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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.
Federico de Gregorio, Kasey Windels · 2020 · Journal of Advertising
This exploratory research tests two competing general predictions: the expert-performance literature predicting creatives will demonstrate greater creativity than others while the process-performance paradox literature predicting they will…
View details →J. Robert McCorkle, Rebecca Ahn, Connie D. Cao et al. · 2024 · Cancers
) known as artemisinins. Artesunate has traditionally been used as a frontline treatment for severe malaria but has also demonstrated antineoplastic activity against various malignancies, including ovarian cancer. Data suggest that artesunate exacerbates cellular oxidative stress, triggering apoptosis. In the current study, we investigated the ability of navitoclax, an inhibitor of the antiapoptotic Bcl-2 protein family, to enhance artesunate efficacy in ovarian cancer cells. Artesunate and navitoclax both demonstrated antiproliferative effects on 2D and 3D ovarian cancer cell models as single
View details →Surya Prakash, Aritra Das, Sidrat Tasawoor Kanth et al. · 2021 · Cerebral Cortex
Local field potentials (LFPs) in visual cortex are reliably modulated when the subject's focus of attention is cued into versus out of the receptive field of the recorded sites, similar to modulation of spikes. However, human psychophysics…
View details →Matthew S W Rassette, Elizabeth I. Pierpont, Tina Wahl et al. · 2011 · PubMed
Treatment of Northern fowl mite (Ornithonyssus sylviarum) infestation on poultry in research facilities can be challenging. The mite has a rapid reproductive cycle (egg to adult in 5 to 7 d), and chemical treatments can be toxic to birds,…
View details →Eisha Hassan, Fazila‐Tun‐Nesa Malik, Qazi Waqas Khan et al. · 2025 · IEEE Access
Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. While famous for its simplicity, the most commonly used algorithm, K-Means, suffers from issues such as finding the optimal value for k and random initialization of the centroids. In this paper, we propose a hybrid methodology combining K-Means++ with the metaheuristic algorithm PSO to overcome the challenges of both these algorithms. K-Means++ is a smart initialization technique that selects clusters based on probabili
View details →Urszula Smyczyńska, Szymon Grabia, Zuzanna Nowicka et al. · 2021 · Cancers
State-of-art normal tissue complication probability (NTCP) models do not take into account more complex individual anatomical variations, which can be objectively quantitated and compared in radiomic analysis. The goal of this project was development of radiomic NTCP model for radiation-induced hypothyroidism (RIHT) using imaging biomarkers (radiomics). We gathered CT images and clinical data from 98 patients, who underwent intensity-modulated radiation therapy (IMRT) for head and neck cancers with a planned total dose of 70.0 Gy (33–35 fractions). During the 28-month (median) follow-up 27 pat
View details →Yuan Lin, Fang Zhou, Xihui Wang et al. · 2023 · PeerJ
Purpose: To investigate the prognostic value of the index of cardio-electrophysiological balance (ICEB) and its association with major adverse cardiac events (MACE) and cardiovascular death in diabetic patients complicated with coronary heart disease. Methods: A total of 920 diabetic patients were enrolled in this longitudinal study. Participants were categorized into three groups based on their ICEB levels: normal ICEB, low ICEB, and high ICEB. The primary outcome was the occurrence of MACE, and secondary outcomes included cardiovascular death, coronary heart disease (CHD), heart failure (HF)
View details →Sven E. Weber, Harmeet Singh Chawla, Lennard Ehrig et al. · 2023 · Frontiers in Plant Science
In modern plant breeding, genomic selection is becoming the gold standard to select superior genotypes in large breeding populations that are only partially phenotyped. Many breeding programs commonly rely on single-nucleotide polymorphism (SNP) markers to capture genome-wide data for selection candidates. For this purpose, SNP arrays with moderate to high marker density represent a robust and cost-effective tool to generate reproducible, easy-to-handle, high-throughput genotype data from large-scale breeding populations. However, SNP arrays are prone to technical errors that lead to failed al
