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This paper considers optimal design of queueing networks in which each node consists of a single-server FIFO queue and an infinite-server queue, which is referred to as incubation queue. Upon service completion at a FIFO queue, a job splits (forks) into two parts: the first part is routed to the next node on its route, and the second part is placed in the incubation queue. Routing of the jobs of multiple types is governed by a central decision maker that decides on the routes for each job type and aims to minimize the mean turnaround time of the jobs, i.e., the time spent in the system until service completion at the FIFO queue in the last node, and at all incubation queues on the job's route, which may be viewed as a join operation. We provide explicit results for the turnaround time when all service and inter-arrival time distributions are exponential and invoke the Queueing Network Analyzer when these distributions are general. We then develop a Simulated Annealing approach to find the optimal routing configuration. We apply our approach to determine the optimal routing configuration in a chemistry analyzer line.

Transdisciplinary research requires improved knowledge exchange between science and practice. Such improvements include diversifying and scaling up knowledge accessing and sharing through online platforms. We conducted twenty interviews informed by behavioral science methods to clarify the aim, components, and participants' perspectives on the usefulness of the proposed components for an envisioned platform. Participants were members of a Dutch community of practice for river studies and a research programme into integrated and collaborative management. The proposed concept included storylines, data repositories, user profiles, interactive visualisations, and collaborative sessions. Interview results include drivers and barriers from prospective users that we translated into requirements to increase the potential adoption and effective use of online platforms with similar components. From the experiences with implementing these requirements, we provide recommendations for enabling primary drivers: (i) Combining online and offline interactions to provide various options for knowledge exchange between disciplines and organisations. (ii) Sharing the content and application of the research with a non-scientific audience. (iii) Reusing existing online platforms as much as possible without restricting any to improve the reuse of research methods and results. We further provide recommendations to overcome the main barriers: (i) Partnering with various communities to extend knowledge exchange. (ii) Following a participatory approach to improve the design and content while considering the time and resources that such a process entails. (iii) Providing flexible options to contribute and tailor overviews of available knowledge in different ways according to prospective users' roles in practice. (iv) Purposefully facilitating online interactions according to the transdisciplinary process-intended attributes.

Achieving preferred customer status with suppliers helps startups to mobilize suppliers' resources. However, in purchasing, startups also compete against large buyers for suppliers' resources. Furthermore, their newness is a liability that suppliers find unattractive. Consequently, attracting and maintaining relationships is a challenge for startups' procurement. This paper investigates the strategies that startups use to attract large suppliers, improve mutual business relationships, and receive preferential supplier treatment. Based on the preferred customership literature and world café data from 15 startup buyers and suppliers, we identified seven factors that explain how startups attract suppliers, maintain relationships with them, and achieve preferred customer status. These factors are strategic compatibility, innovation potential, startup network, credible growth opportunity, profitability, memorable experiences, and purchaser sellership.

Background Over the past decades, the therapeutic landscape has markedly changed for patients with metastatic solid cancer, yet few studies have evaluated its effect on population-based survival. The objective of this study was to evaluate the change in survival of patients with de novo metastatic solid cancers during the last 30 years. Methods For this retrospective study, data from almost 2 million patients diagnosed with a solid cancer between January 1, 1989, and December 31, 2018, were obtained from the Netherlands Cancer Registry, with follow-up until January 31, 2021. We classified patients as with or without de novo metastatic disease (M1 or M0, respectively) at diagnosis and determined the proportion with M1 disease over time. Changes in age-standardized net survival were calculated as the difference in the 1- and 5-year survival rates of patients diagnosed in 1989-1993 and 2014-2018. Results Different cancers showed divergent trends in the proportion of M1 disease and increases in net survival for M1 disease (approximately 0-50 percentage points at both 1 and 5 years). Patients with gastrointestinal stromal tumors saw the largest increases in 5-year survival, but we also observed substantial 5-year survival increases for patients with neuroendocrine tumors, melanoma, prostate cancer, and breast cancer. Conclusion Over 30 years, the survival of patients with de novo M1 disease modestly and unevenly increased among cancers. Metastatic cancer still remains a very lethal disease. Next to better treatment options, we call for better preventive measures and early detection to reduce the incidence of metastatic disease.

Purpose The added value of measuring patient-reported outcomes (PROs) for delivering patient-centered care and assessment of healthcare quality is increasingly evident. However, healthcare system wide data collection initiatives are hampered by the proliferation of patient-reported outcome measures (PROMs) and conflicting data collection standards. As part of a national initiative of the Dutch Ministry of Health, Welfare and Sport we developed a consensus-based standard set of generic PROs and PROMs to be implemented across Dutch medical specialist care. Methods A working group of mandated representatives of umbrella organizations involved in Dutch medical specialist care, together with PROM experts and patient organizations worked through a structured, consensus-driven co-creation process. This included literature reviews, online expert and working group meetings, and feedback from national patient- and umbrella organizations. The ‘PROM-cycle’ methodology was used to select feasible, valid, and reliable PROMs to obtain domain scores for each of the PROs included in the set. Results Eight PROs across different domains of health were ultimately endorsed: symptoms (pain & fatigue), functioning (physical, social/participation, mental [anxiety & depression]), and overarching (quality of life & perceived overall health). A limited number of generic PROMs was endorsed. PROMIS short forms were selected as the preferred instruments for all PROs. Several recommendations were formulated to facilitate healthcare system level adoption and implementation of the standard set. Conclusions We developed a consensus-based standard set of Generic PROMs and a set of recommendations to facilitate healthcare system wide implementation across Dutch medical specialist care.

Introduction: Numerous prediction models have been developed to support treatment-related decisions for breast cancer patients. External validation, a prerequisite for implementation in clinical practice, has been performed for only a few models. This study aims to externally validate published clinical prediction models using population-based Dutch data. Methods: Patient-, tumor- and treatment-related data were derived from the Netherlands Cancer Registry (NCR). Model performance was assessed using the area under the receiver operating characteristic curve (AUC), scaled Brier score, and model calibration. Net benefit across applicable risk thresholds was evaluated with decision curve analysis. Results: After assessing 922 models, 87 (9%) were included for validation. Models were excluded due to an incomplete model description (n = 262 (28%)), lack of required data (n = 521 (57%)), previously validated or developed with NCR data (n = 45 (5%)), or the associated NCR sample size was insufficient (n = 7 (1%)). The included models predicted survival (33 (38%) overall, 27 (31%) breast cancer-specific, and 3 (3%) other cause-specific), locoregional recurrence (n = 7 (8%)), disease free survival (n = 7 (8%)), metastases (n = 5 (6%)), lymph node involvement (n = 3 (3%)), pathologic complete response (n = 1 (1%)), and surgical margins (n = 1 (1%)). Seven models (8%) showed poor (AUC

