A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Notably, we find no overlap between our sample and optical periodic sources, which can be explained by a distinct preference for certain periods due to selection bias. …”
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Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design by Eleanor Mill, Wolfgang Garn, Chris Turner

“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…A simple, fast, green, and sensitive method for determining Bisphenol A (BPA) levels in commercial milk was developed using a solventless sample preparation technique known as stir bar sorptive extraction, coupled with thermal desorption–gas chromatography/mass spectrometry. BPA was selected due to its ubiquitous presence in the environment and its classification as an endocrine-disrupting chemical of concern (i.e., its ability to mimic hormone functions). …”
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Exploring the Role of Teaching Aids in Enhancing Physical Education for Schoolchildren: A Literature Review by Yurij Vaskov

“…The search criteria used specific keywords related to the topic, and a total of 38 sources were selected for analysis. Results. The study reveals the various approaches to defining teaching aids and their functions in physical education, as well as their sources of selection. …”
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Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

“…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. …”
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Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

“…VTE is common and potentially life-threatening in patients admitted to ICU, even in spite of preventive care.The purpose of the review is to justify the necessity of preventive care for venous thromboembolism in ICU patients.From over 300 initially selected sources of literature databases (Scopus, Web of science, RSCI, etc.), 99 sources were chosen including 69 that were published during the last five years (2015-2020). …”
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A new fluorescent probe based on BODIPY for testing NO2 released from propellants by Ying-cui Cui, De-bin Xia, Zhong-yu Cui, Yu-jing Li, Jian Zhang, Ping Wang, Ting Guo, Kai-feng Lin, Yu-lin Yang

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Evaluation of Adulticidal Clorine with Black Sand, White Sand and Silica Sand for Decline Coliform Bacteria by Rezania Asyfiradayati, Eni Budiyati, Mitoriana Porusia, Muhammad Rivandi Athaya, Afnan Zain Muzakki, Jenita Berlian Nindyasari, Siti Rohana Mohd Yatim

“…This finding suggests that material selection significantly influences the functional performance of chlorine-based water disinfection systems.…”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

“…We assessed risk of bias from participant selection, methods of measuring health literacy and functional outcomes, missing data, and potential for confounding.…”
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Distinct requirements for cranial ectoderm and mesenchyme-derived wnts in specification and differentiation of osteoblast and dermal progenitors. by L Henry Goodnough, Gregg J Dinuoscio, James W Ferguson, Trevor Williams, Richard A Lang, Radhika P Atit

“…Thus two sources of Wnt ligands perform distinct functions during osteoblast and dermal fibroblast formation.…”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…The construction method of the dataset involves collecting variant character sets from authoritative sources, filtering out duplicates and non-target sets, and selecting representative character by applying prioritization principles. …”
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Potential for non‐destructive astrochemistry using the ExoMars PanCam by Michael C. Storrie‐Lombardi, J.‐P. Muller, M. R. Fisk, A. D. Griffiths, A. J. Coates

“…This non‐destructive triage allows prioritized deployment of organic detection experiments requiring sample destruction and/or expenditure of non‐replaceable resources. …”
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Genetic diversity in wild species and cultivars of strawberry for the <i>FanAAMT</i> gene controlling fruit flavor volatiles by A. S. Lyzhin, I. V. Luk’yanchuk

“…‘Karmen’, ‘Ostara’, ‘Samson’, ‘Symphony’, ‘Troubadour’ and ‘Vima Tarda’, in which the functional allele of the FanAAMT gene was found. In the remaining studied strawberry genotypes the marker FanAAMT was not detected, which presumably indicates that the FanAAMT gene is absent. cells (R9.4.1).…”
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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Modern Concepts of Clinical and Diagnostic Criteria for Premature Ovarian Failure (Literature Review) by M. D. Salimova, Ya. G. Nadelyaeva, I. N. Danusevich

“…An information search was carried out using Internet resources (PubMed, Web of Science, eLibrary.Ru), literary sources for the period 2015–2019 were analyzed. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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