A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.
WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.
21697 results · page 154 of 724
Bilal A. Siddiqui, Sumit K. Subudhi, Padmanee Sharma · 2022 · Cell Reports Medicine
The addition of atezolizumab (anti-PD-L1) to enzalutamide (androgen receptor antagonist) did not prolong survival in metastatic prostate cancer.1Powles T. Yuen K.C. Gillessen S. Kadel 3rd, E.E. Rathkopf D. Matsubara N. Drake C.G. Fizazi K.…
Wen Sun, Pan Zhang, Miaomiao Hu et al. · 2025 · Radiology
= .39). Conclusion In patients with VBAO admitted with an NIHSS score of 10 or less, early EVT (DPT ≤ 120 minutes) combined with BMM outperformed BMM alone, whereas late EVT (DPT > 120 minutes) combined with BMM did not outperform BMM…
Chitra Priyadarshani, Ranjan Laik, Sumit Sow et al. · 2025 · Archives of Agronomy and Soil Science
Integrated crop residue management with micronutrient application can effectively addresses dual challenges of maintaining productivity while enhancing grain nutritional quality of rice in calcareous soils. This study evaluated the role of different soil properties for enhancing yield and grain quality of rice under 29 years of long-term effects of crop residue incorporation and zinc (Zn) fertilization in calcareous Typic Haplaquepts soils. Results showed 100% crop residue incorporation significantly enhanced soil organic carbon (SOC), available nitrogen, available Zn, soil respiration, and we
Athina Trachalaki, Anna Lindahl, Simone Petrarulo et al. · 2025 · Breathe
Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease with limited treatment options. Despite the approval of pirfenidone and nintedanib that slow disease progression, IPF remains a disease with poor survival. Promising therapeutic…
Zhendong Zhao, Huiwang Dai, Tiantian Nie et al. · 2025 · Nature Communications
High-valent iron-oxo species (FeIV=O) have garnered increasing attention for water purification, while the selective generation of FeIV = O in Fenton-like reactions still lacks an effective control protocol at the atomic level. Here, we…
Yadong Yang, Lei Xu, Yongdong Li et al. · 2025 · Journal of Extracellular Vesicles
ABSTRACT Bacterial outer membrane vesicles (OMVs) are emerging as promising platforms for drug delivery and immunotherapy. However, bacteria only secrete a small amount of OMVs during the growth process, which seriously restricts their…
Malte L Schmieding, Marvin Kopka, Myrto Bolanaki et al. · 2025 · Journal of Medical Internet Research
BACKGROUND: Symptom checker apps (SCAs) are layperson-facing tools that advise on whether and where to seek care, or possible diagnoses. Previous research has primarily focused on evaluating the accuracy, safety, and usability of their recommendations. However, studies examining SCAs' impact on clinical care, including the patient-physician interaction and satisfaction with care, remain scarce. OBJECTIVE: This study aims to evaluate the effects of an SCA on satisfaction with the patient-physician interaction in acute care settings. Additionally, we examined its influence on patients' anxiety a
Steven D. Nathan, Victoria Lacasse, Heidi Bell et al. · 2024 · Pulmonary Circulation
The PERFECT study, a randomized, controlled, double-blind study of inhaled treprostinil in patients with COPD and associated pulmonary hypertension (PH-COPD) was a negative trial that was terminated early. The reason(s) for the negative…
Jason E. Pope, Ajay Antony, Erika Petersen et al. · 2024 · Pain and Therapy
INTRODUCTION: Drawbacks of fixed-output spinal cord stimulation (SCS) screening trials may lead to compromised trial outcomes and poor predictability of long-term success. Evoked compound action potential (ECAP) dose-controlled closed-loop…
Chao Jiang, Yingying Dai, Yunheng Ding et al. · 2024 · Brain Sciences
Electroencephalography (EEG)-based emotion recognition is increasingly pivotal in the realm of affective brain-computer interfaces. In this paper, we propose TSANN-TG (temporal-spatial attention neural network with a task-specific graph), a novel neural network architecture tailored for enhancing feature extraction and effectively integrating temporal-spatial features. TSANN-TG comprises three primary components: a node-feature-encoding-and-adjacency-matrices-construction block, a graph-aggregation block, and a graph-feature-fusion-and-classification block. Leveraging the distinct temporal sca
Giacomo Mutti, Eduard Ocaña‐Pallarès, Toni Gabaldón · 2025 · Molecular Biology and Evolution
Recent developments in protein structure prediction have allowed the use of this previously limited source of information at genome-wide scales. It has been proposed that the use of structural information may offer advantages over…
Jayeshkumar Kanani · 2025 · The Egyptian Journal of Neurosurgery : the official publication of the Egyptian Society of Neurological Surgeons/Egyptian journal of neurosurgery
Abstract Background Hemangioblastomas are rare, slow-growing benign neoplasms predominantly affecting the central nervous system (CNS). Despite their benign nature, they pose diagnostic challenges due to their diverse clinical manifestations and radiological features. Case presentation. A 40-year-old male presented with chronic headaches and diplopia persisting for 8 years. Initial MRI revealed two cystic lesions in the cerebellum, causing compression and herniation. Surgical removal of one cyst yielded inconclusive results. Follow-up MRIs showed cyst growth and syrinx development. The patient
