Electronic configuration of the polypeptide backbone versus complexity of tertiary structure and order of oligomerization in soluble and integral membrane proteins. by Andrzej Stanisław Cieplak (2717653)

“…Δ<i>FP</i>_{<i>i-1→i+1</i>} plots for the antiparallel β sheets that assemble ‘C₅ strands’ or ‘C_7eq strands’ and ‘<i>FP</i>_<i>i</i>>>0 turns’, panels <b>(C)</b> and <b>(D)</b>, even though large differences in the folding potential values and wide distribution of the slope values, from Δ<i>FP</i>_{<i>i-1→i+1</i>} ~ ‒1 to Δ<i>FP</i>_{<i>i-1→i+1</i>} ~ 1, generate in this case circular distribution of data points. <b>(A)</b> (a) The peripheral stalk helix of F₀F₁ ATP synthase from <i>E</i>. …”

Impact of Fixed Nitrogen Availability on Dehalococcoides mccartyi Reductive Dechlorination Activity by Devrim Kaya (8039411)

“…Quantitative polymerase chain reaction (qPCR) revealed that Cornell-type <i>Dhc</i> capable of N₂ fixation dominated PW4 cultures without NH₄⁺, but their relative abundance decreased in cultures with NH₄⁺ amendment (i.e., 99 versus 54% of total <i>Dhc</i>). …”

Factors associated with stunting in healthy children aged 5 years and less living in Bangui (RCA) by Pascale Vonaesch (149522)

“…Most importantly, we identified being overweight [weight-for-height z-score (WHZ) > 2 SD; aOR: 3.21; 95% CI: 1.50; 6.90 of overweight compared to normal weight] as also being significantly associated with stunting. …”

(A–C) Effect of malonate, (D–F) effect of KCN and (A, B, D, E) proton leak kinetics by Nadeene Parker (53449)

“…Succinate (4 mM) was added at =− 1.5 min (see A) in the absence (open symbols) or presence (closed symbols) of 50 μM HNE. …”

S3 Fig - by Yaqi Wang (1555240)

Characterization of vesicles and neurites in different developmental periods. by Guangming Gan (622715)

Cross sectional study of mode of delivery and maternal and perinatal outcomes in mainland China by Lei Hou (274359)

“…Intrapartum indicated CD was associated with an increased risk of PPH (aOR = 1.68, CI = 1.50–1.89) compared to SVD. Compared to SVD, antepartum non-indicated CD was associated with lower likelihood of neonatal death (aOR = 0.14, CI = 0.06–0.34), neonatal ICU admission (aOR = 0.50, CI = 0.36–0.69), 5-minute Apgar<4 (aOR = 0.06, CI = 0.10–0.36), and respiratory distress syndrome (RDS) (aOR = 0.31, CI = 0.16–0.58), but not significantly associated with changes in rates of infection, hypoxic ischemic encephalopathy (HIEE), birth trauma or meconium aspiration rates.…”

Schematic representation of the crosstalk between nerve fibers and osteogenic cells in the periosteum. by Cédric Mauprivez (819048)

Recurrence risk assessment of LARC patients undergoing nCRT by ctDNA monitoring. by Yaqi Wang (1555240)

CavA and Vfr are regulators of global intracellular c-di-GMP levels in <i>A. baumannii</i>. by Lyuboslava G. Harkova (19557062)

“…Deletion of <i>cavA</i> reduced c-di-GMP levels by 66% (<b>A</b>) while disruption of <i>vfr</i> decreased them by 49% (<b>B</b>). …”

Multiple Knee Points in the Degradation of a Commercial Lithium-ion Battery: A Case Study of the NCM/Graphite System (Supporting Information) by Yui FUJIHARA (17772971)

“…Further studies are required to continuously track changes over time and elucidate the source of knee points during operation. Herein, we conduct degradation cycle tests using a large-format commercial lithium-ion battery (>50 Wh, LiNi_0.5Co_0.2Mn_0.3O₂/graphite) and analyze the knee points during cycling by employing electrochemical impedance spectroscopy (EIS) at different states of charge (SOCs) to track the degradation state over time, in combination with differential analysis and post-mortem methods. …”

Zpg does not function as a hemichannel. by Yanina-Yasmin Pesch (13884117)

“…<p>(A-D) <i>zpg</i> mutants rescued with genomic rescue constructs in which one or more cysteine residues were mutated, hindering the formation of gap junctions, have rudimentary testes and no Zpg is detected by antibody staining (green in A-D; single channels depicted in grey in A’-D’; wt in A-A’; <i>zpg</i> C6S, B-B’:, <i>zpg</i> C145S, C-C’; <i>zpg</i> C236S, D-D’). …”

Characteristics of Gasless Combustion of Core–Shell Al@NiO Microparticles with Boosted Exothermic Performance by Shina Maini (19413980)

“…The PM composite was not able to be ignited at all by a 5 W laser, while the core–shell counterpart ignited at 2.55 ms and was completely combusted within 6.50 ms accompanying a violent impulse.…”

Characteristics of Gasless Combustion of Core–Shell Al@NiO Microparticles with Boosted Exothermic Performance by Shina Maini (19413980)

“…The PM composite was not able to be ignited at all by a 5 W laser, while the core–shell counterpart ignited at 2.55 ms and was completely combusted within 6.50 ms accompanying a violent impulse.…”

Maintenance of weight loss or stability in subjects with obesity: a retrospective longitudinal analysis of a real-world population by Maral DerSarkissian (504144)

“…</p> <p><b>Methods:</b> A retrospective observational longitudinal study of subjects with obesity was conducted using the General Electric Centricity electronic medical record database. …”

IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”

RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”

CICID2017 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

“…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”

Shows the basic architecture of an autoencoder. by Ahmed Muqdad Alnasrallah (21647492)

“…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”

Architecture of deep neural networks. by Ahmed Muqdad Alnasrallah (21647492)

“…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”