
LBA418 Background: Adjuvant pembrolizumab is a standard of care for patients with ccRCC at increased risk of recurrence following nephrectomy based on the phase 3 KEYNOTE-564 study (N Engl J Med 385:683; N Engl J Med 390:1359). Combination…
View details →DOI: 10.1200/jco.2026.44.7_suppl.lba418Cited by 9 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Najabat Ali, Md Reza Sultanuzzaman · 2026 · Energies
This study investigates the determinants of green energy penetration in the Next Eleven (N-11) economies over the period 2000–2022, with a particular focus on the roles of foreign direct investment (FDI), green transition, governance quality, industrial growth, and urbanization. The primary objective of the study is to assess how investment flows, structural transformation, and institutional capacity jointly shape the adoption of renewable energy in fast-growing emerging economies. To achieve this goal, the study employs a second-generation panel econometric and machine-learning framework that
View details →DOI: 10.3390/en19020541Cited by 9 Negative / Null Result ReportOpen accessBusiness, Management and Accounting
Floyd Khoza · 2025 · Journal of risk and financial management
Understanding the role of liquidity and leverage is crucial in assessing financial performance, particularly in the consumer goods sector. This study examined the impact of liquidity and leverage on financial performance, using a sample of 13 consumer goods firms listed on the Johannesburg Stock Exchange (JSE) from 2014 to 2024. Despite the present literature on this association, few traceable studies have investigated this phenomenon, and there is a dearth of literature in this sector. The dependent variable for this study was financial performance, and the return on assets (ROA) was employed
View details →DOI: 10.3390/jrfm18090510Cited by 9 Negative / Null Result ReportOpen accessComputer Science
Michael Vaccaro, Mikayla Friday, Arash E. Zaghi · 2025 · Applied Sciences
Multi-agent large language models promise flexible, modular architectures for delivering personalized educational content. Drawing on a pilot randomized controlled trial with middle school students (n = 23), we introduce a two-agent GPT-4 framework in which a Profiler agent infers learner-specific preferences and a Rewrite agent dynamically adapts science passages via an explicit message-passing protocol. We implement structured system and user prompts as inter-agent communication schemas to enable real-time content adaptation. The results of an ordinal logistic regression analysis hinted that
View details →DOI: 10.3390/app15137579Cited by 9 Negative / Null Result ReportOpen accessPhysics and Astronomy
W. V. Jacobson-Galán, Luc Dessart, Kyle W. Davis et al. · 2025 · The Astrophysical Journal
Abstract We present analysis of the plateau and late-time phase properties of a sample of 39 Type II supernovae (SNe II) that show narrow, transient, high-ionization emission lines (i.e., “IIn-like”) in their early-time spectra from interaction with confined, dense circumstellar material (CSM). Originally presented by W. V. Jacobson-Galán et al., this sample also includes multicolor light curves and spectra extending to late-time phases of 35 SNe with no evidence for IIn-like features at <2 days after first light. We measure photospheric phase light-curve properties for the distance-correct
View details →DOI: 10.3847/1538-4357/adfa23Cited by 9 Negative / Null Result ReportOpen accessImmunology and Microbiology
Nina Martino, Erin Sanders, Ramon Bossardi Ramos et al. · 2025 · Journal of Clinical Investigation
Severe systemic inflammatory reactions, including sepsis, often lead to shock, organ failure, and death, in part through an acute release of cytokines that promote vascular dysfunction. However, little is known about the vascular endothelial signaling pathways regulating the transcriptional profile in failing organs. Our work focused on signaling downstream of IL-6, due to its clinical importance as a biomarker for disease severity and predictor of mortality. Here, we show that loss of endothelial expression of the IL-6 pathway inhibitor SOCS3 promoted a type I IFN-like (IFNI-like) gene signat
View details →DOI: 10.1172/jci189570Cited by 9 Negative / Null Result ReportOpen accessSocial Sciences
John M. Carey, Brian J. Fogarty, Marília Gehrke et al. · 2025 · Science Advances
We investigate how to counter misinformation about voter and election fraud using data from the US and Brazil. Our study first compares two types of messages countering claims of widespread fraud: (i) retrospective corrections from…
View details →DOI: 10.1126/sciadv.adv3758Cited by 9 Negative / Null Result ReportOpen accessPhysics and Astronomy
Davide Faccialà, M. Bonanomi, Bruno Nunes Cabral Tenorio et al. · 2025 · Journal of the American Chemical Society
