The SCOPer algorithm can be run efficiently on multiple cores. حسب Nima Nouri (2183760)

Graphical representation of the community of <i>Dehalobacter</i> sp. CF and <i>Bacteroidales</i> sp. CF50 after the application of the community gap-filling method. حسب Dafni Giannari (11632200)

Data_Sheet_1_Non-Linear Mixed-Effects Pharmacokinetic Modeling of the Novel COX-2 Selective Inhibitor Vitacoxib in Cats.pdf حسب Jianzhong Wang (446991)

Data_Sheet_1_Non-Linear Mixed-Effects Pharmacokinetic Modeling of the Novel COX-2 Selective Inhibitor Vitacoxib in Cats.pdf حسب Jianzhong Wang (446991)

DataSheet_1_CL-PMI: A Precursor MicroRNA Identification Method Based on Convolutional and Long Short-Term Memory Networks.pdf حسب Huiqing Wang (1370457)

"…In order to overcome the limitations of existing methods, we propose a pre-miRNA identification algorithm based on a cascaded CNN-LSTM framework, called CL-PMI. …"

Fig 4 - حسب Marcus Ghosh (7847267)

Structural features and sequence alignments of PTEN in <i>Entameoba histolytica</i>. حسب Samia Kadri (12488339)

Akt1 prodigiosin docking and dynamic molecular حسب Fares ELGHALI (18467655)

"…Following the methodology outlined by Faker et al. 2024,(Frikha et al., 2024) Here's a breakdown of the steps outlined: (1) Preparation of Inputs: The CHARMM-GUI was used to prepare inputs with the CHARMM36 force field for molecular simulations. (2) System Setup: The initial structure was placed in a rectangular box, solvated with water molecules using the TIP3P model, and neutralized by adding potassium (K+) and chloride (Cl-) ions. (3) Energy Minimization: The system underwent energy minimization using the steepest descent energy minimization algorithm for 50,000 steps to relieve steric clashes and correct bad contacts. (4) Pre-Equilibration Simulation: A pre-equilibration simulation was conducted for 125 picoseconds (ps) in the NVT ensemble (constant number of particles, volume, and temperature) at 300 Kelvin (K) using velocity rescaling with a stochastic term. (5) NPT Equilibrium Simulation: Each system underwent an NPT equilibrium simulation for 125 ps in the NPT ensemble (constant number of particles, pressure, and temperature). …"

Table 1_High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion.docx حسب Zhongqiang Song (21669041)

"…</p>Methods<p>This study established the first fine-grained dataset encompassing aphid Crawling Locomotion(CL), Leg Flicking(LF), and HE behaviors, offering standardized samples for algorithm training. …"

DataSheet1_A novel 7-chemokine-genes predictive signature for prognosis and therapeutic response in renal clear cell carcinoma.PDF حسب Ming-Jie Lin (14813353)

"…Utilizing the LASSO algorithm in conjunction with univariate Cox analysis, the gene signature was constructed. …"

DataSheet_2_Salt tolerance evaluation and mini-core collection development in Miscanthus sacchariflorus and M. lutarioriparius.pdf حسب Yanmei Tang (1780777)

"…Notably, the mini-core collection containing 64 genotypes developed using the Core Hunter algorithm effectively represented the overall variability of the entire collection. …"

DataSheet_1_Salt tolerance evaluation and mini-core collection development in Miscanthus sacchariflorus and M. lutarioriparius.pdf حسب Yanmei Tang (1780777)

"…Notably, the mini-core collection containing 64 genotypes developed using the Core Hunter algorithm effectively represented the overall variability of the entire collection. …"

Interaction of Rare-Earth Metals and Some Perfluorinated β‑Diketones حسب Maxim A. Lutoshkin (6651425)

"…Spectral, keto–enol, acid–base, and complexing properties were reproduced using density functional theory modeling and explain some of the regularities discovered.…"

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). …"