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Comprehensive Summary: Duration‐tunable afterglow materials have garnered considerable attention in various applications. Herein, carbon dots (CDs)‐based long persistent luminescence (LPL) composites with a tunable duration in an ultrawide range of seconds‐to‐hours levels were designed and prepared for the first time. In contrast to the established CD‐based afterglow materials, we reported that CD‐based composites exhibit LPL in the form of exciplexes and long‐lived charge‐separated states, enabling the LPL to be prolonged from several seconds to over one hour, exceeding the typical regulation range (limited to 1 min). Further studies revealed that the relationship between the excited and charge‐transfer states of CDs plays a pivotal role in activating the LPL and regulating its duration. Furthermore, these composites exhibited high photoluminescence (PL) quantum yields of up to 60.63%, and their LPL was robust under ambient conditions, even in aqueous media. Their robust and superior LPL performance endows these composites with a strong competitive advantage in dynamic display systems, such as tags for time‐resolved data encryption and displays of the remaining time of takeaways. This study offers an approach to preparing CDs‐based LPL composites with tunable durations and may provide new insights for the development of rare‐earth‐free LPL materials. [ABSTRACT FROM AUTHOR]

Background: Even though monitoring and control enactment are key aspects of self‐regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing learners to enact control over their learning process, seems to hold potential for increasing their motivation. Objectives: Therefore, this study's aim was to investigate the relation between control enactment and motivation. We examined how learners enacted control while learning with an ALT with personalized dashboards and examined the relation between learners' enactment of control and their motivation. Methods: Seventy‐eight primary school learners (Grade 5) participated. During the lesson, learners worked on mathematics in the ALT and concurrently were shown personalized visualizations that supported monitoring and enacting control over their learning process. Learners could enact control to change problems' difficulty to easy, medium, or hard. Motivation was measured before and after learning. Results: The SEM analyses showed that how learners enacted control was related to their motivation. Choosing difficult problems was related to more enjoyment and competence while choosing easy problems related to more pressure and tension. Learners who complied with the suggested difficulty level experienced less choice, but also less pressure/tension and more enjoyment and competence. Conclusions: These results provide avenues to account for broader learner characteristics like SRL and motivation to optimize learning. This way, hybrid systems in which control enactment is a shared responsibility of the system and learner, can be improved to support SRL development. Lay Description: What is currently known: Monitor and control enactment are key aspects of self‐regulated learning (SRL).Adaptive learning technologies may reduce the need for learners to monitor and control their learning.Personalized dashboards support learners' monitoring behaviour and can potentially also support control enactment.Enactment of control could positively affect learners' motivation. What does this paper add: There is a large variation in how learners enact control and whether they comply with the scaffold.Learners who chose more difficult problems experienced more enjoyment, while learners choosing easy problems, experienced more pressure.Learners complied with the scaffold, experienced less choice, but also less pressure and more enjoyment.This study provides avenues to account for broader learner characteristics like SRL and motivation to optimize learning. Practical implications: Support control enactment by actively involve learners in choice during the learning process.Offer monitor and enactment in conjunction, as learners can only make well‐founded choices if they can monitor their learning process.Intrinsically and extrinsically motivated learners showed different choice patterns and learning experience.It is important to have an understanding and monitoring of learners' motivation. [ABSTRACT FROM AUTHOR]

Due to global warming and the disturbance of the interannual variability of precipitation, the frequency of extreme drought events has increased. The impact of global climate change on water resources is becoming increasingly apparent, then it is particularly necessary to explore the carrying capacity of water ecological environment under extreme drought conditions, which can guarantee the ecological water security in river basins. This study takes the Guanzhong area of the Wei River Basin as an example, calculating the water environment carrying capacity of 40 areas in the Weihe Guanzhong area in different levels of years under extreme drought conditions by comprehensive evaluation model of carrying capacity and using geographic information system GIS to display the spatial distribution of water environment carrying capacity in 40 regions. According to the results of the spatial distribution of water environmental bearing capacity, four different schemes are designed to improve the bearing capacity. The first plan reduces the industrial water consumption and irrigation quota by 5%, the second plan increases the industrial water and sewage treatment rate on this basis. the third plan further improves the development and utilization rate of surface and groundwater, and the fourth plan, on the basis of the first three plans, supplies 600 million cubic meters of industrial and agricultural water to Guanzhong region. Through comparative analysis, without taking any measures, under the extreme drought conditions, the water environment carrying capacity of the 40 areas in Guanzhong is all in an unbearable state. Overall, plan 4 has the most significant improvement in the water environment-carrying capacity, especially the Dong zhuang Reservoir of the Jing River which has played a very important role in enhancing the water ecological environment carrying capacity of the downstream water of the Wei River. [ABSTRACT FROM AUTHOR]

