21,247 real negative results, null findings, and replication failures. Search the index →
WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record compiled from open scholarly databases; the abstract is shown in full only where the paper is openly licensed, otherwise a short excerpt under fair use. Classifications are automated and approximate.
Jenny Bouchard, Nicola Gasparre, Thomas Netticadan et al. · 2025 · Journal of Functional Foods
The integration of resveratrol, a naturally occurring, health promoting polyphenolic stilbene, into food systems poses a challenge due to its low water solubility, chemical instability, poor bioavailability, and bitter taste. To address…
View details →Ezequiel Mauro, Tiago de Castro, Marcus Zeitlhoefler et al. · 2025 · Journal of Hepatology
BACKGROUND & AIMS: Non-proportional hazards (NPH) can lead to discrepancies between interim (IA) and final analyses (FA) in randomized controlled trials (RCTs) of hepatocellular carcinoma (HCC). We assessed the impact of NPH in pivotal HCC…
View details →Joe V. Selby, Carolien C. H. M. Maas, Bruce Fireman et al. · 2025 · JAMA Network Open
Importance: The Predictive Approaches to Treatment Effect Heterogeneity (PATH) Statement of 2020 proposed predictive modeling for identifying heterogeneity in treatment effects (HTE) in randomized clinical trials (RCTs). It described 2 approaches: risk modeling, which develops a multivariable model predicting individual baseline risk of study outcomes and then examines treatment effects across strata of predicted risk, and effect modeling, which develops a model that directly predicts individual treatment effects using a variety of regression and machine learning methods. Objective: To identif
View details →Adriano Gravina, P. Gargiulo, Michelino De Laurentiis et al. · 2025 · ESMO Open
BACKGROUND: The Hormonal Bone Effects (HOBOE) study tested whether adjuvant triptorelin plus either letrozole (L) or zoledronic acid (Z) plus L (ZL) was more effective than tamoxifen (T) in premenopausal patients with hormone…
View details →Tatsuya Mimura, Hidetaka Noma · 2025 · Antioxidants
Age-related macular degeneration (AMD) is a leading cause of irreversible visual impairment in the elderly, and oxidative stress, primarily mediated by reactive oxygen species (ROS), is widely recognized as a central driver of its onset and progression. The retina is highly susceptible to oxidative damage due to its elevated oxygen consumption, abundant polyunsaturated fatty acids, and continuous exposure to light. Recent studies have elucidated molecular mechanisms in which mitochondrial dysfunction, disruption of redox homeostasis, inflammation, and complement activation interact to promote
View details →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →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 →Amalie Kjær Andresen, Mathilde Sophie Felding, Margarida M. A. Sacramento et al. · 2025 · Journal of Controlled Release
Bacterial biofilms pose a significant clinical challenge due to their intrinsic resistance to antibiotics and immune clearance. Traditional systemic antibiotic therapies are often ineffective against the structured microbial communities, emphasizing the urgent need for localized and targeted drug delivery systems. Hydrogels are three-dimensional, water-rich polymeric networks, and have emerged as a versatile platform for localized delivery of antimicrobial agents, offering controlled release, biocompatibility and the potential for functionalization with bioactive components. This review explor
View details →Sathish Babu Vasamsetti, Samreen Sadaf, Mohammad A. Uddin et al. · 2026 · Nature Communications
How cellular metabolism facilitates tissue-resident macrophage maintenance remains elusive. Here we show that visceral adipose tissue (VAT)-resident macrophages, unlike monocyte-derived macrophages, are enriched with mitochondrial-specific antioxidant enzymes restraining inflammation and promoting VAT homeostasis and insulin sensitivity. Additionally, VAT resident macrophages express high levels of plasminogen activator inhibitor type 2, encoded by SerpinB2, which is involved in the blood coagulation cascade. SerpinB2 promotes adipose resident macrophage survival by regulating mitochondrial ox
View details →Golan Carmi · 2025 · Education Sciences
Generative AI technologies are rapidly permeating higher education as innovative tools that support teaching and learning processes. This study investigates the integration of GenAI tools into academic learning and examines their influence on students’ learning effectiveness, attitudes, and satisfaction. A quantitative survey was administered to 485 college students. The findings indicate that students’ attitudes, satisfaction, and accumulated experience with GenAI constitute the most influential factors in promoting effective learning. Perceived advantages and disadvantages also play a substa
View details →Sahar Motamedi, Nina Ravoet, Jonas Dehairs et al. · 2025 · Nature Communications
Ferroptosis, a regulated form of cell death driven by lipid peroxidation, holds promise for targeting treatment-resistant cancer cells. Using a panel of melanoma cell lines, we uncover variability in the timing of ferroptosis onset upon…
View details →M. A. Huque, Leon M. Tolbert, Benjamin J. Blalock et al. · 2026 · IMAPSource Proceedings
High-temperature power conversion modules (DC-DC converters, inverters, etc.) have enormous potential in extreme environment applications, including automotive, aerospace, geothermal, nuclear, and well logging. Power-to-volume and…
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