Growth curve of a representative patient. by Dalit Modan-Moses (307368)

Time scale separation parameters <i>ϵ</i>, <i>ϵ</i>′ and <i>μ</i>′ control bimodality, time to memory loss, and reactivation time in the chromatin modification circuit. by Simone Bruno (12359796)

“…In all plots (<i>n</i>^<i>A</i>, <i>n</i>^<i>R</i>) ≈ (50, 0) corresponds to the active state and (<i>n</i>^<i>A</i>, <i>n</i>^<i>R</i>) ≈ (0, 50) corresponds to the repressed state. …”

Variable importance plot. by Mariana S. Silva-Alves (3615719)

Begg’s funnel plot for publication bias test. by Yupeng Luo (527348)

Rotational Periodicity Display of the Tunable Wettability Pattern in a Photoswitch Based on a Response Bilayer Photonic Crystal by Yong Qi (429532)

Hemodynamic changes and baroreflex equilibrium diagram during administration of SNP. by Aimi Yokoi (16819464)

Hemodynamic changes and baroreflex equilibrium diagram during administration of vericiguat. by Aimi Yokoi (16819464)

Characterization of hematopoietic stem and progenitor cells from BM of young and aged KO-F mice vs. by Ling Tian (107492)

Minidysferlin do not improve muscle histology. A by William Lostal (162211)

“…It should be noted that this fold correspond to a mean expression and that each individual fiber can express more or less than this means. …”

Dinucleotide A/T and G/C patterns. by Sheila M. Reynolds (245934)

“…<p>These figures show the frequency of dinucleotides composed exclusively of A/T (red) and G/C (blue). The <i>H. sapiens</i> patterns show no evidence of bp periodicity, while the <i>S. cerevisiae</i> patterns do, with peaks in the A/T pattern at 13, 24, 36, 47, 58, and 68, and peaks in the C/G pattern at 0, 20, 32, 42, 50, 61, and 72 bp from the dyad. …”

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

“…<div><p>Stunting remains a major public health concern worldwide. Although its global prevalence is slowly decreasing, the actual number of affected children is still rising in Sub-Saharan Africa. …”

A Sensory-Driven Trade-Off between Coordinated Motion in Social Prey and a Predator’s Visual Confusion by Bertrand H. Lemasson (636640)

Normalized avalanche size with respect to changes in (<i>t</i>/<i>f</i>) value. by Heesuk Kang (18086720)

“…However, the number of countries (yellow) that experience sudden failure increases from (D) to (E). A red node indicates the country in which the failure originated, orange nodes indicate countries to which the failure was transmitted at an intermediate stage, and yellow nodes indicate countries to which the failure was transmitted at the critical point.…”

Apo A-1 expression analysis. by Chiara Fania (4117279)

Lsd1 is abundantly expressed in osteoblasts and important for osteoblast differentiation. by Petri Rummukainen (4247122)

Data_Sheet_1_Bather Shedding as a Source of Human Fecal Markers to a Recreational Beach.pdf by Dong Li (212687)

“…Offshore sources appeared unlikely, since FIB and fecal markers decreased along a spatial gradient from the surf zone toward nearshore and offshore ocean waters. …”

A custom built widefield microscope. by Dinu F. Albeanu (58044)

“…The ordering of parts is as follows: CCD camera, an F to C mount adapter with an emission filter placed inside or on top of the coupler, a 62 mm, 105 mm FL lens, a 62 mm to 52 mm step down ring, a 52 mm to 52 mm coupling ring, and a 52 mm, 50 mm FL lens. …”

Bayesian framework for global RT alignment and matching spectra to peptides. by Albert Tian Chen (6900215)

Pre-post effects of a tetanus care protocol implementation in a sub-Saharan African intensive care unit by Riaz Aziz (5702639)

“…Analysis of the causes of death revealed a decrease in deaths related to airway compromise (30.0% to 1.8%, p<0.001) but an increase in deaths due to presumed sepsis (15.0% to 44.6%, p = 0.018).…”

HOW STRONG IS THE RELATIONSHIP BETWEEN RAINFALL VARIABILITY AND CAATINGA PRODUCTIVITY? A CASE STUDY UNDER A CHANGING CLIMATE by CLEBER SALIMON (5671607)

“…Rainfall variation explained as much as 50% of plant productivity, using the vegetation index as a proxy, and rainfall anomaly explained 80% of the vegetation productivity anomaly. …”