COLOR IV: a multicenter randomized clinical trial comparing intracorporeal and extracorporeal ileocolic anastomosis after laparoscopic right colectomy for colon cancer.

Introduction: Right-sided colon cancer is a prevalent malignancy. The standard surgical treatment for this condition is laparoscopic right hemicolectomy, with ileocolic anastomosis being a crucial step in the procedure. Recently, intracorporeal ileocolic anastomosis has garnered attention for its minimally invasive benefits.

Exploring the structural, elastic, electronic and thermal properties of Ti-Al-Me (Me = Cu, Fe and Ni) alloys by first-principles studies.

The welding of titanium alloys is an important topic in today's industrial field, and the interaction between the solder and the base material is crucial for the quality of the welded parts. The structural, elastic, electronic, and thermal properties of Ti-Al-Me (Me = Cu, Fe and Ni) alloys (TAMs) with the face-centered cubic structures were investigated using plane-wave pseudo potential method in the framework of density functional theory. Based on the calculated elastic constants combined with empirical and semi-empirical formulas, physical properties including ductility/brittleness, hardness and anisotropy were calculated.

A new perspective on bone development in vitamin D deficiency-associated obese children.

Vitamin D is crucial for maintaining bone health and development, and bone mineral accumulation during childhood and adolescence affects long-term bone health. Vitamin D deficiency has been widely recognized as one of the main causes of osteoporosis and fractures, especially during the growth and development stage of children. Recent studies have shown that vitamin D deficiency may affect the deviation of bone development in children by mediating lipid metabolism disorders, but its specific mechanism of action has not been fully elucidated.

A dual-adaptive stochastic reinforcement chimp optimization algorithm for fire detection and multidimensional problem solving.

Chimp optimization algorithm (CHOA) is a recently developed nature-inspired technique that mimics the swarm intelligence of chimpanzee colonies. However, the original CHOA suffers from slow convergence and a tendency to reach local optima when dealing with multidimensional problems. To address these limitations, we propose TASR-CHOA, a twofold adaptive stochastic reinforced variant.

A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems.

Spectrum sensing is a key technology and prerequisite for Transform Domain Communication Systems (TDCS). The traditional approach typically involves selecting a working sub-band and maintaining it without further changes, with spectrum sensing being conducted periodically. However, this approach presents two main issues: on the one hand, if the selected working band has few idle channels, TDCS devices are unable to flexibly switch sub-bands, leading to reduced performance; on the other hand, periodic sensing consumes time and energy, limiting TDCS's transmission efficiency.