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28601
La participación social de las personas mayores en regiones enfrentadas al problema demográfico: Extremadura como caso de estudio
Published 2025-01-01“…En este estudio se siguió una metodología cuantitativa con la aplicación de una encuesta telefónica mediante CATI (Computer Assisted Telephone Interwiew) realizada a personas mayores de 54 años residentes en Extremadura (n=1.401). …”
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28602
Spatial and temporal heterogeneity of soil respiration in a bare-soil Mediterranean olive grove
Published 2025-02-01“…The results indicate that <span class="inline-formula"><i>R</i><sub>s Under-Tree</sub></span> was 3 times higher than <span class="inline-formula"><i>R</i><sub>s Alley</sub></span> in the annual computations. Higher <span class="inline-formula"><i>R</i><sub>s</sub></span> was found on the southern face, and an exponential decay of <span class="inline-formula"><i>R</i><sub>s</sub></span> was observed until the alley's center was reached. …”
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28604
Phenotypic Presentation of Children with Joint Hypermobility: Preclinical Signs
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28605
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28606
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28607
The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis
Published 2025-01-01“…Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). …”
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28608
Pemodelan Simulasi Sistem Dinamik untuk Meningkatkan Jumlah Pendapatan Unit Rawat Inap Rumah Sakit Islam Surabaya A.Yani
Published 2020-05-01“…Important information makes hospital management strive to utilize information technology as media for designing business strategies, computer simulations such as dynamic system modeling can describe and simulate real systems that refer to data, so that stakeholders can predict conditions that can occur in the future. …”
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28609
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28610
Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
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28611
Analisis Model Mental Mahasiswa dalam Pengembangan E-Learning Pemrograman Berbasis Gamifikasi Menggunakan Metode Agile UX
Published 2022-02-01“…CodeManiac has previously been developed at the Faculty of Computer Science Universitas Brawijaya (FILKOM UB) to support programming courses at the university level. …”
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28613
Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g...
Published 2024-11-01“…To start, we used free computational tools and online bioinformatics resources, including predicting gene function using a multiple association network integration algorithm (geneMania), the Kyoto Encyclopedia of Genes and Genomes, the Annotation, Visualization and Integrated Discovery (DAVID) database and the stimulator of interferon genes. …”
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28614
Resting-state functional brain connectivity in female adolescents with first-onset anorexia nervosa
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28615
Advances of wearable silicone rubber-based triboelectric nanogenerators: from manufacturing to application
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28616
Laying the groundwork: Exploring pesticide exposure and genetic factors in south-eastern Brazilian farmers
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28617
A review of literature of a functional, congenital intrathoracic kidney
Published 2025-01-01“…IV urography used to be the diagnostic modality of choice; however, it has recently been replaced by less invasive imaging methods, such as ultrasonography or computed tomography. In normal urogenital development, the embryonic folds begin to form the urinary tract and urogenital ridge in week four. …”
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28618
Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics
Published 2025-01-01“…Different methods like hyperparameter optimization, adaptive refinement, Fourier feature engineering, and locally adaptive activation functions with slope recovery are tested to tailor the PINN’s accuracy to an experimentally validated finite element analysis reference solution computed with openCFS. The hyperparameter study and optimization are conducted regarding the network depth and width, the learning rate, the used activation functions, and the deep learning backends (PyTorch 2.5.1, TensorFlow 2.18.0 1, TensorFlow 2.18.0 2, JAX 0.4.39). …”
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28620