Information-entropy approach to the analysis of genetic diversity of populations (analytical review) by V. M. Kuznetsov

“…The Shannon information index for the combined breed samples was 1.695, the weighted average for the samples was 1.325, the inter-sample component (SHAP) was 0.370 nits or 21.8 % (all calculations according to GenAlEx 6.502). …”
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Single-cell RNA-seq analysis of cancer-endothelial cell interactions in primary tumor and peritoneal metastasis from a single patient with colorectal cancer by Yuri Sakimoto, Kohei Kumegawa, Shimpei Matsui, Tomohiro Yamaguchi, Toshiki Mukai, Koji Okabayashi, Seiichi Mori, Yuko Kitagawa, Takashi Akiyoshi, Reo Maruyama

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Emotional Maturity, Religious Tolerance and Religiosity Within Millennial Generation by Fitri Sukmawati, Ema Zati Baroroh, Nindya Juwita, Kiki Amalia, Yussri Sawani

“…It is based on a quantitative approach with a type of causality research project. There were 182 samples in this study. The research results show that the Pontianak City millennial generation is in a high category in terms of emotional maturity, religiosity and religious tolerance. …”
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Observations, Evaluations, and Recommendations for DETERLab from an Educational Perspective by Ahmed Ibrahim, Vitaly Ford

“…We also include an analysis of experiments that have a step-by-step guide, sample solution, grading criteria, network diagram, and teacher manual. …”
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Slavonic-greek-latin Academy in Moscow and its reforms from the 2d quarter of the XVIIIth c. up to the beginning of the XIXth c. in the context of evolution of the high education i... by Larionov Aleksei

“…Another tendency is also observed - the penetration of European university modernization ideas in Russia provokes the start of several national university projects. During the Catherine’s the Second reign these ideas influence on the evolution of the Academy as well as already generated Academy educational tradition influences the specified university projects. …”
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A case study of education outreach coordinators in universities in Australia and New Zealand by Akiko Mori

“…The thematic analysis suggested that coordinators are proactively and centrally involved in various processes, such as relationship building, project development, oversight, evaluation, and personnel development. …”
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Emotional intelligence and ethical behaviour in mining executives: the mediating effect of trust-building by Edwin Augusto Bashi López, Rubén Guevara Moncada

“…Partial least squares structural equation modelling (PLS-SEM) was used with a sample of 115 executives at Peru’s largest mining projects, finding that trust-building has a partial mediating effect on the relationship between emotional intelligence and ethical behaviour. …”
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Biosample collection in a biobank to solve problems of personalized medicine by O. V. Kopylova, A. I. Ershova, A. N. Meshkov, M. S. Pokrovskaya, I. A. Efimova, A. S. Limonova, A. V. Blokhina, Z. Z. Serebryanskaya, S. A. Smetnev, V. I. Mikhailina, R. P. Myasnikov, A. V. Kiseleva, E. V. Garbuzova, V. A. Metelskaya, A. L. Borisova, O. M. Drapkina

“…The article presents the project results as of August 12, 2024.Results. An expert group developed 15 disease groups and related inclusion criteria. …”
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SurfILE: An Open-Source Python Package for Surface Topography Analysis by Andrea Giura, Massimo Zucco, Luigi Ribotta

“…In this field, the characterization of the dimensional, morphological, and texture parameters of samples as well as the assessment of metrological characteristics of measuring instruments are key issues. …”
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Investigation of Antibiotic Resistance of <i>E. coli</i> Associated with Farm Animal Feces with Participation of Citizen Scientists by Anna M. Timofeeva, Maria R. Galyamova, Dmitriy M. Krivosheev, Sergey Yu. Karabanov, Sergey E. Sedykh

“…Citizen scientists, specifically students from colleges and universities, were responsible for the collection and initial analysis of samples. The project attracted 3096 student participants, enabling the collection and analysis of a significant number of samples from various locations in Russia.…”
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Characterization of airborne bacterial diversity in conventional hen houses, enriched colonies and aviaries, and link between possible bioaerosol sources by M.-W. St-Germain, M. Veillette, V. Létourneau, A.D. Larios Martínez, S. Godbout, M. Boulianne, C. Duchaine

