Multiple Teams Research Articles

Too old to be a diversity hire: Choice bundling shown to increase gender-diverse hiring decisions fails to increase age diversity.

Past research has shown that people are more likely to make the decision to hire candidates whose gender would increase group diversity when making multiple hiring choices in a bundle (i.e., when selecting multiple team members simultaneously) compared to making choices in isolation (i.e., when selecting a single team member). However, it is unclear if this bundling effect extends to age diversity and the selection of older candidates, as older workers are often the target of socially acceptable negative stereotypes and bias in recruitment, leaving them unemployed for longer than their younger counterparts. Across five preregistered experiments (total N = 4,096), we tested if the positive effect of bundling on diversity of selections extends to older candidates in hiring decisions. We found evidence of bias against older job candidates in hiring decisions but found inconsistent effects of choice bundling on the selection of older candidates across experiments. An effect of bundling was found in two of five experiments, with no meta-analytic effect found across the five studies. Making older candidates more competitive and introducing a diversity statement aimed at increasing their selection both significantly increased older candidate selections, but failed to activate the bundling effect. We discuss the theoretical implications for choice bundling interventions and for age as a diversity characteristic to support the design of interventions that meet the challenges of an aging workforce. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Identification and optimisation of a risk stratified cohort of patients with type 2 diabetes through the delivery of a enhanced pharmacist-led service

Abstract Introduction Cardio-renal metabolic (CRM) diseases are each associated with significant morbidity and mortality, and due to their shared pathology, the benefit of managing these diseases holistically is becoming increasingly evident. The East Belfast Federation practices have sought to review patients living with type 2 diabetes (T2D), prioritising those not meeting their 3 Treatment Targets (3TT, HbA1c, blood pressure [BP] and cholesterol) to optimise treatment through a pharmacist-led model of care. Aims and Objectives 1. Improve adherence to latest update of NICE T2D [NG28, 2022], with a focus on patients with Cardiovascular Disease (CVD) & Chronic Kidney Disease (CKD). 2. Upskill diabetes teams, to create a legacy effect and ensure improved holistic management will continue beyond the project period. 3. Use a clinical audit tool to identify, stratify and optimise T2D patients not meeting their 3TTs. 4. Improve identification, coding and recall of patients with non-diabetic hyperglycaemia (NDH) as per QOF Indicator NDH001NI [QOF 2022/23]. 5. Enhanced focus on review of sulphonylureas (SU) in relation to frailty and risk of hypoglycaemia [Strain, 2021]. Method Patients not meeting their 3TTs (HbA1c>58 mmol/mol, BP>140/80mmHg, total cholesterol>5mmol/L) were identified from October 2022 to July 2023. Primary care based clinics created which we tailored to the specific needs of the practices with a focus on optimising patients with CVD & CKD co-morbidities. Dedicated specialist education and clinical support was provided to existing diabetes teams in CRM patient management. Additional searches were created and patients identified to review patients experiencing NDH and on a SU. Results At 9 months from baseline, there was a statistically significant improvement of 8.9% in patients achieving all 3TTs (n=373, P=0.013). This was accompanied by an increase in the number of patients optimised for CV risk reduction, with a 39% and 42% increase in patient receiving sodium glucose co-transporter-2 (SGLT2) inhibitors (n=542) and Glucagon-like peptide-1 receptor agonists (GLP1RA) (n=190), respectively. A 5.5% (n=28) reduction in the number of patients on a SU was observed, as well as a 44% (n=76) increase in the number of referrals into the Diabetes Prevention Programme (DPP). 151 statins and 51 BP medications were started/optimised. Discussion and Conclusion The project further exemplifies the feasibility of a pharmacist-led T2D service in a primary care setting. In addition to improvement in established T2D markers, the role promoted collaboration and facilitated best-practice sharing across multiple diabetes teams. This approach allows for more co-ordinated care for patients who may otherwise be referred to multiple specialists, which often results in fragmented care. Future work should focus on promoting CRM protection as early as possible to reduce disease progression and improve outcomes.Number of patients on antidiabetic meds% attainment of 3TT

