Accurate Measurement of Cell Number–Normalized Differential Gene Expression in Cells Treated With Retinoic Acid by Nina Weichert-Leahey, Mark Zimmerman, Alla Berezovskaya, A. Look, Brian Abraham

“…The subsequent analysis of global RNA expression and normalization of RNA expression levels between two or more samples generally assumes that cells from all samples produce equivalent amounts of RNA per cell. …”
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A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data by Dan Li, Peicong Song, Jia Wang

“…Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification. …”
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Establishment of a patient-derived 3D in vitro meningioma model in xeno-free hydrogel for clinical applications by Mikkel Schou Andersen, Aaraby Yoheswaran Nielsen, Martin Wirenfeldt, Jeanette Krogh Petersen, Morten Winkler Møller, Christopher L. Powell, Anavaleria Castro, Grayson Herrgott, Tiit Mathiesen, Charlotte Aaberg Poulsen, Birgitte Brinkmann Olsen, Henning Bünsow Boldt, Christian Bonde Pedersen, Bo Halle, Frantz Rom Poulsen

“…Three-dimensional (3D) models offer an alternative through more precise mimicking of tumor morphology and physiology than 2D models and are less costly than in vivo methods. …”
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Association of men’s contraceptive knowledge, attitude and behavior with modern contraceptive use: evidence from Nepal demographic health survey 2022 by Vijaya Laxmi Shrestha, Kamala Devi Lamichhane, Sharadha Hamal, Nanda Lal Sapkota, Krishna Man Shrestha

“…This study aims to examine the association of men’s contraceptive knowledge, attitudes, and behaviors (KAB) with the use of modern contraceptives. Methods This study utilized data from the Nepal Demographic and Health Survey 2022, which included a total weighted sample of 2,649 married men aged 15–49 years. …”
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Spatial transcriptomic and morpho-functional information derived from single mouse FFPE slides allows in-depth fingerprinting of lung fibrosis by Erica Ferrini, Costanza Bonfini, Giovanna Marchese, Martina Buccardi, Matteo Zoboli, Primetta Faccioli, Nicola Sverzellati, Gino Villetti, Simone Ottonello, Maria Ravo, Franco F. Stellari

“…This approach is thus instrumental to a better characterization of the molecular changes associated to each sample. It can also contribute to a more informed interpretation of histology and micro-CT imaging data, paving the way to the identification of translationally relevant biomarkers as well as novel candidate targets for the development of more effective therapeutic interventions.…”
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Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images by Saqib Qamar, Dmitry Malyshev, Rasmus Öberg, Daniel P. G. Nilsson, Magnus Andersson

“…Abstract Analyzing microscopy images of large growing cell samples using traditional methods is a complex and time-consuming process. …”
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Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem by Alaa Wagih Abdulqader, Sura Mazin Ali

“…Several research papers dealt with methods of solving this issue, including forms of intelligence of the swarms. …”
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Review of microRNA detection workflows from liquid biopsy for disease diagnostics by Dulguunnaran Naranbat, Emilia Herdes, Nikos Tapinos, Anubhav Tripathi

“…This review comprehensively analyses distinct liquid biopsy microRNA detection methods validated with clinical samples. Each step in the microRNA detection workflow, including sample collection, RNA isolation, processing, and detection of target microRNAs, has been thoroughly assessed. …”
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Identification of therapeutic target genes for age-related hearing loss through systematic genome-wide mendelian randomization of druggable genes by Kun Zhang, Bo Hou, Tao Yan, Ruru Qiao, Peng Qu, Xinbo Xu, Hanbing Zhang

