Conductivity and Diffusivity of Ions in Aqueous MgCl₂ from Equilibrium and Nonequilibrium Simulations حسب Tanika Duivenvoorden (21267727)

Decision-making algorithm for implementing a clinical pharmacy service in oncology. Algoritmo de tomada de decisão para implantação de um serviço de farmácia clínica em oncologia.... حسب Giuliano Cesar Silveira (21078053)

Table 1_Establishment of a predictive model for spontaneous preterm birth in primiparas with grade A1 gestational diabetes mellitus.docx حسب Ting Sun (137181)

"…The factors influencing SPB were explored, and a prediction model based on a random forest algorithm was constructed.</p>Results<p>Short CL in the second trimester, a family history of preterm birth, a high pre-pregnancy and prenatal body mass index, the use of assisted reproductive technology, and a high fasting blood glucose level in the first trimester were important risk factors for SPB in primiparas with grade A1 GDM. …"

16S rRNA sequencing raw data from a thermophilic trickle bed reactor for biogas upgrading حسب Getachew Birhanu Abera (20402390)

"…The resulting sequencing library was loaded onto a MinION R10.4.1 flowcell and sequenced using the MinKNOW 23.04.6 software (Oxford Nanopore Technologies, UK). Reads were basecalled and demultiplexed with MinKNOW guppy g6.5.7 using the super accurate basecalling algorithm (config r10.4.1_400bps_sup.cfg) and custom barcodes.The sequencing reads in the demultiplexed and basecalled fastq files were filtered for length (320-2000 bp) and quality (phred score > 15) using a local implementation of filtlong v0.2.1 with the settings –min_length 320 –max_length 2000 –min_mean_q 97. …"

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows حسب Pierre-Alexis DELAROCHE (22092572)

"…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). …"

AP-2α 相关研究 حسب Ya-Hong Wang (21080642)

"…(B) Strain susceptibility profiles under abiotic stress conditions (SDS, sorbitol, NaCl, CR, and CFW). Inhibition rates were calculated based on colony diameters in (A). …"