Displacement cloud maps. by Maogang Tian (21485116)

Line graph showing the increase or decrease in the average number of bee swarms caught over the past three years (Mean  by Beatrice T. Nganso (4114768)

ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The nsP4-Q192L and C483Y mutations decrease the 4′-FlU sensitivity of both replication and transcription. by Peiqi Yin (6533747)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Displacement cloud map (geology). by Hui Cheng (195456)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

NSC population and proliferation decrease drastically during the second postnatal week of DG development. by Cristina Medina-Menéndez (21800157)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

Antibody and antigen responses after treatment with nMAb vs placebo, day 1-90 (pooled nMAb treatments). by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to nMAb vs placebo day 1–90 for Amubarvimab/ Romlusevimab. by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to Ensovibep vs placebo day 1–90. by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to nMAb vs placebo day 1–90 for Tixagevimab/ Cilgavimab. by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to nMAb vs placebo day 1–90 for Bamlanivimab. by Elizabeth S. Munroe (21568166)

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Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

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Baseline patient characteristics across neutralizing monoclonal antibody trials. by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to Lufotrelvir vs placebo day 1–90. by Elizabeth S. Munroe (21568166)

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Antibody and antigen responses to nMAb vs placebo day 1–90 for Sotrovimab. by Elizabeth S. Munroe (21568166)

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