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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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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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. Validation of the method was done with the International Council for Harmonization, ICH Q2(R2) Guidelines. …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples by Deyan Yordanov Yosifov, Christof Schneider, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch

“…We provide an R function for automated detection of sample swaps and mislabelling to the community as a free and open-source tool.…”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Abstract Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. …”
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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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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

“…Thus, according to literature sources, the frequency of pathology in patients under 20 years of age reaches 10% in the population and less than 2% in children under 10 years of age. …”
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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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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…Abstract Directed greybox fuzzing (DGF) has proven effective in vulnerability discovery, but most efforts focus on the Linux platform, with substantially less attention devoted to Windows platform due to its closed-source and GUI software nature. This paper proposes WinDGF, a novel directed greybox fuzzer for Windows applications that addresses challenges including target function localization in persistent testing, GUI bypassing, and fitness metric calculation. …”
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JWST/NIRCam Narrowband Survey of Paβ Emitters in the Spiderweb Protocluster at z = 2.16 by Rhythm Shimakawa, J. M. Pérez-Martínez, Helmut Dannerbauer, Yusei Koyama, Tadayuki Kodama, Pablo G. Pérez-González, Chiara D’Eugenio, Yuheng Zhang, Abdurrahman Naufal, Kazuki Daikuhara

“…The weight-corrected color–magnitude diagram obtained 57 sources showing narrowband excesses, 41 of which satisfy further color selection criteria for limiting the sample to Pa β emitter candidates at z ∼ 2.16, and 24 of them do not have H α emitter counterparts. …”
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Egyptian pediatric kidney transplantation: highlights on post-transplant follow-up and management of complications by the Egyptian Pediatric Clinical Practice Guidelines Committee... by Bahia Moustafa, Neveen A. Soliman, Ihab Shaheen, Ahmed Badr, Fatma M. Atia, Mohamed K. El Hatw, Engy Adel Mogahed, Mona EL-Ghamrawy, Khaled El Khashab, Noha Shaheen, Mohamad G. Shouman, Abeer Selim, Magdy El-Sharkawy, Tarek Abd El Azeem, Mohamad Esmat, Manal Salman, Bedeir Ali-El-Dein, Mona Abdel Rahim, Muhamed A. El-Hadedy, Moatasem Elsayed Ghoneim, Mai S. Korkor, Tarek E. I. Omar, Yasser Amer, Ashraf Abdel Baky, On Behalf of Egyptian Pediatric Clinical Practice Guideline Committee

“…Infections, rejection, recurrence, malignancy, bone problems, hypertension, and surgical complications are the most important challenges that require prevention, early detection, and management. Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. …”
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Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

“…By constructing a coupling analysis framework of toponym semantics and spatial attributes, this research confirms the “spatio-temporal code” function of toponym in the process reconstruction of human settlements, and the capability to analyze multi-source heterogeneous data based on the aforesaid function provides a new analytical methodology for the research on watershed human settlements. …”
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SIMPLE: Simple Intensity Map Producer for Line Emission by Maja Lujan Niemeyer, José Luis Bernal, Eiichiro Komatsu

“…After applying a selection function to distinguish between detected and undetected galaxies, the code generates an intensity map, which can be modified with anisotropic smoothing, noise, a mask, and sky subtraction, and it calculates the power spectrum multipoles. …”
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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…Additionally, the MATLAB ROI function was used to select the irregular representative loquat flesh browning areas, extract the color feature value, and complete the browning area segmentation of the original image by using the Euclidean distance. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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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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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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