“…Therefore, we performed a systematic genome-wide MR of drug-eligible individuals to explore potential therapeutic targets for ARHL. Methods: We obtained data on the expression quantitative trait locis (eQTLs) of druggable genes, which were then subjected to two-sample MR analyses and co-localisation analyses with data from the ARHL genome-wide association study to identify genes highly associated with ARHL. …”
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Do we need a standardized 16S rRNA gene amplicon sequencing analysis protocol for poultry microbiota research? by Joshua M. Lyte, Mitiku M. Seyoum, Diana Ayala, Jannigje G. Kers, Valentina Caputi, Timothy Johnson, Li Zhang, Joshua Rehberger, Guolong Zhang, Sami Dridi, Brett Hale, Jean E. De Oliveira, Daniel Grum, Alexandra H. Smith, Michael Kogut, Steven C. Ricke, Anne Ballou, Bill Potter, Monika Proszkowiec-Weglarz

“…This manuscript reviews current practices in profiling poultry microbiota using 16S rRNA gene amplicon sequencing and proposes the development of guidelines for protocol for 16S rRNA gene sequencing that spans from sample collection through data deposition to achieve more reliable data comparisons across studies and allow for comparisons and/or interpretations of poultry studies conducted worldwide.…”
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26Al/10Be burial dating of Xujiayao-Houjiayao site in Nihewan Basin, northern China. by Hua Tu, Guanjun Shen, Haixu Li, Fei Xie, Darryl E Granger

“…Based on biostratigraphical correlation and exploratory results from a variety of dating methods, the site has been widely accepted as early Upper Pleistocene in time. …”
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DIGITAL DEVICES FOR GRAIN CLASSIFICATION: EFFICIENCY AND ACCURACY IN THE FOOD INDUSTRY by Greice Neitzel, Rogério Carpes, Rita de C. M. Monteiro, Gizele I. Gadotti

“…ABSTRACT The grain classification process, essential in the industry, has traditionally relied on manual methods that are prone to inaccuracies and delays. …”
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Meta competency, prerequisites improving the postgraduate psychiatric nursing students’ clinical competency: a qualitative study by Effat Sheikhbahaeddinzadeh, Tahereh Ashktorab, Abbas Ebadi

“…By identifying the influential factors, education will be more effective. One of the necessary prerequisites is meta-competency. …”
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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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Premature Calcifications of Costal Cartilages: A New Perspective by Walter Rhomberg, Antonius Schuster

“…The knowledge of the clinical significance of early and extensive calcifications is still incomplete. Materials and Methods. A search was made to find patients below the age of 30 years who showed distinct calcifications of their lower costal cartilages by viewing 360 random samples of intravenous pyelograms and abdominal plain films. …”
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JEMAAH MAHASISWA SALAFI DI MASJID POGUNG YOGYAKARTA by Arbi Mulya Sirait

“…To get the data in this paper, the writer uses interview, questionnaire and observation methods. The total sample in this study amounted to twenty-seven salafi students. …”
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The Effect of Learning Styles and Motivation on Students’ Vocabulary Acquisition: The Case of Second Year LMD Students of English at the University of Constantine1 by Hadjer BELLOUT

“…Some pedagogical suggestions are made for a more effective way to learn vocabulary and help teachers in their teaching through creating a motivating environment and matching their teaching methods with their learners’ styles.…”
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Specifics of Student Youth's Social Perception of Mass Media by Zhizhina M. V.

“…This study was done on opinions of students of Saratov State National Research University, involving the sample number of 1,020 people aged 17-23. The empirical material has been collected using the methods of verbal experiment and unfinished sentences. …”
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Hereditary spastic paraplegia: a clinical and epidemiological study of a Brazilian pediatric population by Roberta Paiva Magalhães Ortega, Sérgio Rosemberg

“…ABSTRACT Aims: To investigate hereditary spastic paraplegia (HSP) in a pediatric Brazilian sample. Methods: Epidemiological, clinical, radiological and laboratory data were analyzed in 35 patients. …”
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Differences in Anthropometric Characteristics between Junior Handball and Volleyball Players by Bojan Masanovic, Velisa Vukasevic

“…Therefore, these findings may give coaches from the region better working knowledge and suggest to them to follow recent selection process methods and to be more careful during the process of talent identification.…”
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