Background: There is a need for an interview-based measure to assess Prolonged Grief Disorder (PGD) included in the text revision of the fifth Diagnostic and Statistical Manual for Mental Disorder (DSM-5-TR) and 11th edition of the International Classification of Disease (ICD-11). We evaluated the psychometric properties of the Traumatic Grief Inventory-Clinician Administered (TGI-CA); a new interview measuring DSM-5-TR and ICD-11 PGD severity and probable caseness. Methods: In 211 Dutch and 222 German bereaved adults, the: (i) factor structure, (ii) internal consistency, (iii) test-retest reliability, (iv) measurement invariance across subgroups (e.g., differing in language), (v) prevalence of probable caseness, (vi) convergent validity, and (vii) known-groups validity were examined. Results: Confirmatory factor analyses (CFAs) showed acceptable fit for the unidimensional model for DSM-5-TR and ICD-11 PGD. Omega values indicated good internal consistency. Test-retest reliability was high. Multi-group CFAs demonstrated configural and metric invariance for DSM-5-TR and ICD-11 PGD criteria for all group-comparisons; for some we found support for scalar invariance. Rates of probable caseness for DSM-5-TR PGD were lower than ICD-11 PGD. Optimal agreement in probable caseness was reached when increasing the number of accessory symptoms for ICD-11 PGD from 1+ to 3+. Convergent and known-groups validity was demonstrated for both criteria-sets. Limitations: The TGI-CA was developed to assess PGD severity and probable caseness. Clinical diagnostic interviews for PGD are needed. Conclusions: The TGI-CA seems a reliable and valid interview for DSM-5-TR and ICD-11 PGD symptomatology. More research in larger and more diverse samples is needed to further test its psychometric properties.

This reaction time study tested the hypothesis that in the case of finger movements skilled motor control involves the execution of learned hand postures. After delineating hypothetical control mechanisms and their predictions an experiment is described involving 32 participants who practiced 6 chord responses. These responses involved the simultaneous depression of one, two or three keys with either four right-hand fingers or two fingers of both hands. After practicing each of these responses for 240 trials, the participants performed the practiced and also novel chords with the familiar and with the unfamiliar hand configuration of the other practice group. The results suggest that participants learned hand postures rather than spatial or explicit chord representations. Participants practicing with both hands also developed a bimanual coordination skill. Chord execution was most likely slowed by interference between adjacent fingers. This interference seemed eliminated with practice for some chords but not for others. Hence, the results support the notion that skilled control of finger movements is based on learned hand postures that even after practice may be slowed by interference between adjacent fingers.

What is Known about the Subject?: Self-management is essential in the treatment of those who have bipolar disorder. There are many apps to support self-management, but we know that these apps only sometimes cover the users' needs. What is Added to Existing Knowledge?: In our research, we made an inventory of apps that people with bipolar disorder use to cover their needs in self-management. We also have searched for the reasons to start, continue, switch or quit the use of those apps. We found that 44% (n = 18) of our respondents use health-related apps for self-management purposes. Apps for physical activity, planning and structure and apps for relaxation were most used. In the use of apps, the “freedom of choice” and user-friendliness are the most important in continuing the use of apps, while malfunctioning and “not fitting in individual needs” the main reasons were for quitting the use of apps. Implications for Practice: Various apps can be used for self-management purposes as long as these apps meet the individual user's requirements. Clinicians and patients should have a broad view when looking for suitable apps and not limit the search to just professional apps. In developing new apps, patients, clinicians and developers should collaborate in the development process, requirements and design. Abstract: Introduction: Self-management is one of the cornerstones in the treatment of bipolar disorder (BD). Complementing interventions by apps are seen as a good opportunity to support self-management. However, there is insufficient knowledge about understanding the use of health-related applications by consumers with BD for self-management purposes. Aim: The study aims to gain insight from patients diagnosed with BD about reasons to use, continue or discontinue health-related apps. Method: This study employed a mixed-method design in which 41 participants diagnosed with BD participated in a quantitative survey, and 11 participants also participated in an in-depth interview. Results: The survey showed that 44% (n = 18) of the participants use health-related apps, and 26.8% (n = 11) use those apps consistently. Interviews revealed that adjustability, usability, trustworthiness and the guarantee of privacy were the main reasons determining whether participants used or terminated the use of a health-related app. Implications for Practice: Although we found that a substantial number of patients diagnosed with BD use one or more apps to support self-management, their use is often discontinued due to content that needs more robust to address their needs. Besides appropriate content, tailoring and persuasive technologies will likely promote the continued use of an app for self-management purposes. Cooperation between those diagnosed with bipolar disorder and health professionals (like mental health nurses) in developing and designing applications that are aimed to support self-management in BD is necessary for successful implementation and adaptation.

Purpose This study aims to examine the role of an overall model fit assessment in the context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is important to assess the overall model fit and provides ways of assessing the fit of composite models. Moreover, it will resolve major concerns about model fit assessment that have been raised in the literature on PLS-PM. Design/methodology/approach This paper explains when and how to assess the fit of PLS path models. Furthermore, it discusses the concerns raised in the PLS-PM literature about the overall model fit assessment and provides concise guidelines on assessing the overall fit of composite models. Findings This study explains that the model fit assessment is as important for composite models as it is for common factor models. To assess the overall fit of composite models, researchers can use a statistical test and several fit indices known through structural equation modeling (SEM) with latent variables. Research limitations/implications Researchers who use PLS-PM to assess composite models that aim to understand the mechanism of an underlying population and draw statistical inferences should take the concept of the overall model fit seriously. Practical implications To facilitate the overall fit assessment of composite models, this study presents a two-step procedure adopted from the literature on SEM with latent variables. Originality/value This paper clarifies that the necessity to assess model fit is not a question of which estimator will be used (PLS-PM, maximum likelihood, etc). but of the purpose of statistical modeling. Whereas, the model fit assessment is paramount in explanatory modeling, it is not imperative in predictive modeling.

Purpose In their paper titled “A Miracle of Measurement or Accidental Constructivism? How PLS Subverts the Realist Search for Truth,” Cadogan and Lee (2022) cast serious doubt on PLS’s suitability for scientific studies. The purpose of this commentary is to discuss the claims of Cadogan and Lee, correct some inaccuracies, and derive recommendations for researchers using structural equation models. Design/methodology/approach This paper uses scenario analysis to show which estimators are appropriate for reflective measurement models and composite models, and formulates the statistical model that underlies PLS Mode A. It also contrasts two different perspectives: PLS as an estimator for structural equation models vs. PLS-SEM as an overarching framework with a sui generis logic. Findings There are different variants of PLS, which include PLS, consistent PLS, PLSe1, PLSe2, proposed ordinal PLS and robust PLS, each of which serves a particular purpose. All of these are appropriate for scientific inquiry if applied properly. It is not PLS that subverts the realist search for truth, but some proponents of a framework called “PLS-SEM.” These proponents redefine the term “reflective measurement,” argue against the assessment of model fit and suggest that researchers could obtain “confirmation” for their model. Research limitations/implications Researchers should be more conscious, open and respectful regarding different research paradigms. Practical implications Researchers should select a statistical model that adequately represents their theory, not necessarily a common factor model, and formulate their model explicitly. Particularly for instrumentalists, pragmatists and constructivists, the composite model appears promising. Researchers should be concerned about their estimator’s properties, not about whether it is called “PLS.” Further, researchers should critically evaluate their model, not seek confirmation or blindly believe in its value. Originality/value This paper critically appraises Cadogan and Lee (2022) and reminds researchers who wish to use structural equation modeling, particularly PLS, for their statistical analysis, of some important scientific principles.

