Spectral and wavelet analysis of the IMF2 component of the alkenone-derived SST record. by Elena Zanola (20477059)

<i>SIFa</i> neurons project to important regions for control of reproductive behavior. by Yutong Song (327091)

S1 Data - by Yukai Luo (14172429)

“…Mesenchymal stem cells (MSCs) have garnered significant interest in the realm of lung regeneration due to their abundant availability, ease of isolation, and capacity for expansion. …”

<i>SIFa</i> neuronal plasticity is seen in socially isolated or sexually experienced males’ neural systems. by Yutong Song (327091)

Primer pairs for RT-qPCR. by Yoichi Kurokawa (22290520)

“…Conversely, exposure to endogenous prooxidants (dopamine and adrenaline), certain food-derived polyphenols (chrysin and 3-<i><i>O</i></i>-methylquercetin), or 1,2-naphthoquinone led to a significant decrease (<0.5-fold) in Rmst expression. …”

RT-qPCR data tables. by Yoichi Kurokawa (22290520)

“…Conversely, exposure to endogenous prooxidants (dopamine and adrenaline), certain food-derived polyphenols (chrysin and 3-<i><i>O</i></i>-methylquercetin), or 1,2-naphthoquinone led to a significant decrease (<0.5-fold) in Rmst expression. …”

Joinpoint analysis of lung cancer trends (2002–2014) in Monastir (Tunisia). by Wafa Dhouib (7134839)

“…<p>The CIR of LC showed a statistically significant upward trend. This increase was observed in both sexes, and in different age groups.…”

Transcriptome profiles of alveolar macrophages in response to <i>C. gattii</i> and <i>C. neoformans</i> infection. by Siranart Jeerawattanawart (4430302)

Stimulus-dependence of spike coding as shaped by convergent/divergent structure. by Zach Mobille (21156539)

Biological and psychobehavioral variables associated with academic performance in relation to increased stress. by Juan Luis Castillo-Navarrete (20460836)

Single-neuron information during 1 Hz stimulus. by Zach Mobille (21156539)

Leaky Integrate-and-fire neuron model parameters. by Thomas Robert Newton (21756023)

“…Additionally, the two network types exhibited distinct behaviours across different sizes: faster learning improved performance in rate networks but had little effect in spiking networks, aside from increasing instability. Through analytic derivation, we further show that slower learning rates in FORCE effectively act as a low-pass filter on the principal components of the neural bases, selectively stabilizing the dominant correlated components across spiking and rate networks. …”

Training parameters for Figs 4 and 5. by Thomas Robert Newton (21756023)

“…Additionally, the two network types exhibited distinct behaviours across different sizes: faster learning improved performance in rate networks but had little effect in spiking networks, aside from increasing instability. Through analytic derivation, we further show that slower learning rates in FORCE effectively act as a low-pass filter on the principal components of the neural bases, selectively stabilizing the dominant correlated components across spiking and rate networks. …”

Parameters for Fig 3. by Thomas Robert Newton (21756023)

“…Additionally, the two network types exhibited distinct behaviours across different sizes: faster learning improved performance in rate networks but had little effect in spiking networks, aside from increasing instability. Through analytic derivation, we further show that slower learning rates in FORCE effectively act as a low-pass filter on the principal components of the neural bases, selectively stabilizing the dominant correlated components across spiking and rate networks. …”

RV/viral co-detections and RV/bacterial/fungal co-infections in children and adolescents with RV infections. by María Isabel Sánchez Códez (21367956)

Automated Digital Discovery and Synthesis of CuO-Based Nanoparticle Heterostructures for Catalysis by Daniel Hervitz (22414233)

“…The discovery and synthesis of composite nanomaterials often rely on molecular self-assembly and crystallization, posing significant challenges due to the vast chemical space and the irreproducibility of experimental methods. …”

High precision NMR microanalyzer. by Huan Tao (2795458)

“…A series of experiments including unconfined compressive strength tests, direct shear tests, permeability tests, nuclear magnetic resonance analysis, calcium carbonate content determination, scanning electron microscopy (SEM), and X-ray diffraction (XRD) evaluates the mechanical properties, permeability, and microstructural characteristics of MICP-treated sand under varying cementation concentrations ranging from 0.2 to 0.7 mol/L. Results show that a concentration of 0.5 mol/L yields the best mechanical performance, with significantly higher unconfined compressive strength (666.65 kPa) and shear strength compared to other concentrations. …”

Normalized intensity. by Huan Tao (2795458)

“…A series of experiments including unconfined compressive strength tests, direct shear tests, permeability tests, nuclear magnetic resonance analysis, calcium carbonate content determination, scanning electron microscopy (SEM), and X-ray diffraction (XRD) evaluates the mechanical properties, permeability, and microstructural characteristics of MICP-treated sand under varying cementation concentrations ranging from 0.2 to 0.7 mol/L. Results show that a concentration of 0.5 mol/L yields the best mechanical performance, with significantly higher unconfined compressive strength (666.65 kPa) and shear strength compared to other concentrations. …”

MICP mechanism diagram. by Huan Tao (2795458)

“…A series of experiments including unconfined compressive strength tests, direct shear tests, permeability tests, nuclear magnetic resonance analysis, calcium carbonate content determination, scanning electron microscopy (SEM), and X-ray diffraction (XRD) evaluates the mechanical properties, permeability, and microstructural characteristics of MICP-treated sand under varying cementation concentrations ranging from 0.2 to 0.7 mol/L. Results show that a concentration of 0.5 mol/L yields the best mechanical performance, with significantly higher unconfined compressive strength (666.65 kPa) and shear strength compared to other concentrations. …”

Palm fiber. by Huan Tao (2795458)

“…A series of experiments including unconfined compressive strength tests, direct shear tests, permeability tests, nuclear magnetic resonance analysis, calcium carbonate content determination, scanning electron microscopy (SEM), and X-ray diffraction (XRD) evaluates the mechanical properties, permeability, and microstructural characteristics of MICP-treated sand under varying cementation concentrations ranging from 0.2 to 0.7 mol/L. Results show that a concentration of 0.5 mol/L yields the best mechanical performance, with significantly higher unconfined compressive strength (666.65 kPa) and shear strength compared to other concentrations. …”