Binary contingency table. حسب Lu Xiao (314030)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …"

DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf حسب Marcel Dahms (9160118)

"…Improvement of the classification rate is expected with optimized model parameters and algorithms as well as with a larger spectral data base for training.…"

MCLP_quantum_annealer_V0.5 حسب Anonymous Anonymous (4854526)

"…Currently, classical high-performance and parallel spatial computing architectures are commonly employed to solve geospatial optimization problems. …"

Generalized Tensor Decomposition With Features on Multiple Modes حسب Jiaxin Hu (1327875)

"…Our proposal handles a broad range of data types, including continuous, count, and binary observations. …"

Contextual Dynamic Pricing with Strategic Buyers حسب Pangpang Liu (18886419)

"…This underscores the rate optimality of our policy. Importantly, our policy is not a mere amalgamation of existing dynamic pricing policies and strategic behavior handling algorithms. …"

Assessing the effectiveness of a melanopsin-based signal for colour constancy - ICVS Presentation 2019 حسب Daniel Garside (3367640)

"…<br><br>Additionally, the distinct spectral profile and spatial configuration (providing a secondary mesh across the retina) might provide a signal which would allow for point-wise colour constancy transformation, without relying on scene-level properties such as those employed in algorithms based on a ‘grey-world’ assumption.<br><br>To explore this problem, spectral reflectance data of natural objects from the Vrhel+ dataset (Vrhel, Gershon, and Iwan 1994), spectral power distributions from the Hernández-Andrés+ dataset (Hernández-Andrés et al. 2001), and the CIE 2006 10-deg cone fundamentals (CIE 2006), were used to compute chromaticity co-ordinates for a large number of feasible natural colour signals in MB space. …"

Bayesian sequential design for sensitivity experiments with hybrid responses حسب Yuxia Liu (1779592)

"…<p>In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. …"

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf حسب Cecilia Lindig-León (7889777)

"…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"

Image 1_Construction of a diagnostic model and identification of effect genes for diabetic kidney disease with concurrent vascular calcification based on bioinformatics and multipl... حسب Lili Huang (125493)

Changes in GABA neurons (RiboTag::Gad2-Cre). حسب Lech Kaczmarczyk (587512)

Changes in glutamatergic neurons (RiboTag::vGluT2-Cre). حسب Lech Kaczmarczyk (587512)

Changes in astrocytes (RiboTag::Cx43-Cre). حسب Lech Kaczmarczyk (587512)

DataSheet_1_Integrated analysis of potential gene crosstalk between non-alcoholic fatty liver disease and diabetic nephropathy.docx حسب Qianqian Yan (4479328)

"…Ten optimal crosstalk genes were selected by LASSO regression and Boruta algorithm, including CD36, WIPI1, CBX7, FCN1, SLC35D2, CP, ZDHHC3, PTPN3, LPL, and SPP1. …"

Data Sheet 1_Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis.... حسب Tianfei Yi (10971822)

"…Differentially expressed genes (DEGs) were identified from transcriptomic data processed with the "DESeq2" R package. …"

Table_1_Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.DOCX حسب Orit Mazza (12081914)

"…Decision trees were constructed by a hierarchical binary recursive partitioning algorithm to predict the BP-lowering of 10–30% off the maximal value when antihypertensive treatment was given in patients with an extremely high BP (above 220/110 or 180/105 mmHg for patients receiving thrombolysis), according to the American Heart Association/American Stroke Association (AHA/ASA), the European Society of Cardiology, and the European Society of Hypertension (ESC/ESH) guidelines. …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"

Table2_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.XLSX حسب Yaxian Song (10454804)

"…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …"

Table1_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.XLSX حسب Yaxian Song (10454804)

"…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …"

Presentation1_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.PDF حسب Yaxian Song (10454804)

"…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …"