Behavior of split^<50cM <i>ClvR</i> V1 with linkage. by Georg Oberhofer (3401438)

Behavior of split^<50cM <i>ClvR</i> V2 with linkage. by Georg Oberhofer (3401438)

“…<b>(A-C)</b> Versions of split^<50cM <i>ClvR</i> V2, in which the components are separated by different map distances, indicated by colored lines: 50cM (yellow), 25cM (orange), 10cM (green), 5cM (purple), 2cM (brown), 1cM (red) and complete linkage (blue). …”

Alternate Wetting and Drying Limits Arsenic in Porewater and Rice Grain under Severe Future Climate Conditions by Aria H. Duncan (22445853)

Subjects:

Decreasing fluconazole susceptibility of clinical South African <i>Cryptococcus neoformans</i> isolates over a decade by Serisha D. Naicker (8648370)

Population dynamics modeling of split^50cM <i>ClvR</i> V1 introduced at a 50% release, with fitness cost per allele varying from 0–15%. by Georg Oberhofer (3401438)

Population dynamics of <i>Killer-Rescue</i>/Cargo, <i>ClvR</i> and split^50cM <i>ClvR</i> V2. by Georg Oberhofer (3401438)

Shows the 5′ region and the exons of the <i>C3</i> gene in the vertical line and the three new SNPs that we found by sequencing. by Yonghui Wang (287491)

Subjects:

Competition localization increases with growth rate or the distances between colonies, and decreases with the resource diffusion constant. by Jeremy M. Chacón (8259792)

Drive dynamics for split^<50cM <i>ClvR</i>s with different genetic linkage and migration rates. by Georg Oberhofer (3401438)

Decreases in muscle size, muscle force, and TB mass in 3-mo Lmna^HSA-cko mice. by Lei Xiong (334812)

Partial correlation of <i>ε</i>_max (left column) and IC₅₀ (right column) estimates at 10 days and 20 days (first and second bar of each color, respectively) o... by Hope Murphy (8843516)

Distribution Coefficients of the REEs, Sr, Y, Ba, Th, and U between α‑HIBA and AG50W-X8 Resin by Haoyu Li (1672648)

“…However, only limited REE partition data between α-HIBA and cation resins exist, which makes it challenging to develop and optimize purification techniques using this platform. Here, we report distribution coefficients (<i>K</i>_d) of REEs, as well as Sr, Y, Ba, Th, and U, between α-HIBA at pH = 4.50 and AG50W-X8 cation-exchange resin, obtained by batch equilibration experiments. …”

CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

“…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).…”

Population dynamics modeling of split^50cM <i>ClvR</i> V1 drive introduced at different release percentages, and an example illustrating the role that LOF alleles play in... by Georg Oberhofer (3401438)

“…(<b>G-I)</b> One way to appreciate the power of the latent drive force provided by LOF alleles that segregate independently of the <i>Rescue</i>/Cargo is to consider a split^50cM <i>ClvR</i> population in which a <i>Rescue</i>/Cargo/gRNAs with no fitness cost has spread to allele fixation, the Cas9 driver chromosome has been completely eliminated (as would happen during drive if the presence of Cas9 resulted in a fitness cost to carriers, discussed below), and all endogenous copies of the essential gene have been rendered LOF (generation 0 in <b>G-I</b>). …”

Data from: Spillage and food dust do not decrease efficacy of long-lasting insecticide-incorporated netting against stored product insects by Sabita Ranabhat (17484660)

Population dynamics of <i>Killer-Rescue</i>/Cargo, ClvR and split^50cM <i>ClvR</i> for elements with different fitness costs, and introduction percentages. by Georg Oberhofer (3401438)

Titanate Nanosheets/Cellulose Composite Showing Improved Crystallinity and Decreased Water Wettability by Gamma-Irradiation by Yaowaluk Tariwong (22630109)

Population behavior of split drive components <i>Rescue</i>^<i>tko</i> and Cas9/<i>Cleaver</i> alone and together as a complete split^50cM <i>ClvR</i> V2 elemen... by Georg Oberhofer (3401438)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)