Flexible Format Research Articles

Integration of Education and Industry in China: Lessons from Germany Applied Universities

This article delves into the significance of harmonizing education with industry requirements, with a focus on the German applied university system and its dual study model. It identifies challenges within the Chinese education-industry integration, such as inadequate cooperation and a skills gap, and contrasts these with the German model, where applied universities effectively bridge the gap between academic learning and industry demands. The methodology involves a systematic review of literature to extract insights into how Germany's dual study programs guarantee employment upon graduation and how China can adapt these strategies. A key finding is the importance of a collaborative approach between educational institutions and industries to cultivate a workforce that is equipped to meet the challenges of the modern labor market. The Duale Hochschule Baden-Wuerttemberg (DHBW) is highlighted as a case study, showcasing its successful integration of theoretical and practical education with industry partnerships. It is concluded with recommendations for China to enhance its education-industry integration, advocating for closer university-industry collaboration, decentralized governance, practical program design, flexible learning formats, and supportive policy frameworks. The paper underscores the potential for Chinese applied universities to improve talent cultivation by aligning with industry needs and promoting innovation and entrepreneurship, thereby increasing graduates' employability and contributing to societal development.

Optimization method for offsite consequence analysis by efficient plume segmentation

The speed of offsite consequence analysis is highly important due to the extensive calculations required to handle all the scenarios for a single-unit or multi-unit Level 3 PSA (probabilistic safety assessment). To perform an offsite consequence analysis as part of Level 3 PSA, various input parameters are considered, amongst which certain parameters, such as plume segments, spatial grids, and particle size distributions, have flexible input formats. This study describes the development of an effective optimization method to reduce the analysis time as much as possible while maintaining the accuracy of the offsite consequence analysis results. The effect of plume segmentation on offsite consequence analysis was investigated by observing deviations in analysis results and changes in the required analysis times following changes in plume release. Then a plume segmentation optimization method based on the cumulative release fraction slope was developed to intensively analyze the sections with rapid release and to simplify the analysis for the sections with nonsignificant release. As a result of applying this method, the analysis time was reduced by about 54.5 % compared to the base case, while the resulting health effects showed very small deviations of 0.03 % and 1.77 % for early fatality risk and cancer fatality risk, respectively.

SKHASH: A Python Package for Computing Earthquake Focal Mechanisms

Abstract We introduce a Python package for computing focal mechanism solutions. This algorithm, which we refer to as SKHASH, is largely based on the HASH algorithm originally written in Fortran over 20 yr ago. HASH innovated the use of suites of solutions, spanning the expected errors in polarities and takeoff angles, to estimate focal mechanism uncertainty. SKHASH benefits from new features with flexible input formats and allows users to take advantage of recent advances in constraining focal mechanisms for small magnitude or poorly recorded earthquakes. The 3D locations of earthquakes and the velocity models used are varied when finding acceptable solutions. As a result, source–receiver azimuths are reflective of errors from the earthquake locations and velocity models, in addition to the takeoff angles. Users can consider weighted P-wave first-motion polarities derived from traditional or machine-learning picks, cross-correlation consensus, and/or imputation techniques using SKHASH. Focal mechanism solutions can also be further constrained using traditional, machine learning, and/or cross-correlation consensus S/P amplitude ratios. With improved reporting of individual and collective P polarity and S/P amplitude misfits, users can better evaluate the success of the solutions and the quality of the measurements. The reporting also makes it easier to identify potential issues with metadata, including incorrectly reported station polarity reversals. In addition, by leveraging vectorized operations, taking advantage of an efficient backend Python C Application Programming Interface, and the use of a parallel environment, the Python SKHASH routine may compute mechanisms quicker than the HASH routine.

Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach.

