Nonuniform broadening of cross-peaks in 2D ¹⁵N-HSQC spectra of ¹⁵N/¹³C-labeled αTM1a_1-14Zip upon addition of unlabeled Lmod2s1. by Dmitri Tolkatchev (2951769)

“…Upon the Lmod2s1 (MW ≈ 4.7 kDa) addition (spectrum B), the cross-peaks exhibited non-uniform broadening. As a result of the broadening, the peak intensities decreased, and the total number of the detectable resolved peaks reduced to 23. …”

Monoarylplatinum(II) Complexes with a 2-Phenylpyridyl Ligand and Coordinated Solvent, [Pt(Ar)(Phpy)(solv)] (Phpy = 2-phenylpyridyl; solv = NCCH₃, dmso). Preparation from... by Takeyoshi Yagyu (2381218)

“…The rate of the reactions decreased in the order <b>1a</b> > <b>1c</b> > <b>2b</b> > <b>1b</b>. …”

Brain maps across three neural feedback training sessions (rows a, b, and c from sessions 1, 2, and 3, respectively) using real time fMRI (rt-fMRI) for each of four cases (6.1, 6.2... by Avi K. Matarasso (10757339)

SNR maps derived from eight-element Nova array, sixteen-element Nova array with 16 receivers, sixteen-element Nova array with 8 receivers (N = 2, R = 2) and sixteen-element Nova ar... by Bing Wu (172312)

Data Sheet 1_Integrated computational and experimental identification of N-[(1H-1,2,4-triazol-3-yl)phenyl]-1-(1H-pyrazolo[3,4-b]pyridin-3-yl)methanamide as a potent and selective T... by Xinxin Ying (21507500)

“…Survival analysis revealed a significant correlation between elevated TIM-3 expression and decreased patient survival. …”

<b>Distributed Hydraulic Micro-Cooling (MHD): A Low-Cost, High-Impact Urban Heat Mitigation Strategy</b> / <b>Enfriamiento Hidráulico Micro-Distribuido (MHD): Estrategia Urbana de... by Ricardo Riveros (22484566)

“…<p><br></p><p><br></p><p dir="ltr"><b>Distributed Hydraulic Micro-Cooling (MHD): A Low-Cost, High-Impact Urban Heat Mitigation Strategy</b></p><p dir="ltr"><b>Description :</b><br>Urban Heat Islands (UHI) represent one of the most severe and accelerating climate risks for cities worldwide. …”

Results of the multi-armed bandit experiments. by Rachit Dubey (13199712)

“…The ‘Dynamic compare’ agent selects the optimal action at a higher rate throughout its lifetime compared to these two agents. <b>(b)</b> Bandit task where the arms are very close to each other. …”

Simultaneous alterations in light intensity on each side of the mirror over time. by Nathalie Lavenne-Collot (11262998)

Tracking performance. by Dylan B. Snyder (17691734)

Block diagram illustrating the solution approach. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Example of graph representation of an CSP. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Feasible stopper/saw positions. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Pseudocode of the WACO algorithm. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Schematic of the cutting machine. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Model sensitivity analysis to parameters: <i>k</i>_5,<i>P</i>, <i>K</i>_<i>a</i>, <i>K</i>_<i>PLC</i>, <i>V</i>_<i>SERCA</i> and <i>β</i>. by Dharsan K. Soundarrajan (11632145)

“…<i>e</i>., 50% of a BV of 0.66 s^-1 would simulate a value of 0.33 s^-1). …”

Evolution without constraints in the Beauchemin model. by Inge M. N. Wortel (12085952)

“…Analogous to earlier figures, the “fitness” equals area explored divided by circle area (<i>πr</i>² ≈ 530 pixels), making the fitness directly proportional to area explored.…”

Structure, Electrochemistry, and Magnetism of the Iron(III)-Substituted Keggin Dimer, [Fe₆(OH)₃(<i>A-</i>α<i>-</i>GeW₉O₃₄(OH)<sub>3</sub... by Li-Hua Bi (2337655)

“…EPR studies confirm that the ground state is indeed diamagnetic, since the EPR signal intensity steadily decreases without any line broadening as the temperature is lowered and becomes unobservable below about 50 K. …”

Synthesis and Decomposition of Alkyl Complexes of Molybdenum(IV) That Contain a [(Me₃SiNCH₂CH₂)₃N]^3- Ligand. Direct Detection... by Richard R. Schrock (1295601)

“…Below ∼50 K the effective moments undergo a sharp decrease as a consequence of what are proposed to be a combination of spin−orbit coupling and zero field splitting effects. …”

Sensitivity of the endemic Mf prevalence, breakpoint values, and TBRs to changes in the shape parameter of the negative binomial distribution, (<i>k</i>) describing the distributio... by Manoj Gambhir (70469)

“…<p>The <i>k</i> values were varied by maintaining the linear dependence upon Mf values (see text) but increasing/decreasing the linear component by 50% so that this value was given by i) 0.0354, ii) 0.0236, and iii) 0.0118. …”

(a) The low frequency/high frequency (LF/HF) ratio and (b) the HF of heart rate variability at rest (Rest (pre)), before (Pre-feeding), during (Feeding), after feeding (Post-feedin... by Nobuyo Ohtani (360207)

“…<p>Fast, Slow and Fast with delayed feeding: See Tables <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142899#pone.0142899.t001" target="_blank">1</a> & <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142899#pone.0142899.t002" target="_blank">2</a>. a) significantly increased, compared with the Rest (pre) (paired t-test, <i>p</i> < 0.05 or better); t-values: –3.76, –4.03, and –3.50 at Pre-feeding, Feeding, and Post-feeding, respectively, in Fast; –2.94 at Pre-feeding in Slow; –5.59 at Pre-feeding in Fast with delayed feeding. b) significantly decreased, compared with the Rest (pre) (paired t-test, <i>p</i> < 0.05 or better); t-values: 3.56 at Pre-feeding in Fast and 4.81 in Fast with delayed feeding; m) significantly increased, compared with the Pre-feeding (paired t-test, <i>p</i> < 0.05 or better); t-values: -3.74 and -4.28 at Post-feeding and Rest (post), respectively, in Slow; -4.81 and 4.74 at Pre-feeding and Rest (post), respectively, in Fast with delayed feeding; n) significantly decreased, compared with the Pre-feeding (paired t-test, <i>p</i><0.05 or better); t-values: 3.14 and 3.44 at Post-feeding and Rest (post), respectively, in Slow; 4.96, 4.82 and 5.45 at Feeding, Post-feeding and Rest (post), respectively, in Fast with delayed feeding; x) significantly increased, compared with the Fast group (Post-feeding) (F(2, 19) = 5.69, <i>p</i><0.01) (Dunnett’s test); y₁) significantly decreased, compared with the Fast group (Post-feeding) (F(2, 19) = 3.62, <i>p</i><0.05) (Dunnett’s test); y₂)significantly decreased, compared with the Fast group (Post-feeding) (F(2, 19) = 9.91, <i>p</i><0.01)(Dunnett’s test).…”