View details →Hailey Miller, Sandy Askew, Miriam B. Berger et al. · 2024 · Hypertension
BACKGROUND: Dietary Approaches to Stop Hypertension (DASH) is a recommended first-line treatment for adults with hypertension, yet adherence to DASH is low. To evaluate the efficacy of a digital health intervention (DHI), compared with…
View details →Simone Conti, Edmond Y. Lau, Victor Ovchinnikov · 2022 · Antibodies
The accurate and efficient calculation of protein-protein binding affinities is an essential component in antibody and antigen design and optimization, and in computer modeling of antibody affinity maturation. Such calculations remain challenging despite advances in computer hardware and algorithms, primarily because proteins are flexible molecules, and thus, require explicit or implicit incorporation of multiple conformational states into the computational procedure. The astronomical size of the amino acid sequence space further compounds the challenge by requiring predictions to be computed
View details →William R. Cleek, Nicholas J. Johnson, Bjorn Watsjold et al. · 2019 · Shock
STUDY OBJECTIVE: The quick sequential organ failure assessment (qSOFA) was proposed to identify infected patients at risk for mortality, an indication of sepsis, in nonintensive care unit settings. This study tests whether qSOFA improves…
View details →Mohammed Abdallah, Ke Zhang, Lijun Chao et al. · 2024 · Hydrology and earth system sciences
Abstract. Precipitation is a vital key element in various studies of hydrology, flood prediction, drought monitoring, and water resource management. The main challenge in conducting studies over remote regions with rugged topography is that weather stations are usually scarce and unevenly distributed. However, open-source satellite-based precipitation products (SPPs) with a suitable resolution provide alternative options in these data-scarce regions, which are typically associated with high uncertainty. To reduce the uncertainty of individual satellite products, we have proposed a D-vine copul
View details →Janet Quint, Pei Zhu, Rekha Balu et al. · 2015 · SSRN Electronic Journal
Success for All (SFA) combines a challenging elementary reading program, whole-school reform elements, and an emphasis on continuous improvement. In 2010, the Success for All Foundation (SFAF) received a scale-up grant under the U.S.…
View details →Shira Fanti‐Oren, Daphna Birenbaum‐Carmeli, Dan Nemet et al. · 2019 · Acta Paediatrica
Abstract Aim The aim of the study was to examine the effect of information placebo on fitness test results in normal weight, overweight and obese children. Methods Twenty‐four pre‐pubertal children with overweight or obesity and 24 age and…
View details →Joon Hee Kang, Seon-Hyeong Lee, Jae-Seon Lee et al. · 2020 · Cells
More than 50% of human cancers harbor TP53 mutations and increased expression of Mouse double minute 2 homolog (MDM2), which contribute to cancer progression and drug resistance. Renal cell carcinoma (RCC) has an unusually high incidence…
View details →Claus Thorn Ekstrøm, Bendix Carstensen · 2024 · The International Journal of Biostatistics
Abstract Agreement between methods for quantitative measurements are typically assessed by computing limits of agreement between pairs of methods and/or by illustration through Bland–Altman plots. We consider the situation where the…
View details →Ellen J. Serafini · 2019 · Language Teaching
Abstract Research conducted over the past 15–20 years has revealed significant insights into the nature and role of learner selves in language learning settings, particularly the importance of considering the interaction between situated…
View details →Andrea Asperti, Franky George, Tiberio Marras et al. · 2025 · Big Data and Cognitive Computing
In recent years, advancements in generative artificial intelligence have led to the development of sophisticated tools capable of mimicking diverse artistic styles, opening new possibilities for digital creativity and artistic expression.…
View details →Jonas J. Astrin, Peter E. Stüben · 2010 · Invertebrate Systematics