“…Results: Specific richness (Sobs) and CHAO1 indexes were higher in air samples from conventional hen houses and enriched colonies, compared to their corresponding fecal or litter samples, which was not the case for aviaries samples. …”
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Dynamic Modulus and Field Performance of Cold-in-Place Recycled Asphalt Pavement by Islam M. R., Kalevela S. A., Rivera J. A., Rashid T. B.

“…Sites from ten projects were selected to monitor the performances and collect samples for laboratory testing. …”
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Linking LEDGF/p75 Overexpression With Microsatellite Instability and KRAS Mutations: A Small-Scale Study in Colorectal Cancer by Victoria Liedtke, Thomas Wartmann, Wenjie Shi, Ulf D. Kahlert

“…Methods This study analyzed the expression of LEDGF/p75 and the ubiquitin E2 conjugating enzyme UBC13 in 15 CRC tissue samples and adjacent non-tumor tissues. All patient samples underwent NGS-based mutation analysis beforehand. …”
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Novel single-cell preservation and RNA sequencing technology unlocks field studies for Plasmodium natural infections by Erin Sauve, Pieter Monsieurs, Pieter Guetens, Roberto Rudge de Moraes Barros, Anna Rosanas-Urgell

“…All 6 samples produced reproducible circular UMAP projections with consistent cluster localization and high gene expression correlation, regardless of the sample preparation method. …”
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Burnout in agile software development by Zdeněk Vafek

“…The research was conducted on a sample of nine developers working in the IT sector, who were divided into two groups according to project management methods – the agile Scrum methodology and the traditional waterfall approach. …”
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Accounting for observation biases associated with counts of young when estimating fecundity: case study on the arboreal-nesting red kite (Milvus milvus) by Sollmann, Rahel, Adenot, Nathalie, Spakovszky, Peter, Windt, Jendrik, Mattsson, Brady J.

“…But the model could not estimate parameters when true states were missing from the paired data, which happened frequently in small sample sizes (n = 10 or 25). Further, we projected populations 50 years into the future using fecundity estimates corrected for observation biases from the multinomial model, and based on “raw” uncertain observations. …”
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Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility by Galo Gallardo Romero, Guillermo Rodríguez-Llorente, Lucas Magariños Rodríguez, Rodrigo Morant Navascués, Nikita Khvatkin Petrovsky, Rubén Lorenzo Ortega, Roberto Gómez-Espinosa Martín

“…To tackle this issue, the IFMIF-DONES project aims to build a facility capable of generating a neutron source in order to irradiate different material samples. …”
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Sedimentary Environment Analysis by Grain-Size Data Based on Mini Batch K-Means Algorithm by Qiao Su, Yanhui Zhu, Yalin Jia, Ping Li, Fang Hu, Xingyong Xu

“…In this paper, we will apply bipartite graph theory to construct a Sample/Grain-Size network model and then construct a Sample network model projected from this bipartite network. …”
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Development of the DONOR prediction model on the risk of hypertensive complications in oocyte donation pregnancy: study protocol for a multicentre cohort study in the Netherlands by Saskia le Cessie, Géraldine C M Lafeber, Vera H W Van der Endt, Yvonne Louwers, Marie-Louise P van der Hoorn, Eileen E L O Lashley

“…Prediction of patient-specific risk factors for hypertensive complications in OD can provide the basis for this. The current project aims to establish the first prediction model on the risk of hypertensive complications in OD pregnancy.Methods and analysis The present study is conducted within the DONation of Oocytes in Reproduction project. …”
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Relieve Adversarial Attacks Based on Multimodal Training by Lai Hongjie

“…Adversarial training is an effective defense mechanism that incorporates adversarial samples into the training data, enabling models to better detect and resist attacks. …”
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