Jong Won Shin, Minh Nguyen Thien, Sun Ha Jee · 2025 · Healthcare
Background: Bilirubin is a potent endogenous antioxidant that plays a key role in regulating oxidative stress and inflammation, both closely linked to lung carcinogenesis. This study reinterprets the ALBI (Albumin–Bilirubin) and PALBI (Platelet–Albumin–Bilirubin) indices as composite markers of antioxidant and inflammatory status and evaluates their associations with lung cancer risk by sex, including stratified analyses by major lifestyle factors such as smoking and alcohol use. Methods: This study utilized data from the Korean Cancer Prevention Study-II (KCPS-II) cohort, which included 133,6
Jing Zeng, Ali Punjwani · 2025 · Sustainability
Achieving environmental sustainability remains a critical challenge for governments worldwide, particularly within the G20 bloc, due to rapid urbanization, resource-intensive industrial activities, and the environmental pressures associated with globalization. Despite various efforts, ecological degradation continues to escalate, necessitating a deeper understanding of the factors influencing environmental sustainability. This study investigates the role of technological innovation (TLI), education (EDU), human capital (HMC), and natural resources (NTS) in shaping ecological sustainability, wh
Abdulalem Mohammed, Abdullah Kaid Al‐Swidi, Mohammed A. Al-Hakimi et al. · 2025 · Discover Sustainability
The relationship between Corporate Social Responsibility (CSR) and competitive advantage (CA) has become more critical than ever for firms, particularly in the hospitality and other service industries, during times of crisis. This study…
Julien Vionnet, Jorge P. Torres-Yaguana, Rosa Miquel et al. · 2024 · American Journal of Transplantation
The maintenance of stable allograft status in the absence of immunosuppression (IS), known as operational tolerance, can be achieved in a small proportion of liver transplant recipients, but we lack reliable tools to predict its spontaneous development. We conducted a prospective, multicenter, biomarker-strategy design, IS withdrawal clinical trial to determine the utility of a predictive biomarker of operational tolerance. The biomarker test, originally identified in a patient cohort with high operational tolerance prevalence, consisted of a 5-gene transcriptional signature measured in liver
Matthias Klein, J. J. Mohr, C. T. Davies · 2024 · Astronomy and Astrophysics
Galaxy clusters are useful cosmological probes and interesting astrophysical laboratories. As the cluster samples continue to grow in size, a deeper understanding of the sample characteristics and improved control of systematics becomes more crucial. For this analysis we created a new and larger ACT-DR5-based thermal Sunyaev–Zel’dovich Effect- (tSZE-) selected galaxy cluster catalog with improved control over sample purity and completeness. We employed the red sequence based cluster redshift and confirmation tool MCMF together with optical imaging data from the Legacy Survey DR-10 and infrared
Faisal AlReshaid, Alper Ertürk, Razan Alkhayyat et al. · 2025 · Frontiers in Psychology
Introduction: Leaders' self-awareness is essential to leadership effectiveness. Cognitive styles-how individuals perceive and process information-are key factors in fostering self-awareness. Drawing on Social Identity Theory (SIT), this study explores whether cognitive style congruence between supervisors and subordinates enhances supervisors' self-awareness, and whether Leader-Member Exchange (LMX) mediates this relationship. Methods: We used a time-lagged dyadic design and multilevel polynomial regression to analyze data from 189 subordinates and 36 supervisors. Cognitive styles were measure
Muhammad Asif, Long Yun-rong, Muhammad Azam Zia et al. · 2025 · Energy & Environment
Climate change, caused by the burning of fossil fuels, has emerged as an acute world problem, especially in the Group of Twenty (G20), where CO 2 emissions and other greenhouse gases are accumulating. This research examines how energy…
Muhammad Haziq Saharuddin, M. Khalid M. Nasir, Muhammad Sofwan Mahmud · 2025 · International Journal of Learning Teaching and Educational Research
Technological pedagogical content knowledge (TPACK) is a theory that describes the knowledge and skills required by a teacher to integrate technology into their teaching. This study aimed to identify the level of TPACK among primary school…
Chiara Livolsi, R. Conti, Tommaso Ciapetti et al. · 2025 · Scientific Reports
Millions of individuals surviving a stroke have lifelong gait impairments that reduce their personal independence and quality of life. Reduced walking speed is one of the major problems limiting community mobility and reintegration. Previous studies have shown positive effect of robot-assisted gait training utilizing hip exoskeletons for individuals with gait impairments due to a stroke, leading to increased walking speed in post-treatment compared to pre-treatment assessments. However, no evidence emerged of a significant increasing in walking speed attributable to device usage compared to wa