Navigating Co-design in Children’s Health Literacy Interventions in Schools

Abstract Today’s society exposes children to vast amounts of health-related information, presenting significant challenges in navigating this content. European health literacy (HL) research underscores the primary school’s role in educating children’s HL. Several HL interventions have been developed for a school setting and few have used co-design with adolescents. However less is known about co-designing HL activities with children. Therefore, this study aims to identify barriers and facilitators for co-designing HL activities with 9 to 12-year-old children in school settings. We use 4 phases of design-based research for the process of co-designing learning activities with multiple teams of 6-8 children in school settings. First, children Reflect on HL and empathize and define skills they want to design activities for. They Design activities through ideation and prototyping. We use a variety of creative methods for the sessions and analyses, such as body mapping and affinity mapping. The evaluation of the effectiveness regarding HL and learning outcomes will be performed in Test and Evaluate phases. Our preliminary results show that children need short and clear assignments for the sessions to reach the goals. Children are enthusiastic to participate and like the methods used in the session, although the concept of HL is sometimes difficult to comprehend. It is challenging for children to come up with creative and appropriate elements for activities without correct health information. We are awaiting results from Test and Evaluate phase on the effect on HL levels and learning outcomes. Children are able to co-design HL activities together with HL and health promotion researchers. By giving children a voice and hands-on experience in the design process, we are able to create activities that are suitable for the target population. This co-design process will be evaluated and adapted to an intervention for the “healthy school” program in the Netherlands. Key messages • By co-designing HL activities children actively learn about health literacy. • Children are important and capable co-designers for HL activities when working together with HL researchers.

Coordination in Dynamic Teams: Investigating a Learning–Productivity Trade-Off

The rapid growth in the use of teams and multiple team membership has led more organizations to structure work around dynamic teams, characterized by short lifespans and fluid membership boundaries. This approach to organizing work makes it difficult for teams to work efficiently or to support the learning and growth of members. Given the importance of productivity and learning, we ask how these processes can be supported in dynamic teams. We do so in a randomized controlled field experiment conducted with 91 teams in a teaching hospital, a context in which physician trainees must learn while providing patient care in dynamic teams of care providers. We randomly assigned physician teams, or “core” teams, to launch their work with an intervention focused either on internal coordination among the core team members or on external coordination with a changing cast of external contributors such as nurses and specialists. We measured resulting levels of internal and external coordination over teams’ week-long lifespans and observed that external coordination was associated with improved team efficiency, whereas internal coordination was associated with improved individual learning. Post hoc exploratory analysis suggested that individual learning was highest when teams achieved high levels of both internal and external coordination, and it was positively correlated with improvement in the team’s patients’ average length of hospital stay. We discuss the implications of the demonstrated causal effects of team launches, along with our exploratory findings, for the management of dynamic teams and the opportunities to mitigate potential trade-offs between learning and productivity. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.16729 .

Unlocking success: Multidisciplinary rounds for effective discharge planning.

