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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]

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]

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]

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]

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]

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]

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]

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]

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]

Electronic navigational charts (ENCs) are geospatial databases compiled in strict accordance with the technical specifications of the International Hydrographic Organization (IHO). Electronic Chart Display and Information System (ECDIS) is a Geographic Information System (GIS) operated by ENCs for real-time navigation at sea, which is one of the key technologies for intelligent ships to realize autonomous navigation, intelligent decision-making, and other functions. Facing the urgent demand for high-precision and real-time nautical chart products for polar navigation under the new situation, the projection of ENCs for polar navigation is systematically analyzed in this paper. Based on the theory of complex functions, we derive direct transformations of Mercator projection, polar Gauss-Krüger projection, and polar stereographic projection. A rational set of dynamic projection options oriented towards polar navigation is proposed with reference to existing specifications for the compilation of the ENCs. From the perspective of nautical users, rather than the GIS expert or professional cartographer, an ENCs visualization idea based on multithread-double buffering is integrated into Polar Region Electronic Navigational Charts software, which effectively solves the problem of large projection distortion in polar navigation applications. Taking the CGCS2000 reference ellipsoid as an example, the numerical analysis shows that the length distortion of the Mercator projection is less than 10% in the region up to 74°, but it is more than 80% at very high latitudes. The maximum distortion of the polar Gauss-Krüger projection does not exceed 10%. The degree of distortion of the polar stereographic projection is less than 1% above 79°. In addition, the computational errors of the direct conversion formulas do not exceed 1 0 − 9 m throughout the Arctic range. From the point of view of the computational efficiency of the direct conversion model, it takes no more than 0.1 s to compute nearly 8 million points at 1 ′ × 1 ′ resolution, which fully meets the demand for real-time nautical chart products under information technology conditions. [ABSTRACT FROM AUTHOR]

BACKGROUND: Police Tactical Groups (PTGs) are specialist police units tasked with rigorous physical and psychosocial duties. Consequently, selection courses (SCs) for service in these units must also be rigorous. Given the intensity of SCs, holistic monitoring for potential overstress may be beneficial. Heart Rate Variability (HRV) is one holistic stress measure that can be obtained in austere environments. OBJECTIVE: The purpose of this study was to profile HRV during a PTG SC. Six (n = 6) qualified male police officers attempted a 36-hour PTG selection course held at an Australian state facility. METHODS: HRV was obtained from Equivitaltrademark EQ02 + LifeMonitor bioharnesses. The selection course consisted of physically demanding events with minimal sleep (approx. 45 mins). Only one candidate completed the full selection course; whose results are reported here. RESULTS: A visual time-series of 384 consecutive 5 min HRV analyses was generated. Contextual analysis was applied to appreciate HRV changes between SC serials. HRV decline occurred during the planning of a navigation exercise and a pack march. Increases in HRV were observed throughout the pack march exercise and rest period. CONCLUSION: This case study demonstrates the potential utility for selection personnel to obtain additional insight into candidate responses to various occupational challenges throughout an SC. Information provided by HRV monitoring may support leadership decisions when evaluating personnel holistically. For example, the ability to continue occupational task execution even while experiencing potential overstress (as measured by HRV) and after food and sleep deprivation is desirable. HRV may potentially inform stakeholders regarding overstress in PTG candidates. [ABSTRACT FROM AUTHOR]

Background: Dashboards visually display quality and safety data to aid nurses in making informed decisions. Purpose: This systematic review evaluated quality improvement (QI) dashboard characteristics associated with interventions to improve patient outcomes and positive end-user evaluation. Methods: Literature was searched from 2012 to 2022 in PubMed, CINAHL, Scopus, MEDLINE, and Google Scholar. Results: Sixteen articles were included. Varied dashboard characteristics were noted, with mixed patient outcomes and end-user responses. Graphs and tabular presentations were associated with improved patient outcomes, whereas graphs were associated with end-user satisfaction. Benchmarks were noted with improved patient outcomes but not end-user satisfaction. Interactive dashboards were important for end users and improved patient outcomes. Conclusion: Nurses can find dashboards helpful in guiding QI projects. Dashboards may include graphs and/or tables, benchmarks, and interactivity but should be useful, usable, and aligned to unit needs. Future research should focus on the use of quality dashboards in nursing practice. [ABSTRACT FROM AUTHOR]