Electrochromic devices (ECDs) possess the performance advantages in terms of color adjustability, low power consumption, and visual friendliness, emerging as one of the ideal candidates for energy‐efficient smart windows, next‐generation displays, and wearable electronics. The optical and electrical characteristics of ECDs can be adjusted by modifying the materials or structure of devices. This review summarizes the recent developments of innovative technologies and key materials of ECDs for display applications, highlighting the key issues and development trends in this area. [ABSTRACT FROM AUTHOR]

With the development of the information industry, the wearable three‐dimensional (3D) near‐eye display that can provide complete visual information has attracted increasing attention. Compared with other existing 3D display technologies, the holographic display is a promising true 3D display technology that can fully record and reproduce the original 3D scenes. The ability to present a continuous parallax and depth perception gives holography technology an unprecedented promise in the next‐generation 3D near‐eye display. However, currently available holographic near‐eye display systems can only provide a limited viewing area (including the field of view and eyebox), greatly restricting its practical application. Focusing on the development requirements of large viewing‐area 3D holographic near‐eye display, the reasons are introduced first why the viewing area of current holographic displays is limited and then the existing solutions from different aspects, including multiplexing‐based methods, steering viewing window methods, aperiodic wavefront modulation methods, and some emerging holographic display technologies are summarized. These various solutions are analyzed respectively, and their representative works are investigated. In addition, the different applications of holography in the near‐eye display system are also discussed. Finally, the advantages and disadvantages of these techniques are compared and perspectives are given. [ABSTRACT FROM AUTHOR]

Attaining highly uniform operations in a disordered system presents a persistent challenge. The utilization of ion migration in amorphous materials to trigger the resistive switching process of the material usually results in inferior uniformity of the memristive device. Here, we demonstrate that the resistive switching behavior can be activated through carrier doping in the disorder system, and highly ordered resistance modulation is achieved in Ag-doped albumen. By manipulating the doping level of the carrier, the localization of the free electron wavefunction can be tuned, leading to multi-level variations in resistance. This memristive switching behavior is in all electronic and displays excellent switching uniformity, holding great potential for applications in high-density memories and neuromorphic computing chips. [ABSTRACT FROM AUTHOR]

Introduction: Quantitative research and quality improvement (QI) both seek to improve care provided to patients. However, clinicians often blur the lines between how to appropriately analyze data from these methodologies. Clinicians may inappropriately use statistical analyses for QI initiatives, rather than using run and statistical process control (SPC) charts to analyze improvements in outcomes. Objective: The purpose of this article was to address the analytic methods used for QI initiatives in the clinical setting in an effort to show clinicians how to identify meaningful improvements in clinical practice. Methods: In this article, we provide an example comparing the same evidence-based practice/QI initiative (chlorhexidine gluconate bathing in a medical intensive care unit) using a quasi-experimental pretest/posttest research design with statistical analyses completed with t tests with analyses using run and SPC charts to show the data trended over time. Using a pretest/posttest design, chlorhexidine gluconate bathing compliance improved from 63%to 65%, a nonsignificant change, P = .075. These same data plotted on run and SPC charts, however, show a shift and a trend, indicating clinically significant improvements per QI methodologies. Conclusion: The example in this article highlights the pitfall of relying only on statistical analyses and P values to determine the importance of a clinical project, and provides a practical example for how run or SPC charts can be used to identify improvements over time. [ABSTRACT FROM AUTHOR]

