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Functional magnetic materials are used in a wide range of "green" applications, from wind turbines to magnetic refrigeration. Often the magnetic materials used contain expensive and/or scarce elements, making them unsuitable for long term solutions. Further, traditional material discovery is a slow and costly process, which can take over 10 years. Material informatics is a growing field, which combines informatics, machine learning (ML) and high-throughput experiments to rapidly discover new materials. To prove this concept, we have devised a material informatics workflow and demonstrated the core components of natural language processing (NLP) to extract data from research papers to create a functional magnetic material database, machine learning with semi-heuristic models to predict compositions of soft magnetic materials, and high-throughput experimental evaluation using combinatorial sputtering and high-throughput magneto-optic Kerr effect (MOKE) magnetometry. This material informatics workflow provides a quicker, cheaper route to functional magnetic materials discovery. [ABSTRACT FROM AUTHOR]

Brigid M Gillespie,1 Evelyn Kang,1 Shelley Roberts,1 Frances Lin,1,2 Nicola Morley,3 Tracey Finigan,3 Allison Homer,3 Wendy Chaboyer1 1National Health and Medical Research Council Research Centre for Clinical Excellence in Nursing Interventions (NCREN) and Centre for Healthcare Practice Innovation (HPI), Menzies Health Institute, 2School of Nursing and Midwifery, Griffith University, 3Surgical and Procedural Services, Gold Coast University Hospital, Gold Coast, QLD, Australia Purpose: To identify and describe the strategies and processes used by multidisciplinary teams of health care professionals to reduce surgical site infections (SSIs).Materials and methods: An integrative review of the research literature was undertaken. Searches were conducted in April 2015. Following review of the included studies, data were abstracted using summary tables and the methodological quality of each study assessed using the Standards for Quality Improvement Reporting Excellence guidelines by two reviewers. Discrepancies were dealt with through consensus. Inductive content analysis was used to identify and describe the strategies/processes used by multidisciplinary health care teams to prevent SSI.Results and discussion: In total, 13 studies met the inclusion criteria. Of these, 12 studies used quantitative methods, while a single study used qualitative interviews. The majority of the studies were conducted in North America. All quantitative studies evaluated multifaceted quality-improvement interventions aimed at preventing SSI in patients undergoing surgery. Across the 13 studies reviewed, the following multidisciplinary team-based approaches were enacted: using a bundled approach, sharing responsibility, and, adhering to best practice. The majority of studies described team collaborations that were circumscribed by role. None of the reviewed studies used strategies that included the input of allied health professionals or patient participation in SSI prevention.Conclusion: Patient-centered interventions aimed at increasing patient participation in SSI prevention and evaluating the contributions of allied health professionals in team-based SSI prevention requires future research. Keywords: health care team, interprofessional, multidisciplinary, surgical wound, wound infection

Cost-effective and controllable synthesis of M0.25Ni0.15Cu0.25Co0.35Fe2O4 (M2+ = Mg2+, Mn2+, and Cd2+) ferrites via the sol–gel auto-combustion technique. The impact of divalent cations on the structural, dielectric, and optoelectrical properties of ferrites was examined by XRD, FTIR, Raman, LCR, UV–Vis, and two probe I-V measurement techniques. The crystallite size was 52.66 nm, and the minimum specific surface area was observed 5.1507 m2/g for Mg2+ doped NCCF ferrite. The FTIR and Raman analysis also confirmed the substitution of divalent cations (M2+ = Mg2+, Mn2+, and Cd2+) at their respective lattice sites. The maximum energy bandgap was 1.67 eV Mg2+-doped NCCF ferrite as compared to other divalent ion-doped ferrites. The dielectric loss decreased while the ac conductivity increased with increasing frequency, and the minimum values were observed for Mg2+-doped NCCF ferrite. The activation energy was observed maximum for Mg2+-doped NCCF ferrite (0.2234 eV). Due to incredible properties including small specific surface area, large energy band gap, high resistivity, and loss dielectric loss of Mg2+-doped NCCF ferrite have potential applications in different fields. [ABSTRACT FROM AUTHOR]

Cadmium ferrites belong to normal spinel ferrites, and they exhibit interesting electrical, magnetic, and optical properties. The pure and cerium-doped cadmium ferrites CdFe2−xCexO4 (x = 0.0, 0.125, 0.250, 0.375, 0.5) were synthesized by a chemical co-precipitating technique using sodium hydroxide as a co-precipitating agent. The structures and phase purity of fabricated nanomaterials were analyzed by X-ray diffraction (XRD). The crystallite size for all the prepared nanomaterials was in the range of 28–46 nm. The lattice constant and unit cell volume were found to decrease with the increasing concentration of Cerium, which was confirmed by the peak shift in the XRD pattern. The X-ray density for all nano ferrites increased with the enhancement of cerium composition. The resistivity of the nanomaterials has random behavior with the enhancement of cerium composition for a temperature, but the value of resistivity at x = 0.125 has the lowest value and at x = 0.375 has the highest value for almost all temperatures. For specific concentrations, a decreasing trend of resistivity of fabricated materials was found with an increment of temperature. The activation energies were also calculated, and it increased for x = 0.125 and then decreased for all the nanomaterials. For the confirmation of the M–O bonds, FTIR analysis of all the nano ferrites was also performed. The analysis shows a higher frequency absorption band in the range of 531.24–534.84 cm−1. This absorption band confirms that metal oxides are formed in all the synthesized nanoparticles. [ABSTRACT FROM AUTHOR]