NiFe/NiFeO heterojunction engineering and vanadium promoter synergetically accelerating urea degradation.

Urea oxidation reaction (UOR) is significant in reducing hydrogen production energy consumption and treating urea wastewater, necessitating the development of efficient UOR electrocatalysts. Herein, we develop a vanadium (V)-doped NiFe/NiFeO heterojunction (V-NiFe/NiFeO), wherein the combined effect of V doping and the heterojunction architecture improve the material's conductivity, facilitate electron transfer, and optimize the electronic structure of active sites. Consequently, the V-NiFe/NiFeO electrocatalyst requires a potential of only 1.

Amorphization engineering of Ni-cysteine coordination composition for urea electro-oxidation at large current density.

Unavoidable oxygen evolution reaction (OER) and the relatively high potential to form real active sites of Ni species severely decrease the efficiency of urea-assisted hydrogen generation facility. Herein, amorphization Ni-cysteine coordination (aNi-cys) is constructed as efficient urea electro-oxidation reaction (UOR) catalyst with highly capable of suppressing competitive OER and promoting the Ni to Ni in-situ electrochemical configuration through deliberately regulating the Ni/l-cysteine coordination environment. The abundant ligand atoms (N, S, and O) of l-cysteine considerably tuned the Ni electronic structure to the most suitable state while the amorphization thin lamellas increased the exposed active sites and befitting for the access of electrolyte to electrode surface, resulting improved UOR activity with a large peak current density of 263 mA cm, far exceeding crystalline Ni-cysteine coordination (cNi-cys) and long-term stability for 50 h working.

An optimization algorithm for maximum quasi-clique problem based on information feedback model.

The maximum clique problem in graph theory is a well-known challenge that involves identifying the complete subgraph with the highest number of nodes in a given graph, which is a problem that is hard for nondeterministic polynomial time (NP-hard problem). While finding the exact application of the maximum clique problem in the real world is difficult, the relaxed clique model quasi-clique has emerged and is widely applied in fields such as bioinformatics and social network analysis. This study focuses on the maximum quasi-clique problem and introduces two algorithms, NF1 and NR1.

Postoperative Antiosteoporotic Treatment with Zoledronic Acid Improves Rotator Cuff Healing but Does Not Improve Outcomes in Female Patients with Postmenopausal Osteoporosis: A Prospective, Single-Blinded, Randomized Study.

Purpose: To investigate the effect of the antiosteoporotic agent zoledronic acid (ZA) on rotator cuff healing and clinical outcomes in patients with postmenopausal osteoporosis.

Methods: We prospectively enrolled 138 female patients with postmenopausal osteoporosis who were scheduled to undergo arthroscopic rotator cuff repair (ARCR) from March 2020 to March 2021. Patients were randomly allocated to the ZA group (ARCR followed by intravenous ZA infusions at postoperative Day 1 and 1 year later) and the control group (ARCR alone).

A Simple Algorithm for Population Classification.

A single-nucleotide polymorphism (SNP) is a variation in the DNA sequence that occurs when a single nucleotide in the genome differs across members of the same species. Variations in the DNA sequences of humans are associated with human diseases. This makes SNPs as a key to open up the door of personalized medicine.