Electrochromic devices have important applications in building energy conservation, next‐generation displaying, and security encryption, while durable and high‐performance electrochromic materials are highly desirable. Herein, a Zn‐based electrochromic smart window by using 3D ordered macroporous amorphous WO3 (a‐WO3) arrays as cathode is reported. Benefiting from a 3D ordered macroporous structure with a high specific surface area that accelerates the ion diffusion and migration, and the oxygen vacancy modulated a‐WO3 providing abundant zinc ion insertion channels, the as‐fabricated zinc‐based a‐WO3 inverse opal (a‐WO3‐IO) device exhibits excellent electrochromic properties, including large light modulation (83% optical contrast at 700 nm), fast response time (5.3 s for coloring and 3.2 s for bleaching), and robust cycling stability. Moreover, a solid‐state a‐WO3‐IO prototype electrochromic smart window is demonstrated for light modulation, electronic display, and power supply. Furthermore, experimental results and theoretical calculations reveal that 3D macroporous amorphous WO3 with rich oxygen vacancies can enhance the zinc ion absorption and diffusion, leading to the enhancement of electrochromic performance. [ABSTRACT FROM AUTHOR]

New crystalline tetranuclear cluster is prepared by the interaction of manganese(II) chloride with calix[4]arene 3 functionalized at the upper rim by distal p-(4-nitrophenyl)diazenyl and p-tert-butyl groups displaying different electronic effects and sizes. The structure of the cluster is studied by single-crystal XRD. Due to the presence of (4-nitrophenyl)diazenyl moieties at the upper rim of the macrocyclic ligand, the molecules of the tetranuclear clusters are involved in π-stacking interactions leading to the formation of 2D supramolecular layers affording a porous crystal packing. [ABSTRACT FROM AUTHOR]

Simple Summary: This interview study delves into the potential of using AI-based clinical decision support systems (CDSSs) during meetings focused on multidisciplinary team meetings (MDTMs) for breast cancer. The goal was to pinpoint the obstacles and to aid in implementing such a system within these meetings. Through 24 interviews with breast cancer team members across three hospitals, key insights emerged. Those involved showed interest in integrating CDSSs into their workflow, foreseeing benefits like enhanced data visualization, time-saving functionalities, and improved documentation. However, concerns lingered around data connectivity, the accuracy of suggestions, and the risk of losing the human touch in decision making. Overall, this research reveals the curiosity among clinicians to explore CDSS benefits but acknowledges the complexity of integrating these systems, offering insights to potentially streamline future implementation processes. Background: AI-driven clinical decision support systems (CDSSs) hold promise for multidisciplinary team meetings (MDTMs). This study aimed to uncover the hurdles and aids in implementing CDSSs during breast cancer MDTMs. Methods: Twenty-four core team members from three hospitals engaged in semi-structured interviews, revealing a collective interest in experiencing CDSS workflows in clinical practice. All interviews were audio recorded, transcribed verbatim and analyzed anonymously. A standardized approach, 'the framework method', was used to create an analytical framework for data analysis, which was performed by two independent researchers. Results: Positive aspects included improved data visualization, time-saving features, automated trial matching, and enhanced documentation transparency. However, challenges emerged, primarily concerning data connectivity, guideline updates, the accuracy of AI-driven suggestions, and the risk of losing human involvement in decision making. Despite the complexities involved in CDSS development and integration, clinicians demonstrated enthusiasm to explore its potential benefits. Conclusions: Acknowledging the multifaceted nature of this challenge, insights into the barriers and facilitators identified in this study offer a potential roadmap for smoother future implementations. Understanding these factors could pave the way for more effective utilization of CDSSs in breast cancer MDTMs, enhancing patient care through informed decision making. [ABSTRACT FROM AUTHOR]

