The structure of the data sample. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

The genome recombination of neuroevolution. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

The principle of sample data augmentation. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

“…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”

Merged dataset with analysis of variance and visualization after removal of batch effects for GSE183272 and GSE236374. by Wenlong Kuang (20485167)

Table 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.docx by Yuxuan Li (1674307)

Image 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.tif by Yuxuan Li (1674307)

Data associated with "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" by Gaia Bianchini (7570553)

“…<p dir="ltr">Dataset from Bianchini et al., "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" available at https://www.biorxiv.org/content/10.1101/2025.02.11.637674v3.…”

Baseline characteristics of participants. by Anna M. Leone (22486372)

“…At each visit, HIV exposure risk was categorized as low or moderate/high (i.e., higher) risk based on an algorithm. PrEP adherence was measured via tenofovir concentrations, with functional adherence defined at levels consistent with ≥4 doses/week. …”

Data XGBOOST. by Xin Zhang (35492)

“…<div><p>Introduction</p><p>Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. …”

Data Sheet 1_Non-negative connectivity causes bow-tie architecture in neural circuits.pdf by Zhaofan Liu (327486)

Profile of dysregulated proteins in SCA1 cells containing polyQ inclusions. by Aimilia-Christina Vagiona (17584758)

Retrieved texts. by Jackson Jr Nforbewing Ndenkeh (13788072)

“…Despite recommendations for frequent HIV testing and daily pre-exposure prophylaxis (PrEP) uptake, there remains a gap in PrEP uptake among these Black MSM in the Southern U.S. …”

Participants’ characteristics (N = 21). by Jackson Jr Nforbewing Ndenkeh (13788072)

“…Despite recommendations for frequent HIV testing and daily pre-exposure prophylaxis (PrEP) uptake, there remains a gap in PrEP uptake among these Black MSM in the Southern U.S. …”

Survey database. by Jackson Jr Nforbewing Ndenkeh (13788072)

“…Despite recommendations for frequent HIV testing and daily pre-exposure prophylaxis (PrEP) uptake, there remains a gap in PrEP uptake among these Black MSM in the Southern U.S. …”

Gene subtyping analysis based on DEGs among PRG molecular subtypes. by Xiangxin Wu (22320058)

Identification of PRG molecular subtypes and prognostic outcome analysis. by Xiangxin Wu (22320058)

Load frequency control performance enhancement of an electric vehicle integrated time-delay multi-microgrid system by Bhuvnesh Khokhar (19665602)

“…A cyclical parthenogenesis algorithm-optimized 2DOF-FOPID controller is implemented to obtain dynamic responses of the M<i>μ</i>G system. …”

A. Mean change from baseline on Cognitive Ability Scores. by Carol Kotliar (22351525)