341 Background: Multidisciplinary rounds (MDR) streamline collaboration among healthcare professionals across various disciplines to devise patient progress and post-hospitalization transition plans. In our gynecology oncology inpatient unit, coordinating patient care involves multiple teams aiming for discharge objectives. While nurses oversee the care plan, physicians, advanced practice providers, case managers, and other key stakeholders possess essential insights to effective discharge planning. The aim of our study was to evaluate the impact of structured MDR implementation on discharge accuracy, effectiveness, and hospital throughput. Methods: In April 2022, our gynecologic oncology inpatient team implemented structured MDRs to enhance discharge processes, focusing on patient outcomes and hospital throughput. The initiative aimed to identify discharge barriers early, set goals, and address challenges collaboratively through: 1) Interdisciplinary Assessment: Using standardized tools to evaluate patient status and care needs; 2) Review of Clinical Data: Analyzing medical records via EHR systems; 3) Collaborative Decision-Making: Using decision-support tools to set the Estimated Discharge Date (EDD); 4) Patient Engagement: Involving patients and families in shared decision-making; 5) Documentation and Communication: Ensuring clear EDD documentation and effective communication through team huddles, bedside rounds, and discharge planning meetings. EDD reporting, discharge order timing, and patient discharge time were tracked using our Care Team Transformation Dashboard. Results: The implementation of structured MDR led to significant improvements in discharge processes. We observed enhanced accuracy in EDD, with a 2.9% increase, and a notable rise in the completion of discharge orders before 9 am, showing a 60.5% increase (Table). The percentage of patients leaving the hospital before noon increased by 20.4%, highlighting MDRs effectiveness in facilitating timely discharge, enhancing intradisciplinary collaboration, and streamlining discharge efficiency. Conclusions: MDRs play a pivotal role in improving teamwork, quality of care, and patient outcomes. Setting EDDs through structured MDR processes enhances proactive discharge planning, thereby reducing delays and optimizing patient flow, ultimately contributing to the delivery of high-quality, patient-centered healthcare. Measure Preintervention: 1/2023-1/2024 Postintervention02-05/2024 Percentage Increase EDD accuracy 1 day prior 46.9 48.3 2.9% Discharge orders before 9am 33.4 53.6 60.5% Discharges prior to noon 19.1 23.0 20.4%

Detecting Research Teams through Active Collaborative Participation

ABSTRACTResearch teams naturally appear from long‐term collaborations. However, effectively tracking their evolution, showing cross‐team participation, and defining team activity periods pose significant challenges. To address these issues, we propose an innovative method involving the computation of an annual active index for each researcher. We applied our method to analyze the solid‐state battery domain. Leveraging co‐inventor relationships, we found 246 teams, categorized into three groups based on their size. Approximately one‐third of these teams drive technological development, with more than half of the members taking part in multiple teams simultaneously.

The Rutgers Integrated Care Evaluation (RICE) Research Framework: An Innovative and Rigorous Set of Methods to Evaluate Integrated Care Programs.

Integrated care programs that prioritize comprehensive service delivery for behavioural health and medical conditions have the potential to improve patient outcomes. Few programs, however, use data-driven methods to guide program evaluation and implementation, limiting their effectiveness, as well as the scope of findings in the research literature. To address these gaps, we describe an innovative and rigorous evaluative research framework: the Rutgers Integrated Care Evaluation (RICE) Research Framework, designed to be tailorable across conditions and care settings. The RICE Research Framework is guided by two core concepts: (1) an approach built on engaging as equal partners and (2) data source triangulation. For the former, the approach relies on multiple teams (Project, Clinical Site, Evaluation, and Consumer) working in collaboration. While teams have specific roles, all teams engage frequently as equal partners to facilitate performance and advance research deliverables. For the latter, we provide a template with recommended primary and secondary data sources with areas of focus, applicable methods, and samples. These sources, when used in combination, can guide implementation, advance replicability, develop/refine health care programs, and foster dissemination of scientific findings. We recommend clinicians and scientists implement the RICE Research Framework to enhance their integrated care programs.

Antimicrobial Resistance in Primary Health Care Setting: The Prevalence of Multi-Drug Resistant Organisms in Health Centers under the Primary Health Care Corporation PHCC, Qatar

Wrong utilization of antimicrobial agents is the greatest cause of developing antibiotics resistance organisms in the human system. Also, hospital acquired infections are known to contribute to illness and earth that can arise from the resistance of organisms towards antimicrobials designed to kill these organism. Our study looked at samples (n=1,522) which were confirmed in the laboratory to be resistance to one or more antimicrobials between year 2019-2021. The research team obtained an ethical approval from the ethics committee before the commencement of this research. The data extracted was carefully cleaned and verified by multiple research team members to ensure accurate data is utilized for the study. The result of this study has revealed a prevalence of (1.35%) with the most implicated organism being the E.coli(87.5%) mostly resistance to the ESBL antibiotics group. Majority of the MDRO cases could be seen in adults between the age of 25 years to 29 years. Moreso, the females had the burden of MDROs when compared to the males visiting the same medical facilities(Female:87% : Male:13%). With a significance prevalence of organisms’ resistance to one or more antibiotics group has been found in people receiving care at the PHCC health centers. There is need to evaluate and enhance the existing policies and guidelines surrounding the antibiotic prescription and administration. Additionally, the enhancement of the public health awareness regarding this condition should be intensified to reach the populations from the grassroot to the top. This strategies will give the community a good understanding of the cause and preventative measures against this rising trend and to avert the consequences that come with it.