In the pursuit of highly active electrocatalysts is crucial to overcome the sluggish kinetics of oxygen evolution reaction (OER). Herein, Fe–CoS 2 /carbon nanotubes anchored on carbon polyhedron (Fe–CoS 2 /CNT CPs) is prepared by using zeolitic imidazolate framework-8@zeolitic imidazolate framework-67 (ZIF-8@ZIF-67) as template. A series of analysis demonstrates the incorporation of Fe via wrapped Fe-EDTA can exert charge transfer between Co and Fe and optimize the adsorption of targeted intermediates, which favors for enhanced OER performance. Moreover, the catalytic effect of Co and Fe not only promotes the growth of carbon nanotubes but also enhances the degree of graphitization. The carbon skeletons embedded with carbon nanotubes derived from ZIF-8@ZIF-67 offer high specific surface area and strengthen the electrical conductivity of Fe–CoS 2 /CNT CPs. Therefore, compared with its counterpart and commercial RuO 2 , the designed Fe–CoS 2 /CNT CPs with regulated electronic structure displays the lowest overpotential of 293 mV at the current density of 10 mA cm−2 in 1.0 M KOH solution for OER. This work explores a facile strategy for manipulate electronic structure and electrical conductivity of metal-organic frameworks derived catalysts simultaneously for robust OER electrocatalysts. • Fe–CoS 2 /CNT CPs is prepared by template assisted method. • The catalytic effect of Co and Fe facilitates the growth of carbon nanotubes. • The charge transfer between Co and Fe optimizes the adsorption of intermediates. • Carbon nanotubes along with carbon skeleton offer electron transport channels. • Fe–CoS 2 /CNT CPs exhibits superior OER activity with the overpotential of 293 mV. [ABSTRACT FROM AUTHOR]

Perception in virtual reality is often compared to the perception of pictures. There are, however, important differences. A virtual reality environment, unlike a picture, is interactive and immersive. These properties give rise to novel theoretical challenges. Building on James J. Gibson's analysis of the perception of depictions, we raise three questions about perception in virtual reality, to which we offer tentative answers: (1) Is virtual reality a kind of picture perception? Answer: No. A virtual reality headset is better understood not as an image-based display but as a pair of electronic spectacles that allow the wearer to sample a simulated ambient optic array. (2) Who creates the information in virtual reality? Answer: The information is a joint creation of hardware developers, software engineers, and the observer. The observer is a co-creator of the information that they detect. (3) Are there affordances in virtual reality? Answer: Yes, but there are limitations on what a given virtual reality environment can provide to its users, resulting from the details of how the environment is implemented. An accurate understanding of the perceptual information available in virtual reality may contribute to current philosophical debates on the nature of experience in virtual reality. [ABSTRACT FROM AUTHOR]

BACKGROUND: The monitoring of fetal heart rate (FHR) before intrapartum has been crucial in modern obstetrics. FHR has been used for about 300 years to determine fetal status, leading to the development of monitoring devices to prevent fetal death during gestation. While medical devices like fetal electrocardiograms exist for disease detection, their size and cost limit individual use. OBJECTIVE: To address cardiovascular issues during pregnancy, a mobile system is developed to display heart rates and blood pressure on mobile devices. The system is generated from a medical device with Bluetooth communication, supplementing traditional monitoring. METHOD: The study focuses on creating a mobile system that connects to mobile operating systems, enhancing treatment, diagnosis, and patient monitoring. The mobile system displays cardiovascular data obtained from the medical device. RESULTS: The results are expected to have an immediate impact on cases where abnormal measurement parameters of the monitoring system occur during pregnancy. The use of mobile systems or applications on smartphones is seen as beneficial in distributing processing and census of embedded health systems. CONCLUSION: The study highlights the potential benefits of mobile systems in distributing processing for health systems, particularly in addressing cardiovascular problems during pregnancy. The creation of a mobile system for displaying cardiovascular data could significantly improve monitoring and early detection. [ABSTRACT FROM AUTHOR]

Part 1 of the AMEE Guide Online learning in health professions education focused on foundational concepts such as theory, methods, and instructional design in online learning. Part 2 builds upon Part 1, introducing technology tools and applications of these foundational concepts by exploring the various levels (from beginner to advanced) of utilisation, while describing how their usage can transform Health Professions Education. This Part covers Learning Management Systems, infographics, podcasting, videos, websites, social media, online discussion forums, simulation, virtual patients, extended and virtual reality. Intertwined are other topics, such as online small group teaching, game-based learning, FOAM, online social and collaboration learning, and virtual care teaching. We end by discussing digital scholarship and emerging technologies. Combined with Part 1, the overall aim of Part 2 is to produce a comprehensive overview to help guide effective use online learning in Health Professions Education. [ABSTRACT FROM AUTHOR]