Diabetes management requires constant monitoring and individualized adjustments. This study proposes a novel approach that leverages digital twins and personal health knowledge graphs (PHKGs) to revolutionize diabetes care. Our key contribution lies in developing a real-time, patient-centric digital twin framework built on PHKGs. This framework integrates data from diverse sources, adhering to HL7 standards and enabling seamless information access and exchange while ensuring high levels of accuracy in data representation and health insights. PHKGs offer a flexible and efficient format that supports various applications. As new knowledge about the patient becomes available, the PHKG can be easily extended to incorporate it, enhancing the precision and accuracy of the care provided. This dynamic approach fosters continuous improvement and facilitates the development of new applications. As a proof of concept, we have demonstrated the versatility of our digital twins by applying it to different use cases in diabetes management. These include predicting glucose levels, optimizing insulin dosage, providing personalized lifestyle recommendations, and visualizing health data. By enabling real-time, patient-specific care, this research paves the way for more precise and personalized healthcare interventions, potentially improving long-term diabetes management outcomes.

Enabling seamless migration of optical metro-urban networks to the multi-band: unveiling a cutting-edge 6D planning tool for the 6G era

The relentless demand for high-bandwidth services and applications in the beyond-5G/6G era necessitates optical networks to provide ample spectral resources to accommodate the increasing traffic loads. This requirement is especially pronounced in metro and regional segments, where a projected traffic compound annual growth rate (CAGR) of over 40%, driven by content delivery network (CDN) traffic concentrated near the end users, threatens to push the fiber capacity to its limits on a number of heavily utilized links in the short to medium term. This limitation cannot be circumvented despite the utilization of spectrally efficient modulation formats designed for short-distance transmission. Thus, it is imperative to explore migration strategies to solutions that allow the expansion of spectral resources beyond the current usage of the extended C-band (4.8 THz). In this article, we present a comprehensive evaluation of multi-homed edge-to-core routing, modulation-level selection, and spectrum assignment simulations conducted over reference metropolitan area networks (MANs) by leveraging on a novel network planner called 6D-MAN, which we have developed to adapt to heterogeneous multi-layer networks based on multi-band and multi-fiber transmission. Our simulations consider coherent transmission with flexible modulation format transponders operating at capacities ranging from 100 to 400 Gbps on the 50 GHz grid and explore link-by-link migration strategies restricted to the C+L-band, ensuring optimal performance in terms of the generalized signal-to-noise ratio (GSNR). The obtained results demonstrate that deploying L-band equipment on a selected number of links effectively extends the lifespan of existing networks, enabling congestion-free operation with minimal intervention. In their entirety, our findings underscore the importance of contemplating alternative spectral resources beyond the conventional C-band. They unequivocally accentuate the potential of L-band equipment strategic deployment to tackle capacity constraints in MANs, resulting in a 60% reduction in fiber length and a remarkable 45% decrease in new fiber-pair link deployment needs. The profound implications of efficient fiber capacity utilization manifest themselves in substantial OPEX and optical total cost of ownership savings, amounting to approximately 71% and 17%–27%, respectively, over a 10-year period. This research provides valuable insights for MAN operators seeking sustainable strategies to support the growing demands of future beyond-5G/6G services.

Factors Influencing Adherence to Insomnia and Obstructive Sleep Apnea Treatments among Veterans with Mild Traumatic Brain Injury

ABSTRACT Objective To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI). Method Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach. Results Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support). Conclusions Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.

Digital Empowerment: Unveiling Motivations and Overcoming Challenges in Content Creation for Women Entrepreneurs

