Search

The Rapid Cycle Deliberate Practice (RCDP) simulation during neonatal resuscitation program (NRP) training provides in-event feedback for each simulation step, repeats the simulation from the beginning, and undergoes a continuous improvement process. It also offers after-event debriefing that involves follow-up discussion and reflection after completing simulations. These two methods differ in the timing and frequency of feedback application, and there may be differences in the effectiveness of neonatal resuscitation training. A quasi-experimental simulation study with a pre- and post-test design was used; the experimental group received RCDP simulation NRP training, based on the self-determination theory, while the control group received an after-event debriefing, following the NRP scenario. The experimental group displayed significantly improved clinical decision-making skills compared with the control group. When responding to emergencies involving high-risk newborns, we found that RCDP simulation during NRP training and better preparation for neonatal resuscitation among nursing students improved outcomes for newborns.

Background: Clinical acupuncture decisions are highly operator-dependent and require physician-patient interactions. The Delphi method allows subjective factors such as expert experience and preference of patients to be taken into account in clinical decision making, which is particularly applicable to acupuncture. Currently, the Delphi method is widely used to support clinical decisions in acupuncture. Therefore, it is necessary to provide high-quality and complete descriptions of the Delphi process when making clinical decisions. This study aims to evaluate the quality of the Delphi process in acupuncture, facilitate its standardization and rigor for further clinical decision making in acupuncture. Methods: Articles sourced from six databases were searched systematically to assess the quality of the Delphi consensus process based on the standards for conducting and reporting Delphi studies (CREDES). Descriptive statistics and analysis were presented according to the percentage of each item. Five-score Likert scale was used to evaluate the reporting quality of four domains as well as each item in CREDES by two independent researchers, combined with ICC-value to assess the consistency. Results: A total of 37 qualified articles were included according to eligibility criteria. As for the low reporting rate, the item "External validation" was reported as the lowest positive rate at 32.43% and the item "Prevention of bias" was 48.65%. The item "Adequacy of conclusions", "Definition and attainment of consensus", and "Discussion of limitations" were reported at a positive ratio of 62.16%, 64.86%, and 67.57% individually. The average scores of the four domains based on CREDES from highest to lowest were, respectively, as follows: planning and design (68.75%), reporting (66.07%), rationale for the choice of the Delphi technique (65.54%), study conduct (45.10%). Conclusion: The reporting quality of the Delphi consensus process in acupuncture is acceptable currently, but the reporting rate on some items is still low. Further standardization, including either clearer checklists or study reports, should be developed and strengthened to guide clinical decisions in acupuncture. [ABSTRACT FROM AUTHOR]

SCADE synchronization language is a common programming language for embedded system.It is often used to realize real-time embedded automatic control system in the research of equipment in aviation,aerospace,transportation and other safety critical fields.SCADE synchronization language is derived from the Lustre language,which adds more language structure to simplify source code.However,compared with Lustre language,the development of model checking technology of SCADE synchronous language is relatively backward.In this paper,we introduce a method and suite for model checking of SCADE programs.The core idea of the method is based on program transformation,that is,the SCADE program is finally transformed into equivalent Lustre program after lexical analysis,syntax analysis,abstract syntax tree generation,simplification,and then use JKind to complete the model checking.Moreover,we prove the correctness of the suite's model checking result by theoretical deduction and a large number of experiments.Experimental results show that the SCADE and Lustre programs with the same function produce the same model checking results,but the efficiency of SCADE is lower.

Silver sulfide in monoclinic phase (α-Ag2S) has attracted significant attention owing to its metal-like ductility and promising thermoelectric properties near room temperature. However, first-principles studies on this material by density functional theory calculations have been challenging as both the symmetry and atomic structure of α-Ag2S predicted from such calculations are inconsistent with experimental findings. Here, we propose that a dynamical approach is imperative for correctly describing the structure of α-Ag2S. The approach is based on a combination of ab initio molecular dynamics simulation and deliberately chosen density functional considering both proper treatment of the van der Waals interaction and on-site Coulomb interaction. The obtained lattice parameters and atomic site occupations of α-Ag2S are in good agreement with experimental data. A stable phonon spectrum at room temperature can be obtained from this structure, which also yields a bandgap in accord with experimental measurements. The dynamical approach thus paves the way for studying this important ductile semiconductor in not only thermoelectric but also optoelectronic applications. [ABSTRACT FROM AUTHOR]