Objective: There are considerable differences in how eating disorder (ED) patients respond to treatment. This study aimed to identify change trajectories of mental health during treatment. Method: Longitudinal data of 442 patients was used with five time points during a year of outpatient treatment. ED psychopathology and well-being were used as primary measures. A series of latent growth mixture models were applied to model trajectories of change. Results: Three latent classes were found for ED psychopathology and well-being. For ED psychopathology, a high baseline severity and slow recovery class (55.9% of the patients), a high baseline severity followed by a substantial recovery class (19.9%) and a moderate baseline severity and no significant recovery class (24.2%) were found. For well-being, a low baseline followed by a slow growth class (44.6%), a low baseline and substantial growth class (9.5%) and a moderate and stable well-being class (45.9%) was found. General psychopathology, early symptom change, hope for recovery, intrinsic motivation and the ED type were predictive of class membership in either ED psychopathology or well-being. Conclusions: This study shows variability in ED psychopathology and well-being change trajectories, modelled in meaningful latent recovery classes. These results may have clinical implications, such as adjusting patients’ treatment based on change trajectories.

Noise action planning (NAP) requires collaboration among stakeholders, given the harmful health effects of noise and the subjectivity of how individuals perceive noise. Maptables can be used to mediate in such a collaborative spatial planning process. However, open software applications specifically designed for those devices are still limited or mismatched with user needs. This study presents the co-design and development process of an Open Geo-Spatial Interactive Tool (OGITO-noise) intended for maptables users. We explore to what extent such a tool can be usable and useful in supporting collaborative NAP in practice. Our methods combine agile software development and human-centered design (HCD) in a hybrid fashion, namely remote co-design meetings and face-to-face testing, to develop an open application that our intended users found useful. Those methods were utilized during a pandemic but can also be used when dealing with geographic or resource limitations.

Polymer brush layers are responsive materials that swell in contact with good solvents and their vapors. We deposit drops of an almost completely wetting volatile oil onto an oleophilic polymer brush layer and follow the response of the system upon simultaneous exposure to both liquid and vapor. Interferometric imaging shows that a halo of partly swollen polymer brush layer forms ahead of the moving contact line. The swelling dynamics of this halo is controlled by a subtle balance of direct imbibition from the drop into the brush layer and vapor phase transport and can lead to very long-lived transient swelling profiles as well as nonequilibrium configurations involving thickness gradients in a stationary state. A gradient dynamics model based on a free energy functional with three coupled fields is developed and numerically solved. It describes experimental observations and reveals how local evaporation and condensation conspire to stabilize the inhomogeneous nonequilibrium stationary swelling profiles. A quantitative comparison of experiments and calculations provides access to the solvent diffusion coefficient within the brush layer. Overall, the results highlight the—presumably generally applicable—crucial role of vapor phase transport in dynamic wetting phenomena involving volatile liquids on swelling functional surfaces.

Urban floods can cause significant damage and are expected to become more common due to climate change. Previous research has identified that climate change adaptation in cities requires the development of blue-green infrastructure (BGI), and it is expected that cities can leapfrog to a water-sensitive state by implementing BGI. However, leapfrogging is context-dependent, and little is known about how governance factors affect leapfrogging, particularly in midsize cities. This paper addresses this knowledge gap, providing empirical insights into leapfrogging by assessing the governance factors that support or restrict BGI implementation in Zwolle (The Netherlands) towards reaching a water-sensitive state. For the analysis, we employ a governance assessment tool and three catalytic factors that promote leapfrogging. The results show that the governance context supports leapfrogging at a moderate to high level. This means that while the governmental levels and stakeholder networks collaborate to support climate change adaptation of the city, new legislation on BGI and citizens’ involvement in climate change adaptation projects could increase the leapfrog possibilities for Zwolle in achieving its goal of becoming climate-proof by 2050.

New technologies are gaining ground in various disciplines, and road safety is not an exception. The objective of this paper is twofold: (1) to review the state-of-the-art technologies implemented in bicycles to improve cyclists’ safety, and (2) to propose a classification for the levels of smartness of emerging “smart bikes”. This paper defines six levels of smartness for bicycles based on their functionality and evaluates the Technology Readiness Levels of bicycle technologies. Furthermore, areas for future research were identified and discussed. To achieve these, we conducted a literature review which employed two academic databases –Scopus and Web of Science– and the Google Scholar search engine, following the framework of the systematic literature review methodology for the search and selection process. A total of 36 studies that met the inclusion criteria were investigated. The majority of these studies focus on warning systems aiming to forestall an imminent collision, mostly by using accelerometers/gyroscopes, LIDAR, sensors and networking communication. These systems, despite their preliminary state, demonstrate a positive effect on cyclists’ safety. The review concludes that there is a need for further deployment and testing of such systems with field trials to gain concrete evidence regarding their impact on cyclists’ safety. It also highlights that advanced technologies are scarcely implemented in bicycles and that most smart bicycle systems are based on smartphones. Thus, the question is: what lies in the future of smart bicycles from today’s perspective?.

In designing effective catalysts, one must consider how to control the accessibility and activity of the active sites. Inspired by nature, we have leveraged the chemistry of thermoresponsive poly(N-isopropylacrylamide) (p-NIPAM) to tailor the extent of solvation of the transition state key surface reaction intermediates during the hydrogenation of nitrobenzene to aniline on Pd/SiO2. Detailed reaction kinetics, catalyst characterization, and NMR diffusion-ordered spectroscopy (DOSY)/nuclear Overhauser effect spectroscopy (NOESY) experiments indicate that nitrobenzene reduction is co-limited by both the formation and the hydrodeoxygenation of phenylhydroxylamine (PHA) to aniline (AN) precursor. Transition-state treatment of the kinetic data revealed that when the temperature is below the lower critical solution temperature (LCST) of p-NIPAM (32 °C), the apparent enthalpy of activation decreases 3-fold. This change was attributed to the drop in the apparent enthalpy of activation when the polymer was in a swollen state. A concomitant reduction in the apparent entropy of activation was obtained at these conditions, indicative of losses in the degree of freedom of the kinetically relevant intermediate (i.e., surface hydrogen). At temperatures above the LCST, it was possible to reverse these effects, leading to similar apparent activation energy as that observed in the Pd/SiO2 catalyst. These results establish the foundational work on the development of materials capable of taming the intrinsic activity of the active site in a fast, reversible manner. We envision that these results will facilitate the development of catalysts that can mimic the homeostatic behavior of enzymes, allowing more stable operation even when complex feedstocks are employed (e.g., biomass conversion and pollution control).