In the rapidly evolving digital landscape, where brand visibility is paramount for business success, women entrepreneurs find themselves navigating the intersection of content creation and branding. Despite the increasing significance of digital content, a critical gap exists in understanding how women entrepreneurs leverage this realm, exacerbated by the limited availability of structured training and technical barriers, notably in video shooting and editing. This study, encompassing forty participants from a Women Entrepreneurship Technical and Vocational Education and Training (TVET) program, aims to unveil the motivations propelling women entrepreneurs into content creation and the challenges they face, with a specific focus on technical aspects. By scrutinizing these nuances, the research seeks to provide tailored solutions and recommendations, addressing the dearth of targeted support hindering effective content creation for personal branding and product/service visibility. The study aligns with the broader literature emphasizing the transformative role of women entrepreneurs, the strategic importance of social media content creation, and the challenges and motivations elucidated in previous research. Recommendations encompass tailored training programs, leveraging government-prepared initiatives, mentorship, strategic integration of social media trends, flexible learning formats, collaborative content creation, and continuous evaluation and adaptation. These suggestions, rooted in the study's findings and aligned with broader trends, serve as a catalyst for empowering women entrepreneurs in the competitive digital landscape, addressing their unique needs and aspirations. As women continue to play a vital role in shaping the entrepreneurial landscape, this research endeavours to bridge knowledge gaps and foster a more inclusive and innovative business ecosystem.

SDHDF: A new file format for spectral-domain radio astronomy data

Radio astronomy file formats are now required to store wide frequency bandwidths and multiple simultaneous receiver beams and must be able to account for versatile observing modes and numerous calibration strategies. The need to capture and archive high-time and high frequency-resolution data, along with the comprehensive metadata that fully describe the data, implies that a new data format and new processing software are required. This requirement is suited to a well-defined, hierarchically-structured and flexible file format. In this paper we present the Spectral-Domain Hierarchical Data Format (‘SDHDF’) — a new file format for radio astronomy data, in particular for single dish or beam-formed data streams. Since 2018, SDHDF has been the primary format for data products from the spectral-line and continuum observing modes at Murriyang, the CSIRO Parkes 64-metre radio telescope, and we demonstrate that this data format can also be used to store observations of pulsars and fast radio bursts.

“I Wish I Had That!”: A Qualitative Analysis of Psychosocial Treatment Preferences Among Young Adults With Recent Concussion and Anxiety

ObjectiveTo assess psychosocial treatment preferences and factors that may affect treatment participation among young adults with a recent concussion and co-occurring anxiety. DesignIn-depth, semi-structured individual qualitative interviews, followed by thematic analysis using a hybrid deductive-inductive approach. SettingAcademic medical center in the US Northeast. ParticipantsSeventeen young adults (18-24y) who sustained a concussion within the past 3-10 weeks and reported at least mild anxiety (≥5 on the Generalized Anxiety Disorder-7 questionnaire). InterventionsNot applicable. Main Outcome MeasuresPrimary outcomes include preferences for program content (eg, topics and skills), delivery modality, format, and barriers and facilitators to participation. ResultsWe identified 4 domains characterizing participants’ perceptions of and preferences for treatment. (1) Program content: Participants preferred a program early after injury that included psychoeducation and coping skills (eg, activity pacing, deep breathing, mindfulness). (2) Therapeutic processes: Participants preferred a person-centered approach in which clinicians normalized anxiety postconcussion and reassured them of recovery. (3) Program logistics: Participants endorsed that a brief, virtual program would be acceptable. They preferred access to program components through multiple modalities (eg, audio, video) and accommodations to manage concussion symptoms. (4) Barriers and facilitators to participation: Barriers included acute concussion symptoms (eg, screen sensitivity), time constraints, and forgetting sessions. Facilitators included a program that is flexible (format, scheduling), personalized (self-chosen mode for reminders, measure of accountability), and accessible (ie, advertising through health care professionals or social media). ConclusionsParticipants need psychosocial support that normalizes their experiences and provides education and coping tools. Treatments should be accessible, flexible, and person centered. Psychosocial treatments meeting these preferences may help optimize the recovery of young adults with recent concussion and anxiety.

Developing and piloting an online course on osteoporosis using a multidisciplinary multi-institute approach- a cross-sectional qualitative study.

