Multiple Approaches Research Articles

Integrated Prediction Model for Upstream Reservoir Sedimentation in a Weir: A Comprehensive Analysis Using Numerical and Experimental Approaches

In this study, a new empirical equation was established to predict the sedimentation volume resulting from the construction of a multi-purpose weir or low-head dam using experimental approaches. Applying the 1-D numerical model (STAFF), which is based on Exner’s equation, 2545 cases were simulated and laboratory experiments were conducted with various sediment particle sizes, channel slopes, inlet discharge, and outlet water elevation. Short-term predictions were conducted through laboratory experiments with movable bed, and the results indicated that dimensionless unit stream power and the Shields parameter exhibited the most significant correlation with dimensionless deposition volume. In particular, we analyzed the phenomenon in which the backwater effect and reservoir delta. Using a multiple regression approach, the developed empirical equation was validated for predicting sedimentation in the upstream reservoir of the weir.

Tip Growth Defective1 interacts with the cellulose synthase complex to regulate cellulose synthesis in Arabidopsis thaliana.

Plant cells possess robust and flexible cell walls composed primarily of cellulose, a polysaccharide that provides structural support and enables cell expansion. Cellulose is synthesised by the Cellulose Synthase A (CESA) catalytic subunits, which form cellulose synthase complexes (CSCs). While significant progress has been made in unravelling CSC function, the trafficking of CSCs and the involvement of post-translational modifications in cellulose synthesis remain poorly understood. In order to deepen our understanding of cellulose biosynthesis, this study utilised immunoprecipitation techniques with CESA6 as the bait protein to explore the CSC and its interactors. We have successfully identified the essential components of the CSC complex and, notably, uncovered novel interactors associated with CSC trafficking, post-translational modifications, and the coordination of cell wall synthesis. Moreover, we identified TIP GROWTH DEFECTIVE 1 (TIP1) protein S-acyl transferases (PATs) as an interactor of the CSC complex. We confirmed the interaction between TIP1 and the CSC complex through multiple independent approaches. Further analysis revealed that tip1 mutants exhibited stunted growth and reduced levels of crystalline cellulose in leaves. These findings suggest that TIP1 positively influences cellulose biosynthesis, potentially mediated by its role in the S-acylation of the CSC complex.

Multi-factor optimized mobile sink data collection framework for hybrid WSN-LTE assisted IoT network

The convergence of wireless sensor network-assisted Internet of Things has diverse applications. In most applications, the sensors are battery-powered, and it is necessary to use the energy judiciously to extend their functional duration effectively. Mobile sinks-based data collection is used to extend the lifespan of these networks. But providing a scalable and effective solution with consideration for multi-criteria factors of quality of service and lifetime maximization is still a challenge. This work addresses this problem with a hybrid wireless sensor network-Long term evolution assisted architecture. The problem of maximizing lifetime and providing multi-factor quality of service is solved as a two-stage optimization problem involving clustering and data collection path scheduling. Hybrid meta-heuristics is used to solve the clustering optimization problem. Minimal Steiner tree-based graph theory is applied to schedule the data collection path for sinks. Unlike existing works, the lifetime maximization without QoS degradation is addressed by hybridizing multiple approaches of multi-criteria optimal clustering, optimal path scheduling, and network adaptive traffic class-based data scheduling. This hybridization helps to extend the lifetime and enhance the QoS regarding packet delivery within the proposed solution. Through simulation analysis, the introduced approach yields a noteworthy increase of at least 6% and reduces packet delivery delay by 26% compared to existing methodologies.

Perceived and received social support functions among UEFA B licensed women football coaches

ABSTRACT Literature that focuses on women coaches indicates frequent experiences of difficult social environments in the coaching community. Individuals who are more socially integrated and satisfied with their social network are likely to overcome these demanding situations more effectively and have higher levels of well-being. Therefore, this study explored perceived and received social support functions among UEFA B licensed women football coaches. An exploratory, multiple case study approach was used to collect data from three white British women football coaches (Mage = 26.6, SD = 1.2 years, Mexperience = 7.6, SD = 3.7 years). Each coach engaged in two semi-structured interviews that were conducted three or four months apart. We analysed the interview data using abductive thematic analysis. The coaches reported receiving social support that they perceived as unhelpful such as a tutor giving them easier drills to coach on coaching courses. However, they also received positive exchanges of social support resources (e.g., emotional support or providing a lift to coaching), which predominantly came from friends and family. The women coaches generally felt supported by the social networks that they had access to. However, there was an overall perception that the coaches would like support to be more easily accessible (e.g., via formal coaching networks). Given the pertinence of social support functions for performance and psychological well-being, applied implications that aim to better support women coaches are discussed.

