Trajectory mode selection. by Anees ul Husnain (18017648)

Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf by Sai Sakunthala Guddanti (17739363)

“…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …”

Selective information exposure under algorithms: How filter bubbleof DouYinaffect college students' emotions attitudes and ideologies by LIN HE (21603452)

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics by Zhichao Liu (191718)

“…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics by Zhichao Liu (191718)

“…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…Theoretical and applied experiments are conducted using four solvers: QBSolv, D-Wave Hybrid binary quadratic model 2, D-Wave Advantage system 4.1, and Gurobi. …”

Illustration of the cell detection process. by Adam L. Tyson (10892822)

Identifying cases of chronic pain using health administrative data: A validation study by Heather E. Foley (9436486)

“…Chronic pain algorithms were created from the administrative data of patient populations with chronic pain, and their classification performance was compared to that of the reference standard via statistical tests of selection accuracy.…”

The 44 MT variants selected by Vijay. by Xuexin Yu (733842)

Data_Sheet_1_A survey of biosecurity practices of pig farmers in selected districts affected by African swine fever in Uganda.zip by John E. Ekakoro (6786596)

DataSheet_1_Training Population Design With the Use of Regional Fusarium Head Blight Nurseries to Predict Independent Breeding Lines for FHB Traits.pdf by Virginia L. Verges (9130013)

Proposed IDS architecture. by Saad Hammood Mohammed (20623506)

Geographical map of the included empirical studies by type of integration. by Caroline A. Bulstra (6057524)

Data_Sheet_1_In-Hospital Mortality of Sepsis Differs Depending on the Origin of Infection: An Investigation of Predisposing Factors.PDF by Mark Pieroni (12539632)

Spectral parametrization for early and late trials. by Simon Nougaret (17980269)

Data_Sheet_2_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Data_Sheet_1_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Data_Sheet_3_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Schematic illustration of the data analysis. by Brigitta Tóth (6411491)

“…<p><b>A) EEG preprocessing</b>. Following primary filtering and ICA based artefact removal data was segmented. …”

Image_1_Development and Validation of a Predictive Model for Severe COVID-19: A Case-Control Study in China.TIFF by Zirui Meng (10671261)