冲击力 发表于 2025-3-23 10:34:19
http://reply.papertrans.cn/24/2330/232999/232999_11.pngDIS 发表于 2025-3-23 15:47:48
http://reply.papertrans.cn/24/2330/232999/232999_12.pngModerate 发表于 2025-3-23 18:16:08
Meningeal Tumors (General Principles)p by using a one-dimensional map. A cobweb-like diagram is also introduced in order to analyze the stability of the system. We show that the stability of a fixed point in cobweb diagram implies the stability in phase diagram for the given system..In addition, an application of the system to a non-hyBROW 发表于 2025-3-23 22:52:54
Tumors of the Spinal Column and Spinal Cord,posed. Experiments and comparisons of results obtained were performed in relation to results of the Variable neighborhood search for bandwidth reduction. Simulations with these two heuristics were performed with 113 instances of the Harwell-Boeing sparse matrix collection and with 2 sets of instance肉身 发表于 2025-3-24 03:07:43
http://reply.papertrans.cn/24/2330/232999/232999_15.png等级的上升 发表于 2025-3-24 08:26:32
http://reply.papertrans.cn/24/2330/232999/232999_16.png多余 发表于 2025-3-24 11:25:53
Cerebral Arteriovenous Fistulas, in estimating probabilities and potentially influence their decision making. The main goal of this work was to develop and validate a logistic regression model that would predict the risk of musculoskeletal complaints involving the lumbar region in nurses working at the Health Centres of Northern P狂热文化 发表于 2025-3-24 18:55:22
Embryological and Anatomical Introduction,oing radiation at arbitrary symmetrical levels of a uniform slab has been obtained using the Ambarzumian-Chandrasekhar classical invariance principle. By applying the mirror reflection principle proposed by the author, the unified function and photometrical invariants concept is considered. Based on过时 发表于 2025-3-24 20:28:50
http://reply.papertrans.cn/24/2330/232999/232999_19.pngJunction 发表于 2025-3-25 00:07:49
Cerebral Arteriovenous Malformations,works we use random graphs due to their good applicability, wide facilities and profound elaborating. However, graph optimization problems in conditions of different constraints are NP-hard problems mostly. These problems can be effectively solved by optimization methods based on biological processe