This paper presents and evaluates a role-play simulation called ‘Theatrical Technology Assessment’, in which students learn about complex stakeholder dynamics around emerging technologies. This role-play combines insights from Constructive Technology Assessment, improvisational theatre and educational role-play designs. It was implemented in an online setting with bachelor students of an interdisciplinary engineering programme. Based on collected chat conversations and reflection reports in seven different simulations, we qualitatively analysed what students learned about stakeholder dynamics. The study shows that students gained novel and relevant insights regarding stakeholder perspectives on technologies, the effects of uncertainties on decision making, collective stakeholder dynamics, and strategies to steer technology development. Students considered the role-play simulations to be engaging learning experiences. The dual set-up of the role-play, with students as players and co-designers, and the integral use of improvisational theatre are novel elements of educational role-play designs.

Current laboratory-based setups (optical marker cameras + force plates) for human motion measurement require participants to stay in a constrained capture region which forbids rich movement types. This study established a fully wearable system, based on commercially available sensors (inertial measurement units + pressure insoles), that can measure both kinematic and kinetic motion data simultaneously and support wireless frame-by-frame streaming. In addition, its capability and accuracy were tested against a conventional laboratory-based setup. An experiment was conducted, with 9 participants wearing the wearable measurement system and performing 13 daily motion activities, from slow walking to fast running, together with vertical jump, squat, lunge, and single-leg landing, inside the capture space of the laboratory-based motion capture system. The recorded sensor data were post-processed to obtain joint angles, ground reaction forces (GRFs), and joint torques (via multi-body inverse dynamics). Compared to the laboratory-based system, the established wearable measurement system can measure accurate information of all lower limb joint angles (Pearson’s r = 0.929), vertical GRFs (Pearson’s r = 0.954), and ankle joint torques (Pearson’s r = 0.917). Center of pressure (CoP) in the anterior–posterior direction and knee joint torques were fairly matched (Pearson’s r = 0.683 and 0.612, respectively). Calculated hip joint torques and measured medial–lateral CoP did not match with the laboratory-based system (Pearson’s r = 0.21 and 0.47, respectively). Furthermore, both raw and processed datasets are openly accessible (https://doi.org/10.5281/zenodo.6457662). Documentation, data processing codes, and guidelines to establish the real-time wearable kinetic measurement system are also shared (https://github.com/HuaweiWang/WearableMeasurementSystem).

In this article, we defend the semantic theory, Question Under Discussion (QUD) Contextualism about Reasons that we develop in our monograph Semantics for Reasons against a series of objections that focus on whether our semantics can deliver predictions for some common examples, how we defend the semantic theory, and how we assess it compared to its competitors.

We have determined the temperature dependent phase diagram of the square 2D Ising lattice with anisotropic nearest neighbor ((Formula presented.)) and isotropic next-nearest neighbor ((Formula presented.)) interactions. The phase boundaries between the various ordered phases (ferromagnetic, antiferromagnetic and striped antiferromagnetic) and the disordered phase (paramagnetic) are obtained by considering the domain wall free energy. Although the phase boundary equations are not exact, they provide a very accurate description when the nearest neighbor interactions are stronger than the next-nearest neighbor interaction. The square 2D Ising lattice does not exhibit a phase transition when (Formula presented.) if (Formula presented.) and (Formula presented.) have the same sign or (Formula presented.) if (Formula presented.) and (Formula presented.) have opposite signs.

Single-chain polymer nanoparticles (SCNPs) are a well-defined and uniquely sized class of polymer nanoparticles. The advances in polymer science over the past decades have enabled the development of a variety of intramolecular crosslinking systems, leading to particles in the 5–20 nm size regime. Which is aligned with the size regime of proteins and therefore making SCNPs an interesting class of NPs for biomedical applications. The high modularity of SCNP design and the ease of their functionalization have led to growing research interest. In this review, we describe different crosslinking systems, as well as the preparation of functional SCNPs and the variety of biomedical applications that have been explored.

Objective: We aim to provide a quantitative description of the relation between seizure duration and the postictal state using features extracted from the postictal electroencephalogram (EEG). Methods: Thirty patients with major depressive disorder treated with electroconvulsive therapy (ECT) were studied with continuous EEG before, during, and after ECT-induced seizures. EEG recovery was quantified as the spectral difference between postictal and baseline EEG using the temporal brain symmetry index (BSI). The postictal temporal EEG evolution was modeled with a single exponential. The parameters of the model, including the time constant τ, describe the change and speed of postictal EEG recovery. The change from baseline EEG at t = 60 minutes post-seizure (ΔBSI) was calculated from the exponential fit. Postictal clinical reorientation time (ROT) was clinically established. A multivariate generalized multi-level Bayesian model was estimated with seizure duration and ROT as predictors of τ and ΔBSI. Results: EEG features of 290 seizures and postictal states were used for analyses. The model faithfully described the dynamics of the postictal EEG in nearly all patients. Seizure duration was associated with the recovery time constant, τ, and ΔBSI. ROT was associated with τ, but not with ΔBSI. Conclusions: Longer seizures are associated with slower postictal EEG recovery and more enduring EEG changes compared to baseline. Significance: Quantitative EEG allows objective assessment of the postictal state.

At some point during transport, intermodal containers will be stored at a terminal, where they are typically stacked on top of each other. Stacking yields a higher utilization of the area but may lead to unproductive reshuffle moves when containers below another need to be retrieved. Preventing reshuffles has a financial benefit, as it not only avoids the costs of executing the reshuffle but also decreases the time needed to retrieve a container. Typically, researchers consider only the retrieval of containers and assume the retrieval order is fully known. In addition, existing studies do not consider the stacking restrictions imposed by a reach stacker, which is commonly used in smaller inland terminals. This research aims to design decision support for determining real-life applicable container stack allocations so that the expected number of reshuffles is minimized. We propose a model that includes both arrivals and departures of containers as well as a certain level of uncertainty in the order thereof. The problem is modeled as a Markov Decision Process and solved using Approximate Dynamic Programming (ADP). Through numerical experiments on real-life problem instances, we conclude that the ADP approach drastically outperforms a benchmark heuristic from the literature. All data used as well as the source code has been made publicly available.

The Bias Extension test is commonly used for material characterisation in shear, providing essential input to composites forming simulations. Specimens of different sizes are used, with some preference for the minimum length-to-width ratio of 2. A static equilibrium analysis is presented to derive the forces and stress distribution in a test specimen of this minimum aspect ratio. The stress distribution is shown to depend on two variables, while usually only one (the pulling force) is measured. The central region of relatively longer specimens is generally subject to non-homogeneous boundary conditions, causing non-uniform deformations which can hamper accurate material characterisation. In addition, the analysis demonstrates that the major part of the pulling force is carried by the outer fibres, further emphasizing the need for critical preparation and evaluation of bias extension testing if high accuracy characterisation is needed.