Let us consider the following scenario: A human is working with a corpus of text documents. In this corpus, the human needs to know documents with similar content and highlight relevant locations in the retrieved documents. An information system displaying the contents of the corpus and providing an information retrieval agent will help the human. To perform information retrieval on the corpus, the agent used internally in the information system may need additional data associated with the documents. In order to support this, the so-called Subjective Content Descriptions (SCDs) provide additional location-specific data for text documents. SCDs are subjective in the sense that the agent associates data with sentences to reflect the beliefs of users. In our scenario, the agent needs SCDs referencing sentences of similar content across various documents in the corpus and most text documents are not associated with SCDs. Therefore, this paper presents UESM, the Unsupervised Estimator for SCD Matrices, an approach to associate any corpus with SCDs. In an evaluation, we show that the performance of UESM in estimating topics of similar content in the corpus is on par with Latent Dirichlet Allocation, while UESM provides the SCDs referencing sentences of similar content. [ABSTRACT FROM AUTHOR]

The mura defects of thin film transistor-liquid crystal display (TFT-LCD) panels have low contrast and random locations, which makes it impossible for us to correctly evaluate the number and type of mura defects on the image in the field inspection. In response to the above problems, this paper proposes a lightweight YOLO-ADPAM detection method based on an attention mechanism. First, we designed a K-means-ciou++ clustering algorithm using the Complete-Intersection-Over-Union loss function to cluster the anchor box size of the display defect dataset, making the bounding box regression more accurate and stable and improving the recognition and positioning accuracy of the algorithm. Second, we design a parallel attention module, combining the advantages of the channel and spatial attention mechanisms to effectively extract helpful information from feature maps. The channel attention branch can compensate for the defect information lost by global average pooling to a certain extent, and selecting a larger convolution kernel in the spatial attention branch is beneficial to retain crucial spatial information. Third, using atrous spatial pyramid pooling and depthwise separable convolution in the Neck network can further improve the receptive field of the feature map and improve the detection accuracy of the network. The experimental results show that the mAP of our proposed YOLO-ADPAM algorithm in TFT-LCD defect detection reaches 98.20%, and the detection speed reaches 83.23 FPS, which meets the detection accuracy and real-time requirements of TFT-LCD defect detection tasks. [ABSTRACT FROM AUTHOR]

The recent progress on the liquid crystalline (LC) dispersion of two‐dimensional (2D) transition metal carbides (MXenes) has propelled this unique nanomaterial into a realm of high‐performance architectures, such as films and fibers. Additionally, compared to architectures made from typical non‐LC dispersions, those derived from LC MXene possess tunable ion transport routes and enhanced conductivity and physical properties, demonstrating great potential for a wide range of applications, such as electronic displays, smart glasses, and thermal camouflage devices. This review provides an overview of the progress achieved in the production and processing of LC MXenes, including critical discussions on satisfying the required conditions for LC formation. It also highlights how acquiring LC MXenes has broadened the current solution‐based manufacturing paradigm of MXene‐based architectures, resulting in unprecedented performances in their conventional applications (e.g., energy storage and strain sensing) and in their emerging uses (e.g., tribology). Opportunities for innovation and foreseen challenges are also discussed, offering future research directions on how to further benefit from the exciting potential of LC MXenes with the aim of promoting their widespread use in designing and manufacturing advanced materials and applications. [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]

Flat panel displays are electronic displays that are thin and lightweight, making them ideal for use in a wide range of applications, from televisions and computer monitors to mobile devices and digital signage. The Thin-Film Transistor (TFT) layer is responsible for controlling the amount of light that passes through each pixel and is located behind the liquid crystal layer, enabling precise image control and high-quality display. As one of the important parameters to evaluate the display performance, the faster response time provides more frames in a second, which benefits many high-end applications, such as applications for playing games and watching movies. To further improve the response time, the single-pixel charging efficiency is investigated in this paper by optimizing the TFT dimensions in gate driver circuits in active-matrix liquid crystal displays. The accurate circuit simulation model is developed to minimize the signal's fall time ( T f ) by optimizing the TFT width-to-length ratio. Our results show that using a driving TFT width of 6790 μ m and a reset TFT width of 640 μ m resulted in a minimum T f of 2.6572 μ s , corresponding to a maximum pixel charging ratio of 90.61275%. These findings demonstrate the effectiveness of our optimization strategy in enhancing pixel charging efficiency and improving display performance. [ABSTRACT FROM AUTHOR]