Consensus guidelines on the diagnosis and treatment of pancreatic pseudocyst and walled-off necrosis from a Chinese multiple disciplinary team expert panel.

To prepare a set of practice guidelines to standardize the entire process, from diagnosis to treatment and follow-up, for pancreatic pseudocysts and walled-off necrosis. Thirty-six experts in the fields of digestive endoscopy, pancreatic surgery, interventional radiology, and others presented their opinions via discussions in online conferences by referring to the patient, intervention, comparison, and outcomes principles and then reviewed the evidence and statements using the Delphi method to reach a consensus. The consensus of >80% was finally achieved for the items. The experts discussed and reached a consensus on 29 statements including 10 categories: (1) definition and classification, (2) imaging and endoscopic diagnosis, (3) therapeutic implications, (4) surgical therapy, (5) percutaneous catheter drainage, (6) endoscopic retrograde cholangiopancreatography, (7) EUS-guided drainage, (8) stent selection for EUS-guided drainage, (9) complication related to stents for cyst drainage, and (10) drug treatment and follow-up. This consensus based on the clinical experience of experts in various fields and international evidence-based medicine further standardizes the multidisciplinary diagnosis and treatment processes for pancreatic pseudocysts and walled-off necrosis.

The effect of multiple team membership on creativity: the role of self-reflection and need for cognition

The effect of multiple team membership on creativity: the role of self-reflection and need for cognition

Productivity in motion: a structuration theory lens and inductive analysis of MTM in engineering consulting firms

PurposeThis paper explores the impact of multiple team membership (MTM) on the productivity of team members in engineering consulting firms. MTM refers to employees participating concurrently in multiple teams, a concept closely linked to projectification. Despite the fact that this concept can enhance collaboration, it also introduces coordination challenges that may negatively affect productivity.Design/methodology/approachThrough an inductive approach involving 12 semi-structured interviews with engineering consulting professionals specializing in water and energy infrastructure projects, this paper examines the factors affecting team member productivity in an MTM setting. Following the interviews, a Delphi technique was employed, engaging 16 experts to rank the factors and sub-factors identified from the interview data. This two-stage approach ensured a comprehensive and validated assessment of productivity factors.FindingsThis study develops 8 factors process model grounded in structuration theory to explain the socio-technical mechanisms by which multiple team membership shapes productivity outcomes in engineering consulting firms specialized in water and energy infrastructure projects. Key findings surface micro-foundations, tensions in technology provisions, planning processes, and career development that inform theoretical advances and practical improvements.Originality/valueThis research contributes empirically insights into managing MTM in expert service contexts. Applying Giddens' structuration theory, this study reveals how agency and structures shape productivity across organizational, team, and individual levels. In practice, this study provides recommendations for improving productivity within projectified environments, mainly for team members working in an MTM environment in engineering consulting firms specializing in water and energy infrastructure projects.