Bubble-particle collisions in turbulence are central to a variety of processes such as froth flotation. Despite their importance, details of the collision process have not received much attention yet. This is compounded by the sometimes counter-intuitive behaviour of bubbles and particles in turbulence, as exemplified by the fact that they segregate in space. Although bubble-particle relative behaviour is fundamentally different from that of identical particles, the existing theoretical models are nearly all extensions of theories for particle-particle collisions in turbulence. The adequacy of these theories has yet to be assessed as appropriate data remain scarce to date. In this investigation, we study the geometric collision rate by means of direct numerical simulations of bubble-particle collisions in homogeneous isotropic turbulence using the point-particle approach over a range of the relevant parameters, including the Stokes and Reynolds numbers. We analyse the spatial distribution of bubble and particles, and quantify to what extent their segregation reduces the collision rate. This effect is countered by increased approach velocities for bubble-particle compared to monodisperse pairs, which we relate to the difference in how bubbles and particles respond to fluid accelerations. We found that in the investigated parameter range, these collision statistics are not altered significantly by the inclusion of a lift force or different drag parametrisations, or when assuming infinite particle density. Furthermore, we critically examine existing models and discuss inconsistencies therein that contribute to the discrepancy., 29 pages, 18 figures to be published in Journal of Fluid Mechanics

We consider inequalities within households to be an important step for increasing our understanding of digital inequalities perpetuated by smart homes. We argue that the key to understanding the use of the Internet of Things is household choreographies rather than individual practices. We specifically address different power relations between household members in regard to their use of IoT devices. Using interview data collected through five visits to 30 households in 15 months, we use abductive analysis to develop our framework that has three dimensions: materiality, accessibility, and harmony. We find that acceptance of the IoT’s materiality by all household members is key, but household rules are also crucial to how well the IoT can operate. Parents can more precisely moderate their children, and data and privacy also require more moderation. In addition, the IoT can help complex household choreographies, but household choreographies that are too complex can hinder IoT use. Finally, we note that traditional gender roles remain prevalent in smart homes.

For an edge-colored graph, its minimum color degree is the minimum number of distinct colors appearing on the edges incident with a vertex, and its maximum monochromatic degree is the maximum number of edges with the same color incident with a vertex. A cycle in an edge-colored graph is called properly colored if any two consecutive edges of the cycle have distinct colors. We investigate sufficient conditions in terms of the minimum color degree and maximum monochromatic degree for the existence of short properly colored cycles in edge-colored complete graphs. In particular, we obtain sharp results for the existence of properly colored C4’s, and we characterize the extremal graphs for several known results on the existence of properly colored triangles. Moreover, we obtain sharp sufficient conditions guaranteeing that every vertex is contained in a properly colored triangle or C4, respectively.

Complexity is often regarded as a “problem” to solve. Instead of yet again attempting to solve complexity, we follow systems engineering practices and switch back to the problem domain. A major obstacle in the problem domain is the impossibility to universally define complexity. As a workaround, we explored complexity characterization and identified shortcomings of the existing characterizations. The shortcomings include lack of standardization, inconsistent semantics, system-centricity, insufficiently transparent reasoning, and lack of validation. To address these shortcomings, we proposed a framework to characterize complexity by adapting three questions (who, why, what) from the Five Ws information-gathering method. The answer to the WHO-question proposed four complexity viewpoints; the answer to the WHY-question proposed a two-dimensional structure to identify complexity drivers; and the answer to the WHAT-question derived generalized complexity challenges. We used a systematic mapping study (SMS) to validate the framework. In general, our findings suggest that papers with complexity solutions do not frame their research within the complexity problem domain, hindering the contribution evaluation. Through the viewpoints, we identified general research gaps of six solution directions. From the drivers, we noted three observations in the discourse of complexity origins: 1) a system-driven tendency, 2) a preference for concreteness vs. abstraction, and 3) an unclear distinction between origins and effects. Through the challenges’ findings we supported two hypotheses: 1) a system-centric preference; and 2) a solution-oriented vision. This application of our framework exemplifies its potential to facilitate and structure future research, both in the problem and solution domains.

Mass production of green hydrogen via water electrolysis requires advancements in the performance of electrocatalysts, especially for the oxygen evolution reaction. In this feature article, we highlight how epitaxial nickelates act as model systems to identify atomic-level composition-structure-property-activity relationships, capture dynamic changes under operating conditions, and reveal reaction and failure mechanisms. These insights guide advanced electrocatalyst design with tailored functionality and superior performance. We conclude with an outlook for future developments via operando characterization and multilayer electrocatalyst design.

Summary: The AHFS90 was developed for the prediction of early mortality in patients ≥ 90 years undergoing hip fracture surgery. The AHFS90 has a good accuracy and in most risk categories a good calibration. In our study population, the AHFS90 yielded a maximum prediction of early mortality of 64.5%. Purpose: Identifying hip fracture patients with a high risk of early mortality after surgery could help make treatment decisions and information about the prognosis. This study aims to develop and validate a risk score for predicting early mortality in patients ≥ 90 years undergoing hip fracture surgery (AHFS90). Methods: Patients ≥ 90 years, surgically treated for a hip fracture, were included. A selection of possible predictors for mortality was made. Missing data were subjected to multiple imputations using chained equations. Logistic regression was performed to develop the AHFS90, which was internally and externally validated. Calibration was assessed using a calibration plot and comparing observed and predicted risks. Results: One hundred and two of the 922 patients (11.1%) died ≤ 30 days following hip fracture surgery. The AHFS90 includes age, gender, dementia, living in a nursing home, ASA score, and hemoglobin level as predictors for early mortality. The AHFS90 had good accuracy (area under the curve 0.72 for geographic cross validation). Predicted risks correspond with observed risks of early mortality in four risk categories. In two risk categories, the AHFS90 overestimates the risk. In one risk category, no mortality was observed; therefore, no analysis was possible. The AHFS90 had a maximal prediction of early mortality of 64.5% in this study population. Conclusion: The AHFS90 accurately predicts early mortality after hip fracture surgery in patients ≥ 90 years of age. Predicted risks correspond to observed risks in most risk categories. In our study population, the AHFS90 yielded a maximum prediction of early mortality of 64.5%.