Design organization and clinical processes around patient characteristics: Evidence from a multiple case study of Hemophilia.

Background: There is growing evidence of the relevance of designing organization of care around patient characteristics; this is especially true in the case of complex chronic diseases.Purpose: The goal of the paper - that focuses on the analysis of the clinical condition hemophilia in three different centers - is to address two different research questions:1. How can we define, within the same clinical condition, different patient profiles homogeneous in terms of intensity of service required (e.g. number of visits or diagnostics)? 2. What are the conditions to re-organize care around these patient profiles in a multidisciplinary and coordinated manner?Research design: The authors have used a multiple case study approach combining both qualitative and quantitative methodologies; in particularly the semi-structured interviews and the direct observation were aimed to map the process in order to come up with an estimate of the cost of the full cycle of care.Study sample: The research methodology has been applied consistently in three different centers. The selection of the structures has been based on two main different criteria: (i) high standards regarding both organizational and clinical aspects and (ii) willingness from management, nurses and physicians to provide data.Results: The study clearly shows that different patient profiles - within the same clinical condition - trigger a different set of diagnostic and therapeutic activities. It is, thus, important considering patient characteristics in the development and implementation of clinical pathways and this will imply relevant differences in terms of organizational and economic impact.Conclusions: These process-based analyses are very much critical especially if we want to move to a bundled and integrated payment system but, as shown by this study itself, require a lot of time and efforts since our healthcare information systems are still fragmented and vertically designed.

Linear Matrix Inequality-Based Robust Model Predictive Speed Control for a Permanent Magnetic Synchronous Motor with a Disturbance Observer

In this paper, a linear matrix inequality (LMI)-based robust model predictive speed control (RMPSC) with a disturbance observer (DOB) is proposed to guarantee stability and control performance against the parameter uncertainty and disturbance of a permanent magnetic synchronous motor (PMSM). All external torques applied to the PMSM are defined as disturbance, estimated by the DOB, and used to construct the RMPSC method. The proposed DOB and RMPSC are determined by a multiple LMI-based optimization approach. Furthermore, parameter uncertainty within a certain range, due to manufacturing errors or aging deterioration, is considered and a systematic tuning method is proposed to obtain the optimal gains. Finally, an offline optimization method is developed that ensures a low computational load to enable real-time processing. Simulation results demonstrate the effectiveness and validity of the proposed control method.

Comparative Study of Spheroids (3D) and Monolayer Cultures (2D) for the In Vitro Assessment of Cytotoxicity Induced by the Mycotoxins Sterigmatocystin, Ochratoxin A and Patulin.

Mycotoxins are secondary metabolites produced by filamentous fungi associated with a variety of acute and chronic foodborne diseases. Current toxicology studies mainly rely on monolayer cell cultures and animal models, which are undeniably affected by several limitations. To bridge the gap between the current in vitro toxicology approach and the in vivo predictability of the data, we here investigated the cytotoxic effects induced by the mycotoxins sterigmatocystin (STE), ochratoxin A (OTA) and patulin (PAT) on different 2D and 3D cell cultures. We focused on human tumours (neuroblastoma SH-SY5Y cells and epithelial breast cancer MDA-MB-213 cells) and healthy cells (bone marrow-derived mesenchymal stem cells, BM-MSC, and umbilical vein endothelial cells, HUVECs). The cytotoxicity of STE, OTA, and PAT was determined after 24, 48 and 72 h of exposure using an ATP assay in both culture models. Three-dimensional spheroids' morphology was also analysed using the MATLAB-based open source software AnaSP 1.4 version. Our results highlight how each cell line and different culture models showed specific sensitivities, reinforcing the importance of using more complex models for toxicology studies and a multiple cell line approach for an improved and more comprehensive risk assessment.

