Negative / Null Result ReportOpen accessNeuroscience
Amanda Zieselman, Jonathan Fisher, Ting Hu et al. · 2014 · BioData Mining
BACKGROUND: Alzheimer's disease is the most common form of progressive dementia and there is currently no known cure. The cause of onset is not fully understood but genetic factors are expected to play a significant role. We present here a bioinformatics approach to the genetic analysis of grey matter density as an endophenotype for late onset Alzheimer's disease. Our approach combines machine learning analysis of gene-gene interactions with large-scale functional genomics data for assessing biological relationships. RESULTS: We found a statistically significant synergistic interaction among t
View details →DOI: 10.1186/1756-0381-7-17Cited by 9 Negative / Null Result ReportMedicine
Mojun Zhu, Brian A. Costello, Jun Yin et al. · 2021 · Pancreas
OBJECTIVES: Systemic therapies for pancreatic neuroendocrine tumors (PNETs) are limited. The combination of bevacizumab and temsirolimus showed significant antitumor activity, but the single-agent activity of bevacizumab was unknown. We…
View details →DOI: 10.1097/mpa.0000000000001950Cited by 9 Negative / Null Result ReportSocial Sciences
Won Fy Lee, Clea McNeely, Janet E. Rosenbaum et al. · 2020 · Journal of Research on Educational Effectiveness
We examined the effect on attendance of a truancy court-diversion program for elementary students. Truancy court-diversion programs represent a shift from a law-and-order approach toward a public health model to address school absenteeism.…
View details →DOI: 10.1080/19345747.2020.1760976Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Pamela J. Kaisaki, Georg Otto, Karène Argoud et al. · 2016 · G3 Genes Genomes Genetics
Abstract To test the impact of genetic heterogeneity on cis- and trans-mediated mechanisms of gene expression regulation, we profiled the transcriptome of adipose tissue in 20 inbred congenic strains derived from diabetic Goto–Kakizaki (GK) rats and Brown–Norway (BN) controls, which contain well-defined blocks (1–183 Mb) of genetic polymorphisms, and in 123 genetically heterogeneous rats of an (GK × BN)F2 offspring. Within each congenic we identified 73–1351 differentially expressed genes (DEGs), only 7.7% of which mapped within the congenic blocks, and which may be regulated in cis. The remai
View details →DOI: 10.1534/g3.116.033274Cited by 9 Negative / Null Result Report
A. Archidona-Yuste, I. Clavero-Camacho, A. N. Ruiz-Cuenca et al. · 2024 · Zoological Letters
Abstract The ring nematode genus Xenocriconemella De Grisse and Loof, 1965 comprises only one nominal species, Xenocriconemella macrodora (Taylor, 1936) De Grisse and Loof, 1965. The initial objective of the present study was to…
View details →DOI: 10.1186/s40851-024-00230-3Cited by 9 Negative / Null Result ReportPsychology
Kory Floyd, Nathan T. Woo · 2020 · Personal Relationships
Abstract Contrary to the claim that loneliness routinely impairs the decoding of social cues such as emotion displays, Knowles, Lucas, Baumeister, and Gardner (2015) proposed that lonely adults “choke under pressure,” experiencing…
View details →DOI: 10.1111/pere.12304Cited by 9 Negative / Null Result ReportBiochemistry, Genetics and Molecular Biology
Andrew J. Steward, Daniel J. Kelly, Diane R. Wagner · 2016 · Tissue Engineering Part A
Although hydrostatic pressure (HP) is known to regulate chondrogenic differentiation of mesenchymal stromal/stem cells (MSCs), improved insight into the mechanotransduction of HP may form the basis for novel tissue engineering strategies.…
View details →DOI: 10.1089/ten.tea.2015.0047Cited by 9 Negative / Null Result ReportOpen accessSocial Sciences
Lewend Mayiwar, Linda Lai · 2019 · Social Psychology
Abstract. We performed an independent, direct, and better powered ( N = 295) replication of Study 1, an experiment ( N = 113) by Lammers, Stoker, and Stapel (2009) . Lammers and colleagues distinguished between social power (influence over…
View details →DOI: 10.1027/1864-9335/a000388Cited by 9 Negative / Null Result ReportOpen accessMedicine
Hisayuki Katsuyama, Hidekatsu Yanai, Hiroki Adachi et al. · 2023 · Gastroenterology Research
