Metagenomic analysis reveals rumen microbiome enrichment and functional genes adjustment in carbohydrate metabolism induced by different sorting behavior in mid-lactation dairy cow... by Abdallah Alaa Mousa, Han Zhang, Hongwei Duan, Jiyou Zhang, Shengyong Mao

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Social security in flexible forms of employment on the example of Poland - selected problems by Łucja Kobroń-Gąsiorowska

“… The foundation of decent working conditions is the regulation of employment and social policy with safe and secure conditions of employment in terms of remuneration, safe employment conditions, protection in the event of dismissal, social dialogue, personal data protection, and work-life balance, and finally a healthy, safe and a well-adjusted work environment. At the same time, the task of a democratic state is to adjust the dynamically changing economic and market realities to ensure the maximum level of protection in the areas mentioned above relevant to each employee. …”
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Selection of Employees with Disabilities – Has the Burden on the Employer Become too Heavy? by Edna Rabenu, Aharon Tziner

“…Nevertheless, to a degree, it ‘mistreats’ the employer by not requiring applicants to disclose the accommodations that helped them with their scholastic or selection tests achievements. Thus, the employer is denied the ability to make well-informed, realistic selection decisions, and at the same time – it creates a high potential for job failure. …”
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Research on investment strategy of E-fund Asian Selection QDII Fund by Li Qian, Li Hongqi, Liu Yuxiang, Yan Shihan

“…The paper optimizes E-fund Asian Selection Hong Kong stock investment strategy using the XGBoost machine learning algorithm and multi-factor stock selection theory, determining stock holding based on Hong Kong stock correlation factors.First, the new investment strategy derived from the XGBoost algorithm has better performance in terms of profitability and risk control compared to the original investment strategy.Second, for Hong Kong stocks, technical and valuation factors are more important in multi-factor quantitative stock selection, which can be a reference for QDII fund managers as well as investors when selecting factors.Thirdly, the XGBoost algorithm classifier is also more capable of classifying Hong Kong stocks, which can improve the rationality and accuracy of investment decisions, thus helping investors to better allocate their investment in Hong Kong stocks and achieve excess returns. …”
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OPTIMIZATION OF TKI SELECTION IN CML: BALANCING EFFICACY, SAFETY, AND PATIENT PREFERENCES by Emel İşleyen Kaya

“…In pediatric CML patients, concerns about growth and development arise, and TKI dosing must be adjusted for optimal treatment without affecting growth. …”
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Neural geometry from mixed sensorimotor selectivity for predictive sensorimotor control by Yiheng Zhang, Yun Chen, Tianwei Wang, He Cui

“…We propose that the sensorimotor dynamics can be derived from neuronal mixed sensorimotor selectivity and dynamic interaction between modulations.…”
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Application of Computer Simulation to Evaluate Performance Parameters of the Selective Soldering Process by Maciej Dominik, Marek Kęsek

“…An intuitive operator panel was also developed, allowing users to adjust parameters and monitor outcomes in real time. …”
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Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification by Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

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Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

“…Unlike traditional feature selection methods, our approach adjusts the weights and biases of the trained neural network via a Mixed-Integer Linear Programming (MILP) model to identify the most important features and thereby uncover underlying relationships. …”
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Sybil-Resilient Publisher Selection Mechanism in Blockchain-Based MCS Systems by Ankit Agrawal, Ashutosh Bhatia, Kamlesh Tiwari

“…This article proposes a novel two-phase publisher selection mechanism to mitigate Sybil attacks in BMCS systems. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…This subsequently informs a variable selection step to identify groups of co-ordinated molecular features within and across platforms associated with clinical outcomes of cancer progression, while according appropriate adjustments for multicollinearity and multiplicities. …”
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Selection of a dam site by using AHP and VIKOR: The Sakarya Basin by Kara Dilek Zuhal Elif, Opan Mücahit, Bacaksız Efsun, Hergül Ahmet Serhan

“…Within this context, it is crucial to consider specific criteria such as natural influences and topographic features in the selection of dam sites. This study aims to propose an effective methodology for selecting a site for a new dam in a first-degree earthquake zone, which constitutes the main challenge in the site selection process. …”
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NUTRIENT MEDIUM SELECTION AND OPTIMIZATION OF AVIBACTERIUM PARAGALLINARUM DEEP CULTURE METHOD by M. S. Firsova, V. A. Yevgrafova, A. V. Potekhin

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Selection of alfalfa water and nitrogen management regimes based on the DSSAT model by Mingzi Lv, Delong Tian, Guoshuai Wang, Ting Fan, Weiping Li, Chenli Hou, Jie Zhou, Xianyang Miao

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Selective Serotonin Reuptake Inhibitors and Violent Crime: A Cohort Study. by Yasmina Molero, Paul Lichtenstein, Johan Zetterqvist, Clara Hellner Gumpert, Seena Fazel

“…<h4>Background</h4>Although selective serotonin reuptake inhibitors (SSRIs) are widely prescribed, associations with violence are uncertain.…”
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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

“…Additionally, three environmental selection strategies are designed to correspond to the different tasks in MTGA-CMMO. …”
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Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study by Cam Donaldson, Shankar Prinja, Gaurav Jyani, Yashika Chugh, Kavitha Rajsekar, Sitanshu Sekhar Kar, Mayur Trivedi, Binod Patro, Swati Raman, Sandra Albert, Rachel Mairi Baker

“…In this context, the present study delineates the methods that will be deployed to estimate such a value for India.Methods and analysis The proposed study will deploy a multistage sampling approach considering economic and health status for selection of states, followed by selection of districts based on Multidimensional Poverty Index (MPI) and identification of primary sampling units (PSUs) using the 30-cluster approach. …”
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Comparative analysis of the efficacy of seniprutug (BCD-180) and adalimumab in the treatment of active radiographic axial spondyloarthritis: results of a systematic review and matc... by A. M. Lila, T. V. Dubinina, D.  G. Tolkacheva, K. V. Sapozhnikov, N. A. Sableva, M. A. Morozova, P. S. Pukhtinskaia

“…Based on the results of a previously conducted systematic review, an unanchored matching-adjusted indirect comparison (MAIC) was performed, adjusting for confounding factors. …”
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Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System by Hojjat Salehinejad, Siamak Talebi

“…Route selection in metropolises based on specific desires is a major problem for city travelers as well as a challenging demand of car navigation systems. …”
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Long-term clinical impact of sex disparities in patients with ST elevation acute myocardial infarction: a systematic review and meta-analysis of adjusted observational studies by Massimo Mancone, Ovidio De Filippo, Carmine Dario Vizza, Giulio Stefanini, Riccardo Improta, Gianluca Di Pietro, Gennaro Sardella, Fabrizio D’Ascenzo, Lucia Ilaria Birtolo, Emanuele Bruno

“…Eligibility criteria for selecting studies. We included adjusted observational studies reporting HRs, comparing long-term clinical outcomes (beyond 1 year) between women and men undergoing pPCI for ST-elevation myocardial infarction.Data extraction and synthesis Two independent reviewers extracted data and assessed risk of bias using the ROBINS I (Risk Of Bias In Non-randomised Studies - of Interventions) tool. …”
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