Re-focusing sampling, design and experimental methods to assess rapid evolution by non-native plant species

AbstractEvolution can occur over contemporary timescales, which may be crucial for the invasive success of non-native plant species. Many studies have shown rapid evolution by comparing native and non-native populations in common gardens. However, our understanding of the mechanisms underpinning rapid evolution is still incomplete. Here, we identify the progress, applications, and limitations of studies on rapid evolution of non-native plants with respect to sampling, experimental design and experimental methods. To encompass broad variation within and between the ranges, we recommend sampling across large-scale environmental gradients. We also suggest careful consideration of pitfalls related to the choice of seed families and of the biotic interaction under focus. The latter should be chosen with a view on both the experimental treatment and the corresponding field data to estimate population history. Furthermore, we suggest exploiting multiple omics approaches to address the complexity of biotic interactions, and to account for non-adaptive evolution with molecular data on demographic history of populations. We also reviewed papers that studied rapid evolution in non-native plants and quantified how many of these met our criteria. We anticipate that disentangling adaptive and non-adaptive drivers of among-population variation can increase the accuracy of research on rapid evolution, and that integrating phenotypic, metabolomic and population genomic data can bring opportunities for studying complex biotic interactions. We also illustrate the importance of large collaborative networks and present our scientific network iCONNECT (integrative CONyza NEtwork for Contemporary Trait evolution), with the goal of motivating similar studies on the mechanistic understanding of rapid evolution.

Field-based assessments of the seasonality of Culexpipiens sensu lato in England: an important enzootic vector of Usutu and West Nile viruses

BackgroundUsutu virus (USUV), which is closely related to West Nile virus (WNV), sharing a similar ecology and transmission cycle, was first reported in the UK in the southeast of England in 2020. Both USUV and WNV are emerging zoonotic viruses hosted by wild birds. The 2020 finding of USUV in England raised awareness of this virus and highlighted the importance of understanding the seasonality of Culexpipiens sensu lato (Cx. pipiens s.l.), the main enzootic vector of these viruses. Zoos are prime locations for trapping mosquitoes because of their infrastructure, security, and range of vertebrate hosts and aquatic habitats.MethodsThree independent zoo-based case studies at four locations that cover the seasonality of Cx.pipiens s.l. in England were undertaken: (i) London Zoo (Zoological Society London [ZSL]) and surrounding areas, London; (ii) Chester Zoo (Cheshire); (ii) Twycross Zoo (Leicestershire); and (iv) Flamingo Land (zoo; North Yorkshire). Various adult mosquito traps were used to catch adult Cx.pipiens s.l. across seasons.ResultsHigh yields of Cx.pipiens s.l./Culex torrentium were observed in Biogents-Mosquitaire and Center for Disease Control and Prevention Gravid traps in all studies where these traps were used. Mosquito counts varied between sites and between years. Observations of adult Cx.pipiens s.l./Cx. torrentium abundance and modelling studies demonstrated peak adult abundance between late July and early August, with active adult female Cx.pipiens s.l./Cx. torrentium populations between May and September.ConclusionsThe information collated in this study illustrates the value of multiple mosquito monitoring approaches in zoos to describe the seasonality of this UK vector across multiple sites in England and provides a framework that can be used for ongoing and future surveillance programmes and disease risk management strategies.Graphical

A 10-step participatory program for developing, implementing, and evaluating physical activity promoting actions in nursing homes in Germany