Background: We previously reported that the selective peroxisome proliferator-activated receptor alpha modulator, pemafibrate, significantly reduced serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and…
View details →DOI: 10.14740/gr1656Cited by 9 Negative / Null Result ReportOpen accessMedicine
Shailesh D. Pawar, Sadhana S. Kode, Sachin S. Keng et al. · 2022 · The Indian Journal of Medical Research
Background & objectives Polio, measles, rubella, influenza and rotavirus surveillance programmes are of great public health importance globally. Virus isolation using cell culture is an integral part of such programmes. Possibility of…
View details →DOI: 10.4103/ijmr.ijmr_1448_21Cited by 9 Negative / Null Result ReportOpen accessNeuroscience
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 →DOI: 10.1093/cercor/bhab088Cited by 9 Negative / Null Result ReportOpen accessMedicine
Amira Soliman, Björn Agvall, Kobra Etminani et al. · 2023 · Journal of Medical Internet Research
BACKGROUND: Sensitive and interpretable machine learning (ML) models can provide valuable assistance to clinicians in managing patients with heart failure (HF) at discharge by identifying individual factors associated with a high risk of readmission. In this cohort study, we delve into the factors driving the potential utility of classification models as decision support tools for predicting readmissions in patients with HF. OBJECTIVE: The primary objective of this study is to assess the trade-off between using deep learning (DL) and traditional ML models to identify the risk of 100-day readmi
View details →DOI: 10.2196/46934Cited by 9 Negative / Null Result ReportMedicine
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 →DOI: 10.1097/shk.0000000000001496Cited by 9 Negative / Null Result ReportOpen accessMedicine
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 →DOI: 10.3390/antib11030051Cited by 9 Negative / Null Result ReportOpen accessHealth Professions
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 →DOI: 10.1161/hypertensionaha.124.23887Cited by 9 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
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 →DOI: 10.3389/fpls.2023.1221750Cited by 9 Negative / Null Result Report
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 →DOI: 10.7785/tcrt.2012.500406Cited by 9 Negative / Null Result ReportOpen accessMedicine
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 →DOI: 10.7717/peerj.15969Cited by 9 Negative / Null Result ReportOpen accessMedicine
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 →DOI: 10.3390/cancers13215584Cited by 9 Negative / Null Result ReportOpen accessComputer Science
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 →DOI: 10.1109/access.2025.3535226Cited by 9 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
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,…
Negative / Null Result ReportOpen accessEarth and Planetary Sciences
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 →DOI: 10.5194/hess-28-1147-2024Cited by 9 Negative / Null Result Report
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 →DOI: 10.3233/jpd-181367Cited by 9 Negative / Null Result ReportOpen accessMedicine
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 →DOI: 10.3390/cancers16071321Cited by 9 Negative / Null Result Report
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 →DOI: 10.1071/is10021Cited by 9 Negative / Null Result ReportPsychology
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 →DOI: 10.1080/00913367.2020.1799268Cited by 9 Negative / Null Result Report
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 →DOI: 10.3390/bdcc9090231Cited by 9 Negative / Null Result Report
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 →DOI: 10.1017/s0261444819000144Cited by 9 Negative / Null Result ReportMedicine
Maryam Karimi, Mazaher Khodabandehloo, Bahram Nikkhoo et al. · 2016 · PubMed
Background and Objective: Any role of human papillomavirus (HPV) in the development of breast cancer is conjectural. The aim of this study was to investigate possible links between HPV and breast cancer in women, Sanandaj, Iran. Methods:…
View details →DOI: 10.22034/apjcp.2016.17.10.4741Cited by 9 Negative / Null Result Report
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 →DOI: 10.1515/ijb-2023-0037Cited by 9 