Background: Both patients with obstructive coronary artery disease (CAD) and patients with peripheral arterial disease (PADs) have an increased bleeding risk. Information is scarce on bleeding in CAD patients, treated with percutaneous coronary intervention (PCI), who have comorbid PADs. We assessed whether PCI patients with PADs have a higher bleeding risk than PCI patients without PADs. Furthermore, in PCI patients with PADs we evaluated the extent by which bleeding increased the risk of further adverse events. Methods: Three-year pooled patient-level data of two randomized PCI trials (BIO-RESORT, BIONYX) with drug-eluting stents were analyzed to assess mortality and the composite endpoint major adverse cardiac events (MACE: all-cause mortality, any myocardial infarction, emergent coronary artery bypass surgery, or target lesion revascularization). Results: Among 5989 all-comer patients, followed for 3 years, bleeding occurred in 7.7% (34/440) with comorbid PADs and 5.0% (279/5549) without PADs (HR: 1.59, 95%CI: 1.11–2.23, p = 0.010). Of all PADs patients, those with a bleeding had significantly higher rates of all-cause mortality (HR: 4.70, 95%CI: 2.37–9.33, p < 0.001) and MACE (HR: 2.39, 95%CI: 1.23–4.31, p = 0.003). Furthermore, PADs patients with a bleeding were older (74.4 ± 6.9 vs. 67.4 ± 9.5, p < 0.001). After correction for age and other potential confounders, bleeding remained independently associated with all-cause mortality (adj.HR: 2.97, 95%CI: 1.37–6.43, p = 0.006) while the relation of bleeding with MACE became borderline non-significant (adj.HR: 1.85, 95%CI: 0.97–3.55, p = 0.06). Conclusion: PCI patients with PADs had a higher bleeding risk than PCI patients without PADs. In PADs patients, bleeding was associated with all-cause mortality, even after adjustment for potential confounders.

Space-borne digital elevation models (DEM) are considered as important proxy for canopy surface height and its changes in forests. Interferometric TanDEM-X DEMs were assessed regarding their accuracy in forests of Germany and Estonia. The interferometric synthetic aperture radar (InSAR) data for the new global TanDEM-X DEM 2020 coverage were acquired between 2017 and 2020. Each data acquisition was processed using the delta-phase approach for phase unwrapping and comprise an absolute height calibration. The results of the individual InSAR heights confirmed a substantial bias in forests. This was indicated by a mean error (ME) between – 5.74 and – 6.14 m associated with a root-mean-squared-error (RMSE) between 6.99 m and 7.40 m using airborne light detection and ranging (LiDAR) data as a reference. The bias was attributed to signal penetration, which was attempted to be compensated. The ME and RMSE improved substantially after the compensation to the range of – 0.54 to 0.84 m and 3.55 m to 4.52 m. Higher errors of the penetration depth compensated DEMs compared to the original DEMs were found in non-forested areas. This suggests to use the penetration compensation only in forests. The potential of the DEMs for estimating height changes was further assessed in a case study in Estonia. The canopy height change analysis in Estonia indicated an overall accuracy in terms of RMSE of 4.17 m and ME of – 0.93 m on pixel level comparing TanDEM-X and LiDAR height changes. The accuracy improved substantially at forest stand level to an RMSE of 2.84 m and an ME of – 1.48 m. Selective penetration compensation further improved the height change estimates to an RMSE of 2.14 m and an ME of – 0.83 m. Height loss induced by clearcutting was estimated with an ME of – 0.85 m and an RMSE of 3.3 m. Substantial regrowth resulted in an ME of – 0.46 m and an RMSE of 1.9 m. These results are relevant for exploiting multiple global acquisitions of TanDEM-X, in particular for estimating canopy height and its changes in European forests.

Since tumor stroma poses as a barrier to achieve efficacy of nanomedicines, it is essential to evaluate nano-chemotherapeutics in stroma-mimicking 3D models that reliably predict their behavior regarding these hurdles limiting efficacy. In this study, we evaluated the effect of paclitaxel-loaded polymeric micelles (PTX-PMCs) and polymeric nanoparticles (PTX-PNPs) in a tumor stroma–mimicking 3D in vitro model. PTX-PMCs (77 nm) based on a amphiphilic block copolymer of mPEG-b-p(HPMAm-Bz) and PTX-PNPs (159 nm) based on poly(lactic-co-glycolic acid) were prepared, which had an encapsulation efficiency (EE%) of 81 ± 15% and 45 ± 8%, respectively. 3D homospheroids of mouse 4T1 breast cancer cells and heterospheroids of NIH3T3 fibroblasts and 4T1 (5:1 ratio) were prepared and characterized with high content two-photon microscopy and immunostaining. Data showed an induction of epithelial-mesenchymal transition (α-SMA) in both homo- and heterospheroids, while ECM (collagen) deposition only in heterospheroids. Two-photon imaging revealed that both fluorescently labeled PMCs and PNPs penetrated into the core of homospheroids and only PMCs penetrated into heterospheroids. Furthermore, PTX-PMCs, PTX-PNPs, and free PTX induced cytotoxicity in tumor cells and fibroblasts grown as monolayer, but these effects were substantially reduced in 3D models, in particular in heterospheroids. Gene expression analysis showed that heterospheroids had a significant increase of drug resistance markers (Bcl2, Abgc2) compared to 2D or 3D monocultures. Altogether, this study shows that the efficacy of nanotherapeutics is challenged by stroma-induced poor penetration and development of resistant phenotype. Therefore, this tumor stroma–mimicking 3D model can provide an excellent platform to study penetration and effects of nanotherapeutics before in vivo studies. Graphical Abstract

Chemically induced transport methods open up new opportunities for colloidal transport in dead-end channel geometries. Diffusiophoresis, which describes particle movement under an electrolyte concentration gradient, has previously been demonstrated in dead-end channels. The presence of solute concentration gradients in such channels induces particle motion (phoresis) and fluid flow along solid walls (osmosis). The particle velocity inside a dead-end channel is thus influenced by particle diffusiophoresis and wall diffusio-osmosis. The magnitude of phoresis and osmosis depends on the solute’s relative concentration gradient, the electrokinetic parameters of the particle and the wall, and the diffusivity contrast of cations and anions. Although it is known that some of those parameters are affected by electrolyte concentration, e.g., zeta potential, research to date often interprets results using averaged and constant zeta potential values. In this work, we demonstrate that concentration-dependent zeta potentials are essential when the zeta potential strongly depends on electrolyte concentration for correctly describing the particle transport inside dead-end channels. Simulations including concentration-dependent zeta potentials for the particle and wall matched with experimental observations, whereas simulations using constant, averaged zeta potentials failed to capture particle dynamics. These results contribute to the fundamental understanding of diffusiophoresis and the diffusio-osmosis process.