Assemblies design and modeling analysis of a new fine mesh neutronics/thermal-hydraulics coupling benchmark for plate-type PWR core

In order to support the verification of neutronics/thermal-hydraulics coupling calculation method or simulation codes at the fine mesh for plate-type pressurized water reactor (PWR) with high parameters (which the ratio of power to mass flow rate is greater than 235 kW/kg, the core outlet enthalpy exceeds 1500 kJ/kg), a set of coupling calculation of plate-type PWR based on high parameters (COPHP) is design by Nuclear Power Institute of China (NPIC). Multiple industry research teams, including Tsinghua University, Xi'an Jiaotong University, and Huazhong University of Science and Technology, participated in the production of COPHP benchmark. This article provides a detailed explanation of the completed assembly design and modeling calculations, and provides the keff, pin-by-pin wise fine mesh relative power distribution, and deviation results calculated for 10 conditions of 6 assemblies using RMC, OpenMC, and KYLIN V2 software. The results show that: 1) when using the same cross-sectional library, the OpenMC calculation results are in good agreement with the RMC results. Taking ENDF/B-VII.1 as an example, the maximum deviation of keff in the entire burnup process of all assemblies is −157pcm, the maximum deviation of relative power is −1.13 %, and the maximum power weight error(PWE) is 0.226 %. 2) Compared between KYLIN V2 and the RMC by using ENDF/B-VII.1, the maximum deviation of keff is −468pcm, the maximum deviation of relative power is −1.49 %, and the maximum PWE is 0.316 % when calculating the standard assemblies with all control rod out(ARO) condition and two burnable poison assemblies. The maximum deviation of keff is −795pcm, the maximum deviation of relative power is 1.81 %, and the maximum PWE is 0.369 % when calculating the standard assemblies with all control rod inserted(ARI) conditions.

The Relational Dimensions of Multiple Team Membership: A Social Network Exploration

The Relational Dimensions of Multiple Team Membership: A Social Network Exploration

How to Manage the Duality of Multiple Team Membership: The Role of External and Internal Diversity

How to Manage the Duality of Multiple Team Membership: The Role of External and Internal Diversity

Effect of repeated steam sterilizations on insertional torque, torque to failure, and axial pullout strength of 3.5-mm and 2.0-mm cortical bone screws.

The objective of this study was to determine the effects of repeated steam sterilization cycles on the biomechanical properties of surgical screws. 42 3.5-mm and 42 2.0-mm self-tapping, cortical screws were divided into 3 groups per size and underwent autoclave sterilization for 1 (G1), 50 (G50), or 100 (G100) cycles and testing from August 2018 through June 2021. Sixty screws were then inserted into canine cadaver femurs, and biomechanical properties were measured, including peak insertional torque, torque to failure, and pullout strength, each normalized to cortical thickness. Scanning electron micrographs were taken from 24 screws, and images were blindly analyzed by 5 trained examiners. The mean normalized insertion torque for 3.5-mm screws was significantly different between G1 and both G50 and G100. The mean normalized torque to failure for 3.5-mm screws was significantly different between G1 and both G50 and G100. Axial pullout testing was found to be significantly different for 2.0-mm screws between G1 and G100. Scanning electron micrographs surface scoring identified a significant difference in 3.5-mm screws at the screw tip. The results indicate that biomechanical changes occur with repeated steam sterilizations. Specifically, peak insertional torque and torque to failure are decreased with increased sterilizations for 3.5-mm screws, whereas 2.0-mm screws were altered in pullout testing after 100 sterilizations. It is suspected that numerous sterilizations negatively alter the physical-mechanical properties of certain screw sizes. The biomechanical properties of the bone-implant interface could negatively be affected by multiple steam sterilizations during clinical setting.

Building Interdisciplinary Skills and Mentorship Opportunities in a 2-Week Research Experience