The electronic offer shares with the offer the general conditions specified as follows: This offer must be absolute and final, expressing the will of one of the contracting parties to contract, as a result of which the intended contract is concluded once it is accepted by the other contracting party. It is also required that it be clear and specify the basic terms of the contract. An electronic offer is distinguished from an offer in that it includes some data regarding the offeror and the subject of the contract, as specified in Chapter 65-4 of Law 53-05 in its first paragraph: "Everyone who proposes, in a professional capacity and in an electronic manner, must supply goods, provide services, or transfer assets commercial or one of its elements, to make available to the public the applicable contractual terms in a way that enables them to be preserved and reproduced." However, the application of legal requirements to the electronic contracting process clearly demonstrated the technical and legal difficulties in protecting the parties to the contract. [ABSTRACT FROM AUTHOR]

The utilization of high-resolution printed flexible electronic devices is prevalent in various fields, including energy storage, intelligent healthcare monitoring, soft robotics, and intelligent human–machine interaction, owing to its compact nature and mechanical flexibility. The EHD jet printing technology has the potential to develop the field of printing industry through its ability to fabricate high-resolution, flexible, stretchable, and 3D structures for electronic applications such as displays, sensors, and transistors. The EHD jet printing technology involves the use of solution-based inks made of diverse functional materials to print a wide range of structures. Consequently, it is imperative to have a comprehensive understanding of nanomaterial composites that are printed using EHD jet printing technology. This review provides a thorough overview of nanomaterial composite inks printed for electronic devices using EHD jet printing technology. In particular, a comprehensive overview has been provided about the utilization of EHD jet printing for nanomaterial composites in several domains, including flexible electrodes, flexible displays, transistors, energy harvesting, sensors, and biomedical applications. Moreover, this analysis presents a concise overview of the limitations and prospective future directions for nanomaterial composites fabricated by EHD jet printing. [ABSTRACT FROM AUTHOR]

The rapid use of additive manufacturing (AM) in electronic industry identifies the need of flexible electrically conductive materials suitable for 3D printing. Challenges like buckling of flexible filament and complexity in addition of conductive fillers makes pellet‐based extrusion the most suitable alternative for part printing. In the present work, graphite powder is combined with ethylene vinyl acetate (EVA) to print flexible electrically conductive parts. EVA graphite composite with filler loading up to 30% has been investigated for its electrical conductivity and part printability. The composite made was found electrically conductive and suitable for part printing. The parts were printed on a CNC milling machine by using a retrofitted material extrusion tool with nozzle of 0.4 mm diameter and temperature range of 130–140°C. Parts were printed on a detchable heating bed placed on the milling machine setup. Samples of EVA with graphite filler by weight of 5%, 10%, 20%, and 30% were printed and were checked for electrical conductivity. When the filler content was increased from 10% to 20%, the electrical resistance of the composite was reduced by 62.6%. The presence and uniform dispersion of graphite flakes in the polymer matrix of EVA were guaranteed by the rheological and morphological characterization of the composite. Applications of 3D printable flexible electrically conductive parts lies in numerous domains including biosensors, wearable health monitoring devices, capacitors, field effective transistors, light emitting diodes, solar cells, and electronic displays. Highlights: CNC milling machine‐assisted 3D printing is used for part printing.Graphite powder is combined with EVA pellets.Pellet‐based extrusion is used to print flexible parts.3D printability of parts with resistivity 32.64 Ω‐cm was achieved. [ABSTRACT FROM AUTHOR]

Silver‐zinc (Ag–Zn) batteries are a promising battery system for flexible electronics owing to their high safety, high energy density, and stable output voltage. However, poor cycling performance, low areal capacity, and inferior flexibility limit the practical application of Ag–Zn batteries. Herein, we develop a flexible quasi‐solid‐state Ag–Zn battery system with superior performance by using mild electrolyte and binder‐free electrodes. Copper foam current collector is introduced to impede the growth of Zn dendrite, and the structure of Ag cathode is engineered by electrodeposition and chloridization process to improve the areal capacity. This novel battery demonstrates a remarkable cycle retention of 90% for 200 cycles at 3 mA cm−2. More importantly, this binder‐free battery can afford a high capacity of 3.5 mAh cm−2 at 3 mA cm−2, an outstanding power density of 2.42 mW cm−2, and a maximum energy density of 3.4 mWh cm−2. An energy management circuit is adopted to boost the output voltage of a single battery, which can power electronic ink display and Bluetooth temperature and humidity sensor. The developed battery can even operate under the extreme conditions, such as being bent and sealed in solid ice. This work offers a path for designing electrodes and electrolyte toward high‐performance flexible Ag–Zn batteries. [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]