Traditional acquisition of height data to generate normalized digital surface models (nDSMs) of very high spatial resolution is time-consuming and expensive. Height estimation by means of optical remote sensing images is a more efficient and timely way to do so. Recent studies employed supervised learning methods. State-of-the-art computer vision methods, however, overlook semantic consistency during remote sensing image translation and neglect multi-task correlations for specific task learning. To address these problems, this paper proposes a semantic-aware unsupervised domain adaptation method for height estimation. The method consists of image translation and multitask representation learning for height estimation. We tested the transferability of our method from the ISPRS Postdam data set to the Vaihingen data set and a custom dataset of Enschede. In the image translation task, our method improved the Fréchet Inception Distance (FID) metric by at least 12.8% and 12.1% on the two datasets, respectively. In the height estimation task, our method achieved RMSEs of 3.257 m and 3.875 m, which are at least 0.603 m and 0.072 m lower than the compared unsupervised algorithm, and achieved competitive results with the supervised learning algorithm. Our results show the advantages of the proposed method in height estimation and image translation as compared to alternative strategies. We conclude that adding semantic supervision improves height estimation from single-view orthophoto under unsupervised domain adaptation. It also alleviates the problem of limited access to nDSM data for training the method.

The predictability of pyrolysis yields and product composition of mixed plastics has been studied. To do so, pyrolysis of virgin polymers (HDPE, LDPE, PP, PS and PET) and eight individual sorting categories from a real waste DKR-350 stream (PE rigid/film, PP rigid/film, PET, PS, multilayer flexibles, and clogged materials) was performed in a batch reactor at 500 °C at laboratory scale. The obtained oil/wax, gas, and solid yields and the composition of oil/wax of those individual feedstocks were used as input of a superposition model to predict the corresponding pyrolysis yields and oil/wax composition of mixed feeds, which were later compared with the experimentally measured product yields from the pyrolysis of those mixed streams. This linear model predicts the oil/wax yield of the mixed streams to a reasonable extent, with a maximum yield deviation (overestimation) of 8 percentage points. However, the presence of significant amounts of PET (above 33 wt%) in the mixed plastic streams negatively impacts the production of the condensable product and promotes the formation of solid products beyond the expected predicted values. Quantification of the type of carbon (aliphatic, aromatic and carbonyl) present in all the oil/wax products was done using 13C NMR spectroscopy. A linear model could also predict the aliphatic carbon yield in the condensable product from plastic waste streams with high accuracy (maximum yield difference of 6 percentage points). However, the aromatic carbon yield could not be predicted, probably due to the observed behavior of PET, which interacts with other polymers to promote solid product formation.

A novel in-plane bending test was used to study edge ductility in DP800 as a common advanced high-strength steel in the car industry. The test utilized the digital image correlation technique to measure the local and average fracture strain values along the edge of the specimen. In contrast to the widely used hole expansion capacity test, the impact of punch friction, contact stress, and out-of-plane strain on edge ductility is eliminated by removing the punch. Also, the strain gradient inherent to the beam bending provides a controlled crack propagation path, making crack tracking easier than the sheared edge tensile test. The proposed bending test was utilized to investigate the influence of material orientation, cutting parameters, and global strain gradient on edge fracture strain. A correlation was observed between edge ductility, material orientation, and cutting tool sharpness, while the average fracture strain was independent of the strain gradient. The outcome shows that the in-plane bending test is reliable for determining edge ductility in any desired material orientation.

Collimating and concentrating broad-band diffused light can increase the yield, decrease the cost, and open new opportunities for solar-generated electricity. Adherence to the second law of thermodynamics requires that collimation, and therefore the reduction of étendue or entropy, of diffused sunlight, i.e., light scattered by clouds or the atmosphere, can only occur if the photons lose energy during the process. This principle has been demonstrated in luminescent solar concentrators; solar photons are energetically down-shifted by a luminophore and the emitted photons are trapped within a transparent matrix and guided toward an edge lining solar cell. However, this process suffers from low efficiency as the photons are trapped within the waveguide for a long time, encountering many instances of accumulating loss mechanisms. Here, we theoretically describe and experimentally demonstrate the first free-space diffused light collimation system which overcomes these efficiency losses. The high photon energy solar spectrum is allowed to enter the system from all angles, whereas the re-emitted luminescent photons can only escape under a desired emission cone. We achieved this through doping a polymethylmetacrylate waveguide with Lumogen Red dye, which we cover on one side with a Lambertian reflector for photon recycling and induced randomization and on the top face with a complex multilayer dielectric nanophotonic coating stack. We experimentally found an angular concentration of 118% within the designed escape cone, where isotropic emission corresponds to 100%, thereby verifying the reduction of étendue in free space experimentally. Such free-space collimation systems will enable efficient redirection of sunlight toward solar panels, thereby increasing yield, decreasing heating through the emission of low energy photons, and expanding the range of available surfaces from which sunlight can be harvested.

PurposeBoth high reliability theory (HRT) and “new school” supply chain resilience (SCR) promote a multi-layered, adaptable, transformational, and holistic perspective on organizing and managing. The authors explore whether, and if so how, HRT offer fresh perspectives on the SCR challenges experienced during COVID-19 and on organizing for future resilience.Design/methodology/approachAddressing SCR at the interorganizational network level, and blending theory synthesis and case study research, the authors assess if and how HRN constructs and practices can guide analysis of SCR in dynamic, complex networks, and help shape development pathways towards organizing for resilience. Findings draw on thick description and iterative coding of data (58 interviews and 200+ documents) on the buyer network responsible for managing the supply of critical medical products in the Netherlands.FindingsHRT highlights the interconnectedness of challenges encountered during COVID-19 and helps design future resilience through three lessons. Organizing for SCR requires (1) both anticipation and containment strategies, (2) stable working relationships characterized by trust, and (3) a clear basis of command underpinned by experience-based legitimacy.Originality/valueDistinctive from SCR, which views crises as “black swans”, HRT organizes around everyday consideration of the risk of failure. Taking a buyer network perspective, the authors move beyond the buyer-supplier network focus in SCR. The authors contend that emphasis on measures such as supplier base management, stockpiling, and domestic production are essential but not sufficient. Rather, HRT implies that deep structural and social ties within the buyer network should also be emphasized.

Plutonium-specific supported liquid membranes were developed and reported for the first time. The studies included in this paper are on the supported liquid membrane transport behavior of Pu(IV), Am(III) and U(VI) investigated using two tripodal amides viz. N,N,N,’N,’N,”N”-hexa-n-octylnitrilotriacetamide (HONTA) and N,N,N,’N,’N,”N”-hexa-n-dodecylnitrilotriacetamide (HDDNTA). The feed phase consisted of 3 M HNO3 while 0.5 M oxalic acid +0.5 M HNO3 was used as the strip phase. The SLM studies indicated 78.2% and 86.2% transport of plutonium(IV) after 4 h using 0.08 M concentrations of HONTA and HDDNTA, respectively, and the transport of Am(III) and U(VI) was

Darcy's law describes the flow of Newtonian fluids through bulk porous media as the product of the applied pressure difference, the fluid's viscosity and the medium's permeability. Brinkman extended Darcy's law with a viscous stress term, thereby enabling boundary conditions to the flow field at the surface of the medium. The validity of Brinkman's term, and the value of its effective viscosity, have been heavily debated since their introduction nearly 75 years ago. We use experiments and Multibody Dissipative Particle Dynamics (MDPD) simulations to study flows through ordered and disordered pillar arrays in microfluidic channels of limited height. We find that the simulated velocity profiles are well described by an expedient interpretation of Brinkman's theory. Depending on the solid volume fraction and pillar arrangement, the effective viscosity varies between two and three times the bulk fluid viscosity. The calculated effective permeabilities of the flow devices, combining the flow resistances due to the pillars and the walls by Brinkman's theory, agree well with the experimental data. This approach enables fast and accurate estimates of the effective permeability of micropillared chips. The simulated force distributions over the walls and pillars require an effective viscosity equal to the bulk viscosity and an elevation-dependent permeability of the pillar array.