ABSTRACT A framework for a 2-wk summer research course is presented, with a mindset of discovery and self-advocacy that is interdisciplinary and inclusive. The foundations of the course are built upon 2 pillars: (a) a well-defined educational plan focused on cellular engineering, with a goal to instill an engineering mindset into the cell biology field; and (b) a tailored Dimensions of Mentoring policy, which uses a structured feedback system to define and strengthen mentor attributes and provide multiple opportunities for mentorship and mentorship training. Undergraduate and master’s student participants work with PhD students or postdoctoral/professor team leaders in small teams in discovery-based research projects. Multiple teams work in parallel during the 2-wk period and convene in course-wide meetings to share findings and give feedback. Working in small teams with multiple levels of peer and team lead mentoring, students experience advancement in research and technical skills. Participants also experience gains in their understanding of the overarching educational goals in cellular engineering and science communication skills through course-wide activities. The principles from the Dimensions of Mentoring were also effective, with mentors at different levels building strong inclusive teams, coaching practical skills, and promoting individual advocacy. Meeting basic needs, providing relatable role models, and prioritizing enjoyable team-building activities were found to be critical factors in providing inclusive and productive environments. Overall, participants report high satisfaction with a discovery-based interdisciplinary research experience because of a supported environment. This creation of a strong community benefits individual career development and contributes to sustainable research productivity.

Unraveling the Enigma of Gossypiboma: A Series of 14 Cases Highlighting the Prevalence, Root Causes, and Outcomes in Resource-Limited Settings.

Gossypiboma or textiloma is the unintentional retention of textile material in a patient's body, often occurring during abdominal surgery and involving surgical sponges. The body may respond to this foreign body with an exudative inflammatory reaction or an aseptic fibrotic reaction, encapsulating the cotton material and forming a mass. This rare but dramatic event can lead to life-threatening complications, and due to legal and ethical concerns, few publications exist. There were no published papers regarding this issue in our nation (Yemen). This study aims to report the retained surgical sponges' cases and their associated factors in a resource-limited setting to improve prevention. A retrospective case series study was conducted at hospitals affiliated with Ibb University, Ibb, Yemen, between March 22, 2018, and May 12, 2024. The study included 14 cases of diagnosed and surgically confirmed retained surgical sponges. Data on demographic characteristics, type of operation, and risk factors were gathered and analyzed. Among 15,120 surgical procedures, there were 14 cases of retained surgical sponges with a prevalence rate of 0.09%. The mean age was 32.5±17.0 years, with 10 (71.4%) females and 4 (28.6%) males. Gynecological surgery was the most common causal procedure (n=7, 50.0%). The most common clinical presenting features were abdominal pain in 12 (85.7%), followed by infections and a systemic reaction in 9 (64.3%). The median symptom incubation time was 37 days. 11 (78.5%) patients underwent abdominal X-rays, and 13 (92.8%) had abdominal ultrasounds, with 4 (28.6%) X-rays and 5 (35.7%) abdominal ultrasounds being deemed non-diagnostic. An abdominal-pelvic CT scan was done on 11 (78.5%) individuals, with the results being diagnostic in 10 (71.4%) and non-diagnostic in one (7.1%). The leading causes for gossypiboma occurrence were prolonged surgical procedures > one hour and emergency in 7 (50.0%) cases, followed by multiple surgical team involvement and change in nursing staff during procedures in 5 (35.7%) cases. A gossypiboma or retained foreign body diagnosis can be achieved through comprehensive patient history, radiologist-surgeon interaction, understanding of risk factors, and familiarity with imaging patterns. Safety procedures should be robust and straightforward, and effective communication among surgical professionals can help minimize medical negligence and protect patients in chaotic situations.Furthermore, the surgeon should adhere to the standard prescribed method and report cases of retained surgical sponges.

Counting nematodes made easy: leveraging AI-powered automation for enhanced efficiency and precision.

