بدائل البحث:
based function » based functional (توسيع البحث), basis function (توسيع البحث), basis functions (توسيع البحث)
algorithm cl » algorithm co (توسيع البحث), algorithm _ (توسيع البحث), algorithm a (توسيع البحث)
cl function » l function (توسيع البحث), cell function (توسيع البحث), cep function (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), 1 function (توسيع البحث)
based function » based functional (توسيع البحث), basis function (توسيع البحث), basis functions (توسيع البحث)
algorithm cl » algorithm co (توسيع البحث), algorithm _ (توسيع البحث), algorithm a (توسيع البحث)
cl function » l function (توسيع البحث), cell function (توسيع البحث), cep function (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), 1 function (توسيع البحث)
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Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions”
منشور في 2025"…The Rietveld refinements were used to analyze crystal structures by the Fullprof Suite program<sup>35</sup>.</p><p dir="ltr"><b>Computational details.</b> The first-principles density functional theory (DFT) calculations were performed using the Vienna ab initio simulation package (VASP)<sup>36,37</sup>. …"
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Akt1 prodigiosin docking and dynamic molecular
منشور في 2024"…Long-range electrostatic interactions were calculated using the particle-mesh Ewald (PME) algorithm, with a real space cutoff of 1.2 nm. (8) Initial Velocities Assignment: Initial velocities of particles were assigned based on Maxwell distributions to set the system in motion. (9) Molecular Dynamics Simulation: tow simulations have been performed between 10 and 100 nanosecond (ns) with sampling of each 5 ns, MD simulation was conducted to observe and analyze the system's behavior over an extended period. (10) Analysis: Various parameters including root mean square deviations (RMSD), residue root means square fluctuation (RMSF), number of hydrogen bonds (HB), radius of gyration (Rg) were calculated to analyze the system's dynamics and interactions. …"
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Raw LC-MS/MS and RNA-Seq Mitochondria data
منشور في 2025"…<p dir="ltr"><b>LC-MS/MS raw data</b></p><p dir="ltr">Spectrum matching and protein identification and validation were performed with MSFragger, and quantification of protein intensities with matching between runs was performed with IonQuant as components of the FragPipe analysis pipeline using the default settings of each module. …"
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AP-2α 相关研究
منشور في 2025"…**P < 0.01 (Student’s t-test).</p><p dir="ltr"><b>Figure 4 | Comparative transcriptomic analysis of the functional regulation of </b><b><i>VdAP-2α</i></b><b> in </b><b><i>Verticillium dahliae.…"
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An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows
منشور في 2025"…Performance Profiling Algorithms Energy Measurement Methodology # Pseudo-algorithmic representation of measurement protocol def capture_energy_metrics(workflow_type: WorkflowEnum, asset_vector: List[PhotoAsset]) -> EnergyProfile: baseline_power = sample_idle_power_draw(duration=30) with PowerMonitoringContext() as pmc: start_timestamp = rdtsc() # Read time-stamp counter if workflow_type == WorkflowEnum.LOCAL: result = execute_local_pipeline(asset_vector) elif workflow_type == WorkflowEnum.CLOUD: result = execute_cloud_pipeline(asset_vector) end_timestamp = rdtsc() energy_profile = EnergyProfile( duration=cycles_to_seconds(end_timestamp - start_timestamp), peak_power=pmc.get_peak_consumption(), average_power=pmc.get_mean_consumption(), total_energy=integrate_power_curve(pmc.get_power_trace()) ) return energy_profile Statistical Analysis Framework Our analytical pipeline employs advanced statistical methodologies including: Variance Decomposition: ANOVA with nested factors for hardware configuration effects Regression Analysis: Generalized Linear Models (GLM) with log-link functions for energy modeling Temporal Analysis: Fourier transform-based frequency domain analysis of power consumption patterns Cluster Analysis: K-means clustering with Euclidean distance metrics for workflow classification Data Validation and Quality Assurance Measurement Uncertainty Quantification All energy measurements incorporate systematic and random error propagation analysis: Instrument Precision: ±0.1W for CPU power, ±0.5W for GPU power Temporal Resolution: 1ms sampling with Nyquist frequency considerations Calibration Protocol: NIST-traceable power standards with periodic recalibration Environmental Controls: Temperature-compensated measurements in climate-controlled facility Outlier Detection Algorithms Statistical outliers are identified using the Interquartile Range (IQR) method with Tukey's fence criteria (Q₁ - 1.5×IQR, Q₃ + 1.5×IQR). …"