BackgroundSince multidimensional barriers challenge nursing homes, a socio-ecological approach is needed for physical activity promotion in this setting. So far, little is known about how such an approach can be transferred into the successful development and implementation of PA-promoting actions together with stakeholders on-site. We aimed to investigate the actions and dimensions of PA-promoting actions and their sustainable implementation. To contribute to closing this gap, we present a 10-step program for co-developing and co-evaluating PA-promoting actions in nursing homes through an integrated counselling approach.MethodsWe used a multiple case study approach that built upon manifold data sources, collected in 7 nursing homes over 3 years between 2021 and 2023. We collected fieldnotes and photologs from 14 future workshops (2 per home); 7 evaluation workshops (1 per home); 36 individual counsellings (2 sessions per resident), as well as 87 implementation protocols (action type and frequency), 11 evaluation questionnaires (changes among resources, cooperations, and collaborations); 7 goal attainment scales and 18 individual activity schedules. In addition, we retrieved and documented progress information at regular intervals by phone or email.ResultsWith staff, residents, relatives, and volunteers, we co-developed 112 ideas for PA promotion; from which 54 ideas were implemented and integrated into everyday life, differentiated into “activities of daily living,” “structured activities,” and “activity-friendly environments.”; 18 residents in 4 homes participated in individual counselling to develop individual activity schedules. Eighteen actions were rated as “(much) more successful than expected”; 10 “(much) worse than expected,” and 23 “as successful as expected.” Three actions were not evaluated.DiscussionThe participatory integrated counselling approach led to home-specific actions and promoted implementation into everyday life. The number and dimensions of actions implemented largely depended on the mission and vision of the respective home. The lack of staff could partially be compensated for by involving neighbourhoods, volunteers, and community organisations, such as local clubs.ConclusionTo effectively promote PA in nursing homes, a tailored approach considering structural conditions, locations, volunteer engagement, and organisational visions is essential. Long-lasting partnerships and low-threshold opportunities prove promising. Future research should delve into structural-level change processes and outcomes in this context.

How Shifting Focus from Register to Data Functionality Can Enhance Register and Bus Management

Bus and register management is one of the crucial aspects of application-specific integrated circuit-, system-on-chip-, or field-programmable gate array-based designs. The problems related to it are well known, and multiple tools or approaches are already trying to solve or mitigate them. However, all available solutions share the same register-centric paradigm. A user defines registers and then manually lays out the data into the registers. Such an approach has its limitations. A description does not contain information on data spanning multiple registers or data forming a broader context, for example, procedure arguments. It also does not contain information on the purpose of the data. As a result, the generated access code is low-level and usually needs an extra wrapper, which leaves room for potential human mistakes. For instance, it is the user’s responsibility to guarantee proper access order to registers or to provide an atomic change of data wider than a single register width. This article proposes a new approach, the functionality-centric approach. In the functionality-centric approach, the user defines the data with the type of their functionality. The registers and bus hierarchy are later implicitly inferred. By defining the functionality of the data placed in the registers, it is possible to generate more access code, increase code robustness, improve system design readability, and shorten the implementation process.

Simulation and prediction of water temperature in a water transfer channel during winter periods using a new approach based on the wavelet noise reduction-deep learning method

Abstract In winter, the water transfer channel of the Middle Route of South-to-North Water Transfer Project (MR-StNWTP) in China always encounters ice problems. The preciously simulation and prediction of water temperature is essential for analyzing the ice condition, which is important for the safety control of the water transfer channel in winter. Due to the difference of specific heat between water and air, when the air temperature rises and falls dramatically, the range of change of water temperature is relatively small and has a lag, which often affects the accuracy of simulation and prediction of water temperature based on air temperature. In the present study, a new approach for simulating and predicting water temperature in water transfer channels in winter has been proposed. By coupling the neural network theory to equations describing water temperature, a model has been developed for predicting water temperature. The temperature data of prototype observations in winter are preprocessed through the wavelet decomposition and noise reduction. Then, the wavelet soft threshold denoising method is used to eliminate the fluctuation of certain temperature data of prototype observations, and the corresponding water temperature is calculated afterward. Compared to calculation results using both general neural network and multiple regression approaches, the calculation results using the proposed model agree well with those of prototype measurements and can effectively improve the accuracy of prediction of water temperature.

The Efficacy of Muscle Energy and Mulligan Mobilization Techniques for the Upper Extremities and Posture after Breast Cancer Surgery with Axillary Dissection: A Randomized Controlled Trial.

