بدائل البحث:
algorithms python » algorithms within (توسيع البحث), algorithm within (توسيع البحث), algorithms often (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm etc » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithm a (توسيع البحث)
etc function » spc function (توسيع البحث), fc function (توسيع البحث), npc function (توسيع البحث)
algorithms python » algorithms within (توسيع البحث), algorithm within (توسيع البحث), algorithms often (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm etc » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithm a (توسيع البحث)
etc function » spc function (توسيع البحث), fc function (توسيع البحث), npc function (توسيع البحث)
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141
Table 3_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
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142
Table 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
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143
Table 2_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
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144
Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
منشور في 2025"…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …"
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145
University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
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146
University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex
منشور في 2025"…Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></p><p><br></p>…"
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147
University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
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148
University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
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149
University of Arizona authors' scholarly works published and cited works year 2020 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
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150
Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx
منشور في 2025"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
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151
Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx
منشور في 2025"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
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152
Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx
منشور في 2025"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
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153
Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx
منشور في 2025"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
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154
Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf
منشور في 2024"…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …"
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155
Pressure control techniques in freeze-drying
منشور في 2025"…The most common Pressure control techniques would be listed as follows:</p><ul><li>PID method</li><li>Fuzzy logic</li><li>Max pressure algorithms</li><li>Reinforcement learning</li><li>Adaptive control</li><li>Setpoint profile tracking (Bang-bang control)</li></ul><p dir="ltr">Pressure control systems have to perform a particular task in the target process considering some key functionalities like: system dynamism, control performance, stability, adaptability, accuracy, etc. …"
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156
a. How various statistical models account for modulation classification performance across the entire dataset.
منشور في 2025"…Parameters are <i>Type:</i> neuron classification (primary-like, sustained chopper, etc.); <i>CV:</i> Coefficient of variation of the interspike intervals in response to a pure tone at CF. …"
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157
<b>Drug Release Nanoparticle Systems Design:</b><b>Dataset Compilation and Machine Learning Modeling</b>
منشور في 2024"…Herein 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …"
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158
Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100)
منشور في 2025"…Bias correction was conducted using a 25-year baseline (1990–2014), with adjustments made monthly to correct for seasonal biases. The corrected bias functions were then applied to adjust the years (2020–2100) of daily rainfall data using the "ibicus" package, an open-source Python tool for bias adjustment and climate model evaluation. …"
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159
Data Sheet 1_CDK1 may promote breast cancer progression through AKT activation and immune modulation.docx
منشور في 2025"…This study aimed to comprehensively evaluate CDK1 expression, prognostic value, and biological functions in breast cancer through integrated bioinformatics and experimental analyses.…"
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160
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). …"