A molecular phylogeny for the western Palaearctic weevil genus Echinodera Wollaston, 1863 and the former genus Ruteria Roudier, 1954 is presented, combining two mitochondrial genes (CO1 and 16S) in a Bayesian analysis. Special…
View details →Seyed-Mohammad Fereshtehnejad, Johan Lökk, Anders Wimo et al. · 2018 · Journal of Parkinson’s Disease
Background: Whether dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD) are distinct disorders or two subtypes of the same entity, is not yet fully understood. There is a dearth of knowledge on differences in…
View details →Xiao-yan Xu, Xiao-cui Nie, Hai-ying Ma et al. · 2014 · Technology in Cancer Research & Treatment
Flow cytometry method (FCM) is a generally accepted tool to analyze apoptosis. Although apoptosis assay kit was applied by many companies, the manufacturers were not consistent with whether using Trypsin with EDTA to collect the adherent…
View details →S. H. Suyu, Ana Acebrón, C. Grillo et al. · 2026 · Astronomy and Astrophysics
Robust mass modeling of strong-lensing galaxy clusters is crucial for studying cosmology and galaxy evolution. We present and compare seven mass models of the galaxy cluster MACS J0138−2155, constructed using six independent modeling software programs, including parametric and free-form approaches. By conducting a blind analysis where all the mass-modeling teams constructed their models independently without exchanging results, we quantified uncertainties arising from modeling software and assumptions. MACS J0138−2155 is unique as the only cluster found to strongly lens two supernovae (SNe), R
View details →L E Mayorga, Arnau Noguera Segura, Laura Campderros et al. · 2026 · Gut
BACKGROUND: Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways involved, and their differences…
View details →Byong Duk Ye, Hyo Jong Kim, Dongil Park et al. · 2026 · Journal of Gastroenterology and Hepatology
BACKGROUND AND AIM: The incidence of ulcerative colitis (UC) has been increasing in Asia. Comprehensive data on the long-term course of moderate-to-severe UC remain scarce. This study investigated the clinical outcomes and factors…
View details →Jeremy M. Shefner, Merit Cudkowicz, Angela L. Genge et al. · 2025 · JAMA Neurology
Importance: Treatment options for amyotrophic lateral sclerosis (ALS) remain suboptimal. Results from a phase 2 study of reldesemtiv in ALS suggested that it may slow disease progression. Objective: To assess the effect of reldesemtiv vs…
View details →Elena Krugliakova, Friederike Breuer, Nico Adelhöfer et al. · 2025 · Physiological Reviews
Sleep is essentially contributing to human health and well-being through multiple biological functions, including restoration and biosynthesis, brain clearance, energy metabolism, immunological and endocrine processing, synaptic…
View details →Jingyi Xu, Zhanming Wu, Yunan Tan et al. · 2026 · Journal of Advanced Ceramics
Abstract The escalating complexity of the electromagnetic environment calls for advanced electromagnetic wave (EMW) absorption materials capable of efficient multi-frequency attenuation. Silicon carbide (SiC) is a promising dielectric candidate but is hindered by intrinsic impedance mismatch and limited polarization loss. Herein, we report a novel ternary heterostructure absorber consisting of SiC nanowires synergistically coupled with dual rare-earth silicides (Ce5Si4 and Pr5Si4) fabricated via a combined magnesiothermic and carbothermal reduction process using an MFI-type zeolite precursor.
View details →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 →Tom Solomon, Cory Hooper, Ava Easton et al. · 2026 · The Lancet Neurology
BACKGROUND: Herpes simplex virus (HSV) encephalitis is characterised by inflammation and swelling of the brain, resulting in death or severe neurocognitive sequelae. HSV encephalitis is treated with the antiviral aciclovir but still has substantial mortality and morbidity. Adjunct corticosteroids are sometimes used, but whether they improve the outcome is unclear. We aimed to establish the safety and efficacy of adjunct corticosteroids in HSV encephalitis. METHODS: In this multicentre, observer-blind, randomised, phase 3 trial, adults with HSV encephalitis admitted to 53 hospitals in the UK we
View details →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
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