Background: Breast cancer surgeries affect the upper extremities and posture. This study aimed to examine the efficacy of muscle energy and Mulligan mobilization techniques on the upper extremities and posture after breast cancer surgery with axillary dissection. Methods: A total of 90 female participants who had undergone breast cancer surgery with axillary dissection were recruited and randomly assigned to three groups. Group A received a combination of the Mulligan and muscle energy techniques, while Groups B and C received either the Mulligan or muscle energy techniques for six weeks, respectively. The study measured the shoulders' range of motion, posture, and upper-extremity disabilities. Outcome measurements were taken at three different time points: baseline, post-intervention, and at eight-week follow-up. Results: All the interventions significantly improved the study outcomes. The combination of the Mulligan and muscle energy techniques was significantly better than a single intervention. Mulligan mobilization was superior to the muscle energy techniques in terms of improving the shoulders' range of motion and disability. The interventions showed a significant effect pre-post-treatment and pre-follow-up but not post-follow-up. Conclusions: The Mulligan mobilization and muscle energy techniques have been found beneficial in improving the postural changes and shoulder outcomes after breast cancer surgery with axillary dissection. The superior effectiveness of the combined interventions points out the importance of integrating multiple therapeutic approaches for optimal outcomes. Regular examination and long-term follow-up assessment are important for studying the effect of rehabilitation interventions in people after the late stages of breast surgery.

A multiple baseline approach for marine heatwaves

AbstractMarine heatwaves and other extreme temperature events can drive biological responses, including mass mortality. However, their effects depend on how they are experienced by biological systems (including human societies). We applied two different baselines (fixed and shifting) to a time series of North Sea water temperature to explore how slowly vs. quickly adapting systems would experience extreme temperatures. We tested if the properties of marine heatwaves and the association with atmospheric heatwaves were robust to a change in baseline. A fixed baseline produced an increase in the frequency and duration of marine heatwaves, which would be experienced as the new normal by slowly adapting systems; 7 of the 10 most severe heatwaves occurred between 1990 and 2018. The shifting baseline removed the trend in the frequency but not duration of heatwaves; the 1990s appeared as a period of change in the frequency of strong and severe heatwaves as compared to the 1980s. There were also common patterns among baselines: marine heatwaves were more frequent in late summer when temperatures peak; temperature variability was characterized by low frequency, large amplitude fluctuations (i.e., as red noise), known to drive extinction events. In addition, marine heatwaves occurred during or just after atmospheric heatwaves. Our work highlights the importance of identifying properties of marine heatwaves that are robust or contingent on a change in baseline.

Intensification of a microbial electrolysis cell for biohydrogen production

Hydrogen can be the fuel of the future, and there are multiple approaches for its production and storage. Most hydrogen production comes from non-renewable sources, primarily natural gas reforming, which is efficient but unsustainable. Microbial electrolysis cells (MEC) are alternative developing technologies that exploit conductor-like properties of electrogenic bacteria to both oxidize organic contaminants and get protons reduced in a cathode, thus producing hydrogen. Here, the aim is to design a model-based optimization framework to intensify the MEC efficiency. The constructed process model is proposed by considering transport phenomena, microbial kinetics, and a secondary current distribution model to estimate steady-state reactor performance and electrical efficiency. The results show a value of 25 % for electrical efficiency as hydrogen recovered. Global sensitivity analysis was performed and determined a strong dependency on inlet liquid velocity, and a built-in, gradient-free optimization algorithm was implemented to the model to maximize electrical efficiency under a defined range of inlet liquid velocity, inlet substrate concentration, and applied voltage. The proposed model predicts a maximum increase of efficiency of about 267 % by increasing inlet velocity and substrate concentration. Intensification of the cell's performance can be greatly achieved when halving hydraulic retention time and by having a more concentrated feed.

What makes national sport federations consider environmental sustainability? A conceptual framework on the agenda setting process based on a multiple case study