Solid-state electrolytes (SSEs) have brought significant advancements to secondary battery technology, but phosphides remain relatively unexplored compared to the extensively studied oxides, sulfides, and halides. In this study, we introduce a hierarchical approach for designing a Na-rich phosphide SSE. Starting with Na3P, one of the most Na-rich materials, we apply the concept of dilute element compounds, incorporating a small amount of a dopant element to preserve its Na-richness. This leads us to identify Na7TaP4 as a promising candidate. Subsequently, through phase engineering utilizing the inorganic crystal structure database, we pinpoint a superior phase for Na7TaP4 that exhibits significantly enhanced Na diffusion kinetics. Lastly, employing defect engineering, we determine that partial substitution of Ta with Zr or Hf can stabilize Na7TaP4 in the desired phase over the experimentally synthesized phase. This hierarchical approach not only reduces the Na diffusion activation energy of the initial material Na3P from 0.67 to 0.25 eV but also increases its band gap from 1.0 to 2.4 eV. These advancements show considerable promise for SSE applications. Furthermore, this design strategy is expected to find broad applicability in the development of SSEs for various types of secondary batteries. [ABSTRACT FROM AUTHOR]

Opportunities fomr clinical training in the newborn nursery and neonatal intensive care units (NICU) are becoming insufficient and limited to observation-oriented training. Premature infants admitted to the NICU require specialized and highly sophisticated care. Therefore, this descriptive cross-sectional study aimed to understand nurses’ educational needs for establishing a high-risk premature infant nursing simulation training program. It used a descriptive cross-sectional design. We conducted a survey involving 99 newborn nursery and NICU nurses; data were analyzed using descriptive statistics, a paired t-test, an Importance-Performance Analysis (IPA), a Borich needs analysis, and the locus for focus to confirm educational priorities. The scores indicating the importance of nursing high-risk premature infants were higher than those of performance. Results indicated that the highest educational need was in the “treatment and procedure” domain. After deriving the priority of educational needs using the Borich needs analysis and the locus for focus, “maintenance of various tubes” showed the highest priority. By identifying the training priorities for high-risk premature infants nursing using various analytical frameworks, an extended reality simulation program met nurses’ high-risk premature infant nursing educational needs. Training for high-risk premature infants treatment and procedures—maintaining various tubes—is highly demanded by nurses and should be prioritized.

Zinc halides have been less explored even though they are a promising lead‐free family with the merits of environmental friendliness and low cost. Here, the organic–inorganic hybrid zinc halides are screened with aromatic molecules containing amino groups (MXDA: m‐Xylylenediamine, ABI: 2‐Aminobenzimidazole, pipda: 2‐piperidylmethylamine, p‐MPEA: p‐Methylphenethylamine), and six new compounds are discovered: (MXDA)ZnCl4 (1), (ABI)2ZnCl4 (2), (pipda)2H2OZnCl2 (3), [(pipda)4Zn2Br4]·H2O (4), (p‐MPEA)2ZnCl4 (5), and (p‐MPEA)2ZnBr4 (6). The discovered compounds exhibit diverse efficient light emissions (blue, green, yellow, and ultraviolet) under ultraviolet light irradiation. By doping Sb and Mn at the Zn site, (MXDA)ZnCl4 exhibits different colors of light under excitation light of different wavelengths, so it is successfully used for anti‐counterfeiting. (MXDA)Zn0.91Mn0.09Cl4 is also found to be an efficient X‐ray scintillator for X‐ray imaging. Among the as‐explored new phases, a maximum photoluminescent quantum yield of 82.60% is realized, enabling the utilization for white light‐emitting diodes. The results suggest that the zinc halides are a new lead‐free family with superior optoelectronic properties, which can be used for multiple applications. [ABSTRACT FROM AUTHOR]

Defect formation energy governs the thermodynamics of a specific dopant within the host material. Here, we introduce an approach to decomposing the defect formation energy into intuitive components, each representing a distinct physical step in the process of defect formation. Through this approach, we illustrate that adhering solely to conventional criteria, such as ionic radius, may overlook potential dopants. Taking β-FeSi2, a promising high-temperature thermoelectric material, as an example, we demonstrate that non-intuitive chemical interactions can play a more significant role in lowering the defect formation energy. As a result, Ir on Fe site is found to exhibit unexpected low defect formation energy among the 26 candidate dopants and has been employed in experiment to enhance the thermoelectric figure of merit of n-type β-FeSi2. The understanding gained from this work could be of general interest for addressing the doping limit issue for other potential thermoelectric materials. [ABSTRACT FROM AUTHOR]

Lithium (Li) incorporation in many metal oxides can form a disordered rock-salt (DRS) structure. Such Li-containing oxides are widely employed as high energy density electrode materials in Li-ion batteries. Here, we show that the atomic structures of these DRS oxides can only be correctly understood by using dynamical statistics. Taking LixV2O5 (3 ≤ x ≤ 5) as an example of Li-excess DRS materials, using first-principles molecular dynamics simulations assisted with machine-learning potentials, we show that the Li ions mostly occupy the octahedral sites and only the excess Li ions occupy the tetrahedral sites, which is different from the Li ion redistribution mechanism proposed previously based on the static statistics. Our study shows that when x > 3 the Li ions at the octahedral sites tend to be off center, benefiting their diffusion. Moreover, when x = 5 the volume expansion is found to be as high as 20%, significantly higher than the previously reported value of 5.9%, suggesting that the actual capacity of Li3V2O5 as an anode material might be significantly overestimated. [ABSTRACT FROM AUTHOR]