High Resolution Image Download MS PowerPoint Slide We report a study of the electronic and nuclear relaxation dynamics of the photoexcited RNA base uracil in the gas phase using time-resolved core-level photoelectron spectroscopy together with high-level calculations. The dynamics was investigated by trajectory surface hopping calculations, and the core ionization energies were calculated for geometries sampled from these. The molecule was excited by a UV laser and dynamics probed on the oxygen, nitrogen, and carbon sites by core electron spectroscopy. We find that the main de-excitation chann
View details →DOI: 10.1021/jacs.5c04874Cited by 9 Negative / Null Result ReportOpen accessEnvironmental Science
Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel et al. · 2025 · Computers and Electronics in Agriculture
Machine learning and geostatistics are two fundamentally different frameworks for the prediction and spatial mapping of soil properties. Geostatistics leverages the spatial structure of soil properties, whereas machine learning models capture the relationship between available environmental features and soil properties. We propose a hybrid framework that augments machine learning with spatial context through the engineering of ‘spatial lag’ features derived from ordinary kriging. We call this approach ‘kriging prior regression’ (KpR), as it reverses the logic of regression kriging by incorpera
View details →DOI: 10.1016/j.compag.2025.111352Cited by 9 Negative / Null Result ReportOpen accessNeuroscience
Sabine Willems, Vasily Morozov, Julian A. Marschner et al. · 2025 · Journal of Medicinal Chemistry
The ligand-activated transcription factors of the NR4A family are implicated as promising drug targets with neuroprotective and anticancer potential and attract strong attention in drug discovery. Several NR4A modulators have been…
View details →DOI: 10.1021/acs.jmedchem.5c00459Cited by 9 Negative / Null Result ReportOpen accessMedicine
Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata et al. · 2025 · Diagnostics
Inflammatory bowel diseases (IBDs), comprising Crohn's disease (CD) and ulcerative colitis (UC), are chronic immune-mediated inflammatory diseases of the gastrointestinal (GI) tract with still-elusive etiopathogeneses and an increasing prevalence worldwide. Despite the growing availability of more advanced therapies in the last two decades, there are still a number of unmet needs. For example, the achievement of mucosal healing has been widely demonstrated as a prognostic marker for better outcomes and a reduced risk of dysplasia and cancer; however, the accuracy of endoscopy is crucial for bo
View details →DOI: 10.3390/diagnostics15070905Cited by 9 Negative / Null Result ReportOpen accessPsychology
Pim Cuijpers, Mathias Harrer, Clara Miguel et al. · 2026 · Journal of Affective Disorders
It is not yet clear whether baseline severity is associated with the effects of psychotherapies. We examined baseline severity at the study level in a large sample of randomized controlled trials comparing psychotherapies against a control condition for the treatment of depression. We used an existing large database of randomized trials comparing psychotherapies for depression with control groups ( www.metapsy.org ). We converted baseline severity scores across different depression measures into a common metric. We ran bivariable and multivariable meta-regression analyses to examine the associ
View details →DOI: 10.1016/j.jad.2025.121106Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Fulai Zhou, Guangmao Mu, Honglei Bi et al. · 2025 · Cancers
Background. The dense hyaluronan (HA)-rich stroma in solid tumors can prevent effective tumor growth inhibition by hindering drug delivery and immune cell infiltration. However, the degradation of HA alone by systemic delivery of hyaluronidase has not shown significant improvement of tumor growth inhibition. Objectives/Methods. In this study, we targeted hyaluronan degradation by using antibody–enzyme (AbEn) molecules by fusing antibodies to a recombinant human hyaluronidase (HYAL). Results. The AbEn molecules were stable, retained both antigen-binding and enzymatic activities, and demonstrate
View details →DOI: 10.3390/cancers17213411Cited by 9 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Muhammad Murad, Muhammad Ahmed, Nizam ul din et al. · 2026 · AgriEngineering
Artificial intelligence (AI) shows great promise for transforming the agriculture sector and can enable the development of many modern farming practices over conventional methods. Nowadays, AI agents and agentic AI have attained popularity due to their autonomous structure and working mechanism. This research work proposes an agentic AI framework that integrates multiple agents developed for farming land to promote climate-smart agriculture and support United Nations (UN) sustainable development goals (SDGs). The developed structure has four agents: Agent A for monitoring soil properties, Agen