Counting nematodes is a labor-intensive and time-consuming task, yet it is a pivotal step in various quantitative nematological studies; preparation of initial population densities and final population densities in pot, micro-plot and field trials for different objectives related to management including sampling and location of nematode infestation foci. Nematologists have long battled with the complexities of nematode counting, leading to several research initiatives aimed at automating this process. However, these research endeavors have primarily focused on identifying single-class objects within individual images. To enhance the practicality of this technology, there's a pressing need for an algorithm that cannot only detect but also classify multiple classes of objects concurrently. This study endeavors to tackle this challenge by developing a user-friendly Graphical User Interface (GUI) that comprises multiple deep learning algorithms, allowing simultaneous recognition and categorization of nematode eggs and second stage juveniles of Meloidogyne spp. In total of 650 images for eggs and 1339 images for juveniles were generated using two distinct imaging systems, resulting in 8655 eggs and 4742 Meloidogyne juveniles annotated using bounding box and segmentation, respectively. The deep-learning models were developed by leveraging the Convolutional Neural Networks (CNNs) machine learning architecture known as YOLOv8x. Our results showed that the models correctly identified eggs as eggs and Meloidogyne juveniles as Meloidogyne juveniles in 94% and 93% of instances, respectively. The model demonstrated higher than 0.70 coefficient correlation between model predictions and observations on unseen images. Our study has showcased the potential utility of these models in practical applications for the future. The GUI is made freely available to the public through the author's GitHub repository (https://github.com/bresilla/nematode_counting). While this study currently focuses on one genus, there are plans to expand the GUI's capabilities to include other economically significant genera of plant parasitic nematodes. Achieving these objectives, including enhancing the models' accuracy on different imaging systems, may necessitate collaboration among multiple nematology teams and laboratories, rather than being the work of a single entity. With the increasing interest among nematologists in harnessing machine learning, the authors are confident in the potential development of a universal automated nematode counting system accessible to all. This paper aims to serve as a framework and catalyst for initiating global collaboration toward this important goal.

Reduced-order modeling of modular, position-dependent systems with translating interfaces

Many complex mechatronic systems consist of multiple interconnected dynamical subsystems, which are designed, developed, analyzed, and manufactured by multiple independent teams. To support such a design approach, a modular model framework is needed to reduce computational complexity and, at the same time, enable multiple teams to develop and analyze the subsystems in parallel. In such a modular framework, the subsystem models are typically interconnected by means of a static interconnection structure. However, many complex dynamical systems exhibit position-dependent behavior (e.g., induced by translating interfaces) which cannot be captured by such static interconnection models. In this paper, a modular model framework is proposed, which allows to construct an interconnected system model, which captures the position-dependent behavior of systems with translating interfaces, such as linear guide rails, through a position-dependent interconnection structure. Additionally, this framework allows to apply model reduction on subsystem level, enabling a more effective reduction approach, tailored to the specific requirements of each subsystem. Furthermore, we show the effectiveness of this framework on an industrial wire bonder. Here, we show that including a position-dependent model of the interconnection structure (1) enables to accurately model the dynamics of a system over the operating range of the system and, (2) modular model reduction methods can be used to obtain a computationally efficient interconnected system model with guaranteed accuracy specifications.

Scoping Review of Wounds in Hospitalized Adults with COVID-19 Over the First Three Years of the Pandemic.

To synthesize the literature on skin failure and pressure injuries among hospitalized patients with COVID-19. An electronic literature search using relevant keywords and controlled vocabulary was conducted in March 2023 on MEDLINE/PubMed, Embase, and CINAHL. Manual citation searches of included articles and grey literature, including the Wound, Ostomy, and Continence Nurses Society website were performed. Articles published in English between 2020 and April 2023 were considered. Articles were included if they reported on COVID-19 positive hospitalized adults with wounds that were not present upon admission. A total of 31 articles met these criteria. Covidence was used to extract the data and was reviewed by multiple team members. Of the 31 studies, 27 reported new onset skin lesions during hospitalization. Wounds were classified as pressure injuries, skin failure, livedo racemosea and/or, retiform purpura, and associated with microvascular thrombosisthrombotic vasculopathy. Most pressure injuries were associated with prone position and affected patients often had multiple comorbidities including hypertension, diabetes mellitus, end-stage renal disease, heart disease, and COPD. Four articles highlighted an increased risk of new onset wounds, and three emphasized the importance of distinguishing deep tissue pressure injuries from ischemic-related lesions in patients with COVID-19. The evidence suggests an increased risk of ischemic lesions and pressure injuries (PI) in patients with COVID-19 infection. This phenomenon may have inflated the numbers of PI during the pandemic and adversely affected nursing quality measures in acute care environments.