Crotonic acid (CA) and trans-2-pentenoic acid (2-PA) can be obtained from renewable resources by pyrolysis of the bio-based poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) copolymer. In this study, direct pyrolysis of the PHBV-enriched biomass into CA and 2-PA was studied under an inert atmosphere and N2 carrier gas flow, aiming at obtaining high acid yields from mixed microbial cultures (MMCs). The highest yields of 80 ± 2% for CA and 67 ± 1% for 2-PA were obtained at conditions of 240 °C, 1 h, and 0.15 L/min nitrogen flow rate, corresponding to a mean hot vapor residence time of 20 s. A similar acid yield was achieved when the pyrolysis was performed under reduced pressure (150 mbar) instead of using nitrogen gas. The combined pyrolysis of extracted PHBV at 220 °C and 90 min with vapor fractionation by distillation resulted in yields of 81 and 92% for CA and 2-PA, respectively.

Malaria is an infectious disease transmitted by mosquitos, whose control is hampered by drug resistance evolution in the causing agent, protist parasites of the genus Plasmodium, as well as by the resistance of the mosquito to insecticides. New approaches to fight this disease are, therefore, needed. Research into targeted drug delivery is expanding as this strategy increases treatment efficacies. Alternatively, targeting the parasite in humans, here we use single-chain polymer nanoparticles (SCNPs) to target the parasite at the ookinete stage, which is one of the stages in the mosquito. This nanocarrier system provides uniquely sized and monodispersed particles of 5-20 nm, via thiol-Michael addition. The conjugation of succinic anhydride to the SCNP surface provides negative surface charges that have been shown to increase the targeting ability of SCNPs to Plasmodium berghei ookinetes. The biodistribution of SCNPs in mosquitos was studied, showing the presence of SCNPs in mosquito midguts. The presented results demonstrate the potential of anionic SCNPs for the targeting of malaria parasites in mosquitos and may lead to progress in the fight against malaria.

This work presents a comparative theoretical analysis of spatial modal evolution in micro/nano-optical fiber (MNF) tapers. The study proposes the use of the Spectral Parameter Power Series (SPPS) Method and compares its performance with results from the so-called Exact Modes Method (EMM) and the Finite Element Method (FEM) (the method employed by the COMSOL© software in which the computations were implemented). By using these techniques, the modal analysis and intensity evolution are discussed along different sections of the optical fiber taper. Furthermore, the data are compared considering experimental values from a real micro/nano-optical fiber taper sample. The SPPS method offers a competitive accuracy and versatility to deal with graded index profiles, its computational costs are low, and its implementation is relatively easy. The results from the SPPS method fit to those of the EM method, which sometimes involves intricated models, and those of the FEM, which may require more computational time. The SPPS method offers an average relative error of less than 5% with respect to the exact method with less computational cost compared to the FEM method for radii bigger than 2 μm at 1550 nm.

In clinical practice, clinicians mainly focus on Chronic Obstructive Pulmonary Disease (COPD) exacerbations and symptoms, while patients may prefer to evaluate periods free of COPD exacerbations and deteriorated symptoms. The latter would suit the positive health approach that centralizes people and their beliefs. We aimed to identify patient characteristics and health outcomes relating to: 1) COPD exacerbation-free days; 2) days with no more symptoms than usual; and 3) combined COPD exacerbation and comorbid flare-up-free days (i.e. chronic heart failure, anxiety, depression flare-ups) using negative binomial regression analyzes. Data were obtained from two self-management intervention trials including COPD patients with and without comorbidities. 313 patients (mean age 66.0 years, 63.6% male, 68.7% comorbidity) were included. Better baseline chronic respiratory questionnaire (CRQ) fatigue (incidence rate ratio (IRR) = 1.03 (95% CI 1.01–1.05), p = 0.02) and mastery scores (IRR = 1.03 (95% CI 1.00–1.06), p = 0.04) and fewer courses of antibiotics (IRR = 0.95 (95% CI 0.94–0.96), p

In computer-based testing it has become standard to collect response accuracy (RA) and response times (RTs) for each test item. IRT models are used to measure a latent variable (e.g., ability, intelligence) using the RA observations. The information in the RTs can help to improve routine operations in (educational) testing, and provide information about speed of working. In modern applications, the joint models are needed to integrate RT information in a test analysis. The R-package LNIRT supports fitting joint models through a user-friendly setup which only requires specifying RA, RT data, and the total number of Gibbs sampling iterations. More detailed specifications of the analysis are optional. The main results can be reported through the summary functions, but output can also be analysed with Markov chain Monte Carlo (MCMC) output tools (i.e., coda, mcmcse). The main functionality of the LNIRT package is illustrated with two real data applications.

Empathy is an important competence for communication professionals. This article investigates two aspects of empathy in an educational setting: the validity of self versus other assessments and the manifestation of empathy in communicative behaviors. Communication students were given a mediating role in discussions with two clients and their empathy was measured using self-ratings and client assessments. Videos of highest- and lowest-rated students were analyzed to identify empathy-related behaviors. No correlation was found between self-rated empathy and clients’ assessments. Several verbal and nonverbal behaviors corresponded to empathy: body language, an other-orientation in asking questions, paraphrasing, and a solution orientation.

Microscale functional materials permit advanced applications in optics and photonics. This work presents the additive manufacturing of three-dimensional structured phosphors emitting red, green, blue, and white. The development is a step forward to realizing additive colour synthesis within complex architectures of relevance in integrated optics or light-emitting sources.

The Netherlands has a history of land reclamation from the sea. They deploy a large amount of infrastructure for water management, e.g., dike rings, pumping stations, drainage canals, and almost every water body in the country is under engineered control. The Dutch consider land as a precious good that shouldn’t be spoiled and as a result, infrastructure is never abandoned, but preferably refurbished, renovated, reinforced or replaced. Over the past 30 years, the Dutch learned that water cannot only be turned and controlled with infrastructure but should also be accommodated and accepted as a guiding principle in spatial policy making. In this commentary we compare lessons from the Netherlands with Florida where engineered water control has also reached its limits. The Dutch developed a Room for the River Program to accommodate more water, a Freshwater Strategy to better utilize the underground sponge capacity, and a Spatial Adaptation Program to better adapt to weather extremes in urban areas.