Introduction
 In Europe, more than 60 million people practice sport in a club. Through the consumption behaviour of this large number of sport club members, organised sport not only has positive impacts, but can be deleterious to the environment, for example through travel behaviour or the destruction of natural habitats caused by sport activities and required infrastructure (McCullough et al., 2020). National sport federations, which represent sport clubs and engage in sport policy issues, could be crucial when it comes to taking measures concerning the environmental sustainability of and through organised sport. However, sport federations are traditionally committed to the interests of their members and sport as their core business (Thiel & Mayer, 2009). Therefore, this study addresses the extent to which environmental policies are set on agendas in national sport federations and which drivers are relevant for the agenda setting of such policies.
 Methods
 To gain a comprehensive and in-depth understanding of these questions, we conducted an explorative qualitative multiple case study with eight Swiss sport federations. To investigate the agenda-setting process in sport organisations, we employed the multiple streams approach by Kingdon (1984).
 Results
 The developed conceptual framework shows that whereas nature conservation policies were primarily driven by national regulations, climate protection policies were pushed by engaged functionaries of the federations. Functional issues (as opposed to normative arguments), sponsor and member interests, practices of other federations and societal developments could further facilitate or impede the agenda setting of all types of environmental policies.
 Discussion/Conclusion
 This study provides valuable insights into the drivers of the agenda setting of environmental policies in national sport federations. Furthermore, it outlines the fit and limitations of the multiple streams approach according to Kingdon (1984) to explain agenda setting processes in national sport federations and extends it by external factors to gain a more holistic perspective of the phenomenon. Understanding drivers in the agenda setting of environmental policies in national sport federations is especially important because it is a prerequisite for the subsequent decision making and implementation of such policies and can help to shape the response of the organised sport to environmental challenges.
 References
 Kingdon, J. W. (1984). Agendas, alternatives, and public policies. Little Brown and Co.
 McCullough, B. P., Orr, M., & Watanabe, N. M. (2020). Measuring externalities: The imperative next step to sustainability assessment in sport. Journal of Sport Management, 34(5), 393–402. https://doi.org/10.1123/jsm.2019-0254
 Thiel, A., & Mayer, J. (2009). Characteristics of voluntary sports clubs management: A sociological perspective. European Sport Management Quarterly, 9(1), 81–98. https://doi.org/10.1080/16184740802461744

Prediction model of undisturbed ground temperature using artificial neural network (ANN) and multiple regressions approach

The prediction of ground temperature is of utmost importance for evaluating temperature fluctuations in both the surface and subsurface of the ground and is essential for making informed decisions. The prediction of daily ground temperature can be used in a variety of engineering fields, such as in environmental and geothermal systems. The objective of this study is to develop ground-temperature prediction models at various depths, using Multiple Linear Regression (MLR), Nonlinear Regression (NLR), and Artificial Neural Network (ANN) methods. Seven predictor variables, including ambient temperature, daily precipitation, wind speed, relative humidity, local atmospheric pressure, sunshine duration, and solar radiation, provided by the Korean Meteorological Administration (KMA), were utilized. Moreover, a database consisting of 2091 (winter) and 1034 (summer) data for each of the predictor variables and ground temperature were established for the model to predict hourly ground temperature at depths of 0, 1, 3, 5, 10, 15, and 20 m. To evaluate the performance of the prediction models, statistical metrics, including the coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and average absolute relative error (AARE), were used. The performance results show that the value of R2 ranges from 65 % to 99 % in the validation phase of each model, indicating that the prediction models accurately predict the ground temperature. Based on statistical methods, the developed ANN model displays an excellent fit with observed field values when compared to the MLR and NLR models.

Measured and simulated mechanical properties of additively manufactured matrix-inclusion multimaterials fabricated by material jetting

Modern additive manufacturing enables the simultaneous processing of different materials during the printing process. While multimaterial 3D printing allows greater freedom in part design, the prediction of the mix-material properties becomes challenging. One type of multimaterials are matrix-inclusion composites, where one material contains inclusions of another material. Aim of this study was to develop a method to predict the uniaxial Young’s modulus and Poisson’s ratio of material jetted matrix-inclusion composites by a combination of simulations and experimental data.Fifty samples from commercially available materials in their pure and matrix-inclusion mixed forms, with cubic inclusions, have been fabricated using material jetting and mechanically characterized by uniaxial tensile tests. Multiple simulation approaches have been assessed and compared to the measurement results in order to find and validate a method to predict the multimaterials’ properties. Optical coherence tomography and microscopy was used to characterize the size and structure of the multimaterials, compared to the design.The materials exhibited Young’s moduli in the range of 1.4 GPa to 2.5 GPa. The multimaterial mixtures were never as stiff as the weighted volume average of the primary materials (up to 33.9%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$33.9\\%$$\\end{document} softer for 45% RGD8530-DM inclusions in VeroClear matrix). Experimental data could be predicted by finite element simulations by considering a non-ideal contact stiffness between matrix and inclusion (FA=2.2TNm3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F_A=2.2\\frac{TN}{m^3}$$\\end{document} for RGD8530-DM, FA=4.8TNm3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F_A=4.8\\frac{TN}{m^3}$$\\end{document} for RGD8430-DM), and geometries of the printed inclusions that deviated from the design (rounded edge radii of r=220μ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$r=220\\,\\upmu$$\\end{document}m). Not considering this would lead to a difference of the estimation result of up to 612\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$612\\,$$\\end{document}MPa (44%), simulating an inclusion volume fraction of 45% RGD8530-DM.Prediction of matrix-inclusion composites fabricated by multimaterial jetting printing, is possible, however, requires a priori knowledge or additional measurements to characterize non-ideal contact stiffness between the components and effective printed geometries, precluding therefore a simple multimaterial modelling.

