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. …”

Table_1_Evaluation of the Thermal Inactivation of a Salmonella Serotype Oranienburg Strain During Cocoa Roasting at Conditions Relevant to the Fine Chocolate Industry.docx by Runan Yan (10269113)

“…A Weibull model indicated a decrease in the Salmonella inactivation rate over time (β < 1). …”

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

Synergy of Excitation Enhancement and the Purcell Effect for Strong Photoluminescence Enhancement in a Thin-Film Hybrid Structure Based on Quantum Dots and Plasmon Nanoparticles by Victor Krivenkov (5472647)

“…The excitation enhancement is usually accompanied by a decrease in the PL quantum yield (QY) due to the plasmon-induced energy transfer, and the Purcell effect cannot significantly enhance the PL of QDs with an initially high QY because of the obvious limitation of the QY by the value of 100%. …”

Feijoa F3 inhibits NF-κB activity in A. MEF cells and B. MEF Atg5^-/- cells. by Noha Ahmed Nasef (760610)

“…A percentage of greater than 100 shows increased inflammatory response in the presence of the ligand when compared to media (no treatment); and a percentage of less than 100 suggests a decrease in the inflammatory response in the presence of the ligand when compared to media (no treatment) meaning that a condition has inhibited NF-κB signaling. …”

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.…”