Postgraduate medical trainees (PGs) in developing nations face various educational hurdles due to limited access to quality resources and training facilities. This study aimed to assess the effectiveness of e-learning, particularly Massive Open Online Courses (MOOCs), within postgraduate medical education. It involved the development of a customized online course focused on osteoporosis for PGs and an examination of their perspectives and preferences concerning online learning methods like Virtual Learning Environment (VLE) platforms. The study was conducted from January 2018 to December 2020. A multi-institutional, multidisciplinary team was assembled to design an osteoporosis course on the VLE platform. PGs (n = 9) from diverse disciplines and institutions were selected with informed consent. Focus group discussions (FGDs) among these PGs identified their preferences for the online course, which subsequently guided the development of the MOOC. The modular MOOC comprised recorded micro-lectures, flashcards, videos, case challenges, and expert interviews. The educational impact of the VLE was assessed using pre- and post-module tests among the participants, and their perceptions of the PGs and course facilitators were gathered via an online survey. The study identified the involvement of PGs in the course design process as beneficial, as it allowed for content customization and boosted their motivation for peer-to-peer learning. During the FGDs, PGs expressed a strong preference for flexible learning formats, particularly short downloadable presentations, and micro-lectures. They also identified challenges related to technology, institutional support, and internet connectivity. In the subsequently customized MOOC course, 66% of PGs (n = 6) attempted the pre-test, achieving a mean score of 43.8%. Following the VLE module, all PGs (n = 9) successfully passed the end-of-module test, averaging a score of 96%, highlighting its impact on learning. The majority (n = 8, 88.9%) agreed that the course content could be applied in clinical practice, and 66.7% (n = 6) expressed extreme satisfaction with the learning objectives and content. Participants favoured end-of-module assessments and the use of best-choice questions for evaluation. This study highlights the importance of virtual learning, particularly MOOCs, in addressing the educational challenges faced by developing nations. It emphasizes the need for tailored online courses that cater to the preferences and requirements of PGs. The findings suggest that MOOCs can foster collaboration, networking, and opportunities for professional development, and interdisciplinary collaboration among faculty members can be a key strength in course development. This research provides valuable insights for educators, institutions, and e-learning developers seeking to enhance their teaching methodologies and establish accessible educational environments in the digital age.

Use of a Microfluidic Platform To Evaluate and Predict Reagent Performance in Microtiter Plate-Based Immunoassays.

Selection and characterization of antibodies are critically important in establishing robust immunoassays to support the development efforts of vaccines. Plate-based ELISA can be time- and resource-intensive to select initial antibody clones or characterize downstream resupply lots while providing limited information regarding the binding characteristics of the antibodies beyond concentration-response curves. This work applied the microfluidic Gyrolab to holistically evaluate immunoassay reagents through analyses of concentration-response curves as well as antibody-antigen interactions visualized in column images and affinity estimates. We exploited the automation capability of the Gyrolab to reduce the resources (time, reagents, and scientists) required for screening and evaluating antibody reagents. Using a flexible semi-universal assay format, we compared antibody clones for selection and resupply lots of sera and monoclonal antibodies in a simple "plug-and-play" manner without antibody modifications. We found that the performance of antibodies in the Gyrolab correlated well with the trends observed in traditional ELISAs, while the Gyrolab provided additional advantages over plate-based assays such as column images of antibody binding and affinity measurements.

Parents’ perspectives on using a Family Medication Safety Plan designed to promote appropriate opioid prescription practices with adolescents

BackgroundResearch has underscored the vulnerability of adolescents to opioid misuse, creating a call to action for researchers and practitioners to identify ways to reduce the youths’ risk of opioid misuse. Although strategies have previously been proposed, few studies have targeted and designed interventions for adolescents and their families. The Family Medication Safety Plan (FMSP) was developed to provide families with a tool to encourage early education and conversation and promote safe use of prescription opioid medications in their homes. ObjectivesThis study aimed to understand parent perceptions of using the FMSP for potential opioid prescriptions and identify opportunities for widespread application and improvement. MethodsParents living in the United States with access to a webcam-enabled computer were recruited via social media, e-mail listservs, snowball sampling, and Qualtrics research panels. Parents were given the FMSP and asked to complete the worksheet with their child aged 12-18 years. Parents were then scheduled for a 30-minute, semistructured interview to elicit feedback. Interviews were transcribed verbatim by professional transcriptionists before being uploaded to NVivo for thematic and content analysis. ResultsParents (N = 59) were interviewed and had positive impressions of using the FMSP in their homes. Prevalent themes identified included how the FMSP format could be modified and how the parents would use it in their family. Many participants identified ways in which different health care providers could be used as a resource to make the FMSP more accessible and useful for their family unit. ConclusionParents indicated that the FMSP was a beneficial tool for integration and evaluation of safe medication practices in homes. Participants suggested that this tool was most valuable when used for the specific needs of each family, indicating that modifying the FMSP to make it in a more flexible format such that it may improve uptake.

