The average obstacle degree of the PLES carrying capacity indicators in Duolun County. by A ruhan (20489164)

Distribution map of ecological space carrying capacity in Duolun County, Inner Mongolia. by A ruhan (20489164)

Distribution map of PLES carrying capacity in Duolun County, Inner Mongolia. by A ruhan (20489164)

Discount chart of PLES carrying capacity. by A ruhan (20489164)

“…The findings exhibited that (1) the distribution area of ecological space and production space decreased, while the living space area increased slightly; (2) The carrying capacity of production space showed a weak growth trend, the carrying capacity of production space, living space and the PLES space showed a weak downward trend; (3) The coupling degree and coupling coordination degree between two spaces show a slow downward trend; (4) The obstacle degree of the carrying capacity of production space and living space has increased, while the carrying capacity of ecological space is decreasing. …”

Spatial distribution map of the PLES function in Duolun County. by A ruhan (20489164)

Function combination map of the PLES in Duolun County, Inner Mongolia. by A ruhan (20489164)

Spatial variation diagram of coupling degree and coupling coordination degree of carrying capacity between ecological and production space. by A ruhan (20489164)

The coupling degree and coupling capacity scheduling change curve of the PLES in Duolun County. by A ruhan (20489164)

Distribution map of production space carrying capacity in Duolun County, Inner Mongolia. by A ruhan (20489164)

Index system and index weight of the PLES carrying capacity in Duolun County. by A ruhan (20489164)

Spatial variation diagram of coupling degree and coupling coordination degree of carrying capacity between ecological and living space. by A ruhan (20489164)

Obstacle degree of the PLES carrying capacity criterion layer in Duolun County. by A ruhan (20489164)

Spatial differentiation of coupling degree and coupling coordination degree of carrying capacity in PLES. by A ruhan (20489164)

Phasor analysis of multislice 2D quantitative diffusion MRI datasets. by Muhamed N. Hashem Eeza (15295543)

Data_Sheet_1_Improving mental well-being in psychocardiology—a feasibility trial for a non-blended web application as a brief metacognitive-based intervention in cardiovascular dis... by Katharina Larionov (6496352)

“…This is, in turn, associated with a decrease in the quality of life. Psychocardiological treatment options are currently limited. …”

Self-Regulation of Brain Activity in Patients with Postherpetic Neuralgia: A Double-Blind Randomized Study Using Real-Time fMRI Neurofeedback by Min Guan (363587)

“…</p><p>Methods</p><p>Sixteen patients (46–71 years) with PHN were randomly allocated to a experimental group (n = 8) or a control group (n = 8). 2 patients in the control group were excluded for large head motion. …”

Gestational dependence of placental T2* values and rates of change. by Matthias C. Schabel (13119106)

Dynamic tendency chart of monthly FVC at pixel scale: (a-l) People’s Park; (m-x) Harmony Park. by Yichuan Zhang (2888345)

Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx by Joanna Tobiasz (11816504)

“…Radiosensitivity was measured by the surviving fraction at 2 Gy (SF2). We applied a dynamic programming (DP) algorithm to create a piecewise (segmented) multivariate linear regression model predicting SF2 and to identify SF2 segment-related distinctive CNVs.…”

Delocalized Lithium Ion Flux by Solid-State Electrolyte Composites Coupled with 3D Porous Nanostructures for Highly Stable Lithium Metal Batteries by Jooyoung Lee (399710)

“…Here we discovered it is necessary to seek synergy from our separator and anode pair to deliver delocalized Li⁺ to the anode and then uniformly plate Li metal over the large surface areas of the porous anode. Our polymer composite separator containing a solid-state electrolyte (SE) can provide numerous Li⁺ passages through the percolated SE and pore networks. …”