Import risk aggregated on regional level “to target” vs. “from source” and its geodesic distance dependence. by Pascal P. Klamser (10305732)

A degradation debt? Large-scale shifts in community composition and loss of biomass in a tropical forest fragment after 40 years of isolation by Rakan A. Zahawi (530432)

“…Turnover was high: 22.9% of stems in the first survey were lost, and 27.8% of stems in the second survey represented new recruits. Mean tree diameter decreased significantly and there was a 10% decrease in overall biomass. …”

Morphometric data of multipolar interneurons. by Janine R. Neumann (6330863)

Results of physiological parameters. by Vanessa Wellauer (18408477)

Effect of seed priming on specific leaf weight and relative water content in pearl millet. by N. K. Gupta (11211399)

Effect of seed priming on anti-oxidants and lipid peroxidation in pearl millet at 50 DAS. by N. K. Gupta (11211399)

Effect of seed priming on Chlorophyll, proline and soluble sugar content in pearl millet. by N. K. Gupta (11211399)

Indirect BIS recording via the interface device (clinical study 1). by Hideki Harada (2159767)

Behavior of split^<50cM <i>ClvR</i> V2 with linkage. by Georg Oberhofer (3401438)

“…Note that the y-axis not a linear scale. The distances shown are meant to capture a range of interesting biological values within a modest figure space. …”

Stimulus-driven Blondel communities proofed that both affected subnetworks were an interconnected system. by Isabel Wank (12475626)

Navigation error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Summary of related works. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Research methodology flow diagram. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Positioning error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Error-Bar graph. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

A, B, C: Degree distribution of the three subnetworks. by Marie-Cécile Dupas (6725546)

“…<p><b>A’, B’, C’: Node strength distribution of the three subnetworks</b>. …”

A supported self-help for recurrent depression in primary care; An economic evaluation alongside a multi-center randomised controlled trial by Karolien E. M. Biesheuvel-Leliefeld (6103085)

“…<div><p>Background</p><p>Major depression is a prevalent mental disorder with a high risk of relapse or recurrence. …”

Table 1_Lower phase angle as a marker for poor prognosis in patients with chronic kidney disease: a cohort study.docx by Yi-qin Chen (21497477)

“…In the multivariable Cox regression model, subjects belonging to higher quartiles of phase angle presented with a decreased risk of poor prognosis, showing 29 and 38% risk reductions in Q3 (aHR 0.71, 95%CI 0.55–0.93) and Q4 (aHR 0.62, 0.45–0.85) versus Q1 (both p < 0.05). …”

Activity profiles of <i>CS</i>, <i>Dah</i>, and <i>w</i>^<i>1118</i> female and male flies. by Nathan Woodling (3932906)

Sleep profiles of <i>CS</i>, <i>Dah</i>, and <i>w</i>^<i>1118</i> female and male flies. by Nathan Woodling (3932906)