Developing effective In-Service Education for intensive care nurses: Exploring the views of clinical stakeholders in the Kingdom of Saudi Arabia

BackgroundEvidence-based in-service education (ISE) in the intensive care unit (ICU) is essential to maintaining nurse skill and competence in this complex clinical area. However, there has been limited research that has focused on developing and optimising the specialised training required by ICU nurses working in trauma care. ObjectivesTo explore the perspectives of ICU clinical stakeholders regarding their needs and preferences for ISE to inform the future development and implementation of effective educational interventions. DesignA qualitative, multiple-case study supported by the “Empowering Education” theoretical framework, which emphasises the importance of stakeholder involvement in education development. SettingsAdult ICUs in three major hospitals located in two geographical areas in Saudi Arabia. ParticipantsForty clinical nurses, twelve nurse managers, nine nurse leaders and seven clinical educators participated. MethodsData were collected through semi-structured interviews followed by focus groups. Framework analysis was used for data analysis. FindingsStakeholders wanted ISE and training by subject experts characterised by: (i): relevant educational content; (ii): a range of educational techniques and (iii) flexible delivery and format. Nurses also identified factors that encouraged them to participate in ISE including adequate resources and a supportive work environment, whilst heavy workloads, cost and scheduling issues hindered engagement. ConclusionThis paper highlights the importance of considering staff needs and local context when developing in-service ICU education to support nurses' competence. Further recommendations and a proposed framework to develop future ISE in the ICU are provided. Tweetable abstractThe key to effective in-service education for ICU nurses is understanding stakeholders' needs and motivational drivers, whilst addressing barriers to successful implementation.

Development of a new tool for seismic risk assessment and multi-criteria decision making

The present paper introduces a new risk-informed based tool that can support disaster management authorities in making decisions in response to earthquakes at local and regional scales by using estimated physical and socio-economic losses. The risk-informed based tool is building upon existing risk assessment methods, and multi-criteria decision-making (MCDM) methodology. The integrated risk assessment methods are adapted from the earthquake loss estimation tool SELENA. The integrated MCDM methodology, allowing selection of optimal mitigation measures by taking into account the priorities and preferences of disaster management authorities, was developed within the EU Horizon 2020 TURNkey project [1]. The new tool presented in this study also allows easy integration and incorporation of existing database and models that can be openly available. The tool is characterized with user-friendly interface and flexible format of the input and output data, that can be easily understood by different actors in disaster risk management.

Single cell glucose-stimulated insulin secretion assay using nanowell-in-microwell plates.

Pancreatic β cells secrete insulin in response to elevated levels of glucose. Stem cell derived β (SCβ) cells aim to replicate this glucose-stimulated insulin secretion (GSIS) function, but current preparations cannot provide the same level of insulin as natural β cells. Here, we develop an assay to measure GSIS at the single cell level to investigate the functional heterogeneity of SCβ cells and donor-derived islet cells. Our assay involves randomly depositing single cells and insulin capture microbeads in open-top nanowells (40 × 40 × 55 μm3) fabricated on glass-bottom imaging microwell plates. Insulin secreted from single cells is captured on microbeads and then stained using a detection antibody. The nanowell microstructure limits diffusion of secreted insulin. The glass substrate provides an optically flat surface for quantitative microscopy to measure the concentration of secreted insulin. We used this approach to measure GSIS from SCβ cells and donor-derived islet cells after 15 minutes exposure to 3.3 mM and 16.7 mM glucose. Both cell types exhibited significant GSIS heterogeneity, where elite cells (<20%) produced the majority of the secreted insulin (55-78%). This assay provides an immediate readout of single cell glucose-stimulated insulin secretion in a flexible well plate-based format.