Chris J. Willott, Yoshihisa Asada, Kartheik G. Iyer et al. · 2025 · The Astrophysical Journal
Abstract We present JWST observations of a gravitationally lensed, extremely metal-poor galaxy at redshift z = 8.203 ± 0.001 from the CANUCS survey. Based on the low oxygen to Balmer line ratios, we infer a gas-phase metallicity of 12 + log(O/H) = 6.85 (1.4% solar), making CANUCS-A370-z8-LAE one of the most metal-poor galaxies known at z > 7. The galaxy has a high H β equivalent width of 225 ± 50 Å, small half-light radius of only r hl = 3 8 − 19 + 3 pc, and high star formation rate density of 50–100 M ⊙ yr −1 kpc −2 . The galaxy shows high-equivalent-width Ly α emission with an i
T. Zhang, Chuan Qin, Zhaoying Lu · 2025 · International Review of Economics & Finance
This study investigates the relationship between firm-level market competitiveness and corporate environmental, social, and governance (ESG) performance, with a particular focus on the underlying mechanisms and moderating factors…
Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla et al. · 2025 · Macromolecular Rapid Communications
ABSTRACT Machine learning and artificial intelligence have revolutionized polymer science by enhancing the ability to rapidly predict key polymer properties and enabling generative design. The utilization of large language models (LLMs) in polymer informatics may offers additional opportunities for advancement. Unlike traditional methods that depend on large labeled datasets, hand‐crafted representations of the materials, and complex feature engineering, LLM‐based methods utilize natural language inputs via a transfer learning process and eliminate the need for complex representation and finge
Şafak Kılıç · 2025 · PLoS ONE
BACKGROUND AND OBJECTIVE: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CB
Mengting Zhu, Jonathan Lee · 2025 · Nutraceuticals
Short-chain fatty acids (SCFAs) are metabolites derived from the fermentation of dietary fibre by gut bacteria. SCFAs function as essential regulators of host-microbiome interactions by participating in numerous physiological and pathological processes within the gastrointestinal (GI) tract. In recent years, the depletion of SCFAs has been increasingly linked to the pathogenesis of GI diseases. In this review, we summarize the current understanding of the therapeutic mechanisms of SCFAs in GI diseases, including inflammatory bowel disease, irritable bowel syndrome, metabolic dysfunction-associ
Borbála Turcsán, Dorottya Júlia Ujfalussy, Andrea Kerepesi et al. · 2025 · Scientific Reports
Most dog owners in Western countries regard their dogs as companions or family members, prompting extensive research on the human-animal bond. However, many studies rely on broad categories or single dimensions, such as satisfaction or attachment, which can oversimplify the complexity of these relationships. In contrast, our study employed a multifaceted approach, examining the dog-owner bond across 13 relationship scales and comparing these scales to four different types of human relationships to reveal the human-like roles of dogs within a family. Participants (N = 717) characterized their r
Gabriel Baldanzi, Anna Larsson, Sergi Sayols-Baixeras et al. · 2026 · Nature Medicine
Disruptions in gut microbiome are implicated in cardiometabolic disorders and other health outcomes. Antibiotics are known gut microbiome disruptors, but their long-term consequences remain underexplored. Here we combined individual-level data from the Swedish Prescribed Drug Register with fecal metagenomes of 14,979 adults to examine the association between oral antibiotic use over 8 years and gut microbiome. In multivariable confounder-adjusted regression models, antibiotic use <1 year before fecal sampling was associated with the greatest reduction in species diversity, but significant asso
Sherry S. Y. Nyeo, Erin M. Cumming, Oliver S. Burren et al. · 2026 · Nature
Abstract Epstein–Barr virus (EBV) is an endemic herpesvirus implicated in autoimmunity, cancer and neurological disorders. Although primary infection is often subclinical, persistent EBV infection can drive immune dysregulation and long-term complications. Despite the ubiquity of infection, the determinants of EBV persistence following primary exposure remain poorly understood, although human genetic variation partially contributes to this phenotypic spectrum 1–3 . Here we demonstrate that existing whole genome sequencing (WGS) data of human populations can be used to quantify persistent EBV D
Jörg Matthes, Anne Reinhardt, Selma Hodzic et al. · 2026 · Journal of Medical Internet Research
Background: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In the health context, generative AI is seen as a potentially disruptive information source due to its low entry barriers, conversational style, and ability to tailor content to users' needs. However, little is known about whether and how individuals use generative AI for health purposes, and which groups may benefit or be left behind, raising important questions of digital health equity. Objective: This study aimed to assess the current relevance