Visual misinformation poses unique challenges to public health due to its potential for persuasiveness and rapid spread on social media. In this article, librarians at the University of Pittsburgh Health Sciences Library System identify four types of visual health misinformation: misleading graphs and charts, out of context visuals, image manipulation in scientific publications, and AI-generated images and videos. To educate our campus's health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation. We describe our strategies and provide suggestions for implementing visual misinformation programming for a variety of audiences. [ABSTRACT FROM AUTHOR]

The Generalized Overview of the NIH Data Management and Sharing Policy Effective 2023.01.15 (Generalized Overview) is an instructional material that provides a basic, clear, and linear understanding of the NIH policy and its requirements. While not developing or utilizing new technology, the Generalized Overview is innovative and notable for creatively using a freely available graphic design tool to translate government policy language into an accessible and understandable infographic that can disseminate important information about the NIH DMS Policy needed by researchers and by those who support them. Shared via a Creative Commons license, others may fully adapt the infographic or may simply add their own institutional contact information. The Generalized Overview can be used by any who find themselves responsible for publicizing and/or teaching the NIH Data Management and Sharing Policy at their respective libraries and institutions. It is intended for educational purposes only and should not be used as a substitute for official guidance from the NIH. [ABSTRACT FROM AUTHOR]

A materials scientist named Frank Mücklich has won the Albert Keil Prize for his work in improving the reliability of electrical contacts in cars. Mücklich developed a laser surface texturing procedure that makes the surfaces of electrical contacts more stable and efficient, reducing electrical contact resistance by up to 80%. This is significant for the reliability and safety of autonomous vehicles and the transition to more sustainable forms of energy. In other news, Oxford Instruments has launched the Oxford Instruments Innovation Center, a facility that showcases the company's analytical innovations and provides training and collaboration opportunities for scientists and researchers. Additionally, Sherwin-Williams has introduced the Heat-Flex 7000 thermal insulative coating system, which offers personnel protection, insulating capabilities, and solar heat reflectivity for industrial applications. The single-component, spray-applied coating system eliminates the need for conventional insulation and cladding systems, reducing costs and the risk of corrosion under insulation. [Extracted from the article]

Nowadays, data visualizations are an intrinsic element of decision-making processes. But they can also lead us to wrong conclusions under different circumstances: lack of data visualization expertise, lack of domain knowledge, biases, polarization, backgrounds, etc. In this sense, it is important to consider potential drawbacks during the design and development processes of these tools and address them before delivering the final product to the user. Following this idea, this work describes the results obtained from the analysis of two focus groups (with different backgrounds and expertise) about data visualizations to validate a previously developed dashboard meta-model and analyze the differences between the two groups regarding the interpretation and thoughts on these tools. The results show differences between the discourses of the two groups, and the analysis of the interventions proves that the meta-model is robust and captures the most relevant elements of data visualizations and information dashboards. • Expertise affects data visualization interpretation; experts focused on technical aspects, Ph.D. students on context. • High-level elements like "visualization" and "audience" are key in interpretation; "context" and "bias" are crucial too. • Visual literacy is vital for effective data visualization interpretation, needing educational focus. • A previously developed dashboard meta-model was validated as comprehensive for data visualization design. • The meta-model encourages holistic design, balancing technical accuracy and contextual information. [ABSTRACT FROM AUTHOR]

Graphene displays extraordinary electronic, optical, and mechanical properties, generating substantial scientific interest and presenting vast potential across various applications. Raman spectroscopy is a versatile tool for identifying and characterizing the chemical and physical properties of newly discovered carbon-based materials like graphene, carbon nanotubes, and their artificial lattices. The Raman-active vibrational modes of graphene-related materials are sensitive to structural, electrical, and interfacial modifications. This sensitivity allows Raman spectroscopy to effectively study the interaction between graphene and other materials, such as molecules and bio-related samples, towards biosensing applications. This review summarizes the recent advances in Raman spectroscopy applied to graphene and its related materials, encompassing perspectives from fundamental research to practical applications, especially bio-related applications. • Raman spectroscopy is a versatile tool to characterize graphene and its derivatives. • The Raman modes of graphene are sensitive to material modifications. • This sensitivity makes Raman spectroscopy a useful tool for biosensing. [ABSTRACT FROM AUTHOR]