Impact of coronavirus disease 2019 on medical practice in endocrine and metabolic diseases in Japan: a nationwide surveillance study conducted by the Japan Endocrine Society.

We investigated the impact of the Coronavirus disease 2019 (COVID-19) pandemic on the management of endocrine and metabolic disorders in Japan. We conducted a cross-sectional nationwide questionnaire survey targeting board-certified endocrinologists under the auspices of the Japan Endocrine Society. The questionnaire consisted of multiple-choice questions and open-ended responses. Out of approximately 2,700 specialists, 528 (19.5%) opted to participate, suggesting a high level of interest in COVID-19 management among endocrinologists. The study found that almost half of participants had encountered cases of endocrine and metabolic disorders following COVID-19 infection or vaccination. Conditions related to thyroid diseases, glucose metabolism disorders/diabetes, and hypothalamic-pituitary disorders were particularly prevalent. Diabetes and obesity were identified as having high rates of severe cases or fatalities due to COVID-19. The study also highlighted challenges in routine diagnosis and treatment, emphasizing the potential benefits of combining remote consultations with in-person visits to optimize the frequency of examinations and check-ups during infectious disease outbreak which disrupts access to healthcare providers. The insights obtained from this survey are expected to contribute to ensuring appropriate healthcare provision for patients with endocrine and metabolic disorders by using flexible consultation formats, particularly even in the conditions where medical access may be limited due to future outbreaks of emerging or re-emerging infectious diseases.

Adapting peer review for the future: Digital disruptions and trust in peer review

Key points Academia is undergoing transformation with rapid technological advancements, global collaboration, and the rise of AI. Maintaining research integrity is paramount in the face of new challenges and opportunities. The peer review process, vital for research integrity, is strained due to the high volume of academic papers. Cactus Communication's (CACTUS) global survey during Peer Review Week 2022 gathered insights from 685 participants on research integrity and peer review. Survey participants emphasized the importance of peer review in detecting various issues, including plagiarism and questionable research practices. Actions taken in response to integrity concerns varied, with some participants seeking guidance from colleagues or informing journal editors. Digital innovations, especially AI‐driven tools, promise to revolutionize peer review processes, from manuscript screening to reviewer selection and evaluation. AI tools like Chat GPT can aid authors in improving writing quality and assist reviewers in generating detailed feedback. Concerns about data privacy and the need for a balance between human expertise and AI assistance are raised in the context of peer review. AI plagiarism detection tool scan complement human efforts, providing an additional layer of scrutiny. Increased digital innovation allows for flexible review formats, international collaboration, and heightened transparency in the review process. The integration of AI into peer review holds the potential to enhance efficiency and objectivity but raises concerns about bias and transparency. Guidelines, bias mitigation measures, accountability mechanisms, and ongoing training are essential for the responsible use of AI in peer review. Encouraging peer review systems to embrace innovation and ethical AI is crucial for adapting to changing dynamics while upholding core principles of research integrity.

Therapeutically applied Minecraft groups with neurodivergent youth.