Venous Thromboembolism Among People With HIV: Design, Implementation, and Findings of a Centralized Adjudication System in Clinical Care Sites Across the United States.

People with HIV (PWH) are at increased risk for venous thromboembolism (VTE). We conducted this study to characterize VTE including provoking factors among PWH in the current treatment era. We included PWH with VTE between 2010 and 2020 at 6 sites in the CFAR Network of Integrated Clinical Systems cohort. We ascertained for possible VTE using diagnosis, VTE-related imaging, and VTE-related procedure codes, followed by centralized adjudication of primary data by expert physician reviewers. We evaluated sensitivity and positive predictive value of VTE ascertainment approaches. VTEs were classified by type and anatomic location. Reviewers identified provoking factors such as hospitalizations, infections, and other potential predisposing factors such as smoking. We identified 557 PWH with adjudicated VTE: 239 (43%) had pulmonary embolism with or without deep venous thrombosis, and 318 (57%) had deep venous thrombosis alone. Ascertainment with clinical diagnoses alone missed 6% of VTEs identified with multiple ascertainment approaches. DVTs not associated with intravenous lines were most often in the proximal lower extremities. Among PWH with VTE, common provoking factors included recent hospitalization (n = 134, 42%), infection (n = 133, 42%), and immobilization/bed rest (n = 78, 25%). Only 57 (10%) PWH had no provoking factor identified. Smoking (46%), HIV viremia (27%), and injection drug use (22%) were also common. We conducted a robust adjudication process that demonstrated the benefits of multiple ascertainment approaches followed by adjudication. Provoked VTEs were more common than unprovoked events. Nontraditional and modifiable potential predisposing factors such as viremia and smoking were common.

Endoplasmic reticulum stress regulators exhibit different prognostic, therapeutic and immune landscapes in pancreatic adenocarcinoma.

Endoplasmic reticulum stress (ERS) and unfolded protein response are the critical processes of tumour biology. However, the roles of ERS regulatory genes in pancreatic adenocarcinoma (PAAD) remain elusive. A novel ERS-related risk signature was constructed using the Lasso regression analysis. Its prognostic value, immune effect, metabolic influence, mutational feature and therapeutic correlation were comprehensively analysed through multiple bioinformatic approaches. The biofunctions of KDELR3 and YWHAZ in pancreatic cancer (PC) cells were also investigated through colony formation, Transwell assays, flow cytometric detection and a xenograft model. The upstream miRNA regulatory mechanism of KDELR3 was predicted and validated. ERS risk score was identified as an independent prognostic factor and could improve traditional prognostic model. Meanwhile, it was closely associated with metabolic reprogramming and tumour immune. High ERS risk enhanced glycolysis process and nucleotide metabolism, but was unfavourable for anti-tumour immune response. Moreover, ERS risk score could act as a potential biomarker for predicting the efficacy of ICBs. Overexpression of KDELR3 and YWHAZ stimulated the proliferation, migration and invasion of SW1990 and BxPC-3 cells. Silencing KDELR3 suppressed tumour growth in a xenograft model. miR-137 could weaken the malignant potentials of PC cells through inhibiting KDELR3 (5'-AGCAAUAA-3'). ERS risk score greatly contributed to PAAD clinical assessment. KDELR3 and YWHAZ possessed cancer-promoting capacities, showing promise as a novel treatment target.