Study design and plasma viral load. by Zoey K. Wallis (17725175)

Sociodemographic Characteristics of Sample 2. by Aistė Ambrasė (22505574)

“…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. In a separate third sample (N_S3 = 39, 19 women, M_age = 23.72), we observed an inverse U-shape relationship between moral behavior related to quarantine requirements and the IH-DE subscale, as measured during the peak pandemic restrictions in late 2020. …”

English and German versions of OUS. by Aistė Ambrasė (22505574)

“…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. In a separate third sample (N_S3 = 39, 19 women, M_age = 23.72), we observed an inverse U-shape relationship between moral behavior related to quarantine requirements and the IH-DE subscale, as measured during the peak pandemic restrictions in late 2020. …”

Pearson’s correlation analysis for soil enzymes and indices of bacterial alpha diversity. by Xiaona Lyu (20871872)

(A) Pie chart showing the distribution of mutation types identified within the TP53 gene. by Ashraf Attia Mahmoud (21262201)

(A) TP53 expression levels are elevated in TP53-mutant and nonmutant HNSC samples compared to normal tissues. by Ashraf Attia Mahmoud (21262201)

Histopathological changes in pre-treated group, treated group and normal diet group. by Yasmin Mohd Zainal Abidin Shukri (20558861)

Alpha diversity index table. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

ASV species taxonomic information sheet. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

Effective sequence statistics table. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

Antibody description. by Qi He (384033)

“…<div><p>Background</p><p>Chronic stress has emerged as a prevalent facet of contemporary existence, significantly jeopardizing overall bodily health. The liver, a pivotal organ responsible for metabolic equilibrium, is particularly vulnerable to its adverse effects. …”

Raw data of this article. by Qi He (384033)

“…<div><p>Background</p><p>Chronic stress has emerged as a prevalent facet of contemporary existence, significantly jeopardizing overall bodily health. The liver, a pivotal organ responsible for metabolic equilibrium, is particularly vulnerable to its adverse effects. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

<i>upd3</i> loss-of-function mutations suppress the synthetic lethal phenotype of <i>Gpdh1</i>^{<i>A10/B18</i>}<i>; Ldh</i>^<i>16/17</i> double mutants. by Madhulika Rai (4352803)

RNAi targeting of <i>upd3</i> expression in muscle of <i>Gpdh1; Ldh</i> double mutant partially suppresses the developmental arrest phenotype. by Madhulika Rai (4352803)

(a) Histogram of relative phase at all steps for all participants. by Shinnosuke Hase (20917896)

Data used to generate Fig 1. by Pattamaporn Kittayapong (289542)

“…Development of immature stages was observed. For wild-type <i>Ae. aegypti</i>, X-ray irradiation at the doses from 3 Gy decreased the development of the first-instar larvae and increased the development of the third-instar larvae but there was no effect on pupae. …”

Data used to generate Table 6. by Pattamaporn Kittayapong (289542)

“…Development of immature stages was observed. For wild-type <i>Ae. aegypti</i>, X-ray irradiation at the doses from 3 Gy decreased the development of the first-instar larvae and increased the development of the third-instar larvae but there was no effect on pupae. …”

Data used to generate Table 2. by Pattamaporn Kittayapong (289542)

“…Development of immature stages was observed. For wild-type <i>Ae. aegypti</i>, X-ray irradiation at the doses from 3 Gy decreased the development of the first-instar larvae and increased the development of the third-instar larvae but there was no effect on pupae. …”

Data used to generate Fig 3. by Pattamaporn Kittayapong (289542)

“…Development of immature stages was observed. For wild-type <i>Ae. aegypti</i>, X-ray irradiation at the doses from 3 Gy decreased the development of the first-instar larvae and increased the development of the third-instar larvae but there was no effect on pupae. …”