Ventromedial PFC pattern-separates cue-task associations. by Guochun Yang (1329693)

Bone loss in the mouse femoral head is associated with weightlessness in microgravity. by Rukmani Cahill (20939813)

Comparison of percent off-target reads with varying protocol modifications. by Amy Longtin (21409957)

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Profile of study locations and participants. by Hammed O. Mogaji (9421930)

“…In Ese-Odo, the prevalence decreased to 25.8% (95% CI: 23.0–29.0) from 39% at baseline (<i>d</i> = −34%, <i>p</i> = 0.00). …”

Long-term changes in ABG parameters retrospectively tracked from the initiation of LTOT in the CRF group. by Kazuma Nagata (3400058)

The incidence of grooming is most influenced by the addition of an opaque divider, as compared to manipulanda. by Matthew D. Boulanger (22600966)

<i>DRB1*15</i>:<i>01-DQB1*06</i>:<i>02</i> associated protection as a function of iKIR score. by Laura Mora-Bitria (20477525)

Flowchart of the study population. by Gábor Szaló (22615130)

“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”

Characteristics of study population. by Gábor Szaló (22615130)

“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”

Flow chart of household head recruitment. by Suvasish Das Shuvo (11204728)

“…Socioeconomic factors including gender, level of education, occupation, household monthly income, and family size of the household head were significantly associated with dietary diversity. Additionally, income condition (RRR:5.46, 95% CI:2.73–7.47 and RRR:4.85, 95% CI:2.48–7.24), and dietary diversity knowledge of the household head (RRR:5.46, 95% CI:2.73–7.47, and RRR:4.85, 95% CI:2.48–7.24) were significantly associated with low and moderate HDDS during the COVID-19 pandemic.…”

Table 1_Socio-hydrology and sustainable tank management: empirical case from a Mailam tank cascade, Tamil Nadu, India.xlsx by Raj Rengalakshmi (12058247)

Excel data used for developing Fig 1, 2, and 3. by Awoke Minwuyelet (18946300)

“…<div><p>Background</p><p>Malaria remains a significant public health challenge in Ethiopia, hindering the country’s productivity and development. …”

Long-term trajectories of ABG parameters. by Kazuma Nagata (3400058)