Hasil untuk "Competition"

Daniel Malko, C. Neiss, F. Viñes et al.

C. Grönroos

Karl Sims

R. Caves

R. Callaway, L. Walker

T. Birkhead, A. Møller

Donald E. Stokes

M. Deutsch

Klaus M. Schmidt

Pat Bajari, Pat Bajari, C. L. Benkard et al.

N. Wedell, M. Gage, G. Parker

Neal M. Ashkanasy

J. Connell

Zugang Liu, Trisha D. Anderson, Jose M. Cruz

J. Craine, R. Dybzinski

X. Fu, Yongjia Lin, P. Molyneux

Tao Hong, P. Pinson, S. Fan

Thanai Permpul, Abdeel Kadir Bello, Ahmad Abdalaziz Alnusfir et al.

The article aimed to comprehensively analyse the great powers' rivalries in the current international political and geopolitical landscape, which may be leading to a changing global order. Great Power in the Changing International Order refers to the intensifying competition and conflict among the major powers, especially the US, China, and Russia. It covers various issues such as trade, technology, security, human rights and global governance. The emergence of this rivalry has challenged the existing international order, shaped mainly by the US and its allies after the Cold War. It has created new opportunities and risks for the middle and smaller powers caught between the great-power axis. The latter half of the 20th century saw a shift toward a multipolar world due to globalisation, the collapse of the Soviet Union, and technological advances. However, the 19th and 20th centuries were marked by the dynamic nature of multipolarity, with periods of stability and instability. The receding US influence, the rise of other power centres, and the transition from geopolitics to geoeconomics are among the main factors driving the transition in the world order.   Bibliography Entry Permpul, Thanai, Abdeel Kadir Bello, Ahmad Abdalaziz Alnusfir and Meshal Abdullah Salman Almaliki. 2025. "Great Power Rivalry in a Changing International Order." Margalla Papers 29 (2): 54-67.

Preetaman Bajwa, Rupinder Saini, Sukhbir Singh et al.

Abstract Industrial hemp is receiving attention for its numerous benefits, particularly in the fiber industry. Weed competition is a primary concern for hemp cultivation, causing reduced yields and inferior‐quality fiber. However, little is known about herbicide application in hemp since a limited range of herbicides are available for hemp production. During 2023, this study evaluated the effect of different post‐emergence herbicides applied at early and late growth stages to optimize weed suppression and minimize crop injury in hemp under semiarid conditions. A randomized complete block design was used with six herbicide treatments, including early post (2 weeks after planting [WAP]) and late post (5 WAP) emergence applications of S‐metolachlor, clopyralid, and ethalfluralin. Hemp plant stand showed no significant difference among treatments. Early post herbicide application reduced 86% of weed biomass compared to untreated control at 7 WAP. By 10 WAP, weed biomass became comparable across treatments. At harvest, untreated control recorded comparatively higher weed biomass than early post treatments and late post ethalfluralin. Plant height remained nonsignificant among treatments until 10 WAP. At harvest, control showed no variation with late post treatments but recorded an average of 63% lower plant height than early post applications. Hemp biomass was insignificantly affected by treatments at 10 WAP. However, on average, early post S‐metolachlor and ethalfluralin applications demonstrated potential as effective herbicides, yielding four‐folds greater hemp biomass than untreated control at harvest. In conclusion, early post S‐metolachlor and ethalfluralin are promising tools for weed control, enhancing crop competitiveness and yield in hemp cultivation.

WU Weimin, ZENG Chen

Aiming at the problems of intensified air port competition conflicts and uncontrollable transmission delay caused by the dense deployment of multiple access points in the fiber-to-the-room (FTTR) C-WAN2.0 architecture, a collaboration-enhanced distributed channel access (Co-EDCA) mechanism with multi-AP was proposed. The interference domain isolation was achieved through conflict graph modeling and time slot allocation, and the competition window was dynamically adjusted using reinforcement learning to optimize the competitive behavior of multiple SFUs. Simulation results show that the proposed mechanism can reduce the conflict probability by 23%, improve the system throughput by 98%, and reduce the transmission delay by 57% in SFU-dense scenarios, effectively solving the resource competition and quality of service guarantee problems under the C-WAN2.0 architecture.