Therapeutically applied Minecraft groups are an intervention designed to support social engagement, confidence, and competence in youth. The flexible interaction format and use of a popular digital game support the fit of this intervention for use with neurodivergent youth. Minecraft is leveraged to support opportunities to build authentic relationships and social confidence in an engaging, low-stakes environment with peers. The group format allows for real-world social practice with peers, while the game environment can support motivation to interact with others, and provides multiple modes for such interaction (i.e., chat, building/movement with the avatar). This article outlines the theoretical foundations of therapeutically applied Minecraft groups as well as practical considerations for implementation. The method outlined includes the justification for this method, process of creating support groups, check-in and check-out processes, and in-game activity examples for different situations. Use cases are included to illustrate how the methods have been used in the past to support social growth with neurodivergent youth. Use cases include examples of different Minecraft servers, such as the habitat, and identifying stresses of social growth such as school anxiety and how the use of therapeutically applied Minecraft helped. Therapeutically applied Minecraft groups can provide opportunities for peer connection and social practice in a facilitated environment. Though the use of Minecraft and other games to support learning and social connection is prevalent in the media, the academic research in this area is sparse. This article provides an example of Minecraft in use in a therapeutic context and calls for more formal research in this area of therapeutically applied games.

Laser-Assisted Structuring of Graphene Films with Biocompatible Liquid Crystal Polymer for Skin/Brain-Interfaced Electrodes.

The work presented here introduces a facile strategy for the development of flexible and stretchable electrodes that harness the robust characteristics of carbon nanomaterials through laser processing techniques on a liquid crystal polymer (LCP) film. By utilizing LCP film as a biocompatible electronic substrate, control is demonstrated over the laser irradiation parameters to achieve efficient pattern generation and transfer printing processes, thereby yielding highly conductive laser-induced graphene (LIG) bioelectrodes. To enhance the resolution of the patterned LIG film, shadow masks are employed during laser scanning on the LCP film surface. This approach is compatible with surface-mounted device integration, enabling the circuit writing of LIG/LCP materials in a flexible format. Moreover, kirigami-inspired on-skin bioelectrodes are introduced that exhibit reasonable stretchability, enabling independent connections to healthcare hardware platforms for electrocardiogram (ECG) and electromyography (EMG) measurements. Additionally, a brain-interfaced LIG microelectrode array is proposed that combines mechanically compliant architectures with LCP encapsulation for stimulation and recording purposes, leveraging their advantageous structural features and superior electrochemical properties. This developed approach offers a cost-effective and scalable route for producing patterned arrays of laser-converted graphene as bioelectrodes. These bioelectrodes serve as ideal circuit-enabled flexible substrates with long-term reliability in the ionic environment of the human body.

Flexible All-Optical 8QAM Signal Format Conversion Using Pump Assisted Nonlinear Optical Loop Mirror

A flexible all-optical format interconversion scheme based on a pump assisted nonlinear optical loop mirror (NOLM) is proposed and numerically simulated for the first time to our knowledge. In this scheme, input multi-Gbps 8QAM signals are divided into clockwise (CW) and counter-clockwise (CCW) components by a 3-dB optical coupler (OC), which also couples light from the input pump into the NOLM from the CCW direction. The numerical model of the pump assisted NOLM with CW and CCW optical paths is simplified using a nonlinear Mach-Zehnder interferometer (MZI). Optical signals in the upper MZI arm will be mainly affected by the self-phase modulation (SPM) effect when traversing the highly nonlinear fiber (HNLF) and those in the lower MZI arm are impacted by cross-phase modulation (XPM) in addition to SPM when they experience the HNLF with the input pump light. When the upper-arm optical signal with SPM phase shift and the lower arm optical signal with SPM and XPM phase shifts are coherently mixed, a new converted 8QAM signal can be obtained. The power transfer function (PTF) of the pump assisted NOLM and the relative phase shift (RPS) between the input and the output optical signals are theoretically provided and verified. By only changing the input power of the 8QAM signal and the pump light, all-optical format interconversion of square-, standard- and star-shaped 8QAM signals can be achieved. Furthermore, the proposed scheme can achieve format conversion from the 30 Gbps square-shaped 8QAM signal to a 20 Gbps quadrature phase shift keying (QPSK) signal. The scheme performance is analyzed via constellation diagrams, eye diagrams, the error vector magnitude (EVM) and the bit error rate (BER) of the optical signals. The scheme developed can be deployed in optical gateways to connect different optical networks by dynamically selecting their appropriate modulation formats.