View details →DOI: 10.3390/agriengineering8010008Cited by 9 Negative / Null Result ReportOpen accessMedicine
Elliott J. Jenkins, Joseph A. Killick, Owain Zerilli et al. · 2025 · The Journal of Physiology
Abstract Long‐term heat acclimation has been shown to elevate haemoglobin mass (Hb mass ) and enhance maximal oxygen consumption (). To date, however, all evidence derives from exercise‐induced heat stress, making it unclear whether passive strategies, which allow athletes to maintain training intensities, can produce similar adaptations. Moreover, while heat‐induced increases in are often attributed to haematological changes, adaptation of other convective components of oxygen transport may underpin these improvements. To investigate whether 5 weeks of hot‐water immersion (HWI) would enhance
View details →DOI: 10.1113/jp289874Cited by 9 Negative / Null Result ReportOpen accessEngineering
Hanxu Ma, Shunda Qiao, Ying He et al. · 2026 · Reports on Progress in Physics
Abstract This paper proposed an optical detection mechanism that utilized orthogonal phase modulation (OPM) and Lissajous mode decoupling within a light-induced thermoelastic spectroscopy (LITES) sensor for the first time, enabling…
View details →DOI: 10.1088/1361-6633/ae79a3Cited by 9 Negative / Null Result ReportOpen accessPsychology
Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher · 2026 · Nature
. Here we show how this can create a significant trade-off: optimizing language models for warmth can undermine their performance, especially when users express vulnerability. We conducted controlled experiments on five different language models, training them to produce warmer responses, then evaluating them on consequential tasks. Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccurate factual information and offering incorrect medical advice. They were also significantly more lik
View details →DOI: 10.1038/s41586-026-10410-0Cited by 9 Negative / Null Result ReportOpen accessEngineering
Mohamed Abdellatief, Mohamed Mortagi · 2026 · Scientific Reports
Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilized clayey soil is critical for geotechnical engineering. Conventional regression algorithms and even advanced machine learning approaches such as artificial neural networks often struggle to fully capture the highly non-linear interactions among soil properties and geopolymer mix parameters while maintaining computational efficiency and interpretability on limited datasets. To address these challenges, this investigation proposes a novel hybrid predictive framework based on a sector fruit fly optimization al
View details →DOI: 10.1038/s41598-026-47208-zCited by 9 Negative / Null Result ReportOpen accessPharmacology, Toxicology and Pharmaceutics
Remonda Raafat Ragheb, Rodayana Atef, Kareem Abdou et al. · 2026 · AAPS PharmSciTech
Abstract Venous thromboembolism (VTE) and pulmonary embolism (PE), remains a major global health burden, necessitating prolonged and reliable anticoagulant therapy. Although Apixaban (APX) is a cornerstone oral anticoagulant for VTE management, its therapeutic performance is limited by poor aqueous solubility and low oral bioavailability. To overcome these challenges, this study introduces a hybrid niosomal delivery system designed to enhance the absorption and systemic persistence of APX. The system was engineered by integrating hybrid of surfactants together with cholesterol to form a stable
View details →DOI: 10.1208/s12249-026-03374-xCited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Zhenghao Sun, Qian Gong, Zi-lai Wang et al. · 2026 · International Journal of Biological Sciences
The gut microbiota, as a source of profound genetic and metabolic capacity, affects every aspect of human biology including health, development and aging, as well as disease. Studies have demonstrated the crosstalk between the gut…
View details →DOI: 10.7150/ijbs.124499Cited by 9 Negative / Null Result ReportOpen accessMedicine
Xiaohua Xiao, Xueqin Yan, Chunhua Liang et al. · 2026 · Frontiers in Neurology
Alzheimer's disease (AD) is a gradual and irreversible decline in the brain's ability to function which is not only signified by amyloid-beta plaques and neurofibrillary tangles but also by and metabolic and mitochondrial changes that have a negative impact on the classical neuropathological hallmarks. It is becoming increasingly clear that the central roles in the process of synaptic dysfunction, neuronal death and cognitive decline are played by the brain's impaired glucose utilization, insulin resistance, lipid metabolism alterations, and energy homeostasis disruption. Mitochondrial dysfunc
View details →DOI: 